Population census 2001 DDI_HUN_2001_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. Population census 2001 - IPUMS Subset PHC hu2001a (IPUMS Harmonized Subset) HUN_2001_PHC_v01_M_v7.6_A_IPUMS Hungarian Central Statistical Office IPUMS (c) Copyright 2001, 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 Nativity and Birthplace Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Education Variables -- PERSON Constructed Family Interrelationship 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 Utilities Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Demographic Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Nativity and Birthplace Variables -- PERSON Fertility and Mortality Variables -- PERSON Education Variables -- PERSON Work Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON Other Person Variables -- PERSON February 1, 2001 February 1-21, 2001 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: A unit of places and rooms with specific functions (living rooms, cooking places, sanitary places etc.) generally architecturally connected to each other and intended for human accommodation. - Households: Yes - 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 2001 MICRODATA SOURCE: Hungarian Central Statistical Office SAMPLE SIZE (person records): 510502. SAMPLE DESIGN: Systematic sample of every 20th dwelling after a random start; drawn by the national statistical office Face-to-face [f2f] Dwelling questionnaire, person questionnaire, institutional building's and household's questionnaire de jure, CENSUS DAY: February 1, 2001 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. Population census 2001 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 hu2001a, 2025 HUN2001_PHC-H-H.dat Household records 227,252 ascii Minnesota Population Center Version 7.5, IPUMS sample HUN2001_PHC-P-H.dat Person records 510502 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 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 Hot water heater HOTWATER indicates whether the housing unit had a water heater. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Central heating HEAT indicates the type of heating in the dwelling: individual or collective central heating, non-central heating, or none. 0 NIU (not in universe) 1 No heating 2 Central heating, not specified 3 Collective central heating 4 Individual central heating 5 Other heating, not central 6 Heating, unspecified 7 No central heating/heating unknown 9 Unknown Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD 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 2001: 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 2001: All households This variable indicates the household number (within the dwelling). 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 Technical Household Variables -- HOUSEHOLD Number of households in dwelling Hungary 2001: All households This variable indicates the number of households in the dwelling. 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 Technical Household Variables -- HOUSEHOLD Number of persons in dwelling Hungary 2001: 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 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 Technical Household Variables -- HOUSEHOLD Number of persons in household Hungary 2001: 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 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 Technical Household Variables -- HOUSEHOLD Group quarters, inferred Hungary 2001: All households This variable indicates whether the person can be inferred to be in group quarters. 0 No 1 Persons lacked an input dwelling record, suggesting they are from a group quarters Technical Household Variables -- HOUSEHOLD Number of families in the dwelling Hungary 2001: All households This variable indicates the number of families in the dwelling. 00 Vacant dwelling 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 Technical Household Variables -- HOUSEHOLD Dwelling created by splitting apart a large dwelling or household Hungary 2001: All households This variable indicates whether the dwelling was created by splitting apart a large dwelling or household. 0 No problem 1 Yes: households within a large dwelling were split apart into separate dwellings 2 Yes: persons within a large household were split apart into separate dwellings Technical Household Variables -- HOUSEHOLD Position of dwelling within the building <svar v="HU01A026" a="all">Place of enumeration<br /><br />____ City or locality<br />____ District<br />____ Part of locality<br />____ Street, road, square, etc.<br />____ House number<br />____ Building<br />____ Staircase<br />____ Ground floor, floor<br />____ Door<br /></svar> Hungary 2001: Non-collective dwellings [discrepancies: none] This variable indicates the position of the dwelling within the building. 00 Groundfloor, mezzanine 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+ 31 Mansard, garret 32 Basement or cellar 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Type of building <svar v="HU01A027" a="all">1. The type of building<br /><div class="i1">[] 1 Residential building<br />[] 2 Recreation building<br />[] 3 Occupied other building<br />[] 4 Collective living quarters (i.e. college, workers' hostel, social welfare home, hotel, pension)<br />[] 5 Occupied other premises</div><br /></svar> <svar v="HU01A027" a="all"><span class="em">Question 1: Type of the building?</span><br /><br />Residential building: building where the majority of spaces are used exclusively or mostly as a dwelling. The category also covers the collective houses, which accommodate private households and the buildings used for accommodation by the seasonal workers (e.g. vacant cottage house).<br /><br />Holiday house (recreation building): a building with one or more units suitable for recreation, rest rehabilitation, but sometimes even for habitation.<br /><br />Occupied other building: a building incorporating premises and rooms used for other than habitation purposes, and at the same time at least one dwelling or occupied other housing unit. This building might be a school, office-house, shopping-house, industrial plant, but on the other hand dormitories, workers' accommodation houses, social homes, children's homes, day nurseries, hotels and hospitals do not belong to this category.<br /><br />Building for institutional household(s) (collective housing unit): building intended for the use by persons belonging to an institutional household (dormitories, workers' accommodation houses, social homes, children's homes, day nurseries, hotels etc.).<br />Occupied other housing unit and building: the housing unit other than listed above, such as business building temporary (e.g. store, shop wine-press house, summer kitchen, etc.), and mobile or other building (e.g. hovel hut, caravan, cave, etc.).<br /></svar> Hungary 2001: All households This variable indicates the type of building. 1 Residential building 2 Holiday house 3 Inhabited other building (e.g. school, office building, factory, shopping house) 4 Institution (e.g. students' hostel, workers' home social home, hotel, pension) 5 Other occupied structure (hut, hovel, cara etc.) 9 Collective dwelling Group Quarters Variables -- HOUSEHOLD Year of construction of building <svar v="HU01A028" a="all">2. When was the building built?<br /><div class="i1">[] 900 Before 1900<br />[] 919 1900-1919<br />[] 944 1920-1944<br />[] 959 1945-1959<br />[] 969 1960-1969<br />[] 979 1970-1979<br />[] 989 1980-1989<br />[] In 199_<br />[] 000 In 2000<br />[] 001 In 2001</div><br /></svar></p> <p><svar v="HU01A028">2. In the case of buildings used without usage permit, the year of construction is considered to be the date when the first occupant moved into the house. You have to mark the year or period of reconstruction if the main construction elements of the building have been changed (e.g. replacement of ceiling occurred, main walls of the building were opened).<br /></svar> <svar v="HU01A028" a="all"><span class="em">Question 2: When was the building built?</span><br /><br />The year of construction in cases of the new buildings is the year when the license for using the dwellings was issued. In cases of multi-dwelling houses, the year of the issue of the license might be different. In such cases, the year of construction is the year of the issue of the first license.<br /><br />In cases of older houses where no license for the habitation had been issued, the year of construction is the year when the first occupant moved into his/her dwelling.<br /><br />If of the buildings where the main elements had been substantially changed (e.g. the ceiling between the levels had been changed, etc.), the year of construction of the building is the year of completion of reconstruction works. The modernization of the dwellings, connecting transforming two dwellings into or dividing one into two dwellings is not regarded as new construction.<br /></svar> Hungary 2001: Non-collective dwellings [discrepancies: none] This variable indicates the year of construction of the building. 1900 Before 1900 1919 1900-1919 1944 1920-1944 1959 1945-1959 1969 1960-1969 1979 1970-1979 1989 1980-1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 9999 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Type of housing unit <svar v="HU01A029" a="all">4. Type of the dwelling<br /><div class="i1">[] 1 For habitation<br />[] 2 For recreation<br />[] 3 Occupied other housing unit (shop, workshop, laundry, press-house, hovel, house on wheels, etc.)</div><br /></svar> <svar v="HU01A029" a="all"><span class="em">Question 4: Type of housing unit</span><br /><br />The dwelling is a unit of places and rooms with specific functions (living rooms, cooking places, sanitary places etc.), generally technically (architecturally) connected to each other, intended for human accommodation, stay (home) or converted into dwelling and also suitable for living at present, which has a separate en-trance from a public place, courtyard or from a collectively used place inside the building (staircase, corridor etc.). The dwelling gives protection against the harm caused by the weather and the environment and is suitable for permanent stay of one (or more) private households.<br /><br />The group of technically (architecturally) adjoining places, connected with inner passages, will be considered at the enumeration as one dwelling also in cases when the passages of one or several places were blocked temporarily but not walled (e.g. in the case of co-tenancy). A mostly separate place, building -- e.g. the summer kitchen of detached family house -- built as a part of the dwelling should be considered as part of the dwelling if it was used by the household living in the main building. However, a summer kitchen let to a subtenant, i.e. used by an outside household, forms a separate housing unit.<br /><br />The premises of the building built originally or converted into shop, restaurant, workshop, etc. are not regarded as part of the dwelling even if those can be entered directly from the dwelling.<br /><br />The holiday house (holiday housing unit in a building for recreation in individual or collective ownership) practically has the same characteristics as the dwelling though usually those are not necessarily suitable for use during the entire year; those are used generally for rest, recreation, summer holidays. The building built-for-one of the former purposes will be enumerated as holiday house only if<br /><div class="i1">It has at least 12 square meters total floor-space;<br />The walls and roof is made of durable material revisiting to the storm and bed weather;<br />The floor is covered with a solid material (concrete, wood, etc);<br />It has at least one room of total surface exceeding 6 square meters;<br />At least one window ensures the natural light in the premises;<br />Hygienic facilities are available.</div><br />The holiday house -- mostly temporarily -- might serve different purposes e.g. as temporary residence, place of stay, etc. though should be coded always as holiday house.<br /><br />The buildings not suiting the above requirements (e.g. fisherman's house, common weekend house, other buildings made of non-durable materials, wine press-houses, etc.) as well as the temporary, mobile or other facilities (e.g. tool-shed, motorbus body, caravan, trailer, etc.) should not regarded as holiday houses, consequently the must not be enumerated. The respective addresses will be marked on the "List of addresses" with the code "holiday housing unit not suiting the requirements of a holiday house (08)".<br /><br />Occupied other housing units are the following:<br /><div class="i1">Business premises, which have been built with primary designation as shop, office, workshop, depository, washing room, garage, wine press-house, etc., and have not been transformed into dwelling, nevertheless at least one person is living there;<br />The building erected on the parcel of the main building, containing mostly one single premise. These facilities have been usually built for future accommodation of subtenants, night-lodgers, or for other purposes than habitation and at the reference date of the census were occupied at least by one subtenant or night-lodger.</div><br /></svar> Hungary 2001: All households This variable indicates the type of housing unit. 1 Dwelling 2 Seasonal/holiday housing unit 3 Occupied other housing unit (shop, workshop, laundry, hut, cara etc.) 9 Collective dwelling Group Quarters Variables -- HOUSEHOLD Occupancy status of housing unit <svar v="HU01A030" a="all">5. Use and occupancy of the dwelling<br /><div class="i1">[] 1 Occupied, home of the occupants<br />[] 2 Seasonally occupied or kept for secondary use<br />[] 3 Occupied by the institutional household<br />[] 4 Occupied by the people out of the scope of the census<br />[] 5 Unoccupied (vacant)<br />[] 6 Housing unit not used for habitation<br />[] 7 Used for recreation</div><br /></svar> <svar v="HU01A030" a="all"><span class="em">Question 5: Use and occupancy of dwelling</span><br /><br />Occupied as usual residence of the inhabitants: the code will be given if the dwelling was in use continuously, all year round.<br /><br />Occupied but used temporarily or as second dwelling (home): the answer refers to the nature of occupancy. This type of dwellings are not used constantly but only temporarily in a given period of the year. The dwelling -- even if it was not vacant at the reference date of the census -- can be qualified as used temporarily. The group includes the dwellings used by definite laborers (e.g. in cases of persons working off home, or the cottage houses used primarily during the summer) as well as the dwellings in the proximity of the towns used generally in good weather conditions.<br /><br />Occupied housing unit used by an institution: the answer will be marked provided at least five persons receiving accommodation and full board are living there. If less than five persons are living in the dwelling, the answer is not institutional household but "occupied, residence of the inhabitants".<br /><br />Occupied, inhabitants not subject to the census: this is the answer if the dwellings are occupied by the members of the foreign diplomatic corps in Hungary, the foreign military personnel staying in Hungary upon the authorization of the Parliament as well as in cases of tourists, visitors, and foreigners staying in the country for medical treatment and business purposes. In such situations -- if the enumerators was not supplied before the enumeration with a completed dwelling sheet from the supervisor -- the inhabitants should not be bothered; the respective questionnaire will be completed based on the answers given by the neighbors, the janitor or on the corresponding data of the similar dwellings in the building.<br /><br />Dwelling used for other purposes than habitation: the code is marked if the unit's main characteristics comply with those of a dwelling but at the reference date of the census it is not used as a dwelling (e.g. as medical cabinet, office, shop, etc.). The classification is valid only if the unit is suitable for habitation without any transformation.<br /><br />Housing unit used for rest, recreation: the housing unit is used characteristically temporary rest and recreation. This is the proper answer in cases of cottage houses used for the previous purposes.<br /></svar> Hungary 2001: Non-collective dwellings [discrepancies: none] This variable indicates the occupancy status of the housing unit. 0 NIU (not in universe) 1 Occupied 2 Seasonally occupied, secondary dwelling 4 Occupied by persons not belonging to the scope of the census 5 Vacant dwelling 6 Dwelling used for other than habitation 7 Holiday housing unit Technical Household Variables -- HOUSEHOLD Type of ownership <svar v="HU01A031" a="all">6.1 Who is the owner?<br /><div class="i1">[] 1 Natural person<br />[] 2 Local government<br />[] 3 Church, religious community<br />[] 4 Enterprise, co-operative, other economic organization, institution</div><br /></svar> <svar v="HU01A031" a="all"><span class="em">Question 6: Ownership</span><br /><br /><span class="em">Question 6.1 Who is the owner?</span><br /><br />The dwelling is property of:<br /><div class="i1">A natural person if the dwelling is owned by a private person or by several persons (joint property). The majority of the holiday houses is owned by natural persons;<br />An undertaking, co-operative, other business organization, institution if the owner of the dwelling is an association, joint company, limited liability company, joint-stock company, co-operative, lawyer's office, private business partnership of teachers, artist's fellowship, partnership for construction, condominium, private entrepreneur, central government organization, social security organization, non-profit organization (party, association, trade union, foundation, chamber, and public utility company, etc.).</div><br /></svar> Hungary 2001: Non-collective dwellings [discrepancies: none] This variable indicates the type of ownership of the dwelling. 0 NIU (not in universe) 1 Natural person 2 Local government 3 Church, religious community 4 Enterprise, cooperative, other economic unit, institution Household Economic Variables -- HOUSEHOLD Number of rooms, and availability of kitchen <svar v="HU01A032 HU01A033 HU01A034 HU01A035 HU01A036" a="all">7. Number of Rooms<br /><div class="i1">_ _ Over 12 square meters<br />_ Between 4 and 12 square meters<br />_ Kitchen (4 square meters or bigger)<br />_ Kitchenette or cupboard<br />_ Bathroom with bath or shower<br />_ Bathroom without bath or shower</div><br /></svar></p> <p><svar v="HU01A032 HU01A033 HU01A034 HU01A035 HU01A036">7. A room is considered as a place bigger than 4 square meters with door and window, and used for daily residence or sleeping. Consulting rooms, offices, workshops, etc., as well as a hall and a dining-room with a window are also considered as rooms. Places joining rooms through a hatch without door (e.g. alcove, dining-box) must not be considered as a separate room, it should be counted in together with a room or kitchen instead.<br /></svar> <svar v="HU01A032 HU01A033 HU01A034 HU01A035 HU01A036" a="all"><span class="em">Question 7: Number of rooms</span><br /><br />The total number of the premises -- in cases of rooms, kitchens, kitchenettes taking into account their total floor-space too -- of the dwelling (holiday house, other housing unit) should be marked in the printed boxes. While defining the total floor-space of the premises also the floor-space occupied by the built-in furniture and the adjoining parts of the dwelling -- like alcove, cubicle, and dining area -- should be taken into account. The common spaces serving different functions (e.g. cooking area and living room in common space) should be divided by the designations and should be enumerated as separate premises. In cases mansard premises, only the floor-space of the parts less than 1, 90 cm high should not be counted into the total.<br /><br />Rooms are premises provided with direct natural light and ventilation (with doors, windows), with a floor space of at least 4 square meters, serving for sleeping or staying during the day (bedroom, children's room, dining-room etc.). The hall and the eating-place having also a window, as well as the premises of room-like character used as consultation rooms, waiting rooms, offices etc. also figure among the rooms.<br /><br />Kitchens are spaces established and used for cooking (maybe, also for eating), of a floor space of at least 4 square meters, in general provided with direct, natural light and ventilation (with window, door). When assigning the rooms and premises for cooking by floor space, the floor space of the adjoining alcove or eating place was included into that of the respective room or kitchen.<br /><br />Kitchenettes are premises of a floor space under 4 square meters, built and used for cooking. (To this group belong also tea-kitchenettes and cooking cupboards.).<br /><br />If the dwelling itself does not have a kitchen or kitchenette but there is a summer kitchen which is used by the inhabitants of the main building as a kitchen it should be regarded as a kitchen. If the separate building where the kitchen was has several premises only the one used as a kitchen must be taken into account.<br /></svar></p> <p><svar v="HU01A032">In cases of occupied other housing units the premises should be recorded according to their utilization, nevertheless the other housing unit consists only of a single premises the floor-space should be counted as it was a room.<br /></svar> Hungary 2001: Non-collective dwellings [discrepancies: none] This variable indicates the number of rooms, and the availability of a kitchen. 0 No room 1 1 room with no kitchen 2 1 room with kitchen(s) 3 2 rooms with no kitchen 4 2 rooms with kitchen(s) 5 3 6 4 7 5 8 6 or more 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of kitchens of 4 m2 or more <svar v="HU01A032 HU01A033 HU01A034 HU01A035 HU01A036" a="all">7. Number of Rooms<br /><div class="i1">_ _ Over 12 square meters<br />_ Between 4 and 12 square meters<br />_ Kitchen (4 square meters or bigger)<br />_ Kitchenette or cupboard<br />_ Bathroom with bath or shower<br />_ Bathroom without bath or shower</div><br /></svar></p> <p><svar v="HU01A032 HU01A033 HU01A034 HU01A035 HU01A036">7. A room is considered as a place bigger than 4 square meters with door and window, and used for daily residence or sleeping. Consulting rooms, offices, workshops, etc., as well as a hall and a dining-room with a window are also considered as rooms. Places joining rooms through a hatch without door (e.g. alcove, dining-box) must not be considered as a separate room, it should be counted in together with a room or kitchen instead.<br /></svar> <svar v="HU01A032 HU01A033 HU01A034 HU01A035 HU01A036" a="all"><span class="em">Question 7: Number of rooms</span><br /><br />The total number of the premises -- in cases of rooms, kitchens, kitchenettes taking into account their total floor-space too -- of the dwelling (holiday house, other housing unit) should be marked in the printed boxes. While defining the total floor-space of the premises also the floor-space occupied by the built-in furniture and the adjoining parts of the dwelling -- like alcove, cubicle, and dining area -- should be taken into account. The common spaces serving different functions (e.g. cooking area and living room in common space) should be divided by the designations and should be enumerated as separate premises. In cases mansard premises, only the floor-space of the parts less than 1, 90 cm high should not be counted into the total.<br /><br />Rooms are premises provided with direct natural light and ventilation (with doors, windows), with a floor space of at least 4 square meters, serving for sleeping or staying during the day (bedroom, children's room, dining-room etc.). The hall and the eating-place having also a window, as well as the premises of room-like character used as consultation rooms, waiting rooms, offices etc. also figure among the rooms.<br /><br />Kitchens are spaces established and used for cooking (maybe, also for eating), of a floor space of at least 4 square meters, in general provided with direct, natural light and ventilation (with window, door). When assigning the rooms and premises for cooking by floor space, the floor space of the adjoining alcove or eating place was included into that of the respective room or kitchen.<br /><br />Kitchenettes are premises of a floor space under 4 square meters, built and used for cooking. (To this group belong also tea-kitchenettes and cooking cupboards.).<br /><br />If the dwelling itself does not have a kitchen or kitchenette but there is a summer kitchen which is used by the inhabitants of the main building as a kitchen it should be regarded as a kitchen. If the separate building where the kitchen was has several premises only the one used as a kitchen must be taken into account.<br /></svar> Hungary 2001: Non-collective dwellings [discrepancies: none] This variable indicates the number of kitchens that are 4 square meters or more in area. 0 None 1 1 2 2 3 3 4 4 or more 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of kitchenettes less than 4 square meters <svar v="HU01A032 HU01A033 HU01A034 HU01A035 HU01A036" a="all">7. Number of Rooms<br /><div class="i1">_ _ Over 12 square meters<br />_ Between 4 and 12 square meters<br />_ Kitchen (4 square meters or bigger)<br />_ Kitchenette or cupboard<br />_ Bathroom with bath or shower<br />_ Bathroom without bath or shower</div><br /></svar></p> <p><svar v="HU01A032 HU01A033 HU01A034 HU01A035 HU01A036">7. A room is considered as a place bigger than 4 square meters with door and window, and used for daily residence or sleeping. Consulting rooms, offices, workshops, etc., as well as a hall and a dining-room with a window are also considered as rooms. Places joining rooms through a hatch without door (e.g. alcove, dining-box) must not be considered as a separate room, it should be counted in together with a room or kitchen instead.<br /></svar> <svar v="HU01A032 HU01A033 HU01A034 HU01A035 HU01A036" a="all"><span class="em">Question 7: Number of rooms</span><br /><br />The total number of the premises -- in cases of rooms, kitchens, kitchenettes taking into account their total floor-space too -- of the dwelling (holiday house, other housing unit) should be marked in the printed boxes. While defining the total floor-space of the premises also the floor-space occupied by the built-in furniture and the adjoining parts of the dwelling -- like alcove, cubicle, and dining area -- should be taken into account. The common spaces serving different functions (e.g. cooking area and living room in common space) should be divided by the designations and should be enumerated as separate premises. In cases mansard premises, only the floor-space of the parts less than 1, 90 cm high should not be counted into the total.<br /><br />Rooms are premises provided with direct natural light and ventilation (with doors, windows), with a floor space of at least 4 square meters, serving for sleeping or staying during the day (bedroom, children's room, dining-room etc.). The hall and the eating-place having also a window, as well as the premises of room-like character used as consultation rooms, waiting rooms, offices etc. also figure among the rooms.<br /><br />Kitchens are spaces established and used for cooking (maybe, also for eating), of a floor space of at least 4 square meters, in general provided with direct, natural light and ventilation (with window, door). When assigning the rooms and premises for cooking by floor space, the floor space of the adjoining alcove or eating place was included into that of the respective room or kitchen.<br /><br />Kitchenettes are premises of a floor space under 4 square meters, built and used for cooking. (To this group belong also tea-kitchenettes and cooking cupboards.).<br /><br />If the dwelling itself does not have a kitchen or kitchenette but there is a summer kitchen which is used by the inhabitants of the main building as a kitchen it should be regarded as a kitchen. If the separate building where the kitchen was has several premises only the one used as a kitchen must be taken into account.<br /></svar> Hungary 2001: Non-collective dwellings [discrepancies: none] This variable indicates the number of kitchenettes less than 4 square meters in area. 0 None 1 1 2 2 3 3 4 4 or more 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of bathrooms with fixed bath or shower <svar v="HU01A032 HU01A033 HU01A034 HU01A035 HU01A036" a="all">7. Number of Rooms<br /><div class="i1">_ _ Over 12 square meters<br />_ Between 4 and 12 square meters<br />_ Kitchen (4 square meters or bigger)<br />_ Kitchenette or cupboard<br />_ Bathroom with bath or shower<br />_ Bathroom without bath or shower</div><br /></svar></p> <p><svar v="HU01A032 HU01A033 HU01A034 HU01A035 HU01A036">7. A room is considered as a place bigger than 4 square meters with door and window, and used for daily residence or sleeping. Consulting rooms, offices, workshops, etc., as well as a hall and a dining-room with a window are also considered as rooms. Places joining rooms through a hatch without door (e.g. alcove, dining-box) must not be considered as a separate room, it should be counted in together with a room or kitchen instead.<br /></svar> <svar v="HU01A032 HU01A033 HU01A034 HU01A035 HU01A036" a="all"><span class="em">Question 7: Number of rooms</span><br /><br />The total number of the premises -- in cases of rooms, kitchens, kitchenettes taking into account their total floor-space too -- of the dwelling (holiday house, other housing unit) should be marked in the printed boxes. While defining the total floor-space of the premises also the floor-space occupied by the built-in furniture and the adjoining parts of the dwelling -- like alcove, cubicle, and dining area -- should be taken into account. The common spaces serving different functions (e.g. cooking area and living room in common space) should be divided by the designations and should be enumerated as separate premises. In cases mansard premises, only the floor-space of the parts less than 1, 90 cm high should not be counted into the total.<br /><br />Rooms are premises provided with direct natural light and ventilation (with doors, windows), with a floor space of at least 4 square meters, serving for sleeping or staying during the day (bedroom, children's room, dining-room etc.). The hall and the eating-place having also a window, as well as the premises of room-like character used as consultation rooms, waiting rooms, offices etc. also figure among the rooms.<br /><br />Kitchens are spaces established and used for cooking (maybe, also for eating), of a floor space of at least 4 square meters, in general provided with direct, natural light and ventilation (with window, door). When assigning the rooms and premises for cooking by floor space, the floor space of the adjoining alcove or eating place was included into that of the respective room or kitchen.<br /><br />Kitchenettes are premises of a floor space under 4 square meters, built and used for cooking. (To this group belong also tea-kitchenettes and cooking cupboards.).<br /><br />If the dwelling itself does not have a kitchen or kitchenette but there is a summer kitchen which is used by the inhabitants of the main building as a kitchen it should be regarded as a kitchen. If the separate building where the kitchen was has several premises only the one used as a kitchen must be taken into account.<br /></svar> Hungary 2001: Non-collective dwellings [discrepancies: none] This variable indicates the number of bathrooms with fixed bath or shower. 0 None 1 1 2 2 3 3 4 4 or more 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of bathrooms with no fixed bath or shower <svar v="HU01A032 HU01A033 HU01A034 HU01A035 HU01A036" a="all">7. Number of Rooms<br /><div class="i1">_ _ Over 12 square meters<br />_ Between 4 and 12 square meters<br />_ Kitchen (4 square meters or bigger)<br />_ Kitchenette or cupboard<br />_ Bathroom with bath or shower<br />_ Bathroom without bath or shower</div><br /></svar></p> <p><svar v="HU01A032 HU01A033 HU01A034 HU01A035 HU01A036">7. A room is considered as a place bigger than 4 square meters with door and window, and used for daily residence or sleeping. Consulting rooms, offices, workshops, etc., as well as a hall and a dining-room with a window are also considered as rooms. Places joining rooms through a hatch without door (e.g. alcove, dining-box) must not be considered as a separate room, it should be counted in together with a room or kitchen instead.<br /></svar> <svar v="HU01A032 HU01A033 HU01A034 HU01A035 HU01A036" a="all"><span class="em">Question 7: Number of rooms</span><br /><br />The total number of the premises -- in cases of rooms, kitchens, kitchenettes taking into account their total floor-space too -- of the dwelling (holiday house, other housing unit) should be marked in the printed boxes. While defining the total floor-space of the premises also the floor-space occupied by the built-in furniture and the adjoining parts of the dwelling -- like alcove, cubicle, and dining area -- should be taken into account. The common spaces serving different functions (e.g. cooking area and living room in common space) should be divided by the designations and should be enumerated as separate premises. In cases mansard premises, only the floor-space of the parts less than 1, 90 cm high should not be counted into the total.<br /><br />Rooms are premises provided with direct natural light and ventilation (with doors, windows), with a floor space of at least 4 square meters, serving for sleeping or staying during the day (bedroom, children's room, dining-room etc.). The hall and the eating-place having also a window, as well as the premises of room-like character used as consultation rooms, waiting rooms, offices etc. also figure among the rooms.<br /><br />Kitchens are spaces established and used for cooking (maybe, also for eating), of a floor space of at least 4 square meters, in general provided with direct, natural light and ventilation (with window, door). When assigning the rooms and premises for cooking by floor space, the floor space of the adjoining alcove or eating place was included into that of the respective room or kitchen.<br /><br />Kitchenettes are premises of a floor space under 4 square meters, built and used for cooking. (To this group belong also tea-kitchenettes and cooking cupboards.).<br /><br />If the dwelling itself does not have a kitchen or kitchenette but there is a summer kitchen which is used by the inhabitants of the main building as a kitchen it should be regarded as a kitchen. If the separate building where the kitchen was has several premises only the one used as a kitchen must be taken into account.<br /></svar> Hungary 2001: Non-collective dwellings [discrepancies: none] This variable indicates the number of bathrooms with no fixed bath or shower. 0 None 1 1 2 2 3 3 or more 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Floorspace: rooms (square meters) <svar v="HU01A037 HU01A038" a="all">8. Floor spaces<br /><br /><div class="i1">8.1 Total floor-space of living-rooms (in square meters) _ _ _<br /><br />8.2 Total floor-space of the dwelling (in square meters) _ _ _</div><br /></svar> <svar v="HU01A037" a="all"><span class="em">Question 8.1 Total floor-space of living-rooms?</span><br /><br />The total floor-space of the rooms recorded in question 7 should be entered, in square meters and rounded to whole number<br /></svar>. Hungary 2001: Non-collective dwellings [discrepancies: none] This variable indicates the rooms' floor space in square meters. 000 NIU (not in universe) 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 99 100 100 101 101 102 102 103 103 104 104 105 105 106 106 107 107 108 108 109 109 110 110 111 111 112 112 113 113 114 114 115 115 116 116 117 117 118 118 119 119 120 120 121 121 122 122 123 123 124 124 125 125 126 126 127 127 128 128 129 129 130 130 131 131 132 132 134 134 135 135 136 136 137 137 138 138 139 139 140 140 141 141 142 142 143 143 144 144 145 145 146 146 147 147 148 148 150 150 152 152 153 153 154 154 155 155 156 156 157 157 158 158 160 160 162 162 164 164 165 165 167 167 170 170 174 174 175 175 176 176 180 180 181 181 182 182 184 184 185 185 186 186 187 187 189 189 190 190 192 192 193 193 194 194 195 195 200 200 202 202 210 210 213 213 220 220 222 222 224 224 230 230 232 232 233 233 240 240 248 248 250 250+ Dwelling Characteristics Variables -- HOUSEHOLD Water supply <svar v="HU01A039" a="all">9. Water supply of the dwelling<br /><br /><div class="i1">With piped water:</div><br /><div class="i2">[] 1 Inside the dwelling<br />[] 2 Inside the building<br />[] 3 From the building site<br />[] 4 From outside the building site<br />[] 5 From own pipeline inside the dwelling</div><br /><div class="i1">In another way:</div><br /><div class="i2">[] 6 From a well on the building site<br />[] 7 From elsewhere</div><br /></svar> <svar v="HU01A039" a="all"><span class="em">Question 9: Water supply of dwelling?</span><br /><br /> A dwelling supplied with piped water from community scheme is one in which water supply is obtained through a tap connected to a community water-conduit. The answer should indicate whether the tap is:<br /><div class="i1">in the dwelling,<br />in the building,<br />on the parcel of the house,<br />outside the parcel of the house.</div><br />A dwelling is supplied with piped water from a private source if the water pipe leads the water of the well, which is generally on the ground-plot, courtyard belonging to the building, to the tap in the dwelling.<br /><br />The dwelling is supplied from a well on its parcel if there is no tap water in the building but there a (dig or drilled) well or a cistern in the yard supplies the water.<br /><br />If a dwelling is supplied with water from several sources the most convenient should be marked!<br /></svar> Hungary 2001: Non-collective dwellings [discrepancies: none] This variable indicates the type of water supply network. 0 NIU (not in universe) 1 Community network: within dwelling 2 Community network: outside dwelling, but within building 3 Community network: on the groundplot of the building 4 Community network: outside the groundplot of the building 5 Domestic water system, within dwelling 6 From the well on the groundplot 7 From other place Utilities Variables -- HOUSEHOLD Hot water <svar v="HU01A040" a="all">10. Hot running water supply of the dwelling<br /><div class="i1">[] 1 From pipeline<br />[] 2 From a boiler serving more dwellings in the building<br />[] 3 From own boiler<br />[] 4 From a traditional bathroom stove<br />[] 5 From a kitchen water heater<br />[] 6 In another way<br />[] 0 No hot running water</div><br /></svar> <svar v="HU01A040" a="all"><span class="em">Question 10: Hot running water supply of dwelling?</span><br /><br />The answer is "Appliance supplying one dwelling" if the hot water is supplied by a water heater which is also used for heating the dwelling or by a separate water heater boiling the water by gas or electric energy. If the dwelling is supplied with warm water from several sources, devices the one used for lustration should be marked.<br /><br />The answer "only water heater in the kitchen" can be marked only if this is the only possibility for getting the hot water.<br /></svar> Hungary 2001: Non-collective dwellings [discrepancies: none] This variable indicates the source of hot water. 0 None 1 From community scheme 2 From central boiler for several dwellings 3 From central boiler for one dwelling 4 From traditional bath stove 5 Kitchen water heater only 6 Other 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Gas <svar v="HU01A041" a="all">11. Type of gas used<br /><div class="i1">[] 1 Piped gas<br />[] 2 PB-gas from container<br />[] 3 PB-gas from cylinder<br />[] 0 No gas is used</div><br /></svar></p> <p><svar v="HU01A041">11. The response is PB-gas from container if a system serves one or more dwellings or houses through a local pipeline by using this container.<br /></svar> <svar v="HU01A041" a="all"><span class="em">Question 11: Type of gas used?</span><br /><br />Piped gas is the answer if the dwelling is connected to the community gas network even if they do not use the gas neither for heating nor for cooking.<br /><br />The dwelling where the gas is supplied from a jumbo gas-bag installed on the parcel of the house must not be regarded as supplied with piped gas. These dwellings will be classified as using bottle-gas.<br /><br />Dwelling supplied with bottle gas is the dwelling where the energy is supplied by butane gas filled into gas-cylinders.<br /><br />If there are alternative sources for gas supply, the one listed the first should be underlined.<br /><div class="i1">E.g. if the dwelling is connected to the community gas network and at the same time the inhabitants are using bottle gas as well the correct marking is "piped gas".</div><br /></svar> Hungary 2001: Non-collective dwellings [discrepancies: none] This variable indicates the source of gas used in the dwelling for heating, cooking or other purposes. 0 None 1 Network (piped) gas 2 From container 3 Cylinder (bottle) gas 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Heating <svar v="HU01A042" a="all">12. Heating<br /><div class="i1">[] 1 District (block) heating or with thermal water (skip to 14)<br />[] 0 No heating (skip to 14)<br />[] 2 A boiler heats several dwellings<br />[] 3 Central boiler heats one dwelling<br />[] 4 Individual (separately for each)</div><br /></svar></p> <p><svar v="HU01A042">12. The heating is individual if the places of the dwelling are heated separately by oven, gas-heater, etc.<br /></svar> <svar v="HU01A042" a="all"><span class="em">Question 12: Heating?</span><br /><br />District-, block heating: dwellings of several buildings receive the heat necessary for heating from a thermal station, heating works or from a natural thermal spring<br /><br />District-, block heating dwellings of several buildings get the heat necessary for heating from a thermal station, heating works or from a natural thermal spring. Question 13 should be skipped if the answer is "District-, block or thermal water heating".<br /><br />Separate boiler heating of the building (i.e. for several dwellings): the dwellings of the building receive the heat from a boiler which is situated in the building or is in connection with the building.<br /><br />Separate central heating for one dwelling: the supply of heat for the premises of one dwelling (one floor) or only of a building with one dwelling (detached family house) from one heating place.<br /><br />Separate heating of premises means the heating of the places of the dwelling by stoves, convectors etc.<br /><br />If alternative heating is in the dwelling the one used fro the rooms should be marked. The type of heating is coded as "Separate heating of premises" if the rooms of the dwelling are heated by different appliances (one of the rooms is heated with an electric heater, the other with an oven while the third with an electric heater).<br /><br />If no heating in the dwelling is available question 13 should be skipped.<br /><br /><span class="em">Question 13: Energy used for heating?</span><br /><br />The answer is other if the energy used for the heating is natural energy e.g. solar energy, geothermic energy (with the exemption of thermal water).<br /><br />If alternative/several types of heating material are used the one used for heating the rooms should be underlined. If in doubt the mostly used material should be marked.<br /></svar> Hungary 2001: Non-collective dwellings [discrepancies: none] This variable indicates the type of heating used in the dwelling. 0 No possibility of heating 1 District (block, thermic water) heating 2 Central boiler for several dwellings 3 Central boiler for one dwelling 4 Individual (separate) heating of places 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Flush toilet <svar v="HU01A043" a="all">14. Flushing Toilet<br /><div class="i1">[] 1 In a separate room of the dwelling<br />[] 2 In a (shared) room of the dwelling<br />[] 3 Outside the dwelling<br />[] 0 No flushing toilet</div><br /></svar> <svar v="HU01A043" a="all"><span class="em">Question 14: Flush toilet?</span><br /><br />The answer is "yes, in a separate premises of the dwelling" if the flush toilet is in a separate premises within the dwelling.<br /><br />The answer is "yes, in other premises of the dwelling": if the flush toilet is not in independent premises but in a space used for other purposes too (e.g. in the bathroom). The precondition of the acceptance of the answer is the availability of the communal or domestic tap water in the dwelling and a direct access of the waste water to a sewage disposal.<br /><br />The answer is "yes, outside the dwelling": if the flush toilet is used by the members of several families living in the building. These flush toilets are usually available by levels of the residential buildings.<br /></svar> Hungary 2001: Non-collective dwellings [discrepancies: none] This variable indicates the availability of a flush toilet. 0 None 1 Yes: within dwelling, in separate place 2 Yes: in another place of the dwelling 3 Yes:outside dwelling 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Sewage disposal <svar v="HU01A044" a="all">15. Sewage disposal from dwelling<br /><div class="i1">[] 1 Into a public sewer<br />[] 2 Into a closed reservoir via own sewer<br />[] 3 Into a cesspit via own sewer<br />[] 4 To other place via own sewer<br />[] 0 No sewage disposal</div><br /></svar> <svar v="HU01A044" a="all"><span class="em">Question 15: Sewage disposal from dwelling?</span><br /><br />A dwelling is supplied with sewage connected to community sewage disposal plant if it is connected to the sewage system of public utility, respectively, of public utility type.<br /><br />A dwelling is supplied with sewage connected to private sewage disposal plant if the wastewater is led through an underground drainpipe to a closed sewage storage tank a desiccators (drain tank) on the ground plot of the building or to some other place.<br /></svar> Hungary 2001: Non-collective dwellings [discrepancies: none] This variable indicates the type of sewage disposal system. 0 None 1 Into community scheme 2 Into domestic system: closed sewage tank 3 Into domestic system: dessicator (drain tank) 4 Into domestic system: other 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Level of comfort Hungary 2001: Non-collective dwellings [discrepancies: none] This variable indicates the amenities (conveniences) available in the dwelling. 1 Occupied other housing unit 2 Dwelling, holiday housing unit: with all modern conveniences (amenities) 3 Dwelling, holiday housing unit: with principal conveniences 4 Dwelling, holiday housing unit: half-comfort (part of conveniences) 5 Dwelling, holiday housing unit: without comfort 6 Emergency or other accommodation 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Occupancy status of the dwelling <svar v="HU01A046 HU01A404" a="all">Status of occupancy in the dwelling (JC)<br /><div class="i1">[] 1 Owner<br />[] 2 Relative of the owner<br />[] 3 Tenant, head tenant, cotenant<br />[] 4 Relative of the tenant, head tenant, cotenant<br />[] 5 Occupant of official quarters<br />[] 6 Roomer<br />[] 7 Night-lodger<br />[] 8 Occupant of institution<br />[] 9 Homeless without address<br />[] 0 Other</div><br /></svar> <svar v=" HU01A046 HU01A404" a="all"><span class="em">Status of occupancy in the dwelling?</span><br /><br />The answer "owner" is marked if the enumerated person is sole or joint owner of the dwelling. Beneficiary user should be regarded as owner. One dwelling might be owned by several persons.<br /><br />The answer is "relative of the owner" (e.g. his/her spouse, consensual partner, child, parent) if the persons is a relative of the owner of the dwelling, even if they do not live together. The "relative of the owner" can be marked only if the use of the dwelling is free of charge.<br /><br />If the owner of the dwelling is not a natural person the title "owner" or "relative of the owner" must not be marked. (See the answer at question 6.1 "Data on the housing unit" on the Dwelling questionnaire).<br /><br />The answer "tenant, co-tenant" will be marked if he/she is using the dwelling alone or with some other people upon paying a rental fee and the use of the dwelling is not connected to a working or service contract. (Co-tenants are using a part of the dwelling exclusively, while some premises -- e.g. the kitchen, the bathroom -- is used jointly wit an other co-tenant.<br /><br />The answer "relative of tenant, co-tenant" is marked if the persons is not the tenant, co-tenant of the dwelling but is a relative of the former person (e.g. spouse, consensual partner, child, parent, and sibling).<br /><br />The answer is "user of service dwelling" if the use of dwelling is connected to a working or service contract. The dwelling might be supplied free of charge or for a rental fee too.<br /><br />The answer is "subtenant" if the person has an exclusive right for using at least one premises of the dwelling for paying a rental fee to the tenant of the dwelling. If the rental contract ensures the exclusive use of the whole dwelling the answer "tenant, co-tenant" should be marked.<br /><br />The answer is night-lodger if the person does not use any of the premises of the dwelling with an exclusive right; he/she only rents a bed for a fee. The answer could be underlined if the dwelling is occupied by the owner, his/her relative, the tenant, co-tenant, and relative of the tenant, cotenant, or user of service dwelling.<br /><br />The answer is institutional inhabitant if the person lives in a dwelling offered by an institution, and he/she is making use of the services -- lodging and full-board -- of the institution.<br /><br />The answer is homeless without address if the person at the date of the enumeration lives/stays in the staircase, doorway, etc., he/she is staying in a place which can not be connected to premises (like dwelling, holiday house, other housing unit or institutional household)..<br /><br />The answer is other title if the person's title of use of dwelling can not be classified as above.<br /></svar> Hungary 2001: Non-collective dwellings [discrepancies: none] This variable indicates the occupancy status of the dwelling. 1 Vacant 2 Owner's 3 Tenant's 4 Service 5 Other rights of use 9 NIU (not in universe) Household Economic 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 Consensual union CONSENS indicates whether the respondent was in a consensual union -- a de facto marriage. 1 Yes, in consensual union 2 No, married 8 Unknown 9 NIU (not in universe) Demographic Variables -- PERSON Number of marriages or unions MARRNUM records the number of marital unions the respondent has ever been in. 0 NIU (not in universe) 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8+ 9 Unknown 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 Citizenship CITIZEN indicates the person's citizenship status within the country in which they were enumerated. 1 Citizen, not specified 2 Citizen by birth 3 Naturalized citizen 4 Not a citizen 5 Without citizenship, stateless 8 Unknown 9 NIU (not in universe) Nativity and Birthplace Variables -- PERSON 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 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 Activity status (employment status) [general version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 0 NIU (not in universe) 1 Employed 2 Unemployed 3 Inactive 9 Unknown/missing Work Variables -- PERSON Activity status (employment status) [detailed version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 000 NIU (not in universe) 100 Employed, not specified 110 At work 111 At work, and 'student' 112 At work, and 'housework' 113 At work, and 'seeking work' 114 At work, and 'retired' 115 At work, and 'no work' 116 At work, and other situation 117 At work, family holding, not specified 118 At work, family holding, not agricultural 119 At work, family holding, agricultural 120 Have job, not at work in reference period 130 Armed forces 131 Armed forces, at work 132 Armed forces, not at work in reference period 133 Military trainee 140 Marginally employed 200 Unemployed, not specified 201 Unemployed 6 or more months 202 Worked fewer than 6 months, permanent job 203 Worked fewer than 6 months, temporary job 210 Unemployed, experienced worker 220 Unemployed, new worker 230 No work available 240 Inactive unemployed 300 Inactive (not in labor force) 301 Unavailable jobseekers 302 Available potential jobseekers 310 Housework 320 Health reasons, unable to work, or disabled 321 Permanent disability 322 Temporary illness 323 Disabled or imprisoned 330 In school 340 Retirees and living on rent 341 Living on rents 342 Living on rents or pension 343 Retirees/pensioners 344 Retired 345 Pensioner 346 Non-retirement pension 347 Disability pension 348 Retired without benefits 350 Elderly 351 Elderly or disabled 360 Institutionalized 361 Prisoner 370 Intermittent worker 371 Not working, seasonal worker 372 Not working, occasional worker 380 Other income recipient 390 Inactive, other reasons 391 Too young to work 392 Dependent 999 Unknown/missing Work Variables -- PERSON Activity status (employment status), Europe EEMPSTAT indicates for the European samples whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EEMPSTAT can also convey further information. EEMPSTAT has been classified according to the recommendations given by the Conference of European Statisticians for the 2010 Population and Housing Censuses. "Employment Status" is referred to as "Activity Status" in the CES recommendations, but the former term is used to maintain consistency with IPUMS practices. The economically active population constitutes the total labor force: employed and unemployed persons. 000 NIU (not in universe) 110 Employed 120 Unemployed 121 Unemployed, never worked before 200 Not economically active, unspecified 210 Students 220 Pension or capital income recipients 230 Homemakers 240 Others 999 Unknown / missing Work Variables -- PERSON Labor force participation LABFORCE is a dichotomous variable identifying whether a person participated in the labor force. Labor force participation generally means working or seeking work within a specified reference period. For most samples LABFORCE is a recode of EMPSTAT (employment status). A consistent lower age universe of 15 or older has been applied to increase comparability across samples. Full detail is retained in EMPSTAT, which should be used for any study of child labor. 1 No, not in the labor force 2 Yes, in the labor force 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON 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 Industry, general recode INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples. "Industry" refers to the activity or product of the establishment or sector in which a person worked. 000 NIU (not in universe) 010 Agriculture, fishing, and forestry 020 Mining and extraction 030 Manufacturing 040 Electricity, gas, water and waste management 050 Construction 060 Wholesale and retail trade 070 Hotels and restaurants 080 Transportation, storage, and communications 090 Financial services and insurance 100 Public administration and defense 110 Services, not specified 111 Business services and real estate 112 Education 113 Health and social work 114 Other services 120 Private household services 130 Other industry, n.e.c. 998 Response suppressed 999 Unknown Work Variables -- PERSON Industry, unrecoded "Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International. IND is a 5-digit numeric variable. Some samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Argentina 1970 - see Variable: AR1970A_IND4 - Industry [4 digit] Argentina 1980 - see Variable: AR1980A_IND - Industry Argentina 1991 - see Variable: AR1991A_IND - Industry Argentina 2001 - see Variable: AR2001A_IND - Industry Armenia 2001 - see Variable: AM2001A_IND - Principal activity at place of work Armenia 2011 - see Variable: AM2011A_IND - Industry Austria 1971 - see Variable: AT1971A_INDBR - Economic activity of supporter: branch Austria 1981 - see Variable: AT1981A_INDBR - Economic activity of supporter: branch Austria 1991 - see Variable: AT1991A_INDBR - Economic activity of supporter: branch Austria 2001 - see Variable: AT2001A_INDBR - Economic activity of supporter: branch Austria 2011 - see Variable: AT2011A_IND - Industry Bangladesh 1991 - see Variable: BD1991A_IND - Industry Bangladesh 2001 - see Variable: BD2001A_IND - Main work field Bangladesh 2011 - see Variable: BD2011A_IND - Industry Belarus 2009 - see Variable: BY2009A_ECONACT - Industry Benin 1979 - see Variable: BJ1979A_IND - Industry (1-digit) Benin 1992 - see Variable: BJ1992A_IND3 - Industry (2-digits) Benin 2002 - see Variable: BJ2002A_IND2 - Industry (2-digits) Benin 2013 - see Variable: BJ2013A_IND3 - Industry (3-digit) Bolivia 1976 - see Variable: BO1976A_IND - Industry Bolivia 1992 - see Variable: BO1992A_IND3 - Activity, 3 digits Bolivia 2001 - see Variable: BO2001A_IND3 - Industry, 3 digits Bolivia 2012 - see Variable: BO2012A_IND2 - Industry (2 digit) Botswana 1981 - see Variable: BW1981A_IND - Industry Botswana 1991 - see Variable: BW1991A_IND - Industry Botswana 2001 - see Variable: BW2001A_IND - Industry Botswana 2011 - see Variable: BW2011A_IND - Industry, 3-digits Brazil 1960 - see Variable: BR1960A_INDUSTRY - Industry Brazil 1970 - see Variable: BR1970A_INDUSTRY - Industry Brazil 1980 - see Variable: BR1980A_INDUSTRY - Industry Brazil 1991 - see Variable: BR1991A_IND - Industry Brazil 2000 - see Variable: BR2000A_IND - Industry, 5 digits Brazil 2010 - see Variable: BR2010A_IND - Industry of work from July 25 to July 31, 2010 Burkina Faso 1996 - see Variable: BF1996A_IND - Branch of activity Cambodia 1998 - see Variable: KH1998A_IND - Industry Cambodia 2004 - see Variable: KH2004A_IND3 - Industry (3-digits) Cambodia 2008 - see Variable: KH2008A_IND - Industry Cambodia 2013 - see Variable: KH2013A_IND - Industry (3-digits) Cambodia 2019 - see Variable: KH2019A_IND3 - Industy (ISIC rev 4, 3-digit) Cameroon 2005 - see Variable: CM2005A_IND - Industry Canada 1971 - see Variable: CA1971A_IND - Industry Canada 1981 - see Variable: CA1981A_IND - Industry (1981 standard industrial classification) Canada 1991 - see Variable: CA1991A_IND80 - Industry (1980 standard industrial classification) Canada 2001 - see Variable: CA2001A_IND80P - Industry (1980 Standard Industrial Classification) Canada 2011 - see Variable: CA2011A_IND - Industry Chile 1960 - see Variable: CL1960A_IND - Industry Chile 1970 - see Variable: CL1970A_IND4 - Industry (4-digit) Chile 1982 - see Variable: CL1982A_IND4 - Industry (4-digit) Chile 1992 - see Variable: CL1992A_IND - Industry Chile 2002 - see Variable: CL2002A_IND - Industry Chile 2017 - see Variable: CL2017A_IND - Industry (1-digit) China 1982 - see Variable: CN1982A_INDUSTRY - Industry China 1990 - see Variable: CN1990A_IND - Industry China 2000 - see Variable: CN2000A_IND - Industry (2-digit) Colombia 1964 - see Variable: CO1964A_IND4 - Industry, 4 digits Colombia 1973 - see Variable: CO1973A_IND - Industry Colombia 1993 - see Variable: CO1993A_IND - Industry Colombia 2005 - see Variable: CO2005A_IND - Industry (2-digit) Costa Rica 1963 - see Variable: CR1963A_IND3 - Industry, 3 digits Costa Rica 1973 - see Variable: CR1973A_IND4 - Industry, 4 digits Costa Rica 1984 - see Variable: CR1984A_IND4 - Industry, 4 digits Costa Rica 2000 - see Variable: CR2000A_IND3 - Industry, 3 digits Costa Rica 2011 - see Variable: CR2011A_IND - Industry 2-digit Cuba 2002 - see Variable: CU2002A_IND - Industry Cuba 2012 - see Variable: CU2012A_IND - Industry Côte d'Ivoire 1988 - see Variable: CI1988A_IND - Industry (1-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_IND2 - Industry sector (detailed) Dominican Republic 1960 - see Variable: DO1960A_IND - Industry Dominican Republic 1970 - see Variable: DO1970A_IND1 - Industry, 3 digits Dominican Republic 1981 - see Variable: DO1981A_IND - Industry (3-digit) Dominican Republic 2002 - see Variable: DO2002A_IND - Industry Dominican Republic 2010 - see Variable: DO2010A_IND - Main activity of business Ecuador 1962 - see Variable: EC1962A_IND3 - Industry, 3 digits Ecuador 1982 - see Variable: EC1982A_IND3 - Industry Ecuador 1990 - see Variable: EC1990A_IND3 - Industry, 3 digits Ecuador 2001 - see Variable: EC2001A_IND - Industry, 3 digits Ecuador 2010 - see Variable: EC2010A_IND3 - Industry (3 digits, ISIC rev 4) Egypt 1986 - see Variable: EG1986A_IND3 - Industry (3-digit) Egypt 1996 - see Variable: EG1996A_IND3 - Industry (ISIC) Egypt 2006 - see Variable: EG2006A_IND - Industry, 3-digit El Salvador 1992 - see Variable: SV1992A_IND - Industry (3-digit) El Salvador 2007 - see Variable: SV2007A_IND3DIG - Industry (3-digit) Ethiopia 1984 - see Variable: ET1984A_IND2 - Industry Ethiopia 1994 - see Variable: ET1994A_IND - Industry Fiji 1966 - see Variable: FJ1966A_IND - Industry Fiji 1976 - see Variable: FJ1976A_IND - Industry Fiji 1986 - see Variable: FJ1986A_IND - Industry 3 digits Fiji 1996 - see Variable: FJ1996A_IND2DIG - Industry (2 digits) Fiji 2007 - see Variable: FJ2007A_IND2 - Industry, 2 digits Fiji 2014 - see Variable: FJ2014A_IND - Industry Finland 2010 - see Variable: FI2010A_IND - Industry France 1962 - see Variable: FR1962A_IND - Industry France 1968 - see Variable: FR1968A_IND41 - Industry, 41 categories France 1975 - see Variable: FR1975A_INDUN - Industry, UNO France 1982 - see Variable: FR1982A_INDUN - Industry, United Nations nomenclature France 1990 - see Variable: FR1990A_IND15 - Industry, 15 categories France 1999 - see Variable: FR1999A_INDCITI - Industry, ISIC France 2006 - see Variable: FR2006A_IND700N - Economic activity in 700 categories (2003 classification) numeric recode France 2011 - see Variable: FR2011A_IND - Industry, 732 categories Germany 1970 - see Variable: DE1970A_IND - Industry Germany 1971 - see Variable: DE1971A_IND - Industry Germany 1981 - see Variable: DE1981A_IND - Industry Germany 1987 - see Variable: DE1987A_IND - Industry Ghana 2000 - see Variable: GH2000A_IND - Industry Ghana 2010 - see Variable: GH2010A_IND - Industry (major groups) Greece 1971 - see Variable: GR1971A_IND - Industry Greece 1981 - see Variable: GR1981A_IND - Industry Greece 1991 - see Variable: GR1991A_IND - Industry Greece 2001 - see Variable: GR2001A_IND - Industry Greece 2011 - see Variable: GR2011A_IND - Industry Guatemala 1964 - see Variable: GT1964A_IND3 - Field of economic activity (3-digits) Guatemala 1973 - see Variable: GT1973A_IND3 - Industry (3-digits) Guatemala 1981 - see Variable: GT1981A_IND3 - Industry (3-digits) Guatemala 1994 - see Variable: GT1994A_IND2 - Field of economic activity (2-digits) Guatemala 2002 - see Variable: GT2002A_IND1 - Field of economic activity (1-digit) Guinea 1983 - see Variable: GN1983A_IND2 - Branch of economic activity, 2 digits Guinea 2014 - see Variable: GN2014A_IND - Industry (3-digit) Haiti 1982 - see Variable: HT1982A_IND - Branch of work Haiti 2003 - see Variable: HT2003A_IND2 - Industry, 3 digits Honduras 1961 - see Variable: HN1961A_IND - Industry (2-digits) Honduras 1974 - see Variable: HN1974A_IND - Industry (3-digits) Honduras 2001 - see Variable: HN2001A_IND - Industry (4-digit) Honduras 2013 - see Variable: HN2013A_IND3 - Economic activity (3-digit) Hungary 2001 - see Variable: HU2001A_IND - Industry, branch of economy Hungary 2011 - see Variable: HU2011A_IND - Industry Indonesia 1971 - see Variable: ID1971A_IND - Industry Indonesia 1976 - see Variable: ID1976A_IND - Industry Indonesia 1980 - see Variable: ID1980A_IND - Industry Indonesia 1985 - see Variable: ID1985A_IND - Industry of primary occupation Indonesia 1990 - see Variable: ID1990A_IND - Industry of main occupation last week Indonesia 1995 - see Variable: ID1995A_IND - Industry Indonesia 2000 - see Variable: ID2000A_IND - Industry of primary occupation Indonesia 2005 - see Variable: ID2005A_IND - Industry Indonesia 2010 - see Variable: ID2010A_IND - Industry Iran 2006 - see Variable: IR2006A_IND4 - Industry Iran 2011 - see Variable: IR2011A_IND - Industry (3-digit) Iraq 1997 - see Variable: IQ1997A_IND - Industry Ireland 1971 - see Variable: IE1971A_IND - Industry Ireland 1981 - see Variable: IE1981A_IND - Industry class Ireland 1986 - see Variable: IE1986A_IND - Industry class Ireland 1991 - see Variable: IE1991A_IND - Industry class Ireland 1996 - see Variable: IE1996A_IND - Industry class Ireland 2002 - see Variable: IE2002A_IND - Industry class Ireland 2006 - see Variable: IE2006A_IND - Industry class Ireland 2011 - see Variable: IE2011A_IND - Industry Ireland 2016 - see Variable: IE2016A_IND - Industry Israel 1972 - see Variable: IL1972A_IND - Industry Israel 1983 - see Variable: IL1983A_IND - Industry Israel 1995 - see Variable: IL1995A_IND - Industry Israel 2008 - see Variable: IL2008A_IND - Branch of economy Italy 2001 - see Variable: IT2001A_IND - Industry Italy 2011 - see Variable: IT2011A_IND - Sector of economic activity Jamaica 1982 - see Variable: JM1982A_IND - Industry or type of business during past week / in last job Jamaica 1991 - see Variable: JM1991A_IND3 - Industry during past week or in last job, 3 digits Jamaica 2001 - see Variable: JM2001A_IND3 - Industry 3-digit Jordan 2004 - see Variable: JO2004A_IND - Major current economic activity of the establishment Kenya 2019 - see Variable: KE2019A_IND1 - Industry, ISIC section Kyrgyzstan 1999 - see Variable: KG1999A_IND - Activity type of an enterprise you are working in Kyrgyzstan 2009 - see Variable: KG2009A_IND - Type of industry, enterprise or organization Laos 1995 - see Variable: LA1995A_IND2 - Main industry in the last 12 months (2-digit) Laos 2005 - see Variable: LA2005A_IND3 - Industry (ISIC 3-digit) Laos 2015 - see Variable: LA2015A_IND2 - Industry (2-digit ISIC Rev. 4) Lesotho 2006 - see Variable: LS2006A_IND - Industry (2-digits) Liberia 1974 - see Variable: LR1974A_IND - Industry (3-digit) Liberia 2008 - see Variable: LR2008A_IND - Industry Malawi 1987 - see Variable: MW1987A_IND2 - Industry, 2 digit Malawi 1998 - see Variable: MW1998A_IND4 - Industry, 4-digit Malawi 2008 - see Variable: MW2008A_IND2 - Main industry Malawi 2018 - see Variable: MW2018A_IND3 - Main industry (ISIC 2008 3-digit) Malaysia 1970 - see Variable: MY1970A_IND3 - Industry last week Malaysia 1980 - see Variable: MY1980A_IND3 - Industry last week (3 digits) Malaysia 1991 - see Variable: MY1991A_IND3 - Main industry (3 digits) Malaysia 2000 - see Variable: MY2000A_IND3 - Main industry - 3 digits Mali 1987 - see Variable: ML1987A_IND - Principal branch of employment last month Mali 1998 - see Variable: ML1998A_IND - Branch of economic activity Mali 2009 - see Variable: ML2009A_IND - Industry Mauritius 1990 - see Variable: MU1990A_IND - Industry (1-digit) Mauritius 2000 - see Variable: MU2000A_IND1 - Industry (1 digit) Mauritius 2011 - see Variable: MU2011A_IND2 - Industry (2-digit) Mexico 1960 - see Variable: MX1960A_IND - Industry Mexico 1970 - see Variable: MX1970A_IND - Industry Mexico 1990 - see Variable: MX1990A_IND5 - Industry, 5 digits Mexico 1995 - see Variable: MX1995A_IND - Industry Mexico 2000 - see Variable: MX2000A_IND3 - Industry, 3 digits Mexico 2010 - see Variable: MX2010A_IND - Industry Mexico 2015 - see Variable: MX2015A_IND - Industry Mexico 2020 - see Variable: MX2020A_IND - Industry (4-digits) Mongolia 2000 - see Variable: MN2000A_IND - Industry Mongolia 2010 - see Variable: MN2010A_IND2 - Industry, division (ISIC Revision 4) Mongolia 2020 - see Variable: MN2020A_IND3 - Main industry (3-digit) Morocco 1982 - see Variable: MA1982A_IND3 - Industry (3-digit) Morocco 1994 - see Variable: MA1994A_IND2 - Industry (2 digits) Morocco 2004 - see Variable: MA2004A_IND2 - Sector of economic activity (2-digit) Morocco 2014 - see Variable: MA2014A_IND2 - Industry (2-digit) Mozambique 1997 - see Variable: MZ1997A_IND1 - Industry Mozambique 2007 - see Variable: MZ2007A_IND - Industry Mozambique 2017 - see Variable: MZ2017A_IND2 - Main economic activity (2-digits CAE Rev.2) Myanmar 2014 - see Variable: MM2014A_IND - Industry Nepal 2001 - see Variable: NP2001A_IND - Usual industry Nepal 2011 - see Variable: NP2011A_IND - Industry (2-digit) Netherlands 1960 - see Variable: NL1960A_IND - Industry Netherlands 1971 - see Variable: NL1971A_IND - Industry Netherlands 2001 - see Variable: NL2001A_IND - Industry Netherlands 2011 - see Variable: NL2011A_IND - Industry (1-digit) Nicaragua 1971 - see Variable: NI1971A_IND3 - Industry (ISIC2), 3 digits Nicaragua 1995 - see Variable: NI1995A_IND - Industry (ISIC 3.1, 3 digits) Nicaragua 2005 - see Variable: NI2005A_IND3 - Industry (ISIC 3.1, 3 digits)) Pakistan 1973 - see Variable: PK1973A_IND2 - Industry, 2 digit Palestine 1997 - see Variable: PS1997A_IND - Industry Palestine 2007 - see Variable: PS2007A_IND - Industry Palestine 2017 - see Variable: PS2017A_IND - Industry Panama 1960 - see Variable: PA1960A_IND3 - Industry (3 digit) Panama 1970 - see Variable: PA1970A_IND3 - Industry [3 digit] Panama 1980 - see Variable: PA1980A_IND - Industry, 3-digit Panama 1990 - see Variable: PA1990A_IND3 - Industry - 3 Digits Panama 2000 - see Variable: PA2000A_IND - Economic activity, 3 digits Panama 2010 - see Variable: PA2010A_IND - Economic activity, 4 digits Papua New Guinea 1980 - see Variable: PG1980A_IND - Industry, 3 digits Papua New Guinea 2000 - see Variable: PG2000A_IND3 - Industry (3-digit) Paraguay 1962 - see Variable: PY1962A_IND3 - Industry (3 digits) Paraguay 1972 - see Variable: PY1972A_IND3 - Industry (3 digits) Paraguay 1982 - see Variable: PY1982A_IND3 - Industry, 3-digits Paraguay 1992 - see Variable: PY1992A_IND3 - Industry, 3 digits Paraguay 2002 - see Variable: PY2002A_IND - Industry (4 digits) Peru 1993 - see Variable: PE1993A_IND - Economic activity (4 digits) Peru 2007 - see Variable: PE2007A_IND - Economic activity (4-digits) Peru 2017 - see Variable: PE2017A_IND4 - Economic activity (4-digits, in primary job last week) Philippines 1990 - see Variable: PH1990A_IND - Industry Philippines 1995 - see Variable: PH1995A_IND - Industry Philippines 2000 - see Variable: PH2000A_IND - Industry Philippines 2010 - see Variable: PH2010A_IND3 - Kind of business or industry (3-digit) Poland 1978 - see Variable: PL1978A_IND - Industry (of person providing support) Poland 2002 - see Variable: PL2002A_IND - Industry (main employer) Portugal 1981 - see Variable: PT1981A_IND - Industry Portugal 1991 - see Variable: PT1991A_IND - Industry Portugal 2001 - see Variable: PT2001A_IND - Industry Portugal 2011 - see Variable: PT2011A_IND - Industry Puerto Rico 1970 - see Variable: PR1970A_IND1990 - Industry, 1990 basis Puerto Rico 1980 - see Variable: PR1980A_IND1990 - Industry, 1990 basis Puerto Rico 1990 - see Variable: PR1990A_IND - Industry Puerto Rico 2000 - see Variable: PR2000A_IND1990 - Industry, 1990 basis Puerto Rico 2005 - see Variable: PR2005A_IND1990 - Industry, 1990 basis Puerto Rico 2010 - see Variable: PR2010A_IND - Industry Puerto Rico 2015 - see Variable: PR2015A_IND - Industry Puerto Rico 2020 - see Variable: PR2020A_IND - Industry Romania 1977 - see Variable: RO1977A_IND - Industry of supporter Romania 1977 - see Variable: RO1977A_WKACT - Activity category Romania 1992 - see Variable: RO1992A_IND - Industry Romania 2002 - see Variable: RO2002A_IND - Industry Romania 2011 - see Variable: RO2011A_INDGEN - Industry (general categories) Rwanda 2002 - see Variable: RW2002A_IND - Industry Rwanda 2012 - see Variable: RW2012A_IND2 - Industry (3-digit) Saint Lucia 1991 - see Variable: LC1991A_IND3 - Industry, 2 digit Senegal 1988 - see Variable: SN1988A_IND - Industry Senegal 2013 - see Variable: SN2013A_IND3 - Industry (3-digit) Sierra Leone 2004 - see Variable: SL2004A_IND - Industry Slovenia 2002 - see Variable: SI2002A_IND - Industry South Africa 1996 - see Variable: ZA1996A_IND2 - Industry, 2 digits South Africa 2001 - see Variable: ZA2001A_IND3 - Industry, 3 digit South Africa 2007 - see Variable: ZA2007A_IND3 - Industry, 3 digit South Sudan 2008 - see Variable: SS2008A_IND - Industry Spain 1981 - see Variable: ES1981A_IND - Industry Spain 1991 - see Variable: ES1991A_IND - Activity of the establishment Spain 2001 - see Variable: ES2001A_IND - Industry Spain 2011 - see Variable: ES2011A_IND - Industry, 2-digits Sudan 2008 - see Variable: SD2008A_IND - Industry Suriname 2004 - see Variable: SR2004A_IND - Industry Suriname 2012 - see Variable: SR2012A_IND - Industry (groups) Switzerland 1970 - see Variable: CH1970A_IND - Branch of economic activity (industry) Switzerland 1980 - see Variable: CH1980A_IND - Branch of economic activity (industry) Switzerland 1990 - see Variable: CH1990A_IND - Branch of economic activity (industry) Switzerland 2000 - see Variable: CH2000A_IND - Branch of economic activity (industry) Switzerland 2011 - see Variable: CH2011A_IND2 - Industry of local unit, workplace (NOGA 2-digit) Tanzania 2002 - see Variable: TZ2002A_IND - Industry last week Tanzania 2012 - see Variable: TZ2012A_IND - Industry Thailand 1970 - see Variable: TH1970A_IND - Principal industry last year Thailand 1980 - see Variable: TH1980A_IND - Principal industry last year Thailand 1990 - see Variable: TH1990A_IND3 - Principal industry last year, 3 digits Thailand 2000 - see Variable: TH2000A_IND3 - Industry last year, 3 digits Togo 1970 - see Variable: TG1970A_IND - Industry (1-digit) Togo 2010 - see Variable: TG2010A_IND3 - Industry (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_IND - Industry (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_IND - Industry Trinidad and Tobago 2000 - see Variable: TT2000A_IND - Industry (2 digits) Turkey 1985 - see Variable: TR1985A_INDALT - Industry (2-digit) Turkey 1990 - see Variable: TR1990A_IND2 - Industry (2 digits) Turkey 2000 - see Variable: TR2000A_IND2 - Industry, 2 digit Uganda 2002 - see Variable: UG2002A_IND - Industry United Kingdom 1961 - see Variable: UK1961A_IND - Industry United Kingdom 1971 - see Variable: UK1971A_IND - Industry United Kingdom 1991 - see Variable: UK1991A_IND - Industrial classification United Kingdom 2001 - see Variable: UK2001A_IND - Industry classification United States 1960 - see Variable: US1960A_IND - Industry United States 1970 - see Variable: US1970A_IND - Industry United States 1980 - see Variable: US1980A_IND - Industry United States 1990 - see Variable: US1990A_IND - Industry United States 2000 - see Variable: US2000A_IND - Industry United States 2005 - see Variable: US2005A_IND - Industry United States 2010 - see Variable: US2010A_IND - Industry United States 2015 - see Variable: US2015A_IND - Industry United States 2020 - see Variable: US2020A_IND - Industry Uruguay 1963 - see Variable: UY1963A_IND2 - Primary industry [2-digit] Uruguay 1985 - see Variable: UY1985A_IND - Industry during the past week Uruguay 1996 - see Variable: UY1996A_IND2 - Industry (ISIC 3, 2 digits) Uruguay 2006 - see Variable: UY2006A_IND3 - Industry (ISIC rev 3, 3 digits) Venezuela 1981 - see Variable: VE1981A_IND - Industry Venezuela 1990 - see Variable: VE1990A_IND - Industry Venezuela 2001 - see Variable: VE2001A_IND - Industry Vietnam 1989 - see Variable: VN1989A_IND2 - Industry, 2 digits Vietnam 1999 - see Variable: VN1999A_IND3 - Industry, 3 digit Vietnam 2009 - see Variable: VN2009A_IND - Industry Vietnam 2019 - see Variable: VN2019A_IND3 - Industry, 3 digit Zambia 1990 - see Variable: ZM1990A_IND - Industry Zambia 2000 - see Variable: ZM2000A_IND - Type of industry, 3 digits Zambia 2010 - see Variable: ZM2010A_IND2 - Industry, 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 Size of work establishment ESTABSZ reports the number of people employed in the respondent's work establishment. 00 None 01 1 employee 02 1 to 5 03 1 to 9 04 2 to 4 05 2 to 5 06 2 to 9 07 5 08 5 to 9 09 6 to 9 10 6 to 10 11 6 to 39 12 10 to 19 13 10 to 24 14 10 to 49 15 10 to 99 16 11 to 15 17 11 to 20 18 11 to 50 19 16 to 19 20 16 to 50 21 20 to 49 22 21 to 100 23 25 to 499 24 50 to 249 25 100 to 449 30 6 or more 31 10 or more 32 20 or more 33 40 or more 34 50 or more 35 51 or more 36 100 or more 37 250 or more 38 500 or more 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Hours worked per week HRSWORK1 indicates the number of hours the respondent worked per week at all jobs. 000 0 hours 001 1 hour 002 2 hours 003 3 hours 004 4 hours 005 5 hours 006 6 hours 007 7 hours 008 8 hours 009 9 hours 010 10 hours 011 11 hours 012 12 hours 013 13 hours 014 14 hours 015 15 hours 016 16 hours 017 17 hours 018 18 hours 019 19 hours 020 20 hours 021 21 hours 022 22 hours 023 23 hours 024 24 hours 025 25 hours 026 26 hours 027 27 hours 028 28 hours 029 29 hours 030 30 hours 031 31 hours 032 32 hours 033 33 hours 034 34 hours 035 35 hours 036 36 hours 037 37 hours 038 38 hours 039 39 hours 040 40 hours 041 41 hours 042 42 hours 043 43 hours 044 44 hours 045 45 hours 046 46 hours 047 47 hours 048 48 hours 049 49 hours 050 50 hours 051 51 hours 052 52 hours 053 53 hours 054 54 hours 055 55 hours 056 56 hours 057 57 hours 058 58 hours 059 59 hours 060 60 hours 061 61 hours 062 62 hours 063 63 hours 064 64 hours 065 65 hours 066 66 hours 067 67 hours 068 68 hours 069 69 hours 070 70 hours 071 71 hours 072 72 hours 073 73 hours 074 74 hours 075 75 hours 076 76 hours 077 77 hours 078 78 hours 079 79 hours 080 80 hours 081 81 hours 082 82 hours 083 83 hours 084 84 hours 085 85 hours 086 86 hours 087 87 hours 088 88 hours 089 89 hours 090 90 hours 091 91 hours 092 92 hours 093 93 hours 094 94 hours 095 95 hours 096 96 hours 097 97 hours 098 98 hours 099 99 hours 100 100 hours 101 101 hours 102 102 hours 103 103 hours 104 104 hours 105 105 hours 106 106 hours 107 107 hours 108 108 hours 109 109 hours 110 110 hours 111 111 hours 112 112 hours 113 113 hours 114 114 hours 115 115 hours 116 116 hours 117 117 hours 118 118 hours 119 119 hours 120 120 hours 121 121 hours 122 122 hours 123 123 hours 124 124 hours 125 125 hours 126 126 hours 127 127 hours 128 128 hours 129 129 hours 130 130 hours 131 131 hours 132 132 hours 133 133 hours 134 134 hours 135 135 hours 136 136 hours 137 137 hours 138 138 hours 139 139 hours 140 140+ hours 998 Unknown 999 NIU (not in universe) Work Variables -- PERSON Hours worked per week, categorized HRSWORK2 indicates the number of hours the respondent worked per week at all jobs, categorized into intervals. 0 None 1 1 to 14 hours (except tt1980, tt1990 and tt2000) 2 15 to 29 hours (except de1970, ps2017, tt1980, tt1990, tt2000, and ve1971) 3 30 to 39 hours (except de1970, ps2017, tt1980, tt1990, tt2000, and ve1971) 4 40-48 hours (except il1972, tt1980, tt1990, and tt2000) 5 49 hours or more (except il1972 and tt2000) 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Usual hours worked per week HRSUSUAL1 indicates the usual number of hours the respondent works in a typical week across all jobs or in their main job. 000 0 hours 001 1 hour 002 2 hours 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+ hours 997 Inconsistent or irregular work schedule 998 Unknown 999 NIU (Not in universe) Work Variables -- PERSON Usual hours worked per week, categorized HRSUSUAL2 indicates the usual number of hours the respondent worked per week at all jobs or in their main job, categorized into intervals. 0 None 1 1 to 14 hours (except ca1971) 2 15 to 29 hours (except de1970, ca1971) 3 30 to 39 hours (except de1970) 4 40-48 hours (except il1972-1995, ca1971, pt1991-2011) 5 49 hours or more (except il1972 and ca1971) 7 Inconsistent or irregular work schedule 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Person number (within household) Hungary 2001: All persons This variable indicates the person number (within the household). 00 Household record 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 Technical Person Variables -- PERSON Serial number of household within dwelling <svar v="HU01A400 HU01A401 HU01A402" a="all">Person's _ _ _<br />Household's (HSOR) _<br />Family's (CSSOR) _ _<br /></svar> <svar v="HU01A401" a="all"><span class="em">Identification number of the household living in the dwelling</span><br />The households will be marked with a serial number starting with "1"; the first households is marked with "1", the second with"2", etc. If there are more than 9 households living in the dwelling the household number of the 9+ households will be the same, "9". Persons belonging to the same household will be marked with the same household number.<br /></svar> Hungary 2001: All persons This variable indicates the serial number of the household. 0 Persons in collective dwellings 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 Technical Person Variables -- PERSON Family status <svar v="HU01A403 HU01A413 HU01A415 HU01A431 HU01A412" a="all">The person's marital status (CSLAS) and role in the family (household)<br /><div class="i1">[] 1 Husband, wife<br />[] 2 Partner in life<br />[] 3 Lone father, mother<br />[] 4 Child<br />[] 5 Ancestry<br />[] 6 Other relative<br />[] 7 Child under state care<br />[] 8 Non-relative<br />[] 9 Single</div><br /></svar> <svar v="HU01A403 HU01A413 HU01A415 HU01A431" a="all"><span class="em">What is the position of the person in the family? Family status?</span><br /><ul class="b1"> <li>One of the answers will be underlined; only one answer must be marked:</li> <li>Husband, wife: legally married male and female living in a common household;</li> <li>Partner in life: consensual partner, male and female living together without legal marriage, forming a household;</li> <li>Father,mother: male or female living in a family with the children and without spouse;</li> <li>Child irrespective of the age, marital status and the source of livelihood the child (adopted, foster-child, including child born outside marriage) of the husband, wife, consensual partner, or father or mother provided he/she does not form an independent household;</li> <li>Ascending partner father or mother, grandparent, grand-grandparent, father-in-law, mother-in-law if living in the household without spouse or child (e.g. the father or mother of one of the spouses, couple living with one of the grandparents);</li> <li>Other relative is the person other than descried above, living in the given household, relative of at lest one f the members of the household, not forming a family (e.g. sibling of one of the married couple, aunt, uncle, one of the grandparents with his grandson);</li> <li>Child under state care living in the family is the child placed at the given family by the Children's Protection Authority (for temporarily or permanently and not adopted). In this cases the family receives a cash contribution financing the upbringing clothing and training of the child;</li> <li>Non-relative: non-relative persons living with the family (e.g. domestic help, person supported upon life-contract) as well as the non-relative person living together in a household not incorporating any family nucleus, with other persons (e.g. friend);</li> <li>Lone person is the person living alone in a separate household.</li> </ul><br /></svar> Hungary 2001: All persons This variable indicates the family status. 1 Husband, wife 2 Consensual (cohabiting) partner 3 Father, mother 4 Child 5 Other 6 Person living alone Demographic Variables -- PERSON Dwelling's tenure status <svar v="HU01A046 HU01A404" a="all">Status of occupancy in the dwelling (JC)<br /><div class="i1">[] 1 Owner<br />[] 2 Relative of the owner<br />[] 3 Tenant, head tenant, cotenant<br />[] 4 Relative of the tenant, head tenant, cotenant<br />[] 5 Occupant of official quarters<br />[] 6 Roomer<br />[] 7 Night-lodger<br />[] 8 Occupant of institution<br />[] 9 Homeless without address<br />[] 0 Other</div><br /></svar> <svar v=" HU01A046 HU01A404" a="all"><span class="em">Status of occupancy in the dwelling?</span><br /><br />The answer "owner" is marked if the enumerated person is sole or joint owner of the dwelling. Beneficiary user should be regarded as owner. One dwelling might be owned by several persons.<br /><br />The answer is "relative of the owner" (e.g. his/her spouse, consensual partner, child, parent) if the persons is a relative of the owner of the dwelling, even if they do not live together. The "relative of the owner" can be marked only if the use of the dwelling is free of charge.<br /><br />If the owner of the dwelling is not a natural person the title "owner" or "relative of the owner" must not be marked. (See the answer at question 6.1 "Data on the housing unit" on the Dwelling questionnaire).<br /><br />The answer "tenant, co-tenant" will be marked if he/she is using the dwelling alone or with some other people upon paying a rental fee and the use of the dwelling is not connected to a working or service contract. (Co-tenants are using a part of the dwelling exclusively, while some premises -- e.g. the kitchen, the bathroom -- is used jointly wit an other co-tenant.<br /><br />The answer "relative of tenant, co-tenant" is marked if the persons is not the tenant, co-tenant of the dwelling but is a relative of the former person (e.g. spouse, consensual partner, child, parent, and sibling).<br /><br />The answer is "user of service dwelling" if the use of dwelling is connected to a working or service contract. The dwelling might be supplied free of charge or for a rental fee too.<br /><br />The answer is "subtenant" if the person has an exclusive right for using at least one premises of the dwelling for paying a rental fee to the tenant of the dwelling. If the rental contract ensures the exclusive use of the whole dwelling the answer "tenant, co-tenant" should be marked.<br /><br />The answer is night-lodger if the person does not use any of the premises of the dwelling with an exclusive right; he/she only rents a bed for a fee. The answer could be underlined if the dwelling is occupied by the owner, his/her relative, the tenant, co-tenant, and relative of the tenant, cotenant, or user of service dwelling.<br /><br />The answer is institutional inhabitant if the person lives in a dwelling offered by an institution, and he/she is making use of the services -- lodging and full-board -- of the institution.<br /><br />The answer is homeless without address if the person at the date of the enumeration lives/stays in the staircase, doorway, etc., he/she is staying in a place which can not be connected to premises (like dwelling, holiday house, other housing unit or institutional household)..<br /><br />The answer is other title if the person's title of use of dwelling can not be classified as above.<br /></svar> Hungary 2001: Persons in non-collective dwellings [discrepancies: none] This variable indicates the tenure status of the dwelling the person is inhabiting. 1 Owner or his/her relative 2 Main tenant or his/her relative, user of service dwelling 3 Subtenant, bedtenant, night-lodger, other tenure 4 NIU (not in universe) Constructed Family Interrelationship Variables -- PERSON Sex <svar v="HU01A405" a="all">1. Gender<br /><div class="i1">[] 1 Male<br />[] 2 Female</div><br /></svar> Hungary 2001: All persons This variable indicates the person's sex. 1 Male 2 Female Demographic Variables -- PERSON Age <svar v="HU01A406" a="all">2. Date of Birth (year, month): _ _ _ _ _ _<br /></svar> Hungary 2001: All persons This variable indicates the person's age. 000 0 001 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+ Demographic Variables -- PERSON Citizenship <svar v="HU01A407" a="all">3. Country of citizenship<br /><div class="i1">[] 1 Hungary<br />[] Other ____</div><br /></svar> <svar v="HU01A407" a="all"><span class="em">3 Question: Country of citizenship</span><br /><br />In cases of foreigners, the country of citizenship should be entered.<br />In case of a person of double citizenship,<br /><div class="i1">If one of the citizenship is Hungarian after marking it into the heading other country the name of the country of the second citizenship will be marked;<br />If none of the citizenships are Hungarian, then only one citizenship, namely the one which according to the respondent has primary significance will be marked.</div><br />In case the person does not have any citizenship, then, in other country, the term "stateless" should be entered.<br /></svar> Hungary 2001: All persons This variable indicates the person's citizenship. 1 Foreigners 2 Hungarian Nativity and Birthplace Variables -- PERSON Marital status <svar v="HU01A408" a="all">8. Marital status:<br /><div class="i1">[] 1 Never married (Skip to 10)<br />[] 2 Married, living together<br />[] 3 Married but living separately<br />[] 4 Widowed<br />[] 5 Divorced</div><br /></svar></p> <p><svar v="HU01A408">8. In marking the marital status, the legal <span class="lang">de jure</span> status is the basis.<br /></svar> <svar v="HU01A408" a="all"><span class="em">Question 8: Marital status</span><br /><br />While marking the marital status the legal state will be taken into account. The legally married person who's wife is alive and the marriage is not terminated by the court is marked as married even if he/she is not living with the spouse. The married person should be questioned if he /she is living with the spouse or separated from her/him. In fact living together or separated is a matter of personal decision. The answer marked is not necessarily the same as the family status entered on the 4th page of the Dwelling questionnaire.<br /><br />The marital status of the persons living in cohabitation (as consensual partners) should be entered also according to the legal state, e.g. if a never married female is in cohabitation with a married male the family status is never married and married, not living with the spouse respectively.<br /></svar> Hungary 2001: All persons This variable indicates the person's marital status. 1 Never married 2 Married, living together with spouse 3 Married, not living together with spouse 4 Widowed 5 Divorced Demographic Variables -- PERSON Number of marriages <svar v="HU01A409" a="all">9.1 Number of marriage _<br /></svar></p> <p><svar v="HU01A409">9.1--9.5. Number of legal marriages applies here. (If applicable you have to disregard the number of cohabitations.) If you had more than two marriages, you have to write the data of the latest one in the last row.<br /></svar> <svar v="HU01A409" a="all"><span class="em">Question 9.1: Number of marriages?</span><br /><br />The number of the legal marriages of the enumerated person will be marked. (Number of cohabitations should be omitted). If the enumerated person married only once, the sub-questions (9.2--9.5) will be answered with reference to the given marriage. If a person married twice, the question regarding the last marriage refers to the second marriage. If the enumerated person has had more than two marriages, the question will be answered with reference to the marriage bound at the date closer to the reference date.<br /></svar> Hungary 2001: Ever-married persons [discrepancies: none] This variable indicates the number of marriages. 0 NIU (not in universe) 1 1 2 2 3 3 4 4 5 5+ 9 Unknown Demographic Variables -- PERSON In consensual union <svar v="HU01A410" a="all">10. Do you live in cohabitation?<br /><div class="i1">[] 0 No<br />[] Yes, with present partner</div><br /><div class="i2">_ _ _ _ Year _ _ Month</div><br /></svar></p> <p><svar v="HU01A410">10. In cohabitation, it is not necessary for the partners to live in common dwelling in this respect.<br /></svar> <svar v="HU01A410" a="all"><span class="em">Question 10: Do you live in cohabitation?</span><br /><br />The denomination "living in consensual partnership" refers to persons declaring themselves as living in lasting cohabitation without legal marriage; they might live together either on the place of enumeration or not in the same dwelling. If a person is marked as consensual partner the table on the 4th page of the dwelling questionnaire, answer should be given here by marking the year and month of the commencement of the cohabitation.<br /></svar> Hungary 2001: All persons This variable indicates whether the person is presently in consensual union. 1 Yes 2 No Demographic Variables -- PERSON Number of liveborn children <svar v="HU01A411" a="all">11. _ _ Number of live-born children:<br /><br />Date of birth (year, month)<br /><div class="i1">_ _ _ _ _ _ First<br />_ _ _ _ _ _ Second<br />_ _ _ _ _ _ Third<br />_ _ _ _ _ _ For more than three, the youngest</div><br /></svar></p> <p><svar v="HU01A411">11. You have to consider those children who live somewhere else, in another family or under state care, moved or died. You must not consider adopted or foster-child.<br /></svar> <svar v="HU01A411" a="all"><span class="em">Question 11: Number of live-born children</span><br /><br />Live-birth is the coming into the world of the fetus giving some sign of life (e.g. breathing, heart function, decisive motion of the volitional muscles, and pulsation of the umbilical cord), regardless to how long he/she was in the mother's uterus and how long he/she lived. In answering the question should be taken into account also the children living with other families, are under state care or had deceased. The adopted children and foster children must not be taken into account.<br /><br />The question refers to every child born in the lifetime of the enumerated person. The aim of the question is to acquire information on the number of the children and the date of birth of the children. In cases of not more than three children, the first three columns will be filled in with the data referring to them. In cases of more than three children, the last column refers to the child born the closest to the date of the enumeration.<br /> If the enumerated person does not have a live-born child, the boxes 00 will be marked and the enumeration will be continued by answering question 12.1.<br /></svar> Hungary 2001: Persons age 15+ [discrepancies: none] This variable indicates the 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+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Relation to the head of family <svar v="HU01A403 HU01A413 HU01A415 HU01A431 HU01A412" a="all">The person's marital status (CSLAS) and role in the family (household)<br /><div class="i1">[] 1 Husband, wife<br />[] 2 Partner in life<br />[] 3 Lone father, mother<br />[] 4 Child<br />[] 5 Ancestry<br />[] 6 Other relative<br />[] 7 Child under state care<br />[] 8 Non-relative<br />[] 9 Single</div><br /></svar> <svar v="HU01A403 HU01A413 HU01A415 HU01A431" a="all"><span class="em">What is the position of the person in the family? Family status?</span><br /><ul class="b1"> <li>One of the answers will be underlined; only one answer must be marked:</li> <li>Husband, wife: legally married male and female living in a common household;</li> <li>Partner in life: consensual partner, male and female living together without legal marriage, forming a household;</li> <li>Father,mother: male or female living in a family with the children and without spouse;</li> <li>Child irrespective of the age, marital status and the source of livelihood the child (adopted, foster-child, including child born outside marriage) of the husband, wife, consensual partner, or father or mother provided he/she does not form an independent household;</li> <li>Ascending partner father or mother, grandparent, grand-grandparent, father-in-law, mother-in-law if living in the household without spouse or child (e.g. the father or mother of one of the spouses, couple living with one of the grandparents);</li> <li>Other relative is the person other than descried above, living in the given household, relative of at lest one f the members of the household, not forming a family (e.g. sibling of one of the married couple, aunt, uncle, one of the grandparents with his grandson);</li> <li>Child under state care living in the family is the child placed at the given family by the Children's Protection Authority (for temporarily or permanently and not adopted). In this cases the family receives a cash contribution financing the upbringing clothing and training of the child;</li> <li>Non-relative: non-relative persons living with the family (e.g. domestic help, person supported upon life-contract) as well as the non-relative person living together in a household not incorporating any family nucleus, with other persons (e.g. friend);</li> <li>Lone person is the person living alone in a separate household.</li> </ul><br /></svar> Hungary 2001: All persons This variable indicates the person's relation to the head of the family. 1 Head of family 2 Spouse of the head of family 3 Cohabiting partner of the head of family 4 Other family member Demographic Variables -- PERSON Highest education level completed <svar v="HU01A416" a="all">12.1 School attendance, qualification<br /><div class="i1">[] 1 Nursery school, kindergarten (Skip to 13)<br />[] 0 Do not attend school, never completed any class (Skip to 13)</div><br /><br />Type of education<br /><div class="i1">Elementary school</div><br /><div class="i2">Being attended _ _<br />Completed _ _</div><br /><div class="i1">Higher elementary school</div><br /><div class="i2">Completed _</div><br /><div class="i1">Apprentice school</div><br /><div class="i2">Completed _<br />Year of completion _ _ _ _</div><br /><div class="i1">Typist and stenographic, health and housekeeping</div><br /><div class="i2">Completed _<br />Year of completion _ _ _ _</div><br /><div class="i1">Class other specialized secondary school _ _</div><br /><div class="i2">Being attended _ _<br />Completed _ _<br />Year of completion _ _ _ _</div><br /><div class="i1">Basic level vocational training</div><br /><div class="i2">Being attended _<br />Completed _<br />Year of completion _ _ _ _</div><br /><div class="i1">Class grammar school _ _</div><br /><div class="i2">Being attended _ _<br />Completed _ _<br />Year of completion _ _ _ _</div><br /><div class="i1">Class other secondary school _</div><br /><div class="i2">Being attended _ _<br />Completed _ _<br />Year of completion _ _ _ _</div><br /><div class="i1">Class other technical school _</div><br /><div class="i2">Being attended _ _<br />Completed _ _<br />Year of completion _ _ _ _</div><br /><div class="i1">Bilingual _ class (specialized) secondary school</div><br /><div class="i2">[] 1 Being attended<br />[] 1 Completed<br />Year of completion _ _ _ _</div><br /><div class="i1">Secondary level vocational training</div><br /><div class="i2">Being attended _<br />Completed _<br />Year of completion _ _ _ _</div><br /><div class="i1">High level, accredited vocational training</div><br /><div class="i2">Being attended _<br />Completed _<br />Year of completion _ _ _ _</div><br /><div class="i1">High school</div><br /><div class="i2">Being attended _<br />Completed _</div><br /><div class="i1">Post-graduation in high school</div><br /><div class="i2">Being attended _<br />Completed _</div><br /><div class="i1">University</div><br /><div class="i2">Being attended _<br />Completed _</div><br /><div class="i1">Post-graduation in university (PhD, DLA)</div><br /><div class="i2">Being attended _<br />Completed _</div><br /></svar></p> <p><svar v="HU01A416 HU01A430">12.1--12.6. All educational qualifications have to be taken into account. It is not enough if you give the highest level one only. You must not write in courses. You must not make difference between qualifications obtained via regular or non-regular form of education (evening or mail course, distance teaching, private).<br /></svar></p> <p><svar v="HU01A416">12.1 The number of classes (years) must not be converted into the current education system. Currently someone goes to school if he/she is enrolled for the 2000/2001 school year in one of the listed types of school.<br /></svar> <svar v="HU01A416" a="all"><span class="em">Question 12.1: School attendance, qualification</span><br /><br />The question will be answered by taking into account the number of grades (classes) of the studies, attainment in the frame of the school system. The question -- irrespective of the age of the persons -- must be answered by everybody. The different courses, qualifications obtained outside the school system will not be taken into account.<br /><br />If the person in question is attending the day nursery -- irrespective of the level of the day nursery attended -- the interrogation will commence with question 13. The schools for handicapped children in some cases introduce a preparatory training for the children under school-age. The children participating in that so called pre-school education should be regarded as attending the day nursery.<br /><br />The answer is "does not attend the school not even one grade completed" is marked in cases of persons who had not complete even one grade of the primary (elementary) school and who do not attend any educational institution, irrespective of their literacy. In case of the latter persons, the interrogation should be continued with question 13.<br /><br />That is: if a person is simultaneously attending several educational institutions or has several final educations at different levels, the answer should be given to the respective questions in the appropriate line.<br /><br />The questions should be asked from every persons either attending or completed any school in the sequence as printed on the questionnaire:<br /><div class="i1">In cases of persons attending an educational institution the number of the grade he/she was enrolled for the school-year 2000/2001 further.<br /><br />In cases of every person the highest grade of education completed as well as<br />The calendar year of completing the highest grade of the given type of school.</div><br />Consequently the corresponding table contains four columns:<br /><br />The former educational institutions' grades must not be converted into the grades of the contemporary educational system. Similarly it is not allowed the conversion of the grades between the day-courses and evening, correspondence, etc. courses of the different educational institutions. The marking of the highest grade completed should follow the prevailing educational system. The present educational system allots an ascending number to the grades of the schooling as from the first class till the last grade (class) of the secondary education. Taking into account that the proper knowledge of the system (especially among the elderly people) is not well known e.g. instead of marking the 11th grade of the education also the 3d grade of the secondary school is acceptable.<br /><br />It is possible that an enumerated person completed his studies in a given type of education and currently is attending a school of the same type of the educational system (e.g. the person is studying for getting his second general education with profession, or even if graduate of a university he/she is conducting studies at an other university). In this case:<br /><br />In case a person completed two educational institutions of the same type (e.g. the person completed formerly two universities or two professional schools), the completion of the columns should refer to the institution having had higher number of grades.<br /><br />In case the enumerated person is visiting (or completed) a bilingual secondary school, the number of grades should be entered into the line corresponding to the type of school. In the past the bilingual secondary schools commenced with ("0" grade) preparatory classes; this should be marked in the respective line.<br /><br />The preparatory grades ("0" semesters) of the universities, in the higher educational institutions are not part of the educational system; consequently those must not be marked on the questionnaire.<br /><br />In the educational system the professional training, education might be obtained on base-, medium- and high level. The former apprentice schools do not exists anymore. In the contemporary educational system the educational institutions of professional training (specialized secondary schools, professional schools, etc.) denote the grades with two numbers separated by "/". The first number is for the grade of the professional while the second number for the grade of the general training, education. In these cases the enumerator should ask the person in question whether<br /><div class="i1">What is the level (base-, medium- or higher) of the professional education,<br />As regards the professional education what is the grade currently visited and completed respectively and<br />What is the grade currently attended and completed in the general education.</div><br />E.g.: If the enumerated person answers that he is visiting the 1/11th grade of the professional secondary school, he is studying in the first grade (marked with "1") of the base professional education and in the 11th grade of the general education, meaning the latter number will be marked in the boxes showing the educational grade.<br /><br />The first grade of the professional training not requiring any previous education (e.g. florist) is marked as 1/8. In this case the number '"1" marks the base professional education, while number "8" should be entered into the respective boxes at the general primary school.<br /><br />Professional training lasting for less than a year corresponds to one grade of training.<br /><br />Some of the secondary schools (anew) are using the denomination "technical school" in its name because it assures a training of medium level technical training or high level training of engineer assistants. The given educational establishments must not be regarded as equal to the former secondary institutions ensuring general certificate of education with secondary professional training as technician and with those which produced technicians of a high level. These establishments should be regarded as specialized schools, specialized secondary schools.<br /><br />In case of higher educational institutions, universities where the passing of an exam depends on collecting the so called credit points the attendance and completion of the studies should be defined according to the credits collected<br /><br />In case the person enumerated visited several educational establishment of the same type, the grades completed must not be sum up but the highest grade completed should be marked.<br />The classes of the extension courses completed before 1960 must not be added to the number of grades completed in the primary education.<br />Educational attainment acquired abroad should be classified according to the Hungarian educational system.<br /></svar> Hungary 2001: Persons age 7+ [discrepancies: none] This variable indicates the person's highest education level completed in the school system. 0 NIU (not in universe) 1 3 grades of general (primary) school or less 2 4-7 grades of general school 3 First cycle of secondary school 4 Second-level apprentice or vocational school 5 Second cycle of secondary school 6 Third-level education Education Variables -- PERSON Economic activity <svar v="HU01A417" a="all">13. What is your source of livelihood?<br /><div class="i1">Please mark at most three answers<br />[] 10 Work, activity providing income<br />[] 11 Regular or reserve military service<br />[] 20 Child care allowance<br />[] 21 Child care fee<br />[] 30 Old age pension on own right<br />[] 31 Disability or accident pension<br />[] 40 Pension or benefit of relative's right<br />[] 50 Unemployment benefit<br />[] 51 Welfare assistance for unemployed<br />[] 60 Other regular benefit, aid<br />[] 70 From own asset and other resource<br />[] 80 Dependent by private person<br />[] 81 Dependent by public institution</div><br /></svar></p> <p><svar v="HU01A417">13. Please mark three boxes maximum which relate to a contribution to your livelihood. If you have regular income from work (e.g. you are employed) or you worked at least one hour during the week preceding the enumeration please mark the box code 10. All activities providing income (salary, fee, etc. or compensation in kind) apply here.<br /></svar> <svar v="HU01A417" a="all"><span class="em">Question 13: What provides your livelihood?</span><br /><br />The enumerator should prepare himself/herself that in enumerating the sources of livelihood an increased mistrust might be felt. In case of questioning the income, revenue of the people the reservation is even stronger if the profit earning activity is not or not fully in compliance with the legislation (e.g. business activity without license, working for enumeration besides receiving unemployment benefit, etc.). Therefore it is very important that the enumerator creates a proper ambiance for conducting the questioning.<br /><br />The enumerator should let it understand that the enumeration is not intended to enumerate the revenues, and especially not the amount, the size of those. The enumeration of the sources of livelihood will be used only for<br /><div class="i1">Classification of the population according to the types of their source of livelihood and<br />Having a proper description of the unemployment in the country.</div><br />The answer to the question should refer to the week preceding the reference date of the census.<br /><br />The imprisoned persons are the only exemptions; in their case the answer should refer to the situation preceding their arrest, imprisonment.<br /><br />In recording the sources of livelihood it is inevitable to define all the factors contributing to the sources of livelihood of the individuals. Therefore a single answer can be marked only in case the enumerated person has only one source of livelihood; in case of multiple sources of livelihood, it is not sufficient to mark only the main source. In the case of a pensioner who worked (had a working contract) on the week preceding the reference date of the census, both sources, i.e. the pension and the work will be recorded. Not more than three sources of livelihood can be marked.<br /><br />It is most important that in the case of the persons receiving compensation for work, the source of livelihood is indicated.<br /><br />Income generating work is every activity -- including civil services, work performed as family helper, participation in activities of public utility, the causal, odd works -- which is compensated in cash (wage, salary) or in kind. In answering the question it is indifferent if the compensation had been or had not been already paid. While answering the question the legal frames of the work performance -- i.e. performed as employee or private entrepreneur, with or without a working contract, registered or not registered by the social insurance, with or without the working license -- are indifferent.<br /><br />The following activities are not regarded as income generating work: voluntary, unpaid work (charity, etc.) for any other household, institution; construction, repair, maintenance of the house in the person's property; works performed in the household, including the works in the garden (unless the aim is to sell the products).<br /><br />The employed persons -- elected or contracted civil servants, judges, prosecutors, working members of co-operatives, persons having a working contract, private entrepreneurs will be regarded people performing income generating work even if due to different reasons (illness, paid or unpaid holidays, temporary standstill of production, etc.) on the week preceding the reference date of the census did not work. The so called "childcare leave" -- which is guaranteed by the social security and the given person receives a cash compensation -- on the other hand must not be regarded as income generating activity. The persons being on childcare leave can be marked as working for income only if while receiving the childcare allowance they also perform additional paid work.<br /><br />The entry is "conscript, reservist on duty" in case of persons who by allegiance serve the allotted military service as enrolled civilians or reservists on duty. The service might mean the base training, continuing drill, exercise, special service, service with or without weapons, etc. Persons not accepting the military service based on conscience are obliged to perform civilian service, which is equivalent with the enrolment into the army. Nevertheless the civilian service from the point of view of the given question will be regarded as the other civilian works that is the civilian service will be marked as income generating activity.<br /><br />The parent, foster parent having a young child in the family is entitled to receive childcare allowance. The social security is paying the childcare allowance generally till the forth year of age of the newborn child nevertheless in case the child has definite deficiencies in body or mentally it is possible to prolong the payment till the age of 15th year.<br /><br />Allowance for upbringing a child (<span class="lang">gyet</span>) is paid to the parent, foster parent in case there are at least three children and the youngest one is below the age of 9 years.<br /><br />The pension, rent on own right is a regular income paid to the person on the base of his/her working activity after reaching the defined age<br /><br />The pension on own right might be:<br /><div class="i1">Old-age (full or partial) pension (the category includes the miner's pension, the old-age pension of some artists, the old-age pension granted by the Fund of the Hungarian Artists as well as the so called service pension),<br />Advanced old-age pension<br />The reduced advanced old age pension which is granted in case the given person acquired the right for getting the pension on the base of a reduced service period. The answer is the same in case of the pensioners of the agricultural co-operatives.</div><br />Provided the persons receives a pension on own right and pension on derivative (widow's) right too the answer is "pension, rent on own right".<br /><br />Disability pension is paid to the persons who are not entitled (by their age or years of service) to get the old-age pension but due to their disability caused by an accident are not able to work. The regular subsidies paid for persons with disabilities (allowance for invalids, payments to blind people, transport/traffic contribution paid to persons disabled in body, allowances for health problems, rents for agricultural invalids) are also marked here.<br /><br />The answer "pensioner on derivative right" is marked in case the persons receives pension not on his own right but based on the social security contract of his close deceased relative (spouse, parent). The payment might permanent or temporary widow's pension, support to orphans, parent's pension on the right of the child, disability pension on the right of the spouse.<br /><br />Unemployment benefit or support to unemployed is payable only to persons under the retirement age. The support to unemployed is paid by the local self-government to the unemployed persons not having regular work and not receiving unemployment benefit.<br /><br />In each of the cases not listed above (family allowance, bourse, subsidies for students, child protection grant, fees for nursing, etc.), the answer is "receiving other assistance, support".<br /><br />The answer is "living on his property, income of other sources" if the person has an income upon a life annuity contract, from interest on deposited money, from dividends, etc.<br /><br />Provided the person does not have a regular personal income his livelihood is secured by a supporter. Always should be defined whether who is the supporter of the given person. In case the supporter is one of the parents, member of the household or other relative, the answer is "supported by a private person", while in case the supporter is an organization, institution, foundation, etc., the answer is "supported by public".<br /><br />The answer must be marked in case of children younger than 16 years of age, not working (due to studies, illness) children over 16 years of age and the housewife. Children under state care are regarded as institutional dependents; the same category is valid for the people living of casual grants, donations, charity benefits.<br /></svar> Hungary 2001: All persons This variable indicates the person's main economic activity. 1 Employed (with or without other source of livelihood) 2 Unemployed (including those with different sources of livelihood) 3 Persons receiving childcare fee, benefit or allowance 4 Pensioner 5 Other inactive earner 6 Dependent supported by an institution 7 Dependent supported by a private person Work Variables -- PERSON Occupation <svar v="HU01A418 HU01A419 HU01A420 HU01A421 HU01A422 HU01A430"><span class="em">Only for those who marked answers 10-11 in question 13</span><br />[Questions 15.1 through 18.2 were asked of those who marked answers 10-11 in question 13.]<br /></svar></p> <p><svar v="HU01A418" a="all">15.1 What is the name of the main occupation and what activities characterize it? ____<br /></svar></p> <p><svar v="HU01A418">15.1 Do not use general terms (e.g. civil servant, public official, pedagogue, entrepreneur, unskilled worker, administrator).<br /></svar> <svar v="HU01A418" a="all"><span class="em">Question 15.1: What is the name of the main occupation and what activities are characteristic to it?</span><br /><br />The answer should be recorded by taking into account the work on the week preceding the reference date of the census. The characteristics of the main job should be marked in case those are different from the one performed immediately before the reference date. If a person has several jobs he should whether which is regarded as the main job. In case the person is not able to answer, the job performed in the larger part of the weekly working hours will be recorded.<br /><br />The generally accepted and used denomination of the occupation, scope of activity will be marked (e.g. mechanical engineer, nurse, and barrister). An entry not indicating the effective activity -- e.g. civil servant, teacher, outside worker, entrepreneur, or office rank (like councilor, executive, post officer, etc.) -- should not be accepted. Besides the denomination of the occupation -- in case it does not define the activity -- the answer should give short summary of the main tasks of the person. This might help in defining the effective activity of the person.<br />E.g. in the manual occupations there are expressions which describe similar but though different activities.<br /><br />A good example is the sewer. The sewer working in a factory producing ready-made clothing is performing only a rather limited part of the dressmaking. The same is in case of the sewer as outside worker. The work of the former persons is different from that of the one who is making the dress as from the cutting up to the finishing. Similar examples could be listed on the occupations/denominations as smith, mechanic, etc.<br /><br />The description of the tasks while at works will show whether the activity expands to the whole process of the production or is restricted only to partial tasks such as operating the machinery, or similar (a possible entry is e.g. "assembly of different parts on a production line").<br />While recording the occupation a reference should be always given to the professional character of the job, e.g. pl. head of section dealing with tutelage, offence's executive, head of section of accountancy, account manager in financial institution.<br /><br />In case of leaders, managers of the institutions, business organizations, and companies, the denomination i.e. the description should give guidance for defining the appropriate managerial level (e.g. schoolmaster, managing director of motor repair limited company, head of section of a trading company, chief physician of a hospital ward, university professor leading a faculty, production manager in a construction company, foeman in a weaving mill). If the denomination of the occupation does not give allow the proper distinction more detailed professional approach is required, such as e.g. economist designated with the management of a market research section, doorman assigned with supervision of the security services, physician assigned with management of the maternity section, jurist assigned for directing the legal section of the ministry, shopkeeper I shoe shop, etc.<br /><br />The heads of a production unit (store, workshop, etc.) employing less than 3 persons is not a manager as manager; he/she will be recorded according to the profession (shopkeeper, auto mechanic, hairdresser, accountant, etc.).<br /><br />While recording the occupation the activity and not the qualification is taken into account.<br />An economist working as market researcher is not an economist but a market researcher; a private detective graduate of the University of Law is not a jurist but a private detective.<br />In case the profession or rather the actual activity of the professional and contracted member of the armed forces (military, frontier guard) as well as of he professional member or civil servant of the security services (police, professional fire service of the municipalities, civilian security services, detention services, excise and duty offices)<br /><div class="i1">Is equivalent to a civilian occupation than that will be recorded,<br />Has an explicit military, defense character the answer will be "employed by the armed forces" and the rest of the question will not be answered.</div><br /><br />The enumeration of the occupation, activity of the civil servants of the Ministry of the Interior and the Ministry of Defense will be performed as in general.<br /><br />In case the answer in question 13 is "conscript or reservist on duty", the answer is "conscript" or "reservist on duty" and the question from 15 to 17 will be skipped.<br />The enumeration of the occupation of the persons in civilian services will be performed according to the general rules.<br /><br />In case of causal hands and seasonal workers, it is not sufficient to enter the status but also the definite activity such as e.g. cleaning, digging in the garden, repairing the roof, wood-cutter, etc.<br />In case of family helpers, the description of the activity should give information whether what is the activity of the persons they are helping and what type of activity they perform (e.g. if the occupation is family helper as roustabout it has to be described that the person is family helper of a carrier).<br /></svar> Hungary 2001: Employed persons [discrepancies: type I trace, type II none] This variable indicates the person's occupation. It is coded using the ISCO classification. 00 NIU (not in universe) 01 Armed forces 11 Legislators and senior officials 12 Corporate managers 13 General managers 21 Physical, mathematical and engineering professionals 22 Life science and health professionals 23 Teaching professionals 24 Other professionals 31 Physical and engineering associate professionals 32 Life science and health associate professionals 33 Teaching associate professionals 34 Other associate professionals 41 Office clerks 42 Customer service clerks 51 Personal and protective service workers 52 Models, salespersons and demonstrators 61 Agriculture and fishery workers 71 Extraction and building trades workers 72 Metal, machinery and related trades workers 73 Precision, handicraft, printing, and related workers 74 Other craft and related trades workers 81 Stationary-plant and related operators 82 Machine operators and assemblers 83 Drivers and mobile-plant operators 91 Sales and services elementary occupations 92 Agriculture, fishery, and related laborers 93 Laborers in mining, construction, manuf. and transport Work: Occupation Variables -- PERSON Hours worked per week <svar v="HU01A418 HU01A419 HU01A420 HU01A421 HU01A422 HU01A430"><span class="em">Only for those who marked answers 10-11 in question 13</span><br />[Questions 15.1 through 18.2 were asked of those who marked answers 10-11 in question 13.]<br /></svar></p> <p><svar v="HU01A419" a="all">15.3 How many hours do you usually work?<br /><div class="i1">[] Hours a week _ _<br />[] 99 Varying</div><br /></svar></p> <p><svar v="HU01A419">15.3 If you have work contract you have to write in those hours which are put down in the contract. If you are self-employed then you have to write in those hours which are usually necessary to do a given work.<br /></svar> <svar v="HU01A419" a="all"><span class="em">Question 15.3: How many hours do you work usually?</span><br /><br />In case of persons having a working contract (employees) the weekly hours defined in their contract will be entered into the printed boxes. In case of private entrepreneurs, the weekly hours required by their occupation, normal business operation, including the time spent for preparing the productive/service activity should be entered into the boxes.<br />The entry is not fixed, depending on the assignment" in case the person's weekly hours can not be exactly defined.<br /></svar> Hungary 2001: Employed persons [discrepancies: type I trace, type II none] This variable indicates the time worked in terms of hours per week. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 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 82 82 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 94 94 95 95 96 96+ 97 No specified obligation for worktime 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Status in employment <svar v="HU01A418 HU01A419 HU01A420 HU01A421 HU01A422 HU01A430"><span class="em">Only for those who marked answers 10-11 in question 13</span><br />[Questions 15.1 through 18.2 were asked of those who marked answers 10-11 in question 13.]<br /></svar></p> <p><svar v="HU01A420" a="all">16. What's your status in employment?<br /><div class="i1">[] 1 Employee<br />[] 2 Self employed, sole proprietor<br />[] 3 Working owner of a company<br />[] 4 Working member of a co-operative<br />[] 5 Contributing family worker<br />[] 6 Occasional worker<br />[] 7 Worker for public utility</div><br /></svar> <svar v="HU01A420" a="all"><span class="em">Question 16: What is your status in employment?</span><br />The entry is employee in case the person is working -- generally on the base of a contract -- for an employer, that means he is neither a private entrepreneur nor a working member of a co-operative or family helper, etc.<br /><br />The answer is marked in case of elected and nominated civil servants, judges, prosecutors as well as in case of the professional and civilian members of the armed and security forces, organizations.<br /><br />Private entrepreneur is the entry in case of persons having a license for private business in general, the working member of a one-person undertaking without or with employees (artisan, merchant, agricultural producer, free-lance intellectual).<br /><br />Working member of a joint undertaking will be marked in case of a person who is co-owner of a joint undertaking (other than co-operative) with the obligation of performing work in the business.<br /><br />The entry is "member of co-operative" in case the given person is a member of a (consumer's or producing) co-operative with the obligation of personal contribution by work to the business.<br />The entry is "family helper" in case the given person is a family helper of a private entrepreneur, member of a joint undertaking or co-operative and is contributing to the business by his own work free of charge, though as a member of the household of the supported person he/she will benefit from the undertaking.<br /><br />The entry is "causal hand, day laborer" in case of persons working with or without an entrepreneur's license usually on a short-term agreement for somebody (e.g. agricultural day labor, cleaning the roads, unskilled work in a construction, etc.). The causal hand -- depending on the agreement with the employer -- either is working for a given period of time (for a day, a week, etc.) or undertakes to carry on a definite work (e.g. dig a given parcel, painting the fence, etc.). The persons who in the farm of an ad hoc assignment (not as entrepreneurs) undertake the completion of an intellectual work (e.g. translation of a study, delivering a lecture, etc.) are regarded also as causal hands.<br /><br />The entry is "worker for public utility" in case the person is employed by the local government in the frame of the public utility program.<br /></svar> Hungary 2001: Employed persons [discrepancies: type I trace, type II none] This variable indicates the person's status in employment. 1 Employee 2 Private (own-account) entrepreneur with or without employee 3 Working member of partnership 4 Member of cooperative 5 Unpaid helping family worker 6 Occasional worker, day laborer 7 Worker of public utility 9 NIU (not in universe) Work Variables -- PERSON Industry, branch of economy <svar v="HU01A418 HU01A419 HU01A420 HU01A421 HU01A422 HU01A430"><span class="em">Only for those who marked answers 10-11 in question 13</span><br />[Questions 15.1 through 18.2 were asked of those who marked answers 10-11 in question 13.]<br /></svar></p> <p><svar v="HU01A421" a="all">17.1 Your employer's name<br /><div class="i1">____ Name<br />____ Main activity<br />____ Address</div><br /><br />17.2 Name of your workplace<br /><div class="i1">____ Name<br />____ Main activity</div><br /></svar></p> <p><svar v="HU01A421">17.1 You have to fill in the registered name, main activity and address of the enterprise or organization at which you carry on your occupation in question 15.1.<br /><br />17.2 Fill in your enterprise or organization workplace where you actually work (factory, shop, office, etc.)<br /></svar> <span class="em">Question 17.1: Employer's</span></p> <p><span class="em">Name?</span> <br />The entry is the official denomination of the business organization (undertaking, enterprise, social security establishment, non-profit organization, etc.) where the enumerated person (as employee or working member of the undertaking) works, which is marked in question 15.1 as the person's employer.</p> <p>In cases of professional and civilian members, civil servants working for the armed forces -- with the exemption of the elected and nominated civil servants of the Ministry of Defense -- the entry are always "armed forces" and the questions relating to the main activity of the employer and to the actual address will not be answered.</p> <p>In case of professional and civilian members, civil servants working for the security services (police, professional fire service of the municipalities, civilian security services, detention services, excise and duty offices) -- with the exemption of the elected and nominated civil servants of the Ministry of Interior -- the entry is always "security services" and the questions relating to the main activity of the employer and to the actual address will not be answered. <br />The elected and nominated employees of the Ministry of Defence and Ministry of Interior respectively should mark the respective ministry as employer. In cases of the persons in civilian security service the workplace is the one where the given person fulfils his/her duties. <br />In cases of private entrepreneurs and their family helpers, the proper entry is the description of the activity of the person (e.g. repairing motorcars as private entrepreneur). <br />In cases of persons working for a private household (e.g. as domestic help), it is sufficient to mark "private household" and the question 17.2 (main activity and exact address of the employer) will not be answered.</p> <p>In cases of institutions in the authority of the local municipalities (schools, health organizations, etc.), the employer instead of the mayor's office is the appropriate establishment (school, hospital etc.).</p> <p><span class="em">Main activity?</span> <br />The main activity of the employer marked above is the business/production activity which ensures the highest revenue or in which activities the majority of the staff members are employed. <br />The main activity of the employer should be marked even in case the denomination of the company indicates it. Hungary 2001: Employed persons [discrepancies: type I trace, type II none] This variable indicates the industry of the person's main economic activity: the product or service created. The ISIC classification is used. 00 NIU (not in universe) 01 Agriculture, hunting, forestry and fishing 02 Forestry, logging and related activities 05 Fishing 10 Mining of coal and lignite 11 Extraction of crude petroleum and natural gas 13 Mining of metal ores 14 Other mining and quarrying 15 Manufacturing of food products and beverages 16 Manufacture of tobacco products 17 Manufacture of textiles 18 Manufacture of wearing apparel 19 Tanning and dressing of leather 20 Manufacture of wood and wood, products, except furniture 21 Manufacture of paper and paper products 22 Publishing, printing, and reproduction of recorded media 23 Manufacture of coke, refined petroleum products and nuclear fuel 24 Manufacture of chemicals 25 Manufacture of rubber and plastic products 26 Manufacture of other non-metallic mineral products 27 Manufacture of basic metals 28 Manufacture of fabricated metal products, except machinery 29 Manufacture of machinery and equipment, nec 30 Manufacture of office machinery 31 Manufacture of electrical machinery, nec 32 Manufacture of communication equipment 33 Manufacture of medical, precision instruments, watches 34 Manufacture of motor vehicles and trailers 35 Manufacture of other transport equipment 36 Manufacture of furniture, nec 37 Recycling 40 Electricity, gas, steam, hot-water supply 41 Collection, purification, distribution of water 45 Construction 50 Sale and maintenance of motor vehicles 51 Wholesale and commission trade, except motor vehicles 52 Retail trade, except motor vehicles and repair of household goods 55 Hotels and restaurants 60 Land transport, pipelines 61 Water transport 62 Air transport 63 Supporting transport activities; travel agents 64 Post and telecommunications 65 Financial intermediation, except insurance and pensions 66 Insurance and pension funding, except social security 67 Activities auxiliary to financial intermediation 70 Real estate activities 71 Renting of machinery and equipment 72 Computer and related activities 73 Research and development 74 Other business activities 75 Public administration and defense 80 Education 85 Health and social work 90 Sewage and refuse disposal 91 Activities and membership organizations, nec 92 Recreational, cultural and sporting activities 93 Other service activities 95 Private households with employed persons 99 Extra-territorial organizations and bodies Work: Industry Variables -- PERSON Number of employees of employer <svar v="HU01A418 HU01A419 HU01A420 HU01A421 HU01A422 HU01A430"><span class="em">Only for those who marked answers 10-11 in question 13</span><br />[Questions 15.1 through 18.2 were asked of those who marked answers 10-11 in question 13.]<br /></svar></p> <p><svar v="HU01A422" a="all">15.2 Do you have employees?<br /><div class="i1">[] 0 No<br />[] Yes, number of employees:</div><br /><div class="i2">[] 1 1-2 person(s)<br />[] 2 3-9 persons<br />[] 3 10-19 persons<br />[] 4 20 or more persons</div><br /></svar></p> <p><svar v="HU01A422">17.4 How many persons, including you, are employed at your workplace?<br /><div class="i1">[] 1 Less than 10<br />[] 2 10-19<br />[] 3 20 or more<br />[] 4 Don't know</div><br /></svar> <svar v="HU01A422" a="all"><span class="em">Question 15.2: Do you have subordinated workers?</span><br /><br />The answer should be answered by everybody not only by those working in managerial positions. The subordinated workers of a person are those laborers who are directly guided, managed by him, irrespective of the right of the. The private entrepreneurs should give the number of their employees.<br /></svar></p> <p><svar v="HU01A422"><span class="em">Question 17.4: How many persons, including you, are employed at your workplace?</span><br /><br />It should be anticipated that the enumerated person does not know the exact size of the working staff. Nevertheless it is requested to clarify the number of persons working together. This has importance mainly in case of the managers and entrepreneurs because this information will be taken into account in classifying the former categories. The answer "does not know" will be accepted only in case the enumerated person is not able to give even a rough estimate on the size of staff.<br /></svar> Hungary 2001: Employed persons [discrepancies: type I trace, type II none] This variable indicates the number of employees employed in the person's workplace. 1 Less than 10 2 10 to 19 3 20 or more 4 Did not know 9 NIU (not in universe) Work Variables -- PERSON Seeking job <svar v="HU01A423 HU01A424"><span class="em">Only for those who did not mark answers 10-11 in question 13</span><br />[Questions 19.1 through 19.3 asked of those who did <span class="ital">not </span>mark 10-11 in question 13.]<br /></svar></p> <p><svar v="HU01A423" a="all">19.1 Are you looking for a job?<br /><div class="i1">[] 1 Yes<br />[] 2 No, because you think you would not find a suitable job (Skip to 20)<br />[] 3 No, for other reasons (Skip to 20)</div><br /></svar></p> <p><svar v="HU01A423">19.1 You may answer the question as Yes, only if you were actively looking for a job within the last 4 weeks.<br /></svar> <svar v="HU01A423" a="all"><span class="em">Question 19.1: Are you looking for a job?</span><br /><br />The answer "yes" can be marked only in the four weeks preceding the reference date of the census the enumerated person had been actively looking for a job, that is he/she had been contacted the Labor office for having a job, contacted at least one private labor office with the same intent, had placed a respective advertisement in a publication, had answered to an offer, asked the relatives for helping him in finding some work or have made steps for commencing a private business.<br /><br />If none of the former action had been made by the enumerated person or his/her actions have been made earlier than that, he/she will be asked whether further actions had been stopped due to hopelessness or for other reasons. The answer given should be marked.<br />In case the enumerated person -- due to any reasons -- is not looking for a job, the answers 19.2 and 19.3 will be skipped.<br /></svar> Hungary 2001: Unemployed persons [discrepancies: none] This variable indicates whether a person has been looking for a job. 1 Yes 2 No, because of no chance to find appropriate job 3 No, because of any other reason 9 NIU (not in universe) Work Variables -- PERSON Months seeking job <svar v="HU01A423 HU01A424"><span class="em">Only for those who did not mark answers 10-11 in question 13</span><br />[Questions 19.1 through 19.3 asked of those who did <span class="ital">not </span>mark 10-11 in question 13.]<br /></svar></p> <p><svar v="HU01A424" a="all">19.3 How long have you been looking for a job?<br /><div class="i1">[] 0 Less than a month<br />[] Months _ _</div><br /></svar> <svar v="HU01A424" a="all"><span class="em">Question 19.3: How long have you been looking for a job?</span><br /><br />While answering the question, the effective length of time for looking for a job should be marked.<br />Use the date that person first starts looking for a job, not the date of registration as employment seeker.<br /></svar> Hungary 2001: Persons seeking job [discrepancies: none] This variable indicates the number of months the person has been seeking job. 000 Less than one month 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 40 042 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 66 068 68 070 70 072 72 073 73 074 74 075 75 080 80 082 82 084 84 085 85 086 86 087 87 090 90 092 92 094 94 095 95 096 96 097 97 098 98 099 99 or more 998 Unknown 999 NIU (not in universe) Work Variables -- PERSON Year of ending last job <svar v="HU01A425"><span class="em">Only for those who marked any of the answers 20-81 in question 13.</span><br /></svar></p> <p><svar v="HU01A425" a="all">20.1 When did you finish your last job?<br /><div class="i1">[] 0 Never worked (Skip to 21)<br />[] Year _ _ _ _</div><br /></svar> <svar v="HU01A425 HU01A426 HU01A427 HU01A428 HU01A429">In answering this question only the work performed regularly (at least for 2-3 weeks) will be taken into account.<br /><br />The precondition of receiving childcare allowance, allowance for upbringing the child(ren), pension, rent on own right, unemployment benefit, regular social support and similar transfers previous work, employment is required. The persons in questions -- with some very limited exemptions -- have had been active earners. The question relates to the active period preceding the given persons receive the allowances, rents, payments mentioned above.<br /><br />In case of persons working only during the school-year holidays or working occasionally or who have never worked, the further sub-questions will be skipped.<br /></svar></p> <p><svar v="HU01A425" a="all"><span class="em">Question 20.1: When did you finish your last job?</span><br /><br />The year of the termination of the job before pension or unemployment should be recorded. In case of the pensioners who continued their former job while receiving the pension, the date of the first pension transfer should be marked.<br /></svar> Hungary 2001: Persons not currently employed [discrepancies: type I 0.6%, type II none ] This variable indicates the year when the person's last job ended. 0000 Never worked 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1913 1913 1915 1915 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 9998 Unknown 9999 NIU (not in universe) Work Variables -- PERSON Travel to work <svar v="HU01A426 HU01A427" a="all">21.1 Do you have to travel daily to work or school?<br /><div class="i1">To work:</div><br /><div class="i2">[] 0 No<br />[] 1 Yes</div><br /><div class="i1">To school:</div><br /><div class="i2">[] 0 No<br />[] 1 Yes</div><br /></svar> <svar v="HU01A425 HU01A426 HU01A427 HU01A428 HU01A429">In answering this question only the work performed regularly (at least for 2-3 weeks) will be taken into account.<br /><br />The precondition of receiving childcare allowance, allowance for upbringing the child(ren), pension, rent on own right, unemployment benefit, regular social support and similar transfers previous work, employment is required. The persons in questions -- with some very limited exemptions -- have had been active earners. The question relates to the active period preceding the given persons receive the allowances, rents, payments mentioned above.<br /><br />In case of persons working only during the school-year holidays or working occasionally or who have never worked, the further sub-questions will be skipped.<br /></svar></p> <p><svar v="HU01A426 HU01A427" a="all"><span class="em">Question 21.1: Do you have to travel daily to work or school?</span><br /><br />The questions relates to the daily travel for work and into school.<br /><br />If a person is not obliged to travel daily for work or for conducting studies, the questions 21.2 and 21.3 should not be answered.<br /></svar> Hungary 2001: All persons This variable indicates whether the person has to travel daily to work. 1 No 2 Yes Work Variables -- PERSON Travel to school <svar v="HU01A426 HU01A427" a="all">21.1 Do you have to travel daily to work or school?<br /><div class="i1">To work:</div><br /><div class="i2">[] 0 No<br />[] 1 Yes</div><br /><div class="i1">To school:</div><br /><div class="i2">[] 0 No<br />[] 1 Yes</div><br /></svar> <svar v="HU01A425 HU01A426 HU01A427 HU01A428 HU01A429">In answering this question only the work performed regularly (at least for 2-3 weeks) will be taken into account.<br /><br />The precondition of receiving childcare allowance, allowance for upbringing the child(ren), pension, rent on own right, unemployment benefit, regular social support and similar transfers previous work, employment is required. The persons in questions -- with some very limited exemptions -- have had been active earners. The question relates to the active period preceding the given persons receive the allowances, rents, payments mentioned above.<br /><br />In case of persons working only during the school-year holidays or working occasionally or who have never worked, the further sub-questions will be skipped.<br /></svar></p> <p><svar v="HU01A426 HU01A427" a="all"><span class="em">Question 21.1: Do you have to travel daily to work or school?</span><br /><br />The questions relates to the daily travel for work and into school.<br /><br />If a person is not obliged to travel daily for work or for conducting studies, the questions 21.2 and 21.3 should not be answered.<br /></svar> Hungary 2001: All persons This variable indicates whether the person has to travel daily to school. 1 No 2 Yes Education Variables -- PERSON Duration of daily journey to work <svar v="HU01A428 HU01A429" a="all">21.3 How much time does the journey to work or school usually take (including the way back home and waiting)?<br /><div class="i1">To work:</div><br /><div class="i2">_ _ _ Minutes</div><br /><div class="i1">To school:</div><br /><div class="i2">_ _ _ Minutes</div><br /></svar> <svar v="HU01A425 HU01A426 HU01A427 HU01A428 HU01A429">In answering this question only the work performed regularly (at least for 2-3 weeks) will be taken into account.<br /><br />The precondition of receiving childcare allowance, allowance for upbringing the child(ren), pension, rent on own right, unemployment benefit, regular social support and similar transfers previous work, employment is required. The persons in questions -- with some very limited exemptions -- have had been active earners. The question relates to the active period preceding the given persons receive the allowances, rents, payments mentioned above.<br /><br />In case of persons working only during the school-year holidays or working occasionally or who have never worked, the further sub-questions will be skipped.<br /></svar></p> <p><svar v="HU01A428 HU01A429" a="all"><span class="em">Question 21.3: How much time does the journey to work or school take usually (including the way back home and waiting)?</span><br /><br />The enumerated person should give in the answer the daily duration of the travel to and from his/her home and workplace/school. The time spent for reaching the public transport by foot and back as well as the time spent for waiting for the transportation means should be taken into account, while the time for shopping, entertainment, etc. must be disregarded.<br /><br />In cases of persons working in the dwelling, at home, and part-time students (not visiting the school daily), no answer will be marked.<br /></svar> Hungary 2001: Persons who travel to work [discrepancies: type I 1.5%, type II none] This variable indicates the length of commute to work. 0 NIU (not in universe) 1 Less than 30 minutes 2 31-60 minutes 3 61-90 minutes 4 91-120 minutes 5 More than 2 hours 9 Unknown Work Variables -- PERSON Duration of daily journey to school <svar v="HU01A428 HU01A429" a="all">21.3 How much time does the journey to work or school usually take (including the way back home and waiting)?<br /><div class="i1">To work:</div><br /><div class="i2">_ _ _ Minutes</div><br /><div class="i1">To school:</div><br /><div class="i2">_ _ _ Minutes</div><br /></svar> <svar v="HU01A425 HU01A426 HU01A427 HU01A428 HU01A429">In answering this question only the work performed regularly (at least for 2-3 weeks) will be taken into account.<br /><br />The precondition of receiving childcare allowance, allowance for upbringing the child(ren), pension, rent on own right, unemployment benefit, regular social support and similar transfers previous work, employment is required. The persons in questions -- with some very limited exemptions -- have had been active earners. The question relates to the active period preceding the given persons receive the allowances, rents, payments mentioned above.<br /><br />In case of persons working only during the school-year holidays or working occasionally or who have never worked, the further sub-questions will be skipped.<br /></svar></p> <p><svar v="HU01A428 HU01A429" a="all"><span class="em">Question 21.3: How much time does the journey to work or school take usually (including the way back home and waiting)?</span><br /><br />The enumerated person should give in the answer the daily duration of the travel to and from his/her home and workplace/school. The time spent for reaching the public transport by foot and back as well as the time spent for waiting for the transportation means should be taken into account, while the time for shopping, entertainment, etc. must be disregarded.<br /><br />In cases of persons working in the dwelling, at home, and part-time students (not visiting the school daily), no answer will be marked.<br /></svar> Hungary 2001: Persons with daily journey to school [discrepancies: type I 1.1%, type II none] This variable indicates the length of commute to school. 0 NIU (not in universe) 1 Less than 30 minutes 2 31-60 minutes 3 61-90 minutes 4 91-120 minutes 5 More than 2 hours 9 Unknown Other Person Variables -- PERSON Works or studies in locality of residence <svar v="HU01A430" a="all">12.3 In case you attend any of the schools above, in which locality or district is the school?<br /><div class="i1">[] 1 In the locality (district) of the enumeration<br />[] Other:</div><br /><div class="i2">____ Name of city or locality<br />____ District</div><br /></svar></p> <p><svar v="HU01A418 HU01A419 HU01A420 HU01A421 HU01A422 HU01A430"><span class="em">Only for those who marked answers 10-11 in question 13</span><br />[Questions 15.1 through 18.2 were asked of those who marked answers 10-11 in question 13.]<br /></svar></p> <p><svar v="HU01A430">17.3 In which locality is your workplace?<br /><div class="i1">[] 1 Same as the place of enumeration<br />[] 2 Varying<br />[] Other:<br />____ Name of city or locality<br />____ District</div><br /></svar></p> <p><svar v="HU01A416 HU01A430">12.1--12.6. All educational qualifications have to be taken into account. It is not enough if you give the highest level one only. You must not write in courses. You must not make difference between qualifications obtained via regular or non-regular form of education (evening or mail course, distance teaching, private).<br /></svar> <svar v="HU01A430" a="all"><span class="em">Question 12.3: If you attend any of the schools above, indicate the locality or district where the school is :</span><br /><br />The entry is the name of locality where the person in question is going to school, for consultation that is the school which is marked by the enumerated person in question 12.2. In case somebody simultaneously is visiting two educational establishments in two different localities (in Budapest the districts should be taken into account too), the one being on a longer distance from the dwelling will be marked.<br /><br />The entry is "in the locality (in Budapest also the district) of domicile" in case the school is in the same locality (in Budapest district) as the dwelling where the enumerated person lives.<br />E.g.: in case somebody is visiting the Budapest faculty of the University of the Town of Eger than the respective district of the capital will be marked as locality of the school.<br /></svar></p> <p><svar v="HU01A430"><span class="em">Question 17.3: In which locality is your workplace?</span><br /><br />The answer is the name of the locality (in Budapest also the district) where the enumerated person is working in his profession activity marked in question 15.1. In case of persons working abroad, the entry of the country of the workplace is sufficient.<br /><br />In case of persons working for the Hungarian railways or for other transportation companies as traveling staff, the place of work is in the locality where they get the daily instructions from the employer.<br /><br />The entry is not fixed, working in different localities" in case the work is performed not in a single locality and the enumerated, person is obliged to work regularly in different localities.<br />If a person is working at home, in the building of his dwelling or in a workshop on the parcel of the building, etc. the name of the locality of the workplace is the same as that of the dwelling.<br /><br />The name of the locality of the workplace should be marked only in case where it is different from the place of enumeration. In the former case, the respective answer "same as the locality of enumeration" should be underlined. If the person is living and working in Budapest, the answer can be underlined only in case the dwelling and the place of work are in the same district.<br /></svar> Hungary 2001: All persons This variable indicates whether a person works or studies in his locality of residence. 1 Working in the locality of residence 2 Studying in the locality of residence 3 Neither working nor studying in locality of residence Work Variables -- PERSON Relationship to household head <svar v="HU01A403 HU01A413 HU01A415 HU01A431 HU01A412" a="all">The person's marital status (CSLAS) and role in the family (household)<br /><div class="i1">[] 1 Husband, wife<br />[] 2 Partner in life<br />[] 3 Lone father, mother<br />[] 4 Child<br />[] 5 Ancestry<br />[] 6 Other relative<br />[] 7 Child under state care<br />[] 8 Non-relative<br />[] 9 Single</div><br /></svar> <svar v="HU01A403 HU01A413 HU01A415 HU01A431" a="all"><span class="em">What is the position of the person in the family? Family status?</span><br /><ul class="b1"> <li>One of the answers will be underlined; only one answer must be marked:</li> <li>Husband, wife: legally married male and female living in a common household;</li> <li>Partner in life: consensual partner, male and female living together without legal marriage, forming a household;</li> <li>Father,mother: male or female living in a family with the children and without spouse;</li> <li>Child irrespective of the age, marital status and the source of livelihood the child (adopted, foster-child, including child born outside marriage) of the husband, wife, consensual partner, or father or mother provided he/she does not form an independent household;</li> <li>Ascending partner father or mother, grandparent, grand-grandparent, father-in-law, mother-in-law if living in the household without spouse or child (e.g. the father or mother of one of the spouses, couple living with one of the grandparents);</li> <li>Other relative is the person other than descried above, living in the given household, relative of at lest one f the members of the household, not forming a family (e.g. sibling of one of the married couple, aunt, uncle, one of the grandparents with his grandson);</li> <li>Child under state care living in the family is the child placed at the given family by the Children's Protection Authority (for temporarily or permanently and not adopted). In this cases the family receives a cash contribution financing the upbringing clothing and training of the child;</li> <li>Non-relative: non-relative persons living with the family (e.g. domestic help, person supported upon life-contract) as well as the non-relative person living together in a household not incorporating any family nucleus, with other persons (e.g. friend);</li> <li>Lone person is the person living alone in a separate household.</li> </ul><br /></svar> Hungary 2001: All persons This variable indicates the person's relationship to the household head. 1 Head 2 Husband, wife 3 Consensual (cohabiting) partner 4 Father, mother 5 Child 6 Other 8 Person living alone 9 Unknown: person not in the first family within the household Demographic Variables -- PERSON Family number within household Hungary 2001: All persons This variable indicates the family number within the household. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 Technical Person Variables -- PERSON