1980 Population census DDI_HUN_1980_PHC_v01_M_v7.6_A_IPUMS IPUMS

Integrated Public Use Microdata Series (IPUMS) International

 IPUMS April 1, 2025 IPUMS, 50 Willey Hall, 225 - 19th Avenue South, Minneapolis, MN 55455 Organization for Economic Co-operation and Development, Development Co-operation Directorate JADE#:60525;MEHLB(2010)12 IPUMS Version 7.6 October 2025 : NEW FEATURES. --NO "new features" listed in Revision History NEW SAMPLES. --Six new census samples for Honduras (2013), Kenya (2019), Malawi (2018), Mongolia (2010, 2020), and Mozambique (2017) were added to the data series. All census samples extend pre-existing series for those countries. --91 quarterly labor force surveys from the Philippines (1997 - 2019) were added to IPUMS. SUPPLEMENTAL DATA. --No "supplemental data" listed in revision history NEW VARIABLES. --New spatially harmonized birthplace and previous-residence variables are available for samples in this data release. More information is available here (https://international.ipums.org/international/geo_mig.shtml). --Users should note that many older migration and birthplace variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. For birthplace variables refer to this table (https://international.ipums.org/international/resources/misc_docs/migCrosswalk_names.pdf). EDITED SAMPLES. --For the Zambia 2000 sample, an error in the household breaks was corrected, resulting in the creation of 1,988 new households (1% increase) that were previously combined with other households. The person records included in the sample did not change. Due to an inconsistency in the original file, no household-level information other than geographic location is available for these newly identified households, necessitating the addition of "unknown" values for this sample to the following variables: BEDROOMS, ELECTRIC, FLOOR, FUELCOOK, FUELHEAT, OWNERSHIP, PHONE, RADIO, REFRIG, ROOMS, SEWAGE, TRASH, WATSRC, TV, TOILET, GQ, ROOF, WATSUP, BIKE, MOTORCYCLE, KITCHEN, GQTYPE, AUTOS, and WALL. EDITED VARIABLES. --For the 1998 and 2008 Malawi samples, the family interrelationship pointer variables MOMLOC and POPLOC were modified to allow a "Spouse/partner" of the household head to be linked as a parent to an "Other relative", because the enumeration instructions specify that adopted and stepchildren were categorized as "Other relative". These samples are now consistent with the links made in the newly released 2018 Malawi sample, which had the same enumeration instructions for adopted and stepchildren. --In the samples for Côte d'Ivoire 1988 and 1998, Rwanda 1991 and 2002, Togo 1960 and 2010, and South Africa 2001, for the harmonized variable POLYGAM, persons in consensual unions were previously coded as "No, in monogamous union". Because there was no response option in these samples for polygamous consensual unions, it is more appropriate to treat these cases as not-in-universe, so they have been recoded to "NIU (not in universe)". --MARST has been edited for Honduras 1974 to reclassify the source variable responses "married, wife lives separately" and "consensual union, companion lives separately" as separations. The documentation suggests that "separately" actually indicates a relationship separation and not an absent spouse or companion. Other minor edits were implemented for MARST for Mozambique 1997 and 2007. --In the Mozambique 1997 sample, an error was corrected that recoded persons with a relationship of "Unknown" in the source data to "Other relative or non-relative" (6000) in the harmonized variable RELATE. These persons are now coded as "Not Stated/Unknown" (9999). --In the Malawi 1987, 1998, and 2008 samples, for variable WATSUP, a programming error was corrected such that any households who reported having piped water in either the wet or the dry season are classified as having access to piped water. This programming was also applied to the newly released 2018 sample. --The NATIVITY variable has been edited in the Chile 2017 sample to correct a programming error that mistakenly classified as foreign-born about 20 thousand person records that were actually native-born. --The MIGRATE5 variable has been edited in the Chile 2017 sample, given a programming error that classified most migrants as having changed their major geographic unit. The MIGRATE5 variable for the Chile 1982 and 1992 samples has been edited to use spatially harmonized geographic units to calculate migration status. --In the 1989, 1999, and 2009 Kenya samples, households who indicated that their lighting type or fuel was "Solar" were recoded from "No" to "Yes" in ELECTRIC, based on secondary sources documenting the spread of home solar energy systems in Kenya beginning in the mid-1980s. In the 1989 and 1999 Kenya samples, programming was removed that previously recoded households that reported using electricity as their main cooking fuel to "Yes" in the access to electricity variable ELECTRIC, making it more consistent across samples. Other minor edits were implemented for ELECTRIC in Botswana 2011, Ethiopia 1984 and 1994, Mongolia 1989, Mozambique 2007. --Some samples in DISCARE classified responses indicating "some" difficulty into "yes". These cases were revised to consistently include in "yes" only responses indicating "a lot of difficulty" or "cannot do at all". --Some codes were improperly labeled for municipalities in Honduras 1961 and 1974, which affect variables on place of residence, birthplace, and previous residence. 1980 Population census - IPUMS Subset PHC hu1980a (IPUMS Harmonized Subset) HUN_1980_PHC_v01_M_v7.6_A_IPUMS Hungarian Central Statistical Office IPUMS (c) Copyright 1980, Hungarian Central Statistical Office and Minnesota Population Center Hungarian Central Statistical Office Population and Housing Census [hh/popcen] IPUMS International DOI:10.18128/D020.V7.6 Version 7.6. The datasets contain selected variables from the original microdata plus harmonized variables from the IPUMS-International database. Demographic Variables -- PERSON Dwelling Characteristics Variables -- HOUSEHOLD Fertility and Mortality Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Utilities Variables -- HOUSEHOLD Ethnicity and Language Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Geography: Global Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Person Imputation Flags Variables -- PERSON Technical Person Variables -- PERSON Demographic Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Fertility and Mortality Variables -- PERSON Nativity and Birthplace Variables -- PERSON Ethnicity and Language Variables -- PERSON Education Variables -- PERSON Work Variables -- PERSON Work: Occupation Variables -- PERSON January 1, 1980 January 1-14, 1980 Hungary Type of locality Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: Yes - Households: yes - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: Architecturally connected units (living-, cooking-, hygienic- etc. rooms) built originally or transformed later for residential purposes and having\ direct access from outside (i.e. from a street). - Households: A group of persons living together in a common housing unit or in a part of it, sharing the costs of living partly or totally, and having their meals together on one or more days of the week. - Group quarters: Yes Resident population in private and collective living quarters Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Hungary 1980 MICRODATA SOURCE: Hungarian Central Statistical Office SAMPLE SIZE (person records): 536007. SAMPLE DESIGN: Systematic sample of every 20th dwelling after a random start; drawn by the national statistical office Face-to-face [f2f] Housing questionnaire; questionnaire for group quarters; questionnaire on holiday-home units; personal questionnaire; housing questionnaire and personal questionnaire for subsequent checking (PES) de jure, CENSUS DAY: January 1, 1980 Self-weighting (expansion factor = 20) 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. Hungarian Central Statistical Office Steven Ruggles, Lara Cleveland, Rodrigo Lovaton, Sula Sarkar, Matthew Sobek, Derek Burk, Dan Ehrlich, Quinn Heimann, Jane Lee, and Nate Merrill. Integrated Public Use Microdata Series, International: Version 7.6 [dataset]. Minneapolis, MN: IPUMS, 2025. https://doi.org/10.18128/D020.V7.6 Researchers should also acknowledge the statistical agency that originally produced the data: Hungary, Hungarian Central Statistical Office. 1980 Population census The licensing agreement for use of IPUMS International data requires that users supply IPUMS International with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation. Copies of such materials are also gratefully received at ipums@umn.edu. Printed matter should be sent to: IPUMS International Minnesota Population Center University of Minnesota 50 Willey Hall 225 19th Avenue South Minneapolis, MN 55455 An adapted version of the dataset, harmonized for international comparability, is available from IPUMS International (https://international.ipums.org/international/) under the following conditions: IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. User-provided description: DOI:10.18128/D020.V7.6 Extract for hu1980a, 2025 HUN1980_PHC-H-H.dat Household records 211,355 ascii Minnesota Population Center Version 7.5, IPUMS sample HUN1980_PHC-P-H.dat Person records 536007 ascii Minnesota Population Center Version 7.5, IPUMS sample Record type RECTYPE identifies the type of record for the case: household or person. NOTE: RECTYPE is an alphabetic (character string) variable with a value of 'H' for household records and 'P' for person records. RECTYPE will not appear as a variable in the default rectangular extracts produced by the data extract system. It is only available in hierarchical extracts, to distinguish between the two record types. H Household P Person Technical Household Variables -- HOUSEHOLD Country COUNTRY gives the country from which the sample was drawn. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization). 032 Argentina 051 Armenia 040 Austria 050 Bangladesh 112 Belarus 204 Benin 068 Bolivia 072 Botswana 076 Brazil 854 Burkina Faso 116 Cambodia 120 Cameroon 124 Canada 152 Chile 156 China 170 Colombia 188 Costa Rica 192 Cuba 208 Denmark 214 Dominican Republic 218 Ecuador 818 Egypt 222 El Salvador 231 Ethiopia 242 Fiji 246 Finland 250 France 276 Germany 288 Ghana 300 Greece 320 Guatemala 324 Guinea 332 Haiti 340 Honduras 348 Hungary 352 Iceland 356 India 360 Indonesia 364 Iran 368 Iraq 372 Ireland 376 Israel 380 Italy 384 Côte d'Ivoire 388 Jamaica 400 Jordan 404 Kenya 417 Kyrgyz Republic 418 Laos 426 Lesotho 430 Liberia 454 Malawi 458 Malaysia 466 Mali 480 Mauritius 484 Mexico 496 Mongolia 504 Morocco 508 Mozambique 104 Myanmar 524 Nepal 528 Netherlands 558 Nicaragua 566 Nigeria 578 Norway 586 Pakistan 275 Palestine 591 Panama 598 Papua New Guinea 600 Paraguay 604 Peru 608 Philippines 616 Poland 620 Portugal 630 Puerto Rico 642 Romania 643 Russia 646 Rwanda 662 Saint Lucia 686 Senegal 694 Sierra Leone 703 Slovak Republic 705 Slovenia 710 South Africa 728 South Sudan 724 Spain 729 Sudan 740 Suriname 752 Sweden 756 Switzerland 834 Tanzania 764 Thailand 768 Togo 780 Trinidad and Tobago 792 Turkey 800 Uganda 804 Ukraine 826 United Kingdom 840 United States 858 Uruguay 862 Venezuela 704 Vietnam 894 Zambia 716 Zimbabwe Technical Household Variables -- HOUSEHOLD Year YEAR gives the year in which the census or survey was taken. For samples that span years, the midpoint or first year of the interval is reported. 1703 1703 1729 1729 1787 1787 1801 1801 1819 1819 1845 1845 1848 1848 1850 1850 1851 1851 1852 1852 1860 1860 1861 1861 1865 1865 1868 1868 1870 1870 1871 1871 1875 1875 1880 1880 1881 1881 1885 1885 1890 1890 1891 1891 1900 1900 1901 1901 1910 1910 1911 1911 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1966 1966 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 Technical Household Variables -- HOUSEHOLD IPUMS sample identifier SAMPLE identifies the IPUMS sample from which the case is drawn. Each sample receives a unique 9-digit code. The code is structured as follows: The first 3 digits are the ISO/UN codes used in COUNTRY The next 4 digits are the year of the census/survey The final 2 digits identify the sample within the year. For the last two digits, censuses or large census-like surveys have a value "0" (e.g, 01) in the second-to-last digit, household surveys have a value of "2" (e.g., 21), and employment surveys have a value of "4" (e.g., 41). 032197001 Argentina 1970 032198001 Argentina 1980 032199101 Argentina 1991 032200101 Argentina 2001 032201001 Argentina 2010 051200101 Armenia 2001 051201101 Armenia 2011 040197101 Austria 1971 040198101 Austria 1981 040199101 Austria 1991 040200101 Austria 2001 040201101 Austria 2011 050199101 Bangladesh 1991 050200101 Bangladesh 2001 050201101 Bangladesh 2011 112199901 Belarus 1999 112200901 Belarus 2009 204197901 Benin 1979 204199201 Benin 1992 204200201 Benin 2002 204201301 Benin 2013 068197601 Bolivia 1976 068199201 Bolivia 1992 068200101 Bolivia 2001 068201201 Bolivia 2012 072198101 Botswana 1981 072199101 Botswana 1991 072200101 Botswana 2001 072201101 Botswana 2011 076196001 Brazil 1960 076197001 Brazil 1970 076198001 Brazil 1980 076199101 Brazil 1991 076200001 Brazil 2000 076201001 Brazil 2010 854198501 Burkina Faso 1985 854199601 Burkina Faso 1996 854200601 Burkina Faso 2006 116199801 Cambodia 1998 116200401 Cambodia 2004 116200801 Cambodia 2008 116201301 Cambodia 2013 116201901 Cambodia 2019 120197601 Cameroon 1976 120198701 Cameroon 1987 120200501 Cameroon 2005 124185201 Canada 1852 124187101 Canada 1871 124188101 Canada 1881 124189101 Canada 1891 124190101 Canada 1901 124191101 Canada 1911 124197101 Canada 1971 124198101 Canada 1981 124199101 Canada 1991 124200101 Canada 2001 124201101 Canada 2011 152196001 Chile 1960 152197001 Chile 1970 152198201 Chile 1982 152199201 Chile 1992 152200201 Chile 2002 152201701 Chile 2017 156198201 China 1982 156199001 China 1990 156200001 China 2000 170196401 Colombia 1964 170197301 Colombia 1973 170198501 Colombia 1985 170199301 Colombia 1993 170200501 Colombia 2005 188196301 Costa Rica 1963 188197301 Costa Rica 1973 188198401 Costa Rica 1984 188200001 Costa Rica 2000 188201101 Costa Rica 2011 192200201 Cuba 2002 192201201 Cuba 2012 208178701 Denmark 1787 208180101 Denmark 1801 208184501 Denmark 1845 208188001 Denmark 1880 208188501 Denmark 1885 214196001 Dominican Republic 1960 214197001 Dominican Republic 1970 214198101 Dominican Republic 1981 214200201 Dominican Republic 2002 214201001 Dominican Republic 2010 218196201 Ecuador 1962 218197401 Ecuador 1974 218198201 Ecuador 1982 218199001 Ecuador 1990 218200101 Ecuador 2001 218201001 Ecuador 2010 818184801 Egypt 1848 818186801 Egypt 1868 818198601 Egypt 1986 818199601 Egypt 1996 818200601 Egypt 2006 222199201 El Salvador 1992 222200701 El Salvador 2007 231198401 Ethiopia 1984 231199401 Ethiopia 1994 231200701 Ethiopia 2007 242196601 Fiji 1966 242197601 Fiji 1976 242198601 Fiji 1986 242199601 Fiji 1996 242200701 Fiji 2007 242201401 Fiji 2014 246201001 Finland 2010 250196201 France 1962 250196801 France 1968 250197501 France 1975 250198201 France 1982 250199001 France 1990 250199901 France 1999 250200601 France 2006 250201101 France 2011 276181901 Germany 1819 (Mecklenburg) 276197001 Germany 1970 (West) 276197101 Germany 1971 (East) 276198101 Germany 1981 (East) 276198701 Germany 1987 (West) 288198401 Ghana 1984 288200001 Ghana 2000 288201001 Ghana 2010 300197101 Greece 1971 300198101 Greece 1981 300199101 Greece 1991 300200101 Greece 2001 300201101 Greece 2011 320196401 Guatemala 1964 320197301 Guatemala 1973 320198101 Guatemala 1981 320199401 Guatemala 1994 320200201 Guatemala 2002 324198301 Guinea 1983 324199601 Guinea 1996 324201401 Guinea 2014 332197101 Haiti 1971 332198201 Haiti 1982 332200301 Haiti 2003 340196101 Honduras 1961 340197401 Honduras 1974 340198801 Honduras 1988 340200101 Honduras 2001 340201301 Honduras 2013 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 Côte d'Ivoire 1988 384199801 Côte d'Ivoire 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 404201901 Kenya 2019 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 454201801 Malawi 2018 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 496201001 Mongolia 2010 496202001 Mongolia 2020 504198201 Morocco 1982 504199401 Morocco 1994 504200401 Morocco 2004 504201401 Morocco 2014 508199701 Mozambique 1997 508200701 Mozambique 2007 508201701 Mozambique 2017 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 608199721 Philippines 1997 Q1 LFS 608199722 Philippines 1997 Q2 LFS 608199723 Philippines 1997 Q3 LFS 608199724 Philippines 1997 Q4 LFS 608199821 Philippines 1998 Q1 LFS 608199822 Philippines 1998 Q2 LFS 608199823 Philippines 1998 Q3 LFS 608199824 Philippines 1998 Q4 LFS 608199921 Philippines 1999 Q1 LFS 608199922 Philippines 1999 Q2 LFS 608199923 Philippines 1999 Q3 LFS 608199924 Philippines 1999 Q4 LFS 608200021 Philippines 2000 Q1 LFS 608200022 Philippines 2000 Q2 LFS 608200023 Philippines 2000 Q3 LFS 608200024 Philippines 2000 Q4 LFS 608200121 Philippines 2001 Q1 LFS 608200122 Philippines 2001 Q2 LFS 608200123 Philippines 2001 Q3 LFS 608200124 Philippines 2001 Q4 LFS 608200221 Philippines 2002 Q1 LFS 608200222 Philippines 2002 Q2 LFS 608200223 Philippines 2002 Q3 LFS 608200224 Philippines 2002 Q4 LFS 608200321 Philippines 2003 Q1 LFS 608200322 Philippines 2003 Q2 LFS 608200323 Philippines 2003 Q3 LFS 608200324 Philippines 2003 Q4 LFS 608200421 Philippines 2004 Q1 LFS 608200422 Philippines 2004 Q2 LFS 608200423 Philippines 2004 Q3 LFS 608200424 Philippines 2004 Q4 LFS 608200521 Philippines 2005 Q1 LFS 608200522 Philippines 2005 Q2 LFS 608200523 Philippines 2005 Q3 LFS 608200524 Philippines 2005 Q4 LFS 608200621 Philippines 2006 Q1 LFS 608200622 Philippines 2006 Q2 LFS 608200623 Philippines 2006 Q3 LFS 608200624 Philippines 2006 Q4 LFS 608200721 Philippines 2007 Q1 LFS 608200722 Philippines 2007 Q2 LFS 608200723 Philippines 2007 Q3 LFS 608200724 Philippines 2007 Q4 LFS 608200821 Philippines 2008 Q1 LFS 608200822 Philippines 2008 Q2 LFS 608200823 Philippines 2008 Q3 LFS 608200824 Philippines 2008 Q4 LFS 608200921 Philippines 2009 Q1 LFS 608200922 Philippines 2009 Q2 LFS 608200923 Philippines 2009 Q3 LFS 608200924 Philippines 2009 Q4 LFS 608201021 Philippines 2010 Q1 LFS 608201022 Philippines 2010 Q2 LFS 608201023 Philippines 2010 Q3 LFS 608201024 Philippines 2010 Q4 LFS 608201121 Philippines 2011 Q1 LFS 608201122 Philippines 2011 Q2 LFS 608201123 Philippines 2011 Q3 LFS 608201124 Philippines 2011 Q4 LFS 608201221 Philippines 2012 Q1 LFS 608201222 Philippines 2012 Q2 LFS 608201223 Philippines 2012 Q3 LFS 608201224 Philippines 2012 Q4 LFS 608201321 Philippines 2013 Q1 LFS 608201322 Philippines 2013 Q2 LFS 608201323 Philippines 2013 Q3 LFS 608201324 Philippines 2013 Q4 LFS 608201421 Philippines 2014 Q1 LFS 608201422 Philippines 2014 Q2 LFS 608201423 Philippines 2014 Q3 LFS 608201424 Philippines 2014 Q4 LFS 608201521 Philippines 2015 Q1 LFS 608201522 Philippines 2015 Q2 LFS 608201523 Philippines 2015 Q3 LFS 608201524 Philippines 2015 Q4 LFS 608201621 Philippines 2016 Q1 LFS 608201622 Philippines 2016 Q2 LFS 608201623 Philippines 2016 Q3 LFS 608201624 Philippines 2016 Q4 LFS 608201721 Philippines 2017 Q1 LFS 608201722 Philippines 2017 Q2 LFS 608201723 Philippines 2017 Q3 LFS 608201724 Philippines 2017 Q4 LFS 608201821 Philippines 2018 Q1 LFS 608201822 Philippines 2018 Q2 LFS 608201823 Philippines 2018 Q3 LFS 608201824 Philippines 2018 Q4 LFS 608201921 Philippines 2019 Q1 LFS 608201922 Philippines 2019 Q2 LFS 608201923 Philippines 2019 Q3 LFS 608199001 Philippines 1990 608199501 Philippines 1995 608200001 Philippines 2000 608201001 Philippines 2010 616197801 Poland 1978 616198801 Poland 1988 616200201 Poland 2002 616201101 Poland 2011 620198101 Portugal 1981 620199101 Portugal 1991 620200101 Portugal 2001 620201101 Portugal 2011 630197001 Puerto Rico 1970 630198001 Puerto Rico 1980 630199001 Puerto Rico 1990 630200001 Puerto Rico 2000 630200501 Puerto Rico 2005 630201001 Puerto Rico 2010 630201501 Puerto Rico 2015 630202001 Puerto Rico 2020 642197701 Romania 1977 642199201 Romania 1992 642200201 Romania 2002 642201101 Romania 2011 643200201 Russia 2002 643201001 Russia 2010 646199101 Rwanda 1991 646200201 Rwanda 2002 646201201 Rwanda 2012 662198001 Saint Lucia 1980 662199101 Saint Lucia 1991 686198801 Senegal 1988 686200201 Senegal 2002 686201301 Senegal 2013 694200401 Sierra Leone 2004 694201501 Sierra Leone 2015 703199101 Slovak Republic 1991 703200101 Slovak Republic 2001 703201101 Slovak Republic 2011 705200201 Slovenia 2002 710199601 South Africa 1996 710200101 South Africa 2001 710200701 South Africa 2007 710201101 South Africa 2011 710201601 South Africa 2016 728200801 South Sudan 2008 724198101 Spain 1981 724199101 Spain 1991 724200101 Spain 2001 724201101 Spain 2011 724200521 Spain 2005 Q1 LFS 724200522 Spain 2005 Q2 LFS 724200523 Spain 2005 Q3 LFS 724200524 Spain 2005 Q4 LFS 724200621 Spain 2006 Q1 LFS 724200622 Spain 2006 Q2 LFS 724200623 Spain 2006 Q3 LFS 724200624 Spain 2006 Q4 LFS 724200721 Spain 2007 Q1 LFS 724200722 Spain 2007 Q2 LFS 724200723 Spain 2007 Q3 LFS 724200724 Spain 2007 Q4 LFS 724200821 Spain 2008 Q1 LFS 724200822 Spain 2008 Q2 LFS 724200823 Spain 2008 Q3 LFS 724200824 Spain 2008 Q4 LFS 724200921 Spain 2009 Q1 LFS 724200922 Spain 2009 Q2 LFS 724200923 Spain 2009 Q3 LFS 724200924 Spain 2009 Q4 LFS 724201021 Spain 2010 Q1 LFS 724201022 Spain 2010 Q2 LFS 724201023 Spain 2010 Q3 LFS 724201024 Spain 2010 Q4 LFS 724201121 Spain 2011 Q1 LFS 724201122 Spain 2011 Q2 LFS 724201123 Spain 2011 Q3 LFS 724201124 Spain 2011 Q4 LFS 724201221 Spain 2012 Q1 LFS 724201222 Spain 2012 Q2 LFS 724201223 Spain 2012 Q3 LFS 724201224 Spain 2012 Q4 LFS 724201321 Spain 2013 Q1 LFS 724201322 Spain 2013 Q2 LFS 724201323 Spain 2013 Q3 LFS 724201324 Spain 2013 Q4 LFS 724201421 Spain 2014 Q1 LFS 724201422 Spain 2014 Q2 LFS 724201423 Spain 2014 Q3 LFS 724201424 Spain 2014 Q4 LFS 724201521 Spain 2015 Q1 LFS 724201522 Spain 2015 Q2 LFS 724201523 Spain 2015 Q3 LFS 724201524 Spain 2015 Q4 LFS 724201621 Spain 2016 Q1 LFS 724201622 Spain 2016 Q2 LFS 724201623 Spain 2016 Q3 LFS 724201624 Spain 2016 Q4 LFS 724201721 Spain 2017 Q1 LFS 724201722 Spain 2017 Q2 LFS 724201723 Spain 2017 Q3 LFS 724201724 Spain 2017 Q4 LFS 724201821 Spain 2018 Q1 LFS 724201822 Spain 2018 Q2 LFS 724201823 Spain 2018 Q3 LFS 724201824 Spain 2018 Q4 LFS 724201921 Spain 2019 Q1 LFS 724201922 Spain 2019 Q2 LFS 724201923 Spain 2019 Q3 LFS 724201924 Spain 2019 Q4 LFS 724202021 Spain 2020 Q1 LFS 724202022 Spain 2020 Q2 LFS 724202023 Spain 2020 Q3 LFS 724202024 Spain 2020 Q4 LFS 729200801 Sudan 2008 740200401 Suriname 2004 740201201 Suriname 2012 752188001 Sweden 1880 752189001 Sweden 1890 752190001 Sweden 1900 752191001 Sweden 1910 756197001 Switzerland 1970 756198001 Switzerland 1980 756199001 Switzerland 1990 756200001 Switzerland 2000 756201101 Switzerland 2011 834198801 Tanzania 1988 834200201 Tanzania 2002 834201201 Tanzania 2012 764197001 Thailand 1970 764198001 Thailand 1980 764199001 Thailand 1990 764200001 Thailand 2000 768196001 Togo 1960 768197001 Togo 1970 768201001 Togo 2010 780197001 Trinidad and Tobago 1970 780198001 Trinidad and Tobago 1980 780199001 Trinidad and Tobago 1990 780200001 Trinidad and Tobago 2000 780201101 Trinidad and Tobago 2011 792198501 Turkey 1985 792199001 Turkey 1990 792200001 Turkey 2000 800199101 Uganda 1991 800200201 Uganda 2002 800201401 Uganda 2014 804200101 Ukraine 2001 826185101 United Kingdom 1851 (England and Wales) 826185102 United Kingdom 1851 (Scotland) 826185103 United Kingdom 1851 (2% sample) 826186101 United Kingdom 1861 (England and Wales) 826186102 United Kingdom 1861 (Scotland) 826187101 United Kingdom 1871 (Scotland) 826188101 United Kingdom 1881 (England and Wales) 826188102 United Kingdom 1881 (Scotland) 826189101 United Kingdom 1891 (England and Wales) 826189102 United Kingdom 1891 (Scotland) 826190101 United Kingdom 1901 (England and Wales) 826190102 United Kingdom 1901 (Scotland) 826191101 United Kingdom 1911 (England and Wales) 826196101 United Kingdom 1961 826197101 United Kingdom 1971 826199101 United Kingdom 1991 826200101 United Kingdom 2001 840185001 United States 1850 (100%) 840185002 United States 1850 (1%) 840186001 United States 1860 (1%) 840187001 United States 1870 (1%) 840188001 United States 1880 (100%) 840188002 United States 1880 (10%) 840190001 United States 1900 (5%) 840191001 United States 1910 (1%) 840196001 United States 1960 840197001 United States 1970 840198001 United States 1980 840199001 United States 1990 840200001 United States 2000 840200501 United States 2005 840201001 United States 2010 840201501 United States 2015 840202001 United States 2020 858196301 Uruguay 1963 858196302 Uruguay 1963 (full count) 858197501 Uruguay 1975 858197502 Uruguay 1975 (full count) 858198501 Uruguay 1985 858198502 Uruguay 1985 (full count) 858199601 Uruguay 1996 858199602 Uruguay 1996 (full count) 858200621 Uruguay 2006 858201101 Uruguay 2011 858201102 Uruguay 2011 (full count) 862197101 Venezuela 1971 862198101 Venezuela 1981 862199001 Venezuela 1990 862200101 Venezuela 2001 704198901 Vietnam 1989 704199901 Vietnam 1999 704200901 Vietnam 2009 704201901 Vietnam 2019 894199001 Zambia 1990 894200001 Zambia 2000 894201001 Zambia 2010 716201201 Zimbabwe 2012 Technical Household Variables -- HOUSEHOLD Household serial number SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database. SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred: Chile 1970, 1992, 2002Colombia 1993, 2005Costa Rica 1984, 2000Cuba 2002Dominican Republic 1981, 2002, 2010Ecuador 1990, 2001Germany 1971Hungary 1980, 1990, 2001Jamaica 1982, 1991, 2001Malaysia 1970, 1991, 2000Mexico 1995, 1990, 2000, 2005Nigeria 2006Panama 2000Peru 1993, 2007Portugal 1981, 1991, 2001Spain 1991Uruguay 2011Venezuela 1990, 2001Vietnam 1989In all other samples, the last 3 digits are always zeroes. SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets. The U.S. 1900 sample and 1880 10% sample have multi-household dwellings that can be identified using the last 3 digits of SERIAL. SERIAL is a 10-digit numeric variable. The last 3 digits of SERIAL indicate household number within dwelling for selected samples noted in the variable description. In all other samples, the last 3 digits are always zeroes. Technical Household Variables -- HOUSEHOLD Number of person records in the household PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons. PERSONS is a 4-digit numeric variable. Technical Household Variables -- HOUSEHOLD Household weight HHWT indicates the number of households in the population represented by the household in the sample. For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics. NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Household Variables -- HOUSEHOLD Subsample number SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples. 00 1st 1% subsample 01 2nd 1% subsample 02 3rd 1% subsample 03 4th 1% subsample 04 5th 1% subsample 05 6th 1% subsample 06 7th 1% subsample 07 8th 1% subsample 08 9th 1% subsample 09 10th 1% subsample 10 11th 1% subsample 11 12th 1% subsample 12 13th 1% subsample 13 14th 1% subsample 14 15th 1% subsample 15 16th 1% subsample 16 17th 1% subsample 17 18th 1% subsample 18 19th 1% subsample 19 20th 1% subsample 20 21st 1% subsample 21 22nd 1% subsample 22 23rd 1% subsample 23 24th 1% subsample 24 25th 1% subsample 25 26th 1% subsample 26 27th 1% subsample 27 28th 1% subsample 28 29th 1% subsample 29 30th 1% subsample 30 31st 1% subsample 31 32nd 1% subsample 32 33rd 1% subsample 33 34th 1% subsample 34 35th 1% subsample 35 36th 1% subsample 36 37th 1% subsample 37 38th 1% subsample 38 39th 1% subsample 39 40th 1% subsample 40 41st 1% subsample 41 42nd 1% subsample 42 43rd 1% subsample 43 44th 1% subsample 44 45th 1% subsample 45 46th 1% subsample 46 47th 1% subsample 47 48th 1% subsample 48 49th 1% subsample 49 50th 1% subsample 50 51st 1% subsample 51 52nd 1% subsample 52 53rd 1% subsample 53 54th 1% subsample 54 55th 1% subsample 55 56th 1% subsample 56 57th 1% subsample 57 58th 1% subsample 58 59th 1% subsample 59 60th 1% subsample 60 61st 1% subsample 61 62nd 1% subsample 62 63rd 1% subsample 63 64th 1% subsample 64 65th 1% subsample 65 66th 1% subsample 66 67th 1% subsample 67 68th 1% subsample 68 69th 1% subsample 69 70th 1% subsample 70 71st 1% subsample 71 72nd 1% subsample 72 73rd 1% subsample 73 74th 1% subsample 74 75th 1% subsample 75 76th 1% subsample 76 77th 1% subsample 77 78th 1% subsample 78 79th 1% subsample 79 80th 1% subsample 80 81st 1% subsample 81 82nd 1% subsample 82 83rd 1% subsample 83 84th 1% subsample 84 85th 1% subsample 85 86th 1% subsample 86 87th 1% subsample 87 88th 1% subsample 88 89th 1% subsample 89 90th 1% subsample 90 91st 1% subsample 91 92nd 1% subsample 92 93rd 1% subsample 93 94th 1% subsample 94 95th 1% subsample 95 96th 1% subsample 96 97th 1% subsample 97 98th 1% subsample 98 99th 1% subsample 99 100th 1% subsample Technical Household Variables -- HOUSEHOLD Group quarters (collective dwelling) status GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools. Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification. Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions. 00 Vacant 10 Households 20 Group quarters (collective), n.s. 21 Institutions 22 Other group quarters 29 1-person unit created by splitting large household 99 Unknown/group quarters not identified Group Quarters Variables -- HOUSEHOLD Continent and region of country REGIONW identifies the continent and region of each country. 11 Eastern Africa 12 Middle Africa 13 Northern Africa 14 Southern Africa 15 Western Africa 21 Caribbean 22 Central America 23 North America 24 South America 31 Central Asia 32 Eastern Asia 33 Southern Asia 34 South-Eastern Asia 35 Western Asia 41 Eastern Europe 42 Northern Europe 43 Southern Europe 44 Western Europe 51 Australia and New Zealand 52 Melanesia 53 Micronesia 54 Polynesia Geography: Global Variables -- HOUSEHOLD Ownership of dwelling [general version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 0 NIU (not in universe) 1 Owned 2 Not owned 9 Unknown Household Economic Variables -- HOUSEHOLD Ownership of dwelling [detailed version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 000 NIU (not in universe) 100 Owned 110 Owned, already paid 120 Owned, still paying 130 Owned, constructed 140 Owned, inherited 190 Owned, other 191 Owned, house 192 Owned, condominium 193 Apartment proprietor 194 Shared ownership 200 Not owned 210 Renting, not specified 211 Renting, government 212 Renting, local authority 213 Renting, parastatal 214 Renting, private 215 Renting, private company 216 Renting, individual 217 Renting, collective 218 Renting, joint state and individual 219 Renting, public subsidized 220 Renting, private subsidized 221 Renting, co-tenant 222 Renting, relative of tenant 223 Renting, cooperative 224 Renting, with a job or business 225 Renting, loan-backed habitation 226 Renting, mixed contract 227 Furnished dwelling 228 Sharecropping 230 Subletting 231 Rent to own 239 Renting, other 240 Occupied de facto/squatting 250 Free/usufruct (no cash rent) 251 Free, provided by employer 252 Free, without work or services 253 Free, provided by family or friend 254 Free, private 255 Free, public 256 Free, condemned 257 Free, other 260 Endowment, Waqf (Egypt historical) 290 Not owned, other 999 Unknown Household Economic Variables -- HOUSEHOLD Electricity ELECTRIC indicates whether the household had access to electricity. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Utilities Variables -- HOUSEHOLD Water supply WATSUP describes the physical means by which the housing unit receives its water. The primary distinction is whether or not the household had piped (running) water. 00 NIU (not in universe) 10 Yes, piped water 11 Piped inside dwelling 12 Piped, exclusively to this household 13 Piped, shared with other households 14 Piped outside the dwelling 15 Piped outside dwelling, in building 16 Piped within the building or plot of land 17 Piped outside the building or lot 18 Have access to public piped water 20 No piped water 99 Unknown Utilities Variables -- HOUSEHOLD Sewage SEWAGE indicates whether the household has access to a sewage system or septic tank. 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 Utilities Variables -- HOUSEHOLD Central heating HEAT indicates the type of heating in the dwelling: individual or collective central heating, non-central heating, or none. 0 NIU (not in universe) 1 No heating 2 Central heating, not specified 3 Collective central heating 4 Individual central heating 5 Other heating, not central 6 Heating, unspecified 7 No central heating/heating unknown 9 Unknown Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of rooms ROOMS indicates the number of rooms occupied by the housing unit. 00 Part of a room; no rooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Kitchen or cooking facilities KITCHEN indicates whether the household had a kitchen, cooking facilities, or room dedicated to food preparation. 00 NIU (not in universe) 10 No kitchen 11 Food is prepared in a non-kitchen room 13 Does not prepare food in the dwelling 20 Yes, have a kitchen 21 Kitchen located inside the dwelling 22 Indoor kitchen, exclusive use 23 Indoor kitchen, shared use 24 Exclusive use of kitchen (indoor/outdoor status not specified) 25 Shared use of kitchen with another household (indoor/outdoor status not specified) 26 Kitchen located outside the dwelling 27 Outdoor kitchen, exclusive use 28 Outdoor kitchen, shared use 99 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Toilet TOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation. 00 NIU (not in universe) 10 No toilet 11 No flush toilet 20 Have toilet, type not specified 21 Flush toilet 22 Non-flush, latrine 23 Non-flush, other and unspecified 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Number of bathrooms BATHROOMS indicates the number of bathrooms in the dwelling available for use by the household. 00 No bathrooms (or half bathroom) 01 1 bathroom 02 2 bathrooms 03 3 bathrooms 04 4 bathrooms 05 5 bathrooms 06 6 bathrooms 07 7 bathrooms 08 8 bathrooms 09 9 bathrooms 10 10 bathrooms 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Bathing facilities BATH indicates whether the household had access to bathing facilities and, in most cases, whether it had exclusive access. 0 NIU (not in universe) 1 No bathing facility 2 Have bathing facility, exclusivity not specified 3 Have bathing facility, exclusive use 4 Have bathing facility, shared use 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Year structure was built BUILTYR indicates the year in which construction was completed on the building in which the household resides. 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 Dwelling Characteristics Variables -- HOUSEHOLD Age of structure, coded from intervals AGESTRUCT2 gives the estimated age of the 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) Dwelling Characteristics Variables -- HOUSEHOLD Living area in square meters LIVEAREA describes the total living area in the dwelling inhabited by the household. LIVEAREA is a 3-digit numeric variable. Codes000 = NIU (not in universe) 999 = Unknown Top codes:Unless otherwise specified: 998+ Austria 1991-2001: 150+ Belarus 1999: 201+ Belarus 2009: 250+ Germany 1987: 361+ Hungary 2001: 260+ Hungary 2011: 301+ Iran 2006: 501+ Italy 2001: 150+ Italy 2011: 145+ Laos 2005: 200+ Philippines 1990-2010: 200+ Poland 2002: 200+ Romania 2002: 221+ Romania 2011: 500+ Slovenia 2002: 101+ Spain 1991: 181+ Spain 2001-2011: 900+ Switzerland 1980-1990: 400+ Switzerland 2000: 500+ Dwelling Characteristics Variables -- HOUSEHOLD Household classification HHTYPE is a constructed variable that describes the composition of households. HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ. 00 Vacant household 01 One-person household 02 Married/cohab couple, no children 03 Married/cohab couple with children 04 Single-parent family 05 Polygamous family 06 Extended family, relatives only 07 Composite household, family and non-relatives 08 Non-family household 09 Unclassified subfamily 10 Other relative or non-relative household 11 Group quarters 99 Unclassifiable Constructed Household Variables -- HOUSEHOLD Number of families in household NFAMS is a constructed variable that indicates the number of families within each household. Family membership is defined by FAMUNIT. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and a domestic employee contains two families; a household consisting of a large, multi-generation extended family with no persons unrelated to the head counts as a single family. NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail. 0 Vacant household 1 1 family 2 2 families 3 3 families 4 4 families 5 5 families 6 6 families 7 7 families 8 8 families 9 9 or more families Constructed Household Variables -- HOUSEHOLD Number of married couples in household NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household. NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household). 0 No married couples in household 1 1 couple 2 2 couples 3 3 couples 4 4 couples 5 5 couples 6 6 couples 7 7 couples 8 8 couples 9 9 or more couples Constructed Household Variables -- HOUSEHOLD Number of mothers in household NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household. NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household). 0 No mothers in household 1 1 mother 2 2 mothers 3 3 mothers 4 4 mothers 5 5 mothers 6 6 mothers 7 7 mothers 8 8 mothers 9 9 or more mothers in household Constructed Household Variables -- HOUSEHOLD Number of fathers in household NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household. NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household). 0 No fathers in household 1 1 father 2 2 fathers 3 3 fathers 4 4 fathers 5 5 fathers 6 6 fathers 7 7 fathers 8 8 fathers 9 9 or more fathers in household Constructed Household Variables -- HOUSEHOLD Head's location in household HEADLOC gives the person number (PERNUM) of the head of household in samples in which persons are organized into households. HEADLOC is a 3-digit numeric variable. Constructed Household Variables -- HOUSEHOLD Dwelling number Hungary 1980: All households This variable indicates the dwelling number. This is a 6-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Household number (within dwelling) Hungary 1980: All households This variable indicates the household number (within the dwelling). 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 Technical Household Variables -- HOUSEHOLD Number of households in dwelling Hungary 1980: All households This variable indicates the number of households in the dwelling. 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 Technical Household Variables -- HOUSEHOLD Number of persons in dwelling Hungary 1980: All households This variable indicates the number of persons in the dwelling. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 22 22 Technical Household Variables -- HOUSEHOLD Number of persons in household Hungary 1980: All households This variable indicates the number of persons in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 Technical Household Variables -- HOUSEHOLD Type of building <span class="h1">Form A: Questionnaire on dwelling</span></p> <p>Serial number of the building _ _ _ <br /><svar v="HU80A024" a="all">Type of the building _<br /></svar> <br />Number of questionnaire on dwelling _ _ _ <br />Number of enumeration district _ _ _ <svar v="HU80A024" a="all"><span class="em">Type of building</span>: the type of building should be marked on the first page on the dwelling questionnaire into the quads printed in the line with the address as follows:<br /><br /><div class="i1">1. Residential building (including vacant cottage farms)<br /><br />2. Holiday house (privately owned)<br /><br />3. Inhabited (occupied) other building: public building (e.g. school, town hall) business building (e.g. office building, business house, factory building)<br /><br />4. Institutional building (e.g. child-care institution, dormitory, worker's home, social welfare establishment, hospital, clinic, hotel and the buildings of similar establishments<br /><br />5. Occupied business (farming) build-up (e.g. wine-press house)<br /><br />6. Occupied temporary, mobile or other facility</div><br /></svar> Hungary 1980: All households This variable indicates the type of building. 1 Residential building, private holiday-cottage 3 Other inhabited building 4 Institutional building 5 Other inhabited outbuildings 6 Inhabited temporary or mobile housing unit 9 Collective dwelling Group Quarters Variables -- HOUSEHOLD Location of the dwelling within the building <span class="h1">Form A: Questionnaire on dwelling</span></p> <p>Serial number of the building _ _ _ <br /><svar v="HU80A024" a="all">Type of the building _<br /></svar> <br />Number of questionnaire on dwelling _ _ _ <br />Number of enumeration district _ _ _ Hungary 1980: Non-collective dwellings [discrepancies: none] This variable indicates the location of the dwelling within the building. 00 Ground floor 01 Floor 1 02 Floor 2 03 Floor 3 04 Floor 4 05 Floor 5 06 Floor 6 07 Floor 7 08 Floor 8 09 Floor 9 10 Floor 10 11 Floor 11 12 Floor 12 13 Floor 13 14 Floor 14 15 Floor 15 16 Floor 16 17 Floor 17 18 Floor 18 19 Floor 19 20 Floor 20+ 21 Mansard, attic 22 Basement 23 Under ground (cave, cavern) 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Designation of the dwelling <svar v="HU80A026" a="all">1. Designation<br /><div class="i1">[] 1 Occupied dwelling<br />[] 2 Non-occupied dwelling<br />[] 3 Non-occupied holiday unit<br />[] Other occupied dwelling unit, namely ____</div><br /></svar> <svar v="HU80A026" a="all"><span class="em">1. Designation of dwelling</span><br /><br />In cases of other occupied housing units, the primary designation as well as the information on the occupancy should be marked (e.g. "inhabited store", "inhabited workshop", "inhabited depository", "inhabited washing room", "inhabited tow", and "inhabited hovel").<br /></svar> Hungary 1980: All households This variable indicates the designation of the dwelling (e.g. occupied, inhabited temporarily, etc.). 1 Occupied dwelling 2 Non-occupied (vacant) dwelling 4 Other inhabited room-units 5 Inhabited temporary or mobile housing units 9 Collective dwelling Group Quarters Variables -- HOUSEHOLD Kind of ownership <svar v="HU80A027" a="all">2. Ownership character<br /><div class="i1">[] Being in personal property:</div><br /><div class="i2">[] 1.1 In a building of family house type <br />[] 1.2 Other occupied dwelling unit<br />[] 2 In block of freehold flats and private owned flats<br />[] 3 Housing co-operative</div><br /><div class="i1">[] 4 In state property<br />[] 5 In other property, namely ____</div><br /></svar> <svar v="HU80A027" a="all"><span class="em">2. Kind of ownership</span><br /><br />Dwellings owned by social organizations, associations -- with the exemption of the dwellings of the housing co-operatives -- are classified as "flats in state ownership" (code "4").<br /><br />"Flats of other ownership" (code 5) are dwellings owned by churches and foreign legal entities (foreign states, companies).<br /></svar> Hungary 1980: Non-collective dwellings [discrepancies: none] This variable indicates the kind of home ownership (e.g. personal, state, etc.). 1 Personal ownership: dwelling situated in a building of family-house type or inhabited dwelling unit 2 Personal ownership: block of freehold flats, privately owned flat 3 Personal ownership: flat of housing cooperative 4 Flat, state ownership 5 Flat, other ownership (churches, foreign legal entities) 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Title of right of dwelling <svar v="HU80A028" a="all">3. Legal title of use<br /><div class="i1">[] 1 Owner<br />[] 2 Tenant<br />[] 3 Co-tenant<br />[] 4 Other, namely ____</div><br /></svar> <svar v="HU80A028" a="all"><span class="em">3. Title of right for using</span><br /><br />The answer should refer to the use of the entire dwelling (housing unit). The categories "subtenant" and "night-lodger" must not be marked. The tenant is the person who rents the entire dwelling. E.g. in case a dwelling is taken via a broker company the title of right for using will be enumerated upon the person officially registered in the dwelling (even if he/she is not present), that is the title might be "owner" or "tenant". The title of use of the person temporarily renting the dwelling is marked as subtenant in the 5th cell of table "Data on persons enumerated in the dwelling". If the owner is not officially registered as usual resident in the dwelling the effective user of the dwelling will be regarded as "tenant" even is the lease contract was mediated by a broker.<br /><br />The title of use if a lessee is "Owner (1)", while in case of a service flat, "Tenant (2)".<br /><br />If "Other (4)" is underlined the subsequent explanation should be indicated. E.g. the explanation might be as "resident without legal right", or in case of a person being a relative of the owner and using the dwelling without any fee "user by a matter of courtesy".<br /><br />In case of vacant dwellings and vacant holiday houses (coded with "2" and "3" in question 1.) the title of right of using will not be marked.<br /></svar> Hungary 1980: Occupied non-collective dwellings [discrepancies: none] This variable indicates whether the household is owned or rented. 1 Owner 2 Tenant 3 Co-tenant 4 Other 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Construction year <svar v="HU80A029" a="all">4. Year of building [construction]<br /><div class="i1">[] Before 1900<br />[] Between 1900-1919<br />[] Between 1920-1944<br />[] Between 1945-1959<br />[] Between 1960-1969<br />[] In 197 _</div><br /></svar> <svar v="HU80A029" a="all"><span class="em">4. Year of construction</span><br /><br />The year of construction of the dwellings set up by partitioning a larger dwelling is the year of issuing the license for use of dwelling.<br /><br />As year of construction of dwelling in case of dwellings used without license for use or occupied parts of dwellings under construction is the year of moving in.<br /><br />Filling in part "Premises"<br /><br />The size of premises of dwellings (housing units) will be enumerated by their number and their total floor-space in m2.<br /><br />The floor-space of the built-in furniture will be added to the total of the premises.<br /></svar></p> <p><span class="em"> 6. Under construction</span></p> <p>"Yes" should be underlined. Hungary 1980: Non-collective dwellings [discrepancies: none] This variable indicates the construction year of the building. 00 Before 1900 19 1900-1919 44 1920-1944 59 1945-1959 69 1960-1969 70 1970 71 1971 72 1972 73 1973 74 1974 75 1975 76 1976 77 1977 78 1978 79 1979 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Supply with potable water <span class="h3">Fitting</span> <br />[Questions 12-18]</p> <p><svar v="HU80A030" a="all">13. Water supply<br /><div class="i1">[] 1 From water mains within the dwelling<br />[] 2 From water mains outside the dwelling but within the building<br />[] 3 From water mains outside the dwelling on the ground plot (courtyard) of the building<br />[] 4 From water mains outside the dwelling out side the ground plot of the building<br />[] 5 From indoor water supply within the dwelling<br />[] 6 From indoor water supply outside the dwelling but within the building<br />[] 7 Otherwise (e.g. from well, fountain) on the ground plot (courtyard) of the building<br />[] 8 Otherwise (e.g. from well, fountain) from outside the ground plot of the building</div><br /></svar> <svar v="HU80A030" a="all"><span class="em">13. Water supply</span><br /><br />In cases where the water is supplied from several sources, the one representing the higher comfort will be marked (e.g. in case both piped water and a well is available the tap water will be marked).<br /></svar> Hungary 1980: Non-collective dwellings [discrepancies: none] This variable indicates the household's source of potable water. 1 From water-mains: within the dwelling 2 From water-mains: outside the dwelling but within the building 3 From water-mains: on the ground-plot of the building 4 From water-mains: outside the ground-plot of the building 5 From indoor water supply: within the dwelling 6 From indoor water supply: outside the dwelling but within the building 7 Otherwise: on the ground-plot of the building 8 Otherwise: from outside the ground-plot of the building 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Toilet <span class="h3">Fitting</span> <br />[Questions 12-18]</p> <p><svar v="HU80A031" a="all">16. W.C. (lavatory)<br /><div class="i1">[] 1 Water closet inside the dwelling<br />[] 2 Water closet outside the dwelling<br />[] 3 Latrine</div><br /></svar> <svar v="HU80A031" a="all"><span class="em">16. Toilet</span><br /><br />Flush toilet "within the dwelling (1)" should be marked only in cases where the dwelling is connected either to the community drainage or to a local cesspool.<br /></svar> Hungary 1980: Non-collective dwellings [discrepancies: none] This variable indicates where the toilet is located. 1 Indoors 2 Outside the dwelling 3 No flushing toilet 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Sewage system <span class="h3">Fitting</span> <br />[Questions 12-18]</p> <p><svar v="HU80A032" a="all">17. Sewage disposal<br /><div class="i1">[] 1 Public sewer<br />[] 2 House sewer<br />[] 0 No sewage disposal</div><br /></svar> Hungary 1980: Non-collective dwellings [discrepancies: none] This variable indicates the type of sewage system. 1 Public sewer 2 House sewer 8 No sewage disposal 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Gas supply/pipeline <span class="h3">Fitting</span> <br />[Questions 12-18]</p> <p><svar v="HU80A033" a="all">14. Gas supply<br /><div class="i1">[] 1 Pipeline gas<br />[] 2 Gas obtained from gas cylinder<br />[] 0 No gas supply</div><br /></svar> Hungary 1980: Non-collective dwellings [discrepancies: none] This variable indicates whether the household has a gas supply/pipeline. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Heating <span class="h3">Fitting</span> <br />[Questions 12-18]</p> <p><svar v="HU80A034" a="all">15. Heating<br /><div class="i1">[] 1 Direct or block heating<br />[] 2 Individual boiler heating in the building<br />[] 3 Separate central heating in the dwelling<br />[] 4 Other individual heating -- electricity<br />[] 5 Other individual heating -- gas<br />[] 6 Other individual heating -- oil<br />[] 7 Other individual heating -- wood<br />[] 8 Other individual heating -- coal<br />[] 9 Other individual heating -- other, namely ___<br />[] 0 There is no heating</div><br /></svar> <svar v="HU80A034" a="all"><span class="em">15. Heating</span><br /><br />In cases of alternative means of heating in the dwelling, only the one supplying the larger part of the dwelling will be marked.<br /><br />If several heaters (oven, tile stove, fireplace, furnace, etc.) and heating materials are used only the most applied (coal, wood, heating oil, etc.) will be marked. If sawdust used the answer is "wood (7)" while "other (9)" comprises corn-stalk, reed, straw, paper or other wastes.<br /><br />The answer "No heating (0)" should be used in cases of dwellings without chimney.<br /></svar> Hungary 1980: Non-collective dwellings [discrepancies: none] This variable indicates the source of heating. 0 No heating 1 District-or block heating 2 Individual boiler-heating in the building 3 Separate central-heating in the dwelling 4 Other individual heating: electric 5 Other individual heating: gas 6 Other individual heating: wood 7 Other individual heating: coal 8 Other individual heating: other 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Electricity <span class="h3">Fitting</span> <br />[Questions 12-18]</p> <p><svar v="HU80A035" a="all">12. Electricity<br /><div class="i1">[] 1 Yes<br />[] 0 No</div><br /></svar> Hungary 1980: Non-collective dwellings [discrepancies: none] This variable indicates whether the household uses electricity for lighting. 1 Yes 2 No 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Number of kitchens <span class="h3">Rooms</span> <br />[Questions 5-11]</p> <p><svar v="HU80A036" a="all">7. Cooking place<br /><div class="i1">Kitchen (4 m2 and larger) ____<br />Kitchenette (smaller then 4 m2) ____</div><br /></svar> <span class="em">6. Room</span></p> <p>Rooms should be entered in descending order of the floor-space (e.g. 20, 16, 8 m2).</p> <p>If the dwelling has more than six rooms the further rooms and their floor-space will be written into the box "Comments of the enumerator" (e.g. 6/14, 7/10), than the sum of the 6+ rooms (in our case 24 m2) will be entered into the heading "6th and more".</p> <p>The roomette, dining corner must not be entered as a separate premises though their floor-space will be added to the adjoining room.</p> <p>The premises of at least 4 m2 floor-space, having natural lighting and ventilation will be regarded as separate room.</p> <p>Only the half of the total floor-space of the rooms in the attic should be taken into account. Furthermore these rooms will be regarded as rooms provided the half of their total surface exceeds 4m2.</p> <p><svar v="HU80A036" a="all"><span class="em">7. Cooking room</span> (summer kitchen)<br /><br />In cases where there is no kitchen in the dwelling but a separate or attached, so called summer kitchen is used for cooking or eventually for dining, this, depending on its floor-space, will be enumerated as kitchen or kitchenette.<br /><br />Provided its characteristics suits the concept of a room the premises originally built for using as a kitchen will be enumerated as a room.<br /><br />In cases where there is a kitchen for regular use and also a summer kitchen is used seasonally, the latter will be enumerated as "other premises". The classification will be the same even if the summer kitchen is used by a subtenant not only for cooking but also for habitation.<br /><br />Kitchen used by occupants of several dwellings will be enumerated only once.<br /></svar> Hungary 1980: Non-collective dwellings [discrepancies: none] This variable indicates the number of kitchens. 0 0 1 1 2 2 3 3 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of bathrooms <span class="h3">Rooms</span> <br />[Questions 5-11]</p> <p><svar v="HU80A037" a="all">8. Bathroom (wash basin alcove, shower stall) ____<br /></svar> <span class="em">6. Room</span></p> <p>Rooms should be entered in descending order of the floor-space (e.g. 20, 16, 8 m2).</p> <p>If the dwelling has more than six rooms the further rooms and their floor-space will be written into the box "Comments of the enumerator" (e.g. 6/14, 7/10), than the sum of the 6+ rooms (in our case 24 m2) will be entered into the heading "6th and more".</p> <p>The roomette, dining corner must not be entered as a separate premises though their floor-space will be added to the adjoining room.</p> <p>The premises of at least 4 m2 floor-space, having natural lighting and ventilation will be regarded as separate room.</p> <p>Only the half of the total floor-space of the rooms in the attic should be taken into account. Furthermore these rooms will be regarded as rooms provided the half of their total surface exceeds 4m2.</p> <p><svar v="HU80A037" a="all"><span class="em">8. Bathroom</span><br /><br />The premises used for wash in case no proper equipments (bath-tube, shower or basin) are installed must not be regarded as bathroom; this will be enumerated as "other premises".<br /><br />Bathroom used by occupants of several dwellings will be enumerated only once.<br /></svar> Hungary 1980: Non-collective dwellings [discrepancies: none] This variable indicates the number of bathrooms. 0 0 1 1 2 2 3 3 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of other room-units <span class="h3">Rooms</span> <br />[Questions 5-11]</p> <p><svar v="HU80A042 HU80A043" a="all">6. [Information on rooms]<br /><div class="i1">Ground space of the room(s) in m2</div><br /><div class="i2">First room ____<br />Second room ____<br />Third room ____<br />Fourth room ____<br />Fifth room ____<br />Sixth and further rooms ____</div><br /><div class="i1">Number of rooms ____<br /><br />Ground space of the rooms in m2 (rounded figures) ____</div><br /></svar> <span class="em">6. Room</span></p> <p>Rooms should be entered in descending order of the floor-space (e.g. 20, 16, 8 m2).</p> <p>If the dwelling has more than six rooms the further rooms and their floor-space will be written into the box "Comments of the enumerator" (e.g. 6/14, 7/10), than the sum of the 6+ rooms (in our case 24 m2) will be entered into the heading "6th and more".</p> <p>The roomette, dining corner must not be entered as a separate premises though their floor-space will be added to the adjoining room.</p> <p>The premises of at least 4 m2 floor-space, having natural lighting and ventilation will be regarded as separate room.</p> <p>Only the half of the total floor-space of the rooms in the attic should be taken into account. Furthermore these rooms will be regarded as rooms provided the half of their total surface exceeds 4m2. Hungary 1980: Non-collective dwellings [discrepancies: none] This variable indicates the number of rooms except kitchens and bathrooms. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of rooms of at least 13 sq meters <span class="h3">Rooms</span> <br />[Questions 5-11]</p> <p><svar v="HU80A039">10. Total ____<br />[Total number of rooms]<br /></svar> <span class="em">6. Room</span></p> <p>Rooms should be entered in descending order of the floor-space (e.g. 20, 16, 8 m2).</p> <p>If the dwelling has more than six rooms the further rooms and their floor-space will be written into the box "Comments of the enumerator" (e.g. 6/14, 7/10), than the sum of the 6+ rooms (in our case 24 m2) will be entered into the heading "6th and more".</p> <p>The roomette, dining corner must not be entered as a separate premises though their floor-space will be added to the adjoining room.</p> <p>The premises of at least 4 m2 floor-space, having natural lighting and ventilation will be regarded as separate room.</p> <p>Only the half of the total floor-space of the rooms in the attic should be taken into account. Furthermore these rooms will be regarded as rooms provided the half of their total surface exceeds 4m2. Hungary 1980: Non-collective dwellings [discrepancies: none] This variable indicates the number of rooms of at least 13 square meters. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 10 10 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Level of comfort (facilities) Hungary 1980: Non-collective dwellings [discrepancies: none] This variable indicates the facilities in the dwelling. 1 Dwelling with every modern convenience 2 Dwelling with modern convenience 3 Dwelling with less modern convenience 4 Dwelling without modern convenience 5 Emergency dwelling I (half-room) 6 Emergency dwelling II (small room) 7 Dwelling consisting of one single room-unit 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Floor space of the dwelling (in square meters) <svar v="HU80A042 HU80A043" a="all">6. [Information on rooms]<br /><div class="i1">Ground space of the room(s) in m2</div><br /><div class="i2">First room ____<br />Second room ____<br />Third room ____<br />Fourth room ____<br />Fifth room ____<br />Sixth and further rooms ____</div><br /><div class="i1">Number of rooms ____<br /><br />Ground space of the rooms in m2 (rounded figures) ____</div><br /></svar> <span class="em">6. Room</span></p> <p>Rooms should be entered in descending order of the floor-space (e.g. 20, 16, 8 m2).</p> <p>If the dwelling has more than six rooms the further rooms and their floor-space will be written into the box "Comments of the enumerator" (e.g. 6/14, 7/10), than the sum of the 6+ rooms (in our case 24 m2) will be entered into the heading "6th and more".</p> <p>The roomette, dining corner must not be entered as a separate premises though their floor-space will be added to the adjoining room.</p> <p>The premises of at least 4 m2 floor-space, having natural lighting and ventilation will be regarded as separate room.</p> <p>Only the half of the total floor-space of the rooms in the attic should be taken into account. Furthermore these rooms will be regarded as rooms provided the half of their total surface exceeds 4m2. Hungary 1980: Non-collective dwellings [discrepancies: none] This variable indicates the floor space of the dwelling, in square meters. 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 99 100 100 101 101 102 102 103 103 104 104 105 105 106 106 107 107 108 108 109 109 110 110 111 111 112 112 113 113 114 114 115 115 116 116 117 117 118 118 119 119 120 120 121 121 122 122 123 123 124 124 125 125 126 126 127 127 128 128 129 129 130 130 131 131 132 132 133 133 134 134 135 135 136 136 137 137 138 138 139 139 140 140 141 141 142 142 143 143 144 144 145 145 146 146 147 147 148 148 149 149 150 150 151 151 152 152 153 153 154 154 155 155 156 156 157 157 158 158 159 159 160 160 161 161 162 162 163 163 164 164 165 165 166 166 167 167 168 168 169 169 170 170 171 171 172 172 173 173 174 174 175 175 176 176 177 177 178 178 179 179 180 180 181 181 182 182 183 183 184 184 185 185 186 186 187 187 189 189 190 190 191 191 192 192 193 193 194 194 195 195 196 196 197 197 198 198 199 199 200 200 201 201 202 202 203 203 204 204 205 205 206 206 207 207 208 208 209 209 210 210 212 212 213 213 214 214 216 216 217 217 220 220 223 223 226 226 229 229 230 230 232 232 238 238 242 242 248 248 250 250 281 281 282 282 296 296 388 388 999 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Total floorspace of all the rooms exceeding 13 square meters (in square meters) <svar v="HU80A042 HU80A043" a="all">6. [Information on rooms]<br /><div class="i1">Ground space of the room(s) in m2</div><br /><div class="i2">First room ____<br />Second room ____<br />Third room ____<br />Fourth room ____<br />Fifth room ____<br />Sixth and further rooms ____</div><br /><div class="i1">Number of rooms ____<br /><br />Ground space of the rooms in m2 (rounded figures) ____</div><br /></svar> <span class="em">6. Room</span></p> <p>Rooms should be entered in descending order of the floor-space (e.g. 20, 16, 8 m2).</p> <p>If the dwelling has more than six rooms the further rooms and their floor-space will be written into the box "Comments of the enumerator" (e.g. 6/14, 7/10), than the sum of the 6+ rooms (in our case 24 m2) will be entered into the heading "6th and more".</p> <p>The roomette, dining corner must not be entered as a separate premises though their floor-space will be added to the adjoining room.</p> <p>The premises of at least 4 m2 floor-space, having natural lighting and ventilation will be regarded as separate room.</p> <p>Only the half of the total floor-space of the rooms in the attic should be taken into account. Furthermore these rooms will be regarded as rooms provided the half of their total surface exceeds 4m2. Hungary 1980: Non-collective dwellings [discrepancies: none] This variable indicates the floor space of the rooms exceeding 13 square meters (in square meters). 000 0 013 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 98 998 Unknown 999 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Household composition Hungary 1980: Occupied non-collective dwellings [discrepancies: none] This variable indicates the household composition. 01 One family: married couple: without relatives or non relatives 02 One family: married couple: with ascendant relatives 03 One family: married couple: with other relatives 04 One family: married couple: with ascendant and other relatives 05 One family: married couple: with non-relative persons 06 One family: married couple: with ascendant relatives and non-relative persons 07 One family: married couple: with other relatives and non-relatives 08 One family: married couple: with ascendant relatives, other relatives and non-relatives 09 One family: father and children: without relatives and non-relatives 10 One family: father and children: with ascendant relatives 11 One family: father and children: with ascendant relatives 12 One family: father and children: with other relatives 13 One family: father and children: with ascendant and other relatives 14 One family: father and children: with non-relative person/s 15 One family: father and children: with other relatives and non-relatives 16 One family: father and children: with ascendant relatives, other relatives and non-relative persons 17 One family: mother and children: without relatives and non-relatives 18 One family: mother and children: with ascendant relatives 19 One family: mother and children: with ascendant relatives 20 One family: mother and children: with other relatives 21 One family: mother and children: with ascendant and other relatives 22 One family: mother and children: with non-relative person/s 23 One family: mother and children: with other relatives and non-relatives 24 One family: mother and children: with ascendant relatives, other relatives and non-relative persons 25 Two families: related families (in direct line): without relatives and non-relatives 26 Two families: related families (in direct line): with relatives 27 Two families: related families (in direct line): with non-relatives 28 Two families: related families (in direct line): with relatives and non-relatives 29 Two families: families in collateral relationship: without relatives and non-relatives 30 Two families: families in collateral relationship: with relatives 31 Two families: families in collateral relationship: with non-relatives 32 Two families: families in collateral relationship: with relatives and non-relatives 33 Two families: non-relative families: without relatives and non-relatives 34 Two families: non-relative families: with relatives 35 Two families: non-relative families: with non-relatives 36 Two families: non-relative families: with relatives and non-relatives 37 Three families: without relatives and non-relatives 38 Three families: with relatives 39 Three families: with non-relatives 40 Three families: with relatives and non-relatives 41 Four or more families 42 Non-family household: one-person household 43 Non-family household: household of other composition 98 Unknown 99 NIU (not in universe) Constructed Household Variables -- HOUSEHOLD Person number PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database. PERNUM is a 4-digit numeric variable. Technical Person Variables -- PERSON Person weight PERWT indicates the number of persons in the actual population represented by the person in the sample. For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population. NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Person Variables -- PERSON Mother's location in household MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers. The method by which probable child-mother links are identified is described in PARRULE. The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of MOMLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships. To restrict MOMLOC to biological mothers, such as for own children fertility estimation, MOMLOC should be reset to zero when STEPMOM is greater than zero. MOMLOC is a 3-digit numeric variable. Codes0 = No mother of this person present in the household. 1 or higher = The person number of this person's mother Constructed Family Interrelationship Variables -- PERSON Father's location in household POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers. The method by which probable child-father links are identified is described in PARRULE. The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of POPLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships. To restrict POPLOC to biological mothers, such as for own children fertility estimation, POPLOC should be reset to zero when STEPPOP is greater than zero. POPLOC is a 3-digit numeric variable. Codes0 = No father of this person present in the household. 1 or higher = The person number of this person's father Constructed Family Interrelationship Variables -- PERSON Spouse's location in household SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses. The method by which probable spouse-spouse links are identified is described in SPRULE. The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. For more details on the construction of SPLOC, see the Comparability section of SPRULE and this paper on IPUMSI family linking methodology. SPLOC is a 3-digit numeric variable. Codes0 = No spouse of this person present in the household. 1 or higher = The person number of this person's spouse Constructed Family Interrelationship Variables -- PERSON Rule for linking parent PARRULE describes the criteria by which the IPUMS International variables MOMLOC and POPLOC linked the person to a probable mother and/or father. IPUMS International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. 00 No parent of person in household 11 Link to head or spouse, unambiguous 12 Link to head or spouse, ambiguous 21 Child-Grandchild, within empirical child cap 22 Child-Grandchild, within constructed child cap 23 Child-Grandchild, exceeds child cap 31 Specified Other Relatives, within empirical child cap 32 Specified Other Relatives, within constructed child cap 33 Specified Other Relatives, exceeds child cap 41 Other Relatives, within empirical child cap 42 Other Relatives, within constructed child cap 51 Non-Relatives, within empirical child cap 52 Non-Relatives, within constructed child cap Constructed Family Interrelationship Variables -- PERSON Rule for linking spouse SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse. IPUMS International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. 00 No spouse present 01 Rule 1: strong relationship pairing, couple adjacent 02 Rule 2: strong relationship pairing, couple not adjacent 03 Rule 3: weak relationship pairing, couple adjacent 04 Rule 4: weak relationship pairing, couple not adjacent 05 Rule 5: weak consensual union pairings 06 Rule 6: sample-specific rules (usually child-to-child) Constructed Family Interrelationship Variables -- PERSON Probable stepmother STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household. The codes for STEPMOM are as follows: 0 = Biological mother or no mother of this person present in household. 1 = Mother has no children born or surviving. 2 = Child reports mother is deceased. 3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law). 4 = Mother reports no children in the home. 5 = Age difference between mother and child was less than 12 or greater than 54 years. 6 = Child exceeds known fertility of mother. In cases where more than one criterion for a likely stepmother is met, STEPMOM will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. In cases where a mother is linked to more children than she reports in CHBORN or CHSURV, the determination of which children to flag as probable stepchildren is based first on the strength of the child-mother pairing (see PARRULE), and then on the order of children in the household roster. Since most links to a given mother will be made at the same strength level, order will often be the decisive factor in flagging probable stepmother relationships. Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population. 0 Biological mother or no mother present 1 Mother has no children born or surviving 2 Child reports mother is deceased 3 Explicitly identified step relationship 4 Mother reports no children in the home 5 Age difference implausible 6 Child exceeds known fertility of mother Constructed Family Interrelationship Variables -- PERSON Probable stepfather STEPPOP indicates whether a person's father, as identified by POPLOC, was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household. The codes for STEPPOP are as follows: 0 = Biological father or no father of this person present in household. 1 = Child reports father is deceased. 2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law). 3 = Age difference between father and child was less than 12 or greater than 54 years. In cases where more than one criterion for a likely stepfather is met, STEPPOP will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population. 0 Biological father or no father present 1 Child reports father is deceased 2 Explicitly identified step relationship 3 Age difference implausible 4 Spouse of mother 5 Identified as adopted 6 Surname difference -- male child or never-married female Constructed Family Interrelationship Variables -- PERSON Man with more than one wife linked POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. 0 No more than one wife linked via SPLOC 1 More than one wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Woman is second or higher order wife POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated. The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. 0 Person is not the 2nd or higher order wife linked via SPLOC 1 Person is the 2nd or higher order wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Family unit membership FAMUNIT is a constructed variable indicating to which family within the household a person belongs. All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). FAMUNIT is a 4-digit numeric variable. CodesIf there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on. Constructed Family Interrelationship Variables -- PERSON Number of own family members in household FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them. FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membership). The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). 0001 1 family member present 0002 2 family members present 0003 3 family members present 0004 4 0005 5 0006 6 0007 7 0008 8 0009 9 0010 10 0011 11 0012 12 0013 13 0014 14 0015 15 0016 16 0017 17 0018 18 0019 19 0020 20 0021 21 0022 22 0023 23 0024 24 0025 25 0026 26 0027 27 0028 28 0029 29 0030 30 0031 31 0032 32 0033 33 0034 34 0035 35 0036 36 0037 37 0038 38 0039 39 0040 40 0041 41 0042 42 0043 43 0044 44 0045 45 0046 46 0047 47 0048 48 0049 49 0050 50 0051 51 0052 52 0053 53 0054 54 0055 55 0056 56 0057 57 0058 58 0059 59 0060 60 0061 61 0062 62 0063 63 0064 64 0065 65 0066 66 0067 67 0068 68 0069 69 0070 70 0071 71 0072 72 0073 73 0074 74 0075 75 0076 76 0077 77 0078 78 0079 79 0080 80 0081 81 0082 82 0083 83 0084 84 0085 85 0086 86 0087 87 0088 88 0089 89 0090 90 0091 91 0092 92 0093 93 0094 94 0095 95 0096 96 0097 97 0098 98 0099 99 or more persons Constructed Family Interrelationship Variables -- PERSON Number of own children in household NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more children in household Constructed Family Interrelationship Variables -- PERSON Number of own children under age 5 in household NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more own children under age 5 in household 98 One or more children have unknown age Constructed Family Interrelationship Variables -- PERSON Age of eldest own child in household ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. ELDCH is top-coded at age 50 or older. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Age of youngest own child in household YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. YNGCH is top-coded at age 50 or older. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Relationship to household head [general version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown Demographic Variables -- PERSON Relationship to household head [detailed version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1000 Head 2000 Spouse/partner 2100 Spouse 2200 Unmarried partner 2210 Civil union 2300 Same-sex spouse/partner 3000 Child 3100 Biological child 3200 Adopted child 3300 Stepchild 3400 Child/child-in-law 3500 Child/child-in-law/grandchild 3600 Child of unmarried partner 4000 Other relative 4100 Grandchild 4110 Grandchild or great grandchild 4120 Great grandchild 4130 Great-great grandchild 4200 Parent/parent-in-law 4210 Parent 4211 Stepparent 4220 Parent-in-law 4300 Child-in-law 4301 Daughter-in-law 4302 Spouse/partner of child 4310 Unmarried partner of child 4400 Sibling/sibling-in-law 4410 Sibling 4420 Stepsibling 4430 Sibling-in-law 4431 Sibling of spouse/partner 4432 Spouse/partner of sibling 4500 Grandparent 4510 Great grandparent 4600 Parent/grandparent/ascendant 4700 Aunt/uncle 4800 Other specified relative 4810 Nephew/niece 4820 Cousin 4830 Sibling's sibling-in-law 4900 Other relative, not elsewhere classified 4910 Other relative with same family name 4920 Other relative with different family name 4930 Other relative, not specified (secondary family) 5000 Non-relative 5100 Friend/guest/visitor/partner 5110 Partner/friend 5111 Friend 5112 Partner/roommate 5113 Housemate/roommate 5120 Visitor 5130 Ex-spouse 5140 Godparent 5150 Godchild 5200 Employee 5210 Domestic employee 5220 Relative of employee, n.s. 5221 Spouse of servant 5222 Child of servant 5223 Other relative of servant 5300 Roomer/boarder/lodger/foster child 5310 Boarder 5311 Boarder or guest 5320 Lodger 5330 Foster child 5340 Tutored/foster child 5350 Tutored child 5400 Employee, boarder, or guest 5500 Other specified non-relative 5510 Agregado 5520 Temporary resident, guest 5600 Group quarters 5610 Group quarters, non-inmates 5620 Institutional inmates 5900 Non-relative, n.e.c. 6000 Other relative or non-relative 9999 Unknown Demographic Variables -- PERSON Relationship to head, Europe ERELATE describes for the European samples the relationship of the individual to the head of household -- sometimes called the householder or reference person. ERELATE has been classified according to the recommendations of the Conference of European Statisticians for the 2010 Population and Housing Censuses. 10 Reference person / Head 20 Spouse or partner 21 Husband or wife 22 Partner in consensual union 30 Child/child-in-law of head or of spouse/partner 31 Spouse or partner of child of head 40 Parent of head, of spouse, or of partner 50 Other relative of head, spouse, or partner 60 Non-relative of head 61 Foster child 62 Boarder 63 Domestic servant 64 Other 99 Not stated / unknown Demographic Variables -- PERSON Age AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. 000 Less than 1 year 001 1 year 002 2 years 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100+ 999 Not reported/missing Demographic Variables -- PERSON Age, grouped into intervals AGE2 gives computed years of age grouped into intervals. 01 0 to 4 02 5 to 9 03 10 to 14 04 15 to 19 05 0 to 5 06 6 to 10 07 10 to 15 08 11 to 14 09 15 to 17 10 16 to 19 11 18 to 24 12 20 to 24 13 25 to 29 14 30 to 34 15 35 to 39 16 40 to 44 17 45 to 49 18 50 to 54 19 55 to 59 20 60 to 64 21 65 to 69 22 70 to 74 23 75 to 79 24 80 to 84 25 85+ 98 Unknown Demographic Variables -- PERSON Sex SEX reports the sex (gender) of the respondent. 1 Male 2 Female 9 Unknown Demographic Variables -- PERSON Marital status [general version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 0 NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing Demographic Variables -- PERSON Marital status [detailed version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 000 NIU (not in universe) 100 Single/never married 110 Engaged 111 Never married and never cohabited 200 Married or consensual union 210 Married, formally 211 Married, civil 212 Married, religious 213 Married, civil and religious 214 Married, civil or religious 215 Married, traditional/customary 216 Married, monogamous 217 Married, polygamous 219 Married, spouse absent (historical samples) 220 Consensual union 300 Separated/divorced/spouse absent 310 Separated or divorced 320 Separated or annulled 330 Separated 331 Separated legally 332 Separated de facto 333 Separated from marriage 334 Separated from consensual union 335 Separated from consensual union or marriage 340 Annulled 350 Divorced 400 Widowed 410 Widowed or divorced 411 Widowed from consensual union or marriage 412 Widowed from marriage 413 Widowed from consensual union 420 Widowed, divorced, or separated 999 Unknown/missing Demographic Variables -- PERSON Marital status, Europe EMARST describes for the European samples the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. European census instructions generally limit marital status to legal unions, but there are exceptions. EMARST has been classified according to the recommendations given by the Conference of European Statisticians for the 2010 Population and Housing Censuses. 0 NIU (not in universe) 1 Never married 2 Married 3 Widowed and not remarried 4 Divorced/separated and not remarried 5 Widowed or divorced 9 Unknown / missing Demographic Variables -- PERSON Age at first marriage or union AGEMARR indicates the person's age at first marriage or consensual union. 00 NIU (not in universe) 10 10 or younger 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 Unknown Demographic Variables -- PERSON Year of first marriage MARRYR reports the year of first marriage. 1887 1887 1888 1888 1889 1889 1890 1890 1891 1891 1892 1892 1893 1893 1894 1894 1895 1895 1896 1896 1897 1897 1898 1898 1899 1899 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 9998 Unknown 9999 NIU (not in universe) Demographic Variables -- PERSON Relationship to head of subfamily 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. 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) Demographic Variables -- PERSON Subfamily membership number 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. 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 Demographic Variables -- PERSON Children ever born CHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Ethnicity, Hungary ETHNICHU indicates the ethnic group or "nationality" of the respondent in Hungary. The instructions emphasized that the response was to be the self-identification of the person and did not depend on mother tongue. 1 Hungarian 2 Slovakian 3 Rumanian 4 Croatian 5 Serbian 6 Slovenian 7 German 8 Gypsy 9 Other Ethnicity and Language Variables -- PERSON Mother tongue, Hungary MTONGHU indicates the mother tongue or language spoken at home of persons in Hungary. 10 Hungarian 20 Slovakian 30 Rumanian 40 Croatian 50 Serbian 60 Slovenian 70 Gernam 80 Gypsy 90 Other, not specified 91 Arab 92 Bulgarian 93 Bunyevác, Sokác 94 Greek 95 Hindi 96 Polish 97 Russian 98 Spanish 99 Vietnamese Ethnicity and Language Variables -- PERSON School attendance SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census. 0 NIU (not in universe) 1 Yes 2 No, not specified 3 No, attended in the past 4 No, never attended 9 Unknown/missing Education Variables -- PERSON Educational attainment, international recode [general version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 0 NIU (not in universe) 1 Less than primary completed 2 Primary completed 3 Secondary completed 4 University completed 9 Unknown Education Variables -- PERSON Educational attainment, international recode [detailed version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 000 NIU (not in universe) 100 Less than primary completed (n.s.) 110 No schooling 120 Some primary completed 130 Primary (4 yrs) completed 211 Primary (5 yrs) completed 212 Primary (6 yrs) completed 221 Lower secondary general completed 222 Lower secondary technical completed 311 Secondary, general track completed 312 Some college completed 320 Secondary or post-secondary technical completed 321 Secondary, technical track completed 322 Post-secondary technical education 400 University completed 999 Unknown/missing Education Variables -- PERSON Years of schooling YRSCHOOL indicates the highest grade/level of schooling the person had completed, in years. Only formal schooling is counted. YRSCHOOL accounts for the number of years of study, regardless of the track or kind of study. Information on degree and/or technical track is available in EDATTAIN. Years of schooling for Israel, categorized into intervals, are given in YRSCHOOL2. Users should pay close attention to the top-codes in each sample, as discussed in the comparability section. 00 None or pre-school 01 1 year 02 2 years 03 3 years 04 4 years 05 5 years 06 6 years 07 7 years 08 8 years 09 9 years 10 10 years 11 11 years 12 12 years 13 13 years 14 14 years 15 15 years 16 16 years 17 17 years 18 18 years or more 90 Not specified 91 Some primary 92 Some technical after primary 93 Some secondary 94 Some tertiary 95 Adult literacy 96 Special education 98 Unknown/missing 99 NIU (not in universe) Education Variables -- PERSON Educational attainment, Hungary EDUCHU indicates the person's educational attainment in Hungary in terms of the level of schooling completed. 000 NIU (not in universe) 110 No schooling 211 Some primary (less than 4 yrs) 212 Primary (4 yrs completed) 213 Primary (6 yrs completed) 214 Primary completed (8 yrs) 310 Secondary general 311 Some secondary 312 Secondary completed 320 Apprentice school or vocational high school certificate 321 Apprentice or vocational, with some primary 322 Apprentice or vocational, primary completed 323 Apprentice or vocational, with some secondary 400 Post-secondary education (non-tertiary) 500 Higher education 510 Some university 520 Non-university completed 530 University completed 540 Doctorate or equivalent 999 Unknown Education Variables -- PERSON Educational attainment, Europe EEDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone) for the European samples. The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. All education that was relevant to the completion of a level should be taken into account even if it was provided outside of schools and universities. EEDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EEDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EEDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country. Hungary 1980 and 1990 also give single years of schooling completed, recorded in YRSCHOOL. EEDATTAIN has been classified according to the recommendations of the Conference of European Statisticians for the 2010 Population and Housing Censuses. EEDATTAIN presents a less detailed version of EDATTAIN for the European Samples. 00 NIU (not in universe) 10 Less than primary 20 Primary (first stage of basic education) 30 Lower secondary (second stage of basic education) 40 Upper secondary 50 Post-secondary non-tertiary education 60 University completed 99 Unknown/missing Education Variables -- PERSON Labor force status, Hungary LABORHU describes economic status for the Hungary samples. 10 Active earner 11 Unemployed 12 Unemployed, experienced worker 13 Unemployed, new worker 20 On childcare leave/benefit 30 Pensioner by own right 40 Widow/widower pensioner 50 Child in school 60 Child not in school 70 Institutional dependent 80 Other inactive or dependent Work Variables -- PERSON Occupation, ISCO general OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money. 01 Legislators, senior officials and managers 02 Professionals 03 Technicians and associate professionals 04 Clerks 05 Service workers and shop and market sales 06 Skilled agricultural and fishery workers 07 Crafts and related trades workers 08 Plant and machine operators and assemblers 09 Elementary occupations 10 Armed forces 11 Other occupations, unspecified or n.e.c. 97 Response suppressed 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Occupation, unrecoded OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census. To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses. OCC is a 4-digit numeric variable. Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Argentina 1970 - see Variable: AR1970A_OCC3 - Occupation [3 digit] Argentina 1980 - see Variable: AR1980A_OCC - Occupation Argentina 1991 - see Variable: AR1991A_OCC - Occupation Argentina 2001 - see Variable: AR2001A_OCC4 - Occupation (4-digits) Armenia 2011 - see Variable: AM2011A_OCC - Occupation Austria 1971 - see Variable: AT1971A_OCCSM - Occupation of supporter: sub-major groups Austria 1981 - see Variable: AT1981A_OCCSM - Occupation of supporter: sub-major groups Austria 1991 - see Variable: AT1991A_OCCSM - Occupation of supporter: sub-major groups Austria 2001 - see Variable: AT2001A_OCCSM - Occupation of supporter: sub-major groups Belarus 1999 - see Variable: BY1999A_OCC2 - Occupation, 2 digits Belarus 2009 - see Variable: BY2009A_OCC - Occupation Benin 1979 - see Variable: BJ1979A_OCC - Occupation (2-digits) Benin 1992 - see Variable: BJ1992A_OCC3 - Occupation (3-digits) Benin 2002 - see Variable: BJ2002A_OCC - Occupation (3-digits) Benin 2013 - see Variable: BJ2013A_OCC - Occupation (3-digit) Bolivia 1976 - see Variable: BO1976A_OCC2 - Occupation, 2 digits Bolivia 1992 - see Variable: BO1992A_OCC - Occupation Bolivia 2001 - see Variable: BO2001A_OCC - Occupation, 3 digits Bolivia 2012 - see Variable: BO2012A_OCC2 - Occupation (3 digit) Botswana 1981 - see Variable: BW1981A_OCC - Occupation Botswana 1991 - see Variable: BW1991A_OCC - Occupation (last 30 days) Botswana 2001 - see Variable: BW2001A_OCC - Occupation in the past 7 days, 3 digit Botswana 2011 - see Variable: BW2011A_OCC - Occupation, 3-digits Brazil 1960 - see Variable: BR1960A_USUALOCC - Usual occupation Brazil 1970 - see Variable: BR1970A_MAINOCC - Principal occupation Brazil 1980 - see Variable: BR1980A_OCC - Occupation Brazil 1991 - see Variable: BR1991A_OCC - Occupation Brazil 2000 - see Variable: BR2000A_OCC - Occupation, 4 digits Brazil 2010 - see Variable: BR2010A_OCC - Occupation held from July 25 to July 31, 2010 Burkina Faso 1985 - see Variable: BF1985A_OCC - Principal occupation Burkina Faso 1996 - see Variable: BF1996A_OCC - Principal occupation Cambodia 1998 - see Variable: KH1998A_OCC - Occupation Cambodia 2004 - see Variable: KH2004A_OCC3 - Occupation (3-digits) Cambodia 2008 - see Variable: KH2008A_OCC - Occupation Cambodia 2013 - see Variable: KH2013A_OCC - Occupation (3-digits) Cambodia 2019 - see Variable: KH2019A_OCC1 - Occupation, 1-digit Cameroon 1976 - see Variable: CM1976A_OCC2 - Occupation (2 digits) Cameroon 2005 - see Variable: CM2005A_OCC - Occupation Canada 1971 - see Variable: CA1971A_OCC - Occupation Canada 1981 - see Variable: CA1981A_OCC - Occupation (1981 classification basis) Canada 1991 - see Variable: CA1991A_OCC80 - Occupation (1980 classification basis) Canada 2001 - see Variable: CA2001A_NOCS01P - Occupation (2001 national occupational classification for statistics) Canada 2011 - see Variable: CA2011A_OCC - Occupation Chile 1960 - see Variable: CL1960A_OCC - Occupation Chile 1970 - see Variable: CL1970A_OCC3 - Occupation (3-digit) Chile 1982 - see Variable: CL1982A_OCC3 - Occupation (3-digit) Chile 1992 - see Variable: CL1992A_OCC3 - Occupation (3-digit) Chile 2002 - see Variable: CL2002A_OCC - Occupation China 1982 - see Variable: CN1982A_OCC - Occupation China 1990 - see Variable: CN1990A_OCC - Occupation China 2000 - see Variable: CN2000A_OCC - Occupation (2-digit) Colombia 1964 - see Variable: CO1964A_OCC2 - Occupation (COTA, 4 digits) Colombia 1973 - see Variable: CO1973A_OCC - Occupation last week Costa Rica 1973 - see Variable: CR1973A_OCC3 - Occupation, 3 digits Costa Rica 1984 - see Variable: CR1984A_OCC - Occupation, 3 digits Costa Rica 2000 - see Variable: CR2000A_OCC3 - Occupation, 3 digits Costa Rica 2011 - see Variable: CR2011A_OCC - Occupation, 2-digit Cuba 2002 - see Variable: CU2002A_OCC - Occupation Cuba 2012 - see Variable: CU2012A_OCC3 - Main occupation (3-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_OCC2 - Current occupation (2-digit) Dominican Republic 1960 - see Variable: DO1960A_OCC - Occupation Dominican Republic 1970 - see Variable: DO1970A_OCC1 - Current occupation, 3 digits Dominican Republic 1981 - see Variable: DO1981A_OCC - Occupation Dominican Republic 2002 - see Variable: DO2002A_OCC - Occupation Dominican Republic 2010 - see Variable: DO2010A_OCC - Occupation Ecuador 1962 - see Variable: EC1962A_OCC - Occupation Ecuador 1974 - see Variable: EC1974A_OCC3 - Occupation, three digits Ecuador 1982 - see Variable: EC1982A_OCC3 - Occupation, 3 digits Ecuador 1990 - see Variable: EC1990A_OCC3 - Occupation, 3 digits Ecuador 2001 - see Variable: EC2001A_OCC - Occupation, 3 digits Ecuador 2010 - see Variable: EC2010A_OCC3 - Occupation (3 digits, ISCO 08) Egypt 1986 - see Variable: EG1986A_OCC3 - Occupation (3-digit) Egypt 2006 - see Variable: EG2006A_OCC - Primary occupation, 3-digit El Salvador 1992 - see Variable: SV1992A_OCC - Occupation (3-digit) El Salvador 2007 - see Variable: SV2007A_OCC3DIG - Occupation (3-digit) Ethiopia 1984 - see Variable: ET1984A_OCC2 - Occupation (2-digit) Ethiopia 1994 - see Variable: ET1994A_OCC - Occupation Fiji 1976 - see Variable: FJ1976A_OCC - Occupation Fiji 1986 - see Variable: FJ1986A_OCC - Occupation Fiji 1996 - see Variable: FJ1996A_OCC3 - Occupation (3 digits) Fiji 2007 - see Variable: FJ2007A_OCC3 - Occupation, 3 digits Fiji 2014 - see Variable: FJ2014A_OCC3 - Occupation (3 digits) Finland 2010 - see Variable: FI2010A_OCC - Occupation France 1962 - see Variable: FR1962A_SOCCUP - SAPHIR occupation France 1968 - see Variable: FR1968A_SOCC - SAPHIR occupation France 1975 - see Variable: FR1975A_SOCC - SAPHIR occupation France 1982 - see Variable: FR1982A_SOCC - SAPHIR occupation France 1990 - see Variable: FR1990A_SOCC - Saphir occupation France 1999 - see Variable: FR1999A_OCC - Occupation, ISCO France 2006 - see Variable: FR2006A_PROF486 - Detailed profession (4-digit) France 2011 - see Variable: FR2011A_PROF - Profession, 486 categories Germany 1970 - see Variable: DE1970A_OCC - Occupation Germany 1981 - see Variable: DE1981A_OCC - Occupation Germany 1987 - see Variable: DE1987A_OCC - Occupation Ghana 1984 - see Variable: GH1984A_OCC2 - Occupation, 2 digits Ghana 2000 - see Variable: GH2000A_OCC - Occupation Ghana 2010 - see Variable: GH2010A_OCC - Occupation (major groups) Greece 1971 - see Variable: GR1971A_OCC - Occupation Greece 1981 - see Variable: GR1981A_OCC - Occupation Greece 1991 - see Variable: GR1991A_OCC - Occupation Greece 2001 - see Variable: GR2001A_OCC - Occupation Greece 2011 - see Variable: GR2011A_OCC - Occupation Guatemala 1964 - see Variable: GT1964A_OCC3 - Occupation (3-digits) Guatemala 1973 - see Variable: GT1973A_OCC3 - Principal occupation (3-digits) Guatemala 1981 - see Variable: GT1981A_OCC3 - Principal occupation (3-digits) Guatemala 1994 - see Variable: GT1994A_OCC - Principal occupation (1-digit) Guatemala 2002 - see Variable: GT2002A_OCC3 - Principal occupation (3-digits) Guinea 1983 - see Variable: GN1983A_OCC2 - Occupation, 2 digits Guinea 1996 - see Variable: GN1996A_OCC - Occupation Guinea 2014 - see Variable: GN2014A_OCC - Occupation (3-digit) Haiti 1982 - see Variable: HT1982A_OCC - Main occupation or profession Haiti 2003 - see Variable: HT2003A_OCC2 - Occupation, 3 digits Honduras 1961 - see Variable: HN1961A_OCC - Occupation (2-digits) Honduras 1974 - see Variable: HN1974A_OCC2 - Occupation (3-digits) Honduras 1988 - see Variable: HN1988A_OCC4 - Occupation (4-digits) Honduras 2001 - see Variable: HN2001A_OCC - Occupation (4-digit) Honduras 2013 - see Variable: HN2013A_OCC3 - Occupation (3-digit) Hungary 1970 - see Variable: HU1970A_OCC - Occupation Hungary 1980 - see Variable: HU1980A_OCC - Occupation, scope of activity Hungary 1990 - see Variable: HU1990A_OCC - Occupation Hungary 2001 - see Variable: HU2001A_OCC - Occupation Hungary 2011 - see Variable: HU2011A_OCC - Occupation Indonesia 1971 - see Variable: ID1971A_OCC - Occupation Indonesia 1976 - see Variable: ID1976A_OCC - Primary occupation during past week Indonesia 1980 - see Variable: ID1980A_OCC - Primary occupation during the previous week (3 digit version) Indonesia 1985 - see Variable: ID1985A_OCC - Primary occupation Indonesia 1990 - see Variable: ID1990A_OCC - Main occupation last week Indonesia 1995 - see Variable: ID1995A_OCC - Occupation Indonesia 2005 - see Variable: ID2005A_OCC - Occupation Iran 2006 - see Variable: IR2006A_OCC4 - Occupation Iran 2011 - see Variable: IR2011A_OCC - Occupation (3-digit) Iraq 1997 - see Variable: IQ1997A_OCC - Occupation Ireland 1971 - see Variable: IE1971A_OCC - Occupation Ireland 1981 - see Variable: IE1981A_OCC - Occupation Ireland 1986 - see Variable: IE1986A_OCC - Occupation group Ireland 1991 - see Variable: IE1991A_OCC - Occupation group Ireland 1996 - see Variable: IE1996A_OCC - Occupation Ireland 2002 - see Variable: IE2002A_OCC - Occupation Ireland 2006 - see Variable: IE2006A_OCC - Occupation group Ireland 2011 - see Variable: IE2011A_OCC - Occupation (shuffled) Ireland 2016 - see Variable: IE2016A_OCC - Occupation (groups) Israel 1972 - see Variable: IL1972A_OCC - Occupation Israel 1983 - see Variable: IL1983A_OCC - Occupation Israel 1995 - see Variable: IL1995A_OCC - Occupation Israel 2008 - see Variable: IL2008A_OCC - Occupation Italy 2001 - see Variable: IT2001A_OCC - Occupation Italy 2011 - see Variable: IT2011A_WKTYPE - Type of work Jamaica 1982 - see Variable: JM1982A_OCC - Occupation during past week / in last job Jamaica 1991 - see Variable: JM1991A_OCC - Occupation during past week/in last job Jamaica 2001 - see Variable: JM2001A_OCC3 - Occupation 3-digit Jordan 2004 - see Variable: JO2004A_OCC3 - Major current occupation (3-digit) Kenya 1989 - see Variable: KE1989A_OCC4 - Occupation, 4 digits Kenya 2019 - see Variable: KE2019A_OCC3 - Occupation (3-digit) Kyrgyzstan 1999 - see Variable: KG1999A_OCC - Main activity Laos 1995 - see Variable: LA1995A_OCC1 - Main occupation in the last 12 months (1-digit) Lesotho 1996 - see Variable: LS1996A_OCC - Occupation (2-digits) Lesotho 2006 - see Variable: LS2006A_OCC - Occupation (2-digits) Liberia 1974 - see Variable: LR1974A_OCC2 - Occupation (2-digit) Liberia 2008 - see Variable: LR2008A_OCC - Occupation Malawi 1987 - see Variable: MW1987A_OCC2 - Occupation, 2 digit Malawi 1998 - see Variable: MW1998A_OCC2 - Occupation, 2-digit Malawi 2008 - see Variable: MW2008A_OCC2 - Occupation (2 digits) Malawi 2018 - see Variable: MW2018A_OCC1 - Main occupation (1-digit) Malaysia 1970 - see Variable: MY1970A_OCC - Occupation last week Malaysia 1980 - see Variable: MY1980A_OCC3 - Principal occupation last week (3 digits) Malaysia 1991 - see Variable: MY1991A_OCC3 - Principal occupation (3 digits) Malaysia 2000 - see Variable: MY2000A_OCC3 - Occupation -- 3 digits Mali 1987 - see Variable: ML1987A_OCC - Occupation last month Mali 1998 - see Variable: ML1998A_OCC - Main occupation Mali 2009 - see Variable: ML2009A_OCC - Principal occupation Mauritius 1990 - see Variable: MU1990A_OCC3 - Occupation (3-digit) Mauritius 2000 - see Variable: MU2000A_OCC4 - Occupation (4 digit) Mauritius 2011 - see Variable: MU2011A_OCC4 - Occupation (4-digit) Mexico 1960 - see Variable: MX1960A_OCC2 - Principal occupation, 2 digits Mexico 1970 - see Variable: MX1970A_OCC3 - Occupation 3 digit Mexico 1990 - see Variable: MX1990A_OCC - Occupation, 4 digits Mexico 1995 - see Variable: MX1995A_OCC - Occupation Mexico 2000 - see Variable: MX2000A_OCC4 - Occupation, 4 digits Mexico 2010 - see Variable: MX2010A_OCC - Occupation or trade Mexico 2015 - see Variable: MX2015A_OCC - Occupation Mexico 2020 - see Variable: MX2020A_OCC3 - Occupation (3-digits) Mongolia 2000 - see Variable: MN2000A_OCC - Occupation Mongolia 2010 - see Variable: MN2010A_OCC3 - Occupation 3 digits (ISCO-2008) Mongolia 2020 - see Variable: MN2020A_OCC3 - Occupation (3-digit) Morocco 1982 - see Variable: MA1982A_OCC3 - Occupation (3-digit) Morocco 1994 - see Variable: MA1994A_OCC3 - Occupation, 3-digit Morocco 2004 - see Variable: MA2004A_OCC3 - Occupation (3-digit) Morocco 2014 - see Variable: MA2014A_OCC2 - Occupation (2-digit) Mozambique 1997 - see Variable: MZ1997A_OCC2 - Occupation 3-digit Mozambique 2007 - see Variable: MZ2007A_OCC - Occupation Mozambique 2017 - see Variable: MZ2017A_OCC3 - Main occupation (3-digits ISCO 2008) Myanmar 2014 - see Variable: MM2014A_OCC - Occupation Nepal 2001 - see Variable: NP2001A_OCC - Usual occupation Nepal 2011 - see Variable: NP2011A_OCC1 - Occupation (1-digit) Netherlands 1960 - see Variable: NL1960A_OCC - Occupation Netherlands 1971 - see Variable: NL1971A_OCC - Occupation Netherlands 2001 - see Variable: NL2001A_OCC - Occupation Netherlands 2011 - see Variable: NL2011A_OCC - Occupation (1-digit) Nicaragua 1971 - see Variable: NI1971A_OCC - Occupation Nicaragua 1995 - see Variable: NI1995A_OCC - Occupation (ISCO 88, 3 digits) Nicaragua 2005 - see Variable: NI2005A_OCC3 - Occupation (ISCO 88, 3 digits) Pakistan 1973 - see Variable: PK1973A_OCC3 - Occupation Palestine 1997 - see Variable: PS1997A_OCC - Main occupation Palestine 2007 - see Variable: PS2007A_OCC - Main occupation Palestine 2017 - see Variable: PS2017A_OCC - Occupation Panama 1960 - see Variable: PA1960A_OCC4 - Occupation (4-digit) Panama 1970 - see Variable: PA1970A_OCC2 - Occupation, 2-digit Panama 1980 - see Variable: PA1980A_OCC2 - Occupation (3-digit) Panama 1990 - see Variable: PA1990A_OCC - Occupation Panama 2000 - see Variable: PA2000A_OCC - Occupation Panama 2010 - see Variable: PA2010A_OCC - Occupation, 3 digits Papua New Guinea 1980 - see Variable: PG1980A_OCC - Occupation, 3 digits Papua New Guinea 1990 - see Variable: PG1990A_OCC - Occupation Papua New Guinea 2000 - see Variable: PG2000A_OCC - Occupation (4-digit) Paraguay 1962 - see Variable: PY1962A_OCC1 - Occupation (1-digit) Paraguay 1972 - see Variable: PY1972A_OCC3 - Occupation (3 digits) Paraguay 1982 - see Variable: PY1982A_OCC3 - Occupation, 3-digits Paraguay 1992 - see Variable: PY1992A_OCC2 - Main occupation, 3 digits Paraguay 2002 - see Variable: PY2002A_OCC - Occupation (4 digits) Peru 1993 - see Variable: PE1993A_OCC - Occupation (3 digits) Peru 2007 - see Variable: PE2007A_OCC - Main occupation last week (3 digits) Peru 2017 - see Variable: PE2017A_OCC1 - Occupation (1-digit, in primary job last week) Philippines 1990 - see Variable: PH1990A_OCC - Occupation Philippines 2000 - see Variable: PH2000A_OCC - Occupation Philippines 2010 - see Variable: PH2010A_OCC3 - Usual occupation (3-digit) Poland 1978 - see Variable: PL1978A_OCC - Occupation Poland 1988 - see Variable: PL1988A_OCC - Main occupation Poland 2002 - see Variable: PL2002A_OCC - Occupation Portugal 1981 - see Variable: PT1981A_OCC - Main occupation Portugal 1991 - see Variable: PT1991A_OCC - Main occupation Portugal 2001 - see Variable: PT2001A_OCC - Main occupation Portugal 2011 - see Variable: PT2011A_OCC - Main occupation Puerto Rico 1970 - see Variable: PR1970A_OCC - Occupation Puerto Rico 1980 - see Variable: PR1980A_OCC - Occupation Puerto Rico 1990 - see Variable: PR1990A_OCC - Occupation Puerto Rico 2000 - see Variable: PR2000A_OCC - Occupation Puerto Rico 2005 - see Variable: PR2005A_OCC - Occupation Puerto Rico 2010 - see Variable: PR2010A_OCC - Occupation Puerto Rico 2015 - see Variable: PR2015A_OCC - Occupation last week Puerto Rico 2020 - see Variable: PR2020A_OCC2010 - Occupation last week, 2010 basis Romania 1992 - see Variable: RO1992A_OCC - Occupation Romania 2002 - see Variable: RO2002A_OCC4 - Occupation, 4 digits Romania 2011 - see Variable: RO2011A_OCC - Occupation (unrecoded) Rwanda 2002 - see Variable: RW2002A_OCC - Occupation Rwanda 2012 - see Variable: RW2012A_OCC2 - Occupation (3-digit) Saint Lucia 1991 - see Variable: LC1991A_OCC - Occupation Senegal 1988 - see Variable: SN1988A_OCC - Occupation Senegal 2002 - see Variable: SN2002A_OCC3 - Occupation, 3 digits Senegal 2013 - see Variable: SN2013A_OCC3 - Profession or occupation (3-digit) Sierra Leone 2004 - see Variable: SL2004A_OCC - Occupation Sierra Leone 2015 - see Variable: SL2015A_OCC - Main occupation in the past 12 months Slovakia 1991 - see Variable: SK1991A_OCC - Occupation (2-digit) Slovakia 2001 - see Variable: SK2001A_OCC2 - Occupation (2-digit) Slovakia 2011 - see Variable: SK2011A_OCC2 - Occupation (2-digit) Slovenia 2002 - see Variable: SI2002A_OCC - Occupation South Africa 1996 - see Variable: ZA1996A_OCC3 - Occupation, 3 digits South Africa 2001 - see Variable: ZA2001A_OCC - Occupation, 3 digit South Africa 2007 - see Variable: ZA2007A_OCC3 - Occupation, 3 digits South Sudan 2008 - see Variable: SS2008A_OCC - Occupation Spain 1981 - see Variable: ES1981A_OCC - Occupation Spain 1991 - see Variable: ES1991A_OCC - Occupation Spain 2001 - see Variable: ES2001A_OCC - Occupation Spain 2011 - see Variable: ES2011A_OCC - Occupation, 2-digits Sudan 2008 - see Variable: SD2008A_OCC - Occupation Suriname 2004 - see Variable: SR2004A_OCC - Occupation Suriname 2012 - see Variable: SR2012A_OCC - Occupation (groups) Switzerland 1970 - see Variable: CH1970A_ISCO - Present occupation (ISCO) Switzerland 1980 - see Variable: CH1980A_ISCO - Present occupation (ISCO-COM) Switzerland 1990 - see Variable: CH1990A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2000 - see Variable: CH2000A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2011 - see Variable: CH2011A_OCC - Current occupation (1-digit, ISCO-08) Tanzania 1988 - see Variable: TZ1988A_OCC - Occupation Tanzania 2002 - see Variable: TZ2002A_OCC - Occupation last week Tanzania 2012 - see Variable: TZ2012A_OCC - Occupation Thailand 1970 - see Variable: TH1970A_OCC - Principal occupation last year Thailand 1980 - see Variable: TH1980A_OCC - Occupation last year Thailand 1990 - see Variable: TH1990A_OCC3 - Occupation last year Thailand 2000 - see Variable: TH2000A_OCC3 - Occupation last year, 3 digits Togo 1960 - see Variable: TG1960A_OCC - Occupation (3-digits) Togo 1970 - see Variable: TG1970A_OCC3 - Occupation (3-digits) Togo 2010 - see Variable: TG2010A_OCC2 - Occupation (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_OCC - Main occupation (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_OCC - Main occupation during previous week (three digits) Trinidad and Tobago 2000 - see Variable: TT2000A_OCC - Main occupation (3 digits) Turkey 1985 - see Variable: TR1985A_OCC2 - Occupation (2-digit) Turkey 1990 - see Variable: TR1990A_OCC2 - Current occupation (2 digits) Turkey 2000 - see Variable: TR2000A_OCC2 - Current occupation, 2 digit Uganda 1991 - see Variable: UG1991A_OCC - Occupation, 3 digits Uganda 2002 - see Variable: UG2002A_OCC - Occupation, 3 digits Uganda 2014 - see Variable: UG2014A_OCC - Occupation (2-digits) United Kingdom 1961 - see Variable: UK1961A_OCC - Occupation United Kingdom 1971 - see Variable: UK1971A_OCC - Occupation United Kingdom 1991 - see Variable: UK1991A_OCC - Occupational classification United Kingdom 2001 - see Variable: UK2001A_OCC3 - Standard occupational classification 2000-minor United States 1960 - see Variable: US1960A_OCC - Occupation United States 1970 - see Variable: US1970A_OCC - Occupation United States 1980 - see Variable: US1980A_OCC - Occupation United States 1990 - see Variable: US1990A_OCC - Occupation United States 2000 - see Variable: US2000A_OCC - Occupation United States 2005 - see Variable: US2005A_OCC2000M - Occupation, 2000 basis, modal category assignment United States 2010 - see Variable: US2010A_OCC - Occupation United States 2015 - see Variable: US2015A_OCC - Occupation last week United States 2020 - see Variable: US2020A_OCC - Occupation last week Uruguay 1963 - see Variable: UY1963A_OCC2 - Primary occupation [2-digit] Uruguay 1975 - see Variable: UY1975A_OCC - Occupation (COTA, 3 digits) Uruguay 1985 - see Variable: UY1985A_OCC - Occupation during the past week Uruguay 1996 - see Variable: UY1996A_OCC - Occupation (ISCO 88, 3 digits) Uruguay 2006 - see Variable: UY2006A_OCC3 - Occupation (ISCO-88, 3 digits) Venezuela 1981 - see Variable: VE1981A_OCC3 - Occupation, 3 digits Venezuela 1990 - see Variable: VE1990A_OCC - Occupation, 3 digits Venezuela 2001 - see Variable: VE2001A_OCC - Occupation Vietnam 1989 - see Variable: VN1989A_OCC2 - Occupation, 2 digits Vietnam 1999 - see Variable: VN1999A_OCC3 - Occupation, 3 digit Vietnam 2009 - see Variable: VN2009A_OCC - Occupation Vietnam 2019 - see Variable: VN2019A_OCC1 - Occupation, 1 digit Zambia 1990 - see Variable: ZM1990A_OCC - Occupation Zambia 2000 - see Variable: ZM2000A_OCC - Main occupation last 12 months, 3 digits Zambia 2010 - see Variable: ZM2010A_OCC2 - Main occupation last 12 months, 3 digits Zimbabwe 2012 - see Variable: ZW2012A_OCC - Occupation (3-digits) Work Variables -- PERSON Status in employment (class of worker) [general version] CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. 0 NIU (not in universe) 1 Self-employed 2 Wage/salary worker 3 Unpaid worker 4 Other 9 Unknown/missing Work Variables -- PERSON Status in employment (class of worker) [detailed version] CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. 000 NIU (not in universe) 100 Self-employed 101 Self-employed, unincorporated 102 Self-employed, incorporated 110 Employer 111 Sharecropper, employer 120 Working on own account 121 Own account, agriculture 122 Domestic worker, self-employed 123 Subsistence worker, own consumption 124 Own account, other 125 Own account, without temporary/unpaid help 126 Own account, with temporary/unpaid help 130 Member of cooperative 140 Sharecropper 141 Sharecropper, self-employed 142 Sharecropper, employee 150 Kibbutz member 199 Self-employed, not specified 200 Wage/salary worker 201 Management 202 Non-management 203 White collar (non-manual) 204 Blue collar (manual) 205 White or blue collar 206 Day laborer 207 Employee, with a permanent job 208 Employee, occasional, temporary, contract 209 Employee without legal contract 210 Wage/salary worker, private employer 211 Apprentice 212 Religious worker 213 Wage/salary worker, non-profit, NGO 214 White collar, private 215 Blue collar, private 216 Paid family worker 217 Cooperative employee 220 Wage/salary worker, government or public sector 221 Federal, government employee 222 State government employee 223 Local government employee 224 White collar, public 225 Blue collar, public 226 Public companies 227 Civil servants, local collectives 230 Domestic worker (work for private household) 240 Seasonal migrant 241 Seasonal migrant, no broker 242 Seasonal migrant, uses broker 250 Other wage and salary 251 Canal zone/commission employee 252 Government employment/training program 253 Mixed state/private enterprise/parastatal 254 Government public work program 255 State enterprise employee 256 Coordinated and continuous collaboration job 300 Unpaid worker 310 Unpaid family worker 320 Apprentice, unpaid or unspecified 330 Trainee 340 Apprentice or trainee 350 Works for others without wage 400 Other 999 Unknown/missing Work Variables -- PERSON Status in employment (class of worker), Europe ECLASSWK refers in European Samples to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. ECLASSWK is related to EEMPSTAT (employment status), which is used to define the universe for the variable in many samples. ECLASSWK has been classified according to the recommendations given by the Conference of European Statisticians for the 2010 Population and Housing Censuses. "Class of worker" is referred to as "Status in Employment" in the CES recommendations. The former term is used to maintain concordance with IPUMS practice. 0 NIU (not in universe) 1 Employees 2 Employers 3 Own-account worker 4 Contributing family workers 5 Members of producers' co-operatives 6 Persons not classificable by status 9 Unknown Work Variables -- PERSON Sector of employment EMPSECT indicates the economic sector in which the person was employed. Economic sector is defined in terms of ownership or control of the enterprise in which the person worked. 00 NIU (not in universe) 10 Public 20 Private 21 Private, not elsewhere classified 22 Individual/family enterprise, and self-employed 23 Foreign 30 Mixed: public-private or parastatal 40 Collective or cooperative 50 Foreign government or non-governmental organization 60 Other, unspecified 61 Canal zone 62 Faith-based organization 63 Informal sector 99 Unknown Work Variables -- PERSON Person number (within household) Hungary 1980: All persons This variable indicates the person number within the household. 00 Household record 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 Technical Person Variables -- PERSON Record flag: first record in household Hungary 1980: All persons This variable indicates the record flag: first record in household. 1 No 2 Yes Person Imputation Flags Variables -- PERSON Record flag: first record in family Hungary 1980: All persons This variable indicates the record flag: first record in family. 1 No 2 Yes Person Imputation Flags Variables -- PERSON Serial number of the family within the household <span class="h2">Person enumerated</span></p> <p>1. Serial No. of the household ____</p> <p>2. Serial No. of the person in the dwelling ____</p> <p>3. Name of the person ____</p> <p>4. Family status of the person ____ <span class="em">1. Serial number of household</span></p> <p>Members of the same household will be allotted by the same household number; the latter should be entered also into the heading of the Personal questionnaire.</p> <p><span class="em">2. Serial number of person in the dwelling</span></p> <p>The "serial number of the person in the dwelling" in case of every person will be the printed number in 2d heading of the table, which should be copied too into the respective cells of the Personal questionnaire.</p> <p>In cases where a dependent person is enumerated with his/her supporter its serial number in the table (i.e. within the household) should be copied into the question 14 of the Personal questionnaire of the same dependent person. Hungary 1980: All persons This variable indicates the serial number of the family within the household. 0 0 1 1 2 2 3 3 4 4 Technical Person Variables -- PERSON Family composition <span class="h2">Person enumerated</span></p> <p>1. Serial No. of the household ____</p> <p>2. Serial No. of the person in the dwelling ____</p> <p>3. Name of the person ____</p> <p>4. Family status of the person ____ Hungary 1980: All persons This variable indicates the family composition. 0 Person not belonging to the family 1 Family composition: married couple without child 2 Family composition: married couple with child 3 Family composition: father with child 4 Family composition: mother with child Technical Person Variables -- PERSON Age <svar v="HU80A404" a="all"><div class="i1">b) Date of birth</div><br /><div class="i2">Year 1 _ _ _<br />Month ____<br />Day ____</div><br /></svar> Hungary 1980: All persons This variable indicates the person's age in years. 000 Less than 1 year 001 1 002 2 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100 101 101 102 102 Demographic Variables -- PERSON Sex 1. [Birth information] <br /><svar v=" HU80A405" a="all"> <div class="i1">a) Sex</div><br /><div class="i2">[] Male<br />[] Female</div><br /></svar> Hungary 1980: All persons This variable indicates the person's gender. 1 Male 2 Female Demographic Variables -- PERSON Marital status <svar v="HU80A406" a="all">2. Marital status<br /><div class="i1">[] 1 Single<br />[] 2 Married<br />[] 3 Widowed<br />[] 4 Divorced</div><br /></svar> <svar v="HU80A406" a="all"><span class="em">2. Marital status</span><br /><br />While entering marital status, legal state is taken into account even if the partners live together without having been married; e.g. if a never married female partner is cohabiting with a married male partner, the correct entry is: "single (1)" and "married (2)" respectively.<br /></svar> Hungary 1980: All persons This variable indicates the person's marital status. 1 Single 2 Married 3 Widowed 4 Divorced Demographic Variables -- PERSON Serial number of the household within the dwelling <span class="h2">Person enumerated</span></p> <p>1. Serial No. of the household ____</p> <p>2. Serial No. of the person in the dwelling ____</p> <p>3. Name of the person ____</p> <p>4. Family status of the person ____ <span class="em">1. Serial number of household</span></p> <p>Members of the same household will be allotted by the same household number; the latter should be entered also into the heading of the Personal questionnaire. Hungary 1980: All persons This variable indicates the serial number of the household within the dwelling. 0 Person living in institution 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 Technical Person Variables -- PERSON Serial number of the family within the household (for resident population) <span class="h2">Person enumerated</span></p> <p>1. Serial No. of the household ____</p> <p>2. Serial No. of the person in the dwelling ____</p> <p>3. Name of the person ____</p> <p>4. Family status of the person ____ <span class="em">1. Serial number of household</span></p> <p>Members of the same household will be allotted by the same household number; the latter should be entered also into the heading of the Personal questionnaire. Hungary 1980: All persons This variable indicates the serial number of the family within the household for the resident population. 0 Person living in collective and non-family households 1 1 2 2 3 3 4 4 Technical Person Variables -- PERSON Family type for resident population <span class="h2">Person enumerated</span></p> <p>1. Serial No. of the household ____</p> <p>2. Serial No. of the person in the dwelling ____</p> <p>3. Name of the person ____</p> <p>4. Family status of the person ____ Hungary 1980: Persons living in households not in collective dwelling [discrepancies: none] This variable indicates the family type for the resident population. 1 Married couple with or without children 2 Parent with children 3 Married couple with or without children and with formerly married child and/or relatives 4 Parent with or with children and with formerly married child and/or relatives 5 Parent with formerly married child and/or relatives 6 Other relatives and non-relatives 7 Single and/or non-relative 9 NIU (not in universe) Constructed Family Interrelationship Variables -- PERSON Relationship to family head <svar v="HU80A410 Hu80a425" a="all">3. Family status<br /><div class="i1">[] 1 Husband<br />[] 2 Wife<br />[] 3 Father, mother<br />[] 4 Child<br />[] 5 Ascending line relative<br />[] 6 Other relative<br />[] 7 Non relative<br />[] 8 Person living alone<br />[] Institute inhabitant</div><br /></svar> <svar v="HU80A410 HU80A411 hu80a425" a="all"><span class="em">3. Family status</span><br /><br />While defining the family status, the reference person is in case of married couple type families the husband, in case of lone parent with child(ren) families the father or the mother respectively.<br /><br />If married couple type families "husband (1)" and "wife (2)" is the correct entry, even if the partners live in consensual partnership.<br /><br />"Father (or) mother (3)" should be marked if only one of the parents live with the child(ren). The answer is "child (4)" if children of persons marked with family status "husband (1)", "wife (2)" or "father, mother (3)". Family status of adopted children and nurslings is "child (4)" too.<br /><br />"Ascending line relative (5)" is the family status of the parents, grandparents and great-grandparents of persons classified as "husband (1)", "wife (2)" or "father, mother (3)".<br /><br />"Other relative (6)" is the code for the persons not listed above (siblings of husband/wife, spouse of sibling's of husband/wife, etc.). In case blood-related persons not forming a family live together (e.g. three siblings) each person should be coded as "other relatives (6)".<br /><br />The code "non-relative (7)" is marked if non-relatives living with the family (e.g. person in state care, boarder or person supported upon contract.<br /><br />"Person living alone (8)" code is entered in case a person lives alone. The category includes the non-relatives living together (e.g. two friends).<br /><br />For private households, the code "living in institutional household" must not be used.<br /></svar></p> <p><svar v="HU80A410" a="all"><span class="h2">Annex 1</span><br /><span class="h3">Examples for answering question 3 of the Personal questionnaire</span><br /><br />In cases where the persons listed below, the family status marked with "bold" should be recorded:<br /><br /><span class="em">Husband</span>: [All the following persons are included in this category]<br /><div class="i1">One family household: Married/consensual partners<br />Household with two families: 1st family parent couple; 2nd family child couple</div><br /><br /><span class="em">Wife</span>: [All the following persons are included in this category]<br /><div class="i1">One family household: Married/consensual partners<br />Household with two families: 1st family parent couple; 2nd family child couple</div><br /><br /><span class="em">Father, mother</span>: [All the following persons are included in this category]<br /><div class="i1">Lone parent: parent</div><br /><br /><span class="em">Child</span>: [All the following persons are included in this category]<br /><div class="i1">One family household: child<br />Lone parent: child</div><br /><br /><span class="em">Ascending relative</span>: [All the following persons are included in this category]<br /><div class="i1">One family household: father of male partner</div><br /><br /><span class="em">Other relative</span>: [All the following persons are included in this category]<br /><div class="i1">Lone parent: sibling of parent<br />Household of persons other than family: Grandfather; Grandchild; Siblings (for each person)</div><br /><br /><span class="em">Non-relative</span><br /><br /><span class="em">Lone person</span>: [All the following persons are included in this category]<br /><div class="i1">Non-relatives forming one household</div><br /></svar> Hungary 1980: Persons living in households not in collective dwelling [discrepancies: none] This variable indicates the person's relationship to the family head. 1 Head: husband 2 Wife 3 Head: father or mother 4 Child 5 Ascending line relative 6 Other relative 7 Non-relative 8 Person living alone 9 NIU (not in universe) Demographic Variables -- PERSON Kinship of household residents Hungary 1980: All persons This variable indicates how the residents of a household are related to each other. 0 One-family household; or multi-family household: the first family, and the other families are not relatives with the first family 1 Multi-family household: the second and the other families if ascendant relatives with the first family 2 Multi-family household: non-ascendant relatives with the first family Constructed Family Interrelationship Variables -- PERSON Year of first marriage <svar v="HU80A412 HU80A413" a="all">4. Marriage (s) / number of children<br /><div class="i1">Only for women born before 1965.<br /><br />Year(s) of marriage(s) 19_ _<br />Number of live-born children _ _</div><br /></svar> <svar v="HU80A412" a="all"><span class="em">4. Wedding(s)</span><br /><br />In cases of never married persons, the printed quads remain blank.<br /><br />If a person having had more than four marriages the date of the further marriages will be marked in the part "Comments of the enumerator".<br /></svar> Hungary 1980: Ever-married females age 15+ [discrepancies: none] This variable indicates the year of the person's first wedding. 00 1900 01 1901 02 1902 03 1903 04 1904 05 1905 06 1906 07 1907 08 1908 09 1909 10 1910 11 1911 12 1912 13 1913 14 1914 15 1915 16 1916 17 1917 18 1918 19 1919 20 1920 21 1921 22 1922 23 1923 24 1924 25 1925 26 1926 27 1927 28 1928 29 1929 30 1930 31 1931 32 1932 33 1933 34 1934 35 1935 36 1936 37 1937 38 1938 39 1939 40 1940 41 1941 42 1942 43 1943 44 1944 45 1945 46 1946 47 1947 48 1948 49 1949 50 1950 51 1951 52 1952 53 1953 54 1954 55 1955 56 1956 57 1957 58 1958 59 1959 60 1960 61 1961 62 1962 63 1963 64 1964 65 1965 66 1966 67 1967 68 1968 69 1969 70 1970 71 1971 72 1972 73 1973 74 1974 75 1975 76 1976 77 1977 78 1978 79 1979 98 Unknown 99 NIU (not in universe) Demographic Variables -- PERSON Number of live-born children <svar v="HU80A412 HU80A413" a="all">4. Marriage (s) / number of children<br /><div class="i1">Only for women born before 1965.<br /><br />Year(s) of marriage(s) 19_ _<br />Number of live-born children _ _</div><br /></svar> <svar v="HU80A413" a="all"><span class="em">4. Number of live-born children</span><br /><br />In cases of females born in 1965 and later, the printed quads remains blank, the same is applied in cases of males.<br /><br />In case the female person did not give birth to any child "00" will be entered into the quads.<br /></svar> Hungary 1980: Females age 15+ [discrepancies: none] This variable indicates the person's number of live-born children. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Nationality <svar v="HU80A414" a="all">8. Nationality<br /><div class="i1">[] 1 Hungarian<br />[] 2 Slovakian<br />[] 3 Romanian<br />[] 4 Croatian<br />[] 5 Serbian<br />[] 6 Slovenian<br />[] 7 German<br />[] Other ______</div><br /></svar> <svar v="HU80A414" a="all"><span class="em">8. Nationality</span><br /><br />The answer given to the question without any influence and disregarding of the mother tongue will be entered.<br /></svar> Hungary 1980: All persons This variable indicates the person's nationality. 1 Hungarian 2 Slovakian 3 Rumanian 4 Croatian 5 Serbian 6 Slovenian 7 German 8 Gypsy 9 Other Nativity and Birthplace Variables -- PERSON Mother tongue <svar v="HU80A415" a="all">9. Mother language<br /><div class="i1">[] 1 Hungarian<br />[] 2 Slovakian<br />[] 3 Romanian<br />[] 4 Croatian<br />[] 5 Serbian<br />[] 6 Slovenian<br />[] 7 German<br />[] 8 Gipsy<br />[] Other</div><br /></svar> <svar v="HU80A415" a="all"><span class="em">9. Mother tongue</span><br /><br />The mother tongue is the language first taught as a child and generally spoken with the family members and declared freely, without any intervention by the respondent. The mother tongue of the dumb and the infant is the language spoken by their relatives. As mother tongue only one language must be entered.<br /></svar> Hungary 1980: All persons This variable indicates the person's mother-tongue. 1 Hungarian 2 Slovakian 3 Rumanian 4 Croatian 5 Serbian 6 Slovenian 7 German 8 Gypsy 9 Other Ethnicity and Language Variables -- PERSON Highest educational attainment 11. Educational level</p> <div class="i1">Only for those born before 1973.<br /><br />a) Type of school</div><div class="i2">[] Primary school<br />[] Higher primary school<br />[] Apprentice school<br />[] Vocational school<br />[] Secondary school<br />[] Third-level school</div><div class="i1">b) Class (year) completed ____<br /><br />c) School completed ____</div><div class="i2">[] 19 _ _ 0 Skilled worker's certificate<br />[] 19 _ _ 1 Vocational school diploma<br />[] 19 _ _ 2, 3 Secondary school-leaving certificate qualifying certificate<br />[] 19 _ _ 4-9 Diploma, leaving certificate</div><div class="i1">d) Year of obtaining the certificate 19 _ _</div> <span class="em">11. Educational attainment</span></p> <p>The number of the completed grade in each of the types of schools listed in sub-question 11/a will be entered into the quads in sub-question 11/b and the qualification obtained will be underlined at sub-question 11/c. The educational attainment should be enumerated according to the prevailing educational system.</p> <p>Qualifications obtained at specialized courses must not be entered. The former statement does not valid in cases of specialized courses if the respective legislation is specifying that by taking some state exams the given qualification will be equivalent with a completed secondary or higher education. To accept i.e. to enter the answer to questions 11 and 12 is possible only if all the required exams had been taken by the respondent.</p> <p><span class="em">11/b Class (grade) completed</span></p> <p>The completed grade is the one which might be confirmed by a certificate. In case the respondent had visited several schools of the same type the classes completed must not be summarized but the highest grade completed should be marked. In case a person born before 1973 did not attend school or at the reference date of the census is at the first grade of the primary school "0" will be entered into the quad at inscription "general, primary" and the other quads remain empty. In each of the cases after the last completed year "0" is entered and the following quads remain blank.</p> <p>Schools for mentally defective persons are treated as general (primary) schools. Hungary 1980: Persons age 7+ [discrepancies: none] This variable indicates the person's highest educational attainment. 00 No schooling 11 Primary (general) school: grade 1 12 Primary (general) school: grade 2 13 Primary (general) school: grade 3 14 Primary (general) school: grade 4 15 Primary (general) school: grade 5 16 Primary (general) school: grade 6 17 Primary (general) school: grade 7 18 Primary (general) school: grade 8 21 Higher elementary school: grade 1 22 Higher elementary school: grade 2 23 Higher elementary school: grade 3 30 Certificate of skilled worker: acquired at the day section of an apprentice school (in 1961 or later) 40 Certificate of skilled worker: acquired at the day section of an apprentice school (in 1976 or later) 50 Secondary school final examination, school leaving certificate 60 Diploma from a non-university third-level educational institution 70 University diploma 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Economic activity <svar v="HU80A417" a="all">14. Are you economically active?<br /><div class="i1">[] Yes; please continue with questions 15-18<br />[] No</div><br /><div class="i2">If no, please indicate whether<br /><br />[] Inactive earner</div><br /><div class="i3">[] 20 Being on child care allowance<br />[] 30 Pensioner, renter by own right<br />[] 31 Pensioner, renter by widow's right<br />[] 32 Other inactive earner</div><br /><div class="i2">[] Dependent</div><br /><div class="i3">[] 40 Child attending no school<br />[] 41 Pupil of primary school<br />[] 42 Pupil of secondary school<br />[] 43 Apprentice<br />[] 44 Pupil of secondary vocational school<br />[] 45 Student of third-level school<br />[] 46 Person seeking first employment<br />[] 47 Physically, mentally defective<br />[] Other dependent</div><br /><div class="i2">If other dependent but worked, working days in 1979</div><br /><div class="i3">_ _ _ Days agricultural work<br />_ _ _ Days non agricultural work<br />_ _ _ Days all together</div><br /><div class="i2">[] 1 Enumerated together with the supporter and serial number of supporter [] not [] 2 Enumerated together with the supporter and the supporter is:</div><br /><div class="i3">[] 2 Economically active<br />[] 3 On child care allowance<br />[] 4 Pensioner<br />[] 5 Other inactive earner<br />[] 6 Public institution</div><br /></svar> <span class="em">14. Is the person (active) earner?</span></p> <p>Provided not receiving pension, rent on own right and not being on leave for childcare allowance the answer "yes" should be underlined in the following cases:</p> <div class="i1">1. Persons employed (including part-time employees and outside workers) in the last week of December 1979;<br /><br />2. Members of co-operatives (agricultural, industrial, etc. co-operatives) in the last week of December 1979;<br /><br />3. Agricultural or non-agricultural own-account workers;<br /><br />4. Family helpers of non-agricultural own-account workers;<br /><br />5. Odd job workers, day laborers in agriculture;<br /><br />6. Persons in transition from job to the other, temporarily unemployed;<br /><br />7. Persons on sickness leave, maternity leave;<br /><br />8. Enlisted men, reservists on duty and imprisoned persons provided having worked before their enrolment.</div><p>In cases of pensioners on derivative rights classifiable into the first three categories above, the answer "yes" should be underlined.</p> <p>After underlining the answer "yes" the question 15 follows.</p> <p>In cases of persons underlining the answer "no," the following questions will be answered:</p> <div class="i1"><span class="em"> Inactive earner</span> is the person who is earning money without working activity.<br /><br />The "person on child-care leave (20)" is not the same as the one being on maternity leave.<br />The person is regarded as "pensioner, renter on own right (30)" in case he is receiving a pension, even if having been paid for work within the legal limits.<br /><br />The "pensioner on derivative right (31)" is receiving the pension or rent upon the decease of his/her relative (spouse, parent) who at the same time is not a student on a daily course, and does not have a stable working contract.<br /><br />"Other inactive earner (32)" is the person who</div><div class="i2">1. Is renting his land, property, dwelling, etc;<br /><br />2. Has an income from a subtenant, night-lodger;<br /><br />3. Having an income from a life-annuity contract or similar,</div><p>though he/she does <span class="em">not have any income from any other</span> sources mentioned above.</p> <div class="i1"><span class="em">Dependent</span> is the person who is supported either by private person(s) or by an institution.<br /><br />Code "child not attending a school (40)" can be given only for persons aged 0-13 years that is born between 1966 and 1979.<br /><br />The answers</div><div class="i2">1. "Primary school attendant (41)"<br />2. "Secondary school attendant (42)"<br />3. "Vocational school attendant (43)"<br />4. "Vocational secondary school attendant (44 "<br />5. "Student in higher education (45)"</div><div class="i1">shall be underlined if the given person is studying on a day course though has an income as inactive earner or being on child-care allowance leave.<br /><br />"Person seeking for first employment (47)" answer should be underlined in cases of enlisted men and imprisoned persons if before enrolment or arrest have never worked and are not pre-enrolled into an institution of higher education.<br /><br />"Disabled mentally or by body (47)" is underlined only in cases of persons 14 years and over (born in 1965 and earlier).<br /><br />"Other dependents" are the persons not belonging to the categories above aged 14 years and over (born in 1965 and earlier), e.g. housewives, family helper of agricultural own-account workers, seasonal worker, pre-enrolled student of a higher educational institution serving as a conscript.</div><span class="em">Hours worked in 1979 by the other dependents</span></p> <p>Each of the "other dependents" must be asked whether they have performed some agricultural or non-agricultural work in the course of 1979 (housekeeping is not regarded as "work"). If "yes" the number of hours worked should be asked and add together. If no work performed the quads remains blank. The work performance in days are calculated in the agriculture by 10 hours a day, in non-agricultural activities hours per day, that is to count the days in the respective sector the total number of hours should be divided either by 10 or by 8.</p> <p><span class="em">Was the dependent enumerated with the supporter person?</span><div class="i1">The framed part o the right side at question 14 must be filled in <span class="em">on every dependent</span> who had not worked in the course of 1979 more than 90 days.<br />In cases of <span class="em">dependents enumerated in the same dwelling</span> as the supporter the answer (1) must be underlined and after resuming the enumeration "the person's number in the dwelling" shall be copied into the box at the top of the Personal questionnaire of the supporter.<br /><br />If the other dependent was not enumerated with the supporter than the answer "public institution (6)" will be underlined in cases of</div><div class="i2">1. Children in state care (living in institution or with a family);<br />2. Inhabitants other than pensioners of the social homes;<br />3. Every person receiving regular social assistance.</div> Hungary 1980: All persons This variable indicates the person's economic activity. 10 Active earner 11 Inactive earner or dependent but worked for more than 90 days in the agriculture in 1979 20 Inactive earner: with childcare allowance 30 Inactive earner: pensioner on his own right 31 Inactive earner: pensioner on the right of the late husband/wife 32 Inactive earner: other 40 Dependent: not attending any school (born between 1966-1977) 41 Dependent: primary school attendant 42 Dependent: secondary school attendant 43 Dependent: vocational school attendant 44 Dependent: vocational secondary school attendant 45 Dependent: student in higher education 46 Dependent: seeking the first job in his life 47 Dependent: handicapped (born only in 1965 and before and not attending any school) 48 Dependent: other dependents (born in 1965 or before but not suiting the former categories) Work Variables -- PERSON Occupation, scope of activity <svar v="HU80A418 HU80A419 HU80A420 HU80A421 HU80A422 HU80A423 HU80A424">Questions No. 15 to 18 to be answered by:<br /><br />[Questions 15-18 were asked of those who satisfied one of the following four requirements:]<br /><div class="i1">- Answered 'yes' to question 14<br />- Inactive earners data prior to child (care leave, retiring)<br />- Other dependents having worked 90 days or longer,<br />- Dependents who were not enumerated together with the supporter (supporter's data)</div><br /></svar></p> <p><svar v="HU80A418" a="all">15. Occupation, scope of activity ____<br /></svar> <svar v="HU80A418 HU80A420 HU80A421 HU80A422 HU80A423 HU80A424"><span class="em">15--18 Occupation, general instructions</span><br /><br /> The recording of the occupational data depends on the answer given to question 14 as follows, if<br /><div class="i1">1. The answer "yes": based on the last occupation;<br />2. The person on child-care allowance leave: based on occupation before the leave;<br />3. Pensioner, renter on own right: the occupation before retirement;<br />4. Pensioner, renter on derivative right: last occupation of the deceased relative;<br />5. Conscript, reservist on duty and imprisoned persons: occupation before enrolment;<br />6. Other inactive earner: the source of livelihood marked in question 15 will be copied, questions 15-18 will not be answered;<br />7. Other dependents who worked in 1979 more than 90 days: the working activity during the year in general; in case both agricultural and non-agricultural work had been performed and the agricultural activity did not last for more than 90days questions 15-18 will be filled in according to the non-agricultural work performance. E.g. in case during 1979 an "other dependent" worked for 50 days in a canning factory while 80 days in the agriculture as family helper, the information on the occupation will be based on the work performed in the canning factory;<br />8. In cases of dependents not living with the supporter, the occupation of the supporter.</div><br /></svar></p> <p><svar v="HU80A418" a="all"><span class="em">15. Occupation, scope of work</span><br /><br />In answering the question detailed and accurate description of the occupation, scope of work is needed. The main considerations are as follows:<br /><br /><div class="i1">1. In marking the scope of activity general descriptions -- such as unskilled worker -- outside worker, official, teacher, etc. must not be used;<br /><br />2. In cases of persons performing leading-managing activity, the specification should also be marked e.g. head of department for product development, head of section in human resources;<br /><br />3. In cases of ministries, state organizations, local administrative bodies, parties and social organizations, the categories head of department, head of section, independent group manager (and the deputies), chief official, official will be entered in general, while in cases of persons working in the accounting, financial and administrative fields of the former organizations the actual occupation will be marked, (e.g. accountant, finance officer, manager in accounting, typist, etc.);<br /><br />4. In cases of transportation companies (Hungarian railways, Hungarian Shipping Co, etc.) and the Hungarian Post Co., instead of the given rank (e.g. officer, councilor, etc.) the actual job should be marked;<br /><br />5. In cases of managers and their deputies in shops, warehouse departments, restaurants, and service units (barber shop, laundry), the number of persons employed should be indicated too;<br /><br />6. In cases of foremen in agriculture, it has to be asked whether the occupation is independent and if "yes" this should be marked in brackets e.g. "(independent) foreman of working ploughs", "(independent) foreman for tractor-drivers ", "(independent) foreman in fruit cultivation";<br /><br />7. In cases of private merchants, the description should refer to the definite trade, e.g. vegetable and fruit trader, merchant in dry goods, etc.);<br /><br />8. In cases of family helpers, the description should contain information primarily on the person "helped" (e.g. member of agricultural co-operative, person working in industry though having agricultural activity as secondary source of income, private farmer, private locksmith, private merchant, etc.) and secondly if possible on the scope of the actual activity. E.g. "family helper working in animal husbandry helping a member of agricultural co-operative", "family helper working in crops production helping a private farmer", etc;<br /><br />9. The category of "agricultural day laborer" or "casual laborer" can be applied only in cases of persons working in agriculture or outside only occasionally and generally not for the same employer;<br /><br />10. In cases of outside workers, the denomination of the actual occupation should be<br />attributed as "outside worker", e.g. "underwear maker, outside worker", "draughtsman, outside worker";<br /><br />11. Occupation of the professional members of the armed forces -- in case no Personal questionnaire was given to the enumerator -- will be marked as "employee of the HM" (HM=Ministry of Defense), "employee of the BM"(BM= Ministry of the Interior) "militiaman", "fireguard", "excise man", while the civilian members of the armed forces will be marked with their actual civilian occupation;<br /><br />12. In cases of retired members of the armed forces, the mark is "employee of the HM" , "employee of the BM ", "militiaman", "fireguard", "excise man";<br /><br />13. In cases of "other inactive earners," the source of livelihood will be marked and no answers for questions 16-19 will be entered;<br /><br />14. The occupation in cases of "institutional dependent" will be as "institutional dependent" and the questions 16-19 will not be answered.</div><br /><br />Annex 3 contains examples for registration of the occupation and related entries.<br /></svar></p> <p><svar v="HU80A421" a="all"><span class="h2">Annex 3</span><br /><br /><span class="h3">Examples for filling in questions 15 and 17 of the personal questionnaire</span><br /><br /><span class="em">Manual (blue-collar) occupations</span><br /><br /><div class="i1">Skilled worker or semi-skilled worker [17 Staff group]</div><br /><div class="i2">[15 Occupation, scope of activity]<br />Type-setter Miller<br />Cashier in a shop Agricultural vehicle mechanic<br />Bulldozer operator Tractor driver in agriculture<br />Crane operator Founder<br />Grocery shopkeeper Smelter<br />Turner Foundry operator<br />Radio mechanic Grocery shop assistant<br />Elevator handler in construction plant Detonator handler<br />Pig-man Hairdresser<br />Booby-hatch driver Milk taker machine operator<br />Assembler in clothing industry Motor mechanic<br />Body-smith Glassblower<br />Smith in general Producer of pneumatic tyres<br />Digger Roller(man)<br />Vegetable grower Order collector<br />Dressmaker outworker Knitter outworker<br />Embroiderer outworker Producer of paper products as outworker</div><br /><br /><div class="i1">Skilled worker [17 Staff group]</div><br /><div class="i2">[15 Occupation, scope of activity]<br />Engine-driver Passenger car driver<br />Printing machine operator Track driver</div><br /><br /><div class="i1">Semi-skilled worker [17 Staff group]</div><br /><div class="i2">[15 Occupation, scope of activity]<br />Janitor Walking plough<br />Excavator Mailman</div><br /><br /><div class="i1">Semi-skilled worker or unskilled worker [17 Staff group]</div><br /><div class="i2">[15 Occupation, scope of activity]<br />Manual material handler Transport worker<br />Stevedore Cleaner</div><br /><br /><span class="em">Non-manual (blue-collar) occupations</span><br /><br /><div class="i1">Leading, managing1 [17 Staff group]</div><br /><div class="i2">[15 Occupation, scope of activity]<br />Head of production unit Manager of an agricultural plant in animal husbandry<br />Director of a general school Deputy Director of investment department<br />Foreman of construction works Technological director<br />Chief agriculturist Head of section of technology<br />Independent foreman in agriculture Director of a community centre<br />Foreman in a mechanical plant Shopkeeper in a butcher's with three vendor<br />Head of department for product Deputy Head of financial development department<br />Foreman in metallurgic plant Managing chief physician in a rehabilitation hospital<br />Chief physician of a hospital section Professor managing a university' faculty<br />Deputy Head of accountancy Plant manager</div><br /><br /><div class="i1">Specialised employee [17 Staff group]</div><br /><div class="i2">[15 Occupation, scope of activity]<br />Teacher in primary school Judge at a county court<br />Internal controller Designer in civil engineering<br />University assistant professor Human resources officer<br />Specialist in power management Draftsman<br />Dispatcher in construction works Demonstrator at university of medicine<br />Mechanical technician Independent laboratory technician<br />Head of group in RD Head of statistics group<br />Cost accountant School teacher<br />Physician in a hospital Telex operator<br />District physician Nurse</div><br /><br /><div class="i1">Administrative employee [17 Staff group]</div><br /><div class="i2">[15 Occupation, scope of activity]<br />Keeper of storage registers Stock-taker<br />Payroll clerk Bill accountant<br />Typist Secretary<br />Accountant Company cashier</div><br /><br />[The shopkeepers in shops, restaurants, service stations employing three or more persons are classified into leading-managing staff group].<br /></svar> Hungary 1980: Persons who were economically active or who worked more than 90 days in agriculture in 1979 [discrepancies: none] This variable indicates the person's occupation. 01 Occupations of armed forces requiring higher (third-level) qualification 02 Occupations of armed forces requiring secondary-level qualification 11 Legislators, senior government officials, senior officials of nation-wide special-interest organisations 12 Senior officials of regional and local self-government, public administration, jurisdiction and special-interest organisations 13 Managers of business and budgetary institutions 21 Engineering and natural science professional 22 Health professionals 24 Teaching professionals 25 Business, legal and social science professionals 26 Cultural, sport, artistic and religious professionals 29 Professionals not elsewhere classified (n.e.c.) 31 Technicians and related associate professionals 32 Health associate professionals 34 Teaching associate professionals 35 Legal, life and property protection services associate professionals 36 Business and financial intermediation clerks 37 Cultural, sport, artistic and religious associate professionals 41 Office clerks 42 Management (consumer services) clerks 51 Wholesale and retail trade, hotels and restaurants workers 52 Transport, postal and communications workers 53 Non-material service workers 61 Skilled agricultural workers 62 Skilled forestry and game farming workers 63 Skilled fishery workers 64 Plant protection, plant health protection and soil conservation workers 71 Extraction workers 72 Food processing and related trades workers 73 Light industry workers 74 Steel and metal trades workers 75 Handicraft, miscellaneous industry and warehouse workers, laboratory assistants 76 Construction workers 81 Manufacturing machine operators 82 Other stationary-plant operators 83 Mobile-plant operators 91 Elementary services occupations (without agriculture) 92 Agricultural and forestry labourers 99 NIU (not in universe) Work: Occupation Variables -- PERSON Status in employment <svar v="HU80A418 HU80A419 HU80A420 HU80A421 HU80A422 HU80A423 HU80A424">Questions No. 15 to 18 to be answered by:<br /><br />[Questions 15-18 were asked of those who satisfied one of the following four requirements:]<br /><div class="i1">- Answered 'yes' to question 14<br />- Inactive earners data prior to child (care leave, retiring)<br />- Other dependents having worked 90 days or longer,<br />- Dependents who were not enumerated together with the supporter (supporter's data)</div><br /></svar></p> <p><svar v="HU80A419" a="all">16. Occupation status<br /><div class="i1">[] 1, 2 Employed<br />[] 3, 4 Member of co-operative<br />[] 5 Own account worker<br />[] 6-9 family helper</div><br /></svar> <svar v="HU80A420" a="all"><span class="em">17. Staff group, function</span><br /><br />This question must not be asked of the following persons:<br /><br /><div class="i1">1. Own account workers (private entrepreneurs);<br /><br />2. Family helpers;<br /><br />3. Professional and retired members of the armed forces.</div><br /><br />In cases of manual workers (blue collars), the staff group ("skilled worker", "semi-skilled worker" or "unskilled worker") will be marked. (The actual staff group of the person is defined by his/her employer.)<br /><br />In cases of agricultural day laborers and casual laborers, the answer "unskilled worker (3)" will be underlined.<br /><br />In cases of the non-manual workers (white-collars), the respective answer should be underlined.<br /></svar> Hungary 1980: Persons who were economically active or who worked more than 90 days in agriculture in 1979 [discrepancies: none] This variable indicates the person's employment status (e.g. employee, member of co-operative,etc.). 1 Employed 2 Member of cooperative 3 Own-account worker 4 Assisting (helping) family member 9 NIU (not in universe) Work Variables -- PERSON Manual/non-manual worker <svar v="HU80A418 HU80A419 HU80A420 HU80A421 HU80A422 HU80A423 HU80A424">Questions No. 15 to 18 to be answered by:<br /><br />[Questions 15-18 were asked of those who satisfied one of the following four requirements:]<br /><div class="i1">- Answered 'yes' to question 14<br />- Inactive earners data prior to child (care leave, retiring)<br />- Other dependents having worked 90 days or longer,<br />- Dependents who were not enumerated together with the supporter (supporter's data)</div><br /></svar></p> <p><svar v="HU80A420" a="all">17. Staff group, post<br /><div class="i1">Manual worker</div><br /><div class="i2">[] 1 Skilled worker<br />[] 2 Semi skilled worker<br />[] 3 Unskilled worker</div><br /><div class="i1">Non-manual worker</div><br /><div class="i2">[] 7 Manager<br />[] 8 Special employee<br />[] 9 Administrator</div><br /></svar> <svar v="HU80A420" a="all"><span class="em">17. Staff group, function</span><br /><br />This question must not be asked of the following persons:<br /><br /><div class="i1">1. Own account workers (private entrepreneurs);<br /><br />2. Family helpers;<br /><br />3. Professional and retired members of the armed forces.</div><br /><br />In cases of manual workers (blue collars), the staff group ("skilled worker", "semi-skilled worker" or "unskilled worker") will be marked. (The actual staff group of the person is defined by his/her employer.)<br /><br />In cases of agricultural day laborers and casual laborers, the answer "unskilled worker (3)" will be underlined.<br /><br />In cases of the non-manual workers (white-collars), the respective answer should be underlined.<br /></svar> Hungary 1980: Persons who were economically active or who worked more than 90 days in agriculture in 1979 [discrepancies: none] This variable indicates whether the person is a manual laborer. 1 Manual workers: skilled 2 Manual workers: semi-skilled 3 Manual workers: unskilled 4 Manual workers: other 5 Non-manual worker: manager 6 Non-manual worker: qualified employee 7 Non-manual worker: other (office) clerk 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Sector <svar v="HU80A418 HU80A419 HU80A420 HU80A421 HU80A422 HU80A423 HU80A424">Questions No. 15 to 18 to be answered by:<br /><br />[Questions 15-18 were asked of those who satisfied one of the following four requirements:]<br /><div class="i1">- Answered 'yes' to question 14<br />- Inactive earners data prior to child (care leave, retiring)<br />- Other dependents having worked 90 days or longer,<br />- Dependents who were not enumerated together with the supporter (supporter's data)</div><br /></svar></p> <p><svar v="HU80A418" a="all">15. Occupation, scope of activity ____<br /></svar> <span class="em">18. Employer, place of work</span></p> <p>The question must not be answered in case the answer to question 16 is either "own-account worker (5)" or "family helper 6-9"</p> <p><span class="em">18/a Employer</span></p> <p>The official name and address (at least the locality, in Budapest also the district) of the employer should be registered. The employer is where the given person is working in an occupation marked in question 15.</p> <p>Exemptions:</p> <div class="i1">1. In cases of own-account workers and their employees, family helpers the correct entry might be e.g. "private farmer", "own-account locksmith", "own-account fruit and vegetable merchant", "private person" (in case of domestics), etc.;<br /><br />2. In cases of causal laborers or agricultural day laborers the correct entry is "occasional employer" or "private farmers";<br /><br />3. In cases of professional and civilian members of the armed forces -- if no Personal questionnaire received by the enumerator -- the entry is always "HM", "BM", "BV" (BV=Ministry of Justice), Militia, Fireworks).</div><p>In cases of the latter two categories the sub-questions 18/b, c will not be answered.</p> <p><span class="em">18/a Place of work</span></p> <p>As place of work the section, shop, educational, health, social or welfare unit (kindergarten, nursery, recreation house, et.) of the employer, that is the workplace where the given person is going to for work daily will be marked. Hungary 1980: Persons who were economically active or who worked more than 90 days in agriculture in 1979 [discrepancies: none] This variable indicates the sector in which the person works. 1 State sector 2 Cooperative sector 3 Private sector 9 NIU (not in universe) Work Variables -- PERSON Work location <svar v="HU80A418 HU80A419 HU80A420 HU80A421 HU80A422 HU80A423 HU80A424">Questions No. 15 to 18 to be answered by:<br /><br />[Questions 15-18 were asked of those who satisfied one of the following four requirements:]<br /><div class="i1">- Answered 'yes' to question 14<br />- Inactive earners data prior to child (care leave, retiring)<br />- Other dependents having worked 90 days or longer,<br />- Dependents who were not enumerated together with the supporter (supporter's data)</div><br /></svar></p> <p><svar v="HU80A421 HU80A422 HU80A423 HU80A424" a="all">18. [Further employment details]<br /><div class="i1">a) Employer ____<br /><br />b) Working place ____<br /><br />c) Where do you go to work?</div><br /><div class="i2">Commune, town ____<br />District ____</div><br /></svar> <span class="em">18/c Where the respondent does go for work?</span></p> <p>If the answer to question 14/b is "yes" than the address (at least the locality, in Budapest also the district) of the workplace marked in question 18/b will be given here.</p> <p>In cases of persons having a traveling job (railways, travel companies, etc.) and of those working for transport, service, repair and similar companies, the address is the site where the daily person's daily work is commencing. In their cases the answer "not fixed" must not be accepted.</p> <p>In cases of persons working for construction companies, the place of work is the actual construction site where at the reference date of the enumeration the respondent worked.</p> <p>In cases where the cultivated land and the estates of an agricultural company are expanding to several localities, the workplace of the person working for the agricultural company is not the address of the company, but the locality where during 1979 the enumerated person regularly or mostly worked.</p> <p>If a person works abroad, only the name of the country should be marked. Hungary 1980: Persons who were economically active or who worked more than 90 days in agriculture in 1979 [discrepancies: none] This variable indicates the person's location of work. 1 Working in the county of residence 2 Working in neighboring county 3 Working in remote county 9 NIU (not in universe) Work Variables -- PERSON Relationship to household head <svar v="HU80A410 Hu80a425" a="all">3. Family status<br /><div class="i1">[] 1 Husband<br />[] 2 Wife<br />[] 3 Father, mother<br />[] 4 Child<br />[] 5 Ascending line relative<br />[] 6 Other relative<br />[] 7 Non relative<br />[] 8 Person living alone<br />[] Institute inhabitant</div><br /></svar> <svar v="HU80A410 HU80A411 hu80a425" a="all"><span class="em">3. Family status</span><br /><br />While defining the family status, the reference person is in case of married couple type families the husband, in case of lone parent with child(ren) families the father or the mother respectively.<br /><br />If married couple type families "husband (1)" and "wife (2)" is the correct entry, even if the partners live in consensual partnership.<br /><br />"Father (or) mother (3)" should be marked if only one of the parents live with the child(ren). The answer is "child (4)" if children of persons marked with family status "husband (1)", "wife (2)" or "father, mother (3)". Family status of adopted children and nurslings is "child (4)" too.<br /><br />"Ascending line relative (5)" is the family status of the parents, grandparents and great-grandparents of persons classified as "husband (1)", "wife (2)" or "father, mother (3)".<br /><br />"Other relative (6)" is the code for the persons not listed above (siblings of husband/wife, spouse of sibling's of husband/wife, etc.). In case blood-related persons not forming a family live together (e.g. three siblings) each person should be coded as "other relatives (6)".<br /><br />The code "non-relative (7)" is marked if non-relatives living with the family (e.g. person in state care, boarder or person supported upon contract.<br /><br />"Person living alone (8)" code is entered in case a person lives alone. The category includes the non-relatives living together (e.g. two friends).<br /><br />For private households, the code "living in institutional household" must not be used.<br /></svar></p> <p><svar v="HU80A410" a="all"><span class="h2">Annex 1</span><br /><span class="h3">Examples for answering question 3 of the Personal questionnaire</span><br /><br />In cases where the persons listed below, the family status marked with "bold" should be recorded:<br /><br /><span class="em">Husband</span>: [All the following persons are included in this category]<br /><div class="i1">One family household: Married/consensual partners<br />Household with two families: 1st family parent couple; 2nd family child couple</div><br /><br /><span class="em">Wife</span>: [All the following persons are included in this category]<br /><div class="i1">One family household: Married/consensual partners<br />Household with two families: 1st family parent couple; 2nd family child couple</div><br /><br /><span class="em">Father, mother</span>: [All the following persons are included in this category]<br /><div class="i1">Lone parent: parent</div><br /><br /><span class="em">Child</span>: [All the following persons are included in this category]<br /><div class="i1">One family household: child<br />Lone parent: child</div><br /><br /><span class="em">Ascending relative</span>: [All the following persons are included in this category]<br /><div class="i1">One family household: father of male partner</div><br /><br /><span class="em">Other relative</span>: [All the following persons are included in this category]<br /><div class="i1">Lone parent: sibling of parent<br />Household of persons other than family: Grandfather; Grandchild; Siblings (for each person)</div><br /><br /><span class="em">Non-relative</span><br /><br /><span class="em">Lone person</span>: [All the following persons are included in this category]<br /><div class="i1">Non-relatives forming one household</div><br /></svar> Hungary 1980: Persons living in private dwellings [discrepancies: none] This variable indicates the person's relationship to the household head. 1 Head: husband; parent living without spouse; or person living alone 2 Wife 3 Child 4 Ascending line relative 5 Other relative 6 Non-relative 8 Unknown: person not a member of the first family 9 NIU (not in universe) Demographic Variables -- PERSON Family number within household <span class="h2">Person enumerated</span></p> <p>1. Serial No. of the household ____</p> <p>2. Serial No. of the person in the dwelling ____</p> <p>3. Name of the person ____</p> <p>4. Family status of the person ____ Hungary 1980: All persons This variable indicates the person's family number within the household. 1 1 2 2 3 3 4 4 Technical Person Variables -- PERSON