DDI_ROU_1992_PHC_v01_M_v7.5_A_IPUMS Population and Housing Census IPUMS May 20, 2024 MetadataEditor Version 7.5 October 2024. NEW FEATURES. --Historical data from NAPP project now available from IPUMS-International. --Historical census data from Canada, Denmark, the United Kingdom, Germany, Iceland, Norway, Sweden, and the United States for the period 1703 to 1911 are now available from IPUMS-International. The complete count and sample datasets were previously disseminated by the North Atlantic Population Project (NAPP). Where possible, the data have been integrated into existing IPUMS-International variable coding schema. Some new variables have been created that are available only for these pre-1960 datasets. NAPP data users should note that many NAPP variables are available from IPUMS-International by different names. For a complete list of NAPP variables that have been renamed in IPUMS-Interational, refer to the crosswalk. --Individual country shapefiles for the third-level administrative level of geography are now available for a few IPUMS samples. --New spatially harmonized previous-residence variables at the second administrative level of geography are available for several samples in this data release. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. --IPUMS now hosts the Census Mosaic data collection. Census Mosaic identifies, gathers, harmonizes, and distributes surviving historical census microdata from regions of Continental Europe where complete centralized records are not available. The Mosaic project was founded by a consortium of historical social scientists in Europe. Data can be downloaded as static files from the Census Mosaic website. Although the data are not yet integrated fully into IPUMS International, variables have been standardized and harmonized to be roughly compatible with IPUMS coding structures. NEW SAMPLES. --Full-count datasets for Great Britain 1851, 1861, 1871 (Scotland only), 1891, and 1901. --Full-count dataset for Sweden 1910. Denmark (1845, 1880, and 1885) --Labor force surveys from Spain and eight new labor force surveys from Italy added to the series. Newly added countries: Benin, Cote d'Ivoire, Finland, Guatemala, Honduras, Laos, Lesotho, Mauritius, Myanmar, Papua New Guinea, Russia, Slovak Republic, Suriname, Togo, and Zimbabwe New samples for: Bolivia, Cambodia, Cambodia, Chile, Cuba, Cote d'Ivoire, Egypt (1848 and 1868, historical samples), Fiji, Guinea, Ireland, Israel, Italy, Lao PDR, Mexico, Morocco, Nepal, Netherlands, Palestine, Peru, Philippines, Puerto Rico, Rwanda, Senegal, Sierra Leone, South Africa, Switzerland, Uganda, United States, United Kingdom, United States, Vietnam, and Zimbabwe SUPPLEMENTAL DATA. Data from censuses from Benin and Lesotho that record individual fertility and/or mortality events were made available in IPUMS-International. These files can be downloaded and linked to data produced by the extract system. NEW VARIABLES. --IPUMS-International now provides harmonized and year-specific geography variables for all countries including 13 new samples from Dominican Republic, Germany, Indonesia, Israel, Malaysia, Mongolia, Nicaragua, Nigeria, Palestine, Paraguay, Thailand, United Kingdom, and Uruguay. First-level and second-level year specific geography variables are also available for all countries. IPUMS provides corresponding, downloadable GIS boundary files for all harmonized and year specific geography variables. More information about IPUMS geography variables is available here. --IPUMS International now provides spatially harmonized previous-residence variables at the first administrative level of geography. The codes for the spatially harmonized previous-residence variables match the spatially harmonized place of current residence. More information is available here. --IPUMS International provides spatially harmonized previous-residence variables at the first administrative level of geography for all samples; previously available country-specific migration variables at the first administrative level that were not fully harmonized spatially have been phased out. Spatially harmonized previous-residence variables at the second administrative level of geography are available for selected samples. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. --IPUMS International now provides spatially harmonized previous-residence variables at the first administrative level of geography for all samples. Spatially harmonized previous-residence variables at the second administrative level of geography are available for several samples in this data release. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. --Lower (third) level geography codes and GIS files have been added for Bangladesh, China, Ethiopia, Mali, Rwanda, and Zimbabwe. Some geography codes and labels might have changed for these countries to accommodate the newer lower level geography. --Added more detailed 3-digit industry and occupation variables for China 2000. EDITED SAMPLES. --Revised full-count data for Great Britain 1881 --Revised full-count datasets for Sweden 1890 and 1900. The revision includes the following changes that improve comparability across Sweden datasets: --Revisions to certain ethnicity and work variables (and the underlying source data): ORIGIN, LABFORCE, OCCHISCO, OCRELATE, OCSTATUS. --Revisions to unharmonized source variables: SE1890A_HISCOSE, SE1890A_HISCRELSE, SE1890A_HISCSTATSE, SE1890A_OCCMULTISE, SE1900A_HISCOSE, SE1900A_HISCRELSE, SE1900A_HISCSTATSE, SE1900A_OCCMULTISE. --A new United States 1850 full-count dataset now matches the corresponding dataset distributed by the USA IPUMS data project. The source variable US1850A_0502 (HISTID) provides a linking key to match person records to the USA version of the data. The IPUMS International version of the data contains names, which the USA version cannot distribute. EDITED VARIABLES. An error affecting HHWT for South Africa 2007 was corrected. The existing values were adjusted by a factor of 0.01. AGEMARR was edited to add data for Hungary 1980 and 1990. Harmonized and year-specific geography variables for Brazil and Colombia have been edited to accommodate for the availability of refined municipal boundaries. Users should be aware that codes and labels have changed in all harmonized and year specific geography varaibles for these two countries. Errors affecting BPLSE2 (formerly BPLPARSE) for Sweden 1890 and the underlying source variable were corrected. Several thousand cases were incorrectly coded as 258101000. These cases have been updated with the correct code: 258171000. Harmonized geography variables for Italy, Philippines, Rwanda, and United States have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year specific geography varaibles for these countries. More information about IPUMS geography variables is available here. The codes for the source variable RW2002A_0419 were corrected to include 0 and 8 as possible responses, which were previously identified as 'unknown years' within primary education. Errors affecting EDUCFJ for Fiji 2006 were corrected. A problem with PERWT for Tanzania 2012 was corrected. The previous weights were adjusted to properly reflect population totals. MOMLOC, POPLOC, and PARRULE were updated for the United States 2010 and 2015 samples to include additional information on subfamilies. Prior to this correction, persons above age 17 were not receiving links to their co-resident mothers and fathers. An error affecting codes for the URBAN variable in Egypt 1986 for Cairo, Alexandria, Port-Said, and Suez was corrected. An error in INCEARN affecting Venezuela 2001 was corrected. Earned income in the source variable VE2001A_0440 is interpreted as a monthly amount, thus adjustments previously applied to convert data from daily or weekly income were supressed. All the six Brazil samples in IPUMS International were replaced with higher density samples. An edited version of the Chile 2017 sample was introduced to correct an error in household breaks. Errors affecting codes for GEO1_ZA in South Africa 2011 and ENUTS1 in United Kingdom 1991 were corrected. Harmonized geography variables for Cambodia, Fiji, and Nepal have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography varaibles for these countries. More information about IPUMS geography variables is available here. An error in PERWT affecting Nepal 2001 was corrected. Errors affecting a code in GQ for Brazil 2010 and Indonesia 2010 were corrected. Both census samples now identify 1-person units created by splitting a large household. An error in MARRNUM affecting Indonesia 1976 was corrected. Some codes for GEO1_EG2006 and GEO2_EG2006 were edited. Harmonized geography variables for Bolivia, Cuba, Guinea, Ireland, Morocco, Palestine, Senegal, South Africa, and Uganda have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here. An error in INCEARN affecting Brazil 1980 was corrected. An error in EDATTAIN affecting Ireland 1971 and 1981 was corrected. A small proportion of person records in Mexico 1960 were re-classified in MIGRATEP based on information about their current and previous residence. These were previously coded to 'different major administrative unit', even though their place of residence suggests that their last move was within the same major administrative unit. The second-level technician (higher) degrees for Spain 1991, 2001, and 2011 were re-classified into post-secondary technical education in EDATTAIN. An error affecting codes for SEX for Egypt 1848 and 1868 was corrected. The values for male and female had been reversed. A problem with HHWT and PERWT for Canada 2011 was corrected. The previous weights were adjusted to properly reflect population totals. Harmonized geography variables for Cambodia, Lao PDR, Mexico, Peru, Switzerland, Vietnam, Puerto Rico, United Kingdom, and United States have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here. Harmonized geography variables for Chile and Sierra Leone have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here. An error affecting codes for COMPUTER for Senegal 2013 was corrected. An error affecting labels available in IND for Peru 1993 was corrected. An error affecting codes for persons previously residing abroad for MIG1_5_BO in Bolivia 2001 and 2012 was corrected. EDUCAR, EDATTAIN, and YRSCHOOL were adjusted in the Argentina samples to incorporate information on completion of education levels in the data harmonization. HHWT and PERWT were calibrated in Kenya 1979 to properly reflect the population distribution by province. In GQ (group quarters status), persons residing in hospitals of all types were reclassified to 'institutional group quarters' from 'other group quarters,' making their treatment consistent with GQTYPE. Errors affecting codes for BPLBJ2 in Benin 1979, 1992, and 2002 were corrected. Errors affecting codes for GEO2_BR1970 in Brazil 1970 were corrected. Population and Housing Census - IPUMS Subset PHC Romania 1992 (IPUMS Harmonized Subset) ROU_1992_PHC_v01_M_v7.5_A_IPUMS National Commission for Statistics (NCS) IPUMS (c) Copyright 1992, National Commission for Statistics (NCS) and Minnesota Population Center MetadataEditor National Commission for Statistics (NCS) Population and Housing Census [hh/popcen] IPUMS International DOI:10.18128/D020.V7.5 Version 7.5. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database. Demographic Variables -- PERSON Geography: Global Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Fertility and Mortality Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Utilities Variables -- HOUSEHOLD Ethnicity and Language Variables -- PERSON Geography: O-Z Variables -- HOUSEHOLD Migration: Global Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Migration: O-Z Variables -- PERSON Technical Person Variables -- PERSON Technical Person Variables -- PERSON Technical Household Variables -- HOUSEHOLD Geography: O-Z Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Demographic Variables -- PERSON Migration: Global Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Nativity and Birthplace Variables -- PERSON Ethnicity and Language Variables -- PERSON Education Variables -- PERSON Work Variables -- PERSON Fertility and Mortality Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON Other Person Variables -- PERSON Romania County with 20,000+ population Persons and households UNITS IDENTIFIED: - Dwellings: no - Vacant Units: Not available in microdata sample - Households: yes - Individuals: yes - Group quarters: no UNIT DESCRIPTIONS: - Dwellings: Built unit generally endowed with annexes (kitchen, bathroom), functionally independent, with separate entrance - Households: Persons living together, generally relatives, with a common income and expenditure budget - Group quarters: One or more distinct building inhabited by many persons united for joint purposes and interests and who share some spaces and facilities The entire population of the country Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Romania 1992 MICRODATA SOURCE: National Commission for Statistics (NCS) SAMPLE SIZE (person records): 2238578. SAMPLE DESIGN: Systematic; every tenth household after a random start Face-to-face [f2f] PL - Persons, private dwelling; PC - Persons in collective units - hostel type; PH - Persons in collective units - hotel type de jure, CENSUS DAY: January 7, 1992 Self-weighting (expansion factor=10) 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. National Commission for Statistics (NCS) 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: Romania, National Commission for Statistics (NCS). Population and Housing Census 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. ROU1992_PHC-H-H Household records 728 79 ROU1992_PHC-P-H Person records 2238578 97 Record type H Household P Person RECTYPE identifies the type of record for the case: household or person. NOTE: RECTYPE is an alphabetic (character string) variable with a value of 'H' for household records and 'P' for person records. RECTYPE will not appear as a variable in the default rectangular extracts produced by the data extract system. It is only available in hierarchical extracts, to distinguish between the two record types. IPUMS Country 032 Argentina 051 Armenia 040 Austria 050 Bangladesh 112 Belarus 204 Benin 068 Bolivia 072 Botswana 076 Brazil 854 Burkina Faso 116 Cambodia 120 Cameroon 124 Canada 152 Chile 156 China 170 Colombia 188 Costa Rica 192 Cuba 208 Denmark 214 Dominican Republic 218 Ecuador 818 Egypt 222 El Salvador 231 Ethiopia 242 Fiji 246 Finland 250 France 276 Germany 288 Ghana 300 Greece 320 Guatemala 324 Guinea 332 Haiti 340 Honduras 348 Hungary 352 Iceland 356 India 360 Indonesia 364 Iran 368 Iraq 372 Ireland 376 Israel 380 Italy 384 Ivory Coast 388 Jamaica 400 Jordan 404 Kenya 417 Kyrgyz Republic 418 Laos 426 Lesotho 430 Liberia 454 Malawi 458 Malaysia 466 Mali 480 Mauritius 484 Mexico 496 Mongolia 504 Morocco 508 Mozambique 104 Myanmar 524 Nepal 528 Netherlands 558 Nicaragua 566 Nigeria 578 Norway 586 Pakistan 275 Palestine 591 Panama 598 Papua New Guinea 600 Paraguay 604 Peru 608 Philippines 616 Poland 620 Portugal 630 Puerto Rico 642 Romania 643 Russia 646 Rwanda 662 Saint Lucia 686 Senegal 694 Sierra Leone 703 Slovak Republic 705 Slovenia 710 South Africa 728 South Sudan 724 Spain 729 Sudan 740 Suriname 752 Sweden 756 Switzerland 834 Tanzania 764 Thailand 768 Togo 780 Trinidad and Tobago 792 Turkey 800 Uganda 804 Ukraine 826 United Kingdom 840 United States 858 Uruguay 862 Venezuela 704 Vietnam 894 Zambia 716 Zimbabwe COUNTRY gives the country from which the sample was drawn. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization). IPUMS Year 1703 1703 1729 1729 1787 1787 1801 1801 1819 1819 1845 1845 1848 1848 1850 1850 1851 1851 1852 1852 1860 1860 1861 1861 1865 1865 1868 1868 1870 1870 1871 1871 1875 1875 1880 1880 1881 1881 1885 1885 1890 1890 1891 1891 1900 1900 1901 1901 1910 1910 1911 1911 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1966 1966 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 YEAR gives the year in which the census or survey was taken. For samples that span years, the midpoint or first year of the interval is reported. IPUMS IPUMS sample identifier 032197001 Argentina 1970 032198001 Argentina 1980 032199101 Argentina 1991 032200101 Argentina 2001 032201001 Argentina 2010 051200101 Armenia 2001 051201101 Armenia 2011 040197101 Austria 1971 040198101 Austria 1981 040199101 Austria 1991 040200101 Austria 2001 040201101 Austria 2011 050199101 Bangladesh 1991 050200101 Bangladesh 2001 050201101 Bangladesh 2011 112199901 Belarus 1999 112200901 Belarus 2009 204197901 Benin 1979 204199201 Benin 1992 204200201 Benin 2002 204201301 Benin 2013 068197601 Bolivia 1976 068199201 Bolivia 1992 068200101 Bolivia 2001 068201201 Bolivia 2012 072198101 Botswana 1981 072199101 Botswana 1991 072200101 Botswana 2001 072201101 Botswana 2011 076196001 Brazil 1960 076197001 Brazil 1970 076198001 Brazil 1980 076199101 Brazil 1991 076200001 Brazil 2000 076201001 Brazil 2010 854198501 Burkina Faso 1985 854199601 Burkina Faso 1996 854200601 Burkina Faso 2006 116199801 Cambodia 1998 116200401 Cambodia 2004 116200801 Cambodia 2008 116201301 Cambodia 2013 116201901 Cambodia 2019 120197601 Cameroon 1976 120198701 Cameroon 1987 120200501 Cameroon 2005 124185201 Canada 1852 124187101 Canada 1871 124188101 Canada 1881 124189101 Canada 1891 124190101 Canada 1901 124191101 Canada 1911 124197101 Canada 1971 124198101 Canada 1981 124199101 Canada 1991 124200101 Canada 2001 124201101 Canada 2011 152196001 Chile 1960 152197001 Chile 1970 152198201 Chile 1982 152199201 Chile 1992 152200201 Chile 2002 152201701 Chile 2017 156198201 China 1982 156199001 China 1990 156200001 China 2000 170196401 Colombia 1964 170197301 Colombia 1973 170198501 Colombia 1985 170199301 Colombia 1993 170200501 Colombia 2005 188196301 Costa Rica 1963 188197301 Costa Rica 1973 188198401 Costa Rica 1984 188200001 Costa Rica 2000 188201101 Costa Rica 2011 192200201 Cuba 2002 192201201 Cuba 2012 208178701 Denmark 1787 208180101 Denmark 1801 208184501 Denmark 1845 208188001 Denmark 1880 208188501 Denmark 1885 214196001 Dominican Republic 1960 214197001 Dominican Republic 1970 214198101 Dominican Republic 1981 214200201 Dominican Republic 2002 214201001 Dominican Republic 2010 218196201 Ecuador 1962 218197401 Ecuador 1974 218198201 Ecuador 1982 218199001 Ecuador 1990 218200101 Ecuador 2001 218201001 Ecuador 2010 818184801 Egypt 1848 818186801 Egypt 1868 818198601 Egypt 1986 818199601 Egypt 1996 818200601 Egypt 2006 222199201 El Salvador 1992 222200701 El Salvador 2007 231198401 Ethiopia 1984 231199401 Ethiopia 1994 231200701 Ethiopia 2007 242196601 Fiji 1966 242197601 Fiji 1976 242198601 Fiji 1986 242199601 Fiji 1996 242200701 Fiji 2007 242201401 Fiji 2014 246201001 Finland 2010 250196201 France 1962 250196801 France 1968 250197501 France 1975 250198201 France 1982 250199001 France 1990 250199901 France 1999 250200601 France 2006 250201101 France 2011 276181901 Germany 1819 (Mecklenburg) 276197001 Germany 1970 (West) 276197101 Germany 1971 (East) 276198101 Germany 1981 (East) 276198701 Germany 1987 (West) 288198401 Ghana 1984 288200001 Ghana 2000 288201001 Ghana 2010 300197101 Greece 1971 300198101 Greece 1981 300199101 Greece 1991 300200101 Greece 2001 300201101 Greece 2011 320196401 Guatemala 1964 320197301 Guatemala 1973 320198101 Guatemala 1981 320199401 Guatemala 1994 320200201 Guatemala 2002 324198301 Guinea 1983 324199601 Guinea 1996 324201401 Guinea 2014 332197101 Haiti 1971 332198201 Haiti 1982 332200301 Haiti 2003 340196101 Honduras 1961 340197401 Honduras 1974 340198801 Honduras 1988 340200101 Honduras 2001 348197001 Hungary 1970 348198001 Hungary 1980 348199001 Hungary 1990 348200101 Hungary 2001 348201101 Hungary 2011 352170301 Iceland 1703 352172901 Iceland 1729 352180101 Iceland 1801 352190101 Iceland 1901 352191001 Iceland 1910 356198341 India 1983 356198741 India 1987 356199341 India 1993 356199941 India 1999 356200441 India 2004 356200941 India 2009 360197101 Indonesia 1971 360197601 Indonesia 1976 360198001 Indonesia 1980 360198501 Indonesia 1985 360199001 Indonesia 1990 360199501 Indonesia 1995 360200001 Indonesia 2000 360200501 Indonesia 2005 360201001 Indonesia 2010 364200601 Iran 2006 364201101 Iran 2011 368199701 Iraq 1997 372190101 Ireland 1901 372191101 Ireland 1911 372197101 Ireland 1971 372197901 Ireland 1979 372198101 Ireland 1981 372198601 Ireland 1986 372199101 Ireland 1991 372199601 Ireland 1996 372200201 Ireland 2002 372200601 Ireland 2006 372201101 Ireland 2011 372201601 Ireland 2016 376197201 Israel 1972 376198301 Israel 1983 376199501 Israel 1995 376200801 Israel 2008 380200101 Italy 2001 380201101 Italy 2011 380201121 Italy 2011 Q1 LFS 380201221 Italy 2012 Q1 LFS 380201321 Italy 2013 Q1 LFS 380201421 Italy 2014 Q1 LFS 380201521 Italy 2015 Q1 LFS 380201621 Italy 2016 Q1 LFS 380201721 Italy 2017 Q1 LFS 380201821 Italy 2018 Q1 LFS 380201921 Italy 2019 Q1 LFS 380202021 Italy 2020 Q1 LFS 384198801 Ivory Coast 1988 384199801 Ivory Coast 1998 388198201 Jamaica 1982 388199101 Jamaica 1991 388200101 Jamaica 2001 400200401 Jordan 2004 404196901 Kenya 1969 404197901 Kenya 1979 404198901 Kenya 1989 404199901 Kenya 1999 404200901 Kenya 2009 417199901 Kyrgyz Republic 1999 417200901 Kyrgyz Republic 2009 418199501 Laos 1995 418200501 Laos 2005 418201501 Laos 2015 426199601 Lesotho 1996 426200601 Lesotho 2006 430197401 Liberia 1974 430200801 Liberia 2008 454198701 Malawi 1987 454199801 Malawi 1998 454200801 Malawi 2008 458197001 Malaysia 1970 458198001 Malaysia 1980 458199101 Malaysia 1991 458200001 Malaysia 2000 466198701 Mali 1987 466199801 Mali 1998 466200901 Mali 2009 480199001 Mauritius 1990 480200001 Mauritius 2000 480201101 Mauritius 2011 484196001 Mexico 1960 484197001 Mexico 1970 484199001 Mexico 1990 484199501 Mexico 1995 484200001 Mexico 2000 484200501 Mexico 2005 484201001 Mexico 2010 484201501 Mexico 2015 484202001 Mexico 2020 484200521 Mexico 2005 Q1 LFS 484200522 Mexico 2005 Q2 LFS 484200523 Mexico 2005 Q3 LFS 484200524 Mexico 2005 Q4 LFS 484200621 Mexico 2006 Q1 LFS 484200622 Mexico 2006 Q2 LFS 484200623 Mexico 2006 Q3 LFS 484200624 Mexico 2006 Q4 LFS 484200721 Mexico 2007 Q1 LFS 484200722 Mexico 2007 Q2 LFS 484200723 Mexico 2007 Q3 LFS 484200724 Mexico 2007 Q4 LFS 484200821 Mexico 2008 Q1 LFS 484200822 Mexico 2008 Q2 LFS 484200823 Mexico 2008 Q3 LFS 484200824 Mexico 2008 Q4 LFS 484200921 Mexico 2009 Q1 LFS 484200922 Mexico 2009 Q2 LFS 484200923 Mexico 2009 Q3 LFS 484200924 Mexico 2009 Q4 LFS 484201021 Mexico 2010 Q1 LFS 484201022 Mexico 2010 Q2 LFS 484201023 Mexico 2010 Q3 LFS 484201024 Mexico 2010 Q4 LFS 484201121 Mexico 2011 Q1 LFS 484201122 Mexico 2011 Q2 LFS 484201123 Mexico 2011 Q3 LFS 484201124 Mexico 2011 Q4 LFS 484201221 Mexico 2012 Q1 LFS 484201222 Mexico 2012 Q2 LFS 484201223 Mexico 2012 Q3 LFS 484201224 Mexico 2012 Q4 LFS 484201321 Mexico 2013 Q1 LFS 484201322 Mexico 2013 Q2 LFS 484201323 Mexico 2013 Q3 LFS 484201324 Mexico 2013 Q4 LFS 484201421 Mexico 2014 Q1 LFS 484201422 Mexico 2014 Q2 LFS 484201423 Mexico 2014 Q3 LFS 484201424 Mexico 2014 Q4 LFS 484201521 Mexico 2015 Q1 LFS 484201522 Mexico 2015 Q2 LFS 484201523 Mexico 2015 Q3 LFS 484201524 Mexico 2015 Q4 LFS 484201621 Mexico 2016 Q1 LFS 484201622 Mexico 2016 Q2 LFS 484201623 Mexico 2016 Q3 LFS 484201624 Mexico 2016 Q4 LFS 484201721 Mexico 2017 Q1 LFS 484201722 Mexico 2017 Q2 LFS 484201723 Mexico 2017 Q3 LFS 484201724 Mexico 2017 Q4 LFS 484201821 Mexico 2018 Q1 LFS 484201822 Mexico 2018 Q2 LFS 484201823 Mexico 2018 Q3 LFS 484201824 Mexico 2018 Q4 LFS 484201921 Mexico 2019 Q1 LFS 484201922 Mexico 2019 Q2 LFS 484201923 Mexico 2019 Q3 LFS 484201924 Mexico 2019 Q4 LFS 484202021 Mexico 2020 Q1 LFS 484202023 Mexico 2020 Q3 LFS 496198901 Mongolia 1989 496200001 Mongolia 2000 504198201 Morocco 1982 504199401 Morocco 1994 504200401 Morocco 2004 504201401 Morocco 2014 508199701 Mozambique 1997 508200701 Mozambique 2007 104201401 Myanmar 2014 524200101 Nepal 2001 524201101 Nepal 2011 528196001 Netherlands 1960 528197101 Netherlands 1971 528200101 Netherlands 2001 528201101 Netherlands 2011 558197101 Nicaragua 1971 558199501 Nicaragua 1995 558200501 Nicaragua 2005 566200621 Nigeria 2006 566200721 Nigeria 2007 566200821 Nigeria 2008 566200921 Nigeria 2009 566201021 Nigeria 2010 578180101 Norway 1801 578186501 Norway 1865 578187501 Norway 1875 578190001 Norway 1900 578191001 Norway 1910 586197301 Pakistan 1973 586198101 Pakistan 1981 586199801 Pakistan 1998 275199701 Palestine 1997 275200701 Palestine 2007 275201701 Palestine 2017 591196001 Panama 1960 591197001 Panama 1970 591198001 Panama 1980 591199001 Panama 1990 591200001 Panama 2000 591201001 Panama 2010 598198001 Papua New Guinea 1980 598199001 Papua New Guinea 1990 598200001 Papua New Guinea 2000 600196201 Paraguay 1962 600197201 Paraguay 1972 600198201 Paraguay 1982 600199201 Paraguay 1992 600200201 Paraguay 2002 604199301 Peru 1993 604200701 Peru 2007 604201701 Peru 2017 608199001 Philippines 1990 608199501 Philippines 1995 608200001 Philippines 2000 608201001 Philippines 2010 616197801 Poland 1978 616198801 Poland 1988 616200201 Poland 2002 616201101 Poland 2011 620198101 Portugal 1981 620199101 Portugal 1991 620200101 Portugal 2001 620201101 Portugal 2011 630197001 Puerto Rico 1970 630198001 Puerto Rico 1980 630199001 Puerto Rico 1990 630200001 Puerto Rico 2000 630200501 Puerto Rico 2005 630201001 Puerto Rico 2010 630201501 Puerto Rico 2015 630202001 Puerto Rico 2020 642197701 Romania 1977 642199201 Romania 1992 642200201 Romania 2002 642201101 Romania 2011 643200201 Russia 2002 643201001 Russia 2010 646199101 Rwanda 1991 646200201 Rwanda 2002 646201201 Rwanda 2012 662198001 Saint Lucia 1980 662199101 Saint Lucia 1991 686198801 Senegal 1988 686200201 Senegal 2002 686201301 Senegal 2013 694200401 Sierra Leone 2004 694201501 Sierra Leone 2015 703199101 Slovak Republic 1991 703200101 Slovak Republic 2001 703201101 Slovak Republic 2011 705200201 Slovenia 2002 710199601 South Africa 1996 710200101 South Africa 2001 710200701 South Africa 2007 710201101 South Africa 2011 710201601 South Africa 2016 728200801 South Sudan 2008 724198101 Spain 1981 724199101 Spain 1991 724200101 Spain 2001 724201101 Spain 2011 724200521 Spain 2005 Q1 LFS 724200522 Spain 2005 Q2 LFS 724200523 Spain 2005 Q3 LFS 724200524 Spain 2005 Q4 LFS 724200621 Spain 2006 Q1 LFS 724200622 Spain 2006 Q2 LFS 724200623 Spain 2006 Q3 LFS 724200624 Spain 2006 Q4 LFS 724200721 Spain 2007 Q1 LFS 724200722 Spain 2007 Q2 LFS 724200723 Spain 2007 Q3 LFS 724200724 Spain 2007 Q4 LFS 724200821 Spain 2008 Q1 LFS 724200822 Spain 2008 Q2 LFS 724200823 Spain 2008 Q3 LFS 724200824 Spain 2008 Q4 LFS 724200921 Spain 2009 Q1 LFS 724200922 Spain 2009 Q2 LFS 724200923 Spain 2009 Q3 LFS 724200924 Spain 2009 Q4 LFS 724201021 Spain 2010 Q1 LFS 724201022 Spain 2010 Q2 LFS 724201023 Spain 2010 Q3 LFS 724201024 Spain 2010 Q4 LFS 724201121 Spain 2011 Q1 LFS 724201122 Spain 2011 Q2 LFS 724201123 Spain 2011 Q3 LFS 724201124 Spain 2011 Q4 LFS 724201221 Spain 2012 Q1 LFS 724201222 Spain 2012 Q2 LFS 724201223 Spain 2012 Q3 LFS 724201224 Spain 2012 Q4 LFS 724201321 Spain 2013 Q1 LFS 724201322 Spain 2013 Q2 LFS 724201323 Spain 2013 Q3 LFS 724201324 Spain 2013 Q4 LFS 724201421 Spain 2014 Q1 LFS 724201422 Spain 2014 Q2 LFS 724201423 Spain 2014 Q3 LFS 724201424 Spain 2014 Q4 LFS 724201521 Spain 2015 Q1 LFS 724201522 Spain 2015 Q2 LFS 724201523 Spain 2015 Q3 LFS 724201524 Spain 2015 Q4 LFS 724201621 Spain 2016 Q1 LFS 724201622 Spain 2016 Q2 LFS 724201623 Spain 2016 Q3 LFS 724201624 Spain 2016 Q4 LFS 724201721 Spain 2017 Q1 LFS 724201722 Spain 2017 Q2 LFS 724201723 Spain 2017 Q3 LFS 724201724 Spain 2017 Q4 LFS 724201821 Spain 2018 Q1 LFS 724201822 Spain 2018 Q2 LFS 724201823 Spain 2018 Q3 LFS 724201824 Spain 2018 Q4 LFS 724201921 Spain 2019 Q1 LFS 724201922 Spain 2019 Q2 LFS 724201923 Spain 2019 Q3 LFS 724201924 Spain 2019 Q4 LFS 724202021 Spain 2020 Q1 LFS 724202022 Spain 2020 Q2 LFS 724202023 Spain 2020 Q3 LFS 724202024 Spain 2020 Q4 LFS 729200801 Sudan 2008 740200401 Suriname 2004 740201201 Suriname 2012 752188001 Sweden 1880 752189001 Sweden 1890 752190001 Sweden 1900 752191001 Sweden 1910 756197001 Switzerland 1970 756198001 Switzerland 1980 756199001 Switzerland 1990 756200001 Switzerland 2000 756201101 Switzerland 2011 834198801 Tanzania 1988 834200201 Tanzania 2002 834201201 Tanzania 2012 764197001 Thailand 1970 764198001 Thailand 1980 764199001 Thailand 1990 764200001 Thailand 2000 768196001 Togo 1960 768197001 Togo 1970 768201001 Togo 2010 780197001 Trinidad and Tobago 1970 780198001 Trinidad and Tobago 1980 780199001 Trinidad and Tobago 1990 780200001 Trinidad and Tobago 2000 780201101 Trinidad and Tobago 2011 792198501 Turkey 1985 792199001 Turkey 1990 792200001 Turkey 2000 800199101 Uganda 1991 800200201 Uganda 2002 800201401 Uganda 2014 804200101 Ukraine 2001 826185101 United Kingdom 1851 (England and Wales) 826185102 United Kingdom 1851 (Scotland) 826185103 United Kingdom 1851 (2% sample) 826186101 United Kingdom 1861 (England and Wales) 826186102 United Kingdom 1861 (Scotland) 826187101 United Kingdom 1871 (Scotland) 826188101 United Kingdom 1881 (England and Wales) 826188102 United Kingdom 1881 (Scotland) 826189101 United Kingdom 1891 (England and Wales) 826189102 United Kingdom 1891 (Scotland) 826190101 United Kingdom 1901 (England and Wales) 826190102 United Kingdom 1901 (Scotland) 826191101 United Kingdom 1911 (England and Wales) 826196101 United Kingdom 1961 826197101 United Kingdom 1971 826199101 United Kingdom 1991 826200101 United Kingdom 2001 840185001 United States 1850 (100%) 840185002 United States 1850 (1%) 840186001 United States 1860 (1%) 840187001 United States 1870 (1%) 840188001 United States 1880 (100%) 840188002 United States 1880 (10%) 840190001 United States 1900 (5%) 840191001 United States 1910 (1%) 840196001 United States 1960 840197001 United States 1970 840198001 United States 1980 840199001 United States 1990 840200001 United States 2000 840200501 United States 2005 840201001 United States 2010 840201501 United States 2015 840202001 United States 2020 858196301 Uruguay 1963 858196302 Uruguay 1963 (full count) 858197501 Uruguay 1975 858197502 Uruguay 1975 (full count) 858198501 Uruguay 1985 858198502 Uruguay 1985 (full count) 858199601 Uruguay 1996 858199602 Uruguay 1996 (full count) 858200621 Uruguay 2006 858201101 Uruguay 2011 858201102 Uruguay 2011 (full count) 862197101 Venezuela 1971 862198101 Venezuela 1981 862199001 Venezuela 1990 862200101 Venezuela 2001 704198901 Vietnam 1989 704199901 Vietnam 1999 704200901 Vietnam 2009 704201901 Vietnam 2019 894199001 Zambia 1990 894200001 Zambia 2000 894201001 Zambia 2010 716201201 Zimbabwe 2012 SAMPLE identifies the IPUMS sample from which the case is drawn. Each sample receives a unique 9-digit code. The code is structured as follows: The first 3 digits are the ISO/UN codes used in COUNTRY The next 4 digits are the year of the census/survey The final 2 digits identify the sample within the year. For the last two digits, censuses or large census-like surveys have a value "0" (e.g, 01) in the second-to-last digit, household surveys have a value of "2" (e.g., 21), and employment surveys have a value of "4" (e.g., 41). IPUMS Household serial number SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database. SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred: Chile 1970, 1992, 2002Colombia 1993, 2005Costa Rica 1984, 2000Cuba 2002Dominican Republic 1981, 2002, 2010Ecuador 1990, 2001Germany 1971Hungary 1980, 1990, 2001Jamaica 1982, 1991, 2001Malaysia 1970, 1991, 2000Mexico 1995, 1990, 2000, 2005Nigeria 2006Panama 2000Peru 1993, 2007Portugal 1981, 1991, 2001Spain 1991Uruguay 2011Venezuela 1990, 2001Vietnam 1989In all other samples, the last 3 digits are always zeroes. SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets. The U.S. 1900 sample and 1880 10% sample have multi-household dwellings that can be identified using the last 3 digits of SERIAL. SERIAL is a 10-digit numeric variable. The last 3 digits of SERIAL indicate household number within dwelling for selected samples noted in the variable description. In all other samples, the last 3 digits are always zeroes. IPUMS Number of person records in the household PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons. PERSONS is a 4-digit numeric variable. IPUMS Household weight HHWT indicates the number of households in the population represented by the household in the sample. For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics. NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. IPUMS Subsample number 00 1st 1% subsample 01 2nd 1% subsample 02 3rd 1% subsample 03 4th 1% subsample 04 5th 1% subsample 05 6th 1% subsample 06 7th 1% subsample 07 8th 1% subsample 08 9th 1% subsample 09 10th 1% subsample 10 11th 1% subsample 11 12th 1% subsample 12 13th 1% subsample 13 14th 1% subsample 14 15th 1% subsample 15 16th 1% subsample 16 17th 1% subsample 17 18th 1% subsample 18 19th 1% subsample 19 20th 1% subsample 20 21st 1% subsample 21 22nd 1% subsample 22 23rd 1% subsample 23 24th 1% subsample 24 25th 1% subsample 25 26th 1% subsample 26 27th 1% subsample 27 28th 1% subsample 28 29th 1% subsample 29 30th 1% subsample 30 31st 1% subsample 31 32nd 1% subsample 32 33rd 1% subsample 33 34th 1% subsample 34 35th 1% subsample 35 36th 1% subsample 36 37th 1% subsample 37 38th 1% subsample 38 39th 1% subsample 39 40th 1% subsample 40 41st 1% subsample 41 42nd 1% subsample 42 43rd 1% subsample 43 44th 1% subsample 44 45th 1% subsample 45 46th 1% subsample 46 47th 1% subsample 47 48th 1% subsample 48 49th 1% subsample 49 50th 1% subsample 50 51st 1% subsample 51 52nd 1% subsample 52 53rd 1% subsample 53 54th 1% subsample 54 55th 1% subsample 55 56th 1% subsample 56 57th 1% subsample 57 58th 1% subsample 58 59th 1% subsample 59 60th 1% subsample 60 61st 1% subsample 61 62nd 1% subsample 62 63rd 1% subsample 63 64th 1% subsample 64 65th 1% subsample 65 66th 1% subsample 66 67th 1% subsample 67 68th 1% subsample 68 69th 1% subsample 69 70th 1% subsample 70 71st 1% subsample 71 72nd 1% subsample 72 73rd 1% subsample 73 74th 1% subsample 74 75th 1% subsample 75 76th 1% subsample 76 77th 1% subsample 77 78th 1% subsample 78 79th 1% subsample 79 80th 1% subsample 80 81st 1% subsample 81 82nd 1% subsample 82 83rd 1% subsample 83 84th 1% subsample 84 85th 1% subsample 85 86th 1% subsample 86 87th 1% subsample 87 88th 1% subsample 88 89th 1% subsample 89 90th 1% subsample 90 91st 1% subsample 91 92nd 1% subsample 92 93rd 1% subsample 93 94th 1% subsample 94 95th 1% subsample 95 96th 1% subsample 96 97th 1% subsample 97 98th 1% subsample 98 99th 1% subsample 99 100th 1% subsample SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples. IPUMS Strata identifier This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation. STRATA is a 12-digit numeric variable. IPUMS Group quarters (collective dwelling) status 00 Vacant 10 Households 20 Group quarters (collective), n.s. 21 Institutions 22 Other group quarters 29 1-person unit created by splitting large household 99 Unknown/group quarters not identified GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools. Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification. Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions. IPUMS Number of unrelated persons 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ UNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE. IPUMS Urban-rural status 1 Rural 2 Urban 9 Unknown URBAN indicates whether the household was located in a place designated as urban or as rural. IPUMS Continent and region of country 11 Eastern Africa 12 Middle Africa 13 Northern Africa 14 Southern Africa 15 Western Africa 21 Caribbean 22 Central America 23 North America 24 South America 31 Central Asia 32 Eastern Asia 33 Southern Asia 34 South-Eastern Asia 35 Western Asia 41 Eastern Europe 42 Northern Europe 43 Southern Europe 44 Western Europe 51 Australia and New Zealand 52 Melanesia 53 Micronesia 54 Polynesia REGIONW identifies the continent and region of each country. IPUMS 1st subnational geographic level, world [consistent boundaries over time] GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV1 is a 6-digit numeric variable. GEOLEV1 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO1_BR. IPUMS Nomenclature of Territorial Units for Statistics 1, Europe 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 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. IPUMS Nomenclature of Territorial Units for Statistics 2, Europe 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 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. IPUMS Nomenclature of Territorial Units for Statistics 3, Europe 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 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. IPUMS Population density of GEOLEV1 unit, in persons per square kilometer POPDENSGEO1 indicates the population density in persons per square kilometer of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO1 is an 8-digit string variable listing the population density in persons per square kilometer. IPUMS Area of GEOLEV1 unit in square kilometers AREAMOLLWGEO1 indicates the area in square kilometers of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO1 is a 10-digit string variable listing the area in square kilometers. IPUMS Romania, County 1977 - 2011 [Level 1; consistent boundaries, GIS] 642001 Alba 642002 Arad 642003 Arges 642004 Bacau 642005 Bihor 642006 Bistrita Nasaud 642007 Botosani 642008 Brasov 642009 Braila 642010 Buzau 642011 Caras Severin 642012 Cluj 642013 Constanta 642014 Covasna 642015 Dambovita 642016 Dolj 642017 Galati 642018 Gorj 642019 Harghita 642020 Hunedoara 642022 Iasi 642024 Maramures 642025 Mehedinti 642026 Mures 642027 Neamt 642028 Olt 642029 Prahova 642030 Satu Mare 642031 Salaj 642032 Sibiu 642033 Suceava 642034 Teleorman 642035 Timis 642036 Tulcea 642037 Vaslui 642038 Valcea 642039 Vrancea 642043 Bucharest Sector 1 to 6 642051 Calarasi, Giurgiu, Ialomita, Ilfov GEO1_RO identifies the household's county within Romania in all sample years. Counties are the first level administrative units of the country. GEO1_RO 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_RO can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Romania can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. IPUMS Romania, County 1992 [Level 1, GIS] 001 Alba 002 Arad 003 Arges 004 Bacau 005 Bihor 006 Bistrita Nasaud 007 Botosani 008 Brasov 009 Braila 010 Buzau 011 Caras Severin 012 Calarasi 013 Cluj 014 Constanta 015 Covasna 016 Dambovita 017 Dolj 018 Galati 019 Giurgiu 020 Gorj 021 Harghita 022 Hunedoara 023 Ialomita 024 Iasi 025 Maramures 026 Mehedinti 027 Mures 028 Neamt 029 Olt 030 Prahova 031 Satu mare 032 Salaj 033 Sibiu 034 Suceava 035 Teleorman 036 Timis 037 Tulcea 038 Vaslui 039 Valcea 040 Vrancea 041 Sector 1 of Bucharest 042 Sector 2 of Bucharest 043 Sector 3 of Bucharest 044 Sector 4 of Bucharest 045 Sector 5 of Bucharest 046 Sector 6 of Bucharest 047 Sector 7 of Bucharest GEO1_ RO1992 identifies the household's county within Romania in 1992. Counties are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_ RO1992 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Romania can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. IPUMS Romania, Region 1 North-East 2 South-East 3 South 4 South-West 5 West 6 North-West 7 Center 8 Bucharest REGNRO indicates the region in Romania in all sample years. REGNRO is harmonized by name and does not account for boundary changes over time. The full set of geography variables for Romania can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. IPUMS Electricity NIU (not in universe) 1 Yes 2 No 9 Unknown ELECTRIC indicates whether the household had access to electricity. IPUMS Water supply 00 NIU (not in universe) 10 Yes, piped water 11 Piped inside dwelling 12 Piped, exclusively to this household 13 Piped, shared with other households 14 Piped outside the dwelling 15 Piped outside dwelling, in building 16 Piped within the building or plot of land 17 Piped outside the building or lot 18 Have access to public piped water 20 No piped water 99 Unknown WATSUP describes the physical means by which the housing unit receives its water. The primary distinction is whether or not the household had piped (running) water. IPUMS Sewage 00 NIU (not in universe) 10 Connected to sewage system or septic tank 11 Sewage system (public sewage disposal) 12 Septic tank (private sewage disposal) 20 Not connected to sewage disposal system 99 Unknown SEWAGE indicates whether the household has access to a sewage system or septic tank. IPUMS Fuel for heating 00 NIU (not in universe) 01 None 02 Electricity 03 Fuel oil, kerosene, other liquid fuels 04 Kerosene/paraffin 05 Diesel 06 Gas 07 Bottled gas, in tank, liquified 08 Solid fuel 09 Coal 10 Wood 11 Wood or coal 12 Solar 13 Animal dung 14 Charcoal 15 Biofuel 16 Other 17 Multiple sources 99 Unknown FUELHEAT indicates the main fuel source for heating the household. IPUMS Hot water heater NIU (not in universe) 1 No 2 Yes 9 Unknown/missing HOTWATER indicates whether the housing unit had a water heater. IPUMS Central heating 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 HEAT indicates the type of heating in the dwelling: individual or collective central heating, non-central heating, or none. IPUMS Number of rooms 00 Part of a room; no rooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) ROOMS indicates the number of rooms occupied by the housing unit. IPUMS Kitchen or cooking facilities 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 KITCHEN indicates whether the household had a kitchen, cooking facilities, or room dedicated to food preparation. IPUMS Toilet 00 NIU (not in universe) 10 No toilet 11 No flush toilet 20 Have toilet, type not specified 21 Flush toilet 22 Non-flush, latrine 23 Non-flush, other and unspecified 99 Unknown TOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation. IPUMS Bathing facilities 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 BATH indicates whether the household had access to bathing facilities and, in most cases, whether it had exclusive access. IPUMS Wall or building material 000 NIU (not in universe) 100 No walls 200 Cardboard, scrap, and miscellaneous materials 201 Waste, scrap, or discarded material 202 Fabric or discarded material 203 Zinc, fabric, cardboard, tins, and waste material 204 Cardboard sheet 205 Plastic sheeting, cardboard 206 Makeshift, salvaged, or improvised materials 207 Reused materials 300 Wood 310 Rough wood 320 Wood, fibercement or plywood 330 Wood, formica, and other 340 Wood or bamboo 350 Wood or straw 400 Other plant-based materials 401 Plantain leaves and similar material 402 Bamboo or cane 403 Bamboo, sawali, cogon, nipa 404 Straw or bamboo 405 Grass, straw or reed 406 Reed, bamboo, or palm 407 Cane, palm leaves, logs 408 Palm leaves or palm planks 409 Bark, sticks, or cane 500 Masonry, stone, cement, adobe, metal, glass, and other fabricated materials (sometimes mixed with wood) 501 Brick, block, stone, or cement 502 Brick, stone, concrete 503 Brick, stone, or substitutes (dividing panels made of reinforced concrete) 504 Brick, stone, or substitutes (dividing panels made of wood) 505 Brick or tile 506 Brick or stone 507 Brick or cement block 508 Brick with plaster exterior 509 Brick without plaster exterior 510 Burnt or stabilized brick 511 Covered brick 512 Brick 513 Unburnt brick 514 Unburnt brick with cement 515 Unburnt brick with mud 516 Concrete 517 Landcrete, sandcrete 518 Cement blocks 519 Cement blocks or brick 520 Cement blocks or brick, unfinished 521 Cement and adobe bricks 522 Cement and stone block 523 Cement and tiles 524 Reinforced concrete, pre-cast concrete panels, or steel skeleton framed concrete 525 Concrete, reinforced concrete, blocks, panels 526 Fibercement 527 Adobe 528 Adobe walls with plaster exterior 529 Adobe walls without plaster exterior 530 Adobe with cement exterior 531 Wood and earth adobe 532 Wood and cement adobe 533 Mud or adobe 534 Pressed dirt 535 Clay 536 Coated clay/mud with sticks/cane 537 Clay or clay-covered sticks 538 Netted bamboo or cane with mud 539 Bundle of mud, straw, other materials 540 Mud with wood/wattle 541 Pole and mud 542 Mud with cement 543 Unfinished lathe and plaster, stucco, etc. 544 Stone 545 Hand-laid stone 546 Quarried stone 547 Cut stone and concrete 548 Cemented stone 549 Stone with clay 550 Blocks of light material 551 Prefabricated material 552 Asbestos 553 Metal or asbestos sheet 554 Metal or iron sheet 555 Metal or fibercement sheeting 556 Galvanized iron or aluminum 557 Tin 558 Glass 559 Cloth 560 Covintec panels 561 Mixed material 562 Mixed material: part wood; part concrete, brick, or stone 563 Wood plastered with clay, adobe, other materials; wood pressed panels; rolled mud bricks; etc. 564 Mixed material: wood or galvanized metal 570 Mainly permanent materials 600 Other material 601 Partition wall, lined with wood or steel 602 Partition wall, unlined 999 Unknown/missing This variable indicates the primary material used in the construction of the dwelling, particularly the dwelling's exterior walls. IPUMS 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+ IPUMS Household classification 00 Vacant household 01 One-person household 02 Married/cohab couple, no children 03 Married/cohab couple with children 04 Single-parent family 05 Polygamous family 06 Extended family, relatives only 07 Composite household, family and non-relatives 08 Non-family household 09 Unclassified subfamily 10 Other relative or non-relative household 11 Group quarters 99 Unclassifiable HHTYPE is a constructed variable that describes the composition of households. HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ. IPUMS Number of families in household Vacant household 1 1 family 2 2 families 3 3 families 4 4 families 5 5 families 6 6 families 7 7 families 8 8 families 9 9 or more families NFAMS is a constructed variable that indicates the number of families within each household. Family membership is defined by FAMUNIT. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and a domestic employee contains two families; a household consisting of a large, multi-generation extended family with no persons unrelated to the head counts as a single family. NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail. IPUMS Number of married couples in household No married couples in household 1 1 couple 2 2 couples 3 3 couples 4 4 couples 5 5 couples 6 6 couples 7 7 couples 8 8 couples 9 9 or more couples NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household. NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household). IPUMS Number of mothers in household No mothers in household 1 1 mother 2 2 mothers 3 3 mothers 4 4 mothers 5 5 mothers 6 6 mothers 7 7 mothers 8 8 mothers 9 9 or more mothers in household NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household. NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household). IPUMS Number of fathers in household No fathers in household 1 1 father 2 2 fathers 3 3 fathers 4 4 fathers 5 5 fathers 6 6 fathers 7 7 fathers 8 8 fathers 9 9 or more fathers in household NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household. NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household). IPUMS Head's location in household HEADLOC gives the person number (PERNUM) of the head of household in samples in which persons are organized into households. HEADLOC is a 3-digit numeric variable. IPUMS Dwelling number Romania 1992: All households This variable indicates the dwelling number. This is a 6-digit numeric variable with 0 implied decimal places IPUMS Number of persons in household Romania 1992: All households 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 This variable indicates the number of persons in the household. IPUMS Urban/rural Romania 1992: All households 1 Urban area 2 Rural area This variable indicates whether household is located in urban or rural area. IPUMS Order number of the household in the dwelling <svar a="all" v="RO92A021"><span class="em">_ Household order number</span><br /></svar> Romania 1992: All households 1 1 2 2 3 3 4 4 5 5 6 6 This variable indicates the order number of the household in the dwelling. IPUMS Designation of the building <svar v="RO92A022 RO92A023 RO92A024 RO92A064 RO92A025"><span class="h2">Chap. III Data on the building where the dwelling is located</span><br /><span class="em">To completed by the first dwelling in the building</span><br /></svar></p> <p><svar a="all" v="RO92A023"><span class="em">16 Building usage</span><br /><div class="i1">[] 1 Exclusively residential<br />[] 2 Other purposes that allow dwellings<br />[] 3 Units of communal living where there are dwellings<br />[] 4 Building under construction but partially occupied</div><br /></svar> Romania 1992: All households 1 For living 2 Other designation, but having dwellings 3 Collective housing units where dwellings are existing 4 Building under construction, partially occupied This variable indicates the actual designation of the building. IPUMS Year of construction <svar v="RO92A022 RO92A023 RO92A024 RO92A064 RO92A025"><span class="h2">Chap. III Data on the building where the dwelling is located</span><br /><span class="em">To completed by the first dwelling in the building</span><br /></svar></p> <p><svar a="all" v="RO92A024 RO92A064"><span class="em">17 Year of construction </span><br /><div class="i1">19 _ _</div><br /></svar> Romania 1992: All households 00 1900 or earlier 01 1901 02 1902 03 1903 04 1904 05 1905 06 1906 07 1907 08 1908 09 1909 10 1910 11 1911 12 1912 13 1913 14 1914 15 1915 16 1916 17 1917 18 1918 19 1919 20 1920 21 1921 22 1922 23 1923 24 1924 25 1925 26 1926 27 1927 28 1928 29 1929 30 1930 31 1931 32 1932 33 1933 34 1934 35 1935 36 1936 37 1937 38 1938 39 1939 40 1940 41 1941 42 1942 43 1943 44 1944 45 1945 46 1946 47 1947 48 1948 49 1949 50 1950 51 1951 52 1952 53 1953 54 1954 55 1955 56 1956 57 1957 58 1958 59 1959 60 1960 61 1961 62 1962 63 1963 64 1964 65 1965 66 1966 67 1967 68 1968 69 1969 70 1970 71 1971 72 1972 73 1973 74 1974 75 1975 76 1976 77 1977 78 1978 79 1979 80 1980 81 1981 82 1982 83 1983 84 1984 85 1985 86 1986 87 1987 88 1988 89 1989 90 1990 91 1991 92 1992 99 Undeclared This variable indicates the year of construction. IPUMS Material used for outer walls <svar v="RO92A022 RO92A023 RO92A024 RO92A064 RO92A025"><span class="h2">Chap. III Data on the building where the dwelling is located</span><br /><span class="em">To completed by the first dwelling in the building</span><br /></svar></p> <p><svar a="all" v="RO92A025"><span class="em">18 Material of external walls</span><br /><div class="i1">[] 1 Reinforced concrete or prefabricated concrete<br /><br />Brick, stone, or substitutes, with floors made of:<br />[] 2 Reinforced concrete<br />[] 3 Wood<br /><br />[] 4 Wood (beams, logs, etc)<br />[] 5 Half-timber, adobe, other materials</div><br /></svar> Romania 1992: All households 1 Reinforced concrete, pre-cast concrete panels or steel skeleton framed concrete 2 Brick, stone, or substitutes, with dividing panels between floors made of reinforced concrete (metallic beams) 3 Brick, stone, or substitutes, with dividing panels between floors made of wood 4 Wood (beams, logs etc.) 5 Saplings plastered with wet clay, adobe, and other materials; wood pressed panels; rolled mud bricks; etc. 9 Unknown This variable indicates the material used for the outer walls construction. IPUMS Type of building Romania 1992: All households Non-conventional housing unit 1 For living, with 1 dwelling 2 For living, with 2 or more dwellings 3 For living - block 4 Other, having dwellings 5 Collective housing units with dwellings This variable indicates the type of building. IPUMS Top floor of the building Romania 1992: Conventional households; not collective, partially occupied, or under construction [discrepancies: none] 00 NIU (not in universe) 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10+ 30 Basement 40 Semi-basement 50 Ground floor 60 Mezzanine 70 Attic This variable indicates the top floor of the building. IPUMS Type of ownership, building <svar v="RO92A030 RO92A042 RO92A043 RO92A033 RO92A044 RO92A045 RO92A034 RO92A046 RO92A047 RO92A035 RO92A048 RO92A036 RO92A049 RO92A037 RO92A050 RO92A038 RO92A051 RO92A028 RO92A029 RO92A052 RO92A053 RO92A061 RO92A062 RO92A054 RO92A055 RO92A056 RO92A057"><span class="h2">Chap. II Data on housing unit</span><br /><span class="em">To be completed by the first household in the dwelling only</span><br /></svar></p> <p><svar a="all" v="RO92A033 RO92A044"><span class="em">3 Type of ownership</span><br /><div class="i1">[] 1 Private<br />[] 2 State-owned<br />[] 3 Religious institution-owned<br />[] 4 Other type of ownership</div><br /></svar> Romania 1992: Conventional households [discrepancies: none] 1 Private 2 Public 3 Religious cults 4 Other 5 Mixed 9 NIU (not in universe) This variable indicates the type ownership of the building. IPUMS Water supply system, building <svar v="RO92A030 RO92A042 RO92A043 RO92A033 RO92A044 RO92A045 RO92A034 RO92A046 RO92A047 RO92A035 RO92A048 RO92A036 RO92A049 RO92A037 RO92A050 RO92A038 RO92A051 RO92A028 RO92A029 RO92A052 RO92A053 RO92A061 RO92A062 RO92A054 RO92A055 RO92A056 RO92A057"><span class="h2">Chap. II Data on housing unit</span><br /><span class="em">To be completed by the first household in the dwelling only</span><br /></svar></p> <p><svar a="all" v="RO92A034 RO92A046"><span class="em">5 Water supply installation</span><br /><div class="i1"><span class="em">Has</span> water supply installation in dwelling from:<br />[] 1 public network<br />[] 2 private supply system<br /><br /><span class="em">Does not have</span> water installation in dwelling; water supply source is located:<br />[] 3 outside the dwelling but in the building<br />[] 4 outside the building</div><br /></svar> Romania 1992: Conventional households; not collective, partially occupied, or under construction [discrepancies: none] 1 Public network 2 Own system 3 Without water supply system 9 NIU (not in universe) This variable indicates how water is supplied to the building. IPUMS Sewage system, building <svar v="RO92A030 RO92A042 RO92A043 RO92A033 RO92A044 RO92A045 RO92A034 RO92A046 RO92A047 RO92A035 RO92A048 RO92A036 RO92A049 RO92A037 RO92A050 RO92A038 RO92A051 RO92A028 RO92A029 RO92A052 RO92A053 RO92A061 RO92A062 RO92A054 RO92A055 RO92A056 RO92A057"><span class="h2">Chap. II Data on housing unit</span><br /><span class="em">To be completed by the first household in the dwelling only</span><br /></svar></p> <p><svar a="all" v="RO92A035 RO92A048"><span class="em">7 Sewer installation</span><br /><div class="i1">[] 1 Public network<br />[] 2 Private supply system<br />[] 3 None</div><br /></svar> Romania 1992: Conventional households; not collective, partially occupied, or under construction [discrepancies: none] 1 Public network 2 Own system 3 Without sewage installation 9 NIU (not in universe) This variable indicates the kind of sewage system. IPUMS Electricity, building <svar v="RO92A030 RO92A042 RO92A043 RO92A033 RO92A044 RO92A045 RO92A034 RO92A046 RO92A047 RO92A035 RO92A048 RO92A036 RO92A049 RO92A037 RO92A050 RO92A038 RO92A051 RO92A028 RO92A029 RO92A052 RO92A053 RO92A061 RO92A062 RO92A054 RO92A055 RO92A056 RO92A057"><span class="h2">Chap. II Data on housing unit</span><br /><span class="em">To be completed by the first household in the dwelling only</span><br /></svar></p> <p><svar a="all" v="RO92A036 RO92A049"><span class="em">8 Electricity</span><br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> Romania 1992: Conventional households; not collective, partially occupied, or under construction [discrepancies: none] 1 Yes 2 No 9 NIU (not in universe) This variable indicates electricity for the building. IPUMS Gas for cooking, building <svar v="RO92A030 RO92A042 RO92A043 RO92A033 RO92A044 RO92A045 RO92A034 RO92A046 RO92A047 RO92A035 RO92A048 RO92A036 RO92A049 RO92A037 RO92A050 RO92A038 RO92A051 RO92A028 RO92A029 RO92A052 RO92A053 RO92A061 RO92A062 RO92A054 RO92A055 RO92A056 RO92A057"><span class="h2">Chap. II Data on housing unit</span><br /><span class="em">To be completed by the first household in the dwelling only</span><br /></svar></p> <p><svar a="all" v="RO92A037 RO92A050"><span class="em">9 Gas for cooking</span><br /><div class="i1">[] 1 Public network<br />[] 2 Gas cylinder<br />[] 3 No</div><br /></svar> Romania 1992: Conventional households; not collective, partially occupied, or under construction [discrepancies: none] 1 Piped gas from public network 2 Liquefied gas 3 Without gas 9 NIU (not in universe) This variable indicates the type of cooking gas supplied to the building. IPUMS Main type of heating, building <svar v="RO92A030 RO92A042 RO92A043 RO92A033 RO92A044 RO92A045 RO92A034 RO92A046 RO92A047 RO92A035 RO92A048 RO92A036 RO92A049 RO92A037 RO92A050 RO92A038 RO92A051 RO92A028 RO92A029 RO92A052 RO92A053 RO92A061 RO92A062 RO92A054 RO92A055 RO92A056 RO92A057"><span class="h2">Chap. II Data on housing unit</span><br /><span class="em">To be completed by the first household in the dwelling only</span><br /></svar></p> <p><svar a="all" v="RO92A038 RO92A051"><span class="em">10 Means of heating</span><br /><div class="i1">[] 1 District heating<br /><br />Heating station running on:<br />[] 2 Gas<br />[] 3 Solid fuel<br />[] 4 Liquid fuel<br /><br />Stove running on:<br />[] 5 Gas<br />[] 6 Solid fuel<br />[] 7 Liquid fuel<br /><br />[] 8 Other means</div><br /></svar> Romania 1992: Conventional households; not collective, partially occupied, or under construction [discrepancies: none] 1 Central heating for building 2 Own domestic heating system using natural gas 3 Own domestic heating system using solid fuel 4 Own domestic heating system using liquid fuel 5 Stove using natural gas 6 Stove using solid fuel 7 Stove using liquid fuel 8 Other type of heating 9 NIU (not in universe) This variable indicates the main type of heating used in the building. IPUMS Installed utilities in building Romania 1992: Conventional households; not collective, partially occupied, or under construction [discrepancies: none] NIU (not in universe) 1 Electric installation, piped gas from public network, water supply system, sewerage installation, thermal heating 2 Electric installation, piped gas from public network, water supply system, sewerage installation 3 Electric installation, water supply system, sewerage installation, thermal heating 4 Electric installation, water supply system, sewerage installation 5 Electric installation, piped gas from public network 6 Water supply system, sewerage installation 7 Electric installation 8 Other situation 9 Without utilities This variable indicates utilities installed in the building. IPUMS Occupancy status of dwellings in building Romania 1992: Conventional households; not collective, partially occupied, or under construction [discrepancies: none] 1 Occupied 2 Unoccupied 9 NIU (not in universe) This variable indicates the occupancy status of the dwelling. IPUMS Number of the households in dwelling <svar v="RO92A030 RO92A042 RO92A043 RO92A033 RO92A044 RO92A045 RO92A034 RO92A046 RO92A047 RO92A035 RO92A048 RO92A036 RO92A049 RO92A037 RO92A050 RO92A038 RO92A051 RO92A028 RO92A029 RO92A052 RO92A053 RO92A061 RO92A062 RO92A054 RO92A055 RO92A056 RO92A057"><span class="h2">Chap. II Data on housing unit</span><br /><span class="em">To be completed by the first household in the dwelling only</span><br /></svar></p> <p><svar a="all" v="RO92A030 RO92A042"><span class="em">1 Number of households in the dwelling</span><br /><div class="i1">___</div><br /></svar> Romania 1992: All households 1 1 2 2 3 3 4 4 5 5 6 6 7 7 This variable indicates the number of households in the dwelling. IPUMS Type of dwelling <svar v="RO92A030 RO92A042 RO92A043 RO92A033 RO92A044 RO92A045 RO92A034 RO92A046 RO92A047 RO92A035 RO92A048 RO92A036 RO92A049 RO92A037 RO92A050 RO92A038 RO92A051 RO92A028 RO92A029 RO92A052 RO92A053 RO92A061 RO92A062 RO92A054 RO92A055 RO92A056 RO92A057"><span class="h2">Chap. II Data on housing unit</span><br /><span class="em">To be completed by the first household in the dwelling only</span><br /></svar></p> <p><svar a="all" v="RO92A043"><span class="em">2 Type of dwelling</span><br /><div class="i1">[] 1 Permanent (primary)<br />[] 2 Seasonal (secondary)<br />[] 3 Unit occupied by necessity</div><br /></svar> Romania 1992: All households 1 Permanent (main, non-seasonal) 2 Non-conventional dwelling This variable indicates the type of the dwelling. IPUMS Type of ownership <svar v="RO92A030 RO92A042 RO92A043 RO92A033 RO92A044 RO92A045 RO92A034 RO92A046 RO92A047 RO92A035 RO92A048 RO92A036 RO92A049 RO92A037 RO92A050 RO92A038 RO92A051 RO92A028 RO92A029 RO92A052 RO92A053 RO92A061 RO92A062 RO92A054 RO92A055 RO92A056 RO92A057"><span class="h2">Chap. II Data on housing unit</span><br /><span class="em">To be completed by the first household in the dwelling only</span><br /></svar></p> <p><svar a="all" v="RO92A033 RO92A044"><span class="em">3 Type of ownership</span><br /><div class="i1">[] 1 Private<br />[] 2 State-owned<br />[] 3 Religious institution-owned<br />[] 4 Other type of ownership</div><br /></svar> Romania 1992: All households 1 Private 2 State 3 Religious institution 4 Other This variable indicates the type of ownership. IPUMS Floor where dwelling is located <svar v="RO92A030 RO92A042 RO92A043 RO92A033 RO92A044 RO92A045 RO92A034 RO92A046 RO92A047 RO92A035 RO92A048 RO92A036 RO92A049 RO92A037 RO92A050 RO92A038 RO92A051 RO92A028 RO92A029 RO92A052 RO92A053 RO92A061 RO92A062 RO92A054 RO92A055 RO92A056 RO92A057"><span class="h2">Chap. II Data on housing unit</span><br /><span class="em">To be completed by the first household in the dwelling only</span><br /></svar></p> <p><svar a="all" v="RO92A045"><span class="em">4 Floor where the dwelling is located</span><br /><div class="i1">[] 30 Basement<br />[] 40 Semi-basement<br />[] 50 Ground floor<br />[] 60 Mezzanine<br />_ _ Floor number<br />[] 70 Attic</div><br /></svar> Romania 1992: Conventional households [discrepancies: none] 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10+ 30 Basement 40 Semi-basement 50 Ground 60 Mezzanine 70 Attic 98 Unknown 99 NIU (not in universe) This variable indicates the floor of the building where the dwelling is located. IPUMS Water supply system <svar v="RO92A030 RO92A042 RO92A043 RO92A033 RO92A044 RO92A045 RO92A034 RO92A046 RO92A047 RO92A035 RO92A048 RO92A036 RO92A049 RO92A037 RO92A050 RO92A038 RO92A051 RO92A028 RO92A029 RO92A052 RO92A053 RO92A061 RO92A062 RO92A054 RO92A055 RO92A056 RO92A057"><span class="h2">Chap. II Data on housing unit</span><br /><span class="em">To be completed by the first household in the dwelling only</span><br /></svar></p> <p><svar a="all" v="RO92A034 RO92A046"><span class="em">5 Water supply installation</span><br /><div class="i1"><span class="em">Has</span> water supply installation in dwelling from:<br />[] 1 public network<br />[] 2 private supply system<br /><br /><span class="em">Does not have</span> water installation in dwelling; water supply source is located:<br />[] 3 outside the dwelling but in the building<br />[] 4 outside the building</div><br /></svar> Romania 1992: All households 1 Inside the dwelling-from the public network 2 Inside the dwelling-from the own system 3 Outside of the dwelling-inside the building 4 Outside of the dwelling-outside the building This variable indicates the water supply system of the dwelling. IPUMS Hot water supply installation <svar v="RO92A030 RO92A042 RO92A043 RO92A033 RO92A044 RO92A045 RO92A034 RO92A046 RO92A047 RO92A035 RO92A048 RO92A036 RO92A049 RO92A037 RO92A050 RO92A038 RO92A051 RO92A028 RO92A029 RO92A052 RO92A053 RO92A061 RO92A062 RO92A054 RO92A055 RO92A056 RO92A057"><span class="h2">Chap. II Data on housing unit</span><br /><span class="em">To be completed by the first household in the dwelling only</span><br /></svar></p> <p><svar a="all" v="RO92A047"><span class="em">6 Hot water installation</span><br /><div class="i1">[] 1 Public network<br />[] 2 Private supply system<br />[] 3 None</div><br /></svar> Romania 1992: All households 1 From public network 2 From own system 3 Without This variable indicates the hot water supply installation in dwelling. IPUMS Sewage installation <svar v="RO92A030 RO92A042 RO92A043 RO92A033 RO92A044 RO92A045 RO92A034 RO92A046 RO92A047 RO92A035 RO92A048 RO92A036 RO92A049 RO92A037 RO92A050 RO92A038 RO92A051 RO92A028 RO92A029 RO92A052 RO92A053 RO92A061 RO92A062 RO92A054 RO92A055 RO92A056 RO92A057"><span class="h2">Chap. II Data on housing unit</span><br /><span class="em">To be completed by the first household in the dwelling only</span><br /></svar></p> <p><svar a="all" v="RO92A035 RO92A048"><span class="em">7 Sewer installation</span><br /><div class="i1">[] 1 Public network<br />[] 2 Private supply system<br />[] 3 None</div><br /></svar> Romania 1992: All households 1 Public network 2 Own system 3 Without This variable indicates the sewage installation in dwelling. IPUMS Electrical installation <svar v="RO92A030 RO92A042 RO92A043 RO92A033 RO92A044 RO92A045 RO92A034 RO92A046 RO92A047 RO92A035 RO92A048 RO92A036 RO92A049 RO92A037 RO92A050 RO92A038 RO92A051 RO92A028 RO92A029 RO92A052 RO92A053 RO92A061 RO92A062 RO92A054 RO92A055 RO92A056 RO92A057"><span class="h2">Chap. II Data on housing unit</span><br /><span class="em">To be completed by the first household in the dwelling only</span><br /></svar></p> <p><svar a="all" v="RO92A036 RO92A049"><span class="em">8 Electricity</span><br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> Romania 1992: All households 1 Yes 2 No This variable indicates the electric installation in dwelling. IPUMS Gas for cooking <svar v="RO92A030 RO92A042 RO92A043 RO92A033 RO92A044 RO92A045 RO92A034 RO92A046 RO92A047 RO92A035 RO92A048 RO92A036 RO92A049 RO92A037 RO92A050 RO92A038 RO92A051 RO92A028 RO92A029 RO92A052 RO92A053 RO92A061 RO92A062 RO92A054 RO92A055 RO92A056 RO92A057"><span class="h2">Chap. II Data on housing unit</span><br /><span class="em">To be completed by the first household in the dwelling only</span><br /></svar></p> <p><svar a="all" v="RO92A037 RO92A050"><span class="em">9 Gas for cooking</span><br /><div class="i1">[] 1 Public network<br />[] 2 Gas cylinder<br />[] 3 No</div><br /></svar> Romania 1992: All households 1 Piped gas from public network 2 Liquefied gas 3 Without This variable indicates the type of gas for cooking in dwelling. IPUMS Main type of heating <svar v="RO92A030 RO92A042 RO92A043 RO92A033 RO92A044 RO92A045 RO92A034 RO92A046 RO92A047 RO92A035 RO92A048 RO92A036 RO92A049 RO92A037 RO92A050 RO92A038 RO92A051 RO92A028 RO92A029 RO92A052 RO92A053 RO92A061 RO92A062 RO92A054 RO92A055 RO92A056 RO92A057"><span class="h2">Chap. II Data on housing unit</span><br /><span class="em">To be completed by the first household in the dwelling only</span><br /></svar></p> <p><svar a="all" v="RO92A038 RO92A051"><span class="em">10 Means of heating</span><br /><div class="i1">[] 1 District heating<br /><br />Heating station running on:<br />[] 2 Gas<br />[] 3 Solid fuel<br />[] 4 Liquid fuel<br /><br />Stove running on:<br />[] 5 Gas<br />[] 6 Solid fuel<br />[] 7 Liquid fuel<br /><br />[] 8 Other means</div><br /></svar> Romania 1992: All households 1 Central heating for building 2 Own domestic heating system using natural gas 3 Own domestic heating system using solid fuel 4 Own domestic heating system using liquid fuel 5 Stove using natural gas 6 Stove using solid fuel 7 Stove using liquid fuel 8 Other type of heating This variable indicates the main type of heating in the dwelling. IPUMS Rooms in dwelling, excluding kitchen <svar v="RO92A030 RO92A042 RO92A043 RO92A033 RO92A044 RO92A045 RO92A034 RO92A046 RO92A047 RO92A035 RO92A048 RO92A036 RO92A049 RO92A037 RO92A050 RO92A038 RO92A051 RO92A028 RO92A029 RO92A052 RO92A053 RO92A061 RO92A062 RO92A054 RO92A055 RO92A056 RO92A057"><span class="h2">Chap. II Data on housing unit</span><br /><span class="em">To be completed by the first household in the dwelling only</span><br /></svar></p> <p><svar a="all" v="RO92A028 RO92A029 RO92A052 RO92A053 RO92A061 RO92A062"><span class="em">11 Rooms occupied</span><br /><div class="i1">(Bedroom, dining, room, sitting room, study (library), service room, living room)<br /><br />_ _ Number<br />_ _ _ Floor area<br />(Sq. meters without decimals)</div><br /></svar> Romania 1992: All households 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 17 17 18 18 20 20 This variable indicates the number of living space rooms occupied in the dwelling. Kitchen is not included. IPUMS Living area of dwelling, excluding kitchen <svar v="RO92A030 RO92A042 RO92A043 RO92A033 RO92A044 RO92A045 RO92A034 RO92A046 RO92A047 RO92A035 RO92A048 RO92A036 RO92A049 RO92A037 RO92A050 RO92A038 RO92A051 RO92A028 RO92A029 RO92A052 RO92A053 RO92A061 RO92A062 RO92A054 RO92A055 RO92A056 RO92A057"><span class="h2">Chap. II Data on housing unit</span><br /><span class="em">To be completed by the first household in the dwelling only</span><br /></svar></p> <p><svar a="all" v="RO92A028 RO92A029 RO92A052 RO92A053 RO92A061 RO92A062"><span class="em">11 Rooms occupied</span><br /><div class="i1">(Bedroom, dining, room, sitting room, study (library), service room, living room)<br /><br />_ _ Number<br />_ _ _ Floor area<br />(Sq. meters without decimals)</div><br /></svar> Romania 1992: All households 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 99 100 100 101 101 102 102 103 103 104 104 105 105 106 106 107 107 108 108 109 109 110 110 111 111 112 112 113 113 114 114 115 115 116 116 117 117 118 118 119 119 120 120 121 121 122 122 123 123 124 124 125 125 126 126 127 127 128 128 129 129 130 130 131 131 132 132 133 133 134 134 135 135 136 136 137 137 138 138 139 139 140 140 141 141 142 142 143 143 144 144 145 145 146 146 147 147 148 148 149 149 150 150 151 151 152 152 153 153 154 154 155 155 156 156 157 157 158 158 159 159 160 160 161 161 162 162 163 163 164 164 165 165 166 166 167 167 168 168 169 169 170 170 171 171 172 172 173 173 174 174 175 175 176 176 177 177 178 178 179 179 180 180 181 181 182 182 186 186 187 187 190 190 191 191 192 192 193 193 194 194 195 195 198 198 200 200+ This variable indicates the surface area of the living space rooms. IPUMS Kitchen <svar v="RO92A030 RO92A042 RO92A043 RO92A033 RO92A044 RO92A045 RO92A034 RO92A046 RO92A047 RO92A035 RO92A048 RO92A036 RO92A049 RO92A037 RO92A050 RO92A038 RO92A051 RO92A028 RO92A029 RO92A052 RO92A053 RO92A061 RO92A062 RO92A054 RO92A055 RO92A056 RO92A057"><span class="h2">Chap. II Data on housing unit</span><br /><span class="em">To be completed by the first household in the dwelling only</span><br /></svar></p> <p><svar a="all" v="RO92A054 RO92A055"><span class="em">12 Kitchen</span><br /><div class="i1">(Kitchenette)<br /><br />[] 1 Inside dwelling<br />[] 2 Outside dwelling<br />[] 3 None<br />_ _ Area (sq.m)</div><br /></svar> Romania 1992: All households 1 Inside the dwelling 2 Outside the dwelling 3 None This variable indicates the location and availability of the kitchen in the dwelling. IPUMS Bathroom <svar v="RO92A030 RO92A042 RO92A043 RO92A033 RO92A044 RO92A045 RO92A034 RO92A046 RO92A047 RO92A035 RO92A048 RO92A036 RO92A049 RO92A037 RO92A050 RO92A038 RO92A051 RO92A028 RO92A029 RO92A052 RO92A053 RO92A061 RO92A062 RO92A054 RO92A055 RO92A056 RO92A057"><span class="h2">Chap. II Data on housing unit</span><br /><span class="em">To be completed by the first household in the dwelling only</span><br /></svar></p> <p><svar a="all" v="RO92A056"><span class="em">13 Bathroom</span><br /><div class="i1">Yes:<br />[] 1 inside the dwelling<br />[] 2 outside the dwelling<br /><br />[] 3 None</div><br /></svar> Romania 1992: All households 1 Inside the dwelling 2 Outside the dwelling 3 None This variable indicates the location and availability of the bathroom in the dwelling. IPUMS Flush toilet <svar v="RO92A030 RO92A042 RO92A043 RO92A033 RO92A044 RO92A045 RO92A034 RO92A046 RO92A047 RO92A035 RO92A048 RO92A036 RO92A049 RO92A037 RO92A050 RO92A038 RO92A051 RO92A028 RO92A029 RO92A052 RO92A053 RO92A061 RO92A062 RO92A054 RO92A055 RO92A056 RO92A057"><span class="h2">Chap. II Data on housing unit</span><br /><span class="em">To be completed by the first household in the dwelling only</span><br /></svar></p> <p><svar a="all" v="RO92A057"><span class="em">14 Water closet (WC)</span><br /><div class="i1">Yes:<br />[] 1 inside the dwelling<br />[] 2 outside the dwelling<br /><br />[] 3 None</div><br /></svar> Romania 1992: All households 1 Inside the dwelling 2 Outside the dwelling 3 None This variable indicates the location and availability of flush toilet in the dwelling. IPUMS Tenure status of dwelling by tenure status of households Romania 1992: All households 01 Household in dwelling -- owner 02 Household in dwelling -- tenant 03 Household in dwelling -- other situation 04 2 or more households in dwelling -- owners 05 2 or more households in dwelling -- owners and tenants 06 2 or more households in dwelling -- owners, tenants and other situations 07 2 or more households in dwelling -- owners and other situations 08 2 or more households in dwelling -- tenants 09 2 or more households in dwelling -- tenants and other situations 10 2 or more households in dwelling -- other situations This variable indicates the tenure status of dwelling by tenure status of households. IPUMS Persons in dwelling Romania 1992: All households 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 24 24 25 25 26 26 27 27 28 28 29 29 31 31 39 39 42 42 This variable indicates the population in dwelling. IPUMS Number of rooms in dwelling, including kitchen <svar v="RO92A030 RO92A042 RO92A043 RO92A033 RO92A044 RO92A045 RO92A034 RO92A046 RO92A047 RO92A035 RO92A048 RO92A036 RO92A049 RO92A037 RO92A050 RO92A038 RO92A051 RO92A028 RO92A029 RO92A052 RO92A053 RO92A061 RO92A062 RO92A054 RO92A055 RO92A056 RO92A057"><span class="h2">Chap. II Data on housing unit</span><br /><span class="em">To be completed by the first household in the dwelling only</span><br /></svar></p> <p><svar a="all" v="RO92A028 RO92A029 RO92A052 RO92A053 RO92A061 RO92A062"><span class="em">11 Rooms occupied</span><br /><div class="i1">(Bedroom, dining, room, sitting room, study (library), service room, living room)<br /><br />_ _ Number<br />_ _ _ Floor area<br />(Sq. meters without decimals)</div><br /></svar> Romania 1992: All households 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 18 18 19 19 20 20 21 21 This variable indicates the number of living space rooms in the dwelling in square meters. It includes the kitchen if it is at least 4 square meters in area. IPUMS Total persons in household Romania 1992: All households 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 This variable indicates the number of persons in the household. IPUMS Number of children in household Romania 1992: All households 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 This variable indicates the number of children in household. IPUMS Number of economically active persons in household Romania 1992: All households 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 This variable indicates the number of economically active persons in household. IPUMS Number of supported persons in household Romania 1992: All households 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 This variable indicates the number of supported persons in household. IPUMS Number of supported children in household Romania 1992: All households 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 This variable indicates the number of supported children in household. IPUMS Number of employees in household Romania 1992: All households 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 This variable indicates the number of employees in household. IPUMS Number and type of generations in household Romania 1992: All households 101 One single person 102 One single married couple only 201 Household head and other persons 202 Married couple and other persons 301 Household head with children 302 Household head with parents 303 Household head, spouse and children 304 Household head, spose and parents 305 Household head with grandchildren and grandparents 306 Household head, spose and grandchildren and grandparents 401 Household head, children and other persons 402 Household head, parents and other persons 403 Household head, spouse, children and other persons 404 Household head, spouse, parents and other persons 405 Household head, grandchildren, grandparents and other persons 406 Household head, spouse, grandchildren , grandparents and other persons 501 Household head, children and parents 502 Household head, children and grandchildren 503 Household head, parents and grandparents 504 Household head, children and grandparents 505 Household head, parents and grandchildren 506 Household head, grandchildren and grandparents 507 Household head, spouse, children and parents 508 Household head, spouse, children and grandchildren 509 Household head, spouse, parents and grandparents 510 Household head, spouse, children and grandparents 511 Household head, spouse, parents and grandchildren 512 Household head, spouse, grandchildren and grandparents 601 Household head, children, parents and other persons 602 Household head, children, grandchildren and other persons 603 Household head, parents, grandparents and other persons 604 Household head, children, grandparents and other persons 605 Household head, parents, grandchildren and other persons 606 Household head, grandchildren, grandparents and other persons 607 Household head, spouse, children, parents and other persons 608 Household head, spouse, children, grandchildren and other persons 609 Household head, spouse, parents, grandparents and other persons 610 Household head, spouse, children, grandparents and other persons 611 Household head, spouse, parents, grandchildren and other persons 612 Household head, spouse, grandchildren, grandparents and other persons 701 Household head, children, parents and grandchildren 702 Household head, spouse, children, parents and grandchildren 703 Household head, children, parents and grandparents 704 Household head, spouse, children, parents and grandparents 705 Household head, parents, grandchildren and grandparents 706 Household head, spouse, parents, grandchildren and grandparents 707 Household head, children, grandchildren and grandparents 708 Household head, spouse, children, grandchildren and grandparents 709 Household head, children, parents, grandchildren and grandparents 710 Household head, spouse, children, parents, grandchildren and grandparents 801 Household head, children, parents, grandchildren and other persons 802 Household head, spouse, children, parents, grandchildren and other persons 803 Household head, children, parents, grandparents and other persons 804 Household head, spouse, children, parents, grandparents and other persons 805 Household head, parents, grandchildren, grandparents and other persons 806 Household head, spouse, parents, grandchildren, grandparents and other persons 807 Household head, children, grandchildren, grandparents and other persons 808 Household head, spouse, children, grandchildren, grandparents and other persons 809 Household head, children, parents, grandchildren, grandparents and other persons 810 Household head, spouse, children, parents, grandchildren, grandparents and other persons This variable indicates number and type of generations in household. IPUMS Relationship of household members Romania 1992: All households 211 One single person 221 Two or more related persons without any family nucleus 222 Two or more related and non-related persons without any family nucleus 111 One nucleus only 112 One nucleus with other related persons 113 One nucleus with other non-related persons 114 One nucleus with other related and non-related persons 121 Two related family nuclei only 122 Two related family nuclei with other persons 123 Two non-related family nuclei only 124 Two non-related family nuclei with other persons 131 Three family nuclei and over of which at least two related family nuclei 132 Three non-related family nuclei and over This variable indicates the relationship of household members. IPUMS Strata Romania 1992: All households This variable is the strata identifier for the sample. Strata is a constructed variable that captures implicit geographic stratification resulting from the sample design. It is created by assigning a unique identifier to groups of between 10 and 19 adjacent households. Additional documentation is available on the Variance Estimation page. This is a 5-digit numeric variable with 0 implied decimal places IPUMS Person number PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database. PERNUM is a 4-digit numeric variable. IPUMS Person weight PERWT indicates the number of persons in the actual population represented by the person in the sample. For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population. NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. IPUMS Mother's location in household MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers. The method by which probable child-mother links are identified is described in PARRULE. The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of MOMLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships. To restrict MOMLOC to biological mothers, such as for own children fertility estimation, MOMLOC should be reset to zero when STEPMOM is greater than zero. MOMLOC is a 3-digit numeric variable. Codes0 = No mother of this person present in the household. 1 or higher = The person number of this person's mother IPUMS Father's location in household POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers. The method by which probable child-father links are identified is described in PARRULE. The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of POPLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships. To restrict POPLOC to biological mothers, such as for own children fertility estimation, POPLOC should be reset to zero when STEPPOP is greater than zero. POPLOC is a 3-digit numeric variable. Codes0 = No father of this person present in the household. 1 or higher = The person number of this person's father IPUMS Spouse's location in household SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses. The method by which probable spouse-spouse links are identified is described in SPRULE. The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. For more details on the construction of SPLOC, see the Comparability section of SPRULE and this paper on IPUMSI family linking methodology. SPLOC is a 3-digit numeric variable. Codes0 = No spouse of this person present in the household. 1 or higher = The person number of this person's spouse IPUMS Rule for linking parent 00 No parent of person in household 11 Link to head or spouse, unambiguous 12 Link to head or spouse, ambiguous 21 Child-Grandchild, within empirical child cap 22 Child-Grandchild, within constructed child cap 23 Child-Grandchild, exceeds child cap 31 Specified Other Relatives, within empirical child cap 32 Specified Other Relatives, within constructed child cap 33 Specified Other Relatives, exceeds child cap 41 Other Relatives, within empirical child cap 42 Other Relatives, within constructed child cap 51 Non-Relatives, within empirical child cap 52 Non-Relatives, within constructed child cap PARRULE describes the criteria by which the IPUMS International variables MOMLOC and POPLOC linked the person to a probable mother and/or father. IPUMS International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. IPUMS Rule for linking spouse 00 No spouse present 01 Rule 1: strong relationship pairing, couple adjacent 02 Rule 2: strong relationship pairing, couple not adjacent 03 Rule 3: weak relationship pairing, couple adjacent 04 Rule 4: weak relationship pairing, couple not adjacent 05 Rule 5: weak consensual union pairings 06 Rule 6: sample-specific rules (usually child-to-child) SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse. IPUMS International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. IPUMS Probable stepmother Biological mother or no mother present 1 Mother has no children born or surviving 2 Child reports mother is deceased 3 Explicitly identified step relationship 4 Mother reports no children in the home 5 Age difference implausible 6 Child exceeds known fertility of mother STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household. The codes for STEPMOM are as follows: 0 = Biological mother or no mother of this person present in household. 1 = Mother has no children born or surviving. 2 = Child reports mother is deceased. 3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law). 4 = Mother reports no children in the home. 5 = Age difference between mother and child was less than 12 or greater than 54 years. 6 = Child exceeds known fertility of mother. In cases where more than one criterion for a likely stepmother is met, STEPMOM will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population. IPUMS Probable stepfather Biological father or no father present 1 Child reports father is deceased 2 Explicitly identified step relationship 3 Age difference implausible 4 Spouse of mother 5 Identified as adopted 6 Surname difference -- male child or never-married female STEPPOP indicates whether a person's father, as identified by POPLOC, was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household. The codes for STEPPOP are as follows: 0 = Biological father or no father of this person present in household. 1 = Child reports father is deceased. 2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law). 3 = Age difference between father and child was less than 12 or greater than 54 years. In cases where more than one criterion for a likely stepfather is met, STEPPOP will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population. IPUMS Man with more than one wife linked No more than one wife linked via SPLOC 1 More than one wife linked via SPLOC POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. IPUMS Woman is second or higher order wife Person is not the 2nd or higher order wife linked via SPLOC 1 Person is the 2nd or higher order wife linked via SPLOC POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated. The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. IPUMS Family unit membership FAMUNIT is a constructed variable indicating to which family within the household a person belongs. All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). FAMUNIT is a 4-digit numeric variable. CodesIf there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on. IPUMS Number of own family members in household 0001 1 family member present 0002 2 family members present 0003 3 family members present 0004 4 0005 5 0006 6 0007 7 0008 8 0009 9 0010 10 0011 11 0012 12 0013 13 0014 14 0015 15 0016 16 0017 17 0018 18 0019 19 0020 20 0021 21 0022 22 0023 23 0024 24 0025 25 0026 26 0027 27 0028 28 0029 29 0030 30 0031 31 0032 32 0033 33 0034 34 0035 35 0036 36 0037 37 0038 38 0039 39 0040 40 0041 41 0042 42 0043 43 0044 44 0045 45 0046 46 0047 47 0048 48 0049 49 0050 50 0051 51 0052 52 0053 53 0054 54 0055 55 0056 56 0057 57 0058 58 0059 59 0060 60 0061 61 0062 62 0063 63 0064 64 0065 65 0066 66 0067 67 0068 68 0069 69 0070 70 0071 71 0072 72 0073 73 0074 74 0075 75 0076 76 0077 77 0078 78 0079 79 0080 80 0081 81 0082 82 0083 83 0084 84 0085 85 0086 86 0087 87 0088 88 0089 89 0090 90 0091 91 0092 92 0093 93 0094 94 0095 95 0096 96 0097 97 0098 98 0099 99 or more persons FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them. FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membership). The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). IPUMS Number of own children in household 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more children in household NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. IPUMS Number of own children under age 5 in household 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more own children under age 5 in household 98 One or more children have unknown age NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. IPUMS Age of eldest own child in household 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. ELDCH is top-coded at age 50 or older. IPUMS Age of youngest own child in household 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. YNGCH is top-coded at age 50 or older. IPUMS Relationship to household head [general version] 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). IPUMS Relationship to household head [detailed version] 1000 Head 2000 Spouse/partner 2100 Spouse 2200 Unmarried partner 2210 Civil union 2300 Same-sex spouse/partner 3000 Child 3100 Biological child 3200 Adopted child 3300 Stepchild 3400 Child/child-in-law 3500 Child/child-in-law/grandchild 3600 Child of unmarried partner 4000 Other relative 4100 Grandchild 4110 Grandchild or great grandchild 4120 Great grandchild 4130 Great-great grandchild 4200 Parent/parent-in-law 4210 Parent 4211 Stepparent 4220 Parent-in-law 4300 Child-in-law 4301 Daughter-in-law 4302 Spouse/partner of child 4310 Unmarried partner of child 4400 Sibling/sibling-in-law 4410 Sibling 4420 Stepsibling 4430 Sibling-in-law 4431 Sibling of spouse/partner 4432 Spouse/partner of sibling 4500 Grandparent 4510 Great grandparent 4600 Parent/grandparent/ascendant 4700 Aunt/uncle 4800 Other specified relative 4810 Nephew/niece 4820 Cousin 4830 Sibling's sibling-in-law 4900 Other relative, not elsewhere classified 4910 Other relative with same family name 4920 Other relative with different family name 4930 Other relative, not specified (secondary family) 5000 Non-relative 5100 Friend/guest/visitor/partner 5110 Partner/friend 5111 Friend 5112 Partner/roommate 5113 Housemate/roommate 5120 Visitor 5130 Ex-spouse 5140 Godparent 5150 Godchild 5200 Employee 5210 Domestic employee 5220 Relative of employee, n.s. 5221 Spouse of servant 5222 Child of servant 5223 Other relative of servant 5300 Roomer/boarder/lodger/foster child 5310 Boarder 5311 Boarder or guest 5320 Lodger 5330 Foster child 5340 Tutored/foster child 5350 Tutored child 5400 Employee, boarder, or guest 5500 Other specified non-relative 5510 Agregado 5520 Temporary resident, guest 5600 Group quarters 5610 Group quarters, non-inmates 5620 Institutional inmates 5900 Non-relative, n.e.c. 6000 Other relative or non-relative 9999 Unknown RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). IPUMS Relationship to head, Europe 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 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. IPUMS Age 000 Less than 1 year 001 1 year 002 2 years 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100+ 999 Not reported/missing AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. IPUMS Age, grouped into intervals 01 0 to 4 02 5 to 9 03 10 to 14 04 15 to 19 05 0 to 5 06 6 to 10 07 10 to 15 08 11 to 14 09 15 to 17 10 16 to 19 11 18 to 24 12 20 to 24 13 25 to 29 14 30 to 34 15 35 to 39 16 40 to 44 17 45 to 49 18 50 to 54 19 55 to 59 20 60 to 64 21 65 to 69 22 70 to 74 23 75 to 79 24 80 to 84 25 85+ 98 Unknown AGE2 gives computed years of age grouped into intervals. IPUMS Sex 1 Male 2 Female 9 Unknown SEX reports the sex (gender) of the respondent. IPUMS Marital status [general version] NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. IPUMS Marital status [detailed version] 000 NIU (not in universe) 100 Single/never married 110 Engaged 111 Never married and never cohabited 200 Married or consensual union 210 Married, formally 211 Married, civil 212 Married, religious 213 Married, civil and religious 214 Married, civil or religious 215 Married, traditional/customary 216 Married, monogamous 217 Married, polygamous 219 Married, spouse absent (historical samples) 220 Consensual union 300 Separated/divorced/spouse absent 310 Separated or divorced 320 Separated or annulled 330 Separated 331 Separated legally 332 Separated de facto 333 Separated from marriage 334 Separated from consensual union 335 Separated from consensual union or marriage 340 Annulled 350 Divorced 400 Widowed 410 Widowed or divorced 411 Widowed from consensual union or marriage 412 Widowed from marriage 413 Widowed from consensual union 420 Widowed, divorced, or separated 999 Unknown/missing MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. IPUMS Marital status, Europe 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 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. IPUMS Age at first marriage or union 00 NIU (not in universe) 10 10 or younger 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 96 96 97 97 98 98 99 Unknown AGEMARR indicates the person's age at first marriage or consensual union. IPUMS Year of first marriage 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 9998 Unknown 9999 NIU (not in universe) MARRYR reports the year of first marriage. IPUMS 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 BIRTHYR gives the person's year of birth. IPUMS Month of birth 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 98 Unknown 99 NIU (not in universe) BIRTHMO indicates the person's month of birth. IPUMS Children ever born 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) CHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living. IPUMS Nativity status NIU (not in universe) 1 Native-born 2 Foreign-born 9 Unknown/missing NATIVITY indicates whether the person was native-born or foreign-born. IPUMS Country of birth 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11005 British Indian Ocean Territory 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11051 Ethiopia (including Eritrea) 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 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 15021 Upper Volta 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15081 Guinea-Bissau and Cape Verde 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15180 Canary Islands 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 21200 St. Croix 21210 St. John 21220 St. Lucia 21230 St Thomas 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21991 Caribbean commonwealth, n.s. 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 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 32042 India/Pakistan/Bangladesh/Sri Lanka 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32101 Pakistan/Bangladesh 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 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 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 34071 Israel/Palestine 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34111 West Bank 34112 Gaza Strip 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 41991 Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia 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 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 43121 Spain/Portugal 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43144 Serbia and Montenegro 43991 Gibraltar/Malta 43992 Portugal/Greece 43993 Italy, Holy See, San Marino 43999 Southern Europe, other or n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxemburg 44022 Belgium/Netherlands/Luxemburg 44030 France 44040 Germany 44042 West Germany 44043 Germany/Austria 44044 Mecklenburg-Schwerin 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44991 Belgium, Denmark, Luxembourg, Netherlands 44999 Western Europe, other or n.s. 49992 European Union 49993 European Union (original 15) 49994 Other European Union (not original 15) 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 53060 Federated States of Micronesia 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. 80000 AT SEA 90000 Other countries n.s. 99999 Unknown BPLCOUNTRY indicates the person's country of birth. IPUMS Citizenship 1 Citizen, not specified 2 Citizen by birth 3 Naturalized citizen 4 Not a citizen 5 Without citizenship, stateless 8 Unknown 9 NIU (not in universe) CITIZEN indicates the person's citizenship status within the country in which they were enumerated. IPUMS County of birth, Romania 01 Alba 02 Arad 03 Arges 04 Bacau 05 Bihor 06 Bistrita Nasaud 07 Botosani 08 Brasov 09 Braila 10 Buzau 11 Caras Severin 12 Cluj 13 Constanta 14 Covasna 15 Dimbovita 16 Dolj 17 Galati 18 Gorj 19 Harghita 20 Hunedoara 21 Ialomita 22 Iasi 23 Ilfov 24 Maramures 25 Mehedinti 26 Mures 27 Neamt 28 Olt 29 Prahova 30 Satu Mare 31 Salaj 32 Sibiu 33 Suceava 34 Teleorman 35 Timis 36 Tulcea 37 Vaslui 38 Valcea 39 Vrancea 40 Bucharest municipality 41 Bucharest 42 Bucharest: Sector 1 43 Bucharest: Sector 2 44 Bucharest: Sector 3 45 Bucharest: Sector 4 46 Bucharest: Sector 5 47 Bucharest: Sector 6 51 Calarasi 52 Giurgiu 97 Foreign country 99 Unknown BPLRO indicates the county in Romania in which the person was born. IPUMS Region of birth, Europe, NUTS1 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 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. IPUMS Region of birth, Europe, NUTS2 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 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. IPUMS Region of birth, Europe, NUTS3 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 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. IPUMS Religion [general version] NIU (not in universe) 1 No religion 2 Buddhist 3 Hindu 4 Jewish 5 Muslim 6 Christian 7 Other 9 Unknown RELIGION indicates the person's religion, including "none." IPUMS Religion [detailed version] 0000 NIU (not in universe) 1000 No religion 1001 Atheist 1002 Agnostic 1003 Without religion 2000 Buddhist 3000 Hindu 4000 Jewish 5000 Muslim 5005 Ahmadis 5006 Sunni 6000 Christian 6001 Catholic (Roman or unspecified) 6002 Orthodox 6003 Protestant 6004 Evangelical protestant 6005 Pentecostal 6006 Adventist / Seventh-day adventist 6007 Anglican 6008 Assembly of God 6009 Baptist 6010 Church of the Nazarene 6011 Congregational 6012 Dutch Reformed 6013 Episcopalian 6014 Jehovah's Witnesses 6015 Latter Day Saints (Mormon) 6016 Lutheran 6017 Mennonite 6018 Methodist 6019 New Apostolic 6020 Presbyterian 6021 Zion Christian 6022 Moravian 6090 Other Christian, historical 6100 Other Christian, Armenia 6101 Armenia apostolic 6102 Nestorian 6103 Molokai 6104 Other Christian, Austria 6105 Old Catholic 6106 Protestant, Augsburg confession 6107 Protestant, Westminster confession 6108 Protestant, Helvetic confession 6109 Greek Oriental 6110 Armenian Apostolic 6111 Other Protestant 6112 Christian Community for renewal 6113 Christian Community, not specified 6114 Other Christian, Benin 6115 Other Christian 6116 Celestial 6117 Other Christian, Brazil 6118 Christian Congregation of Brazil 6119 Brazilian Catholic Apostolic 6120 Brazil for Christ 6121 Foursquare Gospel 6122 Universal of the Kingdom of God 6123 House of the Blessing 6124 House of Prayer 6125 God is Love 6126 Maranata 6127 Other Christian, Brazil 1991 6128 Undetermined Protestant 6129 Other traditional Protestant 6130 Neo-Christian 6131 Other Neo-Christian 6132 Undetermined Christian 6133 Other Christian, Brazil 2000 6134 Other Catholic 6135 Renewed Evangelical Protestant without institutional ties 6136 Pentecostal Evangelical without institutional ties 6137 New Life Evangelical Protestant Pentecostal 6138 Evangelical Protestant Biblical Revival Pentecostal 6139 Chain Of Prayer Pentecostal 6140 Undetermined Evangelical Protestant 6141 Religion Of God 6142 Christian without institutional ties 6143 Other Christian, Brazil 2010 6144 Salvation Army 6145 Other Christian, Canada 6146 Other Catholic 6147 United Church 6148 Protestant, not specified 6149 Other Protestant 6150 Other Christian, Cameroon 6151 Other Christian, Fiji 6152 Christian undefined 6153 Church of England 6154 Gospel Hall and Brethern 6155 Christian Mission Fellowship (CMF) or Every Home 6156 Salvation Army 6157 All Nations Christian Fellowship 6158 Apostles Gospel Outreach Fellowship 6159 Christian Outreach Centre 6160 Other Christian 6161 Other Christian, Germany 6162 Oriental Christian 6163 Other Christian, Ghana 6164 Other Christian, Iran 6165 Assyrian or Chaldean 6166 Armenian 6167 Other Christians 6168 Other Christian, Indonesia 6169 Other Christian 6170 Protestant/Other Christian 6171 Other Christian, Ireland 6172 Church of Ireland 6173 Church of Scotland 6174 Independent 6175 Unitarian 6176 Salvation Army 6177 Free Church 6178 Brethren 6179 Christian Brethren 6180 Plymouth Brethren 6181 Quaker 6182 Other Christians 6183 Other Christian, Ivory Coast 6184 Other Christian, Jamaica 6185 Brethren 6186 Church of God 6187 Church of God of Prophecy 6188 Other Church of God 6189 United Church 6190 Salvation Army 6191 New Testament 6192 Disciples of Christ 6193 Other Christian, Mauritius 6194 Christian Tamil 6195 Salvation and Healing Mission 6196 Voice of Deliverance 6197 Other Christian 6198 Other Christian, Mexico 6199 Anabaptist 6200 Calvinist 6201 Cuaquera 6202 Disciples of Christ 6203 Christian Friendship Church 6204 Prayer House Church 6205 Faith Center 6206 Agape Force Church 6207 Alpha and Omega Church 6208 Living Water Church 6209 Apostolic Church 6210 Church of God 6211 Church of God of Prophecy 6212 Complete Gospel Church 6213 Evangelical Siblings Church 6214 Upper Room Church 6215 Pentecostal Indigenous Church 6216 Angular Stone Voice Church 6217 Pentecostal Missionary 6218 Christian 6219 Christian Societies 6220 Evangelical 6221 Evangelical Societies 6222 New Testament Evangelical 6223 Pentecostal 6224 Pentecostal Societies 6225 Independent Pentecostal 6226 Evangelical Christian Societies 6227 Pentecostal Christian Societies 6228 Evangelical Pentecostal Societies 6229 Evangelical Pentecostal Christian Societies 6230 Soldiers of Christ's Cross Church 6231 Tabernacle 6232 Traditionalists 6233 Other Evangelical Pentecostal Societies 6234 Pentecostal not clearly specified 6235 Living God, Light of the World 6236 Christian and Missionary Alliance 6237 Non-Pentecostal Apostolic 6238 Evangelical Associations 6239 Biblical 6240 Confraternities 6241 Christ Church 6242 Peace Grace and Misericordia Church 6243 Open Bible Church 6244 Holiness Church 6245 Evangelical Salem Church 6246 Beautiful Woman Dressed in the Sun 6247 Messianic Church 6248 Evangelical Ministers 6249 Evangelical Missionaries 6250 Evangelical Movements 6251 New Jerusalem 6252 World Vision Church 6253 Evangelical not clearly specified 6254 Biblical - non-evangelicals 6255 Other Christians not clearly specified 6256 Assumptionist 6257 Carmelite 6258 Claretian 6259 Conception Franciscan 6260 Maronite Diocese of Mexico 6261 Dominican 6262 Servants of Mary Immaculate 6263 Franciscan 6264 Guadalupan 6265 Daughters of the Immaculate Conception 6266 Jesuit 6267 Legionaries of Christ 6268 Divine Word Missionary 6269 Pauline 6270 Sacred Heart 6271 Saint Joseph of Tarbes 6272 Servant of the Lord and the Virgin 6273 Servant of Jesus 6274 Greek Catholic Church 6275 Reformed Roman Catholic Church 6276 Mexican National Catholic Church 6277 Tridentine Latin Rite Catholic Church 6278 Priestly Society Trento 6279 Mexican Catholic Union of Trento 6280 Anabaptist / Memnonite 6281 Anglican / Episcopal 6282 House of Prayer 6283 Center of Faith, Hope and Love of the Missionary Revival Crusade 6284 Center of Faith, Hope and Love Agape Force 6285 Salvation Army 6286 Independent Pentecostal Fellowship 6287 Upper Chamber Church 6288 Faith Apostolic Church of Jesus Christ 6289 Spiritual Christian Church 6290 Pentecostal Evangelical Christian Church 6291 Interdenominational Christian Church 6292 Church of God Full Gospel in Mexico 6293 Church of Jesus Christ on the Rock 6294 Christ Evangelical Pentecostal Church Rock of my Salvation 6295 Mexican Church of Christ's Gospel Pentecost 6296 United Pentecostal Church of Mexico 6297 Universal Church of the Kingdom of God 6298 Only Christ Savior Christian Church 6299 Independent Evangelical Pentecostal Movement 6300 Prince of Peace 6301 National Union of Evangelical Christian Churches (UNICE) 6302 Union of Independent Evangelical Churches 6303 Other associations Pentecostal 6304 Church of the Living God, Pillar and Support of Truth, the Light of the World 6305 Bible Church 6306 Interdenominational Christian Church in Mexico 6307 Church of Christ 6308 Honey Church of Christ 6309 Independent Evangelical Church in Mexico 6310 Renewed Church of Jesus Christ and the Apostles of Divine Love 6311 Other Christian and Evangelical associations without Pentecostal support 6312 Faith Christian Church 6313 Traditional Apostolic Catholic Holy Church Mexico-USA 6314 Mexican Apostolic Catholic Church 6315 Elias 6316 Spiritualistic 6317 Spiritualist 6318 Marian Trinitarian Spirituality 6319 Spirituality of the Third Age 6320 Christian Spiritual 6321 Judiciary Society Reign of Leonardo Alcalá Leos 6322 Spirituality for the Divine Master and the purity of Mary 6323 Light and Hope 6324 Holy Spirit, Purity, Love and Light 6325 Christian Science 6326 Neo-Israelite Jewish Syncretic Movements 6327 Other Christian, Netherlands 6328 Reformed Churches in The Netherlands 6329 Other Reformed 6330 Other Christian, Papua New Guinea 6331 Asian Pacific Christian Mission 6332 Asutalian Church 6333 Bamu River Mission 6334 Christian Brethren Church of PNG 6335 Christian Mission of Many Lands 6336 Christian Revival Crusade 6337 Christain Union Mission 6338 Church of Christ of PNG 6339 Faith mission 6340 Four Square Gospel Mission 6341 Kwato Church 6342 Life Center 6343 Lighthouse church 6344 New Guinea Gospel Mission 6345 New Life Mission 6346 New tribes Mission 6347 Paliau Christian Native Church 6348 Rhema Fellowship 6349 Salvation Army 6350 Sovereign Grace 6351 United Church 6352 Wewak Fellowship 6353 Western Highland 6354 Independent 6355 Plymouth Brethern 6356 Tiliba Mission 6357 Tokarara Christian Fellowship 6358 Village Mission 6359 Other Christian 6360 Other Christian, Paraguay 6361 Christian Community 6362 Free Brothers 6363 Church of God 6364 Church of God of Prophecy 6365 New testament 6366 God is love 6367 Universal Church of the Kingdom of God 6368 People of God 6369 Family worship center 6370 Pseudo-Christian groups 6371 Other Christian, Philippines 6372 Aglipay 6373 Bible Christian Committees 6374 Born-again Christian 6375 Bread of Life Ministries 6376 Cathedral of Praise, Incorporated 6377 Charismatic Full Gospel Ministries 6378 Christ the Living Stone Fellowship 6379 Christian and Missionary Alliance 6380 Christians Missions 6381 Christian Reformed Church in the Philippines, Incorporated 6382 Church of Christ 6383 Crusaders of the Divine Church of Christ, Incorporated 6384 Evangelical Christian Outreach Foundation 6385 Evangelical Free Church 6386 Filipino Assemblies of the First Born Inc. 6387 Foursquare Gospel 6388 Free Believers in Christ Fellowship 6389 Free Mission in the Philippines Inc. 6390 God World Mission 6391 Good News Christian Churches 6392 IEMELIF Reform Movement 6393 Iglesia Evangelista Methodista en Las 6394 Iglesia Evangelica Unida de Cristo 6395 Iglesia ni Cristo 6396 Iglesia sa Dios Espiritu Santo, Incorporated 6397 Jesus Christ Saves Global Outreach 6398 Jesus is Alive Community, Incorporated 6399 Jesus is Lord Church 6400 Jesus Reigns Ministries 6401 Love of Christ International Ministries 6402 Other Evangelical 6403 Other Evangelical Church 6404 Other Protestants 6405 Philippine Ecumenical Christian Church 6406 Philippine Evangelical Mission 6407 Philippine Grace Gospel Fellowship 6408 Philippines Benevolent Missionaries 6409 Philippines General Council of the Assemblies of God 6410 Potter's House Christian Center 6411 Salvation Army Philippines 6412 Take the Nation for Jesus Global Ministries (Corpus Christi) 6413 UNIDA Evangelical Church 6414 Union Espiritista Cristiana de Filipinas, Incorporated 6415 United Church of Christ in the Philippines 6416 United Evangelical Church of the Philippines (Chinese) 6417 Victory Chapel Christian Fellowship 6418 Wesleyan Church 6419 World Missionary Evangelism 6420 Worldwide Church of God 6421 Zion Christian Community Church 6422 Other Christian, Portugal 6423 Other Christian, Romania 6424 Greek Catholic 6425 Reformed Church 6426 Evangelic of Augustan Confession 6427 Evangelic Synodo-Presbyterian 6428 Christian of Old Rite 6429 Christian by Gospel 6430 Evangelic 6431 Other Christian, Rwanda 2002 6432 Other Christian, Sierra Leone 6433 Other Christian, Slovak Republic 6434 Old Catholic 6435 Greek Catholic 6436 Christian Reformed 6437 Other Christian, South Africa 6438 Reformed 6439 International Fellowship of Christian Churches 6440 Apostolic Faith Mission of SA 6441 Other Apostolic Churches 6442 Pinkster Protestant Church 6443 Afrikaanse Protestant Church 6444 Full Gospel Church of God in Southern Africa 6445 Pentecostal Churches 6446 Salvation Army 6447 Bandla Lama Nazaretha 6448 African Methodist Episcopal Church 6449 St John's Apostolic Church 6450 International Pentecost Church 6451 Ethiopian type churches 6452 Ethnic churches 6453 Other African Independent Churches 6454 Other Christian Churches 6455 Other Catholic Churches 6456 Other Pentecostal Churches 6457 Other Orthodox Churches 6458 Other African Apostolic churches 6459 Other Assemblies 6460 Christian Scientist 6461 Christian Centres 6462 Other Evangelical Churches 6463 Other Charismatic Churches 6464 Just a Christian or non-denominational 6465 Other 6466 Other Christian, Suriname 6467 Other Christian 6468 Other Christian, Saint Lucia 6469 Church of God 6470 Other Christian, Senegal 6471 Other Christian 6472 Other Christian, Switzerland 6473 Other protestant churches and communities 6474 Christ-Catholic church 6475 Other Christian communities 6476 Other Christian, Trinidad and Tobago 6477 Church of God 6478 African Methodist Espiscopalians 6479 Brethren, Christian or Plymouth 6480 Church of Christ 6481 Gospel Hall or Gospel Missionary 6482 Nazarenes 6483 Pilgrim Holiness 6484 Ethiopian Orthodox 6485 Open Bible Church 6486 Assemblies of Yahweh 6487 Evangelical Church of West Indies 6488 Christadelphian 6489 Full Gospel Fellowship 6490 Dutch Reform 6491 Christian Brotherhood Assembly 6492 Other Christian, Uganda 6493 Other Christian 6494 Salvation Army 6495 Other Christian non-Catholic, Uruguay 6496 Other Christian non-Catholic, Guatemala 6497 Other Christian, Togo 7000 Other 7001 Bahai 7002 Sikh 7003 Rastafarian 7100 Other, Armenia 7101 Pagan 7102 Shar-fadinian 7103 Other, Austria 7104 Unification Church, Austria 7105 Other, Benin 7106 Traditional 7107 Vodoun 7108 Other, Botswana 7109 Badimo 7110 Other, Brazil 7111 Spiritist 7112 Kardecist Spiritist 7113 Afro Spiritist 7114 Mediumistic Spiritist 7115 Umbandist Mediumistic 7116 Candomblecist Mediumistic 7117 Other Afro-Brazilian 7118 Oriental, Brazil 7119 New Oriental 7120 Oriental Seicho No-le 7121 Other Oriental, Brazil 7122 Esoteric, Brazil 7123 Indigenous, Brazil 7124 Other minority groups, Brazil 7125 Other, Burkina Faso 7126 Animist 7127 Other, Cameroon 7128 Animist 7129 Other, Canada 7130 Eastern religions, Canada 7131 Other, Chile 7132 Theosophism 7133 Shintoism 7134 Other, Ethiopia 7135 Traditional 7136 Other, Ethiopia 7137 Other, Fiji 7138 Confucian 7139 Kabir Panthi 7140 Satya Sai Baba 7141 Bahai 7142 Other non-Christian, Fiji 7143 Other, Germany 7144 Other, Germany 7145 Other, Ghana 7146 Traditional, Ghana 7147 Other, Guinea 7148 Animist 7149 Other, Guinea 7150 Other, Haiti 7151 Voodoo 7152 Other, India 7153 Jainism 7154 Zoroastrianism 7155 Other, India 7156 Other, Indonesia 7157 Confucianism 7158 Other, Indonesia 7159 Other, Iran 7160 Zoroastrian 7161 Other, Iran 7162 Other, Ivory Coast 7163 Animist 7164 Harrist 7165 Other, Jamaica 7166 Muslim/Hindu 7167 Other, Israel 7168 Druse 7169 Other, Israel 7170 Other, Laos 7171 Animist 7172 Other, Liberia 7173 Traditional 7174 Other, Malaysia 7175 Confucianism/Taoism 7176 Tribal/Folk religion, Malaysia 7177 Other, Mali 7178 Animist 7179 Other, Mexico 7180 Brahmanism 7181 Hare Krishna 7182 Shintoism 7183 Taoism 7184 Mexican Movements 7185 Ananda Marga 7186 Church of Scientology 7187 Masons 7188 Raelian Movement 7189 New Age Movement 7190 Neoisraelites 7191 Occultists 7192 Palmar of Troya 7193 Rose Cross 7194 Theosophism 7195 Spiritualist Special Keys 7196 Onkaranada Center 7197 Confucianism 7198 Shia 7199 Universal Great Brotherhood 7200 Esoteric Science 7201 Gnosticism 7202 Metaphysics 7203 Wicca 7204 Shamanism 7205 The Custom 7206 Mexicayotl 7207 Restorative Confederate Movement of Anahuac Culture 7208 African Origin 7209 Indigenous Religions 7210 Growing in Grace 7211 Eckankar 7212 Transcendental Meditation 7213 Mission Branch 7214 Children of God 7215 Sri Sathya Sai Baba 7216 Other religions from Asia 7217 Ethnic roots 7218 Afro roots 7219 Popular cults 7220 Other new religious movements 7221 Other, Nepal 7222 Kirat 7223 Jain 7224 Garaute 7225 Tap jura 7226 Bon 7227 Prakriti 7228 Other, Nigeria 7229 Traditional 7230 Other, Pakistan 7231 Ahmadi 7232 Parsi 7233 Scheduled caste 7234 Other, Paraguay 7235 Philosophical revelations 7236 Indigenous religion 7237 Reyukai 7238 Other, Paraguay 7239 Other, Philippines 7240 Door of Faith 7241 Faith Tabernacle Church (Living Rock Ministries) 7242 Iglesia Filipina Independiente 7243 International One Way Outreach 7244 Miracle Life Fellowship International 7245 Miracle Revival Church of the Philippines 7246 Philippine Good News Ministries 7247 Philippine Missionary fellowship 7248 Things to Come 7249 Way of Salvation 7250 Word of the World 7251 Word International Ministries 7252 Tribal Religions, Philippines 7253 Other, Romania 7254 Unitarian 7255 Armenian 7256 Mosaic 7257 Other, Romania 7258 Other, Rwanda 7259 Traditional religion, Rwanda 7260 Other, Rwanda 7261 Other, Sierra Leone 7262 Traditional religion, Sierra Leone 7263 Other, South Africa 7264 African traditional belief 7265 Taoist 7266 Confucian 7267 New Age 7268 Winti 7269 Javanism 7270 Other non-Christian, S. Africa 7271 Other, Suriname 7272 Javanism 7273 Traditional 7274 Winti 7275 Other, Thailand 7276 Confucian 7277 Other, Trinidad and Tobago 7278 Pocamania or Shango 7279 Orisha 7280 Other, Uganda 7281 Traditional religion 7282 Mammon 7283 Other non-Christian, Uganda 7284 Other, United Kindom 7285 Other, Uruguay 7286 Umbanda/other Afro-American 7287 Other, Uruguay 7288 Other, Vietnam 7289 Cao Dai 7290 Cham Brahmin 7296 Other, Togo 7297 Animist 7900 Other, not elsewhere classified 9999 Unknown RELIGION indicates the person's religion, including "none." IPUMS Ethnicity, Romania 10 Romanian 11 Hungarian 12 Gypsy 13 German 14 Ukrainian 15 Serbian 16 Turk 17 Tartar 18 Slovakian 19 Jewish 20 Russian 21 Lipovan 22 Bulgarian 23 Czech 24 Croat 25 Greek 26 Pole 27 Armenian 29 Saxon 30 Swabian 31 Macedoromanian 32 Aromanian 33 Szekler 35 Carasoveni 36 Italian 37 Chinese 38 Albanian 40 Macedonian 41 Csango 42 Rudari 43 Moldovan 44 Slovenian 45 Ruthenian 50 Other ethnic group from European Union 60 Other ethnic group from Europe 70 Other ethnic group from other continents 80 Other, not specified 98 Response suppressed 99 Unknown ETHNICRO indicates the nationality or ethnic group of the respondent. IPUMS Mother tongue, Romania 10 Romanian 11 Hungarian 12 Gypsy 13 German 14 Ukrainian 15 Serbian 16 Turkish 17 Tartar 18 Slovakian 19 Yiddish 20 Russian 21 Lipovenian 22 Bulgarian 23 Czech 24 Croatian 25 Greek 26 Polish 27 Armenian 29 Saxonian 30 Swabian 31 Macedoromanian 32 Aromanian 36 Italian 37 Chinese 40 Macedonian 41 Ruthenian 42 Slovenian 50 Other mother tongues 51 From European Union 52 From Europe 53 From other continents 99 Unknown MTONGRO indicates the respondent's mother tongue, the first language spoken in early childhood. IPUMS School attendance NIU (not in universe) 1 Yes 2 No, not specified 3 No, attended in the past 4 No, never attended 9 Unknown/missing SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census. IPUMS Literacy NIU (not in universe) 1 No, illiterate 2 Yes, literate 9 Unknown/missing LIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both. IPUMS Educational attainment, international recode [general version] NIU (not in universe) 1 Less than primary completed 2 Primary completed 3 Secondary completed 4 University completed 9 Unknown EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. IPUMS Educational attainment, international recode [detailed version] 000 NIU (not in universe) 100 Less than primary completed (n.s.) 110 No schooling 120 Some primary completed 130 Primary (4 yrs) completed 211 Primary (5 yrs) completed 212 Primary (6 yrs) completed 221 Lower secondary general completed 222 Lower secondary technical completed 311 Secondary, general track completed 312 Some college completed 320 Secondary or post-secondary technical completed 321 Secondary, technical track completed 322 Post-secondary technical education 400 University completed 999 Unknown/missing EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. IPUMS Educational attainment, Romania 000 NIU (not in universe) 100 None 110 Literacy courses 200 Primary 210 Special education (2002) 300 Secondary education 310 Lower secondary 311 Special education 320 Upper secondary 321 Academic secondary education 322 Vocational secondary education 330 Technical apprenticeship secondary 400 Post-secondary 410 Post-secondary technical 420 Short-term education (associate degrees) 430 University/college 999 Unknown EDUCRO indicates the person's educational attainment in Romania in terms of the level of schooling completed. IPUMS Educational attainment, Europe 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 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. IPUMS Activity status (employment status) [general version] NIU (not in universe) 1 Employed 2 Unemployed 3 Inactive 9 Unknown/missing EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". IPUMS Activity status (employment status) [detailed version] 000 NIU (not in universe) 100 Employed, not specified 110 At work 111 At work, and 'student' 112 At work, and 'housework' 113 At work, and 'seeking work' 114 At work, and 'retired' 115 At work, and 'no work' 116 At work, and other situation 117 At work, family holding, not specified 118 At work, family holding, not agricultural 119 At work, family holding, agricultural 120 Have job, not at work in reference period 130 Armed forces 131 Armed forces, at work 132 Armed forces, not at work in reference period 133 Military trainee 140 Marginally employed 200 Unemployed, not specified 201 Unemployed 6 or more months 202 Worked fewer than 6 months, permanent job 203 Worked fewer than 6 months, temporary job 210 Unemployed, experienced worker 220 Unemployed, new worker 230 No work available 240 Inactive unemployed 300 Inactive (not in labor force) 310 Housework 320 Unable to work, disabled or health reasons 321 Permanent disability 322 Temporary illness 323 Disabled or imprisoned 330 In school 340 Retirees and living on rent 341 Living on rents 342 Living on rents or pension 343 Retirees/pensioners 344 Retired 345 Pensioner 346 Non-retirement pension 347 Disability pension 348 Retired without benefits 350 Elderly 351 Elderly or disabled 360 Institutionalized 361 Prisoner 370 Intermittent worker 371 Not working, seasonal worker 372 Not working, occasional worker 380 Other income recipient 390 Inactive, other reasons 391 Too young to work 392 Dependent 999 Unknown/missing EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". IPUMS Activity status (employment status), Europe 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 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. IPUMS Labor force participation 1 No, not in the labor force 2 Yes, in the labor force 8 Unknown 9 NIU (not in universe) LABFORCE is a dichotomous variable identifying whether a person participated in the labor force. Labor force participation generally means working or seeking work within a specified reference period. For most samples LABFORCE is a recode of EMPSTAT (employment status). A consistent lower age universe of 15 or older has been applied to increase comparability across samples. Full detail is retained in EMPSTAT, which should be used for any study of child labor. IPUMS Occupation, ISCO general 01 Legislators, senior officials and managers 02 Professionals 03 Technicians and associate professionals 04 Clerks 05 Service workers and shop and market sales 06 Skilled agricultural and fishery workers 07 Crafts and related trades workers 08 Plant and machine operators and assemblers 09 Elementary occupations 10 Armed forces 11 Other occupations, unspecified or n.e.c. 97 Response suppressed 98 Unknown 99 NIU (not in universe) OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money. IPUMS Occupation, unrecoded OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census. To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses. OCC is a 4-digit numeric variable. Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. CodesArgentina 1970 - Spanish Argentina 1980 - Spanish Argentina 1991 - Spanish Argentina 2001 - Spanish Armenia 2011 Austria 1971-2001 - German Belarus 1999 - Russian Belarus 2009 Benin 1979 Benin 1992 Benin 2002 Benin 2013 Bolivia 1976 Bolivia 1992 Bolivia 2001 Bolivia 2012 Botswana 1981 Botswana 1991 Botswana 2001 Botswana 2011 Brazil 1960 - Portuguese Brazil 1970 - Portuguese Brazil 1980 - Portuguese Brazil 1991 - Portuguese Brazil 2000 - Portuguese Brazil 2010 Burkina Faso 1985 Burkina Faso 1996 Cambodia 1998 Cambodia 2004 Cambodia 2008 Cambodia 2013 Cambodia 2019 Cameroon 1976 Cameroon 2005 Canada 1971 Canada 1981-1991 Canada 2001 Canada 2011 Chile 1960 Chile 1970 Chile 1982 Chile 1992 Chile 2002 China 1982 China 1990 China 2000 Colombia 1964 Colombia 1973 - Spanish Costa Rica 1973 Costa Rica 1984 Costa Rica 2000 Costa Rica 2011 Cote d'Ivoire 1988 Cote d'Ivoire 1998 Cuba 2002 Cuba 2012 Denmark 1845 Denmark 1880 Denmark 1885 Dominican Republic 1960 Dominican Republic 1970 Dominican Republic 1981 Dominican Republic 2002 Dominican Republic 2010 Ecuador 1962 Ecuador 1974 Ecuador 1982 Ecuador 1990 Ecuador 2001 Ecuador 2010 Egypt 1986 Egypt 2006 El Salvador 1992 El Salvador 2007 Ethiopia 1984 Ethiopia 1994 Fiji 1976 Fiji 1986 Fiji 1996 Fiji 2007 Fiji 2014 Finland 2010 France 1962-1990 - French France 1999 France 2006 France 2011 Germany 1970 Germany 1981 Germany 1987 Ghana 1984 Ghana 2000 Ghana 2010 Greece 1971-1991 - Greek Greece 2001 - Greek Greece 2011 Guatemala 1964 Guatemala 1973 Guatemala 1981 Guatemala 1994 Guatemala 2002 Guinea 1983 Guinea 1996 Guinea 2014 Haiti 1982 Haiti 2003 Honduras 1961 Honduras 1974 Honduras 1988 Honduras 2001 Hungary 1970-1990 Hungary 2001 Hungary 2011 India 1983-2004 India 2009 Indonesia 1971 Indonesia 1976 Indonesia 1980 Indonesia 1985 Indonesia 1990 Indonesia 1995 Indonesia 2005 Iran 2006 Iran 2011 Iraq 1997 Ireland 1901 Ireland 1911 Ireland 1971 Ireland 1981 Ireland 1986 Ireland 1991 Ireland 1996 Ireland 2002 Ireland 2006 Ireland 2011 Ireland 2016 Israel 1972 Israel 1983 Israel 1995 Israel 2008 Italy 2001 Italy 2011 Italy Surveys 2011-2020 Jamaica 1982 Jamaica 1991 Jamaica 2001 Jordan 2004 Kenya 1989 Kyrgyz Republic 1999 Laos 1995 Lesotho 1996 Lesotho 2006 Liberia 1974 Liberia 2008 Malawi 1987 Malawi 1998 Malawi 2008 Malaysia 1970 Malaysia 1980-1991 Malaysia 2000 Mali 1987 Mali 1998 Mali 2009 Mauritius 1990 Mauritius 2000 Mauritius 2011 Mexico 1960 - Spanish Mexico 1970 - Spanish Mexico 1990 - Spanish Mexico 1995 - Spanish Mexico 2000 - Spanish Mexico 2010 Mexico 2015 Mexico 2020 Mexico Surveys 2005-2020 Mongolia 2000 Morocco 1982 Morocco 1994 Morocco 2004 Morocco 2014 Mozambique 1997 Mozambique 2007 Myanmar 2014 Nepal 2001 Nepal 2011 Netherlands 1960 Netherlands 1971 Netherlands 2001 Netherlands 2011 Nicaragua 1971 Nicaragua 1995 Nicaragua 2005 Nigeria 2008 Nigeria 2009 Nigeria 2010 Pakistan 1973 Palestine 1997 Palestine 2007 Palestine 2017 Panama 1960 - Spanish Panama 1970 - Spanish Panama 1980 - Spanish Panama 1990 - Spanish Panama 2000 - Spanish Panama 2010 Papua New Guinea 1980 Papua New Guinea 1990 Papua New Guinea 2000 Paraguay 1962 Paraguay 1972 Paraguay 1982 Paraguay 1992 Paraguay 2002 Peru 1993 Peru 2007 Peru 2017 Philippines 1990 Philippines 2000 Philippines 2010 Poland 1978 Poland 1988 Poland 2002 Portugal 1981 - Portuguese Portugal 1991 - Portuguese Portugal 2001 - Portuguese Portugal 2011 Puerto Rico 1970 Puerto Rico 1980 Puerto Rico 1990 Puerto Rico 2000-2005 Puerto Rico 2010 Puerto Rico 2015 Puerto Rico 2020 Romania 1977 Romania 1992 Romania 2002 Romania 2011 Rwanda 2002 - French Rwanda 2012 Saint Lucia 1991 Senegal 1988 Senegal 2002 Senegal 2013 Slovak Republic 1991 Slovak Republic 2001 Slovak Republic 2011 Sierra Leone 2004 Sierra Leone 2015 Slovenia 2002 South Africa 1996 South Africa 2001 South Africa 2007 South Sudan 2008 Spain 1981 - Spanish Spain 1991 - Spanish Spain 2001 - Spanish Spain 2011 Spain Surveys 2005-2020 Sudan 2008 Suriname 2004 Suriname 2012 Switzerland 1970 Switzerland 1980 Switzerland 1990 Switzerland 2000 Switzerland 2011 Tanzania 1988 Tanzania 2002 Tanzania 2012 Thailand 1970 Thailand 1980 Thailand 1990 Thailand 2000 Togo 1960 Togo 1970 Togo 2010 Trinidad and Tobago 1990 Trinidad and Tobago 2000 Trinidad and Tobago 2011 Turkey 1985 Turkey 1990 Turkey 2000 Uganda 1991 Uganda 2002 Uganda 2014 United Kingdom 1961 United Kingdom 1971 United Kingdom 1991 United Kingdom 2001 United States 1960 United States 1970 United States 1980 United States 1990 United States 2000-2005 United States 2010 United States 2015 United States 2020 Uruguay 1963 Uruguay 1975 Uruguay 1996 Uruguay 2006 Venezuela 1981 Venezuela 1990 Venezuela 2001 - Spanish Vietnam 1989 Vietnam 1999 Vietnam 2009 Vietnam 2019 Zambia 1990 Zambia 2000 Zambia 2010 Zimbabwe 2012 IPUMS Industry, general recode 000 NIU (not in universe) 010 Agriculture, fishing, and forestry 020 Mining and extraction 030 Manufacturing 040 Electricity, gas, water and waste management 050 Construction 060 Wholesale and retail trade 070 Hotels and restaurants 080 Transportation, storage, and communications 090 Financial services and insurance 100 Public administration and defense 110 Services, not specified 111 Business services and real estate 112 Education 113 Health and social work 114 Other services 120 Private household services 130 Other industry, n.e.c. 998 Response suppressed 999 Unknown INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples. "Industry" refers to the activity or product of the establishment or sector in which a person worked. IPUMS Industry, unrecoded "Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International. IND is a 5-digit numeric variable. Some samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. CodesArgentina 1970 - Spanish Argentina 1980 - Spanish Argentina 1991 - Spanish Argentina 2001 - Spanish Armenia 2001 Armenia 2011 Austria 1971-2001 - German Austria 2011 Bangladesh 1991 Bangladesh 2001 Bangladesh 2011 Belarus 2009 Benin 1979 Benin 1992 Benin 2002 Benin 2013 Bolivia 1976 Bolivia 1992 Bolivia 2001 Bolivia 2012 Botswana 1981 Botswana 1991 Botswana 2001 Botswana 2011 Brazil 1960 - Portuguese Brazil 1970 - Portuguese Brazil 1980 - Portuguese Brazil 1991 - Portuguese Brazil 2000 - Portuguese Brazil 2010 Burkina Faso 1996 Cambodia 1998 Cambodia 2004 Cambodia 2008 Cambodia 2013 Cambodia 2019 Cameroon 2005 Canada 1971 Canada 1981 Canada 1991-2001 Canada 2011 Chile 1960 Chile 1970 Chile 1982 Chile 1992 Chile 2002 Chile 2017 China 1982 China 1990 China 2000 Colombia 1964 - Spanish Colombia 1973 - Spanish Colombia 1993 - Spanish Colombia 2005 - Spanish Costa Rica 1963 Costa Rica 1973 Costa Rica 1984 Costa Rica 2000 Costa Rica 2011 Cote d’Ivoire 1988 Cote d’Ivoire 1998 Cuba 2002 Cuba 2012 Dominican Republic 1960 Dominican Republic 1970 Dominican Republic 1981 Dominican Republic 2002 Dominican Republic 2010 Ecuador 1962 Ecuador 1982 Ecuador 1990 Ecuador 2001 Ecuador 2010 Egypt 1986 Egypt 1996 Egypt 2006 El Salvador 1992 El Salvador 2007 Ethiopia 1984 Ethiopia 1994 Fiji 1966 Fiji 1976 Fiji 1986 Fiji 1996 Fiji 2007 Fiji 2014 Finland 2010 France 1962-1968 - French France 1975-1982 - French France 1990 - French France 1999 France 2006 France 2011 Germany 1970 Germany 1971 Germany 1981 Germany 1987 Ghana 1984 Ghana 2000 Ghana 2010 Greece 1971 Greece 1981 Greece 1991-2001 Greece 2011 Guatemala 1964 Guatemala 1973 Guatemala 1981 Guatemala 1994 Guatemala 2002 Guinea 1983 Guinea 2014 Haiti 1971 Haiti 1982 Haiti 2003 Honduras 1961 Honduras 1974 Honduras 2001 Hungary 2001 Hungary 2011 India 1983 India 1987 India 1993 India 1999 India 2004 India 2009 Indonesia 1971 Indonesia 1976 Indonesia 1980 Indonesia 1985 Indonesia 1990 Indonesia 1995 Indonesia 2000 Indonesia 2005 Indonesia 2010 Iran 2006 Iran 2011 Iraq 1997 Ireland 1971 Ireland 1981 Ireland 1986 Ireland 1991 Ireland 1996 Ireland 2002 Ireland 2006 Ireland 2011 Ireland 2016 Israel 1972 Israel 1983 Israel 1995 Israel 2008 Italy 2001 Italy 2011 Italy Surveys 2011-2013 Italy Surveys 2014-2020 Jamaica 1982 Jamaica 1991 Jamaica 2001 Jordan 2004 Kyrgyz Republic 1999 Kyrgyz Republic 2009 Laos 1995 Laos 2005 Laos 2015 Lesotho 2006 Liberia 1974 Liberia 2008 Malawi 1987 Malawi 1998 Malawi 2008 Malaysia 1970 Malaysia 1980-1991 Malaysia 2000 Mali 1987 Mali 1998 Mali 2009 Mauritius 1990 Mauritius 2000 Mauritius 2011 Mexico 1960 - Spanish Mexico 1970 - Spanish Mexico 1990 - Spanish Mexico 1995 - Spanish Mexico 2000 - Spanish Mexico 2010 Mexico 2015 Mexico 2020 Mexico surveys 2005-2019 Morocco 1982 Morocco 1994 Morocco 2004 Morocco 2014 Mozambique 1997 Mozambique 2007 Myanmar 2014 Nepal 2001 Nepal 2011 Netherlands 1960 Netherlands 1971 Netherlands 2001 Netherlands 2011 Nicaragua 1971 Nicaragua 1995 Nicaragua 2005 Nigeria 2006 Nigeria 2007 Nigeria 2008 Nigeria 2009 Nigeria 2010 Pakistan 1973 Palestine 1997 Palestine 2007 Palestine 2017 Panama 1960 - Spanish Panama 1970-1980 - Spanish Panama 1990-2000 - Spanish Panama 2010 Papua New Guinea 1980 Papua New Guinea 2000 Paraguay 1962 Paraguay 1972 Paraguay 1982 Paraguay 1992 Paraguay 2002 Peru 1993 Peru 2007 Peru 2017 Philippines 1990 Philippines 1995 Philippines 2000 Philippines 2010 Poland 1978 Poland 2002 Portugal 1981 - Portuguese Portugal 1991-2001 - Portuguese Portugal 2011 Puerto Rico 1970-2005 Puerto Rico 2010 Puerto Rico 2015 Puerto Rico 2020 Romania 1977 Romania 1992 Romania 2002 Romania 2011 Rwanda 2002 - French Rwanda 2012 Saint Lucia 1991 Senegal 1988 Senegal 2013 Sierra Leone 2004 South Africa 1996 South Africa 2001-2007 South Sudan 2008 Spain 1981 - Spanish Spain 1991 - Spanish Spain 2001 - Spanish Spain 2011 Spain Surveys 2005-2020 Sudan 2008 Suriname 2004 Suriname 2012 Switzerland 1970-2000 Switzerland 2011 Tanzania 2002 Tanzania 2012 Thailand 1970 Thailand 1980 Thailand 1990 Thailand 2000 Togo 1970 Togo 2010 Trinidad and Tobago 1980 Trinidad and Tobago 1990 Trinidad and Tobago 2000 Turkey 1985 Turkey 1990 Turkey 2000 Uganda 2002 United Kingdom 1961 United Kingdom 1971 United Kingdom 1991 United Kingdom 2001 United States 1960 United States 1970 United States 1980 United States 1990 United States 2000-2005 United States 2010 United States 2015 United States 2020 Uruguay 1963 Uruguay 1985 Uruguay 1996 Uruguay 2006 Venezuela 1981 Venezuela 1990 Venezuela 2001 - Spanish Vietnam 1989 Vietnam 1999 Vietnam 2009 Vietnam 2019 Zambia 1990 Zambia 2000 Zambia 2010 IPUMS Status in employment (class of worker) [general version] NIU (not in universe) 1 Self-employed 2 Wage/salary worker 3 Unpaid worker 4 Other 9 Unknown/missing CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. IPUMS Status in employment (class of worker) [detailed version] 000 NIU (not in universe) 100 Self-employed 101 Self-employed, unincorporated 102 Self-employed, incorporated 110 Employer 111 Sharecropper, employer 120 Working on own account 121 Own account, agriculture 122 Domestic worker, self-employed 123 Subsistence worker, own consumption 124 Own account, other 125 Own account, without temporary/unpaid help 126 Own account, with temporary/unpaid help 130 Member of cooperative 140 Sharecropper 141 Sharecropper, self-employed 142 Sharecropper, employee 150 Kibbutz member 199 Self-employed, not specified 200 Wage/salary worker 201 Management 202 Non-management 203 White collar (non-manual) 204 Blue collar (manual) 205 White or blue collar 206 Day laborer 207 Employee, with a permanent job 208 Employee, occasional, temporary, contract 209 Employee without legal contract 210 Wage/salary worker, private employer 211 Apprentice 212 Religious worker 213 Wage/salary worker, non-profit, NGO 214 White collar, private 215 Blue collar, private 216 Paid family worker 217 Cooperative employee 220 Wage/salary worker, government 221 Federal, government employee 222 State government employee 223 Local government employee 224 White collar, public 225 Blue collar, public 226 Public companies 227 Civil servants, local collectives 230 Domestic worker (work for private household) 240 Seasonal migrant 241 Seasonal migrant, no broker 242 Seasonal migrant, uses broker 250 Other wage and salary 251 Canal zone/commission employee 252 Government employment/training program 253 Mixed state/private enterprise/parastatal 254 Government public work program 255 State enterprise employee 256 Coordinated and continuous collaboration job 300 Unpaid worker 310 Unpaid family worker 320 Apprentice, unpaid or unspecified 330 Trainee 340 Apprentice or trainee 350 Works for others without wage 400 Other 999 Unknown/missing CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. IPUMS Status in employment (class of worker), Europe 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 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. IPUMS Migration status, previous residence 00 NIU (not in universe) 10 Same major administrative unit 11 Same major, same minor administrative unit 12 Same major, different minor administrative unit 20 Different major administrative unit 30 Abroad 98 Response suppressed 99 Not reported/missing/unknown MIGRATEP indicates whether the person's most recent move (if any) was between minor administrative units, major units, or countries. IPUMS 1st subnational geographic level of previous residence, world [consistent boundaries over time] 051901 Yerevan [Province: Armenia] 051902 Aragatsotn [Province: Armenia] 051903 Ararat [Province: Armenia] 051904 Armavir [Province: Armenia] 051905 Gegharkunik [Province: Armenia] 051906 Lori [Province: Armenia] 051907 Kotayk [Province: Armenia] 051908 Shirak [Province: Armenia] 051909 Syunik [Province: Armenia] 051910 Vayots Dzor [Province: Armenia] 051911 Tavush [Province: Armenia] 051912 Nagorno-Karabagh [Province: Armenia] 051997 Foreign country [Province: Armenia] 051998 Unknown [Province: Armenia] 051999 NIU (not in universe) [Province: Armenia] 112001 Brest [Region: Belarus] 112002 Vitebsk [Region: Belarus] 112003 Gomel [Region: Belarus] 112004 Grodno [Region: Belarus] 112006 Minsk, Minsk City [Region: Belarus] 112007 Mogilev [Region: Belarus] 112097 Foreign country [Region: Belarus] 112098 Unknown [Region: Belarus] 112099 NIU (not in universe) [Region: Belarus] 204001 Alibori [Department: Benin] 204002 Atacora [Department: Benin] 204003 Atlantique [Department: Benin] 204004 Borgou [Department: Benin] 204005 Collines [Department: Benin] 204006 Couffo [Department: Benin] 204007 Donga [Department: Benin] 204008 Littoral [Department: Benin] 204009 Mono [Department: Benin] 204010 Oueme [Department: Benin] 204011 Plateau [Department: Benin] 204012 Zou [Department: Benin] 204097 Abroad [Department: Benin] 204098 Unknown [Department: Benin] 204099 NIU (not in universe) [Department: Benin] 076011 Rondônia [State: Brazil] 076012 Acre [State: Brazil] 076013 Amazonas [State: Brazil] 076014 Roraima [State: Brazil] 076015 Pará [State: Brazil] 076016 Amapá [State: Brazil] 076021 Maranhão [State: Brazil] 076022 Piauí [State: Brazil] 076023 Ceará [State: Brazil] 076024 Rio Grande do Norte [State: Brazil] 076025 Paraíba [State: Brazil] 076026 Pernambuco, Arquipelago de Fernando de Noronha [State: Brazil] 076027 Alagoas [State: Brazil] 076028 Sergipe [State: Brazil] 076029 Bahia [State: Brazil] 076031 Minas Gerais [State: Brazil] 076032 Espírito Santo [State: Brazil] 076033 Rio de Janeiro, Guanabara [State: Brazil] 076035 São Paulo [State: Brazil] 076036 Serra dos Aimorés [State: Brazil] 076041 Paraná [State: Brazil] 076042 Santa Catarina [State: Brazil] 076043 Rio Grande do Sul [State: Brazil] 076051 Mato Grosso do Sul, Mato Grosso [State: Brazil] 076052 Goiás, Tocantins [State: Brazil] 076053 Distrito Federal [State: Brazil] 076054 Brazil, unspecified [State: Brazil] 076097 Abroad [State: Brazil] 076098 Unknown [State: Brazil] 076099 NIU (not in universe) [State: Brazil] 116001 Banteay Meanchey [Province: Cambodia] 116002 Battambang [Province: Cambodia] 116003 Kampong Cham, Tbong Khmum [Province: Cambodia] 116004 Kampong Chhnang [Province: Cambodia] 116005 Kampong Speu [Province: Cambodia] 116006 Kampong Thom [Province: Cambodia] 116007 Kampot [Province: Cambodia] 116008 Phnom Penh, Kandal [Province: Cambodia] 116009 Koh Kong, Preah Sihanouk [Province: Cambodia] 116010 Kratie [Province: Cambodia] 116011 Mondul Kiri [Province: Cambodia] 116013 Preah Vihear [Province: Cambodia] 116014 Prey Veng [Province: Cambodia] 116015 Pursat [Province: Cambodia] 116016 Ratanak Kiri [Province: Cambodia] 116017 Siem Reap, Otdar Meanchey [Province: Cambodia] 116019 Stung Treng [Province: Cambodia] 116020 Svay Rieng [Province: Cambodia] 116021 Takeo [Province: Cambodia] 116023 Kep [Province: Cambodia] 116024 Pailin [Province: Cambodia] 116097 Foreign country [Province: Cambodia] 116098 Unknown [Province: Cambodia] 116099 NIU (not in universe) [Province: Cambodia] 120002 Centre, Sud [Province: Cameroon] 120003 Est [Province: Cameroon] 120004 Nord, Adamoua, Extrème Nord [Province: Cameroon] 120005 Littoral [Province: Cameroon] 120007 Nord Ouest [Province: Cameroon] 120008 Ouest [Province: Cameroon] 120010 Sud Ouest [Province: Cameroon] 120096 Cameroon - unknown arrondissement [Province: Cameroon] 120097 Foreign country [Province: Cameroon] 120098 Unknown [Province: Cameroon] 120099 NIU (not in universe) [Province: Cameroon] 152001 Tarapaca [Province: Chile] 152002 Antofagasta [Province: Chile] 152003 Atacama [Province: Chile] 152004 Coquimbo [Province: Chile] 152005 Aconcagua [Province: Chile] 152006 Valparaíso [Province: Chile] 152007 Santiago [Province: Chile] 152008 O'Higgins [Province: Chile] 152009 Colchagua [Province: Chile] 152010 Curicó [Province: Chile] 152011 Talca [Province: Chile] 152012 Maule [Province: Chile] 152013 Linares [Province: Chile] 152014 Ñuble [Province: Chile] 152015 Concepción [Province: Chile] 152016 Arauco [Province: Chile] 152017 Bío Bío [Province: Chile] 152018 Malleco [Province: Chile] 152019 Cautín [Province: Chile] 152020 Valdivia [Province: Chile] 152021 Osorno [Province: Chile] 152022 Llanquihue [Province: Chile] 152023 Chiloé [Province: Chile] 152024 Aysén [Province: Chile] 152025 Magallanes [Province: Chile] 152097 Foreign country [Province: Chile] 152098 Unknown [Province: Chile] 152099 NIU (not in universe) [Province: Chile] 170005 Antioquia [Department: Colombia] 170008 Atlántico [Department: Colombia] 170011 Bogotá D.C., Cundinamarca [Department: Colombia] 170013 Bolívar, Sucre [Department: Colombia] 170015 Boyacá, Casanare [Department: Colombia] 170018 Caquetá [Department: Colombia] 170019 Cauca [Department: Colombia] 170023 Córdoba [Department: Colombia] 170027 Chocó [Department: Colombia] 170041 Huila [Department: Colombia] 170044 La Guajira [Department: Colombia] 170050 Meta [Department: Colombia] 170052 Nariño [Department: Colombia] 170054 Cesar, Norte De Santander, Magdalena [Department: Colombia] 170066 Caldas, Quindío, Risaralda [Department: Colombia] 170068 Santander [Department: Colombia] 170073 Tolima [Department: Colombia] 170076 Valle Del Cauca [Department: Colombia] 170081 Arauca [Department: Colombia] 170086 Putumayo [Department: Colombia] 170088 Archipiélago De San Andrés Y Providencia [Department: Colombia] 170095 Amazonas, Guaviare, Vaupés, Vichada, Guainía [Department: Colombia] 170097 Abroad [Department: Colombia] 170098 Unknown [Department: Colombia] 188001 San José [Province: Costa Rica] 188002 Alajuela [Province: Costa Rica] 188003 Cartago [Province: Costa Rica] 188004 Heredia [Province: Costa Rica] 188005 Guanacaste [Province: Costa Rica] 188006 Puntarenas [Province: Costa Rica] 188007 Limón [Province: Costa Rica] 188097 Foreign country [Province: Costa Rica] 188098 Unknown [Province: Costa Rica] 192021 Pinar del Río, Artemisa, Mayabeque [Province: Cuba] 192023 La Habana [Province: Cuba] 192025 Matanzas [Province: Cuba] 192026 Villa Clara [Province: Cuba] 192027 Cienfuegos [Province: Cuba] 192028 Sancti Spíritus [Province: Cuba] 192029 Ciego de Ávila [Province: Cuba] 192030 Camagüey [Province: Cuba] 192031 Las Tunas [Province: Cuba] 192032 Holguín [Province: Cuba] 192033 Granma [Province: Cuba] 192034 Santiago de Cuba [Province: Cuba] 192035 Guantánamo [Province: Cuba] 192040 Isla de la Juventud [Province: Cuba] 192997 Abroad [Province: Cuba] 192998 Unknown [Province: Cuba] 192999 NIU (not in universe) [Province: Cuba] 218001 Azuay [Province: Ecuador] 218002 Bolívar [Province: Ecuador] 218004 Carchi [Province: Ecuador] 218005 Cotopaxi [Province: Ecuador] 218006 Chimborazo [Province: Ecuador] 218007 El Oro [Province: Ecuador] 218009 Cañar, Esmeraldas, Guayas, Manabí, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los Ríos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos [Province: Ecuador] 218010 Imbabura, Las Golondrinas [Disputed canton] [Province: Ecuador] 218011 Loja [Province: Ecuador] 218014 Morona Santiago [Province: Ecuador] 218016 Pastaza [Province: Ecuador] 218018 Tungurahua [Province: Ecuador] 218019 Zamora Chinchipe [Province: Ecuador] 218021 Napo, Orellana, Sucumbíos [Province: Ecuador] 218097 Foreign country [Province: Ecuador] 218098 Unknown and Disputed Zones [Province: Ecuador] 218999 NIU (not in universe) [Province: Ecuador] 818000 Reported same governorate as household location [Governorate: Egypt] 818001 Giza, 6th October City, Cairo, Helwan [Governorate: Egypt] 818002 Alexandria [Governorate: Egypt] 818003 Port Said [Governorate: Egypt] 818004 Suez [Governorate: Egypt] 818011 Demietta [Governorate: Egypt] 818012 Dakahlia [Governorate: Egypt] 818013 Sharkia [Governorate: Egypt] 818014 Kaliobia [Governorate: Egypt] 818015 Kafr Sheikh [Governorate: Egypt] 818016 Gharbia [Governorate: Egypt] 818018 Menoufia, Behera [Governorate: Egypt] 818019 Ismailia [Governorate: Egypt] 818022 Bani Swif [Governorate: Egypt] 818023 Fayoum [Governorate: Egypt] 818024 Menia [Governorate: Egypt] 818025 Asiut [Governorate: Egypt] 818026 Sohag [Governorate: Egypt] 818027 Qena, Luxor [Governorate: Egypt] 818028 Aswan [Governorate: Egypt] 818031 Red Sea [Governorate: Egypt] 818032 New Valley [Governorate: Egypt] 818033 Marsa Matroh [Governorate: Egypt] 818034 North Sinai [Governorate: Egypt] 818035 South Sinai [Governorate: Egypt] 818097 Abroad [Governorate: Egypt] 818098 Unknown [Governorate: Egypt] 818099 NIU (not in universe) [Governorate: Egypt] 222001 Ahuachapán [Department: El Salvador] 222002 Santa Ana [Department: El Salvador] 222003 Sonsonate [Department: El Salvador] 222004 Chalatenango [Department: El Salvador] 222005 La Libertad [Department: El Salvador] 222006 San Salvador [Department: El Salvador] 222007 Cuscatlán [Department: El Salvador] 222008 La Paz [Department: El Salvador] 222009 Cabañas [Department: El Salvador] 222010 San Vicente [Department: El Salvador] 222011 Usulután [Department: El Salvador] 222012 San Miguel [Department: El Salvador] 222013 Morazán [Department: El Salvador] 222014 La Unión [Department: El Salvador] 222098 Abroad [Department: El Salvador] 222099 NIU (not in universe) [Department: El Salvador] 231001 Tigray [Region: Ethiopia] 231002 Affar [Region: Ethiopia] 231003 Amhara [Region: Ethiopia] 231004 Oromia, Somali [Region: Ethiopia] 231006 Benishangul-Gumuz [Region: Ethiopia] 231007 Southern Nations, Nationalities, and Peoples (SNNP) [Region: Ethiopia] 231012 Gambela [Region: Ethiopia] 231013 Harari [Region: Ethiopia] 231014 Addis Ababa [Region: Ethiopia] 231015 Dire Dawa [Region: Ethiopia] 231097 Abroad [Region: Ethiopia] 231099 NIU [Region: Ethiopia] 250001 Guadeloupe [Region: France] 250002 Martinique [Region: France] 250003 French Guyana [Region: France] 250004 Réunion Island [Region: France] 250011 Île-de-France [Region: France] 250021 Champagne-Ardenne [Region: France] 250022 Picardy [Region: France] 250023 Upper Normandy [Region: France] 250024 Centre [Region: France] 250025 Lower Normandy [Region: France] 250026 Burgundy [Region: France] 250031 North Pas-de-Calais [Region: France] 250041 Lorraine [Region: France] 250042 Alsace [Region: France] 250043 Franche-Comté [Region: France] 250052 Loire Valley [Region: France] 250053 Brittany [Region: France] 250054 Poitou-Charentes [Region: France] 250072 Aquitaine [Region: France] 250073 Midi-Pyrénées [Region: France] 250074 Limousin [Region: France] 250082 Rhône-Alpes [Region: France] 250083 Auvergne [Region: France] 250091 Languedoc-Roussillon [Region: France] 250093 Provence-Alpes-Riviera [Region: France] 250094 Corsica [Region: France] 250097 Abroad [Region: France] 320001 Guatemala [Department: Guatemala] 320002 El Progreso [Department: Guatemala] 320003 Sacatepéquez [Department: Guatemala] 320004 Chimaltenango [Department: Guatemala] 320005 Escuintla [Department: Guatemala] 320006 Santa Rosa [Department: Guatemala] 320007 Sololá [Department: Guatemala] 320008 Totonicapán [Department: Guatemala] 320009 Quetzaltenango [Department: Guatemala] 320010 Suchitepéquez [Department: Guatemala] 320011 Retalhuleu [Department: Guatemala] 320012 San Marcos [Department: Guatemala] 320013 Huehuetenango [Department: Guatemala] 320014 Quiché [Department: Guatemala] 320015 Baja Verapaz [Department: Guatemala] 320016 Alta Verapaz [Department: Guatemala] 320017 Petén [Department: Guatemala] 320018 Izabal [Department: Guatemala] 320019 Zacapa [Department: Guatemala] 320020 Chiquimula [Department: Guatemala] 320021 Jalapa [Department: Guatemala] 320022 Jutiapa [Department: Guatemala] 320097 Foreign Country [Department: Guatemala] 320098 Unknown [Department: Guatemala] 320099 NIU [Department: Guatemala] 324011 Boffa [Region: Guinea] 324012 Boké [Region: Guinea] 324013 Fria [Region: Guinea] 324014 Gaoual [Region: Guinea] 324015 Koundara [Region: Guinea] 324021 Conakry [Region: Guinea] 324031 Dabola [Region: Guinea] 324032 Dinguiraye [Region: Guinea] 324033 Faranah [Region: Guinea] 324034 Kissidougou [Region: Guinea] 324041 Kankan [Region: Guinea] 324042 Kérouané [Region: Guinea] 324043 Kouroussa [Region: Guinea] 324044 Mandiana [Region: Guinea] 324045 Siguiri [Region: Guinea] 324051 Coyah, Dubréka [Region: Guinea] 324053 Forécariah [Region: Guinea] 324054 Kindia [Region: Guinea] 324055 Télimélé [Region: Guinea] 324061 Koubia [Region: Guinea] 324062 Labé [Region: Guinea] 324063 Lélouma [Region: Guinea] 324064 Mali [Region: Guinea] 324065 Tougué [Region: Guinea] 324071 Dalaba [Region: Guinea] 324072 Mamou [Region: Guinea] 324073 Pita [Region: Guinea] 324081 Beyla [Region: Guinea] 324082 Guéckédou [Region: Guinea] 324083 Lola [Region: Guinea] 324084 Macenta [Region: Guinea] 324085 Nzerekore [Region: Guinea] 324086 Yomou [Region: Guinea] 324096 Guinea, place unknown [Region: Guinea] 324097 Foreign country [Region: Guinea] 324098 Unknown [Region: Guinea] 324099 NIU (not in universe) [Region: Guinea] 332003 Nord (North) and Nord'est (North East) [Department: Haiti] 332006 Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti] 332007 Grand'Anse, Nippes, Sud (South) [Department: Haiti] 332009 Nord'Ouest (North West) [Department: Haiti] 332097 Foreign Country [Department: Haiti] 332098 Unknown [Department: Haiti] 356001 Jammu and Kashmir [State: India] 356002 Himachal Pradesh [State: India] 356003 Punjab [State: India] 356004 Chandigarh [State: India] 356006 Haryana [State: India] 356007 Delhi [State: India] 356008 Rajasthan [State: India] 356009 Uttar Pradesh, Uttaranchal [State: India] 356010 Bihar, Jharkhand [State: India] 356011 Sikkim [State: India] 356012 Arunachal Pradesh [State: India] 356013 Nagaland [State: India] 356014 Manipur [State: India] 356015 Mizoram [State: India] 356016 Tripura [State: India] 356017 Meghalaya [State: India] 356018 Assam [State: India] 356019 West Bengal [State: India] 356021 Orissa [State: India] 356023 Madhya Pradesh, Chhattisgarh [State: India] 356024 Gujarat [State: India] 356026 Dadra and Nagar Haveli [State: India] 356027 Maharashtra [State: India] 356028 Andhra Pradesh [State: India] 356029 Karnataka [State: India] 356030 Goa, Daman and Diu [State: India] 356031 Lakshadweep [State: India] 356032 Kerala [State: India] 356033 Tamil Nadu [State: India] 356034 Pondicherry [State: India] 356035 Andaman and Nicobar Islands [State: India] 356097 Abroad [State: India] 356098 Unknown [State: India] 356099 NIU (not in universe) [State: India] 360011 Nanggroe Aceh Darussalam [Province: Indonesia] 360012 Sumatera Utara [Province: Indonesia] 360013 Sumatera Barat [Province: Indonesia] 360014 Kepulauan Riau, Riau [Province: Indonesia] 360015 Jambi [Province: Indonesia] 360016 Bangka Belitung, Sumatera Selatan [Province: Indonesia] 360017 Bengkulu [Province: Indonesia] 360018 Lampung [Province: Indonesia] 360031 DKI Jakarta [Province: Indonesia] 360032 Banten, Jawa Barat [Province: Indonesia] 360033 Jawa Tengah [Province: Indonesia] 360034 DKI Yogyakarta [Province: Indonesia] 360035 Jawa Timur [Province: Indonesia] 360051 Bali [Province: Indonesia] 360052 Nusa Tenggara Barat [Province: Indonesia] 360053 Nusa Tenggara Timur [Province: Indonesia] 360061 Kalimantan Barat [Province: Indonesia] 360062 Kalimantan Tengah [Province: Indonesia] 360063 Kalimantan Selatan [Province: Indonesia] 360064 Kalimantan Timur [Province: Indonesia] 360071 Gorontalo, Sulawesi Utara [Province: Indonesia] 360072 Sulawesi Tengah [Province: Indonesia] 360073 Sulawesi Barat, Sulawesi Selatan [Province: Indonesia] 360074 Sulawesi Tenggara [Province: Indonesia] 360081 Maluku, Maluku Utara [Province: Indonesia] 360094 Papua, Papua Barat [Province: Indonesia] 360097 Abroad [Province: Indonesia] 360098 Unknown [Province: Indonesia] 360099 NIU (not in universe) [Province: Indonesia] 360626 East Timor [Province: Indonesia] 364000 Markazi [Province: Iran] 364001 Gilan [Province: Iran] 364002 Mazandaran [Province: Iran] 364003 East Azarbayejan [Province: Iran] 364004 West Azarbayejan [Province: Iran] 364005 Kermanshah [Province: Iran] 364006 Khuzestan [Province: Iran] 364007 Fars [Province: Iran] 364008 Kerman [Province: Iran] 364009 Razavi Khorasan [Province: Iran] 364010 Esfahan [Province: Iran] 364011 Sistan and Baluchestan [Province: Iran] 364012 Kordestan [Province: Iran] 364013 Hamedan [Province: Iran] 364014 Chaharmahal and Bakhtiyari [Province: Iran] 364015 Lorestan [Province: Iran] 364016 Ilam [Province: Iran] 364017 Kohgiluyeh and Boyerahmad [Province: Iran] 364018 Bushehr [Province: Iran] 364019 Zanjan [Province: Iran] 364020 Semnan [Province: Iran] 364021 Yazd [Province: Iran] 364022 Hormozgan [Province: Iran] 364023 Tehran, Alborz [Province: Iran] 364024 Ardebil [Province: Iran] 364025 Qom [Province: Iran] 364026 Qazvin [Province: Iran] 364027 Golestan [Province: Iran] 364028 North Khorasan [Province: Iran] 364029 South Khorasan [Province: Iran] 364098 Unknown [Province: Iran] 364099 NIU (not in universe) [Province: Iran] 368000 Always lived in residential place of birth [Governorate: Iraq] 368001 In this governorate [Governorate: Iraq] 368011 Dahuk [Governorate: Iraq] 368012 Nineveh [Governorate: Iraq] 368013 Sulaymaniyah [Governorate: Iraq] 368014 Al-Tameem [Governorate: Iraq] 368015 Erbil [Governorate: Iraq] 368021 Diala [Governorate: Iraq] 368022 Al-Anbar [Governorate: Iraq] 368023 Baghdad [Governorate: Iraq] 368024 Babylon [Governorate: Iraq] 368025 Kerbela [Governorate: Iraq] 368026 Wasit [Governorate: Iraq] 368027 Salah Al-Deen [Governorate: Iraq] 368028 Al-Najaf [Governorate: Iraq] 368031 Al-Qadisiya [Governorate: Iraq] 368032 Al-Muthanna [Governorate: Iraq] 368033 Thi-Qar [Governorate: Iraq] 368034 Maysan [Governorate: Iraq] 368035 Al-Basrah [Governorate: Iraq] 368097 Other countries [Governorate: Iraq] 368098 Unknown [Governorate: Iraq] 388001 Kingston [Parish: Jamaica] 388002 Saint Andrew [Parish: Jamaica] 388003 Saint Thomas [Parish: Jamaica] 388004 Portland [Parish: Jamaica] 388005 Saint Mary [Parish: Jamaica] 388006 Saint Ann [Parish: Jamaica] 388007 Trelawny [Parish: Jamaica] 388008 Saint James [Parish: Jamaica] 388009 Hanover [Parish: Jamaica] 388010 Westmoreland [Parish: Jamaica] 388011 Saint Elizabeth [Parish: Jamaica] 388012 Manchester [Parish: Jamaica] 388013 Clarendon [Parish: Jamaica] 388014 Saint Catherine [Parish: Jamaica] 388098 Unknown [Parish: Jamaica] 388099 NIU (Not in universe) [Parish: Jamaica] 400011 Amman [Governorate: Jordan] 400012 Balqa [Governorate: Jordan] 400013 Zarqa [Governorate: Jordan] 400014 Madaba [Governorate: Jordan] 400021 Irbid [Governorate: Jordan] 400022 Mafraq [Governorate: Jordan] 400023 Jarash [Governorate: Jordan] 400024 Ajlun [Governorate: Jordan] 400031 Karak [Governorate: Jordan] 400032 Tafilah [Governorate: Jordan] 400033 Ma'an [Governorate: Jordan] 400034 Aqaba [Governorate: Jordan] 400997 Foreign Country [Governorate: Jordan] 400998 Unknown [Governorate: Jordan] 404001 Nairobi [Province: Kenya] 404002 Central [Province: Kenya] 404003 Coast [Province: Kenya] 404004 Eastern [Province: Kenya] 404005 Northeastern [Province: Kenya] 404006 Nyanza [Province: Kenya] 404007 Rift Valley [Province: Kenya] 404008 Western [Province: Kenya] 404097 Abroad [Province: Kenya] 404098 Unknown [Province: Kenya] 404099 NIU (not in universe) [Province: Kenya] 417001 Bishkek [Region: Kyrgyz Republic] 417002 Issyk-Kul region [Region: Kyrgyz Republic] 417003 Dzhalal-Abad region [Region: Kyrgyz Republic] 417004 Naryn region [Region: Kyrgyz Republic] 417005 Batken region [Region: Kyrgyz Republic] 417006 Oshskaya region, City of Osh [Region: Kyrgyz Republic] 417007 Talasskaya region [Region: Kyrgyz Republic] 417008 Chuya region [Region: Kyrgyz Republic] 417096 Other Kyrgyz Republic, not specified [Region: Kyrgyz Republic] 417097 Foreign country [Region: Kyrgyz Republic] 417098 Unknown [Region: Kyrgyz Republic] 417099 NIU (not in universe) [Region: Kyrgyz Republic] 418001 Vientiane Capital [Province: Laos] 418002 Phongsaly [Province: Laos] 418003 Luangnamtha [Province: Laos] 418004 Oudomxay [Province: Laos] 418005 Bokeo [Province: Laos] 418006 Luangprabang [Province: Laos] 418007 Huaphanh [Province: Laos] 418008 Xayaboury [Province: Laos] 418009 Xienkhuang [Province: Laos] 418010 Vientiane Province [Province: Laos] 418011 Borikhamxay [Province: Laos] 418012 Khammuane [Province: Laos] 418013 Savanakhet [Province: Laos] 418014 Saravane [Province: Laos] 418015 Sekong [Province: Laos] 418016 Champasack [Province: Laos] 418017 Attapeu [Province: Laos] 418018 Xaysomboune [Province: Laos] 418097 Foreign Country [Province: Laos] 418098 Unknown [Province: Laos] 418099 NIU [Province: Laos] 662003 Castries city, Castries rural, Castries suburban [District: Saint Lucia] 662009 Choiseul, Laborie, Vieux-Fort [District: Saint Lucia] 662010 Anse-la-Raye, Canaries, Micoud, Soufriere [District: Saint Lucia] 662012 Dennery, Gros-Islet [District: Saint Lucia] 662098 Unknown [District: Saint Lucia] 662099 NIU [District: Saint Lucia] 454101 Chitipa [District: Malawi] 454102 Karonga [District: Malawi] 454103 Nkhata Bay, Likoma [District: Malawi] 454104 Rumphi [District: Malawi] 454105 Mzimba, Mzuzu city [District: Malawi] 454201 Kasungu [District: Malawi] 454202 Nkhotakota [District: Malawi] 454203 Ntchisi [District: Malawi] 454204 Dowa [District: Malawi] 454205 Salima [District: Malawi] 454206 Lilongwe, Lilongwe city [District: Malawi] 454207 Mchinji [District: Malawi] 454208 Dedza [District: Malawi] 454209 Ntcheu [District: Malawi] 454301 Mangochi [District: Malawi] 454302 Machinga [District: Malawi] 454303 Zomba, Zomba city [District: Malawi] 454304 Chiradzulu [District: Malawi] 454305 Blantyre, Blantyre city [District: Malawi] 454307 Thyolo [District: Malawi] 454308 Mulanje [District: Malawi] 454309 Phalombe [District: Malawi] 454310 Chikwawa [District: Malawi] 454311 Nsanje [District: Malawi] 454312 Balaka [District: Malawi] 454313 Mwanza, Neno [District: Malawi] 454997 Abroad [District: Malawi] 454999 NIU (not in universe) [District: Malawi] 466001 Kayes [Region: Mali] 466002 Koulikoro [Region: Mali] 466003 Sikasso [Region: Mali] 466004 Ségou [Region: Mali] 466005 Mopti [Region: Mali] 466006 Tombouctou [Region: Mali] 466007 Gao, Kidal [Region: Mali] 466009 Bamako [Region: Mali] 466096 Mali, province unspecified [Region: Mali] 466097 Foreign country [Region: Mali] 466098 Unknown [Region: Mali] 466999 NIU (not in universe) [Region: Mali] 484001 Aguascalientes [State: Mexico] 484002 Baja California [State: Mexico] 484003 Baja California Sur [State: Mexico] 484004 Campeche [State: Mexico] 484005 Coahuila de Zaragoza [State: Mexico] 484006 Colima [State: Mexico] 484007 Chiapas [State: Mexico] 484008 Chihuahua [State: Mexico] 484009 Distrito Federal [State: Mexico] 484010 Durango [State: Mexico] 484011 Guanajuato [State: Mexico] 484012 Guerrero [State: Mexico] 484013 Hidalgo [State: Mexico] 484014 Jalisco [State: Mexico] 484015 México [State: Mexico] 484016 Michoacán de Ocampo [State: Mexico] 484017 Morelos [State: Mexico] 484018 Nayarit [State: Mexico] 484019 Nuevo León [State: Mexico] 484020 Oaxaca [State: Mexico] 484021 Puebla [State: Mexico] 484022 Querétaro [State: Mexico] 484023 Quintana Roo [State: Mexico] 484024 San Luis Potosí [State: Mexico] 484025 Sinaloa [State: Mexico] 484026 Sonora [State: Mexico] 484027 Tabasco [State: Mexico] 484028 Tamaulipas [State: Mexico] 484029 Tlaxcala [State: Mexico] 484030 Veracruz de Ignacio de la Llave [State: Mexico] 484031 Yucatán [State: Mexico] 484032 Zacatecas [State: Mexico] 484097 Abroad [State: Mexico] 484098 Unknown [State: Mexico] 484099 NIU (not in universe) [State: Mexico] 496001 Arkhangai [Province: Mongolia] 496002 Bayan-Olgii [Province: Mongolia] 496003 Bayankhongor [Province: Mongolia] 496004 Bulgan [Province: Mongolia] 496005 Govi-Altai [Province: Mongolia] 496006 Dornogovi, Govisumber [Province: Mongolia] 496007 Dornod [Province: Mongolia] 496008 Dundgovi [Province: Mongolia] 496009 Zavkhan [Province: Mongolia] 496010 Ovorkhangai [Province: Mongolia] 496011 Omnogovi [Province: Mongolia] 496012 Sukhbaatar [Province: Mongolia] 496013 Selenge [Province: Mongolia] 496014 Tov [Province: Mongolia] 496015 Uvs [Province: Mongolia] 496016 Khovd [Province: Mongolia] 496017 Khovsgol [Province: Mongolia] 496018 Khentii [Province: Mongolia] 496019 Darkhan-Uul [Province: Mongolia] 496020 Ulaanbaatar [Province: Mongolia] 496021 Orkhon [Province: Mongolia] 496097 Abroad [Province: Mongolia] 496099 NIU (not in universe) [Province: Mongolia] 104001 Kachin [State: Myanmar] 104002 Kayah [State: Myanmar] 104003 Kayin [State: Myanmar] 104004 Chin [State: Myanmar] 104005 Sagaing [State: Myanmar] 104006 Tanintharyi [State: Myanmar] 104007 Bago [State: Myanmar] 104008 Magway [State: Myanmar] 104009 Mandalay [State: Myanmar] 104010 Mon [State: Myanmar] 104011 Rakhine [State: Myanmar] 104012 Yangon [State: Myanmar] 104013 Shan [State: Myanmar] 104014 Ayeyawady [State: Myanmar] 104015 Nay Pyi Taw [State: Myanmar] 104097 Abroad [State: Myanmar] 104099 NIU [State: Myanmar] 591002 Coclé [Province: Panama] 591003 Colón, Comarca Kuna Yala (San Blas) [Province: Panama] 591004 Bocas de Toro, Chiriquí, Comarca Ngäbe Buglé, Veraguas [Province: Panama] 591005 Comarca Emberá, Darién [Province: Panama] 591006 Herrera [Province: Panama] 591007 Los Santos [Province: Panama] 591008 Panamá [Province: Panama] 591009 Unknown district in Panamá province [Province: Panama] 591097 Foreign country [Province: Panama] 591098 Unknown [Province: Panama] 591099 NIU (not in universe) [Province: Panama] 608001 Abra [Province: Philippines] 608002 Agusan del norte [Province: Philippines] 608003 Agusan del sur [Province: Philippines] 608004 Aklan [Province: Philippines] 608005 Albay [Province: Philippines] 608006 Antique [Province: Philippines] 608007 Basilan, City Of Isabela [Province: Philippines] 608008 Bataan [Province: Philippines] 608010 Batangas [Province: Philippines] 608011 Benguet [Province: Philippines] 608012 Bohol [Province: Philippines] 608013 Bukidnon [Province: Philippines] 608014 Bulacan [Province: Philippines] 608015 Cagayan, Batanes [Province: Philippines] 608016 Camarines norte [Province: Philippines] 608017 Camarines Sur [Province: Philippines] 608018 Camiguin [Province: Philippines] 608019 Capiz [Province: Philippines] 608020 Catanduanes [Province: Philippines] 608021 Cavite [Province: Philippines] 608022 Cebu [Province: Philippines] 608023 Davao (Davao del Norte) [Province: Philippines] 608024 Davao del Sur, Davao Occidental [Province: Philippines] 608025 Davao Oriental [Province: Philippines] 608026 Eastern Samar [Province: Philippines] 608027 Ifugao [Province: Philippines] 608028 Ilocos Norte [Province: Philippines] 608029 Ilocos Sur [Province: Philippines] 608030 Iloilo, Guimaras [Province: Philippines] 608031 Isabela [Province: Philippines] 608032 Kalinga-Apayao, Apayo, Kalinga [Province: Philippines] 608033 La Union [Province: Philippines] 608034 Laguna [Province: Philippines] 608035 Lanao del Norte [Province: Philippines] 608036 Lanao del Sur, Maguindanao, Marawi City and Cotabato city [Province: Philippines] 608037 Leyte, Biliran [Province: Philippines] 608039 Manila [Province: Philippines] 608040 Marinduque [Province: Philippines] 608041 Masbate [Province: Philippines] 608042 Misamis Occidental [Province: Philippines] 608043 Misamis Oriental [Province: Philippines] 608044 Mountain Province [Province: Philippines] 608045 Negros Occidental [Province: Philippines] 608046 Negros Oriental [Province: Philippines] 608047 Cotabato (North Cotabato) [Province: Philippines] 608048 Northern Samar [Province: Philippines] 608049 Nueva Ecija [Province: Philippines] 608050 Nueva Vizcaya [Province: Philippines] 608051 Occidental Mindoro [Province: Philippines] 608052 Oriental Mindoro [Province: Philippines] 608053 Palawan [Province: Philippines] 608054 Pampanga [Province: Philippines] 608055 Pangasinan [Province: Philippines] 608056 Quezon [Province: Philippines] 608057 Quirino [Province: Philippines] 608058 Rizal [Province: Philippines] 608059 Romblon [Province: Philippines] 608060 Samar (Western Samar) [Province: Philippines] 608061 Siquijor [Province: Philippines] 608062 Sorsogon [Province: Philippines] 608063 South Cotabato, Sarangani [Province: Philippines] 608064 Southern Leyte [Province: Philippines] 608065 Sultan Kudarat [Province: Philippines] 608066 Sulu [Province: Philippines] 608067 Surigao Del Norte, Dinagat islands [Province: Philippines] 608068 Surigao del Sur [Province: Philippines] 608069 Tarlac [Province: Philippines] 608070 Tawi-Tawi [Province: Philippines] 608071 Zambales [Province: Philippines] 608072 Zamboanga Norte [Province: Philippines] 608073 Zamboanga del Sur, Zamboanga Sibugay [Province: Philippines] 608074 Manila Metro, 2nd District [Province: Philippines] 608075 Manila Metro, 3rd District [Province: Philippines] 608076 Manila Metro, 4th District [Province: Philippines] 608077 Aurora [Province: Philippines] 608097 Foreign country [Province: Philippines] 608098 Unknown [Province: Philippines] 608099 NIU (not in universe) [Province: Philippines] 642001 Alba [County: Romania] 642002 Arad [County: Romania] 642003 Arges [County: Romania] 642004 Bacau [County: Romania] 642005 Bihor [County: Romania] 642006 Bistrita Nasaud [County: Romania] 642007 Botosani [County: Romania] 642008 Brasov [County: Romania] 642009 Braila [County: Romania] 642010 Buzau [County: Romania] 642011 Caras Severin [County: Romania] 642012 Cluj [County: Romania] 642013 Constanta [County: Romania] 642014 Covasna [County: Romania] 642015 Dambovita [County: Romania] 642016 Dolj [County: Romania] 642017 Galati [County: Romania] 642018 Gorj [County: Romania] 642019 Harghita [County: Romania] 642020 Hunedoara [County: Romania] 642022 Iasi [County: Romania] 642024 Maramures [County: Romania] 642025 Mehedinti [County: Romania] 642026 Mures [County: Romania] 642027 Neamt [County: Romania] 642028 Olt [County: Romania] 642029 Prahova [County: Romania] 642030 Satu Mare [County: Romania] 642031 Salaj [County: Romania] 642032 Sibiu [County: Romania] 642033 Suceava [County: Romania] 642034 Teleorman [County: Romania] 642035 Timis [County: Romania] 642036 Tulcea [County: Romania] 642037 Vaslui [County: Romania] 642038 Valcea [County: Romania] 642039 Vrancea [County: Romania] 642043 Bucharest Sector 1 to 6 [County: Romania] 642051 Calarasi, Giurgiu, Ialomita, Ilfov [County: Romania] 642097 Foreign country [County: Romania] 642098 Unknown [County: Romania] 642099 NIU (not in universe) [County: Romania] 646002 Byumba, Kigali Ngali, Kigali Ville, Kibungo, Umutara [Province: Rwanda] 646003 Gitarama [Province: Rwanda] 646004 Butare [Province: Rwanda] 646005 Gikongoro [Province: Rwanda] 646006 Cyangugu [Province: Rwanda] 646007 Kibuye [Province: Rwanda] 646008 Gisenyi [Province: Rwanda] 646009 Ruhengeri [Province: Rwanda] 646097 Foreign Countries [Province: Rwanda] 646098 Unknown [Province: Rwanda] 646099 NIU [Province: Rwanda] 705001 Pomurska [Region: Slovenia] 705002 Podravska [Region: Slovenia] 705003 Koroška [Region: Slovenia] 705004 Savinjska [Region: Slovenia] 705005 Zasavska [Region: Slovenia] 705006 Spodnjeposavska [Region: Slovenia] 705007 Jugovzhodna Slovenija [Region: Slovenia] 705008 Osrednjeslovenska [Region: Slovenia] 705009 Gorenjska [Region: Slovenia] 705010 Notranjsko-kraška [Region: Slovenia] 705011 Goriška [Region: Slovenia] 705012 Obalno-kraška [Region: Slovenia] 705097 Abroad [Region: Slovenia] 705999 NIU (not in universe) [Region: Slovenia] 710001 Western Cape [Province: South Africa] 710004 Free State [Province: South Africa] 710005 Eastern Cape, KwaZulu-Natal [Province: South Africa] 710007 Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa] 710097 Foreign country [Province: South Africa] 710098 Unknown [Province: South Africa] 710099 NIU (not in universe) [Province: South Africa] 724011 Galicia [Communities & autonomous city: Spain] 724012 Principado de Asturias [Communities & autonomous city: Spain] 724013 Cantabria [Communities & autonomous city: Spain] 724021 País Vasco [Communities & autonomous city: Spain] 724022 Comunidad Foral de Navarra [Communities & autonomous city: Spain] 724023 La Rioja [Communities & autonomous city: Spain] 724024 Aragón [Communities & autonomous city: Spain] 724030 Comunidad de Madrid [Communities & autonomous city: Spain] 724041 Castilla y León [Communities & autonomous city: Spain] 724042 Castilla-La Mancha [Communities & autonomous city: Spain] 724043 Extremadura [Communities & autonomous city: Spain] 724051 Cataluña [Communities & autonomous city: Spain] 724052 Comunidad Valenciana [Communities & autonomous city: Spain] 724053 Islas Baleares [Communities & autonomous city: Spain] 724061 Andalucía [Communities & autonomous city: Spain] 724062 Región de Murcia [Communities & autonomous city: Spain] 724063 Ciudad Autónoma de Ceuta [Communities & autonomous city: Spain] 724064 Ciudad Autónoma de Melilla [Communities & autonomous city: Spain] 724070 Canarias [Communities & autonomous city: Spain] 724097 Abroad [Communities & autonomous city: Spain] 724999 NIU (not in universe) [Communities & autonomous city: Spain] 740001 Paramaribo [District: Suriname] 740002 Wanica [District: Suriname] 740003 Nickerie [District: Suriname] 740005 Saramacca, Coronie [District: Suriname] 740006 Marowijne, Commewijne [District: Suriname] 740008 Brokopondo, Para [District: Suriname] 740010 Sipaliwini [District: Suriname] 740096 Suriname, district unknown [District: Suriname] 740097 Foreign [District: Suriname] 740098 Unknown [District: Suriname] 764010 Bangkok [Province: Thailand] 764011 Samut Prakan [Province: Thailand] 764012 Nonthaburi [Province: Thailand] 764013 Pathum Thani [Province: Thailand] 764014 Phra Nakhon Si Ayutthaya [Province: Thailand] 764015 Ang Thong [Province: Thailand] 764016 Lop Buri [Province: Thailand] 764017 Sing Buri [Province: Thailand] 764018 Chai Nat [Province: Thailand] 764019 Sa Kaeo, Prachin Buri [Province: Thailand] 764020 Chon Buri [Province: Thailand] 764021 Rayong [Province: Thailand] 764022 Chanthaburi [Province: Thailand] 764023 Trat [Province: Thailand] 764024 Chachoengsao [Province: Thailand] 764026 Nakhon Nayok [Province: Thailand] 764027 Saraburi [Province: Thailand] 764030 Nakhon Ratchasima [Province: Thailand] 764031 Buri Ram [Province: Thailand] 764032 Surin [Province: Thailand] 764033 Si Sa Ket [Province: Thailand] 764034 Ubon Ratchathani, Yasothon, Amnat Charoen [Province: Thailand] 764036 Chaiyaphum [Province: Thailand] 764039 Nong Bua Lam Phu, Udon Thani [Province: Thailand] 764040 Khon Kaen [Province: Thailand] 764042 Loei [Province: Thailand] 764043 Nong Khai [Province: Thailand] 764044 Maha Sarakham [Province: Thailand] 764045 Roi Et [Province: Thailand] 764046 Kalasin [Province: Thailand] 764047 Sakon Nakhon [Province: Thailand] 764048 Nakhon Phanom, Mukdahan [Province: Thailand] 764050 Chiang Mai [Province: Thailand] 764051 Lamphun [Province: Thailand] 764052 Lampang [Province: Thailand] 764053 Uttaradit [Province: Thailand] 764054 Phrae [Province: Thailand] 764055 Nan [Province: Thailand] 764057 Phayao, Chiang Rai [Province: Thailand] 764058 Mae Hong Son [Province: Thailand] 764060 Nakhon Sawan [Province: Thailand] 764061 Uthai Thani [Province: Thailand] 764062 Kamphaeng Phet [Province: Thailand] 764063 Tak [Province: Thailand] 764064 Sukhothai [Province: Thailand] 764065 Phitsanulok [Province: Thailand] 764066 Phichit [Province: Thailand] 764067 Phetchabun [Province: Thailand] 764070 Ratchaburi [Province: Thailand] 764071 Kanchanaburi [Province: Thailand] 764072 Suphanburi [Province: Thailand] 764073 Nakhon Pathom [Province: Thailand] 764074 Samut Sakhon [Province: Thailand] 764075 Samut Songkhram [Province: Thailand] 764076 Phetchaburi [Province: Thailand] 764077 Prachuap Khiri Khan [Province: Thailand] 764080 Nakhon Si Thammarat [Province: Thailand] 764082 Phangnga [Province: Thailand] 764083 Phuket [Province: Thailand] 764084 Krabi, Surat Thani [Province: Thailand] 764086 Ranong, Chumphon [Province: Thailand] 764090 Songkhla [Province: Thailand] 764091 Satun [Province: Thailand] 764092 Trang [Province: Thailand] 764093 Phatthalung [Province: Thailand] 764094 Pattani [Province: Thailand] 764095 Yala [Province: Thailand] 764096 Narathiwat [Province: Thailand] 764097 Same province [Province: Thailand] 764098 Unknown province, but within Thaliand [Province: Thailand] 764997 Abroad [Province: Thailand] 764998 Unknown [Province: Thailand] 764999 NIU (not in universe) [Province: Thailand] 768001 Maritime, Lomé [Region: Togo] 768002 Plateaux, Centrale, Kara [Region: Togo] 768003 Savanes [Region: Togo] 768097 Foreign Country [Region: Togo] 768098 Unknown [Region: Togo] 768099 NIU [Region: Togo] 780010 Port of Spain [Region: Trinidad and Tobago] 780020 San Fernando [Region: Trinidad and Tobago] 780080 Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin, Caroni, St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago] 780094 St. Paul, St. Mary, St. David, St. George, St. Patrick, St. Andrew, St. John, Tobago [Region: Trinidad and Tobago] 780098 Unknown [Region: Trinidad and Tobago] 800101 Kalangala [District: Uganda] 800102 Kampala [District: Uganda] 800103 Kiboga, Kyankwanzi [District: Uganda] 800104 Luwero, Nakasongola, Nakaseke [District: Uganda] 800105 Masaka, Ssembabule, Bukomansimbi, Kalungu, Lwengo [District: Uganda] 800106 Mpigi, Wakiso, Butambala, Gomba [District: Uganda] 800107 Mubende, Mityana [District: Uganda] 800108 Mukono, Kayunga, Buikwe, Buvuma [District: Uganda] 800110 Rakai, Lyantonde [District: Uganda] 800201 Bugiri, Iganga, Mayuge, Namutumba, Luuka, Namayingo [District: Uganda] 800202 Busia, Tororo, Butaleja [District: Uganda] 800204 Jinja [District: Uganda] 800205 Kamuli, Kaliro, Buyende [District: Uganda] 800206 Kapchorwa, Bukwo, Kween [District: Uganda] 800207 Katakwi, Soroti, Kaberamaido, Amuria, Serere [District: Uganda] 800208 Kumi, Bukedea, Ngora [District: Uganda] 800209 Mbale, Sironko, Bududa, Manafwa, Bulambuli [District: Uganda] 800210 Pallisa, Budaka, Kibuku [District: Uganda] 800301 Adjumani, Moyo [District: Uganda] 800302 Apac, Oyam, Kole [District: Uganda] 800303 Arua, Yumbe, Koboko, Maracha [District: Uganda] 800304 Gulu, Amuru, Nwoya, Omoro [District: Uganda] 800305 Kitgum, Pader, Agago, Lamwo [District: Uganda] 800306 Kotido, Moroto, Nakapiripirit, Abim, Kaabong, Amudat, Napak [District: Uganda] 800307 Lira, Amolatar, Dokolo, Alebtong, Otuke [District: Uganda] 800310 Nebbi, Zombo [District: Uganda] 800401 Bundibugyo, Ntoroko [District: Uganda] 800402 Bushenyi, Mbarara, Ntungamo, Ibanda, Isingiro, Kiruhura, Buhweju, Mitooma, Rubirizi, Sheema [District: Uganda] 800403 Hoima [District: Uganda] 800404 Kabale, Rubanda [District: Uganda] 800405 Kabarole, Kamwenge, Kyenjojo, Kyegegwa [District: Uganda] 800406 Kasese [District: Uganda] 800407 Kibaale, Kagadi, Kakumiro [District: Uganda] 800408 Kisoro [District: Uganda] 800409 Masindi, Buliisa, Kiryandongo [District: Uganda] 800412 Rukungiri, Kanungu [District: Uganda] 800096 Visitor [District: Uganda] 800097 Foreign country [District: Uganda] 800098 Unknown [District: Uganda] 804001 The Autonomous Republic of Crimea [Region: Ukraine] 804005 Vinnytska oblast [Region: Ukraine] 804007 Volynska oblast [Region: Ukraine] 804012 Dnipropetrovska oblast [Region: Ukraine] 804014 Donetska oblast [Region: Ukraine] 804018 Zhytomyrska oblast [Region: Ukraine] 804021 Zakarpatska oblast [Region: Ukraine] 804023 Zaporizka oblast [Region: Ukraine] 804026 Ivano-Frankivska oblast [Region: Ukraine] 804032 Kyivska oblast [Region: Ukraine] 804035 Kirovohradska oblast [Region: Ukraine] 804044 Luhanska oblast [Region: Ukraine] 804046 Lvivska oblast [Region: Ukraine] 804048 Mykolaivska oblast [Region: Ukraine] 804051 Odeska oblast [Region: Ukraine] 804053 Poltavska oblast [Region: Ukraine] 804056 Rivnenska oblast [Region: Ukraine] 804059 Sumska oblast [Region: Ukraine] 804061 Ternopilska oblast [Region: Ukraine] 804063 Kharkivska oblast [Region: Ukraine] 804065 Khersonska oblast [Region: Ukraine] 804068 Khmelnytska oblast [Region: Ukraine] 804071 Cherkaska oblast [Region: Ukraine] 804073 Chernivetska oblast [Region: Ukraine] 804074 Chernihivska oblast [Region: Ukraine] 804080 Kyiv (independent city) [Region: Ukraine] 804085 Sevastopol (independent city) [Region: Ukraine] 804097 Foreign country [Region: Ukraine] 804098 Unknown [Region: Ukraine] 804099 NIU (not in universe) [Region: Ukraine] 858001 Montevideo [Department: Uruguay] 858002 Artigas [Department: Uruguay] 858003 Canelones [Department: Uruguay] 858004 Cerro Largo [Department: Uruguay] 858005 Colonia [Department: Uruguay] 858006 Durazno [Department: Uruguay] 858007 Flores [Department: Uruguay] 858008 Florida [Department: Uruguay] 858009 Lavalleja [Department: Uruguay] 858010 Maldonado [Department: Uruguay] 858011 Paysandú [Department: Uruguay] 858012 Río Negro [Department: Uruguay] 858013 Rivera [Department: Uruguay] 858014 Rocha [Department: Uruguay] 858015 Salto [Department: Uruguay] 858016 San Jose [Department: Uruguay] 858017 Soriano [Department: Uruguay] 858018 Tacuarembó [Department: Uruguay] 858019 Treinta Y Tres [Department: Uruguay] 858097 Abroad [Department: Uruguay] 858098 Unknown [Department: Uruguay] 858999 NIU (not in universe) [Department: Uruguay] 862001 Federal District, Vargas [State: Venezuela] 862002 Amazonas Federal Territory [State: Venezuela] 862003 Anzoátegui [State: Venezuela] 862004 Apure [State: Venezuela] 862005 Aragua [State: Venezuela] 862007 Bolívar [State: Venezuela] 862008 Carabobo [State: Venezuela] 862009 Cojedes [State: Venezuela] 862010 Amacuros Delta Federal Territory [State: Venezuela] 862011 Falcón [State: Venezuela] 862012 Guárico [State: Venezuela] 862013 Lara [State: Venezuela] 862014 Barinas, Mérida [State: Venezuela] 862015 Miranda [State: Venezuela] 862016 Monagas [State: Venezuela] 862017 Nueva Esparta, Federal Dependencies [State: Venezuela] 862018 Portuguesa [State: Venezuela] 862019 Sucre [State: Venezuela] 862020 Táchira [State: Venezuela] 862021 Trujillo [State: Venezuela] 862022 Yaracuy [State: Venezuela] 862023 Zulia [State: Venezuela] 862097 Foreign country [State: Venezuela] 862098 Unknown [State: Venezuela] 862099 NIU (not in universe) [State: Venezuela] GEOMIG1_P indicates the major administrative unit in which the person previously resided prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of previous residence, to enable comparative analysis of subnational migration. Foreign migrants are coded 097 or 997. Codes for GEOMIG1_1 match the geographic codes in GEOLEV1 (current place of residence). For similar information for different time intervals since migration, see variables GEOMIG1_1, GEOMIG1_5, and GEOMIG1_10. More on migration and geography can be found here. IPUMS Years residing in current locality 00 Less than 1 year 01 1 year (or 1 year or less) 02 2 years 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95+ years 96 Less than 5 years 97 More than 5 years 98 Unknown 99 NIU (not in universe) MIGYRS1 indicates how many years the person has resided in their current locality of residence. IPUMS County of previous residence, Romania; consistent boundaries, GIS 642001 Alba 642002 Arad 642003 Arges 642004 Bacau 642005 Bihor 642006 Bistrita Nasaud 642007 Botosani 642008 Brasov 642009 Braila 642010 Buzau 642011 Caras Severin 642012 Cluj 642013 Constanta 642014 Covasna 642015 Dambovita 642016 Dolj 642017 Galati 642018 Gorj 642019 Harghita 642020 Hunedoara 642022 Iasi 642024 Maramures 642025 Mehedinti 642026 Mures 642027 Neamt 642028 Olt 642029 Prahova 642030 Satu Mare 642031 Salaj 642032 Sibiu 642033 Suceava 642034 Teleorman 642035 Timis 642036 Tulcea 642037 Vaslui 642038 Valcea 642039 Vrancea 642043 Bucharest Sector 1 to 6 642051 Calarasi, Giurgiu, Ialomita, Ilfov 642097 Foreign country 642098 Unknown 642099 NIU (not in universe) MIG1_P_RO indicates the person's county of previous residence. Click on the Source Variables tab for information on place of residence for each sample year. Source variables may contain more geographic unit detail but are not suitable for cross-temporal comparison. IPUMS Person number (within household) Romania 1992: All persons 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 This variable indicates the person number within household. IPUMS Order number of the person in the household Romania 1992: All persons 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 This variable indicates the order number of the person in the household. IPUMS Relationship to household head <svar a="all" v="RO92A401"><span class="em">1 Relationship to the household</span><br /><div class="i1">[] 1 Head<br />[] 2 Husband (wife)<br />[] 3 Son (daughter)<br />[] 4 Son-in-law (daughter-in-law)<br />[] 5 Grandson (granddaughter)<br />[] 6 Father (mother)<br />[] 7 Grandfather (grandmother)<br />[] 8 Brother (sister)<br />[] 9 Brother-in-law (sister-in-law)<br />[] 10 Father-in-law (mother-in-law)<br />[] 11 Other relative<br />[] 20 Not a relative</div><br /></svar> Romania 1992: All persons 01 Household head 02 Husband / wife 03 Son / daughter 04 Son-in-law / daughter-in-law 05 Grandson / granddaughter 06 Father / mother 07 Grandfather / grandmother 08 Brother / sister 09 Brother-in-law / sister-in-law 10 Father-in-law / mother-in-law 11 Other relative 20 Non-related person 99 Unknown This variable indicates the relationship to the household head. IPUMS Situation at the census moment <svar a="all" v="RO92A402"><span class="em">2 Situation at the time of the census</span><br /><div class="i1">On January 7th, 1992, at 12 am, the person was:<br /><br />[] 1 Present<br /><br />Temporarily absent:<br />[] 2 In the country<br />[] 3 Abroad<br /><br />Absent for an extended period of time (over 6 months)<br />[] 4 At work<br />[] 5 At school<br />[] 6 Other reason</div><br /></svar> Romania 1992: All persons 1 Present 2 Temporally absent from the household, elsewhere in country 3 Temporally absent from the household, abroad 4 Absent for a long time- for working 5 Absent for a long time- for studies 6 Absent for a long time- other reason This variable indicates the availability status of the person at the census moment . IPUMS Person belongs to a household in other locality <svar a="all" v="RO92A403 RO92A404"><span class="em">3 Current residence</span> registered on the identity card<br /><div class="i1">[] 9000 in the enumeration locality<br /><br />In other locality, namely:<br />___ County<br />___ Municipality/town/commune _ _ _ _<br /><br />The person belongs to a household in a different locality<br />[] 1 Yes<br />[] 2 No</div><br /></svar> Romania 1992: Persons whose legal residence is not in the census enumeration locality [discrepancies: none] NIU (not in universe) 1 Yes 2 No This variable indicates whether the person belongs to a household in a different locality. IPUMS County of previous residence <svar a="all" v="RO92A405 RO92A406"><span class="em">4 Place of previous residence</span><br /><div class="i1">_ _ County<br /><br />Category of locality <br />[] 1 Municipality<br />[] 2 Commune</div><br /></svar> Romania 1992: Persons born outside county of enumeration [discrepancies: type I trace; type II none] 01 Alba 02 Arad 03 Arges 04 Bacau 05 Bihor 06 Bistrita-nasaud 07 Botosani 08 Brasov 09 Braila 10 Buzau 11 Caras-severin 12 Calarasi 13 Cluj 14 Constanta 15 Covasna 16 Dambovita 17 Dolj 18 Galati 19 Giurgiu 20 Gorj 21 Harghita 22 Hunedoara 23 Ialomita 24 Iasi 25 Maramures 26 Mehedinti 27 Mures 28 Neamt 29 Olt 30 Prahova 31 Satu mare 32 Salaj 33 Sibiu 34 Suceava 35 Teleorman 36 Timis 37 Tulcea 38 Vaslui 39 Valcea 40 Vrancea 41 Bucharest municipality 79 In another country 00 NIU (not in universe) This variable indicates the county of previous residence. IPUMS Place of previous residence <svar a="all" v="RO92A405 RO92A406"><span class="em">4 Place of previous residence</span><br /><div class="i1">_ _ County<br /><br />Category of locality <br />[] 1 Municipality<br />[] 2 Commune</div><br /></svar> Romania 1992: Persons born outside county of enumeration [discrepancies: none] 1 Municipality / town 2 Communes NIU (not in universe) This variable indicates if the place of previous residence is in a municipality/town or commune. IPUMS Year of establishing legal residence <svar a="all" v="RO92A407"><span class="em">5 Year of establishment in the locality of legal residence </span><br /><div class="i1">19 _ _</div><br /></svar> Romania 1992: Persons born outside county of enumeration [discrepancies: type I trace; type II none] 00 NIU (not in universe) 02 1902 03 1903 04 1904 05 1905 06 1906 07 1907 08 1908 09 1909 10 1910 11 1911 12 1912 13 1913 14 1914 15 1915 16 1916 17 1917 18 1918 19 1919 20 1920 21 1921 22 1922 23 1923 24 1924 25 1925 26 1926 27 1927 28 1928 29 1929 30 1930 31 1931 32 1932 33 1933 34 1934 35 1935 36 1936 37 1937 38 1938 39 1939 40 1940 41 1941 42 1942 43 1943 44 1944 45 1945 46 1946 47 1947 48 1948 49 1949 50 1950 51 1951 52 1952 53 1953 54 1954 55 1955 56 1956 57 1957 58 1958 59 1959 60 1960 61 1961 62 1962 63 1963 64 1964 65 1965 66 1966 67 1967 68 1968 69 1969 70 1970 71 1971 72 1972 73 1973 74 1974 75 1975 76 1976 77 1977 78 1978 79 1979 80 1980 81 1981 82 1982 83 1983 84 1984 85 1985 86 1986 87 1987 88 1988 89 1989 90 1990 91 1991 92 1992 99 Unknown This variable indicates the year of establishment in the legal locality of residence. IPUMS Year of establishing actual residence <svar a="all" v="RO92A408"><span class="em">6 Year of establishment in the locality of actual residence </span><br /><div class="i1">19 _ _</div><br /></svar> Romania 1992: Persons outside their census enumeration locality [discrepancies: none] 00 NIU (not in universe) 70 1970 71 1971 72 1972 73 1973 74 1974 75 1975 76 1976 77 1977 78 1978 79 1979 80 1980 81 1981 82 1982 83 1983 84 1984 85 1985 86 1986 87 1987 88 1988 89 1989 90 1990 91 1991 92 1992 99 Undeclared This variable indicates the year of establishment in the actual locality of residence. IPUMS Person number of the father <svar a="all" v="RO92A409 RO92A410 RO92A411"><span class="em">7 Order number </span> of relatives of persons enumerated in Chap. IV<br /><div class="i1">_ _ Father<br />_ _ Mother<br />_ _ Husband (wife)</div><br /></svar> Romania 1992: All persons 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 This variable indicates the person number of the father. IPUMS Person number of the mother <svar a="all" v="RO92A409 RO92A410 RO92A411"><span class="em">7 Order number </span> of relatives of persons enumerated in Chap. IV<br /><div class="i1">_ _ Father<br />_ _ Mother<br />_ _ Husband (wife)</div><br /></svar> Romania 1992: All persons 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 This variable indicates the person number of the mother. IPUMS Person number of the spouse <svar a="all" v="RO92A409 RO92A410 RO92A411"><span class="em">7 Order number </span> of relatives of persons enumerated in Chap. IV<br /><div class="i1">_ _ Father<br />_ _ Mother<br />_ _ Husband (wife)</div><br /></svar> Romania 1992: All persons 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 This variable indicates the person number of the spouse. IPUMS Sex <svar a="all" v="RO92A412"><span class="em">8 Sex</span><br /><div class="i1">[] 1 Male<br />[] 2 Female</div><br /></svar> Romania 1992: All persons 1 Male 2 Female This variable indicates the gender of the person. IPUMS Month of birth <svar a="all" v="RO92A413 RO92A414 RO92A415 RO92A434"><span class="em">9 Date of birth</span><br /><div class="i1">1 _ _ _ Year<br />_ _ Month<br />_ _ Day</div><br /></svar> Romania 1992: All persons 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 99 Unknown This variable indicates the month of birth of the person. IPUMS County or country of birth <svar a="all" v="RO92A416 RO92A417"><span class="em">10 Place of birth</span><br /><div class="i1">[] 90 Locality where the person was enumerated<br />_ _ In other locality of county (country)<br />Category of locality:<br />[] 1 Municipality/town<br />[] 2 Commune</div><br /></svar> Romania 1992: All persons 00 In the census enumeration locality 01 Alba 02 Arad 03 Arges 04 Bacau 05 Bihor 06 Bistrita-nasaud 07 Botosani 08 Brasov 09 Braila 10 Buzau 11 Caras-severin 12 Calarasi 13 Cluj 14 Constanta 15 Covasna 16 Dambovita 17 Dolj 18 Galati 19 Giurgiu 20 Gorj 21 Harghita 22 Hunedoara 23 Ialomita 24 Iasi 25 Maramures 26 Mehedinti 27 Mures 28 Neamt 29 Olt 30 Prahova 31 Satu mare 32 Salaj 33 Sibiu 34 Suceava 35 Teleorman 36 Timis 37 Tulcea 38 Vaslui 39 Valcea 40 Vrancea 41 Bucharest municipality 51 Albania 52 Austria 53 Belgium 54 Bulgaria 55 Czechoslovakia 56 Denmark 57 Switzerland 58 Finland 59 France 60 Germany 61 Greece 62 Italy 63 Yugoslavia 64 Norway 65 Netherlands 66 Poland 67 Portugal 68 United Kingdom 69 Spain 70 Sweden 71 Hungary 72 Moldavian republic 73 Ukraine republic 74 Other USSR republics 75 Other European countries 76 Countries from other continents 99 Undeclared This variable indicates the place of birth of a person. IPUMS Place of birth in other locality <svar a="all" v="RO92A416 RO92A417"><span class="em">10 Place of birth</span><br /><div class="i1">[] 90 Locality where the person was enumerated<br />_ _ In other locality of county (country)<br />Category of locality:<br />[] 1 Municipality/town<br />[] 2 Commune</div><br /></svar> Romania 1992: Persons not in the census enumeration locality, but within the country [discrepancies: none] NIU (not in universe) 1 Municipality / town 2 Commune This variable indicates the place of birth in other locality. IPUMS Marital status <svar a="all" v="RO92A418"><span class="em">11 Marital status of the person</span><br /><div class="i1">[] 1 Unmarried<br />[] 2 Married<br />[] 3 Widowed<br />[] 4 Divorced</div><br /></svar> Romania 1992: All persons 1 Single 2 Married 3 Widowed 4 Divorced 9 Not reported This variable indicates the legal marital status of a person. IPUMS Ethnicity <svar a="all" v="RO92A420"><span class="em">15 Nationality</span><br /><div class="i1">[] 10 Romanian<br />_ _ Other nationality, specify ____</div><br /></svar> Romania 1992: All persons 10 Romanian 11 Hungarian 12 Gypsy 13 German 14 Ukrainian 15 Serbian 16 Turk 17 Tartar 18 Slovakian 19 Jewish 20 Russian 21 Lipovan 22 Bulgarian 23 Czech 24 Croat 25 Greek 26 Polish 27 Armenian 28 Slovenian 29 Saxon 30 Swabian 31 Macedoromanian 32 Aromanian 33 Szekler 34 Ruthenian (Rusyn) 35 Csango 36 Gagauzi 37 Carasoveni 39 Other ethnic group from Europe 40 Other ethnic group from other continents 99 Undeclared This variable indicates the ethnicity of a person. IPUMS Mother tongue <svar a="all" v="RO92A421"><span class="em">16 Mother tongue</span><br /><div class="i1">[] 10 Romanian<br />_ _ Other mother tongue, specify ____</div><br /></svar> Romania 1992: All persons 10 Romanian 11 Hungarian 12 Gypsy 13 German 14 Ukrainian 15 Serbian 16 Turkish 17 Tartar 18 Slovakian 19 Yiddish 20 Russian 21 Lipovenian 22 Bulgarian 23 Czech 25 Greek 26 Polish 27 Armenian 28 Slovenian 29 Saxonian 30 Swabian 31 Macedoromanian 32 Aromanian 33 Szekler 34 Ruthenian 36 Gagauza 39 Other from Europe 40 From other continents 99 Undeclared This variable indicates the mother tongue of a person. IPUMS Religion <svar a="all" v="RO92A422"><span class="em">17 Religion</span><br /><div class="i1">[] 10 Orthodox<br />_ _ Other religion (faith), specify ____</div><br /></svar> Romania 1992: All persons 10 Orthodox 11 Roman Catholic 12 Greek Catholic 13 Reformed Church 14 Unitarian 15 Evangelic of Augustan Confession 16 Evangelic Synodo-Presbyterian 17 Christian of Old Rite 18 Baptist 19 Penticostal 20 Seventh-day Adventist 21 Christian by Gospel 22 Armenian 23 Muslim 24 Jewish 25 Others 26 Atheists 27 Without religion 28 Orthodox church of old style 99 Undeclared This variable indicates the religion of a person. IPUMS Highest level of schooling completed <svar a="all" v="RO92A423 RO92A424"><span class="em">18 Level of education</span><br /><div class="i1">Name and type of the:<br /><br />_ _ Highest level of school completed (for persons born before 1981) ___<br />_ _ Level currently attending (for persons born after 1986) ___</div><br /></svar> Romania 1992: Persons born before 1981 [discrepancies: type I 0.5% ; type II none] 00 NIU (not in universe) 01 Mining 02 Petroleum and geology 03 Electric power and electrotechnics 04 Metallurgy 05 Electrical profile 06 Electromechanical profile 07 Mechanical and other technical profiles 08 Chemical technology 09 Wood and building materials industry 10 Light industry 11 Food industry 12 Construction and survey 13 Architecture and town planning 14 Agriculture 15 Zootechnical 16 Veterinary medicine 17 Silviculture 18 Transport 19 Telecommunication 20 Other technical specializations 21 Chemistry, physics 22 Mathematics, informatics 23 Biology, geography, history, philosophy 24 Philology, journalism 25 Sociology, pshychology 26 Economic education 27 Juridical education 28 Pharmaceutical 29 General medicine 30 Stomatology 31 Fine and decorative art 32 Music 33 Drama, cinematography, television 34 Physical education and sport 35 Pedagogy 36 Theology 37 Other third level institutions 50 Industry 51 construction and architecture 52 Agriculture 53 Silviculture 54 Transport and telecommunications 55 Other 56 Post-secondary with profile: informatics 57 Post-secondary with profile: economic, administrative, trade, co-operation and services 58 Post-secondary with profile: pedagogy 59 Post-secondary with profile: sanitary 60 Post-secondary with profile: artistic, physical education and sport 61 Post-secondary theological seminaries 62 Theoretical profiles 63 Real and humanistic profile 64 General culture medium schools 65 Other 66 Industry (including metrology) 67 Architecture and constructions 68 Agriculture 69 Silviculture 70 Pisciculture 71 Transport and telecommunications 72 Other 73 Informatics 74 Economic 75 Pedagogy 76 Sanitary 77 Art (fine arts, music and choreography) 78 Sports 79 Theological profile 80 Other vocational profiles 81 Industry 82 Constructions 83 Agriculture 84 Silviculture 85 Transport and telecommunications 86 Economic, administrative, co-operation and services vocational schools 87 Sanitary vocational schools 88 Art vocational schools 89 Other vocational schools 90 First stage of real and humanistic lyceums 91 General 92 Vocational 93 Special 94 Primary schools 95 Literacy courses 96 Reads and writes 97 Read only 98 Does not know how to read or write 99 Unknown This variable indicates the highest level of education completed and the type of educational institution for all the persons born before 1981. IPUMS Level of educational institution attended <svar a="all" v="RO92A423 RO92A424"><span class="em">18 Level of education</span><br /><div class="i1">Name and type of the:<br /><br />_ _ Highest level of school completed (for persons born before 1981) ___<br />_ _ Level currently attending (for persons born after 1986) ___</div><br /></svar> Romania 1992: Persons born before 1986 who were attending school [not verifiable] 00 NIU (not in universe) 01 Mining 02 Petroleum and geology 03 Electric power and electrotechnics 04 Metallurgy 05 Electrical profile 06 Electromechanical profile 07 Mechanical and other technical profiles 08 Chemical technology 09 Wood and building materials industry 10 Light industry 11 Food industry 12 Construction and survey 13 Architecture and town planning 14 Agriculture 15 Zootechnical 16 Veterinary medicine 17 Silviculture 18 Transport 19 Telecommunication 20 Other technical specializations 21 Chemistry, physics 22 Mathematics, informatics 23 Biology, geography, history, philosophy 24 Philology, journalism 25 Sociology, pshychology 26 Economic education 27 Juridical education 28 Pharmaceutical 29 General medicine 30 Stomatology 31 Fine and decorative art 32 Music 33 Drama, cinematography, television 34 Physical education and sport 35 Pedagogy 36 Theology 37 Other third level institutions 38 Undocumented 39 Undocumented 40 Undocumented 41 Undocumented 42 Undocumented 43 Undocumented 44 Undocumented 45 Undocumented 46 Undocumented 47 Undocumented 48 Undocumented 49 Undocumented 50 Industry 51 Construction and architecture 52 Agriculture 53 Silviculture 54 Transport and telecommunications 55 Other 56 Post high schools with profile: informatics 57 Post high schools with profile: economic, administrative, trade, co-operation and services 58 Post high schools with profile: pedagogy 59 Post high schools with profile: sanitary 60 Post high schools with profile: artistic, physical education and sport 61 Post high schools theological seminaries 62 Teoretical profiles 63 Real and humanistic profile 64 General culture medium schools 65 Other 66 Industry (including metrology) 67 Architecture and constructions 68 Agriculture 69 Silviculture 70 Pisciculture 71 Transport and telecommunications 72 Other 73 Informatics 74 Economic 75 Pedagogy 76 Sanitary 77 Art (fine arts, music and choreography) 78 Sports 79 Theological profile 80 Other vocational profiles 81 Industry 82 Constructions 83 Agriculture 84 Silviculture 85 Transport and telecommunications 86 Economic, administrative, co-operation and services vocational schools 87 Sanitary vocational schools 88 Art vocational schools 89 Other vocational schools 91 General 92 Vocational 93 Special 94 Primary schools This variable indicates the highest level attained and the type of educational institution for all persons born before 1986. IPUMS Economic status in reference week <svar a="all" v="RO92A425"><span class="em">19 Economic condition of the person</span><br /><div class="i1">[] 1 Employed<br /><br />Looking for:<br />[] 2 Another job<br />[] 3 First job<br /><br />[] 4 Pupil-student<br />[] 5 Pensioner<br />[] 6 Home-maker<br />[] 7 Supported by another person (pre-school child, old person, etc.)<br />[] 8 Supported by the state<br />[] 9 Other situation (with income from rents, interest, other sources)</div><br /></svar> Romania 1992: All persons 1 Employed 2 Unemployed- seeking another job 3 Unemployed- seeking for the first time 4 Pupil/student 5 Retired 6 Homemaker 7 Dependent 8 Receiving public aid or private organizations support 9 Other status This variable indicates the economic status of a person. IPUMS Year of first marriage <svar a="all" v="RO92A426"><span class="em">12 Year of marriage</span><br /><div class="i1">(Only for married women in their first marriage)<br /><br />19 _ _</div><br /></svar> Romania 1992: Females born before 1977 in their first marriage [discrepancies: none] 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 9998 Undeclared 9999 NIU (not in universe) This variable indicates the year of marriage at the first marriage. IPUMS Number of children born alive <svar a="all" v="RO92A427"><span class="em">13 Total number of children born alive</span><br /><div class="i1">(Only for women born before 1978)<br /><br />_ _</div><br /></svar> Romania 1992: Females born before 1978 [discrepancies: type I trace; type II none] 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 98 Undeclared 99 NIU (not in universe) This variable indicates the number of children born alive to a woman. IPUMS Occupation, 1 digit <svar v="RO92A428 RO92A429 RO92A430 RO92A431 RO92A432"><span class="em">Questions 20-23 are to be completed only by persons who answered 1 or 2 to question 19. For persons looking for another job, the last occupation should be registered</span><br /></svar></p> <p><svar a="all" v="RO92A428 RO92A429"><span class="em">20 Occupation</span><br /><div class="i1">(Profession or activity currently performed)<br /><br />___ _ _ _</div><br /></svar> Romania 1992: Persons who are employed or seeking work not for the first time [discrepancies: none] 00 Armed forces 01 Legislators, senior officials and managers 02 Professionals 03 Technicians and related occupations 04 Clerks 05 Service workers and shop and market sales workers 06 Skilled agricultural, forestry and fishery workers 07 Craft workers 08 Plant and machine operators and assemblers 09 Elementary occupations 99 NIU (not in universe) This variable indicates the occupation on current activity (1 digit). IPUMS Occupation <svar v="RO92A428 RO92A429 RO92A430 RO92A431 RO92A432"><span class="em">Questions 20-23 are to be completed only by persons who answered 1 or 2 to question 19. For persons looking for another job, the last occupation should be registered</span><br /></svar></p> <p><svar a="all" v="RO92A428 RO92A429"><span class="em">20 Occupation</span><br /><div class="i1">(Profession or activity currently performed)<br /><br />___ _ _ _</div><br /></svar> Romania 1992: Persons who are employed or seeking work not for the first time [discrepancies: none] 001 Armed forces 101 Legislators and senior government officials 102 Public administration senior officials 103 Mayors and other communes officials 104 Senior officials of political-party organisations 105 Senior officials of employers', workers' and other economic-interest organisations 106 Senior officials of humanitarian and other special-interest organisations 107 Corporate managers 108 Production and operations managers in agriculture, forestry, hunting, pisciculture and fishing 109 Production and operations managers in mining, quarrying and manufacturing 110 Production and operations managers in constructions 111 Production and operations managers in wholesale and retail trade 112 Production and operations managers in hotels and restaurants 113 Production and operations managers in transport and communications 114 Production and operations managers in business services 115 Production and operations managers in personal care, cleaning and related services 116 Production and operations managers in other production and social services activities 117 Finance and administration managers 118 Personnel and work relations managers 119 Sales and marketing managers 120 Advertising and public relations managers 121 Supply and distribution managers 122 Computing services managers 123 Research and development managers 124 Other specialist managers in non-lucrative activities and services 125 Small business managers in agriculture, forestry, hunting, pisciculture and fishing 126 Small business managers in mining, quarrying and manufacturing 127 Small business managers in constructions 128 Small business managers in wholesale and retail trade 129 Small business managers in hotels and restaurants 130 Small business managers in transport and communications 131 Small business managers in business services 132 Small business managers in personal care, cleaning and related services 133 Other small business managers 201 Physicists and astronomers 202 Meteorologists 203 Chemists 204 Geologists and geophysicists 205 Mathematicians and related professionals 206 Statisticians 207 Computer analysts 208 Computer programmers 209 Other computing professionals 210 Architects, town and traffic planners 211 Civil engineers 212 Energetics and electrical engineers 213 Electronics, transport and telecommunications engineers 214 Mechanical engineers 215 Oil and chemical engineers 216 Mining engineers 217 Metallurgy engineers 218 Textile and food industry engineers 219 Biologists, botanists, zoologists and related professionals 220 Bacteriologists, pharmacologists and related professionals 221 Agronomist engineers, zoo technicians and forestry engineers 222 Medical doctors and child doctors 223 Dentists 224 Veterinarians 226 Pharmacists 229 College, university and higher education teaching professionals 230 High-school, post-high school, vocational and foremen education teaching professionals 231 Gymnasium education teaching professionals 234 Special education teaching professionals 235 Education methods specialists 236 School inspectors 237 Other teaching professionals 238 Financial-banking system professionals 239 Personnel and personnel training professionals 240 Other business professionals 241 Lawyers 242 Judges 243 Other legal professionals 244 Archivists and curators 245 Librarians and related information professionals 246 Economists (exclusive statisticians and financial-banking system professionals) 247 Sociologists, anthropologists and related professionals 248 Philosophers, historians and political scientists 249 Linguists, translators and interpreters 250 Psychologists 251 Social work professionals 252 Writers, journalists and related writers 253 Sculptors, painters and related artists 254 Composers, musicians and singers 255 Choreographers and dancers 256 Film, stage and related actors and directors 257 Religious professionals 261 Cartographers, surveyors and topographist engineers 262 Other architects, engineers and related professionals 266 Physicist researchers 268 Chemist researchers 269 Geologist and geophysicist researchers 270 Mathematical sciences researchers 271 Architect researchers and designers 272 Civil engineer researchers and designers 273 Energetics and electrical engineer researchers and designers 274 Electronics, transport and telecommunications engineer researchers and designers 275 Mechanical engineer researchers and designers 276 Oil and chemical engineer researchers and designers 277 Mining engineer researchers and designers 278 Metallurgy engineer researchers and designers 279 Textile and food industry engineer researchers and designers 280 surveyor engineer researchers and designers 281 Other engineer researchers and designers 282 Biologist researchers 283 Biochemist researchers 284 Agronomist, horticulturist, zoo technician and forestry engineers researchers 285 Medical doctor and child doctor researchers 287 Veterinarian researchers 288 Pharmacist researchers 290 Economist researchers 291 Sociologist and geographer researchers 292 Philosopher and historian researchers 293 Philologist researchers 301 Chemical and physical science technicians 302 Civil engineering technicians 303 Energetics and electrical engineering technicians 304 Electronics, transport and telecommunications engineering technicians 305 Mechanical engineering technicians 306 Oil and chemical engineering technicians 307 Mining technicians 308 Metallurgical technicians 309 Textile and food industry technicians 310 Assistant computer analysts and programmers and related occupations 311 Computing equipment operator-technicians 312 Industrial robots operator-technicians 313 Photographers and image and sound recording equipment operators 314 Broadcasting and telecommunications equipment technicians 315 Electro-medical equipment technicians 316 Other optical and electronic equipment technicians 317 Ships' mechanic officers 318 Ships' deck officers and pilots 319 Aircraft pilots and related occupations 320 Air traffic controllers 321 Air traffic safety technicians 322 Fire safety building inspectors 323 Work protection and hygiene and quality inspectors 324 Biology technicians 325 Agriculture and silviculture research technicians 326 Agronomy, forestry technicians and zoo technicians in production units 327 Medical assistants 328 Hygienists 329 Dietician and nutritionist assistants 330 Optometrists and opticians 331 Dental technicians 332 Physiotherapists and related occupations 333 Veterinary assistants and technicians 334 Pharmaceutical assistants 335 Other health technicians 336 Midwifes 337 Nursing and laboratory-assistants 338 Traditional medicine practicians 339 Hypnosis - autosuggestion practicians 340 Primary education teaching professionals 341 Pre-primary education teaching professionals 342 Undocumented 343 Other education teaching professionals 344 Securities and finance dealers and brokers 345 Insurance agents 346 Estate agents 347 Travel agents 348 Technical and commercial sales representatives 349 Buyers 350 Appraisers, valuers and auctioneers 351 Others finance and sales intermediaries 352 Trade brokers 353 Concession agents 354 Employment agents and labour contractors 355 Other business services agents and trade brokers 356 Administrative secretaries and related associate professionals 357 Legal and related business associate professionals 358 Bookkeepers 359 Administrative and financial administration statisticians 360 Other financial administration professionals 361 Customs and border inspectors 362 Government tax and excise officials 363 Government social benefits officials 365 Other financial agents 366 Police inspectors 367 Detectives 368 Decorators, designers and artistic drawers 369 Radio, television and shows announcers 370 Occasional and public clubs musicians, singers and dancers 371 Clowns, magicians, acrobats and related occupations 372 Athletes, sportspersons and related occupations 373 Religious non-clerical personnel 374 Draughtspersons 375 Other physical, chemical and engineering sciences technicians and related occupations 376 Social work associate professionals 381 Physical and chemical sciences assistant technicians 382 Civil engineering assistant technicians 383 Energetics and electrical engineering assistant technicians 384 Electronics, transport and telecommunications engineering assistant technicians 385 Mechanical engineering assistant technicians 386 Oil and chemical engineering assistant technicians 387 Mining assistant technicians 388 Metallurgical assistant technicians 389 Textile and food industry assistant technicians 390 Draughtsperson assistants 391 Other physical, chemical and engineering sciences assistant technicians 401 Stenographers and typists 402 Word-processor and related operators 403 Data entry operators 404 Computing-machine operators 405 Secretaries 406 Accounting and bookkeeping clerks 407 Finance clerks 408 Stock clerks 409 Production clerks 410 Transport clerks 411 Library and archivist clerks 412 Mail carriers and other mail clerks 413 Coding, proof-reading and related clerks 414 Scribes and related workers 415 Other office clerks 416 Cashiers and ticket clerks 417 Tellers and other counter clerks 418 Bookmakers and croupiers 419 Pawnbrokers and money-lenders 420 Debt-collectors and related workers 421 Travel agency and related clerks 422 Receptionists and information clerks 423 Telephone switchboard operators 501 Travel attendants and travel stewards 502 Transport conductors 503 Guides 504 Housekeeping 505 Cooks 506 Waiters, waitresses and bartenders 507 Child-care workers 508 Institution-based personal care workers 509 Home-based personal care workers 510 Other personal care and related workers 511 Hairdressers, barbers, beauticians and related workers 512 Companions and valets 513 Undertakers and embalmers 514 Other personal services workers 517 Fire-fighters 519 Prison guards 520 Other protective services workers 521 Fashion and other models 522 Shop salespersons and administrators 523 Market and kiosk salespersons 601 Field crop and vegetable skilled farmers and workers 602 Trees skilled growers 603 Horticultural skilled farmers and workers 604 Mixed cultures farmers 605 Cattle and other dairy and meat domestic animals breeding and nursing 606 Poultry breeder 607 Beekeepers and silk worm breeders 608 Other animals breeders 609 Other skilled workers in animal breeding 610 Mixed cultures farmers, skilled workers and animal breeders in public farms, agricultural associations and PRIVATE EMPLOYEES 611 Silviculture and forestry workers 612 Charcoal burners and related workers 613 Aquatic-life cultivation workers 614 Inland and coastal waters fishery workers 615 Ocean and sea fishery workers 616 Hunters 617 Individual field crop and vegetable growers 618 Individual trees and wine growers 619 Individual horticultors workers 620 Individual animal breeders 621 Individual beekeepers and silk worm breeders 622 Individual mixed culture agricultural workers and animal breeders 623 Individual fishery workers 701 Miners and quarry workers 702 Shotfirers and blasters 703 Stone splitters, cutters and carvers 704 Traditional techniques and materials builders craft workers 705 Bricklayers 706 Concrete builders and related workers 707 Carpenters 708 Other builders craft workers 709 Roofers 710 Floor layers, faiencers and tile setters 711 Plasterers 712 Insulation workers 713 Glaziers 714 Plumbers and pipe fitters 715 Building and related electricians 716 Painters and paper hangers 717 Varnishers and related painters 718 Building structure cleaners and chimney sweeps 719 Metal moulders and coremakers 720 Welders and flamecutters 721 Tinkers-boiler makers 722 Structural-metal builders and setters 723 Elevation and transport installations setting and maintaining workers 724 Divers and other underwater workers 725 Forge, puncher and press workers 726 Tool-makers 727 Splinters machine-tool setters and setter-operators 728 Metal wheel-grinders, polishers and tool sharpeners 729 Motor vehicle mechanics and fitters 730 Aircraft engine mechanics and fitters 731 Agricultural- or industrial-machinery mechanics and fitters 732 Electrical and energetical mechanics and fitters 733 Electronics mechanics and fitters 734 Electronics repairers 735 Telegraphic and telephone installations electrical installers and repairers 736 Air and underground electrical cable electricians installers and repairers 737 Precision-instrument makers and repairers 738 Musical instrument makers and tuners 739 Jewellery and other metal precision workers and other materials workers 740 Abrasive wheel formers and potters 741 Glass makers, cutters, grinders and finishers 742 Glass engravers 743 Glass, ceramics and related decorative painters 744 Handicraft workers in wood and related materials 745 Handicraft workers in textile, leather and related materials 746 Compositors and linotypers 747 Stereotypers and electrotypers 748 Printing and photo engravers 749 Photographic and related workers 750 Bookbinders and related workers 751 Silk-screen, wood and textile printers 752 Butchers, fishmongers and related food preparers 753 Bakers, pastry-cooks and confectionery makers 754 Dairy-products makers 755 Fruit, vegetable and related preservers 756 Food and beverage tasters and graders 757 Tobacco preparers and tobacco products makers 758 Wood treaters 759 Carpenters and related workers 760 Wood manufacturing craftsmen 761 Basketry weavers, brush makers and related workers 762 Fibre preparers 763 Weavers and knitters 764 Tailors and hatters 765 Furriers and related workers 766 Textile and leather pattern-makers and cutters 767 Sewers, embroiderers and related workers 768 Upholsterers and related workers 769 Leather dressers and tanners 770 Shoe-makers and related workers 801 Mining-plant operators 802 Mineral-ore- and stone-processing-plant operators 803 Crude petroleum well drillers and borers 804 Ore and metal furnace operators 805 Metal melters, casters and rolling-mill operators 806 Metal-heat-treating-plant operators 807 Metal drawers and extruders 808 Glass and ceramics kiln and related machine operators 809 Other glass, ceramics plant operators 810 Wood-processing-plant operators 811 Paper-pulp plant operators 812 Papermaking-plant operators 813 Crushing-, grinding- and chemical-mixing-machinery operators 814 Chemical-heat-treating-plant operators 815 Chemical-filtering- and separating-equipment operators 816 Chemical-still and reactor operators (except petroleum and natural gas) 817 Petroleum- and natural-gas-refining-plant operators 818 Other chemical-processing-plant operators 819 Power-production plant operators 820 Steam-engine and boiler operators 821 Other power-production operators 822 Automatical line-assembly operators 823 Industrial-robot operators 824 Machine-tool operators 825 Construction materials and other mineral products machine operators 826 Pharmaceutical- and toiletry-products machine operators 827 Ammunition- and explosive-products machine operators 828 Metal finishing-, plating- and coating-machine operators 829 Photographic-products machine operators 830 Other chemical-products machine operators 831 Rubber-products machine operators (tyres and vulcanizing equipments) 832 Other rubber-products and plastic-products machine operators 833 Wood-products machine operators 834 Printing-machine operators 835 Bookbinding-machine operators 836 Paper-products machine operators 837 Fibre-preparing-, spinning- and winding-machine operators 838 Weaving- and knitting-machine operators 839 Sewing-machine operators 840 Bleaching-, dyeing- and cleaning-machine operators 841 Fur- and leather-preparing-machine operators 842 Shoemaking- and related machine operators 843 Other textile-, fur- and leather-products machine operators 844 Meat- and fish-processing-machine operators 845 Dairy-products machine operators 846 Grain- and spice-milling-machine operators 847 Baked-goods, cereal and chocolate-products machine operators 848 Fruit-, vegetable- and nut-processing-machine operators 849 Sugar production machine operators 850 Tea-, coffee-, and cocoa-processing-machine operators 851 Brewers, wine and other beverage machine operators 852 Tobacco production machine operators 853 Metallic-construction fitters 854 Electrical-equipment fitters 855 Electronic-equipment assemblers 856 Metal-, rubber- and plastic-products assemblers 857 Wood and related products assemblers 858 Paperboard, textile and related products assemblers 859 Other machine operators 860 Locomotive-engine drivers 861 Railway brakers, signallers, shunters and other related occupations 862 Motor-cycle drivers 863 Car and van drivers 864 Bus and tram drivers 865 Heavy-truck and lorry drivers 866 Motorised farm and forestry plant operators 867 Earth-moving- plant operators 868 Crane, hoist and related plant operators 869 Palette-transportation plant operators 870 Ships' deck crews and related workers 901 Food products street vendors 902 Other products than food products street vendors 903 Door-to-door and by phone vendors 904 Shoe cleaning and other street services elementary occupations 905 Domestic helpers 906 Offices, hotels cleaners and other helpers 907 Launderers and pressers 908 Building caretakers 909 Vehicle and window cleaners 910 Package and luggage porters and deliverers 911 Doorkeepers, watchpersons and related workers 912 Money collectors, meter readers 913 Garbage collectors 914 Other public service elementary occupations 915 Agricultural labourers 916 Silvicultural labourers 917 Fishery and hunting labourers 918 Mining and quarrying labourers 919 Construction and maintenance labourers: roads and dams 920 Building construction labourers 921 Operator's helpers for products assembly 922 Products packing labourers 923 Push-cart and pedal means of transportation labourers 924 Carters (animal drive vehicles) 925 Goods drivers 980 Non-identifiable occupations 998 Unknown 999 NIU (not in universe) This variable indicates the occupation on current activity (3 digit). IPUMS Class of worker <svar v="RO92A428 RO92A429 RO92A430 RO92A431 RO92A432"><span class="em">Questions 20-23 are to be completed only by persons who answered 1 or 2 to question 19. For persons looking for another job, the last occupation should be registered</span><br /></svar></p> <p><svar a="all" v="RO92A430"><span class="em">21 Professional status</span><br /><div class="i1">[] 1 Employer<br />[] 2 Own account<br />[] 3 Worker<br />[] 4 Employee<br />[] 5 Member of cooperative association<br />[] 6 Unpaid family worker<br />[] 7 Other situation</div><br /></svar> Romania 1992: Persons who are employed or seeking work not for the first time [discrepancies: none] 1 Employer 2 Own-account worker 3 Employee 4 Member of producer's co-operatives 5 Contributing family worker to own household (unpaid) 6 Other situation NIU (not in universe) This variable indicates the status in employment. IPUMS Industry <svar v="RO92A428 RO92A429 RO92A430 RO92A431 RO92A432"><span class="em">Questions 20-23 are to be completed only by persons who answered 1 or 2 to question 19. For persons looking for another job, the last occupation should be registered</span><br /></svar></p> <p><svar a="all" v="RO92A431"><span class="em">22 Work place</span><br /><div class="i1">____ Full name of unit<br />____ Main activity of the work place _ _</div><br /></svar> Romania 1992: Persons who are employed or seeking work not for the first time [discrepancies: none] 00 NIU (not in universe) 01 Vegetal culture 02 Animal breeding 03 Agricultural mixed activities 04 Related auxiliary services 05 Silviculture 06 Forestry 07 Hunting 08 Pisciculture and fishing 09 Mining and preparation of coal 10 Extraction of crude petroleum and natural gas 11 Mining of uranium and thorium ores 12 Mining and preparation of ferrous ores 13 Mining and preparation of non-ferrous and rare ores 14 Mining of ores for construction materials production 15 Mining of salt 16 Mining of non-metalliferous ores 17 Production and manufacture of meat, fish, vegetables, fruits, oils and fats 18 Manufacture of dairy products 19 Milling, starch and concentrated fodders industry 20 Baking, sugar and other food products industry 21 Manufacture of alcoholic and nonalcoholic drinks 22 Tobacco and tobacco products industry 23 Textile and knitwear industry 24 Textile, furs and leather wearing apparel industry 25 Leather goods and footwear industry 26 Wood working (except furniture) industry 27 Pulp, paper and paper products industry 28 Polygraphy and publishing activity 29 Chemical coking industry 30 Manufacture of petroleum and nuclear fuel 31 Basic chemical products, fertilizers and plastic products industry 32 Paints, varnishes and other chemical products industry 33 Medicines and pharmaceutical products industry 34 Detergents, soaps and cosmetics industry 35 Chemical fibres and yarns industry 36 Rubber and plastic products industry 37 Glass and glass products industry 38 Ceramic, cement and other construction materials industry 39 Abrasive products, coal and graphite industry 40 Ferrous metallurgic industry 41 Non-ferrous metallurgic industry 42 Metallic constructions and metal products industry 43 Machinery, outfits and equipments industry. 44 Household machinery and appliances production 45 Bureautics and computing machinery and equipments industry 46 Electrotechnical industry 47 Electronic industry 48 Medical, precision and optical apparatus and instruments industry 49 Motor vehicles industry 50 Motor vehicles repair and maintenance 51 Sea and river ships construction 52 Railway transport means production 53 Aeronautic industry 54 Other transport means production and repair 55 Furniture production 56 Manufacture of musical instruments, sport articles, toys and other industrial activities 57 Recycling activity 58 Production and distribution of electric and thermal energy 59 Production and distribution of gas 60 Collection, purification and distribution of water 61 Construction 62 Motor vehicles, motorcycles and fuel trade 63 Goods wholesale trade 64 Goods retail trade 65 Hotel activity 66 Public catering activity 67 Railway transport 68 Motor transport and other land transport types 69 Transport via pipelines 70 Sea and river transport 71 Air transport 72 Rendered transport auxiliary services 73 Post, radio and telecommunications 74 Credit, financing, saving and other banking operations 75 Goods and persons insurances, pension offices 76 Real estate selling, buying and renting and other goods renting 77 Scientific research and technological development 78 Geological research and prospects 79 Architecture and design 80 Informatics and related activities 81 Economic agents rendered activities and services 82 National and local public administration 83 Foreign affairs, public order and justice 84 Compulsory social security 85 Pre-school and primary education 86 Secondary education 87 Tertiary and post-tertiary education 88 Health and social work 89 Sanitar-veterinary services 90 Associative activities (professional, politic, religious, diverse) 91 Cultural and artistical activities (theatre, cinema, radio, television) 92 Libraries, museums and other recreational units activities 93 Sport 94 Tourism 95 Sewage and refuse disposal 96 Population rendered services 97 Domestic personnel activity 98 International organizations activities within the country 99 Other activities and diverse services and unidentified activity This variable indicates the main activity of the workplace. IPUMS Ownership structure of workplace <svar v="RO92A428 RO92A429 RO92A430 RO92A431 RO92A432"><span class="em">Questions 20-23 are to be completed only by persons who answered 1 or 2 to question 19. For persons looking for another job, the last occupation should be registered</span><br /></svar></p> <p><svar a="all" v="RO92A432"><span class="em">23 Sector where the work place is registered</span><br /><div class="i1">[] 1 Public<br />[] 2 Private individual<br />[] 3 Private association<br />[] 4 Mixed (public and private)<br />[] 5 Cooperative<br />[] 6 Other sector</div><br /></svar> Romania 1992: Persons who are employed or seeking work not for the first time [discrepancies: none] 1 Public (state) 2 Private individual 3 Private association 4 Mixed (public and private) 5 Co-operative 6 Other situation NIU (not in universe) This variable indicates the ownership structure of working place. IPUMS Tenure status of the household in dwelling <svar a="all" v="RO92A433"><span class="em">Ownership status</span><br /><div class="i1">[] 1 Owner<br />[] 2 Tenant<br />[] 3 Other situation</div><br /></svar> Romania 1992: Household heads [discrepancies: type I trace; type II none] 1 Owner 2 Tenant to the state 3 Other NIU (not in universe) This variable indicates the tenure status of the household in the dwelling. IPUMS Number of the family nucleus Romania 1992: All persons 00 Person without any family nucleus 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 This variable indicates the number of family nuclei. IPUMS Type of the family nucleus Romania 1992: All persons 1 Married couple with children 2 Married couple without children 3 Mother with children 4 Father with children 5 Person without any family nucleus This variable indicates the type of family nucleus. IPUMS Relationship to the nucleus head Romania 1992: All persons Person without any family nucleus 1 Nucleus head (male) 2 Wife 3 Child This variable indicates the relationship with the nucleus head. IPUMS