<?xml version="1.0" encoding="UTF-8"?>
<codeBook version="1.2.2" ID="ZAF_1970_PHC_v01_M" xml-lang="en" xmlns="http://www.icpsr.umich.edu/DDI" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.icpsr.umich.edu/DDI http://www.icpsr.umich.edu/DDI/Version1-2-2.xsd">
<docDscr>
  <citation>
    <titlStmt>
      <IDNo>DDI_ZAF_1970_PHC_v01_M</IDNo>
    </titlStmt>
    <prodStmt>
      <producer abbr="" affiliation="University of Cape Town" role="Producer">DataFirst</producer>
      <prodDate date="2011-07-14">2011-07-14</prodDate>
      <software version="v5">NADA</software>
    </prodStmt>
    <verStmt>
      <version>Version 1.0</version>
    </verStmt>
  </citation>
</docDscr>
<stdyDscr>
  <citation>
    <titlStmt>
      <titl>Population Census 1970</titl>
      <subTitl/>
      <altTitl>PHC 1970</altTitl>
      <parTitl/>
      <IDNo>ZAF_1970_PHC_v01_M</IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty affiliation="">Statistics South Africa</AuthEnty>
    </rspStmt>
    <prodStmt>
      <copyright>Copyright, Statistics South Africa</copyright>
      <software version="5.0" date="2021-12-11">NADA</software>
      <grantNo/>
    </prodStmt>
    <distStmt>
      <contact affiliation="University of Cape Town" URI="http://www.datafirst.uct.ac.za" email="info@data1st.org">Manager, DataFirst</contact>
      <depDate date=""/>
      <distDate date=""/>
    </distStmt>
    <serStmt>
      <serName>Population and Housing Census [hh/popcen]</serName>
      <serInfo/>
    </serStmt>
    <verStmt>
      <version date="2011-07-14">v01.2: Edited, anonymised dataset for licensed distribution</version>
      <verResp/>
      <notes>The first version of this dataset, released by Statistics South Africa and downloaded by DataFirst on the 7th of September 2001, had 6 data files: for dwellings, households, Africans, Coloureds, Asians and Whites.
A subsequent version, downloaded from Statistics South Africa's website on the 4th of July, 2011 contained a merged data file for the Coloured, Asian and White population groups (resulting in 4 data files) and the variables were labelled.
This version is the version downloaded on the 4th of July 2011, with value labels added by DataFirst.</notes>
    </verStmt>
    <biblCit format=""/>
    <notes/>
  </citation>
  <stdyInfo>
    <studyBudget/>
    <subject>
      <topcClas vocab="CESSDA" vocabURI="http://www.nesstar.org/rdf/common">employment [3.1]</topcClas>
      <topcClas vocab="CESSDA" vocabURI="http://www.nesstar.org/rdf/common">in-job training [3.2]</topcClas>
      <topcClas vocab="CESSDA" vocabURI="http://www.nesstar.org/rdf/common">labour relations/conflict [3.3]</topcClas>
      <topcClas vocab="CESSDA" vocabURI="http://www.nesstar.org/rdf/common">retirement [3.4]</topcClas>
      <topcClas vocab="CESSDA" vocabURI="http://www.nesstar.org/rdf/common">unemployment [3.5]</topcClas>
      <topcClas vocab="CESSDA" vocabURI="http://www.nesstar.org/rdf/common">working conditions [3.6]</topcClas>
      <topcClas vocab="CESSDA" vocabURI="http://www.nesstar.org/rdf/common">censuses [14.1]</topcClas>
      <topcClas vocab="CESSDA" vocabURI="http://www.nesstar.org/rdf/common">fertility [14.2]</topcClas>
      <topcClas vocab="CESSDA" vocabURI="http://www.nesstar.org/rdf/common">migration [14.3]</topcClas>
      <topcClas vocab="CESSDA" vocabURI="http://www.nesstar.org/rdf/common">morbidity and mortality [14.4]</topcClas>
      <topcClas vocab="CESSDA" vocabURI="http://www.nesstar.org/rdf/common">income, property and investment/saving [1.5]</topcClas>
      <topcClas vocab="CESSDA" vocabURI="http://www.nesstar.org/rdf/common">housing [10.1]</topcClas>
      <topcClas vocab="CESSDA" vocabURI="http://www.nesstar.org/rdf/common">children [12.1]</topcClas>
      <topcClas vocab="CESSDA" vocabURI="http://www.nesstar.org/rdf/common">religion and values [13.5]</topcClas>
    </subject>
    <abstract>The 1970 South African Population Census was an enumeration of the population and housing in South Africa.The census collected data on dwellings and individuals' demographic, migration, family and employment details.</abstract>
    <sumDscr>
      <collDate date="1970-05-06" event="start" cycle=""/>
      <collDate date="" event="end" cycle=""/>
      <nation abbr="ZAF">South Africa</nation>
      <geogCover>National coverage of the so-called white areas of South Africa, i.e. the areas in the former four provinces of the Cape, the Orange Free State, Transvaal, and Natal, and the so-called National States of Ciskei, KwaZulu, Gazankulu, Lebowa, Qwaqwa, Kangwane, Kwandebele, Transkei and Bophuthatswana.</geogCover>
      <geogUnit>The lowest level of geographical aggregation covered by the data is place name (see the report "The 1970 Population Census of the RSA for a full list of place names).</geogUnit>
      <anlyUnit>The units of analysis for the South African Census 1970 were households and individuals</anlyUnit>
      <universe>The South African population census of 1970 covered all de jure household members (usual residents) of South Africa and the "national states".

The Census was enumerated on a de facto basis, that is, according to the place where persons were located during the census. All persons who were present on Republic of South African territory during census night were enumerated and included in the data. Visitors from abroad who were present in the RSA on holiday or business on the night of the census, as well as foreigners (and their families) who were studying or economically active, were not enumerated and included in the figures. Likewise, members of the Diplomatic and Consular Corps of foreign countries were not included. However, the South African personnel linked to the foreign missions including domestic workers were enumerated.  Crews and passengers of ships were also not enumerated, unless they were normally resident in the Republic of South Africa.  Residents of the RSA who were absent from the night were as far as possible enumerated on their return and included in the region where they normally resided. Personnel of  the South African Government stationed abroad and their families were, however enumerated. Such persons were included in the Transvaal (Pretoria).</universe>
      <dataKind>Census/enumeration data [cen]</dataKind>
    </sumDscr>
    <!-- qualityStatement - ddi2.5 - complex type
     
     This structure consists of two parts, standardsCompliance and otherQualityStatements. 
     In standardsCompliance list all specific standards complied with during the execution of this 
     study. Note the standard name and producer and how the study complied with the standard. 
     Enter any additional quality statements in otherQualityStatements.
     
     -->
    <qualityStatement>
      <standardsCompliance>
        <standard>
          <standardName/>
          <producer/>
        </standard>
        <complianceDescription/>
      </standardsCompliance>
      <otherQualityStatement/>
    </qualityStatement>
    <notes>The scope of the South African Census 1970 includes particulars of dwellings (type of dwelling, number of rooms, and ownership) and particulars of individuals (relationship within the household, sex, age, marital status, population group, birthplace, country of citizenship, duration of residence at normal dwelling, religion/denomination, languages and literacy, level of education, sport and recreation, occupation, work status, identity of employer, economic sector and income). Particulars of the family are also covered, including children at boarding school, university or undergoing military training.</notes>
    <!-- exPostEvaluation ddi2.5
      Use this section to describe evaluation procedures not address in data evaluation processes. 
      These may include issues such as timing of the study, sequencing issues, cost/budget issues, 
      relevance, instituional or legal arrangments etc. of the study. 
      
      The completionDate attribute holds the date the evaluation was completed. 
      The type attribute is an optional type to identify the type of evaluation with or without 
      the use of a controlled vocabulary.
    -->
    <exPostEvaluation completionDate="" type="">
      <evaluationProcess/>
      <outcomes/>
    </exPostEvaluation>
  </stdyInfo>
  <method>
    <dataColl>
      <timeMeth/>
      <dataCollector abbr="SSA" affiliation="">Statistics South Africa</dataCollector>
      <!-- collectorTraining - DDI2.5
        
        Collector Training

        Describes the training provided to data collectors including internviewer training, process testing, 
        compliance with standards etc. This is repeatable for language and to capture different aspects of the 
        training process. The type attribute allows specification of the type of training being described.
        
        -->
      <collectorTraining type=""/>
      <frequenc/>
      <sampProc>The 1970 Census was a full count for Whites, Coloureds and Asians, and a 5% sample for Blacks (Africans)</sampProc>
      <sampleFrame>
        <sampleFrameName/>
        <custodian/>
        <universe/>
        <frameUnit isPrimary="">
          <unitType numberOfUnits=""/>
        </frameUnit>
        <updateProcedure/>
      </sampleFrame>
      <deviat>The country was divided into 400 census districts for the 1970 Census.  In most cases the boundaries of the census districts corresponded with those of the magisterial districts.  However, in some cases the boundaries did not correspond, particularly in the areas in and around the "National States".  This was to facilitate the administration of the census and to make it easier to exclude figures of the "National states" from provincial totals.</deviat>
      <collMode>Face-to-face [f2f]</collMode>
      <resInstru>The 1970 Population Census of the Republic of South Africa questionnaires were:
Form 01, to be completed by "Whites, Coloured and Asiatics"
Form 02, to be completed by "Bantu"
Form 03, for families, households and dwellings

Form 01 collected data on relationship to household head, population group, sex, age, marital status, place of birth, and citizenship, as well as usual place of residence, home language, religion, level of education and income. Employment data collected included occupation, employment status and industry type.

Form 02 collected data for African South Africans on relationship to household head, sex, age, marital status, fertility, place of birth, home language and literacy, religion and level of education. Employment data collected included occupation, employment status and industry type.

Form 03 collected household data, including data on dwelling type, building material of dwelling walls, number of rooms and age of the dwelling. Data on home ownership. 
Data was also collected on the number and sex of household members and their relationship to the household head.  Data on household heads included their population group, age and marital status. Income data was also collected, for husbands and wives.
Data on home ownership, household size and domestic workers was also collected, but for Urban households only.</resInstru>
      <!-- instrumentDevelopment - DDI2.5             
        Describe any development work on the data collection instrument. Type attribute allows for the optional use of a defined development type with or without use of a controlled vocabulary.
        -->
      <instrumentDevelopment type=""/>
      <collSitu>For data collection during the 1970 census RSA was divided into 400 census districts with a census supervisor in charge of enumeration in each such area. The enumeration procedures differed by area.The procedure in white urban areas was as follows:  Prior to the night of the census, every enumerator whose ESD fell within the limits of any municipality or other urban are, delivered the applicable questionnaires to every dwelling in the ESD. Thus for part of the country the 1970 Census was conducted by way of distributing census questionnaires beforehand and collecting the completed returns after the census day. In cases where the enumerator was requested to, as well as where the respondent was unable to complete the questionnaire, the census enumerator assisted in the completion thereof.

In white non-urban areas, questionnaires were not distributed before census day except to hotels. On census day the enumerator had to hand the questionnaires to the householder for immediate return.  
In black residential areas, enumerators carried out a comprehensive door-to-door survey. The particulars of all persons were entered on the appropriate questionnaire.  Particulars were filled out by the enumerator except where the respondent indicated that s(he) wanted to fill out the questionnaire him(herself).  Questionnaires were not distributed before census day. 
Every household was enumerated on a separate questionnaire.

For the purpose of the 1970 census urban area was defined as areas with some form of local authority.  Industrial and mine towns without any form of local authority and other areas not included under urban was defined as non-urban.</collSitu>
      <actMin/>
      <ConOps/>
      <weight/>
      <cleanOps/>
    </dataColl>
    <notes/>
    <anlyInfo>
      <respRate/>
      <EstSmpErr/>
      <dataAppr/>
    </anlyInfo>
    <stdyClas/>
    <dataProcessing type=""/>
    <codingInstructions relatedProcesses="" type="">
      <txt/>
      <command formalLanguage=""/>
    </codingInstructions>
  </method>
  <dataAccs>
    <setAvail>
      <accsPlac URI=""/>
      <origArch/>
      <avlStatus/>
      <collSize/>
      <complete/>
      <fileQnty/>
      <notes/>
    </setAvail>
    <useStmt>
      <restrctn/>
      <contact affiliation="University of Cape Town" URI="http://www.datafirst.uct.ac.za" email="info@data1st.org">DataFirst</contact>
      <citReq>Publications based on datasets distributed by DataFirst should acknowledge relevant sources by means of bibliographic citations. To ensure that such source attributions are captured for social science bibliographic utilities, citations must appear in footnotes or in the reference section of publications. The bibliographic citation for this dataset is:

Statistics South Africa.Population Census, 1970 [microdata file]. Pretoria: Statistics South Africa [producer], 2000. Cape Town: DataFirst [distributor], 2011.</citReq>
      <deposReq/>
      <conditions>Licensed dataset, accessible under conditions.</conditions>
      <disclaimer>The information products and services of Statistics South Africa are protected in terms of the Copyright Act, 1978 (Act 98 of 1978). As the State President is the holder of State copyright, all organs of State enjoy unhindered use of the Department's information products and services, without a need for further permission to copy in terms of that copyright. Where a copy of the information is made available to any third party outside the State, the third party must be made aware of the existence of State copyright and ownership of the information by the State. The State (through Statistics SA) retains the full ownership of its information, products and services at all times; access to information does not give ownership of the information to the client. The use of any data is subject to acknowledgement of Stats SA as the supplier and owner of copyright. Statistics South Africa (Stats SA) will not be liable for any damages or losses, except to the extent that such losses or damages are attributable to a breach by Stats SA of its obligations in terms of an existing agreement or to the negligence or wilful act or omissions of the Stats SA, its servants or agents, arising out of the supply of data and or digital products in terms of that agreement. The user indemnifies Stats SA against any claims of whatsoever nature (including legal costs) by third parties arising from the reformatting, restructuring, reprocessing and/or addition of the data, by the user.</disclaimer>
    </useStmt>
    <notes/>
  </dataAccs>
  <notes/>
</stdyDscr>
<fileDscr ID="F1">
  <fileTxt>
    <fileName>SA Census 1970 African5%_v01</fileName>
    <fileCont></fileCont>
    <dimensns>
      <caseQnty>0</caseQnty>
      <varQnty>22</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<fileDscr ID="F2">
  <fileTxt>
    <fileName>SA Census 1970 Dwellings_v01</fileName>
    <fileCont></fileCont>
    <dimensns>
      <caseQnty>0</caseQnty>
      <varQnty>57</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<fileDscr ID="F3">
  <fileTxt>
    <fileName>SA Census 1970 Hholds_v01</fileName>
    <fileCont></fileCont>
    <dimensns>
      <caseQnty>0</caseQnty>
      <varQnty>22</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<fileDscr ID="F4">
  <fileTxt>
    <fileName>SA Census 1970 WhitesColouredsAsians_full_v01</fileName>
    <fileCont></fileCont>
    <dimensns>
      <caseQnty>0</caseQnty>
      <varQnty>33</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<dataDscr>
<var ID="V1" name="ENUMAREA" files="F1" intrvl="contin">
  <labl>Supervisor area of enumeration</labl>
  <imputation>Supervisor area of enumeration</imputation>
  <security>Supervisor area of enumeration</security>
  <embargo>Supervisor area of enumeration</embargo>
  <respUnit>Supervisor area of enumeration</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This is the enumeration area code</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V2" name="SUBDIST" files="F1" intrvl="contin">
  <labl>Subdistrict</labl>
  <imputation>Subdistrict</imputation>
  <security>Subdistrict</security>
  <embargo>Subdistrict</embargo>
  <respUnit>Subdistrict</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This is the codelist of sub-districts in the 1970 population census</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V3" name="FORMNO" files="F1" intrvl="contin">
  <labl>Form number</labl>
  <imputation>Form number</imputation>
  <security>Form number</security>
  <embargo>Form number</embargo>
  <respUnit>Form number</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <varFormat type="numeric"/>
</var>
<var ID="V4" name="PROVINCE" files="F1" intrvl="discrete">
  <labl>Province or homeland</labl>
  <imputation>Province or homeland</imputation>
  <security>Province or homeland</security>
  <embargo>Province or homeland</embargo>
  <respUnit>Province or homeland</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Cape Province</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Natal</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Transvaal</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Free State</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Basutu Ba Borwa</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Lebowa</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Matshangana</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Swazi</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Tswana</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Venda</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Xhosa - Ciskei</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Xhosa - Transkei</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Zulu</labl>
  </catgry>
  <txt>This variable is the Province or "Homeland" in which the respondent resides</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V5" name="REGION" files="F1" intrvl="contin">
  <labl>Economic region</labl>
  <imputation>Economic region</imputation>
  <security>Economic region</security>
  <embargo>Economic region</embargo>
  <respUnit>Economic region</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable is the codelist of economic region in which the respondent resides</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V6" name="AREATYPE" files="F1" intrvl="discrete">
  <labl>Area type</labl>
  <imputation>Area type</imputation>
  <security>Area type</security>
  <embargo>Area type</embargo>
  <respUnit>Area type</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>White urban</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Bantu urban</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>White rural</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Bantu rural</labl>
  </catgry>
  <txt>This variable describes if the respondent resides in a rural or urban area of South Africa (and also defines if this is a "White" area or a "Bantu" area)</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V7" name="COLNO" files="F1" intrvl="discrete">
  <labl>Column</labl>
  <imputation>Column</imputation>
  <security>Column</security>
  <embargo>Column</embargo>
  <respUnit>Column</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <varFormat type="numeric"/>
</var>
<var ID="V8" name="POPGRP" files="F1" intrvl="discrete">
  <labl>Race</labl>
  <imputation>Race</imputation>
  <security>Race</security>
  <embargo>Race</embargo>
  <respUnit>Race</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>4</catValu>
    <labl>South African Blacks</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Foreign Blacks</labl>
    <catStat type="invd"/>
  </catgry>
  <txt>This variable indicates whether the "Black" respondent is South African or foreign (from the Codelist for "Bantus" 02-08)</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V9" name="SEX" files="F1" intrvl="discrete">
  <labl>Sex</labl>
  <imputation>Sex</imputation>
  <security>Sex</security>
  <embargo>Sex</embargo>
  <respUnit>Sex</respUnit>
  <qstn>
    <qstnLit>C. Sex</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
    <catStat type="invd"/>
  </catgry>
  <txt>The gender of the respondent</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V10" name="AGE" files="F1" intrvl="contin">
  <labl>Age</labl>
  <imputation>Age</imputation>
  <security>Age</security>
  <embargo>Age</embargo>
  <respUnit>Age</respUnit>
  <qstn>
    <qstnLit>D. Age- age in years of each person at last birthday. (For children under one year old, write "0")</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The age of the respondent</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V11" name="MARSTAT" files="F1" intrvl="discrete">
  <labl>Marital status</labl>
  <imputation>Marital status</imputation>
  <security>Marital status</security>
  <embargo>Marital status</embargo>
  <respUnit>Marital status</respUnit>
  <qstn>
    <qstnLit>E. Marital status</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Never married</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Married</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Widowed</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Divorced</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Living together; not married</labl>
  </catgry>
  <txt>The respondent's marital status</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V12" name="POB" files="F1" intrvl="discrete">
  <labl>Place of birth</labl>
  <imputation>Place of birth</imputation>
  <security>Place of birth</security>
  <embargo>Place of birth</embargo>
  <respUnit>Place of birth</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>South Africa</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>South West Africa (Namibia)</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Rhodesia (Zimbabwe)</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Malawi</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Lesotho</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Swaziland</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Botswana</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Tanzania</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Mozambique</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Angola</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Unspecified</labl>
  </catgry>
  <txt>The place of birth of the respondent</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V13" name="OCC" files="F1" intrvl="contin">
  <labl>Occupation</labl>
  <imputation>Occupation</imputation>
  <security>Occupation</security>
  <embargo>Occupation</embargo>
  <respUnit>Occupation</respUnit>
  <qstn>
    <qstnLit>H(1). Present occupation (kind of work done) - example: lorry driver, teacher, domestic servant, policeman, housewife, scholar</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The respondent's occupation (as defined by the list of occupations in Appendix D)</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V14" name="EMPSTAT" files="F1" intrvl="discrete">
  <labl>Status of employment</labl>
  <imputation>Status of employment</imputation>
  <security>Status of employment</security>
  <embargo>Status of employment</embargo>
  <respUnit>Status of employment</respUnit>
  <qstn>
    <qstnLit>H(2). Status of employment - state whether employee, employer (own business), worker for Own Account (not employing anyone), unemployed (looking for work), not working (not looking for work), etc</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Employer (own business), includes worker for own account (no employees) as well as unpaid family workers in business, profession or farming</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Employee</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Unemployed</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>No working (not looking for work- e.g. housewife, retired, scholar, chronic invalid, etc.)</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Foreign visitor (visitor from another country on temporary visit to S.A.)</labl>
  </catgry>
  <txt>The employment status of the respondent</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V15" name="EMPLOYER" files="F1" intrvl="discrete">
  <labl>Employer</labl>
  <imputation>Employer</imputation>
  <security>Employer</security>
  <embargo>Employer</embargo>
  <respUnit>Employer</respUnit>
  <qstn>
    <qstnLit>H(3). Name of employer - example: A.Jones and Co, Durban, Impala Gold Mining Co., Welkom, (Government, Railway, and Municipal employees)</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>Central Government</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Provincial Government</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Local Government</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Bantu authorities</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Public corporations: S.A.R. &amp; H., S.A.A. and Post Office</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Other public corporation</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Private businesses</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Non-profit insitutions which serve persons</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Private households</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Unemployed, not economically active and unspecified</labl>
  </catgry>
  <txt>The sector/institution of the respondent's employer</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V16" name="IND" files="F1" intrvl="contin">
  <labl>Industry</labl>
  <imputation>Industry</imputation>
  <security>Industry</security>
  <embargo>Industry</embargo>
  <respUnit>Industry</respUnit>
  <qstn>
    <qstnLit>H(4). Industry or profession - the kind of undertaking working in, example: cement factory, motor garage, gold mine, butchery, builders, domestic service, etc.</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The industry in which the respondent is employed (as defined by the list of occupations in Appendix E)</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V17" name="RELIGION" files="F1" intrvl="discrete">
  <labl>Religion</labl>
  <imputation>Religion</imputation>
  <security>Religion</security>
  <embargo>Religion</embargo>
  <respUnit>Religion</respUnit>
  <qstn>
    <qstnLit>I. Religion - State particular denomination</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Dutch Reformed Church</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Reformed Church in South Africa</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Dutch Reformed Church of Africa</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Church of the Province of South Africa</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Church of England in South Africa</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Church of England (so stated)</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Anglican (so stated)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Methodist Church of South Africa</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Presbyterian Church of South Africa</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>United Congregational Church of Southern Africa</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Lutheran Churches</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Roman Catholic</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Apostolic Faith Mission of South Africa</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Other Apostolic Churches</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Babtist</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Christian Scientist</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Church of Christ</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>Faith Healing</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>Full Gospel Church</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Greek Church</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Mormon (Latter Day Saints)</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Penticostal Church</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Plymouth Brethern</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Sabbatarians</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Salvation Army</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>Seventh Day Adventists</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>S.A. General Mission</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>Swiss Churches</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>Assemblies of God</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Bantu Christian Churches</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Other Christian Churches</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Jewish, Hebrew</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Buddist</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>Confucian</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>Hindu</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>Islam (Musselman, Moslem, Mohammedan)</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>Other Religions (Non-Christian)</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>Object</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>No Religion, No church (so stated)</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Unspecified</labl>
  </catgry>
  <txt>The respondent's religion</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V18" name="LITERACY" files="F1" intrvl="discrete">
  <labl>Literacy language</labl>
  <imputation>Literacy language</imputation>
  <security>Literacy language</security>
  <embargo>Literacy language</embargo>
  <respUnit>Literacy language</respUnit>
  <qstn>
    <qstnLit>J. Literacy in any language</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Read and write</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Read only</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Neither</labl>
  </catgry>
  <txt>The respondent's ability to read and write in any language</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V19" name="EDUC" files="F1" intrvl="discrete">
  <labl>Education school standard</labl>
  <imputation>Education school standard</imputation>
  <security>Education school standard</security>
  <embargo>Education school standard</embargo>
  <respUnit>Education school standard</respUnit>
  <qstn>
    <qstnLit>K(1) Level of education - state highest school standard passed</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>None</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Sub A</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Sub B</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Standard 1</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Standard 2</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Standard 3</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Standard 4</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Standard 5</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Standard 6-7</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Standard 8-9</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Standard 10 (Matric)</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Unspecified</labl>
  </catgry>
  <txt>Highest school level attained by the respondent</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V20" name="DEGREE" files="F1" intrvl="discrete">
  <labl>Education degree or diploma</labl>
  <imputation>Education degree or diploma</imputation>
  <security>Education degree or diploma</security>
  <embargo>Education degree or diploma</embargo>
  <respUnit>Education degree or diploma</respUnit>
  <qstn>
    <qstnLit>K(2) Level of education - state any degree (university), diploma or certificate obtained</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>None</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Diploma with std. 9 or lower</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Diploma with std. 10</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>B.A. Degree</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Other Bachelors degree</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Master's degree</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Doctor's degree</labl>
  </catgry>
  <txt>Highers post-school education level obtained by the respondent</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V21" name="LANGUAGE" files="F1" intrvl="discrete">
  <labl>Home language</labl>
  <imputation>Home language</imputation>
  <security>Home language</security>
  <embargo>Home language</embargo>
  <respUnit>Home language</respUnit>
  <qstn>
    <qstnLit>L. Languages able to speak</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>Xhosa</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Zulu</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Swazi</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Sepedi (N. Sotho)</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>North-Ndebele (Sumayela)</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>South-Ndebele (Khuluma)</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Tswana</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Seshoeshoe (S-Sotho)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Shangaan (Tsonga)</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Venda</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Other Bantu language</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Afrikaans</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>English</labl>
  </catgry>
  <txt>Respondent's home language</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V22" name="RURBAN" files="F1" intrvl="discrete">
  <labl>Urban/rural</labl>
  <imputation>Urban/rural</imputation>
  <security>Urban/rural</security>
  <embargo>Urban/rural</embargo>
  <respUnit>Urban/rural</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Rural</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Urban</labl>
    <catStat type="invd"/>
  </catgry>
  <txt>The type of area in which the respondent resides, that is, rural or urban</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V23" name="ENUMAREA" files="F2" intrvl="contin">
  <labl>Supervisors area of enumeration</labl>
  <imputation>Supervisors area of enumeration</imputation>
  <security>Supervisors area of enumeration</security>
  <embargo>Supervisors area of enumeration</embargo>
  <respUnit>Supervisors area of enumeration</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <varFormat type="numeric"/>
</var>
<var ID="V24" name="NNONFAM" files="F2" intrvl="contin">
  <labl>Inhabitants of dwelling: not member of family</labl>
  <imputation>Inhabitants of dwelling: not member of family</imputation>
  <security>Inhabitants of dwelling: not member of family</security>
  <embargo>Inhabitants of dwelling: not member of family</embargo>
  <respUnit>Inhabitants of dwelling: not member of family</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <varFormat type="numeric"/>
</var>
<var ID="V25" name="NMLLT10" files="F2" intrvl="contin">
  <labl>Inhabitants of dwelling: male under 10</labl>
  <imputation>Inhabitants of dwelling: male under 10</imputation>
  <security>Inhabitants of dwelling: male under 10</security>
  <embargo>Inhabitants of dwelling: male under 10</embargo>
  <respUnit>Inhabitants of dwelling: male under 10</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <varFormat type="numeric"/>
</var>
<var ID="V26" name="NFMLT10" files="F2" intrvl="contin">
  <labl>Inhabitants of dwelling: female under 10</labl>
  <imputation>Inhabitants of dwelling: female under 10</imputation>
  <security>Inhabitants of dwelling: female under 10</security>
  <embargo>Inhabitants of dwelling: female under 10</embargo>
  <respUnit>Inhabitants of dwelling: female under 10</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <varFormat type="numeric"/>
</var>
<var ID="V27" name="NML10UP" files="F2" intrvl="contin">
  <labl>Inhabitants of dwelling: male 10 and older</labl>
  <imputation>Inhabitants of dwelling: male 10 and older</imputation>
  <security>Inhabitants of dwelling: male 10 and older</security>
  <embargo>Inhabitants of dwelling: male 10 and older</embargo>
  <respUnit>Inhabitants of dwelling: male 10 and older</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <varFormat type="numeric"/>
</var>
<var ID="V28" name="NFM10UP" files="F2" intrvl="contin">
  <labl>Inhabitants of dwelling: female 10 and older</labl>
  <imputation>Inhabitants of dwelling: female 10 and older</imputation>
  <security>Inhabitants of dwelling: female 10 and older</security>
  <embargo>Inhabitants of dwelling: female 10 and older</embargo>
  <respUnit>Inhabitants of dwelling: female 10 and older</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <varFormat type="numeric"/>
</var>
<var ID="V29" name="NMALTOT" files="F2" intrvl="contin">
  <labl>Inhabitants of dwelling: male total</labl>
  <imputation>Inhabitants of dwelling: male total</imputation>
  <security>Inhabitants of dwelling: male total</security>
  <embargo>Inhabitants of dwelling: male total</embargo>
  <respUnit>Inhabitants of dwelling: male total</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <varFormat type="numeric"/>
</var>
<var ID="V30" name="NFEMTOT" files="F2" intrvl="contin">
  <labl>Inhabitants of dwelling: female total</labl>
  <imputation>Inhabitants of dwelling: female total</imputation>
  <security>Inhabitants of dwelling: female total</security>
  <embargo>Inhabitants of dwelling: female total</embargo>
  <respUnit>Inhabitants of dwelling: female total</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <varFormat type="numeric"/>
</var>
<var ID="V31" name="SUBDIST" files="F2" intrvl="contin">
  <labl>Sub-district</labl>
  <imputation>Sub-district</imputation>
  <security>Sub-district</security>
  <embargo>Sub-district</embargo>
  <respUnit>Sub-district</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <varFormat type="numeric"/>
</var>
<var ID="V32" name="OWNERPMT" files="F2" intrvl="contin">
  <labl>Ownership: monthly payments or rent</labl>
  <imputation>Ownership: monthly payments or rent</imputation>
  <security>Ownership: monthly payments or rent</security>
  <embargo>Ownership: monthly payments or rent</embargo>
  <respUnit>Ownership: monthly payments or rent</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>Ownership of the dwelling, whether fully or partly paid off, or rental of the dwelling (rent free, renting a furnished dwelling or renting an unfurnished dwelling).</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V33" name="PAYFULLT" files="F2" intrvl="contin">
  <labl>Pay: full time (RC)</labl>
  <imputation>Pay: full time (RC)</imputation>
  <security>Pay: full time (RC)</security>
  <embargo>Pay: full time (RC)</embargo>
  <respUnit>Pay: full time (RC)</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <varFormat type="numeric"/>
</var>
<var ID="V34" name="PAYPARTT" files="F2" intrvl="contin">
  <labl>Pay: part time (RC)</labl>
  <imputation>Pay: part time (RC)</imputation>
  <security>Pay: part time (RC)</security>
  <embargo>Pay: part time (RC)</embargo>
  <respUnit>Pay: part time (RC)</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <varFormat type="numeric"/>
</var>
<var ID="V35" name="PROVINCE" files="F2" intrvl="discrete">
  <labl>Province</labl>
  <imputation>Province</imputation>
  <security>Province</security>
  <embargo>Province</embargo>
  <respUnit>Province</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Cape Province</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Natal</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Transvaal</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Free State</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Basutu Ba Borwa</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Lebowa</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Matshangana</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Swazi</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Tswana</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Venda</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Xhosa - Ciskei</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Xhosa - Transkei</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Zulu</labl>
  </catgry>
  <varFormat type="numeric"/>
</var>
<var ID="V36" name="REGION" files="F2" intrvl="contin">
  <labl>Economical region</labl>
  <imputation>Economical region</imputation>
  <security>Economical region</security>
  <embargo>Economical region</embargo>
  <respUnit>Economical region</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <varFormat type="numeric"/>
</var>
<var ID="V37" name="PLACNAME" files="F2" intrvl="contin">
  <labl>Place name</labl>
  <imputation>Place name</imputation>
  <security>Place name</security>
  <embargo>Place name</embargo>
  <respUnit>Place name</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <varFormat type="numeric"/>
</var>
<var ID="V38" name="AREATYPE" files="F2" intrvl="discrete">
  <labl>Area type</labl>
  <imputation>Area type</imputation>
  <security>Area type</security>
  <embargo>Area type</embargo>
  <respUnit>Area type</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>White urban</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Bantu urban</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>White rural</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Bantu rural</labl>
  </catgry>
  <varFormat type="numeric"/>
</var>
<var ID="V39" name="METRARIA" files="F2" intrvl="discrete">
  <labl>Metropolitan area</labl>
  <imputation>Metropolitan area</imputation>
  <security>Metropolitan area</security>
  <embargo>Metropolitan area</embargo>
  <respUnit>Metropolitan area</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <varFormat type="numeric"/>
</var>
<var ID="V40" name="DWELTYPE" files="F2" intrvl="discrete">
  <labl>Type of dwelling</labl>
  <imputation>Type of dwelling</imputation>
  <security>Type of dwelling</security>
  <embargo>Type of dwelling</embargo>
  <respUnit>Type of dwelling</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>House</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Flat</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Licensed hotel</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Private hotel or boarding house</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Old-age home</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Hostel</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Other dwelling</labl>
  </catgry>
  <varFormat type="numeric"/>
</var>
<var ID="V41" name="RACEHOH" files="F2" intrvl="discrete">
  <labl>Race of head of household</labl>
  <imputation>Race of head of household</imputation>
  <security>Race of head of household</security>
  <embargo>Race of head of household</embargo>
  <respUnit>Race of head of household</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>White</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Coloured</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Asian</labl>
  </catgry>
  <varFormat type="numeric"/>
</var>
<var ID="V42" name="WALLS" files="F2" intrvl="discrete">
  <labl>Material of walls</labl>
  <imputation>Material of walls</imputation>
  <security>Material of walls</security>
  <embargo>Material of walls</embargo>
  <respUnit>Material of walls</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Bricks/cement bricks</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Stone/concrete</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Wood</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Asbestos-cement</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Not specified</labl>
  </catgry>
  <varFormat type="numeric"/>
</var>
<var ID="V43" name="ROOMSBED" files="F2" intrvl="discrete">
  <labl>Rooms in main building: bed</labl>
  <imputation>Rooms in main building: bed</imputation>
  <security>Rooms in main building: bed</security>
  <embargo>Rooms in main building: bed</embargo>
  <respUnit>Rooms in main building: bed</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <varFormat type="numeric"/>
</var>
<var ID="V44" name="ROOMSLIV" files="F2" intrvl="discrete">
  <labl>Rooms in main building: other living</labl>
  <imputation>Rooms in main building: other living</imputation>
  <security>Rooms in main building: other living</security>
  <embargo>Rooms in main building: other living</embargo>
  <respUnit>Rooms in main building: other living</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <varFormat type="numeric"/>
</var>
<var ID="V45" name="ROOMSKIT" files="F2" intrvl="discrete">
  <labl>Rooms in main building: kitchen</labl>
  <imputation>Rooms in main building: kitchen</imputation>
  <security>Rooms in main building: kitchen</security>
  <embargo>Rooms in main building: kitchen</embargo>
  <respUnit>Rooms in main building: kitchen</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <varFormat type="numeric"/>
</var>
<var ID="V46" name="ROOMSBTH" files="F2" intrvl="discrete">
  <labl>Rooms in main building: bath</labl>
  <imputation>Rooms in main building: bath</imputation>
  <security>Rooms in main building: bath</security>
  <embargo>Rooms in main building: bath</embargo>
  <respUnit>Rooms in main building: bath</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <varFormat type="numeric"/>
</var>
<var ID="V47" name="ROOMSOTH" files="F2" intrvl="discrete">
  <labl>Rooms in main building: other</labl>
  <imputation>Rooms in main building: other</imputation>
  <security>Rooms in main building: other</security>
  <embargo>Rooms in main building: other</embargo>
  <respUnit>Rooms in main building: other</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <varFormat type="numeric"/>
</var>
<var ID="V48" name="ROOMSOSV" files="F2" intrvl="discrete">
  <labl>Rooms outside: servant</labl>
  <imputation>Rooms outside: servant</imputation>
  <security>Rooms outside: servant</security>
  <embargo>Rooms outside: servant</embargo>
  <respUnit>Rooms outside: servant</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <varFormat type="numeric"/>
</var>
<var ID="V49" name="ROOMSONS" files="F2" intrvl="discrete">
  <labl>Rooms outside: not servant</labl>
  <imputation>Rooms outside: not servant</imputation>
  <security>Rooms outside: not servant</security>
  <embargo>Rooms outside: not servant</embargo>
  <respUnit>Rooms outside: not servant</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <varFormat type="numeric"/>
</var>
<var ID="V50" name="ROOMSOOT" files="F2" intrvl="discrete">
  <labl>Rooms outside: other (eg. Garage)</labl>
  <imputation>Rooms outside: other (eg. Garage)</imputation>
  <security>Rooms outside: other (eg. Garage)</security>
  <embargo>Rooms outside: other (eg. Garage)</embargo>
  <respUnit>Rooms outside: other (eg. Garage)</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <varFormat type="numeric"/>
</var>
<var ID="V51" name="AGEHOUSE" files="F2" intrvl="discrete">
  <labl>Age of house</labl>
  <imputation>Age of house</imputation>
  <security>Age of house</security>
  <embargo>Age of house</embargo>
  <respUnit>Age of house</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Built before 1900</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Built 1900-1919</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Built 1920-1939</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Built 1940-1949</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Built 1950-1959</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Built since 1960</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Unspecified</labl>
  </catgry>
  <txt>The date when the house was built</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V52" name="OWNEROCC" files="F2" intrvl="discrete">
  <labl>Ownership: occupation</labl>
  <imputation>Ownership: occupation</imputation>
  <security>Ownership: occupation</security>
  <embargo>Ownership: occupation</embargo>
  <respUnit>Ownership: occupation</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Fully paid off</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Partially paid off</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Occupied free</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Rented furnished</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Rented unfurnished</labl>
  </catgry>
  <txt>This refers to whether the dwelling is owned fully or partially paid off, or rented (furnished or unfurnished)</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V53" name="OWNEREMP" files="F2" intrvl="discrete">
  <labl>Ownership: employer</labl>
  <imputation>Ownership: employer</imputation>
  <security>Ownership: employer</security>
  <embargo>Ownership: employer</embargo>
  <respUnit>Ownership: employer</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>No</labl>
    <catStat type="invd"/>
  </catgry>
  <txt>Employee ownership of the dwelling</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V54" name="OWNERGOV" files="F2" intrvl="discrete">
  <labl>Ownership: government</labl>
  <imputation>Ownership: government</imputation>
  <security>Ownership: government</security>
  <embargo>Ownership: government</embargo>
  <respUnit>Ownership: government</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>No</labl>
    <catStat type="invd"/>
  </catgry>
  <txt>Government ownership of the dwelling</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V55" name="NFAMLIES" files="F2" intrvl="discrete">
  <labl>Inhabitants of dwelling: families</labl>
  <imputation>Inhabitants of dwelling: families</imputation>
  <security>Inhabitants of dwelling: families</security>
  <embargo>Inhabitants of dwelling: families</embargo>
  <respUnit>Inhabitants of dwelling: families</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>Number of famillies occupying the dwelling</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V56" name="NFTSVMW" files="F2" intrvl="discrete">
  <labl>Servants full time: male White</labl>
  <imputation>Servants full time: male White</imputation>
  <security>Servants full time: male White</security>
  <embargo>Servants full time: male White</embargo>
  <respUnit>Servants full time: male White</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The number of "White" male servants the household employs on a full-time basis</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V57" name="NFTSVMC" files="F2" intrvl="discrete">
  <labl>Servants full time: male Coloured</labl>
  <imputation>Servants full time: male Coloured</imputation>
  <security>Servants full time: male Coloured</security>
  <embargo>Servants full time: male Coloured</embargo>
  <respUnit>Servants full time: male Coloured</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The number of "Coloured" male servants the household employs on a full-time basis</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V58" name="NFTSVMA" files="F2" intrvl="discrete">
  <labl>Servants full time: male Asian</labl>
  <imputation>Servants full time: male Asian</imputation>
  <security>Servants full time: male Asian</security>
  <embargo>Servants full time: male Asian</embargo>
  <respUnit>Servants full time: male Asian</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The number of Asian male servants the household employs on a full-time basis</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V59" name="NFTSVMB" files="F2" intrvl="discrete">
  <labl>Servants full time: male Black</labl>
  <imputation>Servants full time: male Black</imputation>
  <security>Servants full time: male Black</security>
  <embargo>Servants full time: male Black</embargo>
  <respUnit>Servants full time: male Black</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The number of "Black" (African)  male servants the household employs on a full-time basis</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V60" name="NFTSVM" files="F2" intrvl="discrete">
  <labl>Servants full time: male total</labl>
  <imputation>Servants full time: male total</imputation>
  <security>Servants full time: male total</security>
  <embargo>Servants full time: male total</embargo>
  <respUnit>Servants full time: male total</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The total number of male servants the household employs on a full-time basis</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V61" name="NFTSVFW" files="F2" intrvl="discrete">
  <labl>Servants full time: female White</labl>
  <imputation>Servants full time: female White</imputation>
  <security>Servants full time: female White</security>
  <embargo>Servants full time: female White</embargo>
  <respUnit>Servants full time: female White</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The number of "White" female servants the household employs on a full-time basis</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V62" name="NFTSVFC" files="F2" intrvl="discrete">
  <labl>Servants full time: female Coloured</labl>
  <imputation>Servants full time: female Coloured</imputation>
  <security>Servants full time: female Coloured</security>
  <embargo>Servants full time: female Coloured</embargo>
  <respUnit>Servants full time: female Coloured</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The number of "Coloured" female servants the household employs on a full-time basis</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V63" name="NFTSVFA" files="F2" intrvl="discrete">
  <labl>Servants full time: female Asian</labl>
  <imputation>Servants full time: female Asian</imputation>
  <security>Servants full time: female Asian</security>
  <embargo>Servants full time: female Asian</embargo>
  <respUnit>Servants full time: female Asian</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The number of Asian female servants the household employs on a full-time basis</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V64" name="NFTSVFB" files="F2" intrvl="discrete">
  <labl>Servants full time: female Black</labl>
  <imputation>Servants full time: female Black</imputation>
  <security>Servants full time: female Black</security>
  <embargo>Servants full time: female Black</embargo>
  <respUnit>Servants full time: female Black</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The number of "Black" (African) female servants the household employs on a full-time basis</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V65" name="NFTSVF" files="F2" intrvl="discrete">
  <labl>Servants full time: female total</labl>
  <imputation>Servants full time: female total</imputation>
  <security>Servants full time: female total</security>
  <embargo>Servants full time: female total</embargo>
  <respUnit>Servants full time: female total</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The total number of female servants the household employs on a full-time basis</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V66" name="NPTSVMW" files="F2" intrvl="discrete">
  <labl>Servants part time: male White</labl>
  <imputation>Servants part time: male White</imputation>
  <security>Servants part time: male White</security>
  <embargo>Servants part time: male White</embargo>
  <respUnit>Servants part time: male White</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The number of "White" male servants the household employs on a part-time basis</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V67" name="NPTSVMC" files="F2" intrvl="discrete">
  <labl>Servants part time: male Coloured</labl>
  <imputation>Servants part time: male Coloured</imputation>
  <security>Servants part time: male Coloured</security>
  <embargo>Servants part time: male Coloured</embargo>
  <respUnit>Servants part time: male Coloured</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The number of "Coloured" male servants the household employs on a part-time basis</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V68" name="NPTSVMA" files="F2" intrvl="discrete">
  <labl>Servants part time: male Asian</labl>
  <imputation>Servants part time: male Asian</imputation>
  <security>Servants part time: male Asian</security>
  <embargo>Servants part time: male Asian</embargo>
  <respUnit>Servants part time: male Asian</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The number of Asian male servants the household employs on a part-time basis</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V69" name="NPTSVMB" files="F2" intrvl="discrete">
  <labl>Servants part time: male Black</labl>
  <imputation>Servants part time: male Black</imputation>
  <security>Servants part time: male Black</security>
  <embargo>Servants part time: male Black</embargo>
  <respUnit>Servants part time: male Black</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The number of "Black" (African) male servants the household employs on a part-time basis</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V70" name="NPTSVM" files="F2" intrvl="discrete">
  <labl>Servants part time: male total</labl>
  <imputation>Servants part time: male total</imputation>
  <security>Servants part time: male total</security>
  <embargo>Servants part time: male total</embargo>
  <respUnit>Servants part time: male total</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The total number of male servants the household employs on a part-time basis</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V71" name="NPTSVFW" files="F2" intrvl="discrete">
  <labl>Servants part time: female White</labl>
  <imputation>Servants part time: female White</imputation>
  <security>Servants part time: female White</security>
  <embargo>Servants part time: female White</embargo>
  <respUnit>Servants part time: female White</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The number of "White" female servants the household employs on a part-time basis</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V72" name="NPTSVFC" files="F2" intrvl="discrete">
  <labl>Servants part time: female Coloured</labl>
  <imputation>Servants part time: female Coloured</imputation>
  <security>Servants part time: female Coloured</security>
  <embargo>Servants part time: female Coloured</embargo>
  <respUnit>Servants part time: female Coloured</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The number of "Coloured" female servants the household employs on a part-time basis</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V73" name="NPTSVFA" files="F2" intrvl="discrete">
  <labl>Servants part time: female Asian</labl>
  <imputation>Servants part time: female Asian</imputation>
  <security>Servants part time: female Asian</security>
  <embargo>Servants part time: female Asian</embargo>
  <respUnit>Servants part time: female Asian</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The number of Asian female servants the household employs on a part-time basis</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V74" name="NPTSVFB" files="F2" intrvl="discrete">
  <labl>Servants part time: female Black</labl>
  <imputation>Servants part time: female Black</imputation>
  <security>Servants part time: female Black</security>
  <embargo>Servants part time: female Black</embargo>
  <respUnit>Servants part time: female Black</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The number of "Black" (African) female servants the household employs on a part-time basis</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V75" name="NPTSVF" files="F2" intrvl="discrete">
  <labl>Servants part time: female total</labl>
  <imputation>Servants part time: female total</imputation>
  <security>Servants part time: female total</security>
  <embargo>Servants part time: female total</embargo>
  <respUnit>Servants part time: female total</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The total number of female servants the household employs on a part-time basis</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V76" name="ONPREMW" files="F2" intrvl="discrete">
  <labl>On premises: White</labl>
  <imputation>On premises: White</imputation>
  <security>On premises: White</security>
  <embargo>On premises: White</embargo>
  <respUnit>On premises: White</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The number of "White" servants in the dwelling on the census night</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V77" name="ONPREMC" files="F2" intrvl="discrete">
  <labl>On premises: Coloured</labl>
  <imputation>On premises: Coloured</imputation>
  <security>On premises: Coloured</security>
  <embargo>On premises: Coloured</embargo>
  <respUnit>On premises: Coloured</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The number of "Coloured" servants in the dwelling on the census night</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V78" name="ONPREMA" files="F2" intrvl="discrete">
  <labl>On premises: Asian</labl>
  <imputation>On premises: Asian</imputation>
  <security>On premises: Asian</security>
  <embargo>On premises: Asian</embargo>
  <respUnit>On premises: Asian</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The number of Asian servants in the dwelling on the census night</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V79" name="ONPREMB" files="F2" intrvl="discrete">
  <labl>On premises: Black</labl>
  <imputation>On premises: Black</imputation>
  <security>On premises: Black</security>
  <embargo>On premises: Black</embargo>
  <respUnit>On premises: Black</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The number of "Black" (African) servants in the dwelling on the census night</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V80" name="ENUMAREA" files="F3" intrvl="contin">
  <labl>Supervisor area of enumeration</labl>
  <imputation>Supervisor area of enumeration</imputation>
  <security>Supervisor area of enumeration</security>
  <embargo>Supervisor area of enumeration</embargo>
  <respUnit>Supervisor area of enumeration</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>Enumeration area in which the household resides</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V81" name="SUBDIST" files="F3" intrvl="contin">
  <labl>Subdistrict</labl>
  <imputation>Subdistrict</imputation>
  <security>Subdistrict</security>
  <embargo>Subdistrict</embargo>
  <respUnit>Subdistrict</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>Sub-district in which the household resides</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V82" name="FORMNO" files="F3" intrvl="contin">
  <labl>Form number</labl>
  <imputation>Form number</imputation>
  <security>Form number</security>
  <embargo>Form number</embargo>
  <respUnit>Form number</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <varFormat type="numeric"/>
</var>
<var ID="V83" name="PROVINCE" files="F3" intrvl="discrete">
  <labl>Province or homeland</labl>
  <imputation>Province or homeland</imputation>
  <security>Province or homeland</security>
  <embargo>Province or homeland</embargo>
  <respUnit>Province or homeland</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Cape Province</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Natal</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Transvaal</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Free State</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Basutu Ba Borwa</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Lebowa</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Matshangana</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Swazi</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Tswana</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Venda</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Xhosa - Ciskei</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Xhosa - Transkei</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Zulu</labl>
  </catgry>
  <txt>Province or "Homeland' in which the household resides</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V84" name="REGION" files="F3" intrvl="contin">
  <labl>Economic region</labl>
  <imputation>Economic region</imputation>
  <security>Economic region</security>
  <embargo>Economic region</embargo>
  <respUnit>Economic region</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>Economic region in which the household resides</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V85" name="AREATYPE" files="F3" intrvl="discrete">
  <labl>Area type</labl>
  <imputation>Area type</imputation>
  <security>Area type</security>
  <embargo>Area type</embargo>
  <respUnit>Area type</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>White urban</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Bantu urban</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>White rural</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Bantu rural</labl>
  </catgry>
  <txt>This indicates whether the household resides in a rural or urban area (and in a "White" or "Bantu" area)</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V86" name="COLNO" files="F3" intrvl="discrete">
  <labl>Column</labl>
  <imputation>Column</imputation>
  <security>Column</security>
  <embargo>Column</embargo>
  <respUnit>Column</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <varFormat type="numeric"/>
</var>
<var ID="V87" name="POPGRP" files="F3" intrvl="discrete">
  <labl>Race</labl>
  <imputation>Race</imputation>
  <security>Race</security>
  <embargo>Race</embargo>
  <respUnit>Race</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>4</catValu>
    <labl>South African Blacks</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Foreign Blacks</labl>
    <catStat type="invd"/>
  </catgry>
  <txt>This variable specifies whether the "Black" respondent is South African or foreign (from the Codelist for "Bantus" 02 and 08)</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V88" name="SEX" files="F3" intrvl="discrete">
  <labl>Sex</labl>
  <imputation>Sex</imputation>
  <security>Sex</security>
  <embargo>Sex</embargo>
  <respUnit>Sex</respUnit>
  <qstn>
    <qstnLit>C. Sex</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
    <catStat type="invd"/>
  </catgry>
  <txt>Gender of the respondent</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V89" name="AGE" files="F3" intrvl="contin">
  <labl>Age</labl>
  <imputation>Age</imputation>
  <security>Age</security>
  <embargo>Age</embargo>
  <respUnit>Age</respUnit>
  <qstn>
    <qstnLit>D. Age</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>Age of the respondent</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V90" name="MARSTAT" files="F3" intrvl="discrete">
  <labl>Marital status</labl>
  <imputation>Marital status</imputation>
  <security>Marital status</security>
  <embargo>Marital status</embargo>
  <respUnit>Marital status</respUnit>
  <qstn>
    <qstnLit>E. Marital status</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Never married</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Married</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Widowed</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Divorced</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Living together; not married</labl>
  </catgry>
  <txt>Marital status of the respondent</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V91" name="POB" files="F3" intrvl="discrete">
  <labl>Place of birth</labl>
  <imputation>Place of birth</imputation>
  <security>Place of birth</security>
  <embargo>Place of birth</embargo>
  <respUnit>Place of birth</respUnit>
  <qstn>
    <qstnLit>G. Birthplace - If born in the Republic of South Africa, state magesterial district of birth. If born outside the Republic of South Africa, state country only.</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>South Africa</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>South West Africa (Namibia)</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Rhodesia (Zimbabwe)</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Malawi</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Lesotho</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Swaziland</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Botswana</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Tanzania</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Mozambique</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Angola</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Unspecified</labl>
  </catgry>
  <txt>The "Black" respondent's birthplace (from codelist 02 and 08)</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V92" name="OCC" files="F3" intrvl="contin">
  <labl>Occupation</labl>
  <imputation>Occupation</imputation>
  <security>Occupation</security>
  <embargo>Occupation</embargo>
  <respUnit>Occupation</respUnit>
  <qstn>
    <qstnLit>H(1). Present occupation (kind of work done) - example: lorry driver, teacher, domestic servant, policeman, housewife, scholar</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>Occupation of the respondent (from codelist 02 and 08)</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V93" name="EMPSTAT" files="F3" intrvl="discrete">
  <labl>Status of employment</labl>
  <imputation>Status of employment</imputation>
  <security>Status of employment</security>
  <embargo>Status of employment</embargo>
  <respUnit>Status of employment</respUnit>
  <qstn>
    <qstnLit>H(2). Status of employment - state whether employee, employer (own business), worker for Own Account (not employing anyone), unemployed (looking for work), not working (not looking for work), etc</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Employer (own business), includes worker for own account (no employees) as well as unpaid family workers in business, profession or farming</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Employee</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Unemployed</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>No working (not looking for work- e.g. housewife, retired, scholar, chronic invalid, etc.)</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Foreign visitor (visitor from another country on temporary visit to S.A.)</labl>
  </catgry>
  <txt>Employment status of the respondent (from codelist 02 and 08)</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V94" name="EMPLOYER" files="F3" intrvl="discrete">
  <labl>Employer</labl>
  <imputation>Employer</imputation>
  <security>Employer</security>
  <embargo>Employer</embargo>
  <respUnit>Employer</respUnit>
  <qstn>
    <qstnLit>H(3). Name of employer - example: A.Jones and Co, Durban, Impala Gold Mining Co., Welkom, (Government, Railway, and Municipal employees)</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>Central Government</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Provincial Government</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Local Government</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Bantu authorities</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Public corporations: S.A.R. &amp; H., S.A.A. and Post Office</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Other public corporation</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Private businesses</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Non-profit insitutions which serve persons</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Private households</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Unemployed, not economically active and unspecified</labl>
  </catgry>
  <txt>Employer of the respondent</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V95" name="IND" files="F3" intrvl="contin">
  <labl>Industry</labl>
  <imputation>Industry</imputation>
  <security>Industry</security>
  <embargo>Industry</embargo>
  <respUnit>Industry</respUnit>
  <qstn>
    <qstnLit>H(4). Industry or profession - the kind of undertaking working in, example: cement factory, motor garage, gold mine, butchery, builders, domestic service, etc.</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>Industry in which the respondent is employed</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V96" name="RELIGION" files="F3" intrvl="discrete">
  <labl>Religion</labl>
  <imputation>Religion</imputation>
  <security>Religion</security>
  <embargo>Religion</embargo>
  <respUnit>Religion</respUnit>
  <qstn>
    <qstnLit>I. Religion - State particular denomination</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Dutch Reformed Church</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Reformed Church in South Africa</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Dutch Reformed Church of Africa</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Church of the Province of South Africa</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Church of England in South Africa</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Church of England (so stated)</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Anglican (so stated)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Methodist Church of South Africa</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Presbyterian Church of South Africa</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>United Congregational Church of Southern Africa</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Lutheran Churches</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Roman Catholic</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Apostolic Faith Mission of South Africa</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Other Apostolic Churches</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Babtist</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Christian Scientist</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Church of Christ</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>Faith Healing</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>Full Gospel Church</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Greek Church</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Mormon (Latter Day Saints)</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Penticostal Church</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Plymouth Brethern</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Sabbatarians</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Salvation Army</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>Seventh Day Adventists</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>S.A. General Mission</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>Swiss Churches</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>Assemblies of God</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Bantu Christian Churches</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Other Christian Churches</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Jewish, Hebrew</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Buddist</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>Confucian</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>Hindu</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>Islam (Musselman, Moslem, Mohammedan)</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>Other Religions (Non-Christian)</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>Object</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>No Religion, No church (so stated)</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Unspecified</labl>
  </catgry>
  <txt>The respondent's religious affiliation</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V97" name="LITERACY" files="F3" intrvl="discrete">
  <labl>Literacy language</labl>
  <imputation>Literacy language</imputation>
  <security>Literacy language</security>
  <embargo>Literacy language</embargo>
  <respUnit>Literacy language</respUnit>
  <qstn>
    <qstnLit>J. Literacy in any language</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Read and write</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Read only</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Neither</labl>
  </catgry>
  <txt>The respondent's ability to read or write in any language</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V98" name="EDUC" files="F3" intrvl="discrete">
  <labl>Education school standard</labl>
  <imputation>Education school standard</imputation>
  <security>Education school standard</security>
  <embargo>Education school standard</embargo>
  <respUnit>Education school standard</respUnit>
  <qstn>
    <qstnLit>K(1) Level of education - state highest school standard passed</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>None</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Sub A</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Sub B</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Standard 1</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Standard 2</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Standard 3</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Standard 4</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Standard 5</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Standard 6-7</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Standard 8-9</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Standard 10 (Matric)</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Unspecified</labl>
  </catgry>
  <txt>The highest school standard attained by the respondent</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V99" name="DEGREE" files="F3" intrvl="discrete">
  <labl>Education degree or diploma</labl>
  <imputation>Education degree or diploma</imputation>
  <security>Education degree or diploma</security>
  <embargo>Education degree or diploma</embargo>
  <respUnit>Education degree or diploma</respUnit>
  <qstn>
    <qstnLit>K(2) Level of education - state any degree (university), diploma or certificate obtained</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>None</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Diploma with std. 9 or lower</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Diploma with std. 10</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>B.A. Degree</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Other Bachelors degree</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Master's degree</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Doctor's degree</labl>
  </catgry>
  <txt>The highest level of post-school education obtained by the respondent</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V100" name="LANGUAGE" files="F3" intrvl="discrete">
  <labl>Home language</labl>
  <imputation>Home language</imputation>
  <security>Home language</security>
  <embargo>Home language</embargo>
  <respUnit>Home language</respUnit>
  <qstn>
    <qstnLit>L. Languages able to speak</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>Xhosa</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Zulu</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Swazi</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Sepedi (N. Sotho)</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>North-Ndebele (Sumayela)</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>South-Ndebele (Khuluma)</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Tswana</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Seshoeshoe (S-Sotho)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Shangaan (Tsonga)</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Venda</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Other Bantu language</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Afrikaans</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>English</labl>
  </catgry>
  <txt>Respondent's home language</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V101" name="RURBAN" files="F3" intrvl="discrete">
  <labl>Urban/rural</labl>
  <imputation>Urban/rural</imputation>
  <security>Urban/rural</security>
  <embargo>Urban/rural</embargo>
  <respUnit>Urban/rural</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Rural</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Urban</labl>
    <catStat type="invd"/>
  </catgry>
  <txt>This variable describes whether the respondent resides in an urban or rural area of South Africa</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V102" name="ENUMAREA" files="F4" intrvl="contin">
  <labl>Supervisors Area of Enumeration (de fact</labl>
  <imputation>Supervisors Area of Enumeration (de fact</imputation>
  <security>Supervisors Area of Enumeration (de fact</security>
  <embargo>Supervisors Area of Enumeration (de fact</embargo>
  <respUnit>Supervisors Area of Enumeration (de fact</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This is the code of the enumeration area in which the respondent resides</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V103" name="DJENUMAR" files="F4" intrvl="contin">
  <labl>Supervisors Area of Enumeration (de jure</labl>
  <imputation>Supervisors Area of Enumeration (de jure</imputation>
  <security>Supervisors Area of Enumeration (de jure</security>
  <embargo>Supervisors Area of Enumeration (de jure</embargo>
  <respUnit>Supervisors Area of Enumeration (de jure</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This is the code of the enumeration area in which the respondent resides</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V104" name="OCC" files="F4" intrvl="contin">
  <labl>Occupation</labl>
  <imputation>Occupation</imputation>
  <security>Occupation</security>
  <embargo>Occupation</embargo>
  <respUnit>Occupation</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The code for the respondent's occupation (from the standard code list)</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V105" name="IND" files="F4" intrvl="contin">
  <labl>Industry</labl>
  <imputation>Industry</imputation>
  <security>Industry</security>
  <embargo>Industry</embargo>
  <respUnit>Industry</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The code for the respondent's occupation (from the standard code list)</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V106" name="PLACNAME" files="F4" intrvl="contin">
  <labl>Place Name (de facto)</labl>
  <imputation>Place Name (de facto)</imputation>
  <security>Place Name (de facto)</security>
  <embargo>Place Name (de facto)</embargo>
  <respUnit>Place Name (de facto)</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>Placename code of the area in which the respondent resides</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V107" name="SUBDIST" files="F4" intrvl="contin">
  <labl>Subdistrict (de facto)</labl>
  <imputation>Subdistrict (de facto)</imputation>
  <security>Subdistrict (de facto)</security>
  <embargo>Subdistrict (de facto)</embargo>
  <respUnit>Subdistrict (de facto)</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>Code for the Subdistrict in which the respondent resides</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V108" name="DJPLACNM" files="F4" intrvl="contin">
  <labl>Place Name (de jure)</labl>
  <imputation>Place Name (de jure)</imputation>
  <security>Place Name (de jure)</security>
  <embargo>Place Name (de jure)</embargo>
  <respUnit>Place Name (de jure)</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The code for the de jure place where the respondent resides</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V109" name="PROVINCE" files="F4" intrvl="discrete">
  <labl>Province/Homeland (de facto)</labl>
  <imputation>Province/Homeland (de facto)</imputation>
  <security>Province/Homeland (de facto)</security>
  <embargo>Province/Homeland (de facto)</embargo>
  <respUnit>Province/Homeland (de facto)</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Cape Province</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Natal</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Transvaal</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Free State</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Basutu Ba Borwa</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Lebowa</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Matshangana</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Swazi</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Tswana</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Venda</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Xhosa - Ciskei</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Xhosa - Transkei</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Zulu</labl>
  </catgry>
  <txt>The province or "Homeland" in which the respondent resides</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V110" name="REGION" files="F4" intrvl="contin">
  <labl>Economical Region (de facto)</labl>
  <imputation>Economical Region (de facto)</imputation>
  <security>Economical Region (de facto)</security>
  <embargo>Economical Region (de facto)</embargo>
  <respUnit>Economical Region (de facto)</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable is the codelist of economic region in which the respondent resides</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V111" name="AREATYPE" files="F4" intrvl="discrete">
  <labl>Area Type (de facto)</labl>
  <imputation>Area Type (de facto)</imputation>
  <security>Area Type (de facto)</security>
  <embargo>Area Type (de facto)</embargo>
  <respUnit>Area Type (de facto)</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>White urban</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Bantu urban</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>White rural</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Bantu rural</labl>
  </catgry>
  <txt>This variable describes if the respondent resides in a rural or urban area of South Africa (and also defines if this is a "White" area or a "Bantu" area)</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V112" name="METRAREA" files="F4" intrvl="discrete">
  <labl>Metropolitan Area (de facto)</labl>
  <imputation>Metropolitan Area (de facto)</imputation>
  <security>Metropolitan Area (de facto)</security>
  <embargo>Metropolitan Area (de facto)</embargo>
  <respUnit>Metropolitan Area (de facto)</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This is the code for the Metropolitan area in which the respondent resides</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V113" name="DWELTYPE" files="F4" intrvl="discrete">
  <labl>Type of Dwelling (de facto)</labl>
  <imputation>Type of Dwelling (de facto)</imputation>
  <security>Type of Dwelling (de facto)</security>
  <embargo>Type of Dwelling (de facto)</embargo>
  <respUnit>Type of Dwelling (de facto)</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>House</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Flat</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Licensed Hotel</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Private hotel or boarding house</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Old-age home</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Hostel</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Other dwelling</labl>
  </catgry>
  <txt>The type of dwelling in which the respondent resides</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V114" name="COLNO" files="F4" intrvl="discrete">
  <labl>Column Number</labl>
  <imputation>Column Number</imputation>
  <security>Column Number</security>
  <embargo>Column Number</embargo>
  <respUnit>Column Number</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <varFormat type="numeric"/>
</var>
<var ID="V115" name="POPGRP" files="F4" intrvl="discrete">
  <labl>Race</labl>
  <imputation>Race</imputation>
  <security>Race</security>
  <embargo>Race</embargo>
  <respUnit>Race</respUnit>
  <qstn>
    <qstnLit>C. Race - State whether White, Coloured, Malay, Griqua, Chinese, Indian, Pakistani, etc.</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>White</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Coloured</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Malay</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Griqua</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Other Coloured</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Indian, Pakistani</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Chinese</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Other Asian</labl>
  </catgry>
  <txt>The respondent's population group</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V116" name="SEX" files="F4" intrvl="discrete">
  <labl>Sex</labl>
  <imputation>Sex</imputation>
  <security>Sex</security>
  <embargo>Sex</embargo>
  <respUnit>Sex</respUnit>
  <qstn>
    <qstnLit>D. Sex</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
    <catStat type="invd"/>
  </catgry>
  <txt>The respondent's gender</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V117" name="AGE" files="F4" intrvl="contin">
  <labl>Age</labl>
  <imputation>Age</imputation>
  <security>Age</security>
  <embargo>Age</embargo>
  <respUnit>Age</respUnit>
  <qstn>
    <qstnLit>E. Age- age in years of each person at last birthday. (For children under one year old, write "0")</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The respondent's age</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V118" name="MARSTAT" files="F4" intrvl="discrete">
  <labl>Marital Status</labl>
  <imputation>Marital Status</imputation>
  <security>Marital Status</security>
  <embargo>Marital Status</embargo>
  <respUnit>Marital Status</respUnit>
  <qstn>
    <qstnLit>F. Marital status. If two persons are living as husband and wife without being legally married, mark space 5 with a cross</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Never married</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Married</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Widowed</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Divorced</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Living together; not married</labl>
  </catgry>
  <txt>The respondent's marital status</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V119" name="POB" files="F4" intrvl="discrete">
  <labl>Birthplace</labl>
  <imputation>Birthplace</imputation>
  <security>Birthplace</security>
  <embargo>Birthplace</embargo>
  <respUnit>Birthplace</respUnit>
  <qstn>
    <qstnLit>G. Birthplace - If born in the Republic of South Africa, state magesterial district of birth. If born outside the Republic of South Africa, state country only.</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>South Africa</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>South West Africa (Namibia)</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Lesotho</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Botswana</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Swaziland</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Algeria</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Angola</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Egypt</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Ghana</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Kenya</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Congo - so shown</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Congo (Brazzaville)</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Congo (Leopoldville)</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Madeira</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Madagascar (Malagasy)</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Malawi</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Mauritius</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>Mozambique</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>Uganda</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Zimbabwe</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>St Helena</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Tanzania</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Zambia</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Other in Africa</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Albania</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>Belgium</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>Bulgaria</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>Denmark</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>Germany-West (Federal Republic)</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Germany-East</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Estonia</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Finland</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>France</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>Gibraltar</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>Greece</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>Hungary</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>Ireland, Republic</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>Italy</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>Yugoslavia</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Latvia</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Lithuania</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Malta</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>Netherlands</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>Norway</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>Austria</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>Poland</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>Portugal</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>Romania</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>Spain</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Sweden</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Switzerland</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Czechoslovakia</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>United Kingdom - so shown</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>England and Wales</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>Scotland</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>Northern Ireland</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>Russia (USSR)</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>Other in Europe</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>Burma</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Ceylon</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Cyprus</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>India</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>Indonesia</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>Israel</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>Japan</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>Lebanon</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>Malaysia-Singapore</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>Pakistan</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>Syria</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>China</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>Turkey</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>Other in Asia</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>Argentina</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>Brazil</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>Canada</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>Mexico</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>United States of America</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>Other in America</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>Australia</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>New Zealand</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>Other in Oceania</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>Stateless and Unknown</labl>
  </catgry>
  <txt>The place where the respondent was born</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V120" name="CITIZEN" files="F4" intrvl="discrete">
  <labl>Nationality of Citizenship</labl>
  <imputation>Nationality of Citizenship</imputation>
  <security>Nationality of Citizenship</security>
  <embargo>Nationality of Citizenship</embargo>
  <respUnit>Nationality of Citizenship</respUnit>
  <qstn>
    <qstnLit>H. Present nationality or citizenship. If a citizen of the Republic of South Africa (including South-West Africa), mark space "RSA". If not a citizen of the R.S.A., state the country of which you are a citizen under "Other'</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>South Africa</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>South West Africa (Namibia)</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Lesotho</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Botswana</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Swaziland</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Algeria</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Angola</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Egypt</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Ghana</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Kenya</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Congo - so shown</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Congo (Brazzaville)</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Congo (Leopoldville)</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Madeira</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Madagascar (Malagasy)</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Malawi</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Mauritius</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>Mozambique</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>Uganda</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Zimbabwe</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>St Helena</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Tanzania</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Zambia</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Other in Africa</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Albania</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>Belgium</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>Bulgaria</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>Denmark</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>Germany-West (Federal Republic)</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Germany-East</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Estonia</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Finland</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>France</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>Gibraltar</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>Greece</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>Hungary</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>Ireland, Republic</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>Italy</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>Yugoslavia</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Latvia</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Lithuania</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Malta</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>Netherlands</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>Norway</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>Austria</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>Poland</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>Portugal</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>Romania</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>Spain</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Sweden</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Switzerland</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Czechoslovakia</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>United Kingdom - so shown</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>England and Wales</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>Scotland</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>Northern Ireland</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>Russia (USSR)</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>Other in Europe</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>Burma</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Ceylon</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Cyprus</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>India</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>Indonesia</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>Israel</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>Japan</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>Lebanon</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>Malaysia-Singapore</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>Pakistan</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>Syria</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>China</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>Turkey</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>Other in Asia</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>Argentina</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>Brazil</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>Canada</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>Mexico</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>United States of America</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>Other in America</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>Australia</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>New Zealand</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>Other in Oceania</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>Stateless and Unknown</labl>
  </catgry>
  <txt>The respondent's nationality</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V121" name="DJPROVNC" files="F4" intrvl="discrete">
  <labl>Province/Homeland (de jure)</labl>
  <imputation>Province/Homeland (de jure)</imputation>
  <security>Province/Homeland (de jure)</security>
  <embargo>Province/Homeland (de jure)</embargo>
  <respUnit>Province/Homeland (de jure)</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The province or "Homeland" in which the respondent resides</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V122" name="DJREGION" files="F4" intrvl="contin">
  <labl>Economical Region (de jure)</labl>
  <imputation>Economical Region (de jure)</imputation>
  <security>Economical Region (de jure)</security>
  <embargo>Economical Region (de jure)</embargo>
  <respUnit>Economical Region (de jure)</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable is the codelist of economic region in which the respondent resides</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V123" name="DJAREATP" files="F4" intrvl="discrete">
  <labl>Area Type (de jure)</labl>
  <imputation>Area Type (de jure)</imputation>
  <security>Area Type (de jure)</security>
  <embargo>Area Type (de jure)</embargo>
  <respUnit>Area Type (de jure)</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>White urban</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Bantu urban</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>White rural</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Bantu rural</labl>
  </catgry>
  <txt>This variable describes if the respondent resides in a rural or urban area of South Africa (and also defines if this is a "White" area or a "Bantu" area)</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V124" name="DJMETRAR" files="F4" intrvl="discrete">
  <labl>Metropolitan Area (de jure)</labl>
  <imputation>Metropolitan Area (de jure)</imputation>
  <security>Metropolitan Area (de jure)</security>
  <embargo>Metropolitan Area (de jure)</embargo>
  <respUnit>Metropolitan Area (de jure)</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This is the code for the Metropolitan area in which the respondent resides</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V125" name="DJDWELTP" files="F4" intrvl="discrete">
  <labl>Type of Dwelling (de jure)</labl>
  <imputation>Type of Dwelling (de jure)</imputation>
  <security>Type of Dwelling (de jure)</security>
  <embargo>Type of Dwelling (de jure)</embargo>
  <respUnit>Type of Dwelling (de jure)</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>House</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Flat</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Licensed Hotel</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Private hotel or boarding house</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Old-age home</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Hostel</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Other dwelling</labl>
  </catgry>
  <txt>The type of dwelling in which the respondent resides</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V126" name="COUNTRY" files="F4" intrvl="discrete">
  <labl>Usual Residence-Country</labl>
  <imputation>Usual Residence-Country</imputation>
  <security>Usual Residence-Country</security>
  <embargo>Usual Residence-Country</embargo>
  <respUnit>Usual Residence-Country</respUnit>
  <qstn>
    <qstnLit>I. Usual place of residence - For persons who usually live in this dwelling.</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>South West Africa</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Rhodesia</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Malawi</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Zambia</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Mozambique</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Other countries in Africa</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>United Kingdom and Ireland</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Other countries in Europe</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Asia</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>America- North and South</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Oceania</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Unspecified</labl>
  </catgry>
  <txt>The respondent's country of usual residence (not defined in the questionnaire and codebook)</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V127" name="LANGUAGE" files="F4" intrvl="discrete">
  <labl>Home Language</labl>
  <imputation>Home Language</imputation>
  <security>Home Language</security>
  <embargo>Home Language</embargo>
  <respUnit>Home Language</respUnit>
  <qstn>
    <qstnLit>J. Home language: If home language is Afrikaans and English, mark applicable space. If the home language is not Afrikaans, English, or English and Afrikaans, state home language under "Other".</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The respondent's home language</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V128" name="RELIGION" files="F4" intrvl="discrete">
  <labl>Religion</labl>
  <imputation>Religion</imputation>
  <security>Religion</security>
  <embargo>Religion</embargo>
  <respUnit>Religion</respUnit>
  <qstn>
    <qstnLit>K. Religion - State particular denomination</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Dutch Reformed Church</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Reformed Church in South Africa</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Dutch Reformed Church of Africa</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Church of the Province of South Africa</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Church of England in South Africa</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Church of England (so stated)</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Anglican (so stated)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Methodist Church of South Africa</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Presbyterian Church of South Africa</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>United Congregational Church of Southern Africa</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Lutheran Churches</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Roman Catholic</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Apostolic Faith Mission of South Africa</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Other Apostolic Churches</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Babtist</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Christian Scientist</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Church of Christ</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>Faith Healing</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>Full Gospel Church</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Greek Church</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Mormon (Latter Day Saints)</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Penticostal Church</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Plymouth Brethern</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Sabbatarians</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Salvation Army</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>Seventh Day Adventists</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>S.A. General Mission</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>Swiss Churches</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>Assemblies of God</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Bantu Christian Churches</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Other Christian Churches</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Jewish, Hebrew</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Buddist</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>Confucian</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>Hindu</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>Islam (Musselman, Moslem, Mohammedan)</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>Other Religions (Non-Christian)</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>Object</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>No Religion, No church (so stated)</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Unspecified</labl>
  </catgry>
  <txt>The respondent's religious affiliation</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V129" name="EDUC" files="F4" intrvl="discrete">
  <labl>Education:School Standard</labl>
  <imputation>Education:School Standard</imputation>
  <security>Education:School Standard</security>
  <embargo>Education:School Standard</embargo>
  <respUnit>Education:School Standard</respUnit>
  <qstn>
    <qstnLit>L(1) Level of education - state highest school standard passed</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>No Standard</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Grade 1 and 2 (Sub A and B) and</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Standard 2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Standard 3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Standard 4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Standard 5</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Standard 6</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Standard 7</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Standard 8</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Standard 9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Standard 10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Bachelors degree</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Master's degree</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Doctor's degree</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Diploma/Certificate with std. 10</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Diploma/Certificate with std. 9 or lower</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Diploma/Certificate with std. 7 or lower</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Diploma/Certificate and bachelor</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>Diploma/Certificate and master'</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>Diploma/Certificate and doctor'</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Unspecified</labl>
  </catgry>
  <txt>Highest school level attained by the respondent</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V130" name="DEGREE" files="F4" intrvl="contin">
  <labl>Education:Degree or Diploma</labl>
  <imputation>Education:Degree or Diploma</imputation>
  <security>Education:Degree or Diploma</security>
  <embargo>Education:Degree or Diploma</embargo>
  <respUnit>Education:Degree or Diploma</respUnit>
  <qstn>
    <qstnLit>L(2) Level of education - state any degree (university), diploma or certificate obtained</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>Highers post-school education level obtained by the respondent</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V131" name="EMPSTAT" files="F4" intrvl="discrete">
  <labl>Status of Employment</labl>
  <imputation>Status of Employment</imputation>
  <security>Status of Employment</security>
  <embargo>Status of Employment</embargo>
  <respUnit>Status of Employment</respUnit>
  <qstn>
    <qstnLit>M(2). Status of employment - state whether employee, employer (own business), worker for own account (not employing anyone), unemployed (looking for work), not working (not looking for work), etc.</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Employer (own business), includes worker for own account (no employees) as well as unpaid family workers in business, profession or farming</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Employee</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Unemployed</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Not working (not looking for work- e.g. housewife, retired, scholar, chronic invalid, etc.)</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Foreign visitor (visitor from another country on temporary visit to S.A.)</labl>
  </catgry>
  <txt>The employment status of the respondent</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V132" name="EMPLOYER" files="F4" intrvl="discrete">
  <labl>Identity of Employer</labl>
  <imputation>Identity of Employer</imputation>
  <security>Identity of Employer</security>
  <embargo>Identity of Employer</embargo>
  <respUnit>Identity of Employer</respUnit>
  <qstn>
    <qstnLit>M(3) Name of Employer</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>Central Government</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Provincial Government</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Local Government</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Bantu authorities</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Public corporations: S.A.R. &amp; H., S.A.A. and Post Office</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Other public corporation</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Private businesses</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Non-profit insitutions which serve persons</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Private households</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Unemployed, not economically active and unspecified</labl>
  </catgry>
  <txt>The sector/institution of the respondent's employer</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V133" name="INCOME" files="F4" intrvl="discrete">
  <labl>Income</labl>
  <imputation>Income</imputation>
  <security>Income</security>
  <embargo>Income</embargo>
  <respUnit>Income</respUnit>
  <qstn>
    <qstnLit>N. Personal income - Total income during the 12 months ending 30 April 1970 or during the 12 months ending 28 February 1970.</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>No income</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Under R100</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>R100-R199</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>R200-R299</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>R300-R399</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>R400-R499</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>R500-R599</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>R600-R799</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>R800-R999</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>R1000-R1199</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>R1200-R1599</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>R1600-R1999</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>R2000-R2499</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>R2500-R2999</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>R3000-R3499</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>R3500-R3999</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>R4000-R4499</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>R4500-R4999</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>R5000-5999</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>R6000-R6999</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>R7000-R7999</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>R8000-R9999</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>R10000-R14999</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>R15000-R19999</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>R20000-R29999</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>R30000 and over</labl>
  </catgry>
  <txt>The respondent's income (in income groups)</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V134" name="RURBAN" files="F4" intrvl="discrete">
  <labl>Rural/Urban (de facto)</labl>
  <imputation>Rural/Urban (de facto)</imputation>
  <security>Rural/Urban (de facto)</security>
  <embargo>Rural/Urban (de facto)</embargo>
  <respUnit>Rural/Urban (de facto)</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Rural</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Urban</labl>
    <catStat type="invd"/>
  </catgry>
  <txt>The type of area in which the respondent resides, that is, rural or urban</txt>
  <varFormat type="numeric"/>
</var>
</dataDscr></codeBook>
