Population Census 1987, Federal Republic Germany DDI_DEU_1987_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 1987, Federal Republic Germany - IPUMS Subset PHC de1987a (IPUMS Harmonized Subset) DEU_1987_PHC_v01_M_v7.6_A_IPUMS Federal Statistical Office (Statistisches Bundesamt) IPUMS (c) Copyright 1987, Federal Statistical Office (Statistisches Bundesamt) and Minnesota Population Center Federal Statistical Office (Statistisches Bundesamt) 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 Geography: Global Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Education Variables -- PERSON Utilities Variables -- HOUSEHOLD Geography: F-N Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Income Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Constructed Household Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Ethnicity and Language Variables -- PERSON Other Household Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Technical Person Variables -- PERSON Demographic Variables -- PERSON Ethnicity and Language Variables -- PERSON Nativity and Birthplace Variables -- PERSON Other Person Variables -- PERSON Work Variables -- PERSON Education Variables -- PERSON Work: Industry Variables -- PERSON Work: Occupation Variables -- PERSON Migration: Global Variables -- PERSON May 25, 1987 Germany State Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: No - Households: yes - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: Accommodations/rooms - Households: A household comprises all persons living and keeping house together. Persons keeping house alone are regarded as separate households. Persons having more than one dwelling will be allocated to a household in each dwelling. - Group quarters: All individual persons in community residences that do not keep house for themselves compose a collective household. Total population entitled to reside in households Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Germany 1987 (West) Note: West Germany MICRODATA SOURCE: Federal Statistical Office (Statistisches Bundesamt) SAMPLE SIZE (person records): 3160224. SAMPLE DESIGN: 5% sample of households drawn by the Federal Statistical Office. Sample method unknown Face-to-face [f2f] There are 2 forms: (1) dwelling questionnaire which contains question relating to building characteristics; and (2) personal questionnaire which contains questions about individual characteristics de jure, CENSUS DAY: May 25, 1987 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. Federal Statistical Office (Statistisches Bundesamt) 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: Germany, Federal Statistical Office (Statistisches Bundesamt). Population Census 1987, Federal Republic Germany 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 de1987a, 2025 DEU1987_PHC-H-H.dat Household records 1,348,896 ascii Minnesota Population Center Version 7.5, IPUMS sample DEU1987_PHC-P-H.dat Person records 3160224 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 1st subnational geographic level, world [consistent boundaries over time] GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV1 is a 6-digit numeric variable. GEOLEV1 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO1_BR. Geography: Global Variables -- HOUSEHOLD Nomenclature of Territorial Units for Statistics 1, Europe ENUTS1 identifies the Nomenclature of Territorial Units for Statistics (NUTS) within Europe in which the household was enumerated. NUTS1 is the first level territorial units within countries. NUTS is a standard administrative division of the European Union, and was developed by the EU. The European Free Trade Association extends the NUTS system to several additional countries outside of the EU, and they are also incorporated into this variable. ENUTS1 corresponds to the 2010 version of NUTS1 released by Eurostat. IPUMS has added ENUTS1_2013 for the more recent samples. ENUTS1_2013 is an amendment to the annexes to the ENUTS1 classification. The last 2-digits of the ENUTS1 variable provide the NUTS1 code. The labels include the standard code for the NUTS1 system and the name of the NUTS1 region, separated by a slash. Smaller sub-national units are available for most countries in ENUTS2 and ENUTS3. The full set of geography variables for the countries can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. 0101 AT1 / Ostösterreich 0102 AT2 / Südösterreich 0103 AT3 / Westösterreich 0601 DE1 / Baden-Württemberg 0602 DE2 / Bayern 0603 DE3 / Berlin 0604 DE4 / Brandenburg 0605 DE5 / Bremen 0606 DE6 / Hamburg 0607 DE7 / Hessen 0608 DE8 / Mecklenburg-Vorpommern 0609 DE9 / Niedersachsen 0610 DEA / Nordrhein-Westfalen 0611 DEB / Rheinland-Pfalz 0612 DEC / Saarland 0613 DED / Sachsen 0614 DEE / Sachsen-Anhalt 0615 DEF / Schleswig-Holstein 0616 DEG / Thüringen 0901 ES1 / Noroeste 0902 ES2 / Noreste 0903 ES3 / Comunidad de Madrid 0904 ES4 / Centro (E) 0905 ES5 / Este 0906 ES6 / Sur 0907 ES7 / Canarias 0909 ES / Unknown 1101 FR1 / Île de France 1102 FR2 / Bassin Parisien 1103 FR3 / Nord - Pas-de-Calais 1104 FR4 / Est 1105 FR5 / Ouest 1106 FR6 / Sud-Ouest 1107 FR7 / Centre-Est 1108 FR8 / Méditerranée 1109 FR9 / Département d’Outre-Mer 1199 FR99 / Unknown 1201 EL1 / Voreia Ellada 1202 EL2 / Kentriki Ellada 1203 EL3 / Attiki 1204 EL4 / Nisia Aigaiou, Kriti 1400 IE0 / Republic of Ireland 1503 ITC / Nord-Ovest 1506 ITF / Sud 1507 ITG / Isole 1508 ITH / Nord-Est 1509 ITI / Centro 2101 PL1 / Centralny 2102 PL2 / Południowy 2103 PL3 / Wschodni 2104 PL4 / Północno-zachodni 2105 PL5 / Południowo-zachodni 2106 PL6 / Północny 2201 PT1 / Continente 2202 PT2 / Região Autónoma dos Açores 2203 PT3 / Região Autónoma da Madeira 2301 RO1 / Macroregiunea Unu 2302 RO2 / Macroregiunea Doi 2303 RO3 / Macroregiunea Trei 2304 RO4 / Macroregiunea Patru 2501 SI0 / Slovenia 2600 SK0 / Slovensko 2701 UKC / North East (England) 2702 UKD / North West (England) 2703 UKE / Yorkshire and the Humber (England) 2704 UKF / East Midlands (England) 2705 UKG / West Midlands (England) 2706 UKH / East of England (England) 2707 UKI / LONDON (England) 2708 UKJ / South East (England) 2709 UKK / South West (England) 2710 UKL / WALES 2711 UKM / SCOTLAND 2712 UKN / NORTHERN IRELAND 3400 CH0/Switzerland 3901 TR1 / Istanbul 3902 TR2 / Bati Marmara 3903 TR3 / Ege 3904 TR4 / Dogu Marmara 3905 TR5 / Bati Anadolu 3906 TR6 / Akdeniz 3907 TR7 / Orta Anadolu 3908 TR8 / Bati Karadeniz 3909 TR9 / Dogu Karadeniz 3911 TRA / Kuzeydogu Anadolu 3912 TRB / Ortadogu Anadolu 3913 TRC / Güneydogu Anadolu 9999 UNKNOWN Geography: Global Variables -- HOUSEHOLD Population density of GEOLEV1 unit, in persons per square kilometer POPDENSGEO1 indicates the population density in persons per square kilometer of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO1 is an 8-digit numeric variable listing the population density in persons per square kilometer. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Area of GEOLEV1 unit in square kilometers AREAMOLLWGEO1 indicates the area in square kilometers of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO1 is a 10-digit numeric variable listing the area in square kilometers. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Germany, State 1970 - 1987 [Level 1; consistent boundaries, GIS] GEO1_DE identifies the household's state within Germany in all sample years. States are the first level administrative units of the country. GEO1_DE is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO1_DE can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Germany can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. 276001 Schleswig-Holstein 276002 Hamburg 276003 Niedersachsen 276004 Bremen 276005 Nordrhein-Westfalen 276006 Hessen 276007 Rheinland-Pfalz 276008 Baden-Württemberg 276009 Bayern 276010 Saarland 276011 West Berlin 276012 Brandenburg 276013 Mecklenburg-West Pomerania 276014 Saxony 276015 Saxony-Anhalt 276016 Thuringia 276017 East Berlin Geography: F-N Variables -- HOUSEHOLD Germany, State 1987 [Level 1, GIS] GEO1_DE1987 identifies the household’s state within Germany in 1987. States are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_DE1987 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Germany can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. 001 Schleswig-Holstein 002 Hamburg 003 Lower Saxony 004 Bremen 005 North Rhine-Westphalia 006 Hesse 007 Rhineland-Palatinate 008 Baden-Württemberg 009 Bavaria 010 Saarland 011 Berlin (West) 097 East Germany Geography: F-N 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 Fuel for heating FUELHEAT indicates the main fuel source for heating the household. 00 NIU (not in universe) 01 None 02 Electricity 03 Fuel oil, kerosene, other liquid fuels 04 Kerosene/paraffin 05 Diesel 06 Gas 07 Bottled gas, in tank, liquified 08 Solid fuel 09 Coal 10 Wood 11 Wood or coal 12 Solar 13 Animal dung 14 Charcoal 15 Biofuel 16 Other 17 Multiple sources 99 Unknown Utilities Variables -- HOUSEHOLD Central heating HEAT indicates the type of heating in the dwelling: individual or collective central heating, non-central heating, or none. 0 NIU (not in universe) 1 No heating 2 Central heating, not specified 3 Collective central heating 4 Individual central heating 5 Other heating, not central 6 Heating, unspecified 7 No central heating/heating unknown 9 Unknown Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of rooms ROOMS indicates the number of rooms occupied by the housing unit. 00 Part of a room; no rooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Kitchen or cooking facilities KITCHEN indicates whether the household had a kitchen, cooking facilities, or room dedicated to food preparation. 00 NIU (not in universe) 10 No kitchen 11 Food is prepared in a non-kitchen room 13 Does not prepare food in the dwelling 20 Yes, have a kitchen 21 Kitchen located inside the dwelling 22 Indoor kitchen, exclusive use 23 Indoor kitchen, shared use 24 Exclusive use of kitchen (indoor/outdoor status not specified) 25 Shared use of kitchen with another household (indoor/outdoor status not specified) 26 Kitchen located outside the dwelling 27 Outdoor kitchen, exclusive use 28 Outdoor kitchen, shared use 99 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Toilet TOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation. 00 NIU (not in universe) 10 No toilet 11 No flush toilet 20 Have toilet, type not specified 21 Flush toilet 22 Non-flush, latrine 23 Non-flush, other and unspecified 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD 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 AGESTRUCT1 reports the estimated age of the structure in which the household resided. 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 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 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 Dwelling number Germany 1987: All households This variable indicates the dwelling number. This is a 7-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Number of persons in household Germany 1987: All households This variable indicates the number of persons in the household. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 Technical Household Variables -- HOUSEHOLD Dwelling created by splitting apart a large dwelling or household Germany 1987: All households This variable indicates whether dwelling is 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 Number of persons in large household before it was split Germany 1987: All households This variable indicates the number of persons in large household before it was split. 000 Not split 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 45 047 47 048 48 049 49 050 50 053 53 056 56 059 59 062 62 063 63 065 65 067 67 080 80 116 116 Technical Household Variables -- HOUSEHOLD Sequence number of the building in regional list (new numbered) Germany 1987: All households This variable indicates the sequence number of the building in regional list (new numbered). 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 Technical Household Variables -- HOUSEHOLD Sequence number of the dwelling in building (new numbered) Germany 1987: All households This variable indicates the sequence number of the dwelling in building (new numbered). 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 Technical Household Variables -- HOUSEHOLD Sequence number of the household in dwelling (new numbered) Germany 1987: All households This variable indicates the sequence number of the household in dwelling (new numbered). 1 1 2 2 3 3 4 4 Technical Household Variables -- HOUSEHOLD Population size of community of residence Germany 1987: All households This variable indicates the population size of the community of residence. 1 Fewer than 5,000 residents 2 5,000 to fewer than 20,000 residents 3 20,000 to fewer than 100,000 residents 4 100,000 to fewer than 500,000 residents 5 500,000 residents or more 6 For North Rhine-Westphalia and Saarland: fewer than 20,000 residents 7 For Saarland: 20,000 residents and more 8 For Berlin (West): 100,000 residents or more 9 For Bremen: 100,000 residents or more Geography: F-N Variables -- HOUSEHOLD Dwelling ownership <svar v="DE87A026 DE87A054"><span class="em">Question 1: Do you occupy the dwelling/rooms as...?</span><br />Households in residential homes mark category b: "Main tenant (including annuitant)", unless they own the dwelling.<br /></svar></p> <p><svar v="DE87A026 DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047 DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on dwelling</span><br /></svar></p> <p><svar v="DE87A026 DE87A054" a="all">1. Do you occupy the dwelling/rooms as:<br /><div class="i1">[] 1 Owner, co-owner or prospective buyer<br />[] 2 Main tenant (including annuitant)<br />[] 3 Sub-tenant</div><br /></svar> Germany 1987: Private dwellings [discrepancies: none] This variable indicates the ownership of the dwelling. 1 Owner, co-owner or prospective buyer 2 Main tenant, including annuitant 3 Sub-tenant 9 NIU (Not in universe) Household Economic Variables -- HOUSEHOLD Dwelling is leisure-time accommodation <svar v="DE87A027 DE87A054 DE87A057 DE87A058"><span class="em">Question 2: Is the dwelling a recreational home?</span><br />A dwelling used as accommodation only during leisure time (e.g. on weekends, during vacation) is referred to as a recreational home. It may be used by the owners themselves, be rented to third parties or rented to third parties free of charge. Renting may be done by the owners or by a hotel or some other organization. Recreational homes may be found in any type of building (e.g. weekend and holiday house, multi-dwelling house).<br /></svar></p> <p><svar v="DE87A026 DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047 DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on dwelling</span><br /></svar></p> <p><svar v="DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047"><span class="em">Subtenants are not required to answer any further questions in the dwelling questionnaire</span><br />[Questions 2-10 were optional for subtenant occupants]<br /></svar></p> <p><svar v="DE87A027 DE87A054 DE87A057 DE87A058" a="DE87A027 DE87A057 DE87A058">2. Is the dwelling a leisure-time accommodation?<br /><div class="i1">[] 1 No<br />[] 2 Yes</div><br /></svar> Germany 1987: Private dwellings occupied by owners or tenants and dormitories with dwelling characterisitcs [discrepancies: none] This variable indicates whether the dwelling is a leisure-time accommodation. 1 No 2 Yes 9 NIU (Not in universe) Other Household Variables -- HOUSEHOLD Year of occupying dwelling <svar v="DE87A026 DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047 DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on dwelling</span><br /></svar></p> <p><svar v="DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047"><span class="em">Subtenants are not required to answer any further questions in the dwelling questionnaire</span><br />[Questions 2-10 were optional for subtenant occupants]<br /></svar></p> <p><svar v="DE87A028" a="all">3. When did the household move into this dwelling?<br /><div class="i1">Please refer to the year when the member of household living here longest first occupied the dwelling.<br /><br />[] 1 Prior to 1970<br />[] 2 1970 to 1974<br />[] 3 1975 to 1979<br />[] 4 1980 to 1984<br />[] 5 1985<br />[] 6 1986<br />[] 7 1987</div><br /></svar> Germany 1987: Private dwellings occupied by owners or tenants and dormitories with dwelling characterisitcs [discrepancies: none] This variable indicates the year(s) during which the dwelling was occupied. 1 Prior to 1970 2 1970 - 1974 3 1975 - 1979 4 1980 - 1984 5 1985 6 1986 7 1987 9 NIU (Not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Kitchen <svar v="DE87A026 DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047 DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on dwelling</span><br /></svar></p> <p><svar v="DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047"><span class="em">Subtenants are not required to answer any further questions in the dwelling questionnaire</span><br />[Questions 2-10 were optional for subtenant occupants]<br /></svar></p> <p><svar v="DE87A029 DE87A030 DE87A031 DE87A032 DE87A063" a="all">4. Are there inside the dwelling:<br /><div class="i1">Several answers are possible<br /><br />[] Kitchen<br />[] Kitchenette<br />[] Bath/shower<br />[] WC</div><br /></svar> Germany 1987: All households This variable indicates whether the household had a kitchen. 1 No, has no kitchen 2 Yes, has kitchen Dwelling Characteristics Variables -- HOUSEHOLD Kitchenette <svar v="DE87A026 DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047 DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on dwelling</span><br /></svar></p> <p><svar v="DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047"><span class="em">Subtenants are not required to answer any further questions in the dwelling questionnaire</span><br />[Questions 2-10 were optional for subtenant occupants]<br /></svar></p> <p><svar v="DE87A029 DE87A030 DE87A031 DE87A032 DE87A063" a="all">4. Are there inside the dwelling:<br /><div class="i1">Several answers are possible<br /><br />[] Kitchen<br />[] Kitchenette<br />[] Bath/shower<br />[] WC</div><br /></svar> Germany 1987: All households This variable indicates whether the household had a kitchenette. 1 No kitchenette 2 Yes, has kitchenette Dwelling Characteristics Variables -- HOUSEHOLD Bath / shower <svar v="DE87A026 DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047 DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on dwelling</span><br /></svar></p> <p><svar v="DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047"><span class="em">Subtenants are not required to answer any further questions in the dwelling questionnaire</span><br />[Questions 2-10 were optional for subtenant occupants]<br /></svar></p> <p><svar v="DE87A029 DE87A030 DE87A031 DE87A032 DE87A063" a="all">4. Are there inside the dwelling:<br /><div class="i1">Several answers are possible<br /><br />[] Kitchen<br />[] Kitchenette<br />[] Bath/shower<br />[] WC</div><br /></svar> Germany 1987: All households This variable indicates whether the household had a bath/shower. 1 No, has no bath/shower 2 Yes, has bath/shower Dwelling Characteristics Variables -- HOUSEHOLD Toilet (furnishing w.c.) <svar v="DE87A026 DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047 DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on dwelling</span><br /></svar></p> <p><svar v="DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047"><span class="em">Subtenants are not required to answer any further questions in the dwelling questionnaire</span><br />[Questions 2-10 were optional for subtenant occupants]<br /></svar></p> <p><svar v="DE87A029 DE87A030 DE87A031 DE87A032 DE87A063" a="all">4. Are there inside the dwelling:<br /><div class="i1">Several answers are possible<br /><br />[] Kitchen<br />[] Kitchenette<br />[] Bath/shower<br />[] WC</div><br /></svar> Germany 1987: All households This variable indicates whether the household had a toilet (furnishing W.C). 1 No, has no W.C. 2 Yes, has W.C. Dwelling Characteristics Variables -- HOUSEHOLD Main heating <svar v="DE87A033 DE87A060"><span class="em">Question 5: Is the dwelling mainly heated by...?</span><br />a) With remote and block heating, the dwellings of several buildings are heated from one central station. Central heating supplies the heat for the dwellings of one building only. With floor heating, the rooms of one dwelling are heated from a source which serves only the one particular dwelling.<br />b) In case of remote heating, always mark "remote heat."<br /></svar></p> <p><svar v="DE87A026 DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047 DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on dwelling</span><br /></svar></p> <p><svar v="DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047"><span class="em">Subtenants are not required to answer any further questions in the dwelling questionnaire</span><br />[Questions 2-10 were optional for subtenant occupants]<br /></svar></p> <p><svar v="DE87A033" a="all">5a. Is the dwelling mainly heated by:<br /><div class="i1">[] 1 Remote/block heating<br />[] 2 Central heating<br />[] 3 Floor-heating<br />[] 4 Single/multi-room stoves (also electric storage)</div><br /></svar> Germany 1987: Private dwellings [discrepancies: none] This variable indicates the main heating system within the household. 1 Remote/block heating 2 Central heating 3 Floor heating 4 Single/multi-room stoves (also electric storage) 9 NIU (Not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Gas is used as heating source <svar v="DE87A026 DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047 DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on dwelling</span><br /></svar></p> <p><svar v="DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047"><span class="em">Subtenants are not required to answer any further questions in the dwelling questionnaire</span><br />[Questions 2-10 were optional for subtenant occupants]<br /></svar></p> <p><svar v="DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039" a="all">5b. What kind of fuel, which heating source is being used?<br /><div class="i1">Several answers are possible<br /><br />[] Gas<br />[] Fuel oil<br />[] Electricity<br />[] Coal, wood, etc.<br />[] Remote heat<br />[] Solar cells, heat pump</div><br /></svar> Germany 1987: All households This variable indicates whether the source of heat/fuel was gas. 1 No 2 Yes Utilities Variables -- HOUSEHOLD Fuel oil is used as heating source <svar v="DE87A026 DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047 DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on dwelling</span><br /></svar></p> <p><svar v="DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047"><span class="em">Subtenants are not required to answer any further questions in the dwelling questionnaire</span><br />[Questions 2-10 were optional for subtenant occupants]<br /></svar></p> <p><svar v="DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039" a="all">5b. What kind of fuel, which heating source is being used?<br /><div class="i1">Several answers are possible<br /><br />[] Gas<br />[] Fuel oil<br />[] Electricity<br />[] Coal, wood, etc.<br />[] Remote heat<br />[] Solar cells, heat pump</div><br /></svar> Germany 1987: All households This variable indicates whether the source of heat/fuel was fuel oil. 1 No 2 Yes Utilities Variables -- HOUSEHOLD Electricity is used as heating source <svar v="DE87A026 DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047 DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on dwelling</span><br /></svar></p> <p><svar v="DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047"><span class="em">Subtenants are not required to answer any further questions in the dwelling questionnaire</span><br />[Questions 2-10 were optional for subtenant occupants]<br /></svar></p> <p><svar v="DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039" a="all">5b. What kind of fuel, which heating source is being used?<br /><div class="i1">Several answers are possible<br /><br />[] Gas<br />[] Fuel oil<br />[] Electricity<br />[] Coal, wood, etc.<br />[] Remote heat<br />[] Solar cells, heat pump</div><br /></svar> Germany 1987: All households This variable indicates whether the source of heat/fuel was electricity. 1 No 2 Yes Utilities Variables -- HOUSEHOLD Coal, wood, etc. is used as heating source <svar v="DE87A026 DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047 DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on dwelling</span><br /></svar></p> <p><svar v="DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047"><span class="em">Subtenants are not required to answer any further questions in the dwelling questionnaire</span><br />[Questions 2-10 were optional for subtenant occupants]<br /></svar></p> <p><svar v="DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039" a="all">5b. What kind of fuel, which heating source is being used?<br /><div class="i1">Several answers are possible<br /><br />[] Gas<br />[] Fuel oil<br />[] Electricity<br />[] Coal, wood, etc.<br />[] Remote heat<br />[] Solar cells, heat pump</div><br /></svar> Germany 1987: All households This variable indicates whether the source of heat/fuel was coal, wood, etc. 1 No 2 Yes Utilities Variables -- HOUSEHOLD Remote heating is used as heating source <svar v="DE87A026 DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047 DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on dwelling</span><br /></svar></p> <p><svar v="DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047"><span class="em">Subtenants are not required to answer any further questions in the dwelling questionnaire</span><br />[Questions 2-10 were optional for subtenant occupants]<br /></svar></p> <p><svar v="DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039" a="all">5b. What kind of fuel, which heating source is being used?<br /><div class="i1">Several answers are possible<br /><br />[] Gas<br />[] Fuel oil<br />[] Electricity<br />[] Coal, wood, etc.<br />[] Remote heat<br />[] Solar cells, heat pump</div><br /></svar> Germany 1987: All households This variable indicates whether the source of heat/fuel was remote heating. 1 No 2 Yes Utilities Variables -- HOUSEHOLD Solar energy/geothermal is used as heating source <svar v="DE87A026 DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047 DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on dwelling</span><br /></svar></p> <p><svar v="DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047"><span class="em">Subtenants are not required to answer any further questions in the dwelling questionnaire</span><br />[Questions 2-10 were optional for subtenant occupants]<br /></svar></p> <p><svar v="DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039" a="all">5b. What kind of fuel, which heating source is being used?<br /><div class="i1">Several answers are possible<br /><br />[] Gas<br />[] Fuel oil<br />[] Electricity<br />[] Coal, wood, etc.<br />[] Remote heat<br />[] Solar cells, heat pump</div><br /></svar> Germany 1987: All households This variable indicates whether the source of heat/fuel was solar energy or geothermal. 1 No 2 Yes Utilities Variables -- HOUSEHOLD Number of rooms with at least 6 square meters <svar v="DE87A040 DE87A064"><span class="em">Question 6: How many rooms of the dwelling have at least 6 square meters?</span><br />For the total space of the dwelling, tenants can, as a rule, consult their contract. Rooms under a slanted roof or ceiling are considered to be half of their floor space. Balconies count as a quarter of their floor space. Basements and attics (attic storage space) should be disregarded unless converted into dwelling rooms.<br /></svar></p> <p><svar v="DE87A026 DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047 DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on dwelling</span><br /></svar></p> <p><svar v="DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047"><span class="em">Subtenants are not required to answer any further questions in the dwelling questionnaire</span><br />[Questions 2-10 were optional for subtenant occupants]<br /></svar></p> <p><svar v="DE87A040" a="all">6. How many rooms of the dwelling do at least have 6 square meters? (excluding kitchen, bathroom, WC, corridor/hall)<br /><div class="i1">[] 1<br />[] 2<br />[] 3<br />[] 4<br />[] 5<br />[] 6<br />[] 7<br />[] 8<br />[] 9 or more</div><br /></svar> Germany 1987: Private dwellings [discrepancies: none] This variable indicates the number of rooms with at least 6 square meters. 0 NIU (Not in universe) 1 1 room 2 2 rooms 3 3 rooms 4 4 rooms 5 5 rooms 6 6 rooms 7 7 rooms 8 8 rooms 9 9 or more rooms Dwelling Characteristics Variables -- HOUSEHOLD Number of sublet rooms <svar v="DE87A026 DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047 DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on dwelling</span><br /></svar></p> <p><svar v="DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047"><span class="em">Subtenants are not required to answer any further questions in the dwelling questionnaire</span><br />[Questions 2-10 were optional for subtenant occupants]<br /></svar></p> <p><svar v="DE87A041 DE87A042">If the above include rooms which are sublet or used for commercial purposes:<br /></svar></p> <p><svar v="DE87A041" a="all"><div class="i1">a. Number of rooms sublet:</div><br /><div class="i2">[] 1<br />[] 2<br />[] 3 or more</div><br /></svar> Germany 1987: Private dwellings [discrepancies: type I none; type II 93.6%] This variable indicates the number of sublet rooms. 0 0 1 1 room 2 2 rooms 3 3 or more rooms 9 NIU (Not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of commercially used rooms <svar v="DE87A026 DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047 DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on dwelling</span><br /></svar></p> <p><svar v="DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047"><span class="em">Subtenants are not required to answer any further questions in the dwelling questionnaire</span><br />[Questions 2-10 were optional for subtenant occupants]<br /></svar></p> <p><svar v="DE87A041 DE87A042">If the above include rooms which are sublet or used for commercial purposes:<br /></svar></p> <p><svar v="DE87A042" a="all"><div class="i1">b. Number of commercially used rooms</div><br /><div class="i2">[] 1<br />[] 2<br />[] 3 or more</div><br /></svar> Germany 1987: Private dwellings [discrepancies: Type I none; Type II 96.4%] This variable indicates the number of commercially used rooms. 0 0 1 1 room 2 2 rooms 3 3 or more rooms 9 NIU (Not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Size of dwelling in square meters <svar v="DE87A026 DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047 DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on dwelling</span><br /></svar></p> <p><svar v="DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047"><span class="em">Subtenants are not required to answer any further questions in the dwelling questionnaire</span><br />[Questions 2-10 were optional for subtenant occupants]<br /></svar></p> <p><svar v="DE87A043 DE87A059" a="all">7. What is the total space of the entire dwelling? (including kitchen, bathroom, WC, corridor/hall, garret rooms and the like, as well as sublet or commercially used rooms in the dwelling)<br /><div class="i1">____ full square meters</div><br /></svar> Germany 1987: Private dwellings [discrepancies: none] This variable indicates the size of the dwelling in square meters. 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 99 100 100 101 101 102 102 103 103 104 104 105 105 106 106 107 107 108 108 109 109 110 110 111 111 112 112 113 113 114 114 115 115 116 116 117 117 118 118 119 119 120 120 121 121 122 122 123 123 124 124 125 125 126 126 127 127 128 128 129 129 130 130 131 131 132 132 133 133 134 134 135 135 136 136 137 137 138 138 139 139 140 140 141 141 142 142 143 143 144 144 145 145 146 146 147 147 148 148 149 149 150 150 151 151 152 152 153 153 154 154 155 155 156 156 157 157 158 158 159 159 160 160 161 161 162 162 163 163 164 164 165 165 166 166 167 167 168 168 169 169 170 170 171 171 172 172 173 173 174 174 175 175 176 176 177 177 178 178 179 179 180 180 181 181 182 182 183 183 184 184 185 185 186 186 187 187 188 188 189 189 190 190 200 200 210 210 220 220 230 230 240 240 250 250 260 260 270 270 280 280 290 290 300 300 310 310 320 320 330 330 340 340 350 350 360 360 361 361+ square metres 999 NIU (Not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Dwelling subsidized with funds for publicly assisted housing <svar v="DE87A044"><span class="em">Question 8: Is the dwelling subsidized with budget funds for publicly assisted housing?</span><br />Only dwellings which have been completed after the currency reform (June 20, 1848) and for which public funds (of the Federation, the state or the municipality) were granted for the construction of low-cost dwellings (the so-called primary assistance) are considered as subsidized with budget funds for publicly assisted housing.<br /><br />These include loans to cover the construction costs (as a rule, public building loans, also known as state building loans) and loans or grants to meet current expenditure (assistance in the form of annuities, grants or loans for specific expenditures, the subsidizing of interest charges).<br /><br />For publicly subsidized dwellings new tenants have to submit a housing certificate from the respective municipality or "<span class="lang">Kreis</span>" administration (e.g. housing office, welfare office).<br /><br />If the assistance funds for apartment buildings were paid back ahead of time, most of these dwellings are still considered publicly subsidized for up to 8 years. As far as owner-occupied houses and condominiums are concerned, the public control ends upon repayment or redemption of the assistance funds; in the case of dwellings converted into condominiums, the public control ends only if the owners themselves are using the condominium as persons eligible according to the regulations of publicly assisted housing. On the termination of public control, owners receive a letter of confirmation from the respective agency.<br /><br />Not considered public funds in the above sense are: loans for expenditures according to the regional program of the Federation (the so-called secondary assistance), reconstruction loans according to the Law on the Equalization of Burdens, housing assistance payments for persons employed in public service of the Federation, the states or the communities, means to further the modernization of housing or for measures designed to save heating energy, article 7b depreciation allowances and other tax benefits, premiums on building loan contracts.<br /><br />Main tenants who do not know whether their dwelling was subsidized with budget funds for publicly assisted housing need not answer this question.<br /></svar></p> <p><svar v="DE87A026 DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047 DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on dwelling</span><br /></svar></p> <p><svar v="DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047"><span class="em">Subtenants are not required to answer any further questions in the dwelling questionnaire</span><br />[Questions 2-10 were optional for subtenant occupants]<br /></svar></p> <p><svar v="DE87A044" a="all">8. Is the dwelling subsidized with budget funds for publicly assisted housing?<br /><div class="i1">[] 1 No<br />[] 2 Yes</div><br /></svar> Germany 1987: Private dwellings [discrepancies: none] This variable indicates whether the dwelling was subsidized with funds for publicly assisted housing. 1 No 2 Yes 9 NIU (Not in universe) Household Economic Variables -- HOUSEHOLD Monthly rent (in Deutsche Marks) <svar v="DE87A026 DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047 DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on dwelling</span><br /></svar></p> <p><svar v="DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047"><span class="em">Subtenants are not required to answer any further questions in the dwelling questionnaire</span><br />[Questions 2-10 were optional for subtenant occupants]<br /></svar></p> <p><svar v="DE87A045 DE87A065" a="all">9. How much is the monthly rent?<br /><div class="i1">The rent also comprises the monthly charges for water, sewerage, street cleaning, garbage collection, staircase lighting, chimney sweeping. Not to be included in the rent are amounts charged for central heating, hot water supply, garage rental, extra charge for subletting, extra charge for furnishing.<br /><br />____ full DM</div><br /></svar> Germany 1987: Private dwellings including leisure-time dwellings occupied by tenants [discrepancies: type I none; type II 5.7%] This variable indicates the amount of monthly rent (in Deutsche Marks) of the dwelling. This is a 4-digit numeric variable with 0 implied decimal places Household Economic Variables -- HOUSEHOLD Employer provided dwelling <svar v="DE87A026 DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047 DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on dwelling</span><br /></svar></p> <p><svar v="DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047"><span class="em">Subtenants are not required to answer any further questions in the dwelling questionnaire</span><br />[Questions 2-10 were optional for subtenant occupants]<br /></svar></p> <p><svar v="DE87A046" a="all">10a. Is the present dwelling provided/subsidized by the employer or is it a combined dwelling/office for professional or commercial use and the like?<br /><div class="i1">[] 1 No<br />[] 2 Yes</div><br /></svar> Germany 1987: Private dwellings occupied by tenants [discrepancies: none] This variable indicates whether the dwelling was provided by the employer. 1 No 2 Yes 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Subsidized rent <svar v="DE87A026 DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047 DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on dwelling</span><br /></svar></p> <p><svar v="DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047"><span class="em">Subtenants are not required to answer any further questions in the dwelling questionnaire</span><br />[Questions 2-10 were optional for subtenant occupants]<br /></svar></p> <p><svar v="DE87A047" a="all">10b. Is the dwelling let by the owner at a reduced rate or free of charge, or is the rent reduced because of any advance payments made (e.g. tenant's loan)?<br /><div class="i1">[] 1 No<br />[] 2 Yes</div><br /></svar> Germany 1987: Private dwellings occupied by tenants [discrepancies: none] This variable indicates the amount of subsidized rent. 1 No 2 Yes 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Type of building 1 <svar v="DE87A048 DE87A054"><span class="em">Question 1: Type of building</span><br />Residential buildings are buildings used at least 50% for residential purposes; in other buildings with space used for residential purposes, less than half of the total floor space is used for residential purposes, whereas the largest part serves commercial, social, cultural or administrative purposes.<br /><br />Other types of accommodation are makeshift buildings for temporary use including: barracks, temporary homes, permanently-anchored houseboats, railway construction trains and arbors.<br /><br />Residential homes provide for the housing needs of certain sections of the population, e.g. students and elderly people. A building can be used exclusively as a residential home, such as student dormitories, nursing homes, nurses' dormitories and shelters for mothers and children. There are, however, also buildings that are only partly used as residential homes (e.g. centers for elderly people).<br /></svar></p> <p><svar v="DE87A026 DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047 DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on dwelling</span><br /></svar></p> <p><svar v="DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on building: please complete only if you are the owner or manager of this building</span><br />[Questions 1 to 4 were asked only of the owner or manager of the building]<br /></svar></p> <p><svar v="DE87A048 DE87A054" a="DE87A048">1. Type of building<br /><div class="i1">[] 1 Residential building (building used at least 50% for residential purposes)<br />[] 2 Other building with space used for residential purposes<br />[] 3 Other type of accommodation (e.g., barrack)</div><br /></svar> Germany 1987: Private dwellings [discrepancies: type I trace; type II none] This variable indicates the type of building (i.e. whether it was used for residential purposes). 1 Residential building (used at least 50% for residential purposes) 2 Other building with space used for residential purposes 3 Other types of accommodation 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Degree of residential use <svar v="DE87A026 DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047 DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on dwelling</span><br /></svar></p> <p><svar v="DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on building: please complete only if you are the owner or manager of this building</span><br />[Questions 1 to 4 were asked only of the owner or manager of the building]<br /></svar></p> <p><svar v="DE87A049" a="all">Additionally for residential homes: Is this building being used entirely or in part as a residential home?<br /><div class="i1">[] 1 Entirely<br />[] 2 Partly</div><br /></svar> Germany 1987: Non-residential buildings with space used for residential pruposes [discrepancies: type I 1.2%; type II 2%] This variable indicates the degree of residential use of the building. 1 Completely 2 Partly 8 Unknown 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Ownership of building <svar v="DE87A026 DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047 DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on dwelling</span><br /></svar></p> <p><svar v="DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on building: please complete only if you are the owner or manager of this building</span><br />[Questions 1 to 4 were asked only of the owner or manager of the building]<br /></svar></p> <p><svar v="DE87A050" a="all">2. Who is owner, prospective buyer, beneficiary of a heritable building right in respect of the building?<br /><div class="i1">[] 1 Single person or married couple, community of heir or similar community of persons<br />[] 2 Community of apartment owners (applying to freehold dwellings only)<br />[] 3 Housing association or cooperative, agency of government housing policies<br />[] 4 Private building society<br />[] 5 Other ownership</div><br /></svar> Germany 1987: Private dwellings [discrepancies: type I trace; type II none] This variable indicates the owner of the building. 1 Individual person, couple, association of heirs 2 Association of dwelling owners 3 Housing for public benefit, housing cooperation 4 Independent housing company 5 Other ownership 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Year of construction of building <svar v="DE87A026 DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047 DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on dwelling</span><br /></svar></p> <p><svar v="DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on building: please complete only if you are the owner or manager of this building</span><br />[Questions 1 to 4 were asked only of the owner or manager of the building]<br /></svar></p> <p><svar v="DE87A051" a="all">3. Year of construction (year ready for occupation)<br /><div class="i1">If extensions and conversions were made, the year of original construction is to be indicated. In the case of reconstruction following total loss, state the year of reconstruction.<br /><br />[] Up to 1900<br />[] 1901-1918<br />[] 1919-1948<br />[] 1949-1957<br />[] 1958-1962<br />[] 1963-1987<br /><br />[Years were listed individually between 1963 and 1987, but those are omitted in this version of the form]</div><br /></svar> Germany 1987: Private dwellings [discrepancies: type I trace; type II none] This variable indicates the year of construction of the building. 1900 1900 or earlier 1918 1901 to 1918 1948 1919 to 1948 1957 1949 to 1957 1962 1958 to 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 9999 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Degree of subsidization of dwellings in building with funds for publicly assisted housing <svar v="DE87A052"><span class="em">Question 4: Are dwellings in the building subsidized with budget funds for public assisted housing?</span><br />See explanations for data on the dwelling (question 8).<br /></svar></p> <p><svar v="DE87A026 DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047 DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on dwelling</span><br /></svar></p> <p><svar v="DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on building: please complete only if you are the owner or manager of this building</span><br />[Questions 1 to 4 were asked only of the owner or manager of the building]<br /></svar></p> <p><svar v="DE87A052" a="all">4. Are dwellings in the building subsidized with budget funds for publicly assisted housing? (primary assistance only)<br /><div class="i1">[] 1 None<br />[] 2 All<br />[] 3 Partly</div><br /></svar> Germany 1987: Private dwellings [discrepancies: type I trace; type II none] This variable indicates the degree of subsidization of the dwellings in the building with the funds for publicly assisted housing. 1 None 2 All 3 Partly 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Type of building 2 Germany 1987: All households This variable indicates the type of the building (i.e. whether it was a normal building or a community-used building). 1 Normal building, person(s) having own household 2 Community use with at least one person with own household 9 Community use and vacant dwellings and community use without any household Other Household Variables -- HOUSEHOLD Type of dwelling <svar v="DE87A026 DE87A054"><span class="em">Question 1: Do you occupy the dwelling/rooms as...?</span><br />Households in residential homes mark category b: "Main tenant (including annuitant)", unless they own the dwelling.<br /></svar></p> <p><svar v="DE87A027 DE87A054 DE87A057 DE87A058"><span class="em">Question 2: Is the dwelling a recreational home?</span><br />A dwelling used as accommodation only during leisure time (e.g. on weekends, during vacation) is referred to as a recreational home. It may be used by the owners themselves, be rented to third parties or rented to third parties free of charge. Renting may be done by the owners or by a hotel or some other organization. Recreational homes may be found in any type of building (e.g. weekend and holiday house, multi-dwelling house).<br /></svar></p> <p><svar v="DE87A048 DE87A054"><span class="em">Question 1: Type of building</span><br />Residential buildings are buildings used at least 50% for residential purposes; in other buildings with space used for residential purposes, less than half of the total floor space is used for residential purposes, whereas the largest part serves commercial, social, cultural or administrative purposes.<br /><br />Other types of accommodation are makeshift buildings for temporary use including: barracks, temporary homes, permanently-anchored houseboats, railway construction trains and arbors.<br /><br />Residential homes provide for the housing needs of certain sections of the population, e.g. students and elderly people. A building can be used exclusively as a residential home, such as student dormitories, nursing homes, nurses' dormitories and shelters for mothers and children. There are, however, also buildings that are only partly used as residential homes (e.g. centers for elderly people).<br /></svar></p> <p><svar v="DE87A026 DE87A027 DE87A028 DE87A029 DE87A030 DE87A031 DE87A032 DE87A033 DE87A034 DE87A035 DE87A036 DE87A037 DE87A038 DE87A039 DE87A040 DE87A041 DE87A042 DE87A043 DE87A044 DE87A045 DE87A046 DE87A047 DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on dwelling</span><br /></svar></p> <p><svar v="DE87A026 DE87A054" a="all">1. Do you occupy the dwelling/rooms as:<br /><div class="i1">[] 1 Owner, co-owner or prospective buyer<br />[] 2 Main tenant (including annuitant)<br />[] 3 Sub-tenant</div><br /></svar></p> <p><svar v="DE87A027 DE87A054 DE87A057 DE87A058" a="DE87A027 DE87A057 DE87A058">2. Is the dwelling a leisure-time accommodation?<br /><div class="i1">[] 1 No<br />[] 2 Yes</div><br /></svar></p> <p><svar v="DE87A048 DE87A049 DE87A050 DE87A051 DE87A052 DE87A054"><span class="em">Data on building: please complete only if you are the owner or manager of this building</span><br />[Questions 1 to 4 were asked only of the owner or manager of the building]<br /></svar></p> <p><svar v="DE87A048 DE87A054" a="DE87A048">1. Type of building<br /><div class="i1">[] 1 Residential building (building used at least 50% for residential purposes)<br />[] 2 Other building with space used for residential purposes<br />[] 3 Other type of accommodation (e.g., barrack)</div><br /></svar> Germany 1987: Private dwellings [Universe not verifiable] This variable indicates the type of the dwelling (whether it was a principal residence, secondary residence, or dormitory with/without dwelling characteristics). 01 Owner in principal residence 02 Owner in secondary residence 03 Leisure-time dwelling with persons 04 Tenant in principal residence 05 Tenant in secondary residence 06 Completely sublet with and without dwelling characteristics 07 Subtenant with dwelling owner present 08 Dormitory with dwelling characteristics 09 Dormitory without dwelling characteristics 98 Unknown 99 NIU (not in universe) Group Quarters Variables -- HOUSEHOLD Number of dwellings in building Germany 1987: Private dwellings [discrepancies: type I trace; type II none] This variable indicates the number of dwellings in the building. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 and more dwellings 99 NIU (not in universe) Other Household Variables -- HOUSEHOLD Number of other dwelling units in building Germany 1987: Private dwellings [discrepancies: type I trace; type II none] This variable indicates the number of other dwelling units in the building. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10+ dwelling units 99 NIU (not in universe) Other Household Variables -- HOUSEHOLD Number of leisure-time dwellings in building <svar v="DE87A027 DE87A054 DE87A057 DE87A058"><span class="em">Question 2: Is the dwelling a recreational home?</span><br />A dwelling used as accommodation only during leisure time (e.g. on weekends, during vacation) is referred to as a recreational home. It may be used by the owners themselves, be rented to third parties or rented to third parties free of charge. Renting may be done by the owners or by a hotel or some other organization. Recreational homes may be found in any type of building (e.g. weekend and holiday house, multi-dwelling house).<br /></svar></p> <p><svar v="DE87A027 DE87A054 DE87A057 DE87A058" a="DE87A027 DE87A057 DE87A058">2. Is the dwelling a leisure-time accommodation?<br /><div class="i1">[] 1 No<br />[] 2 Yes</div><br /></svar> Germany 1987: Private dwellings [discrepancies: type I trace; type II none] This variable indicates the number of leisure-time dwellings in the building. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7+ 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Leisure-time dwellings in building <svar v="DE87A027 DE87A054 DE87A057 DE87A058"><span class="em">Question 2: Is the dwelling a recreational home?</span><br />A dwelling used as accommodation only during leisure time (e.g. on weekends, during vacation) is referred to as a recreational home. It may be used by the owners themselves, be rented to third parties or rented to third parties free of charge. Renting may be done by the owners or by a hotel or some other organization. Recreational homes may be found in any type of building (e.g. weekend and holiday house, multi-dwelling house).<br /></svar></p> <p><svar v="DE87A027 DE87A054 DE87A057 DE87A058" a="DE87A027 DE87A057 DE87A058">2. Is the dwelling a leisure-time accommodation?<br /><div class="i1">[] 1 No<br />[] 2 Yes</div><br /></svar> Germany 1987: Private Dwellings [discrepancies: type I trace; type II none] This variable indicates whether the dwelling was a leisure-time dwelling in the building. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Living space of the building in square metres <svar v="DE87A043 DE87A059" a="all">7. What is the total space of the entire dwelling? (including kitchen, bathroom, WC, corridor/hall, garret rooms and the like, as well as sublet or commercially used rooms in the dwelling)<br /><div class="i1">____ full square meters</div><br /></svar> Germany 1987: Private dwellings [discrepancies: type I trace; type II none] This variable indicates the living space of the building in square metres. DE87A059 is a 4-digit numeric variable. Codes9999 = NIU (not in universe) Top codes:4161 = 4161+ Dwelling Characteristics Variables -- HOUSEHOLD Main type of heating for building <svar v="DE87A033 DE87A060"><span class="em">Question 5: Is the dwelling mainly heated by...?</span><br />a) With remote and block heating, the dwellings of several buildings are heated from one central station. Central heating supplies the heat for the dwellings of one building only. With floor heating, the rooms of one dwelling are heated from a source which serves only the one particular dwelling.<br />b) In case of remote heating, always mark "remote heat."<br /></svar> Germany 1987: Private dwellings [discrepancies: type I trace; type II none] This variable indicates the main type of heating for the building. 1 Remote/district heating 2 Block heating 3 Central heating 4 Floor heating for all units (without solar energy) 5 Floor heating for all units (with solar energy) 6 Floor heating not for all units (without solar energy) 7 Floor heating not for all units (with solar energy) 8 Only single or multiple room stoves 9 NIU (Not in universe) Utilities Variables -- HOUSEHOLD Main type of energy Germany 1987: Private dwellings with heating [discrepancies: none] This variable indicates the main type of energy used in the building. 1 Gas 2 Heating oil 3 Electricity 4 Coal, wood, etc 5 Tele/district heating 9 NIU (Not in universe) Utilities Variables -- HOUSEHOLD Use solar energy Germany 1987: All households This variable indicates solar energy was used in the building. 1 No 2 Yes Utilities Variables -- HOUSEHOLD Facilities in dwelling <svar v="DE87A029 DE87A030 DE87A031 DE87A032 DE87A063" a="all">4. Are there inside the dwelling:<br /><div class="i1">Several answers are possible<br /><br />[] Kitchen<br />[] Kitchenette<br />[] Bath/shower<br />[] WC</div><br /></svar> Germany 1987: Private dwellings [discrepancies: none] This variable indicates the characteristics of the facilities (bath, W.C., and heating) in the dwelling. 1 With bath, WC, central heating 2 With bath, WC, without central heating 3 Without bath, with WC 4 With bath, without WC 5 Without bath, WC 9 NIU (Not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Statistical number of rooms <svar v="DE87A040 DE87A064"><span class="em">Question 6: How many rooms of the dwelling have at least 6 square meters?</span><br />For the total space of the dwelling, tenants can, as a rule, consult their contract. Rooms under a slanted roof or ceiling are considered to be half of their floor space. Balconies count as a quarter of their floor space. Basements and attics (attic storage space) should be disregarded unless converted into dwelling rooms.<br /></svar> Germany 1987: Private dwellings occupied by owners or tenants, and dormitories with dwelling characterisitcs [discrepancies: type I trace; type II none] This variable indicates the number of rooms 6 square meters or more, including kitchens. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 99 NIU (Not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Rent in Deutsche Marks (DM) per square meter <svar v="DE87A045 DE87A065" a="all">9. How much is the monthly rent?<br /><div class="i1">The rent also comprises the monthly charges for water, sewerage, street cleaning, garbage collection, staircase lighting, chimney sweeping. Not to be included in the rent are amounts charged for central heating, hot water supply, garage rental, extra charge for subletting, extra charge for furnishing.<br /><br />____ full DM</div><br /></svar> Germany 1987: Private dwellings occupied by tenants [discrepancies: none] This variable indicates the amount of rent per square meter in Deutsche Marks (DM). 00 Not stated 01 Under DM 2.00 02 DM 2.00 to under DM 2.50 03 DM 2.50 to under DM 3.00 04 DM 3.00 to under DM 3.50 05 DM 3.50 to under DM 4.00 06 DM 4.00 to under DM 4.50 07 DM 4.50 to under DM 5.00 08 DM 5.00 to under DM 5.50 09 DM 5.50 to under DM 6.00 10 DM 6.00 to under DM 6.50 11 DM 6.50 to under DM 7.00 12 DM 7.00 to under DM 7.50 13 DM 7.50 to under DM 8.00 14 DM 8.00 to under DM 8.50 15 DM 8.50 to under DM 9.00 16 DM 9.00 to under DM 9.50 17 DM 9.50 to under DM 10.00 18 DM 10.00 to under DM 11.00 19 DM 11.00 to under DM 12.00 20 DM 12.00 to under DM 13.00 21 DM 13.00 to under DM 14.00 22 DM 14.00 to under DM 15.00 23 DM 15.00 to under DM 16.00 24 DM 16.00 and more 99 NIU (Not in universe) Household Economic Variables -- HOUSEHOLD Number of households in dwelling unit Germany 1987: Private dwellings [discrepancies: none] This variable indicates the number of households in the dwelling unit. 1 1 2 2 3 3 4 4 5 5 6 6 7 7 or more 9 NIU (Not in universe) Other Household Variables -- HOUSEHOLD Number of persons in dwelling unit Germany 1987: Private dwellings [discrepancies: none] This variable indicates the number of persons in the dwelling unit. 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 or more 99 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Number of persons in household belonging to legally residing population with main or second residence Germany 1987: Private dwellings [discrepancies: none] This variable indicates the number of persons in the household who belonged to legally residing population with main or second residence. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 or more 99 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Number of persons in household at principal residence Germany 1987: Private dwellings [discrepancies: none] This variable indicates the number of persons in the household who were at principal residence. 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 or more 99 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Number of persons in household belonging to population in private households Germany 1987: Private dwellings [discrepancies: none] This variable indicates the number of persons in the household who belonged to population in private households. 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 or more 99 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Number of persons in household belonging to legally residing population in their main residence Germany 1987: Private dwellings [discrepancies: none] This variable indicates the number of persons in the household who belonged to legally residing population in their main residence. 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 or more 99 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Number of single persons under age 3 in household <svar v="DE87A072 DE87A073 DE87A074 DE87A075 DE87A076 DE87A088 DE87A089 DE87A090 DE87A092 DE87A405 DE87A440 DE87A454 DE87A455 DE87A456" a="DE87A088 DE87A089 DE87A090 DE87A092 DE87A405 DE87A440 DE87A454 DE87A455 DE87A456">1. Date of birth<br /><div class="i1">____a) Year of birth<br /><br />b) Month of birth</div><br /><div class="i2">[] 1 Jan. to 24 May<br />[] 25 May to 31 Dec.</div><br /></svar></p> <p><svar v="DE87A072 DE87A073 DE87A074 DE87A075 DE87A076 DE87A077 DE87A078 DE87A407 DE87A441" a="all">3. Marital status<br /><div class="i1">[] 1 Single<br />[] 2 Married<br />[] 3 Widowed<br />[] 4 Divorced</div><br /></svar> Germany 1987: Private dwellings [discrepancies: none] This variable indicates the number of single persons under age 3 in the household. 0 0 1 1 2 2 3 3 or more 9 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Number of single persons under age 6 in household <svar v="DE87A072 DE87A073 DE87A074 DE87A075 DE87A076 DE87A088 DE87A089 DE87A090 DE87A092 DE87A405 DE87A440 DE87A454 DE87A455 DE87A456" a="DE87A088 DE87A089 DE87A090 DE87A092 DE87A405 DE87A440 DE87A454 DE87A455 DE87A456">1. Date of birth<br /><div class="i1">____a) Year of birth<br /><br />b) Month of birth</div><br /><div class="i2">[] 1 Jan. to 24 May<br />[] 25 May to 31 Dec.</div><br /></svar></p> <p><svar v="DE87A072 DE87A073 DE87A074 DE87A075 DE87A076 DE87A077 DE87A078 DE87A407 DE87A441" a="all">3. Marital status<br /><div class="i1">[] 1 Single<br />[] 2 Married<br />[] 3 Widowed<br />[] 4 Divorced</div><br /></svar> Germany 1987: Private dwellings [discrepancies: none] This variable indicates the number of single persons under age 6 in the household. 0 0 1 1 2 2 3 3 4 4 or more 9 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Number of single persons under age 10 in household <svar v="DE87A072 DE87A073 DE87A074 DE87A075 DE87A076 DE87A088 DE87A089 DE87A090 DE87A092 DE87A405 DE87A440 DE87A454 DE87A455 DE87A456" a="DE87A088 DE87A089 DE87A090 DE87A092 DE87A405 DE87A440 DE87A454 DE87A455 DE87A456">1. Date of birth<br /><div class="i1">____a) Year of birth<br /><br />b) Month of birth</div><br /><div class="i2">[] 1 Jan. to 24 May<br />[] 25 May to 31 Dec.</div><br /></svar></p> <p><svar v="DE87A072 DE87A073 DE87A074 DE87A075 DE87A076 DE87A077 DE87A078 DE87A407 DE87A441" a="all">3. Marital status<br /><div class="i1">[] 1 Single<br />[] 2 Married<br />[] 3 Widowed<br />[] 4 Divorced</div><br /></svar> Germany 1987: Private dwellings [discrepancies: none] This variable indicates the number of single persons under age 10 in the household. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 or more 9 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Number of single persons under age 15 in household <svar v="DE87A072 DE87A073 DE87A074 DE87A075 DE87A076 DE87A088 DE87A089 DE87A090 DE87A092 DE87A405 DE87A440 DE87A454 DE87A455 DE87A456" a="DE87A088 DE87A089 DE87A090 DE87A092 DE87A405 DE87A440 DE87A454 DE87A455 DE87A456">1. Date of birth<br /><div class="i1">____a) Year of birth<br /><br />b) Month of birth</div><br /><div class="i2">[] 1 Jan. to 24 May<br />[] 25 May to 31 Dec.</div><br /></svar></p> <p><svar v="DE87A072 DE87A073 DE87A074 DE87A075 DE87A076 DE87A077 DE87A078 DE87A407 DE87A441" a="all">3. Marital status<br /><div class="i1">[] 1 Single<br />[] 2 Married<br />[] 3 Widowed<br />[] 4 Divorced</div><br /></svar> Germany 1987: Private dwellings [discrepancies: none] This variable indicates the number of single persons under age 15 in the household. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 or more 9 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Number of single persons under age 18 in household <svar v="DE87A072 DE87A073 DE87A074 DE87A075 DE87A076 DE87A088 DE87A089 DE87A090 DE87A092 DE87A405 DE87A440 DE87A454 DE87A455 DE87A456" a="DE87A088 DE87A089 DE87A090 DE87A092 DE87A405 DE87A440 DE87A454 DE87A455 DE87A456">1. Date of birth<br /><div class="i1">____a) Year of birth<br /><br />b) Month of birth</div><br /><div class="i2">[] 1 Jan. to 24 May<br />[] 25 May to 31 Dec.</div><br /></svar></p> <p><svar v="DE87A072 DE87A073 DE87A074 DE87A075 DE87A076 DE87A077 DE87A078 DE87A407 DE87A441" a="all">3. Marital status<br /><div class="i1">[] 1 Single<br />[] 2 Married<br />[] 3 Widowed<br />[] 4 Divorced</div><br /></svar> Germany 1987: Private dwellings [discrepancies: none] This variable indicates the number of single persons under age 18 in the household. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 or more 9 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Number of all married persons in household <svar v="DE87A072 DE87A073 DE87A074 DE87A075 DE87A076 DE87A077 DE87A078 DE87A407 DE87A441" a="all">3. Marital status<br /><div class="i1">[] 1 Single<br />[] 2 Married<br />[] 3 Widowed<br />[] 4 Divorced</div><br /></svar> Germany 1987: Private dwellings [discrepancies: none] This variable indicates the number of all married persons in the household. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 or more 9 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Number of married couples in household <svar v="DE87A072 DE87A073 DE87A074 DE87A075 DE87A076 DE87A077 DE87A078 DE87A407 DE87A441" a="all">3. Marital status<br /><div class="i1">[] 1 Single<br />[] 2 Married<br />[] 3 Widowed<br />[] 4 Divorced</div><br /></svar> Germany 1987: Private dwellings [discrepancies: none] This variable indicates the number of married couples in the household. 0 0 1 1 2 2 3 3 or more 9 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Number of persons with income in household (age 15 or older) <svar v="DE87A079 DE87A080 DE87A086 DE87A420 DE87A444"><span class="em">Question 8: Your main source of livelihood</span><br />The source of subsistence which provides the largest part of livelihood must be marked solely by direct recipients or persons entitled, but not by family members. If applicable, they should mark, "support, maintenance by parents, husband/wife, etc." Scholarships should be marked as "other benefits" (e.g., social assistance, Federal Law on the Promotion of Education/Training); the same applies to the maintenance grants provided under the work promotion law for retraining and further education as well as for employment and occupation for the promotion of handicapped persons.<br /></svar></p> <p><svar v="DE87A079 DE87A080 DE87A086 DE87A420 DE87A444" a="all">8. Your main source of livelihood?<br /><div class="i1">[] 1 Economic/occupational activity<br />[] 2 Unemployment benefits or relief<br />[] 3 Pension, etc.<br />[] 4 Own property, letting leasing, provision for aged persons<br />[] 5 Support, maintenance by parents, husband/wife, etc.<br />[] 6 Other benefits (e.g., social assistance)</div><br /></svar> Germany 1987: Private dwellings [discrepancies: none] This variable indicates the number of persons with income (age 15 or older) 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 99 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Number of persons with income from employment in household (age 15 or older) <svar v="DE87A079 DE87A080 DE87A086 DE87A420 DE87A444"><span class="em">Question 8: Your main source of livelihood</span><br />The source of subsistence which provides the largest part of livelihood must be marked solely by direct recipients or persons entitled, but not by family members. If applicable, they should mark, "support, maintenance by parents, husband/wife, etc." Scholarships should be marked as "other benefits" (e.g., social assistance, Federal Law on the Promotion of Education/Training); the same applies to the maintenance grants provided under the work promotion law for retraining and further education as well as for employment and occupation for the promotion of handicapped persons.<br /></svar></p> <p><svar v="DE87A079 DE87A080 DE87A086 DE87A420 DE87A444" a="all">8. Your main source of livelihood?<br /><div class="i1">[] 1 Economic/occupational activity<br />[] 2 Unemployment benefits or relief<br />[] 3 Pension, etc.<br />[] 4 Own property, letting leasing, provision for aged persons<br />[] 5 Support, maintenance by parents, husband/wife, etc.<br />[] 6 Other benefits (e.g., social assistance)</div><br /></svar> Germany 1987: Private dwellings [discrepancies: none] This variable indicates the number of persons with income from employment (age 15 or older) in the household. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 or more 9 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Employment of reference person in household <svar v="DE87A081 DE87A087 DE87A097 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A436 DE87A439 DE87A447"><span class="em">Question 7: Are you economically active, unemployed?</span><br />Persons who are part of an employment/service relationship, pursue an independent trade, practice a liberal profession, or work as family workers are considered economically active. Persons participating in programs aimed at further education, retraining/reeducation and rehabilitation and are in possession of a work contract should also mark "economically active". Services performed on an honorary basis are not considered an economic activity.<br /><br />"Economically active up to 36 hours per week" should also be marked if work is performed by the hour, half days or on certain days of the week only.<br /><br />Unemployed persons who are earning some money on the side should mark "economically active up to 36 hours per week" in addition to "unemployed, looking for work."<br /><br />Juveniles in their first year of vocational training who do not have a contract of employment/training should mark both "not economically active" and "pupil, student".<br /></svar></p> <p><svar v="DE87A081 DE87A087 DE87A097 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A436 DE87A439 DE87A447" a="all">7. Are you:<br /><div class="i1">Several answers are possible<br /><br />[] Economically active (1) full-time (over 36 hours (2) per week)<br />[] Economically active (1) part-time (up to 36 hours (2) per week)<br />[] Unemployed, looking for work<br />[] Not economically active<br />[] Housewife, "houseman"<br />[] Pupil, student<br /><br />(1) = Also farmer, family worker, apprentice, soldier, person doing civilian alternative service<br />(2) = Based on the number of hours normally worked during a week</div><br /></svar> Germany 1987: Private dwellings [discrepancies: none] This variable indicates the employment status of the reference person in the household. 1 Full time and pupil/student 2 Full time and not student 3 Part time (to 36 hours) and student 4 Part time (to 36 hours) and not student 5 Unemployed or seeking employment and student 6 Unemployed or seeking employment and not student 7 Not economically active and student 8 Not economically active and not student 9 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Present employment of reference person of household <svar v="DE87A082 DE87A429 DE87A442 DE87A448 DE87A450 DE87A452"><span class="em">Question 15: Are you presently working as?</span><br />Home workers indicate either "other wage earner" or "skilled worker" in accordance with the activity pursued. Skilled workers also include journeymen.<br /><br />Trainees and improvers are considered apprentices.<br /><br />Tradesmen/women working from home, work agents or persons having a contract for work, and labor should mark "self-employed".<br /></svar></p> <p><svar v="DE87A082 DE87A083 DE87A429 DE87A430 DE87A431 DE87A432 DE87A442 DE87A448 DE87A450 DE87A451 DE87A452"><span class="em">For economically active persons</span><br />[Questions 15-18 were asked of economically active persons.]<br /></svar></p> <p><svar v="DE87A082 DE87A083 DE87A429 DE87A442 DE87A448 DE87A450 DE87A452" a="all">15. Are you presently working as:<br /><div class="i1">[] 1 Skilled worker<br />[] 2 Other wage earner<br />[] 3 Salaried employee<br />[] 4 Apprentice<br />[] 5 Official (3), judge, soldier, person doing civilian alternative service<br />[] 6 Self-employed, employing paid labor<br />[] 7 Self-employed, without paid labor<br />[] 8 Assistant family member<br /><br />(3) = Also applicants for civil service</div><br /></svar> Germany 1987: Private dwellings with employed reference person(s) [discrepancies: none] This variable indicates the type of the present employment of the reference person in the household. 1 Skilled worker 2 Other wage earner 3 Salaried employee 4 Apprentice 5 Public servant, judge, soldier, alternative to military service 6 Self-employed with employees 7 Self-employed without employees 8 Assistant family member 9 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Indicator for reference person in household being in training/apprenticeship <svar v="DE87A082 DE87A083 DE87A429 DE87A430 DE87A431 DE87A432 DE87A442 DE87A448 DE87A450 DE87A451 DE87A452"><span class="em">For economically active persons</span><br />[Questions 15-18 were asked of economically active persons.]<br /></svar></p> <p><svar v="DE87A082 DE87A083 DE87A429 DE87A442 DE87A448 DE87A450 DE87A452" a="all">15. Are you presently working as:<br /><div class="i1">[] 1 Skilled worker<br />[] 2 Other wage earner<br />[] 3 Salaried employee<br />[] 4 Apprentice<br />[] 5 Official (3), judge, soldier, person doing civilian alternative service<br />[] 6 Self-employed, employing paid labor<br />[] 7 Self-employed, without paid labor<br />[] 8 Assistant family member<br /><br />(3) = Also applicants for civil service</div><br /></svar> Germany 1987: Private dwellings in which reference person is apprentice [discrepancies: type I trace; type II none] This variable indicates whether the reference person in the household was in training/apprenticeship. 1 Industrial 2 Merchant / technical 9 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Highest level of general education completed of reference person in household <svar v="DE87A084 DE87A421 DE87A445"><span class="em">Question 9: What is the highest level of general education you have completed?</span><br />For this question, only the level of schooling completed should be marked. Pupils who are still attending a school of general education need not answer question 9.<br /><br />In an intermediate school or a high school was not attended up to the completion of the 10th grade, mark "elementary school, post-primary school." If the person left school after the 10th grade but before the final high school examination, mark "intermediate school."<br /><br />Persons who have completed a course of schooling for adults to obtain high school equivalency (e.g., evening high school/institution leading to university qualification) mark either "intermediate school" or "qualification for higher education (final high school examination)", according to the level completed.<br /></svar></p> <p><svar v="DE87A084 DE87A085 DE87A421 DE87A422 DE87A423 DE87A424 DE87A425 DE87A433 DE87A445 DE87A449 DE87A450 DE87A459"><span class="em">For persons between 15 and 65 years of age</span><br />[Questions 9-11 were asked of persons between 15 and 65 years]<br /><br />If you have completed education at a school/university of general/vocational education:<br /></svar></p> <p><svar v="DE87A084 DE87A421 DE87A445 DE87A450" a="DE87A084 DE87A421 DE87A445">9. What is the highest level of general education you have completed?<br /><div class="i1">[] 1 Elementary school, post-primary school<br />[] 2 Intermediate school or equivalent (e.g., completed 10th grade)<br />[] 3 High school qualifying for higher education (final high school exam) or qualifying for vocational education</div><br /></svar> Germany 1987: Private dwellings in which reference person(s) age 15-65 [discrepancies: type I none; type II 3.4%] This variable indicates the highest level of general education completed by the reference person in the household. 1 Elementary/primary school 2 Intermediate high school 3 High school with final examination qualifying for university or vocational college 8 Unknown 9 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Highest level of vocational or university education of reference person in household <svar v="DE87A085 DE87A422 DE87A423 DE87A446 DE87A450"><span class="em">Question 10: What is the highest level at a vocational school or university?</span><br />a) Full-time vocational schools are attended either in preparation for a specific trade or for a complete vocational training. They include (among others): commercial schools, schools for higher commercial studies, administrative schools, language schools and interpreters' schools, housekeeping schools, nursemaids' schools, schools for medical assistants, schools of arts and schools of dramatic arts.<br /><br />Compulsory part-time vocational schools or special part-time vocational schools must not be indicated under "full-time vocational school".<br /><br />Advanced full-time vocational schools provide a further education for specific occupations. They may be attended on a part-time or a full-time basis.<br /><br />The advanced full-time vocational schools are normally designated as "special schools for... (occupational objective or field of interest)" -- e.g., advanced full-time technical schools (also schools for technicians), advanced full-time vocational schools for economics, agriculture, home economics, textiles and clothing, social pedagogy. These schools also include master schools.<br /><br />The vocational colleges mainly emerged from the former engineering schools and higher advanced full-time vocational schools. Their objective is to provide an education on a scientific or artistic basis by means of schooling especially focused on practical training, thereby enabling the students to perform an independent activity in their professional life. The vocational colleges also include the administrative vocational colleges where junior staff is trained for the upper-grade non-technical service of the Federation and the states.<br /><br />Studies at universities, teacher training colleges, theological colleges and colleges of arts as well as in scientific courses of studies at the <span class="lang">Gesamthochschulen</span> should be indicated under "institution of higher education."<br /><br />b) Indicated here is the occupational emphasis towards which the successful completion of a full-time vocational school, advanced full-time vocational school, vocational college or university that was orientated -- e.g., agriculture, mechanical engineering electrical engineering, business management, economics, surface ground construction, underground construction, trade in goods, transport and communications, banking and insurance. If a commercial school was completed, please enter "commercial school."<br /></svar></p> <p><svar v="DE87A084 DE87A085 DE87A421 DE87A422 DE87A423 DE87A424 DE87A425 DE87A433 DE87A445 DE87A449 DE87A450 DE87A459"><span class="em">For persons between 15 and 65 years of age</span><br />[Questions 9-11 were asked of persons between 15 and 65 years]<br /><br />If you have completed education at a school/university of general/vocational education:<br /></svar></p> <p><svar v="DE87A085 DE87A422 DE87A446 DE87A450" a="DE87A085 DE87A422 DE87A446">10a. What is the highest level at a vocational school or a university you have completed?<br /><div class="i1">[] Full-time vocational school (e.g., commercial or administrative school)<br />[] Advanced full-time vocational school<br />[] Higher technical college (engineering school, vocational college)<br />[] Institution of higher education (including teacher training)</div><br /></svar> Germany 1987: Private dwellings in which reference person(s) age 15-65 and completed vocational/university education [discrepancies: not verifiable] This variable indicates the highest level of vocational or university education of the reference person in the household. 1 Fulltime vocational school (without apprenticeship schools) 2 Vocational college 3 Technical/engineering college 4 University (including teacher college) 9 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Number of economically active persons in household contributing to the livelihood of household <svar v="DE87A079 DE87A080 DE87A086 DE87A420 DE87A444"><span class="em">Question 8: Your main source of livelihood</span><br />The source of subsistence which provides the largest part of livelihood must be marked solely by direct recipients or persons entitled, but not by family members. If applicable, they should mark, "support, maintenance by parents, husband/wife, etc." Scholarships should be marked as "other benefits" (e.g., social assistance, Federal Law on the Promotion of Education/Training); the same applies to the maintenance grants provided under the work promotion law for retraining and further education as well as for employment and occupation for the promotion of handicapped persons.<br /></svar></p> <p><svar v="DE87A079 DE87A080 DE87A086 DE87A420 DE87A444" a="all">8. Your main source of livelihood?<br /><div class="i1">[] 1 Economic/occupational activity<br />[] 2 Unemployment benefits or relief<br />[] 3 Pension, etc.<br />[] 4 Own property, letting leasing, provision for aged persons<br />[] 5 Support, maintenance by parents, husband/wife, etc.<br />[] 6 Other benefits (e.g., social assistance)</div><br /></svar> Germany 1987: Private dwellings [discrepancies: none] This variable indicates the number of economically active persons in the household contributing source of living to the household. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 or more 9 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Number of employed persons in household <svar v="DE87A081 DE87A087 DE87A097 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A436 DE87A439 DE87A447"><span class="em">Question 7: Are you economically active, unemployed?</span><br />Persons who are part of an employment/service relationship, pursue an independent trade, practice a liberal profession, or work as family workers are considered economically active. Persons participating in programs aimed at further education, retraining/reeducation and rehabilitation and are in possession of a work contract should also mark "economically active". Services performed on an honorary basis are not considered an economic activity.<br /><br />"Economically active up to 36 hours per week" should also be marked if work is performed by the hour, half days or on certain days of the week only.<br /><br />Unemployed persons who are earning some money on the side should mark "economically active up to 36 hours per week" in addition to "unemployed, looking for work."<br /><br />Juveniles in their first year of vocational training who do not have a contract of employment/training should mark both "not economically active" and "pupil, student".<br /></svar></p> <p><svar v="DE87A081 DE87A087 DE87A097 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A436 DE87A439 DE87A447" a="all">7. Are you:<br /><div class="i1">Several answers are possible<br /><br />[] Economically active (1) full-time (over 36 hours (2) per week)<br />[] Economically active (1) part-time (up to 36 hours (2) per week)<br />[] Unemployed, looking for work<br />[] Not economically active<br />[] Housewife, "houseman"<br />[] Pupil, student<br /><br />(1) = Also farmer, family worker, apprentice, soldier, person doing civilian alternative service<br />(2) = Based on the number of hours normally worked during a week</div><br /></svar> Germany 1987: Private dwellings [discrepancies: none] This variable indicates the number of employed persons in the household. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 or more 9 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Number of persons age 15 to under 65 in household <svar v="DE87A072 DE87A073 DE87A074 DE87A075 DE87A076 DE87A088 DE87A089 DE87A090 DE87A092 DE87A405 DE87A440 DE87A454 DE87A455 DE87A456" a="DE87A088 DE87A089 DE87A090 DE87A092 DE87A405 DE87A440 DE87A454 DE87A455 DE87A456">1. Date of birth<br /><div class="i1">____a) Year of birth<br /><br />b) Month of birth</div><br /><div class="i2">[] 1 Jan. to 24 May<br />[] 25 May to 31 Dec.</div><br /></svar> Germany 1987: Private dwellings [discrepancies: none] This variable indicates the number of persons age 15 to less than 65 in the household. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 or more 9 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Number of persons age 66 or older in household <svar v="DE87A072 DE87A073 DE87A074 DE87A075 DE87A076 DE87A088 DE87A089 DE87A090 DE87A092 DE87A405 DE87A440 DE87A454 DE87A455 DE87A456" a="DE87A088 DE87A089 DE87A090 DE87A092 DE87A405 DE87A440 DE87A454 DE87A455 DE87A456">1. Date of birth<br /><div class="i1">____a) Year of birth<br /><br />b) Month of birth</div><br /><div class="i2">[] 1 Jan. to 24 May<br />[] 25 May to 31 Dec.</div><br /></svar> Germany 1987: Private dwellings [discrepancies: none] This variable indicates the number of persons age 66 or older in the household. 0 0 1 1 2 2 3 3 or more 9 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Number of persons age 65 or older in household <svar v="DE87A072 DE87A073 DE87A074 DE87A075 DE87A076 DE87A088 DE87A089 DE87A090 DE87A092 DE87A405 DE87A440 DE87A454 DE87A455 DE87A456" a="DE87A088 DE87A089 DE87A090 DE87A092 DE87A405 DE87A440 DE87A454 DE87A455 DE87A456">1. Date of birth<br /><div class="i1">____a) Year of birth<br /><br />b) Month of birth</div><br /><div class="i2">[] 1 Jan. to 24 May<br />[] 25 May to 31 Dec.</div><br /></svar> Germany 1987: Private dwellings [discrepancies: none] This variable indicates the number of persons age 65 or older in the household. 0 0 1 1 2 2 3 3 or more 9 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Number of single pupils/students age under 18 in household Germany 1987: Private dwellings [discrepancies: none] This variable indicates the number of single pupils/students age under 18 in the household. 0 0 1 1 2 2 3 3 4 4 5 5 or more 9 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Age of oldest person in household <svar v="DE87A072 DE87A073 DE87A074 DE87A075 DE87A076 DE87A088 DE87A089 DE87A090 DE87A092 DE87A405 DE87A440 DE87A454 DE87A455 DE87A456" a="DE87A088 DE87A089 DE87A090 DE87A092 DE87A405 DE87A440 DE87A454 DE87A455 DE87A456">1. Date of birth<br /><div class="i1">____a) Year of birth<br /><br />b) Month of birth</div><br /><div class="i2">[] 1 Jan. to 24 May<br />[] 25 May to 31 Dec.</div><br /></svar> Germany 1987: Private dwellings [discrepancies: none] This variable indicates the age of the oldest person in the household. 16 16 years or younger 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 years or older 99 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Type of household Germany 1987: Private dwellings [discrepancies: type I none; type II 1.5%] This variable indicates the type of the household. 01 1 adult, age 15 to 64, male 02 1 adult, age 15 to 64, female 03 1 adult, age 65 or older, male 04 1 adult, age 65 or older, female 05 2 adults, both age 15 to 64 06 2 adults, both age 65 or older 07 2 adults, one age 15 to 64, one age 65 or older 08 1 male adult with at least one child 09 1 female adult with at least 1 child 10 2 adults with 1 child 11 2 adults with 2 children 12 2 adults with 3 children 13 2 adults with 4 or more children 14 3 adults or more with at least 1 child 15 3 adults or more without children 98 Unknown 99 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Indicator for citizenship of persons in household <svar v="DE87A094 DE87A409 DE87A443"><span class="em">Question 5: What is your citizenship?</span><br />If another citizenship exists in addition to the German citizenship, mark "German". Stateless persons or those whose citizenship is undetermined should mark "others/none". The "other EC countries" include: Belgium, Denmark, France, Great Britain and Northern Ireland, Ireland, Luxembourg, the Netherlands, Portugal, and Spain.<br /></svar></p> <p><svar v="DE87A094 DE87A409 DE87A443" a="all">5. What is your citizenship?<br /><div class="i1">[] 1 German<br />[] 2 Greek<br />[] 3 Italian<br />[] 4 Other European Community countries<br />[] 5 Yugoslav<br />[] 6 Turkish<br />[] 7 Others/none</div><br /></svar> Germany 1987: Private dwellings [discrepancies: none] This variable indicates the citizenship of the household members. 1 All persons in household are German 2 All persons in household are foreigners 3 Household has both Germans and foreigners 9 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Legal religious affiliation of spouse of reference person <svar v="DE87A095 DE87A408 DE87A457"><span class="em">Question 4: Legal affiliation with a religious denomination</span><br />Free protestant churches include (among others): the Union of Evangelical Free-Church Communities (Baptists), the Evangelical Methodist Church, the Union of Free Evangelical Communities in Germany and the Association of German Mennonite Communities. "Other religious communities" also include the Old Catholics, the Greek Orthodox and Seventh-Day Adventists.<br /></svar></p> <p><svar v="DE87A095 DE87A408 DE87A457" a="all">4. Legal affiliation with a religious community<br /><div class="i1">[] 1 Roman-Catholic church<br />[] 2 Protestant church<br />[] 3 Free Protestant church<br />[] 4 Jewish religious community<br />[] 5 Islamic religious community<br />[] 6 Other religious communities<br />[] 7 No legal affiliation with a religious community</div><br /></svar> Germany 1987: Private dwellings in which spouse of reference person is present [discrepancies: not verifiable] This variable indicates the legal religious affiliation of the reference person's spouse. 1 Roman-Catholic church 2 Protestant church 3 Free Protestant church 4 Jewish religious community 5 Islamic religious community 7 No legal affiliation with a religious community 9 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Number of persons widowed, divorced, or spouse-absent in household Germany 1987: Private dwellings [discrepancies: none] This variable indicates the number of persons who were widowed, divorced, or spouse-absent in the household. 0 None 1 1 person, male 2 1 person, female 3 2 persons, one male, one female 4 2 persons, other 5 3 persons 6 4 persons or more 9 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Single students age 15-28 living in household <svar v="DE87A081 DE87A087 DE87A097 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A436 DE87A439 DE87A447"><span class="em">Question 7: Are you economically active, unemployed?</span><br />Persons who are part of an employment/service relationship, pursue an independent trade, practice a liberal profession, or work as family workers are considered economically active. Persons participating in programs aimed at further education, retraining/reeducation and rehabilitation and are in possession of a work contract should also mark "economically active". Services performed on an honorary basis are not considered an economic activity.<br /><br />"Economically active up to 36 hours per week" should also be marked if work is performed by the hour, half days or on certain days of the week only.<br /><br />Unemployed persons who are earning some money on the side should mark "economically active up to 36 hours per week" in addition to "unemployed, looking for work."<br /><br />Juveniles in their first year of vocational training who do not have a contract of employment/training should mark both "not economically active" and "pupil, student".<br /></svar></p> <p><svar v="DE87A081 DE87A087 DE87A097 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A436 DE87A439 DE87A447" a="all">7. Are you:<br /><div class="i1">Several answers are possible<br /><br />[] Economically active (1) full-time (over 36 hours (2) per week)<br />[] Economically active (1) part-time (up to 36 hours (2) per week)<br />[] Unemployed, looking for work<br />[] Not economically active<br />[] Housewife, "houseman"<br />[] Pupil, student<br /><br />(1) = Also farmer, family worker, apprentice, soldier, person doing civilian alternative service<br />(2) = Based on the number of hours normally worked during a week</div><br /></svar> Germany 1987: Private dwellings [discrepancies: none] This variable indicates the number single students age 15-28 living in the household. 1 Yes 2 No 9 NIU (Not in universe) Constructed Household Variables -- HOUSEHOLD Person number PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database. PERNUM is a 4-digit numeric variable. Technical Person Variables -- PERSON Person weight PERWT indicates the number of persons in the actual population represented by the person in the sample. For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population. NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Person Variables -- PERSON Mother's location in household MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers. The method by which probable child-mother links are identified is described in PARRULE. The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of MOMLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships. To restrict MOMLOC to biological mothers, such as for own children fertility estimation, MOMLOC should be reset to zero when STEPMOM is greater than zero. MOMLOC is a 3-digit numeric variable. Codes0 = No mother of this person present in the household. 1 or higher = The person number of this person's mother Constructed Family Interrelationship Variables -- PERSON Father's location in household POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers. The method by which probable child-father links are identified is described in PARRULE. The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of POPLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships. To restrict POPLOC to biological mothers, such as for own children fertility estimation, POPLOC should be reset to zero when STEPPOP is greater than zero. POPLOC is a 3-digit numeric variable. Codes0 = No father of this person present in the household. 1 or higher = The person number of this person's father Constructed Family Interrelationship Variables -- PERSON Spouse's location in household SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses. The method by which probable spouse-spouse links are identified is described in SPRULE. The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. For more details on the construction of SPLOC, see the Comparability section of SPRULE and this paper on IPUMSI family linking methodology. SPLOC is a 3-digit numeric variable. Codes0 = No spouse of this person present in the household. 1 or higher = The person number of this person's spouse Constructed Family Interrelationship Variables -- PERSON Rule for linking 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 Age AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. 000 Less than 1 year 001 1 year 002 2 years 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100+ 999 Not reported/missing Demographic Variables -- PERSON Age, grouped into intervals AGE2 gives computed years of age grouped into intervals. 01 0 to 4 02 5 to 9 03 10 to 14 04 15 to 19 05 0 to 5 06 6 to 10 07 10 to 15 08 11 to 14 09 15 to 17 10 16 to 19 11 18 to 24 12 20 to 24 13 25 to 29 14 30 to 34 15 35 to 39 16 40 to 44 17 45 to 49 18 50 to 54 19 55 to 59 20 60 to 64 21 65 to 69 22 70 to 74 23 75 to 79 24 80 to 84 25 85+ 98 Unknown Demographic Variables -- PERSON Sex SEX reports the sex (gender) of the respondent. 1 Male 2 Female 9 Unknown Demographic Variables -- PERSON Marital status [general version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 0 NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing Demographic Variables -- PERSON Marital status [detailed version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 000 NIU (not in universe) 100 Single/never married 110 Engaged 111 Never married and never cohabited 200 Married or consensual union 210 Married, formally 211 Married, civil 212 Married, religious 213 Married, civil and religious 214 Married, civil or religious 215 Married, traditional/customary 216 Married, monogamous 217 Married, polygamous 219 Married, spouse absent (historical samples) 220 Consensual union 300 Separated/divorced/spouse absent 310 Separated or divorced 320 Separated or annulled 330 Separated 331 Separated legally 332 Separated de facto 333 Separated from marriage 334 Separated from consensual union 335 Separated from consensual union or marriage 340 Annulled 350 Divorced 400 Widowed 410 Widowed or divorced 411 Widowed from consensual union or marriage 412 Widowed from marriage 413 Widowed from consensual union 420 Widowed, divorced, or separated 999 Unknown/missing Demographic Variables -- PERSON Marital status, Europe EMARST describes for the European samples the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. European census instructions generally limit marital status to legal unions, but there are exceptions. EMARST has been classified according to the recommendations given by the Conference of European Statisticians for the 2010 Population and Housing Censuses. 0 NIU (not in universe) 1 Never married 2 Married 3 Widowed and not remarried 4 Divorced/separated and not remarried 5 Widowed or divorced 9 Unknown / missing Demographic Variables -- PERSON Year of birth BIRTHYR gives the person's year of birth. 0000 NIU (not in universe) 1628 1628 1629 1629 1630 1630 1631 1631 1634 1634 1635 1635 1636 1636 1637 1637 1638 1638 1639 1639 1640 1640 1641 1641 1642 1642 1643 1643 1644 1644 1645 1645 1646 1646 1647 1647 1648 1648 1649 1649 1650 1650 1651 1651 1652 1652 1653 1653 1654 1654 1655 1655 1656 1656 1657 1657 1658 1658 1659 1659 1660 1660 1661 1661 1662 1662 1663 1663 1664 1664 1665 1665 1666 1666 1667 1667 1668 1668 1669 1669 1670 1670 1671 1671 1672 1672 1673 1673 1674 1674 1675 1675 1676 1676 1677 1677 1678 1678 1679 1679 1680 1680 1681 1681 1682 1682 1683 1683 1684 1684 1685 1685 1686 1686 1687 1687 1688 1688 1689 1689 1690 1690 1691 1691 1692 1692 1693 1693 1694 1694 1695 1695 1696 1696 1697 1697 1698 1698 1699 1699 1700 1700 1701 1701 1702 1702 1703 1703 1704 1704 1705 1705 1706 1706 1707 1707 1708 1708 1709 1709 1710 1710 1711 1711 1712 1712 1713 1713 1714 1714 1715 1715 1716 1716 1717 1717 1718 1718 1719 1719 1720 1720 1721 1721 1722 1722 1723 1723 1724 1724 1725 1725 1726 1726 1727 1727 1728 1728 1729 1729 1730 1730 1731 1731 1732 1732 1733 1733 1734 1734 1735 1735 1736 1736 1737 1737 1738 1738 1739 1739 1740 1740 1741 1741 1742 1742 1743 1743 1744 1744 1745 1745 1746 1746 1747 1747 1748 1748 1749 1749 1750 1750 1751 1751 1752 1752 1753 1753 1754 1754 1755 1755 1756 1756 1757 1757 1758 1758 1759 1759 1760 1760 1761 1761 1762 1762 1763 1763 1764 1764 1765 1765 1766 1766 1767 1767 1768 1768 1769 1769 1770 1770 1771 1771 1772 1772 1773 1773 1774 1774 1775 1775 1776 1776 1777 1777 1778 1778 1779 1779 1780 1780 1781 1781 1782 1782 1783 1783 1784 1784 1785 1785 1786 1786 1787 1787 1788 1788 1789 1789 1790 1790 1791 1791 1792 1792 1793 1793 1794 1794 1795 1795 1796 1796 1797 1797 1798 1798 1799 1799 1800 1800 1801 1801 1802 1802 1803 1803 1804 1804 1805 1805 1806 1806 1807 1807 1808 1808 1809 1809 1810 1810 1811 1811 1812 1812 1813 1813 1814 1814 1815 1815 1816 1816 1817 1817 1818 1818 1819 1819 1820 1820 1821 1821 1822 1822 1823 1823 1824 1824 1825 1825 1826 1826 1827 1827 1828 1828 1829 1829 1830 1830 1831 1831 1832 1832 1833 1833 1834 1834 1835 1835 1836 1836 1837 1837 1838 1838 1839 1839 1840 1840 1841 1841 1842 1842 1843 1843 1844 1844 1845 1845 1846 1846 1847 1847 1848 1848 1849 1849 1850 1850 1851 1851 1852 1852 1853 1853 1854 1854 1855 1855 1856 1856 1857 1857 1858 1858 1859 1859 1860 1860 1861 1861 1862 1862 1863 1863 1864 1864 1865 1865 1866 1866 1867 1867 1868 1868 1869 1869 1870 1870 1871 1871 1872 1872 1873 1873 1874 1874 1875 1875 1876 1876 1877 1877 1878 1878 1879 1879 1880 1880 1881 1881 1882 1882 1883 1883 1884 1884 1885 1885 1886 1886 1887 1887 1888 1888 1889 1889 1890 1890 1891 1891 1892 1892 1893 1893 1894 1894 1895 1895 1896 1896 1897 1897 1898 1898 1899 1899 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 9999 Unknown Demographic Variables -- PERSON Citizenship CITIZEN indicates the person's citizenship status within the country in which they were enumerated. 1 Citizen, not specified 2 Citizen by birth 3 Naturalized citizen 4 Not a citizen 5 Without citizenship, stateless 8 Unknown 9 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Country of citizenship NATION indicates the person's country of citizenship. 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, other or n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo (Republic of) 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, other or n.s. 13000 Northern Africa 13010 Algeria 13011 Algeria/Tunisia 13020 Egypt/United Arab Rep. 13021 Egypt/Sudan 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, other or n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, other or n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15999 West Africa, other or n.s. 19999 Africa, other or n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21220 St. Lucia 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21999 Caribbean, other or n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, other or n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23999 South America, other or n.s. 24000 North America 24010 Bermuda 24020 Canada 24021 Canada, First Nations 24030 Greenland 24040 United States 24999 North America, other or n.s. 29999 Americas, other or n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 31999 Eastern Asia, other or n.s. 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32990 Burma, India, Pakistan, Ceylon 32999 South-Central Asia, other or n.s. 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33991 Laos and Cambodia 33992 Malaysia and Singapore 33999 South-Eastern Asia, other or n.s. 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34051 Abkhazia 34052 South Ossetia 34060 Iraq 34070 Israel 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34991 Middle East 34999 Western Asia, other or n.s. 39999 Asia, other or n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Bulgaria/Greece 41030 Czech Republic/Czechoslovakia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41992 Central-Eastern Europe 41999 Eastern Europe, other or n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42100 Svalbard and Jan Mayen Islands 42110 Sweden 42120 United Kingdom 42121 Britain 42122 Scotland 42123 Wales 42990 Nordic countries 42999 Northern Europe, other or n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovina 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43144 Serbia and Montenegro 43999 Southern Europe, other or n.s. 44000 Western Europe 44010 Austria 44011 Austro-Hungarian 44020 Belgium 44022 Belgium/Netherlands/Luxemburg 44030 France 44040 Germany 44041 East Germany 44042 West Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44999 Western Europe, other or n.s. 49992 European Union 49993 European Union (Original 15) 49994 Other European Union 49999 Europe, other or n.s. 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 52999 Melanesia, n.s. 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53999 Micronesia, other or n.s. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Western Samoa 54060 Eastern Samoa 54070 Tokelau 54080 Tonga 54090 Tuvalu 54100 Wallis and Futuna Isls. 54999 Polynesia, other or n.s. 55000 U.S. Pacific Possessions 55010 American Samoa 55020 Baker Island 55030 Guam 55040 Howland Island 55050 Johnston Atoll 55060 Kingman Reef 55070 Midway Islands 55080 Wake Island 55999 US Pacific, other or n.s. 59999 Oceania, other or n.s. 90000 Other countries n.s. 99998 No citizenship/nationality 99999 Unknown Nativity and Birthplace Variables -- PERSON Religion [general version] RELIGION indicates the person's religion, including "none." 0 NIU (not in universe) 1 No religion 2 Buddhist 3 Hindu 4 Jewish 5 Muslim 6 Christian 7 Other 9 Unknown Ethnicity and Language Variables -- PERSON Religion [detailed version] RELIGION indicates the person's religion, including "none." 0000 NIU (not in universe) 1000 No religion 1001 Atheist 1002 Agnostic 1003 Without religion 2000 Buddhist 3000 Hindu 4000 Jewish 5000 Muslim 5005 Ahmadis 5006 Sunni 6000 Christian 6001 Catholic (Roman or unspecified) 6002 Orthodox 6003 Protestant 6004 Evangelical protestant 6005 Pentecostal 6006 Adventist / Seventh-day adventist 6007 Anglican 6008 Assembly of God 6009 Baptist 6010 Church of the Nazarene 6011 Congregational 6012 Dutch Reformed 6013 Episcopalian 6014 Jehovah's Witnesses 6015 Latter Day Saints (Mormon) 6016 Lutheran 6017 Mennonite 6018 Methodist 6019 New Apostolic 6020 Presbyterian 6021 Zion Christian 6022 Moravian 6090 Other Christian, historical 6100 Other Christian, Armenia 6101 Armenia apostolic 6102 Nestorian 6103 Molokai 6104 Other Christian, Austria 6105 Old Catholic 6106 Protestant, Augsburg confession 6107 Protestant, Westminster confession 6108 Protestant, Helvetic confession 6109 Greek Oriental 6110 Armenian Apostolic 6111 Other Protestant 6112 Christian Community for renewal 6113 Christian Community, not specified 6114 Other Christian, Benin 6115 Other Christian 6116 Celestial 6117 Other Christian, Brazil 6118 Christian Congregation of Brazil 6119 Brazilian Catholic Apostolic 6120 Brazil for Christ 6121 Foursquare Gospel 6122 Universal of the Kingdom of God 6123 House of the Blessing 6124 House of Prayer 6125 God is Love 6126 Maranata 6127 Other Christian, Brazil 1991 6128 Undetermined Protestant 6129 Other traditional Protestant 6130 Neo-Christian 6131 Other Neo-Christian 6132 Undetermined Christian 6133 Other Christian, Brazil 2000 6134 Other Catholic 6135 Renewed Evangelical Protestant without institutional ties 6136 Pentecostal Evangelical without institutional ties 6137 New Life Evangelical Protestant Pentecostal 6138 Evangelical Protestant Biblical Revival Pentecostal 6139 Chain Of Prayer Pentecostal 6140 Undetermined Evangelical Protestant 6141 Religion Of God 6142 Christian without institutional ties 6143 Other Christian, Brazil 2010 6144 Salvation Army 6145 Other Christian, Canada 6146 Other Catholic 6147 United Church 6148 Protestant, not specified 6149 Other Protestant 6150 Other Christian, Cameroon 6151 Other Christian, Fiji 6152 Christian undefined 6153 Church of England 6154 Gospel Hall and Brethern 6155 Christian Mission Fellowship (CMF) or Every Home 6156 Salvation Army 6157 All Nations Christian Fellowship 6158 Apostles Gospel Outreach Fellowship 6159 Christian Outreach Centre 6160 Other Christian 6161 Other Christian, Germany 6162 Oriental Christian 6163 Other Christian, Ghana 6164 Other Christian, Iran 6165 Assyrian or Chaldean 6166 Armenian 6167 Other Christians 6168 Other Christian, Indonesia 6169 Other Christian 6170 Protestant/Other Christian 6171 Other Christian, Ireland 6172 Church of Ireland 6173 Church of Scotland 6174 Independent 6175 Unitarian 6176 Salvation Army 6177 Free Church 6178 Brethren 6179 Christian Brethren 6180 Plymouth Brethren 6181 Quaker 6182 Other Christians 6183 Other Christian, Ivory Coast 6184 Other Christian, Jamaica 6185 Brethren 6186 Church of God 6187 Church of God of Prophecy 6188 Other Church of God 6189 United Church 6190 Salvation Army 6191 New Testament 6192 Disciples of Christ 6193 Other Christian, Mauritius 6194 Christian Tamil 6195 Salvation and Healing Mission 6196 Voice of Deliverance 6197 Other Christian 6198 Other Christian, Mexico 6199 Anabaptist 6200 Calvinist 6201 Cuaquera 6202 Disciples of Christ 6203 Christian Friendship Church 6204 Prayer House Church 6205 Faith Center 6206 Agape Force Church 6207 Alpha and Omega Church 6208 Living Water Church 6209 Apostolic Church 6210 Church of God 6211 Church of God of Prophecy 6212 Complete Gospel Church 6213 Evangelical Siblings Church 6214 Upper Room Church 6215 Pentecostal Indigenous Church 6216 Angular Stone Voice Church 6217 Pentecostal Missionary 6218 Christian 6219 Christian Societies 6220 Evangelical 6221 Evangelical Societies 6222 New Testament Evangelical 6223 Pentecostal 6224 Pentecostal Societies 6225 Independent Pentecostal 6226 Evangelical Christian Societies 6227 Pentecostal Christian Societies 6228 Evangelical Pentecostal Societies 6229 Evangelical Pentecostal Christian Societies 6230 Soldiers of Christ's Cross Church 6231 Tabernacle 6232 Traditionalists 6233 Other Evangelical Pentecostal Societies 6234 Pentecostal not clearly specified 6235 Living God, Light of the World 6236 Christian and Missionary Alliance 6237 Non-Pentecostal Apostolic 6238 Evangelical Associations 6239 Biblical 6240 Confraternities 6241 Christ Church 6242 Peace Grace and Misericordia Church 6243 Open Bible Church 6244 Holiness Church 6245 Evangelical Salem Church 6246 Beautiful Woman Dressed in the Sun 6247 Messianic Church 6248 Evangelical Ministers 6249 Evangelical Missionaries 6250 Evangelical Movements 6251 New Jerusalem 6252 World Vision Church 6253 Evangelical not clearly specified 6254 Biblical - non-evangelicals 6255 Other Christians not clearly specified 6256 Assumptionist 6257 Carmelite 6258 Claretian 6259 Conception Franciscan 6260 Maronite Diocese of Mexico 6261 Dominican 6262 Servants of Mary Immaculate 6263 Franciscan 6264 Guadalupan 6265 Daughters of the Immaculate Conception 6266 Jesuit 6267 Legionaries of Christ 6268 Divine Word Missionary 6269 Pauline 6270 Sacred Heart 6271 Saint Joseph of Tarbes 6272 Servant of the Lord and the Virgin 6273 Servant of Jesus 6274 Greek Catholic Church 6275 Reformed Roman Catholic Church 6276 Mexican National Catholic Church 6277 Tridentine Latin Rite Catholic Church 6278 Priestly Society Trento 6279 Mexican Catholic Union of Trento 6280 Anabaptist / Memnonite 6281 Anglican / Episcopal 6282 House of Prayer 6283 Center of Faith, Hope and Love of the Missionary Revival Crusade 6284 Center of Faith, Hope and Love Agape Force 6285 Salvation Army 6286 Independent Pentecostal Fellowship 6287 Upper Chamber Church 6288 Faith Apostolic Church of Jesus Christ 6289 Spiritual Christian Church 6290 Pentecostal Evangelical Christian Church 6291 Interdenominational Christian Church 6292 Church of God Full Gospel in Mexico 6293 Church of Jesus Christ on the Rock 6294 Christ Evangelical Pentecostal Church Rock of my Salvation 6295 Mexican Church of Christ's Gospel Pentecost 6296 United Pentecostal Church of Mexico 6297 Universal Church of the Kingdom of God 6298 Only Christ Savior Christian Church 6299 Independent Evangelical Pentecostal Movement 6300 Prince of Peace 6301 National Union of Evangelical Christian Churches (UNICE) 6302 Union of Independent Evangelical Churches 6303 Other associations Pentecostal 6304 Church of the Living God, Pillar and Support of Truth, the Light of the World 6305 Bible Church 6306 Interdenominational Christian Church in Mexico 6307 Church of Christ 6308 Honey Church of Christ 6309 Independent Evangelical Church in Mexico 6310 Renewed Church of Jesus Christ and the Apostles of Divine Love 6311 Other Christian and Evangelical associations without Pentecostal support 6312 Faith Christian Church 6313 Traditional Apostolic Catholic Holy Church Mexico-USA 6314 Mexican Apostolic Catholic Church 6315 Elias 6316 Spiritualistic 6317 Spiritualist 6318 Marian Trinitarian Spirituality 6319 Spirituality of the Third Age 6320 Christian Spiritual 6321 Judiciary Society Reign of Leonardo Alcalá Leos 6322 Spirituality for the Divine Master and the purity of Mary 6323 Light and Hope 6324 Holy Spirit, Purity, Love and Light 6325 Christian Science 6326 Neo-Israelite Jewish Syncretic Movements 6327 Other Christian, Netherlands 6328 Reformed Churches in The Netherlands 6329 Other Reformed 6330 Other Christian, Papua New Guinea 6331 Asian Pacific Christian Mission 6332 Asutalian Church 6333 Bamu River Mission 6334 Christian Brethren Church of PNG 6335 Christian Mission of Many Lands 6336 Christian Revival Crusade 6337 Christain Union Mission 6338 Church of Christ of PNG 6339 Faith mission 6340 Four Square Gospel Mission 6341 Kwato Church 6342 Life Center 6343 Lighthouse church 6344 New Guinea Gospel Mission 6345 New Life Mission 6346 New tribes Mission 6347 Paliau Christian Native Church 6348 Rhema Fellowship 6349 Salvation Army 6350 Sovereign Grace 6351 United Church 6352 Wewak Fellowship 6353 Western Highland 6354 Independent 6355 Plymouth Brethern 6356 Tiliba Mission 6357 Tokarara Christian Fellowship 6358 Village Mission 6359 Other Christian 6360 Other Christian, Paraguay 6361 Christian Community 6362 Free Brothers 6363 Church of God 6364 Church of God of Prophecy 6365 New testament 6366 God is love 6367 Universal Church of the Kingdom of God 6368 People of God 6369 Family worship center 6370 Pseudo-Christian groups 6371 Other Christian, Philippines 6372 Aglipay 6373 Bible Christian Committees 6374 Born-again Christian 6375 Bread of Life Ministries 6376 Cathedral of Praise, Incorporated 6377 Charismatic Full Gospel Ministries 6378 Christ the Living Stone Fellowship 6379 Christian and Missionary Alliance 6380 Christians Missions 6381 Christian Reformed Church in the Philippines, Incorporated 6382 Church of Christ 6383 Crusaders of the Divine Church of Christ, Incorporated 6384 Evangelical Christian Outreach Foundation 6385 Evangelical Free Church 6386 Filipino Assemblies of the First Born Inc. 6387 Foursquare Gospel 6388 Free Believers in Christ Fellowship 6389 Free Mission in the Philippines Inc. 6390 God World Mission 6391 Good News Christian Churches 6392 IEMELIF Reform Movement 6393 Iglesia Evangelista Methodista en Las 6394 Iglesia Evangelica Unida de Cristo 6395 Iglesia ni Cristo 6396 Iglesia sa Dios Espiritu Santo, Incorporated 6397 Jesus Christ Saves Global Outreach 6398 Jesus is Alive Community, Incorporated 6399 Jesus is Lord Church 6400 Jesus Reigns Ministries 6401 Love of Christ International Ministries 6402 Other Evangelical 6403 Other Evangelical Church 6404 Other Protestants 6405 Philippine Ecumenical Christian Church 6406 Philippine Evangelical Mission 6407 Philippine Grace Gospel Fellowship 6408 Philippines Benevolent Missionaries 6409 Philippines General Council of the Assemblies of God 6410 Potter's House Christian Center 6411 Salvation Army Philippines 6412 Take the Nation for Jesus Global Ministries (Corpus Christi) 6413 UNIDA Evangelical Church 6414 Union Espiritista Cristiana de Filipinas, Incorporated 6415 United Church of Christ in the Philippines 6416 United Evangelical Church of the Philippines (Chinese) 6417 Victory Chapel Christian Fellowship 6418 Wesleyan Church 6419 World Missionary Evangelism 6420 Worldwide Church of God 6421 Zion Christian Community Church 6422 Other Christian, Portugal 6423 Other Christian, Romania 6424 Greek Catholic 6425 Reformed Church 6426 Evangelic of Augustan Confession 6427 Evangelic Synodo-Presbyterian 6428 Christian of Old Rite 6429 Christian by Gospel 6430 Evangelic 6431 Other Christian, Rwanda 2002 6432 Other Christian, Sierra Leone 6433 Other Christian, Slovak Republic 6434 Old Catholic 6435 Greek Catholic 6436 Christian Reformed 6437 Other Christian, South Africa 6438 Reformed 6439 International Fellowship of Christian Churches 6440 Apostolic Faith Mission of SA 6441 Other Apostolic Churches 6442 Pinkster Protestant Church 6443 Afrikaanse Protestant Church 6444 Full Gospel Church of God in Southern Africa 6445 Pentecostal Churches 6446 Salvation Army 6447 Bandla Lama Nazaretha 6448 African Methodist Episcopal Church 6449 St John's Apostolic Church 6450 International Pentecost Church 6451 Ethiopian type churches 6452 Ethnic churches 6453 Other African Independent Churches 6454 Other Christian Churches 6455 Other Catholic Churches 6456 Other Pentecostal Churches 6457 Other Orthodox Churches 6458 Other African Apostolic churches 6459 Other Assemblies 6460 Christian Scientist 6461 Christian Centres 6462 Other Evangelical Churches 6463 Other Charismatic Churches 6464 Just a Christian or non-denominational 6465 Other 6466 Other Christian, Suriname 6467 Other Christian 6468 Other Christian, Saint Lucia 6469 Church of God 6470 Other Christian, Senegal 6471 Other Christian 6472 Other Christian, Switzerland 6473 Other protestant churches and communities 6474 Christ-Catholic church 6475 Other Christian communities 6476 Other Christian, Trinidad and Tobago 6477 Church of God 6478 African Methodist Espiscopalians 6479 Brethren, Christian or Plymouth 6480 Church of Christ 6481 Gospel Hall or Gospel Missionary 6482 Nazarenes 6483 Pilgrim Holiness 6484 Ethiopian Orthodox 6485 Open Bible Church 6486 Assemblies of Yahweh 6487 Evangelical Church of West Indies 6488 Christadelphian 6489 Full Gospel Fellowship 6490 Dutch Reform 6491 Christian Brotherhood Assembly 6492 Other Christian, Uganda 6493 Other Christian 6494 Salvation Army 6495 Other Christian non-Catholic, Uruguay 6496 Other Christian non-Catholic, Guatemala 6497 Other Christian, Togo 7000 Other 7001 Bahai 7002 Sikh 7003 Rastafarian 7100 Other, Armenia 7101 Pagan 7102 Shar-fadinian 7103 Other, Austria 7104 Unification Church, Austria 7105 Other, Benin 7106 Traditional 7107 Vodoun 7108 Other, Botswana 7109 Badimo 7110 Other, Brazil 7111 Spiritist 7112 Kardecist Spiritist 7113 Afro Spiritist 7114 Mediumistic Spiritist 7115 Umbandist Mediumistic 7116 Candomblecist Mediumistic 7117 Other Afro-Brazilian 7118 Oriental, Brazil 7119 New Oriental 7120 Oriental Seicho No-le 7121 Other Oriental, Brazil 7122 Esoteric, Brazil 7123 Indigenous, Brazil 7124 Other minority groups, Brazil 7125 Other, Burkina Faso 7126 Animist 7127 Other, Cameroon 7128 Animist 7129 Other, Canada 7130 Eastern religions, Canada 7131 Other, Chile 7132 Theosophism 7133 Shintoism 7134 Other, Ethiopia 7135 Traditional 7136 Other, Ethiopia 7137 Other, Fiji 7138 Confucian 7139 Kabir Panthi 7140 Satya Sai Baba 7141 Bahai 7142 Other non-Christian, Fiji 7143 Other, Germany 7144 Other, Germany 7145 Other, Ghana 7146 Traditional, Ghana 7147 Other, Guinea 7148 Animist 7149 Other, Guinea 7150 Other, Haiti 7151 Voodoo 7152 Other, India 7153 Jainism 7154 Zoroastrianism 7155 Other, India 7156 Other, Indonesia 7157 Confucianism 7158 Other, Indonesia 7159 Other, Iran 7160 Zoroastrian 7161 Other, Iran 7162 Other, Ivory Coast 7163 Animist 7164 Harrist 7165 Other, Jamaica 7166 Muslim/Hindu 7167 Other, Israel 7168 Druse 7169 Other, Israel 7170 Other, Laos 7171 Animist 7172 Other, Liberia 7173 Traditional 7174 Other, Malaysia 7175 Confucianism/Taoism 7176 Tribal/Folk religion, Malaysia 7177 Other, Mali 7178 Animist 7179 Other, Mexico 7180 Brahmanism 7181 Hare Krishna 7182 Shintoism 7183 Taoism 7184 Mexican Movements 7185 Ananda Marga 7186 Church of Scientology 7187 Masons 7188 Raelian Movement 7189 New Age Movement 7190 Neoisraelites 7191 Occultists 7192 Palmar of Troya 7193 Rose Cross 7194 Theosophism 7195 Spiritualist Special Keys 7196 Onkaranada Center 7197 Confucianism 7198 Shia 7199 Universal Great Brotherhood 7200 Esoteric Science 7201 Gnosticism 7202 Metaphysics 7203 Wicca 7204 Shamanism 7205 The Custom 7206 Mexicayotl 7207 Restorative Confederate Movement of Anahuac Culture 7208 African Origin 7209 Indigenous Religions 7210 Growing in Grace 7211 Eckankar 7212 Transcendental Meditation 7213 Mission Branch 7214 Children of God 7215 Sri Sathya Sai Baba 7216 Other religions from Asia 7217 Ethnic roots 7218 Afro roots 7219 Popular cults 7220 Other new religious movements 7221 Other, Nepal 7222 Kirat 7223 Jain 7224 Garaute 7225 Tap jura 7226 Bon 7227 Prakriti 7228 Other, Nigeria 7229 Traditional 7230 Other, Pakistan 7231 Ahmadi 7232 Parsi 7233 Scheduled caste 7234 Other, Paraguay 7235 Philosophical revelations 7236 Indigenous religion 7237 Reyukai 7238 Other, Paraguay 7239 Other, Philippines 7240 Door of Faith 7241 Faith Tabernacle Church (Living Rock Ministries) 7242 Iglesia Filipina Independiente 7243 International One Way Outreach 7244 Miracle Life Fellowship International 7245 Miracle Revival Church of the Philippines 7246 Philippine Good News Ministries 7247 Philippine Missionary fellowship 7248 Things to Come 7249 Way of Salvation 7250 Word of the World 7251 Word International Ministries 7252 Tribal Religions, Philippines 7253 Other, Romania 7254 Unitarian 7255 Armenian 7256 Mosaic 7257 Other, Romania 7258 Other, Rwanda 7259 Traditional religion, Rwanda 7260 Other, Rwanda 7261 Other, Sierra Leone 7262 Traditional religion, Sierra Leone 7263 Other, South Africa 7264 African traditional belief 7265 Taoist 7266 Confucian 7267 New Age 7268 Winti 7269 Javanism 7270 Other non-Christian, S. Africa 7271 Other, Suriname 7272 Javanism 7273 Traditional 7274 Winti 7275 Other, Thailand 7276 Confucian 7277 Other, Trinidad and Tobago 7278 Pocamania or Shango 7279 Orisha 7280 Other, Uganda 7281 Traditional religion 7282 Mammon 7283 Other non-Christian, Uganda 7284 Other, United Kindom 7285 Other, Uruguay 7286 Umbanda/other Afro-American 7287 Other, Uruguay 7288 Other, Vietnam 7289 Cao Dai 7290 Cham Brahmin 7296 Other, Togo 7297 Animist 7900 Other, not elsewhere classified 9999 Unknown Ethnicity and Language Variables -- PERSON School attendance SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census. 0 NIU (not in universe) 1 Yes 2 No, not specified 3 No, attended in the past 4 No, never attended 9 Unknown/missing Education Variables -- PERSON Educational attainment, international recode [general version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 0 NIU (not in universe) 1 Less than primary completed 2 Primary completed 3 Secondary completed 4 University completed 9 Unknown Education Variables -- PERSON Educational attainment, international recode [detailed version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 000 NIU (not in universe) 100 Less than primary completed (n.s.) 110 No schooling 120 Some primary completed 130 Primary (4 yrs) completed 211 Primary (5 yrs) completed 212 Primary (6 yrs) completed 221 Lower secondary general completed 222 Lower secondary technical completed 311 Secondary, general track completed 312 Some college completed 320 Secondary or post-secondary technical completed 321 Secondary, technical track completed 322 Post-secondary technical education 400 University completed 999 Unknown/missing Education Variables -- PERSON Educational attainment, Germany EDUCDE indicates the person's educational attainment in Germany in terms of the level of schooling completed. 00 NIU (not in universe) 10 Some elementary education (grade 8 or less) 20 Completed primary 21 Completed grade 10 30 Secondary with access to university 31 Part-time vocational 32 Full-time vocational 33 Technical school 34 Semi-skilled worker certificate 35 Skilled worker certificate 36 Master craftsman certificate 40 Engineering or technical college 50 University 99 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 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 Has a secondary or additional jobs WRKADD indicates whether the respondent has more than one job. 1 No, only 1 job 2 Yes, has 2+ jobs 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Full-time or part-time work HRSFULL indicates whether the respondent worked full-time or part-time. 0 NIU (not in universe) 1 Part-time 2 Full-time 9 Unknown Work Variables -- PERSON Means of transportation to work or school TRNWRK identifies the primary or usual means of transportation the person took either to work or school. In censuses in which a person could report multiple modes of transportation, TRNWRK includes only the first response. 00 NIU (not in universe) 10 None, does not travel to work or school 20 Walking 21 Walks or bicycle 22 Walks, bicycle, or motorcycle 30 Private vehicle 31 Auto, truck, van 32 Auto (driver) 33 Auto (passenger) 34 Auto, motorcycle, moped 35 Motorcycle, moped, or scooter 36 Bicycle 37 Bicycle or motorcycle/moped 38 Boat 40 Public transportation 41 Bus or trolley bus 42 Bus or streetcar 43 Streetcar or trolley car 44 Railroad or train 45 Subway or elevated train 46 Other public transportation 50 Other 51 Taxicab 52 Ferryboat 53 Special transportation (company coach, school bus, etc.) 54 Hired transport 55 Shared private transport 56 Horse or animal-drawn vehicle 57 Other, not elsewhere classified 60 Combination of several means 99 Unknown/missing Work Variables -- PERSON Source of livelihood INCSRC indicates the respondent's primary source of livelihood, whether from work, benefits, or various other categories. 01 Work 02 Property or entrepreneurial income 03 Pension 04 Unemployment benefits 05 Illness or disability benefits 06 Other social support 07 Under state security or care 08 Scholarship 09 Apprenticeship 10 Credits, savings, or capital sale 11 Household support (dependent) 12 Assistance from relatives in country 13 Assistance from relatives, acquintances abroad 14 Multiple sources 15 Other 98 Unknown Income Variables -- PERSON Person number (within household) Germany 1987: All households This variable indicates the person number (within 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 Indicator for reference person in household Germany 1987: All persons This variable is the indicator of the reference person in household. 1 No 2 Reference person in household (contributes predominantly to the livelihood of the household) Technical Person Variables -- PERSON Year of birth <svar v="DE87A405 DE87A406 DE87A407 DE87A408 DE87A409 DE87A410 DE87A411 DE87A412 DE87A413 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A420"><span class="em">For all persons</span><br />[Questions 1-8 were asked to all persons]<br /></svar></p> <p><svar v="DE87A072 DE87A073 DE87A074 DE87A075 DE87A076 DE87A088 DE87A089 DE87A090 DE87A092 DE87A405 DE87A440 DE87A454 DE87A455 DE87A456" a="DE87A088 DE87A089 DE87A090 DE87A092 DE87A405 DE87A440 DE87A454 DE87A455 DE87A456">1. Date of birth<br /><div class="i1">____a) Year of birth<br /><br />b) Month of birth</div><br /><div class="i2">[] 1 Jan. to 24 May<br />[] 25 May to 31 Dec.</div><br /></svar> Germany 1987: All persons This variable indicates the year of birth of the person. 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 Demographic Variables -- PERSON Sex <svar v="DE87A405 DE87A406 DE87A407 DE87A408 DE87A409 DE87A410 DE87A411 DE87A412 DE87A413 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A420"><span class="em">For all persons</span><br />[Questions 1-8 were asked to all persons]<br /></svar></p> <p><svar v="DE87A406" a="all">2. Sex<br /><div class="i1">[] 1 Male<br />[] 2 Female</div><br /></svar> Germany 1987: All persons This variable indicates the sex of the person. 1 Male 2 Female Demographic Variables -- PERSON Marital status <svar v="DE87A405 DE87A406 DE87A407 DE87A408 DE87A409 DE87A410 DE87A411 DE87A412 DE87A413 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A420"><span class="em">For all persons</span><br />[Questions 1-8 were asked to all persons]<br /></svar></p> <p><svar v="DE87A072 DE87A073 DE87A074 DE87A075 DE87A076 DE87A077 DE87A078 DE87A407 DE87A441" a="all">3. Marital status<br /><div class="i1">[] 1 Single<br />[] 2 Married<br />[] 3 Widowed<br />[] 4 Divorced</div><br /></svar> Germany 1987: All persons This variable indicates the marital status of the person. 1 Single 2 Married 3 Widowed 4 Divorced Demographic Variables -- PERSON Legal affiliation with a religious community <svar v="DE87A095 DE87A408 DE87A457"><span class="em">Question 4: Legal affiliation with a religious denomination</span><br />Free protestant churches include (among others): the Union of Evangelical Free-Church Communities (Baptists), the Evangelical Methodist Church, the Union of Free Evangelical Communities in Germany and the Association of German Mennonite Communities. "Other religious communities" also include the Old Catholics, the Greek Orthodox and Seventh-Day Adventists.<br /></svar></p> <p><svar v="DE87A405 DE87A406 DE87A407 DE87A408 DE87A409 DE87A410 DE87A411 DE87A412 DE87A413 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A420"><span class="em">For all persons</span><br />[Questions 1-8 were asked to all persons]<br /></svar></p> <p><svar v="DE87A095 DE87A408 DE87A457" a="all">4. Legal affiliation with a religious community<br /><div class="i1">[] 1 Roman-Catholic church<br />[] 2 Protestant church<br />[] 3 Free Protestant church<br />[] 4 Jewish religious community<br />[] 5 Islamic religious community<br />[] 6 Other religious communities<br />[] 7 No legal affiliation with a religious community</div><br /></svar> Germany 1987: All persons This variable indicates the person's legal affiliation with a religious community. 1 Roman Catholic church 2 Protestant church 3 Free Protestant church 4 Jewish religious community 5 Islamic religious community 6 Other religious communities 7 No legal affiliation with a religious community 9 Unknown Ethnicity and Language Variables -- PERSON Citizenship <svar v="DE87A094 DE87A409 DE87A443"><span class="em">Question 5: What is your citizenship?</span><br />If another citizenship exists in addition to the German citizenship, mark "German". Stateless persons or those whose citizenship is undetermined should mark "others/none". The "other EC countries" include: Belgium, Denmark, France, Great Britain and Northern Ireland, Ireland, Luxembourg, the Netherlands, Portugal, and Spain.<br /></svar></p> <p><svar v="DE87A405 DE87A406 DE87A407 DE87A408 DE87A409 DE87A410 DE87A411 DE87A412 DE87A413 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A420"><span class="em">For all persons</span><br />[Questions 1-8 were asked to all persons]<br /></svar></p> <p><svar v="DE87A094 DE87A409 DE87A443" a="all">5. What is your citizenship?<br /><div class="i1">[] 1 German<br />[] 2 Greek<br />[] 3 Italian<br />[] 4 Other European Community countries<br />[] 5 Yugoslav<br />[] 6 Turkish<br />[] 7 Others/none</div><br /></svar> Germany 1987: All persons This variable indicates the citizenship of the person. 1 German 2 Greek 3 Italian 4 Other European Community countries 5 Yugoslav 6 Turkish 7 Others/none Nativity and Birthplace Variables -- PERSON Occupancy of other dwelling (accommodation/room) in FRG including Berlin (West) <svar v="DE87A410 DE87A411 DE87A412 DE87A413 DE87A434"><span class="em">Question 6: Do you occupy an additional dwelling?</span><br />The term "this dwelling" refers to the dwelling for which the present personal questionnaire is completed.<br /><br />The term "another dwelling" (accommodation/room) may also refer to furnished rooms at the place of work or training/education.<br /><br />For persons completing compulsory military service and those called up for military exercises, the barracks are not to be considered another dwelling. Persons having an additional dwelling or accommodation aboard a ship should mark "no" for question 6 (exception: permanently anchored houseboats).<br /><br />For married persons who are not permanently living separate, the dwelling predominantly used by the family must be considered the main dwelling, according to the registration law. This applies to weekend or monthly commuters and workers at distant construction sites. For all other persons (singles, widowed, divorced and married persons living permanently separate) the registration law specifies that the dwelling predominantly used is the main dwelling. In cases of doubt, the predominately used dwelling is the one constituting the focus of a person's life.<br /></svar></p> <p><svar v="DE87A405 DE87A406 DE87A407 DE87A408 DE87A409 DE87A410 DE87A411 DE87A412 DE87A413 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A420"><span class="em">For all persons</span><br />[Questions 1-8 were asked to all persons]<br /></svar></p> <p><svar v="DE87A410 DE87A411 DE87A412 DE87A413 DE87A434" a="all">6. Do you occupy a further dwelling (accommodation/room) in the Federal Republic of Germany, including Berlin (West)?<br /><div class="i1">[] 1 No<br />[] 2 Yes</div><br /><br /><div class="i1">If yes:<br />a) For married persons who are not permanently living separate: Is this dwelling here the one which is predominantly used by the family</div><br /><div class="i2">[] 1 No<br />[] 2 Yes</div><br /><div class="i1">b) For all other persons: Is this dwelling here the one which is predominantly used?</div><br /><div class="i2">[] 1 No<br />[] 2 Yes</div><br /><div class="i1">c) Additional question for economically active persons, pupils/students: Do you predominantly go to work or school/university from this dwelling?</div><br /><div class="i2">[] 1 No<br />[] 2 Yes</div><br /></svar> Germany 1987: All persons This variable indicates whether the person occupied other dwelling (accommodation/room) in FRG including Berlin (West). 1 No 2 Yes Other Person Variables -- PERSON Occupancy of other dwelling predominantly used by the family, for non-separated married persons <svar v="DE87A410 DE87A411 DE87A412 DE87A413 DE87A434"><span class="em">Question 6: Do you occupy an additional dwelling?</span><br />The term "this dwelling" refers to the dwelling for which the present personal questionnaire is completed.<br /><br />The term "another dwelling" (accommodation/room) may also refer to furnished rooms at the place of work or training/education.<br /><br />For persons completing compulsory military service and those called up for military exercises, the barracks are not to be considered another dwelling. Persons having an additional dwelling or accommodation aboard a ship should mark "no" for question 6 (exception: permanently anchored houseboats).<br /><br />For married persons who are not permanently living separate, the dwelling predominantly used by the family must be considered the main dwelling, according to the registration law. This applies to weekend or monthly commuters and workers at distant construction sites. For all other persons (singles, widowed, divorced and married persons living permanently separate) the registration law specifies that the dwelling predominantly used is the main dwelling. In cases of doubt, the predominately used dwelling is the one constituting the focus of a person's life.<br /></svar></p> <p><svar v="DE87A405 DE87A406 DE87A407 DE87A408 DE87A409 DE87A410 DE87A411 DE87A412 DE87A413 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A420"><span class="em">For all persons</span><br />[Questions 1-8 were asked to all persons]<br /></svar></p> <p><svar v="DE87A410 DE87A411 DE87A412 DE87A413 DE87A434" a="all">6. Do you occupy a further dwelling (accommodation/room) in the Federal Republic of Germany, including Berlin (West)?<br /><div class="i1">[] 1 No<br />[] 2 Yes</div><br /><br /><div class="i1">If yes:<br />a) For married persons who are not permanently living separate: Is this dwelling here the one which is predominantly used by the family</div><br /><div class="i2">[] 1 No<br />[] 2 Yes</div><br /><div class="i1">b) For all other persons: Is this dwelling here the one which is predominantly used?</div><br /><div class="i2">[] 1 No<br />[] 2 Yes</div><br /><div class="i1">c) Additional question for economically active persons, pupils/students: Do you predominantly go to work or school/university from this dwelling?</div><br /><div class="i2">[] 1 No<br />[] 2 Yes</div><br /></svar> Germany 1987: Married persons who occupied other dwelling in FRG [discrepancies: type I trace; type II 0.2%] This variable indicates whether the other dwelling in FRG was predominantly used by the family (for non-separated married persons). 1 No 2 Yes 8 Unknown 9 NIU (Not in universe) Other Person Variables -- PERSON Occupancy of other dwelling predominantly used, for non-married persons <svar v="DE87A410 DE87A411 DE87A412 DE87A413 DE87A434"><span class="em">Question 6: Do you occupy an additional dwelling?</span><br />The term "this dwelling" refers to the dwelling for which the present personal questionnaire is completed.<br /><br />The term "another dwelling" (accommodation/room) may also refer to furnished rooms at the place of work or training/education.<br /><br />For persons completing compulsory military service and those called up for military exercises, the barracks are not to be considered another dwelling. Persons having an additional dwelling or accommodation aboard a ship should mark "no" for question 6 (exception: permanently anchored houseboats).<br /><br />For married persons who are not permanently living separate, the dwelling predominantly used by the family must be considered the main dwelling, according to the registration law. This applies to weekend or monthly commuters and workers at distant construction sites. For all other persons (singles, widowed, divorced and married persons living permanently separate) the registration law specifies that the dwelling predominantly used is the main dwelling. In cases of doubt, the predominately used dwelling is the one constituting the focus of a person's life.<br /></svar></p> <p><svar v="DE87A405 DE87A406 DE87A407 DE87A408 DE87A409 DE87A410 DE87A411 DE87A412 DE87A413 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A420"><span class="em">For all persons</span><br />[Questions 1-8 were asked to all persons]<br /></svar></p> <p><svar v="DE87A410 DE87A411 DE87A412 DE87A413 DE87A434" a="all">6. Do you occupy a further dwelling (accommodation/room) in the Federal Republic of Germany, including Berlin (West)?<br /><div class="i1">[] 1 No<br />[] 2 Yes</div><br /><br /><div class="i1">If yes:<br />a) For married persons who are not permanently living separate: Is this dwelling here the one which is predominantly used by the family</div><br /><div class="i2">[] 1 No<br />[] 2 Yes</div><br /><div class="i1">b) For all other persons: Is this dwelling here the one which is predominantly used?</div><br /><div class="i2">[] 1 No<br />[] 2 Yes</div><br /><div class="i1">c) Additional question for economically active persons, pupils/students: Do you predominantly go to work or school/university from this dwelling?</div><br /><div class="i2">[] 1 No<br />[] 2 Yes</div><br /></svar> Germany 1987: Non-married persons who occupied other dwelling in FRG [discrepancies: type I 0.2%; type II trace] This variable indicates whether the other dwelling in FRG was predominantly used (for non-married persons). 1 No 2 Yes 8 Unknown 9 NIU (Not in universe) Other Person Variables -- PERSON Predominantly go to work or school from this dwelling <svar v="DE87A410 DE87A411 DE87A412 DE87A413 DE87A434"><span class="em">Question 6: Do you occupy an additional dwelling?</span><br />The term "this dwelling" refers to the dwelling for which the present personal questionnaire is completed.<br /><br />The term "another dwelling" (accommodation/room) may also refer to furnished rooms at the place of work or training/education.<br /><br />For persons completing compulsory military service and those called up for military exercises, the barracks are not to be considered another dwelling. Persons having an additional dwelling or accommodation aboard a ship should mark "no" for question 6 (exception: permanently anchored houseboats).<br /><br />For married persons who are not permanently living separate, the dwelling predominantly used by the family must be considered the main dwelling, according to the registration law. This applies to weekend or monthly commuters and workers at distant construction sites. For all other persons (singles, widowed, divorced and married persons living permanently separate) the registration law specifies that the dwelling predominantly used is the main dwelling. In cases of doubt, the predominately used dwelling is the one constituting the focus of a person's life.<br /></svar></p> <p><svar v="DE87A405 DE87A406 DE87A407 DE87A408 DE87A409 DE87A410 DE87A411 DE87A412 DE87A413 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A420"><span class="em">For all persons</span><br />[Questions 1-8 were asked to all persons]<br /></svar></p> <p><svar v="DE87A410 DE87A411 DE87A412 DE87A413 DE87A434" a="all">6. Do you occupy a further dwelling (accommodation/room) in the Federal Republic of Germany, including Berlin (West)?<br /><div class="i1">[] 1 No<br />[] 2 Yes</div><br /><br /><div class="i1">If yes:<br />a) For married persons who are not permanently living separate: Is this dwelling here the one which is predominantly used by the family</div><br /><div class="i2">[] 1 No<br />[] 2 Yes</div><br /><div class="i1">b) For all other persons: Is this dwelling here the one which is predominantly used?</div><br /><div class="i2">[] 1 No<br />[] 2 Yes</div><br /><div class="i1">c) Additional question for economically active persons, pupils/students: Do you predominantly go to work or school/university from this dwelling?</div><br /><div class="i2">[] 1 No<br />[] 2 Yes</div><br /></svar> Germany 1987: Persons who occupied other dwelling in FRG [discrepancies: type I none; type II 1.4%] This variable indicates the person predominantly went to work or school from this other dwelling in FRG. 1 No 2 Yes 8 Unknown 9 NIU (Not in universe) Other Person Variables -- PERSON Economically active full time (over 36 hours per week) <svar v="DE87A081 DE87A087 DE87A097 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A436 DE87A439 DE87A447"><span class="em">Question 7: Are you economically active, unemployed?</span><br />Persons who are part of an employment/service relationship, pursue an independent trade, practice a liberal profession, or work as family workers are considered economically active. Persons participating in programs aimed at further education, retraining/reeducation and rehabilitation and are in possession of a work contract should also mark "economically active". Services performed on an honorary basis are not considered an economic activity.<br /><br />"Economically active up to 36 hours per week" should also be marked if work is performed by the hour, half days or on certain days of the week only.<br /><br />Unemployed persons who are earning some money on the side should mark "economically active up to 36 hours per week" in addition to "unemployed, looking for work."<br /><br />Juveniles in their first year of vocational training who do not have a contract of employment/training should mark both "not economically active" and "pupil, student".<br /></svar></p> <p><svar v="DE87A405 DE87A406 DE87A407 DE87A408 DE87A409 DE87A410 DE87A411 DE87A412 DE87A413 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A420"><span class="em">For all persons</span><br />[Questions 1-8 were asked to all persons]<br /></svar></p> <p><svar v="DE87A081 DE87A087 DE87A097 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A436 DE87A439 DE87A447" a="all">7. Are you:<br /><div class="i1">Several answers are possible<br /><br />[] Economically active (1) full-time (over 36 hours (2) per week)<br />[] Economically active (1) part-time (up to 36 hours (2) per week)<br />[] Unemployed, looking for work<br />[] Not economically active<br />[] Housewife, "houseman"<br />[] Pupil, student<br /><br />(1) = Also farmer, family worker, apprentice, soldier, person doing civilian alternative service<br />(2) = Based on the number of hours normally worked during a week</div><br /></svar> Germany 1987: All persons This variable indicates whether the person was economically active and worked full-time (over 36 hours per week). 0 No 1 Yes Work Variables -- PERSON Economically active part-time (up to 36 hours per week) <svar v="DE87A081 DE87A087 DE87A097 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A436 DE87A439 DE87A447"><span class="em">Question 7: Are you economically active, unemployed?</span><br />Persons who are part of an employment/service relationship, pursue an independent trade, practice a liberal profession, or work as family workers are considered economically active. Persons participating in programs aimed at further education, retraining/reeducation and rehabilitation and are in possession of a work contract should also mark "economically active". Services performed on an honorary basis are not considered an economic activity.<br /><br />"Economically active up to 36 hours per week" should also be marked if work is performed by the hour, half days or on certain days of the week only.<br /><br />Unemployed persons who are earning some money on the side should mark "economically active up to 36 hours per week" in addition to "unemployed, looking for work."<br /><br />Juveniles in their first year of vocational training who do not have a contract of employment/training should mark both "not economically active" and "pupil, student".<br /></svar></p> <p><svar v="DE87A405 DE87A406 DE87A407 DE87A408 DE87A409 DE87A410 DE87A411 DE87A412 DE87A413 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A420"><span class="em">For all persons</span><br />[Questions 1-8 were asked to all persons]<br /></svar></p> <p><svar v="DE87A081 DE87A087 DE87A097 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A436 DE87A439 DE87A447" a="all">7. Are you:<br /><div class="i1">Several answers are possible<br /><br />[] Economically active (1) full-time (over 36 hours (2) per week)<br />[] Economically active (1) part-time (up to 36 hours (2) per week)<br />[] Unemployed, looking for work<br />[] Not economically active<br />[] Housewife, "houseman"<br />[] Pupil, student<br /><br />(1) = Also farmer, family worker, apprentice, soldier, person doing civilian alternative service<br />(2) = Based on the number of hours normally worked during a week</div><br /></svar> Germany 1987: All persons This variable indicates the person was economically active and worked part-time (up to 36 hours per week). 0 No 1 Yes Work Variables -- PERSON Unemployed, looking for work <svar v="DE87A081 DE87A087 DE87A097 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A436 DE87A439 DE87A447"><span class="em">Question 7: Are you economically active, unemployed?</span><br />Persons who are part of an employment/service relationship, pursue an independent trade, practice a liberal profession, or work as family workers are considered economically active. Persons participating in programs aimed at further education, retraining/reeducation and rehabilitation and are in possession of a work contract should also mark "economically active". Services performed on an honorary basis are not considered an economic activity.<br /><br />"Economically active up to 36 hours per week" should also be marked if work is performed by the hour, half days or on certain days of the week only.<br /><br />Unemployed persons who are earning some money on the side should mark "economically active up to 36 hours per week" in addition to "unemployed, looking for work."<br /><br />Juveniles in their first year of vocational training who do not have a contract of employment/training should mark both "not economically active" and "pupil, student".<br /></svar></p> <p><svar v="DE87A405 DE87A406 DE87A407 DE87A408 DE87A409 DE87A410 DE87A411 DE87A412 DE87A413 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A420"><span class="em">For all persons</span><br />[Questions 1-8 were asked to all persons]<br /></svar></p> <p><svar v="DE87A081 DE87A087 DE87A097 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A436 DE87A439 DE87A447" a="all">7. Are you:<br /><div class="i1">Several answers are possible<br /><br />[] Economically active (1) full-time (over 36 hours (2) per week)<br />[] Economically active (1) part-time (up to 36 hours (2) per week)<br />[] Unemployed, looking for work<br />[] Not economically active<br />[] Housewife, "houseman"<br />[] Pupil, student<br /><br />(1) = Also farmer, family worker, apprentice, soldier, person doing civilian alternative service<br />(2) = Based on the number of hours normally worked during a week</div><br /></svar> Germany 1987: All persons This variable indicates the person was unemployed and was looking for work. 0 No 1 Yes Work Variables -- PERSON Not economically active <svar v="DE87A081 DE87A087 DE87A097 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A436 DE87A439 DE87A447"><span class="em">Question 7: Are you economically active, unemployed?</span><br />Persons who are part of an employment/service relationship, pursue an independent trade, practice a liberal profession, or work as family workers are considered economically active. Persons participating in programs aimed at further education, retraining/reeducation and rehabilitation and are in possession of a work contract should also mark "economically active". Services performed on an honorary basis are not considered an economic activity.<br /><br />"Economically active up to 36 hours per week" should also be marked if work is performed by the hour, half days or on certain days of the week only.<br /><br />Unemployed persons who are earning some money on the side should mark "economically active up to 36 hours per week" in addition to "unemployed, looking for work."<br /><br />Juveniles in their first year of vocational training who do not have a contract of employment/training should mark both "not economically active" and "pupil, student".<br /></svar></p> <p><svar v="DE87A405 DE87A406 DE87A407 DE87A408 DE87A409 DE87A410 DE87A411 DE87A412 DE87A413 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A420"><span class="em">For all persons</span><br />[Questions 1-8 were asked to all persons]<br /></svar></p> <p><svar v="DE87A081 DE87A087 DE87A097 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A436 DE87A439 DE87A447" a="all">7. Are you:<br /><div class="i1">Several answers are possible<br /><br />[] Economically active (1) full-time (over 36 hours (2) per week)<br />[] Economically active (1) part-time (up to 36 hours (2) per week)<br />[] Unemployed, looking for work<br />[] Not economically active<br />[] Housewife, "houseman"<br />[] Pupil, student<br /><br />(1) = Also farmer, family worker, apprentice, soldier, person doing civilian alternative service<br />(2) = Based on the number of hours normally worked during a week</div><br /></svar> Germany 1987: All persons This variable indicates the person was not economically active. 0 No 1 Yes Work Variables -- PERSON Housewife/houseman <svar v="DE87A081 DE87A087 DE87A097 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A436 DE87A439 DE87A447"><span class="em">Question 7: Are you economically active, unemployed?</span><br />Persons who are part of an employment/service relationship, pursue an independent trade, practice a liberal profession, or work as family workers are considered economically active. Persons participating in programs aimed at further education, retraining/reeducation and rehabilitation and are in possession of a work contract should also mark "economically active". Services performed on an honorary basis are not considered an economic activity.<br /><br />"Economically active up to 36 hours per week" should also be marked if work is performed by the hour, half days or on certain days of the week only.<br /><br />Unemployed persons who are earning some money on the side should mark "economically active up to 36 hours per week" in addition to "unemployed, looking for work."<br /><br />Juveniles in their first year of vocational training who do not have a contract of employment/training should mark both "not economically active" and "pupil, student".<br /></svar></p> <p><svar v="DE87A405 DE87A406 DE87A407 DE87A408 DE87A409 DE87A410 DE87A411 DE87A412 DE87A413 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A420"><span class="em">For all persons</span><br />[Questions 1-8 were asked to all persons]<br /></svar></p> <p><svar v="DE87A081 DE87A087 DE87A097 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A436 DE87A439 DE87A447" a="all">7. Are you:<br /><div class="i1">Several answers are possible<br /><br />[] Economically active (1) full-time (over 36 hours (2) per week)<br />[] Economically active (1) part-time (up to 36 hours (2) per week)<br />[] Unemployed, looking for work<br />[] Not economically active<br />[] Housewife, "houseman"<br />[] Pupil, student<br /><br />(1) = Also farmer, family worker, apprentice, soldier, person doing civilian alternative service<br />(2) = Based on the number of hours normally worked during a week</div><br /></svar> Germany 1987: All persons This variable indicates the person was a housewife/houseman. 0 No 1 Yes Work Variables -- PERSON Pupil / student <svar v="DE87A081 DE87A087 DE87A097 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A436 DE87A439 DE87A447"><span class="em">Question 7: Are you economically active, unemployed?</span><br />Persons who are part of an employment/service relationship, pursue an independent trade, practice a liberal profession, or work as family workers are considered economically active. Persons participating in programs aimed at further education, retraining/reeducation and rehabilitation and are in possession of a work contract should also mark "economically active". Services performed on an honorary basis are not considered an economic activity.<br /><br />"Economically active up to 36 hours per week" should also be marked if work is performed by the hour, half days or on certain days of the week only.<br /><br />Unemployed persons who are earning some money on the side should mark "economically active up to 36 hours per week" in addition to "unemployed, looking for work."<br /><br />Juveniles in their first year of vocational training who do not have a contract of employment/training should mark both "not economically active" and "pupil, student".<br /></svar></p> <p><svar v="DE87A405 DE87A406 DE87A407 DE87A408 DE87A409 DE87A410 DE87A411 DE87A412 DE87A413 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A420"><span class="em">For all persons</span><br />[Questions 1-8 were asked to all persons]<br /></svar></p> <p><svar v="DE87A081 DE87A087 DE87A097 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A436 DE87A439 DE87A447" a="all">7. Are you:<br /><div class="i1">Several answers are possible<br /><br />[] Economically active (1) full-time (over 36 hours (2) per week)<br />[] Economically active (1) part-time (up to 36 hours (2) per week)<br />[] Unemployed, looking for work<br />[] Not economically active<br />[] Housewife, "houseman"<br />[] Pupil, student<br /><br />(1) = Also farmer, family worker, apprentice, soldier, person doing civilian alternative service<br />(2) = Based on the number of hours normally worked during a week</div><br /></svar> Germany 1987: All persons This variable indicates the person was a pupil/student. 0 No 1 Yes Work Variables -- PERSON Main source of living <svar v="DE87A079 DE87A080 DE87A086 DE87A420 DE87A444"><span class="em">Question 8: Your main source of livelihood</span><br />The source of subsistence which provides the largest part of livelihood must be marked solely by direct recipients or persons entitled, but not by family members. If applicable, they should mark, "support, maintenance by parents, husband/wife, etc." Scholarships should be marked as "other benefits" (e.g., social assistance, Federal Law on the Promotion of Education/Training); the same applies to the maintenance grants provided under the work promotion law for retraining and further education as well as for employment and occupation for the promotion of handicapped persons.<br /></svar></p> <p><svar v="DE87A405 DE87A406 DE87A407 DE87A408 DE87A409 DE87A410 DE87A411 DE87A412 DE87A413 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A420"><span class="em">For all persons</span><br />[Questions 1-8 were asked to all persons]<br /></svar></p> <p><svar v="DE87A079 DE87A080 DE87A086 DE87A420 DE87A444" a="all">8. Your main source of livelihood?<br /><div class="i1">[] 1 Economic/occupational activity<br />[] 2 Unemployment benefits or relief<br />[] 3 Pension, etc.<br />[] 4 Own property, letting leasing, provision for aged persons<br />[] 5 Support, maintenance by parents, husband/wife, etc.<br />[] 6 Other benefits (e.g., social assistance)</div><br /></svar> Germany 1987: All persons This variable indicates the main source of living of the person. 1 Economic/occupational activity 2 Unemployment benefits or relief 3 Pension, etc. 4 Own property, letting, leasing, provision for aged persons 5 Support from spouses, parents, etc 6 Other benefits (e.g. social assistance) Work Variables -- PERSON Highest level of general education completed <svar v="DE87A084 DE87A421 DE87A445"><span class="em">Question 9: What is the highest level of general education you have completed?</span><br />For this question, only the level of schooling completed should be marked. Pupils who are still attending a school of general education need not answer question 9.<br /><br />In an intermediate school or a high school was not attended up to the completion of the 10th grade, mark "elementary school, post-primary school." If the person left school after the 10th grade but before the final high school examination, mark "intermediate school."<br /><br />Persons who have completed a course of schooling for adults to obtain high school equivalency (e.g., evening high school/institution leading to university qualification) mark either "intermediate school" or "qualification for higher education (final high school examination)", according to the level completed.<br /></svar></p> <p><svar v="DE87A084 DE87A085 DE87A421 DE87A422 DE87A423 DE87A424 DE87A425 DE87A433 DE87A445 DE87A449 DE87A450 DE87A459"><span class="em">For persons between 15 and 65 years of age</span><br />[Questions 9-11 were asked of persons between 15 and 65 years]<br /><br />If you have completed education at a school/university of general/vocational education:<br /></svar></p> <p><svar v="DE87A084 DE87A421 DE87A445 DE87A450" a="DE87A084 DE87A421 DE87A445">9. What is the highest level of general education you have completed?<br /><div class="i1">[] 1 Elementary school, post-primary school<br />[] 2 Intermediate school or equivalent (e.g., completed 10th grade)<br />[] 3 High school qualifying for higher education (final high school exam) or qualifying for vocational education</div><br /></svar> Germany 1987: Persons age 15-64 [discrepancies: type I none; type II 2.1%] This variable indicates the highest level of general education that the person completed. 1 Elementary/primary school 2 Intermediate high school 3 High school with final examination qualifying for university or vocational college 8 Unknown 9 NIU (Not in universe) Education Variables -- PERSON Highest level of vocational or university education completed <svar v="DE87A085 DE87A422 DE87A423 DE87A446 DE87A450"><span class="em">Question 10: What is the highest level at a vocational school or university?</span><br />a) Full-time vocational schools are attended either in preparation for a specific trade or for a complete vocational training. They include (among others): commercial schools, schools for higher commercial studies, administrative schools, language schools and interpreters' schools, housekeeping schools, nursemaids' schools, schools for medical assistants, schools of arts and schools of dramatic arts.<br /><br />Compulsory part-time vocational schools or special part-time vocational schools must not be indicated under "full-time vocational school".<br /><br />Advanced full-time vocational schools provide a further education for specific occupations. They may be attended on a part-time or a full-time basis.<br /><br />The advanced full-time vocational schools are normally designated as "special schools for... (occupational objective or field of interest)" -- e.g., advanced full-time technical schools (also schools for technicians), advanced full-time vocational schools for economics, agriculture, home economics, textiles and clothing, social pedagogy. These schools also include master schools.<br /><br />The vocational colleges mainly emerged from the former engineering schools and higher advanced full-time vocational schools. Their objective is to provide an education on a scientific or artistic basis by means of schooling especially focused on practical training, thereby enabling the students to perform an independent activity in their professional life. The vocational colleges also include the administrative vocational colleges where junior staff is trained for the upper-grade non-technical service of the Federation and the states.<br /><br />Studies at universities, teacher training colleges, theological colleges and colleges of arts as well as in scientific courses of studies at the <span class="lang">Gesamthochschulen</span> should be indicated under "institution of higher education."<br /><br />b) Indicated here is the occupational emphasis towards which the successful completion of a full-time vocational school, advanced full-time vocational school, vocational college or university that was orientated -- e.g., agriculture, mechanical engineering electrical engineering, business management, economics, surface ground construction, underground construction, trade in goods, transport and communications, banking and insurance. If a commercial school was completed, please enter "commercial school."<br /></svar></p> <p><svar v="DE87A084 DE87A085 DE87A421 DE87A422 DE87A423 DE87A424 DE87A425 DE87A433 DE87A445 DE87A449 DE87A450 DE87A459"><span class="em">For persons between 15 and 65 years of age</span><br />[Questions 9-11 were asked of persons between 15 and 65 years]<br /><br />If you have completed education at a school/university of general/vocational education:<br /></svar></p> <p><svar v="DE87A085 DE87A422 DE87A446 DE87A450" a="DE87A085 DE87A422 DE87A446">10a. What is the highest level at a vocational school or a university you have completed?<br /><div class="i1">[] Full-time vocational school (e.g., commercial or administrative school)<br />[] Advanced full-time vocational school<br />[] Higher technical college (engineering school, vocational college)<br />[] Institution of higher education (including teacher training)</div><br /></svar> Germany 1987: Persons age 16-64 who completed vocational or university education [discrepancies: not verifiable] This variable indicates the highest level of vocational or university education that the person completed. 1 Full-time vocational school (without apprenticeship schools) 2 Vocational college 3 Technical/engineering college 4 University (including teacher college) 9 NIU (Not in universe) Education Variables -- PERSON Main field of completed vocational or university education/training <svar v="DE87A085 DE87A422 DE87A423 DE87A446 DE87A450"><span class="em">Question 10: What is the highest level at a vocational school or university?</span><br />a) Full-time vocational schools are attended either in preparation for a specific trade or for a complete vocational training. They include (among others): commercial schools, schools for higher commercial studies, administrative schools, language schools and interpreters' schools, housekeeping schools, nursemaids' schools, schools for medical assistants, schools of arts and schools of dramatic arts.<br /><br />Compulsory part-time vocational schools or special part-time vocational schools must not be indicated under "full-time vocational school".<br /><br />Advanced full-time vocational schools provide a further education for specific occupations. They may be attended on a part-time or a full-time basis.<br /><br />The advanced full-time vocational schools are normally designated as "special schools for... (occupational objective or field of interest)" -- e.g., advanced full-time technical schools (also schools for technicians), advanced full-time vocational schools for economics, agriculture, home economics, textiles and clothing, social pedagogy. These schools also include master schools.<br /><br />The vocational colleges mainly emerged from the former engineering schools and higher advanced full-time vocational schools. Their objective is to provide an education on a scientific or artistic basis by means of schooling especially focused on practical training, thereby enabling the students to perform an independent activity in their professional life. The vocational colleges also include the administrative vocational colleges where junior staff is trained for the upper-grade non-technical service of the Federation and the states.<br /><br />Studies at universities, teacher training colleges, theological colleges and colleges of arts as well as in scientific courses of studies at the <span class="lang">Gesamthochschulen</span> should be indicated under "institution of higher education."<br /><br />b) Indicated here is the occupational emphasis towards which the successful completion of a full-time vocational school, advanced full-time vocational school, vocational college or university that was orientated -- e.g., agriculture, mechanical engineering electrical engineering, business management, economics, surface ground construction, underground construction, trade in goods, transport and communications, banking and insurance. If a commercial school was completed, please enter "commercial school."<br /></svar></p> <p><svar v="DE87A084 DE87A085 DE87A421 DE87A422 DE87A423 DE87A424 DE87A425 DE87A433 DE87A445 DE87A449 DE87A450 DE87A459"><span class="em">For persons between 15 and 65 years of age</span><br />[Questions 9-11 were asked of persons between 15 and 65 years]<br /><br />If you have completed education at a school/university of general/vocational education:<br /></svar></p> <p><svar v="DE87A423" a="all">10b. What is the main special field of this completed education/training? ________<br /></svar> Germany 1987: Persons age 15-64 who completed vocation or university education [discrepancies: none] This variable indicates the main field of the person's completed vocational or university education/training. 01 Agriculture 02 Horticulture and viniculture 03 Forestry and fishery 04 Food industry and luxury foods 05 Nutrition, home economics 07 Mining and metallurgy 08 Stone, earth, ceramic, glass 09 Architecture 10 Interior design 11 Civil engineering 12 Construction provisions 13 Building industry general 14 Metalworking and plastic manufacturing 16 Optic-mechanics 17 Mechanical engineering general 18 Vehicle construction 19 Electro technology 20 Wood processing 21 Paper manufacturing and processing and printing, photography, graphics 23 Technical drawing 24 Textile/leather manufacturing and processing 26 Mathematics 27 Data processing 28 Biology and bioengineering 29 Chemistry and chemical engineering 30 Physics and physic engineering 31 Business economics 32 Other natural sciences and science-technical fields 34 Business administration 35 Commercial administration 36 Commodity trade 37 Banking and insurance 38 Traffic 40 Public administration 41 Public security, defense 42 Law 43 Economics and statistics 45 Political and social sciences 46 Regional planning 48 Hotel, catering and tourism 50 Cleaning (buildings, textiles), personal hygiene and other services 53 Medicine 54 Dentistry 55 Veterinary medicine 56 Pharmacy 57 Nursing 58 Medical-technical assistance 59 Alternative medical treatment 60 Social worker and educational sociology 61 Social, senior, home and family care and other in health and social services 64 Educational system 65 Teaching primary school 66 Teaching secondary school 67 Teaching high school 68 Teaching special schools 69 Teaching trade schools 70 Teaching music and technical subjects 71 Teaching other certificates 72 Protestant theology 73 Catholic theology and other theology 75 Philosophy 76 History 77 Library, documentation, publishing 78 Humanities, romanic languages and literatures, Slavic studies and non-European languages and cultures 79 German studies 80 English studies 84 Languages and cultures general 85 Translation 86 Psychology 87 Art studies general 88 Fine arts 89 Visual arts 90 Performing arts 91 Music 98 General education 99 NIU (Not in universe) Education Variables -- PERSON Field of completed practical vocational training <svar v="DE87A424 DE87A425 DE87A433 DE87A449 DE87A459"><span class="em">Question 11: Practical occupational training, length of training</span><br />a) Considered the conclusion of practical vocational training is the successful completion of an apprenticeship / on-the-job training, the accomplished practical training as a nurse or male hospital attendant. Occupational promotion courses for soldiers that were concluded by passing an examination certifying the qualification as a skilled worker, journeyman, commercial clerk, etc. should also be indicated.<br /><br />Improvership, student traineeships as well as the practical training of an official or the completion of a vocational school or college should not be indicated.<br /><br />In case of practical vocational training for more than one occupation, state only the occupation for which the last training was intended and its length.<br /><br />b) The length of training should always be rounded up to full years. For example:<br />2 years and 1 month = 3 years<br />2 years and 10 months = 3 years<br />3.5 years = 4 years<br /></svar></p> <p><svar v="DE87A084 DE87A085 DE87A421 DE87A422 DE87A423 DE87A424 DE87A425 DE87A433 DE87A445 DE87A449 DE87A450 DE87A459"><span class="em">For persons between 15 and 65 years of age</span><br />[Questions 9-11 were asked of persons between 15 and 65 years]<br /><br />If you have completed education at a school/university of general/vocational education:<br /></svar></p> <p><svar v="DE87A424 DE87A425 DE87A433 DE87A449 DE87A459" a="all">11. If you have completed a practical occupational training (e.g., apprenticeship):<br /><div class="i1">a) To which trade did this training relate? ____<br />b) How long did this training last? Year(s): ____</div><br /></svar> Germany 1987: Persons age 17-64 who completed practical vocational training [discrepancies: not verifiable] This variable indicates the field of the person's completed practical vocational training. 01 Farmer 02 Animal breeder, fisherman 04 Agricultural worker, keeper 05 Horticulturist 06 Forester, game keeper 07 Mining mecanics; mineral, natural gas, petroleum winning; mining processor 10 Stonemason and material worker 12 Ceramicist 13 Glassmaker 14 Chemical worker and rubber and plastic former 16 Paper maker 17 Printer 18 Wood processing mechanic and similar 19 Wire-processing mechanic 20 Molder, founder 21 Metal presser (non-machining and machining) 23 Metal surface editor 24 Metal binder 25 Smithy 26 Tin smith, installer 27 Metal fitter 28 Mechanic 29 Tool maker 30 Fine structure metal worker 31 Electrician 33 Weaving jobs 34 Textile manufacturer 35 Textile fabricator and textile refiner 37 Tanner 39 Baker (baked goods and pastry maker) 40 Butcher, fish preparer 41 Cook 42 Drink and tobacoo producer 43 Other food professions 44 Mason, concrete mason 45 Carpenter, roofer 46 Asphalt layer 48 Construction fitter/designer 49 Room-and interior designer, upholsterer 50 Cabinet maker, pattern maker 51 Painter (house painter, decorator and similar professions) 52 Commercial packer (merchandise inspector, pre-shipping handler) and machinist (and affiliated ) 62 Technician 63 Technical specialist 68 Merchants 69 Banker (bank clerks, insurance brokers) 70 Other service traders and affiliated professions 71 Transportation (professions of land transportation) 72 Water- and air transportation professions and warehouseman 73 Communication traffic 75 Entrepreneurs, accountants (entrepreneurs, organizers, certified public accountants) 77 Data processing agent (accountancy specialists, data processing specialists) 78 Office clerk 80 Security 82 Librarian (publicists, interpretors, librarians) and artists 85 Health service 86 Social care 87 Teacher 90 Personal hygiene 91 Hospitality industry workers 92 Home economics 93 Cleaning job 99 NIU (Not in universe) Education Variables -- PERSON Length of training, completed practical vocational training <svar v="DE87A424 DE87A425 DE87A433 DE87A449 DE87A459"><span class="em">Question 11: Practical occupational training, length of training</span><br />a) Considered the conclusion of practical vocational training is the successful completion of an apprenticeship / on-the-job training, the accomplished practical training as a nurse or male hospital attendant. Occupational promotion courses for soldiers that were concluded by passing an examination certifying the qualification as a skilled worker, journeyman, commercial clerk, etc. should also be indicated.<br /><br />Improvership, student traineeships as well as the practical training of an official or the completion of a vocational school or college should not be indicated.<br /><br />In case of practical vocational training for more than one occupation, state only the occupation for which the last training was intended and its length.<br /><br />b) The length of training should always be rounded up to full years. For example:<br />2 years and 1 month = 3 years<br />2 years and 10 months = 3 years<br />3.5 years = 4 years<br /></svar></p> <p><svar v="DE87A084 DE87A085 DE87A421 DE87A422 DE87A423 DE87A424 DE87A425 DE87A433 DE87A445 DE87A449 DE87A450 DE87A459"><span class="em">For persons between 15 and 65 years of age</span><br />[Questions 9-11 were asked of persons between 15 and 65 years]<br /><br />If you have completed education at a school/university of general/vocational education:<br /></svar></p> <p><svar v="DE87A424 DE87A425 DE87A433 DE87A449 DE87A459" a="all">11. If you have completed a practical occupational training (e.g., apprenticeship):<br /><div class="i1">a) To which trade did this training relate? ____<br />b) How long did this training last? Year(s): ____</div><br /></svar> Germany 1987: Persons age 17-64 who completed practical vocational training [discrepancies: none] This variable indicates the length of the person's practical vocational training. 1 1 year 2 2 years 3 3 years 4 4 or more years 9 NIU (Not in universe) Education Variables -- PERSON Federal state in which that training took place <svar v="DE87A426"><span class="em">Question 12: Name and address of your place of work or school/university</span><br />The complete address of the place of work where the respondent pursues his/her daily work (no matter where the administration or the head office of the establishment is located) should be entered here. Pupils and students enter the address of their school/university.<br /><br />Persons who frequently or continuously have to change the location of their activities (e.g. commercial agents, salesmen/women) should indicate "changing".<br /><br />Persons who pursue several economic activities should enter the address of the establishment where the main activity is performed. Persons employed in the he household, such as housekeepers, indicate the household as the place of work.<br /><br />Pupils/students attending vocational schools and who are not in an employment or apprenticeship relationship should enter the address of the vocational school.<br /><br />The name of the place of work, school or university is only an auxiliary characteristic and will not be stored.<br /></svar> Germany 1987: Students/pupils or employed persons [discrepancies: type I none; type II 2.1%] This variable indicates the Federal state in which the person's training took place. 00 Saarland 01 Schleswig-Holstein 02 Hamburg 03 Lower Saxony 04 Bremen 05 North Rhine-Westphalia 06 Hesse 07 Rhineland-Palatinate 08 Baden-Württemberg 09 Bavaria 98 Unknown 99 NIU (Not in universe) Education Variables -- PERSON Main mode of transportation to work or school <svar v="DE87A427 DE87A428"><span class="em">Question 13, 14: Which means of transport do you mainly use? How much time do you normally need for your way to work?</span><br />For persons with changing work locations (e.g., commercial agents, salesmen/women) Question 13 should be marked "no means of transport" and question 14 "does not apply".<br /></svar></p> <p><svar v="DE87A427 DE87A428"><span class="em">For economically active persons, pupils/students</span><br />[Questions 12-14 were asked of economically active persons, pupils/students.]<br /></svar></p> <p><svar v="DE87A427" a="all">13. Which means of transport do you mainly use (longest distance) on your way to work or school/university?<br /><div class="i1">[] 1 No means of transport (walking)<br />[] 2 Bicycle<br />[] 3 Car<br />[] 4 Underground, metropolitan, tramway<br />[] 5 Railway<br />[] 6 Bus, other means of public transport<br />[] 7 Others (motorcycle, moped, motor-assisted pedal cycle)</div><br /></svar> Germany 1987: Students/pupils or employed persons [discrepancies: type I none; type II 3.2%] This variable indicates the main mode of transportation that the person used to go to work or school. 1 Walking 2 Bicycle 3 Car 4 Underground, metro, tramway 5 Railway 6 Bus or other public transportation 7 Other (motorcycle, scooter, moped) 8 Unknown 9 NIU (Not in universe) Other Person Variables -- PERSON Length of time needed to commute to work or school <svar v="DE87A427 DE87A428"><span class="em">Question 13, 14: Which means of transport do you mainly use? How much time do you normally need for your way to work?</span><br />For persons with changing work locations (e.g., commercial agents, salesmen/women) Question 13 should be marked "no means of transport" and question 14 "does not apply".<br /></svar></p> <p><svar v="DE87A427 DE87A428"><span class="em">For economically active persons, pupils/students</span><br />[Questions 12-14 were asked of economically active persons, pupils/students.]<br /></svar></p> <p><svar v="DE87A428" a="all">14. How much time do you normally need for your way to work or school/university?<br /><div class="i1">[] 1 Does not apply; same premises<br />[] 2 Under 15 minutes<br />[] 3 15 to under 30 minutes<br />[] 4 30 to under 45 minutes<br />[] 5 45 to under 60 minutes<br />[] 6 60 minutes and over</div><br /></svar> Germany 1987: Students/pupils or employed persons [discrepancies: type I none; type II 3.1%] This variable indicates the length of time that the person needed to commute to work or school. 1 None, same location 2 Under 15 minutes 3 15 to under 30 minutes 4 30 to under 45 minutes 5 45 to under 60 minutes 6 60 minutes or more 8 Unknown 9 NIU (Not in universe) Other Person Variables -- PERSON Present type of employment <svar v="DE87A082 DE87A429 DE87A442 DE87A448 DE87A450 DE87A452"><span class="em">Question 15: Are you presently working as?</span><br />Home workers indicate either "other wage earner" or "skilled worker" in accordance with the activity pursued. Skilled workers also include journeymen.<br /><br />Trainees and improvers are considered apprentices.<br /><br />Tradesmen/women working from home, work agents or persons having a contract for work, and labor should mark "self-employed".<br /></svar></p> <p><svar v="DE87A082 DE87A083 DE87A429 DE87A430 DE87A431 DE87A432 DE87A442 DE87A448 DE87A450 DE87A451 DE87A452"><span class="em">For economically active persons</span><br />[Questions 15-18 were asked of economically active persons.]<br /></svar></p> <p><svar v="DE87A082 DE87A083 DE87A429 DE87A442 DE87A448 DE87A450 DE87A452" a="all">15. Are you presently working as:<br /><div class="i1">[] 1 Skilled worker<br />[] 2 Other wage earner<br />[] 3 Salaried employee<br />[] 4 Apprentice<br />[] 5 Official (3), judge, soldier, person doing civilian alternative service<br />[] 6 Self-employed, employing paid labor<br />[] 7 Self-employed, without paid labor<br />[] 8 Assistant family member<br /><br />(3) = Also applicants for civil service</div><br /></svar> Germany 1987: Employed persons age 15+ (including working students) [discrepancies: none] This variable indicates the person's present type of employment. 1 Skilled worker 2 Other wage earner 3 Salaried employee 4 Apprentice 5 Public servant, judge, soldier, alternative to military service 6 Self-employed with employees 7 Self-employed without employees 8 Assistant family member 9 NIU (Not in universe) Work Variables -- PERSON Industry <svar v="DE87A430 DE87A451 DE87A458"><span class="em">Question 16: To which line of business does the establishment where you work belong?</span><br />Here it is important to state as precisely as possible the line of business (trade, government agency) to which the local unit belongs, e.g. machine tool plant (not machine plant), iron mill (not smelting works), retail trade in foodstuffs (not trade), elementary school (not public service), hospital (not municipal administration).<br /><br />If the local unit has several departments with differing production programs (e.g., foundry and construction of road vehicles) or if it is subdivided in another way (e.g., car dealership and repair service), state the principal branch of business (main activity).<br /><br />Soldiers indicate <span class="lang">"Bundeswehr"</span>. [Federal armed forces]<br /></svar></p> <p><svar v="DE87A082 DE87A083 DE87A429 DE87A430 DE87A431 DE87A432 DE87A442 DE87A448 DE87A450 DE87A451 DE87A452"><span class="em">For economically active persons</span><br />[Questions 15-18 were asked of economically active persons.]<br /></svar></p> <p><svar v="DE87A430 DE87A451 DE87A458" a="all">16. To which line of business (branch of economic activity, government agency) does the establishment (firm, office) at which you are working belong? _______<br /></svar> Germany 1987: Employed persons age 15+ (including working students) [discrepancies: none] This variable indicates the industry in which the person worked. 001 Agriculture (excluding general horticulture) 002 General horticulture 003 Commercial market gardens and animal husbandry, breeding and keeping 004 Forestry, fishery and fish farming 006 Electricity, gas, district heating and water supply 007 Coal mining 008 Ore mining, other mining and peat extraction 009 Extraction of petroleum, natural gas 011 Manufacture of chemicals and chemical products (excluding synthetic fibers) 012 Manufacture of synthetic fibers 013 Refined petroleum processing 014 Manufacture of plastic and rubber products 015 Mining and quarrying 016 Processing of other non-metallic mineral products 017 China, manufacture of abrasives, manufacture and processing of glass 018 Blast furnaces and hot rolling mills 019 Metal casting 020 Drawing plant, cold flat mills 021 Steel forming, metal surface finishing, tempering, mechanics not elsewhere named 022 Manufacture of structural metal products 023 Manufacture of machinery and equipment 024 Manufacture of office, accounting and computing machinery 025 Manufacture of motor vehicles, trailers and semi-trailers 026 Manufacture of road vehicles (excluding automobiles) 027 Building and repair of ships, manufacture of aircraft and spacecraft 028 Manufacture of railway trains 029 Repair of motor vehicles, trailers and semi-trailers, bicycles, painting of road vehicles 030 Electrical engineering, repair of electrical appliances for the household 031 Precision engineering, optics, manufacture of watches 032 Manufacture of iron and metal products 033 Musical instruments manufacture, toys, jewelry; photo labs 034 Wood processing (without upholstery, mattresses) 035 Upholstery, mattresses 036 Paper manufacture and processing 037 Printers, reproduction 038 Leather production and processing (excluding manufacture of footwear) 039 Foot wear 040 Textiles 041 Apparel industry 042 Slaughter houses, meat product industry 043 Manufacture of beverages 044 Food processing (other than meat and beverages) 045 Manufacture of tobacco products 046 Construction (without roofing) 047 Roof construction and roofing 048 Finishing trades (without installation of heating, venting, air conditioning) 049 Installation of heating, venting, air conditioning 050 Wholesale trade of primary and half finished products 051 Wholesale trade of waste, scrap 052 Wholesale trade of food, beverages, tobacco products 053 Wholesale trade of textiles, apparel clothing, foot wear, leather products 054 Wholesale trade of iron and metal products, furniture, furnishing and household objects, precision mechanical and optical products, jewelry, toys, sporting goods 055 Wholesale trade of vehicles, machines, technical supplies 056 Wholesale trade of pharmaceutical and cosmetic products, laboratory supply, medical products, cleaning materials 057 Wholesale trade of paper, stationary, printed materials 058 Wholesale trade on a fee or contract basis 059 Retail trade of food, beverages, tobacco products as well as non-specialized products, with food products dominating 060 Retail trade of textiles, apparel, foot wear, leather goods 061 Retail trade of furniture, electronic products, large household appliances, musical instruments 062 Retail trade of paper goods, printed materials, office equipment 063 Retail trade of pharmaceutical and cosmetic products, medical products, cleaning materials, paint supplies 064 Retail trade of non-specialized products (excluding with food products dominating) 065 Remaining retail trade 066 Railroads 067 German federal post office 068 Traffic, parking lots and buildings 069 Inland water transport, operations of inland waterways, ports and ports facilities 070 Sea and costal water transport, harbors 071 Air transport, activities auxiliary to air transport (air fields) 072 Transport, storage, and communication 073 Credit institutions 074 Insurance industry 075 Activities auxiliary to credit institutions and insurance industry 076 Hotels and restaurants 077 Homes (excluding boarding houses, recreation and vacation homes) 078 Laundry, cleaning 079 Hair stylist and other personal care industries 080 Other personal services, not elsewhere mentioned 081 Industrial cleaning, collection and treatment of waste and other hygienic facilities 082 Science, research, education 083 Culture, arts, sports, entertainment 084 Publishing and printing 085 Health and veterinary activities 086 Legal activities, auditing, accounting and business consulting, technical consulting and planning, advertising, business services not elsewhere mentioned 087 Technical consulting and planning 088 Advertising 089 Asset management (excluding companies with limited liability), other services for business 090 Remaining services for business not mentioned elsewhere 091 Rental of chattels (excluding book, magazine and video rentals, vehicles, containers) 092 Housing, real estate management and rental 093 Other services 094 Non-profit organizations, not engaged in business 095 Non-profit organizations, engaged in business 096 Private households 097 Regional administrative bodies 098 Social security, employment promotion 099 Representations of foreign countries, foreign armed forces, international and supranational organizations of administrative character 999 NIU (Not in universe) Work: Industry Variables -- PERSON Occupation <svar v="DE87A431 DE87A442 DE87A450 DE87A452"><span class="em">Question 17: What kind of activity, occupation, or profession do you perform?</span><br />Do not enter here the completed level of vocational education/training or the rank of your position, but rather state as precisely as possible the actual occupation performed or the activity pursued at present -- e.g., building mechanic (not mechanic), heating fitter (not fitter), long-distance truck driver (not driver), balance clerk or machine accountant (not bookkeeper), electrical engineer (not engineer), pediatrician (not doctor), short hand typist (not employee), post office clerk (not civil servant), soldier doing basic military services, professional soldier, soldier on a temporary basis (not soldier). Persons doing civilian alternative service please indicate "civilian service". Apprentices should enter the profession/occupation they are trained in.<br /></svar></p> <p><svar v="DE87A082 DE87A083 DE87A429 DE87A430 DE87A431 DE87A432 DE87A442 DE87A448 DE87A450 DE87A451 DE87A452"><span class="em">For economically active persons</span><br />[Questions 15-18 were asked of economically active persons.]<br /></svar></p> <p><svar v="DE87A431 DE87A442 DE87A450 DE87A452" a="DE87A431">17. What kind of activity, occupation/profession do you perform? ________<br /></svar> Germany 1987: Employed persons age 15+ (including working students) [discrepancies: none] This variable indicates the occupation of the person. 011 Farmer 012 Wine grower 021 Animal breeder 032 Agrarian engineer, consultant for agriculture 041 Farmhand 043 Family farmhand 044 Keeper 051 Horticulturist 052 Landscape gardener, garden manager 061 Game keeper (forest administrator, forester, game keeper) 062 Forester (forest worker, forest beneficiary/user) 071 Mining mechanic 072 Drilling machine, electrical, blaster miner 101 Stonemason 102 Diamond grinder 121 Ceramicist 131 Glass batch maker 141 Chemical processing worker 142 Chemical laboratory worker 143 Rubber processing worker 151 Rubber and plastic former 161 Paper maker 162 Packaging worker 163 Book binder 171 Type setter 172 Print form maker 173 Printer 174 Litho printer 175 Screen printer 177 Printing processor 181 Wood processing mechanic 191 Mining processing mechanic (iron, metal production worker, smelter) 192 Rolling mill worker 201 Molder (in foundry) 202 Founder (in foundry) 211 Fine stamper (sheet metal presser, drawer, puncher) 212 Wire maker 221 Metal turner 222 Metal cutter 223 Metal planer 225 Metal grinder 231 Metal polisher 234 Metal galvanizer 241 Welder 242 Sheet metal worker 251 Smith 261 Tin smith 262 Pipe installer 263 Pipeline installer 270 Metal fitter 271 Building fitter 272 Sheet metal, and synthetic material fitter 273 Engine fitter 274 Manufacturing plant fitter, repair fitter 275 Steel construction fitter, iron ship builder 281 Auto mechanic 282 Farm machinery mechanic 283 Aero plane mechanic 284 Precision mechanic 285 Mechanic (other mechanics) 291 Tool and die maker 301 Knife and jewelry stamper (fine structure metal worker) 302 Gold jeweler (precious metal smiths) 303 Dentist technician 304 Optician 311 Electro installer 312 Telecommunication mechanic 313 Electric motor mechanic 314 Electro mechanic 315 Radio and television mechanic (broadcast and sound equipment mechanic) 321 Electric appliance assemby worker, electric parts assembly worker 322 Other assembly workers 323 Metalworker 331 Weaving machine mechanic 341 Spinning machine programmer 342 Weaving machine mechanic 351 Tailor 352 Clothing seamstress 353 Bed sheets seamstress 356 Sail maker (sewing worker) 357 Artificial flower maker (other textile processor) 361 Textile dye worker 371 Tanner 372 Shoemaker 373 Shoe sole worker 376 Leather cutter (leather-clothes maker and other leather processors) 377 Glove maker 391 Baker 392 Pastry cook 401 Butcher 411 Cook 421 Wine cooper 431 Dairy worker 441 Mason 442 Concrete mason 451 Carpenter 452 Roofer 461 Cobble-stone layer 462 Asphalt layer 463 Railroad builder 466 Well digger (other civil engineers) 470 Unskilled construction worker 481 Stuccoer (stuccoer, gypsum plasterer, wall-plasterer) 482 Insulation fitter 483 Tile layer 484 Stove fitter 485 Glazier 491 Parquet layer (room fitter/designer) 492 Upholsterer 501 Cabinet maker 502 Pattern maker 511 Painter (house painter, varnish decorator) 512 Varnisher 521 Merchandise inspector 522 Commercial packer 531 Unskilled worker without specified function 541 Energy machinist 542 Bulk material-handling machinst, cable car machinist 544 Crane operator 545 Earthworks engine operator 546 Building machines operator 547 Machine maintenance worker, machinist-assistant 548 Stoker 549 Automats fitter 601 Bachelor of mechanical- and vehicle construction engineering 602 Bachelor of electrical engineering 603 Architect, civil engineer 604 Bachelor of survey engineering 605 Bachelor of mining engineering, metallurgy, foundry-engineering 607 Other bachelors of engineering 611 Chemists, bachelors of chemistry 612 Physicists, bachelors of physics, mathematicians 621 Mechanical engineering technician 622 Electricity technician 623 Road construction technician (construction technician) 624 Surveyor 625 Mining, metallurgy, foundry technician 626 Chemistry, physics technician 627 Other production technicians 628 Other technicians 629 Industrial production foreman, foreman 631 Agricultural lab technician (skilled special workers for biology and technics) 632 Mathematics-physics assistant (skilled special workers for physics and mathematical-technics) 633 Chemistry lab technician 634 Photo lab technician 635 Technical drawer 681 Merchant (whole sale-, retail merchant, purchasing agent) 682 Shop assistant 683 Book seller (publishing agent, bookseller) 684 Pharmacist chemist (skilled drugstore worker) 685 Pharmacy assistant 686 Gas station attendant 687 Sales representative, travelling sales representative 691 Bank assistant 692 Home loan/morgage broker 701 Freight agent 702 Travel agent 703 Advertising agent 704 Broking agent, real-estate administrator 705 Landlord, negotiator, auctioneer 706 Money collector, disburser, ticket vendor, inspector 711 Railroad engine driver 712 Railroad agent 713 Other railroad schedules managers, -conductors 714 Trucker 716 Road keeper 721 Nautical navigator 724 Inland boatman 726 Air transportation professions 731 Post and mail contractor 733 Radio operator 741 Dental supply agent (warehouse supervisor, stockroom staff) 742 Transport equipment operator 744 Freight assistant 751 Entrepreneur, managing director, division manager 752 Management consultant, organizer 753 Book keeper (certified public accountant, tax advisor) 761 Members of the parliament, ministers, elected public servants 762 Directing and acting administration specialists 771 Financial assessment specialist, computation specialist 772 Book keeper 773 Cashier, treasurer 774 Data processing agent 781 Office clerk 782 Office assistant (shorthand, machine shorthand, typing machine specialist) 783 Data entry specialist 784 Office assistants 791 Manufacturing plant security personnel, detectives 792 Guard, warden 793 Doorman / front desk person, building maintenance supervisor 794 Building janitor, company janitor 801 Soldiers, border police force, police 802 Fire fighters 803 Diver (safety inspector) 804 Chimney sweeper 811 Judicial officer 812 Judicial registrar / legal guardian 813 Lawyer, legal advisor 814 Law enforcer 821 Publicists 822 Interpretors, translators 823 Librarian (librarians, archivists, museum specialists) 831 Musician 832 Performer 833 Graphic drawer (visual artist, graphic artist) 834 Sign painter (stage painter, sign painter) 835 Artistic and affiliated professions for stage, visual, and sound technology 836 Shopping window decorator (showroom, commercial display decorator) 837 Photographer 841 Mecial doctors 842 Dentists 843 Veterinarians 844 Pharmacists 851 Natural health professional (non-medical practicioner) 852 Physiotherapist (massage therapist, physical therapist and similar professions) 853 Nurse (male and female nurses, orderly, midwife) 854 Nursing assistant 856 Doctor office assistant 857 Veterinary lab technician 861 Geriatric nurse (social worker, visiting nurse) 862 Child care worker (orphanage and foster institutions principals, special needs teachers) 863 Occupational guidance counselors 864 Nursery school teacher (nursery school teachers, nannies) 871 University teachers, college, and art college teachers 872 High school teachers 873 Middle school, elementary, special needs school teachers 874 Vocational college teachers, artisan instructors 875 Art and music teachers 876 Swimming instructor (physical education teacher) 877 Other teachers 881 Economist, social scientist, statistician 882 Humanities and arts scholar 883 Scientist 891 Pastor, chaplain, religous community leaders 892 Members of monastic orders without specified occupation 901 Hair dresser 902 Pedicurist (other personal care workers) 911 Hotel trade assistant (restaurateurs, hoteliers, hospitaility industry agents) 912 Waiter (waiters, stewards) 913 Restaurant trade assistant (other hospitality industry workers) 921 Housekeeper 922 Consumer counselor 931 Launderer (launderer, clothes presser) 933 Room, household items cleaner 934 Building cleaner (window, building cleaner ) 935 Disposer (road cleaner, scavanger) 936 Automotive vehicle washer, care specialist 937 Machine, container cleaners and related professions) 971 Assisting family members other than agriculture 981 Apprentices with yet undetermined profession 982 Interns, trainees with yet undetermined profession 991 Employees without specified occupation 999 NIU (Not in universe) Work: Occupation Variables -- PERSON Secondary employment <svar v="DE87A432 DE87A450"><span class="em">Question 18: Do you pursue some additional economic activity?</span><br />This includes all further activities (also assisting in the establishment of a family member) which -- even if only occasionally -- are performed at the present -- e.g., part-time activity of a mechanic on his own supplementary income agriculture holding. Work in own household is, however, not considered additional economic activity.<br /></svar></p> <p><svar v="DE87A082 DE87A083 DE87A429 DE87A430 DE87A431 DE87A432 DE87A442 DE87A448 DE87A450 DE87A451 DE87A452"><span class="em">For economically active persons</span><br />[Questions 15-18 were asked of economically active persons.]<br /></svar></p> <p><svar v="DE87A432 DE87A450" a="DE87A432">18. If you pursue some additional economic activity, is it:<br /><div class="i1">[] 1 Agricultural activity<br />[] 2 Non-agricultural activity</div><br /></svar> Germany 1987: Employed persons with second job [discrepancies: not verifiable] This variable indicates whether the person's secondary employment was in agriculture or non-agriculture sectors. 1 In agriculture 2 In non-agriculture 9 NIU (Not in universe) Work Variables -- PERSON Subject area of training <svar v="DE87A424 DE87A425 DE87A433 DE87A449 DE87A459"><span class="em">Question 11: Practical occupational training, length of training</span><br />a) Considered the conclusion of practical vocational training is the successful completion of an apprenticeship / on-the-job training, the accomplished practical training as a nurse or male hospital attendant. Occupational promotion courses for soldiers that were concluded by passing an examination certifying the qualification as a skilled worker, journeyman, commercial clerk, etc. should also be indicated.<br /><br />Improvership, student traineeships as well as the practical training of an official or the completion of a vocational school or college should not be indicated.<br /><br />In case of practical vocational training for more than one occupation, state only the occupation for which the last training was intended and its length.<br /><br />b) The length of training should always be rounded up to full years. For example:<br />2 years and 1 month = 3 years<br />2 years and 10 months = 3 years<br />3.5 years = 4 years<br /></svar></p> <p><svar v="DE87A084 DE87A085 DE87A421 DE87A422 DE87A423 DE87A424 DE87A425 DE87A433 DE87A445 DE87A449 DE87A450 DE87A459"><span class="em">For persons between 15 and 65 years of age</span><br />[Questions 9-11 were asked of persons between 15 and 65 years]<br /><br />If you have completed education at a school/university of general/vocational education:<br /></svar></p> <p><svar v="DE87A424 DE87A425 DE87A433 DE87A449 DE87A459" a="all">11. If you have completed a practical occupational training (e.g., apprenticeship):<br /><div class="i1">a) To which trade did this training relate? ____<br />b) How long did this training last? Year(s): ____</div><br /></svar> Germany 1987: Employed persons with a second job and vocational training [discrepancies: type I 3.1%; type II 0.8%] This variable indicates the subject area of the person's training. 1 Industrial 2 Merchant/technical 9 NIU (Not in universe) Work Variables -- PERSON Indicator of principal residence at place of enumeration <svar v="DE87A410 DE87A411 DE87A412 DE87A413 DE87A434"><span class="em">Question 6: Do you occupy an additional dwelling?</span><br />The term "this dwelling" refers to the dwelling for which the present personal questionnaire is completed.<br /><br />The term "another dwelling" (accommodation/room) may also refer to furnished rooms at the place of work or training/education.<br /><br />For persons completing compulsory military service and those called up for military exercises, the barracks are not to be considered another dwelling. Persons having an additional dwelling or accommodation aboard a ship should mark "no" for question 6 (exception: permanently anchored houseboats).<br /><br />For married persons who are not permanently living separate, the dwelling predominantly used by the family must be considered the main dwelling, according to the registration law. This applies to weekend or monthly commuters and workers at distant construction sites. For all other persons (singles, widowed, divorced and married persons living permanently separate) the registration law specifies that the dwelling predominantly used is the main dwelling. In cases of doubt, the predominately used dwelling is the one constituting the focus of a person's life.<br /></svar></p> <p><svar v="DE87A410 DE87A411 DE87A412 DE87A413 DE87A434" a="all">6. Do you occupy a further dwelling (accommodation/room) in the Federal Republic of Germany, including Berlin (West)?<br /><div class="i1">[] 1 No<br />[] 2 Yes</div><br /><br /><div class="i1">If yes:<br />a) For married persons who are not permanently living separate: Is this dwelling here the one which is predominantly used by the family</div><br /><div class="i2">[] 1 No<br />[] 2 Yes</div><br /><div class="i1">b) For all other persons: Is this dwelling here the one which is predominantly used?</div><br /><div class="i2">[] 1 No<br />[] 2 Yes</div><br /><div class="i1">c) Additional question for economically active persons, pupils/students: Do you predominantly go to work or school/university from this dwelling?</div><br /><div class="i2">[] 1 No<br />[] 2 Yes</div><br /></svar> Germany 1987: All persons This variable indicates the person's principal residence at the place of enumeration. 1 Persons with only one dwelling in FRG (including West Berlin) 2 Persons with other dwellings in addition to principal dwelling at place of enumeration 3 Persons with other dwellings in addition to secondary dwelling at place of enumeration Migration: Global Variables -- PERSON Indicator whether person belongs to legally residing population Germany 1987: All persons This variable indicates whether person belonged to legally residing population. 1 Persons with only one dwelling in FRG (including West Berlin) 2 Persons with additional dwellings, belong to population at place of enumeration 3 Persons with additional dwellings, do not belong to population at place of enumeration Migration: Global Variables -- PERSON Person type <svar v="DE87A081 DE87A087 DE87A097 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A436 DE87A439 DE87A447"><span class="em">Question 7: Are you economically active, unemployed?</span><br />Persons who are part of an employment/service relationship, pursue an independent trade, practice a liberal profession, or work as family workers are considered economically active. Persons participating in programs aimed at further education, retraining/reeducation and rehabilitation and are in possession of a work contract should also mark "economically active". Services performed on an honorary basis are not considered an economic activity.<br /><br />"Economically active up to 36 hours per week" should also be marked if work is performed by the hour, half days or on certain days of the week only.<br /><br />Unemployed persons who are earning some money on the side should mark "economically active up to 36 hours per week" in addition to "unemployed, looking for work."<br /><br />Juveniles in their first year of vocational training who do not have a contract of employment/training should mark both "not economically active" and "pupil, student".<br /></svar></p> <p><svar v="DE87A081 DE87A087 DE87A097 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A436 DE87A439 DE87A447" a="all">7. Are you:<br /><div class="i1">Several answers are possible<br /><br />[] Economically active (1) full-time (over 36 hours (2) per week)<br />[] Economically active (1) part-time (up to 36 hours (2) per week)<br />[] Unemployed, looking for work<br />[] Not economically active<br />[] Housewife, "houseman"<br />[] Pupil, student<br /><br />(1) = Also farmer, family worker, apprentice, soldier, person doing civilian alternative service<br />(2) = Based on the number of hours normally worked during a week</div><br /></svar> Germany 1987: All persons This variable indicates the type of the person. 1 Child under age 8, not attending school 2 Pupil/student age 5 to under 15 3 Pupil/student, age 15 or older, including non-working students 4 Employed person, age 15 or older (including working students) 5 Unemployed person, not working person, age 15 or older (excluding not-working students) Other Person Variables -- PERSON Belongs to population in private households Germany 1987: All persons This variable indicates whether the person belonged to population in private households. 1 Population in private households 2 Population not in private households 3 Persons without own household Other Person Variables -- PERSON Resides at place of residence of the family Germany 1987: All persons This variable indicates whether the person belonged to population residing at place of residence of the family. 1 Population at family place of residence 2 Population not at family place of residence 3 Persons without own household Other Person Variables -- PERSON Employment indicator <svar v="DE87A081 DE87A087 DE87A097 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A436 DE87A439 DE87A447"><span class="em">Question 7: Are you economically active, unemployed?</span><br />Persons who are part of an employment/service relationship, pursue an independent trade, practice a liberal profession, or work as family workers are considered economically active. Persons participating in programs aimed at further education, retraining/reeducation and rehabilitation and are in possession of a work contract should also mark "economically active". Services performed on an honorary basis are not considered an economic activity.<br /><br />"Economically active up to 36 hours per week" should also be marked if work is performed by the hour, half days or on certain days of the week only.<br /><br />Unemployed persons who are earning some money on the side should mark "economically active up to 36 hours per week" in addition to "unemployed, looking for work."<br /><br />Juveniles in their first year of vocational training who do not have a contract of employment/training should mark both "not economically active" and "pupil, student".<br /></svar></p> <p><svar v="DE87A081 DE87A087 DE87A097 DE87A414 DE87A415 DE87A416 DE87A417 DE87A418 DE87A419 DE87A436 DE87A439 DE87A447" a="all">7. Are you:<br /><div class="i1">Several answers are possible<br /><br />[] Economically active (1) full-time (over 36 hours (2) per week)<br />[] Economically active (1) part-time (up to 36 hours (2) per week)<br />[] Unemployed, looking for work<br />[] Not economically active<br />[] Housewife, "houseman"<br />[] Pupil, student<br /><br />(1) = Also farmer, family worker, apprentice, soldier, person doing civilian alternative service<br />(2) = Based on the number of hours normally worked during a week</div><br /></svar> Germany 1987: All persons This variable indicates whether the person was employed, not-employed, or not economically active. 1 Employed 2 Not-employed 3 Not economically active Work Variables -- PERSON Age <svar v="DE87A072 DE87A073 DE87A074 DE87A075 DE87A076 DE87A088 DE87A089 DE87A090 DE87A092 DE87A405 DE87A440 DE87A454 DE87A455 DE87A456" a="DE87A088 DE87A089 DE87A090 DE87A092 DE87A405 DE87A440 DE87A454 DE87A455 DE87A456">1. Date of birth<br /><div class="i1">____a) Year of birth<br /><br />b) Month of birth</div><br /><div class="i2">[] 1 Jan. to 24 May<br />[] 25 May to 31 Dec.</div><br /></svar> Germany 1987: All persons This variable indicates the age of the person. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 years and older Demographic Variables -- PERSON Marriage indicator <svar v="DE87A072 DE87A073 DE87A074 DE87A075 DE87A076 DE87A077 DE87A078 DE87A407 DE87A441" a="all">3. Marital status<br /><div class="i1">[] 1 Single<br />[] 2 Married<br />[] 3 Widowed<br />[] 4 Divorced</div><br /></svar> Germany 1987: Persons with own household [discrepancies: none] This variable indicates whether the person was married and whether the person's partner was in the same household. 1 Married with partner in same household 2 Married with partner not in same household 3 Not married 9 NIU (Not in universe) Demographic Variables -- PERSON Socio-economic indicator according to UN <svar v="DE87A082 DE87A429 DE87A442 DE87A448 DE87A450 DE87A452"><span class="em">Question 15: Are you presently working as?</span><br />Home workers indicate either "other wage earner" or "skilled worker" in accordance with the activity pursued. Skilled workers also include journeymen.<br /><br />Trainees and improvers are considered apprentices.<br /><br />Tradesmen/women working from home, work agents or persons having a contract for work, and labor should mark "self-employed".<br /></svar></p> <p><svar v="DE87A431 DE87A442 DE87A450 DE87A452"><span class="em">Question 17: What kind of activity, occupation, or profession do you perform?</span><br />Do not enter here the completed level of vocational education/training or the rank of your position, but rather state as precisely as possible the actual occupation performed or the activity pursued at present -- e.g., building mechanic (not mechanic), heating fitter (not fitter), long-distance truck driver (not driver), balance clerk or machine accountant (not bookkeeper), electrical engineer (not engineer), pediatrician (not doctor), short hand typist (not employee), post office clerk (not civil servant), soldier doing basic military services, professional soldier, soldier on a temporary basis (not soldier). Persons doing civilian alternative service please indicate "civilian service". Apprentices should enter the profession/occupation they are trained in.<br /></svar></p> <p><svar v="DE87A082 DE87A083 DE87A429 DE87A430 DE87A431 DE87A432 DE87A442 DE87A448 DE87A450 DE87A451 DE87A452"><span class="em">For economically active persons</span><br />[Questions 15-18 were asked of economically active persons.]<br /></svar></p> <p><svar v="DE87A082 DE87A083 DE87A429 DE87A442 DE87A448 DE87A450 DE87A452" a="all">15. Are you presently working as:<br /><div class="i1">[] 1 Skilled worker<br />[] 2 Other wage earner<br />[] 3 Salaried employee<br />[] 4 Apprentice<br />[] 5 Official (3), judge, soldier, person doing civilian alternative service<br />[] 6 Self-employed, employing paid labor<br />[] 7 Self-employed, without paid labor<br />[] 8 Assistant family member<br /><br />(3) = Also applicants for civil service</div><br /></svar></p> <p><svar v="DE87A431 DE87A442 DE87A450 DE87A452" a="DE87A431">17. What kind of activity, occupation/profession do you perform? ________<br /></svar> Germany 1987: Persons with own household [discrepancies: none] This variable indicates the person's socio-economic status according to the UN definition. 01 Employers with agricultural occupations and their unpaid family workers 02 Own-account workers with agricultural occupations and their unpaid family workers 03 Employers with agricultural occupations 04 Self-employed persons in free and related professions and their unpaid family workers 05 Employers and their unpaid family workers 06 Own account workers and their unpaid family workers 07 Employees with free and related professions 08 Managers, legislative officials and government administrators; other non-manual employees; members of the armed forces 09 Foremen and supervisors of manual workers; skilled and semi-skilled manual workers 10 Laborers 11 Persons seeking their first job / others 12 Not economically active persons 99 NIU (Not in universe) Work Variables -- PERSON Socio-economic indicator for employed persons (German) <svar v="DE87A085 DE87A422 DE87A423 DE87A446 DE87A450"><span class="em">Question 10: What is the highest level at a vocational school or university?</span><br />a) Full-time vocational schools are attended either in preparation for a specific trade or for a complete vocational training. They include (among others): commercial schools, schools for higher commercial studies, administrative schools, language schools and interpreters' schools, housekeeping schools, nursemaids' schools, schools for medical assistants, schools of arts and schools of dramatic arts.<br /><br />Compulsory part-time vocational schools or special part-time vocational schools must not be indicated under "full-time vocational school".<br /><br />Advanced full-time vocational schools provide a further education for specific occupations. They may be attended on a part-time or a full-time basis.<br /><br />The advanced full-time vocational schools are normally designated as "special schools for... (occupational objective or field of interest)" -- e.g., advanced full-time technical schools (also schools for technicians), advanced full-time vocational schools for economics, agriculture, home economics, textiles and clothing, social pedagogy. These schools also include master schools.<br /><br />The vocational colleges mainly emerged from the former engineering schools and higher advanced full-time vocational schools. Their objective is to provide an education on a scientific or artistic basis by means of schooling especially focused on practical training, thereby enabling the students to perform an independent activity in their professional life. The vocational colleges also include the administrative vocational colleges where junior staff is trained for the upper-grade non-technical service of the Federation and the states.<br /><br />Studies at universities, teacher training colleges, theological colleges and colleges of arts as well as in scientific courses of studies at the <span class="lang">Gesamthochschulen</span> should be indicated under "institution of higher education."<br /><br />b) Indicated here is the occupational emphasis towards which the successful completion of a full-time vocational school, advanced full-time vocational school, vocational college or university that was orientated -- e.g., agriculture, mechanical engineering electrical engineering, business management, economics, surface ground construction, underground construction, trade in goods, transport and communications, banking and insurance. If a commercial school was completed, please enter "commercial school."<br /></svar></p> <p><svar v="DE87A082 DE87A429 DE87A442 DE87A448 DE87A450 DE87A452"><span class="em">Question 15: Are you presently working as?</span><br />Home workers indicate either "other wage earner" or "skilled worker" in accordance with the activity pursued. Skilled workers also include journeymen.<br /><br />Trainees and improvers are considered apprentices.<br /><br />Tradesmen/women working from home, work agents or persons having a contract for work, and labor should mark "self-employed".<br /></svar></p> <p><svar v="DE87A431 DE87A442 DE87A450 DE87A452"><span class="em">Question 17: What kind of activity, occupation, or profession do you perform?</span><br />Do not enter here the completed level of vocational education/training or the rank of your position, but rather state as precisely as possible the actual occupation performed or the activity pursued at present -- e.g., building mechanic (not mechanic), heating fitter (not fitter), long-distance truck driver (not driver), balance clerk or machine accountant (not bookkeeper), electrical engineer (not engineer), pediatrician (not doctor), short hand typist (not employee), post office clerk (not civil servant), soldier doing basic military services, professional soldier, soldier on a temporary basis (not soldier). Persons doing civilian alternative service please indicate "civilian service". Apprentices should enter the profession/occupation they are trained in.<br /></svar></p> <p><svar v="DE87A432 DE87A450"><span class="em">Question 18: Do you pursue some additional economic activity?</span><br />This includes all further activities (also assisting in the establishment of a family member) which -- even if only occasionally -- are performed at the present -- e.g., part-time activity of a mechanic on his own supplementary income agriculture holding. Work in own household is, however, not considered additional economic activity.<br /></svar></p> <p><svar v="DE87A084 DE87A085 DE87A421 DE87A422 DE87A423 DE87A424 DE87A425 DE87A433 DE87A445 DE87A449 DE87A450 DE87A459"><span class="em">For persons between 15 and 65 years of age</span><br />[Questions 9-11 were asked of persons between 15 and 65 years]<br /><br />If you have completed education at a school/university of general/vocational education:<br /></svar></p> <p><svar v="DE87A084 DE87A421 DE87A445 DE87A450" a="DE87A084 DE87A421 DE87A445">9. What is the highest level of general education you have completed?<br /><div class="i1">[] 1 Elementary school, post-primary school<br />[] 2 Intermediate school or equivalent (e.g., completed 10th grade)<br />[] 3 High school qualifying for higher education (final high school exam) or qualifying for vocational education</div><br /></svar></p> <p><svar v="DE87A085 DE87A422 DE87A446 DE87A450" a="DE87A085 DE87A422 DE87A446">10a. What is the highest level at a vocational school or a university you have completed?<br /><div class="i1">[] Full-time vocational school (e.g., commercial or administrative school)<br />[] Advanced full-time vocational school<br />[] Higher technical college (engineering school, vocational college)<br />[] Institution of higher education (including teacher training)</div><br /></svar></p> <p><svar v="DE87A082 DE87A083 DE87A429 DE87A430 DE87A431 DE87A432 DE87A442 DE87A448 DE87A450 DE87A451 DE87A452"><span class="em">For economically active persons</span><br />[Questions 15-18 were asked of economically active persons.]<br /></svar></p> <p><svar v="DE87A082 DE87A083 DE87A429 DE87A442 DE87A448 DE87A450 DE87A452" a="all">15. Are you presently working as:<br /><div class="i1">[] 1 Skilled worker<br />[] 2 Other wage earner<br />[] 3 Salaried employee<br />[] 4 Apprentice<br />[] 5 Official (3), judge, soldier, person doing civilian alternative service<br />[] 6 Self-employed, employing paid labor<br />[] 7 Self-employed, without paid labor<br />[] 8 Assistant family member<br /><br />(3) = Also applicants for civil service</div><br /></svar></p> <p><svar v="DE87A431 DE87A442 DE87A450 DE87A452" a="DE87A431">17. What kind of activity, occupation/profession do you perform? ________<br /></svar></p> <p><svar v="DE87A432 DE87A450" a="DE87A432">18. If you pursue some additional economic activity, is it:<br /><div class="i1">[] 1 Agricultural activity<br />[] 2 Non-agricultural activity</div><br /></svar> Germany 1987: Employed persons age 15+ (including working students) [discrepancies: none] This variable indicates the socio-economic status indicator of the employed person (German definition). 10 Independent, not in free-profession, in agriculture, with employees, without or with other employment 12 Independent, not in free-profession, in agriculture, without employees, without other employment 13 Independent, not in free-profession, in agriculture, without employees, with other employment 14 Independent, not in free-profession, not in agriculture, with employees, without other employment 15 Independent, not in free-profession, not in agriculture, with employees, with other employment in agriculture 16 Independent, not in free-profession, not in agriculture, with employees, with other employment in agriculture 17 Independent, not in free-profession, not in agriculture, without employees, without other employment 18 Independent, not in free-profession, not in agriculture, without employees, with other employment in agriculture and not in agriculture 20 Independent, in free-profession, with university degree (under 64 years of age), with employees, without or with other employment 22 Independent, in free-profession, with university degree (under 64 years of age), without employees, without or with other employment 24 Independent, in free-profession, without university degree (including 65 years of age an older), with employees, without or with other employment 26 Independent, in free-profession, without university degree (including 65 years of age an older), without employees, without or with other employment 30 Assisting family members in agriculture without other employment 31 Assisting family members in agriculture with other employment 32 Assisting family members not in agriculture without other employment 33 Assisting family members not in agriculture with other employment in agriculture or with other employment 40 Public servants, judges, soldiers, alternative military service without other employment 41 Public servants, judges, soldiers, alternative military service with other employment 50 Salaried employee with university degree (age less than 65) without other employment 51 Salaried employee with university degree (age less than 65) with other employment 52 Salaried employee without university degree (including age 65 and older) without other employment 53 Salaried employee without university degree (including age 65 and older) with other employment 60 Skilled worker, journeyman, foreman, with completed schooling and training, (age under 65), without other employment 61 Skilled worker, journeyman, foreman, with completed schooling and training, (age under 65), with other employment in agriculture 62 Skilled worker, journeyman, foreman, with completed schooling and training, (age under 65), with other employment 63 Skilled worker, journeyman, foreman, without completed schooling and training, (including age 65 and over) 70 Other worker, with completed schooling and training, (age under 65), without other employment 71 Other worker, with completed schooling and training, (age under 65), with other employment in agriculture or with other employment 73 Other worker, without completed schooling and training, (including age 65 and over) 80 Apprentice, trade 81 Apprentice, commercial, technical 99 NIU (Not in universe) Work Variables -- PERSON Sector of economy <svar v="DE87A430 DE87A451 DE87A458"><span class="em">Question 16: To which line of business does the establishment where you work belong?</span><br />Here it is important to state as precisely as possible the line of business (trade, government agency) to which the local unit belongs, e.g. machine tool plant (not machine plant), iron mill (not smelting works), retail trade in foodstuffs (not trade), elementary school (not public service), hospital (not municipal administration).<br /><br />If the local unit has several departments with differing production programs (e.g., foundry and construction of road vehicles) or if it is subdivided in another way (e.g., car dealership and repair service), state the principal branch of business (main activity).<br /><br />Soldiers indicate <span class="lang">"Bundeswehr"</span>. [Federal armed forces]<br /></svar></p> <p><svar v="DE87A082 DE87A083 DE87A429 DE87A430 DE87A431 DE87A432 DE87A442 DE87A448 DE87A450 DE87A451 DE87A452"><span class="em">For economically active persons</span><br />[Questions 15-18 were asked of economically active persons.]<br /></svar></p> <p><svar v="DE87A430 DE87A451 DE87A458" a="all">16. To which line of business (branch of economic activity, government agency) does the establishment (firm, office) at which you are working belong? _______<br /></svar> Germany 1987: Employed persons age 15+ (including working students) [discrepancies: none] This variable indicates the sector of economy in which the person worked. 00 Agriculture, forestry, fishery 01 Energy and water provision, mining 02 Manufacturing 03 Construction 04 Wholesale, retail 05 Traffic, communications 06 Banks, insurance 07 Services provided by business and self-employed persons 08 Non-profit organizations and private households 09 Regional administrative bodies and social insurance 99 NIU (Not in universe) Work Variables -- PERSON Socio-economic indicator for economically active persons <svar v="DE87A082 DE87A429 DE87A442 DE87A448 DE87A450 DE87A452"><span class="em">Question 15: Are you presently working as?</span><br />Home workers indicate either "other wage earner" or "skilled worker" in accordance with the activity pursued. Skilled workers also include journeymen.<br /><br />Trainees and improvers are considered apprentices.<br /><br />Tradesmen/women working from home, work agents or persons having a contract for work, and labor should mark "self-employed".<br /></svar></p> <p><svar v="DE87A431 DE87A442 DE87A450 DE87A452"><span class="em">Question 17: What kind of activity, occupation, or profession do you perform?</span><br />Do not enter here the completed level of vocational education/training or the rank of your position, but rather state as precisely as possible the actual occupation performed or the activity pursued at present -- e.g., building mechanic (not mechanic), heating fitter (not fitter), long-distance truck driver (not driver), balance clerk or machine accountant (not bookkeeper), electrical engineer (not engineer), pediatrician (not doctor), short hand typist (not employee), post office clerk (not civil servant), soldier doing basic military services, professional soldier, soldier on a temporary basis (not soldier). Persons doing civilian alternative service please indicate "civilian service". Apprentices should enter the profession/occupation they are trained in.<br /></svar></p> <p><svar v="DE87A082 DE87A083 DE87A429 DE87A430 DE87A431 DE87A432 DE87A442 DE87A448 DE87A450 DE87A451 DE87A452"><span class="em">For economically active persons</span><br />[Questions 15-18 were asked of economically active persons.]<br /></svar></p> <p><svar v="DE87A082 DE87A083 DE87A429 DE87A442 DE87A448 DE87A450 DE87A452" a="all">15. Are you presently working as:<br /><div class="i1">[] 1 Skilled worker<br />[] 2 Other wage earner<br />[] 3 Salaried employee<br />[] 4 Apprentice<br />[] 5 Official (3), judge, soldier, person doing civilian alternative service<br />[] 6 Self-employed, employing paid labor<br />[] 7 Self-employed, without paid labor<br />[] 8 Assistant family member<br /><br />(3) = Also applicants for civil service</div><br /></svar></p> <p><svar v="DE87A431 DE87A442 DE87A450 DE87A452" a="DE87A431">17. What kind of activity, occupation/profession do you perform? ________<br /></svar> Germany 1987: Economically active persons [discrepancies: none] This variable indicates the socio-economic indicator of the economically active person. 01 Farmer with employees 02 Farmer without employees 03 Other workers in agriculture 04 Employer or self-employed person in independent professions 05 Employer in industry, construction, trade, transport, services 06 Self-employed person in industry, construction, trade, transport, services 07 Employee in independent and related professions 08 Member of boards, member of governments, higher public servant, office supervisor or manager, office and trade clerks, member of armed forces 09 Supervisor in manual trades, skilled worker, laborer 10 Other employed or unemployed persons 99 NIU (Not in universe) Work Variables -- PERSON Type of commuter Germany 1987: Students/pupils or employed persons [discrepancies: type I none; type II 1.1%] This variable indicates the type of commuter that the person used to go to work or school. 10 Works, but does not commute to work 11 Commutes to work within community 12 Commutes to work within county 13 Commutes to work within federal state 14 Commutes to work within FRG 15 Commutes to work in foreign country (daily) 16 Commutes to work in foreign country (long distance) 20 In education/training, but does not commute 21 Commutes to education/training within community 22 Commutes to education/training within county 23 Commutes to education/training within federal state 24 Commutes to education/training within FRG 25 Commutes to education/training in foreign country (daily or long distance) 30 Commutes to work (long distance) 40 Commutes to education/training (long distance) 50 Commutes to work to unknown destination 60 Commutes to education/training long and short distance to unknown destination 70 Commutes to work long distance to unknown location 98 Unknown 99 NIU (Not in universe) Other Person Variables -- PERSON