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<codeBook version="1.2.2" ID="BRA_1960_PHC_v01_M_v03_A_IPUMS" xml-lang="en" xmlns="http://www.icpsr.umich.edu/DDI" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.icpsr.umich.edu/DDI http://www.icpsr.umich.edu/DDI/Version1-2-2.xsd">
  <docDscr>
    <citation>
      <titlStmt>
        <titl>
          VII Recenseamento Geral do Brasil. Censo Demográfico de 1960.
        </titl>
        <IDNo>
          DDI_BRA_1960_PHC_v01_M_v03_A_IPUMS
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="University of Minnesota">
          Minnesota Population Center
        </AuthEnty>
        <othId>
          <p>
            Integrated Public Use Microdata Series (IPUMS) International
          </p>
        </othId>
      </rspStmt>
      <prodStmt>
        <producer abbr="MPC" affiliation="University of Minnesota" role="Integration Harmonization Documentation">
          Minnesota Population Center
        </producer>
        <prodDate date="2016-04-25">
          2016-04-25
        </prodDate>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
        <fundAg abbr="OECD/DCD-PARIS21" role="Project funder">
          Organization for Economic Co-operation and Development, Development Co-operation Directorate
        </fundAg>
        <grantNo>
          JADE#:60525;MEHLB(2010)12
        </grantNo>
      </prodStmt>
      <verStmt>
        <version>
          <![CDATA[- v6.4 April 2016
Documentation of census data and harmonized variables as found in IPUMS-International. The International Household Survey Network (IHSN) contracted IPUMS International for generating DDI and Dublin Core-compliant metadata related to population and housing census datasets from developing countries. The objective was to provide countries with detailed metadata in a format compatible with the DDI standard used by most of these countries, with a view to guarantee the preservation of the data and metadata, and the publishing of metadata.

The intellectual rights (including copyright) for the data and metadata in IPUMS are retained by the countries under a Memorandum of Understanding with the contributing countries. IPUMS-International has distribution rights to the metadata and data. The XML documents generated by this process are viewed as a distribution of the metadata.
        
Fields edited by the World Bank are: DDI ID and study ID to match World Bank study naming convention, as well as DDI Document Version and Version Description to reflect changes included in version 6.4.

Previous version documented in the World Bank Microdata Library:
- v6.3 (August 2014)]]>
        </version>
      </verStmt>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          VII Recenseamento Geral do Brasil. Censo Demográfico de 1960 - IPUMS Subset
        </titl>
        <altTitl>
          PHC 1960 (IPUMS Harmonized Subset)
        </altTitl>
        <IDNo>
          BRA_1960_PHC_v01_M_v03_A_IPUMS
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty>
          Servico Nacional de Recenseamento. Instituto Brasileiro de Geografia e Estatística
        </AuthEnty>
        <AuthEnty affiliation="University of Minnesota">
          Minnesota Population Center
        </AuthEnty>
      </rspStmt>
      <prodStmt>
        <copyright>
          (c) Copyright 1960, Servico Nacional de Recenseamento. Instituto Brasileiro de Geografia e Estatística and Minnesota Population Center
        </copyright>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
      </prodStmt>
      <distStmt>
        <contact>
          Servico Nacional de Recenseamento. Instituto Brasileiro de Geografia e Estatística
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Population and Housing Census [hh/popcen]
        </serName>
      </serStmt>
      <verStmt>
        <version date="2016-04-25">
          <![CDATA[Version 6.4. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database.

In v6.4, the research team continued to carry out improvements to geography, providing harmonized geographic units for the second administrative level for roughly half the countries. More information about IPUMS geography variables is available <a href='https://international.ipums.org/international/geography_variables.shtml'>here</a>. Also, approximately 100 integrated variables were renamed. Affected variables with their current and previous names are listed <a href='https://international.ipums.org/international/resources/misc_docs/renamed_variables_sept2015.pdf'>here</a>. Geography variable also underwent wholesale renaming.

In this update, IPUMS added 19 new samples for Armenia, Austria, Costa Rica, Ethiopia, France, Ghana, Mozambique, Paraguay, Portugal, Puerto Rico, South Africa, and Spain. Ethiopia, Mozambique, and Paraguay were newly added countries to IPUMS. Samples for other countries extend pre-existing series for those countries.]]>
        </version>
      </verStmt>
    </citation>
    <stdyInfo>
      <subject>
        <topcClas vocab="IPUMS">
          Technical Household Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Group Quarters Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Geography: Global Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Geography: A-L Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Utilities Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Dwelling Characteristics Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Constructed Household Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Technical Person Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Constructed Family Interrelationship Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Demographic Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Fertility and Mortality Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Nativity and Birthplace Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Ethnicity and Language Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Education Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Work Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Income Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Migration Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Household Economic Variables -- HOUSEHOLD
        </topcClas>
        <topcClas vocab="IPUMS">
          Work: Occupation Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Work: Industry Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Other Person Variables -- PERSON
        </topcClas>
      </subject>
      <abstract>
        <![CDATA[IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.]]>
      </abstract>
      <sumDscr>
        <timePrd date="1960-09-01" event="start"/>
        <timePrd date="1960-09-01" event="end"/>
        <collDate date="1960-09-01" event="start"/>
        <collDate date="1960-12-01" event="end"/>
        <nation abbr="BRA">
          Brazil
        </nation>
        <geogCover>
          National coverage
        </geogCover>
        <geogUnit>
          State
        </geogUnit>
        <anlyUnit>
          <![CDATA[Dwelling

UNITS IDENTIFIED:
- Dwellings: No (dwellings in original sample are interpreted as households in IPUMS)
- Vacant units: Yes
- Households: Yes
- Individuals: Yes
- Group quarters: Yes

UNIT DESCRIPTIONS:
- Households: Structurally independent living quarters, consisting of one or more rooms with a private entrance, serving up to three families.
- Group quarters: Group living together under relations of administrative subordination; group of six or more persons not related by kinship; or a dwelling with more than 3 families.]]>
        </anlyUnit>
        <dataKind>
          Census/enumeration data [cen]
        </dataKind>
      </sumDscr>
    </stdyInfo>
    <method>
      <dataColl>
        <sampProc>
          <![CDATA[MICRODATA SOURCE: Instituto Brasileiro de Geografia e Estatística

SAMPLE UNIT: Household (called "dwelling" in original sample)

SAMPLE FRACTION: 5% (but excluding certain states; see above)

SAMPLE SIZE (person records): 3,001,439]]>
        </sampProc>
        <collMode>
          Face-to-face [f2f]
        </collMode>
        <resInstru>
          Long and short enumeration forms. The short form contains general information about the characteristics of the dwelling and each of persons in the dwelling. The long form contains general and more specific information about the characteristics of the dwelling, families, and each of the people in the dwellings and was applied to a 25% sample of the population.
        </resInstru>
        <sources/>
        <collSitu>
          De jure and de facto, CENSUS DAY: September 1st, 1960
        </collSitu>
      </dataColl>
      <anlyInfo>
        <respRate>
          COVERAGE: No official estimates, UNDERCOUNT: No official estimates
        </respRate>
      </anlyInfo>
    </method>
    <dataAccs>
      <useStmt>
        <confDec required="yes">
          <![CDATA[IPUMS-International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved.

To gain access to the data, a researcher must agree to the following:

(1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS-International agreements with collaborating agencies, redistribution of the data to third parties is prohibited.

(2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture.

(3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited.

(4) Report all publications based on these data to IPUMS-International, which will in turn pass the information on to the relevant national statistical agencies.

Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes.

These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data.

IPUMS-International works with each country's statistical office to minimize the risk of disclosure of respondent information. The details of the confidentiality protections vary across countries, but in all cases, names and detailed geographic information are suppressed and top-codes are imposed on variables such as income that might identify specific persons. In addition, IPUMS-International uses a variety of technical procedures to enhance confidentiality protection. These include the following:

(1) Swapping an undisclosed fraction of records from one administrative district to another to make positive identification of individuals impossible.

(2) Randomizing the placement of households within districts to disguise the order in which individuals were enumerated or the data processed.

(3) Aggregating codes of sensitive characteristics (e.g., grouping together very small ethnic categories)

(4) Top- and bottom-coding continuous variables to prevent identification of extreme cases.

The safety record for public-use census microdata is apparently perfect. In almost four decades of use, there has not been a single verified breach of statistical confidentiality. The measures implemented by the IPUMS-International are designed to extend this record.]]>
        </confDec>
        <contact affiliation="Minnesota Population Center" URI="http://international.ipums.org">
          IPUMS International
        </contact>
        <citReq>
          <![CDATA[Minnesota Population Center. Integrated Public Use Microdata Series, International: Version 6.4 [dataset]. Minneapolis: University of Minnesota, 2015. http://doi.org/10.18128/D020.V6.4.

Researchers should also acknowledge the statistical agency that originally produced the data:
Brazil, Servico Nacional de Recenseamento. Instituto Brasileiro de Geografia e Estatística, VII Recenseamento Geral do Brasil. Censo Demográfico de 1960.

The licensing agreement for use of IPUMS-International data requires that users supply IPUMS-International with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation.

Copies of such materials are also gratefully received at ipums@umn.edu.

Printed matter should be sent to:
IPUMS-International
Minnesota Population Center
University of Minnesota
50 Willey Hall
225 19th Avenue South
Minneapolis, MN 55455]]>
        </citReq>
        <conditions>
          <![CDATA[An adapted version of the dataset, harmonized for international comparability, is available from IPUMS-International (https://international.ipums.org/international/) under the following conditions:

IPUMS-International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved.  To gain access to the data, a researcher must agree to the following:

(1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS-International agreements with collaborating agencies, redistribution of the data to third parties is prohibited.

(2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture.

(3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited.

(4) Report all publications based on these data to IPUMS-International, which will in turn pass the information on to the relevant national statistical agencies.

Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes.

These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data.]]>
        </conditions>
        <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>
  </stdyDscr>
  <fileDscr ID="F1" URI="BRA_1960_PHC_v01_M_v03_A_IPUMS.Nesstar?Index=0&amp;Name=BRA1960-H-H">
    <fileTxt>
      <fileName>
        BRA1960-H-H.NSDstat
      </fileName>
      <fileCont>
        Household records
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F2" keyvar="V4"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          47
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Minnesota Population Center
      </filePlac>
      <verStmt>
        <version>
          Version 6.4, IPUMS sample
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F2" URI="BRA_1960_PHC_v01_M_v03_A_IPUMS.Nesstar?Index=1&amp;Name=BRA1960-P-H">
    <fileTxt>
      <fileName>
        BRA1960-P-H.NSDstat
      </fileName>
      <fileCont>
        Person records
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1" keyvar="V48 V134"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          89
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Minnesota Population Center
      </filePlac>
      <verStmt>
        <version>
          Version 6.4, IPUMS sample
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <dataDscr>
    <var ID="V1" name="RECTYPE" files="F1" intrvl="discrete">
      <location StartPos="1" EndPos="1" width="1" RecSegNo="1"/>
      <labl>
        Record type
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RECTYPE identifies the type of record for the case: household or person.  

NOTE: RECTYPE is an alphabetic (character string) variable with a value of 'H' for household records and 'P' for person records.  RECTYPE will not appear as a variable in the default rectangular extracts produced by the data extract system.  It is only available in hierarchical extracts, to distinguish between the two record types.]]>
      </txt>
      <codInstr>
        <![CDATA[RECTYPE is a 1-digit alphabetic (non-numeric) variable.

		
H = Household record
P = Person record]]>
      </codInstr>
      <concept vocab="IPUMS">
        Technical Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V2" name="YEAR" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="5" EndPos="8" width="4" RecSegNo="1"/>
      <labl>
        Year
      </labl>
      <valrng>
        <range UNITS="REAL" min="1960" max="2011"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        YEAR gives the year in which the census was taken.
      </txt>
      <catgry>
        <catValu>
          1960
        </catValu>
        <labl>
          1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1962
        </catValu>
        <labl>
          1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1963
        </catValu>
        <labl>
          1963
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1964
        </catValu>
        <labl>
          1964
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1966
        </catValu>
        <labl>
          1966
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1968
        </catValu>
        <labl>
          1968
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1969
        </catValu>
        <labl>
          1969
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1970
        </catValu>
        <labl>
          1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1971
        </catValu>
        <labl>
          1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1972
        </catValu>
        <labl>
          1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1973
        </catValu>
        <labl>
          1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1974
        </catValu>
        <labl>
          1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1975
        </catValu>
        <labl>
          1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1976
        </catValu>
        <labl>
          1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1977
        </catValu>
        <labl>
          1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1979
        </catValu>
        <labl>
          1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1980
        </catValu>
        <labl>
          1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1981
        </catValu>
        <labl>
          1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Technical Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3" name="SAMPLE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="9" EndPos="17" width="9" RecSegNo="1"/>
      <labl>
        IPUMS sample identifier
      </labl>
      <valrng>
        <range UNITS="REAL" min="32197001" max="894201001"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SAMPLE identifies the IPUMS sample from which the case is drawn.  Each sample receives a unique 9-digit code.  The code is structured as follows:


The first 3 digits are the ISO/UN codes used in COUNTRY



The next 4 digits are the year of the census/survey



The final 2 digits identify the sample within the year.  For the last two digits, censuses or large census-like surveys have a value "0" (e.g, 01) in the second-to-last digit, household surveys have a value of "2" (e.g., 21), and employment surveys have a value of "4" (e.g., 41).]]>
      </txt>
      <catgry>
        <catValu>
          32197001
        </catValu>
        <labl>
          Argentina 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32199101
        </catValu>
        <labl>
          Argentina 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32200101
        </catValu>
        <labl>
          Argentina 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32201001
        </catValu>
        <labl>
          Argentina 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32219801
        </catValu>
        <labl>
          Argentina 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40197101
        </catValu>
        <labl>
          Austria 1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40198101
        </catValu>
        <labl>
          Austria 1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40199101
        </catValu>
        <labl>
          Austria 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40200101
        </catValu>
        <labl>
          Austria 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40201101
        </catValu>
        <labl>
          Austria 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50199101
        </catValu>
        <labl>
          Bangladesh 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50200101
        </catValu>
        <labl>
          Bangladesh 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50201101
        </catValu>
        <labl>
          Bangladesh 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51200101
        </catValu>
        <labl>
          Armenia 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51201101
        </catValu>
        <labl>
          Armenia 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68197601
        </catValu>
        <labl>
          Bolivia 1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68199201
        </catValu>
        <labl>
          Bolivia 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68200101
        </catValu>
        <labl>
          Bolivia 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76196001
        </catValu>
        <labl>
          Brazil 1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76197001
        </catValu>
        <labl>
          Brazil 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76198001
        </catValu>
        <labl>
          Brazil 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76199101
        </catValu>
        <labl>
          Brazil 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76200001
        </catValu>
        <labl>
          Brazil 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76201001
        </catValu>
        <labl>
          Brazil 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112199901
        </catValu>
        <labl>
          Belarus 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116199801
        </catValu>
        <labl>
          Cambodia 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116200801
        </catValu>
        <labl>
          Cambodia 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120197601
        </catValu>
        <labl>
          Cameroon 1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120198701
        </catValu>
        <labl>
          Cameroon 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120200501
        </catValu>
        <labl>
          Cameroon 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124197101
        </catValu>
        <labl>
          Canada 1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124198101
        </catValu>
        <labl>
          Canada 1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124199101
        </catValu>
        <labl>
          Canada 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124200101
        </catValu>
        <labl>
          Canada 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152196001
        </catValu>
        <labl>
          Chile 1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152197001
        </catValu>
        <labl>
          Chile 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152198201
        </catValu>
        <labl>
          Chile 1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152199201
        </catValu>
        <labl>
          Chile 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152200201
        </catValu>
        <labl>
          Chile 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156198201
        </catValu>
        <labl>
          China 1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156199001
        </catValu>
        <labl>
          China 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170196401
        </catValu>
        <labl>
          Colombia 1964
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170197301
        </catValu>
        <labl>
          Colombia 1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170198501
        </catValu>
        <labl>
          Colombia 1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170199301
        </catValu>
        <labl>
          Colombia 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170200501
        </catValu>
        <labl>
          Colombia 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188196301
        </catValu>
        <labl>
          Costa Rica 1963
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188197301
        </catValu>
        <labl>
          Costa Rica 1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188198401
        </catValu>
        <labl>
          Costa Rica 1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188200001
        </catValu>
        <labl>
          Costa Rica 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188201101
        </catValu>
        <labl>
          Costa Rica 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192200201
        </catValu>
        <labl>
          Cuba 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214196001
        </catValu>
        <labl>
          Dominican Republic 1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214197001
        </catValu>
        <labl>
          Dominican Republic 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214198101
        </catValu>
        <labl>
          Dominican Republic 1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214200201
        </catValu>
        <labl>
          Dominican Republic 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214201001
        </catValu>
        <labl>
          Dominican Republic 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218196201
        </catValu>
        <labl>
          Ecuador 1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218197401
        </catValu>
        <labl>
          Ecuador 1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218198201
        </catValu>
        <labl>
          Ecuador 1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218199001
        </catValu>
        <labl>
          Ecuador 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218200101
        </catValu>
        <labl>
          Ecuador 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218201001
        </catValu>
        <labl>
          Ecuador 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222199201
        </catValu>
        <labl>
          El Salvador 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222200701
        </catValu>
        <labl>
          El Salvador 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231198401
        </catValu>
        <labl>
          Ethiopia 1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231199401
        </catValu>
        <labl>
          Ethiopia 1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231200701
        </catValu>
        <labl>
          Ethiopia 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242196601
        </catValu>
        <labl>
          Fiji 1966
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242197601
        </catValu>
        <labl>
          Fiji 1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242198601
        </catValu>
        <labl>
          Fiji 1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242199601
        </catValu>
        <labl>
          Fiji 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242200701
        </catValu>
        <labl>
          Fiji 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250196201
        </catValu>
        <labl>
          France 1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250196801
        </catValu>
        <labl>
          France 1968
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250197501
        </catValu>
        <labl>
          France 1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250198201
        </catValu>
        <labl>
          France 1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250199001
        </catValu>
        <labl>
          France 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250199901
        </catValu>
        <labl>
          France 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250200601
        </catValu>
        <labl>
          France 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250201101
        </catValu>
        <labl>
          France 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275199701
        </catValu>
        <labl>
          Palestine 1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275200701
        </catValu>
        <labl>
          Palestine 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276197001
        </catValu>
        <labl>
          Germany 1970 (West)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276197101
        </catValu>
        <labl>
          Germany 1971 (East)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276198101
        </catValu>
        <labl>
          Germany 1981 (East)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276198701
        </catValu>
        <labl>
          Germany 1987 (West)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288198401
        </catValu>
        <labl>
          Ghana 1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288200001
        </catValu>
        <labl>
          Ghana 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288201001
        </catValu>
        <labl>
          Ghana 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300197101
        </catValu>
        <labl>
          Greece 1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300198101
        </catValu>
        <labl>
          Greece 1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300199101
        </catValu>
        <labl>
          Greece 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300200101
        </catValu>
        <labl>
          Greece 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324198301
        </catValu>
        <labl>
          Guinea 1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324199601
        </catValu>
        <labl>
          Guinea 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332197101
        </catValu>
        <labl>
          Haiti 1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332198201
        </catValu>
        <labl>
          Haiti 1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332200301
        </catValu>
        <labl>
          Haiti 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348197001
        </catValu>
        <labl>
          Hungary 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348198001
        </catValu>
        <labl>
          Hungary 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348199001
        </catValu>
        <labl>
          Hungary 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348200101
        </catValu>
        <labl>
          Hungary 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356198341
        </catValu>
        <labl>
          India 1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356198741
        </catValu>
        <labl>
          India 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356199341
        </catValu>
        <labl>
          India 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356199941
        </catValu>
        <labl>
          India 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356200441
        </catValu>
        <labl>
          India 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360197101
        </catValu>
        <labl>
          Indonesia 1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360197601
        </catValu>
        <labl>
          Indonesia 1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360198001
        </catValu>
        <labl>
          Indonesia 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360198501
        </catValu>
        <labl>
          Indonesia 1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360199001
        </catValu>
        <labl>
          Indonesia 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360199501
        </catValu>
        <labl>
          Indonesia 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360200001
        </catValu>
        <labl>
          Indonesia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360200501
        </catValu>
        <labl>
          Indonesia 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360201001
        </catValu>
        <labl>
          Indonesia 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364200601
        </catValu>
        <labl>
          Iran 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368199701
        </catValu>
        <labl>
          Iraq 1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372197101
        </catValu>
        <labl>
          Ireland 1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372197901
        </catValu>
        <labl>
          Ireland 1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372198101
        </catValu>
        <labl>
          Ireland 1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372198601
        </catValu>
        <labl>
          Ireland 1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372199101
        </catValu>
        <labl>
          Ireland 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372199601
        </catValu>
        <labl>
          Ireland 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372200201
        </catValu>
        <labl>
          Ireland 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372200601
        </catValu>
        <labl>
          Ireland 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372201101
        </catValu>
        <labl>
          Ireland 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376197201
        </catValu>
        <labl>
          Israel 1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376198301
        </catValu>
        <labl>
          Israel 1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376199501
        </catValu>
        <labl>
          Israel 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380200101
        </catValu>
        <labl>
          Italy 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388198201
        </catValu>
        <labl>
          Jamaica 1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388199101
        </catValu>
        <labl>
          Jamaica 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388200101
        </catValu>
        <labl>
          Jamaica 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400200401
        </catValu>
        <labl>
          Jordan 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404196901
        </catValu>
        <labl>
          Kenya 1969
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404197901
        </catValu>
        <labl>
          Kenya 1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404198901
        </catValu>
        <labl>
          Kenya 1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404199901
        </catValu>
        <labl>
          Kenya 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404200901
        </catValu>
        <labl>
          Kenya 2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417199901
        </catValu>
        <labl>
          Kyrgyz Republic 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417200901
        </catValu>
        <labl>
          Kyrgyz Republic 2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430197401
        </catValu>
        <labl>
          Liberia 1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430200801
        </catValu>
        <labl>
          Liberia 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454198701
        </catValu>
        <labl>
          Malawi 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454199801
        </catValu>
        <labl>
          Malawi 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454200801
        </catValu>
        <labl>
          Malawi 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458197001
        </catValu>
        <labl>
          Malaysia 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458198001
        </catValu>
        <labl>
          Malaysia 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458199101
        </catValu>
        <labl>
          Malaysia 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458200001
        </catValu>
        <labl>
          Malaysia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466198701
        </catValu>
        <labl>
          Mali 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466199801
        </catValu>
        <labl>
          Mali 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466200901
        </catValu>
        <labl>
          Mali 2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484196001
        </catValu>
        <labl>
          Mexico 1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484197001
        </catValu>
        <labl>
          Mexico 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484199001
        </catValu>
        <labl>
          Mexico 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484199501
        </catValu>
        <labl>
          Mexico 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484200001
        </catValu>
        <labl>
          Mexico 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484200501
        </catValu>
        <labl>
          Mexico 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484201001
        </catValu>
        <labl>
          Mexico 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496198901
        </catValu>
        <labl>
          Mongolia 1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496200001
        </catValu>
        <labl>
          Mongolia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504198201
        </catValu>
        <labl>
          Morocco 1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504199401
        </catValu>
        <labl>
          Morocco 1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504200401
        </catValu>
        <labl>
          Morocco 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508199701
        </catValu>
        <labl>
          Mozambique 1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508200701
        </catValu>
        <labl>
          Mozambique 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524200101
        </catValu>
        <labl>
          Nepal 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          528196001
        </catValu>
        <labl>
          Netherlands 1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          528197101
        </catValu>
        <labl>
          Netherlands 1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          528200101
        </catValu>
        <labl>
          Netherlands 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558197101
        </catValu>
        <labl>
          Nicaragua 1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558199501
        </catValu>
        <labl>
          Nicaragua 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558200501
        </catValu>
        <labl>
          Nicaragua 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566200621
        </catValu>
        <labl>
          Nigeria 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566200721
        </catValu>
        <labl>
          Nigeria 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566200821
        </catValu>
        <labl>
          Nigeria 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566200921
        </catValu>
        <labl>
          Nigeria 2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566201021
        </catValu>
        <labl>
          Nigeria 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586197301
        </catValu>
        <labl>
          Pakistan 1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586198101
        </catValu>
        <labl>
          Pakistan 1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586199801
        </catValu>
        <labl>
          Pakistan 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591196001
        </catValu>
        <labl>
          Panama 1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591197001
        </catValu>
        <labl>
          Panama 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591198001
        </catValu>
        <labl>
          Panama 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591199001
        </catValu>
        <labl>
          Panama 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591200001
        </catValu>
        <labl>
          Panama 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591201001
        </catValu>
        <labl>
          Panama 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600196201
        </catValu>
        <labl>
          Paraguay 1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600197201
        </catValu>
        <labl>
          Paraguay 1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600198201
        </catValu>
        <labl>
          Paraguay 1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600199201
        </catValu>
        <labl>
          Paraguay 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600200201
        </catValu>
        <labl>
          Paraguay 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604199301
        </catValu>
        <labl>
          Peru 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604200701
        </catValu>
        <labl>
          Peru 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608199001
        </catValu>
        <labl>
          Philippines 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608199501
        </catValu>
        <labl>
          Philippines 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608200001
        </catValu>
        <labl>
          Philippines 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620198101
        </catValu>
        <labl>
          Portugal 1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620199101
        </catValu>
        <labl>
          Portugal 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620200101
        </catValu>
        <labl>
          Portugal 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620201101
        </catValu>
        <labl>
          Portugal 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630197001
        </catValu>
        <labl>
          Puerto Rico 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630198001
        </catValu>
        <labl>
          Puerto Rico 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630199001
        </catValu>
        <labl>
          Puerto Rico 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630200001
        </catValu>
        <labl>
          Puerto Rico 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630200501
        </catValu>
        <labl>
          Puerto Rico 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630201001
        </catValu>
        <labl>
          Puerto Rico 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642197701
        </catValu>
        <labl>
          Romania 1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642199201
        </catValu>
        <labl>
          Romania 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642200201
        </catValu>
        <labl>
          Romania 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646199101
        </catValu>
        <labl>
          Rwanda 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646200201
        </catValu>
        <labl>
          Rwanda 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          662198001
        </catValu>
        <labl>
          Saint Lucia 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          662199101
        </catValu>
        <labl>
          Saint Lucia 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686198801
        </catValu>
        <labl>
          Senegal 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686200201
        </catValu>
        <labl>
          Senegal 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694200401
        </catValu>
        <labl>
          Sierra Leone 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704198901
        </catValu>
        <labl>
          Vietnam 1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704199901
        </catValu>
        <labl>
          Vietnam 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704200901
        </catValu>
        <labl>
          Vietnam 2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705200201
        </catValu>
        <labl>
          Slovenia 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710199601
        </catValu>
        <labl>
          South Africa 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710200101
        </catValu>
        <labl>
          South Africa 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710200701
        </catValu>
        <labl>
          South Africa 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710201101
        </catValu>
        <labl>
          South Africa 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724198101
        </catValu>
        <labl>
          Spain 1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724199101
        </catValu>
        <labl>
          Spain 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724200101
        </catValu>
        <labl>
          Spain 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724201101
        </catValu>
        <labl>
          Spain 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          728200801
        </catValu>
        <labl>
          South Sudan 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729200801
        </catValu>
        <labl>
          Sudan 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756197001
        </catValu>
        <labl>
          Switzerland 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756198001
        </catValu>
        <labl>
          Switzerland 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756199001
        </catValu>
        <labl>
          Switzerland 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756200001
        </catValu>
        <labl>
          Switzerland 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764197001
        </catValu>
        <labl>
          Thailand 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764198001
        </catValu>
        <labl>
          Thailand 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764199001
        </catValu>
        <labl>
          Thailand 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764200001
        </catValu>
        <labl>
          Thailand 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792198501
        </catValu>
        <labl>
          Turkey 1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792199001
        </catValu>
        <labl>
          Turkey 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792200001
        </catValu>
        <labl>
          Turkey 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800199101
        </catValu>
        <labl>
          Uganda 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800200201
        </catValu>
        <labl>
          Uganda 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804200101
        </catValu>
        <labl>
          Ukraine 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818199601
        </catValu>
        <labl>
          Egypt 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818200601
        </catValu>
        <labl>
          Egypt 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826199101
        </catValu>
        <labl>
          United Kingdom 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826200101
        </catValu>
        <labl>
          United Kingdom 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834198801
        </catValu>
        <labl>
          Tanzania 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834200201
        </catValu>
        <labl>
          Tanzania 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840196001
        </catValu>
        <labl>
          United States 1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840197001
        </catValu>
        <labl>
          United States 1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840198001
        </catValu>
        <labl>
          United States 1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840199001
        </catValu>
        <labl>
          United States 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840200001
        </catValu>
        <labl>
          United States 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840200501
        </catValu>
        <labl>
          United States 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840201001
        </catValu>
        <labl>
          United States 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854198501
        </catValu>
        <labl>
          Burkina Faso 1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854199601
        </catValu>
        <labl>
          Burkina Faso 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854200601
        </catValu>
        <labl>
          Burkina Faso 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858196301
        </catValu>
        <labl>
          Uruguay 1963
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858197501
        </catValu>
        <labl>
          Uruguay 1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858198501
        </catValu>
        <labl>
          Uruguay 1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858199601
        </catValu>
        <labl>
          Uruguay 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858200621
        </catValu>
        <labl>
          Uruguay 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858201101
        </catValu>
        <labl>
          Uruguay 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862197101
        </catValu>
        <labl>
          Venezuela 1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862198101
        </catValu>
        <labl>
          Venezuela 1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862199001
        </catValu>
        <labl>
          Venezuela 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862200101
        </catValu>
        <labl>
          Venezuela 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          894199001
        </catValu>
        <labl>
          Zambia 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          894200001
        </catValu>
        <labl>
          Zambia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          894201001
        </catValu>
        <labl>
          Zambia 2010
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Technical Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4" name="SERIAL" files="F1" dcml="0" intrvl="contin">
      <location StartPos="18" EndPos="27" width="10" RecSegNo="1"/>
      <labl>
        Household serial number
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database. 

SERIAL can be used to identify dwellings in some samples.  In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure.  The last three digits give the sequence of the household within the dwelling.  The following is a list of samples in which dwellings can be inferred:

Chile 1970, 1992, 2002
Colombia 1993, 2005
Costa Rica 1984, 2000
Cuba 2002
Dominican Republic 1981, 2002, 2010
Ecuador 1990, 2001
Germany 1971
Hungary 1980, 1990, 2001
Jamaica 1982, 1991, 2001
Malaysia 1970, 1991, 2000
Mexico 1995, 1990, 2000, 2005
Nigeria 2006
Panama 2000
Peru 1993, 2007
Portugal 1981, 1991, 2001
Spain 1991
Uruguay 2011
Venezuela 1990, 2001
Vietnam 1989  


In all other samples, the last 3 digits are always zeroes.

SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets.]]>
      </txt>
      <codInstr>
        <![CDATA[SERIAL is a 10-digit numeric variable.

The last 3 digits of SERIAL indicate household number within dwelling for selected samples noted in the variable description. In all other samples, the last 3 digits are always zeroes.]]>
      </codInstr>
      <concept vocab="IPUMS">
        Technical Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V5" name="PERSONS" files="F1" dcml="0" intrvl="contin">
      <location StartPos="28" EndPos="30" width="3" RecSegNo="1"/>
      <labl>
        Number of person records in the household
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons.
      </txt>
      <codInstr>
        PERSONS is a 3-digit numeric variable.
      </codInstr>
      <concept vocab="IPUMS">
        Technical Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V6" name="SUBSAMP" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="39" EndPos="40" width="2" RecSegNo="1"/>
      <labl>
        Subsample number
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          1st 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          2nd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          3rd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          4th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          5th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          6th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          7th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          8th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          9th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          10th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          11th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          12th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          13th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          14th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          15th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          16th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          17th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          18th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          19th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          20th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          21st 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          22nd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          23rd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          24th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          25th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          26th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          27th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          28th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          29th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          30th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          31st 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          32nd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          33rd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          34th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          35th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          36th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          37th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          38th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          39th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          40th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          41st 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          42nd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          43rd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          44th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          45th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          46th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          47th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          48th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          49th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          50th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          51st 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          52nd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          53rd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          54th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          55th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          56th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          57th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          58th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          59th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          60th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          61st 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          62nd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          63rd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          64th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          65th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          66th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          67th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          68th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          69th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          70th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          71st 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          72nd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          73rd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          74th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          75th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          76th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          77th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          78th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          79th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          80th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          81st 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          82nd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          83rd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          84th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          85th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          86th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          87th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          88th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          89th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          90th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          91st 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          92nd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          93rd 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          94th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          95th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          96th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          97th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          98th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          99th 1% subsample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          100th 1% subsample
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Technical Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V7" name="GQ" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="41" EndPos="42" width="2" RecSegNo="1"/>
      <labl>
        Group quarters (collective dwelling) status
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools.

Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification. 

Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Vacant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Households
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Group quarters, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Institutions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Other group quarters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          1-person unit created by splitting large household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown/group quarters not identified
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Group Quarters Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V8" name="UNREL" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Number of unrelated persons
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        UNREL indicates the number of persons in the household who are unrelated to the head.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9+
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Group Quarters Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V9" name="URBAN" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="44" EndPos="44" width="1" RecSegNo="1"/>
      <labl>
        Urban-rural status
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        URBAN indicates whether the household was located in a place designated as urban or as rural.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography: Global Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V10" name="REGIONW" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="45" EndPos="46" width="2" RecSegNo="1"/>
      <labl>
        Continent and region of country
      </labl>
      <valrng>
        <range UNITS="REAL" min="11" max="54"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        REGIONW identifies the continent and region of each country.
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Eastern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Middle Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Northern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Southern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Western Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Caribbean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Central America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          North America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          South America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Central Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Eastern Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Southern Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          South-Eastern Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Western Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Eastern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Northern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Southern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Western Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Australia and New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Melanesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Micronesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Polynesia
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography: Global Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V11" name="REGNBR" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="61" EndPos="61" width="1" RecSegNo="1"/>
      <labl>
        Brazil, Region
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="5"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[REGNBR indicates the region in Brazil in which the household was enumerated. REGNBR is harmonized by name and does not account for boundary changes over time.

The full set of geography variables for Brazil can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          North
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Northeast
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Southeast
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          South
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Midwest
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography: A-L Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V12" name="WATSUP" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="67" EndPos="68" width="2" RecSegNo="1"/>
      <labl>
        Water supply
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WATSUP describes the physical means by which the housing unit receives its water.  The primary distinction is whether or not the household had piped (running) water.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, piped water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Piped inside dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Piped, exclusively to this household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Piped, shared with other households
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Piped outside the dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Piped outside dwelling, in building
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Piped within the building or plot of land
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Piped outside the building or lot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Have access to public piped water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          No piped water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V13" name="SEWAGE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="69" EndPos="70" width="2" RecSegNo="1"/>
      <labl>
        Sewage
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SEWAGE indicates whether the household has access to a sewage system or septic tank.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Connected to sewage system or septic tank
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sewage system (public sewage disposal)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Septic tank (private sewage disposal)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Not connected to sewage disposal system
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V14" name="REFRIG" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="73" EndPos="73" width="1" RecSegNo="1"/>
      <labl>
        Refrigerator
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        REFRIG indicates whether the household had a refrigerator.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V15" name="TV" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="74" EndPos="75" width="2" RecSegNo="1"/>
      <labl>
        Television set
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TV indicates whether the household had a television.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, color or black-and-white not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          1 television
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          2 televisions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          3 televisions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          4 televisions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          5 televisions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          6 televisions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          7 televisions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          8 televisions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          9+ televisions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Yes, color only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          1 color tv
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          2 color tvs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          3+ color tvs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Yes, black-and-white only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          1 black-white tv
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          2 black-white tvs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          3+ black-white tvs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Yes, both color and black-and-white
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          2+ color and black-white tvs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          3+ color and black-white tvs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          4+ color and black-white tvs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V16" name="RADIO" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="76" EndPos="76" width="1" RecSegNo="1"/>
      <labl>
        Radio in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        RADIO indicates whether the household had a radio.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V17" name="ROOMS" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="77" EndPos="78" width="2" RecSegNo="1"/>
      <labl>
        Number of rooms
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ROOMS indicates the number of rooms occupied by the housing unit.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Part of a room; no rooms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V18" name="HHTYPE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="81" EndPos="82" width="2" RecSegNo="1"/>
      <labl>
        Household classification
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHTYPE is a constructed variable that describes the composition of households. 
HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Vacant household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          One-person household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married/cohab couple, no children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married/cohab couple with children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Single-parent family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Polygamous family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Extended family, relatives only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Composite household, family and non-relatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Non-family household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unclassified subfamily
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Other relative or non-relative household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Group quarters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unclassifiable
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V19" name="NFAMS" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="83" EndPos="83" width="1" RecSegNo="1"/>
      <labl>
        Number of families in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NFAMS is a constructed variable that indicates the number of families within each household. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and her servant contains two families; a household consisting of a large, multiple-generation extended family with no lodgers or servants would count as a single family.  

NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father).  See those variable descriptions for more detail.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Vacant household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 families
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 families
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 families
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 families
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 families
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 families
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 families
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 or more families
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V20" name="HEADLOC" files="F1" dcml="0" intrvl="contin">
      <location StartPos="87" EndPos="89" width="3" RecSegNo="1"/>
      <labl>
        Head's location in household
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HEADLOC gives the person number of the head of household in samples in which persons are organized into households.
      </txt>
      <codInstr>
        This is a 3-digit numeric variable with 0 implied decimal places
      </codInstr>
      <concept vocab="IPUMS">
        Constructed Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V21" name="GEOLEV1" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="47" EndPos="52" width="6" RecSegNo="1"/>
      <labl>
        1st subnational geographic level, world [consistent boundaries over time]
      </labl>
      <valrng>
        <range UNITS="REAL" min="32002" max="894010"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEOLEV1 indicates the major administrative unit in which the household was enumerated.  The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country.]]>
      </txt>
      <catgry>
        <catValu>
          32002
        </catValu>
        <labl>
          City of Buenos Aires [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32006
        </catValu>
        <labl>
          Buenos Aires province [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32010
        </catValu>
        <labl>
          Catamarca [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32014
        </catValu>
        <labl>
          Córdoba [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32018
        </catValu>
        <labl>
          Corrientes [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32022
        </catValu>
        <labl>
          Chaco [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32026
        </catValu>
        <labl>
          Chubut [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32030
        </catValu>
        <labl>
          Entre Ríos [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32034
        </catValu>
        <labl>
          Formosa [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32038
        </catValu>
        <labl>
          Jujuy [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32042
        </catValu>
        <labl>
          La Pampa [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32046
        </catValu>
        <labl>
          La Rioja [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32050
        </catValu>
        <labl>
          Mendoza [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32054
        </catValu>
        <labl>
          Misiones [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32058
        </catValu>
        <labl>
          Neuquén [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32062
        </catValu>
        <labl>
          Río Negro [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32066
        </catValu>
        <labl>
          Salta [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32070
        </catValu>
        <labl>
          San Juan [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32074
        </catValu>
        <labl>
          San Luis [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32078
        </catValu>
        <labl>
          Santa Cruz [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32082
        </catValu>
        <labl>
          Santa Fe [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32086
        </catValu>
        <labl>
          Santiago del Estero [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32090
        </catValu>
        <labl>
          Tucumán [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32094
        </catValu>
        <labl>
          Tierra del Fuego [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32099
        </catValu>
        <labl>
          Unknown [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40011
        </catValu>
        <labl>
          Burgenland [State: Austria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40012
        </catValu>
        <labl>
          Niederösterreich [State: Austria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40013
        </catValu>
        <labl>
          Wien [State: Austria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40021
        </catValu>
        <labl>
          Kärnten [State: Austria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40022
        </catValu>
        <labl>
          Steiermark [State: Austria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40031
        </catValu>
        <labl>
          Oberösterreich [State: Austria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40032
        </catValu>
        <labl>
          Salzburg [State: Austria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40033
        </catValu>
        <labl>
          Tirol [State: Austria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40034
        </catValu>
        <labl>
          Vorarlberg [State: Austria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50010
        </catValu>
        <labl>
          Barisal [Division, Bangladesh]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50020
        </catValu>
        <labl>
          Chittagong [Division, Bangladesh]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50030
        </catValu>
        <labl>
          Dhaka [Division, Bangladesh]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50040
        </catValu>
        <labl>
          Khulna [Division, Bangladesh]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50050
        </catValu>
        <labl>
          Rajshahi, Rangpur [Division, Bangladesh]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50060
        </catValu>
        <labl>
          Sylhet [Division, Bangladesh]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51901
        </catValu>
        <labl>
          Yerevan [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51902
        </catValu>
        <labl>
          Aragatsotn [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51903
        </catValu>
        <labl>
          Ararat [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51904
        </catValu>
        <labl>
          Armavir [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51905
        </catValu>
        <labl>
          Gegharkunik [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51906
        </catValu>
        <labl>
          Lori [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51907
        </catValu>
        <labl>
          Kotayk [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51908
        </catValu>
        <labl>
          Shirak [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51909
        </catValu>
        <labl>
          Syunik [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51910
        </catValu>
        <labl>
          Vayots Dzor [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51911
        </catValu>
        <labl>
          Tavush [Province: Armenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68001
        </catValu>
        <labl>
          Chuquisaca [Department: Bolivia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68002
        </catValu>
        <labl>
          La Paz [Department: Bolivia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68003
        </catValu>
        <labl>
          Cochabamba [Department: Bolivia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68004
        </catValu>
        <labl>
          Oruro [Department: Bolivia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68005
        </catValu>
        <labl>
          Potosí [Department: Bolivia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68006
        </catValu>
        <labl>
          Tarija [Department: Bolivia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68007
        </catValu>
        <labl>
          Santa Cruz [Department: Bolivia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68008
        </catValu>
        <labl>
          Beni [Department: Bolivia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68009
        </catValu>
        <labl>
          Pando [Department: Bolivia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76011
        </catValu>
        <labl>
          Rondonia [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76012
        </catValu>
        <labl>
          Acre [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76013
        </catValu>
        <labl>
          Amazonas [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76014
        </catValu>
        <labl>
          Roraima [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76015
        </catValu>
        <labl>
          Pará [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76016
        </catValu>
        <labl>
          Amapa [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76021
        </catValu>
        <labl>
          Maranhao [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76022
        </catValu>
        <labl>
          Piauí [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76023
        </catValu>
        <labl>
          Ceará [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76024
        </catValu>
        <labl>
          Rio Grande do Norte [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76025
        </catValu>
        <labl>
          Paraiba [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76026
        </catValu>
        <labl>
          Pernambuco [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76027
        </catValu>
        <labl>
          Alagoas [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76028
        </catValu>
        <labl>
          Sergipe [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76029
        </catValu>
        <labl>
          Bahia [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76031
        </catValu>
        <labl>
          Minas Gerais [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76032
        </catValu>
        <labl>
          Espírito Santo [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76033
        </catValu>
        <labl>
          Rio de Janeiro [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76035
        </catValu>
        <labl>
          São Paulo [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76041
        </catValu>
        <labl>
          Parana [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76042
        </catValu>
        <labl>
          Santa Catarina [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76043
        </catValu>
        <labl>
          Rio Grande do Sul [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76051
        </catValu>
        <labl>
          Mato Grosso, Mato Grosso do Sul [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76052
        </catValu>
        <labl>
          Goiás and Tocantins [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76053
        </catValu>
        <labl>
          Distrito Federal [State: Brazil]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112001
        </catValu>
        <labl>
          Brest [Region: Belarus]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112002
        </catValu>
        <labl>
          Vitebsk [Region: Belarus]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112003
        </catValu>
        <labl>
          Gomel [Region: Belarus]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112004
        </catValu>
        <labl>
          Grodno [Region: Belarus]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112006
        </catValu>
        <labl>
          Minsk [Region: Belarus]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112007
        </catValu>
        <labl>
          Mogilev [Region: Belarus]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116001
        </catValu>
        <labl>
          Banteay Meanchey [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116002
        </catValu>
        <labl>
          Battambang [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116003
        </catValu>
        <labl>
          Kampong Cham [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116004
        </catValu>
        <labl>
          Kampong Chhnang [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116005
        </catValu>
        <labl>
          Kampong Speu [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116006
        </catValu>
        <labl>
          Kampong Thom [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116007
        </catValu>
        <labl>
          Kampot [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116008
        </catValu>
        <labl>
          Kandal [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116009
        </catValu>
        <labl>
          Koh Kong [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116010
        </catValu>
        <labl>
          Kratie [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116011
        </catValu>
        <labl>
          Mondul Kiri [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116012
        </catValu>
        <labl>
          Phnom Penh [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116013
        </catValu>
        <labl>
          Preah Vihear [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116014
        </catValu>
        <labl>
          Prey Veng [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116015
        </catValu>
        <labl>
          Pursat [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116016
        </catValu>
        <labl>
          Rotanak Kiri [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116017
        </catValu>
        <labl>
          Siem Reap and Otdar Meanchey [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116018
        </catValu>
        <labl>
          Preah Sihanouk [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116019
        </catValu>
        <labl>
          Stung Treng [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116020
        </catValu>
        <labl>
          Svay Rieng [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116021
        </catValu>
        <labl>
          Takeo [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116023
        </catValu>
        <labl>
          Kep [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116024
        </catValu>
        <labl>
          Pailin [Province: Cambodia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120002
        </catValu>
        <labl>
          Centre, Sud [Province: Cameroon]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120003
        </catValu>
        <labl>
          Est [Province: Cameroon]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120004
        </catValu>
        <labl>
          Nord, Adamoua , Extrème Nord [Province: Cameroon]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120005
        </catValu>
        <labl>
          Littoral [Province: Cameroon]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120007
        </catValu>
        <labl>
          Nord Ouest [Province: Cameroon]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120008
        </catValu>
        <labl>
          Ouest [Province: Cameroon]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120010
        </catValu>
        <labl>
          Sud Ouest [Province: Cameroon]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124010
        </catValu>
        <labl>
          Newfoundland and Labrador [Province: Canada]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124011
        </catValu>
        <labl>
          Prince Edward Island, Yukon, Northwest Territories, and Nunavut [Province: Canada]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124012
        </catValu>
        <labl>
          Nova Scotia [Province: Canada]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124013
        </catValu>
        <labl>
          New Brunswick [Province: Canada]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124024
        </catValu>
        <labl>
          Quebec [Province: Canada]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124035
        </catValu>
        <labl>
          Ontario [Province: Canada]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124046
        </catValu>
        <labl>
          Manitoba [Province: Canada]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124047
        </catValu>
        <labl>
          Saskatchewan [Province: Canada]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124048
        </catValu>
        <labl>
          Alberta [Province: Canada]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124059
        </catValu>
        <labl>
          British Columbia [Province: Canada]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152002
        </catValu>
        <labl>
          Antofagasta and Tarapacá [Region: Chile]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152004
        </catValu>
        <labl>
          Atacama and Coquimbo [Region: Chile]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152007
        </catValu>
        <labl>
          Del Maule [Region: Chile]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152008
        </catValu>
        <labl>
          Del Biobio [Region: Chile]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152009
        </catValu>
        <labl>
          La Araucanía [Region: Chile]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152010
        </catValu>
        <labl>
          Aysen del Gral Carlos Ibáñez del Campo and Los Lagos [Region: Chile]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152012
        </catValu>
        <labl>
          Magallanes and La Antártica Chilena [Region: Chile]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152013
        </catValu>
        <labl>
          Libertador General Bernardo O"Higgins, Metropolitana de Santiago, and Valparaiso [Region: Chile]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152099
        </catValu>
        <labl>
          Unknown [Region: Chile]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156011
        </catValu>
        <labl>
          Beijing (municipality) [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156012
        </catValu>
        <labl>
          Tianjin (municipality) [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156013
        </catValu>
        <labl>
          Hebei [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156014
        </catValu>
        <labl>
          Shanxi [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156015
        </catValu>
        <labl>
          Inner Mongolia [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156021
        </catValu>
        <labl>
          Liaoning [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156022
        </catValu>
        <labl>
          Jilin [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156023
        </catValu>
        <labl>
          Heilongjiang [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156031
        </catValu>
        <labl>
          Shanghai (municipality) [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156032
        </catValu>
        <labl>
          Jiangsu [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156033
        </catValu>
        <labl>
          Zhejiang [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156034
        </catValu>
        <labl>
          Anhui [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156035
        </catValu>
        <labl>
          Fujian [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156036
        </catValu>
        <labl>
          Jiangxi [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156037
        </catValu>
        <labl>
          Shangdong [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156041
        </catValu>
        <labl>
          Henan [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156042
        </catValu>
        <labl>
          Hubei [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156043
        </catValu>
        <labl>
          Hunan [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156044
        </catValu>
        <labl>
          Guangdong and Hainan [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156045
        </catValu>
        <labl>
          Guangxi [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156051
        </catValu>
        <labl>
          Sichuan [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156052
        </catValu>
        <labl>
          Guizhou [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156053
        </catValu>
        <labl>
          Yunnan [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156054
        </catValu>
        <labl>
          Tibet [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156061
        </catValu>
        <labl>
          Shaanxi [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156062
        </catValu>
        <labl>
          Gansu [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156063
        </catValu>
        <labl>
          Qinghai [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156064
        </catValu>
        <labl>
          Ningxia [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156065
        </catValu>
        <labl>
          Xinjiang [Province: China]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170005
        </catValu>
        <labl>
          Antioquia [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170008
        </catValu>
        <labl>
          Atlántico [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170011
        </catValu>
        <labl>
          Bogotá [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170013
        </catValu>
        <labl>
          Bolívar and Sucre [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170015
        </catValu>
        <labl>
          Boyacá and Casanare [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170018
        </catValu>
        <labl>
          Caquetá [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170019
        </catValu>
        <labl>
          Cauca [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170023
        </catValu>
        <labl>
          Córdoba [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170025
        </catValu>
        <labl>
          Cundinamarca [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170027
        </catValu>
        <labl>
          Chocó [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170041
        </catValu>
        <labl>
          Huila [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170044
        </catValu>
        <labl>
          La Guajira [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170047
        </catValu>
        <labl>
          Cesar and Magdalena [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170050
        </catValu>
        <labl>
          Meta and Vichada [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170052
        </catValu>
        <labl>
          Nariño [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170054
        </catValu>
        <labl>
          Norte de Santander [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170066
        </catValu>
        <labl>
          Caldas, Quindío, and Risaralda [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170068
        </catValu>
        <labl>
          Santander [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170073
        </catValu>
        <labl>
          Tolima [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170076
        </catValu>
        <labl>
          Valle [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170081
        </catValu>
        <labl>
          Arauca [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170086
        </catValu>
        <labl>
          Putumayo [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170088
        </catValu>
        <labl>
          San Andrés [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170091
        </catValu>
        <labl>
          Amazonas [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170095
        </catValu>
        <labl>
          Guaviare, Vaupés, and Guainía [Department: Colombia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188001
        </catValu>
        <labl>
          San José [Province: Costa Rica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188002
        </catValu>
        <labl>
          Alajuela [Province: Costa Rica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188003
        </catValu>
        <labl>
          Cartago [Province: Costa Rica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188004
        </catValu>
        <labl>
          Heredia [Province: Costa Rica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188005
        </catValu>
        <labl>
          Guanacaste [Province: Costa Rica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188006
        </catValu>
        <labl>
          Puntarenas [Province: Costa Rica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188007
        </catValu>
        <labl>
          Limón [Province: Costa Rica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192001
        </catValu>
        <labl>
          Pinar del Río [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192002
        </catValu>
        <labl>
          La Habana [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192003
        </catValu>
        <labl>
          Ciudad de la Habana [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192004
        </catValu>
        <labl>
          Matanzas [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192005
        </catValu>
        <labl>
          Villa Clara [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192006
        </catValu>
        <labl>
          Cienfuegos [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192007
        </catValu>
        <labl>
          Sancti Spiritus [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192008
        </catValu>
        <labl>
          Ciego de Avila [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192009
        </catValu>
        <labl>
          Camagüey [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192010
        </catValu>
        <labl>
          Las Tunas [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192011
        </catValu>
        <labl>
          Holguín [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192012
        </catValu>
        <labl>
          Granma [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192013
        </catValu>
        <labl>
          Santiago de Cuba [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192014
        </catValu>
        <labl>
          Guantánamo [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192099
        </catValu>
        <labl>
          Isla de la Juventud [Province: Cuba]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214001
        </catValu>
        <labl>
          Federal district and Santo Domingo [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214002
        </catValu>
        <labl>
          Azua [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214003
        </catValu>
        <labl>
          Baoruco [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214004
        </catValu>
        <labl>
          Barahona [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214005
        </catValu>
        <labl>
          Dajabón [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214006
        </catValu>
        <labl>
          Duarte [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214007
        </catValu>
        <labl>
          Elías Piña [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214008
        </catValu>
        <labl>
          El Seibo and Hato Mayor [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214009
        </catValu>
        <labl>
          Espaillat [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214010
        </catValu>
        <labl>
          Independencia [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214011
        </catValu>
        <labl>
          La Altagracia and La Romana [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214013
        </catValu>
        <labl>
          La Vega and Monseñor Nouel [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214014
        </catValu>
        <labl>
          María Trinidad Sánchez and Samaná [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214015
        </catValu>
        <labl>
          Monte Cristi [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214016
        </catValu>
        <labl>
          Pedernales [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214017
        </catValu>
        <labl>
          Peravia and San José de Ocoa [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214018
        </catValu>
        <labl>
          Puerto Plata [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214019
        </catValu>
        <labl>
          Hermanas Mirabal [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214021
        </catValu>
        <labl>
          San Cristóbal and Monte Plata [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214022
        </catValu>
        <labl>
          San Juan [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214023
        </catValu>
        <labl>
          San Pedro de Macorís [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214024
        </catValu>
        <labl>
          Sánchez Ramírez [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214025
        </catValu>
        <labl>
          Santiago [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214026
        </catValu>
        <labl>
          Santiago Rodríguez [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214027
        </catValu>
        <labl>
          Valverde [Province: Dominican Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218001
        </catValu>
        <labl>
          Azuay [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218002
        </catValu>
        <labl>
          Bolívar [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218004
        </catValu>
        <labl>
          Carchi [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218005
        </catValu>
        <labl>
          Cotopaxi [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218006
        </catValu>
        <labl>
          Chimborazo [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218007
        </catValu>
        <labl>
          El Oro [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218009
        </catValu>
        <labl>
          Cañar, Esmeraldas, Guayas, Manabí, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los Ríos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos [Disputed canton], Pichincha, El Piedrero
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218010
        </catValu>
        <labl>
          Imbabura, Las Golondrinas [Disputed canton] [Disputed canton]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218011
        </catValu>
        <labl>
          Loja [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218014
        </catValu>
        <labl>
          Morona Santiago [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218016
        </catValu>
        <labl>
          Pastaza [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218018
        </catValu>
        <labl>
          Tungurahua [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218019
        </catValu>
        <labl>
          Zamora Chinchipe [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218021
        </catValu>
        <labl>
          Napo, Orellana, Sucumbíos [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218099
        </catValu>
        <labl>
          Unknown [Province: Ecuador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222001
        </catValu>
        <labl>
          Ahuachapán [Department: El Salvador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222002
        </catValu>
        <labl>
          Santa Ana [Department: El Salvador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222003
        </catValu>
        <labl>
          Sonsonate [Department: El Salvador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222004
        </catValu>
        <labl>
          Chalatenango [Department: El Salvador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222005
        </catValu>
        <labl>
          La Libertad [Department: El Salvador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222006
        </catValu>
        <labl>
          San Salvador [Department: El Salvador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222007
        </catValu>
        <labl>
          Cuscatlán [Department: El Salvador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222008
        </catValu>
        <labl>
          La Paz [Department: El Salvador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222009
        </catValu>
        <labl>
          Cabañas [Department: El Salvador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222010
        </catValu>
        <labl>
          San Vicente [Department: El Salvador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222011
        </catValu>
        <labl>
          Usulután [Department: El Salvador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222012
        </catValu>
        <labl>
          San Miguel [Department: El Salvador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222013
        </catValu>
        <labl>
          Morazán [Department: El Salvador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222014
        </catValu>
        <labl>
          La Unión [Department: El Salvador]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231001
        </catValu>
        <labl>
          Tigray [Region: Ethiopia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231002
        </catValu>
        <labl>
          Affar [Region: Ethiopia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231003
        </catValu>
        <labl>
          Amhara [Region: Ethiopia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231004
        </catValu>
        <labl>
          Oromiya [Region: Ethiopia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231005
        </catValu>
        <labl>
          Somali [Region: Ethiopia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231006
        </catValu>
        <labl>
          Benishangul-Gumz [Region: Ethiopia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231007
        </catValu>
        <labl>
          Southern Nations, Nationalities, and People (SNPP) [Region: Ethiopia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231012
        </catValu>
        <labl>
          Gambela [Region: Ethiopia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231013
        </catValu>
        <labl>
          Harari [Region: Ethiopia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231014
        </catValu>
        <labl>
          Addis Ababa [Region: Ethiopia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231015
        </catValu>
        <labl>
          Dire Dawa [Region: Ethiopia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231017
        </catValu>
        <labl>
          Special region [Region: Ethiopia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238094
        </catValu>
        <labl>
          Falkland Islands [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239094
        </catValu>
        <labl>
          South Georgia and South Sandwich Islands [Province: Argentina]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242001
        </catValu>
        <labl>
          Ba [Province: Fiji]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242003
        </catValu>
        <labl>
          Bua, Cakaudrove [Province: Fiji]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242006
        </catValu>
        <labl>
          Kadavu, Lau, Lomaiviti, Rotuma [Province: Fiji]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242007
        </catValu>
        <labl>
          Macuata [Province: Fiji]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242008
        </catValu>
        <labl>
          Nadroha [Province: Fiji]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242009
        </catValu>
        <labl>
          Naitasiri, Rewa [Province: Fiji]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242011
        </catValu>
        <labl>
          Ra [Province: Fiji]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242014
        </catValu>
        <labl>
          Serua, Namosi [Province: Fiji]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242015
        </catValu>
        <labl>
          Tailevu [Province: Fiji]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242099
        </catValu>
        <labl>
          Ships, unknown [Province: Fiji]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250001
        </catValu>
        <labl>
          Guadeloupe [Oversea Department, France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250002
        </catValu>
        <labl>
          Martinique [Oversea Department, France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250003
        </catValu>
        <labl>
          French Guyana [Oversea Department, France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250004
        </catValu>
        <labl>
          Réunion Island [Oversea Department, France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250011
        </catValu>
        <labl>
          Île-de-France [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250021
        </catValu>
        <labl>
          Champagne-Ardenne [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250022
        </catValu>
        <labl>
          Picardy [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250023
        </catValu>
        <labl>
          Upper Normandy [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250024
        </catValu>
        <labl>
          Centre [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250025
        </catValu>
        <labl>
          Lower Normandy [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250026
        </catValu>
        <labl>
          Burgundy [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250031
        </catValu>
        <labl>
          North Pas-de-Calais [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250041
        </catValu>
        <labl>
          Lorraine [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250042
        </catValu>
        <labl>
          Alsace [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250043
        </catValu>
        <labl>
          Franche-Comté [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250052
        </catValu>
        <labl>
          Loire Valley [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250053
        </catValu>
        <labl>
          Brittany [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250054
        </catValu>
        <labl>
          Poitou-Charentes [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250072
        </catValu>
        <labl>
          Aquitaine [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250073
        </catValu>
        <labl>
          Midi-Pyrénées [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250074
        </catValu>
        <labl>
          Limousin [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250082
        </catValu>
        <labl>
          Rhône-Alpes [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250083
        </catValu>
        <labl>
          Auvergne [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250091
        </catValu>
        <labl>
          Languedoc-Roussillon [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250093
        </catValu>
        <labl>
          Provence-Alpes-Riviera [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250094
        </catValu>
        <labl>
          Corsica [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250999
        </catValu>
        <labl>
          Unknown [Region: France]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275001
        </catValu>
        <labl>
          Jenin [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275005
        </catValu>
        <labl>
          Tubas [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275010
        </catValu>
        <labl>
          Tulkarm [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275015
        </catValu>
        <labl>
          Nablus [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275020
        </catValu>
        <labl>
          Qalqiliya [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275025
        </catValu>
        <labl>
          Salfit [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275030
        </catValu>
        <labl>
          Ramallah and Al-Bireh [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275035
        </catValu>
        <labl>
          Jericho [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275040
        </catValu>
        <labl>
          Jerusalem [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275045
        </catValu>
        <labl>
          Bethlehem [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275050
        </catValu>
        <labl>
          Hebron [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275055
        </catValu>
        <labl>
          North Gaza [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275060
        </catValu>
        <labl>
          Gaza [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275065
        </catValu>
        <labl>
          Deir Al-Balah [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275070
        </catValu>
        <labl>
          Khan Yunis [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275075
        </catValu>
        <labl>
          Rafah [Governorate: Palestine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276001
        </catValu>
        <labl>
          Schleswig-Holstein [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276002
        </catValu>
        <labl>
          Hamburg [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276003
        </catValu>
        <labl>
          Niedersachsen [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276004
        </catValu>
        <labl>
          Bremen [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276005
        </catValu>
        <labl>
          Nordrhein-Westfalen [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276006
        </catValu>
        <labl>
          Hessen [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276007
        </catValu>
        <labl>
          Rheinland-Pfalz [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276008
        </catValu>
        <labl>
          Baden-Württemberg [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276009
        </catValu>
        <labl>
          Bayern [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276010
        </catValu>
        <labl>
          Saarland [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276012
        </catValu>
        <labl>
          Brandenburg [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276013
        </catValu>
        <labl>
          Mecklenburg-West Pomerania [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276014
        </catValu>
        <labl>
          Saxony [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276015
        </catValu>
        <labl>
          Saxony-Anhalt [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276016
        </catValu>
        <labl>
          Thuringia [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276017
        </catValu>
        <labl>
          East Berlin [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276018
        </catValu>
        <labl>
          West Berlin [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276099
        </catValu>
        <labl>
          NIU (Not in universe) [State: Germany]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288001
        </catValu>
        <labl>
          Western [Region: Ghana]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288002
        </catValu>
        <labl>
          Central [Region: Ghana]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288003
        </catValu>
        <labl>
          Greater Accra [Region: Ghana]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288004
        </catValu>
        <labl>
          Volta [Region: Ghana]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288005
        </catValu>
        <labl>
          Eastern [Region: Ghana]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288006
        </catValu>
        <labl>
          Ashanti [Region: Ghana]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288007
        </catValu>
        <labl>
          Brong Ahafo [Region: Ghana]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288008
        </catValu>
        <labl>
          Northern [Region: Ghana]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288009
        </catValu>
        <labl>
          Upper East [Region: Ghana]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288010
        </catValu>
        <labl>
          Upper West [Region: Ghana]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300001
        </catValu>
        <labl>
          Etolia and Akarnania [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300003
        </catValu>
        <labl>
          Viotia [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300004
        </catValu>
        <labl>
          Evia [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300005
        </catValu>
        <labl>
          Evrytania [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300006
        </catValu>
        <labl>
          Fthiotida [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300007
        </catValu>
        <labl>
          Fokida [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300011
        </catValu>
        <labl>
          Argolida [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300012
        </catValu>
        <labl>
          Arkadia [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300013
        </catValu>
        <labl>
          Achaia [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300014
        </catValu>
        <labl>
          Ilia [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300015
        </catValu>
        <labl>
          Korinthia [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300016
        </catValu>
        <labl>
          Lakonia [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300017
        </catValu>
        <labl>
          Messinia [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300021
        </catValu>
        <labl>
          Zakynthos [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300022
        </catValu>
        <labl>
          Kerkyra [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300023
        </catValu>
        <labl>
          Kefallinia [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300024
        </catValu>
        <labl>
          Lefkada [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300031
        </catValu>
        <labl>
          Arta [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300032
        </catValu>
        <labl>
          Thesprotia [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300033
        </catValu>
        <labl>
          Ioannina [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300034
        </catValu>
        <labl>
          Preveza [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300041
        </catValu>
        <labl>
          Karditsa [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300042
        </catValu>
        <labl>
          Larissa [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300043
        </catValu>
        <labl>
          Magnissia [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300044
        </catValu>
        <labl>
          Trikala [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300051
        </catValu>
        <labl>
          Grevena [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300052
        </catValu>
        <labl>
          Drama [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300053
        </catValu>
        <labl>
          Imathia [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300054
        </catValu>
        <labl>
          Thessaloniki [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300055
        </catValu>
        <labl>
          Kavala [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300056
        </catValu>
        <labl>
          Kastoria [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300057
        </catValu>
        <labl>
          Kilkis [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300058
        </catValu>
        <labl>
          Kozani [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300059
        </catValu>
        <labl>
          Pella [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300061
        </catValu>
        <labl>
          Pieria [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300062
        </catValu>
        <labl>
          Serres [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300063
        </catValu>
        <labl>
          Florina [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300064
        </catValu>
        <labl>
          Chalkidiki and Aghion Oros [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300071
        </catValu>
        <labl>
          Evros [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300072
        </catValu>
        <labl>
          Xanthi [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300073
        </catValu>
        <labl>
          Rodopi [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300081
        </catValu>
        <labl>
          Dodekanissos [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300082
        </catValu>
        <labl>
          Kyklades [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300083
        </catValu>
        <labl>
          Lesvos [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300084
        </catValu>
        <labl>
          Samos [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300085
        </catValu>
        <labl>
          Chios [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300091
        </catValu>
        <labl>
          Iraklio [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300092
        </catValu>
        <labl>
          Lassithi [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300093
        </catValu>
        <labl>
          Rethymno [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300094
        </catValu>
        <labl>
          Chania [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300101
        </catValu>
        <labl>
          Prefecture of Athens [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300102
        </catValu>
        <labl>
          Prefecture of East Attiki [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300103
        </catValu>
        <labl>
          Prefecture of West Attiki [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300104
        </catValu>
        <labl>
          Prefecture of Pireas [Department: Greece]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324001
        </catValu>
        <labl>
          Boké [Region: Guinea]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324002
        </catValu>
        <labl>
          Faranah [Region: Guinea]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324003
        </catValu>
        <labl>
          Kankan [Region: Guinea]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324004
        </catValu>
        <labl>
          Kindia, Labe, Mamou [Region: Guinea]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324007
        </catValu>
        <labl>
          N'zerekore [Region: Guinea]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324008
        </catValu>
        <labl>
          Conakry [Region: Guinea]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332003
        </catValu>
        <labl>
          Nord (North) and Nord'est (North East) [Department: Haiti]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332006
        </catValu>
        <labl>
          Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332007
        </catValu>
        <labl>
          Grand'Anse, Nippes, Sud (South) [Department: Haiti]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332009
        </catValu>
        <labl>
          Nord'Ouest (North West) [Department: Haiti]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356001
        </catValu>
        <labl>
          Jammu and Kashmir [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356002
        </catValu>
        <labl>
          Himachal Pradesh [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356003
        </catValu>
        <labl>
          Punjab [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356004
        </catValu>
        <labl>
          Chandigarh [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356006
        </catValu>
        <labl>
          Haryana [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356007
        </catValu>
        <labl>
          Delhi [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356008
        </catValu>
        <labl>
          Rajasthan [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356009
        </catValu>
        <labl>
          Uttar Pradesh and Uttaranchal [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356010
        </catValu>
        <labl>
          Bihar and Jharkhand [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356011
        </catValu>
        <labl>
          Sikkim [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356012
        </catValu>
        <labl>
          Arunachal Pradesh [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356013
        </catValu>
        <labl>
          Nagaland [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356014
        </catValu>
        <labl>
          Manipur [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356015
        </catValu>
        <labl>
          Mizoram [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356016
        </catValu>
        <labl>
          Tripura [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356017
        </catValu>
        <labl>
          Meghalaya [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356018
        </catValu>
        <labl>
          Assam [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356019
        </catValu>
        <labl>
          West Bengal [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356021
        </catValu>
        <labl>
          Orissa [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356023
        </catValu>
        <labl>
          Chhattisgarh and Madhya Pradesh [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356024
        </catValu>
        <labl>
          Gujarat [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356026
        </catValu>
        <labl>
          Dadra and Nagar Haveli [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356027
        </catValu>
        <labl>
          Maharashtra [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356028
        </catValu>
        <labl>
          Andhra Pradesh [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356029
        </catValu>
        <labl>
          Karnataka [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356030
        </catValu>
        <labl>
          Daman and Diu and Goa [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356031
        </catValu>
        <labl>
          Lakshadweep [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356032
        </catValu>
        <labl>
          Kerala [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356033
        </catValu>
        <labl>
          Tamil Nadu [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356034
        </catValu>
        <labl>
          Pondicherry [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356035
        </catValu>
        <labl>
          Andaman and Nicobar Islands [State: India]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360011
        </catValu>
        <labl>
          Nanggroe Aceh Darussalam [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360012
        </catValu>
        <labl>
          Sumatera Utara [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360013
        </catValu>
        <labl>
          Sumatera Barat [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360014
        </catValu>
        <labl>
          Riau and Kepulauan Riau [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360015
        </catValu>
        <labl>
          Jambi [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360016
        </catValu>
        <labl>
          Sumatera Selatan and Bangka Belitung [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360017
        </catValu>
        <labl>
          Bengkulu [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360018
        </catValu>
        <labl>
          Lampung [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360031
        </catValu>
        <labl>
          DKI Jakarta [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360032
        </catValu>
        <labl>
          West Java and Banten [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360033
        </catValu>
        <labl>
          Jawa Tengah [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360034
        </catValu>
        <labl>
          DI Yogyakarta [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360035
        </catValu>
        <labl>
          Jawa Timur [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360051
        </catValu>
        <labl>
          Bali [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360052
        </catValu>
        <labl>
          Nusa Tenggara Barat [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360053
        </catValu>
        <labl>
          East Nusa Tenggara [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360061
        </catValu>
        <labl>
          Kalimantan Barat [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360062
        </catValu>
        <labl>
          Kalimantan Tengah [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360063
        </catValu>
        <labl>
          Kalimantan Selatan [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360064
        </catValu>
        <labl>
          Kalimantan Timur [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360071
        </catValu>
        <labl>
          Sulawesi Utara and Gorontalo [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360072
        </catValu>
        <labl>
          Sulawesi Tengah [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360073
        </catValu>
        <labl>
          Sulawesi Selatan, Sulawesi Tenggara and Sulawesi Barat [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360081
        </catValu>
        <labl>
          Maluku and Maluku Utara [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360094
        </catValu>
        <labl>
          Papua and Papua Barat [Province: Indonesia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364000
        </catValu>
        <labl>
          Markazi [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364001
        </catValu>
        <labl>
          Gilan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364002
        </catValu>
        <labl>
          Mazandaran [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364003
        </catValu>
        <labl>
          East Azarbayejan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364004
        </catValu>
        <labl>
          West Azarbayejan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364005
        </catValu>
        <labl>
          Kermanshah [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364006
        </catValu>
        <labl>
          Khuzestan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364007
        </catValu>
        <labl>
          Fars [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364008
        </catValu>
        <labl>
          Kerman [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364009
        </catValu>
        <labl>
          Khorasan-e- Razavi [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364010
        </catValu>
        <labl>
          Esfahan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364011
        </catValu>
        <labl>
          Sistan and Baluchestan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364012
        </catValu>
        <labl>
          Kordestan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364013
        </catValu>
        <labl>
          Hamedan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364014
        </catValu>
        <labl>
          Chaharmahal and Bakhtiyari [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364015
        </catValu>
        <labl>
          Lorestan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364016
        </catValu>
        <labl>
          Ilam [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364017
        </catValu>
        <labl>
          Kohgiluyeh and Boyerahmad [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364018
        </catValu>
        <labl>
          Bushehr [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364019
        </catValu>
        <labl>
          Zanjan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364020
        </catValu>
        <labl>
          Semnan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364021
        </catValu>
        <labl>
          Yazd [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364022
        </catValu>
        <labl>
          Hormozgan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364023
        </catValu>
        <labl>
          Tehran [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364024
        </catValu>
        <labl>
          Ardebil [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364025
        </catValu>
        <labl>
          Qom [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364026
        </catValu>
        <labl>
          Qazvin [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364027
        </catValu>
        <labl>
          Golestan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364028
        </catValu>
        <labl>
          North Khorasan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364029
        </catValu>
        <labl>
          South Khorasan [Province: Iran]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368011
        </catValu>
        <labl>
          Dhok [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368012
        </catValu>
        <labl>
          Nineveh [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368013
        </catValu>
        <labl>
          Al-Sulaimaniya [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368014
        </catValu>
        <labl>
          Al-Tameem [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368015
        </catValu>
        <labl>
          Arbil [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368021
        </catValu>
        <labl>
          Diala [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368022
        </catValu>
        <labl>
          Al-Anbar [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368023
        </catValu>
        <labl>
          Baghdad [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368024
        </catValu>
        <labl>
          Babylon [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368025
        </catValu>
        <labl>
          Kerbela [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368026
        </catValu>
        <labl>
          Wasit [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368027
        </catValu>
        <labl>
          Salah Al-Deen [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368028
        </catValu>
        <labl>
          Al-Najaf [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368031
        </catValu>
        <labl>
          Al-Qadisiya [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368032
        </catValu>
        <labl>
          Al-Muthanna [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368033
        </catValu>
        <labl>
          Thi-Qar [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368034
        </catValu>
        <labl>
          Maysan [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368035
        </catValu>
        <labl>
          Al-Basrah [Governorate: Iraq]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372001
        </catValu>
        <labl>
          Border [Region: Ireland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372002
        </catValu>
        <labl>
          Dublin [Region: Ireland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372003
        </catValu>
        <labl>
          Mid-East [Region: Ireland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372004
        </catValu>
        <labl>
          Midlands [Region: Ireland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372005
        </catValu>
        <labl>
          Mid-West [Region: Ireland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372006
        </catValu>
        <labl>
          South-East [Region: Ireland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372007
        </catValu>
        <labl>
          South-West [Region: Ireland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372008
        </catValu>
        <labl>
          West [Region: Ireland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376001
        </catValu>
        <labl>
          Jerusalem [District: Israel]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376002
        </catValu>
        <labl>
          Northern [District: Israel]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376003
        </catValu>
        <labl>
          Haifa [District: Israel]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376004
        </catValu>
        <labl>
          Central [District: Israel]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376005
        </catValu>
        <labl>
          Tel-Aviv [District: Israel]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376006
        </catValu>
        <labl>
          Southern [District: Israel]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376009
        </catValu>
        <labl>
          Judea, Samaria, and Gaza areas [District: Israel]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380001
        </catValu>
        <labl>
          Piemonte-Valle d'Aosta [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380003
        </catValu>
        <labl>
          Lombardia [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380004
        </catValu>
        <labl>
          Trentino-Alto Adige [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380005
        </catValu>
        <labl>
          Veneto [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380006
        </catValu>
        <labl>
          Friuli-Venezia Giulia [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380007
        </catValu>
        <labl>
          Liguria [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380008
        </catValu>
        <labl>
          Emilia-Romagna [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380009
        </catValu>
        <labl>
          Toscana [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380010
        </catValu>
        <labl>
          Umbria [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380011
        </catValu>
        <labl>
          Marche [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380012
        </catValu>
        <labl>
          Lazio [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380013
        </catValu>
        <labl>
          Abruzzo [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380014
        </catValu>
        <labl>
          Molise [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380015
        </catValu>
        <labl>
          Campania [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380016
        </catValu>
        <labl>
          Puglia [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380017
        </catValu>
        <labl>
          Basilicata [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380018
        </catValu>
        <labl>
          Calabria [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380019
        </catValu>
        <labl>
          Sicilia [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380020
        </catValu>
        <labl>
          Sardegna [Region: Italy]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388001
        </catValu>
        <labl>
          Kingston [Parish: Jamaica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388002
        </catValu>
        <labl>
          Saint Andrew [Parish: Jamaica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388003
        </catValu>
        <labl>
          Saint Thomas [Parish: Jamaica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388004
        </catValu>
        <labl>
          Portland [Parish: Jamaica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388005
        </catValu>
        <labl>
          Saint Mary [Parish: Jamaica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388006
        </catValu>
        <labl>
          Saint Ann [Parish: Jamaica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388007
        </catValu>
        <labl>
          Trelawny [Parish: Jamaica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388008
        </catValu>
        <labl>
          Saint James [Parish: Jamaica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388009
        </catValu>
        <labl>
          Hanover [Parish: Jamaica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388010
        </catValu>
        <labl>
          Westmoreland [Parish: Jamaica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388011
        </catValu>
        <labl>
          Saint Elizabeth [Parish: Jamaica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388012
        </catValu>
        <labl>
          Manchester [Parish: Jamaica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388013
        </catValu>
        <labl>
          Clarendon [Parish: Jamaica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388014
        </catValu>
        <labl>
          Saint Catherine [Parish: Jamaica]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400011
        </catValu>
        <labl>
          Amman [Governorate: Jordan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400012
        </catValu>
        <labl>
          Balqa [Governorate: Jordan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400013
        </catValu>
        <labl>
          Zarqa [Governorate: Jordan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400014
        </catValu>
        <labl>
          Madaba [Governorate: Jordan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400021
        </catValu>
        <labl>
          Irbid [Governorate: Jordan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400022
        </catValu>
        <labl>
          Mafraq [Governorate: Jordan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400023
        </catValu>
        <labl>
          Jarash [Governorate: Jordan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400024
        </catValu>
        <labl>
          Ajlun [Governorate: Jordan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400031
        </catValu>
        <labl>
          Karak [Governorate: Jordan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400032
        </catValu>
        <labl>
          Tafilah [Governorate: Jordan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400033
        </catValu>
        <labl>
          Ma'an [Governorate: Jordan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400034
        </catValu>
        <labl>
          Aqaba [Governorate: Jordan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404001
        </catValu>
        <labl>
          Nairobi [Province: Kenya]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404002
        </catValu>
        <labl>
          Central Province [Province: Kenya]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404003
        </catValu>
        <labl>
          Coast Province [Province: Kenya]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404004
        </catValu>
        <labl>
          Eastern Province [Province: Kenya]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404005
        </catValu>
        <labl>
          North-Eastern Province [Province: Kenya]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404006
        </catValu>
        <labl>
          Nyanza Province [Province: Kenya]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404007
        </catValu>
        <labl>
          Rift Valley Province [Province: Kenya]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404008
        </catValu>
        <labl>
          Western Province [Province: Kenya]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417001
        </catValu>
        <labl>
          Gorkenesh Bishkek [Region: Kyrgyz Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417002
        </catValu>
        <labl>
          Issyk-Kul [Region: Kyrgyz Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417003
        </catValu>
        <labl>
          Dzhalal-Abad [Region: Kyrgyz Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417004
        </catValu>
        <labl>
          Naryn [Region: Kyrgyz Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417005
        </catValu>
        <labl>
          Batken [Region: Kyrgyz Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417006
        </catValu>
        <labl>
          Oshskaya [Region: Kyrgyz Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417007
        </catValu>
        <labl>
          Talasskaya [Region: Kyrgyz Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417008
        </catValu>
        <labl>
          Chuya [Region: Kyrgyz Republic]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430006
        </catValu>
        <labl>
          Bong [County: Liberia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430009
        </catValu>
        <labl>
          Grand Bassa and Rivercess [County: Liberia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430012
        </catValu>
        <labl>
          Grand Cape Mount [County: Liberia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430015
        </catValu>
        <labl>
          Grand Gedeh and River Gee [County: Liberia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430021
        </catValu>
        <labl>
          Lofa and Gbarpolu [County: Liberia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430027
        </catValu>
        <labl>
          Maryland and Grand Kru [County: Liberia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430030
        </catValu>
        <labl>
          Montserrado, Bomi, and Margibi [County: Liberia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430033
        </catValu>
        <labl>
          Nimba [County: Liberia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430039
        </catValu>
        <labl>
          Sinoe [County: Liberia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454101
        </catValu>
        <labl>
          Chitipa [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454102
        </catValu>
        <labl>
          Karonga [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454103
        </catValu>
        <labl>
          Nkhata Bay, Likoma [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454104
        </catValu>
        <labl>
          Rumphi [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454105
        </catValu>
        <labl>
          Mzimba, Mzuzu city [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454201
        </catValu>
        <labl>
          Kasungu [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454202
        </catValu>
        <labl>
          Nkhota Kota [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454203
        </catValu>
        <labl>
          Ntchisi [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454204
        </catValu>
        <labl>
          Dowa [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454205
        </catValu>
        <labl>
          Salima [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454206
        </catValu>
        <labl>
          Lilongwe [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454207
        </catValu>
        <labl>
          Mchinji [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454208
        </catValu>
        <labl>
          Dedza [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454209
        </catValu>
        <labl>
          Ntcheu [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454301
        </catValu>
        <labl>
          Mangochi [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454302
        </catValu>
        <labl>
          Machinga [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454303
        </catValu>
        <labl>
          Zomba [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454304
        </catValu>
        <labl>
          Chiradzulu [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454305
        </catValu>
        <labl>
          Blantyre [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454307
        </catValu>
        <labl>
          Thyolo [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454308
        </catValu>
        <labl>
          Mulanje [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454310
        </catValu>
        <labl>
          Chikwawa [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454311
        </catValu>
        <labl>
          Nsanje [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454313
        </catValu>
        <labl>
          Mwanza, Neno [District: Malawi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458001
        </catValu>
        <labl>
          Johor [State: Malaysia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458002
        </catValu>
        <labl>
          Kedah [State: Malaysia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458003
        </catValu>
        <labl>
          Kelantan [State: Malaysia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458004
        </catValu>
        <labl>
          Melaka [State: Malaysia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458005
        </catValu>
        <labl>
          Negeri Sembilan [State: Malaysia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458006
        </catValu>
        <labl>
          Pahang [State: Malaysia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458007
        </catValu>
        <labl>
          Pulau Pinang [State: Malaysia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458008
        </catValu>
        <labl>
          Perak [State: Malaysia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458009
        </catValu>
        <labl>
          Perlis [State: Malaysia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458010
        </catValu>
        <labl>
          Selangor and Kuala Lumpur Federal Territory [State: Malaysia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458011
        </catValu>
        <labl>
          Terengganu [State: Malaysia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458012
        </catValu>
        <labl>
          Sabah and Labuan Federal Territory [State: Malaysia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458013
        </catValu>
        <labl>
          Sarawak [State: Malaysia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466001
        </catValu>
        <labl>
          Kayes [Region: Mali]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466002
        </catValu>
        <labl>
          Koulikoro [Region: Mali]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466003
        </catValu>
        <labl>
          Sikasso [Region: Mali]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466004
        </catValu>
        <labl>
          Ségou [Region: Mali]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466005
        </catValu>
        <labl>
          Mopti [Region: Mali]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466006
        </catValu>
        <labl>
          Tombouctou [Region: Mali]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466007
        </catValu>
        <labl>
          Gao and Kidal [Region: Mali]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466009
        </catValu>
        <labl>
          Bamako [Region: Mali]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466099
        </catValu>
        <labl>
          Unknown [Region: Mali]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484001
        </catValu>
        <labl>
          Aguascalientes [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484002
        </catValu>
        <labl>
          Baja California [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484003
        </catValu>
        <labl>
          Baja California Sur [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484004
        </catValu>
        <labl>
          Campeche [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484005
        </catValu>
        <labl>
          Coahuila [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484006
        </catValu>
        <labl>
          Colima [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484007
        </catValu>
        <labl>
          Chiapas [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484008
        </catValu>
        <labl>
          Chihuahua [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484009
        </catValu>
        <labl>
          Distrito Federal [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484010
        </catValu>
        <labl>
          Durango [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484011
        </catValu>
        <labl>
          Guanajuato [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484012
        </catValu>
        <labl>
          Guerrero [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484013
        </catValu>
        <labl>
          Hidalgo [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484014
        </catValu>
        <labl>
          Jalisco [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484015
        </catValu>
        <labl>
          México [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484016
        </catValu>
        <labl>
          Michoacán [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484017
        </catValu>
        <labl>
          Morelos [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484018
        </catValu>
        <labl>
          Nayarit [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484019
        </catValu>
        <labl>
          Nuevo León [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484020
        </catValu>
        <labl>
          Oaxaca [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484021
        </catValu>
        <labl>
          Puebla [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484022
        </catValu>
        <labl>
          Querétaro [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484023
        </catValu>
        <labl>
          Quintana Roo [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484024
        </catValu>
        <labl>
          San Luis Potosí [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484025
        </catValu>
        <labl>
          Sinaloa [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484026
        </catValu>
        <labl>
          Sonora [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484027
        </catValu>
        <labl>
          Tabasco [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484028
        </catValu>
        <labl>
          Tamaulipas [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484029
        </catValu>
        <labl>
          Tlaxcala [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484030
        </catValu>
        <labl>
          Veracruz [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484031
        </catValu>
        <labl>
          Yucatán [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484032
        </catValu>
        <labl>
          Zacatecas [State: Meico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496001
        </catValu>
        <labl>
          Arkhangai [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496002
        </catValu>
        <labl>
          Bayan-Ölgii [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496003
        </catValu>
        <labl>
          Bayankhongor [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496004
        </catValu>
        <labl>
          Bulgan [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496005
        </catValu>
        <labl>
          Govi-Altai [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496006
        </catValu>
        <labl>
          Dornogovi [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496007
        </catValu>
        <labl>
          Dornod [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496008
        </catValu>
        <labl>
          Dundgovi and Govisumber [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496009
        </catValu>
        <labl>
          Zavkhan [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496010
        </catValu>
        <labl>
          Övörkhangai [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496011
        </catValu>
        <labl>
          Ömnögovi [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496012
        </catValu>
        <labl>
          Sükhbaatar [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496013
        </catValu>
        <labl>
          Selenge [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496014
        </catValu>
        <labl>
          Töv [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496015
        </catValu>
        <labl>
          Uvs [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496016
        </catValu>
        <labl>
          Khovd [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496017
        </catValu>
        <labl>
          Khövsgöl [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496018
        </catValu>
        <labl>
          Khentii [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496019
        </catValu>
        <labl>
          Darkhan-Uul [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496020
        </catValu>
        <labl>
          Ulaanbaatar [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496021
        </catValu>
        <labl>
          Orkhon [Province: Mongolia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504001
        </catValu>
        <labl>
          Oued-Ed-Dahab-Lagouira [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504002
        </catValu>
        <labl>
          Laâyoune-Boujdour-Sakia El Hamra [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504003
        </catValu>
        <labl>
          Guelmin-Es-Samara [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504004
        </catValu>
        <labl>
          Souss-Massa-Draâ [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504005
        </catValu>
        <labl>
          Charb-Chrarda-Béni Hssen [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504006
        </catValu>
        <labl>
          Chaouia-Ouardigha [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504007
        </catValu>
        <labl>
          Marrakech-Tensift-Al Haouz [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504008
        </catValu>
        <labl>
          Oriental [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504009
        </catValu>
        <labl>
          Grand-Casablanca [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504010
        </catValu>
        <labl>
          Rabat-Salé-Zemmour-Zaer [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504011
        </catValu>
        <labl>
          Doukala Abda [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504012
        </catValu>
        <labl>
          Tadla Azilal [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504013
        </catValu>
        <labl>
          Meknès-Tafilalet [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504014
        </catValu>
        <labl>
          Fès-Boulemane [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504015
        </catValu>
        <labl>
          Taza-Al Heiceima-Taounate [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504016
        </catValu>
        <labl>
          Tanger-Tétouan [Region: Morocco]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508001
        </catValu>
        <labl>
          Niassa [Province: Mozambique]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508002
        </catValu>
        <labl>
          Cabo Delgado [Province: Mozambique]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508003
        </catValu>
        <labl>
          Nampula [Province: Mozambique]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508004
        </catValu>
        <labl>
          Zambézia [Province: Mozambique]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508005
        </catValu>
        <labl>
          Tete [Province: Mozambique]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508006
        </catValu>
        <labl>
          Manica [Province: Mozambique]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508007
        </catValu>
        <labl>
          Sofala [Province: Mozambique]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508008
        </catValu>
        <labl>
          Inhambane [Province: Mozambique]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508009
        </catValu>
        <labl>
          Gaza [Province: Mozambique]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508010
        </catValu>
        <labl>
          Maputo province [Province: Mozambique]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508011
        </catValu>
        <labl>
          Maputo city [Province: Mozambique]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524001
        </catValu>
        <labl>
          Mechi [Administrative zone: Nepal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524002
        </catValu>
        <labl>
          Koshi [Administrative zone: Nepal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524003
        </catValu>
        <labl>
          Sagarmatha [Administrative zone: Nepal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524004
        </catValu>
        <labl>
          Janakpur [Administrative zone: Nepal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524005
        </catValu>
        <labl>
          Bagmati [Administrative zone: Nepal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524006
        </catValu>
        <labl>
          Narayani [Administrative zone: Nepal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524007
        </catValu>
        <labl>
          Gandaki [Administrative zone: Nepal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524008
        </catValu>
        <labl>
          Dhawalagiri [Administrative zone: Nepal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524009
        </catValu>
        <labl>
          Lumbini [Administrative zone: Nepal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524010
        </catValu>
        <labl>
          Rapti [Administrative zone: Nepal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524011
        </catValu>
        <labl>
          Bheri [Administrative zone: Nepal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524012
        </catValu>
        <labl>
          Karnali [Administrative zone: Nepal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524013
        </catValu>
        <labl>
          Seti [Administrative zone: Nepal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524014
        </catValu>
        <labl>
          Mahakali [Administrative zone: Nepal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558005
        </catValu>
        <labl>
          Nueva Segovia [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558010
        </catValu>
        <labl>
          Jinotega [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558020
        </catValu>
        <labl>
          Madríz [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558030
        </catValu>
        <labl>
          Chinandega [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558035
        </catValu>
        <labl>
          Leon and Esteli [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558040
        </catValu>
        <labl>
          Matagalpa [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558050
        </catValu>
        <labl>
          Boaco [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558055
        </catValu>
        <labl>
          Managua [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558060
        </catValu>
        <labl>
          Masaya [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558065
        </catValu>
        <labl>
          Chontales [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558070
        </catValu>
        <labl>
          Granada [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558075
        </catValu>
        <labl>
          Carazo [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558080
        </catValu>
        <labl>
          Rivas [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558085
        </catValu>
        <labl>
          Río San Juan [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558093
        </catValu>
        <labl>
          Atlántico Norte and Atlántico Sur [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558099
        </catValu>
        <labl>
          Unknown [Department: Nicaragua]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566001
        </catValu>
        <labl>
          Abia [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566002
        </catValu>
        <labl>
          Adamawa [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566003
        </catValu>
        <labl>
          Akwa Ibom [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566004
        </catValu>
        <labl>
          Anambra [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566005
        </catValu>
        <labl>
          Bauchi [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566006
        </catValu>
        <labl>
          Bayelsa [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566007
        </catValu>
        <labl>
          Benue [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566008
        </catValu>
        <labl>
          Borno [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566009
        </catValu>
        <labl>
          Cross River [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566010
        </catValu>
        <labl>
          Delta [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566011
        </catValu>
        <labl>
          Ebonyi [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566012
        </catValu>
        <labl>
          Edo [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566013
        </catValu>
        <labl>
          Ekiti [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566014
        </catValu>
        <labl>
          Enugu [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566015
        </catValu>
        <labl>
          Gombe [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566016
        </catValu>
        <labl>
          Imo [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566017
        </catValu>
        <labl>
          Jigawa [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566018
        </catValu>
        <labl>
          Kaduna [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566019
        </catValu>
        <labl>
          Kano [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566020
        </catValu>
        <labl>
          Katsina [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566021
        </catValu>
        <labl>
          Kebbi [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566022
        </catValu>
        <labl>
          Kogi [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566023
        </catValu>
        <labl>
          Kwara [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566024
        </catValu>
        <labl>
          Lagos [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566025
        </catValu>
        <labl>
          Nasarawa [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566026
        </catValu>
        <labl>
          Niger [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566027
        </catValu>
        <labl>
          Ogun [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566028
        </catValu>
        <labl>
          Ondo [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566029
        </catValu>
        <labl>
          Osun [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566030
        </catValu>
        <labl>
          Oyo [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566031
        </catValu>
        <labl>
          Plateau [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566032
        </catValu>
        <labl>
          Rivers [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566033
        </catValu>
        <labl>
          Sokoto [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566034
        </catValu>
        <labl>
          Taraba [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566035
        </catValu>
        <labl>
          Yobe [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566036
        </catValu>
        <labl>
          Zamfara [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566037
        </catValu>
        <labl>
          Federal Capital Territory Abuja [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566099
        </catValu>
        <labl>
          Unknown [State: Nigeria]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586001
        </catValu>
        <labl>
          North-West Frontier Province [Province: Pakistan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586002
        </catValu>
        <labl>
          Fata [Province: Pakistan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586003
        </catValu>
        <labl>
          Punjab, Islamabad [Province: Pakistan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586004
        </catValu>
        <labl>
          Sind [Province: Pakistan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586005
        </catValu>
        <labl>
          Baluchistan [Province: Pakistan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586007
        </catValu>
        <labl>
          Northern areas [Province: Pakistan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586008
        </catValu>
        <labl>
          Kashmir [Province: Pakistan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591002
        </catValu>
        <labl>
          Coclé [Province: Panama]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591003
        </catValu>
        <labl>
          Colón, Comarca Kuna Yala (San Blas) [Province: Panama]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591004
        </catValu>
        <labl>
          Bocas de Toro, Chiriquí, Comarca Ngäbe Buglé, Veraguas [Province: Panama]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591005
        </catValu>
        <labl>
          Comarca Emberá, Darién [Province: Panama]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591006
        </catValu>
        <labl>
          Herrera [Province: Panama]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591007
        </catValu>
        <labl>
          Los Santos [Province: Panama]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591008
        </catValu>
        <labl>
          Panamá [Province: Panama]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600000
        </catValu>
        <labl>
          Asunción [Department: Paraguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600001
        </catValu>
        <labl>
          Concepción [Department: Paraguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600002
        </catValu>
        <labl>
          San Pedro [Department: Paraguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600007
        </catValu>
        <labl>
          Itapúa [Department: Paraguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600008
        </catValu>
        <labl>
          Misiones and Ñeembucú [Department: Paraguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600009
        </catValu>
        <labl>
          Guairá, Caazapá, and Paraguarí [Department: Paraguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600010
        </catValu>
        <labl>
          Cordillera, Caaguazú, Alto Paraná, and Canindeyú [Department: Paraguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600011
        </catValu>
        <labl>
          Central [Department: Paraguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600013
        </catValu>
        <labl>
          Amambay [Department: Paraguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600015
        </catValu>
        <labl>
          Presidente Hayes, Boqueron, and Alto Paraguay [Department: Paraguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600099
        </catValu>
        <labl>
          Unknown [Department: Paraguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604001
        </catValu>
        <labl>
          Amazonas [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604002
        </catValu>
        <labl>
          Ancash [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604003
        </catValu>
        <labl>
          Apurímac [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604004
        </catValu>
        <labl>
          Arequipa [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604005
        </catValu>
        <labl>
          Ayacucho [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604006
        </catValu>
        <labl>
          Cajamarca [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604007
        </catValu>
        <labl>
          Callao [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604008
        </catValu>
        <labl>
          Cusco [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604009
        </catValu>
        <labl>
          Huancavelica [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604010
        </catValu>
        <labl>
          Huánuco [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604011
        </catValu>
        <labl>
          Ica [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604012
        </catValu>
        <labl>
          Junín [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604013
        </catValu>
        <labl>
          La Libertad [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604014
        </catValu>
        <labl>
          Lambayeque [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604015
        </catValu>
        <labl>
          Lima [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604016
        </catValu>
        <labl>
          Loreto [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604017
        </catValu>
        <labl>
          Madre de Dios [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604018
        </catValu>
        <labl>
          Moquegua [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604019
        </catValu>
        <labl>
          Pasco [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604020
        </catValu>
        <labl>
          Piura [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604021
        </catValu>
        <labl>
          Puno [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604022
        </catValu>
        <labl>
          San Martín [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604023
        </catValu>
        <labl>
          Tacna [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604024
        </catValu>
        <labl>
          Tumbes [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604025
        </catValu>
        <labl>
          Ucayali [Region: Peru]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608001
        </catValu>
        <labl>
          Ilocos [Region: Philippines]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608002
        </catValu>
        <labl>
          Cagayan Valley [Region: Philippines]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608003
        </catValu>
        <labl>
          Central Luzon [Region: Philippines]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608004
        </catValu>
        <labl>
          Southern Tagalog [Region: Philippines]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608005
        </catValu>
        <labl>
          Bicol [Region: Philippines]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608006
        </catValu>
        <labl>
          Western Visayas [Region: Philippines]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608007
        </catValu>
        <labl>
          Central Visayas [Region: Philippines]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608008
        </catValu>
        <labl>
          Eastern Visayas [Region: Philippines]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608009
        </catValu>
        <labl>
          Western Mindanao [Region: Philippines]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608011
        </catValu>
        <labl>
          Northern Mindanao, Southern Mindanao, and Caraga [Region: Philippines]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608012
        </catValu>
        <labl>
          Central Mindanao and Autonomous Region of Muslim Mindanao [Region: Philippines]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608013
        </catValu>
        <labl>
          National Capital Region [Region: Philippines]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608014
        </catValu>
        <labl>
          Cordillera Administrative Region [Region: Philippines]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620111
        </catValu>
        <labl>
          Minho-Lima [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620112
        </catValu>
        <labl>
          Cávado [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620113
        </catValu>
        <labl>
          Ave [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620114
        </catValu>
        <labl>
          Grande Porto [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620115
        </catValu>
        <labl>
          Tâmega [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620116
        </catValu>
        <labl>
          Entre Douro e Vouga [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620117
        </catValu>
        <labl>
          Douro [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620118
        </catValu>
        <labl>
          Alto Trás-os-Montes [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620150
        </catValu>
        <labl>
          Algarve [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620161
        </catValu>
        <labl>
          Baixo Vouga [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620162
        </catValu>
        <labl>
          Baixo Mondego [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620163
        </catValu>
        <labl>
          Pinhal Litoral [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620165
        </catValu>
        <labl>
          Dão-Lafões [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620166
        </catValu>
        <labl>
          Oeste [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620167
        </catValu>
        <labl>
          Médio Tejo [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620169
        </catValu>
        <labl>
          Other Center [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620171
        </catValu>
        <labl>
          Grande Lisboa [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620172
        </catValu>
        <labl>
          Península de Setúbal [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620185
        </catValu>
        <labl>
          Lezíria do Tejo [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620189
        </catValu>
        <labl>
          Other Alentejo [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620200
        </catValu>
        <labl>
          Região Autónoma dos Açores [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620300
        </catValu>
        <labl>
          Região Autónoma da Madeira [Subregion: Portugal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630101
        </catValu>
        <labl>
          G7201001 [PUMA: Puerto Rico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630104
        </catValu>
        <labl>
          G7201002, G7201003, G7201004 [PUMA: Puerto Rico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630110
        </catValu>
        <labl>
          G7201100 [PUMA: Puerto Rico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630180
        </catValu>
        <labl>
          G7201800 [PUMA: Puerto Rico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630200
        </catValu>
        <labl>
          G7200100, G7200200, G7200300, G7200400, G7200500, G72000700, G7201200, G7201300, G7201400, G7201500, G7201600, G7201700, G7201900, G7202000, G7202100, G7202200, G7202300, G7202400, G7202600, G7200600, G7200801, G7200802, G7200900 [PUMA: Puerto Rico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630250
        </catValu>
        <labl>
          G7202500 [PUMA: Puerto Rico]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642001
        </catValu>
        <labl>
          Alba [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642002
        </catValu>
        <labl>
          Arad [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642003
        </catValu>
        <labl>
          Arges [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642004
        </catValu>
        <labl>
          Bacau [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642005
        </catValu>
        <labl>
          Bihor [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642006
        </catValu>
        <labl>
          Bistrita Nasaud [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642007
        </catValu>
        <labl>
          Botosani [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642008
        </catValu>
        <labl>
          Brasov [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642009
        </catValu>
        <labl>
          Braila [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642010
        </catValu>
        <labl>
          Buzau [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642011
        </catValu>
        <labl>
          Caras Severin [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642012
        </catValu>
        <labl>
          Cluj [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642013
        </catValu>
        <labl>
          Constanta [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642014
        </catValu>
        <labl>
          Covasna [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642015
        </catValu>
        <labl>
          Dimbovita [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642016
        </catValu>
        <labl>
          Dolj [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642017
        </catValu>
        <labl>
          Galati [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642018
        </catValu>
        <labl>
          Gorj [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642019
        </catValu>
        <labl>
          Harghita [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642020
        </catValu>
        <labl>
          Hunedoara [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642022
        </catValu>
        <labl>
          Iasi [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642024
        </catValu>
        <labl>
          Maramures [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642025
        </catValu>
        <labl>
          Mehedinti [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642026
        </catValu>
        <labl>
          Mures [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642027
        </catValu>
        <labl>
          Neamt [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642028
        </catValu>
        <labl>
          Olt [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642029
        </catValu>
        <labl>
          Prahova [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642030
        </catValu>
        <labl>
          Satu Mare [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642031
        </catValu>
        <labl>
          Salaj [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642032
        </catValu>
        <labl>
          Sibiu [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642033
        </catValu>
        <labl>
          Suceava [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642034
        </catValu>
        <labl>
          Teleorman [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642035
        </catValu>
        <labl>
          Timis [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642036
        </catValu>
        <labl>
          Tulcea [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642037
        </catValu>
        <labl>
          Vaslui [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642038
        </catValu>
        <labl>
          Valcea [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642039
        </catValu>
        <labl>
          Vrancea [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642043
        </catValu>
        <labl>
          Bucharest Sector 1 to 6 [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642051
        </catValu>
        <labl>
          Calarasi, Giurgiu, Ialomita, Ilfov [County: Romania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646001
        </catValu>
        <labl>
          Kigali City [Province: Rwanda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646002
        </catValu>
        <labl>
          Kigali Ngali [Province: Rwanda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646004
        </catValu>
        <labl>
          Gitarama [Province: Rwanda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646005
        </catValu>
        <labl>
          Butare [Province: Rwanda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646006
        </catValu>
        <labl>
          Gikongoro [Province: Rwanda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646007
        </catValu>
        <labl>
          Cyangugu [Province: Rwanda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646008
        </catValu>
        <labl>
          Kibuye [Province: Rwanda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646009
        </catValu>
        <labl>
          Gisenyi [Province: Rwanda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646010
        </catValu>
        <labl>
          Ruhengeri [Province: Rwanda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646012
        </catValu>
        <labl>
          Byumba, Kibungo and Umutara [Province: Rwanda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686001
        </catValu>
        <labl>
          Dakar [Region: Senegal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686002
        </catValu>
        <labl>
          Diourbel [Region: Senegal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686003
        </catValu>
        <labl>
          Fatick [Region: Senegal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686004
        </catValu>
        <labl>
          Kaolack [Region: Senegal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686005
        </catValu>
        <labl>
          Kolda [Region: Senegal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686008
        </catValu>
        <labl>
          Louga, Saint Louis, Matam [Region: Senegal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686009
        </catValu>
        <labl>
          Tambacounda [Region: Senegal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686010
        </catValu>
        <labl>
          Thiès [Region: Senegal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686011
        </catValu>
        <labl>
          Ziguinchor [Region: Senegal]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694011
        </catValu>
        <labl>
          Kailahun [District: Sierra Leone]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694012
        </catValu>
        <labl>
          Kenema [District: Sierra Leone]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694013
        </catValu>
        <labl>
          Kono [District: Sierra Leone]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694021
        </catValu>
        <labl>
          Bombali [District: Sierra Leone]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694022
        </catValu>
        <labl>
          Kambia [District: Sierra Leone]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694023
        </catValu>
        <labl>
          Koinadugu [District: Sierra Leone]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694024
        </catValu>
        <labl>
          Port Loko [District: Sierra Leone]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694025
        </catValu>
        <labl>
          Tonkolili [District: Sierra Leone]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694031
        </catValu>
        <labl>
          Bo [District: Sierra Leone]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694032
        </catValu>
        <labl>
          Bonthe [District: Sierra Leone]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694033
        </catValu>
        <labl>
          Moyamba [District: Sierra Leone]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694034
        </catValu>
        <labl>
          Pujehun [District: Sierra Leone]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694041
        </catValu>
        <labl>
          Western - rural [District: Sierra Leone]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694042
        </catValu>
        <labl>
          Western - urban [District: Sierra Leone]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704001
        </catValu>
        <labl>
          Ninh Binh, Hoa Binh, Ha Noi, Phu Tho, Vinh Phuc, Ha Nam, and Nam Dinh [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704002
        </catValu>
        <labl>
          Ha Giang and Tuyen Quang [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704004
        </catValu>
        <labl>
          Cao Bang [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704014
        </catValu>
        <labl>
          Son La [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704015
        </catValu>
        <labl>
          Lai Chau, Dien Bien, Lao Cai, and Yen Bai [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704019
        </catValu>
        <labl>
          Bac Kan and Thai Nguyen [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704020
        </catValu>
        <labl>
          Lang Son [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704022
        </catValu>
        <labl>
          Quang Ninh [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704024
        </catValu>
        <labl>
          Bac Giang, and Bac Ninh [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704030
        </catValu>
        <labl>
          Hai Duong and Hung Yen [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704031
        </catValu>
        <labl>
          Hai Phong [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704034
        </catValu>
        <labl>
          Thai Binh [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704038
        </catValu>
        <labl>
          Thanh Hoa [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704040
        </catValu>
        <labl>
          Nghe An and Ha Tinh [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704046
        </catValu>
        <labl>
          Quang Binh, Quang Tri, and Thua Thien - Hue [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704049
        </catValu>
        <labl>
          Da Nang and Quang Nam [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704051
        </catValu>
        <labl>
          Binh Dinh and Quang Ngai [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704054
        </catValu>
        <labl>
          Phu Yen and Khanh Hoa [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704060
        </catValu>
        <labl>
          Thuan Hai, Ninh Thuan, and Binh Thuan [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704062
        </catValu>
        <labl>
          Gia Lai and Kon Tum [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704066
        </catValu>
        <labl>
          Dak Lak and Dak Nong [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704068
        </catValu>
        <labl>
          Lam Dong [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704072
        </catValu>
        <labl>
          Tay Ninh [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704074
        </catValu>
        <labl>
          Binh Duong and Binh Phuoc [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704075
        </catValu>
        <labl>
          Dong Nai and Ba Ria - Vung Tau [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704079
        </catValu>
        <labl>
          Ho Chi Minh City [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704080
        </catValu>
        <labl>
          Long An [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704082
        </catValu>
        <labl>
          Tien Giang [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704083
        </catValu>
        <labl>
          Ben Tre [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704086
        </catValu>
        <labl>
          Vinh Long and Tra Vinh [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704087
        </catValu>
        <labl>
          Dong Thap [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704089
        </catValu>
        <labl>
          An Giang [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704091
        </catValu>
        <labl>
          Kien Giang [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704094
        </catValu>
        <labl>
          Hau Giang, Can Tho City, and Soc Trang [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704096
        </catValu>
        <labl>
          Bac Lieu and Ca Mau [Province: Vietnam]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705001
        </catValu>
        <labl>
          Pomurska [Region: Slovenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705002
        </catValu>
        <labl>
          Podravska [Region: Slovenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705003
        </catValu>
        <labl>
          Koroška [Region: Slovenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705004
        </catValu>
        <labl>
          Savinjska [Region: Slovenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705005
        </catValu>
        <labl>
          Zasavska [Region: Slovenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705006
        </catValu>
        <labl>
          Spodnjeposavska [Region: Slovenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705007
        </catValu>
        <labl>
          Jugovzhodna Slovenija [Region: Slovenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705008
        </catValu>
        <labl>
          Osrednjeslovenska [Region: Slovenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705009
        </catValu>
        <labl>
          Gorenjska [Region: Slovenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705010
        </catValu>
        <labl>
          Notranjsko-kraška [Region: Slovenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705011
        </catValu>
        <labl>
          Goriška [Region: Slovenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705012
        </catValu>
        <labl>
          Obalno-kraška [Region: Slovenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705099
        </catValu>
        <labl>
          Unknown [Region: Slovenia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710001
        </catValu>
        <labl>
          Western Cape [Province: South Africa]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710004
        </catValu>
        <labl>
          Free State [Province: South Africa]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710005
        </catValu>
        <labl>
          Eastern Cape, KwaZulu-Natal [Province: South Africa]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710007
        </catValu>
        <labl>
          Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710999
        </catValu>
        <labl>
          Unknown [Province: South Africa]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724011
        </catValu>
        <labl>
          Galicia [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724012
        </catValu>
        <labl>
          Principado de Asturias [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724013
        </catValu>
        <labl>
          Cantabria [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724021
        </catValu>
        <labl>
          País Vasco [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724022
        </catValu>
        <labl>
          Comunidad Foral de Navarra [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724023
        </catValu>
        <labl>
          La Rioja [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724024
        </catValu>
        <labl>
          Aragón [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724030
        </catValu>
        <labl>
          Comunidad de Madrid [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724041
        </catValu>
        <labl>
          Castilla y León [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724042
        </catValu>
        <labl>
          Castilla-La Mancha [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724043
        </catValu>
        <labl>
          Extremadura [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724051
        </catValu>
        <labl>
          Cataluña [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724052
        </catValu>
        <labl>
          Comunidad Valenciana [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724053
        </catValu>
        <labl>
          Illes Balears [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724061
        </catValu>
        <labl>
          Andalucía [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724062
        </catValu>
        <labl>
          Región de Murcia [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724063
        </catValu>
        <labl>
          Ciudad Autónoma de Ceuta [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724064
        </catValu>
        <labl>
          Ciudad Autónoma de Melilla [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724070
        </catValu>
        <labl>
          Canarias [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724099
        </catValu>
        <labl>
          Unknown [Communities and Autonomous Cities: Spain]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          728071
        </catValu>
        <labl>
          Upper Nile [State: South Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          728072
        </catValu>
        <labl>
          Jonglei [State: South Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          728073
        </catValu>
        <labl>
          Unity [State: South Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          728081
        </catValu>
        <labl>
          Warrap [State: South Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          728082
        </catValu>
        <labl>
          Northern Bahr El Ghazal [State: South Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          728083
        </catValu>
        <labl>
          Western Bahr El Ghazal [State: South Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          728084
        </catValu>
        <labl>
          Lakes [State: South Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          728091
        </catValu>
        <labl>
          Western Equatoria [State: South Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          728092
        </catValu>
        <labl>
          Central Equatoria [State: South Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          728093
        </catValu>
        <labl>
          Eastern Equatoria [State: South Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729011
        </catValu>
        <labl>
          Northern [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729012
        </catValu>
        <labl>
          Nahr El Nil [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729021
        </catValu>
        <labl>
          Red Sea [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729022
        </catValu>
        <labl>
          Kassala [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729023
        </catValu>
        <labl>
          Al Gedarif [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729031
        </catValu>
        <labl>
          Khartoum [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729041
        </catValu>
        <labl>
          Al Gezira [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729042
        </catValu>
        <labl>
          White Nile [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729043
        </catValu>
        <labl>
          Sinnar [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729044
        </catValu>
        <labl>
          Blue Nile [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729051
        </catValu>
        <labl>
          North Kordofan [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729052
        </catValu>
        <labl>
          South Kordofan [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729061
        </catValu>
        <labl>
          North Darfur [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729062
        </catValu>
        <labl>
          West Darfur [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729063
        </catValu>
        <labl>
          South Darfur [State: Sudan]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756001
        </catValu>
        <labl>
          Zurich [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756002
        </catValu>
        <labl>
          Bern [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756003
        </catValu>
        <labl>
          Luzern (Lucerne) [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756004
        </catValu>
        <labl>
          Uri [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756005
        </catValu>
        <labl>
          Schwyz [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756006
        </catValu>
        <labl>
          Obwalden (Obwald) [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756007
        </catValu>
        <labl>
          Nidwalden (Nidwald) [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756008
        </catValu>
        <labl>
          Glarus [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756009
        </catValu>
        <labl>
          Zug [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756010
        </catValu>
        <labl>
          Fribourg [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756011
        </catValu>
        <labl>
          Solothurn [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756012
        </catValu>
        <labl>
          Basel-Stadt (Basel-City) [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756013
        </catValu>
        <labl>
          Basel-Landschaft (Basel-Country) [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756014
        </catValu>
        <labl>
          Schaffhausen [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756015
        </catValu>
        <labl>
          Outer and Inner Rhodes [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756017
        </catValu>
        <labl>
          St. Gallen (St. Gall) [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756018
        </catValu>
        <labl>
          Graubundun (Grisons) [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756019
        </catValu>
        <labl>
          Aargau (Argovia) [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756020
        </catValu>
        <labl>
          Thurgau (Thurgovia) [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756021
        </catValu>
        <labl>
          Ticino [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756022
        </catValu>
        <labl>
          Vaud [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756023
        </catValu>
        <labl>
          Valais [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756024
        </catValu>
        <labl>
          Neuchatel [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756025
        </catValu>
        <labl>
          Geneva [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756026
        </catValu>
        <labl>
          Jura [Canton: Switzerland]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764010
        </catValu>
        <labl>
          Bangkok [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764011
        </catValu>
        <labl>
          Samut Prakan [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764012
        </catValu>
        <labl>
          Nonthaburi [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764013
        </catValu>
        <labl>
          Pathum Thani [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764014
        </catValu>
        <labl>
          Phra Nakhon si Ayutthaya [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764015
        </catValu>
        <labl>
          Ang Thong [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764016
        </catValu>
        <labl>
          Lop Buri [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764017
        </catValu>
        <labl>
          Sing Buri [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764018
        </catValu>
        <labl>
          Chai Nat [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764019
        </catValu>
        <labl>
          Prachin Buri and Sa Kaeo [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764020
        </catValu>
        <labl>
          Chon Buri [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764021
        </catValu>
        <labl>
          Rayong [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764022
        </catValu>
        <labl>
          Chanthaburi [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764023
        </catValu>
        <labl>
          Trat [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764024
        </catValu>
        <labl>
          Chachoengsao [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764026
        </catValu>
        <labl>
          Nakhon Nayok [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764027
        </catValu>
        <labl>
          Saraburi [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764030
        </catValu>
        <labl>
          Nakhon Ratchasima [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764031
        </catValu>
        <labl>
          Buri Ram [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764032
        </catValu>
        <labl>
          Surin [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764033
        </catValu>
        <labl>
          Si Sa Ket [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764034
        </catValu>
        <labl>
          Ubon Ratchathani, Yasothon and Amnat Charoen [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764036
        </catValu>
        <labl>
          Chaiyaphum [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764040
        </catValu>
        <labl>
          Khon Kaen [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764041
        </catValu>
        <labl>
          Udon Thani and Nong Bua Lam Phu [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764042
        </catValu>
        <labl>
          Loei [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764043
        </catValu>
        <labl>
          Nong Khai [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764044
        </catValu>
        <labl>
          Maha Sarakham [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764045
        </catValu>
        <labl>
          Roi Et [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764046
        </catValu>
        <labl>
          Kalasin [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764047
        </catValu>
        <labl>
          Sakon Nakhon [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764048
        </catValu>
        <labl>
          Nakhon Phanom and Mukdahan [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764050
        </catValu>
        <labl>
          Chiang Mai [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764051
        </catValu>
        <labl>
          Lamphun [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764052
        </catValu>
        <labl>
          Lampang [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764053
        </catValu>
        <labl>
          Uttaradit [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764054
        </catValu>
        <labl>
          Phrae [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764055
        </catValu>
        <labl>
          Nan [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764057
        </catValu>
        <labl>
          Chiang Rai and Phayao [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764058
        </catValu>
        <labl>
          Mae Hong Son [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764060
        </catValu>
        <labl>
          Nakhon Sawan [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764061
        </catValu>
        <labl>
          Uthai Thani [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764062
        </catValu>
        <labl>
          Kamphaeng Phet [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764063
        </catValu>
        <labl>
          Tak [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764064
        </catValu>
        <labl>
          Sukhothai [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764065
        </catValu>
        <labl>
          Phitsanulok [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764066
        </catValu>
        <labl>
          Phichit [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764067
        </catValu>
        <labl>
          Phetchabun [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764070
        </catValu>
        <labl>
          Ratchaburi [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764071
        </catValu>
        <labl>
          Kanchanaburi [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764072
        </catValu>
        <labl>
          Suphanburi [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764073
        </catValu>
        <labl>
          Nakhon Pathom [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764074
        </catValu>
        <labl>
          Samut Sakhon [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764075
        </catValu>
        <labl>
          Samut Songkhram [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764076
        </catValu>
        <labl>
          Phetchaburi [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764077
        </catValu>
        <labl>
          Prachuap Khiri Khan [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764080
        </catValu>
        <labl>
          Nakhon Si Thammarat [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764081
        </catValu>
        <labl>
          Krabi [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764082
        </catValu>
        <labl>
          Phangnga [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764083
        </catValu>
        <labl>
          Phuket [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764084
        </catValu>
        <labl>
          Surat Thani [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764085
        </catValu>
        <labl>
          Ranong [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764086
        </catValu>
        <labl>
          Chumphon [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764090
        </catValu>
        <labl>
          Songkhla [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764091
        </catValu>
        <labl>
          Satun [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764092
        </catValu>
        <labl>
          Trang [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764093
        </catValu>
        <labl>
          Phatthalung [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764094
        </catValu>
        <labl>
          Pattani [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764095
        </catValu>
        <labl>
          Yala [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764096
        </catValu>
        <labl>
          Narathiwat [Province: Thailand]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792001
        </catValu>
        <labl>
          Adana, Gaziantep, Osmaniye and Kilis [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792002
        </catValu>
        <labl>
          Adiyaman [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792003
        </catValu>
        <labl>
          Afyon [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792004
        </catValu>
        <labl>
          Agri [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792005
        </catValu>
        <labl>
          Amasya [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792006
        </catValu>
        <labl>
          Ankara and Kirikkale [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792007
        </catValu>
        <labl>
          Antalya [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792008
        </catValu>
        <labl>
          Artvin [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792009
        </catValu>
        <labl>
          Aydin [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792010
        </catValu>
        <labl>
          Balikesir [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792011
        </catValu>
        <labl>
          Bilecik [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792012
        </catValu>
        <labl>
          Bingöl [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792013
        </catValu>
        <labl>
          Bitlis [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792014
        </catValu>
        <labl>
          Bolu and Düzce [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792015
        </catValu>
        <labl>
          Burdur [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792017
        </catValu>
        <labl>
          Çanakkale [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792019
        </catValu>
        <labl>
          Çorum [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792020
        </catValu>
        <labl>
          Denizli [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792021
        </catValu>
        <labl>
          Diyarbakir [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792022
        </catValu>
        <labl>
          Edirne [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792023
        </catValu>
        <labl>
          Elazig [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792024
        </catValu>
        <labl>
          Erzincan [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792025
        </catValu>
        <labl>
          Erzurum [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792026
        </catValu>
        <labl>
          Eskisehir [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792028
        </catValu>
        <labl>
          Giresun [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792029
        </catValu>
        <labl>
          Gümüshane and Bayburt [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792031
        </catValu>
        <labl>
          Hatay [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792032
        </catValu>
        <labl>
          Isparta [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792033
        </catValu>
        <labl>
          Mersin (içel) [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792034
        </catValu>
        <labl>
          Istanbul, Bursa, Kocaeli and Yalova [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792035
        </catValu>
        <labl>
          Izmir [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792036
        </catValu>
        <labl>
          Kars, Ardahan and Igdir [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792037
        </catValu>
        <labl>
          Kastamonu [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792038
        </catValu>
        <labl>
          Kayseri [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792039
        </catValu>
        <labl>
          Kirklareli [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792040
        </catValu>
        <labl>
          Kirsehir [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792042
        </catValu>
        <labl>
          Konya and Karaman [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792043
        </catValu>
        <labl>
          Kütahya [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792044
        </catValu>
        <labl>
          Malatya [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792045
        </catValu>
        <labl>
          Manisa [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792046
        </catValu>
        <labl>
          Kahramanmaras [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792047
        </catValu>
        <labl>
          Mardin, Hakkari, Siirt, Batman and Sirnak [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792048
        </catValu>
        <labl>
          Mugla [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792049
        </catValu>
        <labl>
          Mus [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792050
        </catValu>
        <labl>
          Nevsehir [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792051
        </catValu>
        <labl>
          Nigde and Aksaray [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792052
        </catValu>
        <labl>
          Ordu [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792053
        </catValu>
        <labl>
          Rize [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792054
        </catValu>
        <labl>
          Sakarya [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792055
        </catValu>
        <labl>
          Samsun [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792057
        </catValu>
        <labl>
          Sinop [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792058
        </catValu>
        <labl>
          Sivas [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792059
        </catValu>
        <labl>
          Tekirdag [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792060
        </catValu>
        <labl>
          Tokat [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792061
        </catValu>
        <labl>
          Trabzon [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792062
        </catValu>
        <labl>
          Tunceli [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792063
        </catValu>
        <labl>
          Sanliurfa [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792064
        </catValu>
        <labl>
          Usak [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792065
        </catValu>
        <labl>
          Van [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792066
        </catValu>
        <labl>
          Yozgat [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792067
        </catValu>
        <labl>
          Zonguldak, Çankiri, Karabuk and Bartin [Province: Turkey]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800101
        </catValu>
        <labl>
          Kalangala [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800102
        </catValu>
        <labl>
          Kampala [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800103
        </catValu>
        <labl>
          Kiboga [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800104
        </catValu>
        <labl>
          Luwero and Nakasongola [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800105
        </catValu>
        <labl>
          Masaka and Sembabule [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800107
        </catValu>
        <labl>
          Mubende [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800108
        </catValu>
        <labl>
          Mukono and Kayunga [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800110
        </catValu>
        <labl>
          Rakai [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800113
        </catValu>
        <labl>
          Mpigi and Wakiso [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800203
        </catValu>
        <labl>
          Iganga, Buguri, and Mayuge [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800204
        </catValu>
        <labl>
          Jinja [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800205
        </catValu>
        <labl>
          Kamuli [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800206
        </catValu>
        <labl>
          Kapchorwa [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800208
        </catValu>
        <labl>
          Kumi [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800209
        </catValu>
        <labl>
          Mbale and Sironko [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800210
        </catValu>
        <labl>
          Pallisa [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800211
        </catValu>
        <labl>
          Soroti, Katakwi, and Kaberamaido [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800212
        </catValu>
        <labl>
          Busia and Tororo [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800301
        </catValu>
        <labl>
          Moyo and Adjumani [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800302
        </catValu>
        <labl>
          Apac [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800303
        </catValu>
        <labl>
          Arua and Yumbe [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800304
        </catValu>
        <labl>
          Gulu [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800306
        </catValu>
        <labl>
          Kotido [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800307
        </catValu>
        <labl>
          Lira [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800308
        </catValu>
        <labl>
          Moroto and Nakapiripirit [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800310
        </catValu>
        <labl>
          Nebbi [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800312
        </catValu>
        <labl>
          Kitgum and Pader [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800401
        </catValu>
        <labl>
          Bundibugyo [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800403
        </catValu>
        <labl>
          Hoima [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800404
        </catValu>
        <labl>
          Kabale [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800405
        </catValu>
        <labl>
          Kabarole, Kamwenge, and Kyenjojo [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800406
        </catValu>
        <labl>
          Kasese [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800407
        </catValu>
        <labl>
          Kibaale [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800408
        </catValu>
        <labl>
          Kisoro [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800409
        </catValu>
        <labl>
          Masindi [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800410
        </catValu>
        <labl>
          Bushenyi, Mbarara, and Ntungamo [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800412
        </catValu>
        <labl>
          Rukungiri and Kanungu [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800999
        </catValu>
        <labl>
          Unknown [District: Uganda]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804001
        </catValu>
        <labl>
          The Autonomous Republic of Crimea [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804005
        </catValu>
        <labl>
          Vinnytska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804007
        </catValu>
        <labl>
          Volynska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804012
        </catValu>
        <labl>
          Dnipropetrovska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804014
        </catValu>
        <labl>
          Donetska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804018
        </catValu>
        <labl>
          Zhytomyrska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804021
        </catValu>
        <labl>
          Zakarpatska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804023
        </catValu>
        <labl>
          Zaporizka oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804026
        </catValu>
        <labl>
          Ivano-Frankivska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804032
        </catValu>
        <labl>
          Kyivska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804035
        </catValu>
        <labl>
          Kirovohradska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804044
        </catValu>
        <labl>
          Luhanska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804046
        </catValu>
        <labl>
          Lvivska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804048
        </catValu>
        <labl>
          Mykolaivska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804051
        </catValu>
        <labl>
          Odeska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804053
        </catValu>
        <labl>
          Poltavska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804056
        </catValu>
        <labl>
          Rivnenska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804059
        </catValu>
        <labl>
          Sumska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804061
        </catValu>
        <labl>
          Ternopilska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804063
        </catValu>
        <labl>
          Kharkivska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804065
        </catValu>
        <labl>
          Khersonska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804068
        </catValu>
        <labl>
          Khmelnytska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804071
        </catValu>
        <labl>
          Cherkaska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804073
        </catValu>
        <labl>
          Chernivetska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804074
        </catValu>
        <labl>
          Chernihivska oblast [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804080
        </catValu>
        <labl>
          Kyiv [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804085
        </catValu>
        <labl>
          Sevastopol [Region: Ukraine]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818001
        </catValu>
        <labl>
          Cairo [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818002
        </catValu>
        <labl>
          Alexandria [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818003
        </catValu>
        <labl>
          Port Said [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818004
        </catValu>
        <labl>
          Suez [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818011
        </catValu>
        <labl>
          Damietta [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818012
        </catValu>
        <labl>
          Dakahlia [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818013
        </catValu>
        <labl>
          Sharkia [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818014
        </catValu>
        <labl>
          Kaliobia [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818015
        </catValu>
        <labl>
          Kafr Sheikh [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818016
        </catValu>
        <labl>
          Gharbia [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818017
        </catValu>
        <labl>
          Menoufia [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818018
        </catValu>
        <labl>
          Behera [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818019
        </catValu>
        <labl>
          Ismailia [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818021
        </catValu>
        <labl>
          Giza [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818022
        </catValu>
        <labl>
          Bani Swif [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818023
        </catValu>
        <labl>
          Fayoum [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818024
        </catValu>
        <labl>
          Menia [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818025
        </catValu>
        <labl>
          Asiut [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818026
        </catValu>
        <labl>
          Sohag [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818027
        </catValu>
        <labl>
          Qena [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818028
        </catValu>
        <labl>
          Aswan [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818029
        </catValu>
        <labl>
          Luxor [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818031
        </catValu>
        <labl>
          Red Sea [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818032
        </catValu>
        <labl>
          New Valley [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818033
        </catValu>
        <labl>
          Marsa Matroh [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818034
        </catValu>
        <labl>
          North Sinai [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818035
        </catValu>
        <labl>
          South Sinai [Governorate: Egypt]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826011
        </catValu>
        <labl>
          North East [Region: United Kingdom]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826013
        </catValu>
        <labl>
          North West [Region: United Kingdom]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826014
        </catValu>
        <labl>
          Yorkshire and the Humber [Region: United Kingdom]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826021
        </catValu>
        <labl>
          East Midlands [Region: United Kingdom]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826022
        </catValu>
        <labl>
          West Midlands [Region: United Kingdom]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826031
        </catValu>
        <labl>
          East of England [Region: United Kingdom]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826032
        </catValu>
        <labl>
          South East and London [Region: United Kingdom]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826040
        </catValu>
        <labl>
          South West [Region: United Kingdom]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826060
        </catValu>
        <labl>
          Scotland [Region: United Kingdom]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826070
        </catValu>
        <labl>
          Wales [Region: United Kingdom]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826080
        </catValu>
        <labl>
          Northern Ireland [Region: United Kingdom]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834001
        </catValu>
        <labl>
          Dodoma [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834003
        </catValu>
        <labl>
          Kilimanjaro [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834004
        </catValu>
        <labl>
          Tanga [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834005
        </catValu>
        <labl>
          Morogoro [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834006
        </catValu>
        <labl>
          Pwani [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834007
        </catValu>
        <labl>
          Dar es Salaam [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834008
        </catValu>
        <labl>
          Lindi [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834009
        </catValu>
        <labl>
          Mtwara [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834010
        </catValu>
        <labl>
          Ruvumba [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834011
        </catValu>
        <labl>
          Iringa [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834012
        </catValu>
        <labl>
          Mbeya [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834013
        </catValu>
        <labl>
          Singida [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834014
        </catValu>
        <labl>
          Tabora [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834015
        </catValu>
        <labl>
          Rukwa [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834016
        </catValu>
        <labl>
          Kigoma [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834017
        </catValu>
        <labl>
          Shinyanga [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834018
        </catValu>
        <labl>
          Kagera [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834019
        </catValu>
        <labl>
          Mwanza [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834020
        </catValu>
        <labl>
          Mara [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834021
        </catValu>
        <labl>
          Arusha and Manyara [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834051
        </catValu>
        <labl>
          Zanzibar North [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834052
        </catValu>
        <labl>
          Zanzibar South [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834053
        </catValu>
        <labl>
          Zanzibar Town/West [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834054
        </catValu>
        <labl>
          Pemba North [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834055
        </catValu>
        <labl>
          Pemba South [Region: Tanzania]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840001
        </catValu>
        <labl>
          Alabama [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840002
        </catValu>
        <labl>
          Alaska [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840004
        </catValu>
        <labl>
          Arizona [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840005
        </catValu>
        <labl>
          Arkansas [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840006
        </catValu>
        <labl>
          California [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840008
        </catValu>
        <labl>
          Colorado [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840009
        </catValu>
        <labl>
          Connecticut [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840010
        </catValu>
        <labl>
          Delaware [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840011
        </catValu>
        <labl>
          District of Columbia [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840012
        </catValu>
        <labl>
          Florida [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840013
        </catValu>
        <labl>
          Georgia [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840015
        </catValu>
        <labl>
          Hawaii [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840016
        </catValu>
        <labl>
          Idaho [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840017
        </catValu>
        <labl>
          Illinois [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840018
        </catValu>
        <labl>
          Indiana [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840019
        </catValu>
        <labl>
          Iowa [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840020
        </catValu>
        <labl>
          Kansas [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840021
        </catValu>
        <labl>
          Kentucky [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840022
        </catValu>
        <labl>
          Louisiana [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840023
        </catValu>
        <labl>
          Maine [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840024
        </catValu>
        <labl>
          Maryland [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840025
        </catValu>
        <labl>
          Massachusetts [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840026
        </catValu>
        <labl>
          Michigan [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840027
        </catValu>
        <labl>
          Minnesota [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840028
        </catValu>
        <labl>
          Mississippi [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840029
        </catValu>
        <labl>
          Missouri [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840030
        </catValu>
        <labl>
          Montana [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840031
        </catValu>
        <labl>
          Nebraska [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840032
        </catValu>
        <labl>
          Nevada [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840033
        </catValu>
        <labl>
          New Hampshire [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840034
        </catValu>
        <labl>
          New Jersey [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840035
        </catValu>
        <labl>
          New Mexico [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840036
        </catValu>
        <labl>
          New York [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840037
        </catValu>
        <labl>
          North Carolina [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840038
        </catValu>
        <labl>
          North Dakota [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840039
        </catValu>
        <labl>
          Ohio [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840040
        </catValu>
        <labl>
          Oklahoma [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840041
        </catValu>
        <labl>
          Oregon [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840042
        </catValu>
        <labl>
          Pennsylvania [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840044
        </catValu>
        <labl>
          Rhode Island [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840045
        </catValu>
        <labl>
          South Carolina [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840046
        </catValu>
        <labl>
          South Dakota [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840047
        </catValu>
        <labl>
          Tennessee [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840048
        </catValu>
        <labl>
          Texas [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840049
        </catValu>
        <labl>
          Utah [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840050
        </catValu>
        <labl>
          Vermont [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840051
        </catValu>
        <labl>
          Virginia [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840053
        </catValu>
        <labl>
          Washington [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840054
        </catValu>
        <labl>
          West Virginia [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840055
        </catValu>
        <labl>
          Wisconsin [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840056
        </catValu>
        <labl>
          Wyoming [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840099
        </catValu>
        <labl>
          State not identified [State: U.S.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854001
        </catValu>
        <labl>
          Boucle du Mouhoun [Region: Burkina Faso]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854002
        </catValu>
        <labl>
          Cascades [Region: Burkina Faso]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854003
        </catValu>
        <labl>
          Centre [Region: Burkina Faso]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854004
        </catValu>
        <labl>
          Centre-Est [Region: Burkina Faso]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854005
        </catValu>
        <labl>
          Centre-Nord [Region: Burkina Faso]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854006
        </catValu>
        <labl>
          Centre-Ouest [Region: Burkina Faso]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854007
        </catValu>
        <labl>
          Centre-Sud [Region: Burkina Faso]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854008
        </catValu>
        <labl>
          Est [Region: Burkina Faso]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854009
        </catValu>
        <labl>
          Hauts-Bassins [Region: Burkina Faso]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854010
        </catValu>
        <labl>
          Nord [Region: Burkina Faso]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854011
        </catValu>
        <labl>
          Plateau Central [Region: Burkina Faso]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854012
        </catValu>
        <labl>
          Sahel [Region: Burkina Faso]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854013
        </catValu>
        <labl>
          Sud-Ouest [Region: Burkina Faso]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858001
        </catValu>
        <labl>
          Montevideo [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858002
        </catValu>
        <labl>
          Artigas [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858003
        </catValu>
        <labl>
          Canelones [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858004
        </catValu>
        <labl>
          Cerro Largo [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858005
        </catValu>
        <labl>
          Colonia [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858006
        </catValu>
        <labl>
          Durazno [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858007
        </catValu>
        <labl>
          Flores [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858008
        </catValu>
        <labl>
          Florida [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858009
        </catValu>
        <labl>
          Lavalleja [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858010
        </catValu>
        <labl>
          Maldonado [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858011
        </catValu>
        <labl>
          Paysandú [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858012
        </catValu>
        <labl>
          Río Negro [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858013
        </catValu>
        <labl>
          Rivera [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858014
        </catValu>
        <labl>
          Rocha [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858015
        </catValu>
        <labl>
          Salto [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858016
        </catValu>
        <labl>
          San Jose [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858017
        </catValu>
        <labl>
          Soriano [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858018
        </catValu>
        <labl>
          Tacuarembó [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858019
        </catValu>
        <labl>
          Treinta Y Tres [Department: Uruguay]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862001
        </catValu>
        <labl>
          Federal District, Vargas [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862002
        </catValu>
        <labl>
          Amazonas Federal Territory [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862003
        </catValu>
        <labl>
          Anzoátegui [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862004
        </catValu>
        <labl>
          Apure [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862005
        </catValu>
        <labl>
          Aragua [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862007
        </catValu>
        <labl>
          Bolívar [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862008
        </catValu>
        <labl>
          Carabobo [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862009
        </catValu>
        <labl>
          Cojedes [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862010
        </catValu>
        <labl>
          Amacuros Delta Federal Territory [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862011
        </catValu>
        <labl>
          Falcón [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862012
        </catValu>
        <labl>
          Guárico [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862013
        </catValu>
        <labl>
          Lara [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862014
        </catValu>
        <labl>
          Barinas, Mérida [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862015
        </catValu>
        <labl>
          Miranda [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862016
        </catValu>
        <labl>
          Monagas [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862017
        </catValu>
        <labl>
          Nueva Esparta, Federal Dependencies [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862018
        </catValu>
        <labl>
          Portuguesa [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862019
        </catValu>
        <labl>
          Sucre [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862020
        </catValu>
        <labl>
          Táchira [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862021
        </catValu>
        <labl>
          Trujillo [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862022
        </catValu>
        <labl>
          Yaracuy [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862023
        </catValu>
        <labl>
          Zulia [State: Venezuela]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          894001
        </catValu>
        <labl>
          Central [Province: Zambia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          894002
        </catValu>
        <labl>
          Copperbelt [Province: Zambia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          894003
        </catValu>
        <labl>
          Eastern, Muchinga, Northern [Province: Zambia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          894004
        </catValu>
        <labl>
          Luapula [Province: Zambia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          894005
        </catValu>
        <labl>
          Lusaka [Province: Zambia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          894008
        </catValu>
        <labl>
          North Western [Province: Zambia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          894009
        </catValu>
        <labl>
          Southern [Province: Zambia]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          894010
        </catValu>
        <labl>
          Western [Province: Zambia]
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography: Global Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V22" name="BR1960A_0005" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="90" EndPos="90" width="1" RecSegNo="1"/>
      <labl>
        Type of dwelling
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

B. Type (of construction)


[] 4 durable
[] 5 rustic
[] 6 improvised]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question B - Type

The responses to this question will be given regarding the structure (walls, roof and floor) or the nature of the place where the dwelling is located.
The enumerator will mark an X in the following cases:


Durable - For dwellings located in buildings where the construction has predominantly walls of brick, stone, adobe or finished wood; roof of shingles (clay, asbestos, wood, zinc, etc.) or of a concrete slab; floor of wood, cement, tile or mosaic.
Rustic - for those located in buildings where the construction is predominantly walls and roof of lathe-and-plaster, thatch, straw, unfinished wood, material made of used containers; and dirt floor.
If the material used in the three components of the structure of the building (wall, roof, and floor) are not described in the same group above (Durable or Rustic), the group that contains two of the three components should be marked. For example: a building with walls and roof of used containers and a wooden floor will be classified as Rustic.
When more than one type of material in one of the components is used, that used in greatest quantity will be considered.


[p. 41]


Improvised - For dwellings located in non-residential buildings (stores, factories, etc.), provided that these buildings do not have areas reserved exclusively for housing (bedroom and kitchen).
The following places which are serving as housing for persons, even if temporary in nature, will also be recorded as improvised:



a) buildings in construction serving as housing for the respective construction workers;
b) boat, cart, railroad car, etc.;
c) tent, cave, bridge, railroad yard, marquise of a building, etc., which are serving as shelter on the date of the Census.


Dwellings located in non-residential buildings but which have areas reserved exclusively for housing will be considered either Durable or Rustic, as described above.
The remaining questions will not be asked if the dwelling is recorded as improvised.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the type of dwelling.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Group quarters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Durable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Rustic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Improvised
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V23" name="BR1960A_0006" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="91" EndPos="91" width="1" RecSegNo="1"/>
      <labl>
        Condition of occupation
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

C. Condition of ownership


[] 7 already paid
[] 8 rented
[] 9 other]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question C - Condition of ownership

The response to this question should be:


Owned by resident - When the family group lives in a dwelling it owns, even if the land does not belong to the family group;
Rented - When the dwelling is rented;
Other - When a family lives in a dwelling which is neither its own nor rented.


The dwellings of farm workers living on farms where they exercise their occupations, if not rented, will be classified as Other condition, even if they have been built by the residents.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        Not group quarters, not improvised dwellings
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Owned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Rented
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V24" name="BR1960A_0007" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="92" EndPos="93" width="2" RecSegNo="1"/>
      <labl>
        Monthly rent
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

D. Monthly rent (in Cr$=cruzeiros)


[] 10 up to 500
[] 11 501 to 1000
[] 12 1001 to 2000
[] 13 2001 to 4000
[] 14 4001 to 6000
[] 15 6001 to 10,000
[] 16 10,001 to 20,000
[] 17 20,001+
[] 18 don't pay rent]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question D - Monthly rent

This question refers only to rented dwellings.
For dwellings Owned by resident and in other condition, the box entitled "does not pay rent" should be marked.
For Rented dwellings, the amount of the rent paid should be indicated. The total amount paid monthly by the tenant to the owner of the property should be considered.
In the case of buildings where the tenant pays a single amount of rent for the dwelling and for a non-residential part (workshop, commercial shop, store, etc.) and those located in rented farming establishments, although having the condition of Rented (response to Question C), the box entitled "Does not pay rent" will be marked.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Not group quarters, not improvised dwellings
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the monthly rent of the dwelling.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Up to 500
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          From 500 to 1000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          From 1001 to 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          From 2001 to 4000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          From 4001 to 6000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          From 6001 to 10000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          From 10001 to 20000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          20001+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Doesn"t pay rent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V25" name="BR1960A_0008" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="94" EndPos="94" width="1" RecSegNo="1"/>
      <labl>
        Water supply
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

E. Water supply


General system:


[] 19 with interior plumbing
[] 20 with exterior plumbing


Well or spring:


[] 21 with plumbing
[] 22 without plumbing
[] 23 other form]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question E - Water source

This question asks about how water is supplied to the dwelling, based on the following classification:


General System

With indoor plumbing - when there is piped water inside the dwelling connected to a general system;
With outdoor plumbing - when the dwelling has piped water connected to a general system without internal distribution.

Well or Spring

With plumbing - when there is plumbing inside the dwelling connected to a well or spring;
Without plumbing - when the dwelling has its own well or spring without the water being piped inside;
Some other form of water supply - when the dwelling is supplied by a public water source, well or spigot located outside the dwelling.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        Not group quarters, not improvised dwellings
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable describes the source of each housing unit's water supply. The basic distinction is whether or not the household had access to piped water, generally from a public distribution system. In the absence of piped water, the WATER variable indicates the source of water in most samples.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          System with exterior plumbing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Well/spring with plumbing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Well/spring without plumbing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          System with internal plumbing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V26" name="BR1960A_0009" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="95" EndPos="95" width="1" RecSegNo="1"/>
      <labl>
        Sewage
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

F. Sewage installations


[] 24 sewage system
[] 25 septic tank
[] 26 rudimentary septic tank
[] 27 other drainage
[] 28 don't have]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question F - Sewage disposal

This question identifies whether the dwelling has sewage disposal facilities or not, and asks those who do have such facilities what type of outlet system they are connected to, classified as:


Sewer system - when the dwelling's toilet is connected to a general sewage collecting system;
Septic tank - when the toilet is connected to a septic tank, even if it serves more than one dwelling;
Rudimentary latrine - when there is no toilet and the dwelling is served by a simple latrine;
Other sewage outlet - when sewage facilities (whether or not there is a toilet) are connected to a sewage outlet which is neither a sewer system, a cesspool, a septic tank or a latrine, such as a river, lake, etc.;
Does not have - when the dwelling does not have any kind of sewage disposal facilities or when its occupants use facilities common to more than one dwelling.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        Not group quarters, not improvised dwellings
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the household has access to sewage system or septic tank.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sewer system
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Septic tank
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Rudimentary cesspool
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other drainage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Don't have
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V27" name="BR1960A_0010" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="96" EndPos="96" width="1" RecSegNo="1"/>
      <labl>
        Stove
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

G. Stove


[] 29 wood
[] 30 coal
[] 31 electric
[] 32 gas
[] 33 oil or kerosene
[] 34 don't have]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question G - Stove

For dwellings that have a stove, indicate the predominant type of fuel or energy used in the kitchen.
When the fuel used is some product of vegetable origin but not including charcoal, indicate Firewood.

[p. 43]

Examples: sawdust, straw from rice or coffee, coconut shells, etc.
Dwellings which do not have any stove or those served by a portable stove with only one burner, usually referred to as a brazier [fogarareiros], will be marked as Does not have.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        Not group quarters, not improvised dwellings
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the dwelling has a stove or not, and if it has, the type of fuel or energy used in the kitchen is listed (firewood, charcoal, oil, etc.).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Coal/charcoal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Electric
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Gas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Oil/kerosene
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Don't have
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Firewood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V28" name="BR1960A_0011" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="97" EndPos="97" width="1" RecSegNo="1"/>
      <labl>
        Electric lighting
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

H. Electricity


[] 35 have
[] 36 don't have]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question H - Electric lighting

Indicate if the dwelling does or does not have electric lighting, regardless of whether it is connected to a general system or not.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        Not group quarters, not improvised dwellings
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the household had access to electricity.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Have
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Don't have
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V29" name="BR1960A_0012" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="98" EndPos="98" width="1" RecSegNo="1"/>
      <labl>
        Radio
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

I. Radio


[] 37 have
[] 38 don't have]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question I - Radio

Indicate if the dwelling has a radio receiver. either connected to electric current or battery operated.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        Not group quarters, not improvised dwellings
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the household had a radio.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Have
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Don't have
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V30" name="BR1960A_0013" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="99" EndPos="99" width="1" RecSegNo="1"/>
      <labl>
        Refrigerator
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

J. Refrigerator


[] 37 have
[] 38 don't have]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question J - Refrigerator

Indicate the existence or not of a refrigerator. Iceboxes designed to merely hold ice for purposes of refrigeration, should not be considered.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        Not group quarters, not improvised dwellings
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the household had a refrigerator.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Don't have
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Have
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V31" name="BR1960A_0014" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="100" EndPos="100" width="1" RecSegNo="1"/>
      <labl>
        Television
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

L. Television


[] 37 have
[] 38 don't have]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question L - Television

Indicate whether the dwelling has a television set or not.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        Not group quarters, not improvised dwellings
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the household had a television.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Have
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Don't have
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V32" name="BR1960A_0015" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="101" EndPos="102" width="2" RecSegNo="1"/>
      <labl>
        Total number of rooms
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

M. Total number of rooms


____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question M - Total number of rooms

The number recorded will be the total number of compartments separated by walls, not including corridors, porches or verandas, and including rooms located in areas outside the building, provided that such rooms are an integral part of the dwelling. However, rooms used for non-household purposes, such as workshops, doctors' offices, dentists' offices, laboratories, studios, garages, sheds, storehouses, warehouses, etc. will not be considered, even if directly connected to the dwelling.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Not group quarters, not improvised dwellings
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of rooms in the housing unit.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V33" name="BR1960A_0016" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="103" EndPos="104" width="2" RecSegNo="1"/>
      <labl>
        Rooms serving as bedrooms
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

N. Number of rooms serving as bedrooms


____]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question N - Rooms which serve as bedrooms

Rooms which serve as sleeping quarters include not only bedrooms, but all other areas which permanently serve as sleeping accommodations, even if they are used as such due to lack of adequate accommodations for this purpose. It would be well to recall that rooms which are not used as sleeping quarters (offices, sewing rooms, etc.) should not be considered. However, rooms located in areas outside the building will be included, provided that persons (including employees) who are part of the dwelling live in them and, as such, are recorded on the respective Census Form.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Not group quarters, not improvised dwellings
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of rooms available to members of the household for sleeping purposes.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V34" name="BR1960A_0019" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="105" EndPos="105" width="1" RecSegNo="1"/>
      <labl>
        Urban-rural
      </labl>
      <qstn>
        <qstnLit>
          Urban-rural
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates whether the household was located in a place designated as urban, rural or suburban.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Suburban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Rural
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography: A-L Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V35" name="BR1960A_0024" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="106" EndPos="107" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="23" max="99"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable identifies the household's state of residence within Brazil. States are the major administrative level of the country and are currently the smallest geographic units in Brazilian samples.
      </txt>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Ceará
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Rio Grande do Norte
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Paraíba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Pernambuco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Alagoas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Sergipe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Bahia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Minas Gerais
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Rio de Janeiro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          São Paulo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Serra dos Aimorés
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Paraná
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Rio Grande do Sul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Mato Grosso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Goiás
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Distrito Federal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Arquipelago de Fernando de Noronha
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography: A-L Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V36" name="HHWT" files="F1" dcml="2" intrvl="contin">
      <location StartPos="31" EndPos="38" width="8" RecSegNo="1"/>
      <labl>
        Household weight
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHWT indicates the number of households in the population represented by the household in the sample.

For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics.

NOTE: HHWT has 2 implied decimal places.  That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.]]>
      </txt>
      <codInstr>
        HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description.
      </codInstr>
      <concept vocab="IPUMS">
        Technical Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V37" name="GEO1_BR" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="53" EndPos="58" width="6" RecSegNo="1"/>
      <labl>
        Brazil, State 1960 - 2010 [Level 1; consistent boundaries, GIS]
      </labl>
      <valrng>
        <range UNITS="REAL" min="76011" max="76053"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEO1_BR identifies the household's state within Brazil in all sample years. States are the first level administrative units of the country. GEO1_BR is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO1_BR can be downloaded from the  GIS Boundary files  page in the IPUMS International web site.

The full set of geography variables for Brazil can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here.

At the present moment, IPUMS International is only releasing integrated geography for the first level of geography for Brazil. Year specific geography and maps along with variables that are spatially harmonized at the second level of geography and account for political boundary changes across census years will become available in the near future.]]>
      </txt>
      <catgry>
        <catValu>
          76011
        </catValu>
        <labl>
          Rondonia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76012
        </catValu>
        <labl>
          Acre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76013
        </catValu>
        <labl>
          Amazonas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76014
        </catValu>
        <labl>
          Roraima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76015
        </catValu>
        <labl>
          Pará
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76016
        </catValu>
        <labl>
          Amapa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76021
        </catValu>
        <labl>
          Maranhao
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76022
        </catValu>
        <labl>
          Piauí
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76023
        </catValu>
        <labl>
          Ceará
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76024
        </catValu>
        <labl>
          Rio Grande do Norte
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76025
        </catValu>
        <labl>
          Paraiba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76026
        </catValu>
        <labl>
          Pernambuco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76027
        </catValu>
        <labl>
          Alagoas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76028
        </catValu>
        <labl>
          Sergipe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76029
        </catValu>
        <labl>
          Bahia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76031
        </catValu>
        <labl>
          Minas Gerais
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76032
        </catValu>
        <labl>
          Espírito Santo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76033
        </catValu>
        <labl>
          Rio de Janeiro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76035
        </catValu>
        <labl>
          São Paulo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76041
        </catValu>
        <labl>
          Parana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76042
        </catValu>
        <labl>
          Santa Catarina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76043
        </catValu>
        <labl>
          Rio Grande do Sul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76051
        </catValu>
        <labl>
          Mato Grosso, Mato Grosso do Sul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76052
        </catValu>
        <labl>
          Goiás and Tocantins
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76053
        </catValu>
        <labl>
          Distrito Federal
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography: A-L Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V38" name="GEO1_BRX" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="59" EndPos="60" width="2" RecSegNo="1"/>
      <labl>
        Brazil, State 1960 - 2010 [Level 1; inconsistent boundaries, harmonized by name]
      </labl>
      <valrng>
        <range UNITS="REAL" min="11" max="53"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEO1_BRX identifies the household's state within Brazil in all sample years. States are the first level administrative units of the country. GEO1_BRX is harmonized by name and does not account for boundary changes over time.

The full set of geography variables for Brazil can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here.

At the present moment, IPUMS International is only releasing integrated geography for the first level of geography for Brazil. Year specific geography and maps along with variables that are spatially harmonized at the second level of geography and account for political boundary changes across census years will become available in the near future.]]>
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Rondônia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Acre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Amazonas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Roraima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Pará
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Amapá
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Tocantins
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Maranhão
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Piauí
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Ceará
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Rio Grande do Norte
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Paraíba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Pernambuco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Alagoas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Sergipe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Bahia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Minas Gerais
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Espírito Santo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Rio de Janeiro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Guanabara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          São Paulo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Serra dos Aimorés
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Paraná
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Santa Catarina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Rio Grande do Sul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Mato Grosso do Sul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Mato Grosso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Goiás
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Distrito Federal
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography: A-L Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V39" name="NCOUPLES" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="84" EndPos="84" width="1" RecSegNo="1"/>
      <labl>
        Number of married couples in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household.  

NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No married couples in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 couple
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 couples
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 couples
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 couples
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 couples
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 couples
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 couples
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 couples
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 or more couples
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V40" name="NMOTHERS" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="85" EndPos="85" width="1" RecSegNo="1"/>
      <labl>
        Number of mothers in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household.

NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No mothers in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 mother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 mothers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 mothers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 mothers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 mothers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 mothers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 mothers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 mothers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 or more mothers in household
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V41" name="NFATHERS" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="86" EndPos="86" width="1" RecSegNo="1"/>
      <labl>
        Number of fathers in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household.

NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No fathers in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 father
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 fathers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 fathers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 fathers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 fathers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 fathers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 fathers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 fathers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 or more fathers in household
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V42" name="COUNTRY" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="2" EndPos="4" width="3" RecSegNo="1"/>
      <labl>
        Country
      </labl>
      <valrng>
        <range UNITS="REAL" min="32" max="894"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[COUNTRY gives the country from which the sample was drawn.  The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization).]]>
      </txt>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Argentina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Austria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Bangladesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Armenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bolivia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Belarus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Cambodia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Cameroon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Chile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Colombia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          Costa Rica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Cuba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Dominican Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          Ecuador
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          El Salvador
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Ethiopia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Fiji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          France
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Palestine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Greece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Haiti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          Hungary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Indonesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          Iran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          Iraq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Ireland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          Israel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          Jamaica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Jordan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          Kenya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          Kyrgyz Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Liberia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Malawi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458
        </catValu>
        <labl>
          Malaysia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          Mali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484
        </catValu>
        <labl>
          Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496
        </catValu>
        <labl>
          Mongolia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Morocco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508
        </catValu>
        <labl>
          Mozambique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Nepal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          528
        </catValu>
        <labl>
          Netherlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558
        </catValu>
        <labl>
          Nicaragua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591
        </catValu>
        <labl>
          Panama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Paraguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          Peru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          608
        </catValu>
        <labl>
          Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Portugal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Puerto Rico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          Romania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646
        </catValu>
        <labl>
          Rwanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          662
        </catValu>
        <labl>
          Saint Lucia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686
        </catValu>
        <labl>
          Senegal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          694
        </catValu>
        <labl>
          Sierra Leone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704
        </catValu>
        <labl>
          Vietnam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705
        </catValu>
        <labl>
          Slovenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Spain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          728
        </catValu>
        <labl>
          South Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756
        </catValu>
        <labl>
          Switzerland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          764
        </catValu>
        <labl>
          Thailand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792
        </catValu>
        <labl>
          Turkey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl>
          Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          804
        </catValu>
        <labl>
          Ukraine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818
        </catValu>
        <labl>
          Egypt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826
        </catValu>
        <labl>
          United Kingdom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          Tanzania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840
        </catValu>
        <labl>
          United States
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854
        </catValu>
        <labl>
          Burkina Faso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          858
        </catValu>
        <labl>
          Uruguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862
        </catValu>
        <labl>
          Venezuela
        </labl>
      </catgry>
      <catgry>
        <catValu>
          894
        </catValu>
        <labl>
          Zambia
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Technical Household Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V43" name="ELECTRIC" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="66" EndPos="66" width="1" RecSegNo="1"/>
      <labl>
        Electricity
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ELECTRIC indicates whether the household had access to electricity.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V44" name="BEDROOMS" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="79" EndPos="80" width="2" RecSegNo="1"/>
      <labl>
        Number of bedrooms
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BEDROOMS indicates the number of rooms available to members of the household for sleeping.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No bedrooms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Dwelling Characteristics Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V45" name="OWNERSHIP" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="62" EndPos="62" width="1" RecSegNo="1"/>
      <labl>
        Ownership of dwelling [general version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Owned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Not owned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V46" name="OWNERSHIPD" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="63" EndPos="65" width="3" RecSegNo="1"/>
      <labl>
        Ownership of dwelling [detailed version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Owned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Owned, already paid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Owned, still paying
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Owned, constructed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Owned, inherited
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          Owned, other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Owned, house
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Owned, condominium
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          Apartment proprietor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          Shared ownership
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Not owned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Renting, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Renting, government
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Renting, local authority
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Renting, parastatal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Renting, private
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          Renting, private company
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          Renting, individual
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          Renting, collective
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          Renting, joint state and individual
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          Renting, public subsidized
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Renting, private subsidized
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Renting, co-tenant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Renting, relative of tenant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Renting, cooperative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          Renting, with a job or business
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          Renting, loan-backed habitation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Renting, mixed contract
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          Furnished dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          Sharecropping
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Subletting
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Rent to own
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          Renting, other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Occupied de facto/squatting
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          Free/usufruct (no cash rent)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Free, provided by employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Free, without work or services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          Free, provided by family or friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          Free, private
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          Free, public
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          Free, condemned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          Free, other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          Not owned, other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Household Economic Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V47" name="FUELCOOK" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="71" EndPos="72" width="2" RecSegNo="1"/>
      <labl>
        Cooking fuel
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FUELCOOK indicates the predominant type of fuel or energy used for cooking.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Electricity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Petroleum gas, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Gas -- piped/utility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Gas -- tanked or bottled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Propane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Liquefied petroleum gas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Petroleum liquid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Oil, kerosene, and other liquid fuels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Kerosene/paraffin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Kerosene or oil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Kerosene or gasoline
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Gasoline
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Cocinol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Wood, coal, and other solid fuels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wood and other plant fuels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Non-wood plant materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Coal or charcoal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Charcoal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Coal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Wood or charcoal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Multiple fuels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Bottled gas and wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Propane and electricity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Propane, kerosene, and electricity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Propane and kerosene
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Kerosene and electrictiy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Other combinations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Alcohol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Biogas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Discarded or waste material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Dung/manure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Dung or grass
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          Solar energy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          Candle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Utilities Variables -- HOUSEHOLD
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V48" name="PERNUM" files="F2" dcml="0" intrvl="contin">
      <location StartPos="28" EndPos="30" width="3" RecSegNo="1"/>
      <labl>
        Person number
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database.
      </txt>
      <codInstr>
        PERNUM is a 3-digit numeric variable.
      </codInstr>
      <concept vocab="IPUMS">
        Technical Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V49" name="MOMLOC" files="F2" dcml="0" intrvl="contin">
      <location StartPos="40" EndPos="42" width="3" RecSegNo="1"/>
      <labl>
        Mother's location in household
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM).  MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers.  

The method by which probable child-mother links are identified is described in PARRULE.

The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly.

Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships.]]>
      </txt>
      <codInstr>
        <![CDATA[MOMLOC is a 3-digit numeric variable.

		
0 = No mother of this person present in the household.
1 or higher = The person number of this person's mother]]>
      </codInstr>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V50" name="POPLOC" files="F2" dcml="0" intrvl="contin">
      <location StartPos="43" EndPos="45" width="3" RecSegNo="1"/>
      <labl>
        Father's location in household
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM).  POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers.  

The method by which probable child-father links are identified is described in PARRULE.

The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly.

Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships.]]>
      </txt>
      <codInstr>
        <![CDATA[POPLOC is a 3-digit numeric variable.

		
0 = No father of this person present in the household.
1 or higher = The person number of this person's father]]>
      </codInstr>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V51" name="SPLOC" files="F2" dcml="0" intrvl="contin">
      <location StartPos="46" EndPos="48" width="3" RecSegNo="1"/>
      <labl>
        Spouse's location in household
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse.  SPLOC makes it easy for researchers to link the characteristics of (probable) spouses.  

The method by which probable spouse-spouse links are identified is described in SPRULE.

The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly.]]>
      </txt>
      <codInstr>
        <![CDATA[SPLOC is a 3-digit numeric variable.

		
0 = No spouse of this person present in the household.
1 or higher = The person number of this person's spouse]]>
      </codInstr>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V52" name="PARRULE" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="49" EndPos="50" width="2" RecSegNo="1"/>
      <labl>
        Rule for linking parent
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="52"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PARRULE describes the criteria by which the IPUMS-International variables MOMLOC and POPLOC linked the person to a probable mother and/or father. 

IPUMS-International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC.

The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No parent of person in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Link to head or spouse, unambiguous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Link to head or spouse, ambiguous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Child-Grandchild, within empirical child cap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Child-Grandchild, within constructed child cap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Child-Grandchild, exceeds child cap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Specified Other Relatives, within empirical child cap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Specified Other Relatives, within constructed child cap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Specified Other Relatives, exceeds child cap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Other Relatives, within empirical child cap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Other Relatives, within constructed child cap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Non-Relatives, within empirical child cap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Non-Relatives, within constructed child cap
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V53" name="SPRULE" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="51" EndPos="52" width="2" RecSegNo="1"/>
      <labl>
        Rule for linking spouse
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="6"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse. 

IPUMS-International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question.  A sixth rule identifies sample-specific linking procedures only imposed in selected instances.

The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No spouse present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rule 1: strong relationship pairing, couple adjacent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Rule 2: strong relationship pairing, couple not adjacent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Rule 3: weak relationship pairing, couple adjacent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Rule 4: weak relationship pairing, couple not adjacent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Rule 5: weak consensual union pairings
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Rule 6: sample-specific rules (usually child-to-child)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V54" name="STEPMOM" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="53" EndPos="53" width="1" RecSegNo="1"/>
      <labl>
        Probable stepmother
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="6"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household.
 
The codes for STEPMOM are as follows:

0 = Biological mother or no mother of this person present in household.  
1 = Mother has no children borne or surviving.
2 = Child reports mother is deceased.
3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law). 
4 = Mother reports no children in the home.
5 = Age difference between mother and child was less than 12 or greater than 54 years.
6 = Child exceeds known fertility of mother.

See PARRULE for a description of the linking process.

Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Biological mother or no mother present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Mother has no children borne or surviving
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Child reports mother is deceased
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Explicitly identified step relationship
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Mother reports no children in the home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Age difference implausible
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Child exceeds known fertility of mother
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V55" name="STEPPOP" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="54" EndPos="54" width="1" RecSegNo="1"/>
      <labl>
        Probable stepfather
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="3"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[STEPPOP indicates whether a person's father, as identified by  POPLOC , was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household.
 
The codes for STEPPOP are as follows:

0 = Biological father or no father of this person present in household.  
1 = Child reports father is deceased.
2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law). 
3 = Age difference between father and child was less than 12 or greater than 54 years.

See PARRULE for a description of the linking process.

Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Biological father or no father present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Child reports father is deceased
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Explicitly identified step relationship
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Age difference implausible
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V56" name="POLYMAL" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="55" EndPos="55" width="1" RecSegNo="1"/>
      <labl>
        Man with more than one wife linked
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household.  

The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy.  Some statistical matching procedures expect to find only one matching record for each subject record.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No more than one wife linked via SPLOC
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          More than one wife linked via SPLOC
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V57" name="POLY2ND" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="56" EndPos="56" width="1" RecSegNo="1"/>
      <labl>
        Woman is second or higher order wife
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household.  The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated.

The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy.  Some statistical matching procedures expect to find only one matching record for each subject record.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Person is not the 2nd or higher order wife linked via SPLOC
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Person is the 2nd or higher order wife linked via SPLOC
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V58" name="FAMUNIT" files="F2" dcml="0" intrvl="contin">
      <location StartPos="57" EndPos="58" width="2" RecSegNo="1"/>
      <labl>
        Family unit membership
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FAMUNIT is a constructed variable indicating to which family within the household a person belongs. 

All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father).]]>
      </txt>
      <codInstr>
        <![CDATA[FAMUNIT is a 2-digit numeric variable.

		
If there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on.]]>
      </codInstr>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V59" name="FAMSIZE" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="59" EndPos="60" width="2" RecSegNo="1"/>
      <labl>
        Number of own family members in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself.  These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them.

FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membebership).  The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 family member present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 family members present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 family members present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          99 or more persons
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V60" name="NCHILD" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="61" EndPos="61" width="1" RecSegNo="1"/>
      <labl>
        Number of own children in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 or more children in household
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V61" name="NCHLT5" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="62" EndPos="62" width="1" RecSegNo="1"/>
      <labl>
        Number of own children under age 5 in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 or more own children under age 5 in household
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V62" name="ELDCH" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="63" EndPos="64" width="2" RecSegNo="1"/>
      <labl>
        Age of eldest own child in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 

ELDCH is top-coded at age 50 or older.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50 or older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          No own child in household
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V63" name="YNGCH" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="65" EndPos="66" width="2" RecSegNo="1"/>
      <labl>
        Age of youngest own child in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 

YNGCH is top-coded at age 50 or older.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50 or older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          No own child in household
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Constructed Family Interrelationship Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V64" name="RELATE" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="67" EndPos="67" width="1" RecSegNo="1"/>
      <labl>
        Relationship to household head [general version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Head
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Spouse/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Other relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Non-relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other relative or non-relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V65" name="RELATED" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="68" EndPos="71" width="4" RecSegNo="1"/>
      <labl>
        Relationship to household head [detailed version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person).
      </txt>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          Head
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          Spouse/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Unmarried partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Same-sex spouse/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          Child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          Biological child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          Adopted child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Stepchild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3400
        </catValu>
        <labl>
          Child/child-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3500
        </catValu>
        <labl>
          Child/child-in-law/grandchild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3600
        </catValu>
        <labl>
          Child of unmarried partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          Other relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          Grandchild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4110
        </catValu>
        <labl>
          Grandchild or great grandchild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4120
        </catValu>
        <labl>
          Great grandchild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4130
        </catValu>
        <labl>
          Great-great grandchild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4200
        </catValu>
        <labl>
          Parent/parent-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4210
        </catValu>
        <labl>
          Parent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4211
        </catValu>
        <labl>
          Stepparent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4220
        </catValu>
        <labl>
          Parent-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4300
        </catValu>
        <labl>
          Child-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4301
        </catValu>
        <labl>
          Daughter-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4302
        </catValu>
        <labl>
          Spouse/partner of child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4310
        </catValu>
        <labl>
          Unmarried partner of child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4400
        </catValu>
        <labl>
          Sibling/sibling-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4410
        </catValu>
        <labl>
          Sibling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4420
        </catValu>
        <labl>
          Stepsibling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4430
        </catValu>
        <labl>
          Sibling-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4431
        </catValu>
        <labl>
          Sibling of spouse/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4432
        </catValu>
        <labl>
          Spouse/partner of sibling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4500
        </catValu>
        <labl>
          Grandparent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4510
        </catValu>
        <labl>
          Great grandparent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4600
        </catValu>
        <labl>
          Parent/grandparent/ascendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4700
        </catValu>
        <labl>
          Aunt/uncle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4800
        </catValu>
        <labl>
          Other specified relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4810
        </catValu>
        <labl>
          Nephew/niece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4820
        </catValu>
        <labl>
          Cousin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4830
        </catValu>
        <labl>
          Sibling of sibling-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4900
        </catValu>
        <labl>
          Other relative, not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4910
        </catValu>
        <labl>
          Other relative with same family name
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4920
        </catValu>
        <labl>
          Other relative with different family name
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4930
        </catValu>
        <labl>
          Other relative, not specified (secondary family)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          Non-relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5100
        </catValu>
        <labl>
          Friend/guest/visitor/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5110
        </catValu>
        <labl>
          Partner/friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5111
        </catValu>
        <labl>
          Friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5112
        </catValu>
        <labl>
          Partner/roommate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5113
        </catValu>
        <labl>
          Housemate/roommate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5120
        </catValu>
        <labl>
          Visitor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5130
        </catValu>
        <labl>
          Ex-spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5140
        </catValu>
        <labl>
          Godparent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5150
        </catValu>
        <labl>
          Godchild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5200
        </catValu>
        <labl>
          Employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5210
        </catValu>
        <labl>
          Domestic employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5220
        </catValu>
        <labl>
          Relative of employee, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5221
        </catValu>
        <labl>
          Spouse of servant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5222
        </catValu>
        <labl>
          Child of servant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5223
        </catValu>
        <labl>
          Other relative of servant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5300
        </catValu>
        <labl>
          Roomer/boarder/lodger/foster child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5310
        </catValu>
        <labl>
          Boarder
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5311
        </catValu>
        <labl>
          Boarder or guest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5320
        </catValu>
        <labl>
          Lodger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5330
        </catValu>
        <labl>
          Foster child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5340
        </catValu>
        <labl>
          Tutored/foster child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5350
        </catValu>
        <labl>
          Tutored child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5400
        </catValu>
        <labl>
          Employee, boarder or guest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5500
        </catValu>
        <labl>
          Other specified non-relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5510
        </catValu>
        <labl>
          Agregado
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5520
        </catValu>
        <labl>
          Temporary resident, guest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5600
        </catValu>
        <labl>
          Group quarters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5610
        </catValu>
        <labl>
          Group quarters, non-inmates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5620
        </catValu>
        <labl>
          Institutional inmates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5900
        </catValu>
        <labl>
          Non-relative, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6000
        </catValu>
        <labl>
          Other relative or non-relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V66" name="AGE" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="72" EndPos="74" width="3" RecSegNo="1"/>
      <labl>
        Age
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AGE gives age in years as of the person's last birthday prior to or on the day of enumeration.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          99
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          100+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not reported/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V67" name="AGE2" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="75" EndPos="76" width="2" RecSegNo="1"/>
      <labl>
        Age, grouped into intervals
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AGE2 gives computed years of age grouped into intervals.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          0 to 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          5 to 9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          10 to 14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          15 to 19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          15 to 17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          18 to 19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          18 to 24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          20 to 24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          25 to 29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          30 to 34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          35 to 39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          40 to 44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          45 to 49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          50 to 54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          55 to 59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          60 to 64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          65 to 69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          70 to 74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          75 to 79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          80+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V68" name="SEX" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="77" EndPos="77" width="1" RecSegNo="1"/>
      <labl>
        Sex
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SEX reports the sex (gender) of the respondent.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V69" name="MARST" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="78" EndPos="78" width="1" RecSegNo="1"/>
      <labl>
        Marital status [general version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[[program universe for et,mz samples.

MARST describes the person's current marital status according to law or custom.  Individuals who remarried should report the status relevant to their most recent marriage.  Census instructions rarely explicitly limit marital status to strictly legal unions.

Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Single/never married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married/in union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Separated/divorced/spouse absent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Widowed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V70" name="MARSTD" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="79" EndPos="81" width="3" RecSegNo="1"/>
      <labl>
        Marital status [detailed version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[[program universe for et,mz samples.

MARST describes the person's current marital status according to law or custom.  Individuals who remarried should report the status relevant to their most recent marriage.  Census instructions rarely explicitly limit marital status to strictly legal unions.

Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Single/never married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Engaged
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Never married and never cohabited
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Married or consensual union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Married, formally
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Married, civil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Married, religious
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Married, civil and religious
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Married, civil or religious
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          Married, traditional/customary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          Married, monogamous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          Married, polygamous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Consensual union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Separated/divorced/spouse absent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Separated or divorced
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Separated or annulled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Separated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Separated legally
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Separated de facto
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Separated from marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          Separated from consensual union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          Separated from consensual union or marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Annulled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Divorced
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Married, spouse absent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Widowed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Widowed or divorced
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          Widowed from consensual union or marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          Widowed from marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          Widowed from consensual union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Widowed, divorced, or separated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V71" name="CONSENS" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="82" EndPos="82" width="1" RecSegNo="1"/>
      <labl>
        Consensual union
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONSENS indicates whether the respondent was in a consensual union -- a de facto marriage.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, in consensual union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No, married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V72" name="SUBFREL" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="83" EndPos="86" width="4" RecSegNo="1"/>
      <labl>
        Relationship to head of subfamily
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SUBFREL describes the relationship of the individual to the head of the subfamily (in most cases, conjugal unit).  It is distinct from RELATE, which identifies a person's relationship to the head of the household.  There can be multiple subfamilies within households.  The particular subfamily to which a person belongs is recorded in SUBFNUM.

Persons living alone without other family are identified as "heads" of family.]]>
      </txt>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          Head
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          Spouse/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Unmarried partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          Child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          Biological child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          Adopted or step child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          Other relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          Grandchild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4200
        </catValu>
        <labl>
          Parent/parent-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4210
        </catValu>
        <labl>
          Parent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4220
        </catValu>
        <labl>
          Parent-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4300
        </catValu>
        <labl>
          Child-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4400
        </catValu>
        <labl>
          Sibling/sibling-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4410
        </catValu>
        <labl>
          Sibling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4430
        </catValu>
        <labl>
          Sibling-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4500
        </catValu>
        <labl>
          Grandparent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4600
        </catValu>
        <labl>
          Parent/grandparent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4810
        </catValu>
        <labl>
          Nephew/niece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4900
        </catValu>
        <labl>
          Other relative, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          Non-relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5120
        </catValu>
        <labl>
          Visitor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5210
        </catValu>
        <labl>
          Domestic employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5220
        </catValu>
        <labl>
          Relative of employee, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5300
        </catValu>
        <labl>
          Roomer/boarder/lodger/foster child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5310
        </catValu>
        <labl>
          Boarder
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5311
        </catValu>
        <labl>
          Boarder or guest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5400
        </catValu>
        <labl>
          Employee, boarder or guest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5510
        </catValu>
        <labl>
          Agregado
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5600
        </catValu>
        <labl>
          Group quarters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6000
        </catValu>
        <labl>
          Other relative or non-relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V73" name="SUBFNUM" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="87" EndPos="89" width="3" RecSegNo="1"/>
      <labl>
        Subfamily membership number
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="13"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SUBFNUM gives the number of the subfamily to which the person belongs within the household (1 = first subfamily, 2 = second subfamily, etc.).  SUBFNUM records the identification of subfamilies in the original dataset, which generally correspond to conjugal units and their offspring.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Non-family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1st subfamily
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2nd subfamily
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3rd subfamily
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4th subfamily
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5th subfamily
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6th subfamily
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7th subfamily
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8th subfamily
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9th subfamily
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10th subfamily
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11th subfamily
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12th subfamily
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13th subfamily
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V74" name="CHBORN" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="90" EndPos="91" width="2" RecSegNo="1"/>
      <labl>
        Children ever born
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V75" name="CHSURV" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="92" EndPos="93" width="2" RecSegNo="1"/>
      <labl>
        Children surviving
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CHSURV reports the number of children born to a woman who were still living at the time of the census.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V76" name="BPLBR" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="100" EndPos="101" width="2" RecSegNo="1"/>
      <labl>
        State of birth, Brazil
      </labl>
      <valrng>
        <range UNITS="REAL" min="11" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BPLBR indicates the person's state of birth within Brazil.
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Rondônia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Acre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Amazonas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Roraima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Pará
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Amapá
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Tocantins
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Maranhão
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Piauí
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Ceará
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Rio Grande Do Norte
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Paraíba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Pernambuco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Alagoas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Sergipe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Bahia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Minas Gerais
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Espirito Santo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Estado Do Rio
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Guanabara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          São Paulo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Serra Dos Aimorés
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Paraná
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Santa Catarina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Rio Grande Do Sul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Mato Grosso do Sul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Mato Grosso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Goiás
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Brasília (D.F.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Fernando De Noronha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Rio Branco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Brazil, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nativity and Birthplace Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V77" name="RACE" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="107" EndPos="108" width="2" RecSegNo="1"/>
      <labl>
        Race or color
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Race identifies the racial group with which a person identified himself or herself, or to which an enumerator assigned them. Determinations of race are based largely on appearance or ancestral place of origin.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          White
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Black
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Black African
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Black Caribbean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Afro-Ecuadorian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Other Black
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Indigenous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          American Indian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Asian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Chinese
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Japanese
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Korean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Vietnamese
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Filipino
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Indian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Pakistani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Bangladeshi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Other Asian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Mixed race
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Brown (Brazil)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Mestizo (Indigenous and White)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Mulatto (Black and White)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Coloured (South Africa)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Two or more races
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Montubio (Ecuador)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and Language Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V78" name="INDIG" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="109" EndPos="109" width="1" RecSegNo="1"/>
      <labl>
        Member of an indigenous group
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        INDIG indicates whether the person belonged to an indigenous group.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and Language Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V79" name="SCHOOL" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="110" EndPos="110" width="1" RecSegNo="1"/>
      <labl>
        School attendance
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No, attended in the past
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          No, never attended
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V80" name="LIT" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="111" EndPos="111" width="1" RecSegNo="1"/>
      <labl>
        Literacy
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        LIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No, illiterate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes, literate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V81" name="EDUCBR" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="118" EndPos="121" width="4" RecSegNo="1"/>
      <labl>
        Educational attainment, Brazil
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9000"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        EDUCBR usually indicates the person's educational attainment in terms of the amount of schooling completed -- both the level (for example, primary, secondary, or higher education) and typically the number of years or grades completed at that level. For some classifications, the variable indicates the level or grade that the person is currently attending; all such classifications are explicitly indicated in the code labels for EDUCBR.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None, or never attended school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          Less than primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Attending day-care center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Attending pre-school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Attending child literacy course
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1400
        </catValu>
        <labl>
          Attending adult literacy course
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1500
        </catValu>
        <labl>
          Attended adult literacy course
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1600
        </catValu>
        <labl>
          Attended day-care center, pre-school, or child literacy course
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1700
        </catValu>
        <labl>
          Attending first grade of primary school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          Primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Primary 1-4 (new system) or elementary (old system)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Primary 1-4 or elementary, grade 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Primary 1-4 or elementary, grade 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          Primary 1-4 or elementary, grade 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2140
        </catValu>
        <labl>
          Primary 1-4 or elementary, grade 4+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2141
        </catValu>
        <labl>
          Primary 1-4 or elementary, grade 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2142
        </catValu>
        <labl>
          Primary 1-4 or elementary, grade 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2143
        </catValu>
        <labl>
          Primary 1-4 or elementary, grade 6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2144
        </catValu>
        <labl>
          Primary 1-4 or elementary, grade 5 or 6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2190
        </catValu>
        <labl>
          Primary 1-4 or elementary, grade unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2191
        </catValu>
        <labl>
          Primary 1-4 or elementary, admission course
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2192
        </catValu>
        <labl>
          Primary 1-4 or elementary, adult literacy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Primary 5-8 (new system) or middle school (old system)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Primary 5-8 or middle, grade 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Primary 5-8 or middle, grade 6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2230
        </catValu>
        <labl>
          Primary 5-8 or middle, grade 7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2240
        </catValu>
        <labl>
          Primary 5-8 or middle, grade 8+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2241
        </catValu>
        <labl>
          Primary 5-8 or middle, grade 8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2242
        </catValu>
        <labl>
          Primary 5-8 or middle, grade 9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2243
        </catValu>
        <labl>
          Primary 5-8 or middle, grade 9 or 10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2290
        </catValu>
        <labl>
          Primary 5-8 or middle, grade unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2291
        </catValu>
        <labl>
          Primary 5-8 or middle, article 99 course
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2900
        </catValu>
        <labl>
          Primary, grade unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          Secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          Secondary, grade 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          Secondary, grade 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Secondary, grade 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3400
        </catValu>
        <labl>
          Secondary, grade 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3900
        </catValu>
        <labl>
          Secondary, grade unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3910
        </catValu>
        <labl>
          Secondary, admission course
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3920
        </catValu>
        <labl>
          Secondary, article 99 course
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          Higher education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          Undergraduate program
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4110
        </catValu>
        <labl>
          Higher education, undergraduate, grade 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4120
        </catValu>
        <labl>
          Higher education, undergraduate, grade 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4130
        </catValu>
        <labl>
          Higher education, undergraduate, grade 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4140
        </catValu>
        <labl>
          Higher education, undergraduate, grade 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4150
        </catValu>
        <labl>
          Higher education, undergraduate, grade 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4160
        </catValu>
        <labl>
          Higher education, undergraduate, grade 6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4170
        </catValu>
        <labl>
          Attending
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4180
        </catValu>
        <labl>
          Attended
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4190
        </catValu>
        <labl>
          Completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4200
        </catValu>
        <labl>
          Graduate program
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4210
        </catValu>
        <labl>
          Masters or doctorate, attending
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4220
        </catValu>
        <labl>
          Masters or doctorate, attended
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4230
        </catValu>
        <labl>
          Masters, attending
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4240
        </catValu>
        <labl>
          Masters, attended
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4250
        </catValu>
        <labl>
          Doctorate, attending
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4260
        </catValu>
        <labl>
          Doctorate, attended
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4270
        </catValu>
        <labl>
          Postgraduate specialization, attending
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4280
        </catValu>
        <labl>
          Postgraduate specialization, attended
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4300
        </catValu>
        <labl>
          Undergraduate or graduate program unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4310
        </catValu>
        <labl>
          Higher education, grade 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4320
        </catValu>
        <labl>
          Higher education, grade 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4330
        </catValu>
        <labl>
          Higher education, grade 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4340
        </catValu>
        <labl>
          Higher education, grade 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4350
        </catValu>
        <labl>
          Higher education, grade 5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4360
        </catValu>
        <labl>
          Higher education, grade 6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4370
        </catValu>
        <labl>
          Higher education, grade 5 or 6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4900
        </catValu>
        <labl>
          Higher education, grade unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8000
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9000
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V82" name="EMPSTAT" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="122" EndPos="122" width="1" RecSegNo="1"/>
      <labl>
        Activity status (employment status) [general version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information.

The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others.

Employment status is sometimes referred to in other sources as "activity status".]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Inactive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V83" name="EMPSTATD" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="123" EndPos="125" width="3" RecSegNo="1"/>
      <labl>
        Activity status (employment status) [detailed version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information.

The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others.

Employment status is sometimes referred to in other sources as "activity status".]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          At work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          At work, and 'student'
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          At work, and 'housework'
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          At work, and 'seeking work'
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          At work, and 'retired'
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          At work, and 'no work'
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          At work, and other situation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          At work, family holding, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          At work, family holding, not agricultural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          At work, family holding, agricultural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Have job, not at work in reference period
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Armed forces
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Armed forces, at work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Armed forces, not at work in reference period
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Military trainee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Marginally employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Unemployed, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Unemployed 6 or more months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Worked fewer than 6 months, permanent job
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Worked fewer than 6 months, temporary job
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed, experienced worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed, new worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          No work available
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Inactive unemployed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Inactive (not in labor force)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Housework
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Unable to work/disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Permanent disability
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Temporary illness
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Disabled or imprisoned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          In school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Retirees and living on rent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Living on rents
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Living on rents or pension
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Retirees/pensioners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          Retired
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          Pensioner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          Non-retirement pension
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          Disability pension
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          Retired without benefits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Elderly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Elderly or disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Institutionalized
        </labl>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          Prisoner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Intermittent worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          Not working, seasonal worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Not working, occasional worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Other income recipient
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          Inactive, other reasons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          Too young to work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          Dependent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V84" name="OCCISCO" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="126" EndPos="127" width="2" RecSegNo="1"/>
      <labl>
        Occupation, ISCO general
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Service workers and shop and market sales
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Crafts and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Plant and machine operators and assemblers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Elementary occupations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Armed forces
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Other occupations, unspecified or n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Response suppressed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V85" name="OCC" files="F2" dcml="0" intrvl="contin">
      <location StartPos="128" EndPos="131" width="4" RecSegNo="1"/>
      <labl>
        Occupation, unrecoded
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census.

To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses.]]>
      </txt>
      <codInstr>
        <![CDATA[OCC is a 4-digit numeric variable.

Some samples use fewer than 4 digits.  In those cases, the data are right-justified, and the extra leading digits are padded with zeroes.

		
Please see the codes for: BR1960A_0423]]>
      </codInstr>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V86" name="INDGEN" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="132" EndPos="134" width="3" RecSegNo="1"/>
      <labl>
        Industry, general recode
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples.

"Industry" refers to the activity or product of the establishment or sector in which a person worked.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture, fishing, and forestry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas and water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Wholesale and retail trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Transportation and communications
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Financial services and insurance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Public administration and defense
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Services, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Real estate and business services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Health and social work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Other services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Private household services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Other industry, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Response suppressed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V87" name="IND" files="F2" dcml="0" intrvl="contin">
      <location StartPos="135" EndPos="139" width="5" RecSegNo="1"/>
      <labl>
        Industry, unrecoded
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        "Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International.
      </txt>
      <codInstr>
        <![CDATA[IND is a 5-digit numeric variable.

Some samples use fewer than 5 digits.  In those cases, the data are right-justified, and the extra leading digits are padded with zeroes.

		
Please see the codes for: BR1960A_0425]]>
      </codInstr>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V88" name="CLASSWK" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="140" EndPos="140" width="1" RecSegNo="1"/>
      <labl>
        Status in employment (class of worker) [general version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. 

Class of worker is often referred to as "status in employment" in other sources.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Self-employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Wage/salary worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Unpaid worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V89" name="CLASSWKD" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="141" EndPos="143" width="3" RecSegNo="1"/>
      <labl>
        Status in employment (class of worker) [detailed version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. 

Class of worker is often referred to as "status in employment" in other sources.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Self-employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Self-employed, unincorporated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Self-employed, incorporated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Sharecropper, employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Working on own account
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Own account, agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Domestic worker, self-employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Subsistence worker, own consumption
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Own account, other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          Own account, without temporary/unpaid help
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          Own account, with temporary/unpaid help
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Member of cooperative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Sharecropper
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Sharecropper, self-employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Sharecropper, employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Kibbutz member
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Wage/salary worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Management
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Non-management
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          White collar (non-manual)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Blue collar (manual)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          White and blue collar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          Day laborer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          Employee, with a permanent job
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Employee, occasional, temporary, contract
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          Employee without legal contract
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Wage/salary worker, private employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Apprentice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Religious worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Wage/salary worker, non-profit, NGO
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          White collar, private
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          Blue collar, private
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          Paid family worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          Cooperative employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Wage/salary worker, government
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Federal, government employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          State government employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Local government employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          White collar, public
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          Blue collar, public
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Public companies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          Civil servants, local collectives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Domestic worker (work for private household)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Seasonal migrant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Seasonal migrant, no broker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Seasonal migrant, uses broker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          Other wage and salary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Canal zone/commission employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Government employment/training program
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          Mixed state/private enterprise/parastatal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          Government public work program
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Unpaid worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Unpaid family worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Apprentice, unpaid or unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Trainee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Apprentice or trainee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Works for others without wage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V90" name="INCTBR" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="144" EndPos="144" width="1" RecSegNo="1"/>
      <labl>
        Total income, Brazil 1960
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        INCTBR reports the person's total personal income from all sources for the previous month, with values expressed as broad income ranges.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No income
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 to 2,100
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2,101 to 3,300
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3,301 to 4,500
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4,501 to 6,000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          6,001 to 10,000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          10,001 to 20,000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          20,001 to 50,000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          50,001 or over
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe) and unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Income Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V91" name="MIGBR1" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="152" EndPos="153" width="2" RecSegNo="1"/>
      <labl>
        State of previous residence, Brazil
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MIGBR1 indicates the person's state of previous residence within Brazil.  Persons who never migrated from their state of birth are coded N/A (not applicable).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Rondônia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Acre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Amazonas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Roraima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Pará
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Amapá
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Tocantins
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Maranhão
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Piauí
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Ceará
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Rio Grande Do Norte
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Paraíba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Pernambuco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Alagoas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Sergipe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Bahia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Minas Gerais
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Espirito Santo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Estado Do Rio
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Guanabara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          São Paulo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Serra Dos Aimorés
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Paraná
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Santa Catarina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Rio Grande Do Sul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Mato Grosso do Sul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Mato Grosso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Goiás
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Brasília (D.F.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Fernando De Noronha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Rio Branco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Brazil, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V92" name="RESIDENT" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="39" EndPos="39" width="1" RecSegNo="1"/>
      <labl>
        Residence status: de facto, de jure
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RESIDENT identifies whether an enumerated person is a household resident or a visitor and whether she or he was present at the time of enumeration. This variable is available only in samples that enumerated both de facto and de jure residents.  It can be used to eliminate the double-counting of persons who were enumerated both at their permanent residence and at the residence they were visiting on census night. 

De jure population: present residents and absent residents.

De facto population: present residents and visitors/non-residents.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Present resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Absent resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Visitor/non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          De facto population (present persons)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Technical Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V93" name="BR1960A_0400" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="156" EndPos="157" width="2" RecSegNo="1"/>
      <labl>
        Person number
      </labl>
      <qstn>
        <qstnLit>
          Person number
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="49"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable numbers all persons within each household consecutively (starting with "1" for the first person record of each household).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Technical Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V94" name="BR1960A_0402" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="158" EndPos="158" width="1" RecSegNo="1"/>
      <labl>
        Sex
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

B. Condition of presence in the household on the date of the census and sex


Resident present:


[] 1 male
[] 2 female


Resident absent:


[] 3 male
[] 4 female


Nonresident present:


[] 5 male
[] 6 female]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question B - Condition of presence in the dwelling on the date of the Census, and Sex

The field corresponding to the following cases, by sex, should be marked with an X:


Present resident - For persons who are residents of the dwelling and were present in it on the date of the Census;

Absent resident - For persons who are residents of the dwelling and were temporarily absent from it on the date of the Census, such as:



a) Persons away on leisure or business;
b) Students at boarding schools or living in boarding houses, homes of relatives, etc.;
c) Those temporarily committed to sanatoriums, hospitals or other similar establishments;
d) Persons imprisoned but with legal proceedings still in progress, without final sentence;
e) Sailors at sea.



The persons specified above will be included as present nonresident where they are located on the date of the Census.
Members of the family group should not be included when they are in the places mentioned below, in which case they should be enumerated as present residents of the places where they are on the date of census.



a) Those permanently committed to sanatoriums, asylums or other similar establishments;
b) Those imprisoned and serving sentence;
c) Those who, due to their occupation, employment or other reason, must sleep away from home, such as soldiers at military bases, nurses living in hospitals, domestic employees living at employers' homes, etc.;
d) Workers, generally Northeasterners, who immigrate to the south in search of work on farms or in civil construction.



Present nonresident - For persons who are not residents of the dwelling but who are temporarily present in it on the date of the Census.
It should be noted that persons absent from their dwelling on the date of the Census will be enumerated twice: once at their usual dwelling, as Absent residents, and again as Non-residents present at [p. 26] the dwelling where they spent the night of August 31 to September 1. The National Census Service will eliminate the double enumeration when the calculations are processed. This information is essential, not only as an element of criticism and control, but also for special studies.
Two situations are exceptions to the criterion adopted: family groups that have two dwellings, one of which serves as occasional residence (summer home, country house, etc.), in which case the family group will be enumerated in only one of the dwellings, and those that own two residences, part of the family group living in one dwelling and part in another (as is frequent among ranchers who have younger children studying in the city), who will be enumerated pursuant to the following criteria:



a) All the members of this family group will be enumerated at the dwelling where the majority of the members are present on the date of the Census, and each one will be recorded in Question B as either a present resident or an absent resident;

b) At the dwelling where the minority of the family group are present, only the persons present on the date of the Census will be enumerated, recording each of them in Question B as present nonresident.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="6"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the gender of the respondent and whether respondent is present or absent as a resident in the household.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Male absent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Female absent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Non-resident male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident female
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V95" name="BR1960A_0403" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="159" EndPos="160" width="2" RecSegNo="1"/>
      <labl>
        Relationship to head of household
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

C. Family relationship or relationship with head of household


[] 7 head
[] 8 spouse
[] 9 child or stepchild
[] 10 grandchild
[] 11 parents and in-laws
[] 12 other relatives
[] 13 person who has permanent residence in the domicile, without
being a relative, boarder or employee [agregado]
[] 14 boarder or employee]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question C - Kinship or relationship with the Head of the family

The relationship existing in the dwelling between the person enumerated and the Head of the family should be indicated.
The following should be considered in the response to this question:

Head - The person responsible for the household;
Spouse - The person who lives maritally with the Head of the family, whether or not there is a formal matrimonial bond;
Child or stepchild - including adopted children, except for non-officially adopted children.
Grandchild - including great-grandchild and great-great-grandchild;
Parents and parents-in-law - including stepmothers and stepfathers;
Other relatives - grandparents, great-grandparents, sisters-in-law and brothers-in law, siblings' spouses, sons-in-law and daughters-in-law, siblings, cousins, nephews and nieces, uncles and aunts, etc.;
Agregado - a person who has permanent residence in the household, without being a relative, boarder or employee;
Guest - a person, relative or not of the family, who, not having permanent residence in the household, is temporarily present there without paying for lodgings, or a person who, without being a relative, has permanent residence in the household and pays for lodgings;


[p. 27]


Employee - a person who provides remunerated services to the residents of the household and who sleeps there regularly, such as a cook, nanny, chambermaid, governess, gardener, butler, driver, etc.
In collective dwellings, the last box must always be marked for non-related persons [pessoas avulsas] (enumerated on individual census forms) (14 - Guest or employee).]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the relationship of the individual to the head of household (sometimes called the householder or reference person).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Head
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Child or stepchild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Grandchild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Parents and parents-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other relatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Aggregate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Guest or employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Individual bulletin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V96" name="BR1960A_0404" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="161" EndPos="163" width="3" RecSegNo="1"/>
      <labl>
        Age in months/years
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

D. Age (if over 1 year, note years completed; if less than 1, note months completed)


If less than 1 year, mark here: ___ 0
____ years
____ months]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question D - Age

For persons age 1 or over, the age in years will be recorded in full (on the dotted line ____ years).
When the person being enumerated is under the age of 1, the enumerator will make two entries: an X in box 0 (zero) and the full age in months (on the dotted line ____ months); in the case of children who are not yet one month old, the box 0 (zero) marked and recorded 00 on the dotted line (____ months).
It should be noted that people's ages can always be obtained with relative precision. Thus, only in exceptional cases will the response unknown be acceptable.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the age of the person's last birthday prior to or on the day of enumeration.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          51 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          52 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          53 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          54 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          55 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          56 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          57 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          58 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          59 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          61 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          62 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          63 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          64 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          65 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          66 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          67 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          68 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          69 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          71 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          72 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          73 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          74 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          75 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          76 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          77 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          78 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          79 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          81 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          82 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          83 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          84 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          85 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          86 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          87 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          88 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          89 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          91 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          92 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          93 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          94 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          95 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          96 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          97 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          98 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          99 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          100 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          101 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          102 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          103 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          104 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          105 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          506
        </catValu>
        <labl>
          106 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          507
        </catValu>
        <labl>
          107 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508
        </catValu>
        <labl>
          108 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          509
        </catValu>
        <labl>
          109 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          110 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          111 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          112 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          113 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          114 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl>
          115 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          116 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          517
        </catValu>
        <labl>
          117 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          120 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V97" name="BR1960A_0405" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="164" EndPos="165" width="2" RecSegNo="1"/>
      <labl>
        Religion
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

E. Religion


[] 15 Roman Catholic
[] 16 Protestant
[] 17 Spiritist
[] 18 Buddhist
[] 19 Jewish
[] 20 Orthodox
[] 21 Mohammedan
[] 22 Other
[] 23 No religion]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question E - Religion

The box corresponding to the religion professed by the respondent must be marked with an X.
In certain cases the enumerator should comply with the following orientation:

Roman Catholic - those who declare that they are Roman Catholic Apostolic, Christian Catholic, Roman Catholic, or merely Catholic;
Protestant - Those who declare they belong to an Evangelical or Protestant church (Baptist, Biblical, Calvinist, Lutheran Catholic, Protestant Catholic, Christian Congregation of Brazil, Congregational, Brazilian Baptist Convention, Evangelical Believer, Congregational Christian, Christian, Reformed Christian, Episcopal, Sunday School, Church of God, Lutheran, Methodist, Presbyterian, etc.)
Spiritist - those who state Spiritist, Christian Spiritualist, Spiritualist, Kardecist, Umbandist, Rational Spirit and Scientific Spiritist, etc.;
Jewish - those who state Israelite, Hebrew, Mosaic, Semitic, etc.;
Orthodox - those who state Orthodox, Greek Catholic, Orthodox Catholic, Schismatic, Greek Orthodox, etc;


[p. 28]


Mohammedan - those who state Mohammedan, Islamic, Muslim, etc.;
Other religion - those who say they belong to the Adventist, Brahmanist, Brazilian Catholic, Belief of Jehovah, Christianity, Dissident, Esoteric, Church of Jesus Christ of the Latter Day Saints, Krishnaism, Mormon, New Jerusalem, Positivist, Rosa Cruz, Sabbatarianist, Unitarian, Yoga, etc.;
No religion - those who state No Religion, Agnostic, Atheist, Lay, Free Thinker, Rationalist, etc.
It should be noted that this question should be answered even by minors. In cases of doubt by the respondent in defining the religion of the minors, the religion of the parents should be indicated, provided that the parents profess the same credo.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the person's religion.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Roman Catholic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Protestant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Spiritist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Buddhist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Jewish
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Orthodox
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Mohammedan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other religion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          No religion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and Language Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V98" name="BR1960A_0406" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="166" EndPos="166" width="1" RecSegNo="1"/>
      <labl>
        Race
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

F. Color (Indian [indigenous] only applies for people who live on reservations or Indigenous posts)


[] 24 white
[] 25 black
[] 26 yellow
[] 27 mixed [parda]
[] 28 Indian [indigenous]]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question F - Color

The box referring to the color of the person being enumerated should be marked with an X. The color Yellow applies only to persons of the yellow ethnic race (Japanese, Chinese, etc. and their descendants). It does not apply to persons who have yellowish skin, such as those who suffer from malaria, hookworm disease, etc.
Only those aborigines who live in native villages or reservations [posto indígena] should be indicated as "Indian." For aborigines who live outside native villages or reservations [postos indígenas], Box Number 27 (Brown) should be marked. Those who declare themselves mulattos, civilized Indians and mixed white-and-Indian] [cabloclos], mixed black and Indian [cafuzos], etc. should also be indicated for Box 27 (Brown).]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable identifies the racial group in which a person identified himself or herself. Determinations of race are based largely on appearance or ancestral place of origin.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          White
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Black
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Yellow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Brown (Parda)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Indigenous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and Language Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V99" name="BR1960A_0407" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="167" EndPos="168" width="2" RecSegNo="1"/>
      <labl>
        Place of birth
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

G. State or foreign country of birth (see codes; only write the name of the state or country if you don't find it in Code List 1)


____
____ code list 1]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question G - State or foreign country of birth

When taking the respondent's declaration, the enumerator will consult the list of codes found on the left-hand side of the questionnaire; for native-born Brazilians, the enumerator will record the digits corresponding to the State declared, and for naturalized Brazilians and foreigners the code of one of the foreign countries specified on the list. The enumerator will write the name of the country in full only when no corresponding code is listed.
Code 28 (Serra dos Aimorés) should be recorded for persons born in this area in litigation between the states of Minas Gerais and Espírito Santo.
When the declaration is the Federal District, the enumerator will ask the respondent if he or she is referring to the present Federal District (Brasilia) or to the former Federal District (the present State of Guanabara) and will enter the respective code.

[p. 29]

It should be noted that the term Rio de Janeiro is frequently declared. In this case, the enumerator should ascertain whether the respondent is referring to the state of Rio de Janeiro (Code 9) or the City of Rio de Janeiro (in the state of Guanabara - Code 12) and record as such.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the person's place of birth: state within Brazil or country if it is outside Brazil.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Acre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Alagoas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Amapá
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Amazonas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Bahia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Brasília (D.F.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Ceará
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Espirito Santo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Estado Do Rio
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Fernando De Noronha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Goiás
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Guanabara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Guaporé /Rondônia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Maranhão
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mato Grosso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Minas Gerais
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Pará
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Paraíba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Paraná
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Pernambuco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Piauí
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Rio Branco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Rio Grande Do Norte
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Rio Grande Do Sul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Santa Catarina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          São Paulo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Sergipe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Serra Dos Aimorés
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Brazil - Not Specif
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Azores
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Algeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Argentina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          U.R.S.S.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Australia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Austria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Belgium
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Bolivia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Bulgaria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Chile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Syria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Colombia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Korea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Costa Rica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Cuba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Denmark
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Egypt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Ecuador
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          United Kingdom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Yugoslavia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Spain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          United States
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Finland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          France
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Greece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Guatemala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          British Guiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          French Guiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Dutch Guiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Haiti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Netherlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Honduras
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          British Honduras
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Hungary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Iran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Iraq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Ireland (Eire)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Israel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Jamaica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          Japan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          Lebanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          Nicaragua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Norway
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Panama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Paraguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          Persia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          Peru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          Poland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          Portugal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Dominican Repub.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Romania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Salvador
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Sweden
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Switzerland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Czechoslovakia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Turkey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Uruguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Venezuela
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nativity and Birthplace Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V100" name="BR1960A_0408" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="169" EndPos="169" width="1" RecSegNo="1"/>
      <labl>
        Nationality
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

H. Nationality


[] 29 Brazilian native
[] 30 naturalized Brazilian
[] 31 foreigner]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question H - Nationality

The field corresponding to the response should be marked with an X in the following cases:

Native-born Brazilian - For those who were born in Brazil or for those who, having been born in a foreign country, were registered as Brazilians pursuant to Brazilian law;
Naturalized Brazilian - for those who, having been born in a foreign country, obtained Brazilian citizenship by means of a naturalization process or otherwise pursuant to Brazilian law;
Foreigner - for those who were born outside Brazil and are not naturalized Brazilians.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[This variable indicates the nationality of the person.  The Brazilian is distinguished between native-born and naturalized Brazilian.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Native-born Brazilian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Naturalized Brazilian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Foreigner
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nativity and Birthplace Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V101" name="BR1960A_0410" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="170" EndPos="170" width="1" RecSegNo="1"/>
      <labl>
        Origin
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Only for persons who were not born in this municipality
[Applies to questions I - J]




I. Number of years that you've lived in this municipality. If previously lived in a rural zone, also mark 0


[] 0
[] 32 less than 1 year
[] 33 1 year
[] 34 2 years
[] 35 3 years
[] 36 4 years
[] 37 5 years
[] 38 6-10 years
[] 39 11+ years]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Questions I and J

These questions will only be asked of persons who were not born in the municipality where they are residing on the date of the Census. For those born in the municipality of residence and for present nonresidents (response to Question B) the enumerator should not record anything.
It would be good to note that:

a) These questions will not be asked of persons who live in the same territory where they were born, even if this territory has since become a new municipality;
b) The questions will not be asked of persons who were born outside the municipality where their parents were living (maternity hospital, houses of relatives, etc.) and still reside in the same municipality.
c) Nor will the question be asked of persons who moved out and have since returned to live in the municipality where they were born.



Question I - Number of years living in the municipality

The number of full years that the person has lived in this municipality should be recorded. This length of time of residence will be as of the last date on which the respondent established residence in the municipality.
For those who previously resided in a rural area (village, ranch, farm, etc.), besides indicating the length of time of residence, the enumerator will record an X in Box 0 (zero). For all [p. 30] others (living previously in an urban or suburban area), the enumerator will only indicate the length of time of residence.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the person was born in the municipality where they are currently living. For those not born in the municipality where they are currently living, it indicates whether they were born in a rural area or an urban area.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Born in the municipality
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nativity and Birthplace Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V102" name="BR1960A_0411" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="171" EndPos="171" width="1" RecSegNo="1"/>
      <labl>
        Time since immigration
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Only for persons who were not born in this municipality
[Applies to questions I - J]




I. Number of years that you've lived in this municipality. If previously lived in a rural zone, also mark 0


[] 0
[] 32 less than 1 year
[] 33 1 year
[] 34 2 years
[] 35 3 years
[] 36 4 years
[] 37 5 years
[] 38 6-10 years
[] 39 11+ years]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Questions I and J

These questions will only be asked of persons who were not born in the municipality where they are residing on the date of the Census. For those born in the municipality of residence and for present nonresidents (response to Question B) the enumerator should not record anything.
It would be good to note that:

a) These questions will not be asked of persons who live in the same territory where they were born, even if this territory has since become a new municipality;
b) The questions will not be asked of persons who were born outside the municipality where their parents were living (maternity hospital, houses of relatives, etc.) and still reside in the same municipality.
c) Nor will the question be asked of persons who moved out and have since returned to live in the municipality where they were born.



Question I - Number of years living in the municipality

The number of full years that the person has lived in this municipality should be recorded. This length of time of residence will be as of the last date on which the respondent established residence in the municipality.
For those who previously resided in a rural area (village, ranch, farm, etc.), besides indicating the length of time of residence, the enumerator will record an X in Box 0 (zero). For all [p. 30] others (living previously in an urban or suburban area), the enumerator will only indicate the length of time of residence.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons who were not born in the municipality they are currently residing
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of years that an individual has lived in the current municipality of residence.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Less than 1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          3 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          4 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          6 To 10 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          11 years or over
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V103" name="BR1960A_0412" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="172" EndPos="173" width="2" RecSegNo="1"/>
      <labl>
        Former state or country of residence
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Only for persons who were not born in this municipality
[Applies to questions I - J]




J. State or foreign country where lived before moving to this municipality (see codes; only write the name of the state or country if you don't find it in Code List 1)


____
____ Code list 1]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Questions I and J

These questions will only be asked of persons who were not born in the municipality where they are residing on the date of the Census. For those born in the municipality of residence and for present nonresidents (response to Question B) the enumerator should not record anything.
It would be good to note that:

a) These questions will not be asked of persons who live in the same territory where they were born, even if this territory has since become a new municipality;
b) The questions will not be asked of persons who were born outside the municipality where their parents were living (maternity hospital, houses of relatives, etc.) and still reside in the same municipality.
c) Nor will the question be asked of persons who moved out and have since returned to live in the municipality where they were born.




Question J - State or foreign country where resided before moving to this municipality

The recording of the responses to this question must comply with the same criterion used for answering Question G.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Persons who were not born in the municipality they are currently residing
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the former state or country of residence before moving to the present municipality.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Acre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Alagoas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Amapá
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Amazonas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Bahia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Brasília (D.F.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Ceará
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Espirito Santo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Estado do Rio
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Fernando De Noronha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Goiás
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Guanabara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Guaporé /Rondônia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Maranhão
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mato Grosso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Minas Gerais
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Pará
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Paraíba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Paraná
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Pernambuco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Piauí
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Rio Branco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Rio Grande Do Norte
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Rio Grande Do Sul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Santa Catarina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          São Paulo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Sergipe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Serra Dos Aimorés
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Brazil, Unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Azores
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Algeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Argentina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          U.R.S.S.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Australia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Austria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Belgium
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Bolivia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Bulgaria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Chile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Syria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Colombia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          Korea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Costa Rica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Cuba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Denmark
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Egypt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Ecuador
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          United Kingdom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Yugoslavia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Spain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          United States
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Finland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          France
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Greece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Guatemala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          British Guiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          French Guiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Dutch Guiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Haiti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Netherlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Honduras
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          British Honduras
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Hungary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Iran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Iraq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Ireland (Eire)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Israel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Jamaica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          Japan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          Lebanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          Nicaragua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Norway
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Panama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Paraguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          Persia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          Peru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          Poland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          Portugal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Dominican Repub.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Romania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Salvador
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Sweden
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Switzerland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Czechoslovakia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Turkey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Uruguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Venezuela
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Foreign unspecified
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V104" name="BR1960A_0413" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="174" EndPos="174" width="1" RecSegNo="1"/>
      <labl>
        Literacy
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Only for persons 5 years and older
[Applies to questions L - N]




L. School attendance and literacy


Attending school:


[] 40 can read
[] 42 can't read


Not attending school:


[] 41 can read
[] 43 can't read]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

The following questions will be asked only of persons age 5 and over
[Applies to questions L - N]




Question L - Attendance at school and literacy


a) Attendance at school
Only persons attending regular schools during the year of the Census should be considered as attending school. The term Regular schools refers to those schools which follow a progressive curriculum or course based on successive years - 1st year, 2nd year, 3rd year, etc. - and whose type of education is regulated by law. This includes Regular ecclesiastical courses are included in this category.
Persons who are on vacation or for any other reason are temporarily unable to attend classes on the date of the Census should nevertheless be enumerated as attending school. Likewise, persons who are attending adult courses, junior high-school preparation [admissão] courses or primary courses given at home will be recorded as attending school.
Persons who receive individual classes or who attend short professional specialization courses, cultural extension courses (sewing, dancing, foreign languages, typing, mechanics, art, cooking, etc.) will be recorded as Not attending school. Students in Kindergarten will also be recorded as Not attending school.

b) Literacy
Persons able to read and write at least a simple note, even if in a foreign language, should be considered as Knows how to read. Persons able to write only their name will be marked as does not know how to read.
Persons who learned how to read and write and who for any reason forgot will be recorded as does not know how to read.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons age 5+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether or not the respondent could read and write in any language. A person is typically considered literate if they can both read and write a simple note in any language. All other persons are illiterate, including those who can either read or write but cannot do both.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read and attends school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Can read and does not attend school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Can not read and attends school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Neither can read nor attends school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V105" name="BR1960A_0414" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="175" EndPos="175" width="1" RecSegNo="1"/>
      <labl>
        Last grade concluded
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Only for persons 5 years and older
[Applies to questions L - N]




Questions M and N: If attending or attended school, indicate the last grade and/or level that was passed




M. Grade


[] 44 1st grade
[] 45 2nd grade
[] 46 3rd grade
[] 47 4th grade
[] 48 5th grade
[] 49 6th grade
[] 50 currently attending 1st grade
[] 51 didn't attend and never attended]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

The following questions will be asked only of persons age 5 and over
[Applies to questions L - N]




Question M - Last year of school concluded with approval

Persons who are attending or who attended a regular school should inform the last year which they passed.

[p. 31]

Thus, 1st grade should be marked for a person who is attending 2nd year [or grade] of primary school; the 2nd year of junior high school [ginasial - 6th to 9th year] should be marked for a person who dropped out of the course in the 3rd year of junior high school [ginasial - 6th to 9th year] without terminating it or without passing; and the last year of the course should be marked for a person who concluded that course (example: the enumerator should mark 5th year for those who concluded a 5-year law course).
Attending first year should be marked only for persons who are attending the 1st year of primary school.
For persons who are not attending school or who never attended school, the last Box (51 - Does not attend and never attended) should be marked.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons age 5+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the last grade completed. To have a complete picture, this variable should be read along with the variable named level.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          First grade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Second grade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Third grade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Fourth grade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Fifth grade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sixth grade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Is in 1st grade elementary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Never attended school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V106" name="BR1960A_0415" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="176" EndPos="176" width="1" RecSegNo="1"/>
      <labl>
        Level of course
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Only for persons 5 years and older
[Applies to questions L - N]




Questions M and N: If attending or attended school, indicate the last grade and/or level that was passed




N. Level


[] 52 elementary
[] 53 middle-1st cycle
[] 54 middle-2nd cycle
[] 55 higher education]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

The following questions will be asked only of persons age 5 and over
[Applies to questions L - N]




Question N - Level or year concluded passed

This question should only be answered by persons for whom the enumerator marked one of the series in the preceding question. Nothing will be recorded in this question for persons who answered that they do not attend and never attended, in the preceding question.
The enumerator will mark an X in the field corresponding to one of the following responses:
Elementary - For those who have concluded one year of Primary school or its equivalent [first four years of schooling], such as elementary-level professional courses;


Junior high school [Médio 1º Ciclo, 5th or 6th, to 8th year] - For persons who have concluded one year of the Middle School, 1st Cycle [5th or 6th, to 8th year - Curso Ginasial or some other course on an equivalent level;
Senior high school [Médio - 2º ciclo] - For those who have concluded one year in the Classical or the Scientific course [college prep - 9th to 12th year] or some other course on an equivalent level;
Higher education - For persons who have concluded a year in Higher Education, such as Law, Medicine, Dentistry, Pharmacy, Engineering, Economics, Architecture, Agronomy, Military school, Denominational Seminary, Philosophy, etc.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons age 5+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the grade level of schooling completed (primary, secondary, etc.).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Elementary (grades 1-4)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          High school - 1st cycle (grades 5-8)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          2nd cycle (grades 9-11)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Higher education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Is in first grade elementary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Never attended school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V107" name="BR1960A_0416" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="177" EndPos="178" width="2" RecSegNo="1"/>
      <labl>
        Course concluded
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Only for people 10 years and older
[Applies to questions O - U]




O. Type of course that was passed


____
____ Code]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question O - Type of course passed

The response should indicate the type of the most advanced course actually concluded by the person being enumerated according to the degree or diploma attained.
Examples: Primary, Junior High school [Ginasial], Classical [Senior high School], Scientific [also Senior High School], Accounting, Bookkeeping, Accounting Technician, Normal School, Law, Medicine, [p. 32] Agronomy, Veterinary Medicine, Pharmacy, Dentistry, Engineering, Military School, Denominational Pre-seminary, Denominational Seminary, Nursing, Physical Education, Instructor of ____, Technician in ____, Sergeant's Course, etc.
Short professional specialization courses or cultural extension courses should not be mentioned because they do not indicate the true level of instruction. They can usually be taken at any level of instruction. So, only if the person being enumerated has no other instruction should a course of this nature be mentioned, but with its exact specification.
Upon obtaining the respondent's declaration, the enumerator will consult the list of codes found on the left-hand side of the questionnaire (Code 2 for Question O) and will record the code corresponding to the declaration. The enumerator will write the information in full only when no code is listed as corresponding to the declaration.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Persons age 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the type of the most advanced course actually concluded by the person being enumerated according to the degree or diploma attained such as Primary, Junior High school, accounting, bookkeeping, etc.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          No course concluded
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Commercial
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Sanitary services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Elementary military
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Agriculture and cattle raising
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Emendativo (general education)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Industrial elementry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other elementary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Junior high school (grades 7-9; ginasial)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Commercial 1st level
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Normal/Teaching 1st level
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Military 1st Level
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Agriculture and cattle raising
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Emendativo (general education) 1st Level
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Industrial 1st Level
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Other 1st Level
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Sanitary services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Military high school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Physical education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Ecclesiastical
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Other middle levels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          High school/scientific
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Commercial 2nd level
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Normal/2nd level
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Military 2nd level
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Agriculture and cattle raising
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          Industrial 2nd level
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          Other 2nd level
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Geography and history
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Natural history
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Literature
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Math, physics, chemistry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Other courses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Fine arts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Medicine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Pharmacy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Dentistry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Veterinary medicine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Engineering
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Architecture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Industrial chemistry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Agronomy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Economic sciences
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Domestic arts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Undocumented
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Sanitary services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Higher education military
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          Physical education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          Ecclesiastical
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          Other higher education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          Undocumented
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V108" name="BR1960A_0417" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="179" EndPos="180" width="2" RecSegNo="1"/>
      <labl>
        Marital status
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Only for people 10 years and older
[Applies to questions O - U]




P. If living with a partner, spouse, companion, consort, etc., indicate the nature of the union. If not living with a partner spouse, companion, consort, etc., indicate if person is:


[] 56 civil and religious marriage
[] 57 civil marriage only
[] 58 religious marriage only
[] 59 other
[] 60 single
[] 64 separated
[] 65 abandoned [desquitado]
[] 66 divorced
[] 67 widowed]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

Question P - (1st part) If the [person] lives in the company of wife, husband, common-law spouse, consort, etc. - indicate the nature of the union

Question P is divided into two distinct parts; each person age 10 or over will answer only one of the parts.
The first part will be answered only by those who live in the company of a wife or husband and refers to the nature of the union with the spouse with whom the person currently lives (on the Date of the Census).
One of the following answers should be marked:


Civil and religious marriage - for persons who are married civilly and religiously;
Only civil marriage - For those who are married civilly without there having been a religious ceremony;
Only religious marriage - For those who are married only religiously;
Other - For those who are not married either civilly or religiously.


It should be noted that a ceremony held in any religion or sect should be considered a religious wedding.

Question P - (2nd Part) If [the respondent] does not live in the company of wife, husband, common-law spouse, consort, etc. - indicate whether he or she is:
In the 2nd part of Question P (which will be answered only by those who do not live in the company of spouse), the enumerator should indicate one of the following:

[p. 33]


Single - for those who have not contracted a civil or religious matrimony and do not live in the company of spouse;
Separated - for married persons (married civilly, civilly and religiously, or only religiously) who have separated without a legal separation or a ratified divorce and do not live in the company of another spouse;
Legally separated [desquitado] - for those who have ratified this marital status and do not live in the company of another spouse;
Divorced - for those who, having married pursuant to foreign law, have obtained a divorce and do not live in the company of another spouse;
Widow or widower - for any person whose spouse has died, when they were united by a civil, a civil and religious, or only a religious marriage and do not live in the company of another spouse.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Persons age 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the person's current marital status according to law or custom. Individuals who remarried report the status relevant to their most recent marriage.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Civil and religious marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Only civil marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Only religious marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Living maritally (other)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Single
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Separated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Legally separated (desquitado)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Divorced
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Widower
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V109" name="BR1960A_0418" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="181" EndPos="183" width="3" RecSegNo="1"/>
      <labl>
        Year of current marriage or union
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Only for people 10 years and older
[Applies to questions O - U]




Q. If living with a partner, indicate the year of marriage or union


____ year
00 isn't alive]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

The following questions are shown only on questionnaire C.d. 2. The questions will be asked only to persons age 10 or over




Question Q - If living in the company of spouse, indicate the year of the marriage or union.

This question should only be answered by persons who are living in the company of spouse, that is, those who answered the first part of Question P.
The response should be the year in which the respondent married the spouse with whom he or she currently lives. For those who live in a consensual union, the year in which they began living together should be recorded.
For those who answered the second part of Question P, that is, who do not live in the company of a spouse, an X should be marked in the box entitled does not live.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="999"/>
      </valrng>
      <universe clusion="I">
        Persons age 10+ currently in a union
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the year in which the person got married.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1901
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          1902
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          1903
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          1904
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          1905
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          1906
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          1907
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          1908
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          1909
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          1910
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          1911
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          1912
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          1913
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          1914
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          1915
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          1916
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          1917
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          1918
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          1919
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          1920
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          1921
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          1922
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          1923
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          1924
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          1925
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          1926
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          1927
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          1928
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          1929
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          1930
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          1931
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          1932
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          1933
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          1934
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          1935
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          1936
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          1937
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          1938
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          1939
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          1940
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          1941
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          1942
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          1943
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          1944
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          1945
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          1946
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          1947
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          1948
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          1949
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          1950
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          1951
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          1952
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          1953
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          1954
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          1955
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          1956
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          1957
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          1958
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          1959
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          1900
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Before 1864
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          1864
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          1865
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          1866
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          1867
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          1868
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          1869
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          1870
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          1871
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          1872
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          1873
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          1874
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          1875
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          1876
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          1877
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          1878
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          1879
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          1880
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          1881
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          1882
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          1883
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          1884
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          1885
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          1886
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          1887
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          1888
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          1889
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          1890
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          1891
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          1892
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          1893
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          1894
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          1895
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          1896
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          1897
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          1898
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          1899
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V110" name="BR1960A_0419" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="184" EndPos="185" width="2" RecSegNo="1"/>
      <labl>
        Children ever born
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Only for people 10 years and older
[Applies to questions O - U]




R. If have children, how many, including those that were born dead?


____ children
00 don't have]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

The following questions are shown only on questionnaire C.d. 2. The questions will be asked only to persons age 10 or over




Question R - If had children, how many, including stillborn?

The person's response (including both men and women) should include all children born alive or stillborn, of the current and of previous spouses; illegitimate children must be included in the response.
Fetuses of less than 7 months should not be considered stillborn.
For those who have never had children, an X should be marked in the box entitled does not have.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Persons age 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable reports the number of children ever born to respondent. The man or woman were to report all births, including stillbirths, by all partners, whether or not the children were still living.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V111" name="BR1960A_0420" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="186" EndPos="187" width="2" RecSegNo="1"/>
      <labl>
        Children alive
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Only for people 10 years and older
[Applies to questions O - U]




S. Of the children you have, how many do you think are alive on the date of the census?


____ children
00 none]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

The following questions are shown only on questionnaire C.d. 2. The questions will be asked only to persons age 10 or over




Question S - How many of the children the person has had are living on the date of the Census?

The answer should include all the living children of each respondent (whether a man or a woman), even if from more than one union. Therefore, all legitimate and illegitimate living children should be enumerated, not only those living in the household but also those who no longer live there on the date of the Census.
For those who have not had children or who do not have any living children, the box entitled None should be marked with an X.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Persons age 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable reports the number of children of each respondent who were still living at the time of the census.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility and Mortality Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V112" name="BR1960A_0421" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="188" EndPos="189" width="2" RecSegNo="1"/>
      <labl>
        Monthly income
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Only for people 10 years and older
[Applies to questions O - U]




T. How much earned, on average, per month (Cr$ = cruzeiros)?


[] 65 up to 2100
[] 66 2101 to 3300
[] 67 3301 to 4500
[] 68 4501 to 6000
[] 69 6001 to 10,000
[] 70 10,001 to 20,000
[] 71 20,001 to 50,000
[] 72 50,001+
[] 73 don't have]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

The following questions are shown only on questionnaire C.d. 2. The questions will be asked only to persons age 10 or over




Question T - Average monthly income (in Cr$)

This question will be answered by all persons age 10 or over, whether or not they are exercising an occupation. For those who have no earnings, the enumerator will mark the box entitled does not have.
For those who earn only fixed income (salaries and wages under contract, including those of military personnel, etc.), the income of the last month will be considered.
For those who receive variable income (liberal professionals' fees, sale and brokerage commissions, payment for services rendered, etc.), the average income of the last twelve months should be considered.
The sum of permanent wages plus the monthly average of variable income should be considered for respondents who, besides permanent wages, have some of form variable income.
All amounts received in money, including those deriving from salaries and wages under contract, those of military personnel, liberal professionals' fees, sums received by businessmen, bonuses, commissions, payment for services rendered, tips, pensions, regularly received donations, lifelong incomes consequent to dowries or similar types of income, amounts received from use, income from rentals, etc. are considered income.
The following should not be computed as income:


a) earnings resulting from the sale of property (real estate, livestock or furniture), but computing the difference between the purchase price and the operational sale price - the profit - in the case of persons who live on such undertakings (real estate brokers and salespersons, automobiles, used objects, etc.);
b) loans obtained from banks or other financial institutions, or from private parties;
c) inheritances received (not including amounts earned from the use of same);


[p. 35]


d) income from the redemption of insurance policies (life, accident, etc.) and from capitalization, but also calculating amounts received periodically from lifelong insurance policies;
e) earnings from lotteries and other games of chance (except by professional players).]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Persons age 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the average monthly total personal income earned, in Cruzeiros.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Up to 2,100
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2,101 to 3,300
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3,301 to 4,500
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4,501 to 6,000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          6,001 to 10,000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          10,001 to 20,000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          20,001 to 50,000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          50,001 or over
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Don't have
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Income Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V113" name="BR1960A_0422" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="190" EndPos="191" width="2" RecSegNo="1"/>
      <labl>
        Non-economic activity
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Only for people 10 years and older
[Applies to questions O - U]




U. If person didn't work in the year prior to the date of the census, what is the occupation or situation that he/she considers principal?


[] 74 domestic affairs
[] 75 student
[] 76 retired
[] 77 lives on rent income
[] 78 temporary illness
[] 79 permanent incapacity
[] 80 imprisoned
[] 81 no occupation]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

The following questions are shown only on questionnaire C.d. 2. The questions will be asked only to persons age 10 or over




Question U - If the respondent did not work during the year preceding the date of the Census, what occupation or situation does he or she consider the most important?

Only persons who did not exercise any economic occupation during the year preceding the date of the Census, that is, during the period extending from September 1, 1959, to August 31, 1960, should answer this question.

Economic occupation is considered any work which is exercised for the purpose of receiving monetary remuneration (salaries, wages, bonuses, subsidies, profits, income from artistic or handicraft-related work, commissions, tips, etc.) or in kind (part of products received from farming, extractive or industrial operations). Even without remuneration, economic occupations exercised by family members (Question Z) and religious (priests, ministers, friars, nuns, etc.) should be considered.
One of the rectangles for this question should be marked with an X only for those who did not exercise any economic occupation during the year preceding the date of the Census, according to the following criteria:


Domestic chores - A person who exercises his or her occupation at home, without remuneration.
Student - a person who is attending school;
Retired - a person who receives income resulting from retirement from work which he or she exercised at an earlier date or who receives a pension from pension funds left by the death of a person upon whom he or she was dependent;
Lives on earnings - a person who earns income deriving from investment of his or her own capital;
Temporary illness - a person who did not work during the year preceding the date of the Census due to temporary illness, whether employed or not;
Permanent disability - a person who does not work due to permanent illness or disability, without being retired or living on revenue. Persons age 70 or over who do not exercise an occupation should be included in this case;
Prisoner - Serving sentence, even if he or she exercises an occupation in the prison;


[p. 36]


Unoccupied - a person who does not exercise an occupation, even though he or she is able to do so. Persons who are able to work but live on donations, help from others, etc. should be included in this case.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Persons age 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the main economic activity for persons who did not work in the year prior to the census.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Domestic tasks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Student
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Retired
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Lives on earnings
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Temporary illness
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Permanent disability
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Prisoner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          No occupation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          With occupation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V114" name="BR1960A_0423" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="192" EndPos="194" width="3" RecSegNo="1"/>
      <labl>
        Usual occupation
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Only for people who worked in the year prior to the census date
[Applies to questions V - Z]




V. Occupation, profession, office, duty, function, etc, that was exercised for the longest time in the year before the census date (see codes; only write the name of the occupation if you don't find it in Code List 3)


____ 
____ Code list 3]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

The following questions will only be asked of those persons who worked during the year preceding the date of the census
(September 1, 1959, to August 31, 1960)
[Applies to questions V - Z]




Question V - Occupation, profession, position, function, etc. which the respondent exercised for the longest time during the year preceding the date of the Census

This question has the objective of investigating the occupation that the respondent habitually exercises, habitual occupation being understood as that in which the respondent was occupied during most of the year.
In most cases, the habitual occupation coincides with that exercised on the date of the Census.
It may happen, however, that on the date of the Census the person is exercising an occupation different than his or her habitual occupation. In this case, the following will be recorded:


a) the habitual occupation, when carrying out temporary work, as is the case, for example, with farm workers who, on the date of the Census, were temporarily working at sugar mills, processing machinery, brick factories, etc., but who concluded this industrial work and, upon termination of same, will return to their habitual farming occupations which they exercise during most of the year;
b) the occupation exercised on the date of the Census, when such occupation is permanent in nature, such as farm workers who move to cities where they exercise industrial, commercial or other occupations of a permanent nature.


One should not confuse habitual occupation with professional specialization. For example, a bank manager or a high-school teacher who is a trained physician or lawyer will declare his or her habitual occupation, and not the profession in which he or she is licensed and/or trained (physician or lawyer). Vague and generic expressions should be avoided (farm worker, assistant, commercial worker, teacher, bank worker, government employee, factory worker, worker, domestic help, liberal professional, military man). Specific designations should rather be used, such as: foreman, field hand, cowboy, office assistant, statistical assistant, salesperson, cashier, traveling salesman, primary teacher, high-school teacher, college teacher, office boy, administrative official, scribe, accountant, chemist, economist, engineer, hackler (flax comber), welder, boilersmith, overseer, carpenter, hod carrier, cook, nanny, physician, lawyer, priest, captain, etc.

[p. 37]

If the person habitually exercises a remunerated activity, and on the date of the Census, is unemployed, on leave or vacation, or even in jail awaiting sentence, he or she should state his or her habitual occupation. A person who exercises two or more economic occupations concurrently should indicate that which occupies most of his or her time.
When obtaining the respondent's declaration, the enumerator will consult the list of codes found on the left-hand side of the questionnaire (Code 3 for Question V), and will record the code corresponding to the habitual occupation. The enumerator should write out the information in full only if the declaration and respective code are not shown on the list.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <universe clusion="I">
        Persons age 10+ who are in the labor force
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable records the person's primary occupation classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person had spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Farmers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Cattle ranchers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Poultry farmers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Industrial businessmen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Commercial businessmen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Hotel and boarding house owners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          Other owners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Administrators, officers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Bank officers and managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Cattle ranch administrators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Other administrators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Tax collectors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Cashiers and treasurers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          Bill conductors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          Accountants and bookkeepers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          Document agents
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          Stock clerks and warehouse keepers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          Typists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          Stenographers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          Office machine operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Office helpers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Engineers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Architects
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Surveyors and survey engineers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Draftsmen and cartographers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          Chemists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          Pharmacists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          Non-certified pharmacists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          Laboratory technician
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Agronomists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Veterinarians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Field biologists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Physicians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Dentists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Social workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Midwives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Nurses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          Prosthetists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          X-ray operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Mathematicians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Primary teachers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          High-school teachers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          University teachers and professors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          Unspecified teachers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          Sociologists, economists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          School proctors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Judges
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Government attorneys
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          Public lawyers and defenders
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          Notaries public and process servers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          Clerks and assistants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          Religious
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          Writers and journalists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Sculptors and painters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Advertising technicians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          Decorators and ceramists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          Movie technicians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          Photographers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Agricultural technicians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Tractor drivers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Plowmen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Country house workers and market gardeners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Gardeners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Hoe workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Cattle raising workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Fishermen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Hunters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Lumberjacks and woodcutters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Coal and charcoal manufacturers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Rubber tappers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          Maté workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          Pickers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          Miners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Stone cutters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          Occupations related to oil extraction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          Gold miners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Modelers and metal formists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Metal castors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          Laminators and wire drawers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          Tool grinders and sharpeners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Mechanical stampers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Milling machinists and punch operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          Lathe operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Engine mechanics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          525
        </catValu>
        <labl>
          Unspecified mechanics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          526
        </catValu>
        <labl>
          Galvanizers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          527
        </catValu>
        <labl>
          Welders
        </labl>
      </catgry>
      <catgry>
        <catValu>
          528
        </catValu>
        <labl>
          Boilersmiths
        </labl>
      </catgry>
      <catgry>
        <catValu>
          529
        </catValu>
        <labl>
          Blacksmiths and metal millers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          Vehicle electricians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          532
        </catValu>
        <labl>
          Metal riveters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          533
        </catValu>
        <labl>
          Tinsmiths
        </labl>
      </catgry>
      <catgry>
        <catValu>
          534
        </catValu>
        <labl>
          Blacksmiths
        </labl>
      </catgry>
      <catgry>
        <catValu>
          541
        </catValu>
        <labl>
          Textile carders and combers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          542
        </catValu>
        <labl>
          Textile rollers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          543
        </catValu>
        <labl>
          Textile spinners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          544
        </catValu>
        <labl>
          Lacemakers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          545
        </catValu>
        <labl>
          Loom setters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          546
        </catValu>
        <labl>
          Rope makers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          547
        </catValu>
        <labl>
          Weavers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          548
        </catValu>
        <labl>
          Tapestry and carpet weavers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          549
        </catValu>
        <labl>
          Net makers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          Textile bleachers and dyers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          552
        </catValu>
        <labl>
          Textile printers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          553
        </catValu>
        <labl>
          Textile finishers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          554
        </catValu>
        <labl>
          Fabric reweavers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          561
        </catValu>
        <labl>
          Leather goods makers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          562
        </catValu>
        <labl>
          Tanners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          571
        </catValu>
        <labl>
          Tailors and seamstresses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          572
        </catValu>
        <labl>
          Embroiderers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          573
        </catValu>
        <labl>
          Hat makers (straw hats)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          574
        </catValu>
        <labl>
          Hat makers, except straw hats
        </labl>
      </catgry>
      <catgry>
        <catValu>
          575
        </catValu>
        <labl>
          Shoemakers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          576
        </catValu>
        <labl>
          Purse and bag makers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          581
        </catValu>
        <labl>
          Cabinet makers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          582
        </catValu>
        <labl>
          Carpenters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          583
        </catValu>
        <labl>
          Coopers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          584
        </catValu>
        <labl>
          Sawyers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          585
        </catValu>
        <labl>
          Upholsterers and vehicle upholstery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586
        </catValu>
        <labl>
          Mattress makers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          587
        </catValu>
        <labl>
          Wood polishers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591
        </catValu>
        <labl>
          Electricians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          592
        </catValu>
        <labl>
          Radio technicians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Civil construction foremen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Reinforced concreters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          Stone masons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          614
        </catValu>
        <labl>
          Hod carriers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          615
        </catValu>
        <labl>
          Painters and whitewashers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          616
        </catValu>
        <labl>
          Stucco masons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          617
        </catValu>
        <labl>
          Tile and parquetry workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          618
        </catValu>
        <labl>
          Plumbers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          619
        </catValu>
        <labl>
          Glaziers (glass installers)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          Sidewalk and pavement workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          622
        </catValu>
        <labl>
          Caulkers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          623
        </catValu>
        <labl>
          Machinery operators in civil construction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          631
        </catValu>
        <labl>
          Sausage and wiener makers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          632
        </catValu>
        <labl>
          Jerky makers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          633
        </catValu>
        <labl>
          Slaughterhouse butchers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          634
        </catValu>
        <labl>
          Dairy workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          635
        </catValu>
        <labl>
          Candy makers and confectioners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          636
        </catValu>
        <labl>
          Pasta makers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          637
        </catValu>
        <labl>
          Bakers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          638
        </catValu>
        <labl>
          Grain millers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          639
        </catValu>
        <labl>
          Employees in sugar industry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          641
        </catValu>
        <labl>
          Employees in beverage industry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          Employees in coffee industry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          643
        </catValu>
        <labl>
          Employees in fishing industry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          651
        </catValu>
        <labl>
          Linotypists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          652
        </catValu>
        <labl>
          Typographers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          653
        </catValu>
        <labl>
          Printing engravers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          654
        </catValu>
        <labl>
          Printing press operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          655
        </catValu>
        <labl>
          Proofreaders in printing ind.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          656
        </catValu>
        <labl>
          Bookbindery workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          657
        </catValu>
        <labl>
          Other occupations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          661
        </catValu>
        <labl>
          Glass workers and ampule makers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          662
        </catValu>
        <labl>
          Ceramists and china makers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          663
        </catValu>
        <labl>
          Ceramics painters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          664
        </catValu>
        <labl>
          Brickmakers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          671
        </catValu>
        <labl>
          Masters and foremen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          672
        </catValu>
        <labl>
          Goldsmiths and watchmakers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          673
        </catValu>
        <labl>
          Gem cutters and polishers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          674
        </catValu>
        <labl>
          Vulcanizers and retreaders
        </labl>
      </catgry>
      <catgry>
        <catValu>
          675
        </catValu>
        <labl>
          Fireworks makers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          676
        </catValu>
        <labl>
          Other occupations in the transformation industries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          681
        </catValu>
        <labl>
          Basket makers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          682
        </catValu>
        <labl>
          Broom makers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          683
        </catValu>
        <labl>
          Marble workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          684
        </catValu>
        <labl>
          Tobacco preparation workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          685
        </catValu>
        <labl>
          Stone buffers and polishers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686
        </catValu>
        <labl>
          Spray painters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          687
        </catValu>
        <labl>
          Suitcase makers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          688
        </catValu>
        <labl>
          Stokers (except on boats and trains)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          689
        </catValu>
        <labl>
          Packagers and dispatchers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Butchers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Street vendors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          713
        </catValu>
        <labl>
          Shop attendants and delivery persons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          714
        </catValu>
        <labl>
          Newspaper and magazine vendors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Traveling and local vendors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Sales representatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          723
        </catValu>
        <labl>
          Advertising agents
        </labl>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Brokers and agents
        </labl>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Buyers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          733
        </catValu>
        <labl>
          Auctioneers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          811
        </catValu>
        <labl>
          Civil aviators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          812
        </catValu>
        <labl>
          Flight attendants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          821
        </catValu>
        <labl>
          Navy officers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          822
        </catValu>
        <labl>
          Boatswains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          823
        </catValu>
        <labl>
          Ship machinists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          824
        </catValu>
        <labl>
          Ship stokers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          825
        </catValu>
        <labl>
          Merchant marine sailors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826
        </catValu>
        <labl>
          Ship stewards
        </labl>
      </catgry>
      <catgry>
        <catValu>
          827
        </catValu>
        <labl>
          Small boat operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          831
        </catValu>
        <labl>
          Harbor pilots
        </labl>
      </catgry>
      <catgry>
        <catValu>
          832
        </catValu>
        <labl>
          Crane operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          833
        </catValu>
        <labl>
          Stevedores and longshoremen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          841
        </catValu>
        <labl>
          Railroad agents
        </labl>
      </catgry>
      <catgry>
        <catValu>
          842
        </catValu>
        <labl>
          Train conductors and inspectors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          843
        </catValu>
        <labl>
          Train engineers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          844
        </catValu>
        <labl>
          Train stokers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          845
        </catValu>
        <labl>
          Railroad brakemen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          846
        </catValu>
        <labl>
          Switchmen and flagmen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          851
        </catValu>
        <labl>
          Drivers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          852
        </catValu>
        <labl>
          Fare takers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          853
        </catValu>
        <labl>
          Motormen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854
        </catValu>
        <labl>
          Streetcar conductors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          855
        </catValu>
        <labl>
          Teamsters (oxen, horse, etc.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          861
        </catValu>
        <labl>
          Inspectors and document agents
        </labl>
      </catgry>
      <catgry>
        <catValu>
          862
        </catValu>
        <labl>
          Highway construction workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          863
        </catValu>
        <labl>
          Railroad construction workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          871
        </catValu>
        <labl>
          Postal and telegraph agents
        </labl>
      </catgry>
      <catgry>
        <catValu>
          872
        </catValu>
        <labl>
          Telegraphers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          873
        </catValu>
        <labl>
          Telephone operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          874
        </catValu>
        <labl>
          Mailmen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          875
        </catValu>
        <labl>
          Postal and telegraph handlers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          876
        </catValu>
        <labl>
          Telegraph linemen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Cooks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          912
        </catValu>
        <labl>
          Waiters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          913
        </catValu>
        <labl>
          Kitchen workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          921
        </catValu>
        <labl>
          Doormen and janitors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          931
        </catValu>
        <labl>
          Barbers and hairdressers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          932
        </catValu>
        <labl>
          Manicures and pedicures
        </labl>
      </catgry>
      <catgry>
        <catValu>
          933
        </catValu>
        <labl>
          Laundresses and ironers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          934
        </catValu>
        <labl>
          Shoe shiners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          941
        </catValu>
        <labl>
          Musicians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          942
        </catValu>
        <labl>
          Movie actors and actresses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          943
        </catValu>
        <labl>
          Announcers, actors and actresses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          944
        </catValu>
        <labl>
          Radio operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          945
        </catValu>
        <labl>
          Cinema operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          951
        </catValu>
        <labl>
          Professional athletes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          961
        </catValu>
        <labl>
          Car washers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          962
        </catValu>
        <labl>
          Waxers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          971
        </catValu>
        <labl>
          Commissioned, non-commissioned officers in armed forces
        </labl>
      </catgry>
      <catgry>
        <catValu>
          972
        </catValu>
        <labl>
          Commissioned, non-commissioned officers in fire department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          973
        </catValu>
        <labl>
          Police delegates and commissioners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          974
        </catValu>
        <labl>
          Police investigators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          975
        </catValu>
        <labl>
          Civil and traffic police
        </labl>
      </catgry>
      <catgry>
        <catValu>
          976
        </catValu>
        <labl>
          Jail keepers and prison guards
        </labl>
      </catgry>
      <catgry>
        <catValu>
          981
        </catValu>
        <labl>
          Timekeepers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          982
        </catValu>
        <labl>
          Apprentices
        </labl>
      </catgry>
      <catgry>
        <catValu>
          983
        </catValu>
        <labl>
          Attendants and watchman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          984
        </catValu>
        <labl>
          Sanitary inspectors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          985
        </catValu>
        <labl>
          Inspectors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          986
        </catValu>
        <labl>
          Garbage collectors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          987
        </catValu>
        <labl>
          Lubricators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          988
        </catValu>
        <labl>
          Machine operators (except civil construction)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          989
        </catValu>
        <labl>
          Manual laborers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other occupations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work: Occupation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V115" name="BR1960A_0424" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="195" EndPos="195" width="1" RecSegNo="1"/>
      <labl>
        Occupation last week
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Only for people who worked in the year prior to the census date
[Applies to questions V - Z]




W. During the last week, person was exercising occupation declared in the previous question (inclusive of vacation or leave), other occupation, or was unemployed?


[] 82 occupation declared in previous question
[] 83 other occupation
[] 84 unemployed]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

The following questions will only be asked of those persons who worked during the year preceding the date of the census
(September 1, 1959, to August 31, 1960)
[Applies to questions V - Z]




Question W - In the last week, were you exercising the occupation declared in the preceding question (including being on vacation or on leave), another occupation, or were you unemployed?

This question will be answered by persons who exercised an economic occupation during the year preceding the date of the Census
One of the following should be marked:


Occupation declared in the preceding question - if, during the week preceding the date of the Census, the respondent was exercising the occupation declared in Question V (even if on vacation or on leave).
Another occupation - if, during the week preceding the date of the Census, the respondent was exercising an economic occupation different from that declared in Question V.
Unemployed - if the respondent, having worked during the year preceding the date of the Census, was unemployed during the week preceding the date of the Census.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons age 10+ who are in the labor force
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether, during the last week, person was exercising his/her main occupation (including being on vacation or leave), other occupation, or was unemployed. This variable, in normal cases, should be used alongside another variable usualocc (usual occupation).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Declared occupation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Other occupation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Unemployed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V116" name="BR1960A_0425" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="196" EndPos="198" width="3" RecSegNo="1"/>
      <labl>
        Industry
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Only for people who worked in the year prior to the census date
[Applies to questions V - Z]




X. Class and location of activity (sector) in which occupation declared in question V (see codes; only write the name of the activity class (sector) if you don't find it in Code List 4)


____
____ Code list 4]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

The following questions will only be asked of those persons who worked during the year preceding the date of the census
(September 1, 1959, to August 31, 1960)
[Applies to questions V - Z]




Question X - Class and place of activity where the occupation declared in Question V was exercised.

The purpose of asking for class and place of activity is to ascertain the sector of economic activity in which the person exercised the occupation declared in Question V. Therefore, there should be a distinction between these items of information. For example, a bookkeeper may exercise his or her occupation at a cattle ranch, a coffee plantation, a stone quarry, a textile factory, a radio equipment store, a private school, a construction company, etc. Depending on the case, the class of activity to be recorded will be cattle breeding, coffee growing, rock extraction, textile manufacturing, electric equipment trade, private education, civil construction, etc. Likewise, a physician might practice medicine at a private clinic, a public hospital or a cookie factory. Depending on the [p. 38] case, the doctor will declare Private medical clinic, Public health care or food industry as his or her class of activity.
It should also be kept in mind that the intention is not to find out whether the respondent works at large company or a small establishment, or if he or she exercises a technical or administrative function, is a subordinate or in authority. Thus a waiter in a small cafe and the manager of a large restaurant work in the same class of activity: Work in hotels, bars, cafes, etc. Likewise, a stonemason, an accountant and a driver, all three working in a construction company, although having different functions, are occupied in the same sector of industry - civil construction - which is therefore the class of activity to be recorded for all of them.
After obtaining the respondent's answer, the enumerator will consult the list of codes found on the side left of the questionnaire (Code 4 for Question X), and will record the code corresponding to the class of activity. The enumerator should write out the information in full only if the declaration and respective code are not shown on the list.
The objective of asking where (the place) the respondent exercises the activity is to obtain information that will enable the correct specification of class of activity. For this reason, the responses should characterize the activity carried out by the establishment or other organization where the person exercised the occupation declared in Question V, and not the address of this establishment, institution or organization.

Examples: coffee plantation, livestock farm, floral nursery, small fruit farm, small sugar cane plant, coal mine, gold mine, lime pit, quarry, charcoal works, rubber plantation, fishing boat, foundry, brick factory, tannery, sawmill, copper works, furniture factory, baggage factory, gunpowder factory, match factory, pharmaceutical laboratory, textile factory, garment works, shoe factory, cracker factory, butter factory, sugar mill, brewery, alcohol plant, cigarette factory, building in construction, cardboard factory, pencil factory, tire factory, doll factory, gasworks, printing shop, newspaper editorial room, gasoline station, general store, butcher shop, bakery, cigar store, cloth store, shoe store, variety store, furniture store, tapestry shop, hardware store, china shop, drugstore, paint store, stationery store, radio store, street market, newspaper stand, sales office, bank, insurance company, lottery agency, bus company, taxi, garage, streetcar, railroad, merchant ship, docks, airline, post office, telegraph agency, telephone company, radio station, pier, hotel, restaurant, barber shop, tailor shop, fashion studio, watchmaker's shop, blacksmith's shop, convent, doctor's office, dentist's office, public hospital, private hospital, orphanage, private school, public school, notary's office, senate, [p. 39] vehicle inspection office, street cleaning department, cemetery, slaughterhouse, water department, income tax department, state tax collector's office, embassy, employer's home, domestic chores, etc.
The enumerator will record the place only when the class of activity has not been encoded.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="919"/>
      </valrng>
      <universe clusion="I">
        Persons age 10+ who in the labor force
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time and is not recoded by IPUMS-International.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Century plant growing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Cotton growing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Rice growing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Banana growing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Cocoa bean growing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Coffee growing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          Sugar cane growing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          Tobacco growing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          Wheat growing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Crops not described above
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Fruits growing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Vegetable and flower growing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Forest plants growing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          Activities not covered above
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Cattle raising
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Poultry and rabbit raising
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          Beekeeping and silkworm raising
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Cattle raising/crops, in general
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Rubber extraction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Herb extraction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Plant extraction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Tobacco extraction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          Wood extraction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          Charcoal production
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          Activities not covered above
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Mineral extraction and preparation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Stone extraction and preparation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          Oil extraction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          Coal extraction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          Salt exploration
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          Firing and prospecting
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          Activities not covered above
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Hunting
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Fishing and fish raising
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Metal works
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Mechanical companies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Companies of electric material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Companies of material for transp.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Companies of non- metallic minerals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          Rubber companies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          Tobacco companies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          Paper companies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Furniture companies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Wood companies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Leather companies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Pharmaceutical companies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          Plastic material companies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          Chemical companies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          Oil derivative companies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          Textile companies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Textile production -- cottage industry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Production of straw articles -- cottage industry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Garment companies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          Footwear companies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          Food products companies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          Beverage companies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          Publishing companies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          Activities not covered above
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Civil Construction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          Energy and gas production and distribution
        </labl>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          Water supply and sewer services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          Commerce of farm products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          Commerce of food
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          Commerce of cloth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          Commerce of furniture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          415
        </catValu>
        <labl>
          Commerce of paper
        </labl>
      </catgry>
      <catgry>
        <catValu>
          416
        </catValu>
        <labl>
          Commerce of hardware
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          Commerce of machines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          Commerce of pharmaceutical products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Commerce of fuel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Commerce by peddlers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          Street markets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          424
        </catValu>
        <labl>
          Ancillary commercial activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          Activities not covered above
        </labl>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          Real estate market
        </labl>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          Stocks and bonds market
        </labl>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          Banks and banking institutions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Gov. savings banks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          455
        </catValu>
        <labl>
          Insurance and capitalization
        </labl>
      </catgry>
      <catgry>
        <catValu>
          459
        </catValu>
        <labl>
          Activities not covered above
        </labl>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Lodging services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Hygiene services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          Building maintenance services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          Services of making clothing to order
        </labl>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl>
          Vehicle repair services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Entertainment services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          517
        </catValu>
        <labl>
          Domestic services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          518
        </catValu>
        <labl>
          Building administration services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          519
        </catValu>
        <labl>
          Activities not covered above
        </labl>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Transportation by animal traction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Highway transportation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          Urban services transportation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          614
        </catValu>
        <labl>
          Railroad transportation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          615
        </catValu>
        <labl>
          Maritime transportation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          616
        </catValu>
        <labl>
          Services at ports
        </labl>
      </catgry>
      <catgry>
        <catValu>
          617
        </catValu>
        <labl>
          Air transportation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          618
        </catValu>
        <labl>
          Postal services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          Telephones
        </labl>
      </catgry>
      <catgry>
        <catValu>
          622
        </catValu>
        <labl>
          Storage, warehousing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          629
        </catValu>
        <labl>
          Activities not covered above
        </labl>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Public education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Private education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          713
        </catValu>
        <labl>
          Public health and hospital care
        </labl>
      </catgry>
      <catgry>
        <catValu>
          714
        </catValu>
        <labl>
          Private health care
        </labl>
      </catgry>
      <catgry>
        <catValu>
          715
        </catValu>
        <labl>
          Sanitation and water supply
        </labl>
      </catgry>
      <catgry>
        <catValu>
          716
        </catValu>
        <labl>
          Social security
        </labl>
      </catgry>
      <catgry>
        <catValu>
          717
        </catValu>
        <labl>
          Social assistance and welfare
        </labl>
      </catgry>
      <catgry>
        <catValu>
          718
        </catValu>
        <labl>
          Religious services and related activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Cultural institutions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Labor unions and employers associations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Activities not covered above
        </labl>
      </catgry>
      <catgry>
        <catValu>
          751
        </catValu>
        <labl>
          Law offices and ancillary services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl>
          Engineering and architecture projects
        </labl>
      </catgry>
      <catgry>
        <catValu>
          753
        </catValu>
        <labl>
          Dentistry and related activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          754
        </catValu>
        <labl>
          Undocumented
        </labl>
      </catgry>
      <catgry>
        <catValu>
          755
        </catValu>
        <labl>
          Medical and similar activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          756
        </catValu>
        <labl>
          Science and Humanities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          757
        </catValu>
        <labl>
          Accounting and similar activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          759
        </catValu>
        <labl>
          Other activities not covered above
        </labl>
      </catgry>
      <catgry>
        <catValu>
          811
        </catValu>
        <labl>
          Legislative branch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          812
        </catValu>
        <labl>
          Justice and related activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          813
        </catValu>
        <labl>
          Federal administrative service
        </labl>
      </catgry>
      <catgry>
        <catValu>
          814
        </catValu>
        <labl>
          State administrative service
        </labl>
      </catgry>
      <catgry>
        <catValu>
          815
        </catValu>
        <labl>
          Municipal administrative service
        </labl>
      </catgry>
      <catgry>
        <catValu>
          816
        </catValu>
        <labl>
          Admin. serv. in indep. gov.organs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          819
        </catValu>
        <labl>
          Activities not covered above
        </labl>
      </catgry>
      <catgry>
        <catValu>
          851
        </catValu>
        <labl>
          Army
        </labl>
      </catgry>
      <catgry>
        <catValu>
          852
        </catValu>
        <labl>
          Navy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          853
        </catValu>
        <labl>
          Air force
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854
        </catValu>
        <labl>
          Military police
        </labl>
      </catgry>
      <catgry>
        <catValu>
          855
        </catValu>
        <labl>
          Civil police
        </labl>
      </catgry>
      <catgry>
        <catValu>
          856
        </catValu>
        <labl>
          Fire department
        </labl>
      </catgry>
      <catgry>
        <catValu>
          859
        </catValu>
        <labl>
          Other organizations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Foreign representations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          912
        </catValu>
        <labl>
          Activities not covered above
        </labl>
      </catgry>
      <catgry>
        <catValu>
          919
        </catValu>
        <labl>
          Poorly specified activities
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work: Industry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V117" name="BR1960A_0426" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="199" EndPos="199" width="1" RecSegNo="1"/>
      <labl>
        Class of worker
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

Only for people who worked in the year prior to the census date
[Applies to questions V - Z]




Z. Position in the occupation declared in question V


[] 85 public employee
[] 86 private employee
[] 87 self-employed
[] 88 partner (part or half ownership)
[] 89 employer
[] 90 member of family or institution]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[

The following questions will only be asked of those persons who worked during the year preceding the date of the census
(September 1, 1959, to August 31, 1960)
[Applies to questions V - Z]




Question Z - Position in the occupation declared in Question V.

The field with the response should be marked with an X, observing the following definitions:


Public employee - For those who receive remuneration from an organ of a federal, state or municipal government or of a government-owned company. Construction workers paid by the day will not be included in this group;
Private employee - For those who receive monetary payment or payment in kind (part of the production) for work which is rendered by the individual, company or institution. Persons such as Construction workers paid by the day by an organ of public administration will be included in this group;
Work by self-employed persons - For persons who exercise their activity individually or with the help of persons in the family (provided that these latter do not receive monetary payment);
Sharecropper - For those who work in a type of economic activity with a certain degree of autonomy (growing of crops, livestock raising, fishing, etc.) and who pay part of their production for the right to exercise this activity. In this case, sharecroppers who work individually or with the help of persons in the family (provided that these latter do not receive monetary payment) will be considered sharecroppers. Those who have employees should be classified as employers;
Employer - For those who are engaged, with their own resources, in a line of economic activity and who employ one or more employees. Persons who have only domestic help will not be included in this group;
Members of the family or institution - For those who help in the work of the head of the family or of other persons in the family and do not receive monetary payment and for those who are part of a religious, educational or charitable institution, etc. and do not receive direct remuneration.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        Persons age 10+ who are in the labor force
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the position in the workplace: whether the respondent is a public employee, private employee, self-employed, etc.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Family member
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Self-employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Sharecropper
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Don't Know
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V118" name="BR1960A_0429" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="200" EndPos="201" width="2" RecSegNo="1"/>
      <labl>
        Number of persons in family
      </labl>
      <qstn>
        <qstnLit>
          Number of persons in family
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="49"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the number of persons in the family.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V119" name="BR1960A_0430" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="202" EndPos="202" width="1" RecSegNo="1"/>
      <labl>
        Family type
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[

A. Type of family group [dwelling]


Living in private household:


[] 1 single
[] 3 living in household


Multiple family (convivente):


[] 2 collective]]>
        </qstnLit>
        <ivuInstr>
          <![CDATA[
Question A - The type of family group


The enumerator will mark an X in the following cases:


Single family group - when persons living in a private dwelling constitute a single family group;
Multiple family household [Grupo familiar convivente] - when 2 or 3 family groups live in a private dwelling. In this case, it would be well to note that:



a) Question A (Type of family group) will be filled out on the census forms of all family groups in multiple family households [grupo familiar convivente]
b) the enumerator will fill out the other questions on only one of the census forms referring to the multiple family households [Grupo familiar convivente]
c) this information placed on only one of the census forms will refer to the data of all the multiple family households [Grupos familiares conviventes]



Family group residing in collective dwelling - when filling out the census form of any family group enumerated in a collective dwelling; in this case the enumerator will not record anything for the other questions.]]>
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the type of family group, such as single family group, family group residing in collective dwelling, etc.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Private single household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Private household 1st family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private household 2nd family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Private household 3rd family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Collective household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Individual bulletin
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V120" name="BR1960A_0431" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="203" EndPos="203" width="1" RecSegNo="1"/>
      <labl>
        Family number within the household
      </labl>
      <qstn>
        <qstnLit>
          Family number within the household
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <universe clusion="I">
        All persons
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable gives the number of the subfamily to which the person belongs within the household (1 = first subfamily, 2 = second subfamily, etc.).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V121" name="PERWT" files="F2" dcml="2" intrvl="contin">
      <location StartPos="31" EndPos="38" width="8" RecSegNo="1"/>
      <labl>
        Person weight
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PERWT indicates the number of persons in the actual population represented by the person in the sample.

For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population.

NOTE: PERWT has 2 implied decimal places.  That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.]]>
      </txt>
      <codInstr>
        PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description.
      </codInstr>
      <concept vocab="IPUMS">
        Technical Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V122" name="YRSCHOOL" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="116" EndPos="117" width="2" RecSegNo="1"/>
      <labl>
        Years of schooling
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[YRSCHOOL indicates the highest grade/level of schooling the person had completed, in years. Only formal schooling is counted. YRSCHOOL accounts for the number of years of study, regardless of the track or kind of study. Information on degree and/or technical track is available in EDATTAIN. Years of schooling for Israel, categorized into intervals, are given in YRSCHOOL2.

Users should pay close attention to the top-codes in each sample, as discussed in the comparability section.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None or pre-school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18 years or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Some primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Some technical after primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Some secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Some tertiary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Adult literacy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Special education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Response suppressed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V123" name="MIGRATEP" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="145" EndPos="146" width="2" RecSegNo="1"/>
      <labl>
        Migration status, previous residence
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MIGRATEP indicates whether the person's most recent move (if any) was between minor administrative units, major units, or countries.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Same major administrative unit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Same major, same minor administrative unit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Same major, different minor administrative unit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Different major administrative unit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Response suppressed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not reported/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V124" name="EDATTAIN" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="112" EndPos="112" width="1" RecSegNo="1"/>
      <labl>
        Educational attainment, international recode [general version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. 

EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling.  EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States).  As always, users can refer to the original education source variables for each sample, if they wish.

Many samples also give single years of schooling completed, recorded in YRSCHOOL.   Some samples provide educational information in a form that could not be incorporated into EDATTAIN.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Less than primary completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          University completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V125" name="EDATTAIND" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="113" EndPos="115" width="3" RecSegNo="1"/>
      <labl>
        Educational attainment, international recode [detailed version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. 

EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling.  EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States).  As always, users can refer to the original education source variables for each sample, if they wish.

Many samples also give single years of schooling completed, recorded in YRSCHOOL.   Some samples provide educational information in a form that could not be incorporated into EDATTAIN.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Less than primary completed (n.s.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          No schooling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Some primary completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Primary (4 yrs) completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Primary (5 yrs) completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Primary (6 yrs) completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Lower secondary general completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Lower secondary technical completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Secondary, general track completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Some college completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Secondary or post-secondary technical completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Secondary, technical track completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Post-secondary technical education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          University completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V126" name="RELIGION" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="102" EndPos="102" width="1" RecSegNo="1"/>
      <labl>
        Religion [general version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        RELIGION indicates the person's religion, including "none."
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No religion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Buddhist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Hindu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Jewish
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Muslim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and Language Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V127" name="RELIGIOND" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="103" EndPos="106" width="4" RecSegNo="1"/>
      <labl>
        Religion [detailed version]
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        RELIGION indicates the person's religion, including "none."
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          No religion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1001
        </catValu>
        <labl>
          Atheist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1002
        </catValu>
        <labl>
          Without religion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          Buddhist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          Hindu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          Jewish
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          Muslim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5001
        </catValu>
        <labl>
          Khadrya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5002
        </catValu>
        <labl>
          Layenne
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5003
        </catValu>
        <labl>
          Mouride
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5004
        </catValu>
        <labl>
          Tidjane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5005
        </catValu>
        <labl>
          Ahmadis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5006
        </catValu>
        <labl>
          Sunni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5007
        </catValu>
        <labl>
          Shiek
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5008
        </catValu>
        <labl>
          Other Muslim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6000
        </catValu>
        <labl>
          Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6001
        </catValu>
        <labl>
          Catholic (Roman or unspecified)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6002
        </catValu>
        <labl>
          Orthodox
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6003
        </catValu>
        <labl>
          Protestant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6004
        </catValu>
        <labl>
          Evangelical protestant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6005
        </catValu>
        <labl>
          Pentacostal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6006
        </catValu>
        <labl>
          Adventist / Seventh-day adventist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6007
        </catValu>
        <labl>
          Anglican
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6008
        </catValu>
        <labl>
          Assembly of God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6009
        </catValu>
        <labl>
          Baptist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6010
        </catValu>
        <labl>
          Church of the Nazarene
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6011
        </catValu>
        <labl>
          Congregational
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6012
        </catValu>
        <labl>
          Dutch Reformed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6013
        </catValu>
        <labl>
          Episcopalian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6014
        </catValu>
        <labl>
          Jehovah's Witnesses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6015
        </catValu>
        <labl>
          Latter Day Saints (Mormon)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6016
        </catValu>
        <labl>
          Lutheran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6017
        </catValu>
        <labl>
          Mennonite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6018
        </catValu>
        <labl>
          Methodist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6019
        </catValu>
        <labl>
          New Apostolic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6020
        </catValu>
        <labl>
          Presbyterian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6021
        </catValu>
        <labl>
          Zion Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6100
        </catValu>
        <labl>
          Other Christian, Austria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6101
        </catValu>
        <labl>
          Old Catholic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6102
        </catValu>
        <labl>
          Protestant, Augsburg confession
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6103
        </catValu>
        <labl>
          Protestant, Westminster confession
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6104
        </catValu>
        <labl>
          Protestant, Helvetic confession
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6105
        </catValu>
        <labl>
          Greek Oriental
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6106
        </catValu>
        <labl>
          Armenian Apostolic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6107
        </catValu>
        <labl>
          Other Protestant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6108
        </catValu>
        <labl>
          Christian Community for renewal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6109
        </catValu>
        <labl>
          Christian Community, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6110
        </catValu>
        <labl>
          Other Christian, Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6111
        </catValu>
        <labl>
          Christian Congregation of Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6112
        </catValu>
        <labl>
          Brazilian Catholic Apostolic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6113
        </catValu>
        <labl>
          Brazil for Christ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6114
        </catValu>
        <labl>
          Foursquare Gospel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6115
        </catValu>
        <labl>
          Universal of the Kingdom of God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6116
        </catValu>
        <labl>
          House of the Blessing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6117
        </catValu>
        <labl>
          House of Prayer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6118
        </catValu>
        <labl>
          God is Love
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6119
        </catValu>
        <labl>
          Maranata
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6120
        </catValu>
        <labl>
          Other Christian, Brazil 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6121
        </catValu>
        <labl>
          Undetermined Protestant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6124
        </catValu>
        <labl>
          Other traditional Protestant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6125
        </catValu>
        <labl>
          Neo-Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6126
        </catValu>
        <labl>
          Other Neo-Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6127
        </catValu>
        <labl>
          Undetermined Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6128
        </catValu>
        <labl>
          Other Christian, Brazil 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6129
        </catValu>
        <labl>
          Other Catholic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6130
        </catValu>
        <labl>
          Renewed Evangelical Protestant without institutional ties
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6131
        </catValu>
        <labl>
          Pentecostal Evangelical without institutional ties
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6132
        </catValu>
        <labl>
          New Life Evangelical Protestant Pentecostal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6133
        </catValu>
        <labl>
          Evangelical Protestant Biblical Revival Pentecostal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6134
        </catValu>
        <labl>
          Chain Of Prayer Pentecostal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6135
        </catValu>
        <labl>
          Undetermined Evangelical Protestant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6136
        </catValu>
        <labl>
          Religion Of God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6137
        </catValu>
        <labl>
          Christian without institutional ties
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6138
        </catValu>
        <labl>
          Other Christian, Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6139
        </catValu>
        <labl>
          Other Catholic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6140
        </catValu>
        <labl>
          United Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6141
        </catValu>
        <labl>
          Protestant, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6142
        </catValu>
        <labl>
          Other Protestant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6143
        </catValu>
        <labl>
          Other Christian, Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6144
        </catValu>
        <labl>
          Oriental Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6145
        </catValu>
        <labl>
          Other Christian, Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6146
        </catValu>
        <labl>
          Other Christian, Iran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6147
        </catValu>
        <labl>
          Assyrian or Chaldean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6148
        </catValu>
        <labl>
          Armenian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6149
        </catValu>
        <labl>
          Other Christians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6150
        </catValu>
        <labl>
          Other Christian, Indonesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6151
        </catValu>
        <labl>
          Other Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6152
        </catValu>
        <labl>
          Protestant/Other Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6153
        </catValu>
        <labl>
          Other Christian, Ireland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6154
        </catValu>
        <labl>
          Quaker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6155
        </catValu>
        <labl>
          Other Christian, Jamaica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6156
        </catValu>
        <labl>
          Brethren
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6157
        </catValu>
        <labl>
          Church of God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6158
        </catValu>
        <labl>
          Church of God of Prophecy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6159
        </catValu>
        <labl>
          Other Church of God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6160
        </catValu>
        <labl>
          Moravian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6161
        </catValu>
        <labl>
          United Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6162
        </catValu>
        <labl>
          Salvation Army
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6163
        </catValu>
        <labl>
          New Testament
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6164
        </catValu>
        <labl>
          Disciples of Christ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6165
        </catValu>
        <labl>
          Other Christian, Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6166
        </catValu>
        <labl>
          Anabaptist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6167
        </catValu>
        <labl>
          Calvinist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6168
        </catValu>
        <labl>
          Cuaquera
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6169
        </catValu>
        <labl>
          Disciples of Christ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6170
        </catValu>
        <labl>
          Christian Friendship Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6171
        </catValu>
        <labl>
          Prayer House Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6172
        </catValu>
        <labl>
          Faith Center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6173
        </catValu>
        <labl>
          Agape Force Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6174
        </catValu>
        <labl>
          Alpha and Omega Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6175
        </catValu>
        <labl>
          Living Water Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6176
        </catValu>
        <labl>
          Apostolic Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6177
        </catValu>
        <labl>
          Church of God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6178
        </catValu>
        <labl>
          Church of God of Prophecy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6179
        </catValu>
        <labl>
          Complete Gospel Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6180
        </catValu>
        <labl>
          Evangelical Siblings Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6181
        </catValu>
        <labl>
          Upper Room Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6182
        </catValu>
        <labl>
          Pentacostal Indigenous Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6183
        </catValu>
        <labl>
          Angular Stone Voice Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6184
        </catValu>
        <labl>
          Pentacostal Missionary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6185
        </catValu>
        <labl>
          Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6186
        </catValu>
        <labl>
          Christian Societies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6187
        </catValu>
        <labl>
          Evangelical
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6188
        </catValu>
        <labl>
          Evangelical Societies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6189
        </catValu>
        <labl>
          New Testament Evangelical
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6190
        </catValu>
        <labl>
          Pentecostal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6191
        </catValu>
        <labl>
          Pentecostal Societies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6192
        </catValu>
        <labl>
          Independent Pentecostal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6193
        </catValu>
        <labl>
          Evangelical Christian Societies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6194
        </catValu>
        <labl>
          Pentecostal Christian Societies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6195
        </catValu>
        <labl>
          Evangelical Pentecostal Societies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6196
        </catValu>
        <labl>
          Evangelical Pentecostal Christian Societies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6197
        </catValu>
        <labl>
          Soldiers of Christ's Cross Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6198
        </catValu>
        <labl>
          Tabernacle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6199
        </catValu>
        <labl>
          Traditionalists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6200
        </catValu>
        <labl>
          Other Evangelical Pentecostal Societies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6201
        </catValu>
        <labl>
          Pentecostal not clearly specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6202
        </catValu>
        <labl>
          Living God, Light of the World
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6203
        </catValu>
        <labl>
          Christian and Missionary Alliance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6204
        </catValu>
        <labl>
          Non-Pentecostal Apostolic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6205
        </catValu>
        <labl>
          Evangelical Associations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6206
        </catValu>
        <labl>
          Biblical
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6207
        </catValu>
        <labl>
          Confraternities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6208
        </catValu>
        <labl>
          Christ Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6209
        </catValu>
        <labl>
          Peace Grace and Misericordia Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6210
        </catValu>
        <labl>
          Open Bible Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6211
        </catValu>
        <labl>
          Holiness Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6212
        </catValu>
        <labl>
          Evangelical Salem Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6213
        </catValu>
        <labl>
          Beautiful Woman Dressed in the Sun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6214
        </catValu>
        <labl>
          Messianic Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6215
        </catValu>
        <labl>
          Evangelical Ministers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6216
        </catValu>
        <labl>
          Evangelical Missionaries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6217
        </catValu>
        <labl>
          Evangelical Movements
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6218
        </catValu>
        <labl>
          New Jerusalem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6219
        </catValu>
        <labl>
          World Vision Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6220
        </catValu>
        <labl>
          Evangelical not clearly specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6221
        </catValu>
        <labl>
          Biblical - non-evangelicals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6222
        </catValu>
        <labl>
          Other Christians not clearly specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6223
        </catValu>
        <labl>
          Assumptionist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6224
        </catValu>
        <labl>
          Carmelite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6225
        </catValu>
        <labl>
          Claretian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6226
        </catValu>
        <labl>
          Conception Franciscan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6227
        </catValu>
        <labl>
          Maronite Diocese of Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6228
        </catValu>
        <labl>
          Dominican
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6229
        </catValu>
        <labl>
          Servants of Mary Immaculate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6230
        </catValu>
        <labl>
          Franciscan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6231
        </catValu>
        <labl>
          Guadalupan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6232
        </catValu>
        <labl>
          Daughters of the Immaculate Conception
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6233
        </catValu>
        <labl>
          Jesuit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6234
        </catValu>
        <labl>
          Legionaries of Christ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6235
        </catValu>
        <labl>
          Divine Word Missionary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6236
        </catValu>
        <labl>
          Pauline
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6237
        </catValu>
        <labl>
          Sacred Heart
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6238
        </catValu>
        <labl>
          Saint Joseph of Tarbes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6239
        </catValu>
        <labl>
          Servant of the Lord and the Virgin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6240
        </catValu>
        <labl>
          Servant of Jesus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6241
        </catValu>
        <labl>
          Greek Catholic Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6242
        </catValu>
        <labl>
          Reformed Roman Catholic Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6243
        </catValu>
        <labl>
          Mexican National Catholic Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6244
        </catValu>
        <labl>
          Tridentine Latin Rite Catholic Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6245
        </catValu>
        <labl>
          Priestly Society Trento
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6246
        </catValu>
        <labl>
          Mexican Catholic Union of Trento
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6247
        </catValu>
        <labl>
          Anabaptist / Memnonite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6248
        </catValu>
        <labl>
          Anglican / Episcopal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6249
        </catValu>
        <labl>
          House of Prayer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6250
        </catValu>
        <labl>
          Center of Faith, Hope and Love of the Missionary Revival Crusade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6251
        </catValu>
        <labl>
          Center of Faith, Hope and Love Agape Force
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6252
        </catValu>
        <labl>
          Salvation Army
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6253
        </catValu>
        <labl>
          Independent Pentecostal Fellowship
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6254
        </catValu>
        <labl>
          Upper Chamber Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6255
        </catValu>
        <labl>
          Faith Apostolic Church of Jesus Christ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6256
        </catValu>
        <labl>
          Spiritual Christian Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6257
        </catValu>
        <labl>
          Pentecostal Evangelical Christian Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6258
        </catValu>
        <labl>
          Interdenominational Christian Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6259
        </catValu>
        <labl>
          Church of God Full Gospel in Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6260
        </catValu>
        <labl>
          Church of Jesus Christ on the Rock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6261
        </catValu>
        <labl>
          Christ Evangelical Pentecostal Church Rock of my Salvation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6262
        </catValu>
        <labl>
          Mexican Church of Christ's Gospel Pentecost
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6263
        </catValu>
        <labl>
          United Pentecostal Church of Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6264
        </catValu>
        <labl>
          Universal Church of the Kingdom of God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6265
        </catValu>
        <labl>
          Only Christ Savior Christian Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6266
        </catValu>
        <labl>
          Independent Evangelical Pentecostal Movement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6267
        </catValu>
        <labl>
          Prince of Peace
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6268
        </catValu>
        <labl>
          National Union of Evangelical Christian Churches (UNICE)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6269
        </catValu>
        <labl>
          Union of Independent Evangelical Churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6270
        </catValu>
        <labl>
          Other associations Pentecostal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6271
        </catValu>
        <labl>
          Church of the Living God, Pillar and Support of Truth, the Light of the World
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6272
        </catValu>
        <labl>
          Bible Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6273
        </catValu>
        <labl>
          Interdenominational Christian Church in Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6274
        </catValu>
        <labl>
          Church of Christ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6275
        </catValu>
        <labl>
          Honey Church of Christ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6276
        </catValu>
        <labl>
          Independent Evangelical Church in Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6277
        </catValu>
        <labl>
          Renewed Church of Jesus Christ and the Apostles of Divine Love
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6278
        </catValu>
        <labl>
          Other Christian and Evangelical associations without Pentecostal support
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6279
        </catValu>
        <labl>
          Faith Christian Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6280
        </catValu>
        <labl>
          Traditional Apostolic Catholic Holy Church Mexico-USA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6281
        </catValu>
        <labl>
          Mexican Apostolic Catholic Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6282
        </catValu>
        <labl>
          Elias
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6283
        </catValu>
        <labl>
          Spiritualistic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6284
        </catValu>
        <labl>
          Spiritualist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6285
        </catValu>
        <labl>
          Marian Trinitarian Spirituality
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6286
        </catValu>
        <labl>
          Spirituality of the Third Age
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6287
        </catValu>
        <labl>
          Christian Spiritual
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6288
        </catValu>
        <labl>
          Judiciary Society Reign of Leonardo Alcalá Leos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6289
        </catValu>
        <labl>
          Spirituality for the Divine Master and the purity of Mary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6290
        </catValu>
        <labl>
          Light and Hope
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6291
        </catValu>
        <labl>
          Holy Spirit, Purity, Love and Light
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6292
        </catValu>
        <labl>
          Christian Science
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6293
        </catValu>
        <labl>
          Other Christian, Netherlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6294
        </catValu>
        <labl>
          Reformed Churches in The Netherlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6295
        </catValu>
        <labl>
          Other Reformed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6296
        </catValu>
        <labl>
          Other Christian, Nicaragua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6297
        </catValu>
        <labl>
          Moravian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6298
        </catValu>
        <labl>
          Other Christian, Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6299
        </catValu>
        <labl>
          Aglipay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6300
        </catValu>
        <labl>
          Bible Christian Committees
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6301
        </catValu>
        <labl>
          Born-again Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6302
        </catValu>
        <labl>
          Bread of Life Ministries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6303
        </catValu>
        <labl>
          Charismatic Full Gospel Ministries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6304
        </catValu>
        <labl>
          Christ the Living Stone Fellowship
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6305
        </catValu>
        <labl>
          Christian and Missionary Alliance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6306
        </catValu>
        <labl>
          Christians Missions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6307
        </catValu>
        <labl>
          Church of Christ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6308
        </catValu>
        <labl>
          Evangelical Christian Outreach Foundation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6309
        </catValu>
        <labl>
          Evangelical Free Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6310
        </catValu>
        <labl>
          Filipino Assemblies of the First Born Inc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6311
        </catValu>
        <labl>
          Foursquare Gospel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6312
        </catValu>
        <labl>
          Free Believers in Christ Fellowship
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6313
        </catValu>
        <labl>
          Free Mission in the Philippines Inc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6314
        </catValu>
        <labl>
          God World Mission
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6315
        </catValu>
        <labl>
          Good News Christian Churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6316
        </catValu>
        <labl>
          IEMELIF Reform Movement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6317
        </catValu>
        <labl>
          Iglesia Evangelista Methodista en Las
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6318
        </catValu>
        <labl>
          Iglesia ni Cristo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6319
        </catValu>
        <labl>
          Jesus Christ Saves Global Outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6320
        </catValu>
        <labl>
          Jesus is Lord Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6321
        </catValu>
        <labl>
          Jesus Reigns Ministries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6322
        </catValu>
        <labl>
          Love of Christ International Ministries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6323
        </catValu>
        <labl>
          Other evangelical
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6324
        </catValu>
        <labl>
          Other Evangelical Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6325
        </catValu>
        <labl>
          Other Protestants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6326
        </catValu>
        <labl>
          Philippine Evangelical Mission
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6327
        </catValu>
        <labl>
          Philippine Grace Gospel Fellowship
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6328
        </catValu>
        <labl>
          Philippines Benevolent Missionaries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6329
        </catValu>
        <labl>
          Potter's House Christian Center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6330
        </catValu>
        <labl>
          Salvation Army Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6331
        </catValu>
        <labl>
          Take the Nation for Jesus Global Ministries (Corpus Christi)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6332
        </catValu>
        <labl>
          UNIDA Evangelical Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6333
        </catValu>
        <labl>
          United Church of Christ in the Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6334
        </catValu>
        <labl>
          United Evangelical Church of the Philippines (Chinese)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6335
        </catValu>
        <labl>
          Victory Chapel Christian Fellowship
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6336
        </catValu>
        <labl>
          Wesleyan Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6337
        </catValu>
        <labl>
          World Missionary Evangelism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6338
        </catValu>
        <labl>
          Worldwide Church of God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6339
        </catValu>
        <labl>
          Zion Christian Community Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6340
        </catValu>
        <labl>
          Other Christian, Portugal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6341
        </catValu>
        <labl>
          Other Christian, Romania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6342
        </catValu>
        <labl>
          Greek Catholic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6343
        </catValu>
        <labl>
          Reformed Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6344
        </catValu>
        <labl>
          Evangelic of Augustan Confession
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6345
        </catValu>
        <labl>
          Evangelic Synodo-Presbyterian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6346
        </catValu>
        <labl>
          Christian of Old Rite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6347
        </catValu>
        <labl>
          Christian by Gospel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6348
        </catValu>
        <labl>
          Evangelic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6349
        </catValu>
        <labl>
          Other Christian, Rwanda 2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6350
        </catValu>
        <labl>
          Other Christian, Sierra Leone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6351
        </catValu>
        <labl>
          Other Christian, South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6352
        </catValu>
        <labl>
          Reformed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6353
        </catValu>
        <labl>
          International Fellowship of Christian Churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6354
        </catValu>
        <labl>
          Apostolic Faith Mission of SA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6355
        </catValu>
        <labl>
          Other Apostolic Churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6356
        </catValu>
        <labl>
          Pinkster Protestant Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6357
        </catValu>
        <labl>
          Afrikaanse Protestant Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6358
        </catValu>
        <labl>
          Full Gospel Church of God in Southern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6359
        </catValu>
        <labl>
          Pentecostal Churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6360
        </catValu>
        <labl>
          Salvation Army
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6361
        </catValu>
        <labl>
          Bandla Lama Nazaretha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6362
        </catValu>
        <labl>
          African Methodist Episcopal Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6363
        </catValu>
        <labl>
          St John's Apostolic Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6364
        </catValu>
        <labl>
          International Pentecost Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6365
        </catValu>
        <labl>
          Ethiopian type churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6366
        </catValu>
        <labl>
          Ethnic churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6367
        </catValu>
        <labl>
          Other African Independent Churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6368
        </catValu>
        <labl>
          Other Christian Churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6369
        </catValu>
        <labl>
          Other Catholic Churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6370
        </catValu>
        <labl>
          Other Pentecostal Churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6371
        </catValu>
        <labl>
          Other Orthodox Churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6372
        </catValu>
        <labl>
          Other African Apostolic churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6373
        </catValu>
        <labl>
          Other Assemblies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6374
        </catValu>
        <labl>
          Christian Scientist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6375
        </catValu>
        <labl>
          Christian Centres
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6376
        </catValu>
        <labl>
          Other Evangelical Churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6377
        </catValu>
        <labl>
          Other Charismatic Churches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6378
        </catValu>
        <labl>
          Other Christian, Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6379
        </catValu>
        <labl>
          Other Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6380
        </catValu>
        <labl>
          Other Christian, Saint Lucia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6381
        </catValu>
        <labl>
          Church of God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6382
        </catValu>
        <labl>
          Other Christian, Senegal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6383
        </catValu>
        <labl>
          Other Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6384
        </catValu>
        <labl>
          Other Christian, Switzerland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6385
        </catValu>
        <labl>
          Other protestant churches and communities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6386
        </catValu>
        <labl>
          Christ-Catholic church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6387
        </catValu>
        <labl>
          Other Christian communities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6388
        </catValu>
        <labl>
          Other Christian non-Catholic, Uruguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6389
        </catValu>
        <labl>
          Other Christian, Fiji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6390
        </catValu>
        <labl>
          Christian undefined
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6391
        </catValu>
        <labl>
          Church of England
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6392
        </catValu>
        <labl>
          Gospel Hall and Brethern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6393
        </catValu>
        <labl>
          CMF (Every Home)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6394
        </catValu>
        <labl>
          Salvation Army
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6395
        </catValu>
        <labl>
          All Nations Christian Fellowship
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6396
        </catValu>
        <labl>
          Apostles Gospel Outreach Fellowship
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6397
        </catValu>
        <labl>
          Christian Outreach Centre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6398
        </catValu>
        <labl>
          Other Christian, Brazil 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6399
        </catValu>
        <labl>
          Salvation Army
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6400
        </catValu>
        <labl>
          Other Christian, Cameroon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6401
        </catValu>
        <labl>
          Other Christian, Armenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6402
        </catValu>
        <labl>
          Armenia apostolic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6403
        </catValu>
        <labl>
          Nestorian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6404
        </catValu>
        <labl>
          Molokai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6406
        </catValu>
        <labl>
          Other Christian, Paraguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6408
        </catValu>
        <labl>
          Christian Community
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6409
        </catValu>
        <labl>
          Free Brothers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6410
        </catValu>
        <labl>
          Church of God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6411
        </catValu>
        <labl>
          Church of God of Prophecy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6412
        </catValu>
        <labl>
          New testament
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6414
        </catValu>
        <labl>
          God is love
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6415
        </catValu>
        <labl>
          Universal Church of the Kingdom of God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6416
        </catValu>
        <labl>
          People of God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6417
        </catValu>
        <labl>
          Family worship center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6418
        </catValu>
        <labl>
          Pseudo-Christian groups
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6419
        </catValu>
        <labl>
          Other Christian, Paraguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7000
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7001
        </catValu>
        <labl>
          Bahai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7002
        </catValu>
        <labl>
          Sikh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7003
        </catValu>
        <labl>
          Other, Austria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7004
        </catValu>
        <labl>
          Unification Church, Austria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7005
        </catValu>
        <labl>
          Other, Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7006
        </catValu>
        <labl>
          Spiritist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7007
        </catValu>
        <labl>
          Kardecist Spiritist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7008
        </catValu>
        <labl>
          Afro Spiritist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7009
        </catValu>
        <labl>
          Mediumistic Spiritist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7010
        </catValu>
        <labl>
          Umbandist Mediumistic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7011
        </catValu>
        <labl>
          Candomblecist Mediumistic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7012
        </catValu>
        <labl>
          Other Afro-Brazilian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7013
        </catValu>
        <labl>
          Oriental, Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7014
        </catValu>
        <labl>
          New Oriental
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7015
        </catValu>
        <labl>
          Oriental Seicho No-le
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7016
        </catValu>
        <labl>
          Other Oriental, Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7017
        </catValu>
        <labl>
          Esoteric, Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7018
        </catValu>
        <labl>
          Indigenous, Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7019
        </catValu>
        <labl>
          Other minority groups, Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7020
        </catValu>
        <labl>
          Other, Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7021
        </catValu>
        <labl>
          Eastern religions, Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7022
        </catValu>
        <labl>
          Other, Chile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7023
        </catValu>
        <labl>
          Theosophism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7024
        </catValu>
        <labl>
          Shintoism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7025
        </catValu>
        <labl>
          Other, Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7026
        </catValu>
        <labl>
          Other, Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7027
        </catValu>
        <labl>
          Other, Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7028
        </catValu>
        <labl>
          Traditional, Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7029
        </catValu>
        <labl>
          Other, Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7030
        </catValu>
        <labl>
          Animist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7031
        </catValu>
        <labl>
          Other, Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7032
        </catValu>
        <labl>
          Other, India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7033
        </catValu>
        <labl>
          Jainism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7034
        </catValu>
        <labl>
          Zoroastrianism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7035
        </catValu>
        <labl>
          Other, India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7036
        </catValu>
        <labl>
          Other, Indonesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7037
        </catValu>
        <labl>
          Confucianism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7038
        </catValu>
        <labl>
          Other, Indonesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7039
        </catValu>
        <labl>
          Other, Iran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7040
        </catValu>
        <labl>
          Zoroastrian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7041
        </catValu>
        <labl>
          Other, Iran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7042
        </catValu>
        <labl>
          Other, Jamaica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7043
        </catValu>
        <labl>
          Muslim/Hindu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7044
        </catValu>
        <labl>
          Rastafarian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7045
        </catValu>
        <labl>
          Other, Israel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7046
        </catValu>
        <labl>
          Druse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7047
        </catValu>
        <labl>
          Other, Israel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7048
        </catValu>
        <labl>
          Other, Malaysia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7049
        </catValu>
        <labl>
          Confucianism/Taoism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7050
        </catValu>
        <labl>
          Tribal/Folk religion, Malaysia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7051
        </catValu>
        <labl>
          Other, Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7052
        </catValu>
        <labl>
          Brahmanism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7053
        </catValu>
        <labl>
          Hare Krishna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7054
        </catValu>
        <labl>
          Shintoism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7055
        </catValu>
        <labl>
          Taoism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7056
        </catValu>
        <labl>
          Mexican Movements
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7057
        </catValu>
        <labl>
          Ananda Marga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7058
        </catValu>
        <labl>
          Church of Scientology
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7059
        </catValu>
        <labl>
          Masons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7060
        </catValu>
        <labl>
          Raelian Movement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7061
        </catValu>
        <labl>
          New Age Movement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7062
        </catValu>
        <labl>
          Neoisraelites
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7063
        </catValu>
        <labl>
          Occultists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7064
        </catValu>
        <labl>
          Palmar of Troya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7065
        </catValu>
        <labl>
          Rose Cross
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7066
        </catValu>
        <labl>
          Theosophism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7067
        </catValu>
        <labl>
          Spiritualist Special Keys
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7068
        </catValu>
        <labl>
          Onkaranada Center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7069
        </catValu>
        <labl>
          Confucianism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7070
        </catValu>
        <labl>
          Shia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7071
        </catValu>
        <labl>
          Universal Great Brotherhood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7072
        </catValu>
        <labl>
          Esoteric Science
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7073
        </catValu>
        <labl>
          Gnosticism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7074
        </catValu>
        <labl>
          Metaphysics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7075
        </catValu>
        <labl>
          Wicca
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7076
        </catValu>
        <labl>
          Shamanism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7077
        </catValu>
        <labl>
          The Custom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7078
        </catValu>
        <labl>
          Mexicayotl
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7079
        </catValu>
        <labl>
          Restorative Confederate Movement of Anahuac Culture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7080
        </catValu>
        <labl>
          African Origin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7081
        </catValu>
        <labl>
          Rastafarians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7082
        </catValu>
        <labl>
          Indigenous Religions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7083
        </catValu>
        <labl>
          Growing in Grace
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7084
        </catValu>
        <labl>
          Eckankar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7085
        </catValu>
        <labl>
          Transcendental Meditation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7086
        </catValu>
        <labl>
          Mission Branch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7087
        </catValu>
        <labl>
          Children of God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7088
        </catValu>
        <labl>
          Sri Sathya Sai Baba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7089
        </catValu>
        <labl>
          Other new religious movements
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7090
        </catValu>
        <labl>
          Other, Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7091
        </catValu>
        <labl>
          Door of Faith
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7092
        </catValu>
        <labl>
          Faith Tabernacle Church (Living Rock Ministries)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7093
        </catValu>
        <labl>
          International One Way Outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7094
        </catValu>
        <labl>
          Miracle Life Fellowship International
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7095
        </catValu>
        <labl>
          Miracle Revival Church of the Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7096
        </catValu>
        <labl>
          Philippine Good News Ministries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7097
        </catValu>
        <labl>
          Philippine Missionary fellowship
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7098
        </catValu>
        <labl>
          Things to Come
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7099
        </catValu>
        <labl>
          Way of Salvation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7100
        </catValu>
        <labl>
          Word of the World
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7101
        </catValu>
        <labl>
          Tribal Religions, Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7102
        </catValu>
        <labl>
          Other, Romania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7103
        </catValu>
        <labl>
          Unitarian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7104
        </catValu>
        <labl>
          Armenian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7105
        </catValu>
        <labl>
          Mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7106
        </catValu>
        <labl>
          Other, Romania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7107
        </catValu>
        <labl>
          Other, Rwanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7108
        </catValu>
        <labl>
          Traditional religion, Rwanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7109
        </catValu>
        <labl>
          Other, Rwanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7110
        </catValu>
        <labl>
          Other, Sierra Leone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7111
        </catValu>
        <labl>
          Traditional religion, Sierra Leone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7112
        </catValu>
        <labl>
          Other, South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7113
        </catValu>
        <labl>
          African traditional belief
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7114
        </catValu>
        <labl>
          Taoist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7115
        </catValu>
        <labl>
          Confucian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7116
        </catValu>
        <labl>
          New Age
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7117
        </catValu>
        <labl>
          Other non-Christian, S. Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7118
        </catValu>
        <labl>
          Other, Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7119
        </catValu>
        <labl>
          Traditional religion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7120
        </catValu>
        <labl>
          Other non-Christian, Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7121
        </catValu>
        <labl>
          Other, United Kindom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7122
        </catValu>
        <labl>
          Other, Vietnam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7123
        </catValu>
        <labl>
          Hoa Hoa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7124
        </catValu>
        <labl>
          Cao Dai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7125
        </catValu>
        <labl>
          Other, Nepal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7126
        </catValu>
        <labl>
          Kirat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7127
        </catValu>
        <labl>
          Jain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7128
        </catValu>
        <labl>
          Garaute
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7129
        </catValu>
        <labl>
          Tap jura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7130
        </catValu>
        <labl>
          Other, Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7131
        </catValu>
        <labl>
          Ahmadi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7132
        </catValu>
        <labl>
          Parsi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7133
        </catValu>
        <labl>
          Scheduled caste
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7134
        </catValu>
        <labl>
          Other, Saint Lucia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7135
        </catValu>
        <labl>
          Rastafarian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7136
        </catValu>
        <labl>
          Other, Thailand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7137
        </catValu>
        <labl>
          Confucian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7138
        </catValu>
        <labl>
          Other, Uruguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7139
        </catValu>
        <labl>
          Umbanda/other Afro-American
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7140
        </catValu>
        <labl>
          Other, Uruguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7141
        </catValu>
        <labl>
          Other, Burkina Faso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7142
        </catValu>
        <labl>
          Animist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7143
        </catValu>
        <labl>
          Other, Fiji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7144
        </catValu>
        <labl>
          Confucian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7145
        </catValu>
        <labl>
          Kabir Panthi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7146
        </catValu>
        <labl>
          Satya Sai Baba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7147
        </catValu>
        <labl>
          Bahai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7148
        </catValu>
        <labl>
          Other non-Christian, Fiji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7149
        </catValu>
        <labl>
          Other, Haiti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7150
        </catValu>
        <labl>
          Voodoo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7151
        </catValu>
        <labl>
          Other, Cameroon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7152
        </catValu>
        <labl>
          Animist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7153
        </catValu>
        <labl>
          Other, Liberia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7154
        </catValu>
        <labl>
          Traditional
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7155
        </catValu>
        <labl>
          Other, Mali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7156
        </catValu>
        <labl>
          Animist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7157
        </catValu>
        <labl>
          Other, Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7158
        </catValu>
        <labl>
          Traditional
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7159
        </catValu>
        <labl>
          Other, Armenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7160
        </catValu>
        <labl>
          Pagan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7161
        </catValu>
        <labl>
          Shar-fadinian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7162
        </catValu>
        <labl>
          Other, Ethiopia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7163
        </catValu>
        <labl>
          Traditional
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7164
        </catValu>
        <labl>
          Other, Ethiopia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7165
        </catValu>
        <labl>
          Other, Paraguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7166
        </catValu>
        <labl>
          Philosophical revelations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7167
        </catValu>
        <labl>
          Indigenous religion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7168
        </catValu>
        <labl>
          Reyukai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7169
        </catValu>
        <labl>
          Other, Paraguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7900
        </catValu>
        <labl>
          Other, not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and Language Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V128" name="BPLCOUNTRY" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="95" EndPos="99" width="5" RecSegNo="1"/>
      <labl>
        Country of birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BPLCOUNTRY indicates the person's country of birth.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10000
        </catValu>
        <labl>
          Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11000
        </catValu>
        <labl>
          Eastern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11010
        </catValu>
        <labl>
          Burundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11020
        </catValu>
        <labl>
          Comoros
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11030
        </catValu>
        <labl>
          Djibouti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11040
        </catValu>
        <labl>
          Eritrea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11050
        </catValu>
        <labl>
          Ethiopia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11051
        </catValu>
        <labl>
          Ethiopia (including Eritrea)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11060
        </catValu>
        <labl>
          Kenya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11070
        </catValu>
        <labl>
          Madagascar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11080
        </catValu>
        <labl>
          Malawi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11090
        </catValu>
        <labl>
          Mauritius
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11100
        </catValu>
        <labl>
          Mozambique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11110
        </catValu>
        <labl>
          Reunion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11120
        </catValu>
        <labl>
          Rwanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11130
        </catValu>
        <labl>
          Seychelles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11140
        </catValu>
        <labl>
          Somalia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11150
        </catValu>
        <labl>
          South Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11160
        </catValu>
        <labl>
          Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11170
        </catValu>
        <labl>
          Tanzania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11180
        </catValu>
        <labl>
          Zambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11190
        </catValu>
        <labl>
          Zimbabwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11990
        </catValu>
        <labl>
          Eastern Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12000
        </catValu>
        <labl>
          Middle Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12010
        </catValu>
        <labl>
          Angola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12020
        </catValu>
        <labl>
          Cameroon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12030
        </catValu>
        <labl>
          Central African Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12040
        </catValu>
        <labl>
          Chad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12050
        </catValu>
        <labl>
          Congo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12060
        </catValu>
        <labl>
          Democratic Republic of Congo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12070
        </catValu>
        <labl>
          Equatorial Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12080
        </catValu>
        <labl>
          Gabon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12090
        </catValu>
        <labl>
          Sao Tome and Principe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12990
        </catValu>
        <labl>
          Middle Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13000
        </catValu>
        <labl>
          Northern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13010
        </catValu>
        <labl>
          Algeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13011
        </catValu>
        <labl>
          Algeria/Tunisia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13020
        </catValu>
        <labl>
          Egypt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13021
        </catValu>
        <labl>
          Egypt/Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13030
        </catValu>
        <labl>
          Libya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13040
        </catValu>
        <labl>
          Morocco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13050
        </catValu>
        <labl>
          Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13060
        </catValu>
        <labl>
          Tunisia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13070
        </catValu>
        <labl>
          Western Sahara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13990
        </catValu>
        <labl>
          Northern Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14000
        </catValu>
        <labl>
          Southern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14010
        </catValu>
        <labl>
          Botswana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14020
        </catValu>
        <labl>
          Lesotho
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14030
        </catValu>
        <labl>
          Namibia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14040
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14050
        </catValu>
        <labl>
          Swaziland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14990
        </catValu>
        <labl>
          Southern Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15000
        </catValu>
        <labl>
          Western Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15010
        </catValu>
        <labl>
          Benin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15020
        </catValu>
        <labl>
          Burkina Faso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15021
        </catValu>
        <labl>
          Upper Volta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15030
        </catValu>
        <labl>
          Cape Verde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15040
        </catValu>
        <labl>
          Ivory Coast
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15050
        </catValu>
        <labl>
          Gambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15060
        </catValu>
        <labl>
          Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15070
        </catValu>
        <labl>
          Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15080
        </catValu>
        <labl>
          Guinea-Bissau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15081
        </catValu>
        <labl>
          Guinea-Bissau and Cape Verde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15090
        </catValu>
        <labl>
          Liberia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15100
        </catValu>
        <labl>
          Mali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15110
        </catValu>
        <labl>
          Mauritania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15120
        </catValu>
        <labl>
          Niger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15130
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15140
        </catValu>
        <labl>
          St. Helena and Ascension
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15150
        </catValu>
        <labl>
          Senegal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15160
        </catValu>
        <labl>
          Sierra Leone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15170
        </catValu>
        <labl>
          Togo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15990
        </catValu>
        <labl>
          West Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19990
        </catValu>
        <labl>
          Africa, other and n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19991
        </catValu>
        <labl>
          Central and South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19992
        </catValu>
        <labl>
          East and Central Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19993
        </catValu>
        <labl>
          Southeastern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19994
        </catValu>
        <labl>
          Saharan Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20000
        </catValu>
        <labl>
          Americas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21000
        </catValu>
        <labl>
          Caribbean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21010
        </catValu>
        <labl>
          Anguilla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21020
        </catValu>
        <labl>
          Antigua-Barbuda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21030
        </catValu>
        <labl>
          Aruba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21040
        </catValu>
        <labl>
          Bahamas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21050
        </catValu>
        <labl>
          Barbados
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21060
        </catValu>
        <labl>
          British Virgin Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21070
        </catValu>
        <labl>
          Cayman Isles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21080
        </catValu>
        <labl>
          Cuba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21090
        </catValu>
        <labl>
          Dominica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21100
        </catValu>
        <labl>
          Dominican Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21110
        </catValu>
        <labl>
          Grenada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21120
        </catValu>
        <labl>
          Guadeloupe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21130
        </catValu>
        <labl>
          Haiti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21140
        </catValu>
        <labl>
          Jamaica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21150
        </catValu>
        <labl>
          Martinique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21160
        </catValu>
        <labl>
          Montserrat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21170
        </catValu>
        <labl>
          Netherlands Antilles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21180
        </catValu>
        <labl>
          Puerto Rico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21190
        </catValu>
        <labl>
          St. Kitts-Nevis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21200
        </catValu>
        <labl>
          St. Croix
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21210
        </catValu>
        <labl>
          St. John
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21220
        </catValu>
        <labl>
          St. Lucia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21230
        </catValu>
        <labl>
          St Thomas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21240
        </catValu>
        <labl>
          St. Vincent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21250
        </catValu>
        <labl>
          Trinidad and Tobago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21260
        </catValu>
        <labl>
          Turks and Caicos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21270
        </catValu>
        <labl>
          U.S. Virgin Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21990
        </catValu>
        <labl>
          Other Caribbean and n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21991
        </catValu>
        <labl>
          Caribbean commonwealth, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22000
        </catValu>
        <labl>
          Central America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22010
        </catValu>
        <labl>
          Belize/British Honduras
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22020
        </catValu>
        <labl>
          Costa Rica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22030
        </catValu>
        <labl>
          El Salvador
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22040
        </catValu>
        <labl>
          Guatemala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22050
        </catValu>
        <labl>
          Honduras
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22060
        </catValu>
        <labl>
          Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22070
        </catValu>
        <labl>
          Nicaragua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22080
        </catValu>
        <labl>
          Panama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22081
        </catValu>
        <labl>
          Panama Canal Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22990
        </catValu>
        <labl>
          Central America, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22991
        </catValu>
        <labl>
          Central America and Caribbean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23000
        </catValu>
        <labl>
          South America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23010
        </catValu>
        <labl>
          Argentina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23020
        </catValu>
        <labl>
          Bolivia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23030
        </catValu>
        <labl>
          Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23040
        </catValu>
        <labl>
          Chile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23050
        </catValu>
        <labl>
          Colombia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23060
        </catValu>
        <labl>
          Ecuador
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23070
        </catValu>
        <labl>
          Falkland Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23080
        </catValu>
        <labl>
          French Guiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23090
        </catValu>
        <labl>
          Guyana/British Guiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23100
        </catValu>
        <labl>
          Paraguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23110
        </catValu>
        <labl>
          Peru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23120
        </catValu>
        <labl>
          Suriname
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23130
        </catValu>
        <labl>
          Uruguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23140
        </catValu>
        <labl>
          Venezuela
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23990
        </catValu>
        <labl>
          South America, other and n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23991
        </catValu>
        <labl>
          South America or Central America, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23992
        </catValu>
        <labl>
          Central/South America and Caribbean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24000
        </catValu>
        <labl>
          North America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24010
        </catValu>
        <labl>
          Bermuda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24020
        </catValu>
        <labl>
          Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24030
        </catValu>
        <labl>
          Greenland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24040
        </catValu>
        <labl>
          United States
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24990
        </catValu>
        <labl>
          North America, other and n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24991
        </catValu>
        <labl>
          North America/Oceania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29990
        </catValu>
        <labl>
          Americas, other and n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30000
        </catValu>
        <labl>
          Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31000
        </catValu>
        <labl>
          Eastern Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31010
        </catValu>
        <labl>
          China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31011
        </catValu>
        <labl>
          Hong Kong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31012
        </catValu>
        <labl>
          Macau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31013
        </catValu>
        <labl>
          Taiwan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31020
        </catValu>
        <labl>
          Japan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31030
        </catValu>
        <labl>
          Korea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31031
        </catValu>
        <labl>
          Korea, DPR (North)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31032
        </catValu>
        <labl>
          Korea, RO (South)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31040
        </catValu>
        <labl>
          Mongolia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31990
        </catValu>
        <labl>
          Eastern Asia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32000
        </catValu>
        <labl>
          South-Central Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32010
        </catValu>
        <labl>
          Afghanistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32020
        </catValu>
        <labl>
          Bangladesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32030
        </catValu>
        <labl>
          Bhutan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32040
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32041
        </catValu>
        <labl>
          India/Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32042
        </catValu>
        <labl>
          India/Pakistan/Bangladesh/Sri Lanka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32050
        </catValu>
        <labl>
          Iran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32060
        </catValu>
        <labl>
          Kazakhstan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32070
        </catValu>
        <labl>
          Kyrgyzstan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32080
        </catValu>
        <labl>
          Maldives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32090
        </catValu>
        <labl>
          Nepal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32100
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32101
        </catValu>
        <labl>
          Pakistan/Bangladesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32110
        </catValu>
        <labl>
          Sri Lanka (Ceylon)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32120
        </catValu>
        <labl>
          Tajikistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32130
        </catValu>
        <labl>
          Turkmenistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32140
        </catValu>
        <labl>
          Uzbekistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32999
        </catValu>
        <labl>
          South-Central Asia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33000
        </catValu>
        <labl>
          South-Eastern Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33010
        </catValu>
        <labl>
          Brunei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33020
        </catValu>
        <labl>
          Cambodia (Kampuchea)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33030
        </catValu>
        <labl>
          East Timor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33040
        </catValu>
        <labl>
          Indonesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33050
        </catValu>
        <labl>
          Laos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33060
        </catValu>
        <labl>
          Malaysia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33070
        </catValu>
        <labl>
          Myanmar (Burma)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33080
        </catValu>
        <labl>
          Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33090
        </catValu>
        <labl>
          Singapore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33100
        </catValu>
        <labl>
          Thailand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33110
        </catValu>
        <labl>
          Vietnam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33990
        </catValu>
        <labl>
          South-Eastern Asia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34000
        </catValu>
        <labl>
          Western Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34010
        </catValu>
        <labl>
          Armenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34020
        </catValu>
        <labl>
          Azerbaijan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34030
        </catValu>
        <labl>
          Bahrain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34040
        </catValu>
        <labl>
          Cyprus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34050
        </catValu>
        <labl>
          Georgia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34060
        </catValu>
        <labl>
          Iraq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34070
        </catValu>
        <labl>
          Israel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34071
        </catValu>
        <labl>
          Israel/Palestine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34080
        </catValu>
        <labl>
          Jordan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34090
        </catValu>
        <labl>
          Kuwait
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34100
        </catValu>
        <labl>
          Lebanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34110
        </catValu>
        <labl>
          Palestinian Territories
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34111
        </catValu>
        <labl>
          West Bank
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34112
        </catValu>
        <labl>
          Gaza Strip
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34120
        </catValu>
        <labl>
          Oman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34130
        </catValu>
        <labl>
          Qatar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34140
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34150
        </catValu>
        <labl>
          Syria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34151
        </catValu>
        <labl>
          Syria/Lebanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34160
        </catValu>
        <labl>
          Turkey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34170
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34180
        </catValu>
        <labl>
          Yemen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34990
        </catValu>
        <labl>
          Western Asia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34991
        </catValu>
        <labl>
          Middle East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39990
        </catValu>
        <labl>
          Asia, other and n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39991
        </catValu>
        <labl>
          Central Asia and Middle East, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39992
        </catValu>
        <labl>
          Far East, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39993
        </catValu>
        <labl>
          Eastern/Southeast Asia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39994
        </catValu>
        <labl>
          Asia/Middle East, other and n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40000
        </catValu>
        <labl>
          Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41000
        </catValu>
        <labl>
          Eastern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41010
        </catValu>
        <labl>
          Belarus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41020
        </catValu>
        <labl>
          Bulgaria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41021
        </catValu>
        <labl>
          Bulgaria/Greece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41030
        </catValu>
        <labl>
          Czech Republic/Czechoslovakia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41040
        </catValu>
        <labl>
          Hungary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41050
        </catValu>
        <labl>
          Poland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41060
        </catValu>
        <labl>
          Moldova
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41070
        </catValu>
        <labl>
          Romania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41080
        </catValu>
        <labl>
          Russia/USSR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41090
        </catValu>
        <labl>
          Slovakia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41100
        </catValu>
        <labl>
          Ukraine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41990
        </catValu>
        <labl>
          Eastern Europe, other and n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41991
        </catValu>
        <labl>
          Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41992
        </catValu>
        <labl>
          Central-Eastern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42000
        </catValu>
        <labl>
          Northern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42010
        </catValu>
        <labl>
          Denmark
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42020
        </catValu>
        <labl>
          Estonia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42030
        </catValu>
        <labl>
          Faroe Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42040
        </catValu>
        <labl>
          Finland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42050
        </catValu>
        <labl>
          Iceland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42060
        </catValu>
        <labl>
          Ireland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42070
        </catValu>
        <labl>
          Latvia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42080
        </catValu>
        <labl>
          Lithuania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42090
        </catValu>
        <labl>
          Norway
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42100
        </catValu>
        <labl>
          Svalbard and Jan Mayen Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42110
        </catValu>
        <labl>
          Sweden
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42120
        </catValu>
        <labl>
          United Kingdom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42990
        </catValu>
        <labl>
          Northern Europe, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43000
        </catValu>
        <labl>
          Southern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43010
        </catValu>
        <labl>
          Albania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43020
        </catValu>
        <labl>
          Andorra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43030
        </catValu>
        <labl>
          Bosnia and Herzegovina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43040
        </catValu>
        <labl>
          Croatia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43050
        </catValu>
        <labl>
          Gibraltar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43060
        </catValu>
        <labl>
          Greece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43070
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43071
        </catValu>
        <labl>
          Vatican City
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43080
        </catValu>
        <labl>
          Malta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43090
        </catValu>
        <labl>
          Portugal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43100
        </catValu>
        <labl>
          San Marino
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43110
        </catValu>
        <labl>
          Slovenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43120
        </catValu>
        <labl>
          Spain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43121
        </catValu>
        <labl>
          Spain/Portugal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43130
        </catValu>
        <labl>
          Macedonia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43140
        </catValu>
        <labl>
          Yugoslavia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43141
        </catValu>
        <labl>
          Montenegro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43142
        </catValu>
        <labl>
          Serbia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43143
        </catValu>
        <labl>
          Serbia and Montenegro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43144
        </catValu>
        <labl>
          Kosovo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43990
        </catValu>
        <labl>
          Southern Europe, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43991
        </catValu>
        <labl>
          Gibraltar/Malta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43992
        </catValu>
        <labl>
          Portugal/Greece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43993
        </catValu>
        <labl>
          Italy, Holy See, San Marino
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44000
        </catValu>
        <labl>
          Western Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44010
        </catValu>
        <labl>
          Austria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44020
        </catValu>
        <labl>
          Belgium
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44021
        </catValu>
        <labl>
          Belgium/Luxemburg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44022
        </catValu>
        <labl>
          Belgium/Netherlands/Luxemburg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44030
        </catValu>
        <labl>
          France
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44040
        </catValu>
        <labl>
          Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44041
        </catValu>
        <labl>
          Germany/Austria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44042
        </catValu>
        <labl>
          West Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44050
        </catValu>
        <labl>
          Liechtenstein
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44060
        </catValu>
        <labl>
          Luxembourg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44070
        </catValu>
        <labl>
          Monaco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44080
        </catValu>
        <labl>
          Netherlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44090
        </catValu>
        <labl>
          Switzerland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44990
        </catValu>
        <labl>
          Western Europe, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44991
        </catValu>
        <labl>
          Belgium, Denmark, Luxembourg, Netherlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49991
        </catValu>
        <labl>
          Turkey and U.S.S.R.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49992
        </catValu>
        <labl>
          European Union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49993
        </catValu>
        <labl>
          European Union (Original 15)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49994
        </catValu>
        <labl>
          Other European Union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49995
        </catValu>
        <labl>
          EEA, Switzerland, associated microstates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49999
        </catValu>
        <labl>
          Europe, other and n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50000
        </catValu>
        <labl>
          Oceania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51000
        </catValu>
        <labl>
          Australia and New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51010
        </catValu>
        <labl>
          Australia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51020
        </catValu>
        <labl>
          New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51030
        </catValu>
        <labl>
          Norfolk Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51999
        </catValu>
        <labl>
          Australia and New Zealand, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52000
        </catValu>
        <labl>
          Melanesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52010
        </catValu>
        <labl>
          Fiji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52020
        </catValu>
        <labl>
          New Caledonia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52030
        </catValu>
        <labl>
          Papua New Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52040
        </catValu>
        <labl>
          Solomon Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52050
        </catValu>
        <labl>
          Vanuatu (New Hebrides)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52999
        </catValu>
        <labl>
          Melanesia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53000
        </catValu>
        <labl>
          Micronesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53010
        </catValu>
        <labl>
          Kiribati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53020
        </catValu>
        <labl>
          Marshall Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53030
        </catValu>
        <labl>
          Nauru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53040
        </catValu>
        <labl>
          Northern Mariana Isls.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53050
        </catValu>
        <labl>
          Palau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53990
        </catValu>
        <labl>
          Micronesia, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54000
        </catValu>
        <labl>
          Polynesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54010
        </catValu>
        <labl>
          Cook Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54020
        </catValu>
        <labl>
          French Polynesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54030
        </catValu>
        <labl>
          Niue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54040
        </catValu>
        <labl>
          Pitcairn Island
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54050
        </catValu>
        <labl>
          Samoa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54060
        </catValu>
        <labl>
          Eastern Samoa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54070
        </catValu>
        <labl>
          Tokelau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54080
        </catValu>
        <labl>
          Tonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54090
        </catValu>
        <labl>
          Tuvalu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54100
        </catValu>
        <labl>
          Wallis and Futuna Isls.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54990
        </catValu>
        <labl>
          Polynesia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55000
        </catValu>
        <labl>
          U.S. Pacific Possessions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55010
        </catValu>
        <labl>
          American Samoa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55020
        </catValu>
        <labl>
          Baker Island
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55030
        </catValu>
        <labl>
          Guam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55040
        </catValu>
        <labl>
          Howland Island
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55050
        </catValu>
        <labl>
          Johnston Atoll
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55060
        </catValu>
        <labl>
          Kingman Reef
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55070
        </catValu>
        <labl>
          Midway Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55080
        </catValu>
        <labl>
          Wake Island
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55990
        </catValu>
        <labl>
          Other US Pacific
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59990
        </catValu>
        <labl>
          Oceania, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60000
        </catValu>
        <labl>
          OTHER ABROAD
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60100
        </catValu>
        <labl>
          U.S. Outlying Areas and Territories
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60200
        </catValu>
        <labl>
          Africa/Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60300
        </catValu>
        <labl>
          Central/South America or Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60400
        </catValu>
        <labl>
          Asia/Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60500
        </catValu>
        <labl>
          Europe, Australia, New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60600
        </catValu>
        <labl>
          Other commonwealth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60700
        </catValu>
        <labl>
          Asia, Australia, Oceania, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69900
        </catValu>
        <labl>
          Other countries, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nativity and Birthplace Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V129" name="MIGCTRYP" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="147" EndPos="151" width="5" RecSegNo="1"/>
      <labl>
        Country of previous residence
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MIGCTRYP indicates the country of previous residence of international migrants.  Persons who never lived abroad are coded to the "non-migrant" category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10000
        </catValu>
        <labl>
          Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11000
        </catValu>
        <labl>
          Eastern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11010
        </catValu>
        <labl>
          Burundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11020
        </catValu>
        <labl>
          Comoros
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11030
        </catValu>
        <labl>
          Djibouti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11040
        </catValu>
        <labl>
          Eritrea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11050
        </catValu>
        <labl>
          Ethiopia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11060
        </catValu>
        <labl>
          Kenya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11070
        </catValu>
        <labl>
          Madagascar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11080
        </catValu>
        <labl>
          Malawi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11090
        </catValu>
        <labl>
          Mauritius
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11100
        </catValu>
        <labl>
          Mozambique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11110
        </catValu>
        <labl>
          Reunion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11120
        </catValu>
        <labl>
          Rwanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11130
        </catValu>
        <labl>
          Seychelles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11140
        </catValu>
        <labl>
          Somalia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11150
        </catValu>
        <labl>
          South Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11160
        </catValu>
        <labl>
          Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11170
        </catValu>
        <labl>
          Tanzania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11180
        </catValu>
        <labl>
          Zambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11190
        </catValu>
        <labl>
          Zimbabwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11999
        </catValu>
        <labl>
          Eastern Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12000
        </catValu>
        <labl>
          Middle Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12010
        </catValu>
        <labl>
          Angola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12020
        </catValu>
        <labl>
          Cameroon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12030
        </catValu>
        <labl>
          Central African Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12040
        </catValu>
        <labl>
          Chad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12050
        </catValu>
        <labl>
          Congo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12060
        </catValu>
        <labl>
          Democratic Republic of Congo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12070
        </catValu>
        <labl>
          Equatorial Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12080
        </catValu>
        <labl>
          Gabon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12100
        </catValu>
        <labl>
          Sao Tome and Principe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12999
        </catValu>
        <labl>
          Middle Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13000
        </catValu>
        <labl>
          Northern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13010
        </catValu>
        <labl>
          Algeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13020
        </catValu>
        <labl>
          Egypt/United Arab Rep.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13030
        </catValu>
        <labl>
          Libya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13040
        </catValu>
        <labl>
          Morocco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13050
        </catValu>
        <labl>
          Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13060
        </catValu>
        <labl>
          Tunisia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13070
        </catValu>
        <labl>
          Western Sahara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13990
        </catValu>
        <labl>
          Northern Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14000
        </catValu>
        <labl>
          Southern Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14010
        </catValu>
        <labl>
          Botswana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14020
        </catValu>
        <labl>
          Lesotho
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14030
        </catValu>
        <labl>
          Namibia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14040
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14050
        </catValu>
        <labl>
          Swaziland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14999
        </catValu>
        <labl>
          Southern Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15000
        </catValu>
        <labl>
          Western Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15010
        </catValu>
        <labl>
          Benin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15020
        </catValu>
        <labl>
          Burkina Faso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15040
        </catValu>
        <labl>
          Ivory Coast
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15050
        </catValu>
        <labl>
          Gambia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15060
        </catValu>
        <labl>
          Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15070
        </catValu>
        <labl>
          Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15080
        </catValu>
        <labl>
          Guinea-Bissau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15090
        </catValu>
        <labl>
          Liberia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15100
        </catValu>
        <labl>
          Mali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15110
        </catValu>
        <labl>
          Mauritania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15120
        </catValu>
        <labl>
          Niger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15130
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15140
        </catValu>
        <labl>
          St. Helena and Ascension
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15150
        </catValu>
        <labl>
          Cape Verde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15160
        </catValu>
        <labl>
          Sierra Leone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15170
        </catValu>
        <labl>
          Togo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19999
        </catValu>
        <labl>
          Africa, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20000
        </catValu>
        <labl>
          Americas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21000
        </catValu>
        <labl>
          Caribbean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21010
        </catValu>
        <labl>
          Anguilla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21020
        </catValu>
        <labl>
          Antigua-Barbuda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21030
        </catValu>
        <labl>
          Aruba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21040
        </catValu>
        <labl>
          Bahamas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21050
        </catValu>
        <labl>
          Barbados
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21060
        </catValu>
        <labl>
          British Virgin Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21070
        </catValu>
        <labl>
          Cayman Isles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21080
        </catValu>
        <labl>
          Cuba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21090
        </catValu>
        <labl>
          Dominica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21100
        </catValu>
        <labl>
          Dominican Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21110
        </catValu>
        <labl>
          Grenada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21120
        </catValu>
        <labl>
          Guadeloupe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21130
        </catValu>
        <labl>
          Haiti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21140
        </catValu>
        <labl>
          Jamaica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21150
        </catValu>
        <labl>
          Martinique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21160
        </catValu>
        <labl>
          Montserrat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21170
        </catValu>
        <labl>
          Netherlands Antilles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21180
        </catValu>
        <labl>
          Puerto Rico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21190
        </catValu>
        <labl>
          St. Kitts-Nevis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21200
        </catValu>
        <labl>
          St. Croix
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21210
        </catValu>
        <labl>
          St. John
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21220
        </catValu>
        <labl>
          St. Lucia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21230
        </catValu>
        <labl>
          St. Thomas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21240
        </catValu>
        <labl>
          St. Vincent and the Grenadines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21250
        </catValu>
        <labl>
          Trinidad and Tobago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21260
        </catValu>
        <labl>
          Turks and Caicos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21270
        </catValu>
        <labl>
          U.S. Virgin Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21999
        </catValu>
        <labl>
          Caribbean, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22000
        </catValu>
        <labl>
          Central America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22010
        </catValu>
        <labl>
          Belize/British Honduras
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22020
        </catValu>
        <labl>
          Costa Rica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22030
        </catValu>
        <labl>
          El Salvador
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22040
        </catValu>
        <labl>
          Guatemala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22050
        </catValu>
        <labl>
          Honduras
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22060
        </catValu>
        <labl>
          Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22070
        </catValu>
        <labl>
          Nicaragua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22080
        </catValu>
        <labl>
          Panama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22081
        </catValu>
        <labl>
          Panama Canal Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22999
        </catValu>
        <labl>
          Central America, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23000
        </catValu>
        <labl>
          South America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23010
        </catValu>
        <labl>
          Argentina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23020
        </catValu>
        <labl>
          Bolivia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23030
        </catValu>
        <labl>
          Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23040
        </catValu>
        <labl>
          Chile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23050
        </catValu>
        <labl>
          Colombia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23060
        </catValu>
        <labl>
          Ecuador
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23070
        </catValu>
        <labl>
          Falkland Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23080
        </catValu>
        <labl>
          French Guiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23090
        </catValu>
        <labl>
          Guyana/British Guiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23100
        </catValu>
        <labl>
          Paraguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23110
        </catValu>
        <labl>
          Peru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23120
        </catValu>
        <labl>
          Suriname
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23130
        </catValu>
        <labl>
          Uruguay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23140
        </catValu>
        <labl>
          Venezuela
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23990
        </catValu>
        <labl>
          South America, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23991
        </catValu>
        <labl>
          Central and Latin America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24000
        </catValu>
        <labl>
          North America
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24010
        </catValu>
        <labl>
          Bermuda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24020
        </catValu>
        <labl>
          Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24030
        </catValu>
        <labl>
          Greenland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24040
        </catValu>
        <labl>
          Saint Pierre and Miquelon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24050
        </catValu>
        <labl>
          United States
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24051
        </catValu>
        <labl>
          U.S. Outlying Areas and Territories
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24999
        </catValu>
        <labl>
          U.S.A, Canada, Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29999
        </catValu>
        <labl>
          Americas, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30000
        </catValu>
        <labl>
          Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31000
        </catValu>
        <labl>
          Eastern Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31010
        </catValu>
        <labl>
          China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31011
        </catValu>
        <labl>
          Hong Kong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31012
        </catValu>
        <labl>
          Macau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31013
        </catValu>
        <labl>
          Taiwan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31020
        </catValu>
        <labl>
          Japan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31030
        </catValu>
        <labl>
          Korea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31031
        </catValu>
        <labl>
          Korea, DPR (North)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31032
        </catValu>
        <labl>
          Korea, RO (South)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31040
        </catValu>
        <labl>
          Mongolia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32000
        </catValu>
        <labl>
          South-Central Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32010
        </catValu>
        <labl>
          Afghanistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32020
        </catValu>
        <labl>
          Bangladesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32030
        </catValu>
        <labl>
          Bhutan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32040
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32041
        </catValu>
        <labl>
          India, Pakistan, Bangladesh, Sri Lanka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32050
        </catValu>
        <labl>
          Iran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32060
        </catValu>
        <labl>
          Kazakhstan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32070
        </catValu>
        <labl>
          Kyrgyzstan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32080
        </catValu>
        <labl>
          Maldives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32090
        </catValu>
        <labl>
          Nepal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32100
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32110
        </catValu>
        <labl>
          Sri Lanka (Ceylon)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32120
        </catValu>
        <labl>
          Tajikistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32130
        </catValu>
        <labl>
          Turkmenistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32140
        </catValu>
        <labl>
          Uzbekistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33000
        </catValu>
        <labl>
          South-Eastern Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33010
        </catValu>
        <labl>
          Brunei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33020
        </catValu>
        <labl>
          Cambodia (Kampuchea)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33040
        </catValu>
        <labl>
          Indonesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33050
        </catValu>
        <labl>
          Laos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33060
        </catValu>
        <labl>
          Malaysia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33061
        </catValu>
        <labl>
          Malaysia and Singapore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33070
        </catValu>
        <labl>
          Myanmar (Burma)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33080
        </catValu>
        <labl>
          Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33090
        </catValu>
        <labl>
          Singapore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33100
        </catValu>
        <labl>
          Thailand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33110
        </catValu>
        <labl>
          Vietnam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34000
        </catValu>
        <labl>
          Western Asia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34010
        </catValu>
        <labl>
          Armenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34020
        </catValu>
        <labl>
          Azerbaijan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34030
        </catValu>
        <labl>
          Bahrain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34040
        </catValu>
        <labl>
          Cyprus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34050
        </catValu>
        <labl>
          Georgia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34060
        </catValu>
        <labl>
          Iraq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34070
        </catValu>
        <labl>
          Israel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34080
        </catValu>
        <labl>
          Jordan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34090
        </catValu>
        <labl>
          Kuwait
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34100
        </catValu>
        <labl>
          Lebanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34110
        </catValu>
        <labl>
          Palestine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34120
        </catValu>
        <labl>
          Oman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34130
        </catValu>
        <labl>
          Qatar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34140
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34150
        </catValu>
        <labl>
          Syria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34160
        </catValu>
        <labl>
          Turkey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34170
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34180
        </catValu>
        <labl>
          Yemen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34190
        </catValu>
        <labl>
          Middle East, not specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34191
        </catValu>
        <labl>
          Arabia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34199
        </catValu>
        <labl>
          Gulf countries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39999
        </catValu>
        <labl>
          Asia, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40000
        </catValu>
        <labl>
          Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41000
        </catValu>
        <labl>
          Eastern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41010
        </catValu>
        <labl>
          Belarus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41020
        </catValu>
        <labl>
          Bulgaria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41021
        </catValu>
        <labl>
          Albania/Bulgaria/Romania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41030
        </catValu>
        <labl>
          Czech Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41031
        </catValu>
        <labl>
          Czechoslovakia/Yugoslavia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41040
        </catValu>
        <labl>
          Hungary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41050
        </catValu>
        <labl>
          Poland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41060
        </catValu>
        <labl>
          Moldova
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41070
        </catValu>
        <labl>
          Romania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41080
        </catValu>
        <labl>
          Russia/USSR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41090
        </catValu>
        <labl>
          Slovakia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41100
        </catValu>
        <labl>
          Ukraine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41999
        </catValu>
      </catgry>
      <catgry>
        <catValu>
          42000
        </catValu>
        <labl>
          Northern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42010
        </catValu>
        <labl>
          Denmark
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42020
        </catValu>
        <labl>
          Estonia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42030
        </catValu>
        <labl>
          Faroe Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42040
        </catValu>
        <labl>
          Finland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42050
        </catValu>
        <labl>
          Iceland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42060
        </catValu>
        <labl>
          Ireland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42070
        </catValu>
        <labl>
          Latvia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42080
        </catValu>
        <labl>
          Lithuania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42090
        </catValu>
        <labl>
          Norway
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42110
        </catValu>
        <labl>
          Sweden
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42120
        </catValu>
        <labl>
          United Kingdom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42199
        </catValu>
        <labl>
          Scandinavia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43000
        </catValu>
        <labl>
          Southern Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43010
        </catValu>
        <labl>
          Albania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43020
        </catValu>
        <labl>
          Andorra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43030
        </catValu>
        <labl>
          Bosnia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43040
        </catValu>
        <labl>
          Croatia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43050
        </catValu>
        <labl>
          Gibraltar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43060
        </catValu>
        <labl>
          Greece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43070
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43080
        </catValu>
        <labl>
          Malta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43090
        </catValu>
        <labl>
          Portugal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43100
        </catValu>
        <labl>
          San Marino
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43110
        </catValu>
        <labl>
          Slovenia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43120
        </catValu>
        <labl>
          Spain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43130
        </catValu>
        <labl>
          Macedonia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43140
        </catValu>
        <labl>
          Yugoslavia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43141
        </catValu>
        <labl>
          Montenegro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43142
        </catValu>
        <labl>
          Serbia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43143
        </catValu>
        <labl>
          Serbia and Montenegro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43999
        </catValu>
        <labl>
          Southern Europe, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44000
        </catValu>
        <labl>
          Western Europe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44010
        </catValu>
        <labl>
          Austria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44020
        </catValu>
        <labl>
          Belgium
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44021
        </catValu>
        <labl>
          Belgium/Luxemburg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44022
        </catValu>
        <labl>
          Benelux (Belgium/Netherlands/Luxemburg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44030
        </catValu>
        <labl>
          France
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44040
        </catValu>
        <labl>
          Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44050
        </catValu>
        <labl>
          Liechtenstein
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44060
        </catValu>
        <labl>
          Luxembourg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44070
        </catValu>
        <labl>
          Monaco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44080
        </catValu>
        <labl>
          Netherlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44090
        </catValu>
        <labl>
          Switzerland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49999
        </catValu>
        <labl>
          Europe, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50000
        </catValu>
        <labl>
          Oceania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51000
        </catValu>
        <labl>
          Australia and New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51010
        </catValu>
        <labl>
          Australia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51020
        </catValu>
        <labl>
          New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51021
        </catValu>
        <labl>
          New Zealand/New Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51030
        </catValu>
        <labl>
          Norfolk Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51999
        </catValu>
        <labl>
          Australia and New Zealand, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52000
        </catValu>
        <labl>
          Melanesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52010
        </catValu>
        <labl>
          Fiji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52020
        </catValu>
        <labl>
          New Caledonia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52030
        </catValu>
        <labl>
          Papua New Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52040
        </catValu>
        <labl>
          Solomon Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52050
        </catValu>
        <labl>
          Vanuatu (New Hebrides)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53000
        </catValu>
        <labl>
          Micronesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53010
        </catValu>
        <labl>
          Kiribati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53020
        </catValu>
        <labl>
          Marshall Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53030
        </catValu>
        <labl>
          Nauru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53040
        </catValu>
        <labl>
          Northern Mariana Isls.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53050
        </catValu>
        <labl>
          Palau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53999
        </catValu>
        <labl>
          Micronesia, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54000
        </catValu>
        <labl>
          Polynesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54010
        </catValu>
        <labl>
          Cook Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54020
        </catValu>
        <labl>
          French Polynesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54030
        </catValu>
        <labl>
          Niue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54040
        </catValu>
        <labl>
          Pitcairn Island
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54050
        </catValu>
        <labl>
          Samoa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54060
        </catValu>
        <labl>
          Tokelau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54070
        </catValu>
        <labl>
          Tonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54080
        </catValu>
        <labl>
          Tuvalu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54090
        </catValu>
        <labl>
          Wallis and Futuna Isls.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59999
        </catValu>
        <labl>
          Oceania, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60000
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60010
        </catValu>
        <labl>
          Europe, Australia, New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60020
        </catValu>
        <labl>
          Asia and Oceania, n.s.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90000
        </catValu>
        <labl>
          Non-migrants (International)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99998
        </catValu>
        <labl>
          Response suppressed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99999
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V130" name="MIGYRSBR" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="154" EndPos="155" width="2" RecSegNo="1"/>
      <labl>
        Years residing in current state, Brazil
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For persons not in their state of birth, MIGYRSBR indicates how many years the person has resided in their current state of residence.  The variable pertains only to Brazil.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 (6 to 10 1960-70, 6 to 9 1980)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10 (10+ 1980)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11 (11+ 1960-70)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          97+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V131" name="NATIVITY" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="94" EndPos="94" width="1" RecSegNo="1"/>
      <labl>
        Nativity status
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        NATIVITY indicates whether the person was native- or foreign-born.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          NIU (not universe)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Native-born
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Foreign-born
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unknown/missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nativity and Birthplace Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V132" name="YEARP" files="F2" dcml="0" intrvl="contin">
      <location StartPos="5" EndPos="8" width="4" RecSegNo="1"/>
      <labl>
        Year [person version]
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        [This file is just a placeholder. See the household version of the variable.]
      </txt>
      <codInstr>
        This is a 4-digit numeric variable with 0 implied decimal places
      </codInstr>
      <concept vocab="IPUMS">
        Technical Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V133" name="SAMPLEP" files="F2" dcml="0" intrvl="contin">
      <location StartPos="9" EndPos="17" width="9" RecSegNo="1"/>
      <labl>
        IPUMS sample identifier [person version]
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        [This file is just a placeholder. See the household version of the variable.]
      </txt>
      <codInstr>
        This is a 9-digit numeric variable with 0 implied decimal places
      </codInstr>
      <concept vocab="IPUMS">
        Technical Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V134" name="SERIAL" files="F2" dcml="0" intrvl="contin">
      <location StartPos="18" EndPos="27" width="10" RecSegNo="1"/>
      <labl>
        Household serial number [person version]
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        [This file is just a placeholder. See the household version of the variable.]
      </txt>
      <codInstr>
        This is a 10-digit numeric variable with 0 implied decimal places
      </codInstr>
      <concept vocab="IPUMS">
        Technical Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V135" name="COUNTRYP" files="F2" dcml="0" intrvl="contin">
      <location StartPos="2" EndPos="4" width="3" RecSegNo="1"/>
      <labl>
        Country [person version]
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        [This file is just a placeholder. See the household version of the variable.]
      </txt>
      <codInstr>
        This is a 3-digit numeric variable with 0 implied decimal places
      </codInstr>
      <concept vocab="IPUMS">
        Technical Person Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V136" name="RECTYPEP" files="F2" intrvl="discrete">
      <location StartPos="1" EndPos="1" width="1" RecSegNo="1"/>
      <labl>
        Record type [person version]
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        [This file is just a placeholder. See the household version of the variable.]
      </txt>
      <codInstr>
        This is a 1-digit numeric variable with 0 implied decimal places
      </codInstr>
      <concept vocab="IPUMS">
        Technical Person Variables -- PERSON
      </concept>
      <varFormat type="character" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
