DDI_POL_2002_PHC_v01_M_v7.5_A_IPUMS National Census of Population and Housing in 2002 IPUMS May 21, 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. National Census of Population and Housing in 2002 - IPUMS Subset PHC Poland 2002 (IPUMS Harmonized Subset) POL_2002_PHC_v01_M_v7.5_A_IPUMS Central Statistical Office of Poland IPUMS (c) Copyright 2002, Central Statistical Office of Poland and Minnesota Population Center MetadataEditor Central Statistical Office of Poland 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 Dwelling Characteristics Variables -- HOUSEHOLD Geography: Global Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Disability Variables -- PERSON Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Utilities Variables -- HOUSEHOLD Geography: O-Z Variables -- HOUSEHOLD Migration: Global Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Income Variables -- PERSON Ethnicity and Language Variables -- PERSON Migration: O-Z Variables -- PERSON Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Technical Person Variables -- PERSON Technical Household Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Geography: O-Z Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Other Person Variables -- PERSON Demographic Variables -- PERSON Education Variables -- PERSON Disability Variables -- PERSON Nativity and Birthplace Variables -- PERSON Ethnicity and Language Variables -- PERSON Ethnicity and Language Variables -- PERSON Other Person Variables -- PERSON Migration: Global Variables -- PERSON Work Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON Income Variables -- PERSON Demographic Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Poland Voivodeship Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: no - Households: yes - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: A dwelling is premises comprising one or several rooms, including auxiliary rooms, built or remodelled for residential purposes, strucutrally separated (by fixed walls) within a building into which a separate entrance leads from a staircases, a passage, a common hall or directly from the street, courtyard, or garden. - Households: Group of persons (related or not) who live together and share living costs. - Group quarters: Collective housing is a set of rooms (living rooms and auxiliary roomes) located in one or more buildings belonging to one instiution providing care, hotel or other service. In some collective housing people may live for longer time (from several months to several years) or for good e.g. dormitories, boarding schools, orphanages, care houses, monasteries etc. In some colective housing, people stay shorter time e.g. hotels, hospitals, spas. All persons residing permanently or temporariliy on the census day, including foreigners. Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Poland 2002 MICRODATA SOURCE: Central Statistical Office of Poland SAMPLE SIZE (person records): 3824056. SAMPLE DESIGN: Systematic; every tenth private household after a random start. Additionally every 10th individual in collective housing in the household. Face-to-face [f2f] A- population and housing. M- Migration. D- Fertility sample survey of women aged 16 and older. de jure, CENSUS DAY: May 20/21, 2002 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. Central Statistical Office of Poland 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: Poland, Central Statistical Office of Poland. National Census of Population and Housing in 2002 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. POL2002_PHC-H-H Household records 1 109 POL2002_PHC-P-H Person records 3824056 135 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 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 Group quarters type 100 Institutional 110 Prisons, reformatories, or correctional institutions 120 Hospital, nursing home, hospice, or instutions for persons with disabilities 121 Institutions for persons with disabilities 122 Sanatorium or mental institutions 130 Homes for the elderly or orphanage 131 Retirement home 132 Orphanage, children's home 140 Shelter for homeless, youth, or others 150 Military or police institution 160 Boarding school or student housing 170 Religious institution, monastery, seminary, or convent 199 Other institutional n.e.c. 200 Non-institutional 210 Camps (refugees, workers, or others) 220 Hotel, pension, lodging, or boarding house 230 Floating population 299 Other non-institutional n.e.c. 300 Other group quarters 399 1-person unit created by splitting large household 998 Unknown 999 NIU (not in universe) GQTYPE identifies the type of group quarters -- collective dwellings -- which are broadly classified into institutional and non-institutional types. Institutions are a place of residence where people are subject to a common authority or bound by a common objective or personal interest. The definition encompasses correctional facilities, health institutions, retirement homes, orphanages, shelters (social welfare institutions), military or police establishments, boarding schools, and religious group dwellings. Non-institutional group quarters comprise refugee and workers' camps (temporary accommodation), hotels, pensions, and all types of boarding or lodging houses. The "floating population" is included as a category within the non-institutional group quarters, when identified by the corresponding sample. This group refers to outdoor sleepers, homeless persons, travelers, and persons in ships, boats, or other mobile dwellings. A more general classification of households between private and group quarters is available in GQ. 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 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 Poland, Voivodship 2002 - 2011 [Level 1; consistent boundaries, GIS] 616002 Dolnośląskie 616004 Kujawsko pomorskie 616006 Lubelskie 616008 Lubuskie 616010 Łódzkie 616012 Małopolskie 616014 Mazowieckie 616016 Opolskie 616018 Podkarpackie 616020 Podlaskie 616022 Pomorskie 616024 Śląskie 616026 Świętokrzyskie 616028 Warmińsko mazurskie 616030 Wielkopolskie 616032 Zachodniopomorskie GEO1_PL identifies the household's voivodship within Poland in 2002 and 2011. Voivodships are the first level administrative units of the country. GEO1_PL 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_PL can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Poland 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 Poland, Vovoidship 2002 [Level 1, GIS] 002 Dolnośląskie 004 Kujawsko pomorskie 006 Lubelskie 008 Lubuskie 010 Łódzkie 012 Małopolskie 014 Mazowieckie 016 Opolskie 018 Podkarpackie 020 Podlaskie 022 Pomorskie 024 Śląskie 026 Świętokrzyskie 028 Warmińsko mazurskie 030 Wielkopolskie 032 Zachodniopomorskie GEO1_PL2002 identifies the household's voivodship within Poland in 2002. Voivodships are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_PL2002 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Poland can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. IPUMS Ownership of dwelling [general version] NIU (not in universe) 1 Owned 2 Not owned 9 Unknown OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. IPUMS Ownership of dwelling [detailed version] 000 NIU (not in universe) 100 Owned 110 Owned, already paid 120 Owned, still paying 130 Owned, constructed 140 Owned, inherited 190 Owned, other 191 Owned, house 192 Owned, condominium 193 Apartment proprietor 194 Shared ownership 200 Not owned 210 Renting, not specified 211 Renting, government 212 Renting, local authority 213 Renting, parastatal 214 Renting, private 215 Renting, private company 216 Renting, individual 217 Renting, collective 218 Renting, joint state and individual 219 Renting, public subsidized 220 Renting, private subsidized 221 Renting, co-tenant 222 Renting, relative of tenant 223 Renting, cooperative 224 Renting, with a job or business 225 Renting, loan-backed habitation 226 Renting, mixed contract 227 Furnished dwelling 228 Sharecropping 230 Subletting 231 Rent to own 239 Renting, other 240 Occupied de facto/squatting 250 Free/usufruct (no cash rent) 251 Free, provided by employer 252 Free, without work or services 253 Free, provided by family or friend 254 Free, private 255 Free, public 256 Free, condemned 257 Free, other 260 Endowment, Waqf (Egypt historical) 290 Not owned, other 999 Unknown OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. IPUMS 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 Number of bedrooms 00 No bedrooms 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+ 98 Unknown 99 NIU (not in universe) BEDROOMS indicates the number of rooms available to members of the household for sleeping. 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 Year structure was built 0000 NIU (not in universe) 1870 1870 or earlier 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 9998 Under construction 9999 Unknown BUILTYR indicates the year in which construction was completed on the building in which the household resides. IPUMS Age of structure 000 Less than 1 year old 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 99 100 100 101 101 102 102 103 103 104 104 105 105 106 106 107 107 108 108 109 109 110 110 111 111 112 112 113 113 114 114 115 115 116 116 117 117 118 118 119 119 120 120 121 121 122 122 123 123 124 124 125 125 126 126 127 127 128 128 129 129 130 130 131 131 132 132 133 133 134 134 135 135 136 136 137 137 138 138 139 139 140 140 141 141 142 142 143 143 144 144 145 145 146 146 147 147 148 148 149 149 150 150 151 151 152 152 153 153 154 154 155 155 156 156 157 157 158 158 159 159 160 160 161 161 162 162 163 163 164 164 165 165 166 166 167 167 168 168 169 169 170 170 171 171 172 172 173 173 174 174 175 175 176 176 177 177 178 178 179 179 180 180 181 181 182 182 183 183 184 184 185 185 186 186 187 187 188 188 189 189 190 190 191 191 192 192 193 193 194 194 195 195 196 196 197 197 198 198 199 199 200 200+ 997 Under construction 998 Unknown 999 NIU (not in universe) AGESTRUCT1 reports the estimated age of the structure in which the household resided. IPUMS Age of structure, coded from intervals 000 Less than 1 year old 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 99 100 100 101 101 102 102 103 103 104 104 105 105 106 106 107 107 108 108 109 109 110 110 111 111 112 112 113 113 114 114 115 115 116 116 117 117 118 118 119 119 120 120 121 121 122 122 123 123 124 124 125 125 126 126 127 127 128 128 129 129 130 130 131 131 132 132 133 133 134 134 135 135 136 136 137 137 138 138 139 139 140 140 141 141 142 142 143 143 144 144 145 145 146 146 147 147 148 148 149 149 150 150 151 151 152 152 153 153 154 154 155 155 156 156 157 157 158 158 159 159 160 160 161 161 162 162 163 163 164 164 165 165 166 166 167 167 168 168 169 169 170 170 171 171 172 172 173 173 174 174 175 175 176 176 177 177 178 178 179 179 180 180 181 181 182 182 183 183 184 184 185 185 186 186 187 187 188 188 189 189 190 190 191 191 192 192 193 193 194 194 195 195 196 196 197 197 198 198 199 199 200 200+ 997 Under construction 998 Unknown 999 NIU (not in universe) AGESTRUCT2 gives the estimated age of the structure. 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 ____ 1 <span class="lang">Voivodship</span> <br />____ 2 <span class="lang">Powiat</span> <br />____ 3 Community (<span class="lang">gmina</span>) <br />____ 4 Town</p> <p>5. Precise address of an enumerated dwelling (or other living quarter) </p> <div class="i1">____ Locality<br />____ Street, number of building, and number of dwelling</div><p>____ 6. Serial number of building in enumeration district Poland 2002: All records This variable indicates the dwelling number. This is a 7-digit numeric variable with 0 implied decimal places IPUMS Household number (within dwelling) Poland 2002: All records 1 1 2 2 3 3 The variable indicates the household number within the dwelling. IPUMS Number of households in dwelling Poland 2002: All records 1 1 2 2 3 3 This variable indicates the number of households that are in the dwelling. IPUMS Number of persons in dwelling ____ 7. Number of persons enumerated in the dwelling (or in other living quarters) Poland 2002: All records 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 This variable indicates the number of persons in the dwelling. IPUMS Number of persons in household Person number (0-15) </p> <div class="i1">____ Family name and given name<br />____ Year of birth <br />____ Relationship to the head of the household<br />____ Number of private household</div><div class="i2">Number of holders of an agricultural farm (plots of land) in the dwelling ___________</div> Poland 2002: All records 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 This variable indicates the number of persons in the household. IPUMS Type of community <span class="em">3. Please, give the place of your permanent residence in Poland</span><div class="i1">If it is the same place of permanent residence as has been written in questionnaire A - please, do not fill in this question. Then please go to question 8 on the questionnaire M<br /><br />a) <span class="lang">Voivodship</span> ____<br />b) <span class="lang">Powiat</span> ____<br />c) Community (<span class="lang">gmina</span>) ____<br />d) Type of locality</div><div class="i2">[] 1 Urban area<br />[] 2 Rural area</div> Poland 2002: All households 1 Urban community 2 Rural community 4 Town in a urban-rural community 5 Village in a urban-rural community 8 District of the Central Warsaw community 9 Atypical community This variable indicates the type of community the household resides in. IPUMS Type of the locality (rural or urban) <span class="em">3. Please, give the place of your permanent residence in Poland</span><div class="i1">If it is the same place of permanent residence as has been written in questionnaire A - please, do not fill in this question. Then please go to question 8 on the questionnaire M<br /><br />a) <span class="lang">Voivodship</span> ____<br />b) <span class="lang">Powiat</span> ____<br />c) Community (<span class="lang">gmina</span>) ____<br />d) Type of locality</div><div class="i2">[] 1 Urban area<br />[] 2 Rural area</div> Poland 2002: All households 1 Urban 2 Rural This variable indicates the type of locality: whether the locality is urban or rural. IPUMS Size of the community Poland 2002: Communities that are not rural or villages [discrepancies: none] 00 500,000 or more people 01 200,000 to 499,999 02 100,000 to 199,999 03 50,000 to 99,999 04 20,000 to 49,999 05 10,000 to 19,999 06 7,000 to 9,999 07 5,000 to 6,999 08 2,000 to 4,999 09 Less than 2,000 people 99 NIU (not in universe) This variable indicates the size of the community, in number of people. IPUMS Type of building <span class="em">1. Type of building</span><div class="i1">[] 1 Residential</div><div class="i2">With total number of dwellings: ____</div><div class="i1">[] 2 Residential- inventoried or residential-farmers<br />[] 3 Institutional-collective living quarters (more than half of it is occupied for hotel, dormitory, convent, etc.)<br />[] 4 Non-residential (more than half of it is occupied for offices, dispensary, school etc.) <br />[] 5 Reserved for seasonal use</div> Poland 2002: First enumerated dwelling in the building [universe unverifiable] 1 Residential 2 Residential-inventoried or residential-farmers 3 Collective living quarters 4 Non-residential 5 Reserved for seasonal use 8 Unknown 9 NIU (not in universe) This variable indicates the type of building that the dwelling is located in. If there were two or more enumerated dwellings in the building, the question was asked only to the first enumerated dwelling. IPUMS Owner of the building <span class="em">2. Who is the owner of this building?</span><div class="i1">[] 1 Private person<br />[] 2 Housing co-operative <br />[] 3 Community (<span class="lang">gmina</span>)<br />[] 4 State property <br />[] 5 Working establishment company in public sector<br />[] 6 Working establishment company in private sector<br />[] 7 Social building company <br />[] 8 Other (i.e. religious institutions, foundation, association etc.)<br />Joint ownership (with separate properties of dwellings)</div><div class="i2">[] 9 Only private persons<br />[] 10 Private persons and community (<span class="lang">gmina</span>)<br />[] 11 Private persons and working establishments <br />[] 12 Others</div><div class="i1">[] 13 Joint-ownership without separate property of dwellings</div> Poland 2002: First enumerated dwelling in the building [discrepancies: none] 01 Private person 02 Housing cooperative 03 Community (gmina) 04 State property 05 Working establishment company in public sector 06 Working establishment company in private sector 07 Social building company 08 Other owner 09 Joint-ownership between private persons 10 Joint-ownership between private persons and community 11 Joint-ownership between private persons and working establishment 12 Joint-ownership between others not previously listed 13 Joint-ownership without separate property of dwellings 99 NIU (not in universe) This variable indicates the owner of the building. If there were two or more enumerated dwellings in the building, the question was asked only to the first enumerated dwelling. IPUMS Piped water in the building <span class="em">4. Are there water-pipes in the building?</span><div class="i1">[] 1 Yes - network<br />[] 2 Yes - local system <br />[] 3 No</div> Poland 2002: First enumerated dwelling in the building [discrepancies: none] 1 From a network 2 From a local system 3 No piped water 8 Unknown 9 NIU (not in universe) This variable indicates whether the building has a piped water system, and the source of that system. If there were two or more enumerated dwellings in the building, the question was asked only to the first enumerated dwelling. IPUMS Sewage in the building <span class="em">5. Is there sewage in the building?</span><div class="i1">[] 1 Yes - connected with sewage system<br />[] 2 Yes - local system <br />[] 3 No</div> Poland 2002: First enumerated dwelling in the building [discrepancies: none] 1 Connected with sewage system 2 Connected to a local system 3 No sewage 8 Unknown 9 NIU (not in universe) This variable indicates whether the building has a sewage system, and the source of that system. If there were two or more enumerated dwellings in the building, the question was asked only to the first enumerated dwelling. IPUMS Number of flats in the building Poland 2002: First enumerated dwelling in the building [discrepancies: none] This variable indicates the number of flats in the building. If there were two or more enumerated dwellings in the building, the question was asked only to the first enumerated dwelling. PL2002A0033 is an 8-digit numeric variable. Codes99999999 = NIU. IPUMS Total floor space of all the flats in the building (in square meters) Poland 2002: First enumerated dwelling in the building [discrepancies: none] This variable indicates the total floor space of all the flats in the building. If there were two or more enumerated dwellings in the building, the question was asked only to the first enumerated dwelling. PL2002A0034 is a 8-digit numeric variable. Codes99999999 = NIU. IPUMS Piped gas in the building <span class="em">9. Is there gas in this dwelling?</span><div class="i1">[] 1 Yes, piped gas <br />[] 2 Yes, bottle gas <br />[] 3 No</div> Poland 2002: First enumerated dwelling in the building [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether there is piped gas in the building. If there were two or more enumerated dwellings in the building, the question was asked only to the first enumerated dwelling. IPUMS Central heating in the building <span class="em">10. Type of heating of the dwelling</span><div class="i1">[] 1 Collective central heating: Network <br />[] 2 Collective central heating: Local source of heating in multi-dwelling building <br />[] 3 Individual central heating<br />[] 4 Stores <br />[] 5 Others (specify): ____</div> Poland 2002: First enumerated dwelling in the building [discrepancies: none] 1 Network 2 Collective heating for a multi dwelling building 3 Individual central heating 4 None 8 Unknown 9 NIU (not in universe) This variable indicates whether there is central heating in the building, and the source of the heat. If there were two or more enumerated dwellings in the building, the question was asked only to the first enumerated dwelling. IPUMS Number of residents of the building Poland 2002: First enumerated dwelling in the building [discrepancies: none] This variable indicates the number of residents of the building. If there were two or more enumerated dwellings in the building, the question was asked only to the first enumerated dwelling. PL2002A0037 is a 8-digit numeric variable. Codes99999999 = NIU. IPUMS Period of the building construction <span class="em">3. a) Period of the building construction</span><div class="i1">[] 1 Before 1918<br />[] 2 1919-1944<br />[] 3 1945-1970<br />[] 4 1971-1978<br />[] 5 1979-1988<br />[] 6 1989-2002<br />[] 7 Under construction</div><span class="em">3.b) If the answer is 1989 - 2002 - please fill in the year when the building was completed:</span> ____ Poland 2002: First enumerated dwelling in the building [discrepancies: none] 01 Before 1918 02 1918 to 1944 03 1945 to 1970 04 1971 to 1978 05 1979 to 1988 06 1989 07 1990 08 1991 09 1992 10 1993 11 1994 12 1995 13 1996 14 1997 15 1998 16 1999 17 2000 18 2001 19 2002 20 After 1988, exact date not specified 21 Under construction 98 Unknown 99 NIU (not in universe) This variable indicates the period of the building’s construction, if appointed. If there were two or more enumerated dwellings in the building, the question was asked only to the first enumerated dwelling. IPUMS Number of abandoned flats Poland 2002: First enumerated dwelling in the building [discrepancies: none] 000 There are no abandoned flats 001 1 flat 002 2 flats 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+ 999 NIU (not in universe) This variable indicates the number of abandoned flats in the building. If there were two or more enumerated dwellings in the building, the question was asked only to the first enumerated dwelling. IPUMS Number of occupied flats Poland 2002: First enumerated dwelling in the building [discrepancies: none] The variable indicates the number of occupied flats in the building. If there were two or more enumerated dwellings in the building, the question was asked only to the first enumerated dwelling. PL2002A0040 is a 8-digit numeric variable. Codes99999999 = NIU. IPUMS Number of rooms in the building Poland 2002: First enumerated dwelling in the building [discrepancies: none] This variable indicates the number of rooms in the building. If there were two or more enumerated dwellings in the building, the question was asked only to the first enumerated dwelling. PL2002A0041 is a 8-digit numeric variable. Codes99999999 = NIU. IPUMS Type of housing unit 8. Type of enumerated housing unit:</p> <div class="i1">[] 1 Dwelling - a portion of space within a building, set of rooms or one room, including auxiliary rooms, regardless if swelling on basis one or more than one legal title<br /><br />[] 2 Occupied other living quarter (fill in type of quarter or object) ____</div><div class="i2">It is a quarter not adapted to housing conditions and occupied temporarily (e.g. attic, launderette, drying room), moving object (e.g. barrack, caravan, barge) or other quarter, which during the census is place of residence of an enumerated person</div><div class="i1">[] 3 Collective living quarter (fill in the full name) ____</div><div class="i2">It is an object in which stay one more persons, for example: dormitory, hall of residence, workers' hostel, orphanage, borstal, old people's home, humanitarian aid home, convent home, nunnery, hospital, sanatorium, hostel, hotel, motel, guest house or other place</div><div class="i1">____ Symbol of the type of collective living quarter</div> Poland 2002: All households 1 Private dwelling 2 Other occupied living quarters 3 Collective housing This variable indicates the type of housing unit. IPUMS Type of collective housing 8. Type of enumerated housing unit:</p> <div class="i1">[] 1 Dwelling - a portion of space within a building, set of rooms or one room, including auxiliary rooms, regardless if swelling on basis one or more than one legal title<br /><br />[] 2 Occupied other living quarter (fill in type of quarter or object) ____</div><div class="i2">It is a quarter not adapted to housing conditions and occupied temporarily (e.g. attic, launderette, drying room), moving object (e.g. barrack, caravan, barge) or other quarter, which during the census is place of residence of an enumerated person</div><div class="i1">[] 3 Collective living quarter (fill in the full name) ____</div><div class="i2">It is an object in which stay one more persons, for example: dormitory, hall of residence, workers' hostel, orphanage, borstal, old people's home, humanitarian aid home, convent home, nunnery, hospital, sanatorium, hostel, hotel, motel, guest house or other place</div><div class="i1">____ Symbol of the type of collective living quarter</div> Poland 2002: Collective households [discrepancies: none] 00 NIU (not in universe) 51 Boarding schools 52 Dormitories 53 Hotels for workers 54 Orphanages 55 Other institutions taking care of children 56 Community homes for pensioners and old people 57 Community homes for pregnant women and single mothers 58 Nursing homes for chronically ill or disabled 59 Mental hospital, detoxification centers, nursing homes for drug addicts 60 Monasteries, Presbyteries, etc. 61 Shelters and other collectives for homeless persons 62 Other collective housing objects This variable indicates the type of collective housing that the household is in. IPUMS Number of persons living in a permanently occupied dwelling or other living quarter <span class="em">4. Do you live here permanently and were you present or absent on May 20th at midnight or do you stay here temporarily?</span><div class="i1">If the answer is: 1 go to question 7; 3 give the name of the country of staying; 5 give the name of the country of origin<br /><br />[] 1 Live permanently - present - question 7<br />[] 2 Live permanently - absent</div><div class="i2">Stay in other place in Poland</div><div class="i1">[] 3 Live permanently - absent</div><div class="i2">Stay abroad: Name of the country ____</div><div class="i1">[] 4 Stay temporarily - arrived from other place in Poland<br />[] 5 Stay temporarily - arrived from abroad</div><div class="i2">Name of the country ____</div> Poland 2002: All households This variable indicates the number of persons living in a permanently occupied dwelling or other living quarter. This variable should be asked of households in all types of housing units. This is a 8-digit numeric variable with 0 implied decimal places IPUMS Number of households living in a permanently occupied dwelling or other living quarter Poland 2002: Private dwellings including provisional or mobile housing [discrepancies: none] 1 1 household 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 NIU (not in universe) This variable indicates the number of households living in a permanently occupied dwelling or other living quarter. This variable should be asked of households in all types of housing units. IPUMS Number of families living in a permanently occupied dwelling or other living quarter Poland 2002: All households 00 No family 01 1 family 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 11 11 10 10 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22+ This variable indicates the number of families living in a permanently occupied dwelling or other living quarter. This variable should be asked of households in all types of housing units. IPUMS Type of households in a permanently occupied dwelling Poland 2002: Private dwellings excluding provisional or mobile housing [discrepancies: none] NIU (not in universe) 1 One-person household 2 Multi-person household 3 Two households, both one-person households 4 Two households, one of them being a multi-person household 5 Two households, both multi-person households 6 Three or more households This variable indicates the type of households and the number of households (if applicable) living in a permanently occupied dwelling. IPUMS Composition of the family in a permanently occupied dwelling Poland 2002: Private dwellings excluding provisional or mobile housing [discrepancies: none] NIU (not in universe) 1 One-family household 2 Multi-family household 3 One household not being family 4 Two households, both being families 5 Two households, both not being families 6 Two households, one being family and one not being family 7 Three or more households This variable indicates the composition of families in a permanently occupied dwelling. IPUMS Number of foreigners in a dwelling Poland 2002: Private dwellings excluding provisional or mobile housing [discrepancies: type I none; type II 98.5%] 0 none 1 1 person 2 2 3 3 4 4 5 5+ 9 NIU (not in universe) This variable indicates the number of foreigners in a dwelling. IPUMS Number of foreigners in a dwelling that are citizens of European countries Poland 2002: Private dwellings excluding provisional or mobile housing [discrepancies: type I none; type II 98.7%] None 1 1 person 2 2 3 3 4 4+ 9 NIU (not in universe) This variable indicates the number of foreigners that are citizens of European countries in a dwelling. IPUMS Type of ownership of the dwelling <span class="em">2. What is the type of ownership of this dwelling?</span><div class="i1">[] 1 Is owned by a private person <br />[] 2 Is owed by co-operative dwelling <br />[] 3 Is tenant by co-operative <br />[] 4 Is owned by community (<span class="lang">gmina</span>)<br />[] 5 Is owned by state property <br />[] 6 Is owned by establishment company <br />[] 7 Is owned by social building company <br />[] 8 Other type of ownership (specify) ____</div> Poland 2002: Private dwellings excluding provisional or mobile housing [discrepancies: none] NIU (not in universe) 1 Private person 2 Co-operative dwelling, owner 3 Co-operative dwelling, tenant 4 Community (gmina) 5 State property 6 Establishment company 7 Social building company 8 Other type of ownership This variable indicates the owner of the dwelling. IPUMS Number of rooms that are kitchens <span class="em">3.Is there a kitchen in this dwelling?</span><div class="i1">[] With a window or floor space less than 4 meters squared</div><div class="i2">Number of kitchens: __</div><div class="i1">[] 6 Without a window of floor space less than 4 meters squared<br />[] 7 Kitchen is a part of the dining or living room<br />[] 8 No kitchen or a kitchen as a separated part of living room</div> Poland 2002: Private dwellings excluding provisional or mobile housing [discrepancies: type I none; type II 7.6%] No kitchen 1 1 kitchen 2 2 3 3 4 4+ 9 NIU (not in universe) This variable indicates the number of rooms in the dwellings that are kitchens. For this variable, a kitchen is defined as a room with a window that has an overall floor space of 4 square meters or more. IPUMS Space used for the kitchen <span class="em">3.Is there a kitchen in this dwelling?</span><div class="i1">[] With a window or floor space less than 4 meters squared</div><div class="i2">Number of kitchens: __</div><div class="i1">[] 6 Without a window of floor space less than 4 meters squared<br />[] 7 Kitchen is a part of the dining or living room<br />[] 8 No kitchen or a kitchen as a separated part of living room</div> Poland 2002: Private dwellings excluding provisional or mobile housing [discrepancies: type I none; type II 90.6%] 1 There is a room for the kitchen and no other kitchen space 2 There is a space used for the kitchen not in a room 3 The kitchen is a part of the living or dining room 4 No kitchen or as part of the living or dining room 8 Unknown 9 NIU (not in universe) This variable indicates whether there is space for kitchen (that is not in a room) in the dwelling. A kitchen is defined as a room with a window that has an overall floor space of 4 square meters or more. Due to lack of lighting or the overall floor space being below 4 meters squares, there may not be a room for a kitchen; but there could be space in the dwelling that serves the same role as the typical kitchen. IPUMS Number of rooms (pokoi) in the dwelling <span class="em">4. Number of rooms in this dwelling?</span><div class="i1">a) Total (do not include kitchen, hall, bathroom, toilet, veranda, pantry etc.): ____<br />b) Of which rooms are used exclusively for conducting economic activity (for example: office, study room, workshop, etc.) ____</div> Poland 2002: Private dwellings excluding provisional or mobile housing [discrepancies: type I none; type II 0.1%] 00 No rooms 01 1 room 02 2 rooms 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+ 98 Unknown 99 NIU (not in universe) This variable indicates the number of rooms in the dwelling. IPUMS Number of rooms (pokoi) used for business purposes only <span class="em">4. Number of rooms in this dwelling?</span><div class="i1">a) Total (do not include kitchen, hall, bathroom, toilet, veranda, pantry etc.): ____<br />b) Of which rooms are used exclusively for conducting economic activity (for example: office, study room, workshop, etc.) ____</div> Poland 2002: Private dwellings excluding provisional or mobile housing [discrepancies: type I none; type II 98%] 00 There are no rooms used for business purposes only 01 1 room used for business purposes only 02 2 rooms used for business purposes only 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10+ 99 NIU (not in universe) This variable indicates the number of rooms used for business purposes only. There are no rooms used for business purposes only if all the rooms are used as living rooms. IPUMS Total floor space of the dwelling (in square meters) <span class="em">5. Useful floor space of this dwelling</span><div class="i1">(In round meters squared) <br /><br />a) Total (i.e. total floor space of all lodgings in the dwelling: rooms, kitchens, hall, bathroom, toilet, pantry, veranda, etc.): _____<br />b) Of which, floor space of dwelling used exclusively for conducting economic activities: ____</div> Poland 2002: Private dwellings excluding provisional or mobile housing [discrepancies: none] 0007 7 or less 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 0100 100 0101 101 0102 102 0103 103 0104 104 0105 105 0106 106 0107 107 0108 108 0109 109 0110 110 0111 111 0112 112 0113 113 0114 114 0115 115 0116 116 0117 117 0118 118 0119 119 0120 120 0121 121 0122 122 0123 123 0124 124 0125 125 0126 126 0127 127 0128 128 0129 129 0130 130 0131 131 0132 132 0133 133 0134 134 0135 135 0136 136 0137 137 0138 138 0139 139 0140 140 0141 141 0142 142 0143 143 0144 144 0145 145 0146 146 0147 147 0148 148 0149 149 0150 150 0151 151 0152 152 0153 153 0154 154 0155 155 0156 156 0157 157 0158 158 0159 159 0160 160 0161 161 0162 162 0163 163 0164 164 0165 165 0166 166 0167 167 0168 168 0169 169 0170 170 0171 171 0172 172 0173 173 0174 174 0175 175 0176 176 0177 177 0178 178 0179 179 0180 180 0181 181 0182 182 0183 183 0184 184 0185 185 0186 186 0187 187 0188 188 0189 189 0190 190 0191 191 0192 192 0193 193 0194 194 0195 195 0196 196 0197 197 0198 198 0199 199 0200 200 0201 201 0202 202 0203 203 0204 204 0205 205 0206 206 0207 207 0208 208 0209 209 0210 210 0211 211 0212 212 0213 213 0214 214 0215 215 0216 216 0217 217 0218 218 0219 219 0220 220 0221 221 0222 222 0223 223 0224 224 0225 225 0226 226 0227 227 0228 228 0229 229 0230 230 0231 231 0232 232 0233 233 0234 234 0235 235 0236 236 0237 237 0238 238 0239 239 0240 240 0241 241 0242 242 0243 243 0244 244 0245 245 0246 246 0247 247 0248 248 0249 249 0250 250 to 299 0300 300 to 349 0350 350 to 399 0400 400 to 449 0450 450 to 499 0500 500+ 9998 Unknown 9999 NIU (not in universe) This variable indicates the total floor space of the dwelling. IPUMS Total floor space of the dwelling used for business purposes only (in square meters) <span class="em">5. Useful floor space of this dwelling</span><div class="i1">(In round meters squared) <br /><br />a) Total (i.e. total floor space of all lodgings in the dwelling: rooms, kitchens, hall, bathroom, toilet, pantry, veranda, etc.): _____<br />b) Of which, floor space of dwelling used exclusively for conducting economic activities: ____</div> Poland 2002: Private dwellings excluding provisional or mobile housing [discrepancies: type I none; type II 97.8%] 000 002 2 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 to 99 100 100 to 149 150 150 to 199 200 200+ 998 Unknown 999 NIU (not in universe) This variable indicates the total floor space of the dwelling that is used for business purposes only. IPUMS Running water in the dwelling <span class="em">6. a) Is there piped water in this dwelling?</span><div class="i1">[] 1 Yes, both hot and cold water<br />[] 2 Yes, only cold water <br />[] 3 No</div> Poland 2002: Private dwellings excluding provisional or mobile housing [discrepancies: none] NIU (not in universe) 1 Yes, both hot and cold water 2 Yes, only cold water 3 No 9 Unknown This variable indicates whether there is running water in the dwelling. The variable distinguishes between dwellings with both hot and cold running water, and buildings with just cold running water. IPUMS Place of heating the water <span class="em">6. b) Is there piped hot water in this dwelling? </span><div class="i1">[] 1 Heating outside the dwelling <br />[] 2 Heating in dwelling or in one family building</div> Poland 2002: Private dwellings with hot running water [discrepancies: none] NIU (not in universe) 1 Heated outside the dwelling 2 Heated in a dwelling or in a family building This variable indicates the location where the running water is heated for the dwelling, if applicable. IPUMS Bathroom in the dwelling <span class="em">7. Is there a bathroom with bathtub and/ or shower? </span><div class="i1">[] 1 Yes<br />[] 2 No</div> Poland 2002: Private dwellings excluding provisional or mobile housing [discrepancies: none] NIU (not in universe) 1 Yes 2 No 9 Unknown This variable indicates whether there is a bathroom in the dwelling. IPUMS Flush toilet in the dwelling <span class="em">8. Is there a flush toilet in this dwelling?</span><div class="i1">[] 1 Yes<br />[] 2 No</div> Poland 2002: Private dwellings excluding provisional or mobile housing [discrepancies: none] NIU (not in universe) 1 Yes 2 No 9 Unknown This variable indicates whether there is a flush toilet in the dwelling. IPUMS Gas in the dwelling <span class="em">9. Is there gas in this dwelling?</span><div class="i1">[] 1 Yes, piped gas <br />[] 2 Yes, bottle gas <br />[] 3 No</div> Poland 2002: Private dwellings excluding provisional or mobile housing [discrepancies: none] NIU (not in universe) 1 Yes, piped gas 2 Yes, bottled gas 3 No 9 Unknown This variable indicates whether there is gas in the dwelling. IPUMS Heating in the dwelling <span class="em">10. Type of heating of the dwelling</span><div class="i1">[] 1 Collective central heating: Network <br />[] 2 Collective central heating: Local source of heating in multi-dwelling building <br />[] 3 Individual central heating<br />[] 4 Stores <br />[] 5 Others (specify): ____</div> Poland 2002: Private dwellings excluding provisional or mobile housing [discrepancies: none] NIU (not in universe) 1 Collective central heating, network 2 Collective central heating, local source of heating in multi-dwelling building 3 Individual central heating 4 Stoves 5 Other type 9 Unknown This variable indicates the source of heat generation for the dwelling. IPUMS Type of fuel or energy used to heat the dwelling <span class="em">11. The type of fuel or energy used for heating the dwelling </span><div class="i1">If the answer is 3 or 4 or 5 in question 10 - please give the answer.<br /><br />[] 1 Constant fuel (coke, coal, patent fuel, wood)<br />[] 2 Gas (gaseous fuel)<br />[] 3 Liquid fuel (propulsive fuel, fuel oil)<br />[] 4 Electricity <br />[] 5 Two kinds of fuel (i.e. gas-oil, gas-coal, etc.) <br />[] 6 Others (specify): ____</div> Poland 2002: Pivate dwellings that do not have a collective central heating system [discrepancies: none] NIU (not in universe) 1 Solid fuel 2 Gas 3 Liquid fuel 4 Electricity 5 Two types of fuel 6 Other type 9 Unknown This variable indicates the type of fuel or energy that is used to heat the dwelling. IPUMS Number of rooms (izb) in the dwelling <span class="em">4. Number of rooms in this dwelling?</span><div class="i1">a) Total (do not include kitchen, hall, bathroom, toilet, veranda, pantry etc.): ____<br />b) Of which rooms are used exclusively for conducting economic activity (for example: office, study room, workshop, etc.) ____</div> Poland 2002: Private dwellings excluding provisional or mobile housing [discrepancies: none] 00 NIU (not in universe) 01 1 room 02 2 rooms 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+ 99 Unknown This variable indicates the number of rooms in a private dwelling. IPUMS Number of rooms (izb) in the dwelling (excluding rooms used for business purposes only) <span class="em">4. Number of rooms in this dwelling?</span><div class="i1">a) Total (do not include kitchen, hall, bathroom, toilet, veranda, pantry etc.): ____<br />b) Of which rooms are used exclusively for conducting economic activity (for example: office, study room, workshop, etc.) ____</div> Poland 2002: Private dwellings excluding provisional or mobile housing [discrepancies: none] 00 NIU (not in universe) 01 1 room 02 2 rooms 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+ 99 Unknown This variable indicates the number of rooms in the private dwelling, excluding rooms used for business purposes only. IPUMS Number of bedrooms in the dwelling (excluding rooms used for business purposes only) <span class="em">4. Number of rooms in this dwelling?</span><div class="i1">a) Total (do not include kitchen, hall, bathroom, toilet, veranda, pantry etc.): ____<br />b) Of which rooms are used exclusively for conducting economic activity (for example: office, study room, workshop, etc.) ____</div> Poland 2002: Private dwellings excluding provisional or mobile housing [discrepancies: type I none; type II 0.1%] 0 (kitchen room only) 1 1 room 2 2 rooms 3 3 4 4 5 5+ 8 Unknown 9 NIU (not in universe) This variable indicates the number of bedrooms in the dwelling, excluding rooms used for business purposes only. IPUMS Floor space in the dwelling (in square meters, excluding the space used for business purposes only) <span class="em">5. Useful floor space of this dwelling</span><div class="i1">(In round meters squared) <br /><br />a) Total (i.e. total floor space of all lodgings in the dwelling: rooms, kitchens, hall, bathroom, toilet, pantry, veranda, etc.): _____<br />b) Of which, floor space of dwelling used exclusively for conducting economic activities: ____</div> Poland 2002: Private dwellings excluding provisional or mobile housing [discrepancies: none] 00 NIU (not in universe) 01 Less than 30 square meters 02 30 to 39 03 40 to 49 04 50 to 59 05 60 to 79 06 80 to 99 07 100 to 119 08 120 to 199 09 200 or more square meters 99 Unknown This variable indicates the floor space in the dwelling (in meters squared), excluding the space used for business purposes only. IPUMS Owner of the dwelling <span class="em">2. Who is the owner of this building?</span><div class="i1">[] 1 Private person<br />[] 2 Housing co-operative <br />[] 3 Community (<span class="lang">gmina</span>)<br />[] 4 State property <br />[] 5 Working establishment company in public sector<br />[] 6 Working establishment company in private sector<br />[] 7 Social building company <br />[] 8 Other (i.e. religious institutions, foundation, association etc.)<br />Joint ownership (with separate properties of dwellings)</div><div class="i2">[] 9 Only private persons<br />[] 10 Private persons and community (<span class="lang">gmina</span>)<br />[] 11 Private persons and working establishments <br />[] 12 Others</div><div class="i1">[] 13 Joint-ownership without separate property of dwellings</div> Poland 2002: Private dwellings excluding provisional or mobile housing [discrepancies: none] 00 NIU (not in universe) 01 Owned by a private person, who occupies the dwelling 02 Co-owned by a private person, who occupies the dwelling 03 Owned by a private person (that does not occupy the dwelling) 04 Co-owned by a private person (that does not occupy the dwelling) 05 Co-operative owned dwelling, the owner occupies the dwelling 06 Co-operative owned dwelling (owner does not occupy the dwelling) 07 Co-operative rented dwelling 08 Owned by community 09 Co-owned by community 10 Owned by state 11 Co-owned by state 12 Owned by employer 13 Co-owned by employer 14 Social building company 15 Other owner This variable indicates the owner of the dwelling. This variable was asked only of private dwellings. IPUMS Person number of the household head Person number (0-15) </p> <div class="i1">____ Family name and given name<br />____ Year of birth <br />____ Relationship to the head of the household<br />____ Number of private household</div><div class="i2">Number of holders of an agricultural farm (plots of land) in the dwelling ___________</div> Poland 2002: Private dwellings [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 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 29 29 30 30 31 31 32 32 33 33 41 41 43 43 48 48 49 49 51 51 52 52 54 54 55 55 60 60 61 61 62 62 63 63 64 64 65 65 67 67 71 71 76 76 80 80 81 81 82 82 83 83 91 91 93 93 94 94 95 95 96 96 99 Unknown This variable indicates the number of the head of the household. IPUMS Person number of a holder of an agricultural farm Person number (0-15) </p> <div class="i1">____ Family name and given name<br />____ Year of birth <br />____ Relationship to the head of the household<br />____ Number of private household</div><div class="i2">Number of holders of an agricultural farm (plots of land) in the dwelling ___________</div> Poland 2002: Private dwellings [discrepancies: type I none; type II 77.8%] 00 No farm holder in the household 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 21 21 36 36 91 91 99 NIU (not in universe) This variable indicates the number of a holder of an agricultural farm in the household. A farm holder is a person or group of people that owns more than 1 hectare of agricultural land. IPUMS Type of collective housing 8. Type of enumerated housing unit:</p> <div class="i1">[] 1 Dwelling - a portion of space within a building, set of rooms or one room, including auxiliary rooms, regardless if swelling on basis one or more than one legal title<br /><br />[] 2 Occupied other living quarter (fill in type of quarter or object) ____</div><div class="i2">It is a quarter not adapted to housing conditions and occupied temporarily (e.g. attic, launderette, drying room), moving object (e.g. barrack, caravan, barge) or other quarter, which during the census is place of residence of an enumerated person</div><div class="i1">[] 3 Collective living quarter (fill in the full name) ____</div><div class="i2">It is an object in which stay one more persons, for example: dormitory, hall of residence, workers' hostel, orphanage, borstal, old people's home, humanitarian aid home, convent home, nunnery, hospital, sanatorium, hostel, hotel, motel, guest house or other place</div><div class="i1">____ Symbol of the type of collective living quarter</div> Poland 2002: Collective households [discrepancies: none] 00 NIU (not in universe) 51 Boarding schools 52 Dormitories 53 Hotels for workers 54 Orphanages 55 Other institutions taking care of children 56 Community homes for pensioners and old people 57 Community homes for pregnant women and single mothers 58 Nursing homes for chronically ill or disabled 59 Mental hospital, detoxification centers, nursing homes for drug addicts 60 Monasteries, presbyteries, etc. 61 Shelters for homeless, other collectives of homeless 62 Other collective housing objects This variable indicates the type of collective housing. IPUMS Type of household Poland 2002: All households 1 Private household 2 Collective household This variable indicates whether the household is a private or collective household. IPUMS Social-economic class of households Poland 2002: Private dwellings [discrepancies: none] NIU (not in universe) 1 Household of employes 2 Household of users of a private farm (or a plot of land) 3 Household of farmers 4 Self-employed 5 Household of pensioners 6 Household of persons receiving a pension for unable to work 7 Household of persons having other soure of unearned income 8 Household of persons having income from ownership 9 Other household The variable indicates the socio-economic class of the household. IPUMS Number of males in the household Poland 2002: Private dwellings [discrepancies: type I none; type II 18.2%] 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10+ 99 NIU (not in universe) The variable indicates the number of males in the household. IPUMS Number of females in the household Poland 2002: Private dwellings [discrepancies:type I none; type II 11.1%] 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10+ 99 NIU (not in universe) This variable indicates the number of females in the household. IPUMS Number of persons currently working in the household Poland 2002: Private dwellings [discrepancies: type I none; type II 8.3%] 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8+ 99 NIU (not in universe) This variable indicates the number of persons in the household currently working. IPUMS Number of persons currently unemployed in the household Poland 2002: Private dwellings [discrepancies typeI none; type II 77.7%] 00 o 01 1 02 2 03 3 04 4 05 5 06 6+ 99 NIU (not in universe) This variable indicates the number of persons in household currently unemployed. IPUMS Number of persons economically active in the household Poland 2002: Private dwellings [discrepancies:type I none; type II 29.5%] 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8+ 99 NIU (not in universe) This variable indicates the number of economically active persons in the household. IPUMS Number of persons being maintained in the household Poland 2002: Private dwellings [discrepancies: type I none; type II 44.4%] 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+ 99 NIU (not in universe) This variable indicates the number of persons being maintained in the household. IPUMS Number of disabled persons in the household Poland 2002: Private dwellings [discrepancies: type I none; type II 67.2%] 00 01 1 02 2 03 3 04 4 05 5 06 6+ 99 NIU (not in universe) This variable indicates the number of disabled persons in the household. IPUMS Number of disabled persons limited completely in basic activities of daily life in the household Poland 2002: Private dwellings [discrepancies: type I none; type II 97.3%] 00 01 1 02 2 03 3+ 99 NIU (not in universe) This variable indicates the number of disabled persons limited completely in basic activities of daily life in the household. IPUMS Number of disabled persons limited seriously in basic activities of daily life in the household Poland 2002: Private dwellings [discrepancies: type I none; type II 80.3%] 00 01 1 02 2 03 3 04 4 05 5+ 99 NIU (not in universe) This variable indicates the number of disabled persons limited seriously in basic activities of daily life in the household. IPUMS Number of disabled persons not limited in basic activities of daily life in the household Poland 2002: Private dwellings [discrepancies: type I none; type II 88.4%] 00 01 1 02 2 03 3 04 4+ 99 NIU (not in universe) This variable indicates the number of disabled persons not limited in basic activities of daily life in a household. IPUMS Number of persons possessing a certificate of disability in the household Poland 2002: Private dwellings [discrepancies: type I none; type II 72.2%] 00 01 1 02 2 03 3 04 4 05 5+ 99 NIU (not in universe) This variable indicates the number of persons possessing a certificate of disability. IPUMS Number of persons biologically disabled in the household Poland 2002: Private dwellings [discrepancies: type I none; type II 92.3%] 00 01 1 02 2 03 3 04 4+ 99 NIU (not in universe) This variable indicates the number of persons biologically disabled. IPUMS Number of families in the household Poland 2002: All households 00 0 families 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+ This variable indicates the number of families in the household. IPUMS Composition of the family of the household Poland 2002: Private dwellings [discrepancies: none] NIU (not in universe) 1 One family 2 Two families 3 Three or more families 4 One person (not being family) 5 More than one person (not being family) This variable indicates the number of families in the household and whether there are persons in the household not being family. IPUMS Tenure status 2. What is the tenure status of household?</p> <div class="i1">[] 1 Ownership of dwelling or building (which does not belong to a housing co-operative)<br />[] 2 Membership of a housing co-operative (own and rented dwellings)<br />[] 3 Main tenant<br />[] 4 Sun-tenant<br />[] 5 Relationship (with the owner or the main tenant) or for perpetuity<br />[] 6 Other (i.e. work for the owner of the dwelling, help in the household, live in the building of religious institution etc.) - Specify ____</div><div class="i2">Fill in the number of household ____</div> Poland 2002: Private dwellings excluding provisional or mobile housing [discrepancies: none] NIU (not in universe) 1 Ownership of dwelling or building 2 Membership of a housing co-operative 3 Renting (main tenant) 4 Renting (sub-tenant) 5 Relationship (with the owner or the main tenant) or for perpetuity 6 Other 9 Unknown This variable indicates the tenure status for private dwellings only. IPUMS Tenure status combined with ownership of the flat Poland 2002: Private dwellings excluding provisional or mobile housing [discrepancies: none] 00 NIU (not in universe) 01 Owner of building 02 Owner of dwelling 03 Member of a housing co-operative, owner of dwelling 04 Member of a housing co-operative, tenant of dwelling 05 The building is owned by a private person 06 The building is co-owned by a private person 07 Owned by a househont co-operative 08 Owned by the community (gmina) 09 State property 10 Owned by establishment company 11 Owned by social building company 12 Other owner 13 Renting (sub-tenant) 14 In a relationship with the flat owner 15 In a relationship with a member of a housing co-operative 16 In a relationship with tenant 17 In a relationship with another user of a dwelling 18 Other tenure status 99 Unknown This variable indicates the tenure status of the building combined with ownership of the flat for private dwellings. IPUMS Main source of maintenance of the household 1. What is the main and additional source of maintenance of household?</p> <div class="i1">Please fill in only one symbol for each household using explanation:</div><div class="i2">a) A source of supplying the most incomes for a whole private household, <br />b) A source of taking the second position in you incomes</div><div class="i1">a. Main (from 1 to 17 or 19 - notation as in question 30) ____</div><div class="i2">Fill in the number of household ____</div><div class="i1">b. Additional (from 1 to 17 or 99 - 'no concern') ____</div> Poland 2002: Private dwellings [discrepancies: none] 00 NIU (not in universe) 01 Employed in public non-agriculture sector (state and communal establishment) 02 Employed in private non-agriculture sector (including producers' co-operative 03 Employed in public agriculture sector (state and communal establishment) 04 Employed in private agriculture sector (state and communal establishment) 05 Self-employed outside agriculture 06 Self-employed in own private farm (or plot of land) 07 Self-employed in agriculture outside own private farm (or plot of land) 08 Retirement pay (employee, derivative and combatant) 09 Retirement pay of farmers 10 Pension resulting from an inability to work 11 Social pension 12 Family pension 13 Unemployment benefit 14 Welfare benefit 15 Other unearned source of maintenance 16 Incomes from owning 17 Incomes from leasing 19 Being maintained 99 Unknown This variable indicates the main source of maintenance of private households. IPUMS Additional source of maintenance of the household 1. What is the main and additional source of maintenance of household?</p> <div class="i1">Please fill in only one symbol for each household using explanation:</div><div class="i2">a) A source of supplying the most incomes for a whole private household, <br />b) A source of taking the second position in you incomes</div><div class="i1">a. Main (from 1 to 17 or 19 - notation as in question 30) ____</div><div class="i2">Fill in the number of household ____</div><div class="i1">b. Additional (from 1 to 17 or 99 - 'no concern') ____</div> Poland 2002: Private dwellings [discrepancies: none] 00 NIU (not in universe) 01 Employed in public non-agriculture sector (state and communal establishment) 02 Employed in private non-agriculture sector (including producers' co-operative) 03 Employed in public agriculture sector (state and communal establishment) 04 Employed in private agriculture sector (state and communal establishment) 05 Self-employed outside agriculture 06 Self-employed in own private farm (or plot of land) 07 Self-employed in agriculture outside own private farm (or plot of land) 08 Retirement pay (employee, derivative and combatant) 09 Retirement pay of farmers 10 Pension resulting from an inability to work 11 Social pension 12 Family pension 13 Unemployment benefit 14 Welfare benefit 15 Other unearned source of maintenance 16 Income from owning 17 Income from leasing 99 No additional source of income This variable indicates the additional source of maintenance of private households. 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 Consensual union 1 Yes, in consensual union 2 No, married 8 Unknown 9 NIU (not in universe) CONSENS indicates whether the respondent was in a consensual union -- a de facto marriage. IPUMS Duration of current marriage or union 00 Less than 1 year 01 1 year 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+ 98 Unknown 99 NIU (not in universe) DURMARR reports the duration of the respondent's current marriage or union, or, in some cases, the total years spent within marriage. IPUMS Relationship to head of subfamily 1000 Head 2000 Spouse/partner 2100 Spouse 2200 Unmarried partner 3000 Child 3100 Biological child 3200 Adopted or step child 4000 Other relative 4100 Grandchild 4200 Parent/parent-in-law 4210 Parent 4220 Parent-in-law 4300 Child-in-law 4400 Sibling/sibling-in-law 4410 Sibling 4430 Sibling-in-law 4500 Grandparent 4600 Parent/grandparent 4810 Nephew/niece 4900 Other relative, n.e.c. 5000 Non-relative 5120 Visitor 5210 Domestic employee 5220 Relative of employee, n.s. 5300 Roomer/boarder/lodger/foster child 5310 Boarder 5311 Boarder or guest 5400 Employee, boarder or guest 5510 Agregado 5600 Group quarters 6000 Other relative or non-relative 9998 Unknown 9999 NIU (not in universe) SUBFREL describes the relationship of the individual to the head of the subfamily (in most cases, conjugal unit). It is distinct from RELATE, which identifies a person's relationship to the head of the household. There can be multiple subfamilies within households. The particular subfamily to which a person belongs is recorded in SUBFNUM. Persons living alone without other family are identified as "heads" of family. IPUMS Subfamily membership number 0000 Non-family or sub-family not identified 0001 1st subfamily 0002 2nd subfamily 0003 3rd subfamily 0004 4th subfamily 0005 5th subfamily 0006 6th subfamily 0007 7th subfamily 0008 8th subfamily 0009 9th subfamily 0010 10th subfamily 0011 11th subfamily 0012 12th subfamily 0013 13th subfamily 0099 Unknown SUBFNUM gives the number of the subfamily to which the person belongs within the household (1 = first subfamily, 2 = second subfamily, etc.). SUBFNUM records the identification of subfamilies in the original dataset, which generally correspond to conjugal units and their offspring. 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 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 Country of citizenship 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, other or n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo (Republic of) 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, other or n.s. 13000 Northern Africa 13010 Algeria 13011 Algeria/Tunisia 13020 Egypt/United Arab Rep. 13021 Egypt/Sudan 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, other or n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, other or n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15999 West Africa, other or n.s. 19999 Africa, other or n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21220 St. Lucia 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21999 Caribbean, other or n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, other or n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23999 South America, other or n.s. 24000 North America 24010 Bermuda 24020 Canada 24021 Canada, First Nations 24030 Greenland 24040 United States 24999 North America, other or n.s. 29999 Americas, other or n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 31999 Eastern Asia, other or n.s. 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32990 Burma, India, Pakistan, Ceylon 32999 South-Central Asia, other or n.s. 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33991 Laos and Cambodia 33992 Malaysia and Singapore 33999 South-Eastern Asia, other or n.s. 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34051 Abkhazia 34052 South Ossetia 34060 Iraq 34070 Israel 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34991 Middle East 34999 Western Asia, other or n.s. 39999 Asia, other or n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Bulgaria/Greece 41030 Czech Republic/Czechoslovakia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41992 Central-Eastern Europe 41999 Eastern Europe, other or n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42100 Svalbard and Jan Mayen Islands 42110 Sweden 42120 United Kingdom 42121 Britain 42122 Scotland 42123 Wales 42990 Nordic countries 42999 Northern Europe, other or n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovina 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43144 Serbia and Montenegro 43999 Southern Europe, other or n.s. 44000 Western Europe 44010 Austria 44011 Austro-Hungarian 44020 Belgium 44022 Belgium/Netherlands/Luxemburg 44030 France 44040 Germany 44041 East Germany 44042 West Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44999 Western Europe, other or n.s. 49992 European Union 49993 European Union (Original 15) 49994 Other European Union 49999 Europe, other or n.s. 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 52999 Melanesia, n.s. 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53999 Micronesia, other or n.s. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Western Samoa 54060 Eastern Samoa 54070 Tokelau 54080 Tonga 54090 Tuvalu 54100 Wallis and Futuna Isls. 54999 Polynesia, other or n.s. 55000 U.S. Pacific Possessions 55010 American Samoa 55020 Baker Island 55030 Guam 55040 Howland Island 55050 Johnston Atoll 55060 Kingman Reef 55070 Midway Islands 55080 Wake Island 55999 US Pacific, other or n.s. 59999 Oceania, other or n.s. 90000 Other countries n.s. 99998 No citizenship/nationality 99999 Unknown NATION indicates the person's country of citizenship. IPUMS Language spoken at home, Poland 1 Polish 2 Polish and other language 3 Other language 9 Unknown LANGPL indicates the language usually spoken at home in Poland. 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, Poland 00 NIU (not in universe) 10 None or incomplete primary 11 No education 12 Primary incomplete 20 Primary 30 Basic vocational 40 Secondary incomplete 41 Lower secondary 42 Vocational secondary, no certificate 43 General secondary, no certificate 50 Secondary completed 51 Vocational secondary completed 52 General secondary completed 60 Post-secondary 61 Post-secondary incomplete 62 Post-secondary completed 63 Training college 70 University 71 University, bachelor's 72 University, master's 73 University, doctorate 99 Unknown EDUCPL indicates the person's educational attainment in Poland 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 Available to work 1 Yes 2 No 8 Unknown 9 NIU (Not in universe) WRKAVAIL indicates whether a person is available to work (readiness) within a short period of time. IPUMS Period seeking work 00 NIU (not in universe) 10 Seeking work less than one year 11 Seeking work less than 1 month 12 Seeking work less than 3 months 13 Seeking work 1 to less than 3 months 14 Seeking work 1 to 6 months 15 Seeking work 3 to 12 months 16 Seeking work 3 to less than 6 months 17 Seeking work 6 to 12 months 20 Seeking work more than 1 year 21 Seeking work more than 1 and up to 2 years 22 Seeking work more than 2 years 90 Seeking work, unspecified period 99 Unknown LOOKJOB indicates the continuous period of time that an unemployed person has been seeking work. IPUMS Source of livelihood 01 Work 02 Property or entrepreneurial income 03 Pension 04 Unemployment benefits 05 Illness or disability benefits 06 Other social support 07 Under state security or care 08 Scholarship 09 Apprenticeship 10 Credits, savings, or capital sale 11 Household support (dependent) 12 Assistance from relatives in country 13 Assistance from relatives, acquintances abroad 14 Multiple sources 15 Other 98 Unknown INCSRC indicates the respondent's primary source of livelihood, whether from work, benefits, or various other categories. IPUMS Receives pension or similar benefit 10 Yes, receives a pension 11 Retirement 12 Retirement and other 13 Disability 14 Disability and other 15 Other or type not specified 20 No, does not receive a pension 98 Unknown 99 NIU (not in universe) PENSION indicates whether the respondent received a pension or similar benefits. IPUMS Migration status, 1 year 00 NIU (not in universe) 10 Same major administrative unit 11 Same major, same minor administrative unit 12 Same major, different minor administrative unit 20 Different major administrative unit 30 Abroad 99 Unknown/missing MIGRATE1 indicates the person's place of residence 1 year ago. The first digit records movement across major administrative divisions and countries; the second digit reports movement across minor administrative divisions. 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 Country of residence 1 year ago 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, n.s. 13000 Northern Africa 13010 Algeria 13020 Egypt/United Arab Rep. 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15199 Western African, n.s. 19990 Africa, n.s. 19991 Central and South Africa 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. Jon 21220 St. Lucia 21230 St. Thomas 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21999 Caribbean, 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, 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 23990 South America, n.s. 23991 Central and South America 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 United States 24041 U.S. Outlying Areas and Territories 24999 North America, n.s. 29990 Americas, other and 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 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 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 33199 Other South-Eastern Asia 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34051 Abkhazia 34052 South Ossetia 34060 Iraq 34070 Israel 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34990 Western Asia, n.s. 34991 Middle East, n.e.c. 39999 Asia, n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41030 Czech Republic 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41999 Eastern Europe, n.e.c. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42110 Sweden 42120 United Kingdom 42999 Northern Europe, n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovina 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43144 Kosovo 43999 Southern Europe, n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44030 France 44040 Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44999 Western Europe, n.e.c. 49990 Europe, n.s. 49991 Central-Eastern Europe 49992 European Union 49993 European Union (original 15) 49994 Other European Union (not original 15) 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) 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53999 Micronesia, n.e.c. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Samoa 54060 Tokelau 54070 Tonga 54080 Tuvalu 54090 Wallis and Futuna Isls. 59999 Oceania, n.s. 60000 Other 90000 Non-migrant (international) 99998 Response suppressed 99999 Unknown MIGCTRY1 indicates the country of residence 1 year ago for international migrants. Persons who did not live abroad 1 year prior are coded to the "non-migrant" category. IPUMS Country of previous residence 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12100 Sao Tome and Principe 12999 Middle Africa, n.s. 13000 Northern Africa 13010 Algeria 13020 Egypt/United Arab Rep. 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13990 Northern Africa, n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15150 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15160 Sierra Leone 15170 Togo 19999 Africa, 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 and the Grenadines 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21999 Caribbean, 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, 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 23990 South America, n.s. 23991 Central and Latin America 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 Saint Pierre and Miquelon 24050 United States 24051 U.S. Outlying Areas and Territories 24999 U.S.A, Canada, Mexico 29999 Americas, 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 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33061 Malaysia and Singapore 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34060 Iraq 34070 Israel 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34190 Middle East, not specified 34191 Arabia 34199 Gulf countries 39999 Asia, n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Albania/Bulgaria/Romania 41030 Czech Republic 41031 Czechoslovakia/Yugoslavia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41999 Eastern Europe, n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42110 Sweden 42120 United Kingdom 42199 Scandinavia 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Serbia and Montenegro 43999 Southern Europe, n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxemburg 44022 Benelux (Belgium/Netherlands/Luxemburg) 44030 France 44040 Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 49990 Europe, n.s. 49991 Central and Eastern Europe 49992 European Union 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51021 New Zealand/New Guinea 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) 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53999 Micronesia, n.e.c. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Samoa 54060 Tokelau 54070 Tonga 54080 Tuvalu 54090 Wallis and Futuna Isls. 59999 Oceania, n.s. 60000 Other 60010 Europe, Australia, New Zealand 60020 Asia and Oceania, n.s. 90000 Non-migrants (International) 99998 Response suppressed 99999 Unknown MIGCTRYP indicates the country of previous residence of international migrants. Persons who never lived abroad are coded to the "non-migrant" category. IPUMS 1st subnational geographic level of residence 1 years prior to survey, world [consistent boundaries over time] 040011 Burgenland [State: Austria] 040012 Niederösterreich [State: Austria] 040013 Wien [State: Austria] 040021 Kärnten [State: Austria] 040022 Steiermark [State: Austria] 040031 Oberösterreich [State: Austria] 040032 Salzburg [State: Austria] 040033 Tirol [State: Austria] 040034 Vorarlberg [State: Austria] 040097 Foreign country [State: Austria] 040099 NIU [State: Austria] 854001 Boucle du Mouhoun [Region: Burkina Faso] 854002 Cascades [Region: Burkina Faso] 854003 Centre [Region: Burkina Faso] 854004 Centre-Est [Region: Burkina Faso] 854005 Centre-Nord [Region: Burkina Faso] 854006 Centre-Ouest [Region: Burkina Faso] 854007 Centre-Sud [Region: Burkina Faso] 854008 Est [Region: Burkina Faso] 854009 Hauts-Bassins [Region: Burkina Faso] 854010 Nord [Region: Burkina Faso] 854011 Plateau Central [Region: Burkina Faso] 854012 Sahel [Region: Burkina Faso] 854013 Sud-Ouest [Region: Burkina Faso] 854997 Abroad [Region: Burkina Faso] 854998 Unknown [Region: Burkina Faso] 854999 NIU [Region: Burkina Faso] 072001 Gaborone [District: Botswana] 072002 Francistown [District: Botswana] 072003 Lobatse [District: Botswana] 072004 Selebi Phikwe [District: Botswana] 072007 Central Tutume, Sowa [District: Botswana] 072010 Ngwaketse, Ngwaketse West, Ngwaketse Southern, Southern, Jwaneng [District: Botswana] 072011 Borolong [District: Botswana] 072020 South East [District: Botswana] 072030 Kweneng, Kweneng South, Kweneng North [District: Botswana] 072040 Kgatleng [District: Botswana] 072050 Central Serowe/Palapye [District: Botswana] 072051 Central Mahalapye [District: Botswana] 072052 Central Bobonong [District: Botswana] 072053 Central Boteti, Orapa [District: Botswana] 072060 North East [District: Botswana] 072070 Ngamiland East [District: Botswana] 072071 Ngamiland West, Delta [District: Botswana] 072072 Chobe [District: Botswana] 072080 Ghanzi, Central Kgalagadi Game Reserve (CKGR) [District: Botswana] 072090 Tshabong (Kgalagadi South) [District: Botswana] 072091 Hukunsti (Kgalagadi North) [District: Botswana] 072092 Botswana, district unknown [District: Botswana] 072097 Abroad [District: Botswana] 072098 Unknown [District: Botswana] 072099 NIU (not in universe) [District: Botswana] 124010 Newfoundland and Labrador [Province: Canada] 124011 Prince Edward Island, Yukon Territory, Northwest Territories, Nunavut [Province: Canada] 124012 Nova Scotia [Province: Canada] 124013 New Brunswick [Province: Canada] 124024 Quebec [Province: Canada] 124035 Ontario [Province: Canada] 124046 Manitoba [Province: Canada] 124047 Saskatchewan [Province: Canada] 124048 Alberta [Province: Canada] 124059 British Columbia [Province: Canada] 124098 Unknown [Province: Canada] 124099 NIU (not in universe) [Province: Canada] 384001 Lagunes, Sud Comoé, Sud Bandama, Agneby [Region: Cote D'Ivoire] 384002 Haut Sassandra, Marahoué, Fromager [Region: Cote D'Ivoire] 384003 Savanes [Region: Cote D'Ivoire] 384004 Vallée du Bandam, Lacs, N'Zi Comoé [Region: Cote D'Ivoire] 384005 Moyen Comoé [Region: Cote D'Ivoire] 384006 Montagnes, Moyen Cavally [Region: Cote D'Ivoire] 384008 Zanzan [Region: Cote D'Ivoire] 384009 Bas Sassandra [Region: Cote D'Ivoire] 384010 Denguele, Worodougou, Bafing [Region: Cote D'Ivoire] 384097 Abroad [Region: Cote D'Ivoire] 384098 Unknown [Region: Cote D'Ivoire] 384099 NIU [Region: Cote D'Ivoire] 300001 Etolia and Akarnania [Department: Greece] 300003 Viotia [Department: Greece] 300004 Evia [Department: Greece] 300005 Evrytania [Department: Greece] 300006 Fthiotida [Department: Greece] 300007 Fokida [Department: Greece] 300011 Argolida [Department: Greece] 300012 Arkadia [Department: Greece] 300013 Achaia [Department: Greece] 300014 Ilia [Department: Greece] 300015 Korinthia [Department: Greece] 300016 Lakonia [Department: Greece] 300017 Messinia [Department: Greece] 300021 Zakynthos [Department: Greece] 300022 Kerkyra [Department: Greece] 300023 Kefallinia [Department: Greece] 300024 Lefkada [Department: Greece] 300031 Arta [Department: Greece] 300032 Thesprotia [Department: Greece] 300033 Ioannina [Department: Greece] 300034 Preveza [Department: Greece] 300041 Karditsa [Department: Greece] 300042 Larissa [Department: Greece] 300043 Magnissia [Department: Greece] 300044 Trikala [Department: Greece] 300051 Grevena [Department: Greece] 300052 Drama [Department: Greece] 300053 Imathia [Department: Greece] 300054 Thessaloniki [Department: Greece] 300055 Kavala [Department: Greece] 300056 Kastoria [Department: Greece] 300057 Kilkis [Department: Greece] 300058 Kozani [Department: Greece] 300059 Pella [Department: Greece] 300061 Pieria [Department: Greece] 300062 Serres [Department: Greece] 300063 Florina [Department: Greece] 300064 Chalkidiki and Agion Oros [Department: Greece] 300071 Evros [Department: Greece] 300072 Xanthi [Department: Greece] 300073 Rodopi [Department: Greece] 300081 Dodekanissos [Department: Greece] 300082 Kyklades [Department: Greece] 300083 Lesvos [Department: Greece] 300084 Samos [Department: Greece] 300085 Chios [Department: Greece] 300091 Iraklio [Department: Greece] 300092 Lassithi [Department: Greece] 300093 Rethymno [Department: Greece] 300094 Chania [Department: Greece] 300101 Prefecture of Athens [Department: Greece] 300102 Prefecture of East Attiki [Department: Greece] 300103 Prefecture of West Attiki [Department: Greece] 300104 Prefecture of Pireas [Department: Greece] 300996 Foreign country [Department: Greece] 300997 Response suppressed [Department: Greece] 300998 Unknown [Department: Greece] 300999 NIU (not in universe) [Department: Greece] 372001 Dublin [Region: Ireland] 372002 Midlands [Region: Ireland] 372003 Mid-East, Border [Region: Ireland] 372004 Mid-West, South-East [Region: Ireland] 372006 West [Region: Ireland] 372008 South West [Region: Ireland] 372096 Ireland, region not specified [Region: Ireland] 372097 Abroad [Region: Ireland] 372098 Unknown [Region: Ireland] 372099 NIU (not in universe) [Region: Ireland] 380001 Piemonte, Valle d'Aosta [Region: Italy] 380003 Lombardia [Region: Italy] 380004 Trentino Alto Adige [Region: Italy] 380005 Veneto [Region: Italy] 380006 Friuli Venezia Giulia [Region: Italy] 380007 Liguria [Region: Italy] 380008 Emilia Romagna, Marche [Region: Italy] 380009 Toscana [Region: Italy] 380010 Umbria [Region: Italy] 380012 Lazio [Region: Italy] 380013 Abruzzo [Region: Italy] 380014 Molise [Region: Italy] 380015 Campania [Region: Italy] 380016 Puglia [Region: Italy] 380017 Basilicata [Region: Italy] 380018 Calabria [Region: Italy] 380019 Sicilia [Region: Italy] 380020 Sardegna [Region: Italy] 380097 Foregin Country [Region: Italy] 380099 NIU [Region: Italy] 404001 Nairobi [Province: Kenya] 404002 Central [Province: Kenya] 404003 Coast [Province: Kenya] 404004 Eastern [Province: Kenya] 404005 Northeastern [Province: Kenya] 404006 Nyanza [Province: Kenya] 404007 Rift Valley [Province: Kenya] 404008 Western [Province: Kenya] 404097 Abroad [Province: Kenya] 404098 Unknown [Province: Kenya] 404099 NIU (not in universe) [Province: Kenya] 454101 Chitipa [District: Malawi] 454102 Karonga [District: Malawi] 454103 Nkhata Bay, Likoma [District: Malawi] 454104 Rumphi [District: Malawi] 454105 Mzimba, Mzuzu city [District: Malawi] 454201 Kasungu [District: Malawi] 454202 Nkhotakota [District: Malawi] 454203 Ntchisi [District: Malawi] 454204 Dowa [District: Malawi] 454205 Salima [District: Malawi] 454206 Lilongwe, Lilongwe city [District: Malawi] 454207 Mchinji [District: Malawi] 454208 Dedza [District: Malawi] 454209 Ntcheu [District: Malawi] 454301 Mangochi [District: Malawi] 454302 Machinga [District: Malawi] 454303 Zomba, Zomba city [District: Malawi] 454304 Chiradzulu [District: Malawi] 454305 Blantyre, Blantyre city [District: Malawi] 454307 Thyolo [District: Malawi] 454308 Mulanje [District: Malawi] 454309 Phalombe [District: Malawi] 454310 Chikwawa [District: Malawi] 454311 Nsanje [District: Malawi] 454312 Balaka [District: Malawi] 454313 Mwanza, Neno [District: Malawi] 454997 Abroad [District: Malawi] 454998 Unknown [District: Malawi] 454999 NIU (not in universe) [District: Malawi] 508001 Niassa [Province: Mozambique] 508002 Cabo Delgado [Province: Mozambique] 508003 Nampula [Province: Mozambique] 508004 Zambézia [Province: Mozambique] 508005 Tete [Province: Mozambique] 508006 Manica [Province: Mozambique] 508007 Sofala [Province: Mozambique] 508008 Inhambane [Province: Mozambique] 508009 Gaza [Province: Mozambique] 508010 Maputo province [Province: Mozambique] 508011 Maputo city [Province: Mozambique] 508097 Foreign Country [Province: Mozambique] 508098 Unknown [Province: Mozambique] 508099 NIU (not in universe) [Province: Mozambique] 598001 Western [Province: Papua New Guinea] 598002 Gulf [Province: Papua New Guinea] 598003 Central [Province: Papua New Guinea] 598004 National Capital District [Province: Papua New Guinea] 598005 Milne Bay [Province: Papua New Guinea] 598006 Northern [Province: Papua New Guinea] 598007 Southern Highlands, Hela [Province: Papua New Guinea] 598008 Enga [Province: Papua New Guinea] 598009 Western Highlands, Jiwaka [Province: Papua New Guinea] 598010 Chimbu [Province: Papua New Guinea] 598011 Eastern Highlands [Province: Papua New Guinea] 598012 Morobe [Province: Papua New Guinea] 598013 Madang [Province: Papua New Guinea] 598014 East Sepik [Province: Papua New Guinea] 598015 West Sepik [Province: Papua New Guinea] 598016 Manus [Province: Papua New Guinea] 598017 New Ireland [Province: Papua New Guinea] 598018 East New Britain [Province: Papua New Guinea] 598019 West New Britain [Province: Papua New Guinea] 598020 Autonomous Region of Bougainville [Province: Papua New Guinea] 598097 Foreign country [Province: Papua New Guinea] 598098 Unknown [Province: Papua New Guinea] 598099 NIU (not in universe) [Province: Papua New Guinea] 616002 Dolnośląskie [Vovoidship (Province): Poland] 616004 Kujawsko pomorskie [Vovoidship (Province): Poland] 616006 Lubelskie [Vovoidship (Province): Poland] 616008 Lubuskie [Vovoidship (Province): Poland] 616010 Łódzkie [Vovoidship (Province): Poland] 616012 Małopolskie [Vovoidship (Province): Poland] 616014 Mazowieckie [Vovoidship (Province): Poland] 616016 Opolskie [Vovoidship (Province): Poland] 616018 Podkarpackie [Vovoidship (Province): Poland] 616020 Podlaskie [Vovoidship (Province): Poland] 616022 Pomorskie [Vovoidship (Province): Poland] 616024 Śląskie [Vovoidship (Province): Poland] 616026 Świętokrzyskie [Vovoidship (Province): Poland] 616028 Warmińsko mazurskie [Vovoidship (Province): Poland] 616030 Wielkopolskie [Vovoidship (Province): Poland] 616032 Zachodniopomorskie [Vovoidship (Province): Poland] 616098 Unknown [Vovoidship (Province): Poland] 616099 NIU (not in universe) [Vovoidship (Province): Poland] 620111 Minho-Lima [Subregion: Portugal] 620112 Cávado [Subregion: Portugal] 620113 Ave [Subregion: Portugal] 620114 Grande Porto [Subregion: Portugal] 620115 Tâmega [Subregion: Portugal] 620116 Entre Douro e Vouga [Subregion: Portugal] 620117 Douro [Subregion: Portugal] 620118 Alto Trás-os-Montes [Subregion: Portugal] 620150 Algarve [Subregion: Portugal] 620161 Baixo Vouga [Subregion: Portugal] 620162 Baixo Mondego [Subregion: Portugal] 620163 Pinhal Litoral [Subregion: Portugal] 620165 Dão-Lafões [Subregion: Portugal] 620166 Oeste [Subregion: Portugal] 620167 Médio Tejo [Subregion: Portugal] 620169 Other Center [Subregion: Portugal] 620171 Grande Lisboa [Subregion: Portugal] 620172 Península de Setúbal [Subregion: Portugal] 620185 Lezíria do Tejo [Subregion: Portugal] 620189 Other Alentejo [Subregion: Portugal] 620200 Região Autónoma dos Açores [Subregion: Portugal] 620300 Região Autónoma da Madeira [Subregion: Portugal] 620998 Foreign country [Subregion: Portugal] 620999 NIU (not in universe) [Subregion: Portugal] 643001 Altai Krai [Region: Russia] 643003 Krasnodar Krai [Region: Russia] 643004 Krasnoyarsk Krai [Region: Russia] 643005 Primorsky Krai [Region: Russia] 643007 Stavropol Krai [Region: Russia] 643008 Khabarovsk Krai [Region: Russia] 643010 Amur Oblast [Region: Russia] 643011 Arkhangelsk Oblast [Region: Russia] 643012 Astrakhan Oblast [Region: Russia] 643013 Nenets Autonomous District 643014 Belgorod Oblast [Region: Russia] 643015 Bryansk Oblast [Region: Russia] 643017 Vladimir Oblast [Region: Russia] 643018 Volgograd Oblast [Region: Russia] 643019 Vologda Oblast [Region: Russia] 643020 Voronezh Oblast [Region: Russia] 643022 Nizhny Novgorod Oblast [Region: Russia] 643024 Ivanovo Oblast [Region: Russia] 643025 Irkutsk Oblast [Region: Russia] 643026 Republic of Ingushetia [Region: Russia] 643027 Kaliningrad Oblast [Region: Russia] 643028 Tver Oblast [Region: Russia] 643029 Kaluga Oblast [Region: Russia] 643030 Kamchatka Krai [Region: Russia] 643032 Kemerovo Oblast [Region: Russia] 643033 Kirov Oblast [Region: Russia] 643034 Kostroma Oblast [Region: Russia] 643036 Samara Oblast [Region: Russia] 643037 Kurgan Oblast [Region: Russia] 643038 Kursk Oblast [Region: Russia] 643040 City of Federal Importance St. Petersburg [Region: Russia] 643041 Leningrad Oblast [Region: Russia] 643042 Lipetsk Oblast [Region: Russia] 643044 Magadan Oblast [Region: Russia] 643045 City of Federal Importance Moscow [Region: Russia] 643046 Moscow Oblast [Region: Russia] 643047 Murmansk Oblast [Region: Russia] 643049 Novgorod Oblast [Region: Russia] 643050 Novosibirsk Oblast [Region: Russia] 643052 Omsk Oblast [Region: Russia] 643053 Orenburg Oblast [Region: Russia] 643054 Oryol Oblast [Region: Russia] 643056 Penza Oblast [Region: Russia] 643057 Perm Krai [Region: Russia] 643058 Pskov Oblast [Region: Russia] 643060 Rostov Oblast [Region: Russia] 643061 Ryazan Oblast [Region: Russia] 643063 Saratov Oblast [Region: Russia] 643064 Sakhalin Oblast [Region: Russia] 643065 Sverdlovsk Oblast [Region: Russia] 643066 Smolensk Oblast [Region: Russia] 643068 Tambov Oblast [Region: Russia] 643069 Tomsk Oblast [Region: Russia] 643070 Tula Oblast [Region: Russia] 643071 Tyumen Oblast [Region: Russia] 643072 Khanty-Mansi Autonomous District - Yugra [Region: Russia] 643073 Ulyanovsk Oblast [Region: Russia] 643074 Yamalo-Nenets Autonomous District [Region: Russia] 643075 Chelyabinsk Oblast [Region: Russia] 643076 Zabaykalsky Krai, Aginsky Buryat District [Region: Russia] 643077 Chukotka Autonomous Region [Region: Russia] 643078 Yaroslavskaya Oblast [Region: Russia] 643079 Republic of Adygea [Region: Russia] 643080 Republic of Bashkortostan [Region: Russia] 643081 Republic of Buryatia [Region: Russia] 643082 Republic of Dagestan [Region: Russia] 643083 Kabardino-Balkaria Republic [Region: Russia] 643084 Altai Republic [Region: Russia] 643085 Republic of Kalmykia [Region: Russia] 643086 Republic of Karelia [Region: Russia] 643087 Komi Republic [Region: Russia] 643088 Mari El Republic [Region: Russia] 643089 Republic of Mordovia [Region: Russia] 643090 Republic of North Ossetia-Alania [Region: Russia] 643091 Karachay-Cherkess Republic [Region: Russia] 643092 Republic of Tatarstan [Region: Russia] 643093 Tyva Republic [Region: Russia] 643094 Udmurtia Republic [Region: Russia] 643095 Republic of Khakassia [Region: Russia] 643096 Chechen Republic [Region: Russia] 643097 Chuvash Republic [Region: Russia] 643098 Republic of Sakha (Yakutia) [Region: Russia] 643099 Jewish Autonomous Region [Region: Russia] 643997 Foreign Country [Region: Russia] 643998 Unknown [Region: Russia] 643999 NIU [Region: Russia] 686001 Dakar [Region: Senegal] 686002 Ziguinchor [Region: Senegal] 686003 Diourbel [Region: Senegal] 686004 Saint Louis, Louga, Matam [Region: Senegal] 686005 Tambacounda, Kedougou [Region: Senegal] 686006 Kaolack, Fatick, Kaffrine [Region: Senegal] 686007 Thiès [Region: Senegal] 686010 Kolda, Sedhiou [Region: Senegal] 686097 Abroad [Region: Senegal] 686099 NIU (not in universe) [Region: Senegal] 724011 Galicia [Communities & autonomous city: Spain] 724012 Principado de Asturias [Communities & autonomous city: Spain] 724013 Cantabria [Communities & autonomous city: Spain] 724021 País Vasco [Communities & autonomous city: Spain] 724022 Comunidad Foral de Navarra [Communities & autonomous city: Spain] 724023 La Rioja [Communities & autonomous city: Spain] 724024 Aragón [Communities & autonomous city: Spain] 724030 Comunidad de Madrid [Communities & autonomous city: Spain] 724041 Castilla y León [Communities & autonomous city: Spain] 724042 Castilla-La Mancha [Communities & autonomous city: Spain] 724043 Extremadura [Communities & autonomous city: Spain] 724051 Cataluña [Communities & autonomous city: Spain] 724052 Comunidad Valenciana [Communities & autonomous city: Spain] 724053 Islas Baleares [Communities & autonomous city: Spain] 724061 Andalucía [Communities & autonomous city: Spain] 724062 Región de Murcia [Communities & autonomous city: Spain] 724063 Ciudad Autónoma de Ceuta [Communities & autonomous city: Spain] 724064 Ciudad Autónoma de Melilla [Communities & autonomous city: Spain] 724070 Canarias [Communities & autonomous city: Spain] 724097 Foreign country [Communities & autonomous city: Spain] 724999 NIU (not in universe) [Communities & autonomous city: Spain] 728011 Northern [State:South Sudan] 728012 Nahr El Nil [State:South Sudan] 728021 Red Sea [State:South Sudan] 728022 Kassala [State:South Sudan] 728023 Al Gedarif [State:South Sudan] 728031 Khartoum [State:South Sudan] 728041 Al Gezira [State:South Sudan] 728042 White Nile [State:South Sudan] 728043 Sinnar [State:South Sudan] 728044 Blue Nile [State:South Sudan] 728051 North Kordofan [State:South Sudan] 728052 South Kordofan [State:South Sudan] 728061 North Darfur [State:South Sudan] 728062 West Darfur [State:South Sudan] 728063 South Darfur [State:South Sudan] 728071 Upper Nile [State: South Sudan] 728072 Jonglei [State: South Sudan] 728073 Unity [State: South Sudan] 728081 Warrap [State: South Sudan] 728082 Northern Bahr El Ghazal [State: South Sudan] 728083 Western Bahr El Ghazal [State: South Sudan] 728084 Lakes [State: South Sudan] 728091 Western Equatoria [State: South Sudan] 728092 Central Equatoria [State: South Sudan] 728093 Eastern Equatoria [State: South Sudan] 728098 Abroad [State: South Sudan] 728099 NIU (Not in universe) [State: South Sudan] 729011 Northern [State: Sudan] 729012 Nahr El Nil [State: Sudan] 729021 Red Sea [State: Sudan] 729022 Kassala [State: Sudan] 729023 Al Gedarif [State: Sudan] 729031 Khartoum [State: Sudan] 729041 Al Gezira [State: Sudan] 729042 White Nile [State: Sudan] 729043 Sinnar [State: Sudan] 729044 Blue Nile [State: Sudan] 729051 North Kordofan [State: Sudan] 729052 South Kordofan [State: Sudan] 729061 North Darfur [State: Sudan] 729062 West Darfur [State: Sudan] 729063 South Darfur [State: Sudan] 729071 Upper Nile [State: Sudan] 729072 Jonglei [State: Sudan] 729073 Unity [State: Sudan] 729081 Warrap [State: Sudan] 729082 Northern Bahr El Ghazal [State: Sudan] 729083 Western Bahr El Ghazal [State: Sudan] 729084 Lakes [State: Sudan] 729091 Western Equatoria [State: Sudan] 729092 Central Equatoria [State: Sudan] 729093 Eastern Equatoria [State: Sudan] 729098 Abroad [State: Sudan] 780010 Port of Spain [Region: Trinidad and Tobago] 780020 San Fernando [Region: Trinidad and Tobago] 780080 Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin, Caroni, St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago] 780094 St. Paul, St. Mary, St. David, St. George, St. Patrick, St. Andrew, St. John, Tobago [Region: Trinidad and Tobago] 780098 Unknown [Region: Trinidad and Tobago] 780099 NIU (not in universe) [Region: Trinidad and Tobago] 826101 North East [Region: United Kingdom] 826102 North West [Region: United Kingdom] 826103 Yorkshire and the Humber [Region: United Kingdom] 826104 East Midlands [Region: United Kingdom] 826105 West Midlands [Region: United Kingdom] 826106 East of England [Region: United Kingdom] 826107 South East [Region: United Kingdom] 826108 South West [Region: United Kingdom] 826110 Outer London, Inner London [Region: United Kingdom] 826111 Scotland [Region: United Kingdom] 826112 Wales [Region: United Kingdom] 826113 Northern Ireland [Region: United Kingdom] 826197 Other country [Region: United Kingdom] 826198 Unknown [Region: United Kingdom] 826199 NIU (not in universe) [Region: United Kingdom] 834001 Dodoma [Region: Tanzania] 834002 Arusha, Manyara [Region: Tanzania] 834003 Kilimanjaro [Region: Tanzania] 834004 Tanga [Region: Tanzania] 834005 Morogoro [Region: Tanzania] 834006 Pwani [Region: Tanzania] 834007 Dar es Salaam [Region: Tanzania] 834008 Lindi [Region: Tanzania] 834009 Mtwara [Region: Tanzania] 834010 Ruvuma [Region: Tanzania] 834011 Iringa, Njombe [Region: Tanzania] 834012 Mbeya [Region: Tanzania] 834013 Singida [Region: Tanzania] 834014 Tabora [Region: Tanzania] 834015 Katavi, Rukwa [Region: Tanzania] 834016 Kigoma [Region: Tanzania] 834019 Geita, Kagera, Mwanza, Shinyanga, Simiyu [Region: Tanzania] 834020 Mara [Region: Tanzania] 834051 Zanzibar North [Region: Tanzania] 834052 Zanzibar South [Region: Tanzania] 834053 Zanzibar Town/West [Region: Tanzania] 834054 Pemba North [Region: Tanzania] 834055 Pemba South [Region: Tanzania] 834097 Abroad [Region: Tanzania] 834098 Unknown [Region: Tanzania] 834099 NIU (not in universe) [Region: Tanzania] 840001 Alabama [State: United States] 840002 Alaska [State: United States] 840004 Arizona [State: United States] 840005 Arkansas [State: United States] 840006 California [State: United States] 840008 Colorado [State: United States] 840009 Connecticut [State: United States] 840010 Delaware [State: United States] 840011 District of Columbia [State: United States] 840012 Florida [State: United States] 840013 Georgia [State: United States] 840015 Hawaii [State: United States] 840016 Idaho [State: United States] 840017 Illinois [State: United States] 840018 Indiana [State: United States] 840019 Iowa [State: United States] 840020 Kansas [State: United States] 840021 Kentucky [State: United States] 840022 Louisiana [State: United States] 840023 Maine [State: United States] 840024 Maryland [State: United States] 840025 Massachusetts [State: United States] 840026 Michigan [State: United States] 840027 Minnesota [State: United States] 840028 Mississippi [State: United States] 840029 Missouri [State: United States] 840030 Montana [State: United States] 840031 Nebraska [State: United States] 840032 Nevada [State: United States] 840033 New Hampshire [State: United States] 840034 New Jersey [State: United States] 840035 New Mexico [State: United States] 840036 New York [State: United States] 840037 North Carolina [State: United States] 840038 North Dakota [State: United States] 840039 Ohio [State: United States] 840040 Oklahoma [State: United States] 840041 Oregon [State: United States] 840042 Pennsylvania [State: United States] 840044 Rhode Island [State: United States] 840045 South Carolina [State: United States] 840046 South Dakota [State: United States] 840047 Tennessee [State: United States] 840048 Texas [State: United States] 840049 Utah [State: United States] 840050 Vermont [State: United States] 840051 Virginia [State: United States] 840053 Washington [State: United States] 840054 West Virginia [State: United States] 840055 Wisconsin [State: United States] 840056 Wyoming [State: United States] 840097 Abroad [State: United States] 840999 NIU (not in universe) [State: United States] 894001 Central [Province: Zambia] 894002 Copperbelt [Province: Zambia] 894003 Eastern, Muchinga, Northern [Province: Zambia] 894004 Luapula [Province: Zambia] 894005 Lusaka [Province: Zambia] 894008 North Western [Province: Zambia] 894009 Southern [Province: Zambia] 894010 Western [Province: Zambia] 894097 Foreign country [Province: Zambia] 894098 Unknown [Province: Zambia] 894099 NIU (not in universe) [Province: Zambia] GEOMIG1_1 indicates the major administrative unit in which the person resided one year prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of residence one year ago, to enable comparative analysis of subnational migration. Foreign migrants are coded 097 or 997. Codes for GEOMIG1_1 match the geographic codes in GEOLEV1 (current place of residence). For similar information for different time intervals since migration, see variables GEOMIG1_P, GEOMIG1_5, and GEOMIG1_10. More on migration and geography can be found here. 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 Voivodship of residence 1 year ago, Poland; consistent boundaries, GIS 616002 Dolnośląskie 616004 Kujawsko pomorskie 616006 Lubelskie 616008 Lubuskie 616010 Łódzkie 616012 Małopolskie 616014 Mazowieckie 616016 Opolskie 616018 Podkarpackie 616020 Podlaskie 616022 Pomorskie 616024 Śląskie 616026 Świętokrzyskie 616028 Warmińsko mazurskie 616030 Wielkopolskie 616032 Zachodniopomorskie 616098 Unknown 616099 NIU (not in universe) MIG1_1_PL indicates the person's voivodship of residence 1 year ago within Poland. 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 Disability status NIU (not in universe) 1 Yes, disabled 2 No, not disabled 9 Unknown DISABLED indicates whether the person reported a disability of any kind. IPUMS Person number (within household) Person number (0-15) </p> <div class="i1">____ Family name and given name<br />____ Year of birth <br />____ Relationship to the head of the household<br />____ Number of private household</div><div class="i2">Number of holders of an agricultural farm (plots of land) in the dwelling ___________</div> Poland 2002: All records 00 Household record 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 This variable indicates the person number within the household. IPUMS Person number Person number (0-15) </p> <div class="i1">____ Family name and given name<br />____ Year of birth <br />____ Relationship to the head of the household<br />____ Number of private household</div><div class="i2">Number of holders of an agricultural farm (plots of land) in the dwelling ___________</div> Poland 2002: 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 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 39 39 40 40 41 41 42 42 43 43 45 45 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 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 99 37 37 38 38 44 44 46 46 77 77 This variable indicates the person number. IPUMS Population of the administrative unit Poland 2002: All persons 1 200,000 to 499,999 2 100,000 to 199,999 3 50,000 to 99,999 4 20,000 to 49,999 5 10,000 to 19,999 6 7,000 to 9,999 7 5,000 to 6,999 8 2,000 to 4,999 9 Less than 2,000 persons This variable indicates the population of the administrative unit in number of persons. IPUMS Type of collective housing 8. Type of enumerated housing unit:</p> <div class="i1">[] 1 Dwelling - a portion of space within a building, set of rooms or one room, including auxiliary rooms, regardless if swelling on basis one or more than one legal title<br /><br />[] 2 Occupied other living quarter (fill in type of quarter or object) ____</div><div class="i2">It is a quarter not adapted to housing conditions and occupied temporarily (e.g. attic, launderette, drying room), moving object (e.g. barrack, caravan, barge) or other quarter, which during the census is place of residence of an enumerated person</div><div class="i1">[] 3 Collective living quarter (fill in the full name) ____</div><div class="i2">It is an object in which stay one more persons, for example: dormitory, hall of residence, workers' hostel, orphanage, borstal, old people's home, humanitarian aid home, convent home, nunnery, hospital, sanatorium, hostel, hotel, motel, guest house or other place</div><div class="i1">____ Symbol of the type of collective living quarter</div> Poland 2002: Persons in collective households [discrepancies: none] 00 NIU (not in universe) 01 Boarding schools 02 Dormitories 03 Hotels for workers 04 Orphanages 05 Other institutions taking care of children 06 Community homes for pensioners and old people 07 Community homes for pregnant women and single mothers 08 Nursing homes for chronically ill or disabled 09 Mental hospital, detoxification centers, nursing homes for drug addicts 10 Monasteries, presbyteries, etc. 11 Shelters for homeless, other collectives of homeless 12 Other collective housing objects This variable indicates the type of collective housing. IPUMS Age <span class="em">2. Date of birth</span><div class="i1">_ _ Day<br />_ _ Month<br />_ _ _ _ Year</div> Poland 2002: All persons 000 0 years 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 99 100 100 101 101 102 102 103 103+ 999 Unknown This variable indicates the age of the person. IPUMS Age in 5-years age groups <span class="em">2. Date of birth</span><div class="i1">_ _ Day<br />_ _ Month<br />_ _ _ _ Year</div> Poland 2002: All persons 01 0 to 4 years 02 5 to 9 03 10 to 14 04 15 to 19 05 20 to 24 06 25 to 29 07 30 to 34 08 35 to 39 09 40 to 44 10 45 to 49 11 50 to 54 12 55 to 59 13 60 to 64 14 65 to 69 15 70 to 74 16 75 to 79 17 80 to 84 18 85 to 89 19 90 to 94 20 95 to 99 21 100+ years 99 Unknown Age: 5-year-age groups. IPUMS Birth month <span class="em">2. Date of birth</span><div class="i1">_ _ Day<br />_ _ Month<br />_ _ _ _ Year</div> Poland 2002: 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 person’s birth month. IPUMS Birth year <span class="em">2. Date of birth</span><div class="i1">_ _ Day<br />_ _ Month<br />_ _ _ _ Year</div> Poland 2002: All persons 1899 1899 or before 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 9999 Unknown This variable indicates the person’s birth year. IPUMS Sex <span class="em">3. Sex</span><div class="i1">[] 1 Male<br />[] 2 Female</div> Poland 2002: All persons 1 Male 2 Female This variable indicates the person’s sex. IPUMS Legal marital status <span class="em">8. What is your legal marital status? (Persons age 15 and up) </span><div class="i1">Concern persons born in 1987 and earlier. If the answer is: 2 or 3 or 6 go to question 9; 1 or 4 or 5 go to question 10<br /><br />[] 1 Single (never married), go to question 10<br />[] 2 Legally married (and living together), go to question 9<br />[] 3 Legally married (living separately), go to question 9 <br />[] 4 Widower - widow, go to question 10<br />[] 5 Divorced, go to question 10 <br />[] 6 Legally separated (de jure status), go to question 9</div> Poland 2002: Persons age 15+ [discrepancies: none] NIU (not in universe) 1 Single (never married) 2 Legally married and living together 3 Legally married and living separately 4 Widower or widow 5 Divorced 6 Legally separated 9 Unknown This variable indicates the person’s legal marital status. IPUMS Year of contracting the marriage <span class="em">9. When a current marriage was contracted? (civil or religious) </span><div class="i1">_ _ Month<br />_ _ _ _ Year</div> Poland 2002: Persons age 15+ who are legally married or separated [discrepancies: none] 0000 NIU (not in universe) 1931 1931 or before 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 9999 Unknown This variable indicates the year of contracting the marriage for legally married or legally separated persons. IPUMS De facto marital status <span class="em">8. What is your legal marital status? (Persons age 15 and up) </span><div class="i1">Concern persons born in 1987 and earlier. If the answer is: 2 or 3 or 6 go to question 9; 1 or 4 or 5 go to question 10<br /><br />[] 1 Single (never married), go to question 10<br />[] 2 Legally married (and living together), go to question 9<br />[] 3 Legally married (living separately), go to question 9 <br />[] 4 Widower - widow, go to question 10<br />[] 5 Divorced, go to question 10 <br />[] 6 Legally separated (de jure status), go to question 9</div> Poland 2002: Persons age 15+ [discrepancies: none] NIU (not in universe) 1 Single (never married) 2 Married and living together with a spouse 3 Common-law partnership 4 Widower or widow 5 Divorced 6 Legally separated 7 Married but living separately 9 Unknown This variable indicates the person’s de facto marital status. IPUMS Age at marriage <span class="em">2. Date of birth</span><div class="i1">_ _ Day<br />_ _ Month<br />_ _ _ _ Year</div><span class="em">9. When a current marriage was contracted? (civil or religious) </span><div class="i1">_ _ Month<br />_ _ _ _ Year</div> Poland 2002: Persons age 15+ who are legally married or separated [discrepancies: none] 00 NIU (not in universe) 12 12 to 13 years old 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 99 Unknown This variable indicates the age at marriage for persons that are legally married or legally separated. IPUMS Level of education completed <span class="em">10. What is your education level? </span><div class="i1">(Give the highest level of education completed in the education system)<br /><br /><span class="ital">Higher Education:</span><br />[] 1 At least doctorate <br />[] 2 Master's degree, degree in medicine or equivalent<br />[] 3 Non-university certificate or diploma (technical institute, licentiate or bachelor or economist)<br /><br /><span class="ital">Post-Secondary:</span><br />[] 4 Post-secondary with secondary school certificate <br />[] 5 Post-secondary without secondary school certificate <br /><br /><span class="ital">Secondary</span><br />[] 6 Vocational and technical with certificate<br />[] 7 Vocational without certificate<br />[] 8 General with certificate <br />[] 9 General without certificate <br />[] 10 Basic vocational <br /><br /><span class="ital">Primary</span><br />[] 11 Primary completed<br /><br /><span class="ital">Others</span><br />[] 12 Primary not completed and no school education</div> Poland 2002: Persons age 12+ [discrepancies: type I none; type II 0.6%] 00 NIU (not in universe) 01 Doctorate degree 02 Master's degree, degree in medicine or equivalent 03 Non-university certificate or diploma (technical institute, licentiate, bachelor or economist) 04 Post-secondary with secondary school certificate 05 Post-secondary without secondary school certificate 06 Vocational secondary and technical with certificate 07 Vocational secondary without certificate 08 General secondary with certificate 09 General secondary without certificate 10 Vocational 11 Primary completed 12 Primary not completed and no school education 99 Unknown This variable indicates the highest level of education completed. IPUMS Disability <span class="em">12. Are you limited completely or seriously in basic activities of daily life (up to your age), because of disability or chronic disease? </span><div class="i1">[] 1 Yes, completely<br />[] 2 Yes, seriously<br />[] 3 No</div> Poland 2002: All persons 1 Limited completely in basic activities of daily life 2 Limited seriously in basic activities of daily life 3 Not limited 9 Unknown This variable indicates whether the person enumerated has a disability, and the level of the disability. IPUMS Valid certificate of disability <span class="em">13. Do you have a valid certificate of disability?</span><div class="i1">[] 1 Yes, go to question 14<br />[] 2 No, go to question 15</div> Poland 2002: All persons 1 Yes 2 No 9 Unknown This variable indicates whether the person enumerated possesses a valid certificate of disability. IPUMS Place of birth <span class="em">15. What is the country of your birth?</span><div class="i1">Please give the name of the country of your birth on the basis of international boundaries existing at the time of the census<br /><br />[] 1 Poland<br />[] 2 Other country (specify)</div><div class="i2">Name of country ____</div> Poland 2002: All persons 1 Poland 2 Abroad 9 Unknown This variable indicates the place of birth (either in Poland or abroad). IPUMS Country of birth <span class="em">15. What is the country of your birth?</span><div class="i1">Please give the name of the country of your birth on the basis of international boundaries existing at the time of the census<br /><br />[] 1 Poland<br />[] 2 Other country (specify)</div><div class="i2">Name of country ____</div> Poland 2002: All persons 012 Algeria 031 Azerbaijan 036 Australia 040 Austria 051 Armenia 056 Belgium 070 Bosnia and Herzegovina 100 Bulgaria 112 Belarus 124 Canada 156 China 191 Croatia 203 Czech Republic 208 Denmark 233 Estonia 250 France 268 Georgia 276 Germany 300 Greece 348 Hungary 356 India 368 Iraq 376 Israel 380 Italy 392 Japan 398 Kazakhstan 422 Lebanon 428 Latvia 434 Libya 440 Lithuania 498 Moldova 528 Netherlands 578 Norway 616 Poland 642 Romania 643 Russia 703 Slovakia 704 Vietnam 710 Republic of South Africa 724 Spain 752 Sweden 756 Switzerland 760 Syria 792 Turkey 804 Ukraine 807 Macedonia 826 United Kingdom 840 United States 860 Uzbekistan 891 Yugoslavia 991 Africa, other countries 992 America, other countries 993 Asia, other countries 994 Europe, other countries 995 Oceania, other countries 999 Unknown This variable indicates the country of birth. IPUMS Citizenship <span class="em">16. What is your citizenship?</span><div class="i1">If the answer is 2 or 3 - give the name of the country (ies) of citizenship<br /><br />[] 1 Polish (only)<br />[] 2 Both - Polish and other (specify) ________<br />[] 3 Only others (specify)</div><div class="i2">________ Name of country<br />________ Name of country</div> Poland 2002: All persons 1 Polish 2 Both polish and other citizenship 3 Only other citizenship 9 Unknown This variable indicates the citizenship of the person enumerated. IPUMS Country of citizenship <span class="em">16. What is your citizenship?</span><div class="i1">If the answer is 2 or 3 - give the name of the country (ies) of citizenship<br /><br />[] 1 Polish (only)<br />[] 2 Both - Polish and other (specify) ________<br />[] 3 Only others (specify)</div><div class="i2">________ Name of country<br />________ Name of country</div> Poland 2002: All persons 040 Austria 051 Armenia 100 Bulgaria 112 Belarus 124 Canada 203 Czech Republic 250 France 276 Germany 300 Greece 348 Hungary 380 Italy 440 Lithuania 528 Netherlands 616 Poland 643 Russia 703 Slovakia 704 Vietnam 752 Sweden 760 Syria 804 Ukraine 826 United Kingdom 840 United States 891 Yugoslavia 991 Africa, other countries 992 America, other countries 993 Asia, other countries 994 Europe, other countries 995 Oceania 997 No citizenship 999 Unknown This variable indicates the country of citizenship for the person enumerated. IPUMS Second country of citizenship <span class="em">16. What is your citizenship?</span><div class="i1">If the answer is 2 or 3 - give the name of the country (ies) of citizenship<br /><br />[] 1 Polish (only)<br />[] 2 Both - Polish and other (specify) ________<br />[] 3 Only others (specify)</div><div class="i2">________ Name of country<br />________ Name of country</div> Poland 2002: Persons with dual citizenship [discrepancies: type I trace, type II none] 000 NIU (not in universe) 036 Australia 040 Austria 056 Belgium 100 Bulgaria 112 Belarus 124 Canada 208 Denmark 250 France 276 Germany 300 Greece 348 Hungary 380 Italy 528 Netherlands 578 Norway 643 Russia 704 Vietnam 710 Republic of South Africa 724 Spain 752 Sweden 756 Switzerland 760 Syria 792 Turkey 804 Ukraine 826 United Kingdom 840 United States 991 Africa, other countries 992 America, other countries 993 Asia, other countries 994 Europe, other countries 995 Oceania, other countries 999 Unknown This variable indicates the second country of citizenship for persons with dual citizenship status. IPUMS Type of citizenship <span class="em">15. What is the country of your birth?</span><div class="i1">Please give the name of the country of your birth on the basis of international boundaries existing at the time of the census<br /><br />[] 1 Poland<br />[] 2 Other country (specify)</div><div class="i2">Name of country ____</div> Poland 2002: All persons 1 Polish only 2 Both polish and other 3 Not polish, one or multiple citizenships 5 No citizenship 9 Unknown This variable indicates the type of citizenship of the person enumerated. IPUMS Citizenship and the country of birth <span class="em">15. What is the country of your birth?</span><div class="i1">Please give the name of the country of your birth on the basis of international boundaries existing at the time of the census<br /><br />[] 1 Poland<br />[] 2 Other country (specify)</div><div class="i2">Name of country ____</div><span class="em">16. What is your citizenship?</span><div class="i1">If the answer is 2 or 3 - give the name of the country (ies) of citizenship<br /><br />[] 1 Polish (only)<br />[] 2 Both - Polish and other (specify) ________<br />[] 3 Only others (specify)</div><div class="i2">________ Name of country<br />________ Name of country</div> Poland 2002: All persons 1 Citizens of Poland born in Poland 2 Citizens of Poland born abroad 3 Citizens of Poland with not known place of birth 4 Foreigners born in Poland 5 Foreigners born abroad 6 Foreigners with unknown place of birth 7 Persons with unspecified citizenship born in Poland 8 Persons with unspecified citizenship born abroad 9 Persons with unspecified citizenship with unknown place of birth This variable categorizes persons according to citizenship and the country of birth. IPUMS Language spoken at home <span class="em">34. What is your language most frequently spoken at home? </span><div class="i1">If the answer is 2 or 3 - fill in the name of one or two languages.<br /><br />[] 1 Polish only<br />[] 2 Both Polish and other</div><div class="i2">Name of non- polish language: ____</div><div class="i1">[] 3 Only other language (specify)</div><div class="i2">____ Name of non-polish language<br />____ Name of non-polish language</div> Poland 2002: All persons 1 Polish only 2 Polish and other 3 Other languague only 9 Unknown This variable indicates the language spoken at home. IPUMS First foreign language spoken <span class="em">34. What is your language most frequently spoken at home? </span><div class="i1">If the answer is 2 or 3 - fill in the name of one or two languages.<br /><br />[] 1 Polish only<br />[] 2 Both Polish and other</div><div class="i2">Name of non- polish language: ____</div><div class="i1">[] 3 Only other language (specify)</div><div class="i2">____ Name of non-polish language<br />____ Name of non-polish language</div> Poland 2002: Persons who speak a foreign language at home [discrepancies: type I none, type II trace] 00 NIU (not in universe) 04 English 05 Arabian 09 Belarusian 11 Bulgarian 13 Croatian 15 Czech 16 Danish 19 Flemish 20 French 22 Greek 26 Spanish 31 Japanese 35 Kashubian 44 Lithuanian 52 Dutch 53 German 54 Norwegian 55 Ormian 59 Romani 60 Russian 61 Rumanian 62 Serbian 64 Slovak 71 Swedish 76 Turkish 78 Ukrainian 82 Hungarian 83 Vietnamese 84 Italian 86 Rusyn 89 Silesian 98 Other language 99 Unknown This variable indicates the first foreign language spoken for those who speak a foreign language at home. IPUMS Second foreign language spoken <span class="em">34. What is your language most frequently spoken at home? </span><div class="i1">If the answer is 2 or 3 - fill in the name of one or two languages.<br /><br />[] 1 Polish only<br />[] 2 Both Polish and other</div><div class="i2">Name of non- polish language: ____</div><div class="i1">[] 3 Only other language (specify)</div><div class="i2">____ Name of non-polish language<br />____ Name of non-polish language</div> Poland 2002: Persons who speak a foreign language at home [discrepancies: type I none, type II 1.4%] 00 NIU (not in universe) 04 English 20 French 26 Spanish 53 German 60 Russian 78 Ukrainian 84 Italian 89 Silesian 98 Other language 99 No second foreign language or unknown This variable indicates the second foreign language spoken for those who speak multiple foreign languages at home. IPUMS Present and absent persons <span class="em">4. Do you live here permanently and were you present or absent on May 20th at midnight or do you stay here temporarily?</span><div class="i1">If the answer is: 1 go to question 7; 3 give the name of the country of staying; 5 give the name of the country of origin<br /><br />[] 1 Live permanently - present - question 7<br />[] 2 Live permanently - absent</div><div class="i2">Stay in other place in Poland</div><div class="i1">[] 3 Live permanently - absent</div><div class="i2">Stay abroad: Name of the country ____</div><div class="i1">[] 4 Stay temporarily - arrived from other place in Poland<br />[] 5 Stay temporarily - arrived from abroad</div><div class="i2">Name of the country ____</div> Poland 2002: All persons 1 Lives permanently and present 2 Lives permantenly and absent, staying in another place in Poland 3 Lives permantenly and absent, staying abroad 4 Stays temporarily, arrived from other place in Poland This variable indicates whether the enumerated person is present, absent, or staying temporarily at the locality. IPUMS Country of staying or previous residence <span class="em">4. Do you live here permanently and were you present or absent on May 20th at midnight or do you stay here temporarily?</span><div class="i1">If the answer is: 1 go to question 7; 3 give the name of the country of staying; 5 give the name of the country of origin<br /><br />[] 1 Live permanently - present - question 7<br />[] 2 Live permanently - absent</div><div class="i2">Stay in other place in Poland</div><div class="i1">[] 3 Live permanently - absent</div><div class="i2">Stay abroad: Name of the country ____</div><div class="i1">[] 4 Stay temporarily - arrived from other place in Poland<br />[] 5 Stay temporarily - arrived from abroad</div><div class="i2">Name of the country ____</div> Poland 2002: Persons who reside permanently abroad [discrepancies: none] 000 NIU (not in universe) 036 Australia 040 Austria 056 Belgium 076 Brazil 100 Bulgaria 112 Belarus 124 Canada 156 China 191 Croatia 203 Czech Republic 208 Denmark 246 Finland 250 France 276 Germany 300 Greece 348 Hungary 352 Iceland 372 Ireland 376 Israel 380 Italy 392 Japan 422 Lebanon 434 Libya 440 Lithuania 442 Luxembourg 484 Mexico 528 Netherlands 554 New Zealand 578 Norway 620 Portugal 643 Russia 703 Slovakia 710 Republic of South Africa 724 Spain 752 Sweden 756 Switzerland 760 Syria 784 United Arab Emirates 792 Turkey 804 Ukraine 826 United Kingdom 840 United States 891 Yugoslavia 991 Africa, other countries 992 America, other countries 993 Asia, other countries 994 Europe, other countries 995 Oceania, other countries 999 Unknown This variable indicates the country of previous residence. IPUMS Duration of absence or temporary stay <span class="em">5. What is the real duration of your absence or staying? </span><div class="i1">If the answer is: <span class="em">1</span> in question 5, and <span class="em">2 or 3</span> in question 4 go to question 7; <span class="em">4</span> in question 5 - if the person stay abroad or arrived from abroad - fill in the year of departure / arriving<br /><br />[] 1 Up to 2 months <br />[] 2 Between 2 and 6 months <br />[] 3 Between 6 and 12 months <br />[] 4 12 months and more</div><div class="i2">Year of departure / arriving _ _ _ _</div> Poland 2002: Persons who are staying temporarily or permanently absent [discrepancies: none] NIU (not in universe) 1 Less than or equal to 2 months 2 2 to 6 months 3 6 to 12 months 4 12+ months This variable indicates the duration of stay (in months) for persons who are staying temporarily at the locality. IPUMS Year of departure or arrival to temporary stay <span class="em">5. What is the real duration of your absence or staying? </span><div class="i1">If the answer is: <span class="em">1</span> in question 5, and <span class="em">2 or 3</span> in question 4 go to question 7; <span class="em">4</span> in question 5 - if the person stay abroad or arrived from abroad - fill in the year of departure / arriving<br /><br />[] 1 Up to 2 months <br />[] 2 Between 2 and 6 months <br />[] 3 Between 6 and 12 months <br />[] 4 12 months and more</div><div class="i2">Year of departure / arriving _ _ _ _</div> Poland 2002: Persons residing abroad for more than 12 months [discrepancies: none] 0000 NIU (not in universe) 1969 1969 or before 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 9999 Unknown This variable indicates the year of arrival for persons who are staying temporarily at the locality. IPUMS Reason for absence or temporary stay <span class="em">6. What is the reason of your absence or staying?</span><div class="i1">If the answer is: 1 in the question 5 and 4 or 5 in question 4 - finish enumeration of this person<br /><br />[] 1 Education <br />[] 2 Work<br />[] 3 Family reasons <br />[] 4 Treatment, convalescence<br />[] 5 Living conditions <br />[] 6 Living in health care institution (for child or adult)<br />[] 7 Other (military)<br />[] 8 Refugee (for foreigners) <br />[] 9 Other reasons (specify) ____</div> Poland 2002: Persons who are permanently absent or temporarily staying for more than 2 months [discrepancies: none] NIU (not in universe) 1 Education 2 Work 3 Family reasons 4 Treatment or convalescence 5 Living conditions 6 Living in health care institution (for children or adult) 7 Military service or imprisoned 8 Other reasons 9 Unknown This variable indicates the person’s reason for being absent during the enumeration period. IPUMS Other reasons for absence or temporary stay <span class="em">6. What is the reason of your absence or staying?</span><div class="i1">If the answer is: 1 in the question 5 and 4 or 5 in question 4 - finish enumeration of this person<br /><br />[] 1 Education <br />[] 2 Work<br />[] 3 Family reasons <br />[] 4 Treatment, convalescence<br />[] 5 Living conditions <br />[] 6 Living in health care institution (for child or adult)<br />[] 7 Other (military)<br />[] 8 Refugee (for foreigners) <br />[] 9 Other reasons (specify) ____</div> Poland 2002: Persons whose absence was caused by other reasons [discrepancies: none] NIU (not in universe) 1 Eviction 2 Check-out (to nowhere) 3 Homelessness 4 Others (short term visits, holidays, etc.) This variable indicates the additional reasons for being absent during the enumeration period that were not otherwise specified. IPUMS Time spent abroad <span class="em">4. Do you live here permanently and were you present or absent on May 20th at midnight or do you stay here temporarily?</span><div class="i1">If the answer is: 1 go to question 7; 3 give the name of the country of staying; 5 give the name of the country of origin<br /><br />[] 1 Live permanently - present - question 7<br />[] 2 Live permanently - absent</div><div class="i2">Stay in other place in Poland</div><div class="i1">[] 3 Live permanently - absent</div><div class="i2">Stay abroad: Name of the country ____</div><div class="i1">[] 4 Stay temporarily - arrived from other place in Poland<br />[] 5 Stay temporarily - arrived from abroad</div><div class="i2">Name of the country ____</div><span class="em">5. What is the real duration of your absence or staying? </span><div class="i1">If the answer is: <span class="em">1</span> in question 5, and <span class="em">2 or 3</span> in question 4 go to question 7; <span class="em">4</span> in question 5 - if the person stay abroad or arrived from abroad - fill in the year of departure / arriving<br /><br />[] 1 Up to 2 months <br />[] 2 Between 2 and 6 months <br />[] 3 Between 6 and 12 months <br />[] 4 12 months and more</div><div class="i2">Year of departure / arriving _ _ _ _</div> Poland 2002: Persons who reside abroad [discrepancies: none] NIU (not in universe) 1 Staying abroad temporarily for 2 months or less 2 Staying abroad temporarily for 2 to 6 months 3 Staying abroad temporarily for 6 to12 months 4 Staying abroad temporarily for 1 to 3 years 5 Staying abroad temporarily for 4 to 5 years 6 Staying abroad temporarily for 6 to 9 years 7 Staying abroad temporarily for 10+ years 9 Unknown This variable indicates this amount of time a person living permanently in the locality was absent due to being abroad. IPUMS Voivodship of residence one year ago Poland 2002: Persons age 1+ excluding those living abroad for 1 year or more [discrepancies: type I none, type II trace] 00 NIU (not in universe) 02 Dolnoslaskie 04 Kujawsko-pomorskie 06 Lubelskie 08 Lubuskie 10 Lódzkie 12 Malopolskie 14 Mazowieckie 16 Opolskie 18 Podkarpackie 20 Podlaskie 22 Pomorskie 24 Slaskie 26 Swietokrzyskie 28 Warminsko-mazurskie 30 Wielkopolskie 32 Zachodniopomorskie 99 Unknown This variable indicates the Voivodship of residence one year ago. Voivodship is the first-largest-scale geographic identifier available in the Poland samples. IPUMS Country of residence one year ago Poland 2002: Persons age 1+ that have been staying abroad temporarily for 1+ years [discrepancies: type I trace; type II none] 000 NIU (not in universe) 036 Australia 040 Austria 056 Belgium 112 Belarus 124 Canada 156 China 203 Czech Republic 208 Denmark 246 Finland 250 France 276 Germany 300 Greece 348 Hungary 352 Iceland 372 Ireland 376 Israel 380 Italy 392 Japan 434 Libya 528 Netherlands 578 Norway 643 Russian Federation 703 Slovakia 710 South Africa 724 Spain 752 Sweden 756 Switzerland 804 Ukraine 826 United Kingdom 840 United States of America 991 Africa, other countries 992 America, other countries 993 Asia, other countries 994 Europe, other countries 995 Oceania, other countries 999 Unknown This variable indicates the country of residence one year ago. IPUMS Time living in locality <span class="em">17. Since when have you lived/stayed in this locality? (urban, rural community - <span class="lang">gmina</span>)</span><div class="i1">If at length of your stay outside a current place of residence in years 1989-2002 was 12 months or more - please fill in answer 3. If the answer is: 1 or 2 - go to question 19; 3 - fill in the year (for years 2001 and 2002 - month and year) and go to question 18<br /><br />[] 1 Since birth day, go to question 19<br />[] 2 Since 1988 or longer, go to question 19<br />[] 3 Since 1989 or shorter, go to question 18</div><div class="i2">_ _ Month<br />_ _ _ _ Year</div> Poland 2002: All persons 1 Since birthday 2 Since 1988 or for a longer period of time 3 Since 1989 or for a shorter period of time 9 Unknown This variable indicates the amount of time living in the locality. The variable differentiates between living in the locality since the person’s birth, living in the locality since the year 1988 or for a longer period of time (1988 or an earlier year), and living in the locality since the year 1989 or for a shorter period of time (between 1989-2002). IPUMS Year of arrival to the locality <span class="em">17. Since when have you lived/stayed in this locality? (urban, rural community - <span class="lang">gmina</span>)</span><div class="i1">If at length of your stay outside a current place of residence in years 1989-2002 was 12 months or more - please fill in answer 3. If the answer is: 1 or 2 - go to question 19; 3 - fill in the year (for years 2001 and 2002 - month and year) and go to question 18<br /><br />[] 1 Since birth day, go to question 19<br />[] 2 Since 1988 or longer, go to question 19<br />[] 3 Since 1989 or shorter, go to question 18</div><div class="i2">_ _ Month<br />_ _ _ _ Year</div> Poland 2002: Persons who have lived in current locality since 1989 [discrepancies: none] 0000 NIU (not in universe) 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 9999 Unknown This variable indicates the year of arrival to the locality for those who have arrived to the locality between 1989 and 2002. IPUMS Previous place of residence <span class="em">18. Please give the name of the previous place of residence and complete the migration questionnaire M</span><div class="i1">If the answer is: 1, fill in points a, b, c; 2, give the name of the country of previous residence. For persons absent at least 12 months - do not fill in the migration questionnaire M<br /> <br />[] 1 Other locality in Poland</div><div class="i2">a) <span class="lang">Voivodship</span> ____<br />b) Community (<span class="lang">gmina</span>) ____<br />c) Type of locality</div><div class="i3">[] 1 Urban areas<br />[] 2 Rural areas</div><div class="i1">[] 2 Abroad</div><div class="i2">Name of country of previous residence: ____</div> Poland 2002: Persons who have lived in current locatlity since 1989 [discrepancies: none] NIU (not in universe) 1 Other locality in Poland 2 Abroad This variable indicates the previous place of residence for persons who arrived to the locality between 1989 and 2002. IPUMS Voivodship of previous place of residence <span class="em">18. Please give the name of the previous place of residence and complete the migration questionnaire M</span><div class="i1">If the answer is: 1, fill in points a, b, c; 2, give the name of the country of previous residence. For persons absent at least 12 months - do not fill in the migration questionnaire M<br /> <br />[] 1 Other locality in Poland</div><div class="i2">a) <span class="lang">Voivodship</span> ____<br />b) Community (<span class="lang">gmina</span>) ____<br />c) Type of locality</div><div class="i3">[] 1 Urban areas<br />[] 2 Rural areas</div><div class="i1">[] 2 Abroad</div><div class="i2">Name of country of previous residence: ____</div> Poland 2002: Persons who have lived in current locality since 1989 and previously lived elsewhere in Poland [discrepancies: none] 00 NIU (not in universe) 02 Dolnoslaskie 04 Kujawsko-pomorskie 06 Lubelskie 08 Lubuskie 10 Lódzkie 12 Malopolskie 14 Mazowieckie 16 Opolskie 18 Podkarpackie 20 Podlaskie 22 Pomorskie 24 Slaskie 26 Swietokrzyskie 28 Warminsko-mazurskie 30 Wielkopolskie 32 Zachodniopomorskie 99 Unknown This variable indicates the Voivodship of previous place of residence for persons who arrived to the locality between 1989 and 2002. Voivodship is the first-largest-scale geographic identifier available in the Poland samples. IPUMS Type of the locality of previous place of residence <span class="em">18. Please give the name of the previous place of residence and complete the migration questionnaire M</span><div class="i1">If the answer is: 1, fill in points a, b, c; 2, give the name of the country of previous residence. For persons absent at least 12 months - do not fill in the migration questionnaire M<br /> <br />[] 1 Other locality in Poland</div><div class="i2">a) <span class="lang">Voivodship</span> ____<br />b) Community (<span class="lang">gmina</span>) ____<br />c) Type of locality</div><div class="i3">[] 1 Urban areas<br />[] 2 Rural areas</div><div class="i1">[] 2 Abroad</div><div class="i2">Name of country of previous residence: ____</div> Poland 2002: Persons who have lived in current locality since 1989 and previously lived elsewhere in Poland [discrepancies: none] NIU (not in universe) 1 Urban 2 Rural 9 Unknown This variable indicates whether the locality of previous place of residence was urban or rural. IPUMS Country of previous residence <span class="em">18. Please give the name of the previous place of residence and complete the migration questionnaire M</span><div class="i1">If the answer is: 1, fill in points a, b, c; 2, give the name of the country of previous residence. For persons absent at least 12 months - do not fill in the migration questionnaire M<br /> <br />[] 1 Other locality in Poland</div><div class="i2">a) <span class="lang">Voivodship</span> ____<br />b) Community (<span class="lang">gmina</span>) ____<br />c) Type of locality</div><div class="i3">[] 1 Urban areas<br />[] 2 Rural areas</div><div class="i1">[] 2 Abroad</div><div class="i2">Name of country of previous residence: ____</div> Poland 2002: Persons who have lived in current locality since 1989 and previously lived abroad [discrepancies: none] 000 NIU (not in universe) 036 Australia 040 Austria 051 Armenia 056 Belgium 100 Bulgaria 112 Belarus 124 Canada 203 Czech Republic 208 Denmark 250 France 276 Germany 300 Greece 348 Hungary 380 Italy 392 Japan 398 Kazakhstan 434 Libya 440 Lithuania 528 Netherlands 578 Norway 643 Russia 703 Slovakia 704 Vietnam 710 Republic of South Africa 724 Spain 752 Sweden 756 Switzerland 760 Syria 792 Turkey 804 Ukraine 826 United Kingdom 840 United States 891 Yugoslavia 991 Africa, other countries 992 America, other countries 993 Asia, other countries 994 Europe, other countries 995 Oceania, other countries 999 Unknown This variable indicates the country of previous residence for persons who resided abroad between 1989 and 2002. IPUMS Seeking employment <span class="em">19. Did you perform any work providing earnings or income or did you help pay in a family business?</span><div class="i1">If the answer is: 1 or 2 - go to question 20; 3 - go to question 25; 4 - go to question 28<br /><br />[] 1 Yes, go to question 20<br />[] 2 You temporarily didn't work due to illness, vacation, lay-off, strike etc., but you did have a job (did not concern contributing family members) in reference week (from May 13th to May 19th), go to question 20<br />[] 3 No, go to question 25<br />[] 4 Lack of response (concerns persons staying abroad), go to question 28</div><span class="em">25. Are you looking for a job actively?</span><div class="i1"><span class="em">If the answer is: 1 - go to question 26; 2 - go to question 27; 3 - go to question 28.</span><br /><br />[] 1 Yes, go to question 26<br />[] 2 No, you have found a job and have been waiting to start it, go to question 27<br />[] 3 No, go to question 28</div> Poland 2002: Persons age 15+ who are unemployed or economically inactive and not in subsistence farming [discrepancies: none] NIU (not in universe) 1 Actively looking for a job 2 Not looking for a job (found a job and waiting to start it) 3 Not looking for a job 9 Unknown This variable indicates whether a person without work is seeking employment. IPUMS Ability to start employment <span class="em">19. Did you perform any work providing earnings or income or did you help pay in a family business?</span><div class="i1">If the answer is: 1 or 2 - go to question 20; 3 - go to question 25; 4 - go to question 28<br /><br />[] 1 Yes, go to question 20<br />[] 2 You temporarily didn't work due to illness, vacation, lay-off, strike etc., but you did have a job (did not concern contributing family members) in reference week (from May 13th to May 19th), go to question 20<br />[] 3 No, go to question 25<br />[] 4 Lack of response (concerns persons staying abroad), go to question 28</div><span class="em">25. Are you looking for a job actively?</span><div class="i1"><span class="em">If the answer is: 1 - go to question 26; 2 - go to question 27; 3 - go to question 28.</span><br /><br />[] 1 Yes, go to question 26<br />[] 2 No, you have found a job and have been waiting to start it, go to question 27<br />[] 3 No, go to question 28</div><span class="em">26. Would you be able to start working in the week from May 13th to May 19th or next providing that found a job?</span><div class="i1">[] 1 Yes<br />[] 2 No</div> Poland 2002: Persons age 15+ who are looking for a job [discrepancies: type I trace; type II none] NIU (not in universe) 1 Able to start working 2 Unable to start working 9 Unknown This variable indicates whether a person without work would be able to start employment should they find a job. IPUMS Duration of seeking employment <span class="em">19. Did you perform any work providing earnings or income or did you help pay in a family business?</span><div class="i1">If the answer is: 1 or 2 - go to question 20; 3 - go to question 25; 4 - go to question 28<br /><br />[] 1 Yes, go to question 20<br />[] 2 You temporarily didn't work due to illness, vacation, lay-off, strike etc., but you did have a job (did not concern contributing family members) in reference week (from May 13th to May 19th), go to question 20<br />[] 3 No, go to question 25<br />[] 4 Lack of response (concerns persons staying abroad), go to question 28</div><span class="em">25. Are you looking for a job actively?</span><div class="i1"><span class="em">If the answer is: 1 - go to question 26; 2 - go to question 27; 3 - go to question 28.</span><br /><br />[] 1 Yes, go to question 26<br />[] 2 No, you have found a job and have been waiting to start it, go to question 27<br />[] 3 No, go to question 28</div><span class="em">27. How long have you been actively looking for a job? </span><div class="i1">Please, give the number of months: _ _</div> Poland 2002: Persons age 15+ who are looking for a job or waiting to start a job [discrepancies: type I trace, type II none] 000 Less than 1 month 001 1 month 002 2 months 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 Unknown 999 NIU (not in universe) This variable indicates the length of time (in months) that a person without work has been seeking employment. IPUMS Occupation <span class="em">20. Were you employed during the reference week as (concerns the week from May 13th to 19th):</span><div class="i1">[] 1 Full-time paid-employee<br />[] 2 Part-time paid-employee<br />[] 3 Employer<br />[] 4 Own-account worker (without employees)<br />[] 5 Agent (in all kind of agencies)<br />[] 6 Members of agricultural production co-operative <br />[] 7 Contributing family worker<br />[] 8 Clergyman/woman</div><span class="em">21. What is your occupation?</span><div class="i1">Please specify name of the performed occupation or position or describe main performed activities: ____</div> Poland 2002: Persons age 15+ who are economically active [discrepancies: none] 00 Workers in the military sector 01 Members of parliament, managers, high level office workers 02 Specialists 03 Technicians and middle level workers 04 Office workers 05 Service workers and shop assisatants 06 Agricultural, animal husbandry and forestry workers, fishermen and hunters 07 Production workers and craftsmen 08 Operators of machines and devices 09 Physical workers (simple tasks) 98 Unknown 99 NIU (not in universe) This variable indicates occupation. IPUMS Economic activity <span class="em">20. Were you employed during the reference week as (concerns the week from May 13th to 19th):</span><div class="i1">[] 1 Full-time paid-employee<br />[] 2 Part-time paid-employee<br />[] 3 Employer<br />[] 4 Own-account worker (without employees)<br />[] 5 Agent (in all kind of agencies)<br />[] 6 Members of agricultural production co-operative <br />[] 7 Contributing family worker<br />[] 8 Clergyman/woman</div><span class="em">22. What is the main kind of economic activity of the company (institution) in which you have main job?</span><div class="i1">You may also give the name of a company/institution: ____</div> Poland 2002: Persons age 15+ [discrepancies: none] 00 NIU (not in universe) 01 Working in households without the user of a farm (agricultural plot) and in collective households 02 Working exclusively on one's own farm (plot of land), subsistence farming 03 Working exclusively on one's own plot of land, producing mainly for the market 04 Working exclusively on one's own farm, producing mainly for the market 05 Working mainly on one's own farm (plot of land) and additionaly outside the farm or plot, subsistence farming 06 Working mainly on one's own plot of land and additionaly ouside the plot, producing mainly form the market 07 Working mainly on one's farm and additionaly outsidef the farm, producing mainly for the market 08 Working exclusively outside one's own farm (plot of land) 09 Working mainly on one's own plot of land and additionally outside it, only subsistence farming 10 Working mainly on one's own farm and additionally outside it, only subsistence farming 11 Working mainly on one's own plot of land and additionally outside it, mainly subsistence farming 12 Working mainly outside one's own plot of land and additionally on it, subsistence farming 13 Working mainly outside one's own farm and additionally on it, subsistence farming 14 Working mainly outside one's own plot of land and additionally on it, subsistence farming 17 Working mainly outside one's own plot of land and additionally on it, no agricultural production 18 Working mainly outside one's own farm and additionally on it, no agricultural production 19 Working mainly outside one's own farm and additionally on it, subsistence farming 20 Working mainly outside one's own agricultural plot and additionally on it, producing mainly for the market 21 Working mainly outside one's own farm and additionally on it, producing mainly for the market 22 Working, no data on workplace 23 Unemployed, awaiting for job commencement 24 Unemployed, seeking job 25 Economically inactive, seeking job but not ready to take it 26 Economically inactive, not seeking job 27 Economically inactive, seeking job but readiness to take job unknown 28 Economically inactive, working exclusively on one's own plot of land, subistence farming 29 Economically inactive, working mainly on one's own farm, subsistence farming 30 Economically inactive, working exclusively on one's own plot of land, subistence farming 31 Economically inactive, working exclusively on one's own plot of land, no agricultural production 32 Economically inactive, working exclusively on one's own farm, no agricultural production 99 Unknown This variable indicates the economic activity of the population. IPUMS Industry (main employer) <span class="em">20. Were you employed during the reference week as (concerns the week from May 13th to 19th):</span><div class="i1">[] 1 Full-time paid-employee<br />[] 2 Part-time paid-employee<br />[] 3 Employer<br />[] 4 Own-account worker (without employees)<br />[] 5 Agent (in all kind of agencies)<br />[] 6 Members of agricultural production co-operative <br />[] 7 Contributing family worker<br />[] 8 Clergyman/woman</div><span class="em">22. What is the main kind of economic activity of the company (institution) in which you have main job?</span><div class="i1">You may also give the name of a company/institution: ____</div> Poland 2002: Persons age 15+ who are economically active [discrepancies: none] 00 NIU (not in universe) 01 Agriculture 02 Hunting or forestry 03 Fishing 04 Mining and quarrying of resources generating energy 05 Mining and quarrying of resources other than generating energy 06 Food manufacturing, beverage industries, tobacco manufactures 07 Manufacture of textiles 08 Manufacture of leather and products of leather, leather substitutes and fur, except footwear and wearing apparel 09 Manufacture of wood and wood products 10 Manufacture of paper and paper products, printing and publishing 11 Manufacture of chemicals and chemical, petroleum, coal, rubber and plastic products 12 Manufacture of non-metallic mineral products 13 Manufacture of rubber and plastic products 14 Manufacture of other non-metallic products 15 Basic metal industries 16 Manufacture of machinery and equipment 17 Manufacture of electrical appliances and housewares 18 Manufacture of transport equipment 19 Manufacture not elsewhere classified 20 Electricity, gas, and water 21 Construction 22 Wholesale and retail trade, servicing cars and home appliances 23 Restaurants and hotels 24 Transport, storage, and communication 25 Financial services 26 Real estate and business services 27 Public administration and defense, compulsory heath and social insurance 28 Education services 29 Medical, dental, other health and veterinary services 30 Other social and related community services 31 Personal and household services, organizations and extraterritorial institutions 99 Unknown This variable indicates the type of economic activity of the population's main employer. IPUMS Industry (additional employer) <span class="em">23. Do you perform any additional job?</span><div class="i1"><span class="em">If the answer is: 1 - go to question 24; 2 - go to question 28</span><br /><br />[] 1 Yes, go to question 24<br />[] 2 No, go to question 28</div><span class="em">24. What is the main kind of economic activity of the company (institution) in which you have additional job?</span><div class="i1">You may also give the name of the company/institution: ________<br />Go to question 28.</div> Poland 2002: Persons age 15+ who are economically active and worked on multiple jobs [discrepancies: type I none; typpe II 31.8%] 00 NIU (not in universe) 01 Agriculture 02 Hunting, Forestry 03 Fishing 04 Mining and quarrying of resources generating energy 05 Mining and quarrying of resources other than generating energy 06 Food manufacturing, beverage industries, tobacco manufactures 07 Manufacture of textiles 08 Manufacture of leather and products of leather, leather substitutes and fur, except footwear and wearing apparel 09 Manufacture of wood and wood products 10 Manufacture of paper and paper products, printing and publishing 12 Manufacture of non-metallic mineral products 13 Manufacture of rubber and plastic products 14 Manufacture of other non-metallic products 15 Basic metal industries 16 Manufacture of machinery and equipment 17 Manufacture of electrical appliances and housewares 18 Manufacture of transport equipment 19 Manufacture not elsewhere classified 20 Electricity, gas, and water 21 Construction 22 Wholesale and retail trade, servicing cars and home appliances 23 Restaurants and hotels 24 Transport, storage, and communication 25 Financial services 26 Real estate and business services 27 Public administration and defense, compulsory heath and social insurance 28 Education services 29 Medical, dental, other health and veterinary services 30 Other social and related community services 98 No secondary activity 99 Unknown This variable indicates the type of economic activity of the population's additional employer. IPUMS Additional source of maintenance <span class="em">30. What is your main source of maintenance?</span><div class="i1">(It concerns the first position in your incomes)<br /><br />Incomes from paid-employment</div><div class="i2">[] 1 In public non-agriculture sector (state and communal establishment)<br />[] 2 In private non-agriculture sector (including producer's co-operative)<br />[] 3 In public agriculture sector (state and communal establishment)<br />[] 4 In private agriculture sector (including producers' co-operative)</div><div class="i1">Incomes from self-employment (own-account work)</div><div class="i2">[] 5 Outside agriculture<br />[] 6 In own private farm (or plot of land)<br />[] 7 In agriculture outside own private farm (or plot of land)</div><div class="i1">Non-earned source</div><div class="i2">[] 8 Retirement pay (employee, derivative and combatant)<br />[] 9 Retirement pay of farmers <br />[] 10 Pension resulting from an inability to work <br />[] 11 Social pension<br />[] 12 Family pension<br />[] 13 Unemployment benefit<br />[] 14 Welfare allowance<br />[] 15 Others (specify): ____</div><div class="i1">Other incomes</div><div class="i2">[] 16 Incomes from owning<br />[] 17 Incomes from leasing</div><div class="i1">Maintained by other persons</div><div class="i2">[] 18 From this household<br />[] 19 From other household</div><span class="em">31. What is your additional (a) source of maintenance (the second position in your incomes)?</span> ____</p> <div class="i1">Put the number from any incomes not maintained by other persons from question 30. <br />Or, put the number 99 if ?no concern?</div> Poland 2002: Persons that have more than one source of maintenance [universe unverifiable] 01 Paid employment in public non-agriculture sector (state and communal establishment) 02 Paid employment in private non-agriculture sector (including producers' co-operative) 03 Paid employment in public agriculture sector (state and communal establishment) 04 Paid employment in private agriculture sector (state and communal establishment) 05 Self-employment outside agriculture 06 Self-employment in own private farm (or plot of land) 07 Self-employment agriculture outside own private farm (or plot of land) 08 Retirement pay (employee, derivative and combatant) 09 Retirement pay of farmers 10 Pension resulting from an inability to work 11 Social pension 12 Family pension 13 Unemployment benefit 14 Welfare benefit 15 Other unearned source of income 16 Incomes from owning 17 Incomes from leasing 99 NIU (not in universe) This variable indicates the additional source of maintenance. The additional source of income is the second most important source of income, so the source generating the second highest income. IPUMS First type of unearned source of income <span class="em">32. What kind of benefits (b) from non-earned source of income do you receive?</span><div class="i1">Please use no more than three types of non-earned source of maintenance showed in question 30 (possible answers from ?non- earned source? category only)<br />____<br />____<br />____</div> Poland 2002: Persons with non-earned sources of maintenance [discrepancies: type I 3%, type II 0.5%] 00 NIU (not in universe) 08 Retirement pay (employee, derivative and combatant) 09 Retirement pay of farmers 10 Pension resulting from an inability to work 11 Social pension 12 Family pension 13 Unemployment benefit 14 Welfare benefit 15 Other unearned source of income 99 Unknown The variable indicates the first type of unearned source of income. If a person is granted several benefits, the main three should be indicated. IPUMS Second type of unearned source of income <span class="em">32. What kind of benefits (b) from non-earned source of income do you receive?</span><div class="i1">Please use no more than three types of non-earned source of maintenance showed in question 30 (possible answers from ?non- earned source? category only)<br />____<br />____<br />____</div> Poland 2002: Persons with two or more non-earned sources of maintenance [discrepancies: unverifiable] 00 NIU (not in universe) 08 Retirement pay (employee, derivative and combatant) 09 Retirement pay of farmers 10 Pension resulting from an inability to work 11 Social pension 12 Family pension 13 Unemployment benefit 14 Welfare benefit 15 Other unearned source of income The variable indicates the second type of unearned source of income. If a person is granted several benefits, the main three should be indicated. IPUMS Main source of maintenance <span class="em">30. What is your main source of maintenance?</span><div class="i1">(It concerns the first position in your incomes)<br /><br />Incomes from paid-employment</div><div class="i2">[] 1 In public non-agriculture sector (state and communal establishment)<br />[] 2 In private non-agriculture sector (including producer's co-operative)<br />[] 3 In public agriculture sector (state and communal establishment)<br />[] 4 In private agriculture sector (including producers' co-operative)</div><div class="i1">Incomes from self-employment (own-account work)</div><div class="i2">[] 5 Outside agriculture<br />[] 6 In own private farm (or plot of land)<br />[] 7 In agriculture outside own private farm (or plot of land)</div><div class="i1">Non-earned source</div><div class="i2">[] 8 Retirement pay (employee, derivative and combatant)<br />[] 9 Retirement pay of farmers <br />[] 10 Pension resulting from an inability to work <br />[] 11 Social pension<br />[] 12 Family pension<br />[] 13 Unemployment benefit<br />[] 14 Welfare allowance<br />[] 15 Others (specify): ____</div><div class="i1">Other incomes</div><div class="i2">[] 16 Incomes from owning<br />[] 17 Incomes from leasing</div><div class="i1">Maintained by other persons</div><div class="i2">[] 18 From this household<br />[] 19 From other household</div> Poland 2002: All persons 01 Paid employment in non-agricultural public sector 02 Paid employment in non-agricultural private sector 03 Paid employment in agricultural public sector 04 Paid employment in agricultural private sector 05 Self-employment in non-agricultural sector 06 Self-employment in own private farm (or plot of land) 07 Self-empoyment in agriculture outside own private farm (or plot of land) 08 Retirement pay (employee, derivative or combatant) 09 Retirement pay of farmers 10 Pension resulting from inability to work 11 Social pension 12 Family pension 13 Unemployment benefit 14 Welfare allowance 16 Allowance for helplessness 17 Alimony 18 Grant 19 Early pension 20 Dwelling in a rest-home 21 Staying in a convent 22 Other non-earning sources 26 Property income 27 Rental income 99 Unknown This variable indicates the main source of maintenance for the household. The main source of maintenance corresponds to the main income source for the person in the household with the highest income. IPUMS Head or representative of a household <span class="em">7. What is your relationship to the head of private household?</span><div class="i1">[] 1 Head of household<br />[] 2 Spouse<br />[] 3 Cohabitant (common-law partner)<br />[] 4 Son/ daughter <br />[] 5 Father/ mother<br />[] 6 Father-in-law/ mother-in-law<br />[] 7 Son-in-law/ daughter-in-law<br />[] 8 Brother/ sister<br />[] 9 Grandfather / grandmother <br />[] 10 Grandson/ granddaughter<br />[] 11 Other relative (specify: e.g. sister-in-law, uncle, niece, etc.) ____<br />[] 12 Non-relative person (if he/she is a common-law partner of a member of the household please fill in:</div><div class="i2">Common-law partner of person No ____<br /><br />In order to separate the families from household fill in the number of parents to all persons, being children of the member of this household - fill in: Child of person No ()</div><div class="i3">Child of person No ____ and No ____<br />No of private household ____</div> Poland 2002: All persons Other persons in the household 1 Head of a household 2 Representative of a household This variable indicates whether a person is the head or representative of a household. IPUMS Relationship to the head of household <span class="em">7. What is your relationship to the head of private household?</span><div class="i1">[] 1 Head of household<br />[] 2 Spouse<br />[] 3 Cohabitant (common-law partner)<br />[] 4 Son/ daughter <br />[] 5 Father/ mother<br />[] 6 Father-in-law/ mother-in-law<br />[] 7 Son-in-law/ daughter-in-law<br />[] 8 Brother/ sister<br />[] 9 Grandfather / grandmother <br />[] 10 Grandson/ granddaughter<br />[] 11 Other relative (specify: e.g. sister-in-law, uncle, niece, etc.) ____<br />[] 12 Non-relative person (if he/she is a common-law partner of a member of the household please fill in:</div><div class="i2">Common-law partner of person No ____<br /><br />In order to separate the families from household fill in the number of parents to all persons, being children of the member of this household - fill in: Child of person No ()</div><div class="i3">Child of person No ____ and No ____<br />No of private household ____</div> Poland 2002: All persons 01 Head of a household 02 Husband or wife 03 Cohabitant (common-law partner) 04 Son or daughter 05 Father or mother 06 Father-in-law or mother-in-law 07 Son-in-law or daughter-in-law 08 Brother or sister 09 Grandfather or grandmother 10 Grandson or granddaughter 11 Other relative 12 Non- related persons 13 Persons in households not being families This variable indicates the relationship to the head of the household. IPUMS Person number of common-law partner Poland 2002: Persons in common-law partnerships [discrepancies: type I trace; type II 1%] 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 11 11 12 12 13 13 16 16 17 17 18 18 23 23 24 24 90 Homosexual 99 Unknown This variable indicates the person number of a common- law partner. IPUMS Person number of the first parent Poland 2002: All persons 00 No biological parent in the household 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 29 29 31 31 32 32 35 35 41 41 51 51 52 52 55 55 60 60 61 61 62 62 63 63 64 64 65 65 66 66 68 68 71 71 73 73 81 81 82 82 86 86 91 91 93 93 94 94 95 95 96 96 97 97 This variable indicates the person number of the first biological parent in the household. IPUMS Person number of the second parent Poland 2002: All persons 00 No biological parent or only one biological parent in the household 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 26 26 30 30 32 32 34 34 36 36 52 52 53 53 58 58 61 61 62 62 63 63 64 64 68 68 69 69 82 82 86 86 89 89 92 92 93 93 94 94 This variable indicates the person number of the second biological parent in the household. IPUMS Position in the family in a household or collective housing <span class="em">7. What is your relationship to the head of private household?</span><div class="i1">[] 1 Head of household<br />[] 2 Spouse<br />[] 3 Cohabitant (common-law partner)<br />[] 4 Son/ daughter <br />[] 5 Father/ mother<br />[] 6 Father-in-law/ mother-in-law<br />[] 7 Son-in-law/ daughter-in-law<br />[] 8 Brother/ sister<br />[] 9 Grandfather / grandmother <br />[] 10 Grandson/ granddaughter<br />[] 11 Other relative (specify: e.g. sister-in-law, uncle, niece, etc.) ____<br />[] 12 Non-relative person (if he/she is a common-law partner of a member of the household please fill in:</div><div class="i2">Common-law partner of person No ____<br /><br />In order to separate the families from household fill in the number of parents to all persons, being children of the member of this household - fill in: Child of person No ()</div><div class="i3">Child of person No ____ and No ____<br />No of private household ____</div> Poland 2002: Persons in multi-person households with one or more families [discrepancies: type I none; type II trace] 00 NIU (not in universe) 01 Husband 02 Wife 03 Male partner 04 Female partner 05 Father with children 06 Mother with children 07 Child 08 Person directly related to any family member 09 Person not directly related to any family member 10 Non-relative 99 Unknown This variable indicates the person's position within the family. IPUMS Position in a household according to family composition <span class="em">7. What is your relationship to the head of private household?</span><div class="i1">[] 1 Head of household<br />[] 2 Spouse<br />[] 3 Cohabitant (common-law partner)<br />[] 4 Son/ daughter <br />[] 5 Father/ mother<br />[] 6 Father-in-law/ mother-in-law<br />[] 7 Son-in-law/ daughter-in-law<br />[] 8 Brother/ sister<br />[] 9 Grandfather / grandmother <br />[] 10 Grandson/ granddaughter<br />[] 11 Other relative (specify: e.g. sister-in-law, uncle, niece, etc.) ____<br />[] 12 Non-relative person (if he/she is a common-law partner of a member of the household please fill in:</div><div class="i2">Common-law partner of person No ____<br /><br />In order to separate the families from household fill in the number of parents to all persons, being children of the member of this household - fill in: Child of person No ()</div><div class="i3">Child of person No ____ and No ____<br />No of private household ____</div> Poland 2002: Persons in multi-person households with one or more families excluding those not in nuclear families [discrepancies: type I none; type II trace] 01 Married couple without children; husband 02 Married couple without children; wife 03 Married couple with children; husband 04 Married couple with children; wife 05 Married couple with children; child 06 Common-law partner without children; male partner 07 Common-law partner without children; female partner 08 Common-law partner with children; male partner 09 Common-law partner with children; female partner 10 Common-law partner with children; child 11 Single mother with children; mother 12 Single mother with children; child 13 Single father with children; father 14 Single father with children; child 99 NIU (not in universe) This variable indicates a person's position within a household, according to the composition of the family. IPUMS Parents of a child in a reconstructed household <span class="em">7. What is your relationship to the head of private household?</span><div class="i1">[] 1 Head of household<br />[] 2 Spouse<br />[] 3 Cohabitant (common-law partner)<br />[] 4 Son/ daughter <br />[] 5 Father/ mother<br />[] 6 Father-in-law/ mother-in-law<br />[] 7 Son-in-law/ daughter-in-law<br />[] 8 Brother/ sister<br />[] 9 Grandfather / grandmother <br />[] 10 Grandson/ granddaughter<br />[] 11 Other relative (specify: e.g. sister-in-law, uncle, niece, etc.) ____<br />[] 12 Non-relative person (if he/she is a common-law partner of a member of the household please fill in:</div><div class="i2">Common-law partner of person No ____<br /><br />In order to separate the families from household fill in the number of parents to all persons, being children of the member of this household - fill in: Child of person No ()</div><div class="i3">Child of person No ____ and No ____<br />No of private household ____</div> Poland 2002: Children in male-headed households, excluding families of single parents [discrepancies: type I none; type II trace] NIU (not in universe) 1 Husband and wife 2 Husband 3 Wife 4 Male and female common-law partners 5 Male partner 6 Female partner 7 None of the parents 9 Unknown This variable indicates who the owner of a child within a partnership is. IPUMS Person title according to family status Poland 2002: All persons 01 Child of married parents without another child 02 Child of married parents with one another child 03 Child of married parents with 2 or more other children 04 Child of common-law partners without another child 05 Child of common-law partners with one another child 06 Child of common-law partners with 2 or more other children 07 Child of one parent without another child 08 Child of one parent with one another child 09 Child of one parent with 2 or more other children 10 A spouse without a child 11 A spouse with one child 12 A spouse with two children 13 A spouse with 3 or more children 14 A common-law partner without a child 15 A common-law partner with one child 16 A common-law partner with two children 17 A common-law partner with 3 or more children 18 A single parent with one child 19 A single parent with two children 20 A single parent with 3 or more children 21 A single person 22 Non-related person in a household being family 23 Non-related person in a household not being family 24 Person in a collective household 25 Homeless person This variable indicates the title of a person according to the family status. IPUMS Position of women according to family status in a household Poland 2002: Women in multi-person households with one or more families, excluding those identified as children [discrepancies: type I none; type II trace] 00 NIU (not in universe) 01 Women in full families without children 02 Women in full families with whose youngest child is less than a year old 03 Women in full families with whose youngest child is one year old 04 Women in full families with whose youngest child is two years old 05 Women in full families with whose youngest child is three years old 06 Women in full families with whose youngest child is four years old 07 Women in full families with whose youngest child is five years old 08 Women in full families with whose youngest child is six years old 09 Women in full families with whose youngest child is between 7-12 years old 10 Women in full families with whose youngest child is between 13-18 years old 11 Women in full families with whose youngest child is between 19-24 years old 12 Women in full families with whose youngest child is 25+ years old 15 Women in single-parent families with whose youngest child is less than a year old 16 Women in single-parent families with whose youngest child is one year old 17 Women in single-parent families with whose youngest child is two years old 18 Women in single-parent families with whose youngest child is three years old 19 Women in single-parent families with whose youngest child is four years old 20 Women in single-parent families with whose youngest child is five years old 21 Women in single-parent families with whose youngest child is six years old 22 Women in single-parent families with whose youngest child is between 7-12 years old 23 Women in single-parent families with whose youngest child is between 13-18 years old 24 Women in single-parent families with whose youngest child is between 19-24 years old 25 Women in single-parent families with whose youngest child is 25+ years old 99 Unknown This variable indicates a woman’s position within a household according to the family status. IPUMS Order number of a child in a family <span class="em">12. How many live born children have you born?</span> ____</p> <div class="i1">If the answer is 0, go to question 14 <br /><br />Live born child is an infant, that after separation from its mother breathes or shows and evidence signs of life, e.g. beating of the heart, definite movement of voluntary muscles, crying.</div><span class="em">13. Please give the information of all live born children</span><div class="i1">(Repeat the question for each child)<br /><br />1. Number of children in order of bearing</div><div class="i2">[] 1<br />[] 2<br />[] 3<br />[] 4<br />[] 5<br />[] 6<br />[] 7<br />[] 8<br />[] 9<br />[] 10</div><div class="i1">2. Given name: ____<br /><br />3. Sex</div><div class="i2">[] 1 Male<br />[] 2 Female</div><div class="i1">4. Date of birth</div><div class="i2">_ _ Month<br />_ _ _ _ Year</div> Poland 2002: Children in multi-person households with one or more families [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 or more This variable indicates order of bearing of a child within a family. IPUMS Position of a person in a household with grandparents, grandchildren, or siblings Poland 2002: Persons in households with co-residing grandparents and grandchildren or siblings [universe unverifiable] NIU (not in universe) 1 Grandfather 2 Grandmother 3 Grandchild 4 Brother or sister This variable indicates the position of a person in a household with grandparents, grandchildren, or siblings. IPUMS Farm users <span class="em">19. Did you perform any work providing earnings or income or did you help pay in a family business?</span><div class="i1">If the answer is: 1 or 2 - go to question 20; 3 - go to question 25; 4 - go to question 28<br /><br />[] 1 Yes, go to question 20<br />[] 2 You temporarily didn't work due to illness, vacation, lay-off, strike etc., but you did have a job (did not concern contributing family members) in reference week (from May 13th to May 19th), go to question 20<br />[] 3 No, go to question 25<br />[] 4 Lack of response (concerns persons staying abroad), go to question 28</div><span class="em">28. Are you a holder of an agricultural farm (plot) or are you a member of a household with an agricultural farm (plot) holder? </span><div class="i1">If the answer is: 1 - give the size of arable land and go to question 29; 2 - go to question 29; 3 - go to question 30.<br /><br />[] 1 Yes; you are a holder of the agricultural farm/plot, go to question 29</div><div class="i2">Size of farm or plot: ____</div><div class="i1">[] 2 Yes; you are a member of a household with a farm holder, go to question 29<br />[] 3 No, go to question 30</div> Poland 2002: Persons age 15+ in private dwellings [discrepancies: none] NIU (not in universe) 1 Farm user 2 Member of household with a farm user 3 Member of household without a farm user This variable indicates whether a person is a farm user, or is in a member of a household with a farm user. A farm user is a private person or a group of people who use agricultural land regardless if they are the owners of said land. IPUMS Number of months worked in own agricultural farm during the lat 12 months <span class="em">19. Did you perform any work providing earnings or income or did you help pay in a family business?</span><div class="i1">If the answer is: 1 or 2 - go to question 20; 3 - go to question 25; 4 - go to question 28<br /><br />[] 1 Yes, go to question 20<br />[] 2 You temporarily didn't work due to illness, vacation, lay-off, strike etc., but you did have a job (did not concern contributing family members) in reference week (from May 13th to May 19th), go to question 20<br />[] 3 No, go to question 25<br />[] 4 Lack of response (concerns persons staying abroad), go to question 28</div><span class="em">28. Are you a holder of an agricultural farm (plot) or are you a member of a household with an agricultural farm (plot) holder? </span><div class="i1">If the answer is: 1 - give the size of arable land and go to question 29; 2 - go to question 29; 3 - go to question 30.<br /><br />[] 1 Yes; you are a holder of the agricultural farm/plot, go to question 29</div><div class="i2">Size of farm or plot: ____</div><div class="i1">[] 2 Yes; you are a member of a household with a farm holder, go to question 29<br />[] 3 No, go to question 30</div><span class="em">29. Please give the number of months worked in your agricultural farm (plot) within the last 12 months?</span> </p> <div class="i1">Months _ _</div> Poland 2002: Persons age 15+ in a household with a farm user [discrepancies: none] 00 Less than 1 month 01 1 month 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 99 NIU (not in universe) This variable indicates the number of months worked in one’s own agricultural farm during the last 12 months. IPUMS Class of worker <span class="em">19. Did you perform any work providing earnings or income or did you help pay in a family business?</span><div class="i1">If the answer is: 1 or 2 - go to question 20; 3 - go to question 25; 4 - go to question 28<br /><br />[] 1 Yes, go to question 20<br />[] 2 You temporarily didn't work due to illness, vacation, lay-off, strike etc., but you did have a job (did not concern contributing family members) in reference week (from May 13th to May 19th), go to question 20<br />[] 3 No, go to question 25<br />[] 4 Lack of response (concerns persons staying abroad), go to question 28</div><span class="em">20. Were you employed during the reference week as (concerns the week from May 13th to 19th):</span><div class="i1">[] 1 Full-time paid-employee<br />[] 2 Part-time paid-employee<br />[] 3 Employer<br />[] 4 Own-account worker (without employees)<br />[] 5 Agent (in all kind of agencies)<br />[] 6 Members of agricultural production co-operative <br />[] 7 Contributing family worker<br />[] 8 Clergyman/woman</div> Poland 2002: Persons age 15+ who are economically active [discrepancies: none] NIU (not in universe) 1 Full-time paid employee 2 Part-time paid employee 3 Employer 4 Own-account worker (without employees) 5 Agent 6 Member of agricultural productive co-operative 7 Contributing family worker 8 Clergyman 9 Unknown This variable indicates the employment status. IPUMS Employment according to the number of workplaces <span class="em">23. Do you perform any additional job?</span><div class="i1"><span class="em">If the answer is: 1 - go to question 24; 2 - go to question 28</span><br /><br />[] 1 Yes, go to question 24<br />[] 2 No, go to question 28</div> Poland 2002: Persons age 15+ who are economically active [discrepancies: none] NIU (not in universe) 1 Working for one employer (one workplace) 2 Working for more than one employer (multiple workplaces) This variable indicates the amount of employment according to the number of workplaces, and whether a person is working for more than one employer. IPUMS Main source of maintenance of a person <span class="em">30. What is your main source of maintenance?</span><div class="i1">(It concerns the first position in your incomes)<br /><br />Incomes from paid-employment</div><div class="i2">[] 1 In public non-agriculture sector (state and communal establishment)<br />[] 2 In private non-agriculture sector (including producer's co-operative)<br />[] 3 In public agriculture sector (state and communal establishment)<br />[] 4 In private agriculture sector (including producers' co-operative)</div><div class="i1">Incomes from self-employment (own-account work)</div><div class="i2">[] 5 Outside agriculture<br />[] 6 In own private farm (or plot of land)<br />[] 7 In agriculture outside own private farm (or plot of land)</div><div class="i1">Non-earned source</div><div class="i2">[] 8 Retirement pay (employee, derivative and combatant)<br />[] 9 Retirement pay of farmers <br />[] 10 Pension resulting from an inability to work <br />[] 11 Social pension<br />[] 12 Family pension<br />[] 13 Unemployment benefit<br />[] 14 Welfare allowance<br />[] 15 Others (specify): ____</div><div class="i1">Other incomes</div><div class="i2">[] 16 Incomes from owning<br />[] 17 Incomes from leasing</div><div class="i1">Maintained by other persons</div><div class="i2">[] 18 From this household<br />[] 19 From other household</div> Poland 2002: All persons 01 Paid employment in non-agricultural public sector 02 Paid employment in non-agricultural private sector 03 Paid employment in agricultural public sector 04 Paid employment in agricultural private sector 05 Self-employment in non-agricultural sector 06 Self-employment in own private farm (or plot of land) 07 Self-empoyment in agriculture outside own private farm (or plot of land) 08 Retirement pay (employee, derivative or combatant) 09 Retirement pay of farmers 10 Pension resulting from inability to work 11 Social pension 12 Family pension 13 Unemployment benefit 14 Welfare allowance 15 Other non-earning source 16 Property income 17 Rental income 18 Provided for by household members 19 Provided for by non-household members 99 Unknown This variable indicates the main source of maintenance of a person. The main source of maintenance is the source generating the highest income of a person. IPUMS Family number within the household Poland 2002: Persons in multi-person households with one or more families excluding those not in nuclear families [discrepancies: none] NIU (not in universe) 1 1 2 2 3 3 4 4 5 5 6 6 This variable indicates the number of a family within the household. IPUMS Type of nuclear family Poland 2002: Persons in multi-person households with one or more families excluding those not in nuclear families [discrepancies: none] NIU (not in universe) 1 Married couple without children 2 Married couple with children 3 Common-law partners without children 4 Common-law partners with children 5 Single mothers with children 6 Single fathers with children This variable indicates the type of biological family; the type of partnership, and whether or not the family has children. IPUMS