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    <citation>
      <titlStmt>
        <titl>
          Population Census 1988
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        <IDNo>
          DDI-TZA-NBS-PHC-1988-v01
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        <producer>
          Bureau of Satistics
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        <producer abbr="ADP" affiliation="PARIS21" role="Review of the metadata">
          Acceelrated Data Program
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    <citation>
      <titlStmt>
        <titl>
          Population Census 1988
        </titl>
        <altTitl>
          PHC 1988
        </altTitl>
        <IDNo>
          TZA-NBS-PHC-1988-v01
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty>
          National Bureau of Statistics
        </AuthEnty>
        <othId role="Census Publicity and mobilization of the masses">
          <p>
            Ndugu Mwinyiwesa Idarus
          </p>
        </othId>
        <othId role="Census Publicity and mobilization of the masses">
          <p>
            The late Lucy S Lameck
          </p>
        </othId>
      </rspStmt>
      <prodStmt>
        <copyright>
          (c) Copyright 1988, National Bureau of Statistics
        </copyright>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
        <fundAg abbr="TZA" role="Personnel,Salaries for permanent staff, Equipments">
          The Government of Tanzania
        </fundAg>
        <fundAg abbr="SIDA">
          Swedish International Development Agency
        </fundAg>
        <fundAg abbr="UNFPA" role="Monetary and Technical">
          United Nationals Population Fund
        </fundAg>
        <fundAg abbr="ODA">
          Overseas Development Administration
        </fundAg>
        <fundAg abbr="USAID">
          United States Agency for International Development
        </fundAg>
        <fundAg abbr="UNICEF">
          United Nations Children Children's Fund
        </fundAg>
      </prodStmt>
      <serStmt>
        <serName>
          Population and Housing Census [hh/popcen]
        </serName>
      </serStmt>
      <verStmt>
        <version date="2011-12-13">
          V1.0: Anonymous dataset for public distribution.
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    <stdyInfo>
      <sumDscr>
        <collDate date="1988-08" event="start"/>
        <collDate date="1988-08" event="end"/>
        <nation abbr="TZA">
          Tanzania
        </nation>
        <geogCover>
          National coverage
        </geogCover>
        <anlyUnit>
          household
        </anlyUnit>
        <dataKind>
          Census/enumeration data [cen]
        </dataKind>
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      <notes>
        Households, Individuals
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <dataCollector affiliation=" President's Office, Planning Commission, Dar es Salaam">
          Bureau of Statistics
        </dataCollector>
        <collMode>
          Face-to-face [f2f]
        </collMode>
        <resInstru>
          A short questionnaire for all dwellings and a long questionnaire for a sample of the population. There was a separate "collective questionnaire" for group living arrangements.
        </resInstru>
        <sources/>
        <collSitu>
          <![CDATA[The first Pretest was conducted in January 1987. The fundamental objectives of the exercise were to test the questionaire and to provide practical training for the E STC students who worked as enumerators. The final pretest was carried out the last week of August and first week of September, 1987, precisely one year before the census.

The inteview was conducted in kiswahili language.]]>
        </collSitu>
        <actMin>
          <![CDATA[Direct enumeration.

Interviewing was conducted by teams of interviewers. Each interviewing team comprised of 3-4 female interviewers, a field editor and a supervisor, and a driver.  Each team used a 4 wheel drive vehicle to travel from cluster to cluster (and where necessary within cluster).

The role of the supervisor was to coordinator field data collection activities, including management of the field teams, supplies and equipment, finances, maps and listings, coordinate with local authorities concerning the survey plan and make arrangements for accommodation and travel. Additionally, the field supervisor assigned the work to the interviewers, spot checked work, maintained field control documents, and sent completed questionnaires and progress reports to the central office.  

The field editor was responsible for reviewing each questionnaire at the end of the day, checking for missed questions, skip errors, fields incorrectly completed, and checking for inconsistencies in the data.  The field editor also observed interviews and conducted review sessions with interviewers.

Responsibilities of the supervisors and field editors are described in the Instructions for Supervisors and Field Editors, together with the different field controls that were in place to control the quality of the fieldwork.

Field visits were also made by a team of central staff on a periodic basis during fieldwork. The senior staff of GenCenStat also made 3 visits to field teams to provide support and to review]]>
        </actMin>
        <cleanOps>
          <![CDATA[There was a team of personnel for manually editing with emphasis on identification on each questionaire, District identification validity checked were done by the program written by ODA computer consultant. Data files were shipped over Microlan 2 to PWS micro computer for further checking, the check include records with invalidity district identification codes, records containing any characters other than blanks and digits, record type was neither '1'(Population records) or '2'(household records), records with duplicate identification numbers and  out of sequence records.

CONsistency and CORrection software (CONCOR) was used during editing with minimum imputations.]]>
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    <dataAccs>
      <useStmt>
        <contact URI="www.nbs.go.tz" email="dg@nbs.go.tz">
          National Bureau of Statistics
        </contact>
        <citReq>
          Source: Tanzania, National Bureau of Statistics, The United Republic of Tanzania, Population Census 1988.
        </citReq>
        <disclaimer>
          The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
        </disclaimer>
      </useStmt>
    </dataAccs>
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          Zanzibar north
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          Zanzibar central and south
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          Pemba north
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        <catValu>
          111
        </catValu>
        <labl>
          Iringa rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Mufindi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Njombe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Ludewa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Makete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Iringa urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Chunya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Mbeya rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Kyela
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Rungwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          Ileje
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          Mbozi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          Mbeya urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Iramba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Singida rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Manyoni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Singida urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Nzega
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Igunga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          Tabora rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          Urambo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          Tabora urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Mpanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Sumbawanga rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          Nkansi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          Sumbawanga urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          Kibondo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          Kasulu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          Kigoma rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          Kigoma urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          Bariadi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          Maswa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          Shinyanga rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          Kahama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          Shinyanga urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          Meatu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Karagwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Bukoba rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          Muleba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          Biharamulo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          Ngara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          Bukoba urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Ukerewe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Magu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          Mwanza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          Kwimba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          Sengerema
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          Geita
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Tarime
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Serengeti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Musoma rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Bunda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          Musoma urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Unguja North "A"
        </labl>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Unguja North "B"
        </labl>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Unguja Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Unguja South
        </labl>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          Unguja West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          532
        </catValu>
        <labl>
          Unguja Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          541
        </catValu>
        <labl>
          Wete-Pemba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          542
        </catValu>
        <labl>
          Micheweni - Pemba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          Chake Chake - Pemba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          552
        </catValu>
        <labl>
          Mkoani - Pemba
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V7" name="ward" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="7" EndPos="7" width="1" RecSegNo="1"/>
      <labl>
        Ward
      </labl>
      <qstn>
        <qstnLit>
          Ward
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V8" name="ea" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="8" EndPos="8" width="1" RecSegNo="1"/>
      <labl>
        Enumeration area
      </labl>
      <qstn>
        <qstnLit>
          EA?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V9" name="hhNumO" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="9" EndPos="9" width="1" RecSegNo="1"/>
      <labl>
        Household number
      </labl>
      <qstn>
        <qstnLit>
          Household Number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V10" name="deaths" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="10" EndPos="10" width="1" RecSegNo="1"/>
      <labl>
        Any deaths in household last year
      </labl>
      <qstn>
        <qstnLit>
          Any deaths in household last year?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V11" name="dsex1" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="11" EndPos="11" width="1" RecSegNo="1"/>
      <labl>
        Sex of first deceased last year
      </labl>
      <qstn>
        <qstnLit>
          Sex of first deceased last year?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Undocumented
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Undocumented
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V12" name="dage1" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="12" EndPos="12" width="1" RecSegNo="1"/>
      <labl>
        Age of first deceased last year
      </labl>
      <qstn>
        <qstnLit>
          Age of first deceased last year?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V13" name="dsex2" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="13" EndPos="13" width="1" RecSegNo="1"/>
      <labl>
        Sex of second deceased last year
      </labl>
      <qstn>
        <qstnLit>
          Sex of second deceased last year?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Undocumented
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V14" name="dage2" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="14" EndPos="14" width="1" RecSegNo="1"/>
      <labl>
        Age of second deceased last year
      </labl>
      <qstn>
        <qstnLit>
          Age of second deceased last year?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V15" name="dsex3" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="15" EndPos="15" width="1" RecSegNo="1"/>
      <labl>
        Sex of third deceased last year
      </labl>
      <qstn>
        <qstnLit>
          Sex of third deceased last year?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Undocumented
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V16" name="dage3" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="16" EndPos="16" width="1" RecSegNo="1"/>
      <labl>
        Age of third deceased last year
      </labl>
      <qstn>
        <qstnLit>
          Age of third deceased last year?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V17" name="rooms" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Number of rooms
      </labl>
      <qstn>
        <qstnLit>
          Number of rooms?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V18" name="toilet" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="18" EndPos="18" width="1" RecSegNo="1"/>
      <labl>
        Type of toilet
      </labl>
      <qstn>
        <qstnLit>
          Type of toilet?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Flush (inside the house)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Flush (outside the house)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Pit/barrel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Not stated
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V19" name="watsrc" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="19" EndPos="19" width="1" RecSegNo="1"/>
      <labl>
        Water source
      </labl>
      <qstn>
        <qstnLit>
          Water source?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Piped water in the house / village
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Piped water outside the house / village
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Well water in plot or village
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Well water outside plot / village
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Other inside the house or village
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other outside house or village
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Not stated
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V20" name="elect" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="20" EndPos="20" width="1" RecSegNo="1"/>
      <labl>
        Have electricity
      </labl>
      <qstn>
        <qstnLit>
          Have electricity?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Not stated
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V21" name="owner" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="21" EndPos="21" width="1" RecSegNo="1"/>
      <labl>
        Ownership
      </labl>
      <qstn>
        <qstnLit>
          Ownership?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Owner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Tenant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Not stated
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V22" name="pernOM" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="22" EndPos="22" width="1" RecSegNo="1"/>
      <labl>
        Total males
      </labl>
      <qstn>
        <qstnLit>
          Total males?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V23" name="pernOF" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Total females
      </labl>
      <qstn>
        <qstnLit>
          Total females?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V24" name="pernO" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Total persons
      </labl>
      <qstn>
        <qstnLit>
          Total persons?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="36"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          1 to 9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          10 to 19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          20 to 29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          30 to 39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          40 to 49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          50 to 59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          60 to 69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          70 to 79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          80 to 89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          90 to 99
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          100 to 109
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          110 to 119
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          120 to 129
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          130 to 139
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          140 to 149
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          150 to 159
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          170 to 179
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          180 to 189
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          190 to 199
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          230 to 239
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          260 to 269
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          290 to 299
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          360 to 369
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V25" name="dateEnum" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Day of month enumerated
      </labl>
      <qstn>
        <qstnLit>
          Day of month enumerated?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V26" name="hhIDh" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Unique household id
      </labl>
      <qstn>
        <qstnLit>
          Unique household id?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V27" name="rectypep" files="F2" intrvl="discrete">
      <location StartPos="1" EndPos="1" width="1" RecSegNo="1"/>
      <labl>
        Record type
      </labl>
      <qstn>
        <qstnLit>
          Record type
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          H
        </catValu>
        <labl>
          Household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          P
        </catValu>
        <labl>
          Person
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V28" name="dwNump" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="2" EndPos="2" width="1" RecSegNo="1"/>
      <labl>
        Dwelling number
      </labl>
      <qstn>
        <qstnLit>
          Dwelling number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V29" name="hhNump" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="3" EndPos="3" width="1" RecSegNo="1"/>
      <labl>
        Household number (within dwelling)
      </labl>
      <qstn>
        <qstnLit>
          Household number (within dwelling)
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V30" name="perNump" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="4" EndPos="4" width="1" RecSegNo="1"/>
      <labl>
        Person number (within household)
      </labl>
      <qstn>
        <qstnLit>
          Person number (within household)
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V31" name="formNum" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="5" EndPos="5" width="1" RecSegNo="1"/>
      <labl>
        Form number
      </labl>
      <qstn>
        <qstnLit>
          Form number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V32" name="perNumO" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="6" EndPos="6" width="1" RecSegNo="1"/>
      <labl>
        Person number, original
      </labl>
      <qstn>
        <qstnLit>
          Person number, original
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V33" name="relate" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="7" EndPos="7" width="1" RecSegNo="1"/>
      <labl>
        Relationship to head of household
      </labl>
      <qstn>
        <qstnLit>
          Relationship to head of household
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Head
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Son
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Daughter
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Other relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Undocumented
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V34" name="sex" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="8" EndPos="8" width="1" RecSegNo="1"/>
      <labl>
        Sex
      </labl>
      <qstn>
        <qstnLit>
          Sex?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V35" name="age" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="9" EndPos="9" width="1" RecSegNo="1"/>
      <labl>
        Age
      </labl>
      <qstn>
        <qstnLit>
          Age?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V36" name="citizen" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="10" EndPos="10" width="1" RecSegNo="1"/>
      <labl>
        Country of citizenship
      </labl>
      <qstn>
        <qstnLit>
          Where was .... living in 1988
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="60" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Tanzania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Burundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Comoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Kenya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Malawi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Mozambique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Namibia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Rwanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Seychelles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          Somalia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Zaire
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Zambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Zimbabwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Other African countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          Other Asian countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Denmark, Finland, Norway, Sweden
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          United Kingdom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          West Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Other European country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          United States
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          Other country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V37" name="mothLiv" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="11" EndPos="11" width="1" RecSegNo="1"/>
      <labl>
        Mother alive
      </labl>
      <qstn>
        <qstnLit>
          Mother alive?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Do not know
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V38" name="marst" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="12" EndPos="12" width="1" RecSegNo="1"/>
      <labl>
        Marital status
      </labl>
      <qstn>
        <qstnLit>
          Marital status?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Divorced/separated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Widow(er)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Undocumented
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V39" name="bpl" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="13" EndPos="13" width="1" RecSegNo="1"/>
      <labl>
        Place of birth
      </labl>
      <qstn>
        <qstnLit>
          Place of birth?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Dodoma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Arusha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Kilimanjaro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Tanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Morogoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Pwani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Dar es Salaam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Lindi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Mtwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Ruvuma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Iringa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mbeya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Singida
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Tabora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Rukwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Kigoma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Shinyanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Kagera
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Mwanza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Zanzibar north
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Zanzibar central and south
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Zanzibar town and west
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Pemba north
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Pemba south
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Tanzania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Burundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Comoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Kenya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Malawi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Mozambique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Namibia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Rwanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Seychelles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          Somalia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Zaire
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Zambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Zimbabwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Other African countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          Other Asian countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Denmark, Finland, Norway, Sweden
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          United Kingdom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          West Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Other European countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          United States
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          Other country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V40" name="resUs" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="14" EndPos="14" width="1" RecSegNo="1"/>
      <labl>
        Region and country of usual residence
      </labl>
      <qstn>
        <qstnLit>
          Region and country of usual residence?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Dodoma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Arusha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Kilimanjaro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Tanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Morogoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Pwani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Dar es Salaam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Lindi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Mtwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Ruvuma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Iringa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mbeya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Singida
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Tabora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Rukwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Kigoma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Shinyanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Kagera
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Mwanza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Zanzibar north
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Zanzibar central and south
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Zanzibar town and west
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Pemba north
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Pemba south
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Tanzania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Burundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Comoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Kenya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Malawi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Mozambique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Namibia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Rwanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Seychelles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          Somalia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Zaire
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Zambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Zimbabwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Other African countrries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          Other Asian countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Denmark, Finland, Norway, Sweden
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          United Kingdom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          West Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Other European countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          United States
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          Other country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V41" name="resUsTy" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="15" EndPos="15" width="1" RecSegNo="1"/>
      <labl>
        Type of usual residence
      </labl>
      <qstn>
        <qstnLit>
          Type of usual residence?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Village
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Regional headquarters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          District headquarters/other town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Outside country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Undocumented
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V42" name="resPr" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="16" EndPos="16" width="1" RecSegNo="1"/>
      <labl>
        Region and country of residence in 1978
      </labl>
      <qstn>
        <qstnLit>
          Region and country of residence in 1978?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Dodoma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Arusha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Kilimanjaro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Tanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Morogoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Pwani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Dar es Salaam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Lindi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Mtwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Ruvuma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Iringa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mbeya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Singida
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Tabora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Rukwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Kigoma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Shinyanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Kagera
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Mwanza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Zanzibar north
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Zanzibar central and south
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Zanzibar town and west
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Pemba north
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Pemba south
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Burundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Comoro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Kenya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Malawi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Mozambique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Namibia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Rwanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Seychelles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          Somalia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Zaire
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Zambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Zimbabwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Other African countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          Other Asian countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Denmark, Finland, Norway, Sweden
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          United Kingdom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          West Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Other European countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          United States
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          Other country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          Not applicable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V43" name="resPrTy" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Type of living place in 1978
      </labl>
      <qstn>
        <qstnLit>
          Type of living place in 1978?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Village
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Regional headquarters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          District headquarters/other town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Outside country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Not applicable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Undocumented
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V44" name="lit" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="18" EndPos="18" width="1" RecSegNo="1"/>
      <labl>
        Read and write Kiswahili
      </labl>
      <qstn>
        <qstnLit>
          Read and write Kiswahili?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Undocumented
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V45" name="school" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="19" EndPos="19" width="1" RecSegNo="1"/>
      <labl>
        School attendance
      </labl>
      <qstn>
        <qstnLit>
          School attendance?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never attended
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Attending
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Completed/left
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Undocumented
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V46" name="edLev" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="20" EndPos="20" width="1" RecSegNo="1"/>
      <labl>
        Educational level
      </labl>
      <qstn>
        <qstnLit>
          Educational level?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Primary, standard one
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary, standard two
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Primary, standard three
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Primary, standard four
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Primary, standard five
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Primary, standard six
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Primary, standard seven
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Primary, standard eight
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Secondary, form one
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Secondary, form two
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Secondary, form three
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Secondary, form four
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Secondary, form five
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Secondary, form six
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          University and other equivalent institutions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Training after primary school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Training after secondary school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V47" name="empstat" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="21" EndPos="21" width="1" RecSegNo="1"/>
      <labl>
        Employment status
      </labl>
      <qstn>
        <qstnLit>
          Employment status?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Looking for work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Student
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Homemaker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Retired/too old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Unable to work due to disability
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Not reported
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V48" name="occ" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="22" EndPos="22" width="1" RecSegNo="1"/>
      <labl>
        Occupation
      </labl>
      <qstn>
        <qstnLit>
          Occupation
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rulers, managers, legislators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Experts, technicians, teachers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Service and sales
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Farmers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Farmers and pastoralists/fishermen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Employees in agricultural sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Technicians and machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Small businessmen and laborers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Other occupations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Not applicable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V49" name="classwk" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Status in employment
      </labl>
      <qstn>
        <qstnLit>
          Status in employment
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own account
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Unpaid family worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Not applicable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Not stated
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V50" name="chsurvHf" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Female children surviving and living here
      </labl>
      <qstn>
        <qstnLit>
          Female children surviving and living here
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V51" name="chsurvEm" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Male children surviving and living elsewhere
      </labl>
      <qstn>
        <qstnLit>
          Male children surviving and living elsewhere
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V52" name="chsurvEF" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Female children surviving and living elsewhere
      </labl>
      <qstn>
        <qstnLit>
          Female children surviving and living elsewhere
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V53" name="chdeadM" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Male children not surviving
      </labl>
      <qstn>
        <qstnLit>
          Male children not surviving
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V54" name="chdeadF" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Female children not surviving
      </labl>
      <qstn>
        <qstnLit>
          Female children not surviving
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V55" name="chbornM" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="29" EndPos="29" width="1" RecSegNo="1"/>
      <labl>
        Children born during last year, male
      </labl>
      <qstn>
        <qstnLit>
          Children born during last year, male
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V56" name="chbornF" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="30" EndPos="30" width="1" RecSegNo="1"/>
      <labl>
        Children born during last year, female
      </labl>
      <qstn>
        <qstnLit>
          Children born during last year, female
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V57" name="wtper" files="F2" dcml="11" intrvl="discrete">
      <location StartPos="31" EndPos="43" width="13" RecSegNo="1"/>
      <labl>
        Person weight
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V58" name="wtperR" files="F2" dcml="11" intrvl="discrete">
      <location StartPos="44" EndPos="56" width="13" RecSegNo="1"/>
      <labl>
        Weight factor: rural enumeration areas
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V59" name="wtperU" files="F2" dcml="11" intrvl="discrete">
      <location StartPos="57" EndPos="69" width="13" RecSegNo="1"/>
      <labl>
        Weight factor: urban enumeration areas
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V60" name="rurban" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="70" EndPos="70" width="1" RecSegNo="1"/>
      <labl>
        Urban
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Village
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Regional headquarters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          District headquarters
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V61" name="chsurvHm" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="71" EndPos="71" width="1" RecSegNo="1"/>
      <labl>
        Male children surviving and living in this household
      </labl>
      <qstn>
        <qstnLit>
          Male children surviving and living in this household
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V62" name="chsrvFm2" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="72" EndPos="72" width="1" RecSegNo="1"/>
      <labl>
        Duplicate: Female children surviving and living in this household
      </labl>
      <qstn>
        <qstnLit>
          Duplicate: Female children surviving and living in this household
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V63" name="chsrvEm2" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="73" EndPos="73" width="1" RecSegNo="1"/>
      <labl>
        Duplicate: Male children surviving and living elsewhere
      </labl>
      <qstn>
        <qstnLit>
          Duplicate: Male children surviving and living elsewhere
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V64" name="chsrvFm2_dup" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="74" EndPos="74" width="1" RecSegNo="1"/>
      <labl>
        Duplicate: Female children surviving and living elsewhere
      </labl>
      <qstn>
        <qstnLit>
          Duplicate: Female children surviving and living elsewhere
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V65" name="chdeadm2" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="75" EndPos="75" width="1" RecSegNo="1"/>
      <labl>
        Duplicate: Male children not surviving
      </labl>
      <qstn>
        <qstnLit>
          Duplicate: Male children not surviving
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V66" name="chdeadf2" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="76" EndPos="76" width="1" RecSegNo="1"/>
      <labl>
        Duplicate: Female children not surviving
      </labl>
      <qstn>
        <qstnLit>
          Duplicate: Female children not surviving
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V67" name="chbornM2" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="77" EndPos="77" width="1" RecSegNo="1"/>
      <labl>
        Duplicate: Children born during last year, male
      </labl>
      <qstn>
        <qstnLit>
          Duplicate: Children born during last year, male
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V68" name="chbornF2" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="78" EndPos="78" width="1" RecSegNo="1"/>
      <labl>
        Duplicate: Children born during last year, female
      </labl>
      <qstn>
        <qstnLit>
          Duplicate: Children born during last year, female
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V69" name="wtper2" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="79" EndPos="79" width="1" RecSegNo="1"/>
      <labl>
        Person weight (Levin)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
