Census of Population and Housing 1991, Spain DDI_ESP_1991_PHC_v01_M_v7.5_A_IPUMS IPUMS

Integrated Public Use Microdata Series (IPUMS) International

IPUMS May 20, 2024 IPUMS, 50 Willey Hall, 225 - 19th Avenue South, Minneapolis, MN 55455 Organization for Economic Co-operation and Development, Development Co-operation Directorate JADE#:60525;MEHLB(2010)12 IPUMS 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. Census of Population and Housing 1991, IPUMS Harmonized Subset IPUMS PHC ESP_1991_PHC_v01_M_v7.5_A_IPUMS Instituto Nacional de Estadisticas (INE) IPUMS (c) Copyright 1991, Instituto Nacional de Estadisticas (INE) and Minnesota Population Center Instituto Nacional de Estadisticas (INE) 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 Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Geography: Global Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Fertility and Mortality Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Disability Variables -- PERSON Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Utilities Variables -- HOUSEHOLD Geography: O-Z Variables -- HOUSEHOLD Migration: Global Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Migration: O-Z Variables -- PERSON Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Dwelling Characteristics Variables -- HOUSEHOLD Technical Household Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Technical Person Variables -- PERSON Constructed Household Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Geography: O-Z Variables -- HOUSEHOLD Demographic Variables -- PERSON Migration: Global Variables -- PERSON Education Variables -- PERSON Fertility and Mortality Variables -- PERSON Work Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON March 1, 1991 March 1 to April 1, 1991 Spain Municipalities with 20,000+ population Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: Yes - Households: yes - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: A dwelling is a structurally separate and independent location that, given the way it was built, rebuilt, transformed, or adapted, is conceived to be inhabited by persons, or, even if this is not the case, is effectively and actually inhabited at the time of the census. - Households: A household is the group of people who, residing in the same dwelling, share expenses derived from the use of the dwelling and/or alimentation. Single person and multiperson households are to be considered. - Group quarters: Collective dwellings are those dwellings or buildings designed to be occupied by persons who do not constitute a family, subject to a common regime or authority, or gathered by common objectives or interests. The census includes persons who have a fixed residence in the national territory as well as those who are in the national territory at the time of reference, without omissions nor duplications. The persons who have their residency in Spain constitute the fixed population [population with rights]. The persons who are in the national territory at the moment of the census form the actual population [de facto]. [Alojamiento] "Lodging" refers to those units that do not qualify as dwelling because they are mobile, semi-permanent or improvised or because they have not been conceived for residential purposes but were occupied during the census. Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Spain 1991 MICRODATA SOURCE: Instituto Nacional de Estadisticas (INE) SAMPLE SIZE (person records): 1931458. SAMPLE DESIGN: Systematic stratified sample [Alojamiento] "Lodging" refers to those units that do not qualify as dwelling because they are mobile, semi-permanent or improvised or because they have not been conceived for residential purposes but were occupied during the census. Face-to-face [f2f] There are five forms: general questionnaire, individual questionnaire, collective [dwelling] questionnaire, secondary dwellings with no registered dwellers, and 1990 building questionnaire. de jure, CENSUS DAY: March 1, 1991 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. Instituto Nacional de Estadisticas (INE) . 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: Spain, Instituto Nacional de Estadisticas (INE). Census of Population and Housing 1991, Spain 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. User-provided description: DOI:10.18128/D020.V7.5 Extract for es1991a, 2024 ESP1991_PHC-H-H.dat Household records 592,276 ascii Minnesota Population Center Version 7.5, IPUMS sample ESP1991_PHC-P-H.dat Person records 1931458 ascii Minnesota Population Center Version 7.5, IPUMS sample Record type 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. H Household P Person Technical Household Variables -- HOUSEHOLD Country 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). 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 Technical Household Variables -- HOUSEHOLD Year 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. 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 Technical Household Variables -- HOUSEHOLD IPUMS sample identifier 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). 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 Technical Household Variables -- HOUSEHOLD 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. Technical Household Variables -- HOUSEHOLD 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. Technical Household Variables -- HOUSEHOLD 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. Technical Household Variables -- HOUSEHOLD Subsample number 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. 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 Technical Household Variables -- HOUSEHOLD 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. Technical Household Variables -- HOUSEHOLD Group quarters (collective dwelling) status 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. 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 Group Quarters Variables -- HOUSEHOLD Number of unrelated persons UNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ Group Quarters Variables -- HOUSEHOLD Continent and region of country REGIONW identifies the continent and region of each 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 Geography: Global Variables -- HOUSEHOLD 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. Geography: Global Variables -- HOUSEHOLD 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. Geography: Global Variables -- HOUSEHOLD Nomenclature of Territorial Units for Statistics 1, Europe ENUTS1 identifies the Nomenclature of Territorial Units for Statistics (NUTS) within Europe in which the household was enumerated. NUTS1 is the first level territorial units within countries. NUTS is a standard administrative division of the European Union, and was developed by the EU. The European Free Trade Association extends the NUTS system to several additional countries outside of the EU, and they are also incorporated into this variable. ENUTS1 corresponds to the 2010 version of NUTS1 released by Eurostat. IPUMS has added ENUTS1_2013 for the more recent samples. ENUTS1_2013 is an amendment to the annexes to the ENUTS1 classification. The last 2-digits of the ENUTS1 variable provide the NUTS1 code. The labels include the standard code for the NUTS1 system and the name of the NUTS1 region, separated by a slash. Smaller sub-national units are available for most countries in ENUTS2 and ENUTS3. The full set of geography variables for the countries 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. 0101 AT1 / Ostösterreich 0102 AT2 / Südösterreich 0103 AT3 / Westösterreich 0601 DE1 / Baden-Württemberg 0602 DE2 / Bayern 0603 DE3 / Berlin 0604 DE4 / Brandenburg 0605 DE5 / Bremen 0606 DE6 / Hamburg 0607 DE7 / Hessen 0608 DE8 / Mecklenburg-Vorpommern 0609 DE9 / Niedersachsen 0610 DEA / Nordrhein-Westfalen 0611 DEB / Rheinland-Pfalz 0612 DEC / Saarland 0613 DED / Sachsen 0614 DEE / Sachsen-Anhalt 0615 DEF / Schleswig-Holstein 0616 DEG / Thüringen 0901 ES1 / Noroeste 0902 ES2 / Noreste 0903 ES3 / Comunidad de Madrid 0904 ES4 / Centro (E) 0905 ES5 / Este 0906 ES6 / Sur 0907 ES7 / Canarias 0909 ES / Unknown 1101 FR1 / Île de France 1102 FR2 / Bassin Parisien 1103 FR3 / Nord - Pas-de-Calais 1104 FR4 / Est 1105 FR5 / Ouest 1106 FR6 / Sud-Ouest 1107 FR7 / Centre-Est 1108 FR8 / Méditerranée 1109 FR9 / Département d’Outre-Mer 1199 FR99 / Unknown 1201 EL1 / Voreia Ellada 1202 EL2 / Kentriki Ellada 1203 EL3 / Attiki 1204 EL4 / Nisia Aigaiou, Kriti 1400 IE0 / Republic of Ireland 1503 ITC / Nord-Ovest 1506 ITF / Sud 1507 ITG / Isole 1508 ITH / Nord-Est 1509 ITI / Centro 2101 PL1 / Centralny 2102 PL2 / Południowy 2103 PL3 / Wschodni 2104 PL4 / Północno-zachodni 2105 PL5 / Południowo-zachodni 2106 PL6 / Północny 2201 PT1 / Continente 2202 PT2 / Região Autónoma dos Açores 2203 PT3 / Região Autónoma da Madeira 2301 RO1 / Macroregiunea Unu 2302 RO2 / Macroregiunea Doi 2303 RO3 / Macroregiunea Trei 2304 RO4 / Macroregiunea Patru 2501 SI0 / Slovenia 2600 SK0 / Slovensko 2701 UKC / North East (England) 2702 UKD / North West (England) 2703 UKE / Yorkshire and the Humber (England) 2704 UKF / East Midlands (England) 2705 UKG / West Midlands (England) 2706 UKH / East of England (England) 2707 UKI / LONDON (England) 2708 UKJ / South East (England) 2709 UKK / South West (England) 2710 UKL / WALES 2711 UKM / SCOTLAND 2712 UKN / NORTHERN IRELAND 3400 CH0/Switzerland 3901 TR1 / Istanbul 3902 TR2 / Bati Marmara 3903 TR3 / Ege 3904 TR4 / Dogu Marmara 3905 TR5 / Bati Anadolu 3906 TR6 / Akdeniz 3907 TR7 / Orta Anadolu 3908 TR8 / Bati Karadeniz 3909 TR9 / Dogu Karadeniz 3911 TRA / Kuzeydogu Anadolu 3912 TRB / Ortadogu Anadolu 3913 TRC / Güneydogu Anadolu 9999 UNKNOWN Geography: Global Variables -- HOUSEHOLD Nomenclature of Territorial Units for Statistics 2, Europe ENUTS2 identifies the Nomenclature of Territorial Units for Statistics (NUTS) within Europe in which the household was enumerated. NUTS2 is the second level territorial units within countries. NUTS is a standard administrative division of the European Union, and was developed by the EU. The European Free Trade Association extends the NUTS system to several additional countries outside of the EU, and they are also incorporated into this variable. ENUTS2 corresponds to the 2010 version of NUTS2 released by Eurostat. The code labels include the standard code for the NUTS2 system and the name of the NUTS2 region, separated by a slash. The full set of geography variables for the countries 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. 0111 AT11 / Burgenland 0112 AT12 / Niederösterreich 0113 AT13 / Wien 0121 AT21 / Kärnten 0122 AT22 / Steiermark 0131 AT31 / Oberösterreich 0132 AT32 / Salzburg 0133 AT33 / Tirol 0134 AT34 / Vorarlberg 0911 ES11 / Galicia 0912 ES12 / Principado de Asturias 0913 ES13 / Cantabria 0921 ES21 / País Vasco 0922 ES22 / Comunidad Foral de Navarra 0923 ES23 / La Rioja 0924 ES24 / Aragón 0930 ES30 / Comunidad de Madrid 0941 ES41 / Castilla y León 0942 ES42 / Castilla-La Mancha 0943 ES43 / Extremadura 0951 ES51 / Cataluña 0952 ES52 / Comunidad Valenciana 0953 ES53 / Illes Balears 0961 ES61 / Andalucía 0962 ES62 / Región de Murcia 0963 ES63 / Ciudad Autónoma de Ceuta 0964 ES64 / Ciudad Autónoma de Melilla 0970 ES70 / Canarias 0999 ES / Unknown 1110 FR10 / Île de France 1121 FR21 / Champagne-Ardenne 1122 FR22 / Picardie 1123 FR23 / Haute-Normandie 1124 FR24 / Centre 1125 FR25 / Basse-Normandie 1126 FR26 / Bourgogne 1130 FR30 / Nord-Pas-de-Calais 1141 FR41 / Lorraine 1142 FR42 / Alsace 1143 FR43 / Franche-Comté 1151 FR51 / Pays de la Loire 1152 FR52 / Bretagne 1153 FR53 / Poitou-Charentes 1161 FR61 / Aquitaine 1162 FR62 / Midi-Pyrénées 1163 FR63 / Limousin 1171 FR71 / Rhône-Alpes 1172 FR72 / Auvergne 1181 FR81 / Lanquedoc-Roussillon 1182 FR82 / Provence-Alpes-Côte d'Azur 1183 FR83 / Corse 1191 FR91 / Guadeloupe 1192 FR92 / Martinique 1193 FR93 / Guyane 1194 FR94 / Réunion 1199 FR99 / Unknown 1211 EL11 / Anatoliki Makedonia, Thraki 1212 EL12 / Kentriki Makedonia 1213 EL13 / Dytiki Makedonia 1214 EL14 / Thessalia 1221 EL21 / Ipeiros 1222 EL22 / Ionia Nisia 1223 EL23 / Dytiki Ellada 1224 EL24 / Sterea Ellada 1225 EL25 / Peloponnisos 1230 EL30 / Attiki 1241 EL41 / Voreio Aigaio 1242 EL42 / Notio Aigaio 1243 EL43 / Kriti 1401 IE01 / Border, Midland and Western 1402 IE02 / Southern and Eastern 1531 ITC1 / Piemonte + ITC2 / Valle d'Aosta 1533 ITC3 / Liguria 1534 ITC4 /Lombardia 1561 ITF1 / Abruzzo 1562 ITF2 / Molise 1563 ITF3 / Campania 1564 ITF4 / Puglia 1565 ITF5 / Basilicata 1566 ITF6 / Calabria 1571 ITG1 / Sicilia 1572 ITG2 / Sardegna 1581 ITH1 / Bolzano-Bozen + ITH2 / Trento 1583 ITH3 / Veneto 1584 ITH4 / Friuli-Venezia Giulia 1585 ITH5 / Emilia-Romagna 1591 ITI1 / Toscana 1592 ITI2 / Umbria 1593 ITI3 / Marche 1594 ITI4 / Lazio 2111 PL11 / Łódzkie 2112 PL12 / Mazowieckie 2121 PL21 / Małopolskie 2122 PL22 / Śląskie 2131 PL31 / Lubelskie 2132 PL32 / Podkarpackie 2133 PL33 / Świętokrzyskie 2134 PL34 / Podlaskie 2141 PL41 / Wielkopolskie 2142 PL42 / Zachodniopomorskie 2143 PL43 / Lubuskie 2151 PL51 / Dolnośląskie 2152 PL52 / Opolskie 2161 PL61 / Kujawsko-Pomorskie 2162 PL62 / Warmińsko-Mazurskie 2163 PL63 / Pomorskie 2211 PT11 / Norte 2215 PT15 / Algarve 2216 PT16 / Centro (P) 2217 PT17 / Lisboa 2218 PT18 / Alentejo 2220 PT20 / Região Autónoma dos Açores 2230 PT30 / Região Autónoma da Madeira 2311 RO11 / Nord-Vest 2312 RO12 / Centru 2321 RO21 / Nord-Est 2322 RO22 / Sud-Est 2331 RO31 / Sud - Muntenia 2332 RO32 / Bucuresti - Ilfov 2341 RO41 / Sud-Vest Oltenia 2342 RO42 / Vest 2501 SI01 / Vzhodna Slovenija 2502 SI02 / Zahodna Slovenija 2599 SI / Unknown 2601 SK01 / Bratislavský kraj 2602 SK02 / Západné Slovensko 2603 SK03 / Stredné Slovensko 2604 SK04 / Východné Slovensko 3401 CH01 / Région Lémanique 3402 CH02 / Espace Mittelland 3403 CH03 / Nordwestschweiz 3404 CH04 / Zurich 3405 CH05 / Ostschweiz 3406 CH06 / Zentralschweiz 3407 CH07 / Ticino 3910 TR10 / Istanbul 3921 TR21 / Tekirdag, Edirne, Kirklareli 3922 TR22 / Balikesir, Çanakkale 3931 TR31 / Izmir 3932 TR32 / Aydin, Denizli, Mugla 3933 TR33 / Manisa, Afyonkarahisar, Kütahya, Usak 3941 TR41 / Bursa, Eskisehir, Bilecik 3942 TR42 / Kocaeli, Sakarya, Düzce, Bolu, Yalova 3951 TR51 / Ankara 3952 TR52 / Konya, Karaman 3961 TR61 / Antalya, Isparta, Burdur 3962 TR62 / Adana, Mersin 3963 TR63 / Hatay, Kahramanmaras, Osmaniye 3971 TR71 / Kirikkale, Aksaray, Nigde, Nevsehir, Kirsehir 3972 TR72 / Kayseri, Sivas, Yozgat 3981 TR81 / Zonguldak, Karabük, Bartin 3982 TR82 / Kastamonu, Çankiri, Sinop 3983 TR83 / Samsun, Tokat, Çorum, Amasya 3990 TR90 / Trabzon 3991 TRA1 / Erzurum, Erzincan, Bayburt 3992 TRA2 / Agri, Kars, Igdir, Ardahan 3993 TRB1 / Malatya, Elazig, Bingöl, Tunceli 3994 TRB2 / Van, Mus, Bitlis, Hakkari 3995 TRC1 / Gaziantep, Adiyaman, Kilis 3996 TRC2 / Sanliurfa, Diyarbakir 3997 TRC3 / Mardin, Batman, Sirnak, Siirt Geography: Global Variables -- HOUSEHOLD Nomenclature of Territorial Units for Statistics 3, Europe ENUTS3 identifies the Nomenclature of Territorial Units for Statistics (NUTS) within Europe in which the household was enumerated. NUTS3 is the third level territorial units within countries. NUTS is a standard administrative division of the European Union, and was developed by the EU. The European Free Trade Association extends the NUTS system to several additional countries outside of the EU, and they are also incorporated into this variable. ENUTS3 corresponds to the 2010 version of NUTS3 released by Eurostat. The code labels include the standard code for the NUTS3 system and the name of the NUTS3 region, separated by a slash. The full set of geography variables for the countries 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. 01111 AT111 / Mittelburgenland + AT113 / Südburgenland 01112 AT112 / Nordburgenland 01121 AT121 / Mostviertel-Eisenwurzen 01122 AT122 / Niederösterreich-Süd 01123 AT123 / Sankt Pölten 01124 AT124 / Waldviertel 01125 AT125 / Weinviertel 01126 AT126 / Wiener Umland/Nordteil 01127 AT127 / Wiener Umland/Südteil 01130 AT130 / Wien 01211 AT211 / Klagenfurt-Villach 01212 AT212 / Oberkärnten 01213 AT213 / Unterkärnten 01221 AT221 / Graz 01222 AT222 / Liezen 01223 AT223 / Östliche Obersteiermark 01224 AT224 / Oststeiermark 01225 AT225 / West- und Südsteiermark 01226 AT226 / Westliche Obersteiermark 01311 AT311 / Innviertel 01312 AT312 / Linz-Wels 01313 AT313 / Mühlviertel 01314 AT314 / Steyr-Kirchdorf 01315 AT315 / Traunviertel 01321 AT321 / Lungau + AT322 / Pinzgau-Pongau 01323 AT323 / Salzburg und Umgebung 01331 AT331 / Außerfern + AT334 / Tiroler Oberland 01332 AT332 / Innsbruck 01333 AT333 / Osttirol + AT335 / Tiroler Unterland 01341 AT341 / Bludenz-Bregenzer Wald 01342 AT342 / Rheintal-Bodenseegebiet 09111 ES111 / A Coruña 09112 ES112 / Lugo 09113 ES113 / Ourense 09114 ES114 / Pontevedra 09120 ES120 / Asturias 09130 ES130 / Cantabria 09211 ES211 / Álava 09212 ES212 / Guipúzcoa 09213 ES213 / Vizcaya 09220 ES220 / Navarra 09230 ES230 / La Rioja 09241 ES241 / Huesca 09242 ES242 / Teruel 09243 ES243 / Zaragoza 09300 ES300 / Madrid 09411 ES411 / Ávila 09412 ES412 / Burgos 09413 ES413 / León 09414 ES414 / Palencia 09415 ES415 / Salamanca 09416 ES416 / Segovia 09417 ES417 / Soria 09418 ES418 / Valladolid 09419 ES419 / Zamora 09421 ES421 / Albacete 09422 ES422 / Ciudad Real 09423 ES423 / Cuenca 09424 ES424 / Guadalajara 09425 ES425 / Toledo 09431 ES431 / Badajoz 09432 ES432 / Cáceres 09511 ES511 / Barcelona 09512 ES512 / Girona 09513 ES513 / Lleida 09514 ES514 / Tarragona 09521 ES521 / Alicante/Alacant 09522 ES522 / Castellón/Castelló 09523 ES523 / Valencia/València 09532 ES532 / Mallorca + ES533 / Menorca + ES531 / Eivissa y Formentera 09611 ES611 / Almería 09612 ES612 / Cádiz 09613 ES613 / Córdoba 09614 ES614 / Granada 09615 ES615 / Huelva 09616 ES616 / Jaén 09617 ES617 / Málaga 09618 ES618 / Sevilla 09620 ES620 / Murcia 09630 ES630 / Ceuta 09640 ES640 / Melilla 09705 ES705 / Gran Canaria + ES704 / Fuerteventura + ES708 / Lanzarote 09709 ES709 / Tenerife + ES706 / La Gomera + ES707 / La Palma + ES703 / El Hierro 09999 ES / Unknown 12111 EL111 / Evros 12112 EL112 / Xanthi 12113 EL113 / Rodopi 12114 EL114 / Drama 12115 EL115 / Kavala 12121 EL121 / Imathia 12122 EL122 / Thessaloniki 12123 EL123 / Kilkis 12124 EL124 / Pella 12125 EL125 / Pieria 12126 EL126 / Serres 12127 EL127 / Chalkidiki and Aghion Oros 12131 EL131 / Grevena 12132 EL132 / Kastoria 12133 EL133 / Kozani 12134 EL134 / Florina 12141 EL141 / Karditsa 12142 EL142 / Larisa 12143 EL143 / Magnisia 12144 EL144 / Trikala 12211 EL211 / Arta 12212 EL212 / Thesprotia 12213 EL213 / Ioannina 12214 EL214 / Preveza 12221 EL221 / Zakynthos 12222 EL222 / Kerkyra 12223 EL223 / Kefallinia 12224 EL224 / Lefkada 12231 EL231 / Aitoloakarnania 12232 EL232 / Achaia 12233 EL233 / Ilia 12241 EL241 / Voiotia 12242 EL242 / Evvoia 12243 EL243 / Evrytania 12244 EL244 / Fthiotida 12245 EL245 / Fokida 12251 EL251 / Argolida 12252 EL252 / Arkadia 12253 EL253 / Korinthia 12254 EL254 / Lakonia 12255 EL255 / Messinia 12300 EL300 / Attiki 12411 EL411 / Lesvos 12412 EL412 / Samos 12413 EL413 / Chios 12421 EL421 / Dodekanissos 12422 EL422 / Kyklades 12431 EL431 / Iraklio 12432 EL432 / Lasithi 12433 EL433 / Rethymni 12434 EL434 / Chania 14011 IE011 / Border 14012 IE012 / Midlands 14013 IE013 / West 14021 IE021 / Dublin 14022 IE022 / Mid-East 14023 IE023 / Mid-West 14024 IE024 / South-East 14025 IE025 / South-West 15311 ITC11 / Torino 15312 ITC12 / Vercelli 15313 ITC13 / Biella 15314 ITC14 / Verbano-Cusio-Ossola 15315 ITC15 / Novara 15316 ITC16 / Cuneo 15317 ITC17 / Asti 15318 ITC18 / Alessandria 15320 ITC20 / Aosta 15331 ITC31 / Imperia 15332 ITC32 / Savona 15333 ITC33 / Genova 15334 ITC34 / La Spezia 15341 ITC41 / Varese 15342 ITC42 / Como 15343 ITC43 / Lecco 15344 ITC44 / Sondrio 15346 ITC46 / Bergamo 15347 ITC47 / Brescia 15348 ITC48 / Pavia 15349 ITC49 / Lodi 15350 ITC4A / Cremona 15351 ITC4B / Mantova 15352 ITC4C / Milano 15353 ITC4D / Monza e della Brianza 15611 ITF11 / L'Aquila 15612 ITF12 / Teramo 15613 ITF13 / Pescara 15614 ITF14 / Chieti 15621 ITF21 / Isernia 15622 ITF22 / Campobasso 15631 ITF31 / Caserta 15632 ITF32 / Benevento 15633 ITF33 / Napoli 15634 ITF34 / Avellino 15635 ITF35 / Salerno 15643 ITF43 / Taranto 15644 ITF44 / Brindisi 15645 ITF45 / Lecce 15646 ITF46 / Foggia 15647 ITF47 / Bari 15648 ITF48 / Barletta-Andria-Trani 15651 ITF51 / Potenza 15652 ITF52 / Matera 15661 ITF61 / Cosenza 15662 ITF62 / Crotone 15663 ITF63 / Catanzaro 15664 ITF64 / Vibo Valentia 15665 ITF65 / Reggio di Calabria 15711 ITG11 / Trapani 15712 ITG12 / Palermo 15713 ITG13 / Messina 15714 ITG14 / Agrigento 15715 ITG15 / Caltanissetta 15716 ITG16 / Enna 15717 ITG17 / Catania 15718 ITG18 / Ragusa 15719 ITG19 / Siracusa 15733 Sud Sardegna 15725 ITG25 / Sassari 15726 ITG26 / Nuoro 15727 ITG27 / Cagliari 15728 ITG28 / Oristano 15729 ITG29 / Olbia-tempio 15730 ITG2A / Ogliastra 15731 ITG2B / Medio-campidano 15732 ITG2C / Carbonia-Iglesias 15810 ITH10 / Bolzano-Bozen 15820 ITH20 / Trento 15831 ITH31 / Verona 15832 ITH32 / Vicenza 15833 ITH33 / Belluno 15834 ITH34 / Treviso 15835 ITH35 / Venezia 15836 ITH36 / Padova 15837 ITH37 / Rovigo 15841 ITH41 / Pordenone 15842 ITH42 / Udine 15843 ITH43 / Gorizia 15844 ITH44 / Trieste 15851 ITH51 / Piacenza 15852 ITH52 / Parma 15853 ITH53 / Reggio nell'Emilia 15854 ITH54 / Modena 15855 ITH55 / Bologna 15856 ITH56 / Ferrara 15857 ITH57 / Ravenna 15858 ITH58 / Forlì-Cesena 15859 ITH59 / Rimini 15911 ITI11 / Massa-Carrara 15912 ITI12 / Lucca 15913 ITI13 / Pistoia 15914 ITI14 / Firenze 15915 ITI15 / Prato 15916 ITI16 / Livorno 15917 ITI17 / Pisa 15918 ITI18 / Arezzo 15919 ITI19 / Siena 15920 ITI1A / ELosseto 15921 ITI21 / Perugia 15922 ITI22 / Terni 15931 ITI31 / Pesaro e Urbino 15932 ITI32 / Ancona 15933 ITI33 / Macerata 15934 ITI34 / Ascoli Piceno 15935 ITI35 / Fermo 15941 ITI41 / Viterbo 15942 ITI42 / Rieti 15943 ITI43 / Roma 15944 ITI44 / Latina 15945 ITI45 / Frosinone 22111 PT111 / Minho-Lima 22112 PT112 / Cávado 22113 PT113 / Ave 22114 PT114 / ELande Porto 22115 PT115 / Tâmega 22116 PT116 / Entre Douro e Vouga 22117 PT117 / Douro 22118 PT118 / Alto Trás-os-Montes 22150 PT150 / Algarve 22161 PT161 / Baixo Vouga 22162 PT162 / Baixo Mondego 22163 PT163 / Pinhal Litoral 22165 PT165 / Dão-Lafões 22166 PT16B / Oeste 22167 PT16C / Médio Tejo 22169 PT164 / Pinhal Interior Norte + PT166 / Pinhal Interior Sul + PT167 / Serra da Estrela + PT168 / Beira Interior Norte + PT169 / Beira Interior Sul + PT16A / Cova da Beira 22171 PT171 / Grande Lisboa 22172 PT172 / Península de Setúbal 22185 PT185 / Lezíria do Tejo 22189 PT181 / Alentejo Litoral + PT182 / Alto Alentejo + PT183 / Alentejo Central + PT184 / Baixo Alentejo 22200 PT200 / Região Autónoma dos Açores 22300 PT300 / Região Autónoma da Madeira 23111 RO111 / Bihor 23112 RO112 / Bistrita Nasaud 23113 RO113 / Cluj 23114 RO114 / Maramures 23115 RO115 / Satu Mare 23116 RO116 / Salaj 23121 RO121 / Alba 23122 RO122 / Brasov 23123 RO123 / Covasna 23124 RO124 / Harghita 23125 RO125 / Mures 23126 RO126 / Sibiu 23211 RO211 / Bacau 23212 RO212 / Botosani 23213 RO213 / Iasi 23214 RO214 / Neamt 23215 RO215 / Suceava 23216 RO216 / Vaslui 23221 RO221 / Braila 23222 RO222 / Buzau 23223 RO223 / Constanta 23224 RO224 / Galati 23225 RO225 / Tulcea 23226 RO226 / Vrancea 23311 RO311 / Arges 23312 RO312 / Calarasi 23313 RO313 / Dimbovita 23314 RO314 / Giurgiu 23315 RO315 / Ialomita 23316 RO316 / Prahova 23317 RO317 / Teleorman 23321 RO321 / Bucuresti 23322 RO322 / Ilfov 23411 RO411 / Dolj 23412 RO412 / Gorj 23413 RO413 / Mehedinti 23414 RO414 / Olt 23415 RO415 / Valcea 23421 RO421 / Arad 23422 RO422 / Caras Severin 23423 RO423 / Hunedoara 23424 RO424 / Timis 25011 SI011 / Pomurska 25012 SI012 / Podravska 25013 SI013 / Koroka 25014 SI014 / Savinjska 25015 SI015 / Zasavska 25016 SI016 / Spodnjeposavska 25017 SI017 / Jugovzhodna Slovenija 25018 SI018 / Notranjsko-kraka 25021 SI021 / Osrednjeslovenska 25022 SI022 / Gorenjska 25023 SI023 / Gorika 25024 SI024 / Obalno-kraka 25999 SI / Unknown 26010 SK010 / Bratislavský kraj 26021 SK021 / Trnavský kraj 26022 SK022 / Trenčiansky kraj 26023 SK023 / Nitriansky kraj 26031 SK031 / Žilinský kraj 26032 SK032 / Banskobystrický kraj 26041 SK041 / Prešovský kraj 26042 SK042 / Košický kraj 34011 CH011 / Vaud 34012 CH012 / Valais 34013 CH013 / Geneva 34021 CH021 / Bern 34022 CH022 / Freiburg 34023 CH023 / Solothurn 34024 CH024 / Neuchatel 34025 CH025 / Jura 34031 CH031 / Basel-Stadt 34032 CH032 / Basel-Landschaft 34033 CH033 / Aargau 34040 CH040 / Zurich 34051 CH051 / Glarus 34052 CH052 / Schaffhausen 34053 CH053 / Appenzell Ausserrhoden + CH054 / Appenzell Innerrhoden 34055 CH055 / St. Gallen 34056 CH056 / Graubundun 34057 CH057 / Thurgau 34061 CH061 / Luzern 34062 CH062 / Uri 34063 CH063 / Schwyz 34064 CH064 / Obwalden 34065 CH065 / Nidwalden 34066 CH066 / Zug 34070 CH070 / Ticino 39100 TR100 / Istanbul 39211 TR211 / Tekirdag 39212 TR212 / Edirne 39213 TR213 / Kirklareli 39221 TR221 / Balikesir 39222 TR222 / Çanakkale 39310 TR310 / Izmir 39321 TR321 / Aydin 39322 TR322 / Denizli 39323 TR323 / Mugla 39331 TR331 / Manisa 39332 TR332 / Afyon 39333 TR333 / Kütahya 39334 TR334 / Usak 39411 TR411 / Bursa 39412 TR412 / Eskisehir 39413 TR413 / Bilecik 39421 TR421 / Kocaeli 39422 TR422 / Sakarya 39423 TR423 / Düzce 39424 TR424 / Bolu 39425 TR425 / Yalova 39510 TR510 / Ankara 39521 TR521 / Konya 39522 TR522 / Karaman 39611 TR611 / Antalya 39612 TR612 / Isparta 39613 TR613 / Burdur 39621 TR621 / Adana 39622 TR622 / Içel (Mersin) 39631 TR631 / Hatay 39632 TR632 / Kahramanmaras 39633 TR633 / Osmaniye 39711 TR711 / Kirikkale 39712 TR712 / Aksaray 39713 TR713 / Nigde 39714 TR714 / Nevsehir 39715 TR715 / Kirsehir 39721 TR721 / Kayseri 39722 TR722 / Sivas 39723 TR723 / Yozgat 39811 TR811 / Zonguldak 39812 TR812 / Karabük 39813 TR813 / Bartin 39821 TR821 / Kastamonu 39822 TR822 / Çankiri 39823 TR823 / Sinop 39831 TR831 / Samsun 39832 TR832 / Tokat 39833 TR833 / Çorum 39834 TR834 / Amasya 39901 TR901 / Trabzon 39902 TR902 / Ordu 39903 TR903 / Giresun 39904 TR904 / Rize 39905 TR905 / Artvin 39906 TR906 / Gümüshane 39910 TRA11 / Erzurum 39911 TRA12 / Erzincan 39912 TRA13 / Bayburt 39921 TRA21 / Agri 39922 TRA22 / Kars 39923 TRA23 / Igdir 39924 TRA24 / Ardahan 39931 TRB11 / Malatya 39932 TRB12 / Elazig 39933 TRB13 / Bingöl 39934 TRB14 / Tunceli 39941 TRB21 / Van 39942 TRB22 / Mus 39943 TRB23 / Bitlis 39944 TRB24 / Hakkari 39951 TRC11 / Gaziantep 39952 TRC12 / Adiyaman 39953 TRC13 / Kilis 39961 TRC21 / Sanliurfa 39962 TRC22 / Diyarbakir 39971 TRC31 / Mardin 39972 TRC32 / Batman 39973 TRC33 / Sirnak 39974 TRC34 / Siirt Geography: Global Variables -- HOUSEHOLD 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. Geography: Global Variables -- HOUSEHOLD 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. Geography: Global Variables -- HOUSEHOLD 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. Geography: Global Variables -- HOUSEHOLD 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. Geography: Global Variables -- HOUSEHOLD Spain, Communities and Autonomous Cities 1981 - 2018 [Level 1; consistent boundaries, GIS] GEO1_ES identifies the household's communities and autonomous cities within Spain in all sample years. Communities and autonomous cities are the first level administrative units of the country. GEO1_ES 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_ES can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Spain 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. 724011 Galicia 724012 Principado de Asturias 724013 Cantabria 724021 País Vasco 724022 Comunidad Foral de Navarra 724023 La Rioja 724024 Aragón 724030 Comunidad de Madrid 724041 Castilla y León 724042 Castilla-La Mancha 724043 Extremadura 724051 Cataluña 724052 Comunidad Valenciana 724053 Islas Baleares 724061 Andalucía 724062 Región de Murcia 724063 Ciudad Autónoma de Ceuta 724064 Ciudad Autónoma de Melilla 724070 Canarias 724099 Unknown Geography: O-Z Variables -- HOUSEHOLD Spain, Communities and Autonomous Cities 1991 [Level 1, GIS] GEO1_ES1991 identifies the household's communities and autonomous cities in 1991. Communities and autonomous cities are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_ES1991 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Spain 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. 011 Galicia 012 Principado de Asturias 013 Cantabria 021 País Vasco 022 Comunidad Foral de Navarra 023 La Rioja 024 Aragón 030 Comunidad de Madrid 041 Castilla y León 042 Castilla-La Mancha 043 Extremadura 051 Cataluña 052 Comunidad Valenciana 053 Islas Baleares 061 Andalucía 062 Región de Murcia 063 Ciudad Autónoma de Ceuta 064 Ciudad Autónoma de Melilla 070 Canarias Geography: O-Z Variables -- HOUSEHOLD Spain, Province 1981 - 2018 [Level 2; consistent boundaries,GIS] GEO2_ES identifies the household’s province within Spain for all sample years. Provinces are the second level administrative units of the country, after communities and autonomous cities. A GIS map (in shapefile format), corresponding to GEO2_ES can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Spain 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. 724011015 A Coruña 724011027 Lugo 724011032 Ourense 724011036 Pontevedra 724012033 Asturias 724013039 Cantabria 724021001 Álava 724021020 Guipúzcoa 724021048 Vizcaya 724022031 Navarra 724023026 La Rioja 724024022 Huesca 724024044 Teruel 724024050 Zaragoza 724030028 Madrid 724041005 Ávila 724041009 Burgos 724041024 León 724041034 Palencia 724041037 Salamanca 724041040 Segovia 724041042 Soria 724041047 Valladolid 724041049 Zamora 724042002 Albacete 724042013 Ciudad Real 724042016 Cuenca 724042019 Guadalajara 724042045 Toledo 724043006 Badajoz 724043010 Cáceres 724051008 Barcelona 724051017 Girona 724051025 Lleida 724051043 Tarragona 724052003 Alicante/Alacant 724052012 Castellón/Castelló 724052046 Valencia/València 724053007 Islas Baleares 724061004 Almería 724061011 Cádiz 724061014 Córdoba 724061018 Granada 724061021 Huelva 724061023 Jaén 724061029 Málaga 724061041 Sevilla 724062030 Murcia 724063051 Ceuta 724064052 Melilla 724070035 Las Palmas 724070038 Santa Cruz de Tenerife 724099999 Unknown Geography: O-Z Variables -- HOUSEHOLD Spain, Province 1991 [Level 2, GIS] GEO2_ES1991 identifies the household’s province within Spain in 1991. Provinces are the second level administrative units of the country, after communities and autonomous cities. A GIS map (in shapefile format), corresponding to GEO2_ES1991 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Spain 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. 011015 A Coruña 011027 Lugo 011032 Orense 011036 Pontevedra 012033 Asturias 013039 Cantabria 021001 Álava 021020 Guipúzcoa 021048 Vizcaya 022031 Navarra 023026 La Rioja 024022 Huesca 024044 Teruel 024050 Zaragoza 030028 Madrid 041005 Ávila 041009 Burgos 041024 León 041034 Palencia 041037 Salamanca 041040 Segovia 041042 Soria 041047 Valladolid 041049 Zamora 042002 Albacete 042013 Ciudad Real 042016 Cuenca 042019 Guadalajara 042045 Toledo 043006 Badajoz 043010 Cáceres 051008 Barcelona 051017 Girona 051025 Lleida 051043 Tarragona 052003 Alicante 052012 Castellón de la Plana 052046 Valencia 053007 Baleares 061004 Almería 061011 Cádiz 061014 Córdoba 061018 Granada 061021 Huelva 061023 Jaén 061029 Málaga 061041 Sevilla 062030 Murcia 063051 Ceuta 064052 Melilla 070035 Palmas 070038 Santa Cruz de Tenerife Geography: O-Z Variables -- HOUSEHOLD Spain, Municipality 1981 - 2011 [Level 3; inconsistent boundaries, harmonized by name] MUNIES identifies the household's municipality within Spain in all sample years. Municipalities are the third level administrative units of the country, after province. MUNIES is harmonized by name and does not account for boundary changes over time. The full set of geography variables for Spain 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. 01036 Llodio 01059 Vitoria-Gasteiz 01999 Other municipalities in Álava province 02003 Albacete 02037 Hellín 02999 Other municipalities in Albacete province 03009 Alcoy/Alcoi 03014 Alicante/Alacant 03031 Benidorm 03063 Dénia 03065 Elche/Elx 03066 Elda 03099 Orihuela 03104 Petrer 03122 San Vicente del Raspeig/Sant Vicent del Raspeig 03133 Torrevieja 03140 Villena 03999 Other municipalities in Alicante/Alacant province 04013 Almería 04079 Roquetas de Mar 04902 Ejido (El) 04999 Other municipalities in Almería province 05019 Ávila 05999 Other municipalities in Ávila province 06011 Almendralejo 06015 Badajoz 06044 Don Benito 06083 Mérida 06999 Other municipalities in Badajoz province 07011 Calvi 07026 Eivissa 07031 Llucmajor 07033 Manacor 07036 Marratxí 07040 Palma de Mallorca 07999 Other municipalities in Balears (Illes) province 08015 Badalona 08019 Barcelona 08056 Castelldefels 08073 Cornell de Llobregat 08077 Esplugues de Llobregat 08089 Gav 08096 Granollers 08101 Hospitalet de Llobregat (L) 08102 Igualada 08113 Manresa 08121 Mataró 08124 Mollet del Vallès 08169 Prat de Llobregat (El) 08180 Ripollet 08184 Rubí 08187 Sabadell 08194 Sant Adri de Besòs 08200 Sant Boi de Llobregat 08205 Sant Cugat del Vallès 08211 Sant Feliu de Llobregat 08217 Sant Joan Despí 08245 Santa Coloma de Gramenet 08252 Barber del Vallès 08263 Sant Vicenç dels Horts 08266 Cerdanyola del Vallès 08279 Terrassa 08298 Vic 08301 Viladecans 08305 Vilafranca del Penedès 08307 Vilanova i la Geltrú 08999 Other municipalities in Barcelona province 09018 Aranda de Duero 09059 Burgos 09219 Miranda de Ebro 09999 Municipalities under 20,000 in Burgos province 10037 Cáceres 10148 Plasencia 10999 Municipalities under 20,000 in Cáceres province 11004 Algeciras 11006 Arcos de la Frontera 11012 Cádiz 11015 Chiclana de la Frontera 11020 Jerez de la Frontera 11022 Línea de la Concepción (La) 11027 Puerto de Santa María (El) 11028 Puerto Real 11031 San Fernando 11032 Sanlúcar de Barrameda 11999 Other municipalities in Cádiz province 12032 Burriana 12040 Castellón de la Plana/Castelló de la Plana 12126 Vall dUixó (la) 12135 Villarreal/Vila-real 12999 Other municipalities in Castellón/Castelló province 13005 Alcázar de San Juan 13034 Ciudad Real 13071 Puertollano 13082 Tomelloso 13087 Valdepeñas 13999 Other municipalities in Ciudad Real province 14021 Córdoba 14038 Lucena 14056 Puente Genil 14999 Other municipalities in Córdoba province 15005 Arteixo 15019 Carballo 15030 Coruña (A) 15031 Culleredo 15036 Ferrol 15054 Narón 15058 Oleiros 15078 Santiago de Compostela 15999 Other municipalities in Coruña (A) province 16078 Cuenca 16999 Other municipalities in Cuenca province 17023 Blanes 17066 Figueres 17079 Girona 17114 Olot 17999 Other municipalities in Girona province 18087 Granada 18089 Guadix 18140 Motril 18999 Other municipalities in Granada province 19046 Azuqueca de Henares 19130 Guadalajara 19999 Other municipalities in Guadalajara province 20045 Irun 20067 Errenteria 20069 Donostia-San Sebastián 20999 Other municipalities in Guipúzcoa province 21041 Huelva 21999 Other municipalities in Huelva province 22125 Huesca 22999 Other municipalities in Huesca province 23005 Andújar 23050 Jaén 23055 Linares 23092 Úbeda 23999 Other municipalities in Jaén province 24089 León 24115 Ponferrada 24142 San Andrés del Rabanedo 24999 Other municipalities in León province 25120 Lleida 25999 Other municipalities in Lleida province 26089 Logroño 26999 Other municipalities in Rioja (La) province 27028 Lugo 27031 Monforte de Lemos 27999 Other municipalities in Lugo province 28005 Alcalá de Henares 28006 Alcobendas 28007 Alcorcón 28013 Aranjuez 28014 Arganda del Rey 28022 Boadilla del Monte 28045 Colmenar Viejo 28047 Collado Villalba 28049 Coslada 28058 Fuenlabrada 28061 Galapagar 28065 Getafe 28074 Leganés 28079 Madrid 28080 Majadahonda 28092 Móstoles 28106 Parla 28113 Pinto 28115 Pozuelo de Alarcón 28123 Rivas-Vaciamadrid 28127 Rozas de Madrid (Las) 28130 San Fernando de Henares 28134 San Sebastián de los Reyes 28148 Torrejón de Ardoz 28161 Valdemoro 28903 Tres Cantos 28999 Other municipalities in Madrid province 29007 Alhaurín de la Torre 29015 Antequera 29025 Benalmádena 29051 Estepona 29054 Fuengirola 29067 Málaga 29069 Marbella 29070 Mijas 29082 Rincón de la Victoria 29084 Ronda 29094 Vélez-Málaga 29901 Torremolinos 29999 Other municipalities in Málaga province 30005 Alcantarilla 30016 Cartagena 30019 Cieza 30024 Lorca 30027 Molina de Segura 30030 Murcia 30037 Torre-Pacheco 30039 Totana 30043 Yecla 30999 Other municipalities in Murcia province 31201 Pamplona/Iruña 31232 Tudela 31999 Other municipalities in Navarra province 32054 Ourense 32999 Other municipalities in Ourense province 33004 Avilés 33024 Gijón 33031 Langreo 33037 Mieres 33044 Oviedo 33060 San Martín del Rey Aurelio 33066 Siero 33999 Other municipalities in Asturias province 34120 Palencia 34999 Other municipalities in Palencia province 35004 Arrecife 35006 Arucas 35016 Palmas de Gran Canaria (Las) 35019 San Bartolomé de Tirajana 35022 Santa Lucía de Tirajana 35026 Telde 35999 Other municipalities in Palmas (Las) province 36038 Pontevedra 36045 Redondela 36057 Vigo 36060 Vilagarcía de Arousa 36999 Other municipalities in Pontevedra province 37274 Salamanca 37999 Other municipalities in Salamanca province 38006 Arona 38023 San Cristóbal de La Laguna 38026 Orotava (La) 38031 Realejos (Los) 38038 Santa Cruz de Tenerife 38999 Other municipalities in Santa Cruz de Tenerife province 39016 Camargo 39075 Santander 39087 Torrelavega 39999 Other municipalities in Cantabria province 40194 Segovia 40999 Other municipalities in Segovia province 41004 Alcalá de Guadaira 41024 Carmona 41038 Dos Hermanas 41039 Écija 41059 Mairena del Aljarafe 41069 Palacios y Villafranca (Los) 41081 Rinconada (La) 41091 Sevilla 41095 Utrera 41999 Other municipalities in Sevilla province 42173 Soria 42999 Other municipalities in Soria province 43123 Reus 43148 Tarragona 43155 Tortosa 43999 Other municipalities in Tarragona province 44216 Teruel 44999 Other municipalities in Teruel province 45165 Talavera de la Reina 45168 Toledo 45999 Other municipalities in Toledo province 46017 Alzira 46078 Burjassot 46110 Xirivella 46131 Gandia 46145 X tiva 46169 Mislata 46184 Ontinyent 46190 Paterna 46220 Sagunto/Sagunt 46244 Torrent 46250 Valencia 46999 Other municipalities in Valencia/València province 47186 Valladolid 47999 Other municipalities in Valladolid province 48013 Barakaldo 48015 Basauri 48020 Bilbao 48027 Durango 48036 Galdakao 48044 Getxo 48054 Leioa 48078 Portugalete 48082 Santurtzi 48084 Sestao 48999 Other municipalities in Vizcaya province 49275 Zamora 49999 Other municipalities in Zamora province 50297 Zaragoza 50999 Other municipalities in Zaragoza province 51001 Ceuta 52001 Melilla 99999 Unknown Geography: O-Z Variables -- HOUSEHOLD Ownership of dwelling [general version] 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. 0 NIU (not in universe) 1 Owned 2 Not owned 9 Unknown Household Economic Variables -- HOUSEHOLD Ownership of dwelling [detailed version] 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. 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 Household Economic Variables -- HOUSEHOLD Electricity ELECTRIC indicates whether the household had access to electricity. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Utilities Variables -- HOUSEHOLD Water supply 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. 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 Utilities Variables -- HOUSEHOLD Hot water heater HOTWATER indicates whether the housing unit had a water heater. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Central heating HEAT indicates the type of heating in the dwelling: individual or collective central heating, non-central heating, or none. 0 NIU (not in universe) 1 No heating 2 Central heating, not specified 3 Collective central heating 4 Individual central heating 5 Other heating, not central 6 Heating, unspecified 7 No central heating/heating unknown 9 Unknown Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Air conditioning This variable indicates whether the household had air conditioning. 00 NIU (not in universe) 10 No air conditioning 20 Yes, air conditioning 21 1 unit or room 22 2 units or rooms 23 3 units or rooms 24 4 units or rooms 25 5 units or rooms 26 6 units or rooms 27 7 units or rooms 28 8 or more units or rooms 29 Central system 99 Unknown Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of rooms ROOMS indicates the number of rooms occupied by the housing unit. 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) Dwelling Characteristics Variables -- HOUSEHOLD Kitchen or cooking facilities KITCHEN indicates whether the household had a kitchen, cooking facilities, or room dedicated to food preparation. 00 NIU (not in universe) 10 No kitchen 11 Food is prepared in a non-kitchen room 13 Does not prepare food in the dwelling 20 Yes, have a kitchen 21 Kitchen located inside the dwelling 22 Indoor kitchen, exclusive use 23 Indoor kitchen, shared use 24 Exclusive use of kitchen (indoor/outdoor status not specified) 25 Shared use of kitchen with another household (indoor/outdoor status not specified) 26 Kitchen located outside the dwelling 27 Outdoor kitchen, exclusive use 28 Outdoor kitchen, shared use 99 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Toilet 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. 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 Dwelling Characteristics Variables -- HOUSEHOLD Bathing facilities BATH indicates whether the household had access to bathing facilities and, in most cases, whether it had exclusive access. 0 NIU (not in universe) 1 No bathing facility 2 Have bathing facility, exclusivity not specified 3 Have bathing facility, exclusive use 4 Have bathing facility, shared use 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Stories in structure STORIES indicates the number of floors or levels in the building containing the responding housing unit. 00 NIU (not in universe) 01 1 story 02 2 stories 03 3 stories 04 4 stories 05 5 stories 06 6 stories 07 7 stories 08 8 stories 09 9 stories 10 10 stories 11 11 stories 12 12 stories 13 13 stories 14 14 stories 15 15 stories 16 16 stories 17 17 stories 18 18 stories 19 19 stories 20 20 stories 21 21 stories 22 22 stories 23 23 stories 24 24 stories 25 25+ stories 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Elevator in structure ELEVATOR indicates whether housing units in the building had access to a passenger elevator. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Living area in square meters LIVEAREA describes the total living area in the dwelling inhabited by the household. LIVEAREA is a 3-digit numeric variable. Codes000 = NIU (not in universe) 999 = Unknown Top codes:Unless otherwise specified: 998+ Austria 1991-2001: 150+ Belarus 1999: 201+ Belarus 2009: 250+ Germany 1987: 361+ Hungary 2001: 260+ Hungary 2011: 301+ Iran 2006: 501+ Italy 2001: 150+ Italy 2011: 145+ Laos 2005: 200+ Philippines 1990-2010: 200+ Poland 2002: 200+ Romania 2002: 221+ Romania 2011: 500+ Slovenia 2002: 101+ Spain 1991: 181+ Spain 2001-2011: 900+ Switzerland 1980-1990: 400+ Switzerland 2000: 500+ Dwelling Characteristics Variables -- HOUSEHOLD Household classification 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. 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 Constructed Household Variables -- HOUSEHOLD Number of families in household 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. 0 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 Constructed Household Variables -- HOUSEHOLD Number of married couples in household 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). 0 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 Constructed Household Variables -- HOUSEHOLD Number of 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). 0 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 Constructed Household Variables -- HOUSEHOLD Number of 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). 0 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 Constructed Household Variables -- HOUSEHOLD 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. Constructed Household Variables -- HOUSEHOLD Dwelling number <svar a="all" v="ES91A001 ES91A002 ES91A004 ES91A005 ES91A023 ES91A024 ES91A025 ES91A026 ES91A027">Persons in the Dwelling ___ Residents Present [] M [] F Absent [] M [] F Temporary residents [] M [] F _ _ District _ _ _ Section _ _ _ Block _ _ _ _ Building number _ _ _ _ Dwelling number _ Number of households in the dwelling _ Household number _ Number of questionnaires for the household _ Questionnaire number </svar> Spain 1991: All households This variable indicates the dwelling number. This is a 6-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Household number (within dwelling) <svar a="all" v="ES91A001 ES91A002 ES91A004 ES91A005 ES91A023 ES91A024 ES91A025 ES91A026 ES91A027">Persons in the Dwelling ___ Residents Present [] M [] F Absent [] M [] F Temporary residents [] M [] F _ _ District _ _ _ Section _ _ _ Block _ _ _ _ Building number _ _ _ _ Dwelling number _ Number of households in the dwelling _ Household number _ Number of questionnaires for the household _ Questionnaire number </svar> Spain 1991: All households This variable indicates the household number within the dwelling. 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 Technical Household Variables -- HOUSEHOLD Number of households in dwelling <svar a="all" v="ES91A001 ES91A002 ES91A004 ES91A005 ES91A023 ES91A024 ES91A025 ES91A026 ES91A027">Persons in the Dwelling ___ Residents Present [] M [] F Absent [] M [] F Temporary residents [] M [] F _ _ District _ _ _ Section _ _ _ Block _ _ _ _ Building number _ _ _ _ Dwelling number _ Number of households in the dwelling _ Household number _ Number of questionnaires for the household _ Questionnaire number </svar> Spain 1991: All households This variable indicates the number of households in the dwelling. 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 Technical Household Variables -- HOUSEHOLD Number of persons in dwelling <svar a="all" v="ES91A001 ES91A002 ES91A004 ES91A005 ES91A023 ES91A024 ES91A025 ES91A026 ES91A027">Persons in the Dwelling ___ Residents Present [] M [] F Absent [] M [] F Temporary residents [] M [] F _ _ District _ _ _ Section _ _ _ Block _ _ _ _ Building number _ _ _ _ Dwelling number _ Number of households in the dwelling _ Household number _ Number of questionnaires for the household _ Questionnaire number </svar> Spain 1991: All households This variable indicates the number of persons in the dwelling. 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 22 22 24 24 27 27 Constructed Household Variables -- HOUSEHOLD Number of persons in household <svar a="all" v="ES91A003 ES91A006 ES91A400">Table: List of Persons Line number / Name / Last Names Person number 1 (householder) ___ / ___ Person number [2 - 15] ___ / ___ </svar> Spain 1991: All households This variable indicates the number of persons in the household. 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 22 22 Constructed Household Variables -- HOUSEHOLD Number of households in the dwelling <svar a="all" v="ES91A022">1. Information about the building where the housing unit is located How many housing units are in the building? <div class="i1">[] 1 One housing unit [] 2 Two housing units [] 3 Three or more housing units _ _ _ _ Approximate year of construction</div> </svar> Spain 1991: All households This variable indicates the number of households in the dwelling. 1 1 household 2 2 3 3 4 4 5 5 6 6 7 7 8 8 Technical Household Variables -- HOUSEHOLD Household number within dwelling <svar a="all" v="ES91A001 ES91A002 ES91A004 ES91A005 ES91A023 ES91A024 ES91A025 ES91A026 ES91A027">Persons in the Dwelling ___ Residents Present [] M [] F Absent [] M [] F Temporary residents [] M [] F _ _ District _ _ _ Section _ _ _ Block _ _ _ _ Building number _ _ _ _ Dwelling number _ Number of households in the dwelling _ Household number _ Number of questionnaires for the household _ Questionnaire number </svar> Spain 1991: All households This variable indicates the household number within the dwelling. 1 1st household 2 2nd 3 3rd 4 4th 5 5th 6 6th 7 7th 8 8th Technical Household Variables -- HOUSEHOLD Men present in the houshold <svar a="all" v="ES91A001 ES91A002 ES91A004 ES91A005 ES91A023 ES91A024 ES91A025 ES91A026 ES91A027">Persons in the Dwelling ___ Residents Present [] M [] F Absent [] M [] F Temporary residents [] M [] F _ _ District _ _ _ Section _ _ _ Block _ _ _ _ Building number _ _ _ _ Dwelling number _ Number of households in the dwelling _ Household number _ Number of questionnaires for the household _ Questionnaire number </svar> Spain 1991: All households This variable indicates the number of males present in the dwelling. 00 No men present 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 Other Household Variables -- HOUSEHOLD Women present in the dwelling <svar a="all" v="ES91A001 ES91A002 ES91A004 ES91A005 ES91A023 ES91A024 ES91A025 ES91A026 ES91A027">Persons in the Dwelling ___ Residents Present [] M [] F Absent [] M [] F Temporary residents [] M [] F _ _ District _ _ _ Section _ _ _ Block _ _ _ _ Building number _ _ _ _ Dwelling number _ Number of households in the dwelling _ Household number _ Number of questionnaires for the household _ Questionnaire number </svar> Spain 1991: All households This variable indicates the number of females present in the dwelling. 00 No women present 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 Other Household Variables -- HOUSEHOLD Men absent from the dwelling <svar a="all" v="ES91A001 ES91A002 ES91A004 ES91A005 ES91A023 ES91A024 ES91A025 ES91A026 ES91A027">Persons in the Dwelling ___ Residents Present [] M [] F Absent [] M [] F Temporary residents [] M [] F _ _ District _ _ _ Section _ _ _ Block _ _ _ _ Building number _ _ _ _ Dwelling number _ Number of households in the dwelling _ Household number _ Number of questionnaires for the household _ Questionnaire number </svar> Spain 1991: All households This variable indicates the number of males absent from the dwelling. 00 No men absent 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 Other Household Variables -- HOUSEHOLD Women absent from the dwelling <svar a="all" v="ES91A001 ES91A002 ES91A004 ES91A005 ES91A023 ES91A024 ES91A025 ES91A026 ES91A027">Persons in the Dwelling ___ Residents Present [] M [] F Absent [] M [] F Temporary residents [] M [] F _ _ District _ _ _ Section _ _ _ Block _ _ _ _ Building number _ _ _ _ Dwelling number _ Number of households in the dwelling _ Household number _ Number of questionnaires for the household _ Questionnaire number </svar> Spain 1991: All households This variable indicates the number of women absent from the dwelling. 0 No women absent 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 Other Household Variables -- HOUSEHOLD Condition of ownership <svar a="all" v="ES91A028 ES91A041">3. Tenure <div class="i1">Owned [] 1 Purchased, totally paid for (owned free and clear) [] 2 Purchased, under mortgage [] 3 Inherited or donated Provided free or almost free [] 4 By an employer, organization, or business, for work-related reasons [] 5 By other persons, households, or institutions Rented [] 6 Furnished [] 7 Unfurnished Other form [] 8 Other form (specify) ___</div> </svar> Spain 1991: All households This variable indicates the condition of ownership of the dwelling. 1 Owned through purchase, totally paid for 2 Owned through purchase, with payments remaining (mortgage) 3 Owned through inheritance or donation 4 Provided free or at low cost by employers, organizations or business for reasons related to employment 5 Provided free or at low cost by other persons, households, or institutions 6 Rented unfurnished 7 Rented furnished 8 Other form 9 Lodging Household Economic Variables -- HOUSEHOLD Floorspace in dwelling Spain 1991: All dwellings except lodging [discrepancies: none] This variable indicates the floorspace of the dwelling. 01 4-30 sq.mtrs. 02 31-60 sq.mtrs. 03 61-70 sq.mtrs. 04 71-80 sq.mtrs. 05 81-90 sq.mtrs. 06 91-100 sq.mtrs. 07 101-120 sq.mtrs. 08 121-150 sq.mtrs. 09 151-180 sq.mtrs. 10 181+ sq.mtrs. 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of rooms in the dwelling <svar a="all" v="ES91A030">5. Number of rooms <div class="i1">1. How many total rooms are there in the building? (Include the kitchen if it is larger than 4 square meters. Do not include bathrooms, washrooms, toilets, vestibules, corridors, or open galleries.) _ _ 2. How many of these rooms are used exclusively for professional, commercial, or other non-domestic uses? (For example: for offices, workshops, medical offices, agencies, etc.) _ _</div> </svar> Spain 1991: All dwellings except lodging [discrepancies: none] This variable indicates whether the number of rooms in the dwelling. 1 1 room 2 2 3 3 4 4 5 5 6 6 7 7 to 9 8 10+ 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Running water <svar a="all" v="ES91A031 ES91A032 ES91A033 ES91A034 ES91A035 ES91A036 ES91A037">6. Services and amenities in the housing unit: (For each of the services or amenities listed, mark the appropriate option with an X.) <div class="i1">1. Running water [] 1 With running water inside the housing unit [] 2 Without running water inside the housing unit, but with running water in the building [] 3 Without running water inside the housing unit, and without running water in the building 2. Hot water [] 1 Yes, the housing unit has hot water [] 6 No, the housing unit does not have hot water 3. Air conditioning [] 1 Yes, the housing unit has air conditioning [] 6 No, the housing unit does not have air conditioning 4. Kitchen [] 1 Yes, the housing unit has a kitchen [] 6 No, the housing unit does not have a kitchen 5. Electricity [] 1 Yes, the housing unit has electricity [] 6 No, the housing unit does not have electricity 6. Gas distributed through pipes (city gas, natural gas, propane) [] 1 Yes, the housing unit has piped gas [] 6 No, the housing unit does not have piped gas 7. Telephone [] 1 Yes, the housing unit has a telephone [] 6 No, the housing unit does not have a telephone 8. Heat [] 1 The building has central heating [] 2 The housing unit has a separate heating system [] 3 The housing unit does not have a heating system, but the residents own a mobile or non-mobile appliance that allows them to raise the temperature in one or all of the rooms (include portable electric radiators) [] 6 The housing unit does not have heat</div> </svar> Spain 1991: All dwellings except lodging [discrepancies: none] This variable indicates whether the dwelling has running water. 1 With running water inside the dwelling 2 Without running water inside the dwelling, but with running water inside the building 3 Without running water in the dwelling or the building 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Hot water <svar a="all" v="ES91A031 ES91A032 ES91A033 ES91A034 ES91A035 ES91A036 ES91A037">6. Services and amenities in the housing unit: (For each of the services or amenities listed, mark the appropriate option with an X.) <div class="i1">1. Running water [] 1 With running water inside the housing unit [] 2 Without running water inside the housing unit, but with running water in the building [] 3 Without running water inside the housing unit, and without running water in the building 2. Hot water [] 1 Yes, the housing unit has hot water [] 6 No, the housing unit does not have hot water 3. Air conditioning [] 1 Yes, the housing unit has air conditioning [] 6 No, the housing unit does not have air conditioning 4. Kitchen [] 1 Yes, the housing unit has a kitchen [] 6 No, the housing unit does not have a kitchen 5. Electricity [] 1 Yes, the housing unit has electricity [] 6 No, the housing unit does not have electricity 6. Gas distributed through pipes (city gas, natural gas, propane) [] 1 Yes, the housing unit has piped gas [] 6 No, the housing unit does not have piped gas 7. Telephone [] 1 Yes, the housing unit has a telephone [] 6 No, the housing unit does not have a telephone 8. Heat [] 1 The building has central heating [] 2 The housing unit has a separate heating system [] 3 The housing unit does not have a heating system, but the residents own a mobile or non-mobile appliance that allows them to raise the temperature in one or all of the rooms (include portable electric radiators) [] 6 The housing unit does not have heat</div> </svar> Spain 1991: All dwellings except lodging [discrepancies: none] This variable indicates whether the dwelling has hot water. 1 Yes, there is hot water 2 No, there is no hot water 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Air conditioning <svar a="all" v="ES91A031 ES91A032 ES91A033 ES91A034 ES91A035 ES91A036 ES91A037">6. Services and amenities in the housing unit: (For each of the services or amenities listed, mark the appropriate option with an X.) <div class="i1">1. Running water [] 1 With running water inside the housing unit [] 2 Without running water inside the housing unit, but with running water in the building [] 3 Without running water inside the housing unit, and without running water in the building 2. Hot water [] 1 Yes, the housing unit has hot water [] 6 No, the housing unit does not have hot water 3. Air conditioning [] 1 Yes, the housing unit has air conditioning [] 6 No, the housing unit does not have air conditioning 4. Kitchen [] 1 Yes, the housing unit has a kitchen [] 6 No, the housing unit does not have a kitchen 5. Electricity [] 1 Yes, the housing unit has electricity [] 6 No, the housing unit does not have electricity 6. Gas distributed through pipes (city gas, natural gas, propane) [] 1 Yes, the housing unit has piped gas [] 6 No, the housing unit does not have piped gas 7. Telephone [] 1 Yes, the housing unit has a telephone [] 6 No, the housing unit does not have a telephone 8. Heat [] 1 The building has central heating [] 2 The housing unit has a separate heating system [] 3 The housing unit does not have a heating system, but the residents own a mobile or non-mobile appliance that allows them to raise the temperature in one or all of the rooms (include portable electric radiators) [] 6 The housing unit does not have heat</div> </svar> Spain 1991: All dwellings except lodging [discrepancies: none] This variable indicates the presence of air conditioning in the dwelling. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Kitchen <svar a="all" v="ES91A031 ES91A032 ES91A033 ES91A034 ES91A035 ES91A036 ES91A037">6. Services and amenities in the housing unit: (For each of the services or amenities listed, mark the appropriate option with an X.) <div class="i1">1. Running water [] 1 With running water inside the housing unit [] 2 Without running water inside the housing unit, but with running water in the building [] 3 Without running water inside the housing unit, and without running water in the building 2. Hot water [] 1 Yes, the housing unit has hot water [] 6 No, the housing unit does not have hot water 3. Air conditioning [] 1 Yes, the housing unit has air conditioning [] 6 No, the housing unit does not have air conditioning 4. Kitchen [] 1 Yes, the housing unit has a kitchen [] 6 No, the housing unit does not have a kitchen 5. Electricity [] 1 Yes, the housing unit has electricity [] 6 No, the housing unit does not have electricity 6. Gas distributed through pipes (city gas, natural gas, propane) [] 1 Yes, the housing unit has piped gas [] 6 No, the housing unit does not have piped gas 7. Telephone [] 1 Yes, the housing unit has a telephone [] 6 No, the housing unit does not have a telephone 8. Heat [] 1 The building has central heating [] 2 The housing unit has a separate heating system [] 3 The housing unit does not have a heating system, but the residents own a mobile or non-mobile appliance that allows them to raise the temperature in one or all of the rooms (include portable electric radiators) [] 6 The housing unit does not have heat</div> </svar> Spain 1991: All dwellings except lodging [discrepancies: none] This variable indicates whether the dwelling has a kitchen. 1 Yes, there is a kitchen 2 No, there is no kitchen 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Electrical energy <svar a="all" v="ES91A031 ES91A032 ES91A033 ES91A034 ES91A035 ES91A036 ES91A037">6. Services and amenities in the housing unit: (For each of the services or amenities listed, mark the appropriate option with an X.) <div class="i1">1. Running water [] 1 With running water inside the housing unit [] 2 Without running water inside the housing unit, but with running water in the building [] 3 Without running water inside the housing unit, and without running water in the building 2. Hot water [] 1 Yes, the housing unit has hot water [] 6 No, the housing unit does not have hot water 3. Air conditioning [] 1 Yes, the housing unit has air conditioning [] 6 No, the housing unit does not have air conditioning 4. Kitchen [] 1 Yes, the housing unit has a kitchen [] 6 No, the housing unit does not have a kitchen 5. Electricity [] 1 Yes, the housing unit has electricity [] 6 No, the housing unit does not have electricity 6. Gas distributed through pipes (city gas, natural gas, propane) [] 1 Yes, the housing unit has piped gas [] 6 No, the housing unit does not have piped gas 7. Telephone [] 1 Yes, the housing unit has a telephone [] 6 No, the housing unit does not have a telephone 8. Heat [] 1 The building has central heating [] 2 The housing unit has a separate heating system [] 3 The housing unit does not have a heating system, but the residents own a mobile or non-mobile appliance that allows them to raise the temperature in one or all of the rooms (include portable electric radiators) [] 6 The housing unit does not have heat</div> </svar> Spain 1991: All dwellings except lodging [discrepancies: none] This variable indicates whether the dwelling has access to electric energy. 1 Yes, there is electrical energy 2 No, there is no electrical energy 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Gas <svar a="all" v="ES91A031 ES91A032 ES91A033 ES91A034 ES91A035 ES91A036 ES91A037">6. Services and amenities in the housing unit: (For each of the services or amenities listed, mark the appropriate option with an X.) <div class="i1">1. Running water [] 1 With running water inside the housing unit [] 2 Without running water inside the housing unit, but with running water in the building [] 3 Without running water inside the housing unit, and without running water in the building 2. Hot water [] 1 Yes, the housing unit has hot water [] 6 No, the housing unit does not have hot water 3. Air conditioning [] 1 Yes, the housing unit has air conditioning [] 6 No, the housing unit does not have air conditioning 4. Kitchen [] 1 Yes, the housing unit has a kitchen [] 6 No, the housing unit does not have a kitchen 5. Electricity [] 1 Yes, the housing unit has electricity [] 6 No, the housing unit does not have electricity 6. Gas distributed through pipes (city gas, natural gas, propane) [] 1 Yes, the housing unit has piped gas [] 6 No, the housing unit does not have piped gas 7. Telephone [] 1 Yes, the housing unit has a telephone [] 6 No, the housing unit does not have a telephone 8. Heat [] 1 The building has central heating [] 2 The housing unit has a separate heating system [] 3 The housing unit does not have a heating system, but the residents own a mobile or non-mobile appliance that allows them to raise the temperature in one or all of the rooms (include portable electric radiators) [] 6 The housing unit does not have heat</div> </svar> Spain 1991: All dwellings except lodging [discrepancies: none] This variable indicates whether the dwelling has access to gas. 1 Yes, there is gas 2 No, there is no gas 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Heat <svar a="all" v="ES91A031 ES91A032 ES91A033 ES91A034 ES91A035 ES91A036 ES91A037">6. Services and amenities in the housing unit: (For each of the services or amenities listed, mark the appropriate option with an X.) <div class="i1">1. Running water [] 1 With running water inside the housing unit [] 2 Without running water inside the housing unit, but with running water in the building [] 3 Without running water inside the housing unit, and without running water in the building 2. Hot water [] 1 Yes, the housing unit has hot water [] 6 No, the housing unit does not have hot water 3. Air conditioning [] 1 Yes, the housing unit has air conditioning [] 6 No, the housing unit does not have air conditioning 4. Kitchen [] 1 Yes, the housing unit has a kitchen [] 6 No, the housing unit does not have a kitchen 5. Electricity [] 1 Yes, the housing unit has electricity [] 6 No, the housing unit does not have electricity 6. Gas distributed through pipes (city gas, natural gas, propane) [] 1 Yes, the housing unit has piped gas [] 6 No, the housing unit does not have piped gas 7. Telephone [] 1 Yes, the housing unit has a telephone [] 6 No, the housing unit does not have a telephone 8. Heat [] 1 The building has central heating [] 2 The housing unit has a separate heating system [] 3 The housing unit does not have a heating system, but the residents own a mobile or non-mobile appliance that allows them to raise the temperature in one or all of the rooms (include portable electric radiators) [] 6 The housing unit does not have heat</div> </svar> Spain 1991: All dwellings except lodging [discrepancies: none] This variable indicates the type of heating in the dwelling. 1 Collective heating 2 Individual heating 3 No central heating, but there is a mobile or non-mobile heating appliance 4 No heat 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Toilet <svar a="all" v="ES91A038">10. Toilet <div class="i1">[] 1 Toilet inside the housing unit. _ _ Number [] 2 There is no toilet inside the housing unit, but there is a toilet outside the housing unit. [] 3 No toilet.</div> </svar> Spain 1991: All dwellings except lodging [discrepancies: none] This variable indicates whether the dwelling has a toilet. 1 Yes, there is a toilet inside the dwelling 2 There is a toilet outside the dwelling 3 No, there is no toilet 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Bathtub or shower <svar a="all" v="ES91A039">11. Permanently installed bathtub or shower inside the housing unit <div class="i1">[] 1 Bathtub or shower inside the housing unit _ _ Number [] 6 None</div> </svar> Spain 1991: All dwellings except lodging [discrepancies: none] This variable indicates whether the dwelling has a bathtub or shower. 1 Yes, there is a bathtub or shower 2 No, there is no bathtub or shower 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of floors in the building Spain 1991: Dwellings with building information [discrepancies: type I 0.2%, type II none] This variable indicates the number of floors in the building. 00 NIU (not in universe) 01 1 floor 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 + Dwelling Characteristics Variables -- HOUSEHOLD Type of building owner <svar a="all" v="ES91A028 ES91A041">3. Tenure <div class="i1">Owned [] 1 Purchased, totally paid for (owned free and clear) [] 2 Purchased, under mortgage [] 3 Inherited or donated Provided free or almost free [] 4 By an employer, organization, or business, for work-related reasons [] 5 By other persons, households, or institutions Rented [] 6 Furnished [] 7 Unfurnished Other form [] 8 Other form (specify) ___</div> </svar> Spain 1991: Dwellings with building information [non verifiable] This variable indicates the type of the building owner. 1 Public organization 2 Private not-for-profit institutions 3 Community owners 4 Society 5 Person 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD State of the building Spain 1991: Dwellings with building information [discrepancies: none] This variable indicates the state (condition) of the building where the dwelling is located. 1 Ruinous 2 Bad 3 Deficient 4 Good 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Elevator Spain 1991: Dwellings with building information [discrepancies: none] This variable indicates if the building where the dwelling is located has an elevator. 1 Yes, there is an elevator 2 No, there is no elevator 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Garage <svar a="all" v="ES91A029">4. Size of dwelling <div class="i1">Approximate useable floor-space, in square meters, contained inside the exterior walls of the dwelling. _ _ _ _</div> </svar> Spain 1991: Dwellings with building information [discrepancies: none] This variable indicates if the dwelling has a garage. 1 Yes, there is a garage 2 No, there is no garage 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Size of municipality of residency on March 1, 1991 Spain 1991: All households This variable indicates the size of municipality of residency on March 1, 1991. 01 Up to 100 inhabitants 02 101 to 200 03 201 to 500 04 501 to 1000 05 1001 to 2000 06 2001 to 3000 07 3001 to 5000 08 5001 to10,000 09 10,001 to 20,000 10 20,001 to 30,000 11 30,001 to 50,000 12 50,001 to 75,000 13 75,001 to 100,000 14 100,001 to 250,000 15 250,001 to 500,000 16 500,001 to 1,000,000 17 1,000,000 + Geography: O-Z Variables -- HOUSEHOLD Household weight Spain 1991: All households This variable indicates household weight in the sample. This is a 7-digit numeric variable with 4 implied decimal places Technical Household Variables -- HOUSEHOLD Strata Spain 1991: 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 Geography: O-Z Variables -- HOUSEHOLD 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. Technical Person Variables -- PERSON 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. Technical Person Variables -- PERSON 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 Constructed Family Interrelationship Variables -- PERSON 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 Constructed Family Interrelationship Variables -- PERSON 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 Constructed Family Interrelationship Variables -- PERSON Rule for linking parent 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. 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 Constructed Family Interrelationship Variables -- PERSON Rule for linking spouse 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. 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) Constructed Family Interrelationship Variables -- PERSON Probable stepmother 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. 0 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 Constructed Family Interrelationship Variables -- PERSON Probable stepfather 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. 0 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 Constructed Family Interrelationship Variables -- PERSON Man with more than one wife linked 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. 0 No more than one wife linked via SPLOC 1 More than one wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Woman is second or higher order wife 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. 0 Person is not the 2nd or higher order wife linked via SPLOC 1 Person is the 2nd or higher order wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON 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. Constructed Family Interrelationship Variables -- PERSON Number of own family members in household 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). 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 Constructed Family Interrelationship Variables -- PERSON Number of own 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. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more children in household Constructed Family Interrelationship Variables -- PERSON Number of own children under age 5 in household 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. 00 0 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 Constructed Family Interrelationship Variables -- PERSON Age of eldest 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. 00 0 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 Constructed Family Interrelationship Variables -- PERSON Age of youngest 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. 00 0 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 Constructed Family Interrelationship Variables -- PERSON Relationship to household head [general version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown Demographic Variables -- PERSON Relationship to household head [detailed version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 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 Demographic Variables -- PERSON Relationship to head, Europe ERELATE describes for the European samples the relationship of the individual to the head of household -- sometimes called the householder or reference person. ERELATE has been classified according to the recommendations of the Conference of European Statisticians for the 2010 Population and Housing Censuses. 10 Reference person / Head 20 Spouse or partner 21 Husband or wife 22 Partner in consensual union 30 Child/child-in-law of head or of spouse/partner 31 Spouse or partner of child of head 40 Parent of head, of spouse, or of partner 50 Other relative of head, spouse, or partner 60 Non-relative of head 61 Foster child 62 Boarder 63 Domestic servant 64 Other 99 Not stated / unknown Demographic Variables -- PERSON Age AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. 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 Demographic Variables -- PERSON Age, grouped into intervals AGE2 gives computed years of 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 Demographic Variables -- PERSON Sex SEX reports the sex (gender) of the respondent. 1 Male 2 Female 9 Unknown Demographic Variables -- PERSON Marital status [general version] 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. 0 NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing Demographic Variables -- PERSON Marital status [detailed version] 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. 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 Demographic Variables -- PERSON Marital status, Europe EMARST describes for the European samples the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. European census instructions generally limit marital status to legal unions, but there are exceptions. EMARST has been classified according to the recommendations given by the Conference of European Statisticians for the 2010 Population and Housing Censuses. 0 NIU (not in universe) 1 Never married 2 Married 3 Widowed and not remarried 4 Divorced/separated and not remarried 5 Widowed or divorced 9 Unknown / missing Demographic Variables -- PERSON Year of first marriage, categorized MARRYR2 reports the year of the respondent's first marriage categorized into ranges. 01 Before 1951 02 1951-1960 03 1961-1965 04 1966-1970 05 1971-1975 06 1976-1980 07 1981-1985 08 1986 09 1987 10 1988 11 1989 12 1990-1991 20 1880-1889 21 1890-1899 22 1900-1909 23 1910-1919 24 1920-1929 25 1930-1939 26 1940-1949 27 1950-1959 28 1960-1969 29 1970-1972 30 Before 1924 31 1924-1928 32 1929-1933 33 1934-1938 34 1939-1943 35 1944-1948 36 1949-1953 37 1954-1958 38 1959-1963 39 1964-1968 40 1969-1973 41 1974-1978 42 1979-1983 50 Before 1949 51 52 53 1974-1978 54 1979-1983 55 1984-1989 56 1990+ 60 Before 1949 61 1949-1963 62 1964-1973 63 1974-1983 64 1984-1993 65 1994-2003 66 2004+ 98 Unknown 99 NIU (not in universe) Demographic Variables -- PERSON Year of birth BIRTHYR gives the person's year of birth. 0000 NIU (not in universe) 1628 1628 1629 1629 1630 1630 1631 1631 1634 1634 1635 1635 1636 1636 1637 1637 1638 1638 1639 1639 1640 1640 1641 1641 1642 1642 1643 1643 1644 1644 1645 1645 1646 1646 1647 1647 1648 1648 1649 1649 1650 1650 1651 1651 1652 1652 1653 1653 1654 1654 1655 1655 1656 1656 1657 1657 1658 1658 1659 1659 1660 1660 1661 1661 1662 1662 1663 1663 1664 1664 1665 1665 1666 1666 1667 1667 1668 1668 1669 1669 1670 1670 1671 1671 1672 1672 1673 1673 1674 1674 1675 1675 1676 1676 1677 1677 1678 1678 1679 1679 1680 1680 1681 1681 1682 1682 1683 1683 1684 1684 1685 1685 1686 1686 1687 1687 1688 1688 1689 1689 1690 1690 1691 1691 1692 1692 1693 1693 1694 1694 1695 1695 1696 1696 1697 1697 1698 1698 1699 1699 1700 1700 1701 1701 1702 1702 1703 1703 1704 1704 1705 1705 1706 1706 1707 1707 1708 1708 1709 1709 1710 1710 1711 1711 1712 1712 1713 1713 1714 1714 1715 1715 1716 1716 1717 1717 1718 1718 1719 1719 1720 1720 1721 1721 1722 1722 1723 1723 1724 1724 1725 1725 1726 1726 1727 1727 1728 1728 1729 1729 1730 1730 1731 1731 1732 1732 1733 1733 1734 1734 1735 1735 1736 1736 1737 1737 1738 1738 1739 1739 1740 1740 1741 1741 1742 1742 1743 1743 1744 1744 1745 1745 1746 1746 1747 1747 1748 1748 1749 1749 1750 1750 1751 1751 1752 1752 1753 1753 1754 1754 1755 1755 1756 1756 1757 1757 1758 1758 1759 1759 1760 1760 1761 1761 1762 1762 1763 1763 1764 1764 1765 1765 1766 1766 1767 1767 1768 1768 1769 1769 1770 1770 1771 1771 1772 1772 1773 1773 1774 1774 1775 1775 1776 1776 1777 1777 1778 1778 1779 1779 1780 1780 1781 1781 1782 1782 1783 1783 1784 1784 1785 1785 1786 1786 1787 1787 1788 1788 1789 1789 1790 1790 1791 1791 1792 1792 1793 1793 1794 1794 1795 1795 1796 1796 1797 1797 1798 1798 1799 1799 1800 1800 1801 1801 1802 1802 1803 1803 1804 1804 1805 1805 1806 1806 1807 1807 1808 1808 1809 1809 1810 1810 1811 1811 1812 1812 1813 1813 1814 1814 1815 1815 1816 1816 1817 1817 1818 1818 1819 1819 1820 1820 1821 1821 1822 1822 1823 1823 1824 1824 1825 1825 1826 1826 1827 1827 1828 1828 1829 1829 1830 1830 1831 1831 1832 1832 1833 1833 1834 1834 1835 1835 1836 1836 1837 1837 1838 1838 1839 1839 1840 1840 1841 1841 1842 1842 1843 1843 1844 1844 1845 1845 1846 1846 1847 1847 1848 1848 1849 1849 1850 1850 1851 1851 1852 1852 1853 1853 1854 1854 1855 1855 1856 1856 1857 1857 1858 1858 1859 1859 1860 1860 1861 1861 1862 1862 1863 1863 1864 1864 1865 1865 1866 1866 1867 1867 1868 1868 1869 1869 1870 1870 1871 1871 1872 1872 1873 1873 1874 1874 1875 1875 1876 1876 1877 1877 1878 1878 1879 1879 1880 1880 1881 1881 1882 1882 1883 1883 1884 1884 1885 1885 1886 1886 1887 1887 1888 1888 1889 1889 1890 1890 1891 1891 1892 1892 1893 1893 1894 1894 1895 1895 1896 1896 1897 1897 1898 1898 1899 1899 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 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 1988 1988 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 9999 Unknown Demographic Variables -- PERSON Children ever born 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. 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) Fertility and Mortality Variables -- PERSON Nativity status NATIVITY indicates whether the person was native-born or foreign-born. 0 NIU (not in universe) 1 Native-born 2 Foreign-born 9 Unknown/missing Nativity and Birthplace Variables -- PERSON Citizenship CITIZEN indicates the person's citizenship status within the country in which they were enumerated. 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) Nativity and Birthplace Variables -- PERSON Country of citizenship NATION indicates the person's 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 Nativity and Birthplace Variables -- PERSON Year of immigration, categorized YRIMM2 indicates the calendar year that a foreign-born person came to live in their country of residence, categorized into intervals. 000 NIU (not in universe) 001 1885 to 1889 002 1890 to 1894 003 1895 to 1899 004 1900 to 1904 005 1900 to 1917 006 1905 to 1909 007 1910 to 1914 008 1915 to 1919 009 Before 1918 010 1918 to 1944 011 1920 to 1924 012 1925 to 1929 013 1930 to 1934 014 Before 1931 015 1931 to 1940 016 1935 to 1939 017 Before 1943 018 1940 to 1944 019 1941 to 1950 020 Before 1946 021 1943 to 1946 022 1945 to 1949 023 1945 to 1961 024 1946 to 1955 025 1946 to 1960 026 1947 to 1953 027 Before 1948 028 1948 to 1955 029 1948 to 1964 030 Before 1950 031 Before 1951 032 1950 to 1954 033 1950 to 1959 034 1951 to 1960 035 1954 to 1958 036 1955 to 1959 037 1955 to 1960 038 1959 to 1960 039 Before 1960 040 Before 1961 041 1960 to 1964 042 1961 to 1963 043 1961 to 1964 044 1961 to 1970 045 1961 to 1971 046 1962 to 1974 047 1964 to 1965 048 1964 to 1966 049 1965 to 1969 050 1965 to 1971 051 1965 052 1966 053 1966 to 1968 054 1967 to 1969 055 1967 056 1968 057 1969 058 1969 to 1970 059 1970 to 1971 060 1970 to 1972 061 1970 to 1974 062 1970 063 1971 to 1980 064 1971 065 1972 to 1974 066 1972 to 1979 067 1972 to 1983 068 1975 to 1979 069 1975 to 1980 070 1975 to 1981 071 1980 to 1981 072 1980 to 1989 073 1981 to 1985 074 1981 to 1986 075 1981 to 1990 076 1982 to 1984 077 1982 to 1989 078 1985 to 1986 079 1986 080 1986 to 1991 081 1987 082 1987 to 1990 083 1988 084 1989 085 1990 to 1991 086 1990 to 1998 087 1991 to 1994 088 1991 to 1995 089 1991 to 1996 090 1991 to 2000 091 1992 to 1995 092 1992 to 2008 093 1995 to 1998 094 1996 to 2002 095 1999 to 2001 096 1999 to 2006 097 1999 to 2011 098 2001 to 2006 099 2001 to 2011 998 Unknown Nativity and Birthplace Variables -- PERSON Province of birth, Spain BPLES indicates the province in Spain in which the person was born. 01 Araba 02 Albacete 03 Alicante/Alacant 04 Almería 05 Ávila 06 Badajoz 07 Balears (Illes) 08 Barcelona 09 Burgos 10 Cáceres 11 Cádiz 12 Castellón/Castelló 13 Ciudad Real 14 Córdoba 15 Coruña (A) 16 Cuenca 17 Girona 18 Granada 19 Guadalajara 20 Guipúzcoa 21 Huelva 22 Huesca 23 Jaén 24 León 25 Lleida 26 Rioja (La) 27 Lugo 28 Madrid 29 Málaga 30 Murcia 31 Navarra 32 Ourense 33 Asturias 34 Palencia 35 Palmas (Las) 36 Pontevedra 37 Salamanca 38 Santa Cruz de Tenerife 39 Cantabria 40 Segovia 41 Sevilla 42 Soria 43 Tarragona 44 Teruel 45 Toledo 46 Valencia/València 47 Valladolid 48 Vizcaya 49 Zamora 50 Zaragoza 51 Ceuta 52 Melilla 53 Ceuta, Melilla and other Spanish territories 59 Born in Spain, municipality unknown 97 Abroad 98 Unknown Nativity and Birthplace Variables -- PERSON Region of birth, Europe, NUTS1 EBPLNT1 indicates the NUTS1 region in which the person was born. The Nomenclature of Territorial Units for Statistics (NUTS) is a standard administrative division of the European Union, and was developed by the EU. The European Free Trade Association extends the NUTS system to several additional countries outside of the EU, and they are also incorporated into this variable. NUTS1 identifies the largest territorial units within countries. EBPLNT1 only identifies regions within the person's country of residence; it does not identify birthplaces of international migrants. The code labels include the standard code for the NUTS1 system and the name of the NUTS1 region, separated by a slash. 0000 NIU (not in universe) 0901 ES1 / Noroeste 0902 ES2 / Noreste 0903 ES3 / Comunidad de Madrid 0904 ES4 / Centro (E) 0905 ES5 / Este 0906 ES6 / Sur 0907 ES7 / Canarias 0908 ES6 / Sur + Other Spanish territories 1101 FR1 / Île de France 1102 FR2 / Bassin Parisien 1103 FR3 / Nord - Pas-de-Calais 1104 FR4 / Est 1105 FR5 / Ouest 1106 FR6 / Sud-Ouest 1107 FR7 / Centre-Est 1108 FR8 / Méditerranée 1201 EL1 / Voreia Ellada 1202 EL2 / Kentriki Ellada 1203 EL3 / Attiki 1204 EL4 / Nisia Aigaiou, Kriti 1301 HU1 / Közép-Magyarország 1302 HU2 / Dunántúl 1303 HU3 / Alföld és Észak 1400 IE0 / Republic of Ireland 2201 PT1 / Continente 2202 PT2 / Região Autónoma dos Açores 2203 PT3 / Região Autónoma da Madeira 2301 RO1 / Macroregiunea unu 2302 RO2 / Macroregiunea doi 2303 RO3 / Macroregiunea trei 2304 RO4 / Macroregiunea patru 2501 SI0 / Slovenija 3401 CH0/Switzerland 3901 TR1 / Istanbul 3902 TR2 / Bati Marmara 3903 TR3 / Ege 3904 TR4 / Dogu Marmara 3905 TR5 / Bati Anadolu 3906 TR6 / Akdeniz 3907 TR7 / Orta Anadolu 3908 TR8 / Bati Karadeniz 3909 TR9 / Dogu Karadeniz 3911 TRA / Kuzeydogu Anadolu 3912 TRB / Ortadogu Anadolu 3913 TRC / Güneydogu Anadolu 9998 Response suppressed 9999 Unknown Nativity and Birthplace Variables -- PERSON Region of birth, Europe, NUTS2 EBPLNT2 indicates the NUTS2 region of Europe in which the person was born. The Nomenclature of Territorial Units for Statistics (NUTS) is a standard administrative division of the European Union, and was developed by the EU. NUTS2 identifies intermediate territorial units: the second level within countries. EBPLNT2 only identifies regions within the person's country of residence; it does not identify birthplaces of international migrants. The code labels include the standard code for the NUTS2 system and the name of the NUTS2 region, separated by a slash. 0000 NIU (not in universe) 0911 ES11 / Galicia 0912 ES12 / Principado de Asturias 0913 ES13 / Cantabria 0921 ES21 / País Vasco 0922 ES22 / Comunidad Foral de Navarra 0923 ES23 / La Rioja 0924 ES24 / Aragón 0930 ES30 / Comunidad de Madrid 0941 ES41 / Castilla y León 0942 ES42 / Castilla-La Mancha 0943 ES43 / Extremadura 0951 ES51 / Cataluña 0952 ES52 / Comunidad Valenciana 0953 ES53 / Illes Balears 0961 ES61 / Andalucía 0962 ES62 / Región de Murcia 0963 ES63 / Ciudad Autónoma de Ceuta 0964 ES64 / Ciudad Autónoma de Melilla 0969 ES63 + ES64 + Other Spanish territories 0970 ES70 / Canarias 1110 FR10 / Region d'Île de France 1121 FR21 / Champagne-Ardenne 1122 FR22 / Picardie 1123 FR23 / Haute-Normandie 1124 FR24 / Centre 1125 FR25 / Basse-Normandie 1126 FR26 / Bourgogne 1130 FR30 / Nord-Pas-de-Calais 1141 FR41 / Lorraine 1142 FR42 / Alsace 1143 FR43 / Franche-Comté 1151 FR51 / Pays de la Loire 1152 FR52 / Bretagne 1153 FR53 / Poitou-Charentes 1161 FR61 / Aquitaine 1162 FR62 / Midi-Pyrénées 1163 FR63 / Limousin 1171 FR71 / Rhône-Alpes 1172 FR72 / Auvergne 1181 FR81 / Lanquedoc-Roussillon 1182 FR82 / Provence-Alpes-Côte d'Azur 1183 FR83 / Corse 1211 EL11 / Anatoliki Makedonia, Thraki 1212 EL12 / Kentriki Makedonia 1213 EL13 / Dytiki Makedonia 1214 EL14 / Thessalia 1221 EL21 / Ipeiros 1222 EL22 / Ionia Nisia 1223 EL23 / Dytiki Ellada 1224 EL24 / Sterea Ellada 1225 EL25 / Peloponnisos 1230 EL30 / Attiki 1241 EL41 / Voreio Aigaio 1242 EL42 / Notio Aigaio 1243 EL43 / Kriti 1401 IE01 / Border, Midland and Western 1402 IE02 / Southern and Eastern 2211 PT11 / Norte 2215 PT15 / Algarve 2216 PT16 / Centro (P) 2217 PT17 / Lisboa 2218 PT18 / Alentejo 2220 PT20 / Região Autónoma dos Açores 2230 PT30 / Região Autónoma da Madeira 2311 RO11 / Nord-Vest 2312 RO12 / Centru 2321 RO21 / Nord-Est 2322 RO22 / Sud-Est 2331 RO31 / Sud - Muntenia 2332 RO32 / Bucuresti - Ilfov 2341 RO41 / Sud-Vest Oltenia 2342 RO42 / Vest 2501 SI01 / Vzhodna Slovenija 2502 SI02 / Zahodna Slovenija 3401 CH01 / Région Lémanique 3402 CH02 / Espace Mittelland 3403 CH03 / Nordwestschweiz 3404 CH04 / Zurich 3405 CH05 / Ostschweiz 3406 CH06 / Zentralschweiz 3407 CH07 / Ticino 3910 TR10 / Istanbul 3921 TR21 / Tekirdag, Edirne, Kirklareli 3922 TR22 / Balikesir, Çanakkale 3931 TR31 / Izmir 3932 TR32 / Aydin, Denizli, Mugla 3933 TR33 / Manisa, Afyonkarahisar, Kütahya, Usak 3941 TR41 / Bursa, Eskisehir, Bilecik 3942 TR42 / Kocaeli, Sakarya, Düzce, Bolu, Yalova 3951 TR51 / Ankara 3952 TR52 / Konya, Karaman 3961 TR61 / Antalya, Isparta, Burdur 3962 TR62 / Adana, Mersin 3963 TR63 / Hatay, Kahramanmaras, Osmaniye 3971 TR71 / Kirikkale, Aksaray, Nigde, Nevsehir, Kirsehir 3972 TR72 / Kayseri, Sivas, Yozgat 3981 TR81 / Zonguldak, Karabük, Bartin 3982 TR82 / Kastamonu, Çankiri, Sinop 3983 TR83 / Samsun, Tokat, Çorum, Amasya 3990 TR90 / Trabzon 3991 TRA1 / Erzurum, Erzincan, Bayburt 3992 TRA2 / Agri, Kars, Igdir, Ardahan 3993 TRB1 / Malatya, Elazig, Bingöl, Tunceli 3994 TRB2 / Van, Mus, Bitlis, Hakkari 3995 TRC1 / Gaziantep, Adiyaman, Kilis 3996 TRC2 / Sanliurfa, Diyarbakir 3997 TRC3 / Mardin, Batman, Sirnak, Siirt 9998 Response suppressed 9999 Unknown Nativity and Birthplace Variables -- PERSON Region of birth, Europe, NUTS3 EBPLNT3 indicates the NUTS3 region of Europe in which the person was born. The Nomenclature of Territorial Units for Statistics (NUTS) is a standard administrative division of the European Union, and was developed by the EU. NUTS3 identifies small territorial units: the third level within countries. EBPLNT3 only identifies regions within the person's country of residence; it does not identify birthplaces of international migrants. The code labels include the standard code for the NUTS3 system and the name of the NUTS3 region, separated by a slash. 00000 NIU (Not in universe) 09111 ES111 / A Coruña 09112 ES112 / Lugo 09113 ES113 / Ourense 09114 ES114 / Pontevedra 09120 ES120 / Asturias 09130 ES130 / Cantabria 09211 ES211 / Álava 09212 ES212 / Guipúzcoa 09213 ES213 / Vizcaya 09220 ES220 / Navarra 09230 ES230 / La Rioja 09241 ES241 / Huesca 09242 ES242 / Teruel 09243 ES243 / Zaragoza 09300 ES300 / Madrid 09411 ES411 / Ávila 09412 ES412 / Burgos 09413 ES413 / León 09414 ES414 / Palencia 09415 ES415 / Salamanca 09416 ES416 / Segovia 09417 ES417 / Soria 09418 ES418 / Valladolid 09419 ES419 / Zamora 09421 ES421 / Albacete 09422 ES422 / Ciudad Real 09423 ES423 / Cuenca 09424 ES424 / Guadalajara 09425 ES425 / Toledo 09431 ES431 / Badajoz 09432 ES432 / Cáceres 09511 ES511 / Barcelona 09512 ES512 / Girona 09513 ES513 / Lleida 09514 ES514 / Tarragona 09521 ES521 / Alicante/Alacant 09522 ES522 / Castellón/Castelló 09523 ES523 / Valencia/València 09532 ES532 / Mallorca + ES533 / Menorca + ES531 / Eivissa y Formentera 09611 ES611 / Almería 09612 ES612 / Cádiz 09613 ES613 / Córdoba 09614 ES614 / Granada 09615 ES615 / Huelva 09616 ES616 / Jaén 09617 ES617 / Málaga 09618 ES618 / Sevilla 09620 ES620 / Murcia 09630 ES630 / Ceuta 09640 ES640 / Melilla 09699 ES630 / Ceuta + ES640 / Melilla + Other Spanish territories 09705 ES705 / Gran Canaria + ES704 / Fuerteventura + ES708 / Lanzarote 09709 ES709 / Tenerife + ES706 / La Gomera + ES707 / La Palma + ES703 / El Hierro 12111 EL111 / Evros 12112 EL112 / Xanthi 12113 EL113 / Rodopi 12114 EL114 / Drama 12115 EL115 / Kavala 12121 EL121 / Imathia 12122 EL122 / Thessaloniki 12123 EL123 / Kilkis 12124 EL124 / Pella 12125 EL125 / Pieria 12126 EL126 / Serres 12127 EL127 / Chalkidiki and Aghion Oros 12131 EL131 / ELevena 12132 EL132 / Kastoria 12133 EL133 / Kozani 12134 EL134 / Florina 12141 EL141 / Karditsa 12142 EL142 / Larissa 12143 EL143 / Magnissia 12144 EL144 / Trikala 12211 EL211 / Arta 12212 EL212 / Thesprotia 12213 EL213 / Ioannina 12214 EL214 / Preveza 12221 EL221 / Zakynthos 12222 EL222 / Kerkyra 12223 EL223 / Kefallinia 12224 EL224 / Lefkada 12231 EL231 / Etolia and Akarnania 12232 EL232 / Achaia 12233 EL233 / Ilia 12241 EL241 / Viotia 12242 EL242 / Evia 12243 EL243 / Evrytania 12244 EL244 / Fthiotida 12245 EL245 / Fokida 12251 EL251 / Argolida 12252 EL252 / Arkadia 12253 EL253 / Korinthia 12254 EL254 / Lakonia 12255 EL255 / Messinia 12300 EL300 / Attiki 12411 EL411 / Lesvos 12412 EL412 / Samos 12413 EL413 / Chios 12421 EL421 / Dodekanissos 12422 EL422 / Kyklades 12431 EL431 / Iraklio 12432 EL432 / Lassithi 12433 EL433 / Rethymno 12434 EL434 / Chania 14011 IE011 / Border 14012 IE012 / Midlands 14013 IE013 / West 14021 IE021 / Dublin 14022 IE022 / Mid-East 14023 IE023 / Mid-West 14024 IE024 / South-East 14025 IE025 / South-West 11111 PT111 / Minho-Lima 11112 PT112 / Cávado 11113 PT113 / Ave 11114 PT114 / Grande Porto 11115 PT115 / Tâmega 11116 PT116 / Entre Douro e Vouga 11117 PT117 / Douro 11118 PT118 / Alto Trás-os-Montes 15150 PT150 / Algarve 16161 PT161 / Baixo Vouga 16162 PT162 / Baixo Mondego 16163 PT163 / Pinhal Litoral 16164 PT164 / Pinhal Interior Norte 16165 PT165 / Dão-Lafões 16166 PT166 / Pinhal Interior Sul 16167 PT167 / Serra da Estrela 16168 PT168 / Beira Interior Norte 16169 PT169 / Beira Interior Sul 17171 PT171 / Grande Lisboa 17172 PT172 / Península de Setúbal 18181 PT181 / Alentejo Litoral 18182 PT182 / Alto Alentejo 18183 PT183 / Alentejo Central 18184 PT184 / Baixo Alentejo 18185 PT185 / Lezíria do Tejo 16170 PT16A / Cova da Beira 16171 PT16B / Oeste 16172 PT16C / Médio Tejo 20200 PT200 / Região Autónoma dos Açores 30300 PT300 / Região Autónoma da Madeira 23111 RO111 / Bihor 23112 RO112 / Bistrita Nasaud 23113 RO113 / Cluj 23114 RO114 / Maramures 23115 RO115 / Satu Mare 23116 RO116 / Salaj 23121 RO121 / Alba 23122 RO122 / Brasov 23123 RO123 / Covasna 23124 RO124 / Harghita 23125 RO125 / Mures 23126 RO126 / Sibiu 23211 RO211 / Bacau 23212 RO212 / Botosani 23213 RO213 / Iasi 23214 RO214 / Neamt 23215 RO215 / Suceava 23216 RO216 / Vaslui 23221 RO221 / Braila 23222 RO222 / Buzau 23223 RO223 / Constanta 23224 RO224 / Galati 23225 RO225 / Tulcea 23226 RO226 / Vrancea 23311 RO311 / Arges 23312 RO312 / Calarasi 23313 RO313 / Dimbovita 23314 RO314 / Giurgiu 23315 RO315 / Ialomita 23316 RO316 / Prahova 23317 RO317 / Teleorman 23321 RO321 / Bucuresti 23322 RO322 / Ilfov 23411 RO411 / Dolj 23412 RO412 / Gorj 23413 RO413 / Mehedinti 23414 RO414 / Olt 23415 RO415 / Valcea 23421 RO421 / Arad 23422 RO422 / Caras Severin 23423 RO423 / Hunedoara 23424 RO424 / Timis 25011 SI011 / Pomurska 25012 SI012 / Podravska 25013 SI013 / Koroska 25014 SI014 / Savinjska 25015 SI015 / Zasavska 25016 SI016 / Spodnjeposavska 25017 SI017 / Jugovzhodna Slovenija 25018 SI018 / Notranjsko-kraska 25021 SI021 / Osrednjeslovenska 25022 SI022 / Gorenjska 25023 SI023 / Goriska 25024 SI024 / Obalno-kraska 34011 CH011 / Vaud 34012 CH012 / Valais 34013 CH013 / Geneva 34021 CH021 / Bern 34022 CH022 / Freiburg 34023 CH023 / Solothurn 34024 CH024 / Neuchatel 34025 CH025 / Jura 34031 CH031 / Basel-Stadt 34032 CH032 / Basel-Landschaft 34033 CH033 / Aargau 34040 CH040 / Zurich 34051 CH051 / Glarus 34052 CH052 / Schaffhausen 34053 CH053 / Appenzell Ausserrhoden + CH054 / Appenzell Innerrhoden 34055 CH055 / St. Gallen 34056 CH056 / Graubunden 34057 CH057 / Thurgau 34061 CH061 / Luzern 34062 CH062 / Uri 34063 CH063 / Schwyz 34064 CH064 / Obwalden 34065 CH065 / Nidwalden 34066 CH066 / Zug 34070 CH070 / Ticino 39100 TR100 / Istanbul 39211 TR211 / Tekirdag 39212 TR212 / Edirne 39213 TR213 / Kirklareli 39221 TR221 / Balikesir 39222 TR222 / Çanakkale 39310 TR310 / Izmir 39321 TR321 / Aydin 39322 TR322 / Denizli 39323 TR323 / Mugla 39331 TR331 / Manisa 39332 TR332 / Afyon 39333 TR333 / Kütahya 39334 TR334 / Usak 39411 TR411 / Bursa 39412 TR412 / Eskisehir 39413 TR413 / Bilecik 39421 TR421 / Kocaeli 39422 TR422 / Sakarya 39423 TR423 / Düzce 39424 TR424 / Bolu 39425 TR425 / Yalova 39510 TR510 / Ankara 39521 TR521 / Konya 39522 TR522 / Karaman 39611 TR611 / Antalya 39612 TR612 / Isparta 39613 TR613 / Burdur 39621 TR621 / Adana 39622 TR622 / Içel (Mersin) 39631 TR631 / Hatay 39632 TR632 / Kahramanmaras 39633 TR633 / Osmaniye 39711 TR711 / Kirikkale 39712 TR712 / Aksaray 39713 TR713 / Nigde 39714 TR714 / Nevsehir 39715 TR715 / Kirsehir 39721 TR721 / Kayseri 39722 TR722 / Sivas 39723 TR723 / Yozgat 39811 TR811 / Zonguldak 39812 TR812 / Karabük 39813 TR813 / Bartin 39821 TR821 / Kastamonu 39822 TR822 / Çankiri 39823 TR823 / Sinop 39831 TR831 / Samsun 39832 TR832 / Tokat 39833 TR833 / Çorum 39834 TR834 / Amasya 39901 TR901 / Trabzon 39902 TR902 / Ordu 39903 TR903 / Giresun 39904 TR904 / Rize 39905 TR905 / Artvin 39906 TR906 / Gümüshane 39910 TRA11 / Erzurum 39911 TRA12 / Erzincan 39912 TRA13 / Bayburt 39921 TRA21 / Agri 39922 TRA22 / Kars 39923 TRA23 / Igdir 39924 TRA24 / Ardahan 39931 TRB11 / Malatya 39932 TRB12 / Elazig 39933 TRB13 / Bingöl 39934 TRB14 / Tunceli 39941 TRB21 / Van 39942 TRB22 / Mus 39943 TRB23 / Bitlis 39944 TRB24 / Hakkari 39951 TRC11 / Gaziantep 39952 TRC12 / Adiyaman 39953 TRC13 / Kilis 39961 TRC21 / Sanliurfa 39962 TRC22 / Diyarbakir 39971 TRC31 / Mardin 39972 TRC32 / Batman 39973 TRC33 / Sirnak 39974 TRC34 / Siirt 99998 Response suppressed 99999 Unknown Nativity and Birthplace Variables -- PERSON School attendance 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. 0 NIU (not in universe) 1 Yes 2 No, not specified 3 No, attended in the past 4 No, never attended 9 Unknown/missing Education Variables -- PERSON Literacy 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. 0 NIU (not in universe) 1 No, illiterate 2 Yes, literate 9 Unknown/missing Education Variables -- PERSON Educational attainment, international recode [general version] 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. 0 NIU (not in universe) 1 Less than primary completed 2 Primary completed 3 Secondary completed 4 University completed 9 Unknown Education Variables -- PERSON Educational attainment, international recode [detailed version] 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. 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 Education Variables -- PERSON Educational attainment, Spain EDUCES indicates the person's educational attainment in Spain in terms of the level of schooling completed. 000 NIU (not in universe) 100 None 200 Basic (primary) education 201 Less than 5-year primary approved 202 Grades 1-5 approved 203 Grades 1-8 approved 300 Middle (secondary) education 310 Higher level secondary (grades 9-12) 320 Basic formation (years 1-2) 400 Post-secondary 410 Higher formation (years 3-5) 421 Some technical higher education 422 Technical higher education completed 431 Some undergraduate college (and graduate education 1981) 432 Undergraduate college graduate (and graduate education 1981) 440 Non-university higher education degrees 450 Post-graduate studies 460 Master degree or equivalent 470 Doctoral studies 999 Unknown Education Variables -- PERSON Educational attainment, Europe EEDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone) for the European samples. 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. All education that was relevant to the completion of a level should be taken into account even if it was provided outside of schools and universities. EEDATTAIN 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. EEDATTAIN 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 EEDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country. Hungary 1980 and 1990 also give single years of schooling completed, recorded in YRSCHOOL. EEDATTAIN has been classified according to the recommendations of the Conference of European Statisticians for the 2010 Population and Housing Censuses. EEDATTAIN presents a less detailed version of EDATTAIN for the European Samples. 00 NIU (not in universe) 10 Less than primary 20 Primary (first stage of basic education) 30 Lower secondary (second stage of basic education) 40 Upper secondary 50 Post-secondary non-tertiary education 60 University completed 99 Unknown/missing Education Variables -- PERSON Activity status (employment status) [general version] 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". 0 NIU (not in universe) 1 Employed 2 Unemployed 3 Inactive 9 Unknown/missing Work Variables -- PERSON Activity status (employment status) [detailed version] 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". 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 Work Variables -- PERSON Activity status (employment status), Europe EEMPSTAT indicates for the European samples 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, EEMPSTAT can also convey further information. EEMPSTAT has been classified according to the recommendations given by the Conference of European Statisticians for the 2010 Population and Housing Censuses. "Employment Status" is referred to as "Activity Status" in the CES recommendations, but the former term is used to maintain consistency with IPUMS practices. The economically active population constitutes the total labor force: employed and unemployed persons. 000 NIU (not in universe) 110 Employed 120 Unemployed 121 Unemployed, never worked before 200 Not economically active, unspecified 210 Students 220 Pension or capital income recipients 230 Homemakers 240 Others 999 Unknown / missing Work Variables -- PERSON Labor force participation 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. 1 No, not in the labor force 2 Yes, in the labor force 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Occupation, ISCO general 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. 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) Work Variables -- PERSON 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 Work Variables -- PERSON Industry, general recode 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. 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 Work Variables -- PERSON 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 Work Variables -- PERSON Status in employment (class of worker) [general version] 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. 0 NIU (not in universe) 1 Self-employed 2 Wage/salary worker 3 Unpaid worker 4 Other 9 Unknown/missing Work Variables -- PERSON Status in employment (class of worker) [detailed version] 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. 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 Work Variables -- PERSON Status in employment (class of worker), Europe ECLASSWK refers in European Samples 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. ECLASSWK is related to EEMPSTAT (employment status), which is used to define the universe for the variable in many samples. ECLASSWK has been classified according to the recommendations given by the Conference of European Statisticians for the 2010 Population and Housing Censuses. "Class of worker" is referred to as "Status in Employment" in the CES recommendations. The former term is used to maintain concordance with IPUMS practice. 0 NIU (not in universe) 1 Employees 2 Employers 3 Own-account worker 4 Contributing family workers 5 Members of producers' co-operatives 6 Persons not classificable by status 9 Unknown Work Variables -- PERSON Migration status, 1 year MIGRATE1 indicates the person's place of residence 1 year ago. The first digit records movement across major administrative divisions and countries; the second digit reports movement across minor administrative divisions. 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 99 Unknown/missing Migration: Global Variables -- PERSON Migration status, 5 years MIGRATE5 indicates the person's place of residence 5 years ago. The first digit records movement across major administrative divisions and countries. The second digit reports movement across minor administrative divisions, for samples in which that detail is available. 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 99 Unknown/missing Migration: Global Variables -- PERSON Migration status, 10 years MIGRATE0 indicates the person's place of residence 10 years ago. The first digit records movement across major administrative divisions and countries. The second digit reports movement across minor administrative divisions, for samples in which that detail is available. 00 NIU (not in universe) 10 Same major administrative unit 11 Same major, same minor administrative unit 12 Same minor administrative unit, same house 13 Same minor administrative unit, different house 14 Same major, different minor administrative unit 20 Different major administrative unit 30 Abroad 99 Unknown/missing Migration: Global Variables -- PERSON Migration status, previous residence MIGRATEP indicates whether the person's most recent move (if any) was between minor administrative units, major units, or countries. 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 Migration: Global Variables -- PERSON 1st subnational geographic level of previous residence, world [consistent boundaries over time] 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. 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] 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] Migration: Global Variables -- PERSON 1st subnational geographic level of residence 1 years prior to survey, world [consistent boundaries over time] GEOMIG1_1 indicates the major administrative unit in which the person resided one year prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of residence one year ago, 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_P, GEOMIG1_5, and GEOMIG1_10. More on migration and geography can be found here. 040011 Burgenland [State: Austria] 040012 Niederösterreich [State: Austria] 040013 Wien [State: Austria] 040021 Kärnten [State: Austria] 040022 Steiermark [State: Austria] 040031 Oberösterreich [State: Austria] 040032 Salzburg [State: Austria] 040033 Tirol [State: Austria] 040034 Vorarlberg [State: Austria] 040097 Foreign country [State: Austria] 040099 NIU [State: Austria] 854001 Boucle du Mouhoun [Region: Burkina Faso] 854002 Cascades [Region: Burkina Faso] 854003 Centre [Region: Burkina Faso] 854004 Centre-Est [Region: Burkina Faso] 854005 Centre-Nord [Region: Burkina Faso] 854006 Centre-Ouest [Region: Burkina Faso] 854007 Centre-Sud [Region: Burkina Faso] 854008 Est [Region: Burkina Faso] 854009 Hauts-Bassins [Region: Burkina Faso] 854010 Nord [Region: Burkina Faso] 854011 Plateau Central [Region: Burkina Faso] 854012 Sahel [Region: Burkina Faso] 854013 Sud-Ouest [Region: Burkina Faso] 854997 Abroad [Region: Burkina Faso] 854998 Unknown [Region: Burkina Faso] 854999 NIU [Region: Burkina Faso] 072001 Gaborone [District: Botswana] 072002 Francistown [District: Botswana] 072003 Lobatse [District: Botswana] 072004 Selebi Phikwe [District: Botswana] 072007 Central Tutume, Sowa [District: Botswana] 072010 Ngwaketse, Ngwaketse West, Ngwaketse Southern, Southern, Jwaneng [District: Botswana] 072011 Borolong [District: Botswana] 072020 South East [District: Botswana] 072030 Kweneng, Kweneng South, Kweneng North [District: Botswana] 072040 Kgatleng [District: Botswana] 072050 Central Serowe/Palapye [District: Botswana] 072051 Central Mahalapye [District: Botswana] 072052 Central Bobonong [District: Botswana] 072053 Central Boteti, Orapa [District: Botswana] 072060 North East [District: Botswana] 072070 Ngamiland East [District: Botswana] 072071 Ngamiland West, Delta [District: Botswana] 072072 Chobe [District: Botswana] 072080 Ghanzi, Central Kgalagadi Game Reserve (CKGR) [District: Botswana] 072090 Tshabong (Kgalagadi South) [District: Botswana] 072091 Hukunsti (Kgalagadi North) [District: Botswana] 072092 Botswana, district unknown [District: Botswana] 072097 Abroad [District: Botswana] 072098 Unknown [District: Botswana] 072099 NIU (not in universe) [District: Botswana] 124010 Newfoundland and Labrador [Province: Canada] 124011 Prince Edward Island, Yukon Territory, Northwest Territories, Nunavut [Province: Canada] 124012 Nova Scotia [Province: Canada] 124013 New Brunswick [Province: Canada] 124024 Quebec [Province: Canada] 124035 Ontario [Province: Canada] 124046 Manitoba [Province: Canada] 124047 Saskatchewan [Province: Canada] 124048 Alberta [Province: Canada] 124059 British Columbia [Province: Canada] 124098 Unknown [Province: Canada] 124099 NIU (not in universe) [Province: Canada] 384001 Lagunes, Sud Comoé, Sud Bandama, Agneby [Region: Cote D'Ivoire] 384002 Haut Sassandra, Marahoué, Fromager [Region: Cote D'Ivoire] 384003 Savanes [Region: Cote D'Ivoire] 384004 Vallée du Bandam, Lacs, N'Zi Comoé [Region: Cote D'Ivoire] 384005 Moyen Comoé [Region: Cote D'Ivoire] 384006 Montagnes, Moyen Cavally [Region: Cote D'Ivoire] 384008 Zanzan [Region: Cote D'Ivoire] 384009 Bas Sassandra [Region: Cote D'Ivoire] 384010 Denguele, Worodougou, Bafing [Region: Cote D'Ivoire] 384097 Abroad [Region: Cote D'Ivoire] 384098 Unknown [Region: Cote D'Ivoire] 384099 NIU [Region: Cote D'Ivoire] 300001 Etolia and Akarnania [Department: Greece] 300003 Viotia [Department: Greece] 300004 Evia [Department: Greece] 300005 Evrytania [Department: Greece] 300006 Fthiotida [Department: Greece] 300007 Fokida [Department: Greece] 300011 Argolida [Department: Greece] 300012 Arkadia [Department: Greece] 300013 Achaia [Department: Greece] 300014 Ilia [Department: Greece] 300015 Korinthia [Department: Greece] 300016 Lakonia [Department: Greece] 300017 Messinia [Department: Greece] 300021 Zakynthos [Department: Greece] 300022 Kerkyra [Department: Greece] 300023 Kefallinia [Department: Greece] 300024 Lefkada [Department: Greece] 300031 Arta [Department: Greece] 300032 Thesprotia [Department: Greece] 300033 Ioannina [Department: Greece] 300034 Preveza [Department: Greece] 300041 Karditsa [Department: Greece] 300042 Larissa [Department: Greece] 300043 Magnissia [Department: Greece] 300044 Trikala [Department: Greece] 300051 Grevena [Department: Greece] 300052 Drama [Department: Greece] 300053 Imathia [Department: Greece] 300054 Thessaloniki [Department: Greece] 300055 Kavala [Department: Greece] 300056 Kastoria [Department: Greece] 300057 Kilkis [Department: Greece] 300058 Kozani [Department: Greece] 300059 Pella [Department: Greece] 300061 Pieria [Department: Greece] 300062 Serres [Department: Greece] 300063 Florina [Department: Greece] 300064 Chalkidiki and Agion Oros [Department: Greece] 300071 Evros [Department: Greece] 300072 Xanthi [Department: Greece] 300073 Rodopi [Department: Greece] 300081 Dodekanissos [Department: Greece] 300082 Kyklades [Department: Greece] 300083 Lesvos [Department: Greece] 300084 Samos [Department: Greece] 300085 Chios [Department: Greece] 300091 Iraklio [Department: Greece] 300092 Lassithi [Department: Greece] 300093 Rethymno [Department: Greece] 300094 Chania [Department: Greece] 300101 Prefecture of Athens [Department: Greece] 300102 Prefecture of East Attiki [Department: Greece] 300103 Prefecture of West Attiki [Department: Greece] 300104 Prefecture of Pireas [Department: Greece] 300996 Foreign country [Department: Greece] 300997 Response suppressed [Department: Greece] 300998 Unknown [Department: Greece] 300999 NIU (not in universe) [Department: Greece] 372001 Dublin [Region: Ireland] 372002 Midlands [Region: Ireland] 372003 Mid-East, Border [Region: Ireland] 372004 Mid-West, South-East [Region: Ireland] 372006 West [Region: Ireland] 372008 South West [Region: Ireland] 372096 Ireland, region not specified [Region: Ireland] 372097 Abroad [Region: Ireland] 372098 Unknown [Region: Ireland] 372099 NIU (not in universe) [Region: Ireland] 380001 Piemonte, Valle d'Aosta [Region: Italy] 380003 Lombardia [Region: Italy] 380004 Trentino Alto Adige [Region: Italy] 380005 Veneto [Region: Italy] 380006 Friuli Venezia Giulia [Region: Italy] 380007 Liguria [Region: Italy] 380008 Emilia Romagna, Marche [Region: Italy] 380009 Toscana [Region: Italy] 380010 Umbria [Region: Italy] 380012 Lazio [Region: Italy] 380013 Abruzzo [Region: Italy] 380014 Molise [Region: Italy] 380015 Campania [Region: Italy] 380016 Puglia [Region: Italy] 380017 Basilicata [Region: Italy] 380018 Calabria [Region: Italy] 380019 Sicilia [Region: Italy] 380020 Sardegna [Region: Italy] 380097 Foregin Country [Region: Italy] 380099 NIU [Region: Italy] 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] 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] 454998 Unknown [District: Malawi] 454999 NIU (not in universe) [District: Malawi] 508001 Niassa [Province: Mozambique] 508002 Cabo Delgado [Province: Mozambique] 508003 Nampula [Province: Mozambique] 508004 Zambézia [Province: Mozambique] 508005 Tete [Province: Mozambique] 508006 Manica [Province: Mozambique] 508007 Sofala [Province: Mozambique] 508008 Inhambane [Province: Mozambique] 508009 Gaza [Province: Mozambique] 508010 Maputo province [Province: Mozambique] 508011 Maputo city [Province: Mozambique] 508097 Foreign Country [Province: Mozambique] 508098 Unknown [Province: Mozambique] 508099 NIU (not in universe) [Province: Mozambique] 598001 Western [Province: Papua New Guinea] 598002 Gulf [Province: Papua New Guinea] 598003 Central [Province: Papua New Guinea] 598004 National Capital District [Province: Papua New Guinea] 598005 Milne Bay [Province: Papua New Guinea] 598006 Northern [Province: Papua New Guinea] 598007 Southern Highlands, Hela [Province: Papua New Guinea] 598008 Enga [Province: Papua New Guinea] 598009 Western Highlands, Jiwaka [Province: Papua New Guinea] 598010 Chimbu [Province: Papua New Guinea] 598011 Eastern Highlands [Province: Papua New Guinea] 598012 Morobe [Province: Papua New Guinea] 598013 Madang [Province: Papua New Guinea] 598014 East Sepik [Province: Papua New Guinea] 598015 West Sepik [Province: Papua New Guinea] 598016 Manus [Province: Papua New Guinea] 598017 New Ireland [Province: Papua New Guinea] 598018 East New Britain [Province: Papua New Guinea] 598019 West New Britain [Province: Papua New Guinea] 598020 Autonomous Region of Bougainville [Province: Papua New Guinea] 598097 Foreign country [Province: Papua New Guinea] 598098 Unknown [Province: Papua New Guinea] 598099 NIU (not in universe) [Province: Papua New Guinea] 616002 Dolnośląskie [Vovoidship (Province): Poland] 616004 Kujawsko pomorskie [Vovoidship (Province): Poland] 616006 Lubelskie [Vovoidship (Province): Poland] 616008 Lubuskie [Vovoidship (Province): Poland] 616010 Łódzkie [Vovoidship (Province): Poland] 616012 Małopolskie [Vovoidship (Province): Poland] 616014 Mazowieckie [Vovoidship (Province): Poland] 616016 Opolskie [Vovoidship (Province): Poland] 616018 Podkarpackie [Vovoidship (Province): Poland] 616020 Podlaskie [Vovoidship (Province): Poland] 616022 Pomorskie [Vovoidship (Province): Poland] 616024 Śląskie [Vovoidship (Province): Poland] 616026 Świętokrzyskie [Vovoidship (Province): Poland] 616028 Warmińsko mazurskie [Vovoidship (Province): Poland] 616030 Wielkopolskie [Vovoidship (Province): Poland] 616032 Zachodniopomorskie [Vovoidship (Province): Poland] 616098 Unknown [Vovoidship (Province): Poland] 616099 NIU (not in universe) [Vovoidship (Province): Poland] 620111 Minho-Lima [Subregion: Portugal] 620112 Cávado [Subregion: Portugal] 620113 Ave [Subregion: Portugal] 620114 Grande Porto [Subregion: Portugal] 620115 Tâmega [Subregion: Portugal] 620116 Entre Douro e Vouga [Subregion: Portugal] 620117 Douro [Subregion: Portugal] 620118 Alto Trás-os-Montes [Subregion: Portugal] 620150 Algarve [Subregion: Portugal] 620161 Baixo Vouga [Subregion: Portugal] 620162 Baixo Mondego [Subregion: Portugal] 620163 Pinhal Litoral [Subregion: Portugal] 620165 Dão-Lafões [Subregion: Portugal] 620166 Oeste [Subregion: Portugal] 620167 Médio Tejo [Subregion: Portugal] 620169 Other Center [Subregion: Portugal] 620171 Grande Lisboa [Subregion: Portugal] 620172 Península de Setúbal [Subregion: Portugal] 620185 Lezíria do Tejo [Subregion: Portugal] 620189 Other Alentejo [Subregion: Portugal] 620200 Região Autónoma dos Açores [Subregion: Portugal] 620300 Região Autónoma da Madeira [Subregion: Portugal] 620998 Foreign country [Subregion: Portugal] 620999 NIU (not in universe) [Subregion: Portugal] 643001 Altai Krai [Region: Russia] 643003 Krasnodar Krai [Region: Russia] 643004 Krasnoyarsk Krai [Region: Russia] 643005 Primorsky Krai [Region: Russia] 643007 Stavropol Krai [Region: Russia] 643008 Khabarovsk Krai [Region: Russia] 643010 Amur Oblast [Region: Russia] 643011 Arkhangelsk Oblast [Region: Russia] 643012 Astrakhan Oblast [Region: Russia] 643013 Nenets Autonomous District 643014 Belgorod Oblast [Region: Russia] 643015 Bryansk Oblast [Region: Russia] 643017 Vladimir Oblast [Region: Russia] 643018 Volgograd Oblast [Region: Russia] 643019 Vologda Oblast [Region: Russia] 643020 Voronezh Oblast [Region: Russia] 643022 Nizhny Novgorod Oblast [Region: Russia] 643024 Ivanovo Oblast [Region: Russia] 643025 Irkutsk Oblast [Region: Russia] 643026 Republic of Ingushetia [Region: Russia] 643027 Kaliningrad Oblast [Region: Russia] 643028 Tver Oblast [Region: Russia] 643029 Kaluga Oblast [Region: Russia] 643030 Kamchatka Krai [Region: Russia] 643032 Kemerovo Oblast [Region: Russia] 643033 Kirov Oblast [Region: Russia] 643034 Kostroma Oblast [Region: Russia] 643036 Samara Oblast [Region: Russia] 643037 Kurgan Oblast [Region: Russia] 643038 Kursk Oblast [Region: Russia] 643040 City of Federal Importance St. Petersburg [Region: Russia] 643041 Leningrad Oblast [Region: Russia] 643042 Lipetsk Oblast [Region: Russia] 643044 Magadan Oblast [Region: Russia] 643045 City of Federal Importance Moscow [Region: Russia] 643046 Moscow Oblast [Region: Russia] 643047 Murmansk Oblast [Region: Russia] 643049 Novgorod Oblast [Region: Russia] 643050 Novosibirsk Oblast [Region: Russia] 643052 Omsk Oblast [Region: Russia] 643053 Orenburg Oblast [Region: Russia] 643054 Oryol Oblast [Region: Russia] 643056 Penza Oblast [Region: Russia] 643057 Perm Krai [Region: Russia] 643058 Pskov Oblast [Region: Russia] 643060 Rostov Oblast [Region: Russia] 643061 Ryazan Oblast [Region: Russia] 643063 Saratov Oblast [Region: Russia] 643064 Sakhalin Oblast [Region: Russia] 643065 Sverdlovsk Oblast [Region: Russia] 643066 Smolensk Oblast [Region: Russia] 643068 Tambov Oblast [Region: Russia] 643069 Tomsk Oblast [Region: Russia] 643070 Tula Oblast [Region: Russia] 643071 Tyumen Oblast [Region: Russia] 643072 Khanty-Mansi Autonomous District - Yugra [Region: Russia] 643073 Ulyanovsk Oblast [Region: Russia] 643074 Yamalo-Nenets Autonomous District [Region: Russia] 643075 Chelyabinsk Oblast [Region: Russia] 643076 Zabaykalsky Krai, Aginsky Buryat District [Region: Russia] 643077 Chukotka Autonomous Region [Region: Russia] 643078 Yaroslavskaya Oblast [Region: Russia] 643079 Republic of Adygea [Region: Russia] 643080 Republic of Bashkortostan [Region: Russia] 643081 Republic of Buryatia [Region: Russia] 643082 Republic of Dagestan [Region: Russia] 643083 Kabardino-Balkaria Republic [Region: Russia] 643084 Altai Republic [Region: Russia] 643085 Republic of Kalmykia [Region: Russia] 643086 Republic of Karelia [Region: Russia] 643087 Komi Republic [Region: Russia] 643088 Mari El Republic [Region: Russia] 643089 Republic of Mordovia [Region: Russia] 643090 Republic of North Ossetia-Alania [Region: Russia] 643091 Karachay-Cherkess Republic [Region: Russia] 643092 Republic of Tatarstan [Region: Russia] 643093 Tyva Republic [Region: Russia] 643094 Udmurtia Republic [Region: Russia] 643095 Republic of Khakassia [Region: Russia] 643096 Chechen Republic [Region: Russia] 643097 Chuvash Republic [Region: Russia] 643098 Republic of Sakha (Yakutia) [Region: Russia] 643099 Jewish Autonomous Region [Region: Russia] 643997 Foreign Country [Region: Russia] 643998 Unknown [Region: Russia] 643999 NIU [Region: Russia] 686001 Dakar [Region: Senegal] 686002 Ziguinchor [Region: Senegal] 686003 Diourbel [Region: Senegal] 686004 Saint Louis, Louga, Matam [Region: Senegal] 686005 Tambacounda, Kedougou [Region: Senegal] 686006 Kaolack, Fatick, Kaffrine [Region: Senegal] 686007 Thiès [Region: Senegal] 686010 Kolda, Sedhiou [Region: Senegal] 686097 Abroad [Region: Senegal] 686099 NIU (not in universe) [Region: Senegal] 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 Foreign country [Communities & autonomous city: Spain] 724999 NIU (not in universe) [Communities & autonomous city: Spain] 728011 Northern [State:South Sudan] 728012 Nahr El Nil [State:South Sudan] 728021 Red Sea [State:South Sudan] 728022 Kassala [State:South Sudan] 728023 Al Gedarif [State:South Sudan] 728031 Khartoum [State:South Sudan] 728041 Al Gezira [State:South Sudan] 728042 White Nile [State:South Sudan] 728043 Sinnar [State:South Sudan] 728044 Blue Nile [State:South Sudan] 728051 North Kordofan [State:South Sudan] 728052 South Kordofan [State:South Sudan] 728061 North Darfur [State:South Sudan] 728062 West Darfur [State:South Sudan] 728063 South Darfur [State:South Sudan] 728071 Upper Nile [State: South Sudan] 728072 Jonglei [State: South Sudan] 728073 Unity [State: South Sudan] 728081 Warrap [State: South Sudan] 728082 Northern Bahr El Ghazal [State: South Sudan] 728083 Western Bahr El Ghazal [State: South Sudan] 728084 Lakes [State: South Sudan] 728091 Western Equatoria [State: South Sudan] 728092 Central Equatoria [State: South Sudan] 728093 Eastern Equatoria [State: South Sudan] 728098 Abroad [State: South Sudan] 728099 NIU (Not in universe) [State: South Sudan] 729011 Northern [State: Sudan] 729012 Nahr El Nil [State: Sudan] 729021 Red Sea [State: Sudan] 729022 Kassala [State: Sudan] 729023 Al Gedarif [State: Sudan] 729031 Khartoum [State: Sudan] 729041 Al Gezira [State: Sudan] 729042 White Nile [State: Sudan] 729043 Sinnar [State: Sudan] 729044 Blue Nile [State: Sudan] 729051 North Kordofan [State: Sudan] 729052 South Kordofan [State: Sudan] 729061 North Darfur [State: Sudan] 729062 West Darfur [State: Sudan] 729063 South Darfur [State: Sudan] 729071 Upper Nile [State: Sudan] 729072 Jonglei [State: Sudan] 729073 Unity [State: Sudan] 729081 Warrap [State: Sudan] 729082 Northern Bahr El Ghazal [State: Sudan] 729083 Western Bahr El Ghazal [State: Sudan] 729084 Lakes [State: Sudan] 729091 Western Equatoria [State: Sudan] 729092 Central Equatoria [State: Sudan] 729093 Eastern Equatoria [State: Sudan] 729098 Abroad [State: Sudan] 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] 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] 780099 NIU (not in universe) [Region: Trinidad and Tobago] 826101 North East [Region: United Kingdom] 826102 North West [Region: United Kingdom] 826103 Yorkshire and the Humber [Region: United Kingdom] 826104 East Midlands [Region: United Kingdom] 826105 West Midlands [Region: United Kingdom] 826106 East of England [Region: United Kingdom] 826107 South East [Region: United Kingdom] 826108 South West [Region: United Kingdom] 826110 Outer London, Inner London [Region: United Kingdom] 826111 Scotland [Region: United Kingdom] 826112 Wales [Region: United Kingdom] 826113 Northern Ireland [Region: United Kingdom] 826197 Other country [Region: United Kingdom] 826198 Unknown [Region: United Kingdom] 826199 NIU (not in universe) [Region: United Kingdom] 834001 Dodoma [Region: Tanzania] 834002 Arusha, Manyara [Region: Tanzania] 834003 Kilimanjaro [Region: Tanzania] 834004 Tanga [Region: Tanzania] 834005 Morogoro [Region: Tanzania] 834006 Pwani [Region: Tanzania] 834007 Dar es Salaam [Region: Tanzania] 834008 Lindi [Region: Tanzania] 834009 Mtwara [Region: Tanzania] 834010 Ruvuma [Region: Tanzania] 834011 Iringa, Njombe [Region: Tanzania] 834012 Mbeya [Region: Tanzania] 834013 Singida [Region: Tanzania] 834014 Tabora [Region: Tanzania] 834015 Katavi, Rukwa [Region: Tanzania] 834016 Kigoma [Region: Tanzania] 834019 Geita, Kagera, Mwanza, Shinyanga, Simiyu [Region: Tanzania] 834020 Mara [Region: Tanzania] 834051 Zanzibar North [Region: Tanzania] 834052 Zanzibar South [Region: Tanzania] 834053 Zanzibar Town/West [Region: Tanzania] 834054 Pemba North [Region: Tanzania] 834055 Pemba South [Region: Tanzania] 834097 Abroad [Region: Tanzania] 834098 Unknown [Region: Tanzania] 834099 NIU (not in universe) [Region: Tanzania] 840001 Alabama [State: United States] 840002 Alaska [State: United States] 840004 Arizona [State: United States] 840005 Arkansas [State: United States] 840006 California [State: United States] 840008 Colorado [State: United States] 840009 Connecticut [State: United States] 840010 Delaware [State: United States] 840011 District of Columbia [State: United States] 840012 Florida [State: United States] 840013 Georgia [State: United States] 840015 Hawaii [State: United States] 840016 Idaho [State: United States] 840017 Illinois [State: United States] 840018 Indiana [State: United States] 840019 Iowa [State: United States] 840020 Kansas [State: United States] 840021 Kentucky [State: United States] 840022 Louisiana [State: United States] 840023 Maine [State: United States] 840024 Maryland [State: United States] 840025 Massachusetts [State: United States] 840026 Michigan [State: United States] 840027 Minnesota [State: United States] 840028 Mississippi [State: United States] 840029 Missouri [State: United States] 840030 Montana [State: United States] 840031 Nebraska [State: United States] 840032 Nevada [State: United States] 840033 New Hampshire [State: United States] 840034 New Jersey [State: United States] 840035 New Mexico [State: United States] 840036 New York [State: United States] 840037 North Carolina [State: United States] 840038 North Dakota [State: United States] 840039 Ohio [State: United States] 840040 Oklahoma [State: United States] 840041 Oregon [State: United States] 840042 Pennsylvania [State: United States] 840044 Rhode Island [State: United States] 840045 South Carolina [State: United States] 840046 South Dakota [State: United States] 840047 Tennessee [State: United States] 840048 Texas [State: United States] 840049 Utah [State: United States] 840050 Vermont [State: United States] 840051 Virginia [State: United States] 840053 Washington [State: United States] 840054 West Virginia [State: United States] 840055 Wisconsin [State: United States] 840056 Wyoming [State: United States] 840097 Abroad [State: United States] 840999 NIU (not in universe) [State: United States] 894001 Central [Province: Zambia] 894002 Copperbelt [Province: Zambia] 894003 Eastern, Muchinga, Northern [Province: Zambia] 894004 Luapula [Province: Zambia] 894005 Lusaka [Province: Zambia] 894008 North Western [Province: Zambia] 894009 Southern [Province: Zambia] 894010 Western [Province: Zambia] 894097 Foreign country [Province: Zambia] 894098 Unknown [Province: Zambia] 894099 NIU (not in universe) [Province: Zambia] Migration: Global Variables -- PERSON 1st subnational geographic level of residence 10 years prior to survey, world [consistent boundaries over time] GEOMIG1_10 indicates the major administrative unit in which the person resided ten years prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of residence ten year ago, to enable comparative analysis of subnational migration. Foreign migrants are coded 097 or 997. Codes for GEOMIG1_10 match the geographic codes in GEOLEV1 (current place of residence). For similar information for different time intervals since migration, see variables GEOMIG1_P, GEOMIG1_1, and GEOMIG1_5. More on migration and geography can be found here. 368001 In residential place of birth [Governorate: Iraq] 368002 In current governate [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] 368099 NIU (not in universe) [Governorate: Iraq] 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] 426001 Butha Buthe [District: Lesotho] 426002 Leribe [District: Lesotho] 426003 Berea [District: Lesotho] 426004 Maseru [District: Lesotho] 426005 Mafeteng [District: Lesotho] 426006 Mohale's Hoek [District: Lesotho] 426007 Quthing [District: Lesotho] 426008 Qacha's Nek [District: Lesotho] 426009 Mokhotlong [District: Lesotho] 426010 Thaba-Tseka [District: Lesotho] 426097 Abroad [District: Lesotho] 426099 NIU [District: Lesotho] 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] 608009 Batanes [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] 686001 Dakar [Region: Senegal] 686002 Ziguinchor [Region: Senegal] 686003 Diourbel [Region: Senegal] 686004 Saint Louis, Louga, Matam [Region: Senegal] 686005 Tambacounda, Kedougou [Region: Senegal] 686006 Kaolack, Fatick, Kaffrine [Region: Senegal] 686007 Thiès [Region: Senegal] 686010 Kolda, Sedhiou [Region: Senegal] 686097 Abroad [Region: Senegal] 686099 NIU (not in universe) [Region: Senegal] 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] 724090 Other Spanish territories in 1970 [Communities & autonomous city: Spain] 724097 Foreign country [Communities & autonomous city: Spain] 724098 Unknown [Communities & autonomous city: Spain] 724999 NIU (not in universe) [Communities & autonomous city: Spain] 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] 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] 780099 NIU (not in universe) [Region: Trinidad and Tobago] 834001 Dodoma [Region: Tanzania] 834002 Arusha, Manyara [Region: Tanzania] 834003 Kilimanjaro [Region: Tanzania] 834004 Tanga [Region: Tanzania] 834005 Morogoro [Region: Tanzania] 834006 Pwani [Region: Tanzania] 834007 Dar es Salaam [Region: Tanzania] 834008 Lindi [Region: Tanzania] 834009 Mtwara [Region: Tanzania] 834010 Ruvuma [Region: Tanzania] 834011 Iringa, Njombe [Region: Tanzania] 834012 Mbeya [Region: Tanzania] 834013 Singida [Region: Tanzania] 834014 Tabora [Region: Tanzania] 834015 Katavi, Rukwa [Region: Tanzania] 834016 Kigoma [Region: Tanzania] 834019 Geita, Kagera, Mwanza, Shinyanga, Simiyu [Region: Tanzania] 834020 Mara [Region: Tanzania] 834051 Zanzibar North [Region: Tanzania] 834052 Zanzibar South [Region: Tanzania] 834053 Zanzibar Town/West [Region: Tanzania] 834054 Pemba North [Region: Tanzania] 834055 Pemba South [Region: Tanzania] 834097 Abroad [Region: Tanzania] 716000 Bulawayo [Province: Zimbabwe] 716001 Manicaland [Province: Zimbabwe] 716002 Mashonaland Central [Province: Zimbabwe] 716003 Mashonaland East [Province: Zimbabwe] 716004 Mashonaland West [Province: Zimbabwe] 716005 Matabeleland North [Province: Zimbabwe] 716006 Matabeleland South [Province: Zimbabwe] 716007 Midlands [Province: Zimbabwe] 716008 Masvingo [Province: Zimbabwe] 716009 Harare [Province: Zimbabwe] 716097 Abroad [Province: Zimbabwe] 716098 Unknown [Province: Zimbabwe] 716099 NIU (Not in universe) [Province: Zimbabwe] Migration: Global Variables -- PERSON Years residing in current locality MIGYRS1 indicates how many years the person has resided in their current locality of residence. 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) Migration: Global Variables -- PERSON Communities and Autonomous Cities of previous residence, Spain; consistent boundaries, GIS MIG1_P_ES indicates the person's community or autonomous city of previous residence within Spain. 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. 724011 Galicia 724012 Principado de Asturias 724013 Cantabria 724021 País Vasco 724022 Comunidad Foral de Navarra 724023 La Rioja 724024 Aragón 724030 Comunidad de Madrid 724041 Castilla y León 724042 Castilla-La Mancha 724043 Extremadura 724051 Cataluña 724052 Comunidad Valenciana 724053 Islas Baleares 724061 Andalucía 724062 Región de Murcia 724063 Ciudad Autónoma de Ceuta 724064 Ciudad Autónoma de Melilla 724070 Canarias 724097 Abroad 724999 NIU (not in universe) Migration: O-Z Variables -- PERSON Communities and Autonomous Cities of residence 1 year ago, Spain; consistent boundaries, GIS MIG1_1_ES indicates the person's community or autonomous city of residence one year ago within Spain. 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. 724011 Galicia 724012 Principado de Asturias 724013 Cantabria 724021 País Vasco 724022 Comunidad Foral de Navarra 724023 La Rioja 724024 Aragón 724030 Comunidad de Madrid 724041 Castilla y León 724042 Castilla-La Mancha 724043 Extremadura 724051 Cataluña 724052 Comunidad Valenciana 724053 Islas Baleares 724061 Andalucía 724062 Región de Murcia 724063 Ciudad Autónoma de Ceuta 724064 Ciudad Autónoma de Melilla 724070 Canarias 724097 Foreign country 724999 NIU (not in universe) Migration: O-Z Variables -- PERSON Communities and Autonomous Cities of residence 5 years ago, Spain; consistent boundaries, GIS MIG1_5_ES indicates the person's Community or Autonomous City of residence five years ago within Spain. 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. 724011 Galicia 724012 Principado de Asturias 724013 Cantabria 724021 País Vasco 724022 Comunidad Foral de Navarra 724023 La Rioja 724024 Aragón 724030 Comunidad de Madrid 724041 Castilla y León 724042 Castilla-La Mancha 724043 Extremadura 724051 Cataluña 724052 Comunidad Valenciana 724053 Islas Baleares 724061 Andalucía 724062 Región de Murcia 724063 Ciudad Autónoma de Ceuta 724064 Ciudad Autónoma de Melilla 724070 Canarias 724097 Foreign country 724999 NIU (not in universe) Migration: O-Z Variables -- PERSON Communities and Autonomous Cities of residence 10 years ago, Spain; consistent boundaries, GIS MIG1_10_ES indicates the person's Community or Autonomous City of residence ten years ago within Spain. 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. 724011 Galicia 724012 Principado de Asturias 724013 Cantabria 724021 País Vasco 724022 Comunidad Foral de Navarra 724023 La Rioja 724024 Aragón 724030 Comunidad de Madrid 724041 Castilla y León 724042 Castilla-La Mancha 724043 Extremadura 724051 Cataluña 724052 Comunidad Valenciana 724053 Islas Baleares 724061 Andalucía 724062 Región de Murcia 724063 Ciudad Autónoma de Ceuta 724064 Ciudad Autónoma de Melilla 724070 Canarias 724090 Other Spanish territories in 1970 724097 Foreign country 724098 Unknown 724999 NIU (not in universe) Migration: O-Z Variables -- PERSON Province of previous residence, Spain; consistent boundaries, GIS MIG2_P_ES indicates the person's province of previous residence within Spain. The migration could have occurred at any time in the past. Migration province codes from MIG2_P_ES are compatible with codes from GEO2_ES. 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. 724011015 A Coruña 724011027 Lugo 724011032 Ourense 724011036 Pontevedra 724012033 Asturias 724013039 Cantabria 724021001 Álava 724021020 Guipúzcoa 724021048 Vizcaya 724022031 Navarra 724023026 La Rioja 724024022 Huesca 724024044 Teruel 724024050 Zaragoza 724030028 Madrid 724041005 Ávila 724041009 Burgos 724041024 León 724041034 Palencia 724041037 Salamanca 724041040 Segovia 724041042 Soria 724041047 Valladolid 724041049 Zamora 724042002 Albacete 724042013 Ciudad Real 724042016 Cuenca 724042019 Guadalajara 724042045 Toledo 724043006 Badajoz 724043010 Cáceres 724051008 Barcelona 724051017 Girona 724051025 Lleida 724051043 Tarragona 724052003 Alicante/Alacant 724052012 Castellón/Castelló 724052046 Valencia/València 724053007 Islas Baleares 724061004 Almería 724061011 Cádiz 724061014 Córdoba 724061018 Granada 724061021 Huelva 724061023 Jaén 724061029 Málaga 724061041 Sevilla 724062030 Murcia 724063051 Ceuta 724064052 Melilla 724070035 Las Palmas 724070038 Santa Cruz de Tenerife 727097097 Abroad 727099099 NIU (not in universe) Migration: O-Z Variables -- PERSON Province of residence 1 year ago, Spain; consistent boundaries, GIS MIG2_1_ES indicates the person's province of residence one year ago within Spain. 724011015 A Coruña 724011027 Lugo 724011032 Ourense 724011036 Pontevedra 724012033 Asturias 724013039 Cantabria 724021001 Álava 724021020 Guipúzcoa 724021048 Vizcaya 724022031 Navarra 724023026 La Rioja 724024022 Huesca 724024044 Teruel 724024050 Zaragoza 724030028 Madrid 724041005 Ávila 724041009 Burgos 724041024 León 724041034 Palencia 724041037 Salamanca 724041040 Segovia 724041042 Soria 724041047 Valladolid 724041049 Zamora 724042002 Albacete 724042013 Ciudad Real 724042016 Cuenca 724042019 Guadalajara 724042045 Toledo 724043006 Badajoz 724043010 Cáceres 724051008 Barcelona 724051017 Girona 724051025 Lleida 724051043 Tarragona 724052003 Alicante/Alacant 724052012 Castellón/Castelló 724052046 Valencia/València 724053007 Islas Baleares 724061004 Almería 724061011 Cádiz 724061014 Córdoba 724061018 Granada 724061021 Huelva 724061023 Jaén 724061029 Málaga 724061041 Sevilla 724062030 Murcia 724063051 Ceuta 724064052 Melilla 724070035 Las Palmas 724070038 Santa Cruz de Tenerife 724097097 Abroad 724099099 NIU (not in universe) Migration: O-Z Variables -- PERSON Province of residence 5 years ago, Spain; consistent boundaries, GIS MIG2_5_ES indicates the person's province of residence five years ago within Spain. Migration province codes from MIG2_5_ES are compatible with codes from GEO2_ES. 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. 724011015 A Coruña 724011027 Lugo 724011032 Ourense 724011036 Pontevedra 724012033 Asturias 724013039 Cantabria 724021001 Álava 724021020 Guipúzcoa 724021048 Vizcaya 724022031 Navarra 724023026 La Rioja 724024022 Huesca 724024044 Teruel 724024050 Zaragoza 724030028 Madrid 724041005 Ávila 724041009 Burgos 724041024 León 724041034 Palencia 724041037 Salamanca 724041040 Segovia 724041042 Soria 724041047 Valladolid 724041049 Zamora 724042002 Albacete 724042013 Ciudad Real 724042016 Cuenca 724042019 Guadalajara 724042045 Toledo 724043006 Badajoz 724043010 Cáceres 724051008 Barcelona 724051017 Girona 724051025 Lleida 724051043 Tarragona 724052003 Alicante/Alacant 724052012 Castellón/Castelló 724052046 Valencia/València 724053007 Islas Baleares 724061004 Almería 724061011 Cádiz 724061014 Córdoba 724061018 Granada 724061021 Huelva 724061023 Jaén 724061029 Málaga 724061041 Sevilla 724062030 Murcia 724063051 Ceuta 724064052 Melilla 724070035 Las Palmas 724070038 Santa Cruz de Tenerife 727097097 Abroad 727099099 NIU (not in universe) Migration: O-Z Variables -- PERSON Province of residence 10 years ago, Spain; consistent boundaries, GIS MIG2_10_ES indicates the person's province of residence ten years ago within Spain. Migration district codes from MIG2_10_ES are compatible with codes from GEO2_ES. 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. 724011015 A Coruña 724011027 Lugo 724011032 Ourense 724011036 Pontevedra 724012033 Asturias 724013039 Cantabria 724021001 Álava 724021020 Guipúzcoa 724021048 Vizcaya 724022031 Navarra 724023026 La Rioja 724024022 Huesca 724024044 Teruel 724024050 Zaragoza 724030028 Madrid 724041005 Ávila 724041009 Burgos 724041024 León 724041034 Palencia 724041037 Salamanca 724041040 Segovia 724041042 Soria 724041047 Valladolid 724041049 Zamora 724042002 Albacete 724042013 Ciudad Real 724042016 Cuenca 724042019 Guadalajara 724042045 Toledo 724043006 Badajoz 724043010 Cáceres 724051008 Barcelona 724051017 Girona 724051025 Lleida 724051043 Tarragona 724052003 Alicante/Alacant 724052012 Castellón/Castelló 724052046 Valencia/València 724053007 Islas Baleares 724061004 Almería 724061011 Cádiz 724061014 Córdoba 724061018 Granada 724061021 Huelva 724061023 Jaén 724061029 Málaga 724061041 Sevilla 724062030 Murcia 724063051 Ceuta 724064052 Melilla 724070035 Las Palmas 724070038 Santa Cruz de Tenerife 727097097 Abroad 727098098 Unknown 727099099 NIU (not in universe) Migration: O-Z Variables -- PERSON Employment disability DISEMP indicates if the respondent was economically inactive because of disabilities or, in some instances, other health-related reasons. 1 Disabled 2 Not disabled 8 Unknown 9 NIU (not in universe) Disability Variables -- PERSON Person number (within household) <svar a="all" v="ES91A003 ES91A006 ES91A400">Table: List of Persons Line number / Name / Last Names Person number 1 (householder) ___ / ___ Person number [2 - 15] ___ / ___ </svar> Spain 1991: All persons This variable indicates the person number within the household. 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 Technical Person Variables -- PERSON Order number of the person <svar a="all" v="ES91A003 ES91A006 ES91A400">Table: List of Persons Line number / Name / Last Names Person number 1 (householder) ___ / ___ Person number [2 - 15] ___ / ___ </svar> Spain 1991: All persons This variable indicates the respondent's order number. 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 Technical Person Variables -- PERSON Relationship to household head <svar a="all" v="ES91A401">2. Relationship to the householder In the case of person number 1, mark box [] 1 [x] Householder <div class="i1">[] 1 Householder [] 2 Spouse or partner [] 3 Son or daughter [] 4 Father or mother [] 5 Father-in-law or mother-in-law [] 6 Son-in-law or daughter-in-law [] 7 Grandson or granddaughter [] 8 Brother or sister, brother-in-law or sister-in-law [] 9 Other relative [] 10 Domestic servant [] 11 Guest [] 12 Other nonrelative</div> </svar> Spain 1991: All persons This variable indicates the respondent's reslationship to the head of the household. 01 Principal person 02 Spouse or partner 03 Son/daughter 04 Father or mother 05 Father/mother-in-law 06 Son/daughter-in-law 07 Grandson/daughter 08 Brother/sister, brother/sister-in-law 09 Other relative 10 Domestic service 11 Guest 12 Other relationship (not relative) Demographic Variables -- PERSON Related to someone <svar a="all" v="ES91A402 ES91A403">3. Answer only if the person's response to the previous question [Question 2, Relationship to the householder] was 10, 11, or 12 [domestic servant, guest, or other nonrelative]. Are you related to any other person listed in the Table on page 2? If he/she is related to more than one person in the Table, write the line number of the person who appears first in the Table. <div class="i1">[] 1 Yes _ _line number of the person, according to the table on page 2 [] 2 No</div> </svar> Spain 1991: Domestic servants, guests and other nonrelatives [discrepancies: none] This variable indicates if the respondent is related to someone in the household. 1 Yes 2 No 9 NIU (not in universe) Demographic Variables -- PERSON If the spouse or partner is listed <svar a="all" v="ES91A404 ES91A405">4. Is your spouse or partner listed in the Table on page 2? <div class="i1">[] 1 Yes _ _ line number of the spouse or partner, according to the table on page 2 [] 2 No</div> </svar> Spain 1991: All persons This variable indicates if the respondent's partner or spouse is listed. 1 Yes 2 No Constructed Family Interrelationship Variables -- PERSON Order number of the spouse or partner <svar a="all" v="ES91A404 ES91A405">4. Is your spouse or partner listed in the Table on page 2? <div class="i1">[] 1 Yes _ _ line number of the spouse or partner, according to the table on page 2 [] 2 No</div> </svar> Spain 1991: All persons This variable indicates the order number of the respondent's spouse or partner. 00 Spouse not listed 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 Constructed Family Interrelationship Variables -- PERSON If the father or mother is listed <svar a="all" v="ES91A406 ES91A407">5. Is your father or mother listed in the Table on page 2? <div class="i1">[] 1 Yes _ _ line number of the father or mother, according to the table on page 2 [] 2 No</div> </svar> Spain 1991: All persons This variable indicates if the respondent's mother or father is present in the household. 1 Yes 2 No Constructed Family Interrelationship Variables -- PERSON Person number of father or mother <svar a="all" v="ES91A406 ES91A407">5. Is your father or mother listed in the Table on page 2? <div class="i1">[] 1 Yes _ _ line number of the father or mother, according to the table on page 2 [] 2 No</div> </svar> Spain 1991: All persons This variable indicates the order number of the respondent's mother or father. 00 Father/mother not listed 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 Constructed Family Interrelationship Variables -- PERSON Sex <svar a="all" v="ES91A408">6. Sex <div class="i1">[] 1 Male [] 2 Female</div> </svar> Spain 1991: All persons This variable indicates the respondent's gender. 1 Male 2 Female Demographic Variables -- PERSON Year of birth <svar a="all" v="ES91A409 ES91A410 ES91A441">7. Date of birth. For example: for a person born on March, 11, 1947 Write: day 1 1 month _ 3 year 1 9 4 7 <div class="i1">_ _ day _ _ month _ _ _ _ year</div> </svar> Spain 1991: All persons This variable indicates the respondent's year of birth. 1991 1991 1990 1990 1989 1989 1988 1988 1987 1987 1986 1986 1985 1985 1984 1984 1983 1983 1982 1982 1981 1981 1980 1980 1979 1979 1978 1978 1977 1977 1976 1976 1975 1975 1974 1974 1973 1973 1972 1972 1971 1971 1970 1970 1969 1969 1968 1968 1967 1967 1966 1966 1965 1965 1964 1964 1963 1963 1962 1962 1961 1961 1960 1960 1959 1959 1958 1958 1957 1957 1956 1956 1955 1955 1954 1954 1953 1953 1952 1952 1951 1951 1950 1950 1949 1949 1948 1948 1947 1947 1946 1946 1945 1945 1944 1944 1943 1943 1942 1942 1941 1941 1940 1940 1939 1939 1938 1938 1937 1937 1936 1936 1935 1935 1934 1934 1933 1933 1932 1932 1931 1931 1930 1930 1929 1929 1928 1928 1927 1927 1926 1926 1925 1925 1924 1924 1923 1923 1922 1922 1921 1921 1920 1920 1919 1919 1918 1918 1917 1917 1916 1916 1915 1915 1914 1914 1913 1913 1912 1912 1911 1911 1910 1910 1909 1909 1908 1908 1907 1907 1906 1906 or before Nativity and Birthplace Variables -- PERSON Nationality <svar a="all" v="ES91A411 ES91A412">8. Nationality <div class="i1">[] 1 Spanish [] 2 Spanish and another nationality: Country for the other [non-Spanish] nationality: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [] 3 Foreigner Country: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [] 4 No nationality</div> </svar> Spain 1991: All persons This variable indicates whether the respondent's nationality is Spanish or not. 1 Spanish 2 Spanish and other 3 Foreigner 4 No country Nativity and Birthplace Variables -- PERSON Country of nationality <svar a="all" v="ES91A411 ES91A412">8. Nationality <div class="i1">[] 1 Spanish [] 2 Spanish and another nationality: Country for the other [non-Spanish] nationality: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [] 3 Foreigner Country: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [] 4 No nationality</div> </svar> Spain 1991: All persons This variable indicates the respondent's country of nationality. 108 Spain 110 France 115 Italy 123 Portugal 125 United Kingdom 126 Germany 188 Rest of European countries 199 Rest of Europe 228 Morocco 299 Rest of Africa 302 United States 315 Cuba 340 Argentina 351 Venezuela 377 Mexico or Canada 388 Rest of Central America and Caribbean 399 Rest of South America 555 No country 699 Asia and Oceania Nativity and Birthplace Variables -- PERSON Year of arrival in Spain <svar a="all" v="ES91A413">9. Answer only for foreigners and those with no nationality [according to the answer to question 8]: Year of arrival in Spain: <div class="i1">_ _ _ _ Year</div> </svar> Spain 1991: Non-Spanish citizens [discrepancies: type I trace; type II none] This variable indicates the respondent's year of arrival in Spain. 0 NIU (not in universe) 1 Before 1961 2 1961-1970 3 1971-1980 4 1981-1985 5 1986 6 1987 7 1988 8 1989 9 1990 and 1991 Nativity and Birthplace Variables -- PERSON Marital status <svar a="all" v="ES91A414">12. Legal marital status: Indicate legal marital status, not de facto status: <div class="i1">[] 1 Never married [] 2 Married [] 3 Widowed [] 4 Legally separated [] 5 Divorced</div> </svar> Spain 1991: All persons This variable indicates the respondent's marital status. 1 Single 2 Married 3 Widowed 4 Legally separated 5 Divorced Demographic Variables -- PERSON Municipality of birth <svar a="all" v="ES91A415 ES91A416 ES91A417 ES91A442">13. Place of birth <div class="i1">[] 1 This municipality [] 2 Another municipality in Spain: Municipality: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Province: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [] 3 In a foreign country Country: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _</div> </svar> Spain 1991: All persons This variable indicates the respondent's place of birth. 1 In the municipality where they answer the census 2 In another municipality of the same province and region 3 In another municipality in the same province and different region 4 In another municipality in a different province and the same autonomous community 5 In another municipality and another autonomous community 6 In another country Nativity and Birthplace Variables -- PERSON Communities and autonomous cities of birth Spain 1991: Persons born in a municipality different from enumeration [discrepancies: none] This variable indicates the respondent's community or autonomous city of birth. 11 Galicia 12 Principado de Asturias 13 Cantabria 21 País Vasco 22 Comunidad Foral de Navarra 23 La Rioja 24 Aragón 30 Comunidad de Madrid 41 Castilla y León 42 Castilla-La Mancha 43 Extremadura 51 Cataluña 52 Comunidad Valenciana 53 Illes Balears 61 Andalucía 62 Región de Murcia 70 Palmas (Las) 96 Ciudad Autónoma de Ceuta and de Melilla 98 In another country 99 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Province of birth <svar a="all" v="ES91A415 ES91A416 ES91A417 ES91A442">13. Place of birth <div class="i1">[] 1 This municipality [] 2 Another municipality in Spain: Municipality: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Province: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [] 3 In a foreign country Country: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _</div> </svar> Spain 1991: Persons born in a municipality different from enumeration [discrepancies: none] This variable indicates the respondent's province of birth. 00 NIU (not in universe) 01 Alava 02 Albacete 03 Alicante 04 Almeria 05 Avila 06 Badajoz 07 Baleares 08 Barcelona 09 Burgos 10 Caceres 11 Cadiz 12 Castellon de la Plana 13 Ciudad Real 14 Cordoba 15 Coruna (La) 16 Cuenca 17 Girona 18 Granada 19 Guadalajara 20 Guipuzcoa 21 Huelva 22 Huesca 23 Jaen 24 Leon 25 Lleida 26 Rioja (La) 27 Lugo 28 Madrid 29 Malaga 30 Murcia 31 Navarra 32 Orense 33 Asturias 34 Palencia 35 Palmas (Las) 36 Pontevedra 37 Salamanca 38 Santa Cruz de Tenerife 39 Cantabria 40 Segovia 41 Sevilla 42 Soria 43 Tarragona 44 Teruel 45 Toledo 46 Valencia 47 Valladolid 48 Vizcaya 49 Zamora 50 Zaragoza 66 In another country 99 Ceuta, Melilla y and other Spanish territories Nativity and Birthplace Variables -- PERSON Municipality or country of birth <svar a="all" v="ES91A415 ES91A416 ES91A417 ES91A442">13. Place of birth <div class="i1">[] 1 This municipality [] 2 Another municipality in Spain: Municipality: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Province: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [] 3 In a foreign country Country: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _</div> </svar> Spain 1991: Persons born in a municipality different from enumeration [discrepancies: none] This variable indicates the respondent's municipality or country of birth. 01036 Llodio 01059 Vitoria-Gasteiz 01999 Reminder of Alava province 02003 Albacete 02009 Almansa 02037 Hellín 02081 Villarrobledo 02999 Reminder of Albacete province 03009 Alcoy/Alcoi 03014 Alicante/Alacant 03031 Benidorm 03059 Crevillente 03063 Denia 03065 Elche/Elx 03066 Elda 03079 Ibi 03093 Novelda 03099 Orihuela 03104 Petrer 03122 San Vicente del Raspeig 03133 Torrevieja 03139 Villajoyosa/Vila Joiosa (La) 03140 Villena 03999 Reminder of Alicante province 04003 Adra 04013 Almería 04079 Roquetas de Mar 04902 Ejido (El) 04999 Reminder of Almería province 05019 Avila 05999 Reminder of Ávila province 06011 Almendralejo 06015 Badajoz 06044 Don Benito 06083 Mérida 06153 Villanueva de la Serena 06999 Reminder of Bajadoz province 07011 Calvi 07015 Ciutadella de Menorca 07026 Eivissa 07027 Inca 07032 Mahón 07033 Manacor 07040 Palma de Mallorca 07999 Reminder of Baleares province 08015 Badalona 08019 Barcelona 08056 Castelldefels 08073 Cornellé de Llobregat 08077 Esplugues de Llobregat 08089 Gav 08096 Granollers 08101 Hospitalet de Llobregat (L') 08102 Igualada 08113 Manresa 08121 Mataró 08124 Mollet del Vallès 08125 Montcada i Reixac 08169 Prat de Llobregat (El) 08172 Premi de Mar 08180 Ripollet 08184 Rubí 08187 Sabadell 08194 Sant Adri de Besòs 08200 Sant Boi de Llobregat 08205 Sant Cugat del Vallès 08211 Sant Feliu de Llobregat 08217 Sant Joan Despí 08245 Santa Coloma de Gramenet 08252 Barberá del Vallès 08263 Sant Vicenç dels Horts 08266 Cerdanyola del Vallès 08279 Terrassa 08298 Vic 08301 Viladecans 08305 Vilafranca del Penedès 08307 Vilanova i la Geltrú 08999 Reminder of Barcelona province 09018 Aranda de Duero 09059 Burgos 09219 Miranda de Ebro 09999 Reminder of Burgos province 10037 Cáceres 10148 Plasencia 10999 Reminder of Cáceres province 11004 Algeciras 11006 Arcos de la Frontera 11007 Barbate de Franco 11012 Cádiz 11015 Chiclana de la Frontera 11020 Jerez de la Frontera 11022 Línea de la Concepción (La) 11027 Puerto de Santa María (El) 11028 Puerto Real 11030 Rota 11031 San Fernando 11032 Sanlúcar de Barrameda 11033 San Roque 11999 Reminder of Cádiz province 12032 Burriana 12040 Castellón de la Plana/Castelló de la Plana 12126 Vall d'Uixó (La) 12135 Villarreal/Vila-real 12138 Vinaròs 12999 Reminder of Castellón de la Plana province 13005 Alcázar de San Juan 13034 Ciudad Real 13071 Puertollano 13082 Tomelloso 13087 Valdepeñas 13999 Reminder of Ciudad Real province 14007 Baena 14013 Cabra 14021 Córdoba 14038 Lucena 14042 Montilla 14055 Priego de Córdoba 14056 Puente Genil 14999 Reminder of Córdova province 15019 Carballo 15030 Coruña (A) 15036 Ferrol 15054 Narón 15073 Ribeira 15078 Santiago de Compostela 15999 Reminder of La Coruña province 16078 Cuenca 16999 Reminder of Cuenca province 17023 Blanes 17066 Figueres 17079 Girona 17114 Olot 17155 Salt 17999 Reminder of Girona province 18017 Almuñécar 18023 Baza 18087 Granada 18089 Guadix 18122 Loja 18140 Motril 18999 Reminder of Granada province 19130 Guadalajara 19999 Reminder of Guadalajara province 20030 Eibar 20045 Irun 20055 Arrasate o Mondragón 20067 Rentería 20069 Donostia-San Sebastián 20999 Reminder of Guipuzcoa province 21041 Huelva 21999 Reminder of Huelva province 22125 Huesca 22999 Reminder of Huesca province 23002 Alcalá la Real 23005 Andújar 23050 Jaén 23055 Linares 23060 Martos 23092 Ubeda 23999 Reminder of Jaén province 24089 León 24115 Ponferrada 24142 San Andrés del Rabanedo 24999 Reminder of León province 25120 Lleida 25999 Reminder of Lleida province 26089 Logroño 26999 Reminder of La Rioja province 27028 Lugo 27031 Monforte de Lemos 27999 Reminder of Lugo province 28005 Alcalá de Henares 28006 Alcobendas 28007 Alcorcón 28013 Aranjuez 28014 Arganda 28045 Colmenar Viejo 28047 Collado Villalba 28049 Coslada 28058 Fuenlabrada 28065 Getafe 28074 Leganés 28079 Madrid 28080 Majadahonda 28092 Móstoles 28106 Parla 28113 Pinto 28115 Pozuelo de Alarcón 28127 Rozas de Madrid (Las) 28130 San Fernando de Henares 28134 San Sebastián de los Reyes 28148 Torrejón de Ardoz 28999 Reminder of Madrid province 29015 Antequera 29025 Benalmádena 29051 Estepona 29054 Fuengirola 29067 Málaga 29069 Marbella 29070 Mijas 29084 Ronda 29094 Vélez-Málaga 29901 Torremolinos 29999 Reminder of Málaga province 30003 Aguilas 30005 Alcantarilla 30015 Caravaca de la Cruz 30016 Cartagena 30019 Cieza 30022 Jumilla 30024 Lorca 30027 Molina de Segura 30030 Murcia 30039 Totana 30043 Yecla 30999 Reminder of Murcia province 31201 Pamplona/Iruña 31232 Tudela 31999 Reminder of Navarra province 32054 Ourense 32999 Reminder of Orense province 33004 Avilés 33016 Castrillón 33024 Gijón 33031 Langreo 33037 Mieres del Camino 33044 Oviedo 33060 San Martín del Rey Aurelio 33066 Siero 33999 Reminder of Asturias province 34120 Palencia 34999 Reminder of Palencia province 35004 Arrecife 35006 Arucas 35009 Gáldar 35011 Ingenio 35016 Palmas de Gran Canaria (Las) 35019 San Bartolomé de Tirajana 35022 Santa Lucía 35026 Telde 35999 Reminder of Las Palmas province 36008 Cangas 36017 Estrada (A) 36024 Lalín 36026 Marín 36038 Pontevedra 36045 Redondela 36057 Vigo 36060 Vilagarcía de Arousa 36999 Reminder of Pontevedra province 37274 Salamanca 37999 Reminder of Salamanca province 38006 Arona 38022 Icod de los Vinos 38023 Laguna (La) 38026 Orotava (La) 38028 Puerto de la Cruz 38031 Realejos (Los) 38038 Santa Cruz de Tenerife 38999 Reminder of Santa Cruz de Tenerife province 39016 Camargo 39075 Santander 39087 Torrelavega 39999 Reminder of Cantabria province 40194 Segovia 40999 Reminder of Segovia province 41004 Alcalá de Guadaira 41021 Camas 41024 Carmona 41034 Coria del Río 41038 Dos Hermanas 41039 Ecija 41053 Lebrija 41059 Mairena del Aljarafe 41065 Morón de la Frontera 41069 Palacios y Villafranca (Los) 41081 Rinconada (La) 41086 San Juan de Aznalfarache 41091 Sevilla 41095 Utrera 41999 Reminder of Sevilla province 42173 Soria 42999 Reminder of Soria province 43123 Reus 43148 Tarragona 43155 Tortosa 43161 Valls 43999 Reminder of Tarragona province 44216 Teruel 44999 Reminder of Teruel province 45165 Talavera de la Reina 45168 Toledo 45999 Reminder of Toledo province 46005 Alaquós 46017 Alzira 46021 Aldaia 46022 Alfafar 46029 Algemesí 46078 Burjassot 46083 Carcaixent 46094 Catarroja 46102 Quart de Poblet 46105 Cullera 46110 Xirivella 46131 Gandía 46145 Xótiva 46159 Manises 46169 Mislata 46181 Oliva 46184 Ontinyent 46190 Paterna 46220 Sagunto/Sagunt 46235 Sueca 46244 Torrent 46250 Valencia 46999 Reminder of Valencia province 47186 Valladolid 47999 Reminder of Valladolid province 48013 Barakaldo 48015 Basauri 48020 Bilbao 48027 Durango 48036 Galdakao 48044 Getxo 48054 Leioa 48078 Portugalete 48082 Santurtzi 48084 Sestao 48902 Erandio 48999 Reminder of Vizcaya province 49275 Zamora 49999 Reminder of Zamora province 50297 Zaragoza 50999 Reminder of Zaragoza province 66999 Foreign country 99998 Ceuta, Melilla y and other Spanish territories 99999 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Place of residence 1 year ago <svar a="all" v="ES91A418 ES91A419 ES91A420 ES91A443">14. Place of usual residence one year ago (March 1, 1990) <div class="i1">[] 1 Not yet born [] 2 Resided in this municipality, in this same housing unit [] 3 Resided in this municipality, in a different housing unit [] 4 Resided in another municipality in Spain: Municipality: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Province: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [] 5 Resided in a foreign country Country: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _</div> </svar> Spain 1991: All persons This variable indicates the respondent's place of residence on March 1, 1990. 1 Had not been born 2 Resided in the same municipality in which he/she is completing the census and in the same dwelling 3 Resided in the same municipality in which he/she is completing the census but in a different dwelling 4 In a different municipality of the same province and the same region 5 In a different municipality of the same province and different region 6 In a different municipality of a different province and the same autonomous community 7 In a different municipality of a different province and different autonomous community 8 In another country Migration: Global Variables -- PERSON Province of residence 1 year ago <svar a="all" v="ES91A418 ES91A419 ES91A420 ES91A443">14. Place of usual residence one year ago (March 1, 1990) <div class="i1">[] 1 Not yet born [] 2 Resided in this municipality, in this same housing unit [] 3 Resided in this municipality, in a different housing unit [] 4 Resided in another municipality in Spain: Municipality: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Province: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [] 5 Resided in a foreign country Country: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _</div> </svar> Spain 1991: Persons who in March, 1990 resided in a municipality different from enumeration [discrepancies: none] This variable indicates the respondent's province of residence on March 1, 1990. 01 Alava 02 Albacete 03 Alicante 04 Almeria 05 Avila 06 Badajoz 07 Baleares 08 Barcelona 09 Burgos 10 Caceres 11 Cadiz 12 Castellon de la Plana 13 Ciudad Real 14 Cordoba 15 Coruna (La) 16 Cuenca 17 Girona 18 Granada 19 Guadalajara 20 Guipuzcoa 21 Huelva 22 Huesca 23 Jaen 24 Leon 25 Lleida 26 Rioja (La) 27 Lugo 28 Madrid 29 Malaga 30 Murcia 31 Navarra 32 Orense 33 Asturias 34 Palencia 35 Palmas (Las) 36 Pontevedra 37 Salamanca 38 Santa Cruz de Tenerife 39 Cantabria 40 Segovia 41 Sevilla 42 Soria 43 Tarragona 44 Teruel 45 Toledo 46 Valencia 47 Valladolid 48 Vizcaya 49 Zamora 50 Zaragoza 51 Ceuta 52 Melilla 66 Foreign country 99 NIU (not in universe) Migration: Global Variables -- PERSON Municipality of residence 1 year ago <svar a="all" v="ES91A418 ES91A419 ES91A420 ES91A443">14. Place of usual residence one year ago (March 1, 1990) <div class="i1">[] 1 Not yet born [] 2 Resided in this municipality, in this same housing unit [] 3 Resided in this municipality, in a different housing unit [] 4 Resided in another municipality in Spain: Municipality: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Province: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [] 5 Resided in a foreign country Country: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _</div> </svar> Spain 1991: Persons who in March, 1991 resided in a municipality different from enumeration [discrepancies: none] This variable indicates the respondent's municipality or country of residence on March 1, 1990. 01036 Llodio 01059 Vitoria-Gasteiz 01999 Reminder of Alava province 02003 Albacete 02009 Almansa 02037 Hellín 02081 Villarrobledo 02999 Reminder of Albacete province 03009 Alcoy/Alcoi 03014 Alicante/Alacant 03031 Benidorm 03059 Crevillente 03063 Denia 03065 Elche/Elx 03066 Elda 03079 Ibi 03093 Novelda 03099 Orihuela 03104 Petrer 03122 San Vicente del Raspeig 03133 Torrevieja 03139 Villajoyosa/Vila Joiosa (La) 03140 Villena 03999 Reminder of Alicante province 04003 Adra 04013 Almería 04079 Roquetas de Mar 04902 Ejido (El) 04999 Reminder of Almería province 05019 Avila 05999 Reminder of Ávila province 06011 Almendralejo 06015 Badajoz 06044 Don Benito 06083 Mérida 06153 Villanueva de la Serena 06999 Reminder of Bajadoz province 07011 Calvi 07015 Ciutadella de Menorca 07026 Eivissa 07027 Inca 07032 Mahón 07033 Manacor 07040 Palma de Mallorca 07999 Reminder of Baleares province 08015 Badalona 08019 Barcelona 08056 Castelldefels 08073 Cornellé de Llobregat 08077 Esplugues de Llobregat 08089 Gav 08096 Granollers 08101 Hospitalet de Llobregat (L') 08102 Igualada 08113 Manresa 08121 Mataró 08124 Mollet del Vallès 08125 Montcada i Reixac 08169 Prat de Llobregat (El) 08172 Premi de Mar 08180 Ripollet 08184 Rubí 08187 Sabadell 08194 Sant Adri de Besòs 08200 Sant Boi de Llobregat 08205 Sant Cugat del Vallès 08211 Sant Feliu de Llobregat 08217 Sant Joan Despí 08245 Santa Coloma de Gramenet 08252 Barberá del Vallès 08263 Sant Vicenç dels Horts 08266 Cerdanyola del Vallès 08279 Terrassa 08298 Vic 08301 Viladecans 08305 Vilafranca del Penedès 08307 Vilanova i la Geltrú 08999 Reminder of Barcelona province 09018 Aranda de Duero 09059 Burgos 09219 Miranda de Ebro 09999 Reminder of Burgos province 10037 Cáceres 10148 Plasencia 10999 Reminder of Cáceres province 11004 Algeciras 11006 Arcos de la Frontera 11007 Barbate de Franco 11012 Cádiz 11015 Chiclana de la Frontera 11020 Jerez de la Frontera 11022 Línea de la Concepción (La) 11027 Puerto de Santa María (El) 11028 Puerto Real 11030 Rota 11031 San Fernando 11032 Sanlúcar de Barrameda 11033 San Roque 11999 Reminder of Cádiz province 12032 Burriana 12040 Castellón de la Plana/Castelló de la Plana 12126 Vall d'Uixó (La) 12135 Villarreal/Vila-real 12138 Vinaròs 12999 Reminder of Castellón de la Plana province 13005 Alcázar de San Juan 13034 Ciudad Real 13071 Puertollano 13082 Tomelloso 13087 Valdepeñas 13999 Reminder of Ciudad Real province 14007 Baena 14013 Cabra 14021 Córdoba 14038 Lucena 14042 Montilla 14055 Priego de Córdoba 14056 Puente Genil 14999 Reminder of Córdova province 15019 Carballo 15030 Coruña (A) 15036 Ferrol 15054 Narón 15073 Ribeira 15078 Santiago de Compostela 15999 Reminder of La Coruña province 16078 Cuenca 16999 Reminder of Cuenca province 17023 Blanes 17066 Figueres 17079 Girona 17114 Olot 17155 Salt 17999 Reminder of Girona province 18017 Almuñécar 18023 Baza 18087 Granada 18089 Guadix 18122 Loja 18140 Motril 18999 Reminder of Granada province 19130 Guadalajara 19999 Reminder of Guadalajara province 20030 Eibar 20045 Irun 20055 Arrasate o Mondragón 20067 Rentería 20069 Donostia-San Sebastián 20999 Reminder of Guipuzcoa province 21041 Huelva 21999 Reminder of Huelva province 22125 Huesca 22999 Reminder of Huesca province 23002 Alcalá la Real 23005 Andújar 23050 Jaén 23055 Linares 23060 Martos 23092 Ubeda 23999 Reminder of Jaén province 24089 León 24115 Ponferrada 24142 San Andrés del Rabanedo 24999 Reminder of León province 25120 Lleida 25999 Reminder of Lleida province 26089 Logroño 26999 Reminder of La Rioja province 27028 Lugo 27031 Monforte de Lemos 27999 Reminder of Lugo province 28005 Alcalá de Henares 28006 Alcobendas 28007 Alcorcón 28013 Aranjuez 28014 Arganda 28045 Colmenar Viejo 28047 Collado Villalba 28049 Coslada 28058 Fuenlabrada 28065 Getafe 28074 Leganés 28079 Madrid 28080 Majadahonda 28092 Móstoles 28106 Parla 28113 Pinto 28115 Pozuelo de Alarcón 28127 Rozas de Madrid (Las) 28130 San Fernando de Henares 28134 San Sebastián de los Reyes 28148 Torrejón de Ardoz 28999 Reminder of Madrid province 29015 Antequera 29025 Benalmádena 29051 Estepona 29054 Fuengirola 29067 Málaga 29069 Marbella 29070 Mijas 29084 Ronda 29094 Vélez-Málaga 29901 Torremolinos 29999 Reminder of Málaga province 30003 Aguilas 30005 Alcantarilla 30015 Caravaca de la Cruz 30016 Cartagena 30019 Cieza 30022 Jumilla 30024 Lorca 30027 Molina de Segura 30030 Murcia 30039 Totana 30043 Yecla 30999 Reminder of Murcia province 31201 Pamplona/Iruña 31232 Tudela 31999 Reminder of Navarra province 32054 Ourense 32999 Reminder of Orense province 33004 Avilés 33016 Castrillón 33024 Gijón 33031 Langreo 33037 Mieres del Camino 33044 Oviedo 33060 San Martín del Rey Aurelio 33066 Siero 33999 Reminder of Asturias province 34120 Palencia 34999 Reminder of Palencia province 35004 Arrecife 35006 Arucas 35009 Gáldar 35011 Ingenio 35016 Palmas de Gran Canaria (Las) 35019 San Bartolomé de Tirajana 35022 Santa Lucía 35026 Telde 35999 Reminder of Las Palmas province 36008 Cangas 36017 Estrada (A) 36024 Lalín 36026 Marín 36038 Pontevedra 36045 Redondela 36057 Vigo 36060 Vilagarcía de Arousa 36999 Reminder of Pontevedra province 37274 Salamanca 37999 Reminder of Salamanca province 38006 Arona 38022 Icod de los Vinos 38023 Laguna (La) 38026 Orotava (La) 38028 Puerto de la Cruz 38031 Realejos (Los) 38038 Santa Cruz de Tenerife 38999 Reminder of Santa Cruz de Tenerife province 39016 Camargo 39075 Santander 39087 Torrelavega 39999 Reminder of Cantabria province 40194 Segovia 40999 Reminder of Segovia province 41004 Alcalá de Guadaira 41021 Camas 41024 Carmona 41034 Coria del Río 41038 Dos Hermanas 41039 Ecija 41053 Lebrija 41059 Mairena del Aljarafe 41065 Morón de la Frontera 41069 Palacios y Villafranca (Los) 41081 Rinconada (La) 41086 San Juan de Aznalfarache 41091 Sevilla 41095 Utrera 41999 Reminder of Sevilla province 42173 Soria 42999 Reminder of Soria province 43123 Reus 43148 Tarragona 43155 Tortosa 43161 Valls 43999 Reminder of Tarragona province 44216 Teruel 44999 Reminder of Teruel province 45165 Talavera de la Reina 45168 Toledo 45999 Reminder of Toledo province 46005 Alaquós 46017 Alzira 46021 Aldaia 46022 Alfafar 46029 Algemesí 46078 Burjassot 46083 Carcaixent 46094 Catarroja 46102 Quart de Poblet 46105 Cullera 46110 Xirivella 46131 Gandía 46145 Xótiva 46159 Manises 46169 Mislata 46181 Oliva 46184 Ontinyent 46190 Paterna 46220 Sagunto/Sagunt 46235 Sueca 46244 Torrent 46250 Valencia 46999 Reminder of Valencia province 47186 Valladolid 47999 Reminder of Valladolid province 48013 Barakaldo 48015 Basauri 48020 Bilbao 48027 Durango 48036 Galdakao 48044 Getxo 48054 Leioa 48078 Portugalete 48082 Santurtzi 48084 Sestao 48902 Erandio 48999 Reminder of Vizcaya province 49275 Zamora 49999 Reminder of Zamora province 50297 Zaragoza 50999 Reminder of Zaragoza province 51001 Ceuta 52001 Melilla 66999 Foreign country 99999 NIU (not in universe) Migration: Global Variables -- PERSON Place of residence 5 years ago <svar a="all" v="ES91A421 ES91A422 ES91A423 ES91A444">15. Place of usual residence five years ago (April 1, 1986, the last date when the list of registered voters was updated) <div class="i1">[] 1 Not yet born [] 2 Resided in this municipality, in this same housing unit [] 3 Resided in this municipality, in another housing unit [] 4 Resided in another municipality in Spain: Municipality: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Province: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [] 5 Resided in a foreign country Country: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _</div> </svar> Spain 1991: All persons This variable indicates the respondent's place of residence on April 1, 1986. 1 Had not been born 2 Resided in the same municipality in which he/she is completing the census and in the same dwelling 3 Resided in the same municipality in which he/she is completing the census but in a different dwelling 4 In a different municipality of the same province and the same region 5 In a different municipality of different province and different region 6 In a different municipality of a different province and the same autonomous community 7 In a different municipality of a different province and different autonomous community 8 In another country Migration: Global Variables -- PERSON Province of residence 5 years ago <svar a="all" v="ES91A421 ES91A422 ES91A423 ES91A444">15. Place of usual residence five years ago (April 1, 1986, the last date when the list of registered voters was updated) <div class="i1">[] 1 Not yet born [] 2 Resided in this municipality, in this same housing unit [] 3 Resided in this municipality, in another housing unit [] 4 Resided in another municipality in Spain: Municipality: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Province: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [] 5 Resided in a foreign country Country: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _</div> </svar> Spain 1991: Persons who on April, 1986 resided in a municipality different from enumeration [discrepancies: none] This variable indicates the respondent's province of residence on April 1, 1986. 01 Alava 02 Albacete 03 Alicante 04 Almeria 05 Avila 06 Badajoz 07 Baleares 08 Barcelona 09 Burgos 10 Caceres 11 Cadiz 12 Castellon de la Plana 13 Ciudad Real 14 Cordoba 15 Coruna (La) 16 Cuenca 17 Girona 18 Granada 19 Guadalajara 20 Guipuzcoa 21 Huelva 22 Huesca 23 Jaen 24 Leon 25 Lleida 26 Rioja (La) 27 Lugo 28 Madrid 29 Malaga 30 Murcia 31 Navarra 32 Orense 33 Asturias 34 Palencia 35 Palmas (Las) 36 Pontevedra 37 Salamanca 38 Santa Cruz de Tenerife 39 Cantabria 40 Segovia 41 Sevilla 42 Soria 43 Tarragona 44 Teruel 45 Toledo 46 Valencia 47 Valladolid 48 Vizcaya 49 Zamora 50 Zaragoza 51 Ceuta 52 Melilla 66 Foreign country 99 NIU (not in universe) Migration: Global Variables -- PERSON Municipality or country of residence 5 years ago <svar a="all" v="ES91A421 ES91A422 ES91A423 ES91A444">15. Place of usual residence five years ago (April 1, 1986, the last date when the list of registered voters was updated) <div class="i1">[] 1 Not yet born [] 2 Resided in this municipality, in this same housing unit [] 3 Resided in this municipality, in another housing unit [] 4 Resided in another municipality in Spain: Municipality: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Province: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [] 5 Resided in a foreign country Country: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _</div> </svar> Spain 1991: Persons who on April, 1986 resided in a municipality different from enumeration [discrepancies: none] This variable indicates the respondent's municipality or country of residence on April 1, 1986. 01036 Llodio 01059 Vitoria-Gasteiz 01999 Reminder of Alava province 02003 Albacete 02009 Almansa 02037 Hellín 02081 Villarrobledo 02999 Reminder of Albacete province 03009 Alcoy/Alcoi 03014 Alicante/Alacant 03031 Benidorm 03059 Crevillente 03063 Denia 03065 Elche/Elx 03066 Elda 03079 Ibi 03093 Novelda 03099 Orihuela 03104 Petrer 03122 San Vicente del Raspeig 03133 Torrevieja 03139 Villajoyosa/Vila Joiosa (La) 03140 Villena 03999 Reminder of Alicante province 04003 Adra 04013 Almería 04079 Roquetas de Mar 04902 Ejido (El) 04999 Reminder of Almería province 05019 Avila 05999 Reminder of Ávila province 06011 Almendralejo 06015 Badajoz 06044 Don Benito 06083 Mérida 06153 Villanueva de la Serena 06999 Reminder of Bajadoz province 07015 Ciutadella de Menorca 07026 Eivissa 07027 Inca 07032 Mahón 07033 Manacor 07040 Palma de Mallorca 07999 Reminder of Baleares province 08015 Badalona 08019 Barcelona 08056 Castelldefels 08073 Cornellé de Llobregat 08077 Esplugues de Llobregat 08089 Gav 08096 Granollers 08101 Hospitalet de Llobregat (L') 08102 Igualada 08113 Manresa 08121 Mataró 08124 Mollet del Vallès 08125 Montcada i Reixac 08169 Prat de Llobregat (El) 08172 Premi de Mar 08180 Ripollet 08184 Rubí 08187 Sabadell 08194 Sant Adri de Besòs 08200 Sant Boi de Llobregat 08205 Sant Cugat del Vallès 08211 Sant Feliu de Llobregat 08217 Sant Joan Despí 08245 Santa Coloma de Gramenet 08252 Barberá del Vallès 08263 Sant Vicenç dels Horts 08266 Cerdanyola del Vallès 08279 Terrassa 08298 Vic 08301 Viladecans 08305 Vilafranca del Penedès 08307 Vilanova i la Geltrú 08999 Reminder of Barcelona province 09018 Aranda de Duero 09059 Burgos 09219 Miranda de Ebro 09999 Reminder of Burgos province 10037 Cáceres 10148 Plasencia 10999 Reminder of Cáceres province 11004 Algeciras 11006 Arcos de la Frontera 11007 Barbate de Franco 11012 Cádiz 11015 Chiclana de la Frontera 11020 Jerez de la Frontera 11022 Línea de la Concepción (La) 11027 Puerto de Santa María (El) 11028 Puerto Real 11030 Rota 11031 San Fernando 11032 Sanlúcar de Barrameda 11033 San Roque 11999 Reminder of Cádiz province 12032 Burriana 12040 Castellón de la Plana/Castelló de la Plana 12126 Vall d'Uixó (La) 12135 Villarreal/Vila-real 12138 Vinaròs 12999 Reminder of Castellón de la Plana province 13005 Alcázar de San Juan 13034 Ciudad Real 13071 Puertollano 13082 Tomelloso 13087 Valdepeñas 13999 Reminder of Ciudad Real province 14007 Baena 14013 Cabra 14021 Córdoba 14038 Lucena 14042 Montilla 14055 Priego de Córdoba 14056 Puente Genil 14999 Reminder of Córdova province 15019 Carballo 15030 Coruña (A) 15036 Ferrol 15054 Narón 15073 Ribeira 15078 Santiago de Compostela 15999 Reminder of La Coruña province 16078 Cuenca 16999 Reminder of Cuenca province 17023 Blanes 17066 Figueres 17079 Girona 17114 Olot 17155 Salt 17999 Reminder of Girona province 18017 Almuñécar 18023 Baza 18087 Granada 18089 Guadix 18122 Loja 18140 Motril 18999 Reminder of Granada province 19130 Guadalajara 19999 Reminder of Guadalajara province 20030 Eibar 20045 Irun 20055 Arrasate o Mondragón 20067 Rentería 20069 Donostia-San Sebastián 20999 Reminder of Guipuzcoa province 21041 Huelva 21999 Reminder of Huelva province 22125 Huesca 22999 Reminder of Huesca province 23002 Alcalá la Real 23005 Andújar 23050 Jaén 23055 Linares 23060 Martos 23092 Ubeda 23999 Reminder of Jaén province 24089 León 24115 Ponferrada 24999 Reminder of León province 25120 Lleida 25999 Reminder of Lleida province 26089 Logroño 26999 Reminder of La Rioja province 27028 Lugo 27031 Monforte de Lemos 27999 Reminder of Lugo province 28005 Alcalá de Henares 28006 Alcobendas 28007 Alcorcón 28013 Aranjuez 28014 Arganda 28045 Colmenar Viejo 28047 Collado Villalba 28049 Coslada 28058 Fuenlabrada 28065 Getafe 28074 Leganés 28079 Madrid 28080 Majadahonda 28092 Móstoles 28106 Parla 28113 Pinto 28115 Pozuelo de Alarcón 28130 San Fernando de Henares 28134 San Sebastián de los Reyes 28148 Torrejón de Ardoz 28999 Reminder of Madrid province 29015 Antequera 29025 Benalmádena 29051 Estepona 29054 Fuengirola 29067 Málaga 29069 Marbella 29070 Mijas 29084 Ronda 29094 Vélez-Málaga 29999 Reminder of Málaga province 30003 Aguilas 30005 Alcantarilla 30015 Caravaca de la Cruz 30016 Cartagena 30019 Cieza 30022 Jumilla 30024 Lorca 30027 Molina de Segura 30030 Murcia 30039 Totana 30043 Yecla 30999 Reminder of Murcia province 31201 Pamplona/Iruña 31232 Tudela 31999 Reminder of Navarra province 32054 Ourense 32999 Reminder of Orense province 33004 Avilés 33016 Castrillón 33024 Gijón 33031 Langreo 33037 Mieres del Camino 33044 Oviedo 33060 San Martín del Rey Aurelio 33066 Siero 33999 Reminder of Asturias province 34120 Palencia 34999 Reminder of Palencia province 35004 Arrecife 35006 Arucas 35009 Gáldar 35011 Ingenio 35016 Palmas de Gran Canaria (Las) 35019 San Bartolomé de Tirajana 35022 Santa Lucía 35026 Telde 35999 Reminder of Las Palmas province 36008 Cangas 36017 Estrada (A) 36024 Lalín 36026 Marín 36038 Pontevedra 36045 Redondela 36057 Vigo 36060 Vilagarcía de Arousa 36999 Reminder of Pontevedra province 37274 Salamanca 37999 Reminder of Salamanca province 38006 Arona 38022 Icod de los Vinos 38023 Laguna (La) 38026 Orotava (La) 38028 Puerto de la Cruz 38031 Realejos (Los) 38038 Santa Cruz de Tenerife 38999 Reminder of Santa Cruz de Tenerife province 39016 Camargo 39075 Santander 39087 Torrelavega 39999 Reminder of Cantabria province 40194 Segovia 40999 Reminder of Segovia province 41004 Alcalá de Guadaira 41021 Camas 41024 Carmona 41034 Coria del Río 41038 Dos Hermanas 41039 Ecija 41053 Lebrija 41065 Morón de la Frontera 41069 Palacios y Villafranca (Los) 41081 Rinconada (La) 41086 San Juan de Aznalfarache 41091 Sevilla 41095 Utrera 41999 Reminder of Sevilla province 42173 Soria 42999 Reminder of Soria province 43123 Reus 43148 Tarragona 43155 Tortosa 43161 Valls 43999 Reminder of Tarragona province 44216 Teruel 44999 Reminder of Teruel province 45165 Talavera de la Reina 45168 Toledo 45999 Reminder of Toledo province 46005 Alaquós 46017 Alzira 46021 Aldaia 46022 Alfafar 46029 Algemesí 46078 Burjassot 46083 Carcaixent 46094 Catarroja 46102 Quart de Poblet 46105 Cullera 46110 Xirivella 46131 Gandía 46145 Xótiva 46159 Manises 46169 Mislata 46181 Oliva 46184 Ontinyent 46190 Paterna 46220 Sagunto/Sagunt 46235 Sueca 46244 Torrent 46250 Valencia 46999 Reminder of Valencia province 47186 Valladolid 47999 Reminder of Valladolid province 48013 Barakaldo 48015 Basauri 48020 Bilbao 48027 Durango 48036 Galdakao 48044 Getxo 48054 Leioa 48078 Portugalete 48082 Santurtzi 48084 Sestao 48902 Erandio 48999 Reminder of Vizcaya province 49275 Zamora 49999 Reminder of Zamora province 50297 Zaragoza 50999 Reminder of Zaragoza province 51001 Ceuta 52001 Melilla 66999 Foreign country 99999 NIU (not in universe) Migration: Global Variables -- PERSON Place of residence 10 years ago <svar a="all" v="ES91A424 ES91A425 ES91A426 ES91A445">16. Place of usual residence ten years ago (March 1, 1981, the date of the previous Population Census) <div class="i1">[] 1 Not yet born [] 2 Resided in this municipality, in this same housing unit [] 3 Resided in this municipality, in another housing unit [] 4 Resided in another municipality in Spain: Municipality: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Province: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [] 5 Resided in a foreign country Country: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _</div> </svar> Spain 1991: Persons age 10+ [discrepancies: none] This variable indicates the respondent's place of residence on March 1, 1981. 0 NIU (not in universe) 2 Resided in the same municipality in which he/she is completing the census and in the same dwelling 3 Resided in the same municipality in which he/she is completing the census but in a different dwelling 4 In a different municipality of the same province and the same region 5 In a different municipality of the same province and different region 6 In a different municipality of a different province and the same autonomous community 7 In a different municipality of a different province and different autonomous community 8 In another country Migration: Global Variables -- PERSON Province of residence 10 years ago <svar a="all" v="ES91A424 ES91A425 ES91A426 ES91A445">16. Place of usual residence ten years ago (March 1, 1981, the date of the previous Population Census) <div class="i1">[] 1 Not yet born [] 2 Resided in this municipality, in this same housing unit [] 3 Resided in this municipality, in another housing unit [] 4 Resided in another municipality in Spain: Municipality: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Province: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [] 5 Resided in a foreign country Country: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _</div> </svar> Spain 1991: Persons age 10+ who in March, 1981 resided in a municipality different from enumeration [discrepancies: none] This variable indicates the respondent's province of residence on March 1, 1981. 01 Alava 02 Albacete 03 Alicante 04 Almeria 05 Avila 06 Badajoz 07 Baleares 08 Barcelona 09 Burgos 10 Caceres 11 Cadiz 12 Castellon de la Plana 13 Ciudad Real 14 Cordoba 15 Coruna (La) 16 Cuenca 17 Girona 18 Granada 19 Guadalajara 20 Guipuzcoa 21 Huelva 22 Huesca 23 Jaen 24 Leon 25 Lleida 26 Rioja (La) 27 Lugo 28 Madrid 29 Malaga 30 Murcia 31 Navarra 32 Orense 33 Asturias 34 Palencia 35 Palmas (Las) 36 Pontevedra 37 Salamanca 38 Santa Cruz de Tenerife 39 Cantabria 40 Segovia 41 Sevilla 42 Soria 43 Tarragona 44 Teruel 45 Toledo 46 Valencia 47 Valladolid 48 Vizcaya 49 Zamora 50 Zaragoza 51 Ceuta 52 Melilla 66 In another country (RESI81B = 8) 99 NIU (not in universe) Migration: Global Variables -- PERSON Municipality of residence 10 years ago <svar a="all" v="ES91A424 ES91A425 ES91A426 ES91A445">16. Place of usual residence ten years ago (March 1, 1981, the date of the previous Population Census) <div class="i1">[] 1 Not yet born [] 2 Resided in this municipality, in this same housing unit [] 3 Resided in this municipality, in another housing unit [] 4 Resided in another municipality in Spain: Municipality: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Province: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [] 5 Resided in a foreign country Country: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _</div> </svar> Spain 1991: Persons age 10+ who in March, 1981 resided in a municipality different from enumeration [discrepancies: none] This variable indicates the respondent's municipality of residence on March 1, 1981. 01036 Llodio 01059 Vitoria-Gasteiz 01999 Reminder of Alava province 02003 Albacete 02009 Almansa 02037 Hellín 02081 Villarrobledo 02999 Reminder of Albacete province 03009 Alcoy/Alcoi 03014 Alicante/Alacant 03031 Benidorm 03059 Crevillente 03063 Denia 03065 Elche/Elx 03066 Elda 03079 Ibi 03093 Novelda 03099 Orihuela 03104 Petrer 03122 San Vicente del Raspeig 03139 Villajoyosa/Vila Joiosa (La) 03140 Villena 03999 Reminder of Alicante province 04003 Adra 04013 Almería 04079 Roquetas de Mar 04999 Reminder of Almería province 05019 Avila 05999 Reminder of Ávila province 06011 Almendralejo 06015 Badajoz 06044 Don Benito 06083 Mérida 06153 Villanueva de la Serena 06999 Reminder of Bajadoz province 07015 Ciutadella de Menorca 07026 Eivissa 07027 Inca 07032 Mahón 07033 Manacor 07040 Palma de Mallorca 07999 Reminder of Baleares province 08015 Badalona 08019 Barcelona 08056 Castelldefels 08073 Cornellé de Llobregat 08077 Esplugues de Llobregat 08089 Gav 08096 Granollers 08101 Hospitalet de Llobregat (L') 08102 Igualada 08113 Manresa 08121 Mataró 08124 Mollet del Vallès 08125 Montcada i Reixac 08169 Prat de Llobregat (El) 08172 Premi de Mar 08180 Ripollet 08184 Rubí 08187 Sabadell 08194 Sant Adri de Besòs 08200 Sant Boi de Llobregat 08205 Sant Cugat del Vallès 08211 Sant Feliu de Llobregat 08217 Sant Joan Despí 08245 Santa Coloma de Gramenet 08252 Barberá del Vallès 08263 Sant Vicenç dels Horts 08266 Cerdanyola del Vallès 08279 Terrassa 08298 Vic 08301 Viladecans 08305 Vilafranca del Penedès 08307 Vilanova i la Geltrú 08999 Reminder of Barcelona province 09018 Aranda de Duero 09059 Burgos 09219 Miranda de Ebro 09999 Reminder of Burgos province 10037 Cáceres 10148 Plasencia 10999 Reminder of Cáceres province 11004 Algeciras 11006 Arcos de la Frontera 11007 Barbate de Franco 11012 Cádiz 11015 Chiclana de la Frontera 11020 Jerez de la Frontera 11022 Línea de la Concepción (La) 11027 Puerto de Santa María (El) 11028 Puerto Real 11030 Rota 11031 San Fernando 11032 Sanlúcar de Barrameda 11033 San Roque 11999 Reminder of Cádiz province 12032 Burriana 12040 Castellón de la Plana/Castelló de la Plana 12126 Vall d'Uixó (La) 12135 Villarreal/Vila-real 12138 Vinaròs 12999 Reminder of Castellón de la Plana province 13005 Alcázar de San Juan 13034 Ciudad Real 13071 Puertollano 13082 Tomelloso 13087 Valdepeñas 13999 Reminder of Ciudad Real province 14007 Baena 14013 Cabra 14021 Córdoba 14038 Lucena 14042 Montilla 14055 Priego de Córdoba 14056 Puente Genil 14999 Reminder of Córdova province 15019 Carballo 15030 Coruña (A) 15036 Ferrol 15054 Narón 15073 Ribeira 15078 Santiago de Compostela 15999 Reminder of La Coruña province 16078 Cuenca 16999 Reminder of Cuenca province 17023 Blanes 17066 Figueres 17079 Girona 17114 Olot 17999 Reminder of Girona province 18023 Baza 18087 Granada 18089 Guadix 18122 Loja 18140 Motril 18999 Reminder of Granada province 19130 Guadalajara 19999 Reminder of Guadalajara province 20030 Eibar 20045 Irun 20055 Arrasate o Mondragón 20067 Rentería 20069 Donostia-San Sebastián 20999 Reminder of Guipuzcoa province 21041 Huelva 21999 Reminder of Huelva province 22125 Huesca 22999 Reminder of Huesca province 23002 Alcalá la Real 23005 Andújar 23050 Jaén 23055 Linares 23060 Martos 23092 Ubeda 23999 Reminder of Jaén province 24089 León 24115 Ponferrada 24999 Reminder of León province 25120 Lleida 25999 Reminder of Lleida province 26089 Logroño 26999 Reminder of La Rioja province 27028 Lugo 27031 Monforte de Lemos 27999 Reminder of Lugo province 28005 Alcalá de Henares 28006 Alcobendas 28007 Alcorcón 28013 Aranjuez 28014 Arganda 28045 Colmenar Viejo 28047 Collado Villalba 28049 Coslada 28058 Fuenlabrada 28065 Getafe 28074 Leganés 28079 Madrid 28080 Majadahonda 28092 Móstoles 28106 Parla 28113 Pinto 28115 Pozuelo de Alarcón 28130 San Fernando de Henares 28134 San Sebastián de los Reyes 28148 Torrejón de Ardoz 28999 Reminder of Madrid province 29015 Antequera 29051 Estepona 29054 Fuengirola 29067 Málaga 29069 Marbella 29084 Ronda 29094 Vélez-Málaga 29999 Reminder of Málaga province 30003 Aguilas 30005 Alcantarilla 30015 Caravaca de la Cruz 30016 Cartagena 30019 Cieza 30022 Jumilla 30024 Lorca 30027 Molina de Segura 30030 Murcia 30039 Totana 30043 Yecla 30999 Reminder of Murcia province 31201 Pamplona/Iruña 31232 Tudela 31999 Reminder of Navarra province 32054 Ourense 32999 Reminder of Orense province 33004 Avilés 33016 Castrillón 33024 Gijón 33031 Langreo 33037 Mieres del Camino 33044 Oviedo 33060 San Martín del Rey Aurelio 33066 Siero 33999 Reminder of Asturias province 34120 Palencia 34999 Reminder of Palencia province 35004 Arrecife 35006 Arucas 35009 Gáldar 35011 Ingenio 35016 Palmas de Gran Canaria (Las) 35019 San Bartolomé de Tirajana 35022 Santa Lucía 35026 Telde 35999 Reminder of Las Palmas province 36008 Cangas 36017 Estrada (A) 36024 Lalín 36026 Marín 36038 Pontevedra 36045 Redondela 36057 Vigo 36060 Vilagarcía de Arousa 36999 Reminder of Pontevedra province 37274 Salamanca 37999 Reminder of Salamanca province 38022 Icod de los Vinos 38023 Laguna (La) 38026 Orotava (La) 38028 Puerto de la Cruz 38031 Realejos (Los) 38038 Santa Cruz de Tenerife 38999 Reminder of Santa Cruz de Tenerife province 39016 Camargo 39075 Santander 39087 Torrelavega 39999 Reminder of Cantabria province 40194 Segovia 40999 Reminder of Segovia province 41004 Alcalá de Guadaira 41021 Camas 41024 Carmona 41034 Coria del Río 41038 Dos Hermanas 41039 Ecija 41053 Lebrija 41065 Morón de la Frontera 41069 Palacios y Villafranca (Los) 41081 Rinconada (La) 41086 San Juan de Aznalfarache 41091 Sevilla 41095 Utrera 41999 Reminder of Sevilla province 42173 Soria 42999 Reminder of Soria province 43123 Reus 43148 Tarragona 43155 Tortosa 43161 Valls 43999 Reminder of Tarragona province 44216 Teruel 44999 Reminder of Teruel province 45165 Talavera de la Reina 45168 Toledo 45999 Reminder of Toledo province 46005 Alaquós 46017 Alzira 46021 Aldaia 46022 Alfafar 46029 Algemesí 46078 Burjassot 46083 Carcaixent 46094 Catarroja 46102 Quart de Poblet 46105 Cullera 46110 Xirivella 46131 Gandía 46145 Xótiva 46159 Manises 46169 Mislata 46181 Oliva 46184 Ontinyent 46190 Paterna 46220 Sagunto/Sagunt 46235 Sueca 46244 Torrent 46250 Valencia 46999 Reminder of Valencia province 47186 Valladolid 47999 Reminder of Valladolid province 48013 Barakaldo 48015 Basauri 48020 Bilbao 48027 Durango 48036 Galdakao 48044 Getxo 48054 Leioa 48078 Portugalete 48082 Santurtzi 48084 Sestao 48999 Reminder of Vizcaya province 49275 Zamora 49999 Reminder of Zamora province 50297 Zaragoza 50999 Reminder of Zaragoza province 51001 Ceuta 52001 Melilla 66999 Foreign country 99999 NIU (not in universe) Migration: Global Variables -- PERSON Year of arrival to municipality of residence <svar a="all" v="ES91A427 ES91A428 ES91A429 ES91A430 ES91A446">17. To be answered only by persons who have resided in another municipality in the past ten years Indicate the year in which you made this municipality your place of residence. Also specify your previous place of residence. <div class="i1">1 9 _ _ Year [] 1 Moved from another municipality in Spain: Municipality: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Province: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [] 6 Moved from a foreign country Country: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _</div> </svar> Spain 1991: Persons who have resided in another municipality within the past 10 years [discrepancies: not verifiable] This variable indicates the respondent's year of arrival to the municipality of residency. 00 NIU (not in universe) 01 1990 and 1991 02 1989 03 1988 04 1987 05 1986 06 1985 07 1984 08 1983 09 1982 10 1981 Migration: Global Variables -- PERSON Place of previous residence <svar a="all" v="ES91A427 ES91A428 ES91A429 ES91A430 ES91A446">17. To be answered only by persons who have resided in another municipality in the past ten years Indicate the year in which you made this municipality your place of residence. Also specify your previous place of residence. <div class="i1">1 9 _ _ Year [] 1 Moved from another municipality in Spain: Municipality: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Province: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [] 6 Moved from a foreign country Country: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _</div> </svar> Spain 1991: Persons who have resided in another municipality within the past 10 years [discrepancies: not verifiable] This variable indicates the respondent's place of previous residence (in terms of municipality, province, and country). 0 NIU (not in universe) 1 In a different municipality of the same province and the same region 2 In a different municipality of the same province and different region 3 In a different municipality of a different province and the same autonomous community 4 In a different municipality of a different province and different autonomous community 5 In another country Migration: Global Variables -- PERSON Communities and autonomous cities of previous residency Spain 1991: Persons who have resided in another municipality within the past 10 years [discrepancies: not verifiable] This variable indicates the respondent's community or autonomous city of previous residence. 11 Galicia 12 Principado de Asturias 13 Cantabria 21 País Vasco 22 Comunidad Foral de Navarra 23 La Rioja 24 Aragón 30 Comunidad de Madrid 41 Castilla y León 42 Castilla-La Mancha 43 Extremadura 51 Cataluña 52 Comunidad Valenciana 53 Illes Balears 61 Andalucía 62 Región de Murcia 63 Ciudad Autónoma de Ceuta 64 Ciudad Autónoma de Melilla 70 Canarias 98 In another country 99 NIU (not in universe) Migration: Global Variables -- PERSON Province of previous residence <svar a="all" v="ES91A427 ES91A428 ES91A429 ES91A430 ES91A446">17. To be answered only by persons who have resided in another municipality in the past ten years Indicate the year in which you made this municipality your place of residence. Also specify your previous place of residence. <div class="i1">1 9 _ _ Year [] 1 Moved from another municipality in Spain: Municipality: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Province: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [] 6 Moved from a foreign country Country: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _</div> </svar> Spain 1991: Persons who have resided in another municipality within the past 10 years [discrepancies: not verifiable] This variable indicates the respondent's province of previous residence. 00 NIU (not in universe) 01 Alava 02 Albacete 03 Alicante 04 Almeria 05 Avila 06 Badajoz 07 Baleares 08 Barcelona 09 Burgos 10 Caceres 11 Cadiz 12 Castellon de la Plana 13 Ciudad Real 14 Cordoba 15 Coruna (La) 16 Cuenca 17 Girona 18 Granada 19 Guadalajara 20 Guipuzcoa 21 Huelva 22 Huesca 23 Jaen 24 Leon 25 Lleida 26 Rioja (La) 27 Lugo 28 Madrid 29 Malaga 30 Murcia 31 Navarra 32 Orense 33 Asturias 34 Palencia 35 Palmas (Las) 36 Pontevedra 37 Salamanca 38 Santa Cruz de Tenerife 39 Cantabria 40 Segovia 41 Sevilla 42 Soria 43 Tarragona 44 Teruel 45 Toledo 46 Valencia 47 Valladolid 48 Vizcaya 49 Zamora 50 Zaragoza 51 Ceuta 52 Melilla 66 In another country Migration: Global Variables -- PERSON Municipality or country of previous residence <svar a="all" v="ES91A427 ES91A428 ES91A429 ES91A430 ES91A446">17. To be answered only by persons who have resided in another municipality in the past ten years Indicate the year in which you made this municipality your place of residence. Also specify your previous place of residence. <div class="i1">1 9 _ _ Year [] 1 Moved from another municipality in Spain: Municipality: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Province: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [] 6 Moved from a foreign country Country: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _</div> </svar> Spain 1991: Persons who have resided in another municipality within the past 10 years [discrepancies: not verifiable] This variable indicates the respondent's municipality or country of previous residency. 00000 NIU (not in universe) 01036 Llodio 01059 Vitoria-Gasteiz 01999 Reminder of Alava province 02003 Albacete 02009 Almansa 02037 Hellín 02081 Villarrobledo 02999 Reminder of Albacete province 03009 Alcoy/Alcoi 03014 Alicante/Alacant 03031 Benidorm 03059 Crevillente 03063 Denia 03065 Elche/Elx 03066 Elda 03079 Ibi 03093 Novelda 03099 Orihuela 03104 Petrer 03122 San Vicente del Raspeig 03133 Torrevieja 03139 Villajoyosa/Vila Joiosa (La) 03140 Villena 03999 Reminder of Alicante province 04003 Adra 04013 Almería 04079 Roquetas de Mar 04902 Ejido (El) 04999 Reminder of Almería province 05019 Avila 05999 Reminder of Ávila province 06011 Almendralejo 06015 Badajoz 06044 Don Benito 06083 Mérida 06153 Villanueva de la Serena 06999 Reminder of Bajadoz province 07011 Calvi 07015 Ciutadella de Menorca 07026 Eivissa 07027 Inca 07032 Mahón 07033 Manacor 07040 Palma de Mallorca 07999 Reminder of Baleares province 08015 Badalona 08019 Barcelona 08056 Castelldefels 08073 Cornellé de Llobregat 08077 Esplugues de Llobregat 08089 Gav 08096 Granollers 08101 Hospitalet de Llobregat (L') 08102 Igualada 08113 Manresa 08121 Mataró 08124 Mollet del Vallès 08125 Montcada i Reixac 08169 Prat de Llobregat (El) 08172 Premi de Mar 08180 Ripollet 08184 Rubí 08187 Sabadell 08194 Sant Adri de Besòs 08200 Sant Boi de Llobregat 08205 Sant Cugat del Vallès 08211 Sant Feliu de Llobregat 08217 Sant Joan Despí 08245 Santa Coloma de Gramenet 08252 Barberá del Vallès 08263 Sant Vicenç dels Horts 08266 Cerdanyola del Vallès 08279 Terrassa 08298 Vic 08301 Viladecans 08305 Vilafranca del Penedès 08307 Vilanova i la Geltrú 08999 Reminder of Barcelona province 09018 Aranda de Duero 09059 Burgos 09219 Miranda de Ebro 09999 Reminder of Burgos province 10037 Cáceres 10148 Plasencia 10999 Reminder of Cáceres province 11004 Algeciras 11006 Arcos de la Frontera 11007 Barbate de Franco 11012 Cádiz 11015 Chiclana de la Frontera 11020 Jerez de la Frontera 11022 Línea de la Concepción (La) 11027 Puerto de Santa María (El) 11028 Puerto Real 11030 Rota 11031 San Fernando 11032 Sanlúcar de Barrameda 11033 San Roque 11999 Reminder of Cádiz province 12032 Burriana 12040 Castellón de la Plana/Castelló de la Plana 12126 Vall d'Uixó (La) 12135 Villarreal/Vila-real 12138 Vinaròs 12999 Reminder of Castellón de la Plana province 13005 Alcázar de San Juan 13034 Ciudad Real 13071 Puertollano 13082 Tomelloso 13087 Valdepeñas 13999 Reminder of Ciudad Real province 14007 Baena 14013 Cabra 14021 Córdoba 14038 Lucena 14042 Montilla 14055 Priego de Córdoba 14056 Puente Genil 14999 Reminder of Córdova province 15019 Carballo 15030 Coruña (A) 15036 Ferrol 15054 Narón 15073 Ribeira 15078 Santiago de Compostela 15999 Reminder of La Coruña province 16078 Cuenca 16999 Reminder of Cuenca province 17023 Blanes 17066 Figueres 17079 Girona 17114 Olot 17155 Salt 17999 Reminder of Girona province 18017 Almuñécar 18023 Baza 18087 Granada 18089 Guadix 18122 Loja 18140 Motril 18999 Reminder of Granada province 19130 Guadalajara 19999 Reminder of Guadalajara province 20030 Eibar 20045 Irun 20055 Arrasate o Mondragón 20067 Rentería 20069 Donostia-San Sebastián 20999 Reminder of Guipuzcoa province 21041 Huelva 21999 Reminder of Huelva province 22125 Huesca 22999 Reminder of Huesca province 23002 Alcalá la Real 23005 Andújar 23050 Jaén 23055 Linares 23060 Martos 23092 Ubeda 23999 Reminder of Jaén province 24089 León 24115 Ponferrada 24142 San Andrés del Rabanedo 24999 Reminder of León province 25120 Lleida 25999 Reminder of Lleida province 26089 Logroño 26999 Reminder of La Rioja province 27028 Lugo 27031 Monforte de Lemos 27999 Reminder of Lugo province 28005 Alcalá de Henares 28006 Alcobendas 28007 Alcorcón 28013 Aranjuez 28014 Arganda 28045 Colmenar Viejo 28047 Collado Villalba 28049 Coslada 28058 Fuenlabrada 28065 Getafe 28074 Leganés 28079 Madrid 28080 Majadahonda 28092 Móstoles 28106 Parla 28113 Pinto 28115 Pozuelo de Alarcón 28127 Rozas de Madrid (Las) 28130 San Fernando de Henares 28134 San Sebastián de los Reyes 28148 Torrejón de Ardoz 28999 Reminder of Madrid province 29015 Antequera 29025 Benalmádena 29051 Estepona 29054 Fuengirola 29067 Málaga 29069 Marbella 29070 Mijas 29084 Ronda 29094 Vélez-Málaga 29901 Torremolinos 29999 Reminder of Málaga province 30003 Aguilas 30005 Alcantarilla 30015 Caravaca de la Cruz 30016 Cartagena 30019 Cieza 30022 Jumilla 30024 Lorca 30027 Molina de Segura 30030 Murcia 30039 Totana 30043 Yecla 30999 Reminder of Murcia province 31201 Pamplona/Iruña 31232 Tudela 31999 Reminder of Navarra province 32054 Ourense 32999 Reminder of Orense province 33004 Avilés 33016 Castrillón 33024 Gijón 33031 Langreo 33037 Mieres del Camino 33044 Oviedo 33060 San Martín del Rey Aurelio 33066 Siero 33999 Reminder of Asturias province 34120 Palencia 34999 Reminder of Palencia province 35004 Arrecife 35006 Arucas 35009 Gáldar 35011 Ingenio 35016 Palmas de Gran Canaria (Las) 35019 San Bartolomé de Tirajana 35022 Santa Lucía 35026 Telde 35999 Reminder of Las Palmas province 36008 Cangas 36017 Estrada (A) 36024 Lalín 36026 Marín 36038 Pontevedra 36045 Redondela 36057 Vigo 36060 Vilagarcía de Arousa 36999 Reminder of Pontevedra province 37274 Salamanca 37999 Reminder of Salamanca province 38006 Arona 38022 Icod de los Vinos 38023 Laguna (La) 38026 Orotava (La) 38028 Puerto de la Cruz 38031 Realejos (Los) 38038 Santa Cruz de Tenerife 38999 Reminder of Santa Cruz de Tenerife province 39016 Camargo 39075 Santander 39087 Torrelavega 39999 Reminder of Cantabria province 40194 Segovia 40999 Reminder of Segovia province 41004 Alcalá de Guadaira 41021 Camas 41024 Carmona 41034 Coria del Río 41038 Dos Hermanas 41039 Ecija 41053 Lebrija 41059 Mairena del Aljarafe 41065 Morón de la Frontera 41069 Palacios y Villafranca (Los) 41081 Rinconada (La) 41086 San Juan de Aznalfarache 41091 Sevilla 41095 Utrera 41999 Reminder of Sevilla province 42173 Soria 42999 Reminder of Soria province 43123 Reus 43148 Tarragona 43155 Tortosa 43161 Valls 43999 Reminder of Tarragona province 44216 Teruel 44999 Reminder of Teruel province 45165 Talavera de la Reina 45168 Toledo 45999 Reminder of Toledo province 46005 Alaquós 46017 Alzira 46021 Aldaia 46022 Alfafar 46029 Algemesí 46078 Burjassot 46083 Carcaixent 46094 Catarroja 46102 Quart de Poblet 46105 Cullera 46110 Xirivella 46131 Gandía 46145 Xótiva 46159 Manises 46169 Mislata 46181 Oliva 46184 Ontinyent 46190 Paterna 46220 Sagunto/Sagunt 46235 Sueca 46244 Torrent 46250 Valencia 46999 Reminder of Valencia province 47186 Valladolid 47999 Reminder of Valladolid province 48013 Barakaldo 48015 Basauri 48020 Bilbao 48027 Durango 48036 Galdakao 48044 Getxo 48054 Leioa 48078 Portugalete 48082 Santurtzi 48084 Sestao 48902 Erandio 48999 Reminder of Vizcaya province 49275 Zamora 49999 Reminder of Zamora province 50297 Zaragoza 50999 Reminder of Zaragoza province 51001 Ceuta 52001 Melilla 66999 Foreign country Migration: Global Variables -- PERSON Current studies <svar a="all" v="ES91A431">18. To be answered only by persons who were enrolled in school (at any level of study, of any type) on the day of the census (March 1, 1991) Current schooling Schooling is understood to mean studies which follow an established program, have a minimum duration of three months, and are associated with an official public or private educational institution, even if enrollment is open, or even if studies are undertaken via distance learning or correspondence courses. First, describe the person's current level of school attendance (for example: 2nd grade of EGB; 5th of medicine, etc.). If the person is simultaneously enrolled in various courses of study, indicate only the one that the person considers his or her primary course of study. [Translator's note: EGB, educación general básica, refers to basic general education.] Then, with an X, mark the option that corresponds to the school attendance specified. In the previous examples, this would be as follows: 2 X EGB (1st to 5th levels); 11 X Studies in University 6 Faculties or Colleges (1st and 2nd level). Notes for clarification: -Option 2 includes adult education at this level. -Option 3 includes special education provided for persons with disabilities or learning difficulties. -Option 4 includes adult education at this level. -Option 7 includes experimental REM (reforms to middle education) schooling and university access. -Option 8 includes Applied Arts and Artistic occupations, Music Conservatories (mid-level), Official Language Schools, Army sub-officers, flight attendants, ..., and any other field of study that requires, as a prerequisite, a high school diploma or its equivalent. -Option 14 includes Masters level, specialists, or the equivalent, with a minimum duration of one school year. -Option 15 includes Higher Military education, Naval education, tourism, physical education, ..., and any other course of study that does not have a separate classification in a separate category and that requires a BUP, COU, baccalaureate degree, or post high school technical training. [BUP, or Bachillerato Unificado y Polivalente, refers to integrated upper secondary education, a 3-year course of university-preparatory education for 14 to 17 year old students, which also prepares students for employment. COU, or Curso de Orientación Universitaria, refers to a one-year college preparatory program.] -Option 16 includes courses in the National Plan for Job Training and Professional Development in INEM centers, in associated centers, Municipal centers, or in businesses, ...[INEM, Instituto de Empleo Servicio Público de Empleo Estatal, refers to the Institute of Public Service for State Employment] <div class="i1">Description: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Pre-school education [] 1 Nursery school and pre-school Primary level education [] 2 EGB (grades 1 through 5) [] 3 Special education Secondary level education [] 4 EGB (grades 6 through 8) [] 5 High school for technical training [] 6 Post-high school technical training [] 7 BUP and COU [translator's note: see explanation above] [] 8 Other secondary level education Post-secondary education [] 9 Architecture and technical engineering studies [] 10 Other university colleges [] 11 Studies in university faculties or colleges (1st and 2nd year) [] 12 Studies in higher technical schools (1st and 2nd years) [] 13 Doctoral studies [] 14 Specialized post-graduate studies for persons with a university degree [] 15 Other post-secondary education Unclassified education [] 16 Occupational professional training [] 17 Other education</div> </svar> Spain 1991: All persons This variable indicates the respondent's current studies. 01 Kindergarten and pre-school 02 Basic General Education (grades 1st to 5th) 03 Special Education 04 Basic General Education (grades 6th to 8th) 05 Professional Formation 1st grade 06 Professional formation 2nd grade 07 Integrated Upper Secondary Education and University Orientation Course 08 Other 2nd grade education 09 Studies of technical architecture and engineering 10 Other university colleges 11 Studies in university faculties and colleges (1st and 2nd year) 12 Studies in upper-level technical schools (1st and 2nd year) 13 Doctoral studies 14 Post-graduate study or specialization for licentiates 15 Other 3rd grade studies 16 Occupation professional formation 17 Other education 99 Does not study Education Variables -- PERSON Studies completed (level of instruction) <svar a="all" v="ES91A432">19. To be answered only by persons age ten or older on March 1, 1991 What is the highest level of schooling that you have completed? Mark the appropriate choice. Note that "completed" means that schooling at this level is completed, that you passed all courses pertaining to this level, and that you are therefore entitled to the corresponding degree or diploma. <div class="i1">[] 1 Does not know how to read and write [] 2 Never attended school [] 3 Elementary school or five completed years of EGB or equivalent [] 4 Basic baccalaureate degree [translator's note: this is similar to a high school education] (General, Labor, or Technical), EGB completed or equivalent [] 5 1st level Technical Training; Industrial official education [] 6 2nd level Technical Training; Industrial masters degree [] 7 Higher level BUP [] 8 Other 2nd level degrees [] 9 Technical architects or engineers (completed third level education) in higher technical schools [] 10 Diploma from university schools and diploma (third level completed) from University faculties and colleges [] 11 Upper level architect or engineer [] 12 University degree [] 13 Degrees for non-university higher education studies [] 14 Doctoral degree [] 15 Diplomas for post-graduate studies or specialized post-graduate studies for university graduates Specify: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _</div> </svar> Spain 1991: Person age 10+ [discrepancies: none] This variable indicates the respondent's completed level of studies. 01 Does not know how to read or write 02 No studies 03 Elementary studies or five years completed of Basic General Education or equivalent 04 Elementary baccalaureate, school graduate, Basic General Education completed, or equivalent studies 05 Professional formation, 1st grade, official industrial education 06 Professional formation, 2nd grade or industrial master 07 Higher baccalaureate or Integrated Upper Secondary Education 08 Other mid-level diplomas 09 Architect and technical engineer and degree (passed third year) in upper-level technical schools 10 Diploma from university colleges and diploma (passed 3rd year) from university faculties and colleges 11 Upper-level architect or engineer 12 University licentiate 13 Degrees of non-university higher education 14 Doctorate 15 Titles of post graduate studies or specialization for licentiates 99 NIU (not in universe) Education Variables -- PERSON Number of children <svar a="all" v="ES91A433">20. Only for women who have had children How many liveborn children have you had? Include liveborn children who have already died. <div class="i1">_ _ Number of children</div> </svar> Spain 1991: Females age 12+ [discrepancies: none] This variable indicates the respondent's number of children. 0 0 1 1 child 2 2 children 3 3 4 4 5 5 6 6 7 7+ 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Year of first marriage <svar a="all" v="ES91A434">21. Only for women who are still in their first marriage. Year of marriage. <div class="i1">1 9 _ _ Year</div> </svar> Spain 1991: Married females [discrepancies: none] This variable indicates the respondent's year of marriage (for women still in their first marriage). 01 Before 1951 02 1951-1960 03 1961-1965 04 1966-1970 05 1971-1975 06 1976-1980 07 1981-1985 08 1986 09 1987 10 1988 11 1989 12 1990 and 1991 98 Unknown 99 NIU (not in universe) Demographic Variables -- PERSON Work relationship 1 <svar a="all" v="ES91A435 ES91A436 ES91A437 ES91A449">22. Employment status Mark the situation that you were in during the week from February 22 to 28, 1991. If you were in more than one situation, mark as many as apply, up to a maximum of three. (For example, a person who was both working and studying should mark both Employed (2x) and student (8x).) Classify as "employed" all persons who worked at least one hour during the reference week (February 22 to 28). Those persons who had a job or business from which they were temporarily absent (because of illness, vacations, etc.) during the reference period should also be considered "employed." <div class="i1">[] 1 Serving in the military [] 2 Employed [] 3 Unemployed, looking for a first job [] 4 Unemployed, previously employed [] 5 Retired (receiving a retirement pension or disability pension) [] 6 Receiving a pension other than retirement or disability [] 7 Permanently disabled and unable to work [] 8 Student, including elementary, high school, and pre-school students [] 9 Keeping house (unpaid) [] 10 Another situation (minors not in school, persons living off rental income, etc.).</div> </svar> Spain 1991: All persons This variable indicates employment status. 01 Completing military service 02 Employed 03 Looking for first employment 04 Unemployed having worked before 05 Retired (receiving a retirement or disability pension) 06 Receiving a pension other than retirement or disability 07 Permanently disabled for employment 08 Student, elementary student or pre-school 09 Housework (unpaid) 10 Other situation (minors, not attending school, rent earners, etc.) Work Variables -- PERSON Work relationship 2 <svar a="all" v="ES91A435 ES91A436 ES91A437 ES91A449">22. Employment status Mark the situation that you were in during the week from February 22 to 28, 1991. If you were in more than one situation, mark as many as apply, up to a maximum of three. (For example, a person who was both working and studying should mark both Employed (2x) and student (8x).) Classify as "employed" all persons who worked at least one hour during the reference week (February 22 to 28). Those persons who had a job or business from which they were temporarily absent (because of illness, vacations, etc.) during the reference period should also be considered "employed." <div class="i1">[] 1 Serving in the military [] 2 Employed [] 3 Unemployed, looking for a first job [] 4 Unemployed, previously employed [] 5 Retired (receiving a retirement pension or disability pension) [] 6 Receiving a pension other than retirement or disability [] 7 Permanently disabled and unable to work [] 8 Student, including elementary, high school, and pre-school students [] 9 Keeping house (unpaid) [] 10 Another situation (minors not in school, persons living off rental income, etc.).</div> </svar> Spain 1991: All persons This variable indicates employment status (only for principal persons). 00 None 02 Employed 03 Looking for first employment 04 Unemployed having worked before 05 Retired (receiving a retirement or disability pension) 06 Receiving a pension other than retirement or disability 07 Permanently disabled for employment 08 Student, elementary student or pre-school 09 Housework (unpaid) 10 Other situation (minors, not attending school, rent earners, etc.) Work Variables -- PERSON Work relationship 3 <svar a="all" v="ES91A435 ES91A436 ES91A437 ES91A449">22. Employment status Mark the situation that you were in during the week from February 22 to 28, 1991. If you were in more than one situation, mark as many as apply, up to a maximum of three. (For example, a person who was both working and studying should mark both Employed (2x) and student (8x).) Classify as "employed" all persons who worked at least one hour during the reference week (February 22 to 28). Those persons who had a job or business from which they were temporarily absent (because of illness, vacations, etc.) during the reference period should also be considered "employed." <div class="i1">[] 1 Serving in the military [] 2 Employed [] 3 Unemployed, looking for a first job [] 4 Unemployed, previously employed [] 5 Retired (receiving a retirement pension or disability pension) [] 6 Receiving a pension other than retirement or disability [] 7 Permanently disabled and unable to work [] 8 Student, including elementary, high school, and pre-school students [] 9 Keeping house (unpaid) [] 10 Another situation (minors not in school, persons living off rental income, etc.).</div> </svar> Spain 1991: All persons This variable indicates employment status (only for principal persons who are not working). 00 None 03 Looking for first employment 04 Unemployed having worked before 05 Retired (receiving a retirement or disability pension) 06 Receiving a pension other than retirement or disability 07 Permanently disabled for employment 08 Student, elementary student or pre-school 09 Housework (unpaid) 10 Other situation (minors, not attending school, rent earners, etc.) Work Variables -- PERSON Occupation <svar v="ES91A438 ES91A439 ES91A440 ES91A447">Questions 23, 24 and, 25 are to be answered only by those answered the previous question [Number 22] as 2, 4, or 5. Employed persons (answer 2) should refer to their occupation during the week of February 22 to 28. Persons who were unemployed (answer 4) or retired (answer 5) should refer to their last job. </svar> <svar a=" ES91A438" v="ES91A438 ES91A449">23. What is your occupation, your profession, or the work that you perform or performed? First, describe in detail your occupation (for example: commercial employee, construction contractor, etc.). If you held more than one job during the reference week, describe your principal occupation. Next, in the table on page 22, find the number that corresponds to the description provided (in the previous example, _ 9 and 1 4, respectively). <div class="i1">Description: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Number in the table on page 22 that corresponds to this occupation</div> </svar> Spain 1991: Persons employed, unemployed but worked before, and retirees [discrepancies: type I trace; type II none] This variable indicates the respondent's occupation. 01 Degrees professionals in sciences and engineering 02 Support professionals in sciences and engineering 03 Writers, artists, and professionals in entertainment and sports 04 Education personnel and other titled professionals not listed above 05 Directive personnel in public administration and businesses 06 Offices heads 07 Remaining administrative employees 08 Commercial agents and heads of buying and sales 09 Salesmen, store workers and similar 10 Workers in hotel services and personal services 11 Workers in protection and security services 12 Remaining service workers 13 Agricultural, cattle ranching, forestry, and fishing workers 14 Supervisors and heads of workshops in industrial businesses, mining, or construction 15 Specialized construction workers 16 Specialized workers in extractive industries and metallurgy 17 Specialized workers in textile industries, food manufacture and graphic arts. Other artisans 18 Operators of industrial installations and non-mobile and mobile machinery 19 Day laborers and other non-specialized workers 20 Professionals in the armed forces 99 NIU (not in universe) Work: Occupation Variables -- PERSON Class of worker <svar v="ES91A438 ES91A439 ES91A440 ES91A447">Questions 23, 24 and, 25 are to be answered only by those answered the previous question [Number 22] as 2, 4, or 5. Employed persons (answer 2) should refer to their occupation during the week of February 22 to 28. Persons who were unemployed (answer 4) or retired (answer 5) should refer to their last job. </svar> <svar a=" ES91A439" v="ES91A439 ES91A449">24. Job status This refers to the person's status in the occupation described in the previous question. <div class="i1">[] 1 Business owner, professional, or self-employed person who employed personnel [] 2 Business owner, professional, or self-employed worker who did not employ personnel [] 3 Member of a work cooperative or employee of such a cooperative [] 4 Person works without pay in the business of a co-resident family member [] 5 Person who works in a permanent job, for a fixed salary, commissions, daily wage or other type of earnings [] 6 Person who works sporadically or seasonally, for a fixed salary, commissions, daily wage or other type of earnings [] 7 Other situation</div> </svar> Spain 1991: Persons employed, unemployed but worked before, and retirees [discrepancies: type I trace; type II none] This variable indicates the respondent's occupational situation. 1 Self-employed owner, businessman or professional who employs personnel 2 Self-employed owner, businessman or professional who does not employ personnel 3 Member of an associated worker cooperative who works in same 4 Person who works without fixed salary in the business or company of the family with which he/she lives 5 Person with permanent employment who earns salary, commission, day wages or other type of payment 6 Person with occasional or temporary employment who earns salary, commission, day wages or other type of payment 7 Other situation 9 NIU (not in universe) Work Variables -- PERSON Activity of the establishment <svar v="ES91A438 ES91A439 ES91A440 ES91A447">Questions 23, 24 and, 25 are to be answered only by those answered the previous question [Number 22] as 2, 4, or 5. Employed persons (answer 2) should refer to their occupation during the week of February 22 to 28. Persons who were unemployed (answer 4) or retired (answer 5) should refer to their last job. </svar> <svar a="all" v="ES91A440 ES91A447">25. What is the main activity of the place where you work or worked? First, describe in detail the main activity of the workplace or business where you worked (for example: agricultural production, toy manufacturing, hotel, etc.). This activity may be different from that of the company that owns the establishment. Next, find in the table on page 23 the number that corresponds to the description provided (in the previous example, _ 1,1 5, and 2 1, respectively). <div class="i1">Description: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Number in table on page 23 that corresponds to this activity</div> </svar> Spain 1991: Persons employed, unemployed but worked before, and retirees [discrepancies: type I trace; type II none] This variable indicates the activity of the establishment where the respondent works. 01 Agriculture and ranching 02 Fishing 03 Fuel extraction 04 Extraction of non-energy minerals 05 Food industries 06 Textile industry 07 Lumber industry 08 Paper industry 09 Petroleum refining 10 Manufacture of chemical products 11 Metal manufacturing 12 Manufacture of metallic products 13 Manufacture of electrical equipment and material 14 Manufacture of transportation material 15 Other manufacturing industries 16 Electrical energy, gas, and water 17 Construction 18 Motor vehicles 19 Wholesale commerce 20 Retail commerce 21 Hotels, restaurants and bars 22 Transportations and communications 23 Financial institutions 24 Services provided to businesses 25 Education 26 Healthcare 27 Public administration, defense, and social security 28 Domestic services 29 Other services 99 NIU (not in universe) Work: Industry Variables -- PERSON Age <svar a="all" v="ES91A409 ES91A410 ES91A441">7. Date of birth. For example: for a person born on March, 11, 1947 Write: day 1 1 month _ 3 year 1 9 4 7 <div class="i1">_ _ day _ _ month _ _ _ _ year</div> </svar> Spain 1991: All persons This variable indicates the respondent's age. 00 0 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 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+ Demographic Variables -- PERSON Industry, general <svar v="ES91A438 ES91A439 ES91A440 ES91A447">Questions 23, 24 and, 25 are to be answered only by those answered the previous question [Number 22] as 2, 4, or 5. Employed persons (answer 2) should refer to their occupation during the week of February 22 to 28. Persons who were unemployed (answer 4) or retired (answer 5) should refer to their last job. </svar> <svar a="all" v="ES91A440 ES91A447">25. What is the main activity of the place where you work or worked? First, describe in detail the main activity of the workplace or business where you worked (for example: agricultural production, toy manufacturing, hotel, etc.). This activity may be different from that of the company that owns the establishment. Next, find in the table on page 23 the number that corresponds to the description provided (in the previous example, _ 1,1 5, and 2 1, respectively). <div class="i1">Description: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Number in table on page 23 that corresponds to this activity</div> </svar> Spain 1991: Persons employed, unemployed but worked before, and retirees [discrepancies: type I trace; type II none] This variable indicates the respondent's reduced branch of economic activity. 1 Agriculture and fishing 2 Extractive industries 3 Manufacturing industries 4 Production, transportation, and distribution of electrical energy, gas, and water 5 Construction 6 Commerce, restaurants, and hotels 7 Other services (education, healthcare, public administrations, personal service and remaining services) 9 NIU (not in universe) Work: Industry Variables -- PERSON Duration of first marriage Spain 1991: Females in their first marriage [discrepancies: none] This variable indicates the duration of the respondent's matrimony. 00 0 years 01 1 year 02 2 03 3 04 4 05 5 to 9 06 10 to 14 07 15 to 19 08 20 to 24 09 25 to 29 10 30 to 39 11 40+ 98 Unknown 99 NIU (not in universe) Demographic Variables -- PERSON Socioeconomic condition <svar a="all" v="ES91A435 ES91A436 ES91A437 ES91A449">22. Employment status Mark the situation that you were in during the week from February 22 to 28, 1991. If you were in more than one situation, mark as many as apply, up to a maximum of three. (For example, a person who was both working and studying should mark both Employed (2x) and student (8x).) Classify as "employed" all persons who worked at least one hour during the reference week (February 22 to 28). Those persons who had a job or business from which they were temporarily absent (because of illness, vacations, etc.) during the reference period should also be considered "employed." <div class="i1">[] 1 Serving in the military [] 2 Employed [] 3 Unemployed, looking for a first job [] 4 Unemployed, previously employed [] 5 Retired (receiving a retirement pension or disability pension) [] 6 Receiving a pension other than retirement or disability [] 7 Permanently disabled and unable to work [] 8 Student, including elementary, high school, and pre-school students [] 9 Keeping house (unpaid) [] 10 Another situation (minors not in school, persons living off rental income, etc.).</div> </svar> <svar a=" ES91A438" v="ES91A438 ES91A449">23. What is your occupation, your profession, or the work that you perform or performed? First, describe in detail your occupation (for example: commercial employee, construction contractor, etc.). If you held more than one job during the reference week, describe your principal occupation. Next, in the table on page 22, find the number that corresponds to the description provided (in the previous example, _ 9 and 1 4, respectively). <div class="i1">Description: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Number in the table on page 22 that corresponds to this occupation</div> </svar> <svar a=" ES91A439" v="ES91A439 ES91A449">24. Job status This refers to the person's status in the occupation described in the previous question. <div class="i1">[] 1 Business owner, professional, or self-employed person who employed personnel [] 2 Business owner, professional, or self-employed worker who did not employ personnel [] 3 Member of a work cooperative or employee of such a cooperative [] 4 Person works without pay in the business of a co-resident family member [] 5 Person who works in a permanent job, for a fixed salary, commissions, daily wage or other type of earnings [] 6 Person who works sporadically or seasonally, for a fixed salary, commissions, daily wage or other type of earnings [] 7 Other situation</div> </svar> Spain 1991: Persons employed, unemployed but worked before, and retirees [discrepancies: type I trace; type II none] This variable indicates the respondent's socioeconomic condition. 01 Salaried agricultural businessmen 02 Non-salaried agricultural businessmen 03 Members of agricultural cooperatives 04 Directors and bosses of agricultural businesses and enterprises 05 Remaining agricultural workers 06 Professionals, technicians, and similar who are self-employed in their activity, with or without salary 07 Non-agricultural businessmen with salaries 08 Non-agricultural businessmen without salary 09 Members of non-agricultural cooperatives 10 Directors and bosses of non-agricultural businesses and associations, directive personnel of public administration and members of state organizations, autonomous communities and local corporations 11 Professionals, technicians and similar who practice their profession as employees of someone else 12 Heads of administrative departments, commercial departments or services to non-agricultural businesses or public administration 13 Remaining administrative and commercial personnel 14 Remaining service personnel 15 Non-agricultural supervisors and overseers 16 Non-agricultural qualified and specialized operators 17 Non-agricultural non-specialized operators 18 Professionals in the armed forces 19 Not classifiable by socioeconomic condition 99 NIU (not in universe) Work Variables -- PERSON Size of municipality of residence Spain 1991: All persons This variable indicates the size of the respondent's municipality of residence, according to the legal population registry. 01 Up to 100 inhabitants 02 101 to 200 03 201 to 500 04 501 to 1,000 05 1,001 to 2,000 06 2,001 to 3,000 07 3,001 to 5000 08 5,001 to 10,000 09 10,001 to 20,000 10 20,001 to 30,000 11 30,001 to 50,000 12 50,001 to 75,000 13 75,001 to 100,000 14 100,001 to 250,000 15 250,001 to 500,000 16 500,001 to 1,000,000 17 1,000, 000 + Migration: Global Variables -- PERSON Person weight Spain 1991: All persons This variable indicates person weight in the sample. This is a 7-digit numeric variable with 4 implied decimal places Technical Person Variables -- PERSON