<?xml version="1.0" encoding="UTF-8"?>
<codeBook version="1.2.2" ID="ZAF_1980_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_1980_PHC_v01_M</IDNo>
    </titlStmt>
    <prodStmt>
      <producer abbr="" affiliation="University of Cape Town" role="Metadata producer">DataFirst</producer>
      <prodDate date="2011-05-05">2011-05-05</prodDate>
      <software version="v5">NADA</software>
    </prodStmt>
    <verStmt>
      <version>Version 01 (June 2011)</version>
    </verStmt>
  </citation>
</docDscr>
<stdyDscr>
  <citation>
    <titlStmt>
      <titl>Population Census 1980</titl>
      <subTitl/>
      <altTitl>PHC 1980</altTitl>
      <parTitl/>
      <IDNo>ZAF_1980_PHC_v01_M</IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty affiliation="">Statistics South Africa</AuthEnty>
    </rspStmt>
    <prodStmt>
      <copyright>(c) 1985, Statistics South Africa</copyright>
      <software version="5.0" date="2021-12-10">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="2011-06-29">Version 01.2: Edited, anonymised dataset for licensed distribution</version>
      <verResp/>
      <notes>The original South African Census 1980 dataset was produced in 1985 and released as 9 data files.  A later version was downloaded from Statistics South Africa's website on 29 April 2011.  This later version was a merged dataset with the variable names translated from Afrikaans to English and values labels added.

The current version (v01.2) available on DataFirst's microdata catalogue is the merged STATSSA dataset (mentioned above) with the following changes:

The original variable SUBURB in the SA Census 1980 dataset had the label "City/Town". This has been relabelled to "Suburb" as this variable actually contains the suburb names and not city/town names.
The original variable PROVINCE  in the SA Census 1980 dataset had the label "Provinces". This has been relabelled to "Province" for consistency (i.e. from plural to singular).
The value labels in the SA Census 1980 dataset for the following variables have been changed:
SPORT1C 
SPORT2C
The original value labels were "Competition" (values of 1) and "Not Competition" (values of 0). This has been changed to "Competitively" (values of 1) and "Not competitively" (values of 0).

A separate data file for the 1980 Census data collected for Bophuthatswana was downloaded from Statistics South Africa's website on 29 April 2011.

The current version (v01.2) available on DataFirst's microdata catalogue is the merged STATSSA dataset (mentioned above) with the following changes:

Unnecessary decimal places were removed from the following variables:
SUBURB
ENUMAREA
PLACE80
PLACE75
BILINGUL
CEB
CBLYR
CDLYR
PLACEWRK
WKLAWEEK
WKLOOKED
WKAGAIN
REFRIG
FREEZER
STOVES
WASHMACH
RADIO
TV
MOTORCAR
MOTORCYC
BICYCLE
TRACTOR
DRAWNV
RMSBED
RMSLIV
RMSBTHTO
RMSBATH
RMSTOILT
RMSKITCH
RMSGARAG
RMSOTHER
NOCCUP 

Values labels were added to the following variables:
WKLAWEEK - value labels "Yes" (for values of 1) "No" (for values of 2)
WKLOOKED - value labels "Yes" (for values of 1) "No" (for values of 2)
WKAGAIN - value labels "Within a week" (for values of 1) "After a week" (for values of 2)
BILINGUL - value labels "Not applicable" (for values of 0) "To the same extent" (for values of 1)</notes>
    </verStmt>
    <biblCit format=""/>
    <notes/>
  </citation>
  <stdyInfo>
    <studyBudget/>
    <subject>
      <topcClas vocab="CESSDA" vocabURI="http://www.nesstar.org/rdf/common">DEMOGRAPHY AND POPULATION [14]</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">employment [3.1]</topcClas>
      <topcClas vocab="CESSDA" vocabURI="http://www.nesstar.org/rdf/common">LABOUR AND EMPLOYMENT [3]</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">EDUCATION [6]</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">TRANSPORT, TRAVEL AND MOBILITY [11]</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">leisure and sport [13.4]</topcClas>
    </subject>
    <abstract>The 1980 South African Population Census was a count of all persons present on Republic of South African territory during census night (i.e. at midnight between 6 and 7 May 1980). The purpose of the population census was to collect, process and disseminate detailed statistics on population size, composition and distribution at small area level.  The 1980 South African Population Census contains data collected on HOUSEHOLDS: household goods and dwelling characteristics as well as employment of domestic workers; INDIVIDUALS: population group, citizenship/nationality, marital status, fertility and infant mortality, education, employment, religion, language and disabilities, as well as mode of transport used and participation in sport and other recreational activities</abstract>
    <sumDscr>
      <collDate date="1980-05-07" event="start" cycle=""/>
      <collDate date="1980-05-07" event="end" cycle=""/>
      <nation abbr="ZAF">South Africa</nation>
      <geogCover>The 1980 census covered 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. It also covered areas in the following so-called National States of Ciskei, KwaZulu, Gazankulu, Lebowa, Qwaqwa, Kangwane, and Kwandebele. The 1980 South African census excluded the areas of the Transkei and Bophuthatswana.  A census data file for Bophuthatswana was released with the final South African Census 1980 dataset.</geogCover>
      <geogUnit>The lowest level of geographic aggregation for the 1980 South African census is  Enumerator's subdistrict (ESD).</geogUnit>
      <anlyUnit>The units of analysis of the 1980 census includes households, individuals and institutions</anlyUnit>
      <universe>The 1980 South African census covered all household members (usual residents).

The 1980 South African Population 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 (i.e. at midnight between 6 and 7 May 1980) 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 1980 South African population census includes:

HOUSEHOLD: household goods and dwelling characteristics (including household ownership) and employment of domestic workers
INDIVIDUAL: population group, citizenship/nationality, marital status, fertility and infant mortality, education, employment, religion, language and disabilities, as well as mode of transport used and participation in sport and other recreational activities</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="CSS" affiliation="">Central Statistical Service</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/>
      <sampleFrame>
        <sampleFrameName/>
        <custodian/>
        <universe/>
        <frameUnit isPrimary="">
          <unitType numberOfUnits=""/>
        </frameUnit>
        <updateProcedure/>
      </sampleFrame>
      <deviat/>
      <collMode>Face-to-face [f2f]</collMode>
      <resInstru>The 1980 Population Census questionnaire was administered to all household members and covered household goods and dwelling characteristics, and employment of domestic workers. Questions concerning individuals included those on citizenship/nationality, marital status, fertility and infant mortality, education, employment, religion, language and disabilities, as well as mode of transport used and participation in sport and other recreational activities.

The following questions appear in the questionnaire but the corresponding data has not been included in the data set:
PART C: PARTICULARS OF DWELLING:
2. How many separate families
(i) Number of families
(ii) Number of non-family persons
(iii) total number of occupants [i.e. persons in families shown against (i) plus persons shown against
3. Persons employed by household
    Full-time, Part-time
   (a) How many persons are employed as domestics by you? (Include garden workers)
   (b) Total cash wages paid to above –mentioned persons for April 1980
4. Ownership – Do not answer this question if your dwelling is on a farm.
(i) Own dwelling – (Including hire-purchase, sectional title property or property of wife):
   (a) Is the dwelling Fully paid Partly paid-off
   (b) If partly paid-off, state monthly repayment (include housing subsidy, but exclude insurance.
(ii) Rented or occupied free dwelling :
   (a) Is the dwelling occupied free, rented furnished, rented unfurnished
   (b) If rented, state monthly rent
   (c) Is the dwelling owned by the employer?
   (d) Does it belong to the state, SA Railways, a provincial administration, a divisional council, or a municipality or other local authority?
PART D: PARTICULARS OF THE FAMILY
1. Number of members in the family
2. Occupation. (Nature of work done) 
   (a) Head of family
   (b) Wife
3. Annual income of head of family and wife.
Annual income of: Head, Wife (if applicable)</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/>
      <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>This data may be used provided Statistics South Africa is acknowledged as the original source of the data.
Citation:  Statistics South Africa. South African Census 1980. 1985. Version 1.0 of the dataset. Provided by DataFirst http://www.datafirst.uct.ac.za</citReq>
      <deposReq/>
      <conditions>Licensed dataset, accessible for research purposes under the following conditions:
 
The data on which this product is based, is copyright. Apart from uses permitted under the Copyright Act of 1978, no part of it may be reproduced or copied in any format or by any  process, and no reproduction or copy may be sold, without prior permission or license from  Statistics South Africa.</conditions>
      <disclaimer>Users may apply or process this data, provided Statistics South Africa (Stats SA) is acknowledged as the original source of the data; that it is specified that the application and /or analysis is the result of the user's independent processing of the data; and that neither the basic data nor any reprocessed version or application thereof may be sold or offered for sale in any form whatsoever without prior permission from Stats SA.</disclaimer>
    </useStmt>
    <notes/>
  </dataAccs>
  <notes/>
</stdyDscr>
<fileDscr ID="F1">
  <fileTxt>
    <fileName>South African Census 1980_v1</fileName>
    <fileCont>The file contains data related to part A of the 1980 census (questions asked of each person in the household: sex, age, marital status, population group, birthplace, citizenship, place of residence, religion, disability, literacy, home language, education, sport &amp; recreation activity, transport, occupation, work status and economic sector, questions asked of females only: numbers of children ever born, child deaths in past year), part B (household amenities: numbers of various amenities available to household e.g. refrigerator, stove, bicycle, etc.) and part C (particulars of the dwelling: type of dwelling).  The file also contains data related to geography (suburb, enumerator's sub district, magisterial district and province).</fileCont>
    <dimensns>
      <caseQnty>0</caseQnty>
      <varQnty>62</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<fileDscr ID="F2">
  <fileTxt>
    <fileName>South African Census Bop 1980_v1</fileName>
    <fileCont>The file contains data related to part A of the 1980 census (questions asked of each person in the household: sex, age, population group, birthplace, citizenship, place of residence, religion, disability, literacy, home language, education, sport &amp; recreation activity, transport, occupation, work status and economic sector, income, questions asked of females only: numbers of children ever born, child deaths in past year), part B (household amenities: numbers of various amenities available to household e.g. refrigerator, stove, bicycle, etc.) and part C (particulars of the dwelling: type of dwelling, numbers of bedrooms, livingrooms, bathrooms, toilets, kitchens, garages and other rooms, ownership of dwelling).  The file also contains data related to geography (suburb and enumerator's sub district).</fileCont>
    <dimensns>
      <caseQnty>0</caseQnty>
      <varQnty>66</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<dataDscr>
<var ID="V1" name="AREA" files="F1" intrvl="discrete">
  <labl>Area</labl>
  <imputation>Area</imputation>
  <security>Area</security>
  <embargo>Area</embargo>
  <respUnit>Area</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <notes>More information on this variable is required from the data producer</notes>
  <varFormat type="numeric"/>
</var>
<var ID="V2" name="SUBURB" files="F1" intrvl="contin">
  <labl>Suburb</labl>
  <imputation>Suburb</imputation>
  <security>Suburb</security>
  <embargo>Suburb</embargo>
  <respUnit>Suburb</respUnit>
  <qstn>
    <preQTxt>Must be filled in by the enumerator</preQTxt>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable represents the South African suburb.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V3" name="EA" files="F1" intrvl="contin">
  <labl>Enumerator's subdistrict (ESD)</labl>
  <imputation>Enumerator's subdistrict (ESD)</imputation>
  <security>Enumerator's subdistrict (ESD)</security>
  <embargo>Enumerator's subdistrict (ESD)</embargo>
  <respUnit>Enumerator's subdistrict (ESD)</respUnit>
  <qstn>
    <preQTxt>Must be filled in by the enumerator</preQTxt>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The Republic of South Africa was divided into 316 census districts with a census supervisor in charge of enumeration in each such area. These census districts were in turn subdivided into approximately 24 000 enumerator subdistricts (ESDs). The size of ESDs varied according to the number of persons in the ESD.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V4" name="SEQNO" files="F1" intrvl="contin">
  <labl>Serial number</labl>
  <imputation>Serial number</imputation>
  <security>Serial number</security>
  <embargo>Serial number</embargo>
  <respUnit>Serial number</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The serial number is used for administration purposes.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V5" name="RETURNNO" files="F1" intrvl="contin">
  <labl>Return no</labl>
  <imputation>Return no</imputation>
  <security>Return no</security>
  <embargo>Return no</embargo>
  <respUnit>Return no</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>The return number is used for administration purposes.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V6" name="PLACE" files="F1" intrvl="discrete">
  <labl>Type of dwelling (place enumerated)</labl>
  <imputation>Type of dwelling (place enumerated)</imputation>
  <security>Type of dwelling (place enumerated)</security>
  <embargo>Type of dwelling (place enumerated)</embargo>
  <respUnit>Type of dwelling (place enumerated)</respUnit>
  <qstn>
    <preQTxt>Must be filled in by the enumerator:</preQTxt>
  </qstn>
  <universe>All households</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>House</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Semi-detacted house</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Flat</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Flat on same erf as house</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Tradional house eg hut</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Hotel/Boarding house</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Old age home</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Hostel/campong</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Other tipe of dwelling</labl>
  </catgry>
  <txt>This is the dwelling type of the household member where the enumeration took place.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V7" name="STAY" files="F1" intrvl="discrete">
  <labl>Type of dwelling (usual residence)</labl>
  <imputation>Type of dwelling (usual residence)</imputation>
  <security>Type of dwelling (usual residence)</security>
  <embargo>Type of dwelling (usual residence)</embargo>
  <respUnit>Type of dwelling (usual residence)</respUnit>
  <qstn>
    <preQTxt>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</preQTxt>
    <qstnLit>9. Usual place of residence: State full residential address. See instructions 2e. If the same as the address at the top of this form, write “HERE”. Also state TYPE OF DWELLING at address on 6 May 1980, e.g. house, flat, hotel, etc.
(1) Now 6 May 1980……………..….
(2) 5 years ago May 1975……………</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>House</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Semi-detacted house</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Flat</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Flat on same erf as house</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Tradional house eg hut</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Hotel/Boarding house</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Old age home</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Hostel/campong</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Other tipe of dwelling</labl>
  </catgry>
  <txt>This is the dwelling type at the usual residence of the household member.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V8" name="SEX" files="F1" intrvl="discrete">
  <labl>Sex</labl>
  <imputation>Sex</imputation>
  <security>Sex</security>
  <embargo>Sex</embargo>
  <respUnit>Sex</respUnit>
  <qstn>
    <qstnLit>3. Sex: Mark applicable space with a cross (X)………………………………</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <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>This variable records the gender of the individual household member</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V9" name="AGE" files="F1" intrvl="contin">
  <labl>Age</labl>
  <imputation>Age</imputation>
  <security>Age</security>
  <embargo>Age</embargo>
  <respUnit>Age</respUnit>
  <qstn>
    <qstnLit>4. Age: State age in years at last birthday. For babies under one year, write “0”………………………………</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records the age of the individual household member.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V10" name="MARITAL" 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>
    <preQTxt>See instruction 2b…</preQTxt>
    <qstnLit>5. Marital status: State whether never married, married, widowed, divorced or living together.</qstnLit>
    <postQTxt>See instruction 2b…</postQTxt>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <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>Living together</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Widow/Widower</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Divorced</labl>
  </catgry>
  <txt>This variable records the marrital status of the household member.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V11" name="RACE" files="F1" intrvl="discrete">
  <labl>Population group</labl>
  <imputation>Population group</imputation>
  <security>Population group</security>
  <embargo>Population group</embargo>
  <respUnit>Population group</respUnit>
  <qstn>
    <qstnLit>6. Population group: E.g. white, Malay, Indian, South Sotho, etc.</qstnLit>
    <postQTxt>See instruction 2c</postQTxt>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>White</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Cape Coloured</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Cape 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>Chinese</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Indian</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Other Asian</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Xhosa</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Zulu</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Swazi</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>South Ndebele</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>North Ndebele</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>North Sotho</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>South Sotho</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Tswana</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Shangaan/Tsonga</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>Venda</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>Lemba</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Other Black</labl>
  </catgry>
  <txt>This variable records the populaiton group (race) of the household member.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V12" name="POB" files="F1" intrvl="discrete">
  <labl>Birth place</labl>
  <imputation>Birth place</imputation>
  <security>Birth place</security>
  <embargo>Birth place</embargo>
  <respUnit>Birth place</respUnit>
  <qstn>
    <qstnLit>7. Birthplace: If within RSA, state name of DISTRICT. If outside RSA, state name of COUNTRY</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>CAPE (PENINSULA)</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>WYNBERG</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>SIMON'S TOWN</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>GOODWOOD</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>BELLVILLE</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>STELLENBOSCH</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>KUILS RIVER</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>SOMERSET WEST</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>STRAND</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>PAARL</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>WELLINGTON</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>UNIONDALE</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>JOUBERTINA</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>HUMANSDORP</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>HANKEY</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>OUDTSHOORN</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>CALITZDORP</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>LADISMITH</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>KNYSNA</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>GEORGE</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>MOSSEL BAY</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>RIVERSDALE</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>CALEDON</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>HERMANUS</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>BREDASDORP</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>SWELLENDAM</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>HEIDELBERG CP</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>WORCESTER</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>CERES</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>TULBAGH</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>ROBERTSON</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>MONTAGU</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>MALMESBURY</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>HOPEFIELD</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>PIKETBERG</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>VREDENBURG</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>CLANWILLIAM</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>VREDENDAL</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>VANRHYNSDORP</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>NAMAQUALAND</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>WALVIS BAY</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>PORT ELIZABETH</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>UITENHAGE</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>KIRKWOOD</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>CALVINIA</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>WILLISTON</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>SUTHERLAND</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>BEAUFORT WEST</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>FRASERBURG</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>LAINGSBURG</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>PRINCE ALBERT</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>VICTORIA WEST</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>MURRAYSBURG</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>JANSENVILLE</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>STEYTLERVILLE</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>WILLOWMORE</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>ABERDEEN</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>GRAAFF-REINET</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>PEARSTON</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>CRADOCK</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>MIDDELBURG CP</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>HOPETOWN</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>BRITSTOWN</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>DE AAR</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>PHILIPSTOWN</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>RICHMOND CP</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>HANOVER</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>COLESBERG</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>NOUPOORT</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>PRIESKA</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>CARNARVON</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>KIMBERLEY</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>GORDONIA</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>KENHARDT</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>KURUMAN</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>POSTMASBURG</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>HAY</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>VRYBURG</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>MAFIKENG</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>HERBERT</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>BARKLY WEST</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>WARRENTON</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>HARTSWATER</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>BOSHOF</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>JACOBSDAL</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>KOFFIEFONTEIN</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>FAURESMITH</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>EAST LONDON</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>KING WILLIAM'S TOWN</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>KOMGA</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>STUTTERHEIM</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>CATHCART</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>QUEENSTOWN</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>TARKA</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>STERKSTROOM</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>MOLTENO</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>ALBANY</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>SOMERSET EAST</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>ALEXANDRIA</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>BATHURST</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>FORT BEAUFORT</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>ADELAIDE</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>BEDFORD</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>PEDDIE CP</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>VICTORIA EAST CP</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>STOCKENSTROM</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>BARKLY EAST</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>WODEHOUSE</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>INDWE</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>ELLIOT</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>MACLEAR</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>LADY GREY</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>ALIWAL NORTH</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>ALBERT</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>VENTERSTAD</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>STEYNSBURG</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>HOFMEYR</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>ZASTRON</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>ROUXVILLE</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>SMITHFIELD</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>BETHULIE</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>DURBAN</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>PINETOWN NTL</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>INANDA</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>LOWER TUGELA NTL</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>CAMPERDOWN NTL</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>RICHMOND NTL</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>IXOPO</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>NEW HANOVER</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>LIONS RIVER NTL</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>UMVOTI NTL</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>KRANSKOP NTL</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>PIETERMARITZBURG</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>PORT SHEPSTONE NTL</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>ALFRED</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>UMZINTO</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>UNDERBERG NTL</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>IMPENDLE NTL</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>POLELA</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>MOUNT CURRIE</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>NEWCASTLE NTL</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>UTRECHT</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>DANNHAUSER</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>DUNDEE NTL</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>GLENCOE NTL</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>KLIPRIVIER</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>WEENEN NTL</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>MOOI RIVER</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>ESTCOURT</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>BERGVILLE NTL</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>PAULPIETERSBURG NTL</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>NGOTSHE</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>VRYHEID NTL</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>BABANANGO NTL</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>HLABISA NTL</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>LOWER UMFOLOZI</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>MTONJANENI NTL</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>ESHOWE</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>MTUNZINI</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>UBOMBO NTL</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>PRETORIA</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>WONDERBOOM</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>JOHANNESBURG</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>RANDBURG</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>GERMISTON</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>ALBERTON</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>BOKSBURG</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>KEMPTON PARK</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>BENONI</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>BRAKPAN</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>SPRINGS</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>NIGEL</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>DELMAS</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>HEIDELBERG TVL</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>BALFOUR</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>HIGHVELD RIDGE</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>KRUGERSDORP</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>ROODEPOORT</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>WESTONARIA</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>RANDFONTEIN</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>OBERHOLZER</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>BRITS</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>CULLINAN</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>BRONKHORSTSPRUIT</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>VEREENIGING</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>VANDERBIJLPARK</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>SASOLBURG</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>THABAZIMBI</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>WARMBATHS</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>RUSTENBURG</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>SWARTRUGGENS</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>MARICO</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>PIETERSBURG</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>POTGIETERSRUS</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>WATERBERG</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>MESSINA</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>SOUTPANSBERG</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>LETABA</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>NELSPRUIT</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>BARBERTON</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>WHITE RIVER</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>PILGRIM'S REST</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>LYDENBURG</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>WITBANK</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>MIDDELBURG TVL</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>GROBLERSDAL</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>BELFAST</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>WATERVAL-BOVEN</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>BETHAL</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>STANDERTON</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>VOLKSRUST</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>CAROLINA TVL</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>ERMELO TVL</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>AMERSFOORT</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>WAKKERSTROOM</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>PIET RETIEF TVL</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>KLERKSDORP</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>POTCHEFSTROOM</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>VENTERSDORP</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>COLIGNY</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>KOSTER</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>LICHTENBURG</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>DELAREYVILLE</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>WOLMARANSSTAD</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>SCHWEIZER-RENEKE</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>BLOEMHOF</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>CHRISTIANA</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>KROONSTAD</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>VENTERSBURG</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>HENNENMAN</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>PARYS</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>VREDEFORT</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>KOPPIES</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>HEILBRON</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>VILJOENSKROON</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>BOTHAVILLE</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>WESSELSBRON</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>HOOPSTAD</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>BULTFONTEIN</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>THEUNISSEN</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>BETHLEHEM</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>HARRISMITH</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>VREDE</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>FRANKFORT</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>REITZ</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>LINDLEY</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>SENEKAL</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>FOURIESBURG</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>FICKSBURG</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>ODENDAALSRUS</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>WELKOM</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>VIRGINIA</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>BLOEMFONTEIN</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>PETRUSBURG</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>BRANDFORT</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>WINBURG</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>MARQUARD</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>CLOCOLAN</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>EXCELSIOR</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>LADYBRAND</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>WEPENER</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>DEWETSDORP</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>REDDERSBURG</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>EDENBURG</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>TROMPSBURG</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>JAGERSFONTEIN</labl>
  </catgry>
  <catgry>
    <catValu>267</catValu>
    <labl>PHILIPPOLIS</labl>
  </catgry>
  <catgry>
    <catValu>268</catValu>
    <labl>ZWELITSHA</labl>
  </catgry>
  <catgry>
    <catValu>269</catValu>
    <labl>MDANTSANE</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>KEISKAMMAHOEK</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>MIDDLEDRIFT</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>VICTORIA EAST CIS</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>PEDDIE CIS</labl>
  </catgry>
  <catgry>
    <catValu>274</catValu>
    <labl>HEWU</labl>
  </catgry>
  <catgry>
    <catValu>275</catValu>
    <labl>PINETOWN KWZ</labl>
  </catgry>
  <catgry>
    <catValu>276</catValu>
    <labl>NTUZUMA</labl>
  </catgry>
  <catgry>
    <catValu>277</catValu>
    <labl>UMLAZI</labl>
  </catgry>
  <catgry>
    <catValu>278</catValu>
    <labl>EMBUMBULU</labl>
  </catgry>
  <catgry>
    <catValu>279</catValu>
    <labl>CAMPERDOWN KWZ</labl>
  </catgry>
  <catgry>
    <catValu>280</catValu>
    <labl>RICHMOND</labl>
  </catgry>
  <catgry>
    <catValu>281</catValu>
    <labl>VULAMEHLO</labl>
  </catgry>
  <catgry>
    <catValu>282</catValu>
    <labl>PORT SHEPSTONE KWZ</labl>
  </catgry>
  <catgry>
    <catValu>283</catValu>
    <labl>EZINGOLWENI</labl>
  </catgry>
  <catgry>
    <catValu>284</catValu>
    <labl>EMZUMBE</labl>
  </catgry>
  <catgry>
    <catValu>285</catValu>
    <labl>HLANGANANI</labl>
  </catgry>
  <catgry>
    <catValu>286</catValu>
    <labl>UNDERBERG KWZ</labl>
  </catgry>
  <catgry>
    <catValu>287</catValu>
    <labl>IMPENDLE KWZ</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>LIONS RIVER KWZ</labl>
  </catgry>
  <catgry>
    <catValu>289</catValu>
    <labl>EMPUMALANGA</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>NDWEDWE</labl>
  </catgry>
  <catgry>
    <catValu>291</catValu>
    <labl>LOWER TUGELA KWZ</labl>
  </catgry>
  <catgry>
    <catValu>292</catValu>
    <labl>KWA MAPUMULU</labl>
  </catgry>
  <catgry>
    <catValu>293</catValu>
    <labl>ONGOYE</labl>
  </catgry>
  <catgry>
    <catValu>294</catValu>
    <labl>INKANYEZI</labl>
  </catgry>
  <catgry>
    <catValu>295</catValu>
    <labl>KRANSKOP KWZ</labl>
  </catgry>
  <catgry>
    <catValu>296</catValu>
    <labl>UMVOTI KWZ</labl>
  </catgry>
  <catgry>
    <catValu>297</catValu>
    <labl>MSINGA</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>WEENEN KWZ</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>OKHAHLAMBA</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>BERGVILLE KWZ</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>EMNAMBITHI</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>NEWCASTLE KWZ</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>MADADENI</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>GLENCOE KWZ</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>DUNDEE KWZ</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>PAULPIETERSBURG KWZ</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>VRYHEID KWZ</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>NQUTU</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>NKANDLA</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>BABANANGO KWZ</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>MTONJANENI KWZ</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>ENSELENI</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>HLABISA KWZ</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>MAHLABATINI</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>NONGOMA</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>UBOMBO KWZ</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>INGWAVUMA</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>VULINDLELA</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>MALAMULELE</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>GIYANI</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>RITAVI</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>MHALA</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>MOKERONG</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>SESHEGO</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>BOCHUM</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>THABAMOOPO</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>NEBO</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>SEKHUKHUNELAND</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>NAPHUNO</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>MOUTSE</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>BOLOBEDU</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>SEKGOSESE</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>PHALABORWA</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>MAPULANENG</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>WITSIESHOEK</labl>
  </catgry>
  <catgry>
    <catValu>336</catValu>
    <labl>EERSTEHOEK</labl>
  </catgry>
  <catgry>
    <catValu>337</catValu>
    <labl>NSIKAZI</labl>
  </catgry>
  <catgry>
    <catValu>338</catValu>
    <labl>PIET RETIEF KNG</labl>
  </catgry>
  <catgry>
    <catValu>339</catValu>
    <labl>CAROLINA KNG</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>ERMELO KNG</labl>
  </catgry>
  <catgry>
    <catValu>341</catValu>
    <labl>MDUTJANA</labl>
  </catgry>
  <catgry>
    <catValu>342</catValu>
    <labl>CAPE (UNSPECIFIED)</labl>
  </catgry>
  <catgry>
    <catValu>343</catValu>
    <labl>NATAL (UNSPECIFIED)</labl>
  </catgry>
  <catgry>
    <catValu>344</catValu>
    <labl>TRANSVAAL (UNSPECIFIED)</labl>
  </catgry>
  <catgry>
    <catValu>345</catValu>
    <labl>O.F.S. (UNSPECIFIED)</labl>
  </catgry>
  <catgry>
    <catValu>346</catValu>
    <labl>CISKEI (UNSPECIFIED)</labl>
  </catgry>
  <catgry>
    <catValu>347</catValu>
    <labl>GAZANKULU (UNSPECIFIED)</labl>
  </catgry>
  <catgry>
    <catValu>348</catValu>
    <labl>KWANDEBELE (UNSPECIFIED)</labl>
  </catgry>
  <catgry>
    <catValu>349</catValu>
    <labl>KANGWANE (UNSPECIFIED)</labl>
  </catgry>
  <catgry>
    <catValu>350</catValu>
    <labl>KWAZULU (UNSPECIFIED)</labl>
  </catgry>
  <catgry>
    <catValu>351</catValu>
    <labl>LEBOWA (UNSPECIFIED)</labl>
  </catgry>
  <catgry>
    <catValu>352</catValu>
    <labl>QWAQWA (UNSPECIFIED)</labl>
  </catgry>
  <catgry>
    <catValu>353</catValu>
    <labl>R.S.A. (UNSPECIFIED)</labl>
  </catgry>
  <catgry>
    <catValu>909</catValu>
    <labl>VENDA</labl>
  </catgry>
  <catgry>
    <catValu>910</catValu>
    <labl>TRANSKEI</labl>
  </catgry>
  <catgry>
    <catValu>911</catValu>
    <labl>BOPHUTATSWANA</labl>
  </catgry>
  <catgry>
    <catValu>912</catValu>
    <labl>SOUTHWEST-AFRICA</labl>
  </catgry>
  <catgry>
    <catValu>913</catValu>
    <labl>LESOTHO</labl>
  </catgry>
  <catgry>
    <catValu>914</catValu>
    <labl>BOTSWANA</labl>
  </catgry>
  <catgry>
    <catValu>915</catValu>
    <labl>SWAZILAND</labl>
  </catgry>
  <catgry>
    <catValu>916</catValu>
    <labl>ALGERIA</labl>
  </catgry>
  <catgry>
    <catValu>917</catValu>
    <labl>ANGOLA</labl>
  </catgry>
  <catgry>
    <catValu>918</catValu>
    <labl>EGYPT</labl>
  </catgry>
  <catgry>
    <catValu>919</catValu>
    <labl>GHANA</labl>
  </catgry>
  <catgry>
    <catValu>920</catValu>
    <labl>KENYA</labl>
  </catgry>
  <catgry>
    <catValu>921</catValu>
    <labl>CONGO (SO STATED)</labl>
  </catgry>
  <catgry>
    <catValu>922</catValu>
    <labl>MADEIRA</labl>
  </catgry>
  <catgry>
    <catValu>923</catValu>
    <labl>MALAGASSY REPUBLIC (MADAGASCAR)</labl>
  </catgry>
  <catgry>
    <catValu>924</catValu>
    <labl>MALAWI</labl>
  </catgry>
  <catgry>
    <catValu>925</catValu>
    <labl>MAURITIUS</labl>
  </catgry>
  <catgry>
    <catValu>926</catValu>
    <labl>MOCAMBIQUE</labl>
  </catgry>
  <catgry>
    <catValu>927</catValu>
    <labl>UGANDA</labl>
  </catgry>
  <catgry>
    <catValu>928</catValu>
    <labl>RHODESIA</labl>
  </catgry>
  <catgry>
    <catValu>929</catValu>
    <labl>REPUBLIC OF THE CONGO</labl>
  </catgry>
  <catgry>
    <catValu>930</catValu>
    <labl>ST. HELENA</labl>
  </catgry>
  <catgry>
    <catValu>931</catValu>
    <labl>TANZANIA</labl>
  </catgry>
  <catgry>
    <catValu>932</catValu>
    <labl>ZAIRE</labl>
  </catgry>
  <catgry>
    <catValu>933</catValu>
    <labl>ZAMBIA</labl>
  </catgry>
  <catgry>
    <catValu>934</catValu>
    <labl>OTHER IN AFRICA</labl>
  </catgry>
  <catgry>
    <catValu>935</catValu>
    <labl>ALBANIA</labl>
  </catgry>
  <catgry>
    <catValu>936</catValu>
    <labl>BELGIUM</labl>
  </catgry>
  <catgry>
    <catValu>937</catValu>
    <labl>BULGARIA</labl>
  </catgry>
  <catgry>
    <catValu>938</catValu>
    <labl>DENMARK</labl>
  </catgry>
  <catgry>
    <catValu>939</catValu>
    <labl>WEST GERMANY (FED. REPUBLIC)</labl>
  </catgry>
  <catgry>
    <catValu>940</catValu>
    <labl>EAST GERMANY (DEM. REPUBLIC)</labl>
  </catgry>
  <catgry>
    <catValu>941</catValu>
    <labl>ESTHONIA (ESTLAND)</labl>
  </catgry>
  <catgry>
    <catValu>942</catValu>
    <labl>FINLAND</labl>
  </catgry>
  <catgry>
    <catValu>943</catValu>
    <labl>FRANCE</labl>
  </catgry>
  <catgry>
    <catValu>944</catValu>
    <labl>GIBRALTAR</labl>
  </catgry>
  <catgry>
    <catValu>945</catValu>
    <labl>GREECE</labl>
  </catgry>
  <catgry>
    <catValu>946</catValu>
    <labl>HUNGARY</labl>
  </catgry>
  <catgry>
    <catValu>947</catValu>
    <labl>IRELAND, REPUBLIC OF</labl>
  </catgry>
  <catgry>
    <catValu>948</catValu>
    <labl>ITALY</labl>
  </catgry>
  <catgry>
    <catValu>949</catValu>
    <labl>YOGUSLAVIA</labl>
  </catgry>
  <catgry>
    <catValu>950</catValu>
    <labl>LATVIA (LETLAND)</labl>
  </catgry>
  <catgry>
    <catValu>951</catValu>
    <labl>LITHUANIA</labl>
  </catgry>
  <catgry>
    <catValu>952</catValu>
    <labl>MALTA</labl>
  </catgry>
  <catgry>
    <catValu>953</catValu>
    <labl>NETHERLAND</labl>
  </catgry>
  <catgry>
    <catValu>954</catValu>
    <labl>NORWAY</labl>
  </catgry>
  <catgry>
    <catValu>955</catValu>
    <labl>AUSTRIA</labl>
  </catgry>
  <catgry>
    <catValu>956</catValu>
    <labl>POLAND</labl>
  </catgry>
  <catgry>
    <catValu>957</catValu>
    <labl>PORTUGAL</labl>
  </catgry>
  <catgry>
    <catValu>958</catValu>
    <labl>ROUMANIA</labl>
  </catgry>
  <catgry>
    <catValu>959</catValu>
    <labl>SPAIN</labl>
  </catgry>
  <catgry>
    <catValu>960</catValu>
    <labl>SWEDEN</labl>
  </catgry>
  <catgry>
    <catValu>961</catValu>
    <labl>SWITZERLAND</labl>
  </catgry>
  <catgry>
    <catValu>962</catValu>
    <labl>CHECHOSLOVAKIA</labl>
  </catgry>
  <catgry>
    <catValu>963</catValu>
    <labl>UNITED KINGDOM (SO STATED)</labl>
  </catgry>
  <catgry>
    <catValu>964</catValu>
    <labl>ENGLAND AND WALES</labl>
  </catgry>
  <catgry>
    <catValu>965</catValu>
    <labl>SCOTLAND</labl>
  </catgry>
  <catgry>
    <catValu>966</catValu>
    <labl>NORTHERN IRELAND</labl>
  </catgry>
  <catgry>
    <catValu>967</catValu>
    <labl>U.S.S.R.</labl>
  </catgry>
  <catgry>
    <catValu>968</catValu>
    <labl>OTHER IN EUROPE</labl>
  </catgry>
  <catgry>
    <catValu>969</catValu>
    <labl>BURMA</labl>
  </catgry>
  <catgry>
    <catValu>970</catValu>
    <labl>CYPRUS</labl>
  </catgry>
  <catgry>
    <catValu>971</catValu>
    <labl>INDIA</labl>
  </catgry>
  <catgry>
    <catValu>972</catValu>
    <labl>INDONESIA</labl>
  </catgry>
  <catgry>
    <catValu>973</catValu>
    <labl>ISRAEL</labl>
  </catgry>
  <catgry>
    <catValu>974</catValu>
    <labl>JAPAN</labl>
  </catgry>
  <catgry>
    <catValu>975</catValu>
    <labl>LEBANON</labl>
  </catgry>
  <catgry>
    <catValu>976</catValu>
    <labl>MALAYSIA - SINGAPORE</labl>
  </catgry>
  <catgry>
    <catValu>977</catValu>
    <labl>PAKISTAN</labl>
  </catgry>
  <catgry>
    <catValu>978</catValu>
    <labl>SRI-LANKA (CEYLON)</labl>
  </catgry>
  <catgry>
    <catValu>979</catValu>
    <labl>SYRIA</labl>
  </catgry>
  <catgry>
    <catValu>980</catValu>
    <labl>CHINA</labl>
  </catgry>
  <catgry>
    <catValu>981</catValu>
    <labl>TURKEY</labl>
  </catgry>
  <catgry>
    <catValu>982</catValu>
    <labl>OTHER IN ASIA</labl>
  </catgry>
  <catgry>
    <catValu>983</catValu>
    <labl>ARGENTINE</labl>
  </catgry>
  <catgry>
    <catValu>984</catValu>
    <labl>BRAZIL</labl>
  </catgry>
  <catgry>
    <catValu>985</catValu>
    <labl>CANADA</labl>
  </catgry>
  <catgry>
    <catValu>986</catValu>
    <labl>MEXICO</labl>
  </catgry>
  <catgry>
    <catValu>987</catValu>
    <labl>URUGUAY</labl>
  </catgry>
  <catgry>
    <catValu>988</catValu>
    <labl>U.S.A.</labl>
  </catgry>
  <catgry>
    <catValu>989</catValu>
    <labl>OTHER IN AMERICA</labl>
  </catgry>
  <catgry>
    <catValu>990</catValu>
    <labl>AUSTRALIA</labl>
  </catgry>
  <catgry>
    <catValu>991</catValu>
    <labl>NEW ZEALAND</labl>
  </catgry>
  <catgry>
    <catValu>992</catValu>
    <labl>OTHER IN OCEANIA</labl>
  </catgry>
  <catgry>
    <catValu>993</catValu>
    <labl>STATELESS AND UNKNOWN</labl>
  </catgry>
  <txt>This variable records the district in which the individual household member was born (if born in the Republic of South Africa). Alternatively if the household member was born outside of the Republic of South Africa the country of birth is recorded.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V13" name="CITIZEN" files="F1" intrvl="discrete">
  <labl>Citizenship/nationality</labl>
  <imputation>Citizenship/nationality</imputation>
  <security>Citizenship/nationality</security>
  <embargo>Citizenship/nationality</embargo>
  <respUnit>Citizenship/nationality</respUnit>
  <qstn>
    <qstnLit>8. Country of citizenship/nationality.</qstnLit>
    <postQTxt>See instruction 2d</postQTxt>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>RSA</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Ciskei</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Gazankulu</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Kwandebele</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Kangwane</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Kwazulu</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Lebowa</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Qwaqwa</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Venda</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Transkei</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Bophuthatswana</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Namibia</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Lesotho</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Botswana</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Swaziland</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Algerie</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Angola</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>Egipte</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>Ghana</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Kenia</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Kongo (so stated)</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Madeira</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Madagascar</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Malawi</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Mauritius</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>Mozambique</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>Uganda</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>Zimbabwe</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>Rep of Kongo</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>St Helena</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Tanzania</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Zaire</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Zambia</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>Other in Africa</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>Albania</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>Belgium</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>Bulgaria</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>Denmark</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>West Germany</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>East Germany</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Estonia</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Finland</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>France</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>Gilbraltar</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>Greece</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>Hungary</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>Ireland, Rep of</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>Italy</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>Yugoslawia</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Latvia</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Lithuania</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Malta</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>Netherlands</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>Norway</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>Austria</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>Poland</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>Portugal</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>Romania</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>Spain</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Sweden</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Switzerland</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>Czechoslovakia</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>UK (so stated)</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>England and Wales</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>Scotland</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>Northern Ireland</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>USSR</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>Other in Europe</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>Burma</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>Cyprus</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>India</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>Indonesia</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>Israel</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>Japan</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>Lebanon</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>Malaysia/Singapore</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>Pakistan</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>Sri-Lanka</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>Siria</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>China</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>Turkey</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>Other in Asia</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>Argentinia</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>Brazil</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>Canada</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>Mecixo</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>Uruguay</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>USA</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>Other in America</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>Australia</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>New Zealand</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>Other in Oseania</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>Stateless and unknown</labl>
  </catgry>
  <txt>This variable records the citizenship/nationality of the individual household member.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V14" name="SUBURB80" files="F1" intrvl="contin">
  <labl>Place of residence 1980 (suburb-town)</labl>
  <imputation>Place of residence 1980 (suburb-town)</imputation>
  <security>Place of residence 1980 (suburb-town)</security>
  <embargo>Place of residence 1980 (suburb-town)</embargo>
  <respUnit>Place of residence 1980 (suburb-town)</respUnit>
  <qstn>
    <qstnLit>9. Usual place of residence: State full residential address. (1) Now 6 May 1980</qstnLit>
    <postQTxt>State full residential address. See instructions 2e. If the same as the address at the top of this form, write “HERE”.</postQTxt>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records the usual place of residence (the South African suburb) of the individual household member on the 6 May 1980.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V15" name="SUBURB75" files="F1" intrvl="contin">
  <labl>Place of residence 1975 (suburb-town)</labl>
  <imputation>Place of residence 1975 (suburb-town)</imputation>
  <security>Place of residence 1975 (suburb-town)</security>
  <embargo>Place of residence 1975 (suburb-town)</embargo>
  <respUnit>Place of residence 1975 (suburb-town)</respUnit>
  <qstn>
    <qstnLit>9. Usual place of residence: State full residential address. (2) 5 years ago May 1975</qstnLit>
    <postQTxt>State full residential address. See instructions 2e. If the same as the address at the top of this form, write "HERE".</postQTxt>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records the usual place of residence (the South African suburb) of the individual household member five years ago (i.e. May 1975).</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V16" name="RELIGION" files="F1" intrvl="discrete">
  <labl>Religion</labl>
  <imputation>Religion</imputation>
  <security>Religion</security>
  <embargo>Religion</embargo>
  <respUnit>Religion</respUnit>
  <qstn>
    <qstnLit>10. Religion: State particular religious affiliation/denomination – not name of local congregation and not “Christian” only</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Nederduitse Gereformeerde Kerk</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Gereformeerde Kerk</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Nederduitsch Hervormde Kerk</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Church of the Province of SA</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Church of England in SA</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 SA</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Presbyterian Church of SA</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>United Congregational Church of Southern Africa</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Lutheran Church</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Roman Catholic</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Apostolic Faith Mission of SA</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Other Apostolic Churches</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Baptist</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Pentecostal Protestant Church</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Faith Mission Healers</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>Full Gospel Church</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>Greek Church</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Mormon (Latter Day Saints)</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Pentecostal Church</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Salvation Army</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Seventh Day Adventists</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>SA General Mission</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Swiss Church</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>Assemblies of God</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>Zion Christian Church</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>Other Black Independant Churches</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>Other Christian Churches</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Jewish/Hebrew</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Buddhist</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Confucian</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Hindu</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>Islam</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>Other beliefs</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>Object to state</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>No religion, no church (so stated)</labl>
  </catgry>
  <txt>This variable records the religion of the individual household member.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V17" name="DISABLE" files="F1" intrvl="discrete">
  <labl>Disability</labl>
  <imputation>Disability</imputation>
  <security>Disability</security>
  <embargo>Disability</embargo>
  <respUnit>Disability</respUnit>
  <qstn>
    <qstnLit>11. Disabled persons: If person is disabled, state NATURE of disability, e.g. blind, cripple, mentally retarded, etc.</qstnLit>
    <postQTxt>See instruction 2f</postQTxt>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>None</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Addiction</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Schizophrenia or similar serious mental illness</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Neurosis or similar less serious mental illness</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Dementia</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Mentally handicapped</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Other mental illness</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Blind</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Deaf</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Deaf-Mute</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Epileptic</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Cripple</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Spastic - Paraplegic</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Spastic - Quadruplegic</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Spastic - Hemiplegic</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Spastic - Other</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Permanently ill</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>More than one disability</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>Disable, not elsewhere classified</labl>
  </catgry>
  <txt>This variable records the nature of the disability of the individual household member.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V18" name="AFR" files="F1" intrvl="discrete">
  <labl>Literacy - Afrikaans</labl>
  <imputation>Literacy - Afrikaans</imputation>
  <security>Literacy - Afrikaans</security>
  <embargo>Literacy - Afrikaans</embargo>
  <respUnit>Literacy - Afrikaans</respUnit>
  <qstn>
    <qstnLit>12. Language and literacy: Indicate with crosses whether each person can SPEAK (communicate in), READ and/or WRITE the following languages.</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>Not applicable</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Speak only</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Read and write</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Speak, read and write</labl>
  </catgry>
  <txt>This variable records the level of fluency in Afrikaans of the individual household member, specifically recording whether the individual can speak, read or write in Afrikaans.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V19" name="ENG" files="F1" intrvl="discrete">
  <labl>Literacy - English</labl>
  <imputation>Literacy - English</imputation>
  <security>Literacy - English</security>
  <embargo>Literacy - English</embargo>
  <respUnit>Literacy - English</respUnit>
  <qstn>
    <qstnLit>12. Language and literacy: Indicate with crosses whether each person can SPEAK (communicate in), READ and/or WRITE the following languages.</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>Not applicable</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Speak only</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Read and write</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Speak, read and write</labl>
  </catgry>
  <txt>This variable records the level of fluency in English of the individual household member, specifically recording whether the individual can speak, read or write in English.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V20" name="BLACK" files="F1" intrvl="discrete">
  <labl>Literacy - Black</labl>
  <imputation>Literacy - Black</imputation>
  <security>Literacy - Black</security>
  <embargo>Literacy - Black</embargo>
  <respUnit>Literacy - Black</respUnit>
  <qstn>
    <qstnLit>12. Language and literacy: Indicate with crosses whether each person can SPEAK (communicate in), READ and/or WRITE the following languages.</qstnLit>
    <postQTxt>(NB - "Black" means any language of the blacks such as Zulu, North Sotho, etc.) See instruction 2g for blacks.</postQTxt>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>Not applicable</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Speak only</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Read and write</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Speak, read and write</labl>
  </catgry>
  <txt>This variable records the level of fluency in a Black language of the individual household member, specifically recording whether the individual can speak, read or write in said Black language.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V21" name="OTHER" files="F1" intrvl="discrete">
  <labl>Literacy - other language</labl>
  <imputation>Literacy - other language</imputation>
  <security>Literacy - other language</security>
  <embargo>Literacy - other language</embargo>
  <respUnit>Literacy - other language</respUnit>
  <qstn>
    <qstnLit>12. Language and literacy: Indicate with crosses whether each person can SPEAK (communicate in), READ and/or WRITE the following languages.</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>Not applicable</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Speak only</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Read and write</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Speak, read and write</labl>
  </catgry>
  <txt>This variable records the level of fluency in any other language of the individual household member, specifically recording whether the individual can speak, read or write in said other language.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V22" name="HHLANG1" files="F1" intrvl="discrete">
  <labl>First home language</labl>
  <imputation>First home language</imputation>
  <security>First home language</security>
  <embargo>First home language</embargo>
  <respUnit>First home language</respUnit>
  <qstn>
    <qstnLit>State which language(s) each person normally speaks at HOME.</qstnLit>
    <postQTxt>If more than one language is given against (2), which does each person speak THE MOST? See instruction 2g for blacks.</postQTxt>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Afrikaans</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>English</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Dutch</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>German</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Greek</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Italian</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Portugese</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>French</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Tamil</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Hindi</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Telegu</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Gujarati</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Urdu</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Chinese</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Xhosa</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Zulu</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Swazi</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>South Ndebele</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>North Ndebele</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>North Sotho</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>South Sotho</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Tswana</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Shangaan/Tsonga</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Venda</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Any other language</labl>
  </catgry>
  <txt>This variable records the first language normally spoken by the individual at home.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V23" name="HHLANG2" files="F1" intrvl="discrete">
  <labl>Second home language</labl>
  <imputation>Second home language</imputation>
  <security>Second home language</security>
  <embargo>Second home language</embargo>
  <respUnit>Second home language</respUnit>
  <qstn>
    <qstnLit>State which language(s) each person normally speaks at HOME.</qstnLit>
    <postQTxt>If more than one language is given against (2), which does each person speak THE MOST? See instruction 2g for blacks.</postQTxt>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Afrikaans</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>English</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Dutch</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>German</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Greek</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Italian</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Portugese</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>French</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Tamil</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Hindi</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Telegu</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Gujarati</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Urdu</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Chinese</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Xhosa</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Zulu</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Swazi</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>South Ndebele</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>North Ndebele</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>North Sotho</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>South Sotho</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Tswana</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Shangaan/Tsonga</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Venda</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Any other language</labl>
  </catgry>
  <txt>This variable records the second language normally spoken by the individual at home.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V24" name="BOTH" files="F1" intrvl="discrete">
  <labl>Both home languages spoken equally or not</labl>
  <imputation>Both home languages spoken equally or not</imputation>
  <security>Both home languages spoken equally or not</security>
  <embargo>Both home languages spoken equally or not</embargo>
  <respUnit>Both home languages spoken equally or not</respUnit>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>Not applicable</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>To the same extent</labl>
    <catStat type="invd"/>
  </catgry>
  <notes>More information on this variable is required from the data producer</notes>
  <txt>This variable records to what extent the first and second home languages are spoken.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V25" name="EDUCATE1" files="F1" intrvl="discrete">
  <labl>Level of education</labl>
  <imputation>Level of education</imputation>
  <security>Level of education</security>
  <embargo>Level of education</embargo>
  <respUnit>Level of education</respUnit>
  <qstn>
    <qstnLit>13. Level of education: State –
- Highest school standard passed
- ALL DEGREES, DIPLOMAS and CERTIFICATES already obtained and specify directions, e.g. BSc (Mech.ENG), B.Com (Acc)</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>None</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Grade 1, 2 and Std 1</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Std2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Std3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Std4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Std5</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Std6</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Std7</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Std8</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Std9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Std10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Bachelor's 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 with Std 10</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Diploma with Std 9 or 8</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Diploma with Std 7 or lower</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Bachelor's Degree with diploma/certificate</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>Master's Degree with diploma/certificate</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>Doctor's degree with diploma/certificate</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Unspecified, but applicable</labl>
  </catgry>
  <txt>This variable records the highest completed education level of the individual household member.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V26" name="EDUCATE2" files="F1" intrvl="discrete">
  <labl>Nature of education</labl>
  <imputation>Nature of education</imputation>
  <security>Nature of education</security>
  <embargo>Nature of education</embargo>
  <respUnit>Nature of education</respUnit>
  <qstn>
    <qstnLit>13. Level of education: State -
- Highest school standard passed
- ALL DEGREES, DIPLOMAS and CERTIFICATES already obtained and specify directions, e.g. BSc (Mech.ENG), B.Com (Acc)</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>No post-school qualifications</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Fine arts</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Sciences</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Agriculture, forestry and fishing - General qualifications</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Agricultural management</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Agricultural engineering</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Forestry</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Fishing</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Mining, quarrying and metallurgy- general qualifications</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Mine engineering</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Mine management</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Specialisation in mining</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Mechanical engineer</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Civil and structural engineer</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Chemical engineer</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Electrical and electronical engineer</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Other engineer nec</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Architecture</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>Surveying</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>Quantity surveying</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Town and regional planning</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Production management</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Artisan, chraftmanship</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>General commerce qualifications</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Specialisation in commerce</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Public administration</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>Legal pratice</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>Medical practitioner</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>Auxiliary medical practitioner</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>Nursing and midwifery</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Dentistry</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Dispensing Chemistry</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Other medical qualifications</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Veterinary science</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>General education qualifications</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>Physical education</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>Nursery education</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>Special education</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>Other education - Technical, commerce, art, domestic science</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>Librarianship</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Music</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Speech, drama and opera</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Other cultural qualifications</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>Theology</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>Social welfare and personnel</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>Domestic science</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>General transport qualifications</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>Security and defence</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>Non technical trades</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>Qualifications unspecified</labl>
  </catgry>
  <txt>This variable records the area of study/education for the individual household member.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V27" name="CEB" files="F1" intrvl="discrete">
  <labl>Number of children ever born</labl>
  <imputation>Number of children ever born</imputation>
  <security>Number of children ever born</security>
  <embargo>Number of children ever born</embargo>
  <respUnit>Number of children ever born</respUnit>
  <qstn>
    <qstnLit>14. Only females who have given birth – State number of children:
- EVER born alive</qstnLit>
  </qstn>
  <universe>Only females who have given birth</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records the number of children ever born to females who have given birth.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V28" name="CS" files="F1" intrvl="discrete">
  <labl>Children born during the past year</labl>
  <imputation>Children born during the past year</imputation>
  <security>Children born during the past year</security>
  <embargo>Children born during the past year</embargo>
  <respUnit>Children born during the past year</respUnit>
  <qstn>
    <qstnLit>14. Only females who have given birth – State number of children:
- Born alive SINCE 7 MAY 1979</qstnLit>
  </qstn>
  <universe>Only females who have given birth</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records the number of live births since 7 MAY 1979 (i.e. during the last year).</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V29" name="CD" files="F1" intrvl="discrete">
  <labl>Children died during the past year</labl>
  <imputation>Children died during the past year</imputation>
  <security>Children died during the past year</security>
  <embargo>Children died during the past year</embargo>
  <respUnit>Children died during the past year</respUnit>
  <qstn>
    <qstnLit>14. Only females who have given birth - State number of children:
- Who DIED UNDER 1 YEAR since 7 May 1979</qstnLit>
  </qstn>
  <universe>Only females who have given birth</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records the number of children who died under 1 year old since 7 May 1979 (i.e. during the last year).</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V30" name="SPORT1R" files="F1" intrvl="discrete">
  <labl>First sport - type</labl>
  <imputation>First sport - type</imputation>
  <security>First sport - type</security>
  <embargo>First sport - type</embargo>
  <respUnit>First sport - type</respUnit>
  <qstn>
    <qstnLit>15. Sport and recreation: - State in order of priority:
- REGULAR sport and recreation activities</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>None</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Rugby</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Soccer</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Bowls</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Ball games played through a ring</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Cricket</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Hockey</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Gholf</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Other ball games played with a bat</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Tennis</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Other games played with a net and a racket</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Games with a net without a racket</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Athletics</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Gymnastics</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Trampoline sport</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Body building, keep fit exercises and weight lifting</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Jogging</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Walking</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>Contact sport eg Boxing</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>Fencing</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Yoke-pin and Horseshoe trowing</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Shooting games</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Boating and skiing</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Swimming</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Angling</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Parachuting</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>Hang-gliding</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>Other aerial sport</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>Motor racing</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>Go-karts</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Stock car racing</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Other motor sport</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Cycling</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Equestrian sport</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>Ice skating, ice hockey and snow skiing</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>Rollerskating</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>Dancing</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>Other sport activities</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>Stamp collecting</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>Coin collecting</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Collection of antiques</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Other collecting</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Card games</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>Chess</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>Knitting and crocheting</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>Arts and crafts</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>Wood and metal work</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>Model building</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>Painting</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>Acting</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Playing music</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Listening to music</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Reading</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>Watching TV and listening to the radio</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>Radio amateur</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>Other indoor recreation</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>Community work</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>Gardening</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>Aviculture, pigeon racing</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>Camping (including caravan)</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Other outdoor recreation</labl>
  </catgry>
  <txt>This variable records the regular sport and recreation activity of the individual household member (in this instance it is the first sport or recreation activity listed by the individual - since this is recorded in order of priority).</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V31" name="SPORT1C" files="F1" intrvl="discrete">
  <labl>First sport competition basis or not</labl>
  <imputation>First sport competition basis or not</imputation>
  <security>First sport competition basis or not</security>
  <embargo>First sport competition basis or not</embargo>
  <respUnit>First sport competition basis or not</respUnit>
  <qstn>
    <qstnLit>15. Which activities are on a COMPETITION BASIS</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>Not competitively</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Competitively</labl>
    <catStat type="invd"/>
  </catgry>
  <txt>This variable records whether the first sport or recreation activity is conducted on a competition basis.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V32" name="SPORT2R" files="F1" intrvl="discrete">
  <labl>Second sport - type</labl>
  <imputation>Second sport - type</imputation>
  <security>Second sport - type</security>
  <embargo>Second sport - type</embargo>
  <respUnit>Second sport - type</respUnit>
  <qstn>
    <qstnLit>15. Sport and recreation: - State in order of priority:
- REGULAR sport and recreation activities</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>None</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Rugby</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Soccer</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Bowls</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Ball games played through a ring</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Cricket</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Hockey</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Gholf</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Other ball games played with a bat</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Tennis</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Other games played with a net and a racket</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Games with a net without a racket</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Athletics</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Gymnastics</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Trampoline sport</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Body building, keep fit exercises and weight lifting</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Jogging</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Walking</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>Contact sport eg Boxing</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>Fencing</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Yoke-pin and Horseshoe trowing</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Shooting games</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Boating and skiing</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Swimming</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Angling</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Parachuting</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>Hang-gliding</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>Other aerial sport</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>Motor racing</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>Go-karts</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Stock car racing</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Other motor sport</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Cycling</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Equestrian sport</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>Ice skating, ice hockey and snow skiing</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>Rollerskating</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>Dancing</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>Other sport activities</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>Stamp collecting</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>Coin collecting</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Collection of antiques</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Other collecting</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Card games</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>Chess</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>Knitting and crocheting</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>Arts and crafts</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>Wood and metal work</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>Model building</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>Painting</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>Acting</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Playing music</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Listening to music</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Reading</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>Watching TV and listening to the radio</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>Radio amateur</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>Other indoor recreation</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>Community work</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>Gardening</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>Aviculture, pigeon racing</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>Camping (including caravan)</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Other outdoor recreation</labl>
  </catgry>
  <txt>This variable records the regular sport and recreation activity of the individual household member (in this instance it is the second sport or recreation activity listed by the individual - since this is recorded in order of priority).</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V33" name="SPORT2C" files="F1" intrvl="discrete">
  <labl>Second sport - competition basis or not</labl>
  <imputation>Second sport - competition basis or not</imputation>
  <security>Second sport - competition basis or not</security>
  <embargo>Second sport - competition basis or not</embargo>
  <respUnit>Second sport - competition basis or not</respUnit>
  <qstn>
    <qstnLit>15. Which activities are on a COMPETITION BASIS</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>Not competitively</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Competitively</labl>
    <catStat type="invd"/>
  </catgry>
  <txt>This variable records whether the second sport or recreation activity is conducted on a competition basis.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V34" name="POW" files="F1" intrvl="contin">
  <labl>Place of work</labl>
  <imputation>Place of work</imputation>
  <security>Place of work</security>
  <embargo>Place of work</embargo>
  <respUnit>Place of work</respUnit>
  <qstn>
    <preQTxt>16. Only persons who live, work, study or attend school in cities. – See instruction 2h.</preQTxt>
    <qstnLit>16. TOWNSHIP/SUBURB where person works/studies/attends school</qstnLit>
  </qstn>
  <universe>Only persons who live, work, study or attend school in cities.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records the township/suburb where the individual household member works, studies or attends school.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V35" name="TRNSMODE" files="F1" intrvl="discrete">
  <labl>Transport: means of transport</labl>
  <imputation>Transport: means of transport</imputation>
  <security>Transport: means of transport</security>
  <embargo>Transport: means of transport</embargo>
  <respUnit>Transport: means of transport</respUnit>
  <qstn>
    <preQTxt>16. Only persons who live, work, study or attend school in cities. - See instruction 2h.</preQTxt>
    <qstnLit>16. MAIN MODE OF TRANSPORT to said area.</qstnLit>
    <postQTxt>(If "car" also state whether driver or passenger)</postQTxt>
  </qstn>
  <universe>Only persons who live, work, study or attend school in cities.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>Unspecified but applicable</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>By foot</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Bicycle</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Motorcycle</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Driver of motorcar</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Passenger of motorcar</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Bus</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Truck</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Train</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Other</labl>
  </catgry>
  <txt>This variable records the main mode of transport used by the individual household member to their place of work, study or school.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V36" name="TIME" files="F1" intrvl="contin">
  <labl>Time of departure to and from said place</labl>
  <imputation>Time of departure to and from said place</imputation>
  <security>Time of departure to and from said place</security>
  <embargo>Time of departure to and from said place</embargo>
  <respUnit>Time of departure to and from said place</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <notes>More information on this variable is required from the data producer</notes>
  <varFormat type="numeric"/>
</var>
<var ID="V37" name="OCCUP80" files="F1" intrvl="discrete">
  <labl>Occupation of person 1980</labl>
  <imputation>Occupation of person 1980</imputation>
  <security>Occupation of person 1980</security>
  <embargo>Occupation of person 1980</embargo>
  <respUnit>Occupation of person 1980</respUnit>
  <qstn>
    <qstnLit>17.Occupation: i.e. nature of work done. 
- Now (6 May 1980)</qstnLit>
    <postQTxt>See instruction 2i. NB: If unemployed (i.e. looking for work) state last occupation.</postQTxt>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>Not applicable</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>CHEMISTS</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>PHYSICISTS</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>PHYSICAL SCIENTISTS NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>PHYSICAL SCIENCE TECHNICIANS</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>ARCHITECTS AND TOWN PLANNERS</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>QUANTITY SURVEYORS</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>CIVIL ENGINEERS</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>ELECTRICAL AND ELECTRONICS ENGINEERS</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>MECHANICAL ENGINEERS</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>CHEMICAL ENGINEERS</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>METALLURGISTS</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>MINING ENGINEERS</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>ENGINEERS NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>SURVEYORS</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>DRAUGHTSMEN</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>ENGINEERING TECHNICIAN</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>AIRCRAFT PILOTS, NAVIGATORS AND FLIGHT ENGINEERS</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>SHIPS' DECK OFFICERS AND PILOTS</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>SHIPS' ENGINEERS</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>BIOLOGISTS, BOTANISTS, ZOOLOGISTS AND RELATED SCIENTISTS</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>BACTERIOLOGISTS, PATHOLOGISTS, PHARMACOLOGISTS AND RELATED SCIENTISTS</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>AGRONOMISTS, HORTICULTURISTS AND RELATED SCIENTISTS</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>LIFE SCIENCE TECHNICIANS,NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>MEDICAL DOCTORS</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>DENTISTS</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>VETERINARIANS</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>PHARMACISTS</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>PHARMACEUTICAL ASSISTANT</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>DIETITIANS AND PUBLIC HEALTH NUTRITIONISTS</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>PROFESSIONAL NURSES</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>NURSING PERSONNEL, NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>OPTOMETRISTS AND OPTICIANS</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>PHYSIOTHERAPISTS AND OCCUPATIONAL THERAPISTS, INCLUDING MASSEURS AND REMEDIAL GYMNASTS</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>RADIOGRAPHERS - DIAGNOSTIC AND THERAPEUTIC</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>MEDICAL, DENTAL AND RELATED WORKERS, NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>STATISTICIANS, MATHEMATICIANS, ACTUARIES, DEMOGRAPHERS AND BIOMETRICIANS</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>SYSTEMS ANALYSTS AND COMPUTER PROGRAMMERS</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>ECONOMISTS</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>PUBLIC ACCOUNTANTS</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>LAWYERS</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>JUDGES</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>LAW ADVISERS, ADMINISTRATORS OF ESTATES AND OTHER LEGAL OCCUPATIONS, N.E.C.</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>PROFESSORS, LECTURERS AND TEACHERS AT UNIVERSITY, TEACHERS' TRAINING COLLEGE AND TECHNICAL AND OTHER COLLEGE FOR ADVANCED TECHNICAL TRAINING</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>TEACHERS, SECONDARY, PRIMARY OR PRE-PRIMARY EDUCATION</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>SCHOOL PRINCIPALS, SCHOOL INSPECTORS, EDUCATIONAL ADVISERS AND TEACHERS,NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>MINISTERS OF RELIGION INCLUDING MISSIONARIES ORDAINED AS MINISTERS OF RELIGION</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>WORKERS IN RELIGION, NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>LIBRARIANS, ARCHIVISTS AND CURATORS</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>SOCIAL WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>SOSIOLOGISTS OCCUPATIONAL SPECIALISTS AND RELATED WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>AUTHORS, JOURNALISTS AND RELATED WORE</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>SCULPTORS, PAINTERS AND RELATED ARTISTS</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>COMMERCIAL ARTISTS AND DESIGNERS</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>PHOTOGRAPHERS AND CAMERAMEN</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>COMPOSERS, DANCERS AND RELATED WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>ACTORS AND OTHER PERFORMERS, STAGE DIRECTORS AND PRODUCERS (PERFORMING ARTS)</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>ATHLETES, SPORTSMEN AND TRAINERS</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>LEGISLATIVE OFFICIALS</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>GOVERNMENT ADMINISTRATORS</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>GENERAL MANAGERS</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>PRODUCTION MANAGERS (EXCEPT FARM)</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>SALES MANAGERS</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>ADMINISTRATIVE MANAGERS</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>TRANSPORT OPERATIONS MANAGERS</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>CREDIT MANAGERS</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>OTHER MANAGERS, NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>CLERICAL SUPERVISORS</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>EXECUTIVE OFFICIALS (CONTROL LEVEL)</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>STENOGRAPHERS, TYPISTS AND PUNCHING MACHINE OPERATORS</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>CARD AND TAPE-PUNCHING/ENCODER MACHINE OPERATORS</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>BOOKKEEPERS</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>CASHIERS, TELLERS AND POST OFFICE COUNTER CLERKS</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>CREDIT CONTROLLERS</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>COST, SALARY, WAGES AND FINANCE CLERKS</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>BOOKKEEPING,CALCULATING AND ADDING MACHINE OPERATORS</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>DATA PROCESSING MACHINE OPERATORS</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>RAILWAY STATION MASTERS (ONLY WHITE MEN)</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>POSTMASTERS</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>TRANSPORT AND COMMUNICATIONS SUPERVISORS, NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>TRANSPORT CONDUCTORS AND TICKET EXAMINERS</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>MAIL DISTRIBUTION/SORTING CLERKS, POSTMEN AND MESSENGERS</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>TELEPHONE AND TELEGRAPH OPERATORS, INCLUDING SHIP'S/FLIGHT RADIO OFFICERS</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>STOCK CLERKS</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>CORRESPONDENCE AND REPORTING CLERKS</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>RECEPTIONIST AND TRAVEL AGENCY CLERKS</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>CLERKS NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>MANAGERS (WHOLESALE AND RETAIL TRADE)</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>WORKING PROPRIETORS (WHOLESALE AND RETAIL TRADE)</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>SALES SUPERVISORS</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>BUYERS</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>TECHNICAL/ENGINEERING SALESMEN AND TECHNICAL SERVICE ADVISERS</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>COMMERCIAL TRAVELLERS AND MANUFACTURER'S AGENT</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>INSURANCE, REAL ESTATE AND SECURITIES SALESMEN</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>BUSINESS SERVICES SALESMEN</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>AUCTIONEERS, APPRAISERS AND MARKET AGENTS</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>BROKERS AND AGENTS, NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>SALESMEN, SHOP ASSISTANTS AND DEMONSTRATORS (WHOLESALE/RETAIL TRADE, MANUFACTURING)</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>STREET VENDORS, CANVASSERS AND NEWSVENDORS</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>SALES WORKERS, NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>MANAGERS (CATERING AND ACCOMMODATION SERVICES)</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>WORKING PROPRIETORS (CATERING AND ACCOMMODATION SERVICES)</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>HOUSEKEEPING AND RELATED SERVICE SUPERVISORS</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>COOKS</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>WAITERS, BARTENDERS AND RELATED WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>DOMESTIC SERVANTS - PRIVATE HOUSEHOLD NOT ON FARM</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>DOMESTIC SERVANTS - PRIVATE HOUSEHOLD ON FARM</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>CHAMBERMAIDS, ROOM AND BEDDING SERVANTS</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>BUILDING CARETAKERS</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>CHARWORKERS, CLEANERS AND RELATED WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>LAUNDERERS, DRY-CLEANERS AND PRESSERS</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>HAIRDRESSERS, BARBERS, BEAUTICIANS AND RELATED WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>FIRE FIGHTERS</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>UNIFORM PERSONNEL</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>TRAFFIC OFFICERS, PARKING METER ATTENDANTS</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>PROTECTIVE SERVICE WORKERS, NOT ELSEWHERE CLASSIFIED INCLUDING PRISON WARDENS, STORE DETECTIVES, WATCHMEN AND LIFEGUARDS</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>UNDERTAKERS AND EMBALMERS</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>AIR HOSTESSES,GUIDES, LIFT ATTENDANTS, ETC.</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>FARMERS</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>FARM MANAGERS AND SUPERVISORS</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>GENERAL FARM WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>FARM WORKERS (GENERAL, PART-TIME AND SEASONAL)</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>FARM MACHINERY OPERATORS</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>OTHER FARM WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>MARKET GARDEN AND NURSERY WORKERS AND GARDENERS</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>OTHER AGRICULTURAL AND ANIMAL HUSBANDRY WORKERS, NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>FORESTRY WORKERS (INCLUDING LOGGING)</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>FISHERMEN, TRAWLER MEN, SEAL HUNTERS, ETC.</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>HUNTERS, GAME WARDENS, GAME RESERVATION WORKERS AND RELATED WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>MINING, QUARRYING AND WELL DRILLING</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>METAL PROCESSING</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>CHEMICAL AND RELATED MATERIALS PROCESSING</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>MANUFACTURING OF MACHINERY AND METAL PRODUCTS</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>MANUFACTURING OF ELECTRICAL EQUIPMENT</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>FABRICATION OF PRODUCTS OF PAPER, PLASTICS, RUBBER, CHEMICAL AND SYNTHETIC MATERIALS</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>FOOD AND BEVERAGES PROCESSING</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>PRODUCTION OF TEXTILES AND CLOTHING MANUFACTURING</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>CONSTRUCTION WORK</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>OTHER PRODUCTION SUPERVISORS AND GENERAL FOREMEN</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>ROCKBREAKERS/GENERAL MINERS</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>QUARRY MEN</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>DRILLING MACHINE OPERATORS (MINES AND QUARRIES)</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>OTHER MINING - MACHINE OPERATORS</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>STOPE/DEVELOPMENT PRODUCTION WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>LASHING AND TRAMMING WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>OTHER MINERS AND QUARRY MEN</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>ALLUVIAL DIAMOND DIGGERS</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>MINERAL AND STONE TREATERS</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>WELL DRILLERS, BORERS (OIL, GAS AND WATER)</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>METAL SMELTING, CONVERTING AND REFINING FURNACE MEN</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>METAL ROLLING MILL WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>METAL MELTERS AND REHEATERS</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>METAL CASTERS</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>METAL MOULDERS AND CORE MAKERS</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>METAL ANNEALERS, TEMPERERS AND CASE HARDENERS</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>METAL DRAWERS AND EXTRUDERS</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>METAL PLATERS AND COATERS</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>METAL PROCESSORS NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>WOOD TREATERS</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>SAWYERS, PLYWOOD MAKERS AND RELATED WOOD WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>PAPER PULP PREPARERS AND PAPER MAKERS</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>CRUSHERS, GRINDERS AND MIXERS</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>COOKERS, ROASTERS AND RELATED HEAT TREATERS</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>FILTER AND SEPARATOR OPERATORS</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>STILL AND REACTOR OPERATORS</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>PETROLEUM REFINING WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>CHEMICAL PROCESSORS AND RELATED WORKERS, NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>FIBRE PREPARERS</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>SPINNERS AND WINDERS</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>WEAVING AND KNITTING MACHINE SETTERS AND PATTERN CARD PREPARERS</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>WEAVERS AND RELATED WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>KNITTERS</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>BLEACHERS DYERS AND TEXTILE PRODUCT FINISHERS</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>BRAID MAKERS, CROCKETERS, FELT HOOD FORMERS AND OTHER RELATED WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>TANNERS, FELL MONGERS AND PELT DRESSERS</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>GRAIN MILLERS AND RELATED WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>SUGAR PROCESSORS AND REFINERS</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>BUTCHERS AND MEAT PREPARERS</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>FOOD PRESERVERS</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>DAIRY PRODUCT PROCESSORS</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>BAKERS, PASTRY COOKS AND CONFECTIONERY MAKERS</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>BREWERS, WINE AND BEVERAGE MAKERS</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>FOOD AND BEVERAGE PROCESSORS, NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>CIGARETTE MAKERS</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>TOBACCO PREPARERS AND TOBACCO PRODUCT MAKERS, NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>TAILORS AND DRESSMAKERS</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>FUR TAILORS AND RELATED WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>MILLINERS AND HAT MAKERS</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>PATTERNMAKERS AND CUTTERS</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>SEWERS AND EMBROIDERERS</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>UPHOLSTERERS AND RELATED WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>SAIL, TENT AND AWNING MAKERS</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>SHOEMAKERS AND SHOE REPAIRERS</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>SHOE CUTTERS, LASTERS, SEWERS AND RELATED WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>LEATHER GOODS MAKERS, EXCEPT SHOES, GARMENTS AND GLOVES</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>CABINETMAKERS</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>WOODWORKING-MACHINE OPERATORS</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>COACH BUILDERS, VENEER APPLIERS, FURNITURE FINISIERS AND POLISHERS</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>STONE CUTTERS AND CARVERS</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>BLACKSMITHS AND FORGING-PRESS OPERATORS</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>TOOLMAKERS, METAL PATTERNMAKERS AND METAL MARKERS</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>MACHINE TOOL SETTER-OPERATORS (INCLUDING THOSE PERFORMING SIMILAR TASKS IN MACHINING OF PLASTICS AND METAL SUBSTITUTES)</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>MACHINE TOOL OPERATORS</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>METAL GRINDERS, POLISHERS AND TOOL SHARPENERS</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>LOCKSMITHS, METAL SPINNERS AND OTHER RELATED WORKERS, N.E.C.</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>MACHINERY FITTERS AND MACHINE ASSEMBLERS</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>WATCH, CLOCK AND PRECISION - INSTRUMENT MAKERS</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>MOTOR VEHICLE MECHANICS</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>AIRCRAFT ENGINE MECHANICS</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>DIESEL ENGINE MECHANICS (EXCEPT MOTOR VEHICLES)</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>OFFICE MACHINES MECHANIC</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>OILERS AND GREASERS (EXCEPT SHIP'S ENGINES)</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>MECHANICS AND OTHER RELATED WORKERS, N.E.C.</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>ELECTRICAL AND ELECTRONIC FITTERS</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>ELECTRICAL AND ELECTRONIC EQUIPMENT ASSEMBLERS</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>RADIO AND TELEVISION REPAIRMEN</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>ELECTRICAL WIRE MEN, BUILDINGS AND OTHER CONSTRUCTION</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>OTHER ELECTRICAL WIRE MEN</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>TELEPHONE AND TELEGRAPH INSTALLERS</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>ELECTRIC LINEMEN AND CABLE JOINTERS</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>ELECTRICAL AND ELECTRONIC WORKERS, N.E.C.</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>BROADCASTING STATION OPERATORS AND PROJECTIONISTS</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>PLUMBERS AND PIPE FITTERS, CONSTRUCTION</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>PLUMBERS AND PIPE FITTERS, NOT CONSTRUCTION</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>WELDERS AND FLAME CUTTERS</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>VEHICLE SHEET-METAL WORKERS, INCLUDING PANEL BEATERS</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>SHEET METAL WORKERS, CONSTRUCTION</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>BOILERMAKERS, PLATERS, BOILER SMITHS</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>SHEET-METAL WORKERS, N.E.C.</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>STRUCTURAL METAL WORK FABRICATORS</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>STRUCTURAL METAL WORK ERECTORS, CONSTRUCTION</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>OTHER STRUCTURAL METAL WORKERS, N.E.C.</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>JEWELLERY AND PRECIOUS-METAL WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>GLASS FORMERS, CUTTERS GRINDERS AND FINISHERS</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>POTTERS AND RELATED CLAY AND ABRASIVE FORMERS</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>GLASS AND CERAMICS KILN MEN</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>GLASS ENGRAVERS AND ETCHERS AND GLASS AND CERAMICS PAINTERS AND DECORATORS</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>OTHER RELATED WORKERS, INCLUDING GLASS OR CLAY MIXERS,BATCHMEN, CERAMICS COLOUR OR GLAZE MIXERS FIBREGLASS MAKERS, PIPE MACHINE ATTENDANTS, FILTER PRESS OPERATORS, ETC.</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>RUBBER AND PLASTICS PRODUCT MAKERS</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>TYRE MAKERS AND VULCANISERS</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>PAPER-AND-PAPERBOARD PRODUCTS MAKERS</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>COMPOSITORS AND TYPESETTERS</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>PRINTING PRESSMEN</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>STEREOTYPERS AND ELECTROTYPERS</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>PRINTING ENGRAVERS (EXCEPT PHOTO-ENGRAVERS)</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>PHOTO-ENGRAVERS</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>BOOKBINDERS AND RELATED WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>PHOTOGRAPHIC DARK-ROOM WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>BLOCK PRINTERS, TEXTILE PRINTERS AND OTHER RELATED WORKERS, N.E.C.</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>PAINTERS, CONSTRUCTION</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>PAINTERS - SHIPS, RAILWAY COACHES AND WAGONS</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>SPRAY PAINTERS AND PANEL BEATERS</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>OTHER PAINTERS, N.E.C. - HAND/DIP/SPRAY PAINTERS, OPERATORS OF PAINTING EQUIPMENT TO COAT NEW MOTOR VEHICLES ON A CONVEYOR, STREET PAINT-STRIPING MACHINE OPERATORS, ETC.</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>MAKERS OF CONCRETE CEMENT AND ASBESTOS-CEMENT PRODUCTS</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>OTHER PRODUCTION AND RELATED WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>BRICKLAYERS, STONEMASONS AND TILE SETTERS</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>REINFORCED CONCRETERS AND TERAZZO WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>ROOFERS</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>CARPENTERS, JOINERS AND PARQUETRY WORKERS, CONSTRUCTION</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>OTHER CARPENTERS AND JOINERS (WOOD), MINES AND SHIPS</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>PLASTERERS</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>GLAZIERS, CONSTRUCTION</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>VEHICLE GLAZIER, ETC.</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>CONSTRUCTION WORKERS, N.E.C.</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>ELECTRIC POWER GENERATING MACHINERY OPERATORS</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>STATIONARY ENGINE AND RELATED EQUIPMENT OPERATORS, N.E.C.</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>DOCKERS, STEVEDORES</labl>
  </catgry>
  <catgry>
    <catValu>267</catValu>
    <labl>RAILWAY, AIRCRAFT AND ROAD VEHICLE LOADERS/UNLOADERS</labl>
  </catgry>
  <catgry>
    <catValu>268</catValu>
    <labl>PACKERS AND LABELLERS</labl>
  </catgry>
  <catgry>
    <catValu>269</catValu>
    <labl>OTHER FREIGHT AND BAGGAGE HANDLERS</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>RIGGERS AND CABLE SPLICERS</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>CRANE AND HOIST OPERATORS</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>EARTH-MOVING AND RELATED MACHINERY OPERATORS</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>EARTH-MOVING AND RELATED MACHINERY OPERATORS, MINING AND QUARRYING</labl>
  </catgry>
  <catgry>
    <catValu>274</catValu>
    <labl>MATERIAL HANDLING EQUIPMENT OPERATORS, N.E.C.</labl>
  </catgry>
  <catgry>
    <catValu>275</catValu>
    <labl>SHIPS' DECK RATINGS, BARGE CREWS AND BOATMEN</labl>
  </catgry>
  <catgry>
    <catValu>276</catValu>
    <labl>SHIPS' ENGINE ROOM RATINGS</labl>
  </catgry>
  <catgry>
    <catValu>277</catValu>
    <labl>RAILWAY ENGINE DRIVERS AND FIREMEN</labl>
  </catgry>
  <catgry>
    <catValu>278</catValu>
    <labl>RAILWAY BRAKEMEN, SIGNALMEN AND SHUNTERS</labl>
  </catgry>
  <catgry>
    <catValu>279</catValu>
    <labl>TAXI DRIVERS</labl>
  </catgry>
  <catgry>
    <catValu>280</catValu>
    <labl>MOTOR BUS DRIVERS</labl>
  </catgry>
  <catgry>
    <catValu>281</catValu>
    <labl>LORRY, TRUCK AND VAN DRIVERS</labl>
  </catgry>
  <catgry>
    <catValu>282</catValu>
    <labl>OTHER MOTOR VEHICLE DRIVERS</labl>
  </catgry>
  <catgry>
    <catValu>283</catValu>
    <labl>TRANSPORT EQUIPMENT OPERATORS, N.E.C.</labl>
  </catgry>
  <catgry>
    <catValu>284</catValu>
    <labl>LABOURERS, NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>285</catValu>
    <labl>OCCUPATION UNSPECIFIED</labl>
  </catgry>
  <catgry>
    <catValu>286</catValu>
    <labl>WORKERS EMPLOYED - OCCUPATION INDETERMINABLE OR UNSPECIFIED</labl>
  </catgry>
  <catgry>
    <catValu>287</catValu>
    <labl>KEEPING HOUSE</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>CHILD, NOT SCHOLAR OR STUDENT</labl>
  </catgry>
  <catgry>
    <catValu>289</catValu>
    <labl>SCHOLAR/STUDENT</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>INMATE OF INSTITUTION - NO OCCUPATION STATED</labl>
  </catgry>
  <catgry>
    <catValu>291</catValu>
    <labl>PENSIONER</labl>
  </catgry>
  <catgry>
    <catValu>292</catValu>
    <labl>OTHER PERSONS NOT ECONOMICALLY ACTIVE</labl>
  </catgry>
  <catgry>
    <catValu>293</catValu>
    <labl>FOREIGN VISITORS</labl>
  </catgry>
  <txt>This variable records the occupation of the individual respondent in the year 1980 (6 May 1980).</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V38" name="OCCUP75" files="F1" intrvl="discrete">
  <labl>Occupation of person 1975</labl>
  <imputation>Occupation of person 1975</imputation>
  <security>Occupation of person 1975</security>
  <embargo>Occupation of person 1975</embargo>
  <respUnit>Occupation of person 1975</respUnit>
  <qstn>
    <qstnLit>17.Occupation: i.e. nature of work done. 
- 5 years ago (May 1975)</qstnLit>
    <postQTxt>See instruction 2i. NB: If unemployed (i.e. looking for work) state last occupation.</postQTxt>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>Not applicable</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>CHEMISTS</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>PHYSICISTS</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>PHYSICAL SCIENTISTS NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>PHYSICAL SCIENCE TECHNICIANS</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>ARCHITECTS AND TOWN PLANNERS</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>QUANTITY SURVEYORS</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>CIVIL ENGINEERS</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>ELECTRICAL AND ELECTRONICS ENGINEERS</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>MECHANICAL ENGINEERS</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>CHEMICAL ENGINEERS</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>METALLURGISTS</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>MINING ENGINEERS</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>ENGINEERS NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>SURVEYORS</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>DRAUGHTSMEN</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>ENGINEERING TECHNICIAN</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>AIRCRAFT PILOTS, NAVIGATORS AND FLIGHT ENGINEERS</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>SHIPS' DECK OFFICERS AND PILOTS</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>SHIPS' ENGINEERS</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>BIOLOGISTS, BOTANISTS, ZOOLOGISTS AND RELATED SCIENTISTS</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>BACTERIOLOGISTS, PATHOLOGISTS, PHARMACOLOGISTS AND RELATED SCIENTISTS</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>AGRONOMISTS, HORTICULTURISTS AND RELATED SCIENTISTS</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>LIFE SCIENCE TECHNICIANS,NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>MEDICAL DOCTORS</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>DENTISTS</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>VETERINARIANS</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>PHARMACISTS</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>PHARMACEUTICAL ASSISTANT</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>DIETITIANS AND PUBLIC HEALTH NUTRITIONISTS</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>PROFESSIONAL NURSES</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>NURSING PERSONNEL, NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>OPTOMETRISTS AND OPTICIANS</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>PHYSIOTHERAPISTS AND OCCUPATIONAL THERAPISTS, INCLUDING MASSEURS AND REMEDIAL GYMNASTS</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>RADIOGRAPHERS - DIAGNOSTIC AND THERAPEUTIC</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>MEDICAL, DENTAL AND RELATED WORKERS, NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>STATISTICIANS, MATHEMATICIANS, ACTUARIES, DEMOGRAPHERS AND BIOMETRICIANS</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>SYSTEMS ANALYSTS AND COMPUTER PROGRAMMERS</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>ECONOMISTS</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>PUBLIC ACCOUNTANTS</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>LAWYERS</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>JUDGES</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>LAW ADVISERS, ADMINISTRATORS OF ESTATES AND OTHER LEGAL OCCUPATIONS, N.E.C.</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>PROFESSORS, LECTURERS AND TEACHERS AT UNIVERSITY, TEACHERS' TRAINING COLLEGE AND TECHNICAL AND OTHER COLLEGE FOR ADVANCED TECHNICAL TRAINING</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>TEACHERS, SECONDARY, PRIMARY OR PRE-PRIMARY EDUCATION</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>SCHOOL PRINCIPALS, SCHOOL INSPECTORS, EDUCATIONAL ADVISERS AND TEACHERS,NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>MINISTERS OF RELIGION INCLUDING MISSIONARIES ORDAINED AS MINISTERS OF RELIGION</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>WORKERS IN RELIGION, NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>LIBRARIANS, ARCHIVISTS AND CURATORS</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>SOCIAL WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>SOSIOLOGISTS OCCUPATIONAL SPECIALISTS AND RELATED WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>AUTHORS, JOURNALISTS AND RELATED WORE</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>SCULPTORS, PAINTERS AND RELATED ARTISTS</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>COMMERCIAL ARTISTS AND DESIGNERS</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>PHOTOGRAPHERS AND CAMERAMEN</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>COMPOSERS, DANCERS AND RELATED WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>ACTORS AND OTHER PERFORMERS, STAGE DIRECTORS AND PRODUCERS (PERFORMING ARTS)</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>ATHLETES, SPORTSMEN AND TRAINERS</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>LEGISLATIVE OFFICIALS</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>GOVERNMENT ADMINISTRATORS</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>GENERAL MANAGERS</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>PRODUCTION MANAGERS (EXCEPT FARM)</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>SALES MANAGERS</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>ADMINISTRATIVE MANAGERS</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>TRANSPORT OPERATIONS MANAGERS</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>CREDIT MANAGERS</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>OTHER MANAGERS, NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>CLERICAL SUPERVISORS</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>EXECUTIVE OFFICIALS (CONTROL LEVEL)</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>STENOGRAPHERS, TYPISTS AND PUNCHING MACHINE OPERATORS</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>CARD AND TAPE-PUNCHING/ENCODER MACHINE OPERATORS</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>BOOKKEEPERS</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>CASHIERS, TELLERS AND POST OFFICE COUNTER CLERKS</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>CREDIT CONTROLLERS</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>COST, SALARY, WAGES AND FINANCE CLERKS</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>BOOKKEEPING,CALCULATING AND ADDING MACHINE OPERATORS</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>DATA PROCESSING MACHINE OPERATORS</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>RAILWAY STATION MASTERS (ONLY WHITE MEN)</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>POSTMASTERS</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>TRANSPORT AND COMMUNICATIONS SUPERVISORS, NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>TRANSPORT CONDUCTORS AND TICKET EXAMINERS</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>MAIL DISTRIBUTION/SORTING CLERKS, POSTMEN AND MESSENGERS</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>TELEPHONE AND TELEGRAPH OPERATORS, INCLUDING SHIP'S/FLIGHT RADIO OFFICERS</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>STOCK CLERKS</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>CORRESPONDENCE AND REPORTING CLERKS</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>RECEPTIONIST AND TRAVEL AGENCY CLERKS</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>CLERKS NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>MANAGERS (WHOLESALE AND RETAIL TRADE)</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>WORKING PROPRIETORS (WHOLESALE AND RETAIL TRADE)</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>SALES SUPERVISORS</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>BUYERS</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>TECHNICAL/ENGINEERING SALESMEN AND TECHNICAL SERVICE ADVISERS</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>COMMERCIAL TRAVELLERS AND MANUFACTURER'S AGENT</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>INSURANCE, REAL ESTATE AND SECURITIES SALESMEN</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>BUSINESS SERVICES SALESMEN</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>AUCTIONEERS, APPRAISERS AND MARKET AGENTS</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>BROKERS AND AGENTS, NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>SALESMEN, SHOP ASSISTANTS AND DEMONSTRATORS (WHOLESALE/RETAIL TRADE, MANUFACTURING)</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>STREET VENDORS, CANVASSERS AND NEWSVENDORS</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>SALES WORKERS, NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>MANAGERS (CATERING AND ACCOMMODATION SERVICES)</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>WORKING PROPRIETORS (CATERING AND ACCOMMODATION SERVICES)</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>HOUSEKEEPING AND RELATED SERVICE SUPERVISORS</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>COOKS</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>WAITERS, BARTENDERS AND RELATED WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>DOMESTIC SERVANTS - PRIVATE HOUSEHOLD NOT ON FARM</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>DOMESTIC SERVANTS - PRIVATE HOUSEHOLD ON FARM</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>CHAMBERMAIDS, ROOM AND BEDDING SERVANTS</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>BUILDING CARETAKERS</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>CHARWORKERS, CLEANERS AND RELATED WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>LAUNDERERS, DRY-CLEANERS AND PRESSERS</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>HAIRDRESSERS, BARBERS, BEAUTICIANS AND RELATED WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>FIRE FIGHTERS</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>UNIFORM PERSONNEL</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>TRAFFIC OFFICERS, PARKING METER ATTENDANTS</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>PROTECTIVE SERVICE WORKERS, NOT ELSEWHERE CLASSIFIED INCLUDING PRISON WARDENS, STORE DETECTIVES, WATCHMEN AND LIFEGUARDS</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>UNDERTAKERS AND EMBALMERS</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>AIR HOSTESSES,GUIDES, LIFT ATTENDANTS, ETC.</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>FARMERS</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>FARM MANAGERS AND SUPERVISORS</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>GENERAL FARM WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>FARM WORKERS (GENERAL, PART-TIME AND SEASONAL)</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>FARM MACHINERY OPERATORS</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>OTHER FARM WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>MARKET GARDEN AND NURSERY WORKERS AND GARDENERS</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>OTHER AGRICULTURAL AND ANIMAL HUSBANDRY WORKERS, NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>FORESTRY WORKERS (INCLUDING LOGGING)</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>FISHERMEN, TRAWLER MEN, SEAL HUNTERS, ETC.</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>HUNTERS, GAME WARDENS, GAME RESERVATION WORKERS AND RELATED WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>MINING, QUARRYING AND WELL DRILLING</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>METAL PROCESSING</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>CHEMICAL AND RELATED MATERIALS PROCESSING</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>MANUFACTURING OF MACHINERY AND METAL PRODUCTS</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>MANUFACTURING OF ELECTRICAL EQUIPMENT</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>FABRICATION OF PRODUCTS OF PAPER, PLASTICS, RUBBER, CHEMICAL AND SYNTHETIC MATERIALS</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>FOOD AND BEVERAGES PROCESSING</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>PRODUCTION OF TEXTILES AND CLOTHING MANUFACTURING</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>CONSTRUCTION WORK</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>OTHER PRODUCTION SUPERVISORS AND GENERAL FOREMEN</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>ROCKBREAKERS/GENERAL MINERS</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>QUARRY MEN</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>DRILLING MACHINE OPERATORS (MINES AND QUARRIES)</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>OTHER MINING - MACHINE OPERATORS</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>STOPE/DEVELOPMENT PRODUCTION WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>LASHING AND TRAMMING WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>OTHER MINERS AND QUARRY MEN</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>ALLUVIAL DIAMOND DIGGERS</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>MINERAL AND STONE TREATERS</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>WELL DRILLERS, BORERS (OIL, GAS AND WATER)</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>METAL SMELTING, CONVERTING AND REFINING FURNACE MEN</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>METAL ROLLING MILL WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>METAL MELTERS AND REHEATERS</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>METAL CASTERS</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>METAL MOULDERS AND CORE MAKERS</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>METAL ANNEALERS, TEMPERERS AND CASE HARDENERS</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>METAL DRAWERS AND EXTRUDERS</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>METAL PLATERS AND COATERS</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>METAL PROCESSORS NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>WOOD TREATERS</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>SAWYERS, PLYWOOD MAKERS AND RELATED WOOD WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>PAPER PULP PREPARERS AND PAPER MAKERS</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>CRUSHERS, GRINDERS AND MIXERS</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>COOKERS, ROASTERS AND RELATED HEAT TREATERS</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>FILTER AND SEPARATOR OPERATORS</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>STILL AND REACTOR OPERATORS</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>PETROLEUM REFINING WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>CHEMICAL PROCESSORS AND RELATED WORKERS, NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>FIBRE PREPARERS</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>SPINNERS AND WINDERS</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>WEAVING AND KNITTING MACHINE SETTERS AND PATTERN CARD PREPARERS</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>WEAVERS AND RELATED WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>KNITTERS</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>BLEACHERS DYERS AND TEXTILE PRODUCT FINISHERS</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>BRAID MAKERS, CROCKETERS, FELT HOOD FORMERS AND OTHER RELATED WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>TANNERS, FELL MONGERS AND PELT DRESSERS</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>GRAIN MILLERS AND RELATED WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>SUGAR PROCESSORS AND REFINERS</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>BUTCHERS AND MEAT PREPARERS</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>FOOD PRESERVERS</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>DAIRY PRODUCT PROCESSORS</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>BAKERS, PASTRY COOKS AND CONFECTIONERY MAKERS</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>BREWERS, WINE AND BEVERAGE MAKERS</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>FOOD AND BEVERAGE PROCESSORS, NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>CIGARETTE MAKERS</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>TOBACCO PREPARERS AND TOBACCO PRODUCT MAKERS, NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>TAILORS AND DRESSMAKERS</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>FUR TAILORS AND RELATED WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>MILLINERS AND HAT MAKERS</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>PATTERNMAKERS AND CUTTERS</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>SEWERS AND EMBROIDERERS</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>UPHOLSTERERS AND RELATED WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>SAIL, TENT AND AWNING MAKERS</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>SHOEMAKERS AND SHOE REPAIRERS</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>SHOE CUTTERS, LASTERS, SEWERS AND RELATED WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>LEATHER GOODS MAKERS, EXCEPT SHOES, GARMENTS AND GLOVES</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>CABINETMAKERS</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>WOODWORKING-MACHINE OPERATORS</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>COACH BUILDERS, VENEER APPLIERS, FURNITURE FINISIERS AND POLISHERS</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>STONE CUTTERS AND CARVERS</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>BLACKSMITHS AND FORGING-PRESS OPERATORS</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>TOOLMAKERS, METAL PATTERNMAKERS AND METAL MARKERS</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>MACHINE TOOL SETTER-OPERATORS (INCLUDING THOSE PERFORMING SIMILAR TASKS IN MACHINING OF PLASTICS AND METAL SUBSTITUTES)</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>MACHINE TOOL OPERATORS</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>METAL GRINDERS, POLISHERS AND TOOL SHARPENERS</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>LOCKSMITHS, METAL SPINNERS AND OTHER RELATED WORKERS, N.E.C.</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>MACHINERY FITTERS AND MACHINE ASSEMBLERS</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>WATCH, CLOCK AND PRECISION - INSTRUMENT MAKERS</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>MOTOR VEHICLE MECHANICS</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>AIRCRAFT ENGINE MECHANICS</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>DIESEL ENGINE MECHANICS (EXCEPT MOTOR VEHICLES)</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>OFFICE MACHINES MECHANIC</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>OILERS AND GREASERS (EXCEPT SHIP'S ENGINES)</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>MECHANICS AND OTHER RELATED WORKERS, N.E.C.</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>ELECTRICAL AND ELECTRONIC FITTERS</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>ELECTRICAL AND ELECTRONIC EQUIPMENT ASSEMBLERS</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>RADIO AND TELEVISION REPAIRMEN</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>ELECTRICAL WIRE MEN, BUILDINGS AND OTHER CONSTRUCTION</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>OTHER ELECTRICAL WIRE MEN</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>TELEPHONE AND TELEGRAPH INSTALLERS</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>ELECTRIC LINEMEN AND CABLE JOINTERS</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>ELECTRICAL AND ELECTRONIC WORKERS, N.E.C.</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>BROADCASTING STATION OPERATORS AND PROJECTIONISTS</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>PLUMBERS AND PIPE FITTERS, CONSTRUCTION</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>PLUMBERS AND PIPE FITTERS, NOT CONSTRUCTION</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>WELDERS AND FLAME CUTTERS</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>VEHICLE SHEET-METAL WORKERS, INCLUDING PANEL BEATERS</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>SHEET METAL WORKERS, CONSTRUCTION</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>BOILERMAKERS, PLATERS, BOILER SMITHS</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>SHEET-METAL WORKERS, N.E.C.</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>STRUCTURAL METAL WORK FABRICATORS</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>STRUCTURAL METAL WORK ERECTORS, CONSTRUCTION</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>OTHER STRUCTURAL METAL WORKERS, N.E.C.</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>JEWELLERY AND PRECIOUS-METAL WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>GLASS FORMERS, CUTTERS GRINDERS AND FINISHERS</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>POTTERS AND RELATED CLAY AND ABRASIVE FORMERS</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>GLASS AND CERAMICS KILN MEN</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>GLASS ENGRAVERS AND ETCHERS AND GLASS AND CERAMICS PAINTERS AND DECORATORS</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>OTHER RELATED WORKERS, INCLUDING GLASS OR CLAY MIXERS,BATCHMEN, CERAMICS COLOUR OR GLAZE MIXERS FIBREGLASS MAKERS, PIPE MACHINE ATTENDANTS, FILTER PRESS OPERATORS, ETC.</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>RUBBER AND PLASTICS PRODUCT MAKERS</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>TYRE MAKERS AND VULCANISERS</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>PAPER-AND-PAPERBOARD PRODUCTS MAKERS</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>COMPOSITORS AND TYPESETTERS</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>PRINTING PRESSMEN</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>STEREOTYPERS AND ELECTROTYPERS</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>PRINTING ENGRAVERS (EXCEPT PHOTO-ENGRAVERS)</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>PHOTO-ENGRAVERS</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>BOOKBINDERS AND RELATED WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>PHOTOGRAPHIC DARK-ROOM WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>BLOCK PRINTERS, TEXTILE PRINTERS AND OTHER RELATED WORKERS, N.E.C.</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>PAINTERS, CONSTRUCTION</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>PAINTERS - SHIPS, RAILWAY COACHES AND WAGONS</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>SPRAY PAINTERS AND PANEL BEATERS</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>OTHER PAINTERS, N.E.C. - HAND/DIP/SPRAY PAINTERS, OPERATORS OF PAINTING EQUIPMENT TO COAT NEW MOTOR VEHICLES ON A CONVEYOR, STREET PAINT-STRIPING MACHINE OPERATORS, ETC.</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>MAKERS OF CONCRETE CEMENT AND ASBESTOS-CEMENT PRODUCTS</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>OTHER PRODUCTION AND RELATED WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>BRICKLAYERS, STONEMASONS AND TILE SETTERS</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>REINFORCED CONCRETERS AND TERAZZO WORKERS</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>ROOFERS</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>CARPENTERS, JOINERS AND PARQUETRY WORKERS, CONSTRUCTION</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>OTHER CARPENTERS AND JOINERS (WOOD), MINES AND SHIPS</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>PLASTERERS</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>GLAZIERS, CONSTRUCTION</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>VEHICLE GLAZIER, ETC.</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>CONSTRUCTION WORKERS, N.E.C.</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>ELECTRIC POWER GENERATING MACHINERY OPERATORS</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>STATIONARY ENGINE AND RELATED EQUIPMENT OPERATORS, N.E.C.</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>DOCKERS, STEVEDORES</labl>
  </catgry>
  <catgry>
    <catValu>267</catValu>
    <labl>RAILWAY, AIRCRAFT AND ROAD VEHICLE LOADERS/UNLOADERS</labl>
  </catgry>
  <catgry>
    <catValu>268</catValu>
    <labl>PACKERS AND LABELLERS</labl>
  </catgry>
  <catgry>
    <catValu>269</catValu>
    <labl>OTHER FREIGHT AND BAGGAGE HANDLERS</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>RIGGERS AND CABLE SPLICERS</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>CRANE AND HOIST OPERATORS</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>EARTH-MOVING AND RELATED MACHINERY OPERATORS</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>EARTH-MOVING AND RELATED MACHINERY OPERATORS, MINING AND QUARRYING</labl>
  </catgry>
  <catgry>
    <catValu>274</catValu>
    <labl>MATERIAL HANDLING EQUIPMENT OPERATORS, N.E.C.</labl>
  </catgry>
  <catgry>
    <catValu>275</catValu>
    <labl>SHIPS' DECK RATINGS, BARGE CREWS AND BOATMEN</labl>
  </catgry>
  <catgry>
    <catValu>276</catValu>
    <labl>SHIPS' ENGINE ROOM RATINGS</labl>
  </catgry>
  <catgry>
    <catValu>277</catValu>
    <labl>RAILWAY ENGINE DRIVERS AND FIREMEN</labl>
  </catgry>
  <catgry>
    <catValu>278</catValu>
    <labl>RAILWAY BRAKEMEN, SIGNALMEN AND SHUNTERS</labl>
  </catgry>
  <catgry>
    <catValu>279</catValu>
    <labl>TAXI DRIVERS</labl>
  </catgry>
  <catgry>
    <catValu>280</catValu>
    <labl>MOTOR BUS DRIVERS</labl>
  </catgry>
  <catgry>
    <catValu>281</catValu>
    <labl>LORRY, TRUCK AND VAN DRIVERS</labl>
  </catgry>
  <catgry>
    <catValu>282</catValu>
    <labl>OTHER MOTOR VEHICLE DRIVERS</labl>
  </catgry>
  <catgry>
    <catValu>283</catValu>
    <labl>TRANSPORT EQUIPMENT OPERATORS, N.E.C.</labl>
  </catgry>
  <catgry>
    <catValu>284</catValu>
    <labl>LABOURERS, NOT ELSEWHERE CLASSIFIED</labl>
  </catgry>
  <catgry>
    <catValu>285</catValu>
    <labl>OCCUPATION UNSPECIFIED</labl>
  </catgry>
  <catgry>
    <catValu>286</catValu>
    <labl>WORKERS EMPLOYED - OCCUPATION INDETERMINABLE OR UNSPECIFIED</labl>
  </catgry>
  <catgry>
    <catValu>287</catValu>
    <labl>KEEPING HOUSE</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>CHILD, NOT SCHOLAR OR STUDENT</labl>
  </catgry>
  <catgry>
    <catValu>289</catValu>
    <labl>SCHOLAR/STUDENT</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>INMATE OF INSTITUTION - NO OCCUPATION STATED</labl>
  </catgry>
  <catgry>
    <catValu>291</catValu>
    <labl>PENSIONER</labl>
  </catgry>
  <catgry>
    <catValu>292</catValu>
    <labl>OTHER PERSONS NOT ECONOMICALLY ACTIVE</labl>
  </catgry>
  <catgry>
    <catValu>293</catValu>
    <labl>FOREIGN VISITORS</labl>
  </catgry>
  <txt>This variable records the occupation of the individual respondent in the year 1975 (May 1975).</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V39" name="WRKSTAT" files="F1" intrvl="discrete">
  <labl>Work status</labl>
  <imputation>Work status</imputation>
  <security>Work status</security>
  <embargo>Work status</embargo>
  <respUnit>Work status</respUnit>
  <qstn>
    <qstnLit>18. Present work status: E.g. employee, employer, unemployed, (looking for work), not working (not looking for work), etc.</qstnLit>
    <postQTxt>See instruction 2j</postQTxt>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Employer</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 economically active</labl>
  </catgry>
  <txt>This variable records the current work status of the individual household member.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V40" name="WORK" files="F1" intrvl="discrete">
  <labl>Jobseekers: worked during past week or not</labl>
  <imputation>Jobseekers: worked during past week or not</imputation>
  <security>Jobseekers: worked during past week or not</security>
  <embargo>Jobseekers: worked during past week or not</embargo>
  <respUnit>Jobseekers: worked during past week or not</respUnit>
  <qstn>
    <preQTxt>Only persons not working but seeking work</preQTxt>
    <qstnLit>19. Did person WORK during past week?</qstnLit>
  </qstn>
  <universe>Only persons not working but seeking work</universe>
  <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>This variable records whether the individual household member worked during the past week or not.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V41" name="SEARCH" files="F1" intrvl="discrete">
  <labl>Jobseekers: purposefully looked for job</labl>
  <imputation>Jobseekers: purposefully looked for job</imputation>
  <security>Jobseekers: purposefully looked for job</security>
  <embargo>Jobseekers: purposefully looked for job</embargo>
  <respUnit>Jobseekers: purposefully looked for job</respUnit>
  <qstn>
    <preQTxt>Only persons not working but seeking work</preQTxt>
    <qstnLit>19. If not, did he/she purposefully SEEK work?</qstnLit>
  </qstn>
  <universe>Only persons not working but seeking work</universe>
  <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>This variable records whether the individual household member purposefully sought work.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V42" name="START" files="F1" intrvl="discrete">
  <labl>Jobseekers: when can start working again</labl>
  <imputation>Jobseekers: when can start working again</imputation>
  <security>Jobseekers: when can start working again</security>
  <embargo>Jobseekers: when can start working again</embargo>
  <respUnit>Jobseekers: when can start working again</respUnit>
  <qstn>
    <preQTxt>Only persons not working but seeking work</preQTxt>
    <qstnLit>19. If work is found, WHEN can he/she begin?</qstnLit>
  </qstn>
  <universe>Only persons not working but seeking work</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Within a week</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>After a week</labl>
    <catStat type="invd"/>
  </catgry>
  <txt>This variable records how soon the individual household member could start work if work was found.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V43" name="EMPLOYER" files="F1" 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>20. Name of employer:</qstnLit>
    <postQTxt>See instruction 2k</postQTxt>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>Unemployed and not economically active</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Central Government</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Provincial administrations</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Local authorities</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>National states</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>SAR and H, SAA and GPO</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Public corporations</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Private business enterprises</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Non-profit motive organisations</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Private households</labl>
  </catgry>
  <txt>This variable identifies the identity of the employer of the individual household member.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V44" name="INDUSTRY" files="F1" intrvl="contin">
  <labl>Economic Sector/Industry</labl>
  <imputation>Economic Sector/Industry</imputation>
  <security>Economic Sector/Industry</security>
  <embargo>Economic Sector/Industry</embargo>
  <respUnit>Economic Sector/Industry</respUnit>
  <qstn>
    <qstnLit>21. Nature/main activity of industry or profession in which working. – E.g. agriculture, shoe factory, café, furniture shop, etc.</qstnLit>
    <postQTxt>See instruction 2 l</postQTxt>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records the economic sector which the individual household member is employed in.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V45" name="INCOME" files="F1" intrvl="contin">
  <labl>Income of person</labl>
  <imputation>Income of person</imputation>
  <security>Income of person</security>
  <embargo>Income of person</embargo>
  <respUnit>Income of person</respUnit>
  <qstn>
    <qstnLit>22. Annual income (all sources)</qstnLit>
    <postQTxt>See instruction 2m</postQTxt>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records the annual income from all sources for the individual household member for the 12 MONTHS ended 30/4/1980 or 29/2/1980.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V46" name="FRIDGE" files="F1" intrvl="discrete">
  <labl>Amenities: refrigerator</labl>
  <imputation>Amenities: refrigerator</imputation>
  <security>Amenities: refrigerator</security>
  <embargo>Amenities: refrigerator</embargo>
  <respUnit>Amenities: refrigerator</respUnit>
  <qstn>
    <preQTxt>PART B: AMENITIES - Indicate HOW MANY of the following amenties are at the sole disposal of the persons enumerated in part A. When the form is not filled in at your home, or when the head of family is absent from the home dwelling, but other members of the family are at home, see instruction 3a. Also see instruction 3b.</preQTxt>
    <qstnLit>Refrigerator (including combination refrigerator/deepfreezer)</qstnLit>
  </qstn>
  <universe>All persons enumerated in part A.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records how many refrigerators are at the sole disposal of the persons enumerated in part A.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V47" name="FREEZER" files="F1" intrvl="discrete">
  <labl>Amenities: deep-freezer</labl>
  <imputation>Amenities: deep-freezer</imputation>
  <security>Amenities: deep-freezer</security>
  <embargo>Amenities: deep-freezer</embargo>
  <respUnit>Amenities: deep-freezer</respUnit>
  <qstn>
    <preQTxt>PART B: AMENITIES - Indicate HOW MANY of the following amenties are at the sole disposal of the persons enumerated in part A. When the form is not filled in at your home, or when the head of family is absent from the home dwelling, but other members of the family are at home, see instruction 3a. Also see instruction 3b.</preQTxt>
    <qstnLit>Separate deep-freezer</qstnLit>
  </qstn>
  <universe>All persons enumerated in part A.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records how many deep-freezers are at the sole disposal of the persons enumerated in part A.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V48" name="STOVE" files="F1" intrvl="discrete">
  <labl>Amenities: stove</labl>
  <imputation>Amenities: stove</imputation>
  <security>Amenities: stove</security>
  <embargo>Amenities: stove</embargo>
  <respUnit>Amenities: stove</respUnit>
  <qstn>
    <preQTxt>PART B: AMENITIES - Indicate HOW MANY of the following amenties are at the sole disposal of the persons enumerated in part A. When the form is not filled in at your home, or when the head of family is absent from the home dwelling, but other members of the family are at home, see instruction 3a. Also see instruction 3b.</preQTxt>
    <qstnLit>Stove</qstnLit>
  </qstn>
  <universe>All persons enumerated in part A.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records how many stoves are at the sole disposal of the persons enumerated in part A.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V49" name="WASHMASJ" files="F1" intrvl="discrete">
  <labl>Amenities: washing machine</labl>
  <imputation>Amenities: washing machine</imputation>
  <security>Amenities: washing machine</security>
  <embargo>Amenities: washing machine</embargo>
  <respUnit>Amenities: washing machine</respUnit>
  <qstn>
    <preQTxt>PART B: AMENITIES - Indicate HOW MANY of the following amenties are at the sole disposal of the persons enumerated in part A. When the form is not filled in at your home, or when the head of family is absent from the home dwelling, but other members of the family are at home, see instruction 3a. Also see instruction 3b.</preQTxt>
    <qstnLit>Washing machine</qstnLit>
  </qstn>
  <universe>All persons enumerated in part A.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records how many washing machines are at the sole disposal of the persons enumerated in part A.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V50" name="RADIO" files="F1" intrvl="discrete">
  <labl>Amenities: radio</labl>
  <imputation>Amenities: radio</imputation>
  <security>Amenities: radio</security>
  <embargo>Amenities: radio</embargo>
  <respUnit>Amenities: radio</respUnit>
  <qstn>
    <preQTxt>PART B: AMENITIES - Indicate HOW MANY of the following amenties are at the sole disposal of the persons enumerated in part A. When the form is not filled in at your home, or when the head of family is absent from the home dwelling, but other members of the family are at home, see instruction 3a. Also see instruction 3b.</preQTxt>
    <qstnLit>Radio (including car radio)</qstnLit>
  </qstn>
  <universe>All persons enumerated in part A.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records how many radios (including car radios) are at the sole disposal of the persons enumerated in part A.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V51" name="TV" files="F1" intrvl="discrete">
  <labl>Amenities: television</labl>
  <imputation>Amenities: television</imputation>
  <security>Amenities: television</security>
  <embargo>Amenities: television</embargo>
  <respUnit>Amenities: television</respUnit>
  <qstn>
    <preQTxt>PART B: AMENITIES - Indicate HOW MANY of the following amenties are at the sole disposal of the persons enumerated in part A. When the form is not filled in at your home, or when the head of family is absent from the home dwelling, but other members of the family are at home, see instruction 3a. Also see instruction 3b.</preQTxt>
    <qstnLit>Television set</qstnLit>
  </qstn>
  <universe>All persons enumerated in part A.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records how many television sets are at the sole disposal of the persons enumerated in part A.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V52" name="CAR" files="F1" intrvl="discrete">
  <labl>Amenities: motorcar/combi/bakkie</labl>
  <imputation>Amenities: motorcar/combi/bakkie</imputation>
  <security>Amenities: motorcar/combi/bakkie</security>
  <embargo>Amenities: motorcar/combi/bakkie</embargo>
  <respUnit>Amenities: motorcar/combi/bakkie</respUnit>
  <qstn>
    <preQTxt>PART B: AMENITIES - Indicate HOW MANY of the following amenties are at the sole disposal of the persons enumerated in part A. When the form is not filled in at your home, or when the head of family is absent from the home dwelling, but other members of the family are at home, see instruction 3a. Also see instruction 3b.</preQTxt>
    <qstnLit>Motor-car/combi/bakkie</qstnLit>
  </qstn>
  <universe>All persons enumerated in part A.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records how many motor-cars/combis/bakkies are at the sole disposal of the persons enumerated in part A.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V53" name="MTRCYCLE" files="F1" intrvl="discrete">
  <labl>Amenities: motorcycle</labl>
  <imputation>Amenities: motorcycle</imputation>
  <security>Amenities: motorcycle</security>
  <embargo>Amenities: motorcycle</embargo>
  <respUnit>Amenities: motorcycle</respUnit>
  <qstn>
    <preQTxt>PART B: AMENITIES - Indicate HOW MANY of the following amenties are at the sole disposal of the persons enumerated in part A. When the form is not filled in at your home, or when the head of family is absent from the home dwelling, but other members of the family are at home, see instruction 3a. Also see instruction 3b.</preQTxt>
    <qstnLit>Motor cycle</qstnLit>
  </qstn>
  <universe>All persons enumerated in part A.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records how many motor cycles are at the sole disposal of the persons enumerated in part A.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V54" name="BICYCLE" files="F1" intrvl="discrete">
  <labl>Amenities: bicycle</labl>
  <imputation>Amenities: bicycle</imputation>
  <security>Amenities: bicycle</security>
  <embargo>Amenities: bicycle</embargo>
  <respUnit>Amenities: bicycle</respUnit>
  <qstn>
    <preQTxt>PART B: AMENITIES - Indicate HOW MANY of the following amenties are at the sole disposal of the persons enumerated in part A. When the form is not filled in at your home, or when the head of family is absent from the home dwelling, but other members of the family are at home, see instruction 3a. Also see instruction 3b.</preQTxt>
    <qstnLit>Bicycle</qstnLit>
  </qstn>
  <universe>All persons enumerated in part A.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records how many bicycles are at the sole disposal of the persons enumerated in part A.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V55" name="KARAVAN" files="F1" intrvl="discrete">
  <labl>Amenities: caravan</labl>
  <imputation>Amenities: caravan</imputation>
  <security>Amenities: caravan</security>
  <embargo>Amenities: caravan</embargo>
  <respUnit>Amenities: caravan</respUnit>
  <qstn>
    <preQTxt>PART B: AMENITIES - Indicate HOW MANY of the following amenties are at the sole disposal of the persons enumerated in part A. When the form is not filled in at your home, or when the head of family is absent from the home dwelling, but other members of the family are at home, see instruction 3a. Also see instruction 3b.</preQTxt>
    <qstnLit>Caravan</qstnLit>
  </qstn>
  <universe>All persons enumerated in part A.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records how many caravans are at the sole disposal of the persons enumerated in part A.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V56" name="TRACTOR" files="F1" intrvl="discrete">
  <labl>Amenities: tractor</labl>
  <imputation>Amenities: tractor</imputation>
  <security>Amenities: tractor</security>
  <embargo>Amenities: tractor</embargo>
  <respUnit>Amenities: tractor</respUnit>
  <qstn>
    <preQTxt>PART B: AMENITIES - Indicate HOW MANY of the following amenties are at the sole disposal of the persons enumerated in part A. When the form is not filled in at your home, or when the head of family is absent from the home dwelling, but other members of the family are at home, see instruction 3a. Also see instruction 3b.</preQTxt>
    <qstnLit>Tractor</qstnLit>
  </qstn>
  <universe>All persons enumerated in part A.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records how many tractors are at the sole disposal of the persons enumerated in part A.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V57" name="ANIMALDR" files="F1" intrvl="discrete">
  <labl>Amenities: animal drawn vehicle</labl>
  <imputation>Amenities: animal drawn vehicle</imputation>
  <security>Amenities: animal drawn vehicle</security>
  <embargo>Amenities: animal drawn vehicle</embargo>
  <respUnit>Amenities: animal drawn vehicle</respUnit>
  <qstn>
    <preQTxt>PART B: AMENITIES - Indicate HOW MANY of the following amenties are at the sole disposal of the persons enumerated in part A. When the form is not filled in at your home, or when the head of family is absent from the home dwelling, but other members of the family are at home, see instruction 3a. Also see instruction 3b.</preQTxt>
    <qstnLit>Animal drawn vehicle</qstnLit>
  </qstn>
  <universe>All persons enumerated in part A.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records how many animal drawn vehicles are at the sole disposal of the persons enumerated in part A.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V58" name="SWIMPOOL" files="F1" intrvl="discrete">
  <labl>Amenities: swimming pool</labl>
  <imputation>Amenities: swimming pool</imputation>
  <security>Amenities: swimming pool</security>
  <embargo>Amenities: swimming pool</embargo>
  <respUnit>Amenities: swimming pool</respUnit>
  <qstn>
    <preQTxt>PART B: AMENITIES - Indicate HOW MANY of the following amenties are at the sole disposal of the persons enumerated in part A. When the form is not filled in at your home, or when the head of family is absent from the home dwelling, but other members of the family are at home, see instruction 3a. Also see instruction 3b.</preQTxt>
    <qstnLit>Swimming pool</qstnLit>
  </qstn>
  <universe>All persons enumerated in part A.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records how many swimming pools are at the sole disposal of the persons enumerated in part A.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V59" name="HOLIDAY" files="F1" intrvl="discrete">
  <labl>Amenities: holiday cottage</labl>
  <imputation>Amenities: holiday cottage</imputation>
  <security>Amenities: holiday cottage</security>
  <embargo>Amenities: holiday cottage</embargo>
  <respUnit>Amenities: holiday cottage</respUnit>
  <qstn>
    <preQTxt>PART B: AMENITIES - Indicate HOW MANY of the following amenties are at the sole disposal of the persons enumerated in part A. When the form is not filled in at your home, or when the head of family is absent from the home dwelling, but other members of the family are at home, see instruction 3a. Also see instruction 3b.</preQTxt>
    <qstnLit>Holiday cottage</qstnLit>
  </qstn>
  <universe>All persons enumerated in part A.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records how many holiday cottages are at the sole disposal of the persons enumerated in part A.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V60" name="DISTRICT" files="F1" intrvl="discrete">
  <labl>Magisterial district</labl>
  <imputation>Magisterial district</imputation>
  <security>Magisterial district</security>
  <embargo>Magisterial district</embargo>
  <respUnit>Magisterial district</respUnit>
  <qstn>
    <preQTxt>Must be filled in by the enumerator</preQTxt>
    <qstnLit>District</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>CAPE (PENINSULA)</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>WYNBERG</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>SIMON'S TOWN</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>GOODWOOD</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>BELLVILLE</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>STELLENBOSCH</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>KUILS RIVER</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>SOMERSET WEST</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>STRAND</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>PAARL</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>WELLINGTON</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>UNIONDALE</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>JOUBERTINA</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>HUMANSDORP</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>HANKEY</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>OUDTSHOORN</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>CALITZDORP</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>LADISMITH</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>KNYSNA</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>GEORGE</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>MOSSEL BAY</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>RIVERSDALE</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>CALEDON</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>HERMANUS</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>BREDASDORP</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>SWELLENDAM</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>HEIDELBERG CP</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>WORCESTER</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>CERES</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>TULBAGH</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>ROBERTSON</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>MONTAGU</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>MALMESBURY</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>HOPEFIELD</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>PIKETBERG</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>VREDENBURG</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>CLANWILLIAM</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>VREDENDAL</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>VANRHYNSDORP</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>NAMAQUALAND</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>WALVIS BAY</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>PORT ELIZABETH</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>UITENHAGE</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>KIRKWOOD</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>CALVINIA</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>WILLISTON</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>SUTHERLAND</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>BEAUFORT WEST</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>FRASERBURG</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>LAINGSBURG</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>PRINCE ALBERT</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>VICTORIA WEST</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>MURRAYSBURG</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>JANSENVILLE</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>STEYTLERVILLE</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>WILLOWMORE</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>ABERDEEN</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>GRAAFF-REINET</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>PEARSTON</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>CRADOCK</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>MIDDELBURG CP</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>HOPETOWN</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>BRITSTOWN</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>DE AAR</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>PHILIPSTOWN</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>RICHMOND CP</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>HANOVER</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>COLESBERG</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>NOUPOORT</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>PRIESKA</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>CARNARVON</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>KIMBERLEY</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>GORDONIA</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>KENHARDT</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>KURUMAN</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>POSTMASBURG</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>HAY</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>VRYBURG</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>MAFIKENG</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>HERBERT</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>BARKLY WEST</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>WARRENTON</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>HARTSWATER</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>BOSHOF</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>JACOBSDAL</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>KOFFIEFONTEIN</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>FAURESMITH</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>EAST LONDON</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>KING WILLIAM'S TOWN</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>KOMGA</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>STUTTERHEIM</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>CATHCART</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>QUEENSTOWN</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>TARKA</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>STERKSTROOM</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>MOLTENO</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>ALBANY</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>SOMERSET EAST</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>ALEXANDRIA</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>BATHURST</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>FORT BEAUFORT</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>ADELAIDE</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>BEDFORD</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>PEDDIE CP</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>VICTORIA EAST CP</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>STOCKENSTROM</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>BARKLY EAST</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>WODEHOUSE</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>INDWE</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>ELLIOT</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>MACLEAR</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>LADY GREY</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>ALIWAL NORTH</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>ALBERT</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>VENTERSTAD</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>STEYNSBURG</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>HOFMEYR</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>ZASTRON</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>ROUXVILLE</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>SMITHFIELD</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>BETHULIE</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>DURBAN</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>PINETOWN NTL</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>INANDA</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>LOWER TUGELA NTL</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>CAMPERDOWN NTL</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>RICHMOND NTL</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>IXOPO</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>NEW HANOVER</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>LIONS RIVER NTL</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>UMVOTI NTL</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>KRANSKOP NTL</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>PIETERMARITZBURG</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>PORT SHEPSTONE NTL</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>ALFRED</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>UMZINTO</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>UNDERBERG NTL</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>IMPENDLE NTL</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>POLELA</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>MOUNT CURRIE</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>NEWCASTLE NTL</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>UTRECHT</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>DANNHAUSER</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>DUNDEE NTL</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>GLENCOE NTL</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>KLIPRIVIER</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>WEENEN NTL</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>MOOI RIVER</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>ESTCOURT</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>BERGVILLE NTL</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>PAULPIETERSBURG NTL</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>NGOTSHE</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>VRYHEID NTL</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>BABANANGO NTL</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>HLABISA NTL</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>LOWER UMFOLOZI</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>MTONJANENI NTL</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>ESHOWE</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>MTUNZINI</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>UBOMBO NTL</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>PRETORIA</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>WONDERBOOM</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>JOHANNESBURG</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>RANDBURG</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>GERMISTON</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>ALBERTON</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>BOKSBURG</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>KEMPTON PARK</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>BENONI</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>BRAKPAN</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>SPRINGS</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>NIGEL</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>DELMAS</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>HEIDELBERG TVL</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>BALFOUR</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>HIGHVELD RIDGE</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>KRUGERSDORP</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>ROODEPOORT</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>WESTONARIA</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>RANDFONTEIN</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>OBERHOLZER</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>BRITS</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>CULLINAN</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>BRONKHORSTSPRUIT</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>VEREENIGING</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>VANDERBIJLPARK</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>SASOLBURG</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>THABAZIMBI</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>WARMBATHS</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>RUSTENBURG</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>SWARTRUGGENS</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>MARICO</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>PIETERSBURG</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>POTGIETERSRUS</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>WATERBERG</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>MESSINA</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>SOUTPANSBERG</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>LETABA</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>NELSPRUIT</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>BARBERTON</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>WHITE RIVER</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>PILGRIM'S REST</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>LYDENBURG</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>WITBANK</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>MIDDELBURG TVL</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>GROBLERSDAL</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>BELFAST</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>WATERVAL-BOVEN</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>BETHAL</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>STANDERTON</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>VOLKSRUST</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>CAROLINA TVL</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>ERMELO TVL</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>AMERSFOORT</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>WAKKERSTROOM</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>PIET RETIEF TVL</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>KLERKSDORP</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>POTCHEFSTROOM</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>VENTERSDORP</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>COLIGNY</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>KOSTER</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>LICHTENBURG</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>DELAREYVILLE</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>WOLMARANSSTAD</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>SCHWEIZER-RENEKE</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>BLOEMHOF</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>CHRISTIANA</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>KROONSTAD</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>VENTERSBURG</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>HENNENMAN</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>PARYS</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>VREDEFORT</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>KOPPIES</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>HEILBRON</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>VILJOENSKROON</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>BOTHAVILLE</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>WESSELSBRON</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>HOOPSTAD</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>BULTFONTEIN</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>THEUNISSEN</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>BETHLEHEM</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>HARRISMITH</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>VREDE</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>FRANKFORT</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>REITZ</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>LINDLEY</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>SENEKAL</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>FOURIESBURG</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>FICKSBURG</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>ODENDAALSRUS</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>WELKOM</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>VIRGINIA</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>BLOEMFONTEIN</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>PETRUSBURG</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>BRANDFORT</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>WINBURG</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>MARQUARD</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>CLOCOLAN</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>EXCELSIOR</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>LADYBRAND</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>WEPENER</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>DEWETSDORP</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>REDDERSBURG</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>EDENBURG</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>TROMPSBURG</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>JAGERSFONTEIN</labl>
  </catgry>
  <catgry>
    <catValu>267</catValu>
    <labl>PHILIPPOLIS</labl>
  </catgry>
  <catgry>
    <catValu>268</catValu>
    <labl>ZWELITSHA</labl>
  </catgry>
  <catgry>
    <catValu>269</catValu>
    <labl>MDANTSANE</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>KEISKAMMAHOEK</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>MIDDLEDRIFT</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>VICTORIA EAST CIS</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>PEDDIE CIS</labl>
  </catgry>
  <catgry>
    <catValu>274</catValu>
    <labl>HEWU</labl>
  </catgry>
  <catgry>
    <catValu>275</catValu>
    <labl>PINETOWN KWZ</labl>
  </catgry>
  <catgry>
    <catValu>276</catValu>
    <labl>NTUZUMA</labl>
  </catgry>
  <catgry>
    <catValu>277</catValu>
    <labl>UMLAZI</labl>
  </catgry>
  <catgry>
    <catValu>278</catValu>
    <labl>EMBUMBULU</labl>
  </catgry>
  <catgry>
    <catValu>279</catValu>
    <labl>CAMPERDOWN KWZ</labl>
  </catgry>
  <catgry>
    <catValu>280</catValu>
    <labl>RICHMOND</labl>
  </catgry>
  <catgry>
    <catValu>281</catValu>
    <labl>VULAMEHLO</labl>
  </catgry>
  <catgry>
    <catValu>282</catValu>
    <labl>PORT SHEPSTONE KWZ</labl>
  </catgry>
  <catgry>
    <catValu>283</catValu>
    <labl>EZINGOLWENI</labl>
  </catgry>
  <catgry>
    <catValu>284</catValu>
    <labl>EMZUMBE</labl>
  </catgry>
  <catgry>
    <catValu>285</catValu>
    <labl>HLANGANANI</labl>
  </catgry>
  <catgry>
    <catValu>286</catValu>
    <labl>UNDERBERG KWZ</labl>
  </catgry>
  <catgry>
    <catValu>287</catValu>
    <labl>IMPENDLE KWZ</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>LIONS RIVER KWZ</labl>
  </catgry>
  <catgry>
    <catValu>289</catValu>
    <labl>EMPUMALANGA</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>NDWEDWE</labl>
  </catgry>
  <catgry>
    <catValu>291</catValu>
    <labl>LOWER TUGELA KWZ</labl>
  </catgry>
  <catgry>
    <catValu>292</catValu>
    <labl>KWA MAPUMULU</labl>
  </catgry>
  <catgry>
    <catValu>293</catValu>
    <labl>ONGOYE</labl>
  </catgry>
  <catgry>
    <catValu>294</catValu>
    <labl>INKANYEZI</labl>
  </catgry>
  <catgry>
    <catValu>295</catValu>
    <labl>KRANSKOP KWZ</labl>
  </catgry>
  <catgry>
    <catValu>296</catValu>
    <labl>UMVOTI KWZ</labl>
  </catgry>
  <catgry>
    <catValu>297</catValu>
    <labl>MSINGA</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>WEENEN KWZ</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>OKHAHLAMBA</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>BERGVILLE KWZ</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>EMNAMBITHI</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>NEWCASTLE KWZ</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>MADADENI</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>GLENCOE KWZ</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>DUNDEE KWZ</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>PAULPIETERSBURG KWZ</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>VRYHEID KWZ</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>NQUTU</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>NKANDLA</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>BABANANGO KWZ</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>MTONJANENI KWZ</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>ENSELENI</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>HLABISA KWZ</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>MAHLABATINI</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>NONGOMA</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>UBOMBO KWZ</labl>
  </catgry>
  <txt>This variable records the Magisterial District that the household resides in.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V61" name="TYPE" files="F1" intrvl="discrete">
  <labl>Type</labl>
  <imputation>Type</imputation>
  <security>Type</security>
  <embargo>Type</embargo>
  <respUnit>Type</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <notes>More information on this variable is required from the data producer</notes>
  <varFormat type="numeric"/>
</var>
<var ID="V62" name="PROVINCE" files="F1" 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</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>Oranje Free State</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Ciskei</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>KwaZulu</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Gazankulu</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Lebowa</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>QwaQwa</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>KaNgwane</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>KwaNdebele</labl>
  </catgry>
  <txt>This variable records the South African province in which the household resides.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V63" name="SUBURB" files="F2" dcml="2" intrvl="contin">
  <labl>Suburb-town</labl>
  <imputation>Suburb-town</imputation>
  <security>Suburb-town</security>
  <embargo>Suburb-town</embargo>
  <respUnit>Suburb-town</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable represents the South African suburb.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V64" name="ENUMAREA" files="F2" dcml="2" intrvl="contin">
  <labl>Esd (enumerator's subdistrict)</labl>
  <imputation>Esd (enumerator's subdistrict)</imputation>
  <security>Esd (enumerator's subdistrict)</security>
  <embargo>Esd (enumerator's subdistrict)</embargo>
  <respUnit>Esd (enumerator's subdistrict)</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <notes>More information on this variable is required from the data producer</notes>
  <varFormat type="numeric"/>
</var>
<var ID="V65" name="DWELTYP1" files="F2" intrvl="discrete">
  <labl>Type of dwelling (place enumerated)</labl>
  <imputation>Type of dwelling (place enumerated)</imputation>
  <security>Type of dwelling (place enumerated)</security>
  <embargo>Type of dwelling (place enumerated)</embargo>
  <respUnit>Type of dwelling (place enumerated)</respUnit>
  <qstn>
    <preQTxt>Must be filled in by the enumerator:</preQTxt>
  </qstn>
  <universe>All households</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>House, hut (Traditional home)</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Semi-detached house</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Flat</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Flat on same erf as house</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Hostel or Kampong</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Other type of dwelling</labl>
  </catgry>
  <txt>This is the dwelling type of the household member where the enumeration took place.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V66" name="DWELTYP2" files="F2" intrvl="discrete">
  <labl>Type of dwelling (usual residence)</labl>
  <imputation>Type of dwelling (usual residence)</imputation>
  <security>Type of dwelling (usual residence)</security>
  <embargo>Type of dwelling (usual residence)</embargo>
  <respUnit>Type of dwelling (usual residence)</respUnit>
  <qstn>
    <preQTxt>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</preQTxt>
    <qstnLit>9. Usual place of residence: State full residential address. See instructions 2e. If the same as the address at the top of this form, write "HERE". Also state TYPE OF DWELLING at address on 6 May 1980, e.g. house, flat, hotel, etc.
(1) Now 6 May 1980……………..….
(2) 5 years ago May 1975……………</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>House, hut (Traditional home)</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Semi-detached house</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Flat</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Flat on same erf as house</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Hostel or Kampong</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Other type of dwelling</labl>
  </catgry>
  <txt>This is the dwelling type at the usual residence of the household member.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V67" name="SEX" files="F2" intrvl="discrete">
  <labl>Sex</labl>
  <imputation>Sex</imputation>
  <security>Sex</security>
  <embargo>Sex</embargo>
  <respUnit>Sex</respUnit>
  <qstn>
    <qstnLit>3. Sex: Mark applicable space with a cross (X)………………………………</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <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>This variable records the gender of the individual household member</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V68" name="AGE" files="F2" intrvl="discrete">
  <labl>Age</labl>
  <imputation>Age</imputation>
  <security>Age</security>
  <embargo>Age</embargo>
  <respUnit>Age</respUnit>
  <qstn>
    <qstnLit>4. Age: State age in years at last birthday. For babies under one year, write "0"………………………………</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>under 1 year</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>99 years and older</labl>
    <catStat type="invd"/>
  </catgry>
  <txt>This variable records the age of the individual household member.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V69" name="POPGRP" files="F2" intrvl="discrete">
  <labl>Population group</labl>
  <imputation>Population group</imputation>
  <security>Population group</security>
  <embargo>Population group</embargo>
  <respUnit>Population group</respUnit>
  <qstn>
    <qstnLit>6. Population group: E.g. white, Malay, Indian, South Sotho, etc.</qstnLit>
    <postQTxt>See instruction 2c</postQTxt>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>White</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Cape Coloured</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Cape 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>Chinese</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Indian</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Other Asian</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Xhosa</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Zulu</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Swazi</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>South Ndebele (Ndzundza/Manala)</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>North Ndebele (Kekana, Lidwaba, Langa, Seleka)</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>North Sotho (Mosotho wa Lebowa)</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>South Sotho (Mosotho wa Borwa)</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Tswana</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Shangaan/Tsonga</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>Venda</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>Lemba</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Other Blacks</labl>
  </catgry>
  <txt>This variable records the populaiton group (race) of the household member.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V70" name="POB" files="F2" intrvl="discrete">
  <labl>Birth place</labl>
  <imputation>Birth place</imputation>
  <security>Birth place</security>
  <embargo>Birth place</embargo>
  <respUnit>Birth place</respUnit>
  <qstn>
    <qstnLit>7. Birthplace: If within RSA, state name of DISTRICT. If outside RSA, state name of COUNTRY</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Bafokeng</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Bophuthatswana - Unspecified</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Ditsobotla</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Ganyesa</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Lehuritshe</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Madikwe</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Mankwe</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Mathanjana</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Molopo</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Moretele</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Odi</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Taung</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>ThabaNchu</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Tlhaping-Tlharo</labl>
  </catgry>
  <catgry>
    <catValu>346</catValu>
    <labl>Ciskei</labl>
  </catgry>
  <catgry>
    <catValu>347</catValu>
    <labl>Gazankulu</labl>
  </catgry>
  <catgry>
    <catValu>348</catValu>
    <labl>KwaNdebele</labl>
  </catgry>
  <catgry>
    <catValu>349</catValu>
    <labl>KaNgwane (Swazi)</labl>
  </catgry>
  <catgry>
    <catValu>350</catValu>
    <labl>KwaZulu</labl>
  </catgry>
  <catgry>
    <catValu>351</catValu>
    <labl>Lebowa</labl>
  </catgry>
  <catgry>
    <catValu>352</catValu>
    <labl>Qwaqwa</labl>
  </catgry>
  <catgry>
    <catValu>353</catValu>
    <labl>South Africa</labl>
  </catgry>
  <catgry>
    <catValu>909</catValu>
    <labl>Venda</labl>
  </catgry>
  <catgry>
    <catValu>910</catValu>
    <labl>Transkei</labl>
  </catgry>
  <catgry>
    <catValu>911</catValu>
    <labl>Bophuhatswana</labl>
  </catgry>
  <catgry>
    <catValu>912</catValu>
    <labl>South West Africa (Namibia)</labl>
  </catgry>
  <catgry>
    <catValu>913</catValu>
    <labl>Lesotho</labl>
  </catgry>
  <catgry>
    <catValu>914</catValu>
    <labl>Botswana</labl>
  </catgry>
  <catgry>
    <catValu>915</catValu>
    <labl>Swaziland</labl>
  </catgry>
  <catgry>
    <catValu>916</catValu>
    <labl>Algeria</labl>
  </catgry>
  <catgry>
    <catValu>917</catValu>
    <labl>Angola</labl>
  </catgry>
  <catgry>
    <catValu>918</catValu>
    <labl>Egypt</labl>
  </catgry>
  <catgry>
    <catValu>919</catValu>
    <labl>Ghana</labl>
  </catgry>
  <catgry>
    <catValu>920</catValu>
    <labl>Kenya</labl>
  </catgry>
  <catgry>
    <catValu>921</catValu>
    <labl>Congo</labl>
  </catgry>
  <catgry>
    <catValu>922</catValu>
    <labl>Madeira</labl>
  </catgry>
  <catgry>
    <catValu>923</catValu>
    <labl>Malagasy Republic</labl>
  </catgry>
  <catgry>
    <catValu>924</catValu>
    <labl>Malawi</labl>
  </catgry>
  <catgry>
    <catValu>925</catValu>
    <labl>Mauritius</labl>
  </catgry>
  <catgry>
    <catValu>926</catValu>
    <labl>Mozambique</labl>
  </catgry>
  <catgry>
    <catValu>927</catValu>
    <labl>Uganda</labl>
  </catgry>
  <catgry>
    <catValu>928</catValu>
    <labl>Rhodesia (Zimbabwe)</labl>
  </catgry>
  <catgry>
    <catValu>929</catValu>
    <labl>Republic of Congo</labl>
  </catgry>
  <catgry>
    <catValu>930</catValu>
    <labl>St Helena</labl>
  </catgry>
  <catgry>
    <catValu>931</catValu>
    <labl>Tanzania</labl>
  </catgry>
  <catgry>
    <catValu>932</catValu>
    <labl>Zaire</labl>
  </catgry>
  <catgry>
    <catValu>933</catValu>
    <labl>Zambia</labl>
  </catgry>
  <catgry>
    <catValu>934</catValu>
    <labl>Rest of Africa</labl>
  </catgry>
  <catgry>
    <catValu>935</catValu>
    <labl>Albania</labl>
  </catgry>
  <catgry>
    <catValu>936</catValu>
    <labl>Belgium</labl>
  </catgry>
  <catgry>
    <catValu>937</catValu>
    <labl>Bulgaria</labl>
  </catgry>
  <catgry>
    <catValu>938</catValu>
    <labl>Denmark</labl>
  </catgry>
  <catgry>
    <catValu>939</catValu>
    <labl>West Germany</labl>
  </catgry>
  <catgry>
    <catValu>940</catValu>
    <labl>East Germany</labl>
  </catgry>
  <catgry>
    <catValu>941</catValu>
    <labl>Estland</labl>
  </catgry>
  <catgry>
    <catValu>942</catValu>
    <labl>Finland</labl>
  </catgry>
  <catgry>
    <catValu>943</catValu>
    <labl>France</labl>
  </catgry>
  <catgry>
    <catValu>944</catValu>
    <labl>Gibraltar</labl>
  </catgry>
  <catgry>
    <catValu>945</catValu>
    <labl>Greece</labl>
  </catgry>
  <catgry>
    <catValu>946</catValu>
    <labl>Hungary</labl>
  </catgry>
  <catgry>
    <catValu>947</catValu>
    <labl>Republic of Ireland</labl>
  </catgry>
  <catgry>
    <catValu>948</catValu>
    <labl>Italy</labl>
  </catgry>
  <catgry>
    <catValu>949</catValu>
    <labl>Yugoslavia</labl>
  </catgry>
  <catgry>
    <catValu>950</catValu>
    <labl>Latvia</labl>
  </catgry>
  <catgry>
    <catValu>951</catValu>
    <labl>Lithuania</labl>
  </catgry>
  <catgry>
    <catValu>952</catValu>
    <labl>Malta</labl>
  </catgry>
  <catgry>
    <catValu>953</catValu>
    <labl>Netherlands</labl>
  </catgry>
  <catgry>
    <catValu>954</catValu>
    <labl>Norway</labl>
  </catgry>
  <catgry>
    <catValu>955</catValu>
    <labl>Austria</labl>
  </catgry>
  <catgry>
    <catValu>956</catValu>
    <labl>Poland</labl>
  </catgry>
  <catgry>
    <catValu>957</catValu>
    <labl>Portugal</labl>
  </catgry>
  <catgry>
    <catValu>958</catValu>
    <labl>Romania</labl>
  </catgry>
  <catgry>
    <catValu>959</catValu>
    <labl>Spain</labl>
  </catgry>
  <catgry>
    <catValu>960</catValu>
    <labl>Sweden</labl>
  </catgry>
  <catgry>
    <catValu>961</catValu>
    <labl>Switzerland</labl>
  </catgry>
  <catgry>
    <catValu>962</catValu>
    <labl>Czechoslovakia</labl>
  </catgry>
  <catgry>
    <catValu>963</catValu>
    <labl>United Kingdom ( as mentioned)</labl>
  </catgry>
  <catgry>
    <catValu>964</catValu>
    <labl>England and Wales</labl>
  </catgry>
  <catgry>
    <catValu>965</catValu>
    <labl>Scotland</labl>
  </catgry>
  <catgry>
    <catValu>966</catValu>
    <labl>Northern Island</labl>
  </catgry>
  <catgry>
    <catValu>967</catValu>
    <labl>USSR</labl>
  </catgry>
  <catgry>
    <catValu>968</catValu>
    <labl>Other in Europe</labl>
  </catgry>
  <catgry>
    <catValu>969</catValu>
    <labl>Burma</labl>
  </catgry>
  <catgry>
    <catValu>970</catValu>
    <labl>Cyprus</labl>
  </catgry>
  <catgry>
    <catValu>971</catValu>
    <labl>India</labl>
  </catgry>
  <catgry>
    <catValu>972</catValu>
    <labl>Indonesia</labl>
  </catgry>
  <catgry>
    <catValu>973</catValu>
    <labl>Israel</labl>
  </catgry>
  <catgry>
    <catValu>974</catValu>
    <labl>Japan</labl>
  </catgry>
  <catgry>
    <catValu>975</catValu>
    <labl>Lebanon</labl>
  </catgry>
  <catgry>
    <catValu>976</catValu>
    <labl>Malaysia-Singapore</labl>
  </catgry>
  <catgry>
    <catValu>977</catValu>
    <labl>Pakistan</labl>
  </catgry>
  <catgry>
    <catValu>978</catValu>
    <labl>Sri-Lanka</labl>
  </catgry>
  <catgry>
    <catValu>979</catValu>
    <labl>Syria</labl>
  </catgry>
  <catgry>
    <catValu>980</catValu>
    <labl>China</labl>
  </catgry>
  <catgry>
    <catValu>981</catValu>
    <labl>Turkey</labl>
  </catgry>
  <catgry>
    <catValu>982</catValu>
    <labl>Other in Asia</labl>
  </catgry>
  <catgry>
    <catValu>983</catValu>
    <labl>Argentina</labl>
  </catgry>
  <catgry>
    <catValu>984</catValu>
    <labl>Brazil</labl>
  </catgry>
  <catgry>
    <catValu>985</catValu>
    <labl>Canada</labl>
  </catgry>
  <catgry>
    <catValu>986</catValu>
    <labl>Mexico</labl>
  </catgry>
  <catgry>
    <catValu>987</catValu>
    <labl>Uruguay</labl>
  </catgry>
  <catgry>
    <catValu>988</catValu>
    <labl>United States of America</labl>
  </catgry>
  <catgry>
    <catValu>989</catValu>
    <labl>Other in America</labl>
  </catgry>
  <catgry>
    <catValu>990</catValu>
    <labl>Australia</labl>
  </catgry>
  <catgry>
    <catValu>991</catValu>
    <labl>New Zealand</labl>
  </catgry>
  <catgry>
    <catValu>992</catValu>
    <labl>Other in Oceania</labl>
  </catgry>
  <catgry>
    <catValu>993</catValu>
    <labl>Stateless and unknown</labl>
  </catgry>
  <txt>This variable records the district in which the individual household member was born (if born in Bophuthatswana). Alternatively if the household member was born outside of Bophuthatswana the country of birth is recorded.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V71" name="CITIZEN" files="F2" intrvl="discrete">
  <labl>Citizenship-nationality</labl>
  <imputation>Citizenship-nationality</imputation>
  <security>Citizenship-nationality</security>
  <embargo>Citizenship-nationality</embargo>
  <respUnit>Citizenship-nationality</respUnit>
  <qstn>
    <qstnLit>8. Country of citizenship/nationality.</qstnLit>
    <postQTxt>See instruction 2d</postQTxt>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>South Africa</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Ciskei</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Gazankulu</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>KwaNdebele</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>KaNgwane (Swazi)</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>KwaZulu</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Lebowa</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Qwaqwa</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Venda</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Transkei</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Bophuhatswana</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>South West Africa (Namibia)</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Lesotho</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Botswana</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Swaziland</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Algeria</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Angola</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>Egypt</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>Ghana</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Kenya</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Congo</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Madeira</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Malagasy Republic</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Malawi</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Mauritius</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>Mozambique</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>Uganda</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>Rhodesia (Zimbabwe)</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>Republic of Congo</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>St Helena</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Tanzania</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Zaire</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Zambia</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>Rest of Africa</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>Albania</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>Belgium</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>Bulgaria</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>Denmark</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>West Germany</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>East Germany</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Estland</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Finland</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>France</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>Gibraltar</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>Greece</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>Hungary</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>Republic of Ireland</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>Italy</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>Yugoslavia</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Latvia</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Lithuania</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Malta</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>Netherlands</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>Norway</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>Austria</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>Poland</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>Portugal</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>Romania</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>Spain</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Sweden</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Switzerland</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>Czechoslovakia</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>United Kingdom ( as mentioned)</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>England and Wales</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>Scotland</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>Northern Island</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>USSR</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>Other in Europe</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>Burma</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>Cyprus</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>India</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>Indonesia</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>Israel</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>Japan</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>Lebanon</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>Malaysia-Singapore</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>Pakistan</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>Sri-Lanka</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>Syria</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>China</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>Turkey</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>Other in Asia</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>Argentina</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>Brazil</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>Canada</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>Mexico</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>Uruguay</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>United States of America</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>Other in America</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>Australia</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>New Zealand</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>Other in Oceania</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>Stateless and unknown</labl>
  </catgry>
  <txt>This variable records the citizenship/nationality of the individual household member.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V72" name="PLACE80" files="F2" dcml="2" intrvl="contin">
  <labl>Place of residence 1980 (suburb-town)</labl>
  <imputation>Place of residence 1980 (suburb-town)</imputation>
  <security>Place of residence 1980 (suburb-town)</security>
  <embargo>Place of residence 1980 (suburb-town)</embargo>
  <respUnit>Place of residence 1980 (suburb-town)</respUnit>
  <qstn>
    <qstnLit>9. Usual place of residence: State full residential address. (1) Now 6 May 1980</qstnLit>
    <postQTxt>State full residential address. See instructions 2e. If the same as the address at the top of this form, write "HERE".</postQTxt>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records the usual place of residence of the individual household member on the 6 May 1980.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V73" name="PLACE75" files="F2" dcml="2" intrvl="contin">
  <labl>Place of residence 1975 (suburb-town)</labl>
  <imputation>Place of residence 1975 (suburb-town)</imputation>
  <security>Place of residence 1975 (suburb-town)</security>
  <embargo>Place of residence 1975 (suburb-town)</embargo>
  <respUnit>Place of residence 1975 (suburb-town)</respUnit>
  <qstn>
    <qstnLit>9. Usual place of residence: State full residential address. (2) 5 years ago May 1975</qstnLit>
    <postQTxt>State full residential address. See instructions 2e. If the same as the address at the top of this form, write "HERE".</postQTxt>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records the usual place of residence of the individual household member five years ago (i.e. May 1975).</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V74" name="RELIGION" files="F2" intrvl="discrete">
  <labl>Religion</labl>
  <imputation>Religion</imputation>
  <security>Religion</security>
  <embargo>Religion</embargo>
  <respUnit>Religion</respUnit>
  <qstn>
    <qstnLit>10. Religion: State particular religious affiliation/denomination - not name of local congregation and not "Christian" only</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <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 S.A.</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Nederduits Gereformeerde Kerk in S.A.</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Church of the Province of S.A.</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Church of England in S.A.</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Church of England (as mentioned)</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Anglican (as mentioned)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Methodist Church of S.A.</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Presbyterian Church of Southern 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 S.A.</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Other Apostolic Churches</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Baptist</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Pentecostal Protestant Church</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Faith Mission Healers</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>Full Gospel Church</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>Greek Church</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Mormon (Latter Day Saints)</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Pentecostal Church</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Salvation Army</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Seventh Day Adventists</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>South African General Mission</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Swiss Church</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>Assemblies of God</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>Zion Christian Church (ZCC)</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>Other Black Independent Churches</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>Other Christian Churches</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Jewish/Hebrew</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Buddhists</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Confucian</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Hindu</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>Islam</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>Other faiths</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>Objection</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>No religion, no church (as stated) and Atheist</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>Unsure or not answered</labl>
  </catgry>
  <txt>This variable records the religion of the individual household member.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V75" name="DISABLTY" files="F2" intrvl="discrete">
  <labl>Disability</labl>
  <imputation>Disability</imputation>
  <security>Disability</security>
  <embargo>Disability</embargo>
  <respUnit>Disability</respUnit>
  <qstn>
    <qstnLit>11. Disabled persons: If person is disabled, state NATURE of disability, e.g. blind, cripple, mentally retarded, etc.</qstnLit>
    <postQTxt>See instruction 2f</postQTxt>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Addiction</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Schizophrenia or similar serious mental illness</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Neurosis or similar less serious mental illness</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Dementia</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Mentally retarded</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Other psychological abnormality</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Blindness</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Deafness</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Deaf-mute</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Epileptic</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Cripple</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Spastic - Paraplegic</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Quadriplegic</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Hemiplegic</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Permanently ill</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>More than one disability</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>Disabled but disability unknown or not classified elsewhere</labl>
  </catgry>
  <txt>This variable records the nature of the disability of the individual household member.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V76" name="LITAFRIK" files="F2" intrvl="discrete">
  <labl>Literacy-Africaans</labl>
  <imputation>Literacy-Africaans</imputation>
  <security>Literacy-Africaans</security>
  <embargo>Literacy-Africaans</embargo>
  <respUnit>Literacy-Africaans</respUnit>
  <qstn>
    <qstnLit>12. Language and literacy: Indicate with crosses whether each person can SPEAK (communicate in), READ and/or WRITE the following languages.</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Afrikaans- Speak only</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Afrikaans- Read and write only</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Afrikaans- Speak, read and write</labl>
  </catgry>
  <txt>This variable records the level of fluency in Afrikaans of the individual household member, specifically recording whether the individual can speak, read or write in Afrikaans.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V77" name="LITENGL" files="F2" intrvl="discrete">
  <labl>Literacy-English</labl>
  <imputation>Literacy-English</imputation>
  <security>Literacy-English</security>
  <embargo>Literacy-English</embargo>
  <respUnit>Literacy-English</respUnit>
  <qstn>
    <qstnLit>12. Language and literacy: Indicate with crosses whether each person can SPEAK (communicate in), READ and/or WRITE the following languages.</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>English- Speak only</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>English- Read and write only</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>English- Speak, read and write</labl>
  </catgry>
  <txt>This variable records the level of fluency in English of the individual household member, specifically recording whether the individual can speak, read or write in English.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V78" name="LITTWANA" files="F2" intrvl="discrete">
  <labl>Literacy-Tswana</labl>
  <imputation>Literacy-Tswana</imputation>
  <security>Literacy-Tswana</security>
  <embargo>Literacy-Tswana</embargo>
  <respUnit>Literacy-Tswana</respUnit>
  <qstn>
    <qstnLit>12. Language and literacy: Indicate with crosses whether each person can SPEAK (communicate in), READ and/or WRITE the following languages.</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Twana- Speak only</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Twana- Read and write only</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Twana- Speak, read and write</labl>
  </catgry>
  <txt>This variable records the level of fluency in English of the individual household member, specifically recording whether the individual can speak, read or write in Tswana.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V79" name="LITOTHER" files="F2" intrvl="discrete">
  <labl>Literacy-other language</labl>
  <imputation>Literacy-other language</imputation>
  <security>Literacy-other language</security>
  <embargo>Literacy-other language</embargo>
  <respUnit>Literacy-other language</respUnit>
  <qstn>
    <qstnLit>12. Language and literacy: Indicate with crosses whether each person can SPEAK (communicate in), READ and/or WRITE the following languages.</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Other languages- Speak only</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Other languages- Read and write only</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Other languages- Speak, read and write</labl>
  </catgry>
  <txt>This variable records the level of fluency in any other language of the individual household member, specifically recording whether the individual can speak, read or write in said other language.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V80" name="LANGUAGE" files="F2" intrvl="discrete">
  <labl>First home language</labl>
  <imputation>First home language</imputation>
  <security>First home language</security>
  <embargo>First home language</embargo>
  <respUnit>First home language</respUnit>
  <qstn>
    <qstnLit>State which language(s) each person normally speaks at HOME.</qstnLit>
    <postQTxt>If more than one language is given against (2), which does each person speak THE MOST? See instruction 2g for blacks.</postQTxt>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Afrikaans</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>English</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Dutch</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>German</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Greece</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Italian</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Portuguese</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>French</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Tamil</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Hindi</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Telegu</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Gujarati</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Urdu</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Chinese</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Xhosa</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Zulu</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Swazi</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>South Ndebele</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>North Ndebele</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>North Sotho</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>South Sotho</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Tswana</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Shangaan/Tsonga</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Venda</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Any other languages</labl>
  </catgry>
  <txt>This variable records the first language normally spoken by the individual at home.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V81" name="LANGSEC" files="F2" intrvl="discrete">
  <labl>Second home language</labl>
  <imputation>Second home language</imputation>
  <security>Second home language</security>
  <embargo>Second home language</embargo>
  <respUnit>Second home language</respUnit>
  <qstn>
    <qstnLit>State which language(s) each person normally speaks at HOME.</qstnLit>
    <postQTxt>If more than one language is given against (2), which does each person speak THE MOST? See instruction 2g for blacks.</postQTxt>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Afrikaans</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>English</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Dutch</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>German</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Greece</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Italian</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Portuguese</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>French</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Tamil</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Hindi</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Telegu</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Gujarati</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Urdu</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Chinese</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Xhosa</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Zulu</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Swazi</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>South Ndebele</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>North Ndebele</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>North Sotho</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>South Sotho</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Tswana</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Shangaan/Tsonga</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Venda</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Any other languages</labl>
  </catgry>
  <txt>This variable records the second language normally spoken by the individual at home.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V82" name="BILINGUL" files="F2" dcml="2" intrvl="discrete">
  <labl>Both home languages spoken equally or not</labl>
  <imputation>Both home languages spoken equally or not</imputation>
  <security>Both home languages spoken equally or not</security>
  <embargo>Both home languages spoken equally or not</embargo>
  <respUnit>Both home languages spoken equally or not</respUnit>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <notes>More information on this variable is required from the data producer</notes>
  <txt>This variable records to what extent the first and second home languages are spoken.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V83" name="EDUC" files="F2" intrvl="discrete">
  <labl>Level of education</labl>
  <imputation>Level of education</imputation>
  <security>Level of education</security>
  <embargo>Level of education</embargo>
  <respUnit>Level of education</respUnit>
  <qstn>
    <qstnLit>13. Level of education: State -
- Highest school standard passed
- ALL DEGREES, DIPLOMAS and CERTIFICATES already obtained and specify directions, e.g. BSc (Mech.ENG), B.Com (Acc)</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>None</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Grades I and II (Sub A and B) a</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 (Form I)</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Standard 7 (Form II)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Standard 8 (Form III; NTS 1)</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Standard 9 (Form IV; NTS 2)</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Standard 10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Bachelors degree and equivalent</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Masters degree</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Doctorates</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 8</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's</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>Diploma/Certificate and master's</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>Diploma/Certificate and doctor's</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Unspecified</labl>
  </catgry>
  <txt>This variable records the highest completed education level of the individual household member.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V84" name="EDUCTYPE" files="F2" intrvl="discrete">
  <labl>Nature of education</labl>
  <imputation>Nature of education</imputation>
  <security>Nature of education</security>
  <embargo>Nature of education</embargo>
  <respUnit>Nature of education</respUnit>
  <qstn>
    <qstnLit>13. Level of education: State -
- Highest school standard passed
- ALL DEGREES, DIPLOMAS and CERTIFICATES already obtained and specify directions, e.g. BSc (Mech.ENG), B.Com (Acc)</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Fine Arts</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Sciences</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>General Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Agricultural Management</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Agricultural Engineering (</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Forestry</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Fishing</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>General Qualifications</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Mine Engineering</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Mine Management</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Specialisation in Mining</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Mechanical Engineering</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Civil and Structural Engineering</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Chemical Engineering</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Electrical and Electronic Engineering</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Other Engineering</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Architecture</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>Land Surveying</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>Quantity Surveying</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Town and Regional Planning</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Production Management</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Apprenticeship</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>General Commerce Qualification</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Specialisation in Commerce</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Public Administration</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>Law</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>Medical Practice</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>Paramedic</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>Nursing and Midwifery</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Dentistry</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Other Medical Qualifications</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Veterinary Qualifications</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>General Academic Education</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>Physical Education</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>Nursery School Education</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>Special Education (i.e. disabled children)</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>Other Education (Technical, Commercial, Domestic Science, Art, etc.)</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>Library Science</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Music</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Speech, Drama and Opera singing</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Other Cultural Qualifications</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>Theology</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>Social Welfare and Personnel</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>Domestic Science</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>Transport</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>Security and Defence</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>Non-Technical Trades</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>Other and Unspecified (but applicable)</labl>
  </catgry>
  <txt>This variable records the area of study/education for the individual household member.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V85" name="CEB" files="F2" dcml="2" intrvl="discrete">
  <labl>Number of children ever born</labl>
  <imputation>Number of children ever born</imputation>
  <security>Number of children ever born</security>
  <embargo>Number of children ever born</embargo>
  <respUnit>Number of children ever born</respUnit>
  <qstn>
    <qstnLit>14. Only females who have given birth - State number of children:
- EVER born alive</qstnLit>
  </qstn>
  <universe>Only females who have given birth</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records the number of children ever born to females who have given birth.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V86" name="CBLYR" files="F2" dcml="2" intrvl="discrete">
  <labl>Children born during the past year</labl>
  <imputation>Children born during the past year</imputation>
  <security>Children born during the past year</security>
  <embargo>Children born during the past year</embargo>
  <respUnit>Children born during the past year</respUnit>
  <qstn>
    <qstnLit>14. Only females who have given birth - State number of children:
- Born alive SINCE 7 MAY 1979</qstnLit>
  </qstn>
  <universe>Only females who have given birth</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records the number of live births since 7 MAY 1979 (i.e. during the last year).</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V87" name="CDLYR" files="F2" dcml="2" intrvl="discrete">
  <labl>Children died during the past year</labl>
  <imputation>Children died during the past year</imputation>
  <security>Children died during the past year</security>
  <embargo>Children died during the past year</embargo>
  <respUnit>Children died during the past year</respUnit>
  <qstn>
    <qstnLit>14. Only females who have given birth - State number of children:
- Who DIED UNDER 1 YEAR since 7 May 1979</qstnLit>
  </qstn>
  <universe>Only females who have given birth</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records the number of children who died under 1 year old since 7 May 1979 (i.e. during the last year).</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V88" name="SPORT1" files="F2" intrvl="discrete">
  <labl>First sport - type</labl>
  <imputation>First sport - type</imputation>
  <security>First sport - type</security>
  <embargo>First sport - type</embargo>
  <respUnit>First sport - type</respUnit>
  <qstn>
    <qstnLit>15. Sport and recreation: - State in order of priority:
- REGULAR sport and recreation activities</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Rugby</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Soccer</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Bowls</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Ball games (through a ring)</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Cricket</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Hockey</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Golf</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Other ball games using a bat</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Tennis</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Other games with a net and a racquet (including squash)</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Games with a net but without a racquet</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Athletics</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Gymnastics and P.E.</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Trampoline</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Body-building, Fitness Exercises and Weight-lifting</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Jogging</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Walking</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>Contact sport (boxing, wrestling, judo, etc.)</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>Fencing</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Jukskei and Horse-shoe throwing</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Target-shooting</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Boating and water-skiing</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Swimming</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Fishing</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Parachute jumping</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>Hang-gliding</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>Other Aerial sport</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>Motor racing</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>Hot-rodding</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Stock car racing</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Other motor sport</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Cycling</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Equestrian sport</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>Ice-skating, ice-hockey and snow-skiing</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>Roller skating</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>Dancing</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>Other sporting activities</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>Stamp collecting</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>Coin collecting</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Antique collecting</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Other collecting</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Chess</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>Cards</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>Knitting/crochet-work/needlework</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>Artwork</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>Wool and metal work</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>Model-building</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>Painting</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>Acting</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Playing of musical instruments</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Listening to music</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Reading</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>TV and radio (viewing and listening)</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>Radio amateur</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>Other indoor recreation</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>Community work (do-gooders)</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>Gardening</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>Birds (pigeon-racing, etc.)</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>Camping (including caravan)</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Other outdoor recreation</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Other and unspecified</labl>
  </catgry>
  <txt>This variable records the regular sport and recreation activity of the individual household member (in this instance it is the first sport or recreation activity listed by the individual - since this is recorded in order of priority).</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V89" name="COMPETE1" files="F2" intrvl="discrete">
  <labl>First sport competition basis or not</labl>
  <imputation>First sport competition basis or not</imputation>
  <security>First sport competition basis or not</security>
  <embargo>First sport competition basis or not</embargo>
  <respUnit>First sport competition basis or not</respUnit>
  <qstn>
    <qstnLit>15. Which activities are on a COMPETITION BASIS</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>sport not practiced on competitive basis</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>sport practiced on competitive basis</labl>
    <catStat type="invd"/>
  </catgry>
  <txt>This variable records whether the first sport or recreation activity is conducted on a competition basis.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V90" name="SPORT2" files="F2" intrvl="discrete">
  <labl>Second sport - type</labl>
  <imputation>Second sport - type</imputation>
  <security>Second sport - type</security>
  <embargo>Second sport - type</embargo>
  <respUnit>Second sport - type</respUnit>
  <qstn>
    <qstnLit>15. Sport and recreation: - State in order of priority:
- REGULAR sport and recreation activities</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Rugby</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Soccer</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Bowls</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Ball games (through a ring)</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Cricket</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Hockey</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Golf</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Other ball games using a bat</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Tennis</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Other games with a net and a racquet (including squash)</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Games with a net but without a racquet</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Athletics</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Gymnastics and P.E.</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Trampoline</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Body-building, Fitness Exercises and Weight-lifting</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Jogging</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Walking</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>Contact sport (boxing, wrestling, judo, etc.)</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>Fencing</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Jukskei and Horse-shoe throwing</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Target-shooting</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Boating and water-skiing</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Swimming</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Fishing</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Parachute jumping</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>Hang-gliding</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>Other Aerial sport</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>Motor racing</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>Hot-rodding</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Stock car racing</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Other motor sport</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Cycling</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Equestrian sport</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>Ice-skating, ice-hockey and snow-skiing</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>Roller skating</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>Dancing</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>Other sporting activities</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>Stamp collecting</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>Coin collecting</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Antique collecting</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Other collecting</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Chess</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>Cards</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>Knitting/crochet-work/needlework</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>Artwork</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>Wool and metal work</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>Model-building</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>Painting</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>Acting</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Playing of musical instruments</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Listening to music</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Reading</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>TV and radio (viewing and listening)</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>Radio amateur</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>Other indoor recreation</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>Community work (do-gooders)</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>Gardening</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>Birds (pigeon-racing, etc.)</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>Camping (including caravan)</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Other outdoor recreation</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Other and unspecified</labl>
  </catgry>
  <txt>This variable records the regular sport and recreation activity of the individual household member (in this instance it is the second sport or recreation activity listed by the individual - since this is recorded in order of priority).</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V91" name="COMPETE2" files="F2" intrvl="discrete">
  <labl>Second sport - competition basis or not</labl>
  <imputation>Second sport - competition basis or not</imputation>
  <security>Second sport - competition basis or not</security>
  <embargo>Second sport - competition basis or not</embargo>
  <respUnit>Second sport - competition basis or not</respUnit>
  <qstn>
    <qstnLit>15. Which activities are on a COMPETITION BASIS</qstnLit>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>sport not practiced on competitive basis</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>sport practiced on competitive basis</labl>
    <catStat type="invd"/>
  </catgry>
  <txt>This variable records whether the second sport or recreation activity is conducted on a competition basis.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V92" name="PLACEWRK" files="F2" dcml="2" intrvl="contin">
  <labl>Transport:place of work (sbrb-town area)</labl>
  <imputation>Transport:place of work (sbrb-town area)</imputation>
  <security>Transport:place of work (sbrb-town area)</security>
  <embargo>Transport:place of work (sbrb-town area)</embargo>
  <respUnit>Transport:place of work (sbrb-town area)</respUnit>
  <qstn>
    <preQTxt>16. Only persons who live, work, study or attend school in cities. - See instruction 2h.</preQTxt>
    <qstnLit>16. TOWNSHIP/SUBURB where person works/studies/attends school</qstnLit>
  </qstn>
  <universe>Only persons who live, work, study or attend school in cities.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records the township/suburb where the individual household member works, studies or attends school.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V93" name="TRANSMNS" files="F2" intrvl="discrete">
  <labl>Transport:means of transport</labl>
  <imputation>Transport:means of transport</imputation>
  <security>Transport:means of transport</security>
  <embargo>Transport:means of transport</embargo>
  <respUnit>Transport:means of transport</respUnit>
  <qstn>
    <preQTxt>16. Only persons who live, work, study or attend school in cities. - See instruction 2h.</preQTxt>
    <qstnLit>16. MAIN MODE OF TRANSPORT to said area.</qstnLit>
    <postQTxt>(If "car" also state whether driver or passenger)</postQTxt>
  </qstn>
  <universe>Only persons who live, work, study or attend school in cities.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <labl>Unspecified but applicable</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Walk</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Cycle</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Motorcycling</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Driver of vehicle</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Passenger in vehicle</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Bus</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Truck</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Train</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Other and unspecified, but nevertheless applicable</labl>
  </catgry>
  <txt>This variable records the main mode of transport used by the individual household member to their place of work, study or school.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V94" name="TRDEPTTO" files="F2" intrvl="discrete">
  <labl>Transport:departure time to pl of work</labl>
  <imputation>Transport:departure time to pl of work</imputation>
  <security>Transport:departure time to pl of work</security>
  <embargo>Transport:departure time to pl of work</embargo>
  <respUnit>Transport:departure time to pl of work</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>705</catValu>
    <labl>7.05 am</labl>
    <catStat type="vald"/>
  </catgry>
  <notes>More information on this variable is required from the data producer</notes>
  <varFormat type="numeric"/>
</var>
<var ID="V95" name="TRDEPTFR" files="F2" intrvl="discrete">
  <labl>Transport:departure time from pl of work</labl>
  <imputation>Transport:departure time from pl of work</imputation>
  <security>Transport:departure time from pl of work</security>
  <embargo>Transport:departure time from pl of work</embargo>
  <respUnit>Transport:departure time from pl of work</respUnit>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1630</catValu>
    <labl>4.30 pm</labl>
    <catStat type="vald"/>
  </catgry>
  <notes>More information on this variable is required from the data producer</notes>
  <varFormat type="numeric"/>
</var>
<var ID="V96" name="OCC80" files="F2" intrvl="discrete">
  <labl>Occupation of person 1980</labl>
  <imputation>Occupation of person 1980</imputation>
  <security>Occupation of person 1980</security>
  <embargo>Occupation of person 1980</embargo>
  <respUnit>Occupation of person 1980</respUnit>
  <qstn>
    <qstnLit>17.Occupation: i.e. nature of work done. 
- Now (6 May 1980)</qstnLit>
    <postQTxt>See instruction 2i. NB: If unemployed (i.e. looking for work) state last occupation.</postQTxt>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Chemist</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Physicist</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Natural Scientist (n.e.g.) ?</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Natural Scientist (technician)</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Architect, town planner</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Quantity Surveyor</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Civil Engineer</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Electrical and electronic engineer</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Mechanical Engineer</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Chemical Engineer</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Metallurgist</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Mine Engineer</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Engineer (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Land Surveyor</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Draughtsman</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Engineer?s technician</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Pilot, navigator, flight engineer</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>Deck officer and chief mate</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>Marine Engineer</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Biologist, botanist, zoologist</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Bacteriologist, pathologist</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Agronomist, horticulturist</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Physical scientist and technician (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Physician</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Dentist</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>Veterinarian</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>Pharmacist</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>Pharmacist?s Assistant</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>Dietician, health nutritionist</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Professional nurse</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Nursing staff n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Optician, Optometrist</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Physiotherapist, masseur</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>Radiographer</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>Health worker n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>Statistician, mathematician</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>System Analyst, programmer</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>Economist</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>Accountant and auditor</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Legal Counsel</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Judge</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Law Advisor</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>Professor, lecturer</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>Teacher</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>School Principal, inspector</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>Preacher, missionary, ordained minister</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>Religious worker</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>Librarian, archivist, curator</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>Social worker</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Sociologist, career advisor</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Author, journalist and related writer</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Sculptor, painter</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>Commercial artist, designer</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>Photographer</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>Composer, dancer and related workers</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>Actor, stage performer, producer</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>Athlete, sportsman, trainer (professional athletics, etc.)</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>Legislation officer</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>State administrator</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>General Manager</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Production Manager</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>Sales Manager</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>Administrative Manager, Secretary</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>Transport Manager</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>Credit Manager</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>Manager n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>Clerical Supervisor</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>Executive Officer (management level)</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>Stenographer, typist, telegraph operator</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>Card, tape and coding machine operator</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>Bookkeeper</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>Cashier, teller, post office clerk</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>Credit controller</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>Cost, salary, wage and finance clerk</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>Bookkeeping, adding and calculating machine operators</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>Data processing machine operator</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>Station Master (only white men)</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>Postmaster</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>Transport and communication supervisor (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>Transport conductor, ticket examiner</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>Mail distribution clerk</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>TELEPHONE AND TELEGRAPH OPERATOR</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>Provisions clerk</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>Correspondence and reporting clerk</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>Receptionist and travel agency clerk</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>Clerk (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>Manager (wholesale and retail)</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>Working owner (wholesale and retail)</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>Sales Supervisor</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>Buyer</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>Technical salesman, service advisor</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>Commercial traveler, manufacturer?s agent</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>Insurance, fixed property agent</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>Business services salesperson</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Auctioneer, valuator and market agent</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Broker and agent (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Salesperson, shop assistant, demonstrator</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Street vendor, recruiter, newspaper seller</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>Sales worker</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>Manager (refreshments and accommodation)</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>Working owner (refreshments and accommodation)</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>Housekeeping and related service supervisor</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>Chef</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>Table waiter, barman and related worker</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>Domestic servant (not on farm)</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>Domestic servant (on farm)</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>Chamber maid, chamber and bedroom maids</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>Building caretaker</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>Casual worker, cleaner and related worker</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>Laundry worker, dry cleaner, presser</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>Hairdresser, barber, beautician</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>Fire brigade officer</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>Staff in uniform (Armed forces, police, prisons)</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>Traffic officer, parking attendants</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>Protection service worker n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>Funeral undertaker, embalmer</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>Air Hostess, guide, lift operator, etc.</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>Farmer</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>Farm Manager, supervisor</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Farm worker (general)</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>Farm worker (general, seasonal or part-time)</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>Farm machinery operator</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>Other farm worker</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>Vegetable farmer, nursery worker, gardener</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>Agricultural and livestock worker n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>Forestry worker</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>Fisherman, trawlermen, seal-hunters, etc.</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>Hunter, game rangers and related workers</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>Mining, quarries, drilling</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>Metal processing</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>Chemical and related processing</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>Manufacturing-machinery and metal products</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>Manufacturing of electrical equipment</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>Manufacturing, paper, plastic, etc. products</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>Food and beverage processing</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>Production textiles, clothing manufacture</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>Construction work</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>Other production supervisors, general foremen</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>Rock-breaker (mine), mineworker</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>Quarry worker</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>Drilling machine operator (mine and quarry worker)</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>Other mining machine operator</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>Mine and development production worker</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>Loader and cocopan feeder</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>Other mine and quarry worker</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>Alluvial diamond digger</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>Mineral and stone preparer</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>Well-sinker, driller (oil, gas and water)</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>Metal smelting and refinery, furnace worker</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>Metal roller mill worker</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>Metal smelter and reheater</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>Metal moulder/caster</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>Founder, coremaker</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>Metal pourer, temperer, casing setter</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>Metal pusher</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>Metal sheetmakerr and coverer</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>Metal processor (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>Timber treatment worker</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>Sawyer, plywood-maker and related timber worker</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>Paper pulp preparer and paper maker</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>Mincer, grinder and mixer</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>Boiler, roaster and related heat treatment worker</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>Filter and separator operator</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>Distiller and reactor operator</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>Petroleum refinery worker</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>Chemical processor (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>Fibre preparer</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>Spinner and coiler</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>Weaving and knitting machine setter</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>Weaver and related worker</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>Knitter</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>Bleacher, dyer, textile product finisher</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>Edging and crochet worker, felt block maker</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>Tanner, wool remover and hide curer</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>Grain miller and related worker</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>Sugar processor and refinery worker</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>Butcher and meat preparer</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>Canner</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>Dairy product processor</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>Baker, pastry baker and confectioner</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>Brewer, wine and liquor maker</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>Food and beverage worker (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>Cigarette maker</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>Tobacco product maker (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>Tailor and seamstress</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>Fur seamstress and related worker</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>Milliner</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>Pattern-maker and cutter</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>Stitcher and embroiderer</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>Upholsterer and related worker</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>Canvas tent and awning maker</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>Shoemaker and repairer</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>Shoe cutter, last worker, stitcher</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>Leather goods maker, except clothing articles</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>Cabinet maker</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>Woodwork machine operator</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>Coach-builder, furniture finisher and polisher</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>Stone-cutter and chiseller</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Blacksmith, casting press operator</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Toolmaker, metal marker, pattern-maker</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>Tool setter and operator</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>Power tool operator</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>Metal sander, polisher, tool sharpener</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>Locksmith, metal worker n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>Machine fitter and assembler</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>Watch and precision instrument maker</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>Motor mechanic</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>Aeroplane mechanic</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>Diesel machine mechanic, except motor</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>Office machine mechanic</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>Oil and grease applier</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>Mechanic and related worker (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>Electric and electronic fitter</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>Electric, electronic equipment assembler</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>Radio and TV repairman</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>Electric wireman (construction)</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>Other electric wireman</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>Telephone and telegraph installers</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>Electric lineman and cable-joiner</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>Electric and electronic worker n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>Broadcasting station and projector operator</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>Plumber and pipefitter (construction)</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>Plumber and pipefitter (not construction)</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>Welder and flame-cutter</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>Vehicle sheet metal worker, panel beater</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>Sheet metal worker (construction)</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>Boiler-maker, copperplate worker, boiler-smith</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>Sheet metal worker n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>Structural metal manufacturer</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>Structural metal work supervisor</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>Structural metal worker n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>Jeweller and precious metal worker</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>Glass-blower, cutter, polisher and finisher</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>Potter, clay-moulder</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>Glass and ceramic melting furnace worker</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>Engraver, etcher, glass and ceramic decorator</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>Glass and pottery worker n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>Rubber and plastic product maker</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>Tyre maker and vulcanizer</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>Paper and cardboard product maker</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>Type-setter and mould casting</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>Printing press worker</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>Stereotyper and electrotyper</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>Print engraver (except photo-engraving)</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>Photo-engraver</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>Book-binder and related worker</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>Photographic darkroom worker</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>Block and textile printer and related worker</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>Painter (construction)</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>Painter (ship, railway carriage and truck)</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>Spray painter and panel beater</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>Other painter n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>Maker of cement, cement and asbestos products</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>Other production and related worker n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>Bricklayer, stone mason and tiler</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>Reinforced concrete and terazzo worker</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>Roof worker</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>Carpenter, joiner (construction)</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>Carpenter, joiner (ships and mines)</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>Plasterer</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>Glazer</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>Vehicle glazer (motor and rail vehicle)</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>Construction worker n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>Electric power developer operator</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>Stationary engine and equipment operator n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>Dock worker, stevedore</labl>
  </catgry>
  <catgry>
    <catValu>267</catValu>
    <labl>Railway, aeroplane and road vehicle loader</labl>
  </catgry>
  <catgry>
    <catValu>268</catValu>
    <labl>Packer and label affixer</labl>
  </catgry>
  <catgry>
    <catValu>269</catValu>
    <labl>Other freight ad baggage handler</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>Rigger and cable-joiner</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>Crane and hoisting apparatus operator</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>Earth-moving machine operator (construction)</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>Earth-moving machine operator (mine, quarry)</labl>
  </catgry>
  <catgry>
    <catValu>274</catValu>
    <labl>Material handling equipment operator (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>275</catValu>
    <labl>Deck worker, ship?s crew, boat worker</labl>
  </catgry>
  <catgry>
    <catValu>276</catValu>
    <labl>Ship?s engine room worker</labl>
  </catgry>
  <catgry>
    <catValu>277</catValu>
    <labl>Railway engine driver, stoker</labl>
  </catgry>
  <catgry>
    <catValu>278</catValu>
    <labl>Railway brakesman, signal-man, shunter</labl>
  </catgry>
  <catgry>
    <catValu>279</catValu>
    <labl>Taxi driver</labl>
  </catgry>
  <catgry>
    <catValu>280</catValu>
    <labl>Bus driver</labl>
  </catgry>
  <catgry>
    <catValu>281</catValu>
    <labl>Truck driver, truck and delivery-van driver</labl>
  </catgry>
  <catgry>
    <catValu>282</catValu>
    <labl>Other motor vehicle driver n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>283</catValu>
    <labl>Transport equipment operator n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>284</catValu>
    <labl>Labourer</labl>
  </catgry>
  <catgry>
    <catValu>285</catValu>
    <labl>Profession unknown but is nevertheless employed</labl>
  </catgry>
  <catgry>
    <catValu>286</catValu>
    <labl>Unemployed, profession unspecified</labl>
  </catgry>
  <catgry>
    <catValu>287</catValu>
    <labl>Housewife</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>Child (not scholar,14 years or younger)</labl>
  </catgry>
  <catgry>
    <catValu>289</catValu>
    <labl>Scholar or student</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>Inmate of an institution</labl>
  </catgry>
  <catgry>
    <catValu>291</catValu>
    <labl>Pensioner</labl>
  </catgry>
  <catgry>
    <catValu>292</catValu>
    <labl>Other non-economic activity</labl>
  </catgry>
  <catgry>
    <catValu>293</catValu>
    <labl>Foreign visitor</labl>
  </catgry>
  <txt>This variable records the occupation of the individual respondent in the year 1980 (6 May 1980).</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V97" name="OCC75" files="F2" intrvl="discrete">
  <labl>Occupation of person 1975</labl>
  <imputation>Occupation of person 1975</imputation>
  <security>Occupation of person 1975</security>
  <embargo>Occupation of person 1975</embargo>
  <respUnit>Occupation of person 1975</respUnit>
  <qstn>
    <qstnLit>17.Occupation: i.e. nature of work done. 
- 5 years ago (May 1975)</qstnLit>
    <postQTxt>See instruction 2i. NB: If unemployed (i.e. looking for work) state last occupation.</postQTxt>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Chemist</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Physicist</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Natural Scientist (n.e.g.) ?</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Natural Scientist (technician)</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Architect, town planner</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Quantity Surveyor</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Civil Engineer</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Electrical and electronic engineer</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Mechanical Engineer</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Chemical Engineer</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Metallurgist</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Mine Engineer</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Engineer (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Land Surveyor</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Draughtsman</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Engineer?s technician</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Pilot, navigator, flight engineer</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>Deck officer and chief mate</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>Marine Engineer</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Biologist, botanist, zoologist</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Bacteriologist, pathologist</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Agronomist, horticulturist</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Physical scientist and technician (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Physician</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Dentist</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>Veterinarian</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>Pharmacist</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>Pharmacist?s Assistant</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>Dietician, health nutritionist</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Professional nurse</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Nursing staff n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Optician, Optometrist</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Physiotherapist, masseur</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>Radiographer</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>Health worker n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>Statistician, mathematician</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>System Analyst, programmer</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>Economist</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>Accountant and auditor</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Legal Counsel</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Judge</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Law Advisor</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>Professor, lecturer</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>Teacher</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>School Principal, inspector</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>Preacher, missionary, ordained minister</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>Religious worker</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>Librarian, archivist, curator</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>Social worker</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Sociologist, career advisor</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Author, journalist and related writer</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Sculptor, painter</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>Commercial artist, designer</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>Photographer</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>Composer, dancer and related workers</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>Actor, stage performer, producer</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>Athlete, sportsman, trainer (professional athletics, etc.)</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>Legislation officer</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>State administrator</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>General Manager</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Production Manager</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>Sales Manager</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>Administrative Manager, Secretary</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>Transport Manager</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>Credit Manager</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>Manager n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>Clerical Supervisor</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>Executive Officer (management level)</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>Stenographer, typist, telegraph operator</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>Card, tape and coding machine operator</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>Bookkeeper</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>Cashier, teller, post office clerk</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>Credit controller</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>Cost, salary, wage and finance clerk</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>Bookkeeping, adding and calculating machine operators</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>Data processing machine operator</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>Station Master (only white men)</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>Postmaster</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>Transport and communication supervisor (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>Transport conductor, ticket examiner</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>Mail distribution clerk</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>TELEPHONE AND TELEGRAPH OPERATOR</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>Provisions clerk</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>Correspondence and reporting clerk</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>Receptionist and travel agency clerk</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>Clerk (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>Manager (wholesale and retail)</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>Working owner (wholesale and retail)</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>Sales Supervisor</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>Buyer</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>Technical salesman, service advisor</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>Commercial traveler, manufacturer?s agent</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>Insurance, fixed property agent</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>Business services salesperson</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Auctioneer, valuator and market agent</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Broker and agent (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Salesperson, shop assistant, demonstrator</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Street vendor, recruiter, newspaper seller</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>Sales worker</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>Manager (refreshments and accommodation)</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>Working owner (refreshments and accommodation)</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>Housekeeping and related service supervisor</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>Chef</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>Table waiter, barman and related worker</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>Domestic servant (not on farm)</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>Domestic servant (on farm)</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>Chamber maid, chamber and bedroom maids</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>Building caretaker</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>Casual worker, cleaner and related worker</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>Laundry worker, dry cleaner, presser</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>Hairdresser, barber, beautician</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>Fire brigade officer</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>Staff in uniform (Armed forces, police, prisons)</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>Traffic officer, parking attendants</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>Protection service worker n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>Funeral undertaker, embalmer</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>Air Hostess, guide, lift operator, etc.</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>Farmer</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>Farm Manager, supervisor</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Farm worker (general)</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>Farm worker (general, seasonal or part-time)</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>Farm machinery operator</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>Other farm worker</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>Vegetable farmer, nursery worker, gardener</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>Agricultural and livestock worker n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>Forestry worker</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>Fisherman, trawlermen, seal-hunters, etc.</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>Hunter, game rangers and related workers</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>Mining, quarries, drilling</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>Metal processing</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>Chemical and related processing</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>Manufacturing-machinery and metal products</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>Manufacturing of electrical equipment</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>Manufacturing ? paper, plastic, etc. products</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>Food and beverage processing</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>Production textiles, clothing manufacture</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>Construction work</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>Other production supervisors, general foremen</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>Rock-breaker (mine), mineworker</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>Quarry worker</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>Drilling machine operator (mine and quarry worker)</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>Other mining machine operator</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>Mine and development production worker</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>Loader and cocopan feeder</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>Other mine and quarry worker</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>Alluvial diamond digger</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>Mineral and stone preparer</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>Well-sinker, driller (oil, gas and water)</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>Metal smelting and refinery, furnace worker</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>Metal roller mill worker</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>Metal smelter and reheater</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>Metal moulder/caster</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>Founder, coremaker</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>Metal pourer, temperer, casing setter</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>Metal pusher</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>Metal sheetmakerr and coverer</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>Metal processor (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>Timber treatment worker</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>Sawyer, plywood-maker and related timber worker</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>Paper pulp preparer and paper maker</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>Mincer, grinder and mixer</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>Boiler, roaster and related heat treatment worker</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>Filter and separator operator</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>Distiller and reactor operator</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>Petroleum refinery worker</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>Chemical processor (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>Fibre preparer</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>Spinner and coiler</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>Weaving and knitting machine setter</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>Weaver and related worker</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>Knitter</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>Bleacher, dyer, textile product finisher</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>Edging and crochet worker, felt block maker</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>Tanner, wool remover and hide curer</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>Grain miller and related worker</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>Sugar processor and refinery worker</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>Butcher and meat preparer</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>Canner</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>Dairy product processor</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>Baker, pastry baker and confectioner</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>Brewer, wine and liquor maker</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>Food and beverage worker (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>Cigarette maker</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>Tobacco product maker (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>Tailor and seamstress</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>Fur seamstress and related worker</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>Milliner</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>Pattern-maker and cutter</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>Stitcher and embroiderer</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>Upholsterer and related worker</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>Canvas tent and awning maker</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>Shoemaker and repairer</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>Shoe cutter, last worker, stitcher</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>Leather goods maker, except clothing articles</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>Cabinet maker</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>Woodwork machine operator</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>Coach-builder, furniture finisher and polisher</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>Stone-cutter and chiseller</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Blacksmith, casting press operator</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Toolmaker, metal marker, pattern-maker</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>Tool setter and operator</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>Power tool operator</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>Metal sander, polisher, tool sharpener</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>Locksmith, metal worker n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>Machine fitter and assembler</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>Watch and precision instrument maker</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>Motor mechanic</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>Aeroplane mechanic</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>Diesel machine mechanic, except motor</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>Office machine mechanic</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>Oil and grease applier</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>Mechanic and related worker (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>Electric and electronic fitter</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>Electric, electronic equipment assembler</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>Radio and TV repairman</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>Electric wireman (construction)</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>Other electric wireman</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>Telephone and telegraph installers</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>Electric lineman and cable-joiner</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>Electric and electronic worker n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>Broadcasting station and projector operator</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>Plumber and pipefitter (construction)</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>Plumber and pipefitter (not construction)</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>Welder and flame-cutter</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>Vehicle sheet metal worker, panel beater</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>Sheet metal worker (construction)</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>Boiler-maker, copperplate worker, boiler-smith</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>Sheet metal worker n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>Structural metal manufacturer</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>Structural metal work supervisor</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>Structural metal worker n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>Jeweller and precious metal worker</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>Glass-blower, cutter, polisher and finisher</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>Potter, clay-moulder</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>Glass and ceramic melting furnace worker</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>Engraver, etcher, glass and ceramic decorator</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>Glass and pottery worker n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>Rubber and plastic product maker</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>Tyre maker and vulcanizer</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>Paper and cardboard product maker</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>Type-setter and mould casting</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>Printing press worker</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>Stereotyper and electrotyper</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>Print engraver (except photo-engraving)</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>Photo-engraver</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>Book-binder and related worker</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>Photographic darkroom worker</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>Block and textile printer and related worker</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>Painter (construction)</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>Painter (ship, railway carriage and truck)</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>Spray painter and panel beater</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>Other painter n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>Maker of cement, cement and asbestos products</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>Other production and related worker n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>Bricklayer, stone mason and tiler</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>Reinforced concrete and terazzo worker</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>Roof worker</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>Carpenter, joiner (construction)</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>Carpenter, joiner (ships and mines)</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>Plasterer</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>Glazer</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>Vehicle glazer (motor and rail vehicle)</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>Construction worker n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>Electric power developer operator</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>Stationary engine and equipment operator n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>Dock worker, stevedore</labl>
  </catgry>
  <catgry>
    <catValu>267</catValu>
    <labl>Railway, aeroplane and road vehicle loader</labl>
  </catgry>
  <catgry>
    <catValu>268</catValu>
    <labl>Packer and label affixer</labl>
  </catgry>
  <catgry>
    <catValu>269</catValu>
    <labl>Other freight ad baggage handler</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>Rigger and cable-joiner</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>Crane and hoisting apparatus operator</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>Earth-moving machine operator (construction)</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>Earth-moving machine operator (mine, quarry)</labl>
  </catgry>
  <catgry>
    <catValu>274</catValu>
    <labl>Material handling equipment operator (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>275</catValu>
    <labl>Deck worker, ship?s crew, boat worker</labl>
  </catgry>
  <catgry>
    <catValu>276</catValu>
    <labl>Ship?s engine room worker</labl>
  </catgry>
  <catgry>
    <catValu>277</catValu>
    <labl>Railway engine driver, stoker</labl>
  </catgry>
  <catgry>
    <catValu>278</catValu>
    <labl>Railway brakesman, signal-man, shunter</labl>
  </catgry>
  <catgry>
    <catValu>279</catValu>
    <labl>Taxi driver</labl>
  </catgry>
  <catgry>
    <catValu>280</catValu>
    <labl>Bus driver</labl>
  </catgry>
  <catgry>
    <catValu>281</catValu>
    <labl>Truck driver, truck and delivery-van driver</labl>
  </catgry>
  <catgry>
    <catValu>282</catValu>
    <labl>Other motor vehicle driver n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>283</catValu>
    <labl>Transport equipment operator n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>284</catValu>
    <labl>Labourer</labl>
  </catgry>
  <catgry>
    <catValu>285</catValu>
    <labl>Profession unknown but is nevertheless employed</labl>
  </catgry>
  <catgry>
    <catValu>286</catValu>
    <labl>Unemployed, profession unspecified</labl>
  </catgry>
  <catgry>
    <catValu>287</catValu>
    <labl>Housewife</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>Child (not scholar, 14 years or younger)</labl>
  </catgry>
  <catgry>
    <catValu>289</catValu>
    <labl>Scholar or student</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>Inmate of an institution</labl>
  </catgry>
  <catgry>
    <catValu>291</catValu>
    <labl>Pensioner</labl>
  </catgry>
  <catgry>
    <catValu>292</catValu>
    <labl>Other non-economic activity</labl>
  </catgry>
  <catgry>
    <catValu>293</catValu>
    <labl>Foreign visitor</labl>
  </catgry>
  <txt>This variable records the occupation of the individual respondent in the year 1975 (May 1975).</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V98" name="WORKSTAT" files="F2" intrvl="discrete">
  <labl>Work status</labl>
  <imputation>Work status</imputation>
  <security>Work status</security>
  <embargo>Work status</embargo>
  <respUnit>Work status</respUnit>
  <qstn>
    <qstnLit>18. Present work status: E.g. employee, employer, unemployed, (looking for work), not working (not looking for work), etc.</qstnLit>
    <postQTxt>See instruction 2j</postQTxt>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Employer (includes working for own account and family worker)</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 economically active</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Foreign visitor</labl>
  </catgry>
  <txt>This variable records the current work status of the individual household member.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V99" name="WKLAWEEK" files="F2" dcml="2" intrvl="discrete">
  <labl>Jobseekers:worked during past week</labl>
  <imputation>Jobseekers:worked during past week</imputation>
  <security>Jobseekers:worked during past week</security>
  <embargo>Jobseekers:worked during past week</embargo>
  <respUnit>Jobseekers:worked during past week</respUnit>
  <qstn>
    <preQTxt>Only persons not working but seeking work</preQTxt>
    <qstnLit>19. Did person WORK during past week?</qstnLit>
  </qstn>
  <universe>Only persons not working but seeking work</universe>
  <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>This variable records whether the individual household member worked during the past week or not.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V100" name="WKLOOKED" files="F2" dcml="2" intrvl="discrete">
  <labl>Jobseekers:purposefully looked for job</labl>
  <imputation>Jobseekers:purposefully looked for job</imputation>
  <security>Jobseekers:purposefully looked for job</security>
  <embargo>Jobseekers:purposefully looked for job</embargo>
  <respUnit>Jobseekers:purposefully looked for job</respUnit>
  <qstn>
    <preQTxt>Only persons not working but seeking work</preQTxt>
    <qstnLit>19. If not, did he/she purposefully SEEK work?</qstnLit>
  </qstn>
  <universe>Only persons not working but seeking work</universe>
  <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>This variable records whether the individual household member purposefully sought work.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V101" name="WKAGAIN" files="F2" dcml="2" intrvl="discrete">
  <labl>Jobseekers:when can start working again</labl>
  <imputation>Jobseekers:when can start working again</imputation>
  <security>Jobseekers:when can start working again</security>
  <embargo>Jobseekers:when can start working again</embargo>
  <respUnit>Jobseekers:when can start working again</respUnit>
  <qstn>
    <preQTxt>Only persons not working but seeking work</preQTxt>
    <qstnLit>19. If work is found, WHEN can he/she begin?</qstnLit>
  </qstn>
  <universe>Only persons not working but seeking work</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Within a week</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>After a week</labl>
    <catStat type="invd"/>
  </catgry>
  <txt>This variable records how soon the individual household member could start work if work was found.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V102" name="EMPLOYER" files="F2" 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>20. Name of employer:</qstnLit>
    <postQTxt>See instruction 2k</postQTxt>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Central Government of the relevant independent State</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Provincial Administration</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Local Authorities</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>R.S.A. Government plus governments of other independent states</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>S.A.R. and H, S.A.A., H.P.K. (?)</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Public Corporations (see list K)</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Private Businesses</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Non-profit Institutions</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Private Households</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Unemployment and not economically active or unspecified</labl>
  </catgry>
  <txt>This variable identifies the identity of the employer of the individual household member.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V103" name="IND" files="F2" intrvl="discrete">
  <labl>Industry</labl>
  <imputation>Industry</imputation>
  <security>Industry</security>
  <embargo>Industry</embargo>
  <respUnit>Industry</respUnit>
  <qstn>
    <qstnLit>21. Nature/main activity of industry or profession in which working. - E.g. agriculture, shoe factory, café, furniture shop, etc.</qstnLit>
    <postQTxt>See instruction 2 l</postQTxt>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Agriculture and Animal Husbandry</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Agricultural services (except Veterinarian)</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Hunting, game capturing and game ranching</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Forestry, including forestry services</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Lumbering</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Deep sea and coastal fishing</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Whale-catching</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Seal-capturing, collecting penguin eggs</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Inland fishing</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Coal mining, including coke ovens</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Crude petroleum and natural gas products</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Iron mining</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Chromium</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Copper</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Manganese</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Platinum ore</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Other non-ferreous ore, except gold</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>Gold and uranium mining</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>Diamond mining and alluvial diamond digging</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Granite and wonderstone</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Limestone and limeworks</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Other quarries, clay and sand pits</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Phosphates</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Other chemical of fertilizer minerals</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Salt mining and evaporation</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>Precious and semi-precious stones</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>Asbestos</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>Other non-metalliferous minerals</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>Prospecting (for own account)</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Slaughter and preparation of meat</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Dairy products</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Canning of fruit and vegetables</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Canning and processing of fish and crustaceans</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>Plant and animal oil and fats</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>Grain milling products</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>Bakery products</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>Sugar factories and refineries</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>Cocoa, chocolate and confectionery</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>Other food products (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Prepared animal food</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Spirits and wine</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Malt liquor and malt</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>Cooldrink and carbonated water industries</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>Tobacco manufacturers</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>Spinning, weaving and finishing</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>Processed textile goods</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>Knitting factories</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>Carpets and rugs</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>String and rope-work and thread</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Textiles (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Clothing, except shoes</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Tanneries and leather finishing</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>Leather products and surrogates</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>Shoes</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>Lumber-mills, planing and other saw mills</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>Timber and cane containers, small cane items</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>Timber and cork products (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>Furniture and accessories</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>Pulp, paper and cardboard</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Packaging material</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Pulp, paper and cardboard products (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>PRINTING, PUBLISHING AND BOOK-BINDING</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>INDUSTRIAL CHEMICALS</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>Paints, varnish and lac varnish</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>Medicinal and veterinary products</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>Cleaning and cosmetic products</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>Chemical products (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>Petrol refineries</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>PETROLEUM AND COAL PRODUCTS</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>Inner tubes and tyres</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>Rubber products (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>Plastic products (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>Pottery, ceramics and porcelain</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>Glass and glass products</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>Building clay products</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>Cement</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>Non-metalliferous mineral producers (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>Iron and steel basis industries</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>Non-ferreous basis metal industries</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>Table and hand equipment and general hardware</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>Furniture and accessories made of metal</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>Building metal products</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>Metal products, except machinery n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>Engines and turbines</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>Agricultural machinery and equipment</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>Metal and timber processing machinery</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>Industrial machinery and equipment</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>Office, data-processing and calculating machinery</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>Machinery and equipment n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>Electric industrial machinery</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>Radio, TV and communication equipment</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>Electric household appliances</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>Isolated wiring and cables</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>Batteries</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Motor vehicles</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Caravans, trailers and vehicle bodies</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Motor spares and accessories</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>Specialised motor engineering workshop</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>Building and repair of ships</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>Railway equipment</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>Motorcycles and bicycles</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>Manufacture of aeroplanes</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>Transport equipment n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>Professional and scientific instruments</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>Photographic and ophthalmic products</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>Watches and clocks</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>Jewellery and related items</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>Music instruments</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>Sport and athletic outfits</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>Toys</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>Brushes and brooms</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>Buttons, clasps, zips, etc.</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>Signs, except electrical and mechanical</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>Signs, electrical and mechanical</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>Manufacturing industries (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>Electric lights and power</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>Gas and steam manufacture and distribution</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>Water works and supply</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Building construction</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>Civil engineering, road construction, construction.</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>Wholesale and retail, computer hire, rental and repair</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>Vehicle trade, accessories and repair</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>Commercial agents and related services</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>Specialised repair services</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>Agricultural Control Boards</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>Refreshment services</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>Accommodation services</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>Inter-urban and suburban railways</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>Road passenger transport</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>Taxi?s</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>Safari?s</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>Other passenger land transport</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>Road freightage, including furniture removals</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>Pipeline transport</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>Support services, land transport</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>Sea and coastal transport</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>Handling of air-freight</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>Support services: Water transport</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>Aerial transport, passenger and cargo</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>Support services: Aerial transport</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>Shipping, consignment and clearing agents</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>Travel agents</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>Services additional to transport</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>Storage and warehouses</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>Communication</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>SA Reserve Bank</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>Land and Agricultural Bank of SA</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>Other banks</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>Stock brokers</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>Building societies</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>Other financial institutions</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>Financial services</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>Insurance institutions</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>Insurance services</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>Fixed property</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>Legal services</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>Accounting, auditing, bookkeeping services</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>Data-processing and tabulating services</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>Consulting engineers</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>Architects and quantity surveyors</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>Land surveyors</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>Technical services n.e.g.</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>Advertising agents</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>Advertising services</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>Credit assessment agencies</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>Shorthand, duplication, addressing services</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>News agencies</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>Business management</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>Detective agencies, protection services</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>Labour agencies, recruitment corporations</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>Consumer buying associations</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>Other business services</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>Machinery and equipment, hire and rental</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>Public administration</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>Sanitation, waste and sewerage removals</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>Cleaning (buildings), fumigation, disinfection</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>University, colleges for advanced technical training</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>Teaching colleges</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>Primary and secondary schools</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>Other teaching services.</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>General, e.g. CSIR</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>Agricultural, dairy, animal husbandry</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>Medical and veterinary</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>Industrial, e.g. fuel research</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>Other research (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>Medical practitioners and specialists</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>Dentists, dental surgery</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>Medical helpers</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>In-patient institutes</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>Care clinics for expectant mothers and babies</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>Home care</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>Chiropractitioners</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>Other health services</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>Veterinary services</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>WELFARE ORGANISATIONS</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>BUSINESS, PROFESSIONAL, LABOUR ORGANISATIONS</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>RELIGIOUS ORGANISATIONS</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Political organisations</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Cultural organisations</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>Other social and community services</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>Film production</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>Film distribution and projection</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>Radio and TV broadcasts</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>Dramatic productions, entertainment services</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>Writers, composers, artists (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>Libraries</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>Museums and art galleries</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>Botanical gardens and zoos</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>Circus, magicians, relevant performers</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>Professional sport promotion, sportsmen</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>Racing clubs</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>Dance-studios, halls and bands</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>Sport and games clubs</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>Pet clubs and associations</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>Horticultural societies</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>Sundry entertainment institutions</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>Laundries, laundry services, colour installations</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>Household services</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>Barber and beautician services</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>Photographic studios</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>Funeral parlours, crematorium</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>Personal services (n.e.g.)</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>International and exterritorial bodies</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>UNCLASSIFIABLE BUT NEVERTHELESS EMPLOYED</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>NOT APPLICABLE (UNEMPLOYED)</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>NON-ECONOMIC ACTIVITY</labl>
  </catgry>
  <txt>This variable records the economic sector which the individual household member is employed in.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V104" name="INCOME" files="F2" intrvl="discrete">
  <labl>Income of person</labl>
  <imputation>Income of person</imputation>
  <security>Income of person</security>
  <embargo>Income of person</embargo>
  <respUnit>Income of person</respUnit>
  <qstn>
    <qstnLit>22. Annual income (all sources)</qstnLit>
    <postQTxt>See instruction 2m</postQTxt>
  </qstn>
  <universe>Answer this part in respect of every person at midnight between 6 and 7 May 1980. (Only one person per column.)</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>000 None</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2-99 Rands</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>100-199 Rands</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>200-299 Rands</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>300-399 Rands</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>400-499 Rands</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>500-599 Rands</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>600-799 Rands</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>800-999 Rands</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>1000-1199 Rands</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>1200-1599 Rands</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>1600-1999 Rands</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>2000-2399 Rands</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>2400-2999 Rands</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>3000-3509 Rands</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>3600-4199 Rands</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>4200-5099 Rands</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>5100-5999 Rands</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>6000-7199 Rands</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>7200-8399 Rands</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>8400-9999 Rands</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>10000-11999 Rands</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>12000-14000 Rands</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>15000-17999 Rands</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>18000-21999 Rands</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>22000-25979 Rands</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>26000-29999 Rands</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>30000-35999 Rands</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>36000-41999 Rands</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>42000-49000 Rands</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>50000-59999 Rands</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>60000-69999 Rands</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>70000-79999 Rands</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>80000-89999 Rands</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>90000-99998 Rands</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>99999- Rands</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>0000 (unknown (?)</labl>
  </catgry>
  <txt>This variable records the annual income from all sources for the individual household member for the 12 MONTHS ended 30/4/1980 or 29/2/1980.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V105" name="REFRIG" files="F2" dcml="2" intrvl="discrete">
  <labl>Amenities: refrigerators</labl>
  <imputation>Amenities: refrigerators</imputation>
  <security>Amenities: refrigerators</security>
  <embargo>Amenities: refrigerators</embargo>
  <respUnit>Amenities: refrigerators</respUnit>
  <qstn>
    <preQTxt>PART B: AMENITIES - Indicate HOW MANY of the following amenties are at the sole disposal of the persons enumerated in part A. When the form is not filled in at your home, or when the head of family is absent from the home dwelling, but other members of the family are at home, see instruction 3a. Also see instruction 3b.</preQTxt>
    <qstnLit>Refrigerator (including combination refrigerator/deepfreezer)</qstnLit>
  </qstn>
  <universe>All persons enumerated in part A.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records how many refrigerators are at the sole disposal of the persons enumerated in part A.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V106" name="FREEZER" files="F2" dcml="2" intrvl="discrete">
  <labl>Amenities: deep freezers</labl>
  <imputation>Amenities: deep freezers</imputation>
  <security>Amenities: deep freezers</security>
  <embargo>Amenities: deep freezers</embargo>
  <respUnit>Amenities: deep freezers</respUnit>
  <qstn>
    <preQTxt>PART B: AMENITIES - Indicate HOW MANY of the following amenties are at the sole disposal of the persons enumerated in part A. When the form is not filled in at your home, or when the head of family is absent from the home dwelling, but other members of the family are at home, see instruction 3a. Also see instruction 3b.</preQTxt>
    <qstnLit>Separate deep-freezer</qstnLit>
  </qstn>
  <universe>All persons enumerated in part A.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records how many deep-freezers are at the sole disposal of the persons enumerated in part A.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V107" name="STOVES" files="F2" dcml="2" intrvl="discrete">
  <labl>Amenities: stoves</labl>
  <imputation>Amenities: stoves</imputation>
  <security>Amenities: stoves</security>
  <embargo>Amenities: stoves</embargo>
  <respUnit>Amenities: stoves</respUnit>
  <qstn>
    <preQTxt>PART B: AMENITIES - Indicate HOW MANY of the following amenties are at the sole disposal of the persons enumerated in part A. When the form is not filled in at your home, or when the head of family is absent from the home dwelling, but other members of the family are at home, see instruction 3a. Also see instruction 3b.</preQTxt>
    <qstnLit>Stove</qstnLit>
  </qstn>
  <universe>All persons enumerated in part A.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records how many stoves are at the sole disposal of the persons enumerated in part A.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V108" name="WASHMACH" files="F2" dcml="2" intrvl="discrete">
  <labl>Amenities: washing machines</labl>
  <imputation>Amenities: washing machines</imputation>
  <security>Amenities: washing machines</security>
  <embargo>Amenities: washing machines</embargo>
  <respUnit>Amenities: washing machines</respUnit>
  <qstn>
    <preQTxt>PART B: AMENITIES - Indicate HOW MANY of the following amenties are at the sole disposal of the persons enumerated in part A. When the form is not filled in at your home, or when the head of family is absent from the home dwelling, but other members of the family are at home, see instruction 3a. Also see instruction 3b.</preQTxt>
    <qstnLit>Washing machine</qstnLit>
  </qstn>
  <universe>All persons enumerated in part A.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records how many washing machines are at the sole disposal of the persons enumerated in part A.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V109" name="RADIO" files="F2" dcml="2" intrvl="discrete">
  <labl>Amenities: radios</labl>
  <imputation>Amenities: radios</imputation>
  <security>Amenities: radios</security>
  <embargo>Amenities: radios</embargo>
  <respUnit>Amenities: radios</respUnit>
  <qstn>
    <preQTxt>PART B: AMENITIES - Indicate HOW MANY of the following amenties are at the sole disposal of the persons enumerated in part A. When the form is not filled in at your home, or when the head of family is absent from the home dwelling, but other members of the family are at home, see instruction 3a. Also see instruction 3b.</preQTxt>
    <qstnLit>Radio (including car radio)</qstnLit>
  </qstn>
  <universe>All persons enumerated in part A.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records how many radios (including car radios) are at the sole disposal of the persons enumerated in part A.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V110" name="TV" files="F2" dcml="2" intrvl="discrete">
  <labl>Amenities: televisions</labl>
  <imputation>Amenities: televisions</imputation>
  <security>Amenities: televisions</security>
  <embargo>Amenities: televisions</embargo>
  <respUnit>Amenities: televisions</respUnit>
  <qstn>
    <preQTxt>PART B: AMENITIES - Indicate HOW MANY of the following amenties are at the sole disposal of the persons enumerated in part A. When the form is not filled in at your home, or when the head of family is absent from the home dwelling, but other members of the family are at home, see instruction 3a. Also see instruction 3b.</preQTxt>
    <qstnLit>Television set</qstnLit>
  </qstn>
  <universe>All persons enumerated in part A.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records how many television sets are at the sole disposal of the persons enumerated in part A.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V111" name="MOTORCAR" files="F2" dcml="2" intrvl="discrete">
  <labl>Amenities: motorcars</labl>
  <imputation>Amenities: motorcars</imputation>
  <security>Amenities: motorcars</security>
  <embargo>Amenities: motorcars</embargo>
  <respUnit>Amenities: motorcars</respUnit>
  <qstn>
    <preQTxt>PART B: AMENITIES - Indicate HOW MANY of the following amenties are at the sole disposal of the persons enumerated in part A. When the form is not filled in at your home, or when the head of family is absent from the home dwelling, but other members of the family are at home, see instruction 3a. Also see instruction 3b.</preQTxt>
    <qstnLit>Motor-car/combi/bakkie</qstnLit>
  </qstn>
  <universe>All persons enumerated in part A.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records how many motor-cars/combis/bakkies are at the sole disposal of the persons enumerated in part A.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V112" name="MOTORCYC" files="F2" dcml="2" intrvl="discrete">
  <labl>Amenities: motorcycles</labl>
  <imputation>Amenities: motorcycles</imputation>
  <security>Amenities: motorcycles</security>
  <embargo>Amenities: motorcycles</embargo>
  <respUnit>Amenities: motorcycles</respUnit>
  <qstn>
    <preQTxt>PART B: AMENITIES - Indicate HOW MANY of the following amenties are at the sole disposal of the persons enumerated in part A. When the form is not filled in at your home, or when the head of family is absent from the home dwelling, but other members of the family are at home, see instruction 3a. Also see instruction 3b.</preQTxt>
    <qstnLit>Motor cycle</qstnLit>
  </qstn>
  <universe>All persons enumerated in part A.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records how many motor cycles are at the sole disposal of the persons enumerated in part A.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V113" name="BICYCLE" files="F2" dcml="2" intrvl="discrete">
  <labl>Amenities: bicycles</labl>
  <imputation>Amenities: bicycles</imputation>
  <security>Amenities: bicycles</security>
  <embargo>Amenities: bicycles</embargo>
  <respUnit>Amenities: bicycles</respUnit>
  <qstn>
    <preQTxt>PART B: AMENITIES - Indicate HOW MANY of the following amenties are at the sole disposal of the persons enumerated in part A. When the form is not filled in at your home, or when the head of family is absent from the home dwelling, but other members of the family are at home, see instruction 3a. Also see instruction 3b.</preQTxt>
    <qstnLit>Bicycle</qstnLit>
  </qstn>
  <universe>All persons enumerated in part A.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records how many bicycles are at the sole disposal of the persons enumerated in part A.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V114" name="TRACTOR" files="F2" dcml="2" intrvl="discrete">
  <labl>Amenities: tractors</labl>
  <imputation>Amenities: tractors</imputation>
  <security>Amenities: tractors</security>
  <embargo>Amenities: tractors</embargo>
  <respUnit>Amenities: tractors</respUnit>
  <qstn>
    <preQTxt>PART B: AMENITIES - Indicate HOW MANY of the following amenties are at the sole disposal of the persons enumerated in part A. When the form is not filled in at your home, or when the head of family is absent from the home dwelling, but other members of the family are at home, see instruction 3a. Also see instruction 3b.</preQTxt>
    <qstnLit>Tractor</qstnLit>
  </qstn>
  <universe>All persons enumerated in part A.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records how many tractors are at the sole disposal of the persons enumerated in part A.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V115" name="DRAWNV" files="F2" dcml="2" intrvl="discrete">
  <labl>Amenities: animal drawn vehicle</labl>
  <imputation>Amenities: animal drawn vehicle</imputation>
  <security>Amenities: animal drawn vehicle</security>
  <embargo>Amenities: animal drawn vehicle</embargo>
  <respUnit>Amenities: animal drawn vehicle</respUnit>
  <qstn>
    <preQTxt>PART B: AMENITIES - Indicate HOW MANY of the following amenties are at the sole disposal of the persons enumerated in part A. When the form is not filled in at your home, or when the head of family is absent from the home dwelling, but other members of the family are at home, see instruction 3a. Also see instruction 3b.</preQTxt>
    <qstnLit>Animal drawn vehicle</qstnLit>
  </qstn>
  <universe>All persons enumerated in part A.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records how many animal drawn vehicles are at the sole disposal of the persons enumerated in part A.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V116" name="RMSBED" files="F2" dcml="2" intrvl="discrete">
  <labl>House: bedrooms</labl>
  <imputation>House: bedrooms</imputation>
  <security>House: bedrooms</security>
  <embargo>House: bedrooms</embargo>
  <respUnit>House: bedrooms</respUnit>
  <qstn>
    <preQTxt>Particulars of the dwelling (house, semi-detached house or flat)</preQTxt>
    <qstnLit>Bedrooms</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records the number of bedrooms in the house, semi-detached house or flat.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V117" name="RMSLIV" files="F2" dcml="2" intrvl="discrete">
  <labl>House: livingrooms</labl>
  <imputation>House: livingrooms</imputation>
  <security>House: livingrooms</security>
  <embargo>House: livingrooms</embargo>
  <respUnit>House: livingrooms</respUnit>
  <qstn>
    <preQTxt>Particulars of the dwelling (house, semi-detached house or flat)</preQTxt>
    <qstnLit>Other living-rooms, lounge, study, television-room, etc</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records the number of livingrooms in the house, semi-detached house or flat.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V118" name="RMSBTHTO" files="F2" dcml="2" intrvl="discrete">
  <labl>House: bathrooms + toilets</labl>
  <imputation>House: bathrooms + toilets</imputation>
  <security>House: bathrooms + toilets</security>
  <embargo>House: bathrooms + toilets</embargo>
  <respUnit>House: bathrooms + toilets</respUnit>
  <qstn>
    <preQTxt>Particulars of the dwelling (house, semi-detached house or flat)</preQTxt>
    <qstnLit>Combination bathroom and toilet</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records the number of combination bathroom and toilet in the house, semi-detached house or flat.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V119" name="RMSBATH" files="F2" dcml="2" intrvl="discrete">
  <labl>House: bathrooms</labl>
  <imputation>House: bathrooms</imputation>
  <security>House: bathrooms</security>
  <embargo>House: bathrooms</embargo>
  <respUnit>House: bathrooms</respUnit>
  <qstn>
    <preQTxt>Particulars of the dwelling (house, semi-detached house or flat)</preQTxt>
    <qstnLit>Separate bathroom and toilet</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records the number of separate bathrooms and toilets in the house, semi-detached house or flat.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V120" name="RMSTOILT" files="F2" dcml="2" intrvl="discrete">
  <labl>House: toilets</labl>
  <imputation>House: toilets</imputation>
  <security>House: toilets</security>
  <embargo>House: toilets</embargo>
  <respUnit>House: toilets</respUnit>
  <qstn>
    <preQTxt>Particulars of the dwelling (house, semi-detached house or flat)</preQTxt>
    <qstnLit>Separate toilet</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records the number of separate toilets in the house, semi-detached house or flat.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V121" name="RMSKITCH" files="F2" dcml="2" intrvl="discrete">
  <labl>House: kitchens</labl>
  <imputation>House: kitchens</imputation>
  <security>House: kitchens</security>
  <embargo>House: kitchens</embargo>
  <respUnit>House: kitchens</respUnit>
  <qstn>
    <preQTxt>Particulars of the dwelling (house, semi-detached house or flat)</preQTxt>
    <qstnLit>Kitchen</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records the number of kitchens in the house, semi-detached house or flat.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V122" name="RMSGARAG" files="F2" dcml="2" intrvl="discrete">
  <labl>House: garages</labl>
  <imputation>House: garages</imputation>
  <security>House: garages</security>
  <embargo>House: garages</embargo>
  <respUnit>House: garages</respUnit>
  <qstn>
    <preQTxt>Particulars of the dwelling (house, semi-detached house or flat)</preQTxt>
    <qstnLit>Garage (double garage=2)</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records the number of garages in the house, semi-detached house or flat.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V123" name="RMSOTHER" files="F2" dcml="2" intrvl="discrete">
  <labl>House: other rooms</labl>
  <imputation>House: other rooms</imputation>
  <security>House: other rooms</security>
  <embargo>House: other rooms</embargo>
  <respUnit>House: other rooms</respUnit>
  <qstn>
    <preQTxt>Particulars of the dwelling (house, semi-detached house or flat)</preQTxt>
    <qstnLit>Other (storeroom, laundry, etc.)</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records the number of other rooms (storeroom, laundry, etc.) in the house, semi-detached house or flat.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V124" name="NOCCUP" files="F2" dcml="2" intrvl="contin">
  <labl>Occupants: total all occupants</labl>
  <imputation>Occupants: total all occupants</imputation>
  <security>Occupants: total all occupants</security>
  <embargo>Occupants: total all occupants</embargo>
  <respUnit>Occupants: total all occupants</respUnit>
  <qstn>
    <preQTxt>It is MOST IMPORTANT that instruction 2a (ii) be read for the definition of a family.
1. Number of members in the family – Include ALL members of the family including absentees, but not independent children who are permanently living elsewhere. Children at boarding school, university or undergoing military training must be included:</preQTxt>
    <qstnLit>Family members total numbers</qstnLit>
  </qstn>
  <universe>PART D must be filled in by the head of family who spent the night of the census with his/her family. If absent from his/her family, this part must not be filled in by him/her, but by a member of the family at his/her home address.</universe>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <txt>This variable records the total number of occupants in the house.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V125" name="OWNERSHP" files="F2" intrvl="discrete">
  <labl>Ownership of dwelling</labl>
  <imputation>Ownership of dwelling</imputation>
  <security>Ownership of dwelling</security>
  <embargo>Ownership of dwelling</embargo>
  <respUnit>Ownership of dwelling</respUnit>
  <qstn>
    <preQTxt>4. OWNERSHIP – Do not answer this question if your dwelling is on a farm.
Mark with a cross (X) where applicable and answer only (i) or (ii).</preQTxt>
    <qstnLit>(i) Own dwelling – (Including hire-purchase, sectional title property or property of wife):
(a) Is the dwelling Fully paid, Partly paid-off
(ii) Rented or occupied free dwelling :
(a) Is the dwelling Occupied free, Rented furnished Rented unfurnished</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Paid off in full</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Paid off partially</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Free accommodation</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Rented</labl>
  </catgry>
  <txt>This variable records the ownership status of the dwelling</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V126" name="RENT" files="F2" intrvl="discrete">
  <labl>Rent or down payment of dwelling</labl>
  <imputation>Rent or down payment of dwelling</imputation>
  <security>Rent or down payment of dwelling</security>
  <embargo>Rent or down payment of dwelling</embargo>
  <respUnit>Rent or down payment of dwelling</respUnit>
  <qstn>
    <qstnLit>(b) If partly paid-off, state monthly repayment (include housing subsidy, but exclude insurance:
OR
(b) If rented, state monthly rent:</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>000 None/n.a.</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2-4 Rands</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>5-9 Rands</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>10-14 Rands</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>15-19 Rands</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>20-29 Rands</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>30-39 Rands</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>40-49 Rands</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>50-59 Rands</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>60-69 Rands</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>70-79 Rands</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>80-89 Rands</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>90-99 Rands</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>100-119 Rands</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>120-139 Rands</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>140-159 Rands</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>160-179 Rands</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>180-199 Rands</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>200-249 Rands</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>250-299 Rands</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>300-349 Rands</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>350-399 Rands</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>400-449 Rands</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>450-499 Rands</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>500-549 Rands</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>550-599 Rands</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>600-699 Rands</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>700-799 Rands</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>800-899 Rands</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>900-998 Rands</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>999+ Rands</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>001 Unknown (?)</labl>
  </catgry>
  <txt>This variable records the monthly rent or down payment of the dwelling in pre-categorized South African Rands groupings.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V127" name="OWNEREMP" files="F2" intrvl="discrete">
  <labl>Dwelling property of employer or not</labl>
  <imputation>Dwelling property of employer or not</imputation>
  <security>Dwelling property of employer or not</security>
  <embargo>Dwelling property of employer or not</embargo>
  <respUnit>Dwelling property of employer or not</respUnit>
  <qstn>
    <qstnLit>(c) Is the dwelling owned by the employer?</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Dwelling property of employer</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Dwelling not property of employer</labl>
    <catStat type="invd"/>
  </catgry>
  <txt>This variable records whether the dwelling is the property of the employer.</txt>
  <varFormat type="numeric"/>
</var>
<var ID="V128" name="OWNERSTA" files="F2" intrvl="discrete">
  <labl>Dwelling property of state or not</labl>
  <imputation>Dwelling property of state or not</imputation>
  <security>Dwelling property of state or not</security>
  <embargo>Dwelling property of state or not</embargo>
  <respUnit>Dwelling property of state or not</respUnit>
  <qstn>
    <qstnLit>(d) Does it belong to the state, SA Railways, a provincial administration, a divisional council, or a municipality or other local authority?</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>Dwelling property of the state</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Dwelling not property of the state</labl>
    <catStat type="invd"/>
  </catgry>
  <txt>This variable records whether the dwelling is the property of the state.</txt>
  <varFormat type="numeric"/>
</var>
</dataDscr></codeBook>
