DDI_IDN_1971_PHC_v01_M_v7.5_A_IPUMS Population Census, 1971 IPUMS May 20, 2024 MetadataEditor Version 7.5 October 2024. NEW FEATURES. --Historical data from NAPP project now available from IPUMS-International. --Historical census data from Canada, Denmark, the United Kingdom, Germany, Iceland, Norway, Sweden, and the United States for the period 1703 to 1911 are now available from IPUMS-International. The complete count and sample datasets were previously disseminated by the North Atlantic Population Project (NAPP). Where possible, the data have been integrated into existing IPUMS-International variable coding schema. Some new variables have been created that are available only for these pre-1960 datasets. NAPP data users should note that many NAPP variables are available from IPUMS-International by different names. For a complete list of NAPP variables that have been renamed in IPUMS-Interational, refer to the crosswalk. --Individual country shapefiles for the third-level administrative level of geography are now available for a few IPUMS samples. --New spatially harmonized previous-residence variables at the second administrative level of geography are available for several samples in this data release. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. --IPUMS now hosts the Census Mosaic data collection. Census Mosaic identifies, gathers, harmonizes, and distributes surviving historical census microdata from regions of Continental Europe where complete centralized records are not available. The Mosaic project was founded by a consortium of historical social scientists in Europe. Data can be downloaded as static files from the Census Mosaic website. Although the data are not yet integrated fully into IPUMS International, variables have been standardized and harmonized to be roughly compatible with IPUMS coding structures. NEW SAMPLES. --Full-count datasets for Great Britain 1851, 1861, 1871 (Scotland only), 1891, and 1901. --Full-count dataset for Sweden 1910. Denmark (1845, 1880, and 1885) --Labor force surveys from Spain and eight new labor force surveys from Italy added to the series. Newly added countries: Benin, Cote d'Ivoire, Finland, Guatemala, Honduras, Laos, Lesotho, Mauritius, Myanmar, Papua New Guinea, Russia, Slovak Republic, Suriname, Togo, and Zimbabwe New samples for: Bolivia, Cambodia, Cambodia, Chile, Cuba, Cote d'Ivoire, Egypt (1848 and 1868, historical samples), Fiji, Guinea, Ireland, Israel, Italy, Lao PDR, Mexico, Morocco, Nepal, Netherlands, Palestine, Peru, Philippines, Puerto Rico, Rwanda, Senegal, Sierra Leone, South Africa, Switzerland, Uganda, United States, United Kingdom, United States, Vietnam, and Zimbabwe SUPPLEMENTAL DATA. Data from censuses from Benin and Lesotho that record individual fertility and/or mortality events were made available in IPUMS-International. These files can be downloaded and linked to data produced by the extract system. NEW VARIABLES. --IPUMS-International now provides harmonized and year-specific geography variables for all countries including 13 new samples from Dominican Republic, Germany, Indonesia, Israel, Malaysia, Mongolia, Nicaragua, Nigeria, Palestine, Paraguay, Thailand, United Kingdom, and Uruguay. First-level and second-level year specific geography variables are also available for all countries. IPUMS provides corresponding, downloadable GIS boundary files for all harmonized and year specific geography variables. More information about IPUMS geography variables is available here. --IPUMS International now provides spatially harmonized previous-residence variables at the first administrative level of geography. The codes for the spatially harmonized previous-residence variables match the spatially harmonized place of current residence. More information is available here. --IPUMS International provides spatially harmonized previous-residence variables at the first administrative level of geography for all samples; previously available country-specific migration variables at the first administrative level that were not fully harmonized spatially have been phased out. Spatially harmonized previous-residence variables at the second administrative level of geography are available for selected samples. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. --IPUMS International now provides spatially harmonized previous-residence variables at the first administrative level of geography for all samples. Spatially harmonized previous-residence variables at the second administrative level of geography are available for several samples in this data release. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. --Lower (third) level geography codes and GIS files have been added for Bangladesh, China, Ethiopia, Mali, Rwanda, and Zimbabwe. Some geography codes and labels might have changed for these countries to accommodate the newer lower level geography. --Added more detailed 3-digit industry and occupation variables for China 2000. EDITED SAMPLES. --Revised full-count data for Great Britain 1881 --Revised full-count datasets for Sweden 1890 and 1900. The revision includes the following changes that improve comparability across Sweden datasets: --Revisions to certain ethnicity and work variables (and the underlying source data): ORIGIN, LABFORCE, OCCHISCO, OCRELATE, OCSTATUS. --Revisions to unharmonized source variables: SE1890A_HISCOSE, SE1890A_HISCRELSE, SE1890A_HISCSTATSE, SE1890A_OCCMULTISE, SE1900A_HISCOSE, SE1900A_HISCRELSE, SE1900A_HISCSTATSE, SE1900A_OCCMULTISE. --A new United States 1850 full-count dataset now matches the corresponding dataset distributed by the USA IPUMS data project. The source variable US1850A_0502 (HISTID) provides a linking key to match person records to the USA version of the data. The IPUMS International version of the data contains names, which the USA version cannot distribute. EDITED VARIABLES. An error affecting HHWT for South Africa 2007 was corrected. The existing values were adjusted by a factor of 0.01. AGEMARR was edited to add data for Hungary 1980 and 1990. Harmonized and year-specific geography variables for Brazil and Colombia have been edited to accommodate for the availability of refined municipal boundaries. Users should be aware that codes and labels have changed in all harmonized and year specific geography varaibles for these two countries. Errors affecting BPLSE2 (formerly BPLPARSE) for Sweden 1890 and the underlying source variable were corrected. Several thousand cases were incorrectly coded as 258101000. These cases have been updated with the correct code: 258171000. Harmonized geography variables for Italy, Philippines, Rwanda, and United States have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year specific geography varaibles for these countries. More information about IPUMS geography variables is available here. The codes for the source variable RW2002A_0419 were corrected to include 0 and 8 as possible responses, which were previously identified as 'unknown years' within primary education. Errors affecting EDUCFJ for Fiji 2006 were corrected. A problem with PERWT for Tanzania 2012 was corrected. The previous weights were adjusted to properly reflect population totals. MOMLOC, POPLOC, and PARRULE were updated for the United States 2010 and 2015 samples to include additional information on subfamilies. Prior to this correction, persons above age 17 were not receiving links to their co-resident mothers and fathers. An error affecting codes for the URBAN variable in Egypt 1986 for Cairo, Alexandria, Port-Said, and Suez was corrected. An error in INCEARN affecting Venezuela 2001 was corrected. Earned income in the source variable VE2001A_0440 is interpreted as a monthly amount, thus adjustments previously applied to convert data from daily or weekly income were supressed. All the six Brazil samples in IPUMS International were replaced with higher density samples. An edited version of the Chile 2017 sample was introduced to correct an error in household breaks. Errors affecting codes for GEO1_ZA in South Africa 2011 and ENUTS1 in United Kingdom 1991 were corrected. Harmonized geography variables for Cambodia, Fiji, and Nepal have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography varaibles for these countries. More information about IPUMS geography variables is available here. An error in PERWT affecting Nepal 2001 was corrected. Errors affecting a code in GQ for Brazil 2010 and Indonesia 2010 were corrected. Both census samples now identify 1-person units created by splitting a large household. An error in MARRNUM affecting Indonesia 1976 was corrected. Some codes for GEO1_EG2006 and GEO2_EG2006 were edited. Harmonized geography variables for Bolivia, Cuba, Guinea, Ireland, Morocco, Palestine, Senegal, South Africa, and Uganda have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here. An error in INCEARN affecting Brazil 1980 was corrected. An error in EDATTAIN affecting Ireland 1971 and 1981 was corrected. A small proportion of person records in Mexico 1960 were re-classified in MIGRATEP based on information about their current and previous residence. These were previously coded to 'different major administrative unit', even though their place of residence suggests that their last move was within the same major administrative unit. The second-level technician (higher) degrees for Spain 1991, 2001, and 2011 were re-classified into post-secondary technical education in EDATTAIN. An error affecting codes for SEX for Egypt 1848 and 1868 was corrected. The values for male and female had been reversed. A problem with HHWT and PERWT for Canada 2011 was corrected. The previous weights were adjusted to properly reflect population totals. Harmonized geography variables for Cambodia, Lao PDR, Mexico, Peru, Switzerland, Vietnam, Puerto Rico, United Kingdom, and United States have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here. Harmonized geography variables for Chile and Sierra Leone have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here. An error affecting codes for COMPUTER for Senegal 2013 was corrected. An error affecting labels available in IND for Peru 1993 was corrected. An error affecting codes for persons previously residing abroad for MIG1_5_BO in Bolivia 2001 and 2012 was corrected. EDUCAR, EDATTAIN, and YRSCHOOL were adjusted in the Argentina samples to incorporate information on completion of education levels in the data harmonization. HHWT and PERWT were calibrated in Kenya 1979 to properly reflect the population distribution by province. In GQ (group quarters status), persons residing in hospitals of all types were reclassified to 'institutional group quarters' from 'other group quarters,' making their treatment consistent with GQTYPE. Errors affecting codes for BPLBJ2 in Benin 1979, 1992, and 2002 were corrected. Errors affecting codes for GEO2_BR1970 in Brazil 1970 were corrected. Population Census, 1971 - IPUMS Subset PHC Indonesia 1971 (IPUMS Harmonized Subset) IDN_1971_PHC_v01_M_v7.5_A_IPUMS Central Bureau of Statistics IPUMS (c) Copyright 1971, Central Bureau of Statistics and Minnesota Population Center MetadataEditor Central Bureau of Statistics Population and Housing Census [hh/popcen] IPUMS International DOI:10.18128/D020.V7.5 Version 7.5. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database. Demographic Variables -- PERSON Geography: Global Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Fertility and Mortality Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Utilities Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Geography: F-N Variables -- HOUSEHOLD Migration: Global Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Migration: F-N Variables -- PERSON Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Ethnicity and Language Variables -- PERSON Dwelling Characteristics Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Technical Household Variables -- HOUSEHOLD Geography: F-N Variables -- HOUSEHOLD Demographic Variables -- PERSON Nativity and Birthplace Variables -- PERSON Ethnicity and Language Variables -- PERSON Education Variables -- PERSON Migration: Global Variables -- PERSON Fertility and Mortality Variables -- PERSON Technical Person Variables -- PERSON Work Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON Indonesia Regency Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: no - Households: yes - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: Not available - Households: An individual or group of people living who inhabit part or all of the physical or census building who make common provisions for food and other living essentials. - Group quarters: Institutional households consist of individuals in a residence that manages everyday needs, usually arranged by an organization such as a non-profit institution, school, the military, etc. Includes reformatories, prisons and similar living quarters. Also includes households that rent rooms or parts of buildings lodging ten or more people. All persons who reside in the geographical area of the Republic of Indonesia at the time of the census. Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Indonesia 1971 MICRODATA SOURCE: Central Bureau of Statistics SAMPLE SIZE (person records): 634642. SAMPLE DESIGN: Data are derived from the .038 sample of enumeration blocks that received the long form questionnaire. These clustered data were stratified by type and population size of regency to create the microdata sample. Face-to-face [f2f] Two long form questionnaires: F1 for households and residences, and F2 for individuals. de jure, CENSUS DAY: September 24, 1971 Computed by census agency and should be used for most types of analysis. 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. Central Bureau of Statistics Steven Ruggles, Lara Cleveland, Rodrigo Lovaton, Sula Sarkar, Matthew Sobek, Derek Burk, Dan Ehrlich, Quinn Heimann, Jane Lee. Integrated Public Use Microdata Series, International: Version 7.5 [dataset]. Minneapolis, MN: IPUMS, 2024. https://doi.org/10.1 [dataset]. Minneapolis, MN: IPUMS, 2024. https://doi.org/10.18128/D020.V7.5 Researchers should also acknowledge the statistical agency that originally produced the data: Indonesia, Central Bureau of Statistics. Population Census, 1971 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 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. 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. IDN1971_PHC-H-H Household records 126 59 IDN1971_PHC-P-H Person records 634642 78 Record type H Household P Person 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. IPUMS Country 032 Argentina 051 Armenia 040 Austria 050 Bangladesh 112 Belarus 204 Benin 068 Bolivia 072 Botswana 076 Brazil 854 Burkina Faso 116 Cambodia 120 Cameroon 124 Canada 152 Chile 156 China 170 Colombia 188 Costa Rica 192 Cuba 208 Denmark 214 Dominican Republic 218 Ecuador 818 Egypt 222 El Salvador 231 Ethiopia 242 Fiji 246 Finland 250 France 276 Germany 288 Ghana 300 Greece 320 Guatemala 324 Guinea 332 Haiti 340 Honduras 348 Hungary 352 Iceland 356 India 360 Indonesia 364 Iran 368 Iraq 372 Ireland 376 Israel 380 Italy 384 Ivory Coast 388 Jamaica 400 Jordan 404 Kenya 417 Kyrgyz Republic 418 Laos 426 Lesotho 430 Liberia 454 Malawi 458 Malaysia 466 Mali 480 Mauritius 484 Mexico 496 Mongolia 504 Morocco 508 Mozambique 104 Myanmar 524 Nepal 528 Netherlands 558 Nicaragua 566 Nigeria 578 Norway 586 Pakistan 275 Palestine 591 Panama 598 Papua New Guinea 600 Paraguay 604 Peru 608 Philippines 616 Poland 620 Portugal 630 Puerto Rico 642 Romania 643 Russia 646 Rwanda 662 Saint Lucia 686 Senegal 694 Sierra Leone 703 Slovak Republic 705 Slovenia 710 South Africa 728 South Sudan 724 Spain 729 Sudan 740 Suriname 752 Sweden 756 Switzerland 834 Tanzania 764 Thailand 768 Togo 780 Trinidad and Tobago 792 Turkey 800 Uganda 804 Ukraine 826 United Kingdom 840 United States 858 Uruguay 862 Venezuela 704 Vietnam 894 Zambia 716 Zimbabwe 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). IPUMS Year 1703 1703 1729 1729 1787 1787 1801 1801 1819 1819 1845 1845 1848 1848 1850 1850 1851 1851 1852 1852 1860 1860 1861 1861 1865 1865 1868 1868 1870 1870 1871 1871 1875 1875 1880 1880 1881 1881 1885 1885 1890 1890 1891 1891 1900 1900 1901 1901 1910 1910 1911 1911 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1966 1966 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 YEAR gives the year in which the census or survey was taken. For samples that span years, the midpoint or first year of the interval is reported. IPUMS IPUMS sample identifier 032197001 Argentina 1970 032198001 Argentina 1980 032199101 Argentina 1991 032200101 Argentina 2001 032201001 Argentina 2010 051200101 Armenia 2001 051201101 Armenia 2011 040197101 Austria 1971 040198101 Austria 1981 040199101 Austria 1991 040200101 Austria 2001 040201101 Austria 2011 050199101 Bangladesh 1991 050200101 Bangladesh 2001 050201101 Bangladesh 2011 112199901 Belarus 1999 112200901 Belarus 2009 204197901 Benin 1979 204199201 Benin 1992 204200201 Benin 2002 204201301 Benin 2013 068197601 Bolivia 1976 068199201 Bolivia 1992 068200101 Bolivia 2001 068201201 Bolivia 2012 072198101 Botswana 1981 072199101 Botswana 1991 072200101 Botswana 2001 072201101 Botswana 2011 076196001 Brazil 1960 076197001 Brazil 1970 076198001 Brazil 1980 076199101 Brazil 1991 076200001 Brazil 2000 076201001 Brazil 2010 854198501 Burkina Faso 1985 854199601 Burkina Faso 1996 854200601 Burkina Faso 2006 116199801 Cambodia 1998 116200401 Cambodia 2004 116200801 Cambodia 2008 116201301 Cambodia 2013 116201901 Cambodia 2019 120197601 Cameroon 1976 120198701 Cameroon 1987 120200501 Cameroon 2005 124185201 Canada 1852 124187101 Canada 1871 124188101 Canada 1881 124189101 Canada 1891 124190101 Canada 1901 124191101 Canada 1911 124197101 Canada 1971 124198101 Canada 1981 124199101 Canada 1991 124200101 Canada 2001 124201101 Canada 2011 152196001 Chile 1960 152197001 Chile 1970 152198201 Chile 1982 152199201 Chile 1992 152200201 Chile 2002 152201701 Chile 2017 156198201 China 1982 156199001 China 1990 156200001 China 2000 170196401 Colombia 1964 170197301 Colombia 1973 170198501 Colombia 1985 170199301 Colombia 1993 170200501 Colombia 2005 188196301 Costa Rica 1963 188197301 Costa Rica 1973 188198401 Costa Rica 1984 188200001 Costa Rica 2000 188201101 Costa Rica 2011 192200201 Cuba 2002 192201201 Cuba 2012 208178701 Denmark 1787 208180101 Denmark 1801 208184501 Denmark 1845 208188001 Denmark 1880 208188501 Denmark 1885 214196001 Dominican Republic 1960 214197001 Dominican Republic 1970 214198101 Dominican Republic 1981 214200201 Dominican Republic 2002 214201001 Dominican Republic 2010 218196201 Ecuador 1962 218197401 Ecuador 1974 218198201 Ecuador 1982 218199001 Ecuador 1990 218200101 Ecuador 2001 218201001 Ecuador 2010 818184801 Egypt 1848 818186801 Egypt 1868 818198601 Egypt 1986 818199601 Egypt 1996 818200601 Egypt 2006 222199201 El Salvador 1992 222200701 El Salvador 2007 231198401 Ethiopia 1984 231199401 Ethiopia 1994 231200701 Ethiopia 2007 242196601 Fiji 1966 242197601 Fiji 1976 242198601 Fiji 1986 242199601 Fiji 1996 242200701 Fiji 2007 242201401 Fiji 2014 246201001 Finland 2010 250196201 France 1962 250196801 France 1968 250197501 France 1975 250198201 France 1982 250199001 France 1990 250199901 France 1999 250200601 France 2006 250201101 France 2011 276181901 Germany 1819 (Mecklenburg) 276197001 Germany 1970 (West) 276197101 Germany 1971 (East) 276198101 Germany 1981 (East) 276198701 Germany 1987 (West) 288198401 Ghana 1984 288200001 Ghana 2000 288201001 Ghana 2010 300197101 Greece 1971 300198101 Greece 1981 300199101 Greece 1991 300200101 Greece 2001 300201101 Greece 2011 320196401 Guatemala 1964 320197301 Guatemala 1973 320198101 Guatemala 1981 320199401 Guatemala 1994 320200201 Guatemala 2002 324198301 Guinea 1983 324199601 Guinea 1996 324201401 Guinea 2014 332197101 Haiti 1971 332198201 Haiti 1982 332200301 Haiti 2003 340196101 Honduras 1961 340197401 Honduras 1974 340198801 Honduras 1988 340200101 Honduras 2001 348197001 Hungary 1970 348198001 Hungary 1980 348199001 Hungary 1990 348200101 Hungary 2001 348201101 Hungary 2011 352170301 Iceland 1703 352172901 Iceland 1729 352180101 Iceland 1801 352190101 Iceland 1901 352191001 Iceland 1910 356198341 India 1983 356198741 India 1987 356199341 India 1993 356199941 India 1999 356200441 India 2004 356200941 India 2009 360197101 Indonesia 1971 360197601 Indonesia 1976 360198001 Indonesia 1980 360198501 Indonesia 1985 360199001 Indonesia 1990 360199501 Indonesia 1995 360200001 Indonesia 2000 360200501 Indonesia 2005 360201001 Indonesia 2010 364200601 Iran 2006 364201101 Iran 2011 368199701 Iraq 1997 372190101 Ireland 1901 372191101 Ireland 1911 372197101 Ireland 1971 372197901 Ireland 1979 372198101 Ireland 1981 372198601 Ireland 1986 372199101 Ireland 1991 372199601 Ireland 1996 372200201 Ireland 2002 372200601 Ireland 2006 372201101 Ireland 2011 372201601 Ireland 2016 376197201 Israel 1972 376198301 Israel 1983 376199501 Israel 1995 376200801 Israel 2008 380200101 Italy 2001 380201101 Italy 2011 380201121 Italy 2011 Q1 LFS 380201221 Italy 2012 Q1 LFS 380201321 Italy 2013 Q1 LFS 380201421 Italy 2014 Q1 LFS 380201521 Italy 2015 Q1 LFS 380201621 Italy 2016 Q1 LFS 380201721 Italy 2017 Q1 LFS 380201821 Italy 2018 Q1 LFS 380201921 Italy 2019 Q1 LFS 380202021 Italy 2020 Q1 LFS 384198801 Ivory Coast 1988 384199801 Ivory Coast 1998 388198201 Jamaica 1982 388199101 Jamaica 1991 388200101 Jamaica 2001 400200401 Jordan 2004 404196901 Kenya 1969 404197901 Kenya 1979 404198901 Kenya 1989 404199901 Kenya 1999 404200901 Kenya 2009 417199901 Kyrgyz Republic 1999 417200901 Kyrgyz Republic 2009 418199501 Laos 1995 418200501 Laos 2005 418201501 Laos 2015 426199601 Lesotho 1996 426200601 Lesotho 2006 430197401 Liberia 1974 430200801 Liberia 2008 454198701 Malawi 1987 454199801 Malawi 1998 454200801 Malawi 2008 458197001 Malaysia 1970 458198001 Malaysia 1980 458199101 Malaysia 1991 458200001 Malaysia 2000 466198701 Mali 1987 466199801 Mali 1998 466200901 Mali 2009 480199001 Mauritius 1990 480200001 Mauritius 2000 480201101 Mauritius 2011 484196001 Mexico 1960 484197001 Mexico 1970 484199001 Mexico 1990 484199501 Mexico 1995 484200001 Mexico 2000 484200501 Mexico 2005 484201001 Mexico 2010 484201501 Mexico 2015 484202001 Mexico 2020 484200521 Mexico 2005 Q1 LFS 484200522 Mexico 2005 Q2 LFS 484200523 Mexico 2005 Q3 LFS 484200524 Mexico 2005 Q4 LFS 484200621 Mexico 2006 Q1 LFS 484200622 Mexico 2006 Q2 LFS 484200623 Mexico 2006 Q3 LFS 484200624 Mexico 2006 Q4 LFS 484200721 Mexico 2007 Q1 LFS 484200722 Mexico 2007 Q2 LFS 484200723 Mexico 2007 Q3 LFS 484200724 Mexico 2007 Q4 LFS 484200821 Mexico 2008 Q1 LFS 484200822 Mexico 2008 Q2 LFS 484200823 Mexico 2008 Q3 LFS 484200824 Mexico 2008 Q4 LFS 484200921 Mexico 2009 Q1 LFS 484200922 Mexico 2009 Q2 LFS 484200923 Mexico 2009 Q3 LFS 484200924 Mexico 2009 Q4 LFS 484201021 Mexico 2010 Q1 LFS 484201022 Mexico 2010 Q2 LFS 484201023 Mexico 2010 Q3 LFS 484201024 Mexico 2010 Q4 LFS 484201121 Mexico 2011 Q1 LFS 484201122 Mexico 2011 Q2 LFS 484201123 Mexico 2011 Q3 LFS 484201124 Mexico 2011 Q4 LFS 484201221 Mexico 2012 Q1 LFS 484201222 Mexico 2012 Q2 LFS 484201223 Mexico 2012 Q3 LFS 484201224 Mexico 2012 Q4 LFS 484201321 Mexico 2013 Q1 LFS 484201322 Mexico 2013 Q2 LFS 484201323 Mexico 2013 Q3 LFS 484201324 Mexico 2013 Q4 LFS 484201421 Mexico 2014 Q1 LFS 484201422 Mexico 2014 Q2 LFS 484201423 Mexico 2014 Q3 LFS 484201424 Mexico 2014 Q4 LFS 484201521 Mexico 2015 Q1 LFS 484201522 Mexico 2015 Q2 LFS 484201523 Mexico 2015 Q3 LFS 484201524 Mexico 2015 Q4 LFS 484201621 Mexico 2016 Q1 LFS 484201622 Mexico 2016 Q2 LFS 484201623 Mexico 2016 Q3 LFS 484201624 Mexico 2016 Q4 LFS 484201721 Mexico 2017 Q1 LFS 484201722 Mexico 2017 Q2 LFS 484201723 Mexico 2017 Q3 LFS 484201724 Mexico 2017 Q4 LFS 484201821 Mexico 2018 Q1 LFS 484201822 Mexico 2018 Q2 LFS 484201823 Mexico 2018 Q3 LFS 484201824 Mexico 2018 Q4 LFS 484201921 Mexico 2019 Q1 LFS 484201922 Mexico 2019 Q2 LFS 484201923 Mexico 2019 Q3 LFS 484201924 Mexico 2019 Q4 LFS 484202021 Mexico 2020 Q1 LFS 484202023 Mexico 2020 Q3 LFS 496198901 Mongolia 1989 496200001 Mongolia 2000 504198201 Morocco 1982 504199401 Morocco 1994 504200401 Morocco 2004 504201401 Morocco 2014 508199701 Mozambique 1997 508200701 Mozambique 2007 104201401 Myanmar 2014 524200101 Nepal 2001 524201101 Nepal 2011 528196001 Netherlands 1960 528197101 Netherlands 1971 528200101 Netherlands 2001 528201101 Netherlands 2011 558197101 Nicaragua 1971 558199501 Nicaragua 1995 558200501 Nicaragua 2005 566200621 Nigeria 2006 566200721 Nigeria 2007 566200821 Nigeria 2008 566200921 Nigeria 2009 566201021 Nigeria 2010 578180101 Norway 1801 578186501 Norway 1865 578187501 Norway 1875 578190001 Norway 1900 578191001 Norway 1910 586197301 Pakistan 1973 586198101 Pakistan 1981 586199801 Pakistan 1998 275199701 Palestine 1997 275200701 Palestine 2007 275201701 Palestine 2017 591196001 Panama 1960 591197001 Panama 1970 591198001 Panama 1980 591199001 Panama 1990 591200001 Panama 2000 591201001 Panama 2010 598198001 Papua New Guinea 1980 598199001 Papua New Guinea 1990 598200001 Papua New Guinea 2000 600196201 Paraguay 1962 600197201 Paraguay 1972 600198201 Paraguay 1982 600199201 Paraguay 1992 600200201 Paraguay 2002 604199301 Peru 1993 604200701 Peru 2007 604201701 Peru 2017 608199001 Philippines 1990 608199501 Philippines 1995 608200001 Philippines 2000 608201001 Philippines 2010 616197801 Poland 1978 616198801 Poland 1988 616200201 Poland 2002 616201101 Poland 2011 620198101 Portugal 1981 620199101 Portugal 1991 620200101 Portugal 2001 620201101 Portugal 2011 630197001 Puerto Rico 1970 630198001 Puerto Rico 1980 630199001 Puerto Rico 1990 630200001 Puerto Rico 2000 630200501 Puerto Rico 2005 630201001 Puerto Rico 2010 630201501 Puerto Rico 2015 630202001 Puerto Rico 2020 642197701 Romania 1977 642199201 Romania 1992 642200201 Romania 2002 642201101 Romania 2011 643200201 Russia 2002 643201001 Russia 2010 646199101 Rwanda 1991 646200201 Rwanda 2002 646201201 Rwanda 2012 662198001 Saint Lucia 1980 662199101 Saint Lucia 1991 686198801 Senegal 1988 686200201 Senegal 2002 686201301 Senegal 2013 694200401 Sierra Leone 2004 694201501 Sierra Leone 2015 703199101 Slovak Republic 1991 703200101 Slovak Republic 2001 703201101 Slovak Republic 2011 705200201 Slovenia 2002 710199601 South Africa 1996 710200101 South Africa 2001 710200701 South Africa 2007 710201101 South Africa 2011 710201601 South Africa 2016 728200801 South Sudan 2008 724198101 Spain 1981 724199101 Spain 1991 724200101 Spain 2001 724201101 Spain 2011 724200521 Spain 2005 Q1 LFS 724200522 Spain 2005 Q2 LFS 724200523 Spain 2005 Q3 LFS 724200524 Spain 2005 Q4 LFS 724200621 Spain 2006 Q1 LFS 724200622 Spain 2006 Q2 LFS 724200623 Spain 2006 Q3 LFS 724200624 Spain 2006 Q4 LFS 724200721 Spain 2007 Q1 LFS 724200722 Spain 2007 Q2 LFS 724200723 Spain 2007 Q3 LFS 724200724 Spain 2007 Q4 LFS 724200821 Spain 2008 Q1 LFS 724200822 Spain 2008 Q2 LFS 724200823 Spain 2008 Q3 LFS 724200824 Spain 2008 Q4 LFS 724200921 Spain 2009 Q1 LFS 724200922 Spain 2009 Q2 LFS 724200923 Spain 2009 Q3 LFS 724200924 Spain 2009 Q4 LFS 724201021 Spain 2010 Q1 LFS 724201022 Spain 2010 Q2 LFS 724201023 Spain 2010 Q3 LFS 724201024 Spain 2010 Q4 LFS 724201121 Spain 2011 Q1 LFS 724201122 Spain 2011 Q2 LFS 724201123 Spain 2011 Q3 LFS 724201124 Spain 2011 Q4 LFS 724201221 Spain 2012 Q1 LFS 724201222 Spain 2012 Q2 LFS 724201223 Spain 2012 Q3 LFS 724201224 Spain 2012 Q4 LFS 724201321 Spain 2013 Q1 LFS 724201322 Spain 2013 Q2 LFS 724201323 Spain 2013 Q3 LFS 724201324 Spain 2013 Q4 LFS 724201421 Spain 2014 Q1 LFS 724201422 Spain 2014 Q2 LFS 724201423 Spain 2014 Q3 LFS 724201424 Spain 2014 Q4 LFS 724201521 Spain 2015 Q1 LFS 724201522 Spain 2015 Q2 LFS 724201523 Spain 2015 Q3 LFS 724201524 Spain 2015 Q4 LFS 724201621 Spain 2016 Q1 LFS 724201622 Spain 2016 Q2 LFS 724201623 Spain 2016 Q3 LFS 724201624 Spain 2016 Q4 LFS 724201721 Spain 2017 Q1 LFS 724201722 Spain 2017 Q2 LFS 724201723 Spain 2017 Q3 LFS 724201724 Spain 2017 Q4 LFS 724201821 Spain 2018 Q1 LFS 724201822 Spain 2018 Q2 LFS 724201823 Spain 2018 Q3 LFS 724201824 Spain 2018 Q4 LFS 724201921 Spain 2019 Q1 LFS 724201922 Spain 2019 Q2 LFS 724201923 Spain 2019 Q3 LFS 724201924 Spain 2019 Q4 LFS 724202021 Spain 2020 Q1 LFS 724202022 Spain 2020 Q2 LFS 724202023 Spain 2020 Q3 LFS 724202024 Spain 2020 Q4 LFS 729200801 Sudan 2008 740200401 Suriname 2004 740201201 Suriname 2012 752188001 Sweden 1880 752189001 Sweden 1890 752190001 Sweden 1900 752191001 Sweden 1910 756197001 Switzerland 1970 756198001 Switzerland 1980 756199001 Switzerland 1990 756200001 Switzerland 2000 756201101 Switzerland 2011 834198801 Tanzania 1988 834200201 Tanzania 2002 834201201 Tanzania 2012 764197001 Thailand 1970 764198001 Thailand 1980 764199001 Thailand 1990 764200001 Thailand 2000 768196001 Togo 1960 768197001 Togo 1970 768201001 Togo 2010 780197001 Trinidad and Tobago 1970 780198001 Trinidad and Tobago 1980 780199001 Trinidad and Tobago 1990 780200001 Trinidad and Tobago 2000 780201101 Trinidad and Tobago 2011 792198501 Turkey 1985 792199001 Turkey 1990 792200001 Turkey 2000 800199101 Uganda 1991 800200201 Uganda 2002 800201401 Uganda 2014 804200101 Ukraine 2001 826185101 United Kingdom 1851 (England and Wales) 826185102 United Kingdom 1851 (Scotland) 826185103 United Kingdom 1851 (2% sample) 826186101 United Kingdom 1861 (England and Wales) 826186102 United Kingdom 1861 (Scotland) 826187101 United Kingdom 1871 (Scotland) 826188101 United Kingdom 1881 (England and Wales) 826188102 United Kingdom 1881 (Scotland) 826189101 United Kingdom 1891 (England and Wales) 826189102 United Kingdom 1891 (Scotland) 826190101 United Kingdom 1901 (England and Wales) 826190102 United Kingdom 1901 (Scotland) 826191101 United Kingdom 1911 (England and Wales) 826196101 United Kingdom 1961 826197101 United Kingdom 1971 826199101 United Kingdom 1991 826200101 United Kingdom 2001 840185001 United States 1850 (100%) 840185002 United States 1850 (1%) 840186001 United States 1860 (1%) 840187001 United States 1870 (1%) 840188001 United States 1880 (100%) 840188002 United States 1880 (10%) 840190001 United States 1900 (5%) 840191001 United States 1910 (1%) 840196001 United States 1960 840197001 United States 1970 840198001 United States 1980 840199001 United States 1990 840200001 United States 2000 840200501 United States 2005 840201001 United States 2010 840201501 United States 2015 840202001 United States 2020 858196301 Uruguay 1963 858196302 Uruguay 1963 (full count) 858197501 Uruguay 1975 858197502 Uruguay 1975 (full count) 858198501 Uruguay 1985 858198502 Uruguay 1985 (full count) 858199601 Uruguay 1996 858199602 Uruguay 1996 (full count) 858200621 Uruguay 2006 858201101 Uruguay 2011 858201102 Uruguay 2011 (full count) 862197101 Venezuela 1971 862198101 Venezuela 1981 862199001 Venezuela 1990 862200101 Venezuela 2001 704198901 Vietnam 1989 704199901 Vietnam 1999 704200901 Vietnam 2009 704201901 Vietnam 2019 894199001 Zambia 1990 894200001 Zambia 2000 894201001 Zambia 2010 716201201 Zimbabwe 2012 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). IPUMS Household serial number 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, 2002Colombia 1993, 2005Costa Rica 1984, 2000Cuba 2002Dominican Republic 1981, 2002, 2010Ecuador 1990, 2001Germany 1971Hungary 1980, 1990, 2001Jamaica 1982, 1991, 2001Malaysia 1970, 1991, 2000Mexico 1995, 1990, 2000, 2005Nigeria 2006Panama 2000Peru 1993, 2007Portugal 1981, 1991, 2001Spain 1991Uruguay 2011Venezuela 1990, 2001Vietnam 1989In 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. The U.S. 1900 sample and 1880 10% sample have multi-household dwellings that can be identified using the last 3 digits of SERIAL. 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. IPUMS Number of person records in the household 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. PERSONS is a 4-digit numeric variable. IPUMS Household weight 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. HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. IPUMS Subsample number 00 1st 1% subsample 01 2nd 1% subsample 02 3rd 1% subsample 03 4th 1% subsample 04 5th 1% subsample 05 6th 1% subsample 06 7th 1% subsample 07 8th 1% subsample 08 9th 1% subsample 09 10th 1% subsample 10 11th 1% subsample 11 12th 1% subsample 12 13th 1% subsample 13 14th 1% subsample 14 15th 1% subsample 15 16th 1% subsample 16 17th 1% subsample 17 18th 1% subsample 18 19th 1% subsample 19 20th 1% subsample 20 21st 1% subsample 21 22nd 1% subsample 22 23rd 1% subsample 23 24th 1% subsample 24 25th 1% subsample 25 26th 1% subsample 26 27th 1% subsample 27 28th 1% subsample 28 29th 1% subsample 29 30th 1% subsample 30 31st 1% subsample 31 32nd 1% subsample 32 33rd 1% subsample 33 34th 1% subsample 34 35th 1% subsample 35 36th 1% subsample 36 37th 1% subsample 37 38th 1% subsample 38 39th 1% subsample 39 40th 1% subsample 40 41st 1% subsample 41 42nd 1% subsample 42 43rd 1% subsample 43 44th 1% subsample 44 45th 1% subsample 45 46th 1% subsample 46 47th 1% subsample 47 48th 1% subsample 48 49th 1% subsample 49 50th 1% subsample 50 51st 1% subsample 51 52nd 1% subsample 52 53rd 1% subsample 53 54th 1% subsample 54 55th 1% subsample 55 56th 1% subsample 56 57th 1% subsample 57 58th 1% subsample 58 59th 1% subsample 59 60th 1% subsample 60 61st 1% subsample 61 62nd 1% subsample 62 63rd 1% subsample 63 64th 1% subsample 64 65th 1% subsample 65 66th 1% subsample 66 67th 1% subsample 67 68th 1% subsample 68 69th 1% subsample 69 70th 1% subsample 70 71st 1% subsample 71 72nd 1% subsample 72 73rd 1% subsample 73 74th 1% subsample 74 75th 1% subsample 75 76th 1% subsample 76 77th 1% subsample 77 78th 1% subsample 78 79th 1% subsample 79 80th 1% subsample 80 81st 1% subsample 81 82nd 1% subsample 82 83rd 1% subsample 83 84th 1% subsample 84 85th 1% subsample 85 86th 1% subsample 86 87th 1% subsample 87 88th 1% subsample 88 89th 1% subsample 89 90th 1% subsample 90 91st 1% subsample 91 92nd 1% subsample 92 93rd 1% subsample 93 94th 1% subsample 94 95th 1% subsample 95 96th 1% subsample 96 97th 1% subsample 97 98th 1% subsample 98 99th 1% subsample 99 100th 1% subsample 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. IPUMS Strata identifier This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation. STRATA is a 12-digit numeric variable. IPUMS Group quarters (collective dwelling) status 00 Vacant 10 Households 20 Group quarters (collective), n.s. 21 Institutions 22 Other group quarters 29 1-person unit created by splitting large household 99 Unknown/group quarters not identified 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. IPUMS Number of unrelated persons 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ UNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE. IPUMS Urban-rural status 1 Rural 2 Urban 9 Unknown URBAN indicates whether the household was located in a place designated as urban or as rural. IPUMS Continent and region of country 11 Eastern Africa 12 Middle Africa 13 Northern Africa 14 Southern Africa 15 Western Africa 21 Caribbean 22 Central America 23 North America 24 South America 31 Central Asia 32 Eastern Asia 33 Southern Asia 34 South-Eastern Asia 35 Western Asia 41 Eastern Europe 42 Northern Europe 43 Southern Europe 44 Western Europe 51 Australia and New Zealand 52 Melanesia 53 Micronesia 54 Polynesia REGIONW identifies the continent and region of each country. IPUMS 1st subnational geographic level, world [consistent boundaries over time] 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. GEOLEV1 is a 6-digit numeric variable. GEOLEV1 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO1_BR. IPUMS 2nd subnational geographic level, world [consistent boundaries over time] GEOLEV2 indicates the second 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. Second administrative units in GEOLEV2 have been spatio-temporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV2 is a 9-digit numeric variable. GEOLEV2 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO2_BR. IPUMS Population density of GEOLEV1 unit, in persons per square kilometer POPDENSGEO1 indicates the population density in persons per square kilometer of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to 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. POPDENSGEO1 is an 8-digit string variable listing the population density in persons per square kilometer. IPUMS Population density of GEOLEV2 unit, in persons per square kilometer POPDENSGEO2 indicates the population density in persons per square kilometer of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to 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. POPDENSGEO2 is a 12-digit string variable listing the population density in persons per square kilometer. IPUMS Area of GEOLEV1 unit in square kilometers AREAMOLLWGEO1 indicates the area in square kilometers of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to 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. AREAMOLLWGEO1 is a 10-digit string variable listing the area in square kilometers. IPUMS Area of GEOLEV2 unit in square kilometers AREAMOLLWGEO2 indicates the area in square kilometers of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to 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. AREAMOLLWGEO2 is a 10-digit string variable listing the area in square kilometers. IPUMS Indonesia, Province 1971 - 2010 [Level 1; consistent boundaries, GIS] 360011 Nanggroe Aceh Darussalam 360012 Sumatera Utara 360013 Sumatera Barat 360014 Kepulauan Riau, Riau 360015 Jambi 360016 Bangka Belitung, Sumatera Selatan 360017 Bengkulu 360018 Lampung 360031 DKI Jakarta 360032 Banten, Jawa Barat 360033 Jawa Tengah 360034 DKI Yogyakarta 360035 Jawa Timur 360051 Bali 360052 Nusa Tenggara Barat 360053 Nusa Tenggara Timur 360061 Kalimantan Barat 360062 Kalimantan Tengah 360063 Kalimantan Selatan 360064 Kalimantan Timur 360071 Gorontalo, Sulawesi Utara 360072 Sulawesi Tengah 360073 Sulawesi Barat, Sulawesi Selatan 360074 Sulawesi Tenggara 360081 Maluku, Maluku Utara 360094 Papua, Papua Barat 360626 East Timor GEO1_ID identifies the household's province within Indonesia in all sample years. Provinces are the first level administrative units of the country. GEO1_ID 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_ID can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Indonesia 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. IPUMS Indonesia, Province 1971 [Level 1, GIS] 001 Aceh 002 North Sumatra 003 West Sumatra 004 Riau 005 Jambi 006 South Sumatra 007 Bengkulu 008 Lampung 009 Jakarta (DKI Jaya) 010 West Java 011 Central Java 012 Yogyakarta (DI Yogyakarta) 013 East Java 014 Bali 015 West Nusa Tenggara 016 East Nusa Tenggara 017 West Kalimantan 018 Central Kalimantan 019 South Kalimantan 020 East Kalimantan 021 North Sulawesi 022 Central Sulawesi 023 South Sulawesi 024 Southeast Sulawesi 025 Maluku 026 Irian Jaya GEO1_ID1971 identifies the household's provinces within Indonesia in 1971. Provinces are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_ ID1971 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Indonesia 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. IPUMS Indonesia, Regency 1971 - 2010 [Level 2; consistent boundaries, GIS] 360011001 Simeulue, Aceh Barat, Aceh Jaya, Nagan Raya 360011002 Aceh Singkil, Aceh Selatan, Aceh Barat Daya, Subulussalam 360011003 Aceh Tenggara, Aceh Tengah, Gayo Lues, Bener Meriah 360011004 Aceh Tamiang, Aceh Timur, Kota Langsa 360011005 Aceh Besar 360011006 Pidie, Pidie Jaya 360011007 Bireuen, Kota Lhoksumawe, Aceh Utara 360011008 Kota Banda Aceh 360011009 Kota Sabang 360012001 Nias, Nias Selatan, Nias Utara, Nias Barat, Kota Gunungsitoli 360012002 Mandailing Natal, Tapanuli Selatan, Padang Lawas Utara, Padang Lawas, Kota Padang Sidempuan 360012003 Tapanuli Tengah 360012004 Tapanuli Utara, Toba Samosir, Humbang Hasundutan, Samosir 360012005 Labuhan Batu, Labuhan Batu Selatan, Labuhan Batu Utara 360012006 Asahan, Batu Bara 360012007 Simalungun 360012008 Dairi, Papak Bharat 360012009 Karo 360012010 Serdang Bedagai, Deli Serdang 360012011 Langkat 360012012 Kota Sibolga 360012013 Tanjung Balai 360012014 Kota Pematang Siantar 360012015 Kota Tebing Tinggi 360012016 Medan 360012017 Kota Binjai 360013001 Kepulauan Mentawai, Padang Pariaman, Kota Pariaman 360013002 Pesisir Selatan 360013003 Solok, Solok Selatan, Kota Solok 360013004 Sawahlunto/Sijunjung, Dharmasraya, Kota Sawah Lunto 360013005 Tanah Datar 360013006 Agam 360013007 Lima Puluh Koto, Kota Payakumbuh 360013008 Pasaman, Pasaman Barat 360013009 Kota Padang 360013010 Kota Padang Panjang 360013011 Kota Bukittinggi 360014001 Kuantan Singingi, Indragiri Hulu 360014002 Indragiri Hilir 360014003 Pelalawan, Kampar, Rokan Hulu 360014004 Siak, Bengkalis, Rokan Hilir, Kepulauan Meranti, Dumai 360014005 Pekan Baru 360014006 Karimun, Kepulauan Riau, Natuna, Lingga, Kepulauan Anambas, Batam, Tanjung Pinang 360015001 Kerinci, Kota Sungai Penuh 360015002 Merangin, Sarolangun 360015003 Batanghari, Muaro Jambi 360015004 Tanjung Jabung Timur, Tanjung Jabung Barat 360015005 Tebo, Bungo 360015006 Jambi 360016001 Oku, Oku Selatan, Oku Timur 360016002 Oki, Ogan Ilir 360016003 Muara Enim, Prabumulih 360016004 Lahat, Empat Lawang, Pagar Alam 360016005 Musi Rawas, Lubuk Lingga 360016006 Musi Banyu Asin, Banyu Asin 360016007 Palembang 360016008 Bangka, Bangka Barat, Bangka Tengah, Bangka Selatan 360016009 Belitung, Belitung Timur 360016010 Pangkal Pinang 360017001 Bengkulu Selatan, Kaur, Seluma 360017002 Rejang Lebong, Lebong, Kepahing 360017003 Bengkulu Utara, Mukomuko, Bengkulu Tengah 360017004 Bengkulu 360018001 Lampung Barat, Lampung Utara, Way Kanan, Tulang Bawang, Mesuji, Tulangbawang Barat 360018002 Tanggamus, Lampung Selatan, Pesawaran, Pringsewu 360018003 Lampung Timur, Lampung Tengah, Metro 360018004 Bandar Lampung 360031001 Kepulauan Seribu, Jakarta Utara 360031002 Jakarta Selatan 360031003 Jakarta Timur 360031004 Jakarta Pusat 360031005 Jakarta Barat 360032001 Bogor, Depok 360032002 Sukabumi (Regency) 360032003 Cianjur 360032004 Bandung (Regency), Bandung Barat, Cimahi 360032005 Garut 360032006 Tasikmalaya (Regency), Tasikmalaya 360032007 Ciamis, Banjar 360032008 Kuningan 360032009 Cirebon (Regency) 360032010 Majalengka 360032011 Sumedang 360032012 Indramayu 360032013 Subang 360032014 Purwakarta 360032015 Karawang 360032016 Bekasi (Regency), Bekasi 360032017 Bogor 360032018 Sukabumi City 360032019 Bandung 360032020 Cirebon City 360032021 Pandeglang 360032022 Lebak 360032023 Tangerang (Regency), Tangerang, Kota Tangerang Selatan 360032024 Serang (Regency), Cilegon, Serang 360033001 Cilacap 360033002 Banyumas 360033003 Purbalingga 360033004 Banjarnegara 360033005 Kebumen 360033006 Purworejo 360033007 Wonosobo 360033008 Magelang (Regency) 360033009 Boyolali 360033010 Klaten 360033011 Sukoharjo 360033012 Wonogiri 360033013 Karanganyar 360033014 Sragen 360033015 Grobogan 360033016 Blora 360033017 Rembang 360033018 Pati 360033019 Kudus 360033020 Jepara 360033021 Demak 360033022 Semarang (Regency) 360033023 Temanggung 360033024 Kendal 360033025 Batang 360033026 Pekalongan (Regency) 360033027 Pemalang 360033028 Tegal (Regency) 360033029 Brebes 360033030 Magelang City 360033031 Surakarta 360033032 Salatiga 360033033 Semarang City 360033034 Pekalongan City 360033035 Tegal City 360034001 Kulon Progo 360034002 Bantul 360034003 Gunung Kidul 360034004 Sleman 360034005 Yogyakarta 360035001 Pacitan 360035002 Ponorogo 360035003 Trenggalek 360035004 Tulungagung 360035005 Kab. Blitar 360035006 Kab. Kediri 360035007 Kab. Malang, Batu 360035008 Lumajang 360035009 Jember 360035010 Banyuwangi 360035011 Bondowoso 360035012 Situbondo 360035013 Kab. Probolinggo 360035014 Kab. Pasuruan 360035015 Sidoarjo 360035016 Kab. Mojokerto 360035017 Jombang 360035018 Nganjuk 360035019 Kab. Madiun 360035020 Magetan 360035021 Ngawi 360035022 Bojonegoro 360035023 Tuban 360035024 Lamongan 360035025 Gresik 360035026 Bangkalan 360035027 Sampang 360035028 Pamekasan 360035029 Sumenep 360035030 Kota Kediri 360035031 Kota Blitar 360035032 Kota Malang 360035033 Kota Probolinggo 360035034 Kota Pasuruan 360035035 Kota Mojokerto 360035036 Kota Madiun 360035037 Surabaya 360051001 Jembrana 360051002 Tabanan 360051003 Badung, Denpasar 360051004 Gianyar 360051005 Klungkung 360051006 Bangli 360051007 Karangasem 360051008 Buleleng 360052001 Lombok Barat, Lombok Utara, Mataram 360052002 Lombok Tengah 360052003 Lombok Timur 360052004 Sumbawa, Sumbawa Barat 360052005 Dompu 360052006 Bima (Regency), Bima 360053001 Sumba Tengah, Sumba Barat Daya, Sumba Barat 360053002 Sumba Timur 360053003 Rote Ndao, Sabu Raijua, Kupang (Regency), Kupang 360053004 Timor Tengah Selatan 360053005 Timor Tengah Utara 360053006 Belu 360053007 Alor 360053008 Lembata, Flores Timur 360053009 Sikka 360053010 Ende 360053011 Ngada, Nagekeo 360053012 Manggarai, Manggarai Barat, Manggarai Timur 360061001 Sambas, Bengkayang, Singkawang 360061002 Landak, Pontianak, Kubu Raya, Kodya Pontianak 360061003 Sanggau, Sekadau 360061004 Ketapang, Kayong Utara 360061005 Sintang, Melawai 360061006 Kapuas Hulu 360062001 Kotawaringin Barat, Sukamara, Lamandau 360062002 Kotawaringin Timur, Seruyan, Katingan 360062003 Kapuas, Pulang Pisau, Gunung Mas 360062004 Barito Selatan, Barito Timur 360062005 Barito Utara, Murung Raya 360062006 Palangka Raya 360063001 Tanah Laut 360063002 Tanah Bumbu, Kotabaru 360063003 Banjar, Banjarbaru 360063004 Barito Kuala 360063005 Tapin 360063006 Hulu Sungai Selatan 360063007 Hulu Sungai Tengah 360063008 Hulu Sungai Utara, Balangan 360063009 Tabalong 360063010 Banjarmasin 360064001 Pasir, Penajam Paser Utara 360064002 Kutai Barat, Kutai Kartanegara, Kutai Timur, Balikpapan, Bontang 360064003 Berau 360064004 Malinau, Tarakan, Bulongan, Nunukan, Tana Tidung 360064005 Samarinda 360071001 Bolaang Mongondow, Bolaang Mongondow Utara, Bolaang Mongondow Selatan, Bolaang Mongondow Timur, Kotamobagu 360071002 Minahasa, Minahasa Selatan, Minahasa Tenggara, Tomohon, Bitung, Minahasa Utara 360071003 Kepulauan Sangihe, Kepualuan Talaud, Siau Tagulandang Biaro 360071004 Manado 360071005 Boalemo, Gorontalo, Pohuwato, Bone Bolango, Gorontalo Utara 360071006 Kota Gorontalo 360072001 Banggai Kepulauan, Banggai 360072002 Morowali, Poso, Tojo Una-Una 360072003 Donggala, Parigi Moutong, Sigi, Palu 360072004 Toli-Toli, Buol 360073001 Selayar 360073002 Bulukumba 360073003 Bantaeng 360073004 Jeneponto 360073005 Takalar 360073006 Gowa 360073007 Sinjai 360073008 Maros 360073009 Pangkajene Kepulauan 360073010 Barru 360073011 Bone 360073012 Soppeng 360073013 Wajo 360073014 Sidenreng Rappang 360073015 Pinrang 360073016 Enrekang 360073017 Luwu, Luwu Utara, Luwu Timur, Palopo 360073018 Tana Toraja, Toraja Utara 360073019 Ujung Pandang 360073020 Pare-Pare 360073021 Majene 360073022 Polewali Mandar, Mamasa 360073023 Mamuju, Mamuju Utara 360074001 Buton, Bombana, Wakatobi, Bau Bau 360074002 Muna, Buton Utara 360074003 Konawe, Konawe Selatan, Konawe Utara, Kendari 360074004 Kolaka, Kolaka Utara 360081001 Maluku Tengah, Buru, Seram Bagian Barat, Seram Bagian Timur, Buru Selatan 360081002 Ambon 360081003 Halmahera Barat, Halmahera Tengah, Kepulauan Sula, Halmahera Selatan, Halmahera Utara, Halmahera Timur, Pulau Morotai, Ternate, Tidore Kepulauan 360081004 Maluku Tenggara Barat, Maluku Tenggara, Kepulauan Aru, Tual, Maluku Barat Daya 360094001 Fakfak, Kaimana, T Wondama, T Bintuni, Manokwari, Sorong S, Raja Ampat, Tambrauw, Maybrat, Merauke, Jayawijaya, Jayapura, Nabire, Yapen Waropen, Biak Numfor, Paniai, Puncak Jaya, Mimika, Boven Digoel, Mappi, Yahukimo, Pegunungan B, Tolikara, Sarmi, Keerom, Waropen, Supiori, Jayapura, Sorong C, Sorong R, Asmat 360626000 East Timor GEO2_ID indicates the household's regency (kapupaten) within Indonesia in all sample years. It is also known as municipality (kotamadya). The difference between regency and a municipality is dependent on the population density of the geographical unit. A primarily rural area would be known as regency and a primarily urban area would be known as a municipality. Regencies/municipalities are the second level administrative units of the country, after provinces. GEOG2_ID is spatially harmonized accounting 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 GEOG2_ID can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Indonesia 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. IPUMS Indonesia, Regency 1971 [Level 2, GIS] 001001 Aceh Besar 001002 Pidie 001003 North Aceh 001004 East Aceh 001005 Central Aceh 001006 West Aceh 001007 South Aceh 001008 K. Banda Aceh 001009 K. Sabang 002001 Deli Serdang 002002 Langkat 002003 Karo 002004 Simalungun 002005 Asahan 002006 Labuhan Batu 002007 Central Tapanuli 002008 South Tapanuli 002009 North Tapanuli 002010 Nias 002011 Dairi 002012 Ko. Medan 002013 Ko. Pematang Siantar 002014 Ko. Tanjung Balai 002015 Ko. Binjai 002016 Ko. Tebing Tinggi 002017 Ko. Sibolga 003001 Agam 003002 Pasaman 003003 Limapuluh Koto 003004 Tanah Datar 003005 Padang Pariaman 003006 Pesisir Selatan 003007 Solok 003008 K. Sawah Lunto, Sawah Lunto 003009 Ko. Bukit Tinggi 003010 Ko. Padang 003012 Ko. Padang Panjang 004001 Kampar 004002 Indragiri Ilir 004003 Bengkalis 004004 Kepulauan Riau 004005 Indragiri Ulu 004006 Ko. Pakan Baru 005001 Batanghari 005002 Muara Bungo Tebo 005003 Kerinci 005004 Tanjung Jabung 005005 Bangko Sarolangun 005006 Ko. Jambi 006001 Musi Banyuasin 006002 Ogan Komering Ilir 006003 Ogan Komering Ulu 006004 Muara Enim 006005 Lahat 006006 Musi Rawas 006007 Bangka 006008 Belitung 006009 Ko. Palembang 006010 Ko. Pangkal Pinang 007001 North Bengkulu 007002 South Bengkulu 007003 Rejang Lebong 007004 Ko. Bengkulu 008001 South Lampung 008002 Central Lampung 008003 North Lampung 008004 Ko. Tanjung Karang 009001 Ko. Central Jakarta 009002 Ko. South Jakarta 009003 Ko. West Jakarta 009004 Ko. North Jakarta 009005 Ko. East Jakarta 010001 Pandeglang 010002 Serang 010003 Lebak 010004 Krawang 010005 Purwakarta 010006 Bogor 010007 Sukabumi 010008 Cianjur 010009 Bandung 010010 Sumedang 010011 Garut 010012 Tasikmalaya 010013 Cirebon 010014 Kuningan 010015 Indramayu 010016 Majalengka 010017 Subang 010018 Tanggerang 010019 Bekasi 010020 Ciamis 010021 Ko. Bogor 010022 Ko. Sukabumi 010023 Ko. Cirebon 010024 Ko. Bandung 011001 Banyumas 011002 Purbalingga 011003 Cilacap 011004 Banjarnegara 011005 Magelang 011006 Temanggung 011007 Wonosobo 011008 Purworejo 011009 Kebumen 011010 Pekalongan 011011 Pemalang 011012 Tegal 011013 Brebes 011014 Semarang 011015 Kendal 011016 Demak 011017 Grobogan 011018 Pati 011019 Jepara 011020 Rembang 011021 Blora 011022 Kudus 011023 Klaten 011024 Boyolali 011025 Sragen 011026 Sukoharjo 011027 Karanganyar 011028 Wonogiri 011029 Batang 011030 Ko. Magelang 011031 Ko. Pekalongan 011032 Ko. Tegal 011033 Ko. Semarang 011034 Ko. Salatiga 011035 Ko. Surakarta 012001 Bantul 012002 Sleman 012003 Gunung Kidul 012004 Kulon Progo 012005 Ko. Yogyakarta 013001 Gresik 013002 Sidoharjo 013003 Mojokerto 013004 Jombang 013005 Bojonegoro 013006 Tuban 013007 Lamongan 013008 Madiun 013009 Ngawi 013010 Magetan 013011 Ponorogo 013012 Pacitan 013013 Kediri 013014 Nganjuk 013015 Blitar 013016 Trenggalek 013017 Malang 013018 Pasuruan 013019 Probolinggo 013020 Lumajang 013021 Bondowoso 013022 Situbondo 013023 Jember 013024 Banyuwangi 013025 Pamekasan 013026 Sampang 013027 Sumenep 013028 Bangkalan 013029 Tulungagung 013030 Ko. Surabaya 013031 Ko. Probolinggo 013032 Ko. Madiun 013033 Ko. Kediri 013034 Ko. Blitar 013035 Ko. Malang 013036 Ko. Pasuruan 013037 Ko. Mojokerto 014001 Buleleng 014002 Jembrana 014003 Tabanan 014004 Badung 014005 Gianyar 014006 Klungkung 014007 Bangli 014008 Karangasem 015001 West Lombok 015002 Central Lombok 015003 East Lombok 015004 Sumbawa 015005 Dompu 015006 Bima 016001 East Sumba 016002 West Sumba 016003 Ngada 016004 Ende 016005 Sikka 016006 Flores Timur 016007 Kupang 016008 South Central Timor 016009 North Central Timor 016010 Belu 016011 Alor 016012 Regency of Manggarai 017002 Sambas 017003 Ketapang 017004 Sanggau 017005 Sintang 017006 Kapuas Hulu 017007 Pontianak, Ko. Pontianak 018001 Kapuas 018003 Barito Selatan 018004 West Kota Waringin 018005 East Kota Waringin 018006 Kahayan Hulu 018007 Katingan 018008 East Barito 018009 Barito Utara, Murung Raya 018010 Ko. Palangka Raya 019001 Barito Kuala 019002 Banjar 019003 Central Hulu Sei 019004 South Hulu Sei 019005 North Hulu Sei 019006 Kota Baru 019007 Tanah Laut 019008 Tapin/Tapian 019009 Tabalong 019010 Ko. Banjarmasin 020001 Bulongan 020002 Pasir 020003 Ko. Samarinda 020004 Regency of Kutai 020005 Regency of Berau 021001 Sangihe Talaud 021002 Minahasa 021003 Bolaang Mongondow 021004 Gorontalo 021005 Ko. Menado 021006 Ko. Gorontalo 022001 Buol Toli-Toli 022002 Donggala 022003 Poso 022004 Luwuk/Banggai 023001 Mamuju 023002 Luwu 023003 Majene 023004 Polewali Mamasa 023005 Tana Toraja 023006 Pinrang 023007 Enrekang 023008 Sid. Rappang 023009 Wajo/Fajo 023010 Soppeng 023011 Barru 023012 Pakajene Kepulauan 023013 Bone 023014 Maros 023015 Gowa/Goa 023016 Sinjai 023017 Bulukumba 023018 Bantaeng/Bonthain 023019 Jeneponto 023020 Takalar 023021 Selayar 023022 Ko. Ujung Pandang 023023 Ko. Pare-Pare 024001 Kolaka 024002 Kendari 024003 Muna 024004 Buton 025001 Central Maluku 025002 Southeast Maluku 025003 North Maluku 025004 Ko. Ambon 026001 Jayapura 026002 Teluk Cendrawasin, Yapen Waropen, Manokwari 026003 Sorong, Fak-Fak, Merauke, Paniai, Peg. Jayawijaya GEO2_ ID1971 identifies the household's regency (kapupaten) within Indonesia in 1971. It is also known as municipality (kotamadya). The difference between regency and a municipality is dependent on the population density of the geographical unit. A primarily rural area would be known as regency and a primarily urban area would be known as a municipality. Regencies/municipalities are the second level administrative units of the country, after provinces. A GIS map (in shapefile format), corresponding to GEO2_ ID1971 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Indonesia can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. IPUMS Ownership of dwelling [general version] NIU (not in universe) 1 Owned 2 Not owned 9 Unknown 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. IPUMS Ownership of dwelling [detailed version] 000 NIU (not in universe) 100 Owned 110 Owned, already paid 120 Owned, still paying 130 Owned, constructed 140 Owned, inherited 190 Owned, other 191 Owned, house 192 Owned, condominium 193 Apartment proprietor 194 Shared ownership 200 Not owned 210 Renting, not specified 211 Renting, government 212 Renting, local authority 213 Renting, parastatal 214 Renting, private 215 Renting, private company 216 Renting, individual 217 Renting, collective 218 Renting, joint state and individual 219 Renting, public subsidized 220 Renting, private subsidized 221 Renting, co-tenant 222 Renting, relative of tenant 223 Renting, cooperative 224 Renting, with a job or business 225 Renting, loan-backed habitation 226 Renting, mixed contract 227 Furnished dwelling 228 Sharecropping 230 Subletting 231 Rent to own 239 Renting, other 240 Occupied de facto/squatting 250 Free/usufruct (no cash rent) 251 Free, provided by employer 252 Free, without work or services 253 Free, provided by family or friend 254 Free, private 255 Free, public 256 Free, condemned 257 Free, other 260 Endowment, Waqf (Egypt historical) 290 Not owned, other 999 Unknown 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. IPUMS Electricity NIU (not in universe) 1 Yes 2 No 9 Unknown ELECTRIC indicates whether the household had access to electricity. IPUMS Water supply 00 NIU (not in universe) 10 Yes, piped water 11 Piped inside dwelling 12 Piped, exclusively to this household 13 Piped, shared with other households 14 Piped outside the dwelling 15 Piped outside dwelling, in building 16 Piped within the building or plot of land 17 Piped outside the building or lot 18 Have access to public piped water 20 No piped water 99 Unknown 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. IPUMS Cooking fuel 00 NIU (not in universe) 10 None 20 Electricity 30 Petroleum gas, unspecified 31 Gas -- piped/utility 32 Gas -- tanked or bottled 33 Propane 34 Liquefied petroleum gas 35 Gas -- piped and bottled 40 Petroleum liquid 41 Oil, kerosene, and other liquid fuels 42 Kerosene/paraffin 43 Kerosene or oil 44 Kerosene or gasoline 45 Gasoline 46 Cocinol 47 Diesel 50 Wood, coal, and other solid fuels 51 Wood and other plant fuels 52 Non-wood plant materials 53 Coal or charcoal 54 Charcoal 55 Coal 56 Wood or charcoal 60 Multiple fuels 61 Bottled gas and wood 62 Propane and electricity 63 Propane, kerosene, and electricity 64 Propane and kerosene 65 Kerosene and electrictiy 66 Other combinations 70 Other 71 Alcohol 72 Biogas 73 Discarded or waste material 74 Dung/manure 75 Other combined organic waste materials 76 Solar energy 77 Candle 99 Unknown/missing FUELCOOK indicates the predominant type of fuel or energy used for cooking. IPUMS Trash disposal 00 NIU (not in universe) 10 Collected by a sanitation service 11 Collected directly from the household or dwelling 12 Collected indirectly from a garbage container or deposit 13 Collected by a sanitation service only 14 Collected by a sanitation service and disposed of in some other manner 20 Disposed of in some other manner 21 Burned or buried 22 Burned 23 Buried 24 Thrown into street, vacant land, or common area 25 Thrown into river, lake, ocean, lagoon, etc. 26 Thrown into canyon or gulley 27 Dumped in pit 28 Communal refuse dump 29 Own refuse dump 30 Authorized refuse dump 31 Illegal refuse dump 32 Other dumping 33 Outside 34 In the fields 35 Fed to animals 36 Composted 37 Heap 38 Garden 39 Other, none 99 Unknown/missing This variable indicates whether the household's waste or garbage is collected by a sanitation service or disposed of in some other manner. IPUMS Number of rooms 00 Part of a room; no rooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) ROOMS indicates the number of rooms occupied by the housing unit. IPUMS Toilet 00 NIU (not in universe) 10 No toilet 11 No flush toilet 20 Have toilet, type not specified 21 Flush toilet 22 Non-flush, latrine 23 Non-flush, other and unspecified 99 Unknown TOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation. IPUMS Floor material 000 NIU (not in universe) 100 None/unfinished (earth) 110 Sand 120 Dung 200 Finished 201 Cement, tile, or brick 202 Cement 203 Concrete 204 Cement screed 205 Ceramic tile 206 Paving stone, cement tile 207 Stone 208 Brick 209 Brick or stone 210 Brick or cement 211 Block 212 Terrazzo 213 Wood 214 Palm, bamboo 215 Parquet 216 Parquet, tile, vinyl 217 Parquet, tile, marble 218 Ceramic, marble, granite 219 Ceramic, marble, tile, or vinyl 220 Marble 221 Mosaic 222 Tile 223 Tile, linoleum, ceramic, etc 224 Tile, cement 225 Tile, stone 226 Tile, stone, brick 227 Tile, stone, vinyl, brick 228 Tile, vinyl, brick 229 Tile, vinyl 230 Vinyl, linoleum, etc 231 Asphalt sheet, vinyl, etc 232 Synthetic, plastic 233 Cane 234 Carpet, rug 235 Scrap material 236 Other finished, n.e.c. 999 Unknown/missing FLOOR indicates the dwelling's predominant flooring material. IPUMS Wall or building material 000 NIU (not in universe) 100 No walls 200 Cardboard, scrap, and miscellaneous materials 201 Waste, scrap, or discarded material 202 Fabric or discarded material 203 Zinc, fabric, cardboard, tins, and waste material 204 Cardboard sheet 205 Plastic sheeting, cardboard 206 Makeshift, salvaged, or improvised materials 207 Reused materials 300 Wood 310 Rough wood 320 Wood, fibercement or plywood 330 Wood, formica, and other 340 Wood or bamboo 350 Wood or straw 400 Other plant-based materials 401 Plantain leaves and similar material 402 Bamboo or cane 403 Bamboo, sawali, cogon, nipa 404 Straw or bamboo 405 Grass, straw or reed 406 Reed, bamboo, or palm 407 Cane, palm leaves, logs 408 Palm leaves or palm planks 409 Bark, sticks, or cane 500 Masonry, stone, cement, adobe, metal, glass, and other fabricated materials (sometimes mixed with wood) 501 Brick, block, stone, or cement 502 Brick, stone, concrete 503 Brick, stone, or substitutes (dividing panels made of reinforced concrete) 504 Brick, stone, or substitutes (dividing panels made of wood) 505 Brick or tile 506 Brick or stone 507 Brick or cement block 508 Brick with plaster exterior 509 Brick without plaster exterior 510 Burnt or stabilized brick 511 Covered brick 512 Brick 513 Unburnt brick 514 Unburnt brick with cement 515 Unburnt brick with mud 516 Concrete 517 Landcrete, sandcrete 518 Cement blocks 519 Cement blocks or brick 520 Cement blocks or brick, unfinished 521 Cement and adobe bricks 522 Cement and stone block 523 Cement and tiles 524 Reinforced concrete, pre-cast concrete panels, or steel skeleton framed concrete 525 Concrete, reinforced concrete, blocks, panels 526 Fibercement 527 Adobe 528 Adobe walls with plaster exterior 529 Adobe walls without plaster exterior 530 Adobe with cement exterior 531 Wood and earth adobe 532 Wood and cement adobe 533 Mud or adobe 534 Pressed dirt 535 Clay 536 Coated clay/mud with sticks/cane 537 Clay or clay-covered sticks 538 Netted bamboo or cane with mud 539 Bundle of mud, straw, other materials 540 Mud with wood/wattle 541 Pole and mud 542 Mud with cement 543 Unfinished lathe and plaster, stucco, etc. 544 Stone 545 Hand-laid stone 546 Quarried stone 547 Cut stone and concrete 548 Cemented stone 549 Stone with clay 550 Blocks of light material 551 Prefabricated material 552 Asbestos 553 Metal or asbestos sheet 554 Metal or iron sheet 555 Metal or fibercement sheeting 556 Galvanized iron or aluminum 557 Tin 558 Glass 559 Cloth 560 Covintec panels 561 Mixed material 562 Mixed material: part wood; part concrete, brick, or stone 563 Wood plastered with clay, adobe, other materials; wood pressed panels; rolled mud bricks; etc. 564 Mixed material: wood or galvanized metal 570 Mainly permanent materials 600 Other material 601 Partition wall, lined with wood or steel 602 Partition wall, unlined 999 Unknown/missing This variable indicates the primary material used in the construction of the dwelling, particularly the dwelling's exterior walls. IPUMS Roof material 00 NIU (not in universe) 10 Masonry, concrete, clay tile, or tiles of unspecified type 11 Concrete or cement 12 Reinforced concrete (slab) 13 Cement or sheet metal 14 Tile, unspecified material 15 Clay tile 16 Tile or cement 17 Modern tiles, industrial 18 Traditional tiles, locally made 19 Tile or flat stone 20 Tile, unspecified or mixed materials 21 Fibercement or plastic 22 Fibercement or metal sheets 23 Asphalt or laminate cover 24 Tile, cement, asphalt 25 Asphalt tile 26 Slate or tile 27 Slate or asbestos 28 Asbestos 29 Adobe 30 Tiles or wood planks 31 Roofing shingles 32 Tar paper 33 Metal 34 Sheet metal 35 Zinc or tin 36 Tin 37 Sheet metal or other sheet material 38 Sheet metal, tile, slate 40 Wood and other plant materials 41 Wood 42 Wood, including bamboo 43 Bamboo 44 Cogon, nipa, anahaw 45 Thatch (straw, grass, leaves, palm, etc.) 46 Cane, wood, straw 47 Grass or straw 48 Papyrus 49 Banana leaves or fiber 50 Palm or makuti 51 Straw, bamboo, polythene 52 Wood with clay 53 Grass and mud 54 Rustic mat 60 Mud or earth 61 Clay 70 Cardboard, scrap, and miscellaneous materials 71 Discarded or scrap material 72 Cardboard 73 Plastic, tarpaulin 80 Other, unspecified 90 No roof 99 Unknown/missing This variable indicates the dwelling's predominant roofing material. IPUMS Household classification 00 Vacant household 01 One-person household 02 Married/cohab couple, no children 03 Married/cohab couple with children 04 Single-parent family 05 Polygamous family 06 Extended family, relatives only 07 Composite household, family and non-relatives 08 Non-family household 09 Unclassified subfamily 10 Other relative or non-relative household 11 Group quarters 99 Unclassifiable 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. IPUMS Number of families in household Vacant household 1 1 family 2 2 families 3 3 families 4 4 families 5 5 families 6 6 families 7 7 families 8 8 families 9 9 or more families NFAMS is a constructed variable that indicates the number of families within each household. Family membership is defined by FAMUNIT. 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 a domestic employee contains two families; a household consisting of a large, multi-generation extended family with no persons unrelated to the head counts 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. IPUMS Number of married couples in household No married couples in household 1 1 couple 2 2 couples 3 3 couples 4 4 couples 5 5 couples 6 6 couples 7 7 couples 8 8 couples 9 9 or more couples 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). IPUMS Number of mothers in household No mothers in household 1 1 mother 2 2 mothers 3 3 mothers 4 4 mothers 5 5 mothers 6 6 mothers 7 7 mothers 8 8 mothers 9 9 or more mothers in household 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). IPUMS Number of fathers in household No fathers in household 1 1 father 2 2 fathers 3 3 fathers 4 4 fathers 5 5 fathers 6 6 fathers 7 7 fathers 8 8 fathers 9 9 or more fathers in household 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). IPUMS Head's location in household HEADLOC gives the person number (PERNUM) of the head of household in samples in which persons are organized into households. HEADLOC is a 3-digit numeric variable. IPUMS Dwelling number Indonesia 1971: All records This variable indicates the dwelling number. This is a 6-digit numeric variable with 0 implied decimal places IPUMS Number of persons in household Indonesia 1971: All records 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 24 24 25 25 26 26 27 27 28 28 29 29 30 30 This variable indicates the number of persons in the household. IPUMS Dwelling created by splitting apart a large dwelling or household Indonesia 1971: All records No problem 1 Yes: households within a large dwelling were split apart into separate dwellings 2 Yes: persons within a large household were split apart into separate dwellings This variable indicates if the dwelling was created by splitting apart a large dwelling or household. IPUMS Number of persons in large household before it was split Indonesia 1971: All records 000 Not split 033 33 034 34 037 37 038 38 040 40 041 41 050 50 057 57 059 59 064 64 068 68 086 86 087 87 108 108 116 116 119 119 This variable indicates the number of persons in the large household before it was split. IPUMS Urban/rural <svar v="ID71A021 ID71A022 ID71A023 ID71A024 ID71A027 ID71A028 ID71A029 ID71A030 ID71A048"><span class="h2">Household characteristics (short form)</span><br /></svar></p> <p><svar a="all" v="ID71A024"><div class="i1">[] Urban<br />[] Rural</div><br /></svar> Indonesia 1971: All households 1 Urban 2 Rural This variable indicates whether the household is located in an urban or rural area. IPUMS Type of household <svar v="ID71A021 ID71A022 ID71A023 ID71A024 ID71A027 ID71A028 ID71A029 ID71A030 ID71A048"><span class="h2">Household characteristics (short form)</span><br /></svar></p> <p><svar v="ID71A027 ID71A028"><span class="h3">Location code</span><br /></svar></p> <p><svar a="all" v="ID71A027 ID71A028">7. Serial number of household<br /><div class="i1">a. Private ____<br />b. Institutional ____</div><br /></svar> Indonesia 1971: All households 1 Private household 2 Institutional household This variable indicates whether the household is private or institutional. IPUMS Tenure of living unit <svar v="ID71A031 ID71A032 ID71A033 ID71A034 ID71A035 ID71A036 ID71A037 ID71A038 ID71A039 ID71A040 ID71A041 ID71A042 ID71A043 ID71A044 ID71A045"><span class="h3">Household and living unit information</span><br /></svar></p> <p><svar a="all" v="ID71A031">1. Is this living unit<br /><div class="i1">[] Owned<br />[] Contracted<br />[] Rented<br />[] Rent to purchase<br />[] Property of government<br />[] Other</div><br /></svar> Indonesia 1971: All households 1 Owned 2 Contracted 3 Rented 4 Rent to purchase 5 Official 6 Other This variable indicates the type of tenure for the living unit in which the household resides. IPUMS Occupancy of living unit <svar v="ID71A031 ID71A032 ID71A033 ID71A034 ID71A035 ID71A036 ID71A037 ID71A038 ID71A039 ID71A040 ID71A041 ID71A042 ID71A043 ID71A044 ID71A045"><span class="h3">Household and living unit information</span><br /></svar></p> <p><svar a="all" v="ID71A032">2. Does this household occupy<br /><div class="i1">[] Entire housing unit<br />[] Part of housing unit<br />[] Part of shop/school/office, etc.<br />[] Other</div><br /></svar> Indonesia 1971: All households 1 Entire housing unit 2 Part of housing unit 3 Part of shop/school/office, etc. 4 Other This variable indicates the occupancy status of the living unit in which the household resides. IPUMS Number of rooms <svar v="ID71A031 ID71A032 ID71A033 ID71A034 ID71A035 ID71A036 ID71A037 ID71A038 ID71A039 ID71A040 ID71A041 ID71A042 ID71A043 ID71A044 ID71A045"><span class="h3">Household and living unit information</span><br /></svar></p> <p><svar a="all" v="ID71A033">3. How many rooms are there?<br /><div class="i1">[] 1<br />[] 2<br />[] 3<br />[] 4<br />[] 5<br />[] 6<br />[] 7<br />[] 8<br />[] 9<br />[] 10</div><br /></svar> Indonesia 1971: All households 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10+ This variable indicates the number of rooms that the household occupies within the living unit. IPUMS Material of exterior walls <svar v="ID71A031 ID71A032 ID71A033 ID71A034 ID71A035 ID71A036 ID71A037 ID71A038 ID71A039 ID71A040 ID71A041 ID71A042 ID71A043 ID71A044 ID71A045"><span class="h3">Household and living unit information</span><br /></svar></p> <p><svar a="all" v="ID71A034">4. Exterior wall material<br /><div class="i1">[] Masonry<br />[] Wood<br />[] Bamboo<br />[] Other</div><br /></svar> Indonesia 1971: All households 1 Masonry 2 Wood 3 Bamboo 4 Other This variable indicates the primary type of construction materials of the walls for the living unit in which the household resides. IPUMS Material of roof <svar v="ID71A031 ID71A032 ID71A033 ID71A034 ID71A035 ID71A036 ID71A037 ID71A038 ID71A039 ID71A040 ID71A041 ID71A042 ID71A043 ID71A044 ID71A045"><span class="h3">Household and living unit information</span><br /></svar></p> <p><svar a="all" v="ID71A035">5. What is roof made of?<br /><div class="i1">[] Concrete<br />[] Wood<br />[] Zinc<br />[] Tile<br />[] Palm leaves<br />[] Other</div><br /></svar> Indonesia 1971: All households 1 Concrete 2 Wood 3 Zinc or corrugated metal 4 Tiles 5 Palm leaves or thatched 6 Other This variable indicates the primary type of construction materials of the roof for the living unit in which the household resides. IPUMS Material of floor <svar v="ID71A031 ID71A032 ID71A033 ID71A034 ID71A035 ID71A036 ID71A037 ID71A038 ID71A039 ID71A040 ID71A041 ID71A042 ID71A043 ID71A044 ID71A045"><span class="h3">Household and living unit information</span><br /></svar></p> <p><svar a="all" v="ID71A036">6. What is floor made of?<br /><div class="i1">[] Earthen tile<br />[] Cement/brick<br />[] Wood<br />[] Bamboo<br />[] Earth<br />[] Other</div><br /></svar> Indonesia 1971: All households 1 Cement/brick 2 Tiles 3 Wood 4 Bamboo 5 Earth 6 Other This variable indicates the primary type of construction materials of the floor for the living unit in which the household resides. IPUMS Lighting source <svar v="ID71A031 ID71A032 ID71A033 ID71A034 ID71A035 ID71A036 ID71A037 ID71A038 ID71A039 ID71A040 ID71A041 ID71A042 ID71A043 ID71A044 ID71A045"><span class="h3">Household and living unit information</span><br /></svar></p> <p><svar a="all" v="ID71A037">7. What kind of lighting/lamp is used?<br /><div class="i1">[] Electric<br />[] Kerosene<br />[] Other</div><br /></svar> Indonesia 1971: All households 1 Electricity 2 Kerosene 3 Other This variable indicates the source of lighting for the household. IPUMS Cooking fuel <svar v="ID71A031 ID71A032 ID71A033 ID71A034 ID71A035 ID71A036 ID71A037 ID71A038 ID71A039 ID71A040 ID71A041 ID71A042 ID71A043 ID71A044 ID71A045"><span class="h3">Household and living unit information</span><br /></svar></p> <p><svar a="all" v="ID71A038">8. What kind of fuel is used for cooking?<br /><div class="i1">[] Electric<br />[] Gas<br />[] Kerosene<br />[] Wood/charcoal<br />[] Other</div><br /></svar> Indonesia 1971: All households 1 Electricity 2 Gas 3 Kerosene 4 Wood/charcoal 5 Other This variable indicates the type of fuel that the household uses for cooking. IPUMS Source of drinking water <svar v="ID71A031 ID71A032 ID71A033 ID71A034 ID71A035 ID71A036 ID71A037 ID71A038 ID71A039 ID71A040 ID71A041 ID71A042 ID71A043 ID71A044 ID71A045"><span class="h3">Household and living unit information</span><br /></svar></p> <p><svar a="all" v="ID71A039">9. Drinking water is from<br /><div class="i1">[] Pipe<br />[] Pump<br />[] Well<br />[] Spring<br />[] River<br />[] Rain<br />[] Other</div><br /></svar> Indonesia 1971: All households 1 Piped water 2 Pump 3 Well 4 Spring 5 River 6 Rain 7 Other This variable indicates how the household obtains its drinking water. IPUMS Location of drinking water <svar v="ID71A031 ID71A032 ID71A033 ID71A034 ID71A035 ID71A036 ID71A037 ID71A038 ID71A039 ID71A040 ID71A041 ID71A042 ID71A043 ID71A044 ID71A045"><span class="h3">Household and living unit information</span><br /></svar></p> <p><svar a="all" v="ID71A040">10. Location of drinking water facility<br /><div class="i1">[] Inside yard<br />[] Outside yard</div><br /></svar> Indonesia 1971: All households 1 Inside yard 2 Outside yard This variable indicates the location of the household's source of drinking water. IPUMS Source of water for other uses <svar v="ID71A031 ID71A032 ID71A033 ID71A034 ID71A035 ID71A036 ID71A037 ID71A038 ID71A039 ID71A040 ID71A041 ID71A042 ID71A043 ID71A044 ID71A045"><span class="h3">Household and living unit information</span><br /></svar></p> <p><svar a="all" v="ID71A041">11. Water for other uses is from<br /><div class="i1">[] Pipe<br />[] Pump<br />[] Well<br />[] Spring<br />[] River<br />[] Rain<br />[] Other</div><br /></svar> Indonesia 1971: All households 1 Piped water 2 Pump 3 Well 4 Spring 5 River 6 Rain 7 Other This variable indicates how the household obtains the water that it uses for non-drinking purposes. IPUMS Toilet facility <svar v="ID71A031 ID71A032 ID71A033 ID71A034 ID71A035 ID71A036 ID71A037 ID71A038 ID71A039 ID71A040 ID71A041 ID71A042 ID71A043 ID71A044 ID71A045"><span class="h3">Household and living unit information</span><br /></svar></p> <p><svar a="all" v="ID71A042">12. Toilet facility<br /><div class="i1">[] Private<br />[] Shared<br />[] Public<br />[] Other</div><br /></svar> Indonesia 1971: All households 1 Private 2 Shared 3 Public 4 Other This variable indicates the type of ownership for the toilet facility that the household uses. IPUMS Type of toilet <svar v="ID71A031 ID71A032 ID71A033 ID71A034 ID71A035 ID71A036 ID71A037 ID71A038 ID71A039 ID71A040 ID71A041 ID71A042 ID71A043 ID71A044 ID71A045"><span class="h3">Household and living unit information</span><br /></svar></p> <p><svar a="all" v="ID71A043">13. Type of toilet<br /><div class="i1">[] Flush<br />[] Not flush</div><br /></svar> Indonesia 1971: All households 1 Flush 2 Non-flush This variable indicates the type of toilet that the household uses (flush or not). IPUMS Garbage disposal type <svar v="ID71A031 ID71A032 ID71A033 ID71A034 ID71A035 ID71A036 ID71A037 ID71A038 ID71A039 ID71A040 ID71A041 ID71A042 ID71A043 ID71A044 ID71A045"><span class="h3">Household and living unit information</span><br /></svar></p> <p><svar a="all" v="ID71A044">14. Type of garbage disposal [garbage piling place]<br /><div class="i1">[] Tub/barrel<br />[] Hole<br />[] Other</div><br /></svar> Indonesia 1971: All households 1 Tub/barrel 2 Hole 3 Other This variable indicates the type of garbage disposal that the household uses. IPUMS Garbage disposal method <svar v="ID71A031 ID71A032 ID71A033 ID71A034 ID71A035 ID71A036 ID71A037 ID71A038 ID71A039 ID71A040 ID71A041 ID71A042 ID71A043 ID71A044 ID71A045"><span class="h3">Household and living unit information</span><br /></svar></p> <p><svar a="all" v="ID71A045">15. Procedure to throw away garbage<br /><div class="i1">[] Carried<br />[] Burned<br />[] Buried<br />[] Other</div><br /></svar> Indonesia 1971: All households 1 Carried out 2 Burned 3 Buried 4 Other This variable indicates the method by which the household disposes of its garbage. IPUMS Category of living unit Indonesia 1971: All households 1 Category I 2 Category II 3 Category III 4 Category IV This variable indicates the category of the living unit in which the household resides. IPUMS Household weight Indonesia 1971: All households This variable indicates the sample weight for the household. This is a 4-digit numeric variable with 0 implied decimal places IPUMS Strata Indonesia 1971: All households This variable is the strata identifier for the sample. Strata is a constructed variable that captures implicit geographic stratification resulting from the sample design. It is created by assigning a unique identifier to groups of between 10 and 19 adjacent households. Additional documentation is available on the Variance Estimation page. This is a 5-digit numeric variable with 0 implied decimal places IPUMS Person number 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. PERNUM is a 4-digit numeric variable. IPUMS Person weight 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. PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. IPUMS Mother's location in household 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. For more details on the construction of MOMLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. 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. To restrict MOMLOC to biological mothers, such as for own children fertility estimation, MOMLOC should be reset to zero when STEPMOM is greater than zero. MOMLOC is a 3-digit numeric variable. Codes0 = No mother of this person present in the household. 1 or higher = The person number of this person's mother IPUMS Father's location in household 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. For more details on the construction of POPLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. 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. To restrict POPLOC to biological mothers, such as for own children fertility estimation, POPLOC should be reset to zero when STEPPOP is greater than zero. POPLOC is a 3-digit numeric variable. Codes0 = No father of this person present in the household. 1 or higher = The person number of this person's father IPUMS Spouse's location in household 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. For more details on the construction of SPLOC, see the Comparability section of SPRULE and this paper on IPUMSI family linking methodology. SPLOC is a 3-digit numeric variable. Codes0 = No spouse of this person present in the household. 1 or higher = The person number of this person's spouse IPUMS Rule for linking parent 00 No parent of person in household 11 Link to head or spouse, unambiguous 12 Link to head or spouse, ambiguous 21 Child-Grandchild, within empirical child cap 22 Child-Grandchild, within constructed child cap 23 Child-Grandchild, exceeds child cap 31 Specified Other Relatives, within empirical child cap 32 Specified Other Relatives, within constructed child cap 33 Specified Other Relatives, exceeds child cap 41 Other Relatives, within empirical child cap 42 Other Relatives, within constructed child cap 51 Non-Relatives, within empirical child cap 52 Non-Relatives, within constructed child cap 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. IPUMS Rule for linking spouse 00 No spouse present 01 Rule 1: strong relationship pairing, couple adjacent 02 Rule 2: strong relationship pairing, couple not adjacent 03 Rule 3: weak relationship pairing, couple adjacent 04 Rule 4: weak relationship pairing, couple not adjacent 05 Rule 5: weak consensual union pairings 06 Rule 6: sample-specific rules (usually child-to-child) 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. IPUMS Probable stepmother Biological mother or no mother present 1 Mother has no children born or surviving 2 Child reports mother is deceased 3 Explicitly identified step relationship 4 Mother reports no children in the home 5 Age difference implausible 6 Child exceeds known fertility of mother 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 born 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. In cases where more than one criterion for a likely stepmother is met, STEPMOM will take the value of the criterion with the lowest code. 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. IPUMS Probable stepfather Biological father or no father present 1 Child reports father is deceased 2 Explicitly identified step relationship 3 Age difference implausible 4 Spouse of mother 5 Identified as adopted 6 Surname difference -- male child or never-married female 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. In cases where more than one criterion for a likely stepfather is met, STEPPOP will take the value of the criterion with the lowest code. 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. IPUMS Man with more than one wife linked No more than one wife linked via SPLOC 1 More than one wife linked via SPLOC 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. IPUMS Woman is second or higher order wife Person is not the 2nd or higher order wife linked via SPLOC 1 Person is the 2nd or higher order wife linked via SPLOC 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. IPUMS Family unit membership 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). FAMUNIT is a 4-digit numeric variable. CodesIf 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. IPUMS Number of own family members in household 0001 1 family member present 0002 2 family members present 0003 3 family members present 0004 4 0005 5 0006 6 0007 7 0008 8 0009 9 0010 10 0011 11 0012 12 0013 13 0014 14 0015 15 0016 16 0017 17 0018 18 0019 19 0020 20 0021 21 0022 22 0023 23 0024 24 0025 25 0026 26 0027 27 0028 28 0029 29 0030 30 0031 31 0032 32 0033 33 0034 34 0035 35 0036 36 0037 37 0038 38 0039 39 0040 40 0041 41 0042 42 0043 43 0044 44 0045 45 0046 46 0047 47 0048 48 0049 49 0050 50 0051 51 0052 52 0053 53 0054 54 0055 55 0056 56 0057 57 0058 58 0059 59 0060 60 0061 61 0062 62 0063 63 0064 64 0065 65 0066 66 0067 67 0068 68 0069 69 0070 70 0071 71 0072 72 0073 73 0074 74 0075 75 0076 76 0077 77 0078 78 0079 79 0080 80 0081 81 0082 82 0083 83 0084 84 0085 85 0086 86 0087 87 0088 88 0089 89 0090 90 0091 91 0092 92 0093 93 0094 94 0095 95 0096 96 0097 97 0098 98 0099 99 or more persons 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 membership). 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). IPUMS Number of own children in household 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more children in household 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. IPUMS Number of own children under age 5 in household 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more own children under age 5 in household 98 One or more children have unknown age 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. IPUMS Age of eldest own child in household 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household 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. IPUMS Age of youngest own child in household 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household 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. IPUMS Relationship to household head [general version] 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). IPUMS Relationship to household head [detailed version] 1000 Head 2000 Spouse/partner 2100 Spouse 2200 Unmarried partner 2210 Civil union 2300 Same-sex spouse/partner 3000 Child 3100 Biological child 3200 Adopted child 3300 Stepchild 3400 Child/child-in-law 3500 Child/child-in-law/grandchild 3600 Child of unmarried partner 4000 Other relative 4100 Grandchild 4110 Grandchild or great grandchild 4120 Great grandchild 4130 Great-great grandchild 4200 Parent/parent-in-law 4210 Parent 4211 Stepparent 4220 Parent-in-law 4300 Child-in-law 4301 Daughter-in-law 4302 Spouse/partner of child 4310 Unmarried partner of child 4400 Sibling/sibling-in-law 4410 Sibling 4420 Stepsibling 4430 Sibling-in-law 4431 Sibling of spouse/partner 4432 Spouse/partner of sibling 4500 Grandparent 4510 Great grandparent 4600 Parent/grandparent/ascendant 4700 Aunt/uncle 4800 Other specified relative 4810 Nephew/niece 4820 Cousin 4830 Sibling's sibling-in-law 4900 Other relative, not elsewhere classified 4910 Other relative with same family name 4920 Other relative with different family name 4930 Other relative, not specified (secondary family) 5000 Non-relative 5100 Friend/guest/visitor/partner 5110 Partner/friend 5111 Friend 5112 Partner/roommate 5113 Housemate/roommate 5120 Visitor 5130 Ex-spouse 5140 Godparent 5150 Godchild 5200 Employee 5210 Domestic employee 5220 Relative of employee, n.s. 5221 Spouse of servant 5222 Child of servant 5223 Other relative of servant 5300 Roomer/boarder/lodger/foster child 5310 Boarder 5311 Boarder or guest 5320 Lodger 5330 Foster child 5340 Tutored/foster child 5350 Tutored child 5400 Employee, boarder, or guest 5500 Other specified non-relative 5510 Agregado 5520 Temporary resident, guest 5600 Group quarters 5610 Group quarters, non-inmates 5620 Institutional inmates 5900 Non-relative, n.e.c. 6000 Other relative or non-relative 9999 Unknown RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). IPUMS Age 000 Less than 1 year 001 1 year 002 2 years 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100+ 999 Not reported/missing AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. IPUMS Age, grouped into intervals 01 0 to 4 02 5 to 9 03 10 to 14 04 15 to 19 05 0 to 5 06 6 to 10 07 10 to 15 08 11 to 14 09 15 to 17 10 16 to 19 11 18 to 24 12 20 to 24 13 25 to 29 14 30 to 34 15 35 to 39 16 40 to 44 17 45 to 49 18 50 to 54 19 55 to 59 20 60 to 64 21 65 to 69 22 70 to 74 23 75 to 79 24 80 to 84 25 85+ 98 Unknown AGE2 gives computed years of age grouped into intervals. IPUMS Sex 1 Male 2 Female 9 Unknown SEX reports the sex (gender) of the respondent. IPUMS Marital status [general version] NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing 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. IPUMS Marital status [detailed version] 000 NIU (not in universe) 100 Single/never married 110 Engaged 111 Never married and never cohabited 200 Married or consensual union 210 Married, formally 211 Married, civil 212 Married, religious 213 Married, civil and religious 214 Married, civil or religious 215 Married, traditional/customary 216 Married, monogamous 217 Married, polygamous 219 Married, spouse absent (historical samples) 220 Consensual union 300 Separated/divorced/spouse absent 310 Separated or divorced 320 Separated or annulled 330 Separated 331 Separated legally 332 Separated de facto 333 Separated from marriage 334 Separated from consensual union 335 Separated from consensual union or marriage 340 Annulled 350 Divorced 400 Widowed 410 Widowed or divorced 411 Widowed from consensual union or marriage 412 Widowed from marriage 413 Widowed from consensual union 420 Widowed, divorced, or separated 999 Unknown/missing 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. IPUMS Children ever born 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) 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. IPUMS Children surviving 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) CHSURV reports the number of children born to a woman who were still living at the time of the census. IPUMS Nativity status NIU (not in universe) 1 Native-born 2 Foreign-born 9 Unknown/missing NATIVITY indicates whether the person was native-born or foreign-born. IPUMS Citizenship 1 Citizen, not specified 2 Citizen by birth 3 Naturalized citizen 4 Not a citizen 5 Without citizenship, stateless 8 Unknown 9 NIU (not in universe) CITIZEN indicates the person's citizenship status within the country in which they were enumerated. IPUMS Country of citizenship 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, other or n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo (Republic of) 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, other or n.s. 13000 Northern Africa 13010 Algeria 13011 Algeria/Tunisia 13020 Egypt/United Arab Rep. 13021 Egypt/Sudan 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, other or n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, other or n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15999 West Africa, other or n.s. 19999 Africa, other or n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21220 St. Lucia 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21999 Caribbean, other or n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, other or n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23999 South America, other or n.s. 24000 North America 24010 Bermuda 24020 Canada 24021 Canada, First Nations 24030 Greenland 24040 United States 24999 North America, other or n.s. 29999 Americas, other or n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 31999 Eastern Asia, other or n.s. 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32990 Burma, India, Pakistan, Ceylon 32999 South-Central Asia, other or n.s. 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33991 Laos and Cambodia 33992 Malaysia and Singapore 33999 South-Eastern Asia, other or n.s. 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34051 Abkhazia 34052 South Ossetia 34060 Iraq 34070 Israel 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34991 Middle East 34999 Western Asia, other or n.s. 39999 Asia, other or n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Bulgaria/Greece 41030 Czech Republic/Czechoslovakia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41992 Central-Eastern Europe 41999 Eastern Europe, other or n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42100 Svalbard and Jan Mayen Islands 42110 Sweden 42120 United Kingdom 42121 Britain 42122 Scotland 42123 Wales 42990 Nordic countries 42999 Northern Europe, other or n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovina 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43144 Serbia and Montenegro 43999 Southern Europe, other or n.s. 44000 Western Europe 44010 Austria 44011 Austro-Hungarian 44020 Belgium 44022 Belgium/Netherlands/Luxemburg 44030 France 44040 Germany 44041 East Germany 44042 West Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44999 Western Europe, other or n.s. 49992 European Union 49993 European Union (Original 15) 49994 Other European Union 49999 Europe, other or n.s. 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 52999 Melanesia, n.s. 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53999 Micronesia, other or n.s. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Western Samoa 54060 Eastern Samoa 54070 Tokelau 54080 Tonga 54090 Tuvalu 54100 Wallis and Futuna Isls. 54999 Polynesia, other or n.s. 55000 U.S. Pacific Possessions 55010 American Samoa 55020 Baker Island 55030 Guam 55040 Howland Island 55050 Johnston Atoll 55060 Kingman Reef 55070 Midway Islands 55080 Wake Island 55999 US Pacific, other or n.s. 59999 Oceania, other or n.s. 90000 Other countries n.s. 99998 No citizenship/nationality 99999 Unknown NATION indicates the person's country of citizenship. IPUMS Province of birth, Indonesia 11 Special Region of Aceh 12 North Sumatra 13 West Sumatra 14 Riau and Kepulauan Riau 15 Jambi 16 South Sumatra and Bangka Belitung 17 Bengkulu 18 Lampung 31 Special Capital Region of Jakarta 32 West Java and Banten 33 Central Java 34 Special Region of Jogyakarta 35 East Java 51 Bali 52 West Nusa Tenggara 53 East Nusa Tenggara 54 East Timor 61 West Kalimantan 62 Central Kalimantan 63 South Kalimantan 64 East Kalimantan 71 North Sulawesi and Gorontalo 72 Central Sulawesi 73 South Sulawesi and West Sulawesi 74 Southeast Sulawesi 81 Maluku and North Maluku 94 Papua and West Papua 98 Abroad 99 Unknown BPLID indicates the person's province of birth within Indonesia. IPUMS Religion [general version] NIU (not in universe) 1 No religion 2 Buddhist 3 Hindu 4 Jewish 5 Muslim 6 Christian 7 Other 9 Unknown RELIGION indicates the person's religion, including "none." IPUMS Religion [detailed version] 0000 NIU (not in universe) 1000 No religion 1001 Atheist 1002 Agnostic 1003 Without religion 2000 Buddhist 3000 Hindu 4000 Jewish 5000 Muslim 5005 Ahmadis 5006 Sunni 6000 Christian 6001 Catholic (Roman or unspecified) 6002 Orthodox 6003 Protestant 6004 Evangelical protestant 6005 Pentecostal 6006 Adventist / Seventh-day adventist 6007 Anglican 6008 Assembly of God 6009 Baptist 6010 Church of the Nazarene 6011 Congregational 6012 Dutch Reformed 6013 Episcopalian 6014 Jehovah's Witnesses 6015 Latter Day Saints (Mormon) 6016 Lutheran 6017 Mennonite 6018 Methodist 6019 New Apostolic 6020 Presbyterian 6021 Zion Christian 6022 Moravian 6090 Other Christian, historical 6100 Other Christian, Armenia 6101 Armenia apostolic 6102 Nestorian 6103 Molokai 6104 Other Christian, Austria 6105 Old Catholic 6106 Protestant, Augsburg confession 6107 Protestant, Westminster confession 6108 Protestant, Helvetic confession 6109 Greek Oriental 6110 Armenian Apostolic 6111 Other Protestant 6112 Christian Community for renewal 6113 Christian Community, not specified 6114 Other Christian, Benin 6115 Other Christian 6116 Celestial 6117 Other Christian, Brazil 6118 Christian Congregation of Brazil 6119 Brazilian Catholic Apostolic 6120 Brazil for Christ 6121 Foursquare Gospel 6122 Universal of the Kingdom of God 6123 House of the Blessing 6124 House of Prayer 6125 God is Love 6126 Maranata 6127 Other Christian, Brazil 1991 6128 Undetermined Protestant 6129 Other traditional Protestant 6130 Neo-Christian 6131 Other Neo-Christian 6132 Undetermined Christian 6133 Other Christian, Brazil 2000 6134 Other Catholic 6135 Renewed Evangelical Protestant without institutional ties 6136 Pentecostal Evangelical without institutional ties 6137 New Life Evangelical Protestant Pentecostal 6138 Evangelical Protestant Biblical Revival Pentecostal 6139 Chain Of Prayer Pentecostal 6140 Undetermined Evangelical Protestant 6141 Religion Of God 6142 Christian without institutional ties 6143 Other Christian, Brazil 2010 6144 Salvation Army 6145 Other Christian, Canada 6146 Other Catholic 6147 United Church 6148 Protestant, not specified 6149 Other Protestant 6150 Other Christian, Cameroon 6151 Other Christian, Fiji 6152 Christian undefined 6153 Church of England 6154 Gospel Hall and Brethern 6155 Christian Mission Fellowship (CMF) or Every Home 6156 Salvation Army 6157 All Nations Christian Fellowship 6158 Apostles Gospel Outreach Fellowship 6159 Christian Outreach Centre 6160 Other Christian 6161 Other Christian, Germany 6162 Oriental Christian 6163 Other Christian, Ghana 6164 Other Christian, Iran 6165 Assyrian or Chaldean 6166 Armenian 6167 Other Christians 6168 Other Christian, Indonesia 6169 Other Christian 6170 Protestant/Other Christian 6171 Other Christian, Ireland 6172 Church of Ireland 6173 Church of Scotland 6174 Independent 6175 Unitarian 6176 Salvation Army 6177 Free Church 6178 Brethren 6179 Christian Brethren 6180 Plymouth Brethren 6181 Quaker 6182 Other Christians 6183 Other Christian, Ivory Coast 6184 Other Christian, Jamaica 6185 Brethren 6186 Church of God 6187 Church of God of Prophecy 6188 Other Church of God 6189 United Church 6190 Salvation Army 6191 New Testament 6192 Disciples of Christ 6193 Other Christian, Mauritius 6194 Christian Tamil 6195 Salvation and Healing Mission 6196 Voice of Deliverance 6197 Other Christian 6198 Other Christian, Mexico 6199 Anabaptist 6200 Calvinist 6201 Cuaquera 6202 Disciples of Christ 6203 Christian Friendship Church 6204 Prayer House Church 6205 Faith Center 6206 Agape Force Church 6207 Alpha and Omega Church 6208 Living Water Church 6209 Apostolic Church 6210 Church of God 6211 Church of God of Prophecy 6212 Complete Gospel Church 6213 Evangelical Siblings Church 6214 Upper Room Church 6215 Pentecostal Indigenous Church 6216 Angular Stone Voice Church 6217 Pentecostal Missionary 6218 Christian 6219 Christian Societies 6220 Evangelical 6221 Evangelical Societies 6222 New Testament Evangelical 6223 Pentecostal 6224 Pentecostal Societies 6225 Independent Pentecostal 6226 Evangelical Christian Societies 6227 Pentecostal Christian Societies 6228 Evangelical Pentecostal Societies 6229 Evangelical Pentecostal Christian Societies 6230 Soldiers of Christ's Cross Church 6231 Tabernacle 6232 Traditionalists 6233 Other Evangelical Pentecostal Societies 6234 Pentecostal not clearly specified 6235 Living God, Light of the World 6236 Christian and Missionary Alliance 6237 Non-Pentecostal Apostolic 6238 Evangelical Associations 6239 Biblical 6240 Confraternities 6241 Christ Church 6242 Peace Grace and Misericordia Church 6243 Open Bible Church 6244 Holiness Church 6245 Evangelical Salem Church 6246 Beautiful Woman Dressed in the Sun 6247 Messianic Church 6248 Evangelical Ministers 6249 Evangelical Missionaries 6250 Evangelical Movements 6251 New Jerusalem 6252 World Vision Church 6253 Evangelical not clearly specified 6254 Biblical - non-evangelicals 6255 Other Christians not clearly specified 6256 Assumptionist 6257 Carmelite 6258 Claretian 6259 Conception Franciscan 6260 Maronite Diocese of Mexico 6261 Dominican 6262 Servants of Mary Immaculate 6263 Franciscan 6264 Guadalupan 6265 Daughters of the Immaculate Conception 6266 Jesuit 6267 Legionaries of Christ 6268 Divine Word Missionary 6269 Pauline 6270 Sacred Heart 6271 Saint Joseph of Tarbes 6272 Servant of the Lord and the Virgin 6273 Servant of Jesus 6274 Greek Catholic Church 6275 Reformed Roman Catholic Church 6276 Mexican National Catholic Church 6277 Tridentine Latin Rite Catholic Church 6278 Priestly Society Trento 6279 Mexican Catholic Union of Trento 6280 Anabaptist / Memnonite 6281 Anglican / Episcopal 6282 House of Prayer 6283 Center of Faith, Hope and Love of the Missionary Revival Crusade 6284 Center of Faith, Hope and Love Agape Force 6285 Salvation Army 6286 Independent Pentecostal Fellowship 6287 Upper Chamber Church 6288 Faith Apostolic Church of Jesus Christ 6289 Spiritual Christian Church 6290 Pentecostal Evangelical Christian Church 6291 Interdenominational Christian Church 6292 Church of God Full Gospel in Mexico 6293 Church of Jesus Christ on the Rock 6294 Christ Evangelical Pentecostal Church Rock of my Salvation 6295 Mexican Church of Christ's Gospel Pentecost 6296 United Pentecostal Church of Mexico 6297 Universal Church of the Kingdom of God 6298 Only Christ Savior Christian Church 6299 Independent Evangelical Pentecostal Movement 6300 Prince of Peace 6301 National Union of Evangelical Christian Churches (UNICE) 6302 Union of Independent Evangelical Churches 6303 Other associations Pentecostal 6304 Church of the Living God, Pillar and Support of Truth, the Light of the World 6305 Bible Church 6306 Interdenominational Christian Church in Mexico 6307 Church of Christ 6308 Honey Church of Christ 6309 Independent Evangelical Church in Mexico 6310 Renewed Church of Jesus Christ and the Apostles of Divine Love 6311 Other Christian and Evangelical associations without Pentecostal support 6312 Faith Christian Church 6313 Traditional Apostolic Catholic Holy Church Mexico-USA 6314 Mexican Apostolic Catholic Church 6315 Elias 6316 Spiritualistic 6317 Spiritualist 6318 Marian Trinitarian Spirituality 6319 Spirituality of the Third Age 6320 Christian Spiritual 6321 Judiciary Society Reign of Leonardo Alcalá Leos 6322 Spirituality for the Divine Master and the purity of Mary 6323 Light and Hope 6324 Holy Spirit, Purity, Love and Light 6325 Christian Science 6326 Neo-Israelite Jewish Syncretic Movements 6327 Other Christian, Netherlands 6328 Reformed Churches in The Netherlands 6329 Other Reformed 6330 Other Christian, Papua New Guinea 6331 Asian Pacific Christian Mission 6332 Asutalian Church 6333 Bamu River Mission 6334 Christian Brethren Church of PNG 6335 Christian Mission of Many Lands 6336 Christian Revival Crusade 6337 Christain Union Mission 6338 Church of Christ of PNG 6339 Faith mission 6340 Four Square Gospel Mission 6341 Kwato Church 6342 Life Center 6343 Lighthouse church 6344 New Guinea Gospel Mission 6345 New Life Mission 6346 New tribes Mission 6347 Paliau Christian Native Church 6348 Rhema Fellowship 6349 Salvation Army 6350 Sovereign Grace 6351 United Church 6352 Wewak Fellowship 6353 Western Highland 6354 Independent 6355 Plymouth Brethern 6356 Tiliba Mission 6357 Tokarara Christian Fellowship 6358 Village Mission 6359 Other Christian 6360 Other Christian, Paraguay 6361 Christian Community 6362 Free Brothers 6363 Church of God 6364 Church of God of Prophecy 6365 New testament 6366 God is love 6367 Universal Church of the Kingdom of God 6368 People of God 6369 Family worship center 6370 Pseudo-Christian groups 6371 Other Christian, Philippines 6372 Aglipay 6373 Bible Christian Committees 6374 Born-again Christian 6375 Bread of Life Ministries 6376 Cathedral of Praise, Incorporated 6377 Charismatic Full Gospel Ministries 6378 Christ the Living Stone Fellowship 6379 Christian and Missionary Alliance 6380 Christians Missions 6381 Christian Reformed Church in the Philippines, Incorporated 6382 Church of Christ 6383 Crusaders of the Divine Church of Christ, Incorporated 6384 Evangelical Christian Outreach Foundation 6385 Evangelical Free Church 6386 Filipino Assemblies of the First Born Inc. 6387 Foursquare Gospel 6388 Free Believers in Christ Fellowship 6389 Free Mission in the Philippines Inc. 6390 God World Mission 6391 Good News Christian Churches 6392 IEMELIF Reform Movement 6393 Iglesia Evangelista Methodista en Las 6394 Iglesia Evangelica Unida de Cristo 6395 Iglesia ni Cristo 6396 Iglesia sa Dios Espiritu Santo, Incorporated 6397 Jesus Christ Saves Global Outreach 6398 Jesus is Alive Community, Incorporated 6399 Jesus is Lord Church 6400 Jesus Reigns Ministries 6401 Love of Christ International Ministries 6402 Other Evangelical 6403 Other Evangelical Church 6404 Other Protestants 6405 Philippine Ecumenical Christian Church 6406 Philippine Evangelical Mission 6407 Philippine Grace Gospel Fellowship 6408 Philippines Benevolent Missionaries 6409 Philippines General Council of the Assemblies of God 6410 Potter's House Christian Center 6411 Salvation Army Philippines 6412 Take the Nation for Jesus Global Ministries (Corpus Christi) 6413 UNIDA Evangelical Church 6414 Union Espiritista Cristiana de Filipinas, Incorporated 6415 United Church of Christ in the Philippines 6416 United Evangelical Church of the Philippines (Chinese) 6417 Victory Chapel Christian Fellowship 6418 Wesleyan Church 6419 World Missionary Evangelism 6420 Worldwide Church of God 6421 Zion Christian Community Church 6422 Other Christian, Portugal 6423 Other Christian, Romania 6424 Greek Catholic 6425 Reformed Church 6426 Evangelic of Augustan Confession 6427 Evangelic Synodo-Presbyterian 6428 Christian of Old Rite 6429 Christian by Gospel 6430 Evangelic 6431 Other Christian, Rwanda 2002 6432 Other Christian, Sierra Leone 6433 Other Christian, Slovak Republic 6434 Old Catholic 6435 Greek Catholic 6436 Christian Reformed 6437 Other Christian, South Africa 6438 Reformed 6439 International Fellowship of Christian Churches 6440 Apostolic Faith Mission of SA 6441 Other Apostolic Churches 6442 Pinkster Protestant Church 6443 Afrikaanse Protestant Church 6444 Full Gospel Church of God in Southern Africa 6445 Pentecostal Churches 6446 Salvation Army 6447 Bandla Lama Nazaretha 6448 African Methodist Episcopal Church 6449 St John's Apostolic Church 6450 International Pentecost Church 6451 Ethiopian type churches 6452 Ethnic churches 6453 Other African Independent Churches 6454 Other Christian Churches 6455 Other Catholic Churches 6456 Other Pentecostal Churches 6457 Other Orthodox Churches 6458 Other African Apostolic churches 6459 Other Assemblies 6460 Christian Scientist 6461 Christian Centres 6462 Other Evangelical Churches 6463 Other Charismatic Churches 6464 Just a Christian or non-denominational 6465 Other 6466 Other Christian, Suriname 6467 Other Christian 6468 Other Christian, Saint Lucia 6469 Church of God 6470 Other Christian, Senegal 6471 Other Christian 6472 Other Christian, Switzerland 6473 Other protestant churches and communities 6474 Christ-Catholic church 6475 Other Christian communities 6476 Other Christian, Trinidad and Tobago 6477 Church of God 6478 African Methodist Espiscopalians 6479 Brethren, Christian or Plymouth 6480 Church of Christ 6481 Gospel Hall or Gospel Missionary 6482 Nazarenes 6483 Pilgrim Holiness 6484 Ethiopian Orthodox 6485 Open Bible Church 6486 Assemblies of Yahweh 6487 Evangelical Church of West Indies 6488 Christadelphian 6489 Full Gospel Fellowship 6490 Dutch Reform 6491 Christian Brotherhood Assembly 6492 Other Christian, Uganda 6493 Other Christian 6494 Salvation Army 6495 Other Christian non-Catholic, Uruguay 6496 Other Christian non-Catholic, Guatemala 6497 Other Christian, Togo 7000 Other 7001 Bahai 7002 Sikh 7003 Rastafarian 7100 Other, Armenia 7101 Pagan 7102 Shar-fadinian 7103 Other, Austria 7104 Unification Church, Austria 7105 Other, Benin 7106 Traditional 7107 Vodoun 7108 Other, Botswana 7109 Badimo 7110 Other, Brazil 7111 Spiritist 7112 Kardecist Spiritist 7113 Afro Spiritist 7114 Mediumistic Spiritist 7115 Umbandist Mediumistic 7116 Candomblecist Mediumistic 7117 Other Afro-Brazilian 7118 Oriental, Brazil 7119 New Oriental 7120 Oriental Seicho No-le 7121 Other Oriental, Brazil 7122 Esoteric, Brazil 7123 Indigenous, Brazil 7124 Other minority groups, Brazil 7125 Other, Burkina Faso 7126 Animist 7127 Other, Cameroon 7128 Animist 7129 Other, Canada 7130 Eastern religions, Canada 7131 Other, Chile 7132 Theosophism 7133 Shintoism 7134 Other, Ethiopia 7135 Traditional 7136 Other, Ethiopia 7137 Other, Fiji 7138 Confucian 7139 Kabir Panthi 7140 Satya Sai Baba 7141 Bahai 7142 Other non-Christian, Fiji 7143 Other, Germany 7144 Other, Germany 7145 Other, Ghana 7146 Traditional, Ghana 7147 Other, Guinea 7148 Animist 7149 Other, Guinea 7150 Other, Haiti 7151 Voodoo 7152 Other, India 7153 Jainism 7154 Zoroastrianism 7155 Other, India 7156 Other, Indonesia 7157 Confucianism 7158 Other, Indonesia 7159 Other, Iran 7160 Zoroastrian 7161 Other, Iran 7162 Other, Ivory Coast 7163 Animist 7164 Harrist 7165 Other, Jamaica 7166 Muslim/Hindu 7167 Other, Israel 7168 Druse 7169 Other, Israel 7170 Other, Laos 7171 Animist 7172 Other, Liberia 7173 Traditional 7174 Other, Malaysia 7175 Confucianism/Taoism 7176 Tribal/Folk religion, Malaysia 7177 Other, Mali 7178 Animist 7179 Other, Mexico 7180 Brahmanism 7181 Hare Krishna 7182 Shintoism 7183 Taoism 7184 Mexican Movements 7185 Ananda Marga 7186 Church of Scientology 7187 Masons 7188 Raelian Movement 7189 New Age Movement 7190 Neoisraelites 7191 Occultists 7192 Palmar of Troya 7193 Rose Cross 7194 Theosophism 7195 Spiritualist Special Keys 7196 Onkaranada Center 7197 Confucianism 7198 Shia 7199 Universal Great Brotherhood 7200 Esoteric Science 7201 Gnosticism 7202 Metaphysics 7203 Wicca 7204 Shamanism 7205 The Custom 7206 Mexicayotl 7207 Restorative Confederate Movement of Anahuac Culture 7208 African Origin 7209 Indigenous Religions 7210 Growing in Grace 7211 Eckankar 7212 Transcendental Meditation 7213 Mission Branch 7214 Children of God 7215 Sri Sathya Sai Baba 7216 Other religions from Asia 7217 Ethnic roots 7218 Afro roots 7219 Popular cults 7220 Other new religious movements 7221 Other, Nepal 7222 Kirat 7223 Jain 7224 Garaute 7225 Tap jura 7226 Bon 7227 Prakriti 7228 Other, Nigeria 7229 Traditional 7230 Other, Pakistan 7231 Ahmadi 7232 Parsi 7233 Scheduled caste 7234 Other, Paraguay 7235 Philosophical revelations 7236 Indigenous religion 7237 Reyukai 7238 Other, Paraguay 7239 Other, Philippines 7240 Door of Faith 7241 Faith Tabernacle Church (Living Rock Ministries) 7242 Iglesia Filipina Independiente 7243 International One Way Outreach 7244 Miracle Life Fellowship International 7245 Miracle Revival Church of the Philippines 7246 Philippine Good News Ministries 7247 Philippine Missionary fellowship 7248 Things to Come 7249 Way of Salvation 7250 Word of the World 7251 Word International Ministries 7252 Tribal Religions, Philippines 7253 Other, Romania 7254 Unitarian 7255 Armenian 7256 Mosaic 7257 Other, Romania 7258 Other, Rwanda 7259 Traditional religion, Rwanda 7260 Other, Rwanda 7261 Other, Sierra Leone 7262 Traditional religion, Sierra Leone 7263 Other, South Africa 7264 African traditional belief 7265 Taoist 7266 Confucian 7267 New Age 7268 Winti 7269 Javanism 7270 Other non-Christian, S. Africa 7271 Other, Suriname 7272 Javanism 7273 Traditional 7274 Winti 7275 Other, Thailand 7276 Confucian 7277 Other, Trinidad and Tobago 7278 Pocamania or Shango 7279 Orisha 7280 Other, Uganda 7281 Traditional religion 7282 Mammon 7283 Other non-Christian, Uganda 7284 Other, United Kindom 7285 Other, Uruguay 7286 Umbanda/other Afro-American 7287 Other, Uruguay 7288 Other, Vietnam 7289 Cao Dai 7290 Cham Brahmin 7296 Other, Togo 7297 Animist 7900 Other, not elsewhere classified 9999 Unknown RELIGION indicates the person's religion, including "none." IPUMS School attendance NIU (not in universe) 1 Yes 2 No, not specified 3 No, attended in the past 4 No, never attended 9 Unknown/missing 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. IPUMS Literacy NIU (not in universe) 1 No, illiterate 2 Yes, literate 9 Unknown/missing 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. IPUMS Educational attainment, international recode [general version] NIU (not in universe) 1 Less than primary completed 2 Primary completed 3 Secondary completed 4 University completed 9 Unknown 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. IPUMS Educational attainment, international recode [detailed version] 000 NIU (not in universe) 100 Less than primary completed (n.s.) 110 No schooling 120 Some primary completed 130 Primary (4 yrs) completed 211 Primary (5 yrs) completed 212 Primary (6 yrs) completed 221 Lower secondary general completed 222 Lower secondary technical completed 311 Secondary, general track completed 312 Some college completed 320 Secondary or post-secondary technical completed 321 Secondary, technical track completed 322 Post-secondary technical education 400 University completed 999 Unknown/missing 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. IPUMS Educational attainment, Indonesia 000 NIU (not in universe) 010 None 011 No schooling or primary not completed 020 Preschool 021 Preschool, not completed 022 Preschool, completed 030 Primary education (6 years) 031 Primary education (6 years), grade 1 032 Primary education (6 years), grade 2 033 Primary education (6 years), grade 3 034 Primary education (6 years), grade 4 035 Primary education (6 years), grade 5 036 Primary education (6 years), grade 6 037 Primary education (6 years), grade unknown 038 Primary education (6 years), not completed 039 Primary education (6 years), completed 040 Primary education (3 years) 041 Primary education (3 years), grade 1 042 Primary education (3 years), grade 2 043 Primary education (3 years), grade 3 044 Primary education (3 years), completed 050 Junior high school 051 Junior high school, grade 1 052 Junior high school, grade 2 053 Junior high school, grade 3 054 Junior high school, grade unknown 055 Junior high school, completed 060 Junior vocational school 061 Junior vocational school, grade 1 062 Junior vocational school, grade 2 063 Junior vocational school, grade 3 064 Junior vocational school, grade unknown 065 Junior vocational school, completed 070 Senior high school 071 Senior high school, grade 1 072 Senior high school, grade 2 073 Senior high school, grade 3 074 Senior high school, grade unknown 075 Senior high school, completed 080 Senior vocational school 081 Senior vocational school, grade 1 082 Senior vocational school, grade 2 083 Senior vocational school, grade 3 084 Senior vocational school, grade unknown 086 Senior vocational school, completed 090 Diploma I/II 091 Diploma I/II, year 1 092 Diploma I/II, year 2 093 Diploma I/II, completed 100 Academy/Diploma III 101 Academy/Diploma III, year 1 102 Academy/Diploma III, year 2 103 Academy/Diploma III, year 3 104 Academy/Diploma III, year 4 105 Academy/Diploma III, year unknown 106 Academy/Diploma III, completed 110 University/Diploma IV 111 University/Diploma IV, year 1 112 University/Diploma IV, year 2 113 University/Diploma IV, year 3 114 University/Diploma IV, year 4 115 University/Diploma IV, year 5 116 University/Diploma IV, year 6 117 University/Diploma IV, year 7 118 University/Diploma IV, year unknown 119 University/Diploma IV, completed 120 Graduate school 121 Graduate school, not completed 122 Graduate school, completed 123 Masters 124 Doctoral program 998 Unknown EDUCID indicates the person's educational attainment in Indonesia in terms of the level of schooling completed. IPUMS Activity status (employment status) [general version] NIU (not in universe) 1 Employed 2 Unemployed 3 Inactive 9 Unknown/missing 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". IPUMS Activity status (employment status) [detailed version] 000 NIU (not in universe) 100 Employed, not specified 110 At work 111 At work, and 'student' 112 At work, and 'housework' 113 At work, and 'seeking work' 114 At work, and 'retired' 115 At work, and 'no work' 116 At work, and other situation 117 At work, family holding, not specified 118 At work, family holding, not agricultural 119 At work, family holding, agricultural 120 Have job, not at work in reference period 130 Armed forces 131 Armed forces, at work 132 Armed forces, not at work in reference period 133 Military trainee 140 Marginally employed 200 Unemployed, not specified 201 Unemployed 6 or more months 202 Worked fewer than 6 months, permanent job 203 Worked fewer than 6 months, temporary job 210 Unemployed, experienced worker 220 Unemployed, new worker 230 No work available 240 Inactive unemployed 300 Inactive (not in labor force) 310 Housework 320 Unable to work, disabled or health reasons 321 Permanent disability 322 Temporary illness 323 Disabled or imprisoned 330 In school 340 Retirees and living on rent 341 Living on rents 342 Living on rents or pension 343 Retirees/pensioners 344 Retired 345 Pensioner 346 Non-retirement pension 347 Disability pension 348 Retired without benefits 350 Elderly 351 Elderly or disabled 360 Institutionalized 361 Prisoner 370 Intermittent worker 371 Not working, seasonal worker 372 Not working, occasional worker 380 Other income recipient 390 Inactive, other reasons 391 Too young to work 392 Dependent 999 Unknown/missing 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". IPUMS Labor force participation 1 No, not in the labor force 2 Yes, in the labor force 8 Unknown 9 NIU (not in universe) LABFORCE is a dichotomous variable identifying whether a person participated in the labor force. Labor force participation generally means working or seeking work within a specified reference period. For most samples LABFORCE is a recode of EMPSTAT (employment status). A consistent lower age universe of 15 or older has been applied to increase comparability across samples. Full detail is retained in EMPSTAT, which should be used for any study of child labor. IPUMS Occupation, ISCO general 01 Legislators, senior officials and managers 02 Professionals 03 Technicians and associate professionals 04 Clerks 05 Service workers and shop and market sales 06 Skilled agricultural and fishery workers 07 Crafts and related trades workers 08 Plant and machine operators and assemblers 09 Elementary occupations 10 Armed forces 11 Other occupations, unspecified or n.e.c. 97 Response suppressed 98 Unknown 99 NIU (not in universe) 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. IPUMS Occupation, unrecoded 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. 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. CodesArgentina 1970 - Spanish Argentina 1980 - Spanish Argentina 1991 - Spanish Argentina 2001 - Spanish Armenia 2011 Austria 1971-2001 - German Belarus 1999 - Russian Belarus 2009 Benin 1979 Benin 1992 Benin 2002 Benin 2013 Bolivia 1976 Bolivia 1992 Bolivia 2001 Bolivia 2012 Botswana 1981 Botswana 1991 Botswana 2001 Botswana 2011 Brazil 1960 - Portuguese Brazil 1970 - Portuguese Brazil 1980 - Portuguese Brazil 1991 - Portuguese Brazil 2000 - Portuguese Brazil 2010 Burkina Faso 1985 Burkina Faso 1996 Cambodia 1998 Cambodia 2004 Cambodia 2008 Cambodia 2013 Cambodia 2019 Cameroon 1976 Cameroon 2005 Canada 1971 Canada 1981-1991 Canada 2001 Canada 2011 Chile 1960 Chile 1970 Chile 1982 Chile 1992 Chile 2002 China 1982 China 1990 China 2000 Colombia 1964 Colombia 1973 - Spanish Costa Rica 1973 Costa Rica 1984 Costa Rica 2000 Costa Rica 2011 Cote d'Ivoire 1988 Cote d'Ivoire 1998 Cuba 2002 Cuba 2012 Denmark 1845 Denmark 1880 Denmark 1885 Dominican Republic 1960 Dominican Republic 1970 Dominican Republic 1981 Dominican Republic 2002 Dominican Republic 2010 Ecuador 1962 Ecuador 1974 Ecuador 1982 Ecuador 1990 Ecuador 2001 Ecuador 2010 Egypt 1986 Egypt 2006 El Salvador 1992 El Salvador 2007 Ethiopia 1984 Ethiopia 1994 Fiji 1976 Fiji 1986 Fiji 1996 Fiji 2007 Fiji 2014 Finland 2010 France 1962-1990 - French France 1999 France 2006 France 2011 Germany 1970 Germany 1981 Germany 1987 Ghana 1984 Ghana 2000 Ghana 2010 Greece 1971-1991 - Greek Greece 2001 - Greek Greece 2011 Guatemala 1964 Guatemala 1973 Guatemala 1981 Guatemala 1994 Guatemala 2002 Guinea 1983 Guinea 1996 Guinea 2014 Haiti 1982 Haiti 2003 Honduras 1961 Honduras 1974 Honduras 1988 Honduras 2001 Hungary 1970-1990 Hungary 2001 Hungary 2011 India 1983-2004 India 2009 Indonesia 1971 Indonesia 1976 Indonesia 1980 Indonesia 1985 Indonesia 1990 Indonesia 1995 Indonesia 2005 Iran 2006 Iran 2011 Iraq 1997 Ireland 1901 Ireland 1911 Ireland 1971 Ireland 1981 Ireland 1986 Ireland 1991 Ireland 1996 Ireland 2002 Ireland 2006 Ireland 2011 Ireland 2016 Israel 1972 Israel 1983 Israel 1995 Israel 2008 Italy 2001 Italy 2011 Italy Surveys 2011-2020 Jamaica 1982 Jamaica 1991 Jamaica 2001 Jordan 2004 Kenya 1989 Kyrgyz Republic 1999 Laos 1995 Lesotho 1996 Lesotho 2006 Liberia 1974 Liberia 2008 Malawi 1987 Malawi 1998 Malawi 2008 Malaysia 1970 Malaysia 1980-1991 Malaysia 2000 Mali 1987 Mali 1998 Mali 2009 Mauritius 1990 Mauritius 2000 Mauritius 2011 Mexico 1960 - Spanish Mexico 1970 - Spanish Mexico 1990 - Spanish Mexico 1995 - Spanish Mexico 2000 - Spanish Mexico 2010 Mexico 2015 Mexico 2020 Mexico Surveys 2005-2020 Mongolia 2000 Morocco 1982 Morocco 1994 Morocco 2004 Morocco 2014 Mozambique 1997 Mozambique 2007 Myanmar 2014 Nepal 2001 Nepal 2011 Netherlands 1960 Netherlands 1971 Netherlands 2001 Netherlands 2011 Nicaragua 1971 Nicaragua 1995 Nicaragua 2005 Nigeria 2008 Nigeria 2009 Nigeria 2010 Pakistan 1973 Palestine 1997 Palestine 2007 Palestine 2017 Panama 1960 - Spanish Panama 1970 - Spanish Panama 1980 - Spanish Panama 1990 - Spanish Panama 2000 - Spanish Panama 2010 Papua New Guinea 1980 Papua New Guinea 1990 Papua New Guinea 2000 Paraguay 1962 Paraguay 1972 Paraguay 1982 Paraguay 1992 Paraguay 2002 Peru 1993 Peru 2007 Peru 2017 Philippines 1990 Philippines 2000 Philippines 2010 Poland 1978 Poland 1988 Poland 2002 Portugal 1981 - Portuguese Portugal 1991 - Portuguese Portugal 2001 - Portuguese Portugal 2011 Puerto Rico 1970 Puerto Rico 1980 Puerto Rico 1990 Puerto Rico 2000-2005 Puerto Rico 2010 Puerto Rico 2015 Puerto Rico 2020 Romania 1977 Romania 1992 Romania 2002 Romania 2011 Rwanda 2002 - French Rwanda 2012 Saint Lucia 1991 Senegal 1988 Senegal 2002 Senegal 2013 Slovak Republic 1991 Slovak Republic 2001 Slovak Republic 2011 Sierra Leone 2004 Sierra Leone 2015 Slovenia 2002 South Africa 1996 South Africa 2001 South Africa 2007 South Sudan 2008 Spain 1981 - Spanish Spain 1991 - Spanish Spain 2001 - Spanish Spain 2011 Spain Surveys 2005-2020 Sudan 2008 Suriname 2004 Suriname 2012 Switzerland 1970 Switzerland 1980 Switzerland 1990 Switzerland 2000 Switzerland 2011 Tanzania 1988 Tanzania 2002 Tanzania 2012 Thailand 1970 Thailand 1980 Thailand 1990 Thailand 2000 Togo 1960 Togo 1970 Togo 2010 Trinidad and Tobago 1990 Trinidad and Tobago 2000 Trinidad and Tobago 2011 Turkey 1985 Turkey 1990 Turkey 2000 Uganda 1991 Uganda 2002 Uganda 2014 United Kingdom 1961 United Kingdom 1971 United Kingdom 1991 United Kingdom 2001 United States 1960 United States 1970 United States 1980 United States 1990 United States 2000-2005 United States 2010 United States 2015 United States 2020 Uruguay 1963 Uruguay 1975 Uruguay 1996 Uruguay 2006 Venezuela 1981 Venezuela 1990 Venezuela 2001 - Spanish Vietnam 1989 Vietnam 1999 Vietnam 2009 Vietnam 2019 Zambia 1990 Zambia 2000 Zambia 2010 Zimbabwe 2012 IPUMS Occupation, ISCO-1968, 3-digit 011 Chemists 012 Physicists 013 Physical scientists not elsewhere classified 014 Physical science technicians 021 Architects and town planners 022 Civil engineers 023 Electrical and electronics engineers 024 Mechanical engineers 025 Chemical engineers 026 Metallurgists 027 Mining engineers 028 Industrial engineers 029 Engineers not elsewhere classified 031 Surveyors 032 Draughtsmen 033 Civil engineering technicians 034 Electrical and electronics engineering technicians 035 Mechanical engineering technicians 036 Chemical engineering technicians 037 Metallurgical technicians 038 Mining technicians 039 Engineering technicians not elsewhere classified 041 Aircraft pilots, navigators and flight engineers 042 Ships' deck officers and pilots 043 Ships' engineers 049 Aircraft and ships officers, n.e.c. 051 Biologists, zoologists and related scientists 052 Bacteriologists, pharmacologists and related scientists 053 Agronomists and related scientists 054 Life sciences technicians 059 Life sciences technicians and related technicians, n.e.c. 061 Medical doctors 062 Medical assistants 063 Dentists 064 Dental assistants 065 Veterinarians 066 Veterinary assistants 067 Pharmacists 068 Pharmaceutical assistants 069 Dietitians and public health nutritionists 071 Professional nurses 072 Nursing personnel not elsewhere classified 073 Professional midwives 074 Midwifery personnel not elsewhere classified 075 Optometrists and opticians 076 Physiotherapists and occupational therapists 077 Medical Xray technicians 079 Medical, dental, veterinary and related workers not elsewhere classified 081 Statisticians 082 Mathematicians and actuaries 083 Systems Analysts 084 Statistical and mathematical technicians 089 Statisticians, mathematicians, systems analysts and related technicians, n.e.c. 090 Economists 099 Other social scientists, n.e.c. 110 Accountants 121 Lawyers 122 Judges 129 Jurists not elsewhere classified 131 University and higher education teachers 132 Secondary education teachers 133 Primary education teachers 134 Preprimary education teachers 135 Special education teachers 139 Teachers not elsewhere classified 141 Ministers of religion and related members of religious orders 149 Workers in religion not elsewhere classified 151 Authors and critics 159 Authors, journalists and related writers not elsewhere classified 161 Sculptors, painters and related artists 162 Commercial artists and designers 163 Photographers and cameramen 169 Sculptors, painters and related artists, n.e.c. 171 Composers, musicians and singers 172 Choreographers and dancers 173 Actors and stage directors 174 Producers, performing arts 175 Circus performers 179 Performing artists not elsewhere classified 180 Athletes, sportsmen and related workers 191 Librarians, archivists and curators 192 Sociologists, anthropologists and related scientists 193 Social workers 194 Personnel and occupational specialists 195 Philologists, translators and interpreters 199 Other professional, technical and related workers 201 Legislative officials 202 Government administrators 211 General managers 212 Production managers (except farm) 219 Managers not elsewhere classified 299 Administrative and managerial, n.e.c. 300 Clerical supervisors 310 Government executive officials 321 Stenographers, typists and teletypists 322 Card and tapepunching machine operators 323 Telex operators 329 Stenegraphers, typists and teletypists, n.e.d. 331 Bookkeepers and cashiers 339 Bookkeepers, cashiers and related workers not elsewhere classified 341 Bookkeeping and calculating machine operators 342 Automatic dataprocessing machine operators 349 Computing machine operators, n.e.c. 351 Railway station masters 352 Postmasters 359 Transport and communications supervisors not elsewhere classified 360 Transport conductors 370 Mail distribution clerks 380 Telephone and telegraph operators 391 Stock clerks 392 Material and production planning clerks 393 Correspondence and reporting clerks 394 Receptionists and travel agency clerks 395 Library and filing clerks 399 Clerks not elsewhere classified 400 Managers (wholesale and retail trade) 410 Working proprietors (wholesale and retail trade) 421 Sales supervisors 422 Buyers 431 Technical salesmen and service advisers 432 Commercial travellers and Manufacturers' agents 439 Technical salesmen, commercial travellers and manufacturers' agents, n.e.c. 441 Insurance, real estate and securities salesmen 442 Business services salesmen 443 Auctioneers 451 Salesmen, shop assistants and demonstrators 452 Street vendors, canvassers and newsvendors 454 Itinerant traders 459 Salesmen, shop assistants and demonstrators, n.e.c. 490 Sales workers not elsewhere classified 500 Managers (catering and lodging services) 510 Working proprietors (catering and lodging services) 520 Housekeeping and related service supervisors 531 Cooks 532 Waiters, bartenders and related workers 540 Maids and related housekeeping service workers not elsewhere classified 551 Building caretakers 552 Charworkers, cleaners and related workers 560 Launderers, drycleaners and pressers 570 Hairdressers, barbers, beauticians and related workers 581 Firefighters 582 Policemen and detectives 589 Protective service workers not elsewhere classified 591 Guides 592 Undertakers and embalmers 599 Other service workers 600 Farm managers and supervisors 611 General farmers 612 Specialised farmers 621 General farm workers 622 Field crop and vegetable farm workers 623 Orchard, vineyard and related tree and shrub crop workers 624 Livestock workers 625 Dairy farm workers 626 Poultry farm workers 627 Nursery workers and gardeners 628 Farm machinery operators 629 Agricultural and animal husbandry workers not elsewhere classified 631 Loggers 632 Forestry workers (except logging) 639 Forestry and loggers, n.e.c. 641 Fishermen 649 Fishermen, hunters and related workers not elsewhere classified 700 Production supervisors and general foremen 711 Miners and quarrymen 712 Mineral and stone treaters 713 Well drillers, borers and related workers 721 Metal smelting, converting and refining furnacemen 722 Metal rollingmill workers 723 Metal melters and reheaters 724 Metal casters 725 Metal moulders and coremakers 726 Metal annealers, temperers and casehardeners 727 Metal drawers and extruders 728 Metal platers and coaters 729 Metal processers not elsewhere classified 731 Wood treaters 732 Sawyers, plywood makers and related woodprocessing workers 733 Paper pulp preparers 734 Paper makers 739 Wood preparation workers and paper makers, n.e.c. 741 Crushers, grinders and mixers 742 Cookers, roasters and related heattreaters 743 Filter and separator operators 744 Still and reactor operators 745 Petroleum refining workers 749 Chemical processers and related workers not elsewhere classified 751 Fibre preparers 752 Spinners and winders 753 Weaving and knittingmachine setters and patterncard preparers 754 Weavers and related workers 755 Knitters 756 Bleachers, dyers and textile product finishers 759 Spinners, weavers, knitters, dyers and related workers not elsewhere classified 761 Tanners and fellmongers 762 Pelt dressers 769 Tanners, fellmongers and pelt dressers, n.e.c. 771 Grain millers and related workers 772 Sugar processers and refiners 773 Butchers and meat preparers 774 Food preservers 775 Dairy product processers 776 Bakers, pastrycooks and confectionery makers 777 Tea, coffee and cocoa preparers 778 Brewers, wine and beverage makers 779 Food and beverage processers not elsewhere classified 781 Tobacco preparers 782 Cigar makers 783 Cigarette makers 789 Tobacco preparers and tobacco product makers not elsewhere classified 791 Tailors and dressmakers 792 Fur tailors and related workers 793 Milliners and hatmakers 794 Patternmakers and cutters 795 Sewers and embroiderers 796 Upholsterers and related workers 799 Tailors, dressmakers, sewers, upholsterers and related workers not elsewhere classified 801 Shoemakers and shoe repairers 802 Shoe cutters, lasters, sewers and related workers 803 Leather goods makers 811 Cabinetmakers 812 Woodworking machine operators 819 Cabinetmakers and related woodworkers not elsewhere classified 820 Stone cutters and carvers 831 Blacksmiths, hammersmiths and forgingpress operators 832 Toolmakers, metal patternmakers and metal markers 833 Machinetool setteroperators 834 Machinetool operators 835 Metal grinders, polishers and tool sharpeners 839 Blacksmiths, toolmakers and machinetool operators not elsewhere classified 841 Machinery fitters and machine assemblers 842 Watch, clock and precision instrument makers 843 Motor vehicle mechanics 844 Aircraft engine mechanics 849 Machinery fitters, machine assemblers and precision instrument makers (except electrical) not elsewhere classified 851 Electrical fitters 852 Electronics fitters 853 Electrical and electronics equipment assemblers 854 Radio and television repairmen 855 Electrical wiremen 856 Telephone and telegraph installers 857 Electric linemen and cable jointers 859 Electrical fitters and related electrical and electronics workers not elsewhere classified 861 Broadcasting station operators 862 Sound equipment operators and cinema projectionists 871 Plumbers and pipe fitters 872 Welders and flamecutters 873 Sheetmetal workers 874 Structural metal preparers and erectors 879 Other plumbers, welders, sheet metal and structural metal preparers and erectors 880 Jewellery and precious metal workers 891 Glass formers, cutters, grinders and finishers 892 Potters and related clay and abrasive formers 893 Glass and ceramics kilnmen 894 Glass engravers and etchers 895 Glass and ceramics painters and decorators 899 Glass formers, potters and related workers not elsewhere classified 901 Rubber and plastics product makers (except tire makers and tire vulcanisers) 902 Tire makers and vulcanisers 910 Paper and paperboard products makers 921 Compositors and typesetters 922 Printing pressmen 923 Stereotypers and electrotypers 924 Printing engravers (except photoengravers) 925 Photoengravers 926 Bookbinders and related workers 927 Photographic darkroom workers 929 Printers and related workers not elsewhere classified 931 Painters, construction 939 Painters not elsewhere classified 941 Musical instrument makers and tuners 942 Basketry weavers and brush makers 943 Nonmetallic mineral product makers 949 Other production and related workers 951 Bricklayers, stonemasons and tile setters 952 Reinforced concreters, cement finishers and terrazzo workers 953 Roofers 954 Carpenters, joiners and parquetry workers 955 Plasterers 956 Insulators 957 Glaziers 959 Construction workers not elsewhere classified 961 Power generating machinery operators 969 Stationary engine and related equipment operators not elsewhere classified 971 Dockers and freight handlers 972 Riggers and cable splicers 973 Crane and hoist operators 974 Earthmoving and related machinery operators 979 Material handling equipment operators not elsewhere classified 981 Ships' deck ratings, barge crews and boatmen 982 Ships' engineroom ratings 983 Railway engine drivers and firemen 984 Railway brakemen, signalmen and shunters 985 Motor vehicle drivers 986 Animal and animaldrawn vehicle drivers 989 Transport equipment operators not elsewhere classified 990 Labourers not elsewhere classified 995 Armed forces 997 Response suppressed 998 Unknown 999 NIU (not in universe) ISCO68A provides the 3-digit occupation code for the respondent using the ISCO-1968 occupation classification. IPUMS Industry, general recode 000 NIU (not in universe) 010 Agriculture, fishing, and forestry 020 Mining and extraction 030 Manufacturing 040 Electricity, gas, water and waste management 050 Construction 060 Wholesale and retail trade 070 Hotels and restaurants 080 Transportation, storage, and communications 090 Financial services and insurance 100 Public administration and defense 110 Services, not specified 111 Business services and real estate 112 Education 113 Health and social work 114 Other services 120 Private household services 130 Other industry, n.e.c. 998 Response suppressed 999 Unknown 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. IPUMS Industry, unrecoded "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. 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. CodesArgentina 1970 - Spanish Argentina 1980 - Spanish Argentina 1991 - Spanish Argentina 2001 - Spanish Armenia 2001 Armenia 2011 Austria 1971-2001 - German Austria 2011 Bangladesh 1991 Bangladesh 2001 Bangladesh 2011 Belarus 2009 Benin 1979 Benin 1992 Benin 2002 Benin 2013 Bolivia 1976 Bolivia 1992 Bolivia 2001 Bolivia 2012 Botswana 1981 Botswana 1991 Botswana 2001 Botswana 2011 Brazil 1960 - Portuguese Brazil 1970 - Portuguese Brazil 1980 - Portuguese Brazil 1991 - Portuguese Brazil 2000 - Portuguese Brazil 2010 Burkina Faso 1996 Cambodia 1998 Cambodia 2004 Cambodia 2008 Cambodia 2013 Cambodia 2019 Cameroon 2005 Canada 1971 Canada 1981 Canada 1991-2001 Canada 2011 Chile 1960 Chile 1970 Chile 1982 Chile 1992 Chile 2002 Chile 2017 China 1982 China 1990 China 2000 Colombia 1964 - Spanish Colombia 1973 - Spanish Colombia 1993 - Spanish Colombia 2005 - Spanish Costa Rica 1963 Costa Rica 1973 Costa Rica 1984 Costa Rica 2000 Costa Rica 2011 Cote d’Ivoire 1988 Cote d’Ivoire 1998 Cuba 2002 Cuba 2012 Dominican Republic 1960 Dominican Republic 1970 Dominican Republic 1981 Dominican Republic 2002 Dominican Republic 2010 Ecuador 1962 Ecuador 1982 Ecuador 1990 Ecuador 2001 Ecuador 2010 Egypt 1986 Egypt 1996 Egypt 2006 El Salvador 1992 El Salvador 2007 Ethiopia 1984 Ethiopia 1994 Fiji 1966 Fiji 1976 Fiji 1986 Fiji 1996 Fiji 2007 Fiji 2014 Finland 2010 France 1962-1968 - French France 1975-1982 - French France 1990 - French France 1999 France 2006 France 2011 Germany 1970 Germany 1971 Germany 1981 Germany 1987 Ghana 1984 Ghana 2000 Ghana 2010 Greece 1971 Greece 1981 Greece 1991-2001 Greece 2011 Guatemala 1964 Guatemala 1973 Guatemala 1981 Guatemala 1994 Guatemala 2002 Guinea 1983 Guinea 2014 Haiti 1971 Haiti 1982 Haiti 2003 Honduras 1961 Honduras 1974 Honduras 2001 Hungary 2001 Hungary 2011 India 1983 India 1987 India 1993 India 1999 India 2004 India 2009 Indonesia 1971 Indonesia 1976 Indonesia 1980 Indonesia 1985 Indonesia 1990 Indonesia 1995 Indonesia 2000 Indonesia 2005 Indonesia 2010 Iran 2006 Iran 2011 Iraq 1997 Ireland 1971 Ireland 1981 Ireland 1986 Ireland 1991 Ireland 1996 Ireland 2002 Ireland 2006 Ireland 2011 Ireland 2016 Israel 1972 Israel 1983 Israel 1995 Israel 2008 Italy 2001 Italy 2011 Italy Surveys 2011-2013 Italy Surveys 2014-2020 Jamaica 1982 Jamaica 1991 Jamaica 2001 Jordan 2004 Kyrgyz Republic 1999 Kyrgyz Republic 2009 Laos 1995 Laos 2005 Laos 2015 Lesotho 2006 Liberia 1974 Liberia 2008 Malawi 1987 Malawi 1998 Malawi 2008 Malaysia 1970 Malaysia 1980-1991 Malaysia 2000 Mali 1987 Mali 1998 Mali 2009 Mauritius 1990 Mauritius 2000 Mauritius 2011 Mexico 1960 - Spanish Mexico 1970 - Spanish Mexico 1990 - Spanish Mexico 1995 - Spanish Mexico 2000 - Spanish Mexico 2010 Mexico 2015 Mexico 2020 Mexico surveys 2005-2019 Morocco 1982 Morocco 1994 Morocco 2004 Morocco 2014 Mozambique 1997 Mozambique 2007 Myanmar 2014 Nepal 2001 Nepal 2011 Netherlands 1960 Netherlands 1971 Netherlands 2001 Netherlands 2011 Nicaragua 1971 Nicaragua 1995 Nicaragua 2005 Nigeria 2006 Nigeria 2007 Nigeria 2008 Nigeria 2009 Nigeria 2010 Pakistan 1973 Palestine 1997 Palestine 2007 Palestine 2017 Panama 1960 - Spanish Panama 1970-1980 - Spanish Panama 1990-2000 - Spanish Panama 2010 Papua New Guinea 1980 Papua New Guinea 2000 Paraguay 1962 Paraguay 1972 Paraguay 1982 Paraguay 1992 Paraguay 2002 Peru 1993 Peru 2007 Peru 2017 Philippines 1990 Philippines 1995 Philippines 2000 Philippines 2010 Poland 1978 Poland 2002 Portugal 1981 - Portuguese Portugal 1991-2001 - Portuguese Portugal 2011 Puerto Rico 1970-2005 Puerto Rico 2010 Puerto Rico 2015 Puerto Rico 2020 Romania 1977 Romania 1992 Romania 2002 Romania 2011 Rwanda 2002 - French Rwanda 2012 Saint Lucia 1991 Senegal 1988 Senegal 2013 Sierra Leone 2004 South Africa 1996 South Africa 2001-2007 South Sudan 2008 Spain 1981 - Spanish Spain 1991 - Spanish Spain 2001 - Spanish Spain 2011 Spain Surveys 2005-2020 Sudan 2008 Suriname 2004 Suriname 2012 Switzerland 1970-2000 Switzerland 2011 Tanzania 2002 Tanzania 2012 Thailand 1970 Thailand 1980 Thailand 1990 Thailand 2000 Togo 1970 Togo 2010 Trinidad and Tobago 1980 Trinidad and Tobago 1990 Trinidad and Tobago 2000 Turkey 1985 Turkey 1990 Turkey 2000 Uganda 2002 United Kingdom 1961 United Kingdom 1971 United Kingdom 1991 United Kingdom 2001 United States 1960 United States 1970 United States 1980 United States 1990 United States 2000-2005 United States 2010 United States 2015 United States 2020 Uruguay 1963 Uruguay 1985 Uruguay 1996 Uruguay 2006 Venezuela 1981 Venezuela 1990 Venezuela 2001 - Spanish Vietnam 1989 Vietnam 1999 Vietnam 2009 Vietnam 2019 Zambia 1990 Zambia 2000 Zambia 2010 IPUMS Status in employment (class of worker) [general version] NIU (not in universe) 1 Self-employed 2 Wage/salary worker 3 Unpaid worker 4 Other 9 Unknown/missing 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. IPUMS Status in employment (class of worker) [detailed version] 000 NIU (not in universe) 100 Self-employed 101 Self-employed, unincorporated 102 Self-employed, incorporated 110 Employer 111 Sharecropper, employer 120 Working on own account 121 Own account, agriculture 122 Domestic worker, self-employed 123 Subsistence worker, own consumption 124 Own account, other 125 Own account, without temporary/unpaid help 126 Own account, with temporary/unpaid help 130 Member of cooperative 140 Sharecropper 141 Sharecropper, self-employed 142 Sharecropper, employee 150 Kibbutz member 199 Self-employed, not specified 200 Wage/salary worker 201 Management 202 Non-management 203 White collar (non-manual) 204 Blue collar (manual) 205 White or blue collar 206 Day laborer 207 Employee, with a permanent job 208 Employee, occasional, temporary, contract 209 Employee without legal contract 210 Wage/salary worker, private employer 211 Apprentice 212 Religious worker 213 Wage/salary worker, non-profit, NGO 214 White collar, private 215 Blue collar, private 216 Paid family worker 217 Cooperative employee 220 Wage/salary worker, government 221 Federal, government employee 222 State government employee 223 Local government employee 224 White collar, public 225 Blue collar, public 226 Public companies 227 Civil servants, local collectives 230 Domestic worker (work for private household) 240 Seasonal migrant 241 Seasonal migrant, no broker 242 Seasonal migrant, uses broker 250 Other wage and salary 251 Canal zone/commission employee 252 Government employment/training program 253 Mixed state/private enterprise/parastatal 254 Government public work program 255 State enterprise employee 256 Coordinated and continuous collaboration job 300 Unpaid worker 310 Unpaid family worker 320 Apprentice, unpaid or unspecified 330 Trainee 340 Apprentice or trainee 350 Works for others without wage 400 Other 999 Unknown/missing 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. IPUMS Migration status, previous residence 00 NIU (not in universe) 10 Same major administrative unit 11 Same major, same minor administrative unit 12 Same major, different minor administrative unit 20 Different major administrative unit 30 Abroad 98 Response suppressed 99 Not reported/missing/unknown MIGRATEP indicates whether the person's most recent move (if any) was between minor administrative units, major units, or countries. IPUMS 1st subnational geographic level of previous residence, world [consistent boundaries over time] 051901 Yerevan [Province: Armenia] 051902 Aragatsotn [Province: Armenia] 051903 Ararat [Province: Armenia] 051904 Armavir [Province: Armenia] 051905 Gegharkunik [Province: Armenia] 051906 Lori [Province: Armenia] 051907 Kotayk [Province: Armenia] 051908 Shirak [Province: Armenia] 051909 Syunik [Province: Armenia] 051910 Vayots Dzor [Province: Armenia] 051911 Tavush [Province: Armenia] 051912 Nagorno-Karabagh [Province: Armenia] 051997 Foreign country [Province: Armenia] 051998 Unknown [Province: Armenia] 051999 NIU (not in universe) [Province: Armenia] 112001 Brest [Region: Belarus] 112002 Vitebsk [Region: Belarus] 112003 Gomel [Region: Belarus] 112004 Grodno [Region: Belarus] 112006 Minsk, Minsk City [Region: Belarus] 112007 Mogilev [Region: Belarus] 112097 Foreign country [Region: Belarus] 112098 Unknown [Region: Belarus] 112099 NIU (not in universe) [Region: Belarus] 204001 Alibori [Department: Benin] 204002 Atacora [Department: Benin] 204003 Atlantique [Department: Benin] 204004 Borgou [Department: Benin] 204005 Collines [Department: Benin] 204006 Couffo [Department: Benin] 204007 Donga [Department: Benin] 204008 Littoral [Department: Benin] 204009 Mono [Department: Benin] 204010 Oueme [Department: Benin] 204011 Plateau [Department: Benin] 204012 Zou [Department: Benin] 204097 Abroad [Department: Benin] 204098 Unknown [Department: Benin] 204099 NIU (not in universe) [Department: Benin] 076011 Rondônia [State: Brazil] 076012 Acre [State: Brazil] 076013 Amazonas [State: Brazil] 076014 Roraima [State: Brazil] 076015 Pará [State: Brazil] 076016 Amapá [State: Brazil] 076021 Maranhão [State: Brazil] 076022 Piauí [State: Brazil] 076023 Ceará [State: Brazil] 076024 Rio Grande do Norte [State: Brazil] 076025 Paraíba [State: Brazil] 076026 Pernambuco, Arquipelago de Fernando de Noronha [State: Brazil] 076027 Alagoas [State: Brazil] 076028 Sergipe [State: Brazil] 076029 Bahia [State: Brazil] 076031 Minas Gerais [State: Brazil] 076032 Espírito Santo [State: Brazil] 076033 Rio de Janeiro, Guanabara [State: Brazil] 076035 São Paulo [State: Brazil] 076036 Serra dos Aimorés [State: Brazil] 076041 Paraná [State: Brazil] 076042 Santa Catarina [State: Brazil] 076043 Rio Grande do Sul [State: Brazil] 076051 Mato Grosso do Sul, Mato Grosso [State: Brazil] 076052 Goiás, Tocantins [State: Brazil] 076053 Distrito Federal [State: Brazil] 076054 Brazil, unspecified [State: Brazil] 076097 Abroad [State: Brazil] 076098 Unknown [State: Brazil] 076099 NIU (not in universe) [State: Brazil] 116001 Banteay Meanchey [Province: Cambodia] 116002 Battambang [Province: Cambodia] 116003 Kampong Cham, Tbong Khmum [Province: Cambodia] 116004 Kampong Chhnang [Province: Cambodia] 116005 Kampong Speu [Province: Cambodia] 116006 Kampong Thom [Province: Cambodia] 116007 Kampot [Province: Cambodia] 116008 Phnom Penh, Kandal [Province: Cambodia] 116009 Koh Kong, Preah Sihanouk [Province: Cambodia] 116010 Kratie [Province: Cambodia] 116011 Mondul Kiri [Province: Cambodia] 116013 Preah Vihear [Province: Cambodia] 116014 Prey Veng [Province: Cambodia] 116015 Pursat [Province: Cambodia] 116016 Ratanak Kiri [Province: Cambodia] 116017 Siem Reap, Otdar Meanchey [Province: Cambodia] 116019 Stung Treng [Province: Cambodia] 116020 Svay Rieng [Province: Cambodia] 116021 Takeo [Province: Cambodia] 116023 Kep [Province: Cambodia] 116024 Pailin [Province: Cambodia] 116097 Foreign country [Province: Cambodia] 116098 Unknown [Province: Cambodia] 116099 NIU (not in universe) [Province: Cambodia] 120002 Centre, Sud [Province: Cameroon] 120003 Est [Province: Cameroon] 120004 Nord, Adamoua, Extrème Nord [Province: Cameroon] 120005 Littoral [Province: Cameroon] 120007 Nord Ouest [Province: Cameroon] 120008 Ouest [Province: Cameroon] 120010 Sud Ouest [Province: Cameroon] 120096 Cameroon - unknown arrondissement [Province: Cameroon] 120097 Foreign country [Province: Cameroon] 120098 Unknown [Province: Cameroon] 120099 NIU (not in universe) [Province: Cameroon] 152001 Tarapaca [Province: Chile] 152002 Antofagasta [Province: Chile] 152003 Atacama [Province: Chile] 152004 Coquimbo [Province: Chile] 152005 Aconcagua [Province: Chile] 152006 Valparaíso [Province: Chile] 152007 Santiago [Province: Chile] 152008 O'Higgins [Province: Chile] 152009 Colchagua [Province: Chile] 152010 Curicó [Province: Chile] 152011 Talca [Province: Chile] 152012 Maule [Province: Chile] 152013 Linares [Province: Chile] 152014 Ñuble [Province: Chile] 152015 Concepción [Province: Chile] 152016 Arauco [Province: Chile] 152017 Bío Bío [Province: Chile] 152018 Malleco [Province: Chile] 152019 Cautín [Province: Chile] 152020 Valdivia [Province: Chile] 152021 Osorno [Province: Chile] 152022 Llanquihue [Province: Chile] 152023 Chiloé [Province: Chile] 152024 Aysén [Province: Chile] 152025 Magallanes [Province: Chile] 152097 Foreign country [Province: Chile] 152098 Unknown [Province: Chile] 152099 NIU (not in universe) [Province: Chile] 170005 Antioquia [Department: Colombia] 170008 Atlántico [Department: Colombia] 170011 Bogotá D.C., Cundinamarca [Department: Colombia] 170013 Bolívar, Sucre [Department: Colombia] 170015 Boyacá, Casanare [Department: Colombia] 170018 Caquetá [Department: Colombia] 170019 Cauca [Department: Colombia] 170023 Córdoba [Department: Colombia] 170027 Chocó [Department: Colombia] 170041 Huila [Department: Colombia] 170044 La Guajira [Department: Colombia] 170050 Meta [Department: Colombia] 170052 Nariño [Department: Colombia] 170054 Cesar, Norte De Santander, Magdalena [Department: Colombia] 170066 Caldas, Quindío, Risaralda [Department: Colombia] 170068 Santander [Department: Colombia] 170073 Tolima [Department: Colombia] 170076 Valle Del Cauca [Department: Colombia] 170081 Arauca [Department: Colombia] 170086 Putumayo [Department: Colombia] 170088 Archipiélago De San Andrés Y Providencia [Department: Colombia] 170095 Amazonas, Guaviare, Vaupés, Vichada, Guainía [Department: Colombia] 170097 Abroad [Department: Colombia] 170098 Unknown [Department: Colombia] 188001 San José [Province: Costa Rica] 188002 Alajuela [Province: Costa Rica] 188003 Cartago [Province: Costa Rica] 188004 Heredia [Province: Costa Rica] 188005 Guanacaste [Province: Costa Rica] 188006 Puntarenas [Province: Costa Rica] 188007 Limón [Province: Costa Rica] 188097 Foreign country [Province: Costa Rica] 188098 Unknown [Province: Costa Rica] 192021 Pinar del Río, Artemisa, Mayabeque [Province: Cuba] 192023 La Habana [Province: Cuba] 192025 Matanzas [Province: Cuba] 192026 Villa Clara [Province: Cuba] 192027 Cienfuegos [Province: Cuba] 192028 Sancti Spíritus [Province: Cuba] 192029 Ciego de Ávila [Province: Cuba] 192030 Camagüey [Province: Cuba] 192031 Las Tunas [Province: Cuba] 192032 Holguín [Province: Cuba] 192033 Granma [Province: Cuba] 192034 Santiago de Cuba [Province: Cuba] 192035 Guantánamo [Province: Cuba] 192040 Isla de la Juventud [Province: Cuba] 192997 Abroad [Province: Cuba] 192998 Unknown [Province: Cuba] 192999 NIU (not in universe) [Province: Cuba] 218001 Azuay [Province: Ecuador] 218002 Bolívar [Province: Ecuador] 218004 Carchi [Province: Ecuador] 218005 Cotopaxi [Province: Ecuador] 218006 Chimborazo [Province: Ecuador] 218007 El Oro [Province: Ecuador] 218009 Cañar, Esmeraldas, Guayas, Manabí, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los Ríos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos [Province: Ecuador] 218010 Imbabura, Las Golondrinas [Disputed canton] [Province: Ecuador] 218011 Loja [Province: Ecuador] 218014 Morona Santiago [Province: Ecuador] 218016 Pastaza [Province: Ecuador] 218018 Tungurahua [Province: Ecuador] 218019 Zamora Chinchipe [Province: Ecuador] 218021 Napo, Orellana, Sucumbíos [Province: Ecuador] 218097 Foreign country [Province: Ecuador] 218098 Unknown and Disputed Zones [Province: Ecuador] 218999 NIU (not in universe) [Province: Ecuador] 818000 Reported same governorate as household location [Governorate: Egypt] 818001 Giza, 6th October City, Cairo, Helwan [Governorate: Egypt] 818002 Alexandria [Governorate: Egypt] 818003 Port Said [Governorate: Egypt] 818004 Suez [Governorate: Egypt] 818011 Demietta [Governorate: Egypt] 818012 Dakahlia [Governorate: Egypt] 818013 Sharkia [Governorate: Egypt] 818014 Kaliobia [Governorate: Egypt] 818015 Kafr Sheikh [Governorate: Egypt] 818016 Gharbia [Governorate: Egypt] 818018 Menoufia, Behera [Governorate: Egypt] 818019 Ismailia [Governorate: Egypt] 818022 Bani Swif [Governorate: Egypt] 818023 Fayoum [Governorate: Egypt] 818024 Menia [Governorate: Egypt] 818025 Asiut [Governorate: Egypt] 818026 Sohag [Governorate: Egypt] 818027 Qena, Luxor [Governorate: Egypt] 818028 Aswan [Governorate: Egypt] 818031 Red Sea [Governorate: Egypt] 818032 New Valley [Governorate: Egypt] 818033 Marsa Matroh [Governorate: Egypt] 818034 North Sinai [Governorate: Egypt] 818035 South Sinai [Governorate: Egypt] 818097 Abroad [Governorate: Egypt] 818098 Unknown [Governorate: Egypt] 818099 NIU (not in universe) [Governorate: Egypt] 222001 Ahuachapán [Department: El Salvador] 222002 Santa Ana [Department: El Salvador] 222003 Sonsonate [Department: El Salvador] 222004 Chalatenango [Department: El Salvador] 222005 La Libertad [Department: El Salvador] 222006 San Salvador [Department: El Salvador] 222007 Cuscatlán [Department: El Salvador] 222008 La Paz [Department: El Salvador] 222009 Cabañas [Department: El Salvador] 222010 San Vicente [Department: El Salvador] 222011 Usulután [Department: El Salvador] 222012 San Miguel [Department: El Salvador] 222013 Morazán [Department: El Salvador] 222014 La Unión [Department: El Salvador] 222098 Abroad [Department: El Salvador] 222099 NIU (not in universe) [Department: El Salvador] 231001 Tigray [Region: Ethiopia] 231002 Affar [Region: Ethiopia] 231003 Amhara [Region: Ethiopia] 231004 Oromia, Somali [Region: Ethiopia] 231006 Benishangul-Gumuz [Region: Ethiopia] 231007 Southern Nations, Nationalities, and Peoples (SNNP) [Region: Ethiopia] 231012 Gambela [Region: Ethiopia] 231013 Harari [Region: Ethiopia] 231014 Addis Ababa [Region: Ethiopia] 231015 Dire Dawa [Region: Ethiopia] 231097 Abroad [Region: Ethiopia] 231099 NIU [Region: Ethiopia] 250001 Guadeloupe [Region: France] 250002 Martinique [Region: France] 250003 French Guyana [Region: France] 250004 Réunion Island [Region: France] 250011 Île-de-France [Region: France] 250021 Champagne-Ardenne [Region: France] 250022 Picardy [Region: France] 250023 Upper Normandy [Region: France] 250024 Centre [Region: France] 250025 Lower Normandy [Region: France] 250026 Burgundy [Region: France] 250031 North Pas-de-Calais [Region: France] 250041 Lorraine [Region: France] 250042 Alsace [Region: France] 250043 Franche-Comté [Region: France] 250052 Loire Valley [Region: France] 250053 Brittany [Region: France] 250054 Poitou-Charentes [Region: France] 250072 Aquitaine [Region: France] 250073 Midi-Pyrénées [Region: France] 250074 Limousin [Region: France] 250082 Rhône-Alpes [Region: France] 250083 Auvergne [Region: France] 250091 Languedoc-Roussillon [Region: France] 250093 Provence-Alpes-Riviera [Region: France] 250094 Corsica [Region: France] 250097 Abroad [Region: France] 320001 Guatemala [Department: Guatemala] 320002 El Progreso [Department: Guatemala] 320003 Sacatepéquez [Department: Guatemala] 320004 Chimaltenango [Department: Guatemala] 320005 Escuintla [Department: Guatemala] 320006 Santa Rosa [Department: Guatemala] 320007 Sololá [Department: Guatemala] 320008 Totonicapán [Department: Guatemala] 320009 Quetzaltenango [Department: Guatemala] 320010 Suchitepéquez [Department: Guatemala] 320011 Retalhuleu [Department: Guatemala] 320012 San Marcos [Department: Guatemala] 320013 Huehuetenango [Department: Guatemala] 320014 Quiché [Department: Guatemala] 320015 Baja Verapaz [Department: Guatemala] 320016 Alta Verapaz [Department: Guatemala] 320017 Petén [Department: Guatemala] 320018 Izabal [Department: Guatemala] 320019 Zacapa [Department: Guatemala] 320020 Chiquimula [Department: Guatemala] 320021 Jalapa [Department: Guatemala] 320022 Jutiapa [Department: Guatemala] 320097 Foreign Country [Department: Guatemala] 320098 Unknown [Department: Guatemala] 320099 NIU [Department: Guatemala] 324011 Boffa [Region: Guinea] 324012 Boké [Region: Guinea] 324013 Fria [Region: Guinea] 324014 Gaoual [Region: Guinea] 324015 Koundara [Region: Guinea] 324021 Conakry [Region: Guinea] 324031 Dabola [Region: Guinea] 324032 Dinguiraye [Region: Guinea] 324033 Faranah [Region: Guinea] 324034 Kissidougou [Region: Guinea] 324041 Kankan [Region: Guinea] 324042 Kérouané [Region: Guinea] 324043 Kouroussa [Region: Guinea] 324044 Mandiana [Region: Guinea] 324045 Siguiri [Region: Guinea] 324051 Coyah, Dubréka [Region: Guinea] 324053 Forécariah [Region: Guinea] 324054 Kindia [Region: Guinea] 324055 Télimélé [Region: Guinea] 324061 Koubia [Region: Guinea] 324062 Labé [Region: Guinea] 324063 Lélouma [Region: Guinea] 324064 Mali [Region: Guinea] 324065 Tougué [Region: Guinea] 324071 Dalaba [Region: Guinea] 324072 Mamou [Region: Guinea] 324073 Pita [Region: Guinea] 324081 Beyla [Region: Guinea] 324082 Guéckédou [Region: Guinea] 324083 Lola [Region: Guinea] 324084 Macenta [Region: Guinea] 324085 Nzerekore [Region: Guinea] 324086 Yomou [Region: Guinea] 324096 Guinea, place unknown [Region: Guinea] 324097 Foreign country [Region: Guinea] 324098 Unknown [Region: Guinea] 324099 NIU (not in universe) [Region: Guinea] 332003 Nord (North) and Nord'est (North East) [Department: Haiti] 332006 Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti] 332007 Grand'Anse, Nippes, Sud (South) [Department: Haiti] 332009 Nord'Ouest (North West) [Department: Haiti] 332097 Foreign Country [Department: Haiti] 332098 Unknown [Department: Haiti] 356001 Jammu and Kashmir [State: India] 356002 Himachal Pradesh [State: India] 356003 Punjab [State: India] 356004 Chandigarh [State: India] 356006 Haryana [State: India] 356007 Delhi [State: India] 356008 Rajasthan [State: India] 356009 Uttar Pradesh, Uttaranchal [State: India] 356010 Bihar, Jharkhand [State: India] 356011 Sikkim [State: India] 356012 Arunachal Pradesh [State: India] 356013 Nagaland [State: India] 356014 Manipur [State: India] 356015 Mizoram [State: India] 356016 Tripura [State: India] 356017 Meghalaya [State: India] 356018 Assam [State: India] 356019 West Bengal [State: India] 356021 Orissa [State: India] 356023 Madhya Pradesh, Chhattisgarh [State: India] 356024 Gujarat [State: India] 356026 Dadra and Nagar Haveli [State: India] 356027 Maharashtra [State: India] 356028 Andhra Pradesh [State: India] 356029 Karnataka [State: India] 356030 Goa, Daman and Diu [State: India] 356031 Lakshadweep [State: India] 356032 Kerala [State: India] 356033 Tamil Nadu [State: India] 356034 Pondicherry [State: India] 356035 Andaman and Nicobar Islands [State: India] 356097 Abroad [State: India] 356098 Unknown [State: India] 356099 NIU (not in universe) [State: India] 360011 Nanggroe Aceh Darussalam [Province: Indonesia] 360012 Sumatera Utara [Province: Indonesia] 360013 Sumatera Barat [Province: Indonesia] 360014 Kepulauan Riau, Riau [Province: Indonesia] 360015 Jambi [Province: Indonesia] 360016 Bangka Belitung, Sumatera Selatan [Province: Indonesia] 360017 Bengkulu [Province: Indonesia] 360018 Lampung [Province: Indonesia] 360031 DKI Jakarta [Province: Indonesia] 360032 Banten, Jawa Barat [Province: Indonesia] 360033 Jawa Tengah [Province: Indonesia] 360034 DKI Yogyakarta [Province: Indonesia] 360035 Jawa Timur [Province: Indonesia] 360051 Bali [Province: Indonesia] 360052 Nusa Tenggara Barat [Province: Indonesia] 360053 Nusa Tenggara Timur [Province: Indonesia] 360061 Kalimantan Barat [Province: Indonesia] 360062 Kalimantan Tengah [Province: Indonesia] 360063 Kalimantan Selatan [Province: Indonesia] 360064 Kalimantan Timur [Province: Indonesia] 360071 Gorontalo, Sulawesi Utara [Province: Indonesia] 360072 Sulawesi Tengah [Province: Indonesia] 360073 Sulawesi Barat, Sulawesi Selatan [Province: Indonesia] 360074 Sulawesi Tenggara [Province: Indonesia] 360081 Maluku, Maluku Utara [Province: Indonesia] 360094 Papua, Papua Barat [Province: Indonesia] 360097 Abroad [Province: Indonesia] 360098 Unknown [Province: Indonesia] 360099 NIU (not in universe) [Province: Indonesia] 360626 East Timor [Province: Indonesia] 364000 Markazi [Province: Iran] 364001 Gilan [Province: Iran] 364002 Mazandaran [Province: Iran] 364003 East Azarbayejan [Province: Iran] 364004 West Azarbayejan [Province: Iran] 364005 Kermanshah [Province: Iran] 364006 Khuzestan [Province: Iran] 364007 Fars [Province: Iran] 364008 Kerman [Province: Iran] 364009 Razavi Khorasan [Province: Iran] 364010 Esfahan [Province: Iran] 364011 Sistan and Baluchestan [Province: Iran] 364012 Kordestan [Province: Iran] 364013 Hamedan [Province: Iran] 364014 Chaharmahal and Bakhtiyari [Province: Iran] 364015 Lorestan [Province: Iran] 364016 Ilam [Province: Iran] 364017 Kohgiluyeh and Boyerahmad [Province: Iran] 364018 Bushehr [Province: Iran] 364019 Zanjan [Province: Iran] 364020 Semnan [Province: Iran] 364021 Yazd [Province: Iran] 364022 Hormozgan [Province: Iran] 364023 Tehran, Alborz [Province: Iran] 364024 Ardebil [Province: Iran] 364025 Qom [Province: Iran] 364026 Qazvin [Province: Iran] 364027 Golestan [Province: Iran] 364028 North Khorasan [Province: Iran] 364029 South Khorasan [Province: Iran] 364098 Unknown [Province: Iran] 364099 NIU (not in universe) [Province: Iran] 368000 Always lived in residential place of birth [Governorate: Iraq] 368001 In this governorate [Governorate: Iraq] 368011 Dahuk [Governorate: Iraq] 368012 Nineveh [Governorate: Iraq] 368013 Sulaymaniyah [Governorate: Iraq] 368014 Al-Tameem [Governorate: Iraq] 368015 Erbil [Governorate: Iraq] 368021 Diala [Governorate: Iraq] 368022 Al-Anbar [Governorate: Iraq] 368023 Baghdad [Governorate: Iraq] 368024 Babylon [Governorate: Iraq] 368025 Kerbela [Governorate: Iraq] 368026 Wasit [Governorate: Iraq] 368027 Salah Al-Deen [Governorate: Iraq] 368028 Al-Najaf [Governorate: Iraq] 368031 Al-Qadisiya [Governorate: Iraq] 368032 Al-Muthanna [Governorate: Iraq] 368033 Thi-Qar [Governorate: Iraq] 368034 Maysan [Governorate: Iraq] 368035 Al-Basrah [Governorate: Iraq] 368097 Other countries [Governorate: Iraq] 368098 Unknown [Governorate: Iraq] 388001 Kingston [Parish: Jamaica] 388002 Saint Andrew [Parish: Jamaica] 388003 Saint Thomas [Parish: Jamaica] 388004 Portland [Parish: Jamaica] 388005 Saint Mary [Parish: Jamaica] 388006 Saint Ann [Parish: Jamaica] 388007 Trelawny [Parish: Jamaica] 388008 Saint James [Parish: Jamaica] 388009 Hanover [Parish: Jamaica] 388010 Westmoreland [Parish: Jamaica] 388011 Saint Elizabeth [Parish: Jamaica] 388012 Manchester [Parish: Jamaica] 388013 Clarendon [Parish: Jamaica] 388014 Saint Catherine [Parish: Jamaica] 388098 Unknown [Parish: Jamaica] 388099 NIU (Not in universe) [Parish: Jamaica] 400011 Amman [Governorate: Jordan] 400012 Balqa [Governorate: Jordan] 400013 Zarqa [Governorate: Jordan] 400014 Madaba [Governorate: Jordan] 400021 Irbid [Governorate: Jordan] 400022 Mafraq [Governorate: Jordan] 400023 Jarash [Governorate: Jordan] 400024 Ajlun [Governorate: Jordan] 400031 Karak [Governorate: Jordan] 400032 Tafilah [Governorate: Jordan] 400033 Ma'an [Governorate: Jordan] 400034 Aqaba [Governorate: Jordan] 400997 Foreign Country [Governorate: Jordan] 400998 Unknown [Governorate: Jordan] 404001 Nairobi [Province: Kenya] 404002 Central [Province: Kenya] 404003 Coast [Province: Kenya] 404004 Eastern [Province: Kenya] 404005 Northeastern [Province: Kenya] 404006 Nyanza [Province: Kenya] 404007 Rift Valley [Province: Kenya] 404008 Western [Province: Kenya] 404097 Abroad [Province: Kenya] 404098 Unknown [Province: Kenya] 404099 NIU (not in universe) [Province: Kenya] 417001 Bishkek [Region: Kyrgyz Republic] 417002 Issyk-Kul region [Region: Kyrgyz Republic] 417003 Dzhalal-Abad region [Region: Kyrgyz Republic] 417004 Naryn region [Region: Kyrgyz Republic] 417005 Batken region [Region: Kyrgyz Republic] 417006 Oshskaya region, City of Osh [Region: Kyrgyz Republic] 417007 Talasskaya region [Region: Kyrgyz Republic] 417008 Chuya region [Region: Kyrgyz Republic] 417096 Other Kyrgyz Republic, not specified [Region: Kyrgyz Republic] 417097 Foreign country [Region: Kyrgyz Republic] 417098 Unknown [Region: Kyrgyz Republic] 417099 NIU (not in universe) [Region: Kyrgyz Republic] 418001 Vientiane Capital [Province: Laos] 418002 Phongsaly [Province: Laos] 418003 Luangnamtha [Province: Laos] 418004 Oudomxay [Province: Laos] 418005 Bokeo [Province: Laos] 418006 Luangprabang [Province: Laos] 418007 Huaphanh [Province: Laos] 418008 Xayaboury [Province: Laos] 418009 Xienkhuang [Province: Laos] 418010 Vientiane Province [Province: Laos] 418011 Borikhamxay [Province: Laos] 418012 Khammuane [Province: Laos] 418013 Savanakhet [Province: Laos] 418014 Saravane [Province: Laos] 418015 Sekong [Province: Laos] 418016 Champasack [Province: Laos] 418017 Attapeu [Province: Laos] 418018 Xaysomboune [Province: Laos] 418097 Foreign Country [Province: Laos] 418098 Unknown [Province: Laos] 418099 NIU [Province: Laos] 662003 Castries city, Castries rural, Castries suburban [District: Saint Lucia] 662009 Choiseul, Laborie, Vieux-Fort [District: Saint Lucia] 662010 Anse-la-Raye, Canaries, Micoud, Soufriere [District: Saint Lucia] 662012 Dennery, Gros-Islet [District: Saint Lucia] 662098 Unknown [District: Saint Lucia] 662099 NIU [District: Saint Lucia] 454101 Chitipa [District: Malawi] 454102 Karonga [District: Malawi] 454103 Nkhata Bay, Likoma [District: Malawi] 454104 Rumphi [District: Malawi] 454105 Mzimba, Mzuzu city [District: Malawi] 454201 Kasungu [District: Malawi] 454202 Nkhotakota [District: Malawi] 454203 Ntchisi [District: Malawi] 454204 Dowa [District: Malawi] 454205 Salima [District: Malawi] 454206 Lilongwe, Lilongwe city [District: Malawi] 454207 Mchinji [District: Malawi] 454208 Dedza [District: Malawi] 454209 Ntcheu [District: Malawi] 454301 Mangochi [District: Malawi] 454302 Machinga [District: Malawi] 454303 Zomba, Zomba city [District: Malawi] 454304 Chiradzulu [District: Malawi] 454305 Blantyre, Blantyre city [District: Malawi] 454307 Thyolo [District: Malawi] 454308 Mulanje [District: Malawi] 454309 Phalombe [District: Malawi] 454310 Chikwawa [District: Malawi] 454311 Nsanje [District: Malawi] 454312 Balaka [District: Malawi] 454313 Mwanza, Neno [District: Malawi] 454997 Abroad [District: Malawi] 454999 NIU (not in universe) [District: Malawi] 466001 Kayes [Region: Mali] 466002 Koulikoro [Region: Mali] 466003 Sikasso [Region: Mali] 466004 Ségou [Region: Mali] 466005 Mopti [Region: Mali] 466006 Tombouctou [Region: Mali] 466007 Gao, Kidal [Region: Mali] 466009 Bamako [Region: Mali] 466096 Mali, province unspecified [Region: Mali] 466097 Foreign country [Region: Mali] 466098 Unknown [Region: Mali] 466999 NIU (not in universe) [Region: Mali] 484001 Aguascalientes [State: Mexico] 484002 Baja California [State: Mexico] 484003 Baja California Sur [State: Mexico] 484004 Campeche [State: Mexico] 484005 Coahuila de Zaragoza [State: Mexico] 484006 Colima [State: Mexico] 484007 Chiapas [State: Mexico] 484008 Chihuahua [State: Mexico] 484009 Distrito Federal [State: Mexico] 484010 Durango [State: Mexico] 484011 Guanajuato [State: Mexico] 484012 Guerrero [State: Mexico] 484013 Hidalgo [State: Mexico] 484014 Jalisco [State: Mexico] 484015 México [State: Mexico] 484016 Michoacán de Ocampo [State: Mexico] 484017 Morelos [State: Mexico] 484018 Nayarit [State: Mexico] 484019 Nuevo León [State: Mexico] 484020 Oaxaca [State: Mexico] 484021 Puebla [State: Mexico] 484022 Querétaro [State: Mexico] 484023 Quintana Roo [State: Mexico] 484024 San Luis Potosí [State: Mexico] 484025 Sinaloa [State: Mexico] 484026 Sonora [State: Mexico] 484027 Tabasco [State: Mexico] 484028 Tamaulipas [State: Mexico] 484029 Tlaxcala [State: Mexico] 484030 Veracruz de Ignacio de la Llave [State: Mexico] 484031 Yucatán [State: Mexico] 484032 Zacatecas [State: Mexico] 484097 Abroad [State: Mexico] 484098 Unknown [State: Mexico] 484099 NIU (not in universe) [State: Mexico] 496001 Arkhangai [Province: Mongolia] 496002 Bayan-Olgii [Province: Mongolia] 496003 Bayankhongor [Province: Mongolia] 496004 Bulgan [Province: Mongolia] 496005 Govi-Altai [Province: Mongolia] 496006 Dornogovi, Govisumber [Province: Mongolia] 496007 Dornod [Province: Mongolia] 496008 Dundgovi [Province: Mongolia] 496009 Zavkhan [Province: Mongolia] 496010 Ovorkhangai [Province: Mongolia] 496011 Omnogovi [Province: Mongolia] 496012 Sukhbaatar [Province: Mongolia] 496013 Selenge [Province: Mongolia] 496014 Tov [Province: Mongolia] 496015 Uvs [Province: Mongolia] 496016 Khovd [Province: Mongolia] 496017 Khovsgol [Province: Mongolia] 496018 Khentii [Province: Mongolia] 496019 Darkhan-Uul [Province: Mongolia] 496020 Ulaanbaatar [Province: Mongolia] 496021 Orkhon [Province: Mongolia] 496097 Abroad [Province: Mongolia] 496099 NIU (not in universe) [Province: Mongolia] 104001 Kachin [State: Myanmar] 104002 Kayah [State: Myanmar] 104003 Kayin [State: Myanmar] 104004 Chin [State: Myanmar] 104005 Sagaing [State: Myanmar] 104006 Tanintharyi [State: Myanmar] 104007 Bago [State: Myanmar] 104008 Magway [State: Myanmar] 104009 Mandalay [State: Myanmar] 104010 Mon [State: Myanmar] 104011 Rakhine [State: Myanmar] 104012 Yangon [State: Myanmar] 104013 Shan [State: Myanmar] 104014 Ayeyawady [State: Myanmar] 104015 Nay Pyi Taw [State: Myanmar] 104097 Abroad [State: Myanmar] 104099 NIU [State: Myanmar] 591002 Coclé [Province: Panama] 591003 Colón, Comarca Kuna Yala (San Blas) [Province: Panama] 591004 Bocas de Toro, Chiriquí, Comarca Ngäbe Buglé, Veraguas [Province: Panama] 591005 Comarca Emberá, Darién [Province: Panama] 591006 Herrera [Province: Panama] 591007 Los Santos [Province: Panama] 591008 Panamá [Province: Panama] 591009 Unknown district in Panamá province [Province: Panama] 591097 Foreign country [Province: Panama] 591098 Unknown [Province: Panama] 591099 NIU (not in universe) [Province: Panama] 608001 Abra [Province: Philippines] 608002 Agusan del norte [Province: Philippines] 608003 Agusan del sur [Province: Philippines] 608004 Aklan [Province: Philippines] 608005 Albay [Province: Philippines] 608006 Antique [Province: Philippines] 608007 Basilan, City Of Isabela [Province: Philippines] 608008 Bataan [Province: Philippines] 608010 Batangas [Province: Philippines] 608011 Benguet [Province: Philippines] 608012 Bohol [Province: Philippines] 608013 Bukidnon [Province: Philippines] 608014 Bulacan [Province: Philippines] 608015 Cagayan, Batanes [Province: Philippines] 608016 Camarines norte [Province: Philippines] 608017 Camarines Sur [Province: Philippines] 608018 Camiguin [Province: Philippines] 608019 Capiz [Province: Philippines] 608020 Catanduanes [Province: Philippines] 608021 Cavite [Province: Philippines] 608022 Cebu [Province: Philippines] 608023 Davao (Davao del Norte) [Province: Philippines] 608024 Davao del Sur, Davao Occidental [Province: Philippines] 608025 Davao Oriental [Province: Philippines] 608026 Eastern Samar [Province: Philippines] 608027 Ifugao [Province: Philippines] 608028 Ilocos Norte [Province: Philippines] 608029 Ilocos Sur [Province: Philippines] 608030 Iloilo, Guimaras [Province: Philippines] 608031 Isabela [Province: Philippines] 608032 Kalinga-Apayao, Apayo, Kalinga [Province: Philippines] 608033 La Union [Province: Philippines] 608034 Laguna [Province: Philippines] 608035 Lanao del Norte [Province: Philippines] 608036 Lanao del Sur, Maguindanao, Marawi City and Cotabato city [Province: Philippines] 608037 Leyte, Biliran [Province: Philippines] 608039 Manila [Province: Philippines] 608040 Marinduque [Province: Philippines] 608041 Masbate [Province: Philippines] 608042 Misamis Occidental [Province: Philippines] 608043 Misamis Oriental [Province: Philippines] 608044 Mountain Province [Province: Philippines] 608045 Negros Occidental [Province: Philippines] 608046 Negros Oriental [Province: Philippines] 608047 Cotabato (North Cotabato) [Province: Philippines] 608048 Northern Samar [Province: Philippines] 608049 Nueva Ecija [Province: Philippines] 608050 Nueva Vizcaya [Province: Philippines] 608051 Occidental Mindoro [Province: Philippines] 608052 Oriental Mindoro [Province: Philippines] 608053 Palawan [Province: Philippines] 608054 Pampanga [Province: Philippines] 608055 Pangasinan [Province: Philippines] 608056 Quezon [Province: Philippines] 608057 Quirino [Province: Philippines] 608058 Rizal [Province: Philippines] 608059 Romblon [Province: Philippines] 608060 Samar (Western Samar) [Province: Philippines] 608061 Siquijor [Province: Philippines] 608062 Sorsogon [Province: Philippines] 608063 South Cotabato, Sarangani [Province: Philippines] 608064 Southern Leyte [Province: Philippines] 608065 Sultan Kudarat [Province: Philippines] 608066 Sulu [Province: Philippines] 608067 Surigao Del Norte, Dinagat islands [Province: Philippines] 608068 Surigao del Sur [Province: Philippines] 608069 Tarlac [Province: Philippines] 608070 Tawi-Tawi [Province: Philippines] 608071 Zambales [Province: Philippines] 608072 Zamboanga Norte [Province: Philippines] 608073 Zamboanga del Sur, Zamboanga Sibugay [Province: Philippines] 608074 Manila Metro, 2nd District [Province: Philippines] 608075 Manila Metro, 3rd District [Province: Philippines] 608076 Manila Metro, 4th District [Province: Philippines] 608077 Aurora [Province: Philippines] 608097 Foreign country [Province: Philippines] 608098 Unknown [Province: Philippines] 608099 NIU (not in universe) [Province: Philippines] 642001 Alba [County: Romania] 642002 Arad [County: Romania] 642003 Arges [County: Romania] 642004 Bacau [County: Romania] 642005 Bihor [County: Romania] 642006 Bistrita Nasaud [County: Romania] 642007 Botosani [County: Romania] 642008 Brasov [County: Romania] 642009 Braila [County: Romania] 642010 Buzau [County: Romania] 642011 Caras Severin [County: Romania] 642012 Cluj [County: Romania] 642013 Constanta [County: Romania] 642014 Covasna [County: Romania] 642015 Dambovita [County: Romania] 642016 Dolj [County: Romania] 642017 Galati [County: Romania] 642018 Gorj [County: Romania] 642019 Harghita [County: Romania] 642020 Hunedoara [County: Romania] 642022 Iasi [County: Romania] 642024 Maramures [County: Romania] 642025 Mehedinti [County: Romania] 642026 Mures [County: Romania] 642027 Neamt [County: Romania] 642028 Olt [County: Romania] 642029 Prahova [County: Romania] 642030 Satu Mare [County: Romania] 642031 Salaj [County: Romania] 642032 Sibiu [County: Romania] 642033 Suceava [County: Romania] 642034 Teleorman [County: Romania] 642035 Timis [County: Romania] 642036 Tulcea [County: Romania] 642037 Vaslui [County: Romania] 642038 Valcea [County: Romania] 642039 Vrancea [County: Romania] 642043 Bucharest Sector 1 to 6 [County: Romania] 642051 Calarasi, Giurgiu, Ialomita, Ilfov [County: Romania] 642097 Foreign country [County: Romania] 642098 Unknown [County: Romania] 642099 NIU (not in universe) [County: Romania] 646002 Byumba, Kigali Ngali, Kigali Ville, Kibungo, Umutara [Province: Rwanda] 646003 Gitarama [Province: Rwanda] 646004 Butare [Province: Rwanda] 646005 Gikongoro [Province: Rwanda] 646006 Cyangugu [Province: Rwanda] 646007 Kibuye [Province: Rwanda] 646008 Gisenyi [Province: Rwanda] 646009 Ruhengeri [Province: Rwanda] 646097 Foreign Countries [Province: Rwanda] 646098 Unknown [Province: Rwanda] 646099 NIU [Province: Rwanda] 705001 Pomurska [Region: Slovenia] 705002 Podravska [Region: Slovenia] 705003 Koroška [Region: Slovenia] 705004 Savinjska [Region: Slovenia] 705005 Zasavska [Region: Slovenia] 705006 Spodnjeposavska [Region: Slovenia] 705007 Jugovzhodna Slovenija [Region: Slovenia] 705008 Osrednjeslovenska [Region: Slovenia] 705009 Gorenjska [Region: Slovenia] 705010 Notranjsko-kraška [Region: Slovenia] 705011 Goriška [Region: Slovenia] 705012 Obalno-kraška [Region: Slovenia] 705097 Abroad [Region: Slovenia] 705999 NIU (not in universe) [Region: Slovenia] 710001 Western Cape [Province: South Africa] 710004 Free State [Province: South Africa] 710005 Eastern Cape, KwaZulu-Natal [Province: South Africa] 710007 Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa] 710097 Foreign country [Province: South Africa] 710098 Unknown [Province: South Africa] 710099 NIU (not in universe) [Province: South Africa] 724011 Galicia [Communities & autonomous city: Spain] 724012 Principado de Asturias [Communities & autonomous city: Spain] 724013 Cantabria [Communities & autonomous city: Spain] 724021 País Vasco [Communities & autonomous city: Spain] 724022 Comunidad Foral de Navarra [Communities & autonomous city: Spain] 724023 La Rioja [Communities & autonomous city: Spain] 724024 Aragón [Communities & autonomous city: Spain] 724030 Comunidad de Madrid [Communities & autonomous city: Spain] 724041 Castilla y León [Communities & autonomous city: Spain] 724042 Castilla-La Mancha [Communities & autonomous city: Spain] 724043 Extremadura [Communities & autonomous city: Spain] 724051 Cataluña [Communities & autonomous city: Spain] 724052 Comunidad Valenciana [Communities & autonomous city: Spain] 724053 Islas Baleares [Communities & autonomous city: Spain] 724061 Andalucía [Communities & autonomous city: Spain] 724062 Región de Murcia [Communities & autonomous city: Spain] 724063 Ciudad Autónoma de Ceuta [Communities & autonomous city: Spain] 724064 Ciudad Autónoma de Melilla [Communities & autonomous city: Spain] 724070 Canarias [Communities & autonomous city: Spain] 724097 Abroad [Communities & autonomous city: Spain] 724999 NIU (not in universe) [Communities & autonomous city: Spain] 740001 Paramaribo [District: Suriname] 740002 Wanica [District: Suriname] 740003 Nickerie [District: Suriname] 740005 Saramacca, Coronie [District: Suriname] 740006 Marowijne, Commewijne [District: Suriname] 740008 Brokopondo, Para [District: Suriname] 740010 Sipaliwini [District: Suriname] 740096 Suriname, district unknown [District: Suriname] 740097 Foreign [District: Suriname] 740098 Unknown [District: Suriname] 764010 Bangkok [Province: Thailand] 764011 Samut Prakan [Province: Thailand] 764012 Nonthaburi [Province: Thailand] 764013 Pathum Thani [Province: Thailand] 764014 Phra Nakhon Si Ayutthaya [Province: Thailand] 764015 Ang Thong [Province: Thailand] 764016 Lop Buri [Province: Thailand] 764017 Sing Buri [Province: Thailand] 764018 Chai Nat [Province: Thailand] 764019 Sa Kaeo, Prachin Buri [Province: Thailand] 764020 Chon Buri [Province: Thailand] 764021 Rayong [Province: Thailand] 764022 Chanthaburi [Province: Thailand] 764023 Trat [Province: Thailand] 764024 Chachoengsao [Province: Thailand] 764026 Nakhon Nayok [Province: Thailand] 764027 Saraburi [Province: Thailand] 764030 Nakhon Ratchasima [Province: Thailand] 764031 Buri Ram [Province: Thailand] 764032 Surin [Province: Thailand] 764033 Si Sa Ket [Province: Thailand] 764034 Ubon Ratchathani, Yasothon, Amnat Charoen [Province: Thailand] 764036 Chaiyaphum [Province: Thailand] 764039 Nong Bua Lam Phu, Udon Thani [Province: Thailand] 764040 Khon Kaen [Province: Thailand] 764042 Loei [Province: Thailand] 764043 Nong Khai [Province: Thailand] 764044 Maha Sarakham [Province: Thailand] 764045 Roi Et [Province: Thailand] 764046 Kalasin [Province: Thailand] 764047 Sakon Nakhon [Province: Thailand] 764048 Nakhon Phanom, Mukdahan [Province: Thailand] 764050 Chiang Mai [Province: Thailand] 764051 Lamphun [Province: Thailand] 764052 Lampang [Province: Thailand] 764053 Uttaradit [Province: Thailand] 764054 Phrae [Province: Thailand] 764055 Nan [Province: Thailand] 764057 Phayao, Chiang Rai [Province: Thailand] 764058 Mae Hong Son [Province: Thailand] 764060 Nakhon Sawan [Province: Thailand] 764061 Uthai Thani [Province: Thailand] 764062 Kamphaeng Phet [Province: Thailand] 764063 Tak [Province: Thailand] 764064 Sukhothai [Province: Thailand] 764065 Phitsanulok [Province: Thailand] 764066 Phichit [Province: Thailand] 764067 Phetchabun [Province: Thailand] 764070 Ratchaburi [Province: Thailand] 764071 Kanchanaburi [Province: Thailand] 764072 Suphanburi [Province: Thailand] 764073 Nakhon Pathom [Province: Thailand] 764074 Samut Sakhon [Province: Thailand] 764075 Samut Songkhram [Province: Thailand] 764076 Phetchaburi [Province: Thailand] 764077 Prachuap Khiri Khan [Province: Thailand] 764080 Nakhon Si Thammarat [Province: Thailand] 764082 Phangnga [Province: Thailand] 764083 Phuket [Province: Thailand] 764084 Krabi, Surat Thani [Province: Thailand] 764086 Ranong, Chumphon [Province: Thailand] 764090 Songkhla [Province: Thailand] 764091 Satun [Province: Thailand] 764092 Trang [Province: Thailand] 764093 Phatthalung [Province: Thailand] 764094 Pattani [Province: Thailand] 764095 Yala [Province: Thailand] 764096 Narathiwat [Province: Thailand] 764097 Same province [Province: Thailand] 764098 Unknown province, but within Thaliand [Province: Thailand] 764997 Abroad [Province: Thailand] 764998 Unknown [Province: Thailand] 764999 NIU (not in universe) [Province: Thailand] 768001 Maritime, Lomé [Region: Togo] 768002 Plateaux, Centrale, Kara [Region: Togo] 768003 Savanes [Region: Togo] 768097 Foreign Country [Region: Togo] 768098 Unknown [Region: Togo] 768099 NIU [Region: Togo] 780010 Port of Spain [Region: Trinidad and Tobago] 780020 San Fernando [Region: Trinidad and Tobago] 780080 Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin, Caroni, St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago] 780094 St. Paul, St. Mary, St. David, St. George, St. Patrick, St. Andrew, St. John, Tobago [Region: Trinidad and Tobago] 780098 Unknown [Region: Trinidad and Tobago] 800101 Kalangala [District: Uganda] 800102 Kampala [District: Uganda] 800103 Kiboga, Kyankwanzi [District: Uganda] 800104 Luwero, Nakasongola, Nakaseke [District: Uganda] 800105 Masaka, Ssembabule, Bukomansimbi, Kalungu, Lwengo [District: Uganda] 800106 Mpigi, Wakiso, Butambala, Gomba [District: Uganda] 800107 Mubende, Mityana [District: Uganda] 800108 Mukono, Kayunga, Buikwe, Buvuma [District: Uganda] 800110 Rakai, Lyantonde [District: Uganda] 800201 Bugiri, Iganga, Mayuge, Namutumba, Luuka, Namayingo [District: Uganda] 800202 Busia, Tororo, Butaleja [District: Uganda] 800204 Jinja [District: Uganda] 800205 Kamuli, Kaliro, Buyende [District: Uganda] 800206 Kapchorwa, Bukwo, Kween [District: Uganda] 800207 Katakwi, Soroti, Kaberamaido, Amuria, Serere [District: Uganda] 800208 Kumi, Bukedea, Ngora [District: Uganda] 800209 Mbale, Sironko, Bududa, Manafwa, Bulambuli [District: Uganda] 800210 Pallisa, Budaka, Kibuku [District: Uganda] 800301 Adjumani, Moyo [District: Uganda] 800302 Apac, Oyam, Kole [District: Uganda] 800303 Arua, Yumbe, Koboko, Maracha [District: Uganda] 800304 Gulu, Amuru, Nwoya, Omoro [District: Uganda] 800305 Kitgum, Pader, Agago, Lamwo [District: Uganda] 800306 Kotido, Moroto, Nakapiripirit, Abim, Kaabong, Amudat, Napak [District: Uganda] 800307 Lira, Amolatar, Dokolo, Alebtong, Otuke [District: Uganda] 800310 Nebbi, Zombo [District: Uganda] 800401 Bundibugyo, Ntoroko [District: Uganda] 800402 Bushenyi, Mbarara, Ntungamo, Ibanda, Isingiro, Kiruhura, Buhweju, Mitooma, Rubirizi, Sheema [District: Uganda] 800403 Hoima [District: Uganda] 800404 Kabale, Rubanda [District: Uganda] 800405 Kabarole, Kamwenge, Kyenjojo, Kyegegwa [District: Uganda] 800406 Kasese [District: Uganda] 800407 Kibaale, Kagadi, Kakumiro [District: Uganda] 800408 Kisoro [District: Uganda] 800409 Masindi, Buliisa, Kiryandongo [District: Uganda] 800412 Rukungiri, Kanungu [District: Uganda] 800096 Visitor [District: Uganda] 800097 Foreign country [District: Uganda] 800098 Unknown [District: Uganda] 804001 The Autonomous Republic of Crimea [Region: Ukraine] 804005 Vinnytska oblast [Region: Ukraine] 804007 Volynska oblast [Region: Ukraine] 804012 Dnipropetrovska oblast [Region: Ukraine] 804014 Donetska oblast [Region: Ukraine] 804018 Zhytomyrska oblast [Region: Ukraine] 804021 Zakarpatska oblast [Region: Ukraine] 804023 Zaporizka oblast [Region: Ukraine] 804026 Ivano-Frankivska oblast [Region: Ukraine] 804032 Kyivska oblast [Region: Ukraine] 804035 Kirovohradska oblast [Region: Ukraine] 804044 Luhanska oblast [Region: Ukraine] 804046 Lvivska oblast [Region: Ukraine] 804048 Mykolaivska oblast [Region: Ukraine] 804051 Odeska oblast [Region: Ukraine] 804053 Poltavska oblast [Region: Ukraine] 804056 Rivnenska oblast [Region: Ukraine] 804059 Sumska oblast [Region: Ukraine] 804061 Ternopilska oblast [Region: Ukraine] 804063 Kharkivska oblast [Region: Ukraine] 804065 Khersonska oblast [Region: Ukraine] 804068 Khmelnytska oblast [Region: Ukraine] 804071 Cherkaska oblast [Region: Ukraine] 804073 Chernivetska oblast [Region: Ukraine] 804074 Chernihivska oblast [Region: Ukraine] 804080 Kyiv (independent city) [Region: Ukraine] 804085 Sevastopol (independent city) [Region: Ukraine] 804097 Foreign country [Region: Ukraine] 804098 Unknown [Region: Ukraine] 804099 NIU (not in universe) [Region: Ukraine] 858001 Montevideo [Department: Uruguay] 858002 Artigas [Department: Uruguay] 858003 Canelones [Department: Uruguay] 858004 Cerro Largo [Department: Uruguay] 858005 Colonia [Department: Uruguay] 858006 Durazno [Department: Uruguay] 858007 Flores [Department: Uruguay] 858008 Florida [Department: Uruguay] 858009 Lavalleja [Department: Uruguay] 858010 Maldonado [Department: Uruguay] 858011 Paysandú [Department: Uruguay] 858012 Río Negro [Department: Uruguay] 858013 Rivera [Department: Uruguay] 858014 Rocha [Department: Uruguay] 858015 Salto [Department: Uruguay] 858016 San Jose [Department: Uruguay] 858017 Soriano [Department: Uruguay] 858018 Tacuarembó [Department: Uruguay] 858019 Treinta Y Tres [Department: Uruguay] 858097 Abroad [Department: Uruguay] 858098 Unknown [Department: Uruguay] 858999 NIU (not in universe) [Department: Uruguay] 862001 Federal District, Vargas [State: Venezuela] 862002 Amazonas Federal Territory [State: Venezuela] 862003 Anzoátegui [State: Venezuela] 862004 Apure [State: Venezuela] 862005 Aragua [State: Venezuela] 862007 Bolívar [State: Venezuela] 862008 Carabobo [State: Venezuela] 862009 Cojedes [State: Venezuela] 862010 Amacuros Delta Federal Territory [State: Venezuela] 862011 Falcón [State: Venezuela] 862012 Guárico [State: Venezuela] 862013 Lara [State: Venezuela] 862014 Barinas, Mérida [State: Venezuela] 862015 Miranda [State: Venezuela] 862016 Monagas [State: Venezuela] 862017 Nueva Esparta, Federal Dependencies [State: Venezuela] 862018 Portuguesa [State: Venezuela] 862019 Sucre [State: Venezuela] 862020 Táchira [State: Venezuela] 862021 Trujillo [State: Venezuela] 862022 Yaracuy [State: Venezuela] 862023 Zulia [State: Venezuela] 862097 Foreign country [State: Venezuela] 862098 Unknown [State: Venezuela] 862099 NIU (not in universe) [State: Venezuela] GEOMIG1_P indicates the major administrative unit in which the person previously resided prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of previous residence, to enable comparative analysis of subnational migration. Foreign migrants are coded 097 or 997. Codes for GEOMIG1_1 match the geographic codes in GEOLEV1 (current place of residence). For similar information for different time intervals since migration, see variables GEOMIG1_1, GEOMIG1_5, and GEOMIG1_10. More on migration and geography can be found here. IPUMS Years residing in current locality 00 Less than 1 year 01 1 year (or 1 year or less) 02 2 years 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95+ years 96 Less than 5 years 97 More than 5 years 98 Unknown 99 NIU (not in universe) MIGYRS1 indicates how many years the person has resided in their current locality of residence. IPUMS Province of previous residence, Indonesia; consistent boundaries, GIS 360011 Nanggroe Aceh Darussalam 360012 Sumatera Utara 360013 Sumatera Barat 360014 Kepulauan Riau, Riau 360015 Jambi 360016 Bangka Belitung, Sumatera Selatan 360017 Bengkulu 360018 Lampung 360031 DKI Jakarta 360032 Banten, Jawa Barat 360033 Jawa Tengah 360034 DKI Yogyakarta 360035 Jawa Timur 360051 Bali 360052 Nusa Tenggara Barat 360053 Nusa Tenggara Timur 360061 Kalimantan Barat 360062 Kalimantan Tengah 360063 Kalimantan Selatan 360064 Kalimantan Timur 360071 Gorontalo, Sulawesi Utara 360072 Sulawesi Tengah 360073 Sulawesi Barat, Sulawesi Selatan 360074 Sulawesi Tenggara 360081 Maluku, Maluku Utara 360094 Papua, Papua Barat 360626 East Timor 360097 Abroad 360098 Unknown 360099 NIU (not in universe) MIG1_P_ID indicates the person's province of previous residence within Indonesia. The migration could have occurred at any time in the past. Click on the Source Variables tab for information on place of residence for each sample year. Source variables may contain more geographic unit detail but are not suitable for cross-temporal comparison. IPUMS Person number (within household) Indonesia 1971: All records 00 Household record 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 This variable indicates the person number within the household. IPUMS Sex <svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415 ID71A416 ID71A417 ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h2">Individual form</span><br />[Section I is the same as Section I: Household and Living Unit Information above]<br /></svar></p> <p><svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415"><span class="h3">II. For all ages</span><br /></svar></p> <p><svar a="all" v="ID71A401">1. Sex<br /><div class="i1">[] Male<br />[] Female</div><br /></svar> Indonesia 1971: All persons 1 Male 2 Female 9 Unknown This variable indicates the person's sex. IPUMS Age <svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415 ID71A416 ID71A417 ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h2">Individual form</span><br />[Section I is the same as Section I: Household and Living Unit Information above]<br /></svar></p> <p><svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415"><span class="h3">II. For all ages</span><br /></svar></p> <p><svar a="all" v="ID71A402">2. Age<br /><div class="i1">_ _<br />[] 100 100 or older</div><br /></svar> Indonesia 1971: All persons 000 001 1 002 2 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100+ 999 Unknown This variable indicates the person's age. IPUMS Relationship to head of household <svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415 ID71A416 ID71A417 ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h2">Individual form</span><br />[Section I is the same as Section I: Household and Living Unit Information above]<br /></svar></p> <p><svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415"><span class="h3">II. For all ages</span><br /></svar></p> <p><svar a="all" v="ID71A403">3. Relationship to head of household<br /><div class="i1">[] Head<br />[] Spouse<br />[] Son/daughter<br />[] Son/daughter-in-law<br />[] Grandson/granddaughter<br />[] Father/mother<br />[] Father/mother-in-law<br />[] Other family<br />[] Servant<br />[] Other</div><br /></svar> Indonesia 1971: All persons 01 Head of household 02 Spouse 03 Child 04 Child in-law 05 Grandchild 06 Parent 07 Parent in-law 08 Other relative 09 Servant 10 Other, non-relative 99 Unknown This variable indicates the person's relationship to the head of household. IPUMS Marital status <svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415 ID71A416 ID71A417 ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h2">Individual form</span><br />[Section I is the same as Section I: Household and Living Unit Information above]<br /></svar></p> <p><svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415"><span class="h3">II. For all ages</span><br /></svar></p> <p><svar a="all" v="ID71A404">4. Marital status<br /><div class="i1">[] Single<br />[] Married<br />[] Divorced<br />[] Widow/widower</div><br /></svar> Indonesia 1971: All persons 1 Single 2 Married 3 Divorced 4 Widowed 9 Unknown This variable indicates the person's marital status. IPUMS Citizenship <svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415 ID71A416 ID71A417 ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h2">Individual form</span><br />[Section I is the same as Section I: Household and Living Unit Information above]<br /></svar></p> <p><svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415"><span class="h3">II. For all ages</span><br /></svar></p> <p><svar a="all" v="ID71A405">5. Citizenship<br /><div class="i1">[] Indonesia<br />[] China<br />[] Arabian country<br />[] India<br />[] Pakistan<br />[] Other</div><br /></svar> Indonesia 1971: All persons 1 Indonesia 2 China 3 Arabian country 4 India 5 Pakistan 6 Other 9 Unknown This variable indicates the person's country of citizenship. IPUMS Religion <svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415 ID71A416 ID71A417 ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h2">Individual form</span><br />[Section I is the same as Section I: Household and Living Unit Information above]<br /></svar></p> <p><svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415"><span class="h3">II. For all ages</span><br /></svar></p> <p><svar a="all" v="ID71A406">6. Religion<br /><div class="i1">[] Islam<br />[] Catholic<br />[] Protestant<br />[] Other Christian<br />[] Hindu<br />[] Buddhist<br />[] Kong Fhu Tse [Confucianism]<br />[] Other</div><br /></svar> Indonesia 1971: All persons 1 Islam 2 Catholic 3 Protestant 4 Other Christian 5 Hindu 6 Buddhist 7 Confucian 8 Other 9 Unknown This variable indicates the person's religion. IPUMS Language <svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415 ID71A416 ID71A417 ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h2">Individual form</span><br />[Section I is the same as Section I: Household and Living Unit Information above]<br /></svar></p> <p><svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415"><span class="h3">II. For all ages</span><br /></svar></p> <p><svar a="all" v="ID71A407">7. Language<br /><div class="i1">[] Indonesian<br />[] Regional/local<br />[] Other</div><br /></svar> Indonesia 1971: All persons 1 Indonesian 2 Regional/local 3 Foreign 9 Unknown This variable indicates the primary language that the person speaks. IPUMS Literacy <svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415 ID71A416 ID71A417 ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h2">Individual form</span><br />[Section I is the same as Section I: Household and Living Unit Information above]<br /></svar></p> <p><svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415"><span class="h3">II. For all ages</span><br /></svar></p> <p><svar a="all" v="ID71A408">8. Ability to read and write<br /><div class="i1">[] Latin characters<br />[] Arabic<br />[] Chinese<br />[] Other<br />[] Illiterate</div><br /></svar> Indonesia 1971: All persons 1 Latin characters 2 Arabic 3 Chinese 4 Other 5 Illiterate 9 Unknown This variable indicates the person's alphabet of literacy. IPUMS Highest education level completed <svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415 ID71A416 ID71A417 ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h2">Individual form</span><br />[Section I is the same as Section I: Household and Living Unit Information above]<br /></svar></p> <p><svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415"><span class="h3">II. For all ages</span><br /></svar></p> <p><svar a="all" v="ID71A409">9. Highest grade completed<br /><div class="i1">General (skip to question 11)</div><br /><div class="i2">[] None<br />[] Not completed [elementary school]<br />[] Elementary school<br />[] Junior high school<br />[] High school</div><br /><div class="i1">Vocational</div><br /><div class="i2">[] Junior high school<br />[] High school</div><br /><div class="i1">[] Academy<br />[] University</div><br /></svar> Indonesia 1971: All persons None (no schooling) 1 Did not finish elementary 2 Elementary school 3 Junior high school 4 Senior high school 5 Vocational junior high 6 Vocational senior high 7 Academy 8 University 9 Unknown This variable indicates the highest education level that the person has ever completed. IPUMS Field of study <svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415 ID71A416 ID71A417 ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h2">Individual form</span><br />[Section I is the same as Section I: Household and Living Unit Information above]<br /></svar></p> <p><svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415"><span class="h3">II. For all ages</span><br /></svar></p> <p><svar a="ID71A410" v="ID71A410">10. Field of education<br /><div class="i1">[Question 10 was asked of persons who have completed vocational, academy or university study, per question 9]<br /><br />[] Agriculture<br />[] Technical<br />[] Communications<br />[] Health<br />[] Teaching<br />[] Other</div><br /></svar> Indonesia 1971: Persons who have completed vocational or higher education [discrepancies: type I trace; type II 1.2%] 1 Agriculture 2 Technical 3 Communications 4 Health 5 Teaching 6 Other 8 Unknown 9 NIU (not in universe) This variable indicates the person's educational field of study. IPUMS Current school attendance <svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415 ID71A416 ID71A417 ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h2">Individual form</span><br />[Section I is the same as Section I: Household and Living Unit Information above]<br /></svar></p> <p><svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415"><span class="h3">II. For all ages</span><br /></svar></p> <p><svar a="all" v="ID71A411">11. Are you still attending school?<br /><div class="i1">[] Yes<br />[] No</div><br /></svar> Indonesia 1971: All persons 1 Yes 2 No 9 Unknown This variable indicates whether the person is currently attending school. IPUMS Province of birth <svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415 ID71A416 ID71A417 ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h2">Individual form</span><br />[Section I is the same as Section I: Household and Living Unit Information above]<br /></svar></p> <p><svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415"><span class="h3">II. For all ages</span><br /></svar></p> <p><svar a="all" v="ID71A412">12. Place of birth<br /><div class="i1">[] 1 Aceh<br />[] 2 North Sumatra<br />[] 3 West Sumatra<br />[] 4 Riau<br />[] 5 Jambi<br />[] 6 South Sumatra<br />[] 7 Bengkulu<br />[] 8 Lampung<br />[] 9 Jakarta (DKI Jaya)<br />[] 10 West Java<br />[] 11 Central Java<br />[] 12 Yogyakarta (DI Yogyakarta)<br />[] 13 East Java<br />[] 14 Bali<br />[] 15 West Nusa Tenggara<br />[] 16 East Nusa Tenggara<br />[] 17 West Kalimantan<br />[] 18 Central Kalimantan<br />[] 19 South Kalimantan<br />[] 20 East Kalimantan<br />[] 21 North Sulawesi<br />[] 22 Central Sulawesi<br />[] 23 South Sulawesi<br />[] 24 Southeast Sulawesi<br />[] 25 Maluku<br />[] 26 Irian Jaya<br />[] 29 Abroad</div><br /></svar> Indonesia 1971: All persons 01 Aceh 02 North Sumatra 03 West Sumatra 04 Riau 05 Jambi 06 South Sumatra 07 Bengkulu 08 Lampung 09 Jakarta (DKI Jaya) 10 West Java 11 Central Java 12 Yogyakarta (DI Yogyakarta) 13 East Java 14 Bali 15 West Nusa Tenggara 16 East Nusa Tenggara 17 West Kalimantan 18 Central Kalimantan 19 South Kalimantan 20 East Kalimantan 21 North Sulawesi 22 Central Sulawesi 23 South Sulawesi 24 Southeast Sulawesi 25 Maluku 26 Irian Jaya 29 Abroad 99 Unknown This variable indicates the province where the person was born. IPUMS Ever lived in other province <svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415 ID71A416 ID71A417 ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h2">Individual form</span><br />[Section I is the same as Section I: Household and Living Unit Information above]<br /></svar></p> <p><svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415"><span class="h3">II. For all ages</span><br /></svar></p> <p><svar a="all" v="ID71A413">13 Did you ever live in another province?<br /><div class="i1">[] Yes<br />[] No (Do not answer questions 14 and 15)</div><br /></svar></p> <p><svar v="ID71A414 ID71A415">[Questions 14-15 were asked of persons who have ever lived in another province, as per question 13]<br /></svar></p> <p><svar a="ID71A414" v="ID71A413 ID71A414">14. Province of previous residence<br /><div class="i1">[] 1 Aceh<br />[] 2 North Sumatra<br />[] 3 West Sumatra<br />[] 4 Riau<br />[] 5 Jambi<br />[] 6 South Sumatra<br />[] 7 Bengkulu<br />[] 8 Lampung<br />[] 9 Jakarta (DKI Jaya)<br />[] 10 West Java<br />[] 11 Central Java<br />[] 12 Yogyakarta (DI Yogyakarta)<br />[] 13 East Java<br />[] 14 Bali<br />[] 15 West Nusa Tenggara<br />[] 16 East Nusa Tenggara<br />[] 17 West Kalimantan<br />[] 18 Central Kalimantan<br />[] 19 South Kalimantan<br />[] 20 East Kalimantan<br />[] 21 North Sulawesi<br />[] 22 Central Sulawesi<br />[] 23 South Sulawesi<br />[] 24 Southeast Sulawesi<br />[] 25 Maluku<br />[] 26 Irian Jaya<br />[] 29 Abroad</div><br /></svar></p> <p><svar a="ID71A415" v="ID71A413 ID71A415">15. Total years lived in present province<br /><div class="i1">_ _</div><br /></svar> Indonesia 1971: All persons 1 Yes 2 No This variable indicates whether the person has ever lived in another province. IPUMS Province of previous residence <svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415 ID71A416 ID71A417 ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h2">Individual form</span><br />[Section I is the same as Section I: Household and Living Unit Information above]<br /></svar></p> <p><svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415"><span class="h3">II. For all ages</span><br /></svar></p> <p><svar a="all" v="ID71A413">13 Did you ever live in another province?<br /><div class="i1">[] Yes<br />[] No (Do not answer questions 14 and 15)</div><br /></svar></p> <p><svar v="ID71A414 ID71A415">[Questions 14-15 were asked of persons who have ever lived in another province, as per question 13]<br /></svar></p> <p><svar a="ID71A414" v="ID71A413 ID71A414">14. Province of previous residence<br /><div class="i1">[] 1 Aceh<br />[] 2 North Sumatra<br />[] 3 West Sumatra<br />[] 4 Riau<br />[] 5 Jambi<br />[] 6 South Sumatra<br />[] 7 Bengkulu<br />[] 8 Lampung<br />[] 9 Jakarta (DKI Jaya)<br />[] 10 West Java<br />[] 11 Central Java<br />[] 12 Yogyakarta (DI Yogyakarta)<br />[] 13 East Java<br />[] 14 Bali<br />[] 15 West Nusa Tenggara<br />[] 16 East Nusa Tenggara<br />[] 17 West Kalimantan<br />[] 18 Central Kalimantan<br />[] 19 South Kalimantan<br />[] 20 East Kalimantan<br />[] 21 North Sulawesi<br />[] 22 Central Sulawesi<br />[] 23 South Sulawesi<br />[] 24 Southeast Sulawesi<br />[] 25 Maluku<br />[] 26 Irian Jaya<br />[] 29 Abroad</div><br /></svar></p> <p><svar a="ID71A415" v="ID71A413 ID71A415">15. Total years lived in present province<br /><div class="i1">_ _</div><br /></svar> Indonesia 1971: Persons who have lived in another province [discrepancies: type I none; type II trace] 01 Aceh 02 North Sumatra 03 West Sumatra 04 Riau 05 Jambi 06 South Sumatra 07 Bengkulu 08 Lampung 09 Jakarta (DKI Jaya) 10 West Java 11 Central Java 12 Yogyakarta (DI Yogyakarta) 13 East Java 14 Bali 15 West Nusa Tenggara 16 East Nusa Tenggara 17 West Kalimantan 18 Central Kalimantan 19 South Kalimantan 20 East Kalimantan 21 North Sulawesi 22 Central Sulawesi 23 South Sulawesi 24 Southeast Sulawesi 25 Maluku 26 Irian Jaya 97 Abroad 98 Unknown 99 NIU (not in universe) This variable indicates the person's province of previous residence. IPUMS Duration of residence in current province <svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415 ID71A416 ID71A417 ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h2">Individual form</span><br />[Section I is the same as Section I: Household and Living Unit Information above]<br /></svar></p> <p><svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415"><span class="h3">II. For all ages</span><br /></svar></p> <p><svar v="ID71A414 ID71A415">[Questions 14-15 were asked of persons who have ever lived in another province, as per question 13]<br /></svar></p> <p><svar a="ID71A415" v="ID71A413 ID71A415">15. Total years lived in present province<br /><div class="i1">_ _</div><br /></svar> Indonesia 1971: Persons who have lived in another province [discrepancies: type I 0.6%; type II 0.5%] 00 Less than 1 year 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50+ 98 Unknown 99 NIU (not in universe) This variable indicates the number of years the person has resided in the current province. IPUMS Number of children born alive <svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415 ID71A416 ID71A417 ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h2">Individual form</span><br />[Section I is the same as Section I: Household and Living Unit Information above]<br /></svar></p> <p><svar v="ID71A416 ID71A417"><span class="h3">Married/ever-married women</span><br /></svar></p> <p><svar a="all" v="ID71A416">16. Number of children born alive _ _<br /></svar> Indonesia 1971: Ever married women [discrepancies: type I 0.2%; type II 2.0%] 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 98 Unknown 99 NIU (not in universe) This variable indicates the number of children that the woman has ever borne alive. IPUMS Number of living children <svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415 ID71A416 ID71A417 ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h2">Individual form</span><br />[Section I is the same as Section I: Household and Living Unit Information above]<br /></svar></p> <p><svar v="ID71A416 ID71A417"><span class="h3">Married/ever-married women</span><br /></svar></p> <p><svar a="all" v="ID71A417">17. Number of children still alive _ _<br /></svar> Indonesia 1971: Ever married women [discrepancies: type I 0.3%; type II 2.0%] 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 98 Unknown 99 NIU (not in universe) This variable indicates the number of children that the woman has ever borne that are still living. IPUMS Person weight Indonesia 1971: All persons This variable indicates the person's sample weight. This is a 4-digit numeric variable with 0 implied decimal places IPUMS Worked last week <svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415 ID71A416 ID71A417 ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h2">Individual form</span><br />[Section I is the same as Section I: Household and Living Unit Information above]<br /></svar></p> <p><svar v="ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h3">IV. 10 years or older</span><br /></svar></p> <p><svar a="all" v="ID71A419">18. Did you do any work last week?<br /><div class="i1">[] Yes (skip to question 21)<br />[] No</div><br /></svar></p> <p><svar a="ID71A420" v="ID71A419 ID71A420">19. What were you doing last week?<br /><div class="i1">[Question 19 was asked of persons age 10 or older who did not work last week, per question 18]<br /><br />[] Looking for work<br />[] School (skip to question 24)<br />[] Household [duties] (skip to question 24)<br />[] Retired (skip to question 24)<br />[] Other (skip to question 24)</div><br /></svar> Indonesia 1971: Persons age 10+ [discrepancies: type I none; type II trace] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the person worked during the previous week. IPUMS Activity last week <svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415 ID71A416 ID71A417 ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h2">Individual form</span><br />[Section I is the same as Section I: Household and Living Unit Information above]<br /></svar></p> <p><svar v="ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h3">IV. 10 years or older</span><br /></svar></p> <p><svar a="ID71A420" v="ID71A419 ID71A420">19. What were you doing last week?<br /><div class="i1">[Question 19 was asked of persons age 10 or older who did not work last week, per question 18]<br /><br />[] Looking for work<br />[] School (skip to question 24)<br />[] Household [duties] (skip to question 24)<br />[] Retired (skip to question 24)<br />[] Other (skip to question 24)</div><br /></svar> Indonesia 1971: Persons age 10+ who did not work last week [discrepancies: none] 1 Looking for work 2 Attending school 3 Housekeeping 4 Retired 5 Other 8 Unknown 9 NIU (not in universe) This variable indicates the primary activity that the person performed during the previous week. IPUMS Ever worked before <svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415 ID71A416 ID71A417 ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h2">Individual form</span><br />[Section I is the same as Section I: Household and Living Unit Information above]<br /></svar></p> <p><svar v="ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h3">IV. 10 years or older</span><br /></svar></p> <p><svar a="ID71A421" v="ID71A421">20. Did you ever do any work?<br /><div class="i1">[Question 20 was asked of persons age 10 or older who did not work last week but are looking for work, per questions 18 and 19]<br /><br />[] Yes<br />[] No (skip to question 24)</div><br /></svar> Indonesia 1971: Persons age 10+ who were looking for work last week [discrepancies: type I 0.8%; type II trace] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the person has ever worked before. IPUMS Occupation class <svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415 ID71A416 ID71A417 ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h2">Individual form</span><br />[Section I is the same as Section I: Household and Living Unit Information above]<br /></svar></p> <p><svar v="ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h3">IV. 10 years or older</span><br /></svar></p> <p><svar v="ID71A422 ID71A423 ID71A424">[Questions 21-23 were asked of persons age 10 or older who had either worked last week, or have ever worked before and were looking for work last week, per questions 18, 19 and 20.]<br /></svar></p> <p><svar a="ID71A422" v="ID71A422">21. Occupation status<br /><div class="i1">[] Own account<br />[] Employer<br />[] Employee<br />[] Unpaid family worker</div><br /></svar> Indonesia 1971: Persons age 10+ who worked last week or have ever worked and are seeking work [discrepancies: type I 0.4%; type II trace] 1 Own account worker 2 Employer 3 Employee 4 Unpaid family worker 8 Unknown 9 NIU (not in universe) This variable indicates the person's type of employment in the current occupation. IPUMS Occupation <svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415 ID71A416 ID71A417 ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h2">Individual form</span><br />[Section I is the same as Section I: Household and Living Unit Information above]<br /></svar></p> <p><svar v="ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h3">IV. 10 years or older</span><br /></svar></p> <p><svar v="ID71A422 ID71A423 ID71A424">[Questions 21-23 were asked of persons age 10 or older who had either worked last week, or have ever worked before and were looking for work last week, per questions 18, 19 and 20.]<br /></svar></p> <p><svar a="ID71A423" v="ID71A423">22. Occupation (write completely)<br /><div class="i1">________</div><br /></svar> Indonesia 1971: Persons age 10+ who worked last week or have ever worked and are seeking work [discrepancies: type I 0.1%; type II 0.4%] 000 NIU (not in universe) 001 Military force member 002 Navy force member 003 Air force member 004 Police force member 009 Other defense forces member 010 Physical scientists and related technicians 011 Chemists 012 Physicists 013 Physical scientists not elsewhere classified 014 Science technicians 021 Architects and town planners 022 Civil engineers 023 Electrical and electronics engineers 029 Engineers not elsewhere classified 031 Surveyors 032 Draughtsmen 033 Civil engineering technicians 034 Electrical and electronics engineering technicians 035 Mechanical engineering technicians 036 Chemical engineering technicians 037 Metallurgical technicians 039 Engineering technicians not elsewhere classified 041 Aircraft pilots, navigators and flight engineers 042 Ships' deck officers and pilots 043 Ships' engineers 044 Aircraft and ships' officers, n.e.c. 051 Biologists, zoologists and related scientists 052 Bacteriologists, pharmacologists and related scientists 053 Livestock researcher 054 Agronomy researcher and other researchers 061 Medical doctors 062 Medical assistants 063 Dentists 064 Dental assistants 065 Veterinarians 069 Dietitians and public health nutritionists 071 Professional nurses 072 Nursing personnel not elsewhere classified 073 Professional midwives 074 Midwifery personnel not elsewhere classified 075 Optometrists and opticians 076 Physiotherapists and occupational therapists 077 Medical X-ray technicians 079 Medical, dental, veterinary and related workers not elsewhere classified 081 Statisticians 084 Statistical and mathematical technicians 089 Statisticians, mathematicians, systems analysts and related technicians, n.e.c. 090 Economists 099 Other social scientists, n.e.c. 110 Accountants 121 Lawyers 122 Judges 123 Attorney 129 Jurists not elsewhere classified 131 University and higher education teachers 132 Secondary education teachers 133 Junior high school teachers 134 Primary education teachers 135 Pre-primary education teachers 136 Outer school education teacher 137 Special education teachers 139 Teachers not elsewhere classified 141 Ulema and leaders in Islamic religions 142 Pastors and leaders in Protestant religions 143 Fathers and leaders in Catholic religions 149 Buddhist priest and leaders in Buddhist religion 151 Authors and critics 152 Journalists, reporters, news commentators, etc. 159 Authors, journalists and related writers not elsewhere classified 161 Sculptors, painters and related artists 162 Commercial artists and designers 163 Photographers and cameramen 169 Artist, composer, or other artists, n.e.d. 171 Composers, musicians and singers 172 Choreographers and dancers 173 Actors and stage directors 174 Producers, performing arts 175 Circus performers 176 Puppeteer, Gamelan player, and similar artists 179 Performing artists not elsewhere classified 180 Athletes, sportsmen and related workers 191 Librarians, archivists and curators 192 Sociologists, anthropologists and related scientists 193 Social workers 194 Personnel and occupational specialists 195 Philologists, translators and interpreters 199 Other professional, technical and related workers 210 Managers 211 General managers 212 Production managers (except farm) 219 Managers not elsewhere classified 299 Managers and directors, n.e.c. 300 Clerical supervisors 310 Government executive officials 321 Stenographers, typists and teletypists 322 Card- and tape-punching machine operators 323 Telex operators 329 Stenographers and punch machine operators, nec 331 Bookkeepers and cashiers 332 Administrative material and production planning worker 333 Administrative office (report and correspondence) worker 339 Bookkeepers, cashiers and related workers not else where classified 342 Automatic data-processing machine operators 349 Computing maching operators, nec 351 Railway station masters 352 Postmasters 359 Transport and communications supervisors not elsewhere classified 360 Land transportation conductors 371 Mail distribution clerks 372 Administration workers of commodity goods 379 Commodity distribution workers, n.e.c. 380 Telephone and telegraph operators 391 Stock clerks 392 Material and production planning clerks 393 Correspondence and reporting clerks 394 Receptionists and travel agency clerks 395 Library and filing clerks 399 Clerks not elsewhere classified 400 Managers (wholesale and retail trade) 410 Working proprietors (wholesale and retail trade) 420 Sales and purchasing supervisors 421 Sales supervisors 422 Buyers 431 Technical salesmen and service advisers 432 Commercial travellers and manufacturers' agents 441 Insurance, real estate and securities salesmen 442 Business services salesmen 451 Salesmen, shop assistants and demonstrators 452 Street vendors, canvassers and newsvendors 453 Merchants 454 Itinerant traders 459 Small sales and tradespeople, n.e.c. 460 Sales assistants 490 Sales and purchase workers, n.e.c. 500 Managers (catering and lodging services) 510 Working proprietors (catering and lodging ser 520 Housekeeping and related service supervisors 531 Cooks 532 Waiters, bartenders and related workers 540 Maids and related housekeeping service worker 550 Building caretakers, charworkers, cleaners and related workers 560 Launderers, dry-cleaners and pressers 570 Hairdressers, barbers, beauticians and relate 580 Protective service workers 590 Service workers not elsewhere classified 591 Guides 592 Undertakers and embalmers 593 Masseurs 599 Other service workers 600 Farm managers and supervisors 611 General farmers 612 Specialised farmers 613 Animal husbandry 620 Agricultural and animal husbandry workers 621 General farm workers 631 Loggers, wood cutters, wood choppers 632 Forestry establishment workers 633 Forest products gatherer 639 Forestry and logging, n.f.s. 640 Fishermen, hunters and related workers 641 Fishermen 642 Marine workers 643 Hunters 649 Fishermen, hunters and related workers not el 699 Agricultural or farm workers, n.e.c. 700 Production supervisors and general foremen 710 Miners, quarrymen, well drillers and related workers 711 Miners and quarrymen 712 Mineral and stone treaters 713 Well drillers, borers and related workers 721 Metal smelting, converting and refining furna 723 Metal melters and reheaters 724 Metal casters 725 Metal moulders and coremakers 729 Metal processers not elsewhere classified 731 Paper makers 732 Paper pulp preparers and other paper material processing 733 Wood processing (including wood perservatives) 734 Sawyers, plywood makers and related woodprocessing workers 735 Wood carvers and handicrafters 736 Makers of bamboo goods 737 Makers of rattan goods 739 Paper makers, wood processors, and other wood working professions 741 Crushers, grinders and mixers 742 Cookers, roasters and related heat-treaters 743 Filter and separator operators 744 Still and reactor operators 745 Petroleum-refining workers 749 Chemical processers and related workers not e 750 Spinners, weavers, knitters, dyers and related workers 751 Fibre preparers 752 Spinners and winders 753 Weaving- and knitting-machine setters and pat 754 Weavers and related workers 755 Knitters 756 Bleachers, dyers and textile product finisher 757 Batik traditional painter 759 Spinners, weavers, knitters, dyers and relate 761 Tanners and fellmongers 762 Pelt dressers 769 Tanners and leather processors, n.e.c. 770 Food and beverage processers 771 Grain millers and related workers 772 Sugar processers and refiners 773 Butchers and meat preparers 774 Food preservers 775 Dairy product processers 776 Bakers, pastrycooks and confectionery makers 777 Tea, coffee and cocoa preparers 778 Brewers, wine and beverage makers 779 Food and beverage processers not elsewhere cl 781 Tobacco preparers 782 Cigar makers 783 Cigarette makers 789 Tobacco preparers and tobacco product makers 791 Tailors and dressmakers 792 Fur tailors and related workers 793 Milliners and hatmakers 794 Patternmakers and cutters 795 Sewers and embroiderers 796 Upholsterers and related workers 799 Tailors, dressmakers, sewers, upholsterers an 800 Shoemakers and leather goods makers 801 Shoemakers and shoe repairers 802 Shoe cutters, lasters, sewers and related wor 803 Leather goods makers 811 Cabinetmakers 812 Woodworking-machine operators 819 Cabinetmakers, furniture makers, and related woodworkers n.e.c. 820 Stone cutters and carvers 831 Blacksmiths, hammersmiths and forging-press o 832 Toolmakers, metal patternmakers and metal mar 833 Machine-tool setter-operators 834 Machine-tool operators 839 Blacksmiths, toolmakers and machine-tool oper 841 Machinery fitters and machine assemblers 842 Watch, clock and precision instrument makers 843 Motor vehicle mechanics 844 Aircraft engine mechanics 849 Machinery fitters, machine assemblers and pre 851 Electrical fitters 852 Electronics fitters 853 Electrical and electronics equipment assemble 854 Radio and television repairmen 855 Electrical wiremen 856 Telephone and telegraph installers 857 Electric linemen and cable jointers 859 Electrical fitters and related electrical and 861 Broadcasting station operators 862 Sound equipment operators and cinema projecti 871 Plumbers and pipe fitters 872 Welders and flame-cutters 873 Sheet-metal workers 874 Structural metal preparers and erectors 880 Jewellery and precious metal workers 891 Glass formers, cutters, grinders and finisher 892 Potters and related clay and abrasive formers 893 Glass and ceramics kilnmen 894 Glass engravers and etchers 895 Glass and ceramics painters and decorators 899 Glass formers, potters and related workers no 900 Rubber and plastics product makers 901 Rubber and plastics product makers (except ti 902 Tire makers and vulcanisers 910 Paper and paperboard products makers, n.e.c. 921 Compositors and typesetters 922 Printing pressmen 923 Stereotypers and electrotypers 924 Printing engravers (except photo-engravers) 925 Photo-engravers 926 Bookbinders and related workers 927 Photographic darkroom workers 929 Printers and related workers not elsewhere cl 931 Painters, construction 932 Vehicle painter 939 Painters, n.e.c. 941 Musical instrument makers and tuners 942 Basketry weavers and brush makers 943 Non-metallic mineral product makers 949 Other production and related workers 950 Bricklayers, carpenters and other construction workers 951 Bricklayers, stonemasons and tile setters 953 Roofers 959 Construction workers not elsewhere classified 961 Power-generating machinery operators 969 Stationary machine operators, n.e.c. 971 Dockers and freight handlers 972 Riggers and cable splicers 973 Crane and hoist operators 974 Earth-moving and related machinery operators 979 Material-handling equipment operators n.e.c. 985 Motor vehicle drivers 997 Labourers not elsewhere classified 998 Unknown This variable indicates the person's occupation. IPUMS Industry <svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415 ID71A416 ID71A417 ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h2">Individual form</span><br />[Section I is the same as Section I: Household and Living Unit Information above]<br /></svar></p> <p><svar v="ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h3">IV. 10 years or older</span><br /></svar></p> <p><svar a="all" v="ID71A419">18. Did you do any work last week?<br /><div class="i1">[] Yes (skip to question 21)<br />[] No</div><br /></svar></p> <p><svar a="ID71A424" v="ID71A424">23. Industry (write completely)<br /><div class="i1">________</div><br /></svar> Indonesia 1971: Persons age 10+ who worked last week or have ever worked and are seeking work [discrepancies: type I 0.3%; type II 0.5%] 11 Smallholders 12 Estate 13 Livestock 14 Agricultural services 15 Hunting 16 Forestry 17 Logging 18 Fishing 21 Coal mining 22 Crude petroleum and natural gas production 23 Metal ore mining 29 Other mining 30 Manufacturing 31 Manufacture of food, beverages and tobacco 32 Textile, wearing apparel and leather industries 33 Manufacture of wood products, including furniture 34 Manufacture of paper, and paper products, printing and publishing 35 Manufacture of chemicals and chemical, petroleum, coal, rubber, and plastic products 36 Manufacture of non-metallic mineral products, except products of petroleum and coal 37 Basic metal industries 38 Manufacture of fabricated metal products, machinery and equipment 39 Other manufacturing Industries 40 Electricity, gas and water 41 Electricity, gas and steam 42 Water works and supply 50 Construction 60 Whoelsale and retail trade and restaurants and hotels 61 Wholesale trade 62 Retail trade 63 Restaurant, cafes and other eating and drinking places 64 Hotels, rooming houses 70 Transport, storage and communication 71 Land transport 72 Water transport 73 Air transport 74 Services allied to transport 75 Communication 80 Financing, insurance, real estate and business services 81 Financial institutions 82 Insurance 83 Real estate and business services 90 Community, social and personal services 91 Public administration and defense 92 Sanitary and similar services 93 Social and related community services 94 Recreational and cultural services 95 Personal and household services 96 International and other extra territorial bodies 98 Unknown 99 NIU (not in universe) This variable indicates the industry that the person works in. IPUMS Agricultural work last season <svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415 ID71A416 ID71A417 ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h2">Individual form</span><br />[Section I is the same as Section I: Household and Living Unit Information above]<br /></svar></p> <p><svar v="ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h3">IV. 10 years or older</span><br /></svar></p> <p><svar a="all" v="ID71A425">24. Did you work in agriculture last season?<br /><div class="i1">[] Yes<br />[] No (end the interview for this person)</div><br /></svar> Indonesia 1971: Persons age 10+ [discrepancies: type I none; type II trace] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the person performed agricultural work in the previous season. IPUMS Agricultural work class <svar v="ID71A401 ID71A402 ID71A403 ID71A404 ID71A405 ID71A406 ID71A407 ID71A408 ID71A409 ID71A410 ID71A411 ID71A412 ID71A413 ID71A414 ID71A415 ID71A416 ID71A417 ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h2">Individual form</span><br />[Section I is the same as Section I: Household and Living Unit Information above]<br /></svar></p> <p><svar v="ID71A419 ID71A420 ID71A421 ID71A422 ID71A423 ID71A424 ID71A425 ID71A426"><span class="h3">IV. 10 years or older</span><br /></svar></p> <p><svar a="all" v="ID71A426">25. Occupational status [agriculture]<br /><div class="i1">[Question 25 was asked of persons age 10 or older who worked in agriculture last season, per question 24.]<br /><br />[] Own account<br />[] Agricultural employee<br />[] Employer<br />[] Unpaid family worker</div><br /></svar> Indonesia 1971: Persons age 10+ who did agricultural work last season [discrepancies: type I 0.1%; type II none] 1 Own account 2 Employer 3 Agricultural employee 4 Unpaid family worker 8 Unknown 9 NIU (not in universe) This variable indicates the person's type of employment in agricultural work. IPUMS