Population and Housing Census 2004 DDI_JOR_2004_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 and Housing Census 2004 - IPUMS Subset PHC jo2004a (IPUMS Harmonized Subset) JOR_2004_PHC_v01_M_v7.6_A_IPUMS The Population and Housing Census IPUMS (c) Copyright 2004, The Population and Housing Census and Minnesota Population Center The Population and Housing Census 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 Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Geography: IPUMS-I, IPUMS-DHS Variables -- HOUSEHOLD Disability Variables -- PERSON Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Geography: F-N Variables -- HOUSEHOLD Migration: Global Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Migration: F-N Variables -- PERSON Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Constructed Family Interrelationship Variables -- PERSON Nativity and Birthplace Variables -- PERSON Technical Person Variables -- PERSON Geography: F-N Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Demographic Variables -- PERSON Other Person Variables -- PERSON Other Person Variables -- PERSON Nativity and Birthplace Variables -- PERSON Migration: Global Variables -- PERSON Education Variables -- PERSON Demographic Variables -- PERSON Work Variables -- PERSON Work: Industry Variables -- PERSON Disability Variables -- PERSON Work: Occupation Variables -- PERSON October 1, 2004 October 2-8, 2004; Nov. 27-Dec. 3, 2004 (post-enumeration) Jordan District Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: No - Households: yes - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: Housing unit is a building or part of it with walls and ceiling, virtuous for residence of one or more household regardless of its occupancy at time of census. For the census purposes, each occupied place at time of the census is considered as a housing unit whether designated for use as shops. - Households: A household, consisting of one person or more, with a head, sharing with each other one separated housing unit or part of it. The members of household participate in expenditures from the income of head of household or from some household members. - Group quarters: Group of persons without a head of household sharing with each other one collective housing unit and don't participate in residence arrangements such as lodgers of hotels, prisons and hospitals, students, and so on. Armed forces residing in camps or in other military institutions are excluded from this definition. Collective household also includes every group of persons (6 persons or more) residing in a conventional housing unit, with no relative ties and each one of them depends on himself for living even if he participates with others in some meals. All population inside Jordan regardless of their nationality and Jordanians abroad for less than one year Armed forces, nomads, Jordanians abroad Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Jordan 2004 MICRODATA SOURCE: The Population and Housing Census SAMPLE SIZE (person records): 510646. SAMPLE DESIGN: Systematic sample of every 10th private household or every 10th person in collective households with a random start, combined with stratification. Drawn by the country. Thirty formed strata include 6 cities with over 100,000 population, 12 urban strata and 12 rural strata. Armed forces, nomads, Jordanians abroad Face-to-face [f2f] Five types of register are used: 1) private household register, 2) collective household register, and 3) hotel lodgers register, and 4) buildings and housing units register for both private and collective households, and 5) reminder questionnaire. de facto, CENSUS DAY: October 1, 2004 Self-weighting (expansion factor = 10) IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. IPUMS International works with each country's statistical office to minimize the risk of disclosure of respondent information. The details of the confidentiality protections vary across countries, but in all cases, names and detailed geographic information are suppressed and top-codes are imposed on variables such as income that might identify specific persons. In addition, IPUMS International uses a variety of technical procedures to enhance confidentiality protection. These include the following: (1) Swapping an undisclosed fraction of records from one administrative district to another to make positive identification of individuals impossible. (2) Randomizing the placement of households within districts to disguise the order in which individuals were enumerated or the data processed. (3) Aggregating codes of sensitive characteristics (e.g., grouping together very small ethnic categories) (4) Top- and bottom-coding continuous variables to prevent identification of extreme cases. The safety record for public-use census microdata is apparently perfect. In almost four decades of use, there has not been a single verified breach of statistical confidentiality. The measures implemented by the IPUMS International are designed to extend this record. The Population and Housing Census 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: Jordan, The Population and Housing Census. Population and Housing Census 2004 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 jo2004a, 2025 JOR2004_PHC-H-H.dat Household records 97,343 ascii Minnesota Population Center Version 7.5, IPUMS sample JOR2004_PHC-P-H.dat Person records 510646 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 Strata identifier This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation. STRATA is a 12-digit numeric variable. 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 Number of unrelated persons UNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ Group Quarters Variables -- HOUSEHOLD Urban-rural status URBAN indicates whether the household was located in a place designated as urban or as rural. 1 Rural 2 Urban 9 Unknown Geography: Global 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 2nd subnational geographic level, world [consistent boundaries over time] GEOLEV2 indicates the second 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. Second administrative units in GEOLEV2 have been spatio-temporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV2 is a 9-digit numeric variable. GEOLEV2 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. GEO2_BR. 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 Population density of GEOLEV2 unit, in persons per square kilometer POPDENSGEO2 indicates the population density in persons per square kilometer of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 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. POPDENSGEO2 is a 12-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 Area of GEOLEV2 unit in square kilometers AREAMOLLWGEO2 indicates the area in square kilometers of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 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. AREAMOLLWGEO2 is a 10-digit numeric variable listing the area in square kilometers. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Jordan, Governorate 2004 [Level 1; consistent boundaries, GIS] GEO1_JO identifies the household's governorate within Jordan in 2004. Governorates are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_JO can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Jordan 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. 400011 Amman 400012 Balqa 400013 Zarqa 400014 Madaba 400021 Irbid 400022 Mafraq 400023 Jarash 400024 Ajlun 400031 Karak 400032 Tafilah 400033 Ma'an 400034 Aqaba Geography: F-N Variables -- HOUSEHOLD Jordan, Governorate 2004 [Level 1, GIS] GEO1_JO2004 identifies the household's governorate within Jordan in 2004. Governorates are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_JO2004 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Jordan 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. 011 Amman 012 Balqa 013 Zarqa 014 Madaba 021 Irbid 022 Mafraq 023 Jarash 024 Ajlun 031 Karak 032 Tafilah 033 Ma'an 034 Aqaba Geography: F-N Variables -- HOUSEHOLD Jordan, District 2004 [Level 2; consistent boundaries, GIS] GEO2_JO identifies the household's district within Jordan in 2004. Districts are the second level administrative units of the country, after governorates. A GIS map (in shapefile format), corresponding to GEO2_JO can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Jordan 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. 400011001 Qasabet Amman 400011002 Marka 400011003 Jami'ah 400011004 Quaismeh 400011005 Wadi Essier 400011006 Na'oor 400011007 Sahab 400011008 Jizeh 400011009 Mowaqqar 400012001 Ain El-Basha 400012002 Qasabet Essalt 400012003 Dair Alla 400012004 Shooneh Janoobiyyeh 400012005 Mahes and Fohais 400013001 Qasabet Ezzarqa 400013002 Russeifa 400013003 Hashemiyyeh 400014001 Qasabet Madaba 400014002 Bieban 400021001 Qasabet Irbid 400021002 Ramtha 400021003 Bani Ebaid 400021004 Kora 400021005 Aghwar Shamaliyyeh 400021006 Bani Kenanah 400021007 Mazar Shamali 400021008 Tayybeh 400021009 Wasatiyyah 400022001 Qasabet El-Mafraq 400022002 Badiah Shamaliyyeh Gharbiyyeh 400022003 Badiah Shamaliyyeh, Erwaished 400023001 Qasabet Jarash 400024001 Qasabet Ajloun 400024002 Kofranjah 400031001 Qasabet El-Karak, Qetraneh 400031002 Mazar Janoobi, Ayy 400031003 Qasr, Faqqoo' 400031004 Aghwar Janoobiyyeh 400032001 Qasabet Ettafileh, Bsaira, Hesa 400033001 Qasabet Ma'an, Shoabak, Husseiniyyeh 400033002 Petra 400034001 Qasabet El-Aqaba, Quaira Geography: F-N Variables -- HOUSEHOLD Jordan, District 2004 [Level 2, GIS] GEO2_JO2004 identifies the household's district within Jordan in 2004. Districts are the second level administrative units of the country, after governorates. A GIS map (in shapefile format), corresponding to GEO2_JO2004 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Jordan 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. 011001 Qasabet Amman 011002 Marka 011003 Jami'ah 011004 Quaismeh 011005 Wadi Essier 011006 Na'oor 011007 Sahab 011008 Jizeh 011009 Mowaqqar 012001 Ain El-Basha 012002 Qasabet Essalt 012003 Dair Alla 012004 Shooneh Janoobiyyeh 012005 Mahes and Fohais 013001 Qasabet Ezzarqa 013002 Russeifa 013003 Hashemiyyeh 014001 Qasabet Madaba 014002 Bieban 021001 Qasabet Irbid 021002 Ramtha 021003 Bani Ebaid 021004 Kora 021005 Aghwar Shamaliyyeh 021006 Bani Kenanah 021007 Mazar Shamali 021008 Tayybeh 021009 Wasatiyyah 022001 Qasabet El-Mafraq 022002 Badiah Shamaliyyeh Gharbiyyeh 022003 Badiah Shamaliyyeh, Erwaished 023001 Qasabet Jarash 024001 Qasabet Ajloun 024002 Kofranjah 031001 Qasabet El-Karak, Qetraneh 031002 Mazar Janoobi, Ayy 031003 Qasr, Faqqoo' 031004 Aghwar Janoobiyyeh 032001 Qasabet Ettafileh, Bsaira, Hesa 033001 Qasabet Ma'an, Shoabak, Husseiniyyeh 033002 Petra 034001 Qasabet El-Aqaba, Quaira Geography: F-N Variables -- HOUSEHOLD DHS-IPUMS-I Jordan regions, 1990-2012 [consistent boundaries, GIS] DHS_IPUMSI_JO provides geographic codes for Jordan that match those in the DHS and IPUMS-International databases. This variable can be used to link contextual area data from IPUMS-DHS to IPUMS-International or vice versa. The codes in DHS_IPUMSI_JO indicate the major administrative unit in which the household was enumerated or surveyed. GIS shapefiles for Jordan can be downloaded here. 1 Amman, Madaba 2 Balqa 3 Zarqa, Mafraq 4 Irbid, Jarash, Ajlun 5 Karak, Tafiela, Ma'an, Aqaba Geography: IPUMS-I, IPUMS-DHS Variables -- HOUSEHOLD Ownership of dwelling [general version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 0 NIU (not in universe) 1 Owned 2 Not owned 9 Unknown Household Economic Variables -- HOUSEHOLD Ownership of dwelling [detailed version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 000 NIU (not in universe) 100 Owned 110 Owned, already paid 120 Owned, still paying 130 Owned, constructed 140 Owned, inherited 190 Owned, other 191 Owned, house 192 Owned, condominium 193 Apartment proprietor 194 Shared ownership 200 Not owned 210 Renting, not specified 211 Renting, government 212 Renting, local authority 213 Renting, parastatal 214 Renting, private 215 Renting, private company 216 Renting, individual 217 Renting, collective 218 Renting, joint state and individual 219 Renting, public subsidized 220 Renting, private subsidized 221 Renting, co-tenant 222 Renting, relative of tenant 223 Renting, cooperative 224 Renting, with a job or business 225 Renting, loan-backed habitation 226 Renting, mixed contract 227 Furnished dwelling 228 Sharecropping 230 Subletting 231 Rent to own 239 Renting, other 240 Occupied de facto/squatting 250 Free/usufruct (no cash rent) 251 Free, provided by employer 252 Free, without work or services 253 Free, provided by family or friend 254 Free, private 255 Free, public 256 Free, condemned 257 Free, other 260 Endowment, Waqf (Egypt historical) 290 Not owned, other 999 Unknown Household Economic Variables -- HOUSEHOLD Electricity ELECTRIC indicates whether the household had access to electricity. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Utilities Variables -- HOUSEHOLD Water supply WATSUP describes the physical means by which the housing unit receives its water. The primary distinction is whether or not the household had piped (running) water. 00 NIU (not in universe) 10 Yes, piped water 11 Piped inside dwelling 12 Piped, exclusively to this household 13 Piped, shared with other households 14 Piped outside the dwelling 15 Piped outside dwelling, in building 16 Piped within the building or plot of land 17 Piped outside the building or lot 18 Have access to public piped water 20 No piped water 99 Unknown Utilities Variables -- HOUSEHOLD Sewage SEWAGE indicates whether the household has access to a sewage system or septic tank. 00 NIU (not in universe) 10 Connected to sewage system or septic tank 11 Sewage system (public sewage disposal) 12 Septic tank (private sewage disposal) 20 Not connected to sewage disposal system 99 Unknown Utilities Variables -- HOUSEHOLD 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 Telephone availability PHONE indicates the availability of a telephone in the dwelling. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Utilities Variables -- HOUSEHOLD Cellular phone availability CELL indicates the availability of a cellular phone in the household. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Utilities Variables -- HOUSEHOLD Internet access INTERNET indicates whether or not the household had an internet connection. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown Utilities Variables -- HOUSEHOLD Automobiles available AUTOS records whether a member of the household owned or had use of a vehicle and, in many samples, the number of such vehicles. 0 No autos 1 1 auto 2 2 autos 3 3 autos 4 4 autos 5 5 autos 6 6+ autos 7 Have auto, number unspecified 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Computer COMPUTER indicates whether the household had a personal computer. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Clothes washing machine WASHER indicates whether the household had a clothes washing machine. 0 NIU (not in universe) 1 No 2 Yes 3 Automatic or semi-automatic 4 Wringer or other non-automatic 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Refrigerator REFRIG indicates whether the household had a refrigerator. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Television set TV indicates whether the household had a television. 00 NIU (not in universe) 10 No 20 Yes, color or black-and-white not specified 21 1 television 22 2 televisions 23 3 televisions 24 4 televisions 25 5 televisions 26 6 televisions 27 7 televisions 28 8 televisions 29 9+ televisions 30 Yes, at least one color tv 31 1 color tv 32 2 color tvs 33 3+ televisions 40 Yes, black-and-white only 41 1 black-white tv 42 2 black-white tvs 43 3+ black-white tvs 99 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Radio in household RADIO indicates whether the household had a radio. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing 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 Number of bedrooms BEDROOMS indicates the number of rooms available to members of the household for sleeping. 00 No bedrooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) 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 Wall or building material This variable indicates the primary material used in the construction of the dwelling, particularly the dwelling's exterior walls. 000 NIU (not in universe) 100 No walls 200 Cardboard, scrap, and miscellaneous materials 201 Waste, scrap, or discarded material 202 Fabric or discarded material 203 Zinc, fabric, cardboard, tins, and waste material 204 Cardboard sheet 205 Plastic sheeting, cardboard 206 Makeshift, salvaged, or improvised materials 207 Reused materials 300 Wood 310 Rough wood 320 Wood, fibercement or plywood 330 Wood, formica, and other 340 Wood or bamboo 350 Wood or straw 400 Other plant-based materials 401 Plantain leaves and similar material 402 Bamboo or cane 403 Bamboo, sawali, cogon, nipa 404 Straw or bamboo 405 Grass, straw or reed 406 Reed, bamboo, or palm 407 Cane, palm leaves, logs 408 Palm leaves or palm planks 409 Bark, sticks, or cane 500 Masonry, stone, cement, adobe, metal, glass, and other fabricated materials (sometimes mixed with wood) 501 Brick, block, stone, or cement 502 Brick, stone, concrete 503 Brick, stone, or substitutes (dividing panels made of reinforced concrete) 504 Brick, stone, or substitutes (dividing panels made of wood) 505 Brick or tile 506 Brick or stone 507 Brick or cement block 508 Brick with plaster exterior 509 Brick without plaster exterior 510 Burnt or stabilized brick 511 Covered brick 512 Brick 513 Unburnt brick 514 Unburnt brick with cement 515 Unburnt brick with mud 516 Concrete 517 Landcrete, sandcrete 518 Cement blocks 519 Cement blocks or brick 520 Cement blocks or brick, unfinished 521 Cement and adobe bricks 522 Cement and stone block 523 Cement and tiles 524 Reinforced concrete, pre-cast concrete panels, or steel skeleton framed concrete 525 Concrete, reinforced concrete, blocks, panels 526 Fibercement 527 Adobe 528 Adobe walls with plaster exterior 529 Adobe walls without plaster exterior 530 Adobe with cement exterior 531 Wood and earth adobe 532 Wood and cement adobe 533 Mud or adobe 534 Pressed dirt 535 Clay 536 Coated clay/mud with sticks/cane 537 Clay or clay-covered sticks 538 Netted bamboo or cane with mud 539 Bundle of mud, straw, other materials 540 Mud with wood/wattle 541 Pole and mud 542 Mud with cement 543 Unfinished lathe and plaster, stucco, etc. 544 Stone 545 Hand-laid stone 546 Quarried stone 547 Cut stone and concrete 548 Cemented stone 549 Stone with clay 550 Blocks of light material 551 Prefabricated material 552 Asbestos 553 Metal or asbestos sheet 554 Metal or iron sheet 555 Metal or fibercement sheeting 556 Galvanized iron or aluminum 557 Tin 558 Glass 559 Cloth 560 Covintec panels 561 Mixed material 562 Mixed material: part wood; part concrete, brick, or stone 563 Wood plastered with clay, adobe, other materials; wood pressed panels; rolled mud bricks; etc. 564 Mixed material: wood or galvanized metal 570 Mainly permanent materials 600 Other material 601 Partition wall, lined with wood or steel 602 Partition wall, unlined 999 Unknown/missing 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 Elevator in structure ELEVATOR indicates whether housing units in the building had access to a passenger elevator. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Living area in square meters LIVEAREA describes the total living area in the dwelling inhabited by the household. LIVEAREA is a 3-digit numeric variable. Codes000 = NIU (not in universe) 999 = Unknown Top codes:Unless otherwise specified: 998+ Austria 1991-2001: 150+ Belarus 1999: 201+ Belarus 2009: 250+ Germany 1987: 361+ Hungary 2001: 260+ Hungary 2011: 301+ Iran 2006: 501+ Italy 2001: 150+ Italy 2011: 145+ Laos 2005: 200+ Philippines 1990-2010: 200+ Poland 2002: 200+ Romania 2002: 221+ Romania 2011: 500+ Slovenia 2002: 101+ Spain 1991: 181+ Spain 2001-2011: 900+ Switzerland 1980-1990: 400+ Switzerland 2000: 500+ Dwelling Characteristics Variables -- HOUSEHOLD Household classification HHTYPE is a constructed variable that describes the composition of households. HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ. 00 Vacant household 01 One-person household 02 Married/cohab couple, no children 03 Married/cohab couple with children 04 Single-parent family 05 Polygamous family 06 Extended family, relatives only 07 Composite household, family and non-relatives 08 Non-family household 09 Unclassified subfamily 10 Other relative or non-relative household 11 Group quarters 99 Unclassifiable Constructed Household Variables -- HOUSEHOLD Number of families in household NFAMS is a constructed variable that indicates the number of families within each household. Family membership is defined by FAMUNIT. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and a domestic employee contains two families; a household consisting of a large, multi-generation extended family with no persons unrelated to the head counts as a single family. NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail. 0 Vacant household 1 1 family 2 2 families 3 3 families 4 4 families 5 5 families 6 6 families 7 7 families 8 8 families 9 9 or more families Constructed Household Variables -- HOUSEHOLD Number of married couples in household NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household. NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household). 0 No married couples in household 1 1 couple 2 2 couples 3 3 couples 4 4 couples 5 5 couples 6 6 couples 7 7 couples 8 8 couples 9 9 or more couples Constructed Household Variables -- HOUSEHOLD Number of mothers in household NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household. NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household). 0 No mothers in household 1 1 mother 2 2 mothers 3 3 mothers 4 4 mothers 5 5 mothers 6 6 mothers 7 7 mothers 8 8 mothers 9 9 or more mothers in household Constructed Household Variables -- HOUSEHOLD Number of fathers in household NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household. NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household). 0 No fathers in household 1 1 father 2 2 fathers 3 3 fathers 4 4 fathers 5 5 fathers 6 6 fathers 7 7 fathers 8 8 fathers 9 9 or more fathers in household Constructed Household Variables -- HOUSEHOLD Head's location in household HEADLOC gives the person number (PERNUM) of the head of household in samples in which persons are organized into households. HEADLOC is a 3-digit numeric variable. Constructed Household Variables -- HOUSEHOLD Dwelling number Jordan 2004: All households This variable indicates the dwelling number. This is a 5-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Number of persons in household Jordan 2004: 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 27 27 28 28 Technical Household Variables -- HOUSEHOLD Urban_Rural <span class="h2">Building and housing register</span></p> <p><svar v="JO04A016 JO04A017 JO04A018 JO04A019 JO04A020 JO04A021 JO04A022 JO04A023 JO04A024" a="all"><span class="h3">1. Identification Information</span><br />101. Governorate _ _<br />102. District _ _<br />103. Sub-district _<br />104. Locality _ _ _<br />105. Area _ _<br />106. Neighborhood _ _<br />107. Block Number _ _ _<br /></svar> Jordan 2004: All households This variable indicates whether the area where the household resides is urban or rural. 1 Urban 2 Rural Geography: F-N Variables -- HOUSEHOLD Sample type Jordan 2004: All households This variable indicates whether the household is in private or collective sample. 1 Private household sample 2 Collective sample Group Quarters Variables -- HOUSEHOLD Household member suffers from any handicap <svar v="JO04A029 JO04A030 JO04A463" a=" JO04A029">235. Does any member of the household suffer from any handicap?<br /><div class="i1">[] 1 Yes<br />[] 2 No (skip to section 4)<br />[] 3 Don't know (skip to section 4)<br />[] 4 No answer (skip to section 4)</div><br /></svar></p> <p><svar v="JO04A030" a="all">236. Number of handicapped persons _ _<br />[Question 236 was asked of persons who were handicapped household member, per Question 235.]<br />237. Line number from 203 _<br />[Question 237 was asked of persons who had handicapped household member, per Question 235.]<br />238. Name from 204 ____<br />[Question 238 was asked of persons who had handicapped household member, per Question 235.]<br /></svar> Jordan 2004: Not hotel or public housing unit [discrepancies: none] This variable indicates whether any member of the household suffers from any handicap. 1 Yes 2 No 3 Don't know 8 Unknown 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Number of handicapped persons <svar v="JO04A030" a="all">236. Number of handicapped persons _ _<br />[Question 236 was asked of persons who were handicapped household member, per Question 235.]<br />237. Line number from 203 _<br />[Question 237 was asked of persons who had handicapped household member, per Question 235.]<br />238. Name from 204 ____<br />[Question 238 was asked of persons who had handicapped household member, per Question 235.]<br /></svar> Jordan 2004: Households with handicapped persons; not hotel or public housing unit [discrepancies: none] This variable indicates the number of handicapped persons in the household. 1 1 2 2 3 3 4 4+ 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Radio/tape recorder <svar v="JO04A031 JO04A032 JO04A033 JO04A034 JO04A035 JO04A036 JO04A037 JO04A038 JO04A039 JO04A040 JO04A041 JO04A042 JO04A043 JO04A044 JO04A045 JO04A046 JO04A047 JO04A048 JO04A049 JO04A050 JO04A051 JO04A052 JO04A053 JO04A054"><span class="h3">Section 4. Does the household have any of the following appliances or services? If available ask for the number</span><br />[Questions 240 to 252]<br /></svar></p> <p><svar v="JO04A031 JO04A032" a="all">240. Radio / tape recorder<br /><div class="i1">[] 1 Yes</div><br /><div class="i2">Number _</div><br /><div class="i1">[] 2 No</div><br /></svar> Jordan 2004: Not hotel or public housing unit [discrepancies: none] This variable indicates whether the household has any radio/ tape recorder. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of radio/tape recorders <svar v="JO04A031 JO04A032 JO04A033 JO04A034 JO04A035 JO04A036 JO04A037 JO04A038 JO04A039 JO04A040 JO04A041 JO04A042 JO04A043 JO04A044 JO04A045 JO04A046 JO04A047 JO04A048 JO04A049 JO04A050 JO04A051 JO04A052 JO04A053 JO04A054"><span class="h3">Section 4. Does the household have any of the following appliances or services? If available ask for the number</span><br />[Questions 240 to 252]<br /></svar></p> <p><svar v="JO04A031 JO04A032" a="all">240. Radio / tape recorder<br /><div class="i1">[] 1 Yes</div><br /><div class="i2">Number _</div><br /><div class="i1">[] 2 No</div><br /></svar> Jordan 2004: Households with radio or tape recorder; not hotel or public housing unit [discrepancies: none] This variable indicates the number of radio/tape recorders the household has. 1 1 2 2 3 3 4 4 5 5+ 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Television <svar v="JO04A031 JO04A032 JO04A033 JO04A034 JO04A035 JO04A036 JO04A037 JO04A038 JO04A039 JO04A040 JO04A041 JO04A042 JO04A043 JO04A044 JO04A045 JO04A046 JO04A047 JO04A048 JO04A049 JO04A050 JO04A051 JO04A052 JO04A053 JO04A054"><span class="h3">Section 4. Does the household have any of the following appliances or services? If available ask for the number</span><br />[Questions 240 to 252]<br /></svar></p> <p><svar v="JO04A033 JO04A034" a="all">241. Television<br /><div class="i1">[] 1 Yes</div><br /><div class="i2">Number _</div><br /><div class="i1">[] 2 No</div><br /></svar> Jordan 2004: Not hotel or public housing unit [discrepancies: none] This variable indicates whether the household has a television. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of televisions <svar v="JO04A031 JO04A032 JO04A033 JO04A034 JO04A035 JO04A036 JO04A037 JO04A038 JO04A039 JO04A040 JO04A041 JO04A042 JO04A043 JO04A044 JO04A045 JO04A046 JO04A047 JO04A048 JO04A049 JO04A050 JO04A051 JO04A052 JO04A053 JO04A054"><span class="h3">Section 4. Does the household have any of the following appliances or services? If available ask for the number</span><br />[Questions 240 to 252]<br /></svar></p> <p><svar v="JO04A033 JO04A034" a="all">241. Television<br /><div class="i1">[] 1 Yes</div><br /><div class="i2">Number _</div><br /><div class="i1">[] 2 No</div><br /></svar> Jordan 2004: Households with television; not hotel or public housing unit [discrepancies: none] This variable indicates the number of televisions the household has. 1 1 2 2 3 3 4 4+ 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Satellite dish <svar v="JO04A031 JO04A032 JO04A033 JO04A034 JO04A035 JO04A036 JO04A037 JO04A038 JO04A039 JO04A040 JO04A041 JO04A042 JO04A043 JO04A044 JO04A045 JO04A046 JO04A047 JO04A048 JO04A049 JO04A050 JO04A051 JO04A052 JO04A053 JO04A054"><span class="h3">Section 4. Does the household have any of the following appliances or services? If available ask for the number</span><br />[Questions 240 to 252]<br /></svar></p> <p><svar v="JO04A035 JO04A036" a="all">242. Satellite<br /><div class="i1">[] 1 Yes</div><br /><div class="i2">Number _</div><br /><div class="i1">[] 2 No</div><br /></svar> Jordan 2004: Not hotel or public housing unit [discrepancies: none] This variable indicates whether the household has a satellite dish. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of satellite dishes <svar v="JO04A031 JO04A032 JO04A033 JO04A034 JO04A035 JO04A036 JO04A037 JO04A038 JO04A039 JO04A040 JO04A041 JO04A042 JO04A043 JO04A044 JO04A045 JO04A046 JO04A047 JO04A048 JO04A049 JO04A050 JO04A051 JO04A052 JO04A053 JO04A054"><span class="h3">Section 4. Does the household have any of the following appliances or services? If available ask for the number</span><br />[Questions 240 to 252]<br /></svar></p> <p><svar v="JO04A035 JO04A036" a="all">242. Satellite<br /><div class="i1">[] 1 Yes</div><br /><div class="i2">Number _</div><br /><div class="i1">[] 2 No</div><br /></svar> Jordan 2004: Households with satellite dish; not hotel or public housing unit [discrepancies: none] This variable indicates the number of satellite dishes the household has. 1 1 2 2 3 3+ 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Refrigerator <svar v="JO04A031 JO04A032 JO04A033 JO04A034 JO04A035 JO04A036 JO04A037 JO04A038 JO04A039 JO04A040 JO04A041 JO04A042 JO04A043 JO04A044 JO04A045 JO04A046 JO04A047 JO04A048 JO04A049 JO04A050 JO04A051 JO04A052 JO04A053 JO04A054"><span class="h3">Section 4. Does the household have any of the following appliances or services? If available ask for the number</span><br />[Questions 240 to 252]<br /></svar></p> <p><svar v="JO04A037 JO04A038" a="all">243. Refrigerator<br /><div class="i1">[] 1 Yes</div><br /><div class="i2">Number _</div><br /><div class="i1">[] 2 No</div><br /></svar> Jordan 2004: Not hotel or public housing unit [discrepancies: none] This variable indicates whether the household has any refrigerator. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of refrigerators <svar v="JO04A031 JO04A032 JO04A033 JO04A034 JO04A035 JO04A036 JO04A037 JO04A038 JO04A039 JO04A040 JO04A041 JO04A042 JO04A043 JO04A044 JO04A045 JO04A046 JO04A047 JO04A048 JO04A049 JO04A050 JO04A051 JO04A052 JO04A053 JO04A054"><span class="h3">Section 4. Does the household have any of the following appliances or services? If available ask for the number</span><br />[Questions 240 to 252]<br /></svar></p> <p><svar v="JO04A037 JO04A038" a="all">243. Refrigerator<br /><div class="i1">[] 1 Yes</div><br /><div class="i2">Number _</div><br /><div class="i1">[] 2 No</div><br /></svar> Jordan 2004: Households with refrigerator; not hotel or public housing unit [discrepancies: none] This variable indicates the number of refrigerators the household has. 1 1 2 2 3 3+ 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Washing machine <svar v="JO04A031 JO04A032 JO04A033 JO04A034 JO04A035 JO04A036 JO04A037 JO04A038 JO04A039 JO04A040 JO04A041 JO04A042 JO04A043 JO04A044 JO04A045 JO04A046 JO04A047 JO04A048 JO04A049 JO04A050 JO04A051 JO04A052 JO04A053 JO04A054"><span class="h3">Section 4. Does the household have any of the following appliances or services? If available ask for the number</span><br />[Questions 240 to 252]<br /></svar></p> <p><svar v="JO04A039 JO04A040" a="all">244. Washing machine<br /><div class="i1">[] 1 Yes</div><br /><div class="i2">Number _</div><br /><div class="i1">[] 2 No</div><br /></svar> Jordan 2004: Not hotel or public housing unit [discrepancies: none] This variable indicates whether the household has a washing machine. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of washing machines <svar v="JO04A031 JO04A032 JO04A033 JO04A034 JO04A035 JO04A036 JO04A037 JO04A038 JO04A039 JO04A040 JO04A041 JO04A042 JO04A043 JO04A044 JO04A045 JO04A046 JO04A047 JO04A048 JO04A049 JO04A050 JO04A051 JO04A052 JO04A053 JO04A054"><span class="h3">Section 4. Does the household have any of the following appliances or services? If available ask for the number</span><br />[Questions 240 to 252]<br /></svar></p> <p><svar v="JO04A039 JO04A040" a="all">244. Washing machine<br /><div class="i1">[] 1 Yes</div><br /><div class="i2">Number _</div><br /><div class="i1">[] 2 No</div><br /></svar> Jordan 2004: Households with washing machine; not hotel or public housing unit [discrepancies: none] This variable indicates the number of washing machines the household has. 1 1 2 2 3 3+ 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Solar heater <svar v="JO04A031 JO04A032 JO04A033 JO04A034 JO04A035 JO04A036 JO04A037 JO04A038 JO04A039 JO04A040 JO04A041 JO04A042 JO04A043 JO04A044 JO04A045 JO04A046 JO04A047 JO04A048 JO04A049 JO04A050 JO04A051 JO04A052 JO04A053 JO04A054"><span class="h3">Section 4. Does the household have any of the following appliances or services? If available ask for the number</span><br />[Questions 240 to 252]<br /></svar></p> <p><svar v="JO04A041 JO04A042" a="all">245. Solar heater<br /><div class="i1">[] 1 Yes</div><br /><div class="i2">Number _<br />[If the number is 8 or more enter 8]</div><br /><div class="i1">[] 2 No</div><br /></svar> Jordan 2004: Not hotel or public housing unit [discrepancies: none] This variable indicates whether the household has a solar heater. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of solar heaters <svar v="JO04A031 JO04A032 JO04A033 JO04A034 JO04A035 JO04A036 JO04A037 JO04A038 JO04A039 JO04A040 JO04A041 JO04A042 JO04A043 JO04A044 JO04A045 JO04A046 JO04A047 JO04A048 JO04A049 JO04A050 JO04A051 JO04A052 JO04A053 JO04A054"><span class="h3">Section 4. Does the household have any of the following appliances or services? If available ask for the number</span><br />[Questions 240 to 252]<br /></svar></p> <p><svar v="JO04A041 JO04A042" a="all">245. Solar heater<br /><div class="i1">[] 1 Yes</div><br /><div class="i2">Number _<br />[If the number is 8 or more enter 8]</div><br /><div class="i1">[] 2 No</div><br /></svar> Jordan 2004: Households with solar heater; not hotel or public housing unit [discrepancies: none] This variable indicates the number of solar heaters the household has. 1 1 2 2+ 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Gas cooker <svar v="JO04A031 JO04A032 JO04A033 JO04A034 JO04A035 JO04A036 JO04A037 JO04A038 JO04A039 JO04A040 JO04A041 JO04A042 JO04A043 JO04A044 JO04A045 JO04A046 JO04A047 JO04A048 JO04A049 JO04A050 JO04A051 JO04A052 JO04A053 JO04A054"><span class="h3">Section 4. Does the household have any of the following appliances or services? If available ask for the number</span><br />[Questions 240 to 252]<br /></svar></p> <p><svar v="JO04A043 JO04A044" a="all">246. Gas cooker<br /><div class="i1">[] 1 Yes</div><br /><div class="i2">Number _<br />[If the number is 8 or more enter 8]</div><br /><div class="i1">[] 2 No</div><br /></svar> Jordan 2004: Not hotel or public housing unit [discrepancies: none] This variable indicates whether the household has a gas cooker. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of gas cookers <svar v="JO04A031 JO04A032 JO04A033 JO04A034 JO04A035 JO04A036 JO04A037 JO04A038 JO04A039 JO04A040 JO04A041 JO04A042 JO04A043 JO04A044 JO04A045 JO04A046 JO04A047 JO04A048 JO04A049 JO04A050 JO04A051 JO04A052 JO04A053 JO04A054"><span class="h3">Section 4. Does the household have any of the following appliances or services? If available ask for the number</span><br />[Questions 240 to 252]<br /></svar></p> <p><svar v="JO04A043 JO04A044" a="all">246. Gas cooker<br /><div class="i1">[] 1 Yes</div><br /><div class="i2">Number _<br />[If the number is 8 or more enter 8]</div><br /><div class="i1">[] 2 No</div><br /></svar> Jordan 2004: Households with gas cooker; not hotel or public housing unit [discrepancies: none] This variable indicates the number of gas cookers the household has. 1 1 2 2 3 3+ 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Microwave oven <svar v="JO04A031 JO04A032 JO04A033 JO04A034 JO04A035 JO04A036 JO04A037 JO04A038 JO04A039 JO04A040 JO04A041 JO04A042 JO04A043 JO04A044 JO04A045 JO04A046 JO04A047 JO04A048 JO04A049 JO04A050 JO04A051 JO04A052 JO04A053 JO04A054"><span class="h3">Section 4. Does the household have any of the following appliances or services? If available ask for the number</span><br />[Questions 240 to 252]<br /></svar></p> <p><svar v="JO04A045 JO04A046" a="all">247. Microwave<br /><div class="i1">[] 1 Yes</div><br /><div class="i2">Number _<br />[If the number is 8 or more enter 8]</div><br /><div class="i1">[] 2 No</div><br /></svar> Jordan 2004: Not hotel or public housing unit [discrepancies: none] This variable indicates whether the household has a microwave oven. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of microwave ovens <svar v="JO04A031 JO04A032 JO04A033 JO04A034 JO04A035 JO04A036 JO04A037 JO04A038 JO04A039 JO04A040 JO04A041 JO04A042 JO04A043 JO04A044 JO04A045 JO04A046 JO04A047 JO04A048 JO04A049 JO04A050 JO04A051 JO04A052 JO04A053 JO04A054"><span class="h3">Section 4. Does the household have any of the following appliances or services? If available ask for the number</span><br />[Questions 240 to 252]<br /></svar></p> <p><svar v="JO04A045 JO04A046" a="all">247. Microwave<br /><div class="i1">[] 1 Yes</div><br /><div class="i2">Number _<br />[If the number is 8 or more enter 8]</div><br /><div class="i1">[] 2 No</div><br /></svar> Jordan 2004: Households with microwave oven; not hotel or public housing unit [discrepancies: none] This variable indicates the number of microwave oven the household has. 1 1 2 2 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Private car/pickup <svar v="JO04A031 JO04A032 JO04A033 JO04A034 JO04A035 JO04A036 JO04A037 JO04A038 JO04A039 JO04A040 JO04A041 JO04A042 JO04A043 JO04A044 JO04A045 JO04A046 JO04A047 JO04A048 JO04A049 JO04A050 JO04A051 JO04A052 JO04A053 JO04A054"><span class="h3">Section 4. Does the household have any of the following appliances or services? If available ask for the number</span><br />[Questions 240 to 252]<br /></svar></p> <p><svar v="JO04A047 JO04A048" a="all">248. Private car / pick up<br /><div class="i1">[] 1 Yes</div><br /><div class="i2">Number _<br />[If the number is 8 or more enter 8]</div><br /><div class="i1">[] 2 No</div><br /></svar> Jordan 2004: Not hotel or public housing unit [discrepancies: none] This variable indicates whether the household has a private car/ pick up. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of private cars/pickups <svar v="JO04A031 JO04A032 JO04A033 JO04A034 JO04A035 JO04A036 JO04A037 JO04A038 JO04A039 JO04A040 JO04A041 JO04A042 JO04A043 JO04A044 JO04A045 JO04A046 JO04A047 JO04A048 JO04A049 JO04A050 JO04A051 JO04A052 JO04A053 JO04A054"><span class="h3">Section 4. Does the household have any of the following appliances or services? If available ask for the number</span><br />[Questions 240 to 252]<br /></svar></p> <p><svar v="JO04A047 JO04A048" a="all">248. Private car / pick up<br /><div class="i1">[] 1 Yes</div><br /><div class="i2">Number _<br />[If the number is 8 or more enter 8]</div><br /><div class="i1">[] 2 No</div><br /></svar> Jordan 2004: Households with private car or pickup; not hotel or public housing unit [discrepancies: none] This variable indicates number of private car/pick up the household has. 1 1 2 2 3 3 4 4+ 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Telephone <svar v="JO04A031 JO04A032 JO04A033 JO04A034 JO04A035 JO04A036 JO04A037 JO04A038 JO04A039 JO04A040 JO04A041 JO04A042 JO04A043 JO04A044 JO04A045 JO04A046 JO04A047 JO04A048 JO04A049 JO04A050 JO04A051 JO04A052 JO04A053 JO04A054"><span class="h3">Section 4. Does the household have any of the following appliances or services? If available ask for the number</span><br />[Questions 240 to 252]<br /></svar></p> <p><svar v="JO04A049" a="all">249. Telephone<br /><div class="i1">[] 1 Yes</div><br /><div class="i2">Number _<br />[If the number is 8 or more enter 8]</div><br /><div class="i1">[] 2 No</div><br /></svar> Jordan 2004: Not hotel or public housing unit [discrepancies: none] This variable indicates whether the household has a telephone. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Mobile telephone <svar v="JO04A031 JO04A032 JO04A033 JO04A034 JO04A035 JO04A036 JO04A037 JO04A038 JO04A039 JO04A040 JO04A041 JO04A042 JO04A043 JO04A044 JO04A045 JO04A046 JO04A047 JO04A048 JO04A049 JO04A050 JO04A051 JO04A052 JO04A053 JO04A054"><span class="h3">Section 4. Does the household have any of the following appliances or services? If available ask for the number</span><br />[Questions 240 to 252]<br /></svar></p> <p><svar v="JO04A050 JO04A051" a="all">250. Mobile<br /><div class="i1">[] 1 Yes</div><br /><div class="i2">Number _<br />[If the number is 8 or more enter 8]</div><br /><div class="i1">[] 2 No</div><br /></svar> Jordan 2004: Not hotel or public housing unit [discrepancies: none] This variable indicates whether the household has a mobile telephone. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Number of mobile telephones <svar v="JO04A031 JO04A032 JO04A033 JO04A034 JO04A035 JO04A036 JO04A037 JO04A038 JO04A039 JO04A040 JO04A041 JO04A042 JO04A043 JO04A044 JO04A045 JO04A046 JO04A047 JO04A048 JO04A049 JO04A050 JO04A051 JO04A052 JO04A053 JO04A054"><span class="h3">Section 4. Does the household have any of the following appliances or services? If available ask for the number</span><br />[Questions 240 to 252]<br /></svar></p> <p><svar v="JO04A050 JO04A051" a="all">250. Mobile<br /><div class="i1">[] 1 Yes</div><br /><div class="i2">Number _<br />[If the number is 8 or more enter 8]</div><br /><div class="i1">[] 2 No</div><br /></svar> Jordan 2004: Households with mobile telephones; not hotel or public housing unit [discrepancies: none] This variable indicates number of mobile telephones the household has. 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8+ 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Computer <svar v="JO04A031 JO04A032 JO04A033 JO04A034 JO04A035 JO04A036 JO04A037 JO04A038 JO04A039 JO04A040 JO04A041 JO04A042 JO04A043 JO04A044 JO04A045 JO04A046 JO04A047 JO04A048 JO04A049 JO04A050 JO04A051 JO04A052 JO04A053 JO04A054"><span class="h3">Section 4. Does the household have any of the following appliances or services? If available ask for the number</span><br />[Questions 240 to 252]<br /></svar></p> <p><svar v="JO04A052 JO04A053" a="all">251. Computer<br /><div class="i1">[] 1 Yes</div><br /><div class="i2">Number _<br />[If the number is 8 or more enter 8]</div><br /><div class="i1">[] 2 No</div><br /></svar> Jordan 2004: Not hotel or public housing unit [discrepancies: none] This variable indicates whether the household has a computer. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of computers <svar v="JO04A031 JO04A032 JO04A033 JO04A034 JO04A035 JO04A036 JO04A037 JO04A038 JO04A039 JO04A040 JO04A041 JO04A042 JO04A043 JO04A044 JO04A045 JO04A046 JO04A047 JO04A048 JO04A049 JO04A050 JO04A051 JO04A052 JO04A053 JO04A054"><span class="h3">Section 4. Does the household have any of the following appliances or services? If available ask for the number</span><br />[Questions 240 to 252]<br /></svar></p> <p><svar v="JO04A052 JO04A053" a="all">251. Computer<br /><div class="i1">[] 1 Yes</div><br /><div class="i2">Number _<br />[If the number is 8 or more enter 8]</div><br /><div class="i1">[] 2 No</div><br /></svar> Jordan 2004: Households with computers; not hotel or public housing unit [discrepancies: none] This variable indicates the number of computers the household has. 1 1 2 2 3 3+ 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Internet access <svar v="JO04A031 JO04A032 JO04A033 JO04A034 JO04A035 JO04A036 JO04A037 JO04A038 JO04A039 JO04A040 JO04A041 JO04A042 JO04A043 JO04A044 JO04A045 JO04A046 JO04A047 JO04A048 JO04A049 JO04A050 JO04A051 JO04A052 JO04A053 JO04A054"><span class="h3">Section 4. Does the household have any of the following appliances or services? If available ask for the number</span><br />[Questions 240 to 252]<br /></svar></p> <p><svar v="JO04A054" a="all">252. Internet access<br /><div class="i1">[] 1 Yes</div><br /><div class="i2">Number _<br />[If the number is 8 or more enter 8]</div><br /><div class="i1">[] 2 No</div><br /></svar> Jordan 2004: Not hotel or public housing unit [discrepancies: none] This variable indicates whether the household has internet access. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Type of household <svar v="JO04A055 A025" a="all">253. Type of household<br /><div class="i1">[] 1 Private<br />[] 2 Collective<br />[] 3 Hotel</div><br /></svar> <svar v="JO04A055" a="all"><span class="em">Household</span><br />It consists of one or more members who occupy the entirety of the housing unit or a part of it. For census purposes, there will be two types of households: the private household and the collective household.<br /><span class="pg">[Page 6]</span><br /><span class="em">Private Household</span><br />It consists of one more members. It has a head and the members share an independent housing unit or a part of it, and they contribute together to the expenditure from the income of the head of the household or some of its members. It is typical that there is kinship relationship among the members of the household. It is also possible that a member of the household does not have a kinship relationship with the remaining members. It is also typical (but not necessary) that the members of the household share the meals or some of them. All those who are absent from the household residence for a temporary period out of Jordan that does not exceed one year is considered a member of the household who comes and resides with the household after this period. This excludes the students, the sick, and the military that are considered members of the household, regardless of the period they stay out of Jordan.<br /><span class="em">Collective Household</span><br />It consists of a group of individuals who share a collective residence, but do not share the living arrangements. Examples for that are: hotel guests, inmates, patients in public and private hospitals and the group of nurses who live together in the part of the building reserved for them. This also applies to students, orphans, the elderly, temporary or non-temporary workers who live together in collective housing. The military that live in army bases or other military establishments are excluded from this definition. They are enumerated in a special way.<br />It should be taken into consideration that some of the collective houses (where the collective households reside) could be inhabited by a special family. For example: the family of the hotel manager who live in a part in a special suite in the hotel; the director of the hospital and his family; the director of the prison and his family. Data about these families should be included in the data on special families.<br />It is also considered as a collective household any group of individuals whose number attains 6 members and more who live in a traditional residence (apartment, house, barrack), they are not related through kinship, each of them support himself even if he shares with others some meals. Examples of these families are: workers who live in work site, or live together in one apartment or house... If there are five people or less who are related through kinship, they are not considered a collective household, but a special family. The individuals absent from the collective household are not considered members of the household because there is no relationship that connects them.<br /></svar> Jordan 2004: All households This variable indicates the type of household. 1 Private household 2 Collective household 3 Hotels Group Quarters Variables -- HOUSEHOLD Number of males <svar v="JO04A056 JO04A057 JO04A058 JO04A059 JO04A060 JO04A061 JO04A062 JO04A063 JO04A064 JO04A065 JO04A066 JO04A067"><span class="h3">Section 5. Summary information of the household members</span><br /></svar></p> <p><svar v="JO04A056 JO04A057 JO04A058" a="all">Number of persons<br />254. Male _ _<br />255. Female _ _<br />256. Total _ _<br /></svar> Jordan 2004: All households This variable indicates the number of males in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12+ 99 Unknown and zero Constructed Household Variables -- HOUSEHOLD Number of females <svar v="JO04A056 JO04A057 JO04A058 JO04A059 JO04A060 JO04A061 JO04A062 JO04A063 JO04A064 JO04A065 JO04A066 JO04A067"><span class="h3">Section 5. Summary information of the household members</span><br /></svar></p> <p><svar v="JO04A056 JO04A057 JO04A058" a="all">Number of persons<br />254. Male _ _<br />255. Female _ _<br />256. Total _ _<br /></svar> Jordan 2004: All households This variable indicates the number of females in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12+ 99 Unknown and zero Constructed Household Variables -- HOUSEHOLD Total number of household members <svar v="JO04A056 JO04A057 JO04A058 JO04A059 JO04A060 JO04A061 JO04A062 JO04A063 JO04A064 JO04A065 JO04A066 JO04A067"><span class="h3">Section 5. Summary information of the household members</span><br /></svar></p> <p><svar v="JO04A056 JO04A057 JO04A058" a="all">Number of persons<br />254. Male _ _<br />255. Female _ _<br />256. Total _ _<br /></svar> Jordan 2004: All households This variable indicates the total number of household members. 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+ 99 Unknown Constructed Household Variables -- HOUSEHOLD Jordanian males inside Jordan <svar v="JO04A056 JO04A057 JO04A058 JO04A059 JO04A060 JO04A061 JO04A062 JO04A063 JO04A064 JO04A065 JO04A066 JO04A067"><span class="h3">Section 5. Summary information of the household members</span><br /></svar></p> <p><svar v="JO04A059 JO04A060 JO04A061" a="all">Population inside Jordan<br /> <div class="i1">Jordanians<br />257. Male _ _<br />258. Female _ _<br />259. Total _ _</div><br /></svar> Jordan 2004: All households This variable indicates the number of Jordanian male inside Jordan who are household members. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11+ 99 Unknown and zero Constructed Household Variables -- HOUSEHOLD Jordanian females inside Jordan <svar v="JO04A056 JO04A057 JO04A058 JO04A059 JO04A060 JO04A061 JO04A062 JO04A063 JO04A064 JO04A065 JO04A066 JO04A067"><span class="h3">Section 5. Summary information of the household members</span><br /></svar></p> <p><svar v="JO04A059 JO04A060 JO04A061" a="all">Population inside Jordan<br /> <div class="i1">Jordanians<br />257. Male _ _<br />258. Female _ _<br />259. Total _ _</div><br /></svar> Jordan 2004: All households This variable indicates the number of Jordanian female inside Jordan who are household members. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11+ 99 Unknown and zero Constructed Household Variables -- HOUSEHOLD Total Jordanians inside Jordan <svar v="JO04A056 JO04A057 JO04A058 JO04A059 JO04A060 JO04A061 JO04A062 JO04A063 JO04A064 JO04A065 JO04A066 JO04A067"><span class="h3">Section 5. Summary information of the household members</span><br /></svar></p> <p><svar v="JO04A059 JO04A060 JO04A061" a="all">Population inside Jordan<br /> <div class="i1">Jordanians<br />257. Male _ _<br />258. Female _ _<br />259. Total _ _</div><br /></svar> Jordan 2004: All households This variable indicates the number of total Jordanians inside Jordan who are household members. 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+ 99 Unknown Constructed Household Variables -- HOUSEHOLD Non-Jordanian males inside Jordan <svar v="JO04A056 JO04A057 JO04A058 JO04A059 JO04A060 JO04A061 JO04A062 JO04A063 JO04A064 JO04A065 JO04A066 JO04A067"><span class="h3">Section 5. Summary information of the household members</span><br /></svar></p> <p><svar v="JO04A062 JO04A063 JO04A064" a="all"> <div class="i1">Non-Jordanians<br />260. Male _ _<br />261. Female _ _<br />262. Total _ _</div><br /></svar> Jordan 2004: All households This variable indicates the number of non-Jordanian male inside Jordan who are household members. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9+ 99 Unknown and zero Constructed Household Variables -- HOUSEHOLD Non-Jordanian females inside Jordan <svar v="JO04A056 JO04A057 JO04A058 JO04A059 JO04A060 JO04A061 JO04A062 JO04A063 JO04A064 JO04A065 JO04A066 JO04A067"><span class="h3">Section 5. Summary information of the household members</span><br /></svar></p> <p><svar v="JO04A062 JO04A063 JO04A064" a="all"> <div class="i1">Non-Jordanians<br />260. Male _ _<br />261. Female _ _<br />262. Total _ _</div><br /></svar> Jordan 2004: All households This variable indicates the number of non-Jordanian female inside Jordan in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9+ 99 Unknown and zero Constructed Household Variables -- HOUSEHOLD Total non-Jordanians inside Jordan <svar v="JO04A056 JO04A057 JO04A058 JO04A059 JO04A060 JO04A061 JO04A062 JO04A063 JO04A064 JO04A065 JO04A066 JO04A067"><span class="h3">Section 5. Summary information of the household members</span><br /></svar></p> <p><svar v="JO04A062 JO04A063 JO04A064" a="all"> <div class="i1">Non-Jordanians<br />260. Male _ _<br />261. Female _ _<br />262. Total _ _</div><br /></svar> Jordan 2004: All households This variable indicates the total non-Jordanian inside Jordan in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12+ 99 Unknown and zero Constructed Household Variables -- HOUSEHOLD Jordanian males outside Jordan <svar v="JO04A056 JO04A057 JO04A058 JO04A059 JO04A060 JO04A061 JO04A062 JO04A063 JO04A064 JO04A065 JO04A066 JO04A067"><span class="h3">Section 5. Summary information of the household members</span><br /></svar></p> <p><svar v="JO04A065 JO04A066 JO04A067" a="all">Jordanians abroad<br /><div class="i1">263. Male _ _<br />264. Female _ _<br />265. Total _ _</div><br /></svar> Jordan 2004: All households This variable indicates the number of Jordanian male outside Jordan in the household. 0 0 1 1 2 2 3 3+ 9 Unknown and zero Constructed Household Variables -- HOUSEHOLD Jordanian females outside Jordan <svar v="JO04A056 JO04A057 JO04A058 JO04A059 JO04A060 JO04A061 JO04A062 JO04A063 JO04A064 JO04A065 JO04A066 JO04A067"><span class="h3">Section 5. Summary information of the household members</span><br /></svar></p> <p><svar v="JO04A065 JO04A066 JO04A067" a="all">Jordanians abroad<br /><div class="i1">263. Male _ _<br />264. Female _ _<br />265. Total _ _</div><br /></svar> Jordan 2004: All households This variable indicates the number of Jordanian female outside Jordan who is a member of the household. 0 0 1 1 2 2 3 3+ 9 Unknown and zero Constructed Household Variables -- HOUSEHOLD Total number of Jordanians outside Jordan <svar v="JO04A056 JO04A057 JO04A058 JO04A059 JO04A060 JO04A061 JO04A062 JO04A063 JO04A064 JO04A065 JO04A066 JO04A067"><span class="h3">Section 5. Summary information of the household members</span><br /></svar></p> <p><svar v="JO04A065 JO04A066 JO04A067" a="all">Jordanians abroad<br /><div class="i1">263. Male _ _<br />264. Female _ _<br />265. Total _ _</div><br /></svar> Jordan 2004: All households This variable indicates the total number of Jordanians outside Jordan who are members of the household. 00 0 01 1 02 2 03 3 04 4 05 5+ 99 Unknown and zero Constructed Household Variables -- HOUSEHOLD Deaf or dumb member in the household <svar v="JO04A068 JO04A069 JO04A070 JO04A071 JO04A072 JO04A073 JO04A074 JO04A075 JO04A463" a="all">239. Kind of handicap<br /><div class="i1">[Question 239 was asked of persons who were handicapped, per Question 235.]<br />[] 1 Deaf or dumb<br />[] 2 Physical<br />[] 3 Cerebral palsy<br />[] 4 Mental<br />[] 5 Visual<br />[] 6 Multiple handicap<br />[] 7 Other (specify) ____</div><br /></svar> Jordan 2004: All households This variable indicates whether there are deaf or dumb members in the household. 1 Yes 2 No Other Household Variables -- HOUSEHOLD Physically handicapped member in the household <svar v="JO04A068 JO04A069 JO04A070 JO04A071 JO04A072 JO04A073 JO04A074 JO04A075 JO04A463" a="all">239. Kind of handicap<br /><div class="i1">[Question 239 was asked of persons who were handicapped, per Question 235.]<br />[] 1 Deaf or dumb<br />[] 2 Physical<br />[] 3 Cerebral palsy<br />[] 4 Mental<br />[] 5 Visual<br />[] 6 Multiple handicap<br />[] 7 Other (specify) ____</div><br /></svar> Jordan 2004: All households This variable indicates whether there are physically handicapped members in the household. 1 Yes 2 No Other Household Variables -- HOUSEHOLD Members with cerebral palsy in the household <svar v="JO04A068 JO04A069 JO04A070 JO04A071 JO04A072 JO04A073 JO04A074 JO04A075 JO04A463" a="all">239. Kind of handicap<br /><div class="i1">[Question 239 was asked of persons who were handicapped, per Question 235.]<br />[] 1 Deaf or dumb<br />[] 2 Physical<br />[] 3 Cerebral palsy<br />[] 4 Mental<br />[] 5 Visual<br />[] 6 Multiple handicap<br />[] 7 Other (specify) ____</div><br /></svar> Jordan 2004: All households This variable indicates whether there are members who have cerebral palsy in the household. 1 Yes 2 No Other Household Variables -- HOUSEHOLD Mentally handicapped member in the household <svar v="JO04A068 JO04A069 JO04A070 JO04A071 JO04A072 JO04A073 JO04A074 JO04A075 JO04A463" a="all">239. Kind of handicap<br /><div class="i1">[Question 239 was asked of persons who were handicapped, per Question 235.]<br />[] 1 Deaf or dumb<br />[] 2 Physical<br />[] 3 Cerebral palsy<br />[] 4 Mental<br />[] 5 Visual<br />[] 6 Multiple handicap<br />[] 7 Other (specify) ____</div><br /></svar> Jordan 2004: All households This variable indicates whether there are mentally handicapped members in the household. 1 Yes 2 No Other Household Variables -- HOUSEHOLD Visually handicapped member in the household <svar v="JO04A068 JO04A069 JO04A070 JO04A071 JO04A072 JO04A073 JO04A074 JO04A075 JO04A463" a="all">239. Kind of handicap<br /><div class="i1">[Question 239 was asked of persons who were handicapped, per Question 235.]<br />[] 1 Deaf or dumb<br />[] 2 Physical<br />[] 3 Cerebral palsy<br />[] 4 Mental<br />[] 5 Visual<br />[] 6 Multiple handicap<br />[] 7 Other (specify) ____</div><br /></svar> Jordan 2004: All households This variable indicates whether there are visually handicapped members in the household. 1 Yes 2 No Other Household Variables -- HOUSEHOLD Multiply handicapped member in the household <svar v="JO04A068 JO04A069 JO04A070 JO04A071 JO04A072 JO04A073 JO04A074 JO04A075 JO04A463" a="all">239. Kind of handicap<br /><div class="i1">[Question 239 was asked of persons who were handicapped, per Question 235.]<br />[] 1 Deaf or dumb<br />[] 2 Physical<br />[] 3 Cerebral palsy<br />[] 4 Mental<br />[] 5 Visual<br />[] 6 Multiple handicap<br />[] 7 Other (specify) ____</div><br /></svar> Jordan 2004: All households This variable indicates whether there are members with multiple handicaps in the household. 1 Yes 2 No Other Household Variables -- HOUSEHOLD Other handicapped member in the household <svar v="JO04A068 JO04A069 JO04A070 JO04A071 JO04A072 JO04A073 JO04A074 JO04A075 JO04A463" a="all">239. Kind of handicap<br /><div class="i1">[Question 239 was asked of persons who were handicapped, per Question 235.]<br />[] 1 Deaf or dumb<br />[] 2 Physical<br />[] 3 Cerebral palsy<br />[] 4 Mental<br />[] 5 Visual<br />[] 6 Multiple handicap<br />[] 7 Other (specify) ____</div><br /></svar> Jordan 2004: All households This variable indicates whether there are members with other handicap in the household. 1 Yes 2 No Other Household Variables -- HOUSEHOLD Type of housing unit <svar v="JO04A076" a="all">115. Type of housing unit<br /><div class="i1">[] 1 <span class="lang">Dar</span><br />[] 2 Apartment<br />[] 3 <span class="lang">Villa</span><br />[] 4 Barracks<br />[] 5 Hair tent / tent<br />[] 6 Establishment / work place<br />[] 7 Under construction<br />[] 8 Other (specify) ____</div><br /></svar> <svar v="JO04A076">Type of residence which is one of the following types:<br />[] 1 House: (see the definition of the type of building on page 4)<br />[] 2 Apartment: part of a building; it consists of one room or more, with special amenities for it. It has one entry or more that leads to all its contents.<br />[] 3 Villa (see definition of the type of building on page 4)<br />[] 4 Barrack (see definition of the type of building on page 4)<br />[] 5 Hair tent (see definition of the type of building on page 4)<br />[] 6 Work place: places used by employees for sleeping. Examples for that are gas stations, workers in construction sites, and such.<br />[] 7 Under construction (see definition of the type of building on page 4)<br />[] 8 Other: includes hut, cave, and gorge or places like that.<br /></svar></p> <p><svar v="JO04A076" a="all">Question 115 - the type of housing unit:<br />In most cases the enumerator determines the type of the housing unit by looking at it. It could either be a house, a flat, a villa, a barrack, a hair tent/tent, etc... The housing unit could be occupied at the time of the census. It could be available for rent. It could be closed or empty or under construction. It is important that the enumerator makes sure that the housing unit was originally designed for human residence regardless of whether it was occupied at the time of the census or not. In this case, the enumerator records the code of response that applies in the appropriate place.<br />It is worth noting that there are workers in some establishments, plants, and factories who spend the night in their work places. It is prevalent among non-Jordanian nationalities where the individual sleeps in his work place knowing that it is not for sleep. A special classification was provided for this type of housing units. It is called "work place". Therefore, it is required of the enumerator to ask, when visiting business and industrial plants or any other type of plant, whether there are individuals who sleep in these plants after the end of daily work. In this case, the plant is considered as a housing unit. Its type is "work place"; i.e. code 6.<br />However, if the enumerator noted that there is a place in the plant that is reserved for the residence of the workers, and is, accordingly, used as a place of sleep; in this case, the enumerator needs to determine the type of the housing unit. The type of the building should be plant. The description of the occupancy of the building in question 135 is multi-purpose.<br />In the case there is a building -- whatever its type is -- in the question 133, be it an apartment building, villa, or under construction, and it happened that during the time of the census, there was a group of workers who were building or completing the construction of the building and are using a part of it for sleep, in this case, the type of the building is considered in question 115 as under construction. The nature of the occupancy of the housing unit is determined on the basis of the situation that applies to it.<br /></svar> Jordan 2004: All households This variable indicates the type of housing unit. 1 Dar 2 Apartment 3 Villa 4 Barracks 5 Tent / Hair tent 6 Establishment/ work place 8 Other 9 Unknown Group Quarters Variables -- HOUSEHOLD Type of occupancy <svar v="JO04A077" a="all">116. Type of occupancy<br /><div class="i1">[] 1 Occupied by private household<br />[] 2 Occupied by collective household<br />[] 3 Hotel (skip to Q 129)<br />[] 4 Public housing unit (skip to Q 129)<br />[] 5 Vacant (skip to Q 131)<br />[] 6 Closed (skip to Q 131)<br />[] 7 Under construction (skip to Q 131)<br />[] 8 Other (specify) ____ (skip to Q 131)</div><br /></svar> <svar v="JO04A077">Type of Occupancy and it is one of the following types:<br />[] 1 Occupied by a private household<br />[] 2 Occupied by a collective household<br />[] 3 Hotel<br />[] 4 Public residence. This means a residence with special living arrangements. Examples are hospitals, prisons, female students housing, nurses housing...<br />[] 5 Empty: it is the housing unit where nobody lives at the time of the enumeration either because it is for rent (furnished or not furnished) or because it is residents are emigrants to another country, and they keep the housing unit to spend vacations and holidays, or it was just finished, or for any other reason.<br />[] 6 Closed: It is the housing unit that is inhabited, but the residents were not present at the time of the visit (time of census), for example they went to visit another family, or carry out a mission, or for tourism inside or outside Jordan. In other words, absence is for a short time.<br />[] 7 Under construction: The housing unit that has a ceiling and walls, and it is being constructed or being cleaned. In other words, the construction is not complete, and not ready to be inhabited at the time of the enumeration.<br />[] 8 Other (other than what was mentioned above).<br /></svar></p> <p><svar v="JO04A077" a="all">Question 116 - type of occupancy of the housing unit:<br />The complete the data of this question, the enumerator must fully know the difference between private household and collective household (see definition). He should also distinguish between the place used as a hotel and the other types of collective housing units.<br />The enumerator has to be accurate in the operation of data collection. He should carefully investigate whether there are in private housing units within the collective housing units. It is possible that the enumerator may encounter a building meant to be used as a hotel. However, after probing, it is possible that this hotel has a wing used as a residence for the hotel manager and his family (being a private household). Data about this private housing unit should be collected independently of the hotel despite the fact that it is located within it. It is also possible that the hotel has a set of rooms that are used for the residence of personnel under the framework of collective household. In this case, these rooms should take a special number as a collective housing unit. The type of housing unit in question 115 is apartment. All the data are compiled as if they were for a private or collective household depending on the case. The other rooms in the hotel that are reserved for guests take independent numbers. This also applies for the other public housing units such as hospitals, prisons, students housing in universities and some schools with boarding units, etc...<br />The enumerator must distinguish between the types of occupancy of housing units that are not populated. Examples of these are closed housing unit, empty housing unit, and housing unit under construction. The enumerator should link the types of occupancy with the types of housing units listed in question 115. It is not allowed that the type of the unit is hair tent/tent whereas the type of occupancy is marked as empty or under construction. Similarly, it is not allowed that the type of housing unit is "under construction" and the type of occupancy of the housing unit is hotel, empty, or occupied by a private or collective household. The type of occupancy is only described as under construction if the type of the housing unit is under construction. This being said, it is possible that the type of the housing unit is house, apartment, villa, whereas the type of housing unit is under construction.<br />In the case the type of occupancy of the housing unit is populated by a private or collective household, the enumerator continues to complete data for question 117 if the type of occupancy of the housing unit is hotel or public housing unit, move to question 129 in the case the type of occupancy of the housing unit is empty, closed, under construction, or other, move to question 131.<br /></svar> Jordan 2004: All households This variable indicates the type of household. 1 Private household 2 Collective household 3 Hotel 4 Public housing unit 9 Unknown Group Quarters Variables -- HOUSEHOLD Type of tenure <svar v="JO04A078" a="all">117. Type of tenure<br /><div class="i1">[Question 117 was asked of persons who lived in occupied private or collective household, per Question 116.]<br />[] 1 Owned by the household or one of its members (skip to Q 119)<br />[] 2 Rented unfurnished<br />[] 3 Rented furnished<br />[] 4 Owned by a relative (skip to Q 119)<br />[] 5 For work (skip to Q 119)<br />[] 6 Free (skip to Q 119)<br />[] 7 Other (specify) ____ (skip to Q 119)</div><br /></svar> <svar v="JO04A078">Type of ownership of the housing unit which is one of the following types:<br />[] 1 Owned by the household or one of its members<br />[] 2 Rented without furniture<br />[] 3 Rented with furniture<br />[] 4 Owned by one of the relatives<br />[] 5 In return for work: If the employer reserves this housing unit for the individual(s) who work for it whether this employer is governmental or private, and whether this housing unit is owned by the employer or the employer pays rent to the original owner.<br />[] 6 Free of charge<br />[] 7 Other<br /></svar></p> <p><svar v="JO04A078" a="all">Question 117 - type of ownership of the housing unit:<br />This question is only addressed to housing units which are populated by private or collective households; meaning, if the reply in question 116 is one of the codes 1 or 2. The enumerator enters the code of the reply in the appropriate place. In general and prevalent cases it is when the housing unit is owned by the household or one of its members, code 1. In this case, move to question 119 it is also possible that the housing unit is unfurnished rent, code 2. It could be furnished rent, code 3 in this case, so continue to complete the data for question 118.<br />In some cases, the housing unit could be owned by one of extended family members, but not a member of the household, code 4 the housing unit could be occupied by a private or collective household and no rent is paid in return for occupancy. A public or private establishment could agree with an individual to work in Jordan. It is possible that one of the terms of the contract is to provide furnished or non furnished housing for this individual and his family. Some companies or institutions could provide in some cases housing<br /><br /><span class="pg">[Page 42]</span><br />for some categories of workers per specific conditions. For all these cases, the ownership of the building is return for a work; i.e. code 5. In this case the residents in the housing unit do not pay a monetary rent in return for the housing benefit. In some cases, the housing unit could be occupied by a private household and none of the residents pays the rent. The housing unit is used by its residents without a payment for a limited or non-limited period. For all these cases, the ownership of the housing unit is free of charge; i.e. code 6. The type of the occupancy of the housing unit could be other; i.e. code 7. For all these cases, codes 4 -- 7, it is directly proceeded to question 119. When the type of occupancy of the housing unit is owned by the household or one of its members, it is proceeded to question 119.<br /></svar> Jordan 2004: Not hotel or public housing units [discrepancies: none] This variable indicates the tenure type of the dwelling. 1 Owned by household or members 2 Rented unfurnished 3 Rented furnished 4 Owned by relative 5 For work 6 Free 7 Other 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Monthly rent of housing unit <svar v="JO04A079" a="all">118. Monthly rent of the housing unit (in JD) _ _ _<br />[Question 118 was asked of renters who lived in occupied private or collective household, per Questions 116 and 117.]<br /></svar> <svar v="JO04A079" a="all">Question 118 - monthly rent for the rented housing unit:<br />This question is only asked if the answer for question 117 is code 2 or 3 if the housing unit is rented without or with furniture, the value of the rent is recorded using Jordanian Dinar in the space reserved for that in three cells. For example, if the monthly rent is 65 dinar, .065 is recorded. If the monthly rent is 240 Dinar, .240 is recorded. If the rent is paid annually, the value is divided by 12 and recorded according to the case that applies.<br /></svar> Jordan 2004: Rented private households [discrepancies: type I trace; type II none] This variable indicates the monthly rent of housing unit, in JD. 000 NIU (not in universe) 010 10 or less 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 38 040 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 88 090 90 091 91 092 92 093 93 095 95 097 97 098 98 099 99 100 100 102 102 103 103 104 104 105 105 108 108 109 109 110 110 113 113 114 114 115 115 116 116 117 117 120 120 122 122 125 125 126 126 130 130 132 132 133 133 134 134 135 135 137 137 140 140 142 142 143 143 145 145 150 150 154 154 155 155 158 158 160 160 161 161 165 165 166 166 167 167 170 170 171 171 175 175 180 180 183 183 185 185 190 190 191 191 195 195 196 196 197 197 198 198 200 200 205 205 208 208 210 210 212 212 215 215 216 216 217 217 220 220 222 222 225 225 230 230 235 235 240 240 250 250 260 260 267 267 270 270 275 275 280 280 285 285 290 290 291 291 292 292 300 300 315 315 320 320 330 330 333 333 335 335 340 340 350 350 or more 999 Unknown Household Economic Variables -- HOUSEHOLD Duration of occupancy of housing unit in years <svar v="JO04A080" a="all">119. Duration of occupancy of housing unit (in years) _ _<br />[Question 119 was asked of persons who lived in occupied private or collective household, per Question 116.]<br /></svar> <svar v="JO04A080" a="all">Question 119 - the duration of the occupancy of the building that is populated for years:<br />This question is about how long the household has occupied the housing unit where it resides. The duration of the occupancy is recorded using full years. If the response is that the household has been in the housing unit for ten years and a half, the duration of 10 years is written in the corresponding field. If the period is under one year, 00 is recorded.<br /></svar> Jordan 2004: Not hotel or public housing units [discrepancies: none] This variable indicates the duration, in years, of occupancy of the housing unit. 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 59 59 60 60+ 98 Unknown 99 NIU (not in universe) Other Household Variables -- HOUSEHOLD Type of heating <svar v="JO04A081" a="all">120. Type of heating<br /><div class="i1">[Question 120 was asked of persons who lived in occupied private or collective household, per Question 116.]<br />[] 1 Central heating<br />[] 2 Kerosene/ diesel heater<br />[] 3 Electricity<br />[] 4 Gas heater<br />[] 5 Coal / wood<br />[] 6 Other (specify) ____<br />[] 7 None</div><br /></svar> <svar v="JO04A081">Type of heating which is one of the following sources:<br />[] 1 Central heating: uses liquids as a medium for heat<br />[] 2 Gas or heating apparatuses such as green houses that work by burning solar or gas<br />[] 3 Electricity: heating units that work by heating wires<br />[] 4 Gas: heating units the work by burning gas from tanks<br />[] 5 Coal or firewood<br />[] 6 Other<br />[] 7 Does not exist<br /></svar></p> <p><svar v="JO04A081" a="all">Question 120 - type of heating:<br />The enumerator writes the code of the response that applies in the corresponding place.<br /></svar> Jordan 2004: Not hotel or public housing units [discrepancies: none] This variable indicates the type of heating used in the dwelling. 1 Central heating 2 Kerosene / diesel heater 3 Electricity 4 Gas Heater 5 Coal / wood 6 Other 7 None 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Main source of drinking water <svar v="JO04A082" a="all">121. Main source of drinking water<br /><div class="i1">[Question 121 was asked of persons who lived in occupied private or collective household, per Question 116.]<br />[] 1 Public network<br />[] 2 Public tap<br />[] 3 Tanker<br />[] 4 Well / rain water<br />[] 5 Bottled water<br />[] 6 Artesian well<br />[] 7 Spring<br />[] 8 Other (specify) ____</div><br /></svar> <svar v="JO04A082">Main source of drinking water which is one of the following sources:<br />[] 1 Public grid: it is required that there will be a faucet or more inside or outside the housing unit that is connected to the public grid.<br />[] 2 Public faucet: a faucet that is connected to the public grid of water, but it is located outside the housing unit. It is used by more than one household and serves many housing units.<br />[] 3 Tank: mobile water tanks<br />[] 4 Well/rain water<br />[] 5 Mineral water/purified: bottled water.<br />[] 6 Artesian well: ground water, where water is extracted either through pumping or by the force of the water itself. It is used without transporting it via a tank.<br />[] 7 Spring: suitable underwater<br />[] 8 Other: includes river, waterway, or pond.<br /></svar></p> <p><svar v="JO04A082" a="all">Question 121- main source of drinking water:<br />The enumerator writes the main source of drinking water. After that, he records the answer code that applies in the corresponding space. This should be done while taking into consideration question 115. To illustrate, it is not allowed that the answer is the public grid, code 1, if the type of the housing unit is hair tent/tent, etc...<br /></svar> Jordan 2004: Not hotel or public housing units [discrepancies: none] This variable indicates the main source of drinking water in the dwelling. 1 Public network 2 Public tap 3 Tanker 4 Well/rain water 5 Bottled water 6 Artestian well 7 Spring 8 Other 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Source of lighting <svar v="JO04A083" a="all">122. Source of Lighting<br /><div class="i1">[Question 122 was asked of persons who lived in occupied private or collective household, per Question 116.]<br />[] 1 Public network<br />[] 2 Private generator<br />[] 3 Gas<br />[] 4 Kerosene<br />[] 5 Other (specify) ____</div><br /></svar> <svar v="JO04A083">Source of lighting which is one of the following<br />[] 1 Public grid: the housing unit is connected to the public grid of electricity.<br />[] 2 Private generator: It is a generator designed to produce electricity for one or several housing units.<br />[] 3 Gas: It is lamps for lighting using small and big cans of gas.<br />[] 4 Kerosene: light bulbs that use kerosene<br />[] 5 Other: Includes other than what was mentioned such as candles, batteries and other than that.<br /></svar></p> <p><svar v="JO04A083" a="all">Question 122 - lighting source:<br />The source of lighting is written. After that, the enumerator records the code of the source of lighting that applies in the corresponding space. This takes into consideration the type of the housing unit listed in question 115. For example, it is not possible that the answer for the question is connected to the public electric grid if the type of the housing unit is hair tent/tent, etc...<br /></svar> Jordan 2004: Not hotel or public housing units [discrepancies: none] This variable indicates the source of lighting in the dwelling. 1 Public network 2 Private generator 3 Gas 4 Kerosene 5 Other 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Housing unit area in square meters <svar v="JO04A084" a="all">123. Housing unit area (in square meters) _ _ _<br />[Question 123 was asked of persons who lived in occupied private or collective household, per Question 116.]<br /></svar> <svar v="JO04A084">The area of the housing unit:<br />It refers to the area where the housing unit is erected in square meters and does not include the ground or air around the building.<br /></svar></p> <p><svar v="JO04A084" a="all">Question 123 - the area of the housing unit is square meters:<br />This question is about the entire area of the housing unit. This means to the standing building with its ceiling and what it comprises. The area does not include the garden surrounding the housing unit or the non-built ground around it. The area is recorded in the reserved place using square meters. If the area of the housing unit is 125, the enumerator records the number 125. The enumerator has to consider that some housing units could consist of two floors or more. In this case, the enumerator should add the area of the floors and records the total area in the reserved field in three cells. If the area of the housing unit is 999 meters and more, number 997 is recorded.<br /></svar> Jordan 2004: Private households [discrepancies: none] This variable indicates the housing unit area, in square meters. JO04A084 is a 3-digit numeric variable. Codes998 = Unknown. 999 = NIU. Dwelling Characteristics Variables -- HOUSEHOLD Type of sewage system <svar v="JO04A085" a="all">124. Type of sewage system<br /><div class="i1">[Question 124 was asked of persons who lived in occupied private or collective household, per Question 116.]<br />[] 1 Public network<br />[] 2 Cess pool<br />[] 3 Other (specify) ____<br />[] 4 None</div><br /></svar> <svar v="JO04A085">Type of sewage system, and it could be:<br />[] 1 Public sewers if the house is connected to the public sewage system<br />[] 2 Absorbing hole<br />[] 3 Other<br />[] 4 Does not exist<br /></svar></p> <p><svar v="JO04A085" a="all">Question 124 - type of sewage system:<br />The type of sewage system is written. Then, the enumerator records the answer code that applies in the reserved space. He should consider the type housing unit listed in question 115. For example, the answer cannot be connected to the public sewage system if the type of building or housing unit is hair ten or barrack, and so forth.<br /></svar> Jordan 2004: Not hotel or public housing units [discrepancies: none] This variable indicates the type of sewage system in the dwelling. 1 Public network 2 Cess pool 3 Other 4 None 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Availability of toilet in the housing unit <svar v="JO04A086" a="all">125. Availability of toilet in the housing unit<br /><div class="i1">[Question 125 was asked of persons who lived in occupied private or collective household, per Question 116.]<br />[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v="JO04A086" a="all">Question 125 - the availability of a toilet in the housing unit:<br />The enumerator asks about the presence of a toilet in the housing unit. The code of the answer that applies is written in the reserved area. The enumerator should consider that the question is about the type of toilet regardless of whether it is Arab or European or it is inside or outside the building.<br /></svar> Jordan 2004: Not hotel or public housing units [discrepancies: none] This variable indicates the availability of toilet in the housing unit. 1 Yes 2 No 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Availability of independent kitchen in the housing unit <svar v="JO04A087" a="all">126. Availability of independent kitchen in the housing unit<br /><div class="i1">[Question 126 was asked of persons who lived in occupied private or collective household, per Question 116.]<br />[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v="JO04A087" a="all">Question 126 - the availability of an independent kitchen in the housing unit:<br />The enumerator asks the residents in the housing unit whether they have an independent kitchen in the housing unit; i.e. (a placed reserved independently for the kitchen). The enumerator writes the code of the answer that applies in the corresponding place.<br /></svar> Jordan 2004: Not hotel, tent and public housing units [discrepancies: none] This variable indicates the availability of independent kitchen in the housing unit. 1 Yes 2 No 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Total number of rooms in the housing unit <svar v="JO04A088 JO04A089" a="all"><span class="em">Total No. of rooms in the housing unit</span><br />[Questions 127 and 128 were asked of persons who lived in occupied private or collective household, per Question 116.]<br />127. Total _ _<br />128. Bed rooms _<br /></svar> <svar v="JO04A088">Room<br />It is the housing unit or a part of it. It is surrounded by walls and has a ceiling. It is used for purposes of sleep, sitting, eating, or studying. The kitchen, the bathroom, the toilet, the attic, the passageway, the patio, and the internal and external balconies do not count as rooms. Similarly, Rooms that are used for work purposes are not considered rooms for residence. For example the room used for the doctor's office, or for sewing for other, or the hall, except if they are actually used for sleeping, eating, sitting, studying, or for fun. It is meant by the rooms for sleeping the rooms that are actually used for sleeping or designated for sleeping.<br /></svar></p> <p><svar v="JO04A088" a="all">Question 127 the total number of rooms in the housing unit:<br />The enumerator asks the residents in the housing unit about the total number of the rooms in the housing unit (revisit the definition of the room). He writes the number in the corresponding field. The number of the rooms cannot be under 1. For the hair tents, tents, and caves, they are classified as consisting of one room only. The answer to this question is written in two cells.<br /></svar> Jordan 2004: Not hotel or public housing units [discrepancies: none] This variable indicates the total number of rooms in the housing unit. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Total number of bedrooms in the housing unit <svar v="JO04A088 JO04A089" a="all"><span class="em">Total No. of rooms in the housing unit</span><br />[Questions 127 and 128 were asked of persons who lived in occupied private or collective household, per Question 116.]<br />127. Total _ _<br />128. Bed rooms _<br /></svar> <svar v="JO04A089" a="all">Question 128 the number of bedrooms in the housing unit:<br />The enumerator asks the residents in the housing unit about the number of rooms used for sleeping. Their numbers could be equal to the total of number of rooms or less. Its number cannot be under 1.<br /></svar> Jordan 2004: Not hotel or public housing units [discrepancies: none] This variable indicates the total number of bedrooms in the housing unit. 0 NIU (not in universe) 1 1 2 2 3 3 4 4 5 5 6 6+ 9 9 Dwelling Characteristics Variables -- HOUSEHOLD Number of households in the housing unit <svar v="JO04A090" a="all">129. Number of households in the housing unit _<br />[Question 129 was asked of persons who lived in occupied private household, occupied collective household, hotel, or public housing unit, per Question 116.]<br /></svar> <svar v="JO04A090" a="all">Question 129 - number of households in the housing unit:<br />This question is about the number of households in the housing unit (go back to the definition of household). The housing unit may be populated by one household or more. The enumerator records the number of households in the corresponding space.<br /></svar> Jordan 2004: All households This variable indicates the number of the households in the housing unit. 1 1 2 2 3 3 4 4+ 9 Unknown Other Household Variables -- HOUSEHOLD Number of persons in the housing unit <svar v="JO04A091" a="all">130. Number of persons in the housing unit _ _ _<br />[Question 130 was asked of persons who lived in occupied private household, occupied collective household, hotel, or public housing unit, per Question 116.]<br /></svar> <svar v="JO04A091" a="all">Question 130 - the number of individuals in the housing unit:<br />The question is about the number of individuals in the housing unit. The enumerator takes into consideration whether the housing unit includes more than one household (Go back to the definition of household). The number of individuals in the household is added up including the heads of the household. The total is recorded in the corresponding field.<br /></svar> Jordan 2004: All households This variable indicates the number of persons in the housing 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 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 99 Unknown Constructed Household Variables -- HOUSEHOLD First housing unit in the building <svar v="JO04A092" a="all">131. First housing unit in the building<br /><div class="i1">[] 1 Yes<br />[] 2 No (skip to next housing unit)<br />[] 3 No housing unit</div><br /></svar> <svar v="JO04A092" a="all">Question 131 - first housing unit in the building:<br />The question aims at knowing whether the housing unit under investigation is the first of housing unit in the building or not. If it is the first housing unit, revisit question 114, code 114 is recorded. In this case, the data of the building are completed on the line of the first housing unit. However, if the serial number of the housing unit in question 114 is 2 or more, code 2 is recorded. The enumerator proceeds to the following housing unit in the same building or the next building and so on. In the building there can be a commercial building, factory, or some kind of establishment, the answer to question 131 is no housing units; meaning code 3. The enumerator continues to complete data on the building 132-141 on the basis of how it applies.<br /></svar> Jordan 2004: All households This variable indicates whether it is the first housing unit in the building. 1 Yes 2 No 9 Unknown Other Household Variables -- HOUSEHOLD Type of building <svar v="JO04A093" a="all">133. Type of building<br /><div class="i1">[] 1 <span class="lang">Amara</span><br />[] 2 <span class="lang">Dar</span><br />[] 3 <span class="lang">Villa</span><br />[] 4 Barracks<br />[] 5 Hair tent / tent<br />[] 6 Establishment<br />[] 7 Under construction<br />[] 8 Other (specify) ____</div><br /></svar> <svar v="JO04A093">Type of building and it is one of the following types:<br />[] 1 Apartment building (Amarah): This building consists of one floor or more. It has an internal or external stairway that serves all the floors in the building. It could be used exclusively for residence or for various purposes such as residence and work, or residence and worship etc.<br />[] 2 House (Dar): This traditional building which consists of one room or more. These rooms could be lined in one row or scattered within a wall or courtyard. A Dar also refers to old buildings and some modern building that consist of one floor or two floors and that include an internal or external staircase that leads to the terrace.<br />[] 3 Villa: It is an independent building that is usually constructed with Cut stones. One of the wings of the building, floor one or two, is designated for sleep and the other wing or ground floor is reserved for reception, kitchen, and other various services. The villa also usually has a garden that surrounds it regardless of the area of this garden in addition to a fence that surrounds it and a garage for the car. The upper surface of the villa is mostly covered by tile.<br />[] 4 Barrack: this is an independent building that consists of one room or more. The external walls are usually made of zinc, tin, or asbestos.<br />[] 5 Hair tent/tent: it is an independent building characterized by the lack of stability. The material for construction is hair, wool, or fabric.<br />[] 6 Establishment: This building is used for work only. It could be a factory, school, governmental establishment, even if this building contains a part that is reserved for the use of the guards. The building could be a social facility that was initially established to offer shelter to a group of individuals who share similar conditions<br /><span class="pg">[Page 5]</span><br />and similar situations such as a hospital, a prison, students' housing units. The hotel and the rooms in the hotel are considers establishments and they are considered as one type of social housing that is erected for the purpose of renting rooms for residence to groups of individuals or families on a temporary basis.<br />[] 7 Under construction: It is the building that is in the process of construction or cleaning currently. This means that the construction is not complete and it cannot be used in the time of the census.<br />[] 8 Others: It includes the hut, the cave, and the gorge and things like that.<br /></svar></p> <p><svar v="JO04A093" a="all">Question 133 - type of the building:<br />The enumerator writes the type of the building. After that, he records the answer code that applies in the corresponding field. If the type of the building is "apartment building", code 1 is recorded in the corresponding space. If the type of the building is "hair tent/tent", code 5 is entered.<br /><br /><span class="pg">[Page 45]</span><br />The enumerator should pay attention to the following cases:<br /><div class="i1">1. It is possible to know the type of some buildings. They could be an apartment building, a house, or villa. However, these building are yet populated or occupied due to being under construction, finalization, or not ready for use at the time of the census. In this case, the enumerator has to determine the type of the building and record it.<br />2. Some buildings are under construction. Their type is not yet clear to the enumerator. Only the ceiling of one floor has been completed. This is regardless of the blueprints in place for the building. The future of this building could be an apartment building, villa, or any other type of buildings illustrated in this question. In this case the enumerator should enter under the code of the answer about the type of building "under construction" or code 7.<br />3. The building under construction could be a factory, a school, a commercial building. This means that the building will, in the future, be an establishment, but it is now under construction, and this condition is clear to the enumerator. In this case, the enumerator records the type of building as an establishment. The nature of its occupancy in question 135 is under construction.<br />4. It is also possible that the type of the building is an establishment. However, it is not in the process of production yet. It is possible the establishment is closed during the census for any reason. It is also possible that it empty and for rent. In this case, the type of the building is entered as establishment.<br />5. It is possible that the type of the building is under construction. However, workers who are participating in its construction reside in it. In this case, the type of the building stays under construction if the enumerator cannot determine its type. If he manages to determine its type, he records apartment building if the building is an apartment building or an establishment if it is an establishment.</div><br /></svar> Jordan 2004: All households This variable indicates the type of building. 1 Amarah 2 Dar 3 Villa 4 Barracks 5 Tent / hair tent 6 Establishment 8 Other 9 Unknown Group Quarters Variables -- HOUSEHOLD Year of laying foundation of the building <svar v="JO04A094" a="all">134. Year of laying fundaments of the building _ _ _ _<br /></svar> <svar v="JO04A094">Year of laying the foundation<br />It means the year when the main foundation for the building was laid.<br /></svar></p> <p><svar v="JO04A094" a="all">Question 134 - the year of beginning of construction (laying the foundation):<br />This question is about the year when the construction of the building began. This is the year when the foundation of the building, or a part of it, was laid. The question is not about the year or the years when there were other additions to the building. For example, if the construction began by the building that consists of three rooms and their annexes in the year 1962. Then another floor was added in year 1975. In this case, the year of construction of the building is 1962 and not 1975. The enumerator in this case enters the year of construction in the corresponding field in the question. The entry fills four cells as follows 1962. In the case the year of the construction of the building is not known, the enumerator should write the phrase "not known" in the corresponding field.<br />With respect to marginal buildings (barracks, tents and hair tents, caves, caravans), they don't have a year of construction because they are marginal buildings. In this case, the enumerator put the sign (-). For industrial buildings (hangars and pre-fabricated buildings) used for purposes of industry or commerce, they should have year of construction.<br /></svar> Jordan 2004: All households This variable indicates the year of laying fundaments of the building. 1920 1920 or earlier 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 9999 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Type of occupancy <svar v="JO04A095" a="all">135. Type of occupancy<br /><div class="i1">[] 1 Residential only<br />[] 2 Business only<br />[] 3 Worship<br />[] 4 Recreation / culture<br />[] 5 Multi-purpose<br />[] 6 Closed<br />[] 7 Vacant<br />[] 8 Under construction</div><br /></svar> <svar v="JO04A095">Nature of the occupancy of the building, and it is one of the following cases<br />[] 1 For residence only<br />[] 2 For work only<br />[] 3 For worship<br />[] 4 For entertainment/culture<br />[] 5 Polyvalent<br />[] 6 Closed (i.e., the building is neither useful to be residential or for work)<br />[] 7 Empty<br />[] 8 Under construction<br /></svar></p> <p><svar v="JO04A095" a="all">Question 135 - nature of the occupancy of the building:<br />This question is about the nature of occupancy of the building; in other words whether the building specializes for "residence only". The enumerator writes the code of the answer, 1, in the appropriate field. The building could be for "work only" or "worship only", or it could be for different purposes (residence and work, residence and worship, or work or worship...). This means that the building is multipurpose. The enumerator in this case<br /><br /><span class="pg">[Page 46]</span><br />Records code 5 in the corresponding field. What was mentioned earlier is about occupied and busy buildings. For the non-occupied buildings, or not used regardless of its type, the enumerator records the code of the answer that applies. It is possible that the building is closed. For example, the building is occupied but the occupants are absent at the time of the census. It is also possible that the building is empty. In other words, it is not occupied either because it is for rent, or its occupants are in emigrants to another country. With respect, to the nature of the occupancy of the building "under construction", this means that the building is under construction and not complete nor ready for residence or use at the time of census regardless of whether it was possible to know its type or not.<br />It should be noted that some building could have a part or parts that are populated while other parts are closed or empty, or under construction. In this case, the description of the building is "for residence only". The enumerator cannot describe the building as multipurpose. It is also possible that the type of the building is "apartment building" or house of which the construction is complete, but it is still being cleaned. It is also known that this building will become a mosque for example, and that it will be used for worship. However, regardless of the fact that the nature of future occupancy of the building is known, the enumerator has to enter the answer code "under construction" because this building is still under construction like the villa being cleaned currently and it is known that it will be occupied in the future. However, since it is currently under construction, the code that corresponds to the nature of its occupancy at the time of the census, rather than its future use, is the one that is written.<br />However, if the type of the building in the question 133 is "under construction", the enumerator has to characterize the building occupancy as "under construction".<br />With respect to the furnished building which are for rent and which are unpopulated at the time of the census of the housing units, the nature of their occupancy is considered as empty just like the other non furnished buildings that put out for rent and of which the occupancy characteristic is empty as well.<br /></svar> Jordan 2004: All households This variable indicates the type of occupancy in the building. 1 Residential only 2 Business only 5 Multipurpose 9 Unknown Other Household Variables -- HOUSEHOLD Dominant material of outside walls of the building <svar v="JO04A096" a="all">136. Type of dominant materials of outside walls of the building<br /><div class="i1">[] 1 Cut stone<br />[] 2 Cut stone and concrete<br />[] 3 Concrete<br />[] 4 Cement bricks<br />[] 5 Mud bricks and stone<br />[] 6 Asbestos, wood zinc<br />[] 7 Hair, wool, cloth<br />[] 8 Other (specify) ____</div><br /></svar> <svar v="JO04A096">Dominant construction material for external walls. It is one of the following materials:<br />[] 1 Cut Stones: It is required that there will be three facades of the cut stones at least.<br />[] 2 Cut stone and reinforced concrete: It is required that there is one or two sides of stone and the rest is concrete.<br />[] 3 Reinforced concrete<br />[] 4 Cement bricks<br />[] 5 Mud bricks, mud and stones<br />[] 6 Asbestos, zinc, wood<br />[] 7 Hair, wool, and fabric.<br />[] 8 Others<br /></svar></p> <p><svar v="JO04A096" a="all">Question 136 - type of the construction material that is dominant in the external walls:<br />This question concerns the dominant building material used for building the external walls of the building. This is considered as an approximating indicator of the expected age of the building. The enumerator should, therefore, be very accurate in filling out the data of this question. The type of the construction material is:<br /><div class="i1">- Cut stone: if three facades or more of the building are built with cut stone.<br />- Stone and concrete: if one or two facades of the building are built with cut stone.<br />- Concrete: If the external walls of the building are built with concrete or what is referred to as "dakka".<br />- Cement brick: If the external walls of the building is built with "cement brick." In this case, the building could have cement pillars that are reinforced with iron (i.e., what is called wax). This type is considered however cement brick.<br />- Mud bricks, mud, and stone: this type is prevalent in old buildings where external walls are built by mud, meaning dirt, or mud with stone, what is called "dabsh". Mostly, these buildings consist of one floor or two at most. Their ceiling is composed of mud even if, in sometimes, the ceiling consists of concrete.</div><br /><br /><span class="pg">[Page 47]</span><br /><div class="i1">- Asbestos, wood, zinc: These materials are mostly used in marginal buildings such as pre-fabricated buildings or barracks. The external walls are made of asbestos, wood, or zinc. Sometimes, the enumerator could find that the material of the external walls of the building is cut stone whereas other floors in the building or a part of it have walls that are built with other materials. In this case, the material that is dominant in the walls of the building is the one that is considered.<br />- Hair, wool, fabric: These building materials are prevalent in marginal mobile buildings such as hair tents and tents.<br />- With respect to the buildings that the type of which in question 133 is under construction, and the nature of its occupancy in question 135 is under construction, meaning the nature of the material used in the walls is not known yet, no response is written for this question. The symbol (-) is put in this case.<br />- With regard to other buildings of which the nature of occupancy in question 135 is "under construction", it is possible for the enumerator to know the nature of building materials used for the external walls. If he cannot identify the building materials, he writes the answer "not known".</div><br /></svar> Jordan 2004: All households This variable indicates the type of dominant materials used for outside walls of the building. 1 Cut stone 2 Cut stone and concrete 3 Concrete 4 Cement bricks 5 Mud bricks and rubble 6 Asbestos, zink, wood 7 Hair, wool, cloth 8 Other 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Number of floors <svar v="JO04A097" a="all">137. Number of floors _ _<br /></svar> <svar v="JO04A097" a="all">Question 137 - the number of floors in the building:<br />This question concerns the number of floors in the building. This includes the basement as it is considered a one of the floors of the building. The room used for residence on the roof is considered a floor as well. It is not expected that the number of floors in a villa exceeds four floors. For the house it is two floors. With regard to the cave, hut, hair tent, caravan, tent, they all consist of one floor. The number of the floors is recorded as one floor.<br />For all cases, the enumerator records the number of floors in the corresponding field. It is preferable that the recording stage occurs after the enumerator finishes inputting data on all the housing units of the building. This makes it easy for him to determine the number of floors.<br /></svar> Jordan 2004: All households This variable indicates the number of floors in the building. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9+ 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Availability of elevator <svar v="JO04A098" a="all">138. Availability of elevator<br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v="JO04A098" a="all">Question 138 - the presence of the elevator:<br />This question is about the presence of an elevator in the building regardless of whether the elevator reaches all the floors or not. The enumerator enters code 1 if the elevator is available, code 2 if there is no elevator. The codes should be entered in the corresponding field.<br /></svar> Jordan 2004: All households This variable indicates the availability of elevator in the building. 1 With elevator 2 Without elevator 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Number of housing units in the building <svar v="JO04A099" a="all">139. Number of housing units in the building _ _<br /></svar> <svar v="JO04A099" a="all">Question 139 - number of housing units in the building:<br />This question concerns the number of housing units in the building. The enumerator should look at the answer to question 114 concerning the number of the housing unit in the building. The number of the last the housing unit in the building refers directly to the total of housing units in the building. The enumerator should input it in question 139.<br /></svar> Jordan 2004: All households This variable indicates the number of housing units in the building. 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+ 99 Unknown Other Household Variables -- HOUSEHOLD Number of households in the building <svar v="JO04A100" a="all">140. Number of households in the building _ _<br /></svar> <svar v="JO04A100" a="all">Question 140 - number of households in the building:<br />This question concerns the number of households in the building. The enumerator should make use of question number 116. This question is about the type of occupancy of the housing unit. Codes 1, 2, 3, and 4 in question 116 refer to household.<br /></svar> Jordan 2004: All households This variable indicates the number of households in the building. 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+ 99 Unknown Other Household Variables -- HOUSEHOLD Number of persons in the building <svar v="JO04A101" a="all">141. Number of persons in the building _ _ _<br /></svar> <svar v="JO04A101" a="all">Question 141 - number of individuals in the building:<br />The enumerator gathers the number of individuals in question number 130 for all the housing units in the building. Then, the total of the addition is input in the corresponding field.<br /></svar> Jordan 2004: All households This variable indicates the number of persons in the building. 001 1 002 2 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70+ 999 Unknown Other Household Variables -- HOUSEHOLD Strata Jordan 2004: All households This variable is the strata identifier for the sample. Strata is a constructed variable that captures implicit geographic stratification resulting from the sample design. It is created by assigning a unique identifier to groups of between 10 and 19 adjacent households. Additional documentation is available on the Variance Estimation page. This is a 4-digit numeric variable with 0 implied decimal places Geography: F-N Variables -- HOUSEHOLD Person number PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database. PERNUM is a 4-digit numeric variable. Technical Person Variables -- PERSON Person weight PERWT indicates the number of persons in the actual population represented by the person in the sample. For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population. NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Person Variables -- PERSON Mother's location in household MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers. The method by which probable child-mother links are identified is described in PARRULE. The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of MOMLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships. To restrict MOMLOC to biological mothers, such as for own children fertility estimation, MOMLOC should be reset to zero when STEPMOM is greater than zero. MOMLOC is a 3-digit numeric variable. Codes0 = No mother of this person present in the household. 1 or higher = The person number of this person's mother Constructed Family Interrelationship Variables -- PERSON Father's location in household POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers. The method by which probable child-father links are identified is described in PARRULE. The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of POPLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships. To restrict POPLOC to biological mothers, such as for own children fertility estimation, POPLOC should be reset to zero when STEPPOP is greater than zero. POPLOC is a 3-digit numeric variable. Codes0 = No father of this person present in the household. 1 or higher = The person number of this person's father Constructed Family Interrelationship Variables -- PERSON Spouse's location in household SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses. The method by which probable spouse-spouse links are identified is described in SPRULE. The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. For more details on the construction of SPLOC, see the Comparability section of SPRULE and this paper on IPUMSI family linking methodology. SPLOC is a 3-digit numeric variable. Codes0 = No spouse of this person present in the household. 1 or higher = The person number of this person's spouse Constructed Family Interrelationship Variables -- PERSON Rule for linking parent PARRULE describes the criteria by which the IPUMS International variables MOMLOC and POPLOC linked the person to a probable mother and/or father. IPUMS International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. 00 No parent of person in household 11 Link to head or spouse, unambiguous 12 Link to head or spouse, ambiguous 21 Child-Grandchild, within empirical child cap 22 Child-Grandchild, within constructed child cap 23 Child-Grandchild, exceeds child cap 31 Specified Other Relatives, within empirical child cap 32 Specified Other Relatives, within constructed child cap 33 Specified Other Relatives, exceeds child cap 41 Other Relatives, within empirical child cap 42 Other Relatives, within constructed child cap 51 Non-Relatives, within empirical child cap 52 Non-Relatives, within constructed child cap Constructed Family Interrelationship Variables -- PERSON Rule for linking spouse SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse. IPUMS International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. 00 No spouse present 01 Rule 1: strong relationship pairing, couple adjacent 02 Rule 2: strong relationship pairing, couple not adjacent 03 Rule 3: weak relationship pairing, couple adjacent 04 Rule 4: weak relationship pairing, couple not adjacent 05 Rule 5: weak consensual union pairings 06 Rule 6: sample-specific rules (usually child-to-child) Constructed Family Interrelationship Variables -- PERSON Probable stepmother STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household. The codes for STEPMOM are as follows: 0 = Biological mother or no mother of this person present in household. 1 = Mother has no children born or surviving. 2 = Child reports mother is deceased. 3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law). 4 = Mother reports no children in the home. 5 = Age difference between mother and child was less than 12 or greater than 54 years. 6 = Child exceeds known fertility of mother. In cases where more than one criterion for a likely stepmother is met, STEPMOM will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. In cases where a mother is linked to more children than she reports in CHBORN or CHSURV, the determination of which children to flag as probable stepchildren is based first on the strength of the child-mother pairing (see PARRULE), and then on the order of children in the household roster. Since most links to a given mother will be made at the same strength level, order will often be the decisive factor in flagging probable stepmother relationships. Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population. 0 Biological mother or no mother present 1 Mother has no children born or surviving 2 Child reports mother is deceased 3 Explicitly identified step relationship 4 Mother reports no children in the home 5 Age difference implausible 6 Child exceeds known fertility of mother Constructed Family Interrelationship Variables -- PERSON Probable stepfather STEPPOP indicates whether a person's father, as identified by POPLOC, was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household. The codes for STEPPOP are as follows: 0 = Biological father or no father of this person present in household. 1 = Child reports father is deceased. 2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law). 3 = Age difference between father and child was less than 12 or greater than 54 years. In cases where more than one criterion for a likely stepfather is met, STEPPOP will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population. 0 Biological father or no father present 1 Child reports father is deceased 2 Explicitly identified step relationship 3 Age difference implausible 4 Spouse of mother 5 Identified as adopted 6 Surname difference -- male child or never-married female Constructed Family Interrelationship Variables -- PERSON Man with more than one wife linked POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. 0 No more than one wife linked via SPLOC 1 More than one wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Woman is second or higher order wife POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated. The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. 0 Person is not the 2nd or higher order wife linked via SPLOC 1 Person is the 2nd or higher order wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Family unit membership FAMUNIT is a constructed variable indicating to which family within the household a person belongs. All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). FAMUNIT is a 4-digit numeric variable. CodesIf there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on. Constructed Family Interrelationship Variables -- PERSON Number of own family members in household FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them. FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membership). The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). 0001 1 family member present 0002 2 family members present 0003 3 family members present 0004 4 0005 5 0006 6 0007 7 0008 8 0009 9 0010 10 0011 11 0012 12 0013 13 0014 14 0015 15 0016 16 0017 17 0018 18 0019 19 0020 20 0021 21 0022 22 0023 23 0024 24 0025 25 0026 26 0027 27 0028 28 0029 29 0030 30 0031 31 0032 32 0033 33 0034 34 0035 35 0036 36 0037 37 0038 38 0039 39 0040 40 0041 41 0042 42 0043 43 0044 44 0045 45 0046 46 0047 47 0048 48 0049 49 0050 50 0051 51 0052 52 0053 53 0054 54 0055 55 0056 56 0057 57 0058 58 0059 59 0060 60 0061 61 0062 62 0063 63 0064 64 0065 65 0066 66 0067 67 0068 68 0069 69 0070 70 0071 71 0072 72 0073 73 0074 74 0075 75 0076 76 0077 77 0078 78 0079 79 0080 80 0081 81 0082 82 0083 83 0084 84 0085 85 0086 86 0087 87 0088 88 0089 89 0090 90 0091 91 0092 92 0093 93 0094 94 0095 95 0096 96 0097 97 0098 98 0099 99 or more persons Constructed Family Interrelationship Variables -- PERSON Number of own children in household NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more children in household Constructed Family Interrelationship Variables -- PERSON Number of own children under age 5 in household NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more own children under age 5 in household 98 One or more children have unknown age Constructed Family Interrelationship Variables -- PERSON Age of eldest own child in household ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. ELDCH is top-coded at age 50 or older. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Age of youngest own child in household YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. YNGCH is top-coded at age 50 or older. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Relationship to household head [general version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown Demographic Variables -- PERSON Relationship to household head [detailed version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1000 Head 2000 Spouse/partner 2100 Spouse 2200 Unmarried partner 2210 Civil union 2300 Same-sex spouse/partner 3000 Child 3100 Biological child 3200 Adopted child 3300 Stepchild 3400 Child/child-in-law 3500 Child/child-in-law/grandchild 3600 Child of unmarried partner 4000 Other relative 4100 Grandchild 4110 Grandchild or great grandchild 4120 Great grandchild 4130 Great-great grandchild 4200 Parent/parent-in-law 4210 Parent 4211 Stepparent 4220 Parent-in-law 4300 Child-in-law 4301 Daughter-in-law 4302 Spouse/partner of child 4310 Unmarried partner of child 4400 Sibling/sibling-in-law 4410 Sibling 4420 Stepsibling 4430 Sibling-in-law 4431 Sibling of spouse/partner 4432 Spouse/partner of sibling 4500 Grandparent 4510 Great grandparent 4600 Parent/grandparent/ascendant 4700 Aunt/uncle 4800 Other specified relative 4810 Nephew/niece 4820 Cousin 4830 Sibling's sibling-in-law 4900 Other relative, not elsewhere classified 4910 Other relative with same family name 4920 Other relative with different family name 4930 Other relative, not specified (secondary family) 5000 Non-relative 5100 Friend/guest/visitor/partner 5110 Partner/friend 5111 Friend 5112 Partner/roommate 5113 Housemate/roommate 5120 Visitor 5130 Ex-spouse 5140 Godparent 5150 Godchild 5200 Employee 5210 Domestic employee 5220 Relative of employee, n.s. 5221 Spouse of servant 5222 Child of servant 5223 Other relative of servant 5300 Roomer/boarder/lodger/foster child 5310 Boarder 5311 Boarder or guest 5320 Lodger 5330 Foster child 5340 Tutored/foster child 5350 Tutored child 5400 Employee, boarder, or guest 5500 Other specified non-relative 5510 Agregado 5520 Temporary resident, guest 5600 Group quarters 5610 Group quarters, non-inmates 5620 Institutional inmates 5900 Non-relative, n.e.c. 6000 Other relative or non-relative 9999 Unknown Demographic Variables -- PERSON 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 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 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2017 2017 2018 2018 2019 2019 2020 2020 9999 Unknown Demographic Variables -- PERSON Month of birth BIRTHMO indicates the person's month of birth. 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 98 Unknown 99 NIU (not in universe) 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 Year of immigration YRIMM indicates the calendar year that a foreign-born person came to live in the country in which they were enumerated. 0000 NIU (not in universe) 1790 1790 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 9998 In transit 9999 Unknown Nativity and Birthplace Variables -- PERSON Years since immigrated YRSIMM indicates the number of years since a foreign-born person immigrated to their country of enumeration. 00 0 (within previous year) 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 96 96 97 97+ 98 Unknown 99 NIU (not in universe) Nativity and Birthplace Variables -- PERSON School attendance SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census. 0 NIU (not in universe) 1 Yes 2 No, not specified 3 No, attended in the past 4 No, never attended 9 Unknown/missing Education Variables -- PERSON Literacy LIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both. 0 NIU (not in universe) 1 No, illiterate 2 Yes, literate 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, Jordan EDUCJO indicates the person's educational attainment in Jordan in terms of the level of schooling completed. 00 NIU (not in universe) 11 Less than primary, illiterate 12 Less than primary, literate 20 Some primary (grades 1-5) 21 Primary (grades 1-6 completed) 22 Preparatory (grades 7-9 completed) 23 Basic education (grade 10 completed) 30 Secondary, unspecified track 31 Vocational secondary 32 Academic secondary 41 Intermediate diploma 42 Bachelor's 43 Higher diploma 44 Master's 45 Ph.D. 99 Unknown 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 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 Occupation, ISCO-1988, 3-digit ISCO88A provides the 3-digit occupation code for the respondent using the ISCO-1988 occupation classification. 010 Armed forces 111 Legislators 112 Senior government officials 113 Traditional chiefs and heads of villages 114 Senior officials of special-interest organizations 121 Directors and chief executives 122 Production and operations department managers 123 Other department managers 131 General managers 199 Legislators, senior officials and managers not elsewhere classified 211 Physicists, chemists and related professionals 212 Mathematicians, statisticians and related professionals 213 Computing professionals 214 Architects, engineers and related professionals 221 Life science professionals 222 Health professionals (except nursing) 223 Nursing and midwifery professionals 231 College, university and higher education teaching professionals 232 Secondary education teaching professionals 233 Primary and pre-primary education teaching professionals 234 Special education teaching professionals 235 Other teaching professionals 241 Business professionals 242 Legal professionals 243 Archivists, librarians and related information professionals 244 Social science and related professionals 245 Writers and creative or performing artists 246 Religious professionals 299 Professionals no elsewhere classified 311 Physical and engineering science technicians 312 Computer associate professionals 313 Optical and electronic equipment operators 314 Ship and aircraft controllers and technicians 315 Safety and quality inspectors 321 Life science technicians and related associate professionals 322 Modern health associate professionals (except nursing) 323 Nursing and midwifery associate professionals 324 Traditional medicine practitioners and faith healers 331 Primary education teaching associate professionals 332 Pre-primary education teaching associate professionals 333 Special education teaching associate professionals 334 Other teaching associate professionals 341 Finance and sales associate professionals 342 Business services agents and trade brokers 343 Administrative associate professionals 344 Customs, tax and related government associate professionals 345 Police inspectors and detectives 346 Social work associate professionals 347 Artistic, entertainment and sports associate professionals 348 Religious associate professionals 399 Technicians and associate professionals not elsewhere classified 411 Secretaries and keyboard-operating clerks 412 Numerical clerks 413 Material-recording and transport clerks 414 Library, mail and related clerks 419 Other office clerks 421 Cashiers, tellers and related clerks 422 Client information clerks 499 Clerks not elsewhere classified 511 Travel attendants and related workers 512 Housekeeping and restaurant services workers 513 Personal care and related workers 514 Other personal services workers 515 Astrologers, fortune-tellers and related workers 516 Protective services workers 521 Fashion and other models 522 Shop salespersons and demonstrators 523 Stall and market salespersons 599 Service workers and shop and market sales workers not elsewhere classified 611 Market gardeners and crop growers 612 Market-oriented animal producers and related workers 613 Market-oriented crop and animal producers 614 Forestry and related workers 615 Fishery workers, hunters and trappers 621 Subsistence agricultural and fishery workers 699 Skilled agricultural and fishery workers not elsewhere classified 711 Miners, shotfirers, stone cutters and carvers 712 Building frame and related trades workers 713 Building finishers and related trades workers 714 Painters, building structure cleaners and related trades workers 721 Metal moulders, welders, sheet-metal workers, structural- metal preparers, and related trades workers 722 Blacksmiths, tool-makers and related trades workers 723 Machinery mechanics and fitters 724 Electrical and electronic equipment mechanics and fitters 731 Precision workers in metal and related materials 732 Potters, glass-makers and related trades workers 733 Handicraft workers in wood, textile, leather and related materials 734 Printing and related trades workers 741 Food processing and related trades workers 742 Wood treaters, cabinet-makers and related trades workers 743 Textile, garment and related trades workers 744 Pelt, leather and shoemaking trades workers 799 Craft and related trade workers not elsewhere classified 811 Mining- and mineral-processing-plant operators 812 Metal-processing-plant operators 813 Glass, ceramics and related plant operators 814 Wood-processing- and papermaking-plant operators 815 Chemical-processing-plant operators 816 Power-production and related plant operators 817 Automated-assembly-line and industrial-robot operators 821 Metal- and mineral-products machine operators 822 Chemical-products machine operators 823 Rubber- and plastic-products machine operators 824 Wood-products machine operators 825 Printing-, binding- and paper-products machine operators 826 Textile-, fur- and leather-products machine operators 827 Food and related products machine operators 828 Assemblers 829 Other machine operators and assemblers 831 Locomotive-engine drivers and related workers 832 Motor-vehicle drivers 833 Agricultural and other mobile-plant operators 834 Ships' deck crews and related workers 899 Other plant and machine operaters and assemblers not elsewhere classified 911 Street vendors and related workers 912 Shoe cleaning and other street services elementary occupations 913 Domestic and related helpers, cleaners and launderers 914 Building caretakers, window and related cleaners 915 Messengers, porters, doorkeepers and related workers 916 Garbage collectors and related labourers 921 Agricultural, fishery and related labourers 931 Mining and construction labourers 932 Manufacturing labourers 933 Transport labourers and freight handlers 989 Elementary occupations not elsewhere classified 990 Other workers, not elsewhere classified 998 Unknown 999 NIU (not in universe) 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 Sector of employment EMPSECT indicates the economic sector in which the person was employed. Economic sector is defined in terms of ownership or control of the enterprise in which the person worked. 00 NIU (not in universe) 10 Public 20 Private 21 Private, not elsewhere classified 22 Individual/family enterprise, and self-employed 23 Foreign 30 Mixed: public-private or parastatal 40 Collective or cooperative 50 Foreign government or non-governmental organization 60 Other, unspecified 61 Canal zone 62 Faith-based organization 63 Informal sector 99 Unknown Work Variables -- PERSON Hours worked per week HRSWORK1 indicates the number of hours the respondent worked per week at all jobs. 000 0 hours 001 1 hour 002 2 hours 003 3 hours 004 4 hours 005 5 hours 006 6 hours 007 7 hours 008 8 hours 009 9 hours 010 10 hours 011 11 hours 012 12 hours 013 13 hours 014 14 hours 015 15 hours 016 16 hours 017 17 hours 018 18 hours 019 19 hours 020 20 hours 021 21 hours 022 22 hours 023 23 hours 024 24 hours 025 25 hours 026 26 hours 027 27 hours 028 28 hours 029 29 hours 030 30 hours 031 31 hours 032 32 hours 033 33 hours 034 34 hours 035 35 hours 036 36 hours 037 37 hours 038 38 hours 039 39 hours 040 40 hours 041 41 hours 042 42 hours 043 43 hours 044 44 hours 045 45 hours 046 46 hours 047 47 hours 048 48 hours 049 49 hours 050 50 hours 051 51 hours 052 52 hours 053 53 hours 054 54 hours 055 55 hours 056 56 hours 057 57 hours 058 58 hours 059 59 hours 060 60 hours 061 61 hours 062 62 hours 063 63 hours 064 64 hours 065 65 hours 066 66 hours 067 67 hours 068 68 hours 069 69 hours 070 70 hours 071 71 hours 072 72 hours 073 73 hours 074 74 hours 075 75 hours 076 76 hours 077 77 hours 078 78 hours 079 79 hours 080 80 hours 081 81 hours 082 82 hours 083 83 hours 084 84 hours 085 85 hours 086 86 hours 087 87 hours 088 88 hours 089 89 hours 090 90 hours 091 91 hours 092 92 hours 093 93 hours 094 94 hours 095 95 hours 096 96 hours 097 97 hours 098 98 hours 099 99 hours 100 100 hours 101 101 hours 102 102 hours 103 103 hours 104 104 hours 105 105 hours 106 106 hours 107 107 hours 108 108 hours 109 109 hours 110 110 hours 111 111 hours 112 112 hours 113 113 hours 114 114 hours 115 115 hours 116 116 hours 117 117 hours 118 118 hours 119 119 hours 120 120 hours 121 121 hours 122 122 hours 123 123 hours 124 124 hours 125 125 hours 126 126 hours 127 127 hours 128 128 hours 129 129 hours 130 130 hours 131 131 hours 132 132 hours 133 133 hours 134 134 hours 135 135 hours 136 136 hours 137 137 hours 138 138 hours 139 139 hours 140 140+ hours 998 Unknown 999 NIU (not in universe) Work Variables -- PERSON Hours worked per week, categorized HRSWORK2 indicates the number of hours the respondent worked per week at all jobs, categorized into intervals. 0 None 1 1 to 14 hours (except tt1980, tt1990 and tt2000) 2 15 to 29 hours (except de1970, ps2017, tt1980, tt1990, tt2000, and ve1971) 3 30 to 39 hours (except de1970, ps2017, tt1980, tt1990, tt2000, and ve1971) 4 40-48 hours (except il1972, tt1980, tt1990, and tt2000) 5 49 hours or more (except il1972 and tt2000) 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Actual hours worked per week HRSACTUAL1 indicates the actual number of hours the respondent worked per week at all jobs. 000 0 hours 001 1 hour 002 2 hours 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100 101 101 102 102 103 103 104 104 105 105 106 106 107 107 108 108 109 109 110 110 111 111 112 112 113 113 114 114 115 115 116 116 117 117 118 118 119 119 120 120 121 121 122 122 123 123 124 124 125 125 126 126 127 127 128 128 129 129 130 130 131 131 132 132 133 133 134 134 135 135 136 136 137 137 138 138 139 139 140 140+ hours 998 Unknown 999 NIU (not in universe) Work Variables -- PERSON Actual hours worked per week, categorized HRSACTUAL2 indicates the actual number of hours the respondent worked per week at all jobs, categorized into intervals. 0 None 1 1 to 14 hours (except tt1980, tt1990, and tt2000) 2 15 to 29 hours (except ps2017, tt1980, tt1990, tt2000, and ve1971) 3 30 to 39 hours (except ps2017, tt1980, tt1990, tt2000, and ve1971) 4 40 to 48 hours (except tt1980, tt1990, and tt2000) 5 49 hours or more (except tt2000) 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Available to work WRKAVAIL indicates whether a person is available to work (readiness) within a short period of time. 1 Yes 2 No 8 Unknown 9 NIU (Not in universe) Work Variables -- PERSON 1st subnational geographic level of previous residence, world [consistent boundaries over time] GEOMIG1_P indicates the major administrative unit in which the person previously resided prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of previous residence, to enable comparative analysis of subnational migration. Foreign migrants are coded 097 or 997. Codes for GEOMIG1_1 match the geographic codes in GEOLEV1 (current place of residence). For similar information for different time intervals since migration, see variables GEOMIG1_1, GEOMIG1_5, and GEOMIG1_10. More on migration and geography can be found here. 051901 Yerevan [Province: Armenia] 051902 Aragatsotn [Province: Armenia] 051903 Ararat [Province: Armenia] 051904 Armavir [Province: Armenia] 051905 Gegharkunik [Province: Armenia] 051906 Lori [Province: Armenia] 051907 Kotayk [Province: Armenia] 051908 Shirak [Province: Armenia] 051909 Syunik [Province: Armenia] 051910 Vayots Dzor [Province: Armenia] 051911 Tavush [Province: Armenia] 051912 Nagorno-Karabagh [Province: Armenia] 051997 Foreign country [Province: Armenia] 051998 Unknown [Province: Armenia] 051999 NIU (not in universe) [Province: Armenia] 112001 Brest [Region: Belarus] 112002 Vitebsk [Region: Belarus] 112003 Gomel [Region: Belarus] 112004 Grodno [Region: Belarus] 112006 Minsk, Minsk City [Region: Belarus] 112007 Mogilev [Region: Belarus] 112097 Foreign country [Region: Belarus] 112098 Unknown [Region: Belarus] 112099 NIU (not in universe) [Region: Belarus] 204001 Alibori [Department: Benin] 204002 Atacora [Department: Benin] 204003 Atlantique [Department: Benin] 204004 Borgou [Department: Benin] 204005 Collines [Department: Benin] 204006 Couffo [Department: Benin] 204007 Donga [Department: Benin] 204008 Littoral [Department: Benin] 204009 Mono [Department: Benin] 204010 Oueme [Department: Benin] 204011 Plateau [Department: Benin] 204012 Zou [Department: Benin] 204097 Abroad [Department: Benin] 204098 Unknown [Department: Benin] 204099 NIU (not in universe) [Department: Benin] 076011 Rondônia [State: Brazil] 076012 Acre [State: Brazil] 076013 Amazonas [State: Brazil] 076014 Roraima [State: Brazil] 076015 Pará [State: Brazil] 076016 Amapá [State: Brazil] 076021 Maranhão [State: Brazil] 076022 Piauí [State: Brazil] 076023 Ceará [State: Brazil] 076024 Rio Grande do Norte [State: Brazil] 076025 Paraíba [State: Brazil] 076026 Pernambuco, Arquipelago de Fernando de Noronha [State: Brazil] 076027 Alagoas [State: Brazil] 076028 Sergipe [State: Brazil] 076029 Bahia [State: Brazil] 076031 Minas Gerais [State: Brazil] 076032 Espírito Santo [State: Brazil] 076033 Rio de Janeiro, Guanabara [State: Brazil] 076035 São Paulo [State: Brazil] 076036 Serra dos Aimorés [State: Brazil] 076041 Paraná [State: Brazil] 076042 Santa Catarina [State: Brazil] 076043 Rio Grande do Sul [State: Brazil] 076051 Mato Grosso do Sul, Mato Grosso [State: Brazil] 076052 Goiás, Tocantins [State: Brazil] 076053 Distrito Federal [State: Brazil] 076054 Brazil, unspecified [State: Brazil] 076097 Abroad [State: Brazil] 076098 Unknown [State: Brazil] 076099 NIU (not in universe) [State: Brazil] 116001 Banteay Meanchey [Province: Cambodia] 116002 Battambang [Province: Cambodia] 116003 Kampong Cham, Tbong Khmum [Province: Cambodia] 116004 Kampong Chhnang [Province: Cambodia] 116005 Kampong Speu [Province: Cambodia] 116006 Kampong Thom [Province: Cambodia] 116007 Kampot [Province: Cambodia] 116008 Phnom Penh, Kandal [Province: Cambodia] 116009 Koh Kong, Preah Sihanouk [Province: Cambodia] 116010 Kratie [Province: Cambodia] 116011 Mondul Kiri [Province: Cambodia] 116013 Preah Vihear [Province: Cambodia] 116014 Prey Veng [Province: Cambodia] 116015 Pursat [Province: Cambodia] 116016 Ratanak Kiri [Province: Cambodia] 116017 Siem Reap, Otdar Meanchey [Province: Cambodia] 116019 Stung Treng [Province: Cambodia] 116020 Svay Rieng [Province: Cambodia] 116021 Takeo [Province: Cambodia] 116023 Kep [Province: Cambodia] 116024 Pailin [Province: Cambodia] 116097 Foreign country [Province: Cambodia] 116098 Unknown [Province: Cambodia] 116099 NIU (not in universe) [Province: Cambodia] 120002 Centre, Sud [Province: Cameroon] 120003 Est [Province: Cameroon] 120004 Nord, Adamoua, Extrème Nord [Province: Cameroon] 120005 Littoral [Province: Cameroon] 120007 Nord Ouest [Province: Cameroon] 120008 Ouest [Province: Cameroon] 120010 Sud Ouest [Province: Cameroon] 120096 Cameroon - unknown arrondissement [Province: Cameroon] 120097 Foreign country [Province: Cameroon] 120098 Unknown [Province: Cameroon] 120099 NIU (not in universe) [Province: Cameroon] 152001 Tarapaca [Province: Chile] 152002 Antofagasta [Province: Chile] 152003 Atacama [Province: Chile] 152004 Coquimbo [Province: Chile] 152005 Aconcagua [Province: Chile] 152006 Valparaíso [Province: Chile] 152007 Santiago [Province: Chile] 152008 O'Higgins [Province: Chile] 152009 Colchagua [Province: Chile] 152010 Curicó [Province: Chile] 152011 Talca [Province: Chile] 152012 Maule [Province: Chile] 152013 Linares [Province: Chile] 152014 Ñuble [Province: Chile] 152015 Concepción [Province: Chile] 152016 Arauco [Province: Chile] 152017 Bío Bío [Province: Chile] 152018 Malleco [Province: Chile] 152019 Cautín [Province: Chile] 152020 Valdivia [Province: Chile] 152021 Osorno [Province: Chile] 152022 Llanquihue [Province: Chile] 152023 Chiloé [Province: Chile] 152024 Aysén [Province: Chile] 152025 Magallanes [Province: Chile] 152097 Foreign country [Province: Chile] 152098 Unknown [Province: Chile] 152099 NIU (not in universe) [Province: Chile] 170005 Antioquia [Department: Colombia] 170008 Atlántico [Department: Colombia] 170011 Bogotá D.C., Cundinamarca [Department: Colombia] 170013 Bolívar, Sucre [Department: Colombia] 170015 Boyacá, Casanare [Department: Colombia] 170018 Caquetá [Department: Colombia] 170019 Cauca [Department: Colombia] 170023 Córdoba [Department: Colombia] 170027 Chocó [Department: Colombia] 170041 Huila [Department: Colombia] 170044 La Guajira [Department: Colombia] 170050 Meta [Department: Colombia] 170052 Nariño [Department: Colombia] 170054 Cesar, Norte De Santander, Magdalena [Department: Colombia] 170066 Caldas, Quindío, Risaralda [Department: Colombia] 170068 Santander [Department: Colombia] 170073 Tolima [Department: Colombia] 170076 Valle Del Cauca [Department: Colombia] 170081 Arauca [Department: Colombia] 170086 Putumayo [Department: Colombia] 170088 Archipiélago De San Andrés Y Providencia [Department: Colombia] 170095 Amazonas, Guaviare, Vaupés, Vichada, Guainía [Department: Colombia] 170097 Abroad [Department: Colombia] 170098 Unknown [Department: Colombia] 188001 San José [Province: Costa Rica] 188002 Alajuela [Province: Costa Rica] 188003 Cartago [Province: Costa Rica] 188004 Heredia [Province: Costa Rica] 188005 Guanacaste [Province: Costa Rica] 188006 Puntarenas [Province: Costa Rica] 188007 Limón [Province: Costa Rica] 188097 Foreign country [Province: Costa Rica] 188098 Unknown [Province: Costa Rica] 192021 Pinar del Río, Artemisa, Mayabeque [Province: Cuba] 192023 La Habana [Province: Cuba] 192025 Matanzas [Province: Cuba] 192026 Villa Clara [Province: Cuba] 192027 Cienfuegos [Province: Cuba] 192028 Sancti Spíritus [Province: Cuba] 192029 Ciego de Ávila [Province: Cuba] 192030 Camagüey [Province: Cuba] 192031 Las Tunas [Province: Cuba] 192032 Holguín [Province: Cuba] 192033 Granma [Province: Cuba] 192034 Santiago de Cuba [Province: Cuba] 192035 Guantánamo [Province: Cuba] 192040 Isla de la Juventud [Province: Cuba] 192997 Abroad [Province: Cuba] 192998 Unknown [Province: Cuba] 192999 NIU (not in universe) [Province: Cuba] 218001 Azuay [Province: Ecuador] 218002 Bolívar [Province: Ecuador] 218004 Carchi [Province: Ecuador] 218005 Cotopaxi [Province: Ecuador] 218006 Chimborazo [Province: Ecuador] 218007 El Oro [Province: Ecuador] 218009 Cañar, Esmeraldas, Guayas, Manabí, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los Ríos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos [Province: Ecuador] 218010 Imbabura, Las Golondrinas [Disputed canton] [Province: Ecuador] 218011 Loja [Province: Ecuador] 218014 Morona Santiago [Province: Ecuador] 218016 Pastaza [Province: Ecuador] 218018 Tungurahua [Province: Ecuador] 218019 Zamora Chinchipe [Province: Ecuador] 218021 Napo, Orellana, Sucumbíos [Province: Ecuador] 218097 Foreign country [Province: Ecuador] 218098 Unknown and Disputed Zones [Province: Ecuador] 218999 NIU (not in universe) [Province: Ecuador] 818000 Reported same governorate as household location [Governorate: Egypt] 818001 Giza, 6th October City, Cairo, Helwan [Governorate: Egypt] 818002 Alexandria [Governorate: Egypt] 818003 Port Said [Governorate: Egypt] 818004 Suez [Governorate: Egypt] 818011 Demietta [Governorate: Egypt] 818012 Dakahlia [Governorate: Egypt] 818013 Sharkia [Governorate: Egypt] 818014 Kaliobia [Governorate: Egypt] 818015 Kafr Sheikh [Governorate: Egypt] 818016 Gharbia [Governorate: Egypt] 818018 Menoufia, Behera [Governorate: Egypt] 818019 Ismailia [Governorate: Egypt] 818022 Bani Swif [Governorate: Egypt] 818023 Fayoum [Governorate: Egypt] 818024 Menia [Governorate: Egypt] 818025 Asiut [Governorate: Egypt] 818026 Sohag [Governorate: Egypt] 818027 Qena, Luxor [Governorate: Egypt] 818028 Aswan [Governorate: Egypt] 818031 Red Sea [Governorate: Egypt] 818032 New Valley [Governorate: Egypt] 818033 Marsa Matroh [Governorate: Egypt] 818034 North Sinai [Governorate: Egypt] 818035 South Sinai [Governorate: Egypt] 818097 Abroad [Governorate: Egypt] 818098 Unknown [Governorate: Egypt] 818099 NIU (not in universe) [Governorate: Egypt] 222001 Ahuachapán [Department: El Salvador] 222002 Santa Ana [Department: El Salvador] 222003 Sonsonate [Department: El Salvador] 222004 Chalatenango [Department: El Salvador] 222005 La Libertad [Department: El Salvador] 222006 San Salvador [Department: El Salvador] 222007 Cuscatlán [Department: El Salvador] 222008 La Paz [Department: El Salvador] 222009 Cabañas [Department: El Salvador] 222010 San Vicente [Department: El Salvador] 222011 Usulután [Department: El Salvador] 222012 San Miguel [Department: El Salvador] 222013 Morazán [Department: El Salvador] 222014 La Unión [Department: El Salvador] 222098 Abroad [Department: El Salvador] 222099 NIU (not in universe) [Department: El Salvador] 231001 Tigray [Region: Ethiopia] 231002 Affar [Region: Ethiopia] 231003 Amhara [Region: Ethiopia] 231004 Oromia, Somali [Region: Ethiopia] 231006 Benishangul-Gumuz [Region: Ethiopia] 231007 Southern Nations, Nationalities, and Peoples (SNNP) [Region: Ethiopia] 231012 Gambela [Region: Ethiopia] 231013 Harari [Region: Ethiopia] 231014 Addis Ababa [Region: Ethiopia] 231015 Dire Dawa [Region: Ethiopia] 231097 Abroad [Region: Ethiopia] 231099 NIU [Region: Ethiopia] 250001 Guadeloupe [Region: France] 250002 Martinique [Region: France] 250003 French Guyana [Region: France] 250004 Réunion Island [Region: France] 250011 Île-de-France [Region: France] 250021 Champagne-Ardenne [Region: France] 250022 Picardy [Region: France] 250023 Upper Normandy [Region: France] 250024 Centre [Region: France] 250025 Lower Normandy [Region: France] 250026 Burgundy [Region: France] 250031 North Pas-de-Calais [Region: France] 250041 Lorraine [Region: France] 250042 Alsace [Region: France] 250043 Franche-Comté [Region: France] 250052 Loire Valley [Region: France] 250053 Brittany [Region: France] 250054 Poitou-Charentes [Region: France] 250072 Aquitaine [Region: France] 250073 Midi-Pyrénées [Region: France] 250074 Limousin [Region: France] 250082 Rhône-Alpes [Region: France] 250083 Auvergne [Region: France] 250091 Languedoc-Roussillon [Region: France] 250093 Provence-Alpes-Riviera [Region: France] 250094 Corsica [Region: France] 250097 Abroad [Region: France] 320001 Guatemala [Department: Guatemala] 320002 El Progreso [Department: Guatemala] 320003 Sacatepéquez [Department: Guatemala] 320004 Chimaltenango [Department: Guatemala] 320005 Escuintla [Department: Guatemala] 320006 Santa Rosa [Department: Guatemala] 320007 Sololá [Department: Guatemala] 320008 Totonicapán [Department: Guatemala] 320009 Quetzaltenango [Department: Guatemala] 320010 Suchitepéquez [Department: Guatemala] 320011 Retalhuleu [Department: Guatemala] 320012 San Marcos [Department: Guatemala] 320013 Huehuetenango [Department: Guatemala] 320014 Quiché [Department: Guatemala] 320015 Baja Verapaz [Department: Guatemala] 320016 Alta Verapaz [Department: Guatemala] 320017 Petén [Department: Guatemala] 320018 Izabal [Department: Guatemala] 320019 Zacapa [Department: Guatemala] 320020 Chiquimula [Department: Guatemala] 320021 Jalapa [Department: Guatemala] 320022 Jutiapa [Department: Guatemala] 320097 Foreign Country [Department: Guatemala] 320098 Unknown [Department: Guatemala] 320099 NIU [Department: Guatemala] 324011 Boffa [Region: Guinea] 324012 Boké [Region: Guinea] 324013 Fria [Region: Guinea] 324014 Gaoual [Region: Guinea] 324015 Koundara [Region: Guinea] 324021 Conakry [Region: Guinea] 324031 Dabola [Region: Guinea] 324032 Dinguiraye [Region: Guinea] 324033 Faranah [Region: Guinea] 324034 Kissidougou [Region: Guinea] 324041 Kankan [Region: Guinea] 324042 Kérouané [Region: Guinea] 324043 Kouroussa [Region: Guinea] 324044 Mandiana [Region: Guinea] 324045 Siguiri [Region: Guinea] 324051 Coyah, Dubréka [Region: Guinea] 324053 Forécariah [Region: Guinea] 324054 Kindia [Region: Guinea] 324055 Télimélé [Region: Guinea] 324061 Koubia [Region: Guinea] 324062 Labé [Region: Guinea] 324063 Lélouma [Region: Guinea] 324064 Mali [Region: Guinea] 324065 Tougué [Region: Guinea] 324071 Dalaba [Region: Guinea] 324072 Mamou [Region: Guinea] 324073 Pita [Region: Guinea] 324081 Beyla [Region: Guinea] 324082 Guéckédou [Region: Guinea] 324083 Lola [Region: Guinea] 324084 Macenta [Region: Guinea] 324085 Nzerekore [Region: Guinea] 324086 Yomou [Region: Guinea] 324096 Guinea, place unknown [Region: Guinea] 324097 Foreign country [Region: Guinea] 324098 Unknown [Region: Guinea] 324099 NIU (not in universe) [Region: Guinea] 332003 Nord (North) and Nord'est (North East) [Department: Haiti] 332006 Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti] 332007 Grand'Anse, Nippes, Sud (South) [Department: Haiti] 332009 Nord'Ouest (North West) [Department: Haiti] 332097 Foreign Country [Department: Haiti] 332098 Unknown [Department: Haiti] 356001 Jammu and Kashmir [State: India] 356002 Himachal Pradesh [State: India] 356003 Punjab [State: India] 356004 Chandigarh [State: India] 356006 Haryana [State: India] 356007 Delhi [State: India] 356008 Rajasthan [State: India] 356009 Uttar Pradesh, Uttaranchal [State: India] 356010 Bihar, Jharkhand [State: India] 356011 Sikkim [State: India] 356012 Arunachal Pradesh [State: India] 356013 Nagaland [State: India] 356014 Manipur [State: India] 356015 Mizoram [State: India] 356016 Tripura [State: India] 356017 Meghalaya [State: India] 356018 Assam [State: India] 356019 West Bengal [State: India] 356021 Orissa [State: India] 356023 Madhya Pradesh, Chhattisgarh [State: India] 356024 Gujarat [State: India] 356026 Dadra and Nagar Haveli [State: India] 356027 Maharashtra [State: India] 356028 Andhra Pradesh [State: India] 356029 Karnataka [State: India] 356030 Goa, Daman and Diu [State: India] 356031 Lakshadweep [State: India] 356032 Kerala [State: India] 356033 Tamil Nadu [State: India] 356034 Pondicherry [State: India] 356035 Andaman and Nicobar Islands [State: India] 356097 Abroad [State: India] 356098 Unknown [State: India] 356099 NIU (not in universe) [State: India] 360011 Nanggroe Aceh Darussalam [Province: Indonesia] 360012 Sumatera Utara [Province: Indonesia] 360013 Sumatera Barat [Province: Indonesia] 360014 Kepulauan Riau, Riau [Province: Indonesia] 360015 Jambi [Province: Indonesia] 360016 Bangka Belitung, Sumatera Selatan [Province: Indonesia] 360017 Bengkulu [Province: Indonesia] 360018 Lampung [Province: Indonesia] 360031 DKI Jakarta [Province: Indonesia] 360032 Banten, Jawa Barat [Province: Indonesia] 360033 Jawa Tengah [Province: Indonesia] 360034 DKI Yogyakarta [Province: Indonesia] 360035 Jawa Timur [Province: Indonesia] 360051 Bali [Province: Indonesia] 360052 Nusa Tenggara Barat [Province: Indonesia] 360053 Nusa Tenggara Timur [Province: Indonesia] 360061 Kalimantan Barat [Province: Indonesia] 360062 Kalimantan Tengah [Province: Indonesia] 360063 Kalimantan Selatan [Province: Indonesia] 360064 Kalimantan Timur [Province: Indonesia] 360071 Gorontalo, Sulawesi Utara [Province: Indonesia] 360072 Sulawesi Tengah [Province: Indonesia] 360073 Sulawesi Barat, Sulawesi Selatan [Province: Indonesia] 360074 Sulawesi Tenggara [Province: Indonesia] 360081 Maluku, Maluku Utara [Province: Indonesia] 360094 Papua, Papua Barat [Province: Indonesia] 360097 Abroad [Province: Indonesia] 360098 Unknown [Province: Indonesia] 360099 NIU (not in universe) [Province: Indonesia] 360626 East Timor [Province: Indonesia] 364000 Markazi [Province: Iran] 364001 Gilan [Province: Iran] 364002 Mazandaran [Province: Iran] 364003 East Azarbayejan [Province: Iran] 364004 West Azarbayejan [Province: Iran] 364005 Kermanshah [Province: Iran] 364006 Khuzestan [Province: Iran] 364007 Fars [Province: Iran] 364008 Kerman [Province: Iran] 364009 Razavi Khorasan [Province: Iran] 364010 Esfahan [Province: Iran] 364011 Sistan and Baluchestan [Province: Iran] 364012 Kordestan [Province: Iran] 364013 Hamedan [Province: Iran] 364014 Chaharmahal and Bakhtiyari [Province: Iran] 364015 Lorestan [Province: Iran] 364016 Ilam [Province: Iran] 364017 Kohgiluyeh and Boyerahmad [Province: Iran] 364018 Bushehr [Province: Iran] 364019 Zanjan [Province: Iran] 364020 Semnan [Province: Iran] 364021 Yazd [Province: Iran] 364022 Hormozgan [Province: Iran] 364023 Tehran, Alborz [Province: Iran] 364024 Ardebil [Province: Iran] 364025 Qom [Province: Iran] 364026 Qazvin [Province: Iran] 364027 Golestan [Province: Iran] 364028 North Khorasan [Province: Iran] 364029 South Khorasan [Province: Iran] 364098 Unknown [Province: Iran] 364099 NIU (not in universe) [Province: Iran] 368000 Always lived in residential place of birth [Governorate: Iraq] 368001 In this governorate [Governorate: Iraq] 368011 Dahuk [Governorate: Iraq] 368012 Nineveh [Governorate: Iraq] 368013 Sulaymaniyah [Governorate: Iraq] 368014 Al-Tameem [Governorate: Iraq] 368015 Erbil [Governorate: Iraq] 368021 Diala [Governorate: Iraq] 368022 Al-Anbar [Governorate: Iraq] 368023 Baghdad [Governorate: Iraq] 368024 Babylon [Governorate: Iraq] 368025 Kerbela [Governorate: Iraq] 368026 Wasit [Governorate: Iraq] 368027 Salah Al-Deen [Governorate: Iraq] 368028 Al-Najaf [Governorate: Iraq] 368031 Al-Qadisiya [Governorate: Iraq] 368032 Al-Muthanna [Governorate: Iraq] 368033 Thi-Qar [Governorate: Iraq] 368034 Maysan [Governorate: Iraq] 368035 Al-Basrah [Governorate: Iraq] 368097 Other countries [Governorate: Iraq] 368098 Unknown [Governorate: Iraq] 388001 Kingston [Parish: Jamaica] 388002 Saint Andrew [Parish: Jamaica] 388003 Saint Thomas [Parish: Jamaica] 388004 Portland [Parish: Jamaica] 388005 Saint Mary [Parish: Jamaica] 388006 Saint Ann [Parish: Jamaica] 388007 Trelawny [Parish: Jamaica] 388008 Saint James [Parish: Jamaica] 388009 Hanover [Parish: Jamaica] 388010 Westmoreland [Parish: Jamaica] 388011 Saint Elizabeth [Parish: Jamaica] 388012 Manchester [Parish: Jamaica] 388013 Clarendon [Parish: Jamaica] 388014 Saint Catherine [Parish: Jamaica] 388098 Unknown [Parish: Jamaica] 388099 NIU (Not in universe) [Parish: Jamaica] 400011 Amman [Governorate: Jordan] 400012 Balqa [Governorate: Jordan] 400013 Zarqa [Governorate: Jordan] 400014 Madaba [Governorate: Jordan] 400021 Irbid [Governorate: Jordan] 400022 Mafraq [Governorate: Jordan] 400023 Jarash [Governorate: Jordan] 400024 Ajlun [Governorate: Jordan] 400031 Karak [Governorate: Jordan] 400032 Tafilah [Governorate: Jordan] 400033 Ma'an [Governorate: Jordan] 400034 Aqaba [Governorate: Jordan] 400997 Foreign Country [Governorate: Jordan] 400998 Unknown [Governorate: Jordan] 404001 Nairobi [Province: Kenya] 404002 Central [Province: Kenya] 404003 Coast [Province: Kenya] 404004 Eastern [Province: Kenya] 404005 Northeastern [Province: Kenya] 404006 Nyanza [Province: Kenya] 404007 Rift Valley [Province: Kenya] 404008 Western [Province: Kenya] 404097 Abroad [Province: Kenya] 404098 Unknown [Province: Kenya] 404099 NIU (not in universe) [Province: Kenya] 417001 Bishkek [Region: Kyrgyz Republic] 417002 Issyk-Kul region [Region: Kyrgyz Republic] 417003 Dzhalal-Abad region [Region: Kyrgyz Republic] 417004 Naryn region [Region: Kyrgyz Republic] 417005 Batken region [Region: Kyrgyz Republic] 417006 Oshskaya region, City of Osh [Region: Kyrgyz Republic] 417007 Talasskaya region [Region: Kyrgyz Republic] 417008 Chuya region [Region: Kyrgyz Republic] 417096 Other Kyrgyz Republic, not specified [Region: Kyrgyz Republic] 417097 Foreign country [Region: Kyrgyz Republic] 417098 Unknown [Region: Kyrgyz Republic] 417099 NIU (not in universe) [Region: Kyrgyz Republic] 418001 Vientiane Capital [Province: Laos] 418002 Phongsaly [Province: Laos] 418003 Luangnamtha [Province: Laos] 418004 Oudomxay [Province: Laos] 418005 Bokeo [Province: Laos] 418006 Luangprabang [Province: Laos] 418007 Huaphanh [Province: Laos] 418008 Xayaboury [Province: Laos] 418009 Xienkhuang [Province: Laos] 418010 Vientiane Province [Province: Laos] 418011 Borikhamxay [Province: Laos] 418012 Khammuane [Province: Laos] 418013 Savanakhet [Province: Laos] 418014 Saravane [Province: Laos] 418015 Sekong [Province: Laos] 418016 Champasack [Province: Laos] 418017 Attapeu [Province: Laos] 418018 Xaysomboune [Province: Laos] 418097 Foreign Country [Province: Laos] 418098 Unknown [Province: Laos] 418099 NIU [Province: Laos] 662003 Castries city, Castries rural, Castries suburban [District: Saint Lucia] 662009 Choiseul, Laborie, Vieux-Fort [District: Saint Lucia] 662010 Anse-la-Raye, Canaries, Micoud, Soufriere [District: Saint Lucia] 662012 Dennery, Gros-Islet [District: Saint Lucia] 662098 Unknown [District: Saint Lucia] 662099 NIU [District: Saint Lucia] 454101 Chitipa [District: Malawi] 454102 Karonga [District: Malawi] 454103 Nkhata Bay, Likoma [District: Malawi] 454104 Rumphi [District: Malawi] 454105 Mzimba, Mzuzu City [District: Malawi] 454201 Kasungu [District: Malawi] 454202 Nkhotakota [District: Malawi] 454203 Ntchisi [District: Malawi] 454204 Dowa [District: Malawi] 454205 Salima [District: Malawi] 454206 Lilongwe, Lilongwe City [District: Malawi] 454207 Mchinji [District: Malawi] 454208 Dedza [District: Malawi] 454209 Ntcheu [District: Malawi] 454301 Mangochi [District: Malawi] 454302 Machinga [District: Malawi] 454303 Zomba, Zomba City [District: Malawi] 454304 Chiradzulu [District: Malawi] 454305 Blantyre, Blantyre City [District: Malawi] 454306 Mwanza, Neno [District: Malawi] 454307 Thyolo [District: Malawi] 454308 Mulanje [District: Malawi] 454309 Phalombe [District: Malawi] 454310 Chikwawa [District: Malawi] 454311 Nsanje [District: Malawi] 454312 Balaka [District: Malawi] 454997 Abroad [District: Malawi] 454999 NIU (not in universe) [District: Malawi] 466001 Kayes [Region: Mali] 466002 Koulikoro [Region: Mali] 466003 Sikasso [Region: Mali] 466004 Ségou [Region: Mali] 466005 Mopti [Region: Mali] 466006 Tombouctou [Region: Mali] 466007 Gao, Kidal [Region: Mali] 466009 Bamako [Region: Mali] 466096 Mali, province unspecified [Region: Mali] 466097 Foreign country [Region: Mali] 466098 Unknown [Region: Mali] 466999 NIU (not in universe) [Region: Mali] 484001 Aguascalientes [State: Mexico] 484002 Baja California [State: Mexico] 484003 Baja California Sur [State: Mexico] 484004 Campeche [State: Mexico] 484005 Coahuila de Zaragoza [State: Mexico] 484006 Colima [State: Mexico] 484007 Chiapas [State: Mexico] 484008 Chihuahua [State: Mexico] 484009 Distrito Federal [State: Mexico] 484010 Durango [State: Mexico] 484011 Guanajuato [State: Mexico] 484012 Guerrero [State: Mexico] 484013 Hidalgo [State: Mexico] 484014 Jalisco [State: Mexico] 484015 México [State: Mexico] 484016 Michoacán de Ocampo [State: Mexico] 484017 Morelos [State: Mexico] 484018 Nayarit [State: Mexico] 484019 Nuevo León [State: Mexico] 484020 Oaxaca [State: Mexico] 484021 Puebla [State: Mexico] 484022 Querétaro [State: Mexico] 484023 Quintana Roo [State: Mexico] 484024 San Luis Potosí [State: Mexico] 484025 Sinaloa [State: Mexico] 484026 Sonora [State: Mexico] 484027 Tabasco [State: Mexico] 484028 Tamaulipas [State: Mexico] 484029 Tlaxcala [State: Mexico] 484030 Veracruz de Ignacio de la Llave [State: Mexico] 484031 Yucatán [State: Mexico] 484032 Zacatecas [State: Mexico] 484097 Abroad [State: Mexico] 484098 Unknown [State: Mexico] 484099 NIU (not in universe) [State: Mexico] 496011 Ulaanbaatar [Province: Mongolia] 496021 Dornod [Province: Mongolia] 496022 Sukhbaatar [Province: Mongolia] 496023 Khentii [Province: Mongolia] 496041 Tuv [Province: Mongolia] 496043 Selenge [Province: Mongolia] 496044 Dornogobi [Province: Mongolia] 496045 Darkhan-Uul [Province: Mongolia] 496046 Umnugobi [Province: Mongolia] 496048 Dundgobi, Gobisumber [Province: Mongolia] 496061 Orkhon [Province: Mongolia] 496062 Uvurkhangai [Province: Mongolia] 496063 Bulgan [Province: Mongolia] 496064 Bayankhongor [Province: Mongolia] 496065 Arkhangai [Province: Mongolia] 496067 Khuvsgul [Province: Mongolia] 496081 Zavkhan [Province: Mongolia] 496082 Gobi-Altai [Province: Mongolia] 496083 Bayan-Ulgii [Province: Mongolia] 496084 Khovd [Province: Mongolia] 496085 Uvs [Province: Mongolia] 496097 Abroad [Province: Mongolia] 496099 NIU (not in universe) [Province: Mongolia] 104001 Kachin [State: Myanmar] 104002 Kayah [State: Myanmar] 104003 Kayin [State: Myanmar] 104004 Chin [State: Myanmar] 104005 Sagaing [State: Myanmar] 104006 Tanintharyi [State: Myanmar] 104007 Bago [State: Myanmar] 104008 Magway [State: Myanmar] 104009 Mandalay [State: Myanmar] 104010 Mon [State: Myanmar] 104011 Rakhine [State: Myanmar] 104012 Yangon [State: Myanmar] 104013 Shan [State: Myanmar] 104014 Ayeyawady [State: Myanmar] 104015 Nay Pyi Taw [State: Myanmar] 104097 Abroad [State: Myanmar] 104099 NIU [State: Myanmar] 591002 Coclé [Province: Panama] 591003 Colón, Comarca Kuna Yala (San Blas) [Province: Panama] 591004 Bocas de Toro, Chiriquí, Comarca Ngäbe Buglé, Veraguas [Province: Panama] 591005 Comarca Emberá, Darién [Province: Panama] 591006 Herrera [Province: Panama] 591007 Los Santos [Province: Panama] 591008 Panamá [Province: Panama] 591009 Unknown district in Panamá province [Province: Panama] 591097 Foreign country [Province: Panama] 591098 Unknown [Province: Panama] 591099 NIU (not in universe) [Province: Panama] 608001 Abra [Province: Philippines] 608002 Agusan del norte [Province: Philippines] 608003 Agusan del sur [Province: Philippines] 608004 Aklan [Province: Philippines] 608005 Albay [Province: Philippines] 608006 Antique [Province: Philippines] 608007 Basilan, City Of Isabela [Province: Philippines] 608008 Bataan [Province: Philippines] 608010 Batangas [Province: Philippines] 608011 Benguet [Province: Philippines] 608012 Bohol [Province: Philippines] 608013 Bukidnon [Province: Philippines] 608014 Bulacan [Province: Philippines] 608015 Cagayan, Batanes [Province: Philippines] 608016 Camarines norte [Province: Philippines] 608017 Camarines Sur [Province: Philippines] 608018 Camiguin [Province: Philippines] 608019 Capiz [Province: Philippines] 608020 Catanduanes [Province: Philippines] 608021 Cavite [Province: Philippines] 608022 Cebu [Province: Philippines] 608023 Davao (Davao del Norte) [Province: Philippines] 608024 Davao del Sur, Davao Occidental [Province: Philippines] 608025 Davao Oriental [Province: Philippines] 608026 Eastern Samar [Province: Philippines] 608027 Ifugao [Province: Philippines] 608028 Ilocos Norte [Province: Philippines] 608029 Ilocos Sur [Province: Philippines] 608030 Iloilo, Guimaras [Province: Philippines] 608031 Isabela [Province: Philippines] 608032 Kalinga-Apayao, Apayo, Kalinga [Province: Philippines] 608033 La Union [Province: Philippines] 608034 Laguna [Province: Philippines] 608035 Lanao del Norte [Province: Philippines] 608036 Lanao del Sur, Maguindanao, Marawi City and Cotabato city [Province: Philippines] 608037 Leyte, Biliran [Province: Philippines] 608039 Manila [Province: Philippines] 608040 Marinduque [Province: Philippines] 608041 Masbate [Province: Philippines] 608042 Misamis Occidental [Province: Philippines] 608043 Misamis Oriental [Province: Philippines] 608044 Mountain Province [Province: Philippines] 608045 Negros Occidental [Province: Philippines] 608046 Negros Oriental [Province: Philippines] 608047 Cotabato (North Cotabato) [Province: Philippines] 608048 Northern Samar [Province: Philippines] 608049 Nueva Ecija [Province: Philippines] 608050 Nueva Vizcaya [Province: Philippines] 608051 Occidental Mindoro [Province: Philippines] 608052 Oriental Mindoro [Province: Philippines] 608053 Palawan [Province: Philippines] 608054 Pampanga [Province: Philippines] 608055 Pangasinan [Province: Philippines] 608056 Quezon [Province: Philippines] 608057 Quirino [Province: Philippines] 608058 Rizal [Province: Philippines] 608059 Romblon [Province: Philippines] 608060 Samar (Western Samar) [Province: Philippines] 608061 Siquijor [Province: Philippines] 608062 Sorsogon [Province: Philippines] 608063 South Cotabato, Sarangani [Province: Philippines] 608064 Southern Leyte [Province: Philippines] 608065 Sultan Kudarat [Province: Philippines] 608066 Sulu [Province: Philippines] 608067 Surigao Del Norte, Dinagat islands [Province: Philippines] 608068 Surigao del Sur [Province: Philippines] 608069 Tarlac [Province: Philippines] 608070 Tawi-Tawi [Province: Philippines] 608071 Zambales [Province: Philippines] 608072 Zamboanga Norte [Province: Philippines] 608073 Zamboanga del Sur, Zamboanga Sibugay [Province: Philippines] 608074 Manila Metro, 2nd District [Province: Philippines] 608075 Manila Metro, 3rd District [Province: Philippines] 608076 Manila Metro, 4th District [Province: Philippines] 608077 Aurora [Province: Philippines] 608097 Foreign country [Province: Philippines] 608098 Unknown [Province: Philippines] 608099 NIU (not in universe) [Province: Philippines] 642001 Alba [County: Romania] 642002 Arad [County: Romania] 642003 Arges [County: Romania] 642004 Bacau [County: Romania] 642005 Bihor [County: Romania] 642006 Bistrita Nasaud [County: Romania] 642007 Botosani [County: Romania] 642008 Brasov [County: Romania] 642009 Braila [County: Romania] 642010 Buzau [County: Romania] 642011 Caras Severin [County: Romania] 642012 Cluj [County: Romania] 642013 Constanta [County: Romania] 642014 Covasna [County: Romania] 642015 Dambovita [County: Romania] 642016 Dolj [County: Romania] 642017 Galati [County: Romania] 642018 Gorj [County: Romania] 642019 Harghita [County: Romania] 642020 Hunedoara [County: Romania] 642022 Iasi [County: Romania] 642024 Maramures [County: Romania] 642025 Mehedinti [County: Romania] 642026 Mures [County: Romania] 642027 Neamt [County: Romania] 642028 Olt [County: Romania] 642029 Prahova [County: Romania] 642030 Satu Mare [County: Romania] 642031 Salaj [County: Romania] 642032 Sibiu [County: Romania] 642033 Suceava [County: Romania] 642034 Teleorman [County: Romania] 642035 Timis [County: Romania] 642036 Tulcea [County: Romania] 642037 Vaslui [County: Romania] 642038 Valcea [County: Romania] 642039 Vrancea [County: Romania] 642043 Bucharest Sector 1 to 6 [County: Romania] 642051 Calarasi, Giurgiu, Ialomita, Ilfov [County: Romania] 642097 Foreign country [County: Romania] 642098 Unknown [County: Romania] 642099 NIU (not in universe) [County: Romania] 646002 Byumba, Kigali Ngali, Kigali Ville, Kibungo, Umutara [Province: Rwanda] 646003 Gitarama [Province: Rwanda] 646004 Butare [Province: Rwanda] 646005 Gikongoro [Province: Rwanda] 646006 Cyangugu [Province: Rwanda] 646007 Kibuye [Province: Rwanda] 646008 Gisenyi [Province: Rwanda] 646009 Ruhengeri [Province: Rwanda] 646097 Foreign Countries [Province: Rwanda] 646098 Unknown [Province: Rwanda] 646099 NIU [Province: Rwanda] 705001 Pomurska [Region: Slovenia] 705002 Podravska [Region: Slovenia] 705003 Koroška [Region: Slovenia] 705004 Savinjska [Region: Slovenia] 705005 Zasavska [Region: Slovenia] 705006 Spodnjeposavska [Region: Slovenia] 705007 Jugovzhodna Slovenija [Region: Slovenia] 705008 Osrednjeslovenska [Region: Slovenia] 705009 Gorenjska [Region: Slovenia] 705010 Notranjsko-kraška [Region: Slovenia] 705011 Goriška [Region: Slovenia] 705012 Obalno-kraška [Region: Slovenia] 705097 Abroad [Region: Slovenia] 705999 NIU (not in universe) [Region: Slovenia] 710001 Western Cape [Province: South Africa] 710004 Free State [Province: South Africa] 710005 Eastern Cape, KwaZulu-Natal [Province: South Africa] 710007 Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa] 710097 Foreign country [Province: South Africa] 710098 Unknown [Province: South Africa] 710099 NIU (not in universe) [Province: South Africa] 724011 Galicia [Communities & autonomous city: Spain] 724012 Principado de Asturias [Communities & autonomous city: Spain] 724013 Cantabria [Communities & autonomous city: Spain] 724021 País Vasco [Communities & autonomous city: Spain] 724022 Comunidad Foral de Navarra [Communities & autonomous city: Spain] 724023 La Rioja [Communities & autonomous city: Spain] 724024 Aragón [Communities & autonomous city: Spain] 724030 Comunidad de Madrid [Communities & autonomous city: Spain] 724041 Castilla y León [Communities & autonomous city: Spain] 724042 Castilla-La Mancha [Communities & autonomous city: Spain] 724043 Extremadura [Communities & autonomous city: Spain] 724051 Cataluña [Communities & autonomous city: Spain] 724052 Comunidad Valenciana [Communities & autonomous city: Spain] 724053 Islas Baleares [Communities & autonomous city: Spain] 724061 Andalucía [Communities & autonomous city: Spain] 724062 Región de Murcia [Communities & autonomous city: Spain] 724063 Ciudad Autónoma de Ceuta [Communities & autonomous city: Spain] 724064 Ciudad Autónoma de Melilla [Communities & autonomous city: Spain] 724070 Canarias [Communities & autonomous city: Spain] 724097 Abroad [Communities & autonomous city: Spain] 724999 NIU (not in universe) [Communities & autonomous city: Spain] 740001 Paramaribo [District: Suriname] 740002 Wanica [District: Suriname] 740003 Nickerie [District: Suriname] 740005 Saramacca, Coronie [District: Suriname] 740006 Marowijne, Commewijne [District: Suriname] 740008 Brokopondo, Para [District: Suriname] 740010 Sipaliwini [District: Suriname] 740096 Suriname, district unknown [District: Suriname] 740097 Foreign [District: Suriname] 740098 Unknown [District: Suriname] 764010 Bangkok [Province: Thailand] 764011 Samut Prakan [Province: Thailand] 764012 Nonthaburi [Province: Thailand] 764013 Pathum Thani [Province: Thailand] 764014 Phra Nakhon Si Ayutthaya [Province: Thailand] 764015 Ang Thong [Province: Thailand] 764016 Lop Buri [Province: Thailand] 764017 Sing Buri [Province: Thailand] 764018 Chai Nat [Province: Thailand] 764019 Sa Kaeo, Prachin Buri [Province: Thailand] 764020 Chon Buri [Province: Thailand] 764021 Rayong [Province: Thailand] 764022 Chanthaburi [Province: Thailand] 764023 Trat [Province: Thailand] 764024 Chachoengsao [Province: Thailand] 764026 Nakhon Nayok [Province: Thailand] 764027 Saraburi [Province: Thailand] 764030 Nakhon Ratchasima [Province: Thailand] 764031 Buri Ram [Province: Thailand] 764032 Surin [Province: Thailand] 764033 Si Sa Ket [Province: Thailand] 764034 Ubon Ratchathani, Yasothon, Amnat Charoen [Province: Thailand] 764036 Chaiyaphum [Province: Thailand] 764039 Nong Bua Lam Phu, Udon Thani [Province: Thailand] 764040 Khon Kaen [Province: Thailand] 764042 Loei [Province: Thailand] 764043 Nong Khai [Province: Thailand] 764044 Maha Sarakham [Province: Thailand] 764045 Roi Et [Province: Thailand] 764046 Kalasin [Province: Thailand] 764047 Sakon Nakhon [Province: Thailand] 764048 Nakhon Phanom, Mukdahan [Province: Thailand] 764050 Chiang Mai [Province: Thailand] 764051 Lamphun [Province: Thailand] 764052 Lampang [Province: Thailand] 764053 Uttaradit [Province: Thailand] 764054 Phrae [Province: Thailand] 764055 Nan [Province: Thailand] 764057 Phayao, Chiang Rai [Province: Thailand] 764058 Mae Hong Son [Province: Thailand] 764060 Nakhon Sawan [Province: Thailand] 764061 Uthai Thani [Province: Thailand] 764062 Kamphaeng Phet [Province: Thailand] 764063 Tak [Province: Thailand] 764064 Sukhothai [Province: Thailand] 764065 Phitsanulok [Province: Thailand] 764066 Phichit [Province: Thailand] 764067 Phetchabun [Province: Thailand] 764070 Ratchaburi [Province: Thailand] 764071 Kanchanaburi [Province: Thailand] 764072 Suphanburi [Province: Thailand] 764073 Nakhon Pathom [Province: Thailand] 764074 Samut Sakhon [Province: Thailand] 764075 Samut Songkhram [Province: Thailand] 764076 Phetchaburi [Province: Thailand] 764077 Prachuap Khiri Khan [Province: Thailand] 764080 Nakhon Si Thammarat [Province: Thailand] 764082 Phangnga [Province: Thailand] 764083 Phuket [Province: Thailand] 764084 Krabi, Surat Thani [Province: Thailand] 764086 Ranong, Chumphon [Province: Thailand] 764090 Songkhla [Province: Thailand] 764091 Satun [Province: Thailand] 764092 Trang [Province: Thailand] 764093 Phatthalung [Province: Thailand] 764094 Pattani [Province: Thailand] 764095 Yala [Province: Thailand] 764096 Narathiwat [Province: Thailand] 764097 Same province [Province: Thailand] 764098 Unknown province, but within Thaliand [Province: Thailand] 764997 Abroad [Province: Thailand] 764998 Unknown [Province: Thailand] 764999 NIU (not in universe) [Province: Thailand] 768001 Maritime, Lomé [Region: Togo] 768002 Plateaux, Centrale, Kara [Region: Togo] 768003 Savanes [Region: Togo] 768097 Foreign Country [Region: Togo] 768098 Unknown [Region: Togo] 768099 NIU [Region: Togo] 780010 Port of Spain [Region: Trinidad and Tobago] 780020 San Fernando [Region: Trinidad and Tobago] 780080 Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin, Caroni, St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago] Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin, Caroni, St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago] 780094 St. Paul, St. Mary, St. David, St. George, St. Patrick, St. Andrew, St. John, Tobago [Region: Trinidad and Tobago] 780098 Unknown [Region: Trinidad and Tobago] 800101 Kalangala [District: Uganda] 800102 Kampala [District: Uganda] 800103 Kiboga, Kyankwanzi [District: Uganda] 800104 Luwero, Nakasongola, Nakaseke [District: Uganda] 800105 Masaka, Ssembabule, Bukomansimbi, Kalungu, Lwengo [District: Uganda] 800106 Mpigi, Wakiso, Butambala, Gomba [District: Uganda] 800107 Mubende, Mityana [District: Uganda] 800108 Mukono, Kayunga, Buikwe, Buvuma [District: Uganda] 800110 Rakai, Lyantonde [District: Uganda] 800201 Bugiri, Iganga, Mayuge, Namutumba, Luuka, Namayingo [District: Uganda] 800202 Busia, Tororo, Butaleja [District: Uganda] 800204 Jinja [District: Uganda] 800205 Kamuli, Kaliro, Buyende [District: Uganda] 800206 Kapchorwa, Bukwo, Kween [District: Uganda] 800207 Katakwi, Soroti, Kaberamaido, Amuria, Serere [District: Uganda] 800208 Kumi, Bukedea, Ngora [District: Uganda] 800209 Mbale, Sironko, Bududa, Manafwa, Bulambuli [District: Uganda] 800210 Pallisa, Budaka, Kibuku [District: Uganda] 800301 Adjumani, Moyo [District: Uganda] 800302 Apac, Oyam, Kole [District: Uganda] 800303 Arua, Yumbe, Koboko, Maracha [District: Uganda] 800304 Gulu, Amuru, Nwoya, Omoro [District: Uganda] 800305 Kitgum, Pader, Agago, Lamwo [District: Uganda] 800306 Kotido, Moroto, Nakapiripirit, Abim, Kaabong, Amudat, Napak [District: Uganda] 800307 Lira, Amolatar, Dokolo, Alebtong, Otuke [District: Uganda] 800310 Nebbi, Zombo [District: Uganda] 800401 Bundibugyo, Ntoroko [District: Uganda] 800402 Bushenyi, Mbarara, Ntungamo, Ibanda, Isingiro, Kiruhura, Buhweju, Mitooma, Rubirizi, Sheema [District: Uganda] 800403 Hoima [District: Uganda] 800404 Kabale, Rubanda [District: Uganda] 800405 Kabarole, Kamwenge, Kyenjojo, Kyegegwa [District: Uganda] 800406 Kasese [District: Uganda] 800407 Kibaale, Kagadi, Kakumiro [District: Uganda] 800408 Kisoro [District: Uganda] 800409 Masindi, Buliisa, Kiryandongo [District: Uganda] 800412 Rukungiri, Kanungu [District: Uganda] 800096 Visitor [District: Uganda] 800097 Foreign country [District: Uganda] 800098 Unknown [District: Uganda] 804001 The Autonomous Republic of Crimea [Region: Ukraine] 804005 Vinnytska oblast [Region: Ukraine] 804007 Volynska oblast [Region: Ukraine] 804012 Dnipropetrovska oblast [Region: Ukraine] 804014 Donetska oblast [Region: Ukraine] 804018 Zhytomyrska oblast [Region: Ukraine] 804021 Zakarpatska oblast [Region: Ukraine] 804023 Zaporizka oblast [Region: Ukraine] 804026 Ivano-Frankivska oblast [Region: Ukraine] 804032 Kyivska oblast [Region: Ukraine] 804035 Kirovohradska oblast [Region: Ukraine] 804044 Luhanska oblast [Region: Ukraine] 804046 Lvivska oblast [Region: Ukraine] 804048 Mykolaivska oblast [Region: Ukraine] 804051 Odeska oblast [Region: Ukraine] 804053 Poltavska oblast [Region: Ukraine] 804056 Rivnenska oblast [Region: Ukraine] 804059 Sumska oblast [Region: Ukraine] 804061 Ternopilska oblast [Region: Ukraine] 804063 Kharkivska oblast [Region: Ukraine] 804065 Khersonska oblast [Region: Ukraine] 804068 Khmelnytska oblast [Region: Ukraine] 804071 Cherkaska oblast [Region: Ukraine] 804073 Chernivetska oblast [Region: Ukraine] 804074 Chernihivska oblast [Region: Ukraine] 804080 Kyiv (independent city) [Region: Ukraine] 804085 Sevastopol (independent city) [Region: Ukraine] 804097 Foreign country [Region: Ukraine] 804098 Unknown [Region: Ukraine] 804099 NIU (not in universe) [Region: Ukraine] 858001 Montevideo [Department: Uruguay] 858002 Artigas [Department: Uruguay] 858003 Canelones [Department: Uruguay] 858004 Cerro Largo [Department: Uruguay] 858005 Colonia [Department: Uruguay] 858006 Durazno [Department: Uruguay] 858007 Flores [Department: Uruguay] 858008 Florida [Department: Uruguay] 858009 Lavalleja [Department: Uruguay] 858010 Maldonado [Department: Uruguay] 858011 Paysandú [Department: Uruguay] 858012 Río Negro [Department: Uruguay] 858013 Rivera [Department: Uruguay] 858014 Rocha [Department: Uruguay] 858015 Salto [Department: Uruguay] 858016 San Jose [Department: Uruguay] 858017 Soriano [Department: Uruguay] 858018 Tacuarembó [Department: Uruguay] 858019 Treinta Y Tres [Department: Uruguay] 858097 Abroad [Department: Uruguay] 858098 Unknown [Department: Uruguay] 858999 NIU (not in universe) [Department: Uruguay] 862001 Federal District, Vargas [State: Venezuela] 862002 Amazonas Federal Territory [State: Venezuela] 862003 Anzoátegui [State: Venezuela] 862004 Apure [State: Venezuela] 862005 Aragua [State: Venezuela] 862007 Bolívar [State: Venezuela] 862008 Carabobo [State: Venezuela] 862009 Cojedes [State: Venezuela] 862010 Amacuros Delta Federal Territory [State: Venezuela] 862011 Falcón [State: Venezuela] 862012 Guárico [State: Venezuela] 862013 Lara [State: Venezuela] 862014 Barinas, Mérida [State: Venezuela] 862015 Miranda [State: Venezuela] 862016 Monagas [State: Venezuela] 862017 Nueva Esparta, Federal Dependencies [State: Venezuela] 862018 Portuguesa [State: Venezuela] 862019 Sucre [State: Venezuela] 862020 Táchira [State: Venezuela] 862021 Trujillo [State: Venezuela] 862022 Yaracuy [State: Venezuela] 862023 Zulia [State: Venezuela] 862097 Foreign country [State: Venezuela] 862098 Unknown [State: Venezuela] 862099 NIU (not in universe) [State: Venezuela] Migration: Global Variables -- PERSON Years residing in current locality MIGYRS1 indicates how many years the person has resided in their current locality of residence. 00 Less than 1 year 01 1 year (or 1 year or less) 02 2 years 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95+ years 96 Less than 5 years 97 More than 5 years 98 Unknown 99 NIU (not in universe) Migration: Global Variables -- PERSON Governorate of previous residence, Jordan; consistent boundaries, GIS MIG1_P_JO indicates the person's governorate of previous residence within Jordan. Migration governorate codes from MIG1_P_JO are compatible with codes from GEO1_JO. Click on the Source Variables tab for information on place of residence for each sample year. Source variables may contain more geographic unit detail but are not suitable for cross-temporal comparison. 400011 Amman 400012 Balqa 400013 Zarqa 400014 Madaba 400021 Irbid 400022 Mafraq 400023 Jarash 400024 Ajlun 400031 Karak 400032 Tafilah 400033 Ma'an 400034 Aqaba 400997 Foreign Country 400998 Unknown Migration: F-N Variables -- PERSON Disability status DISABLED indicates whether the person reported a disability of any kind. 0 NIU (not in universe) 1 Yes, disabled 2 No, not disabled 9 Unknown Disability Variables -- PERSON Employment disability DISEMP indicates if the respondent was economically inactive because of disabilities or, in some instances, other health-related reasons. 1 Disabled 2 Not disabled 8 Unknown 9 NIU (not in universe) Disability Variables -- PERSON Blind or vision-impaired DISBLND indicates whether the person was blind or had limited vision. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Mental disability DISMNTL indicates whether the person suffered a mental disability in the form of diminished capacity. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Person number (within household) Jordan 2004: All persons 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 Technical Person Variables -- PERSON Serial number of person <svar v="JO04A400" a="all">203. Serial number of person<br /><div class="i1">[] 1<br />[] 2<br />[] 3<br />[] 4<br />[] 5<br />[] 6<br />[] 7<br />[] 8<br />[] 9<br />[] 10</div><br /></svar> Jordan 2004: All persons This variable indicates the serial number of the person. 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 Technical Person Variables -- PERSON Relationship to head of household <svar v="JO04A427" a="all">205. Relation to Head of Household<br /><div class="i1">[] 1 Husband / wife<br />[] 2 Son / daughter<br />[] 3 Father / mother<br />[] 4 Grandson / granddaughter<br />[] 5 Brother / sister<br />[] 6 Other relatives<br />[] 7 Maid<br />[] 8 Others<br />[] 0 Household head</div><br /></svar> Jordan 2004: All persons This variable indicates the person's relationship to the head of household. 0 Head 1 Husband/wife 2 Son/daughter 3 Father/mother 4 Grandson/granddaughter 5 Brother/sistrer 6 Other relatives 7 Maid 8 Others Demographic Variables -- PERSON Sex <svar v="JO04A428" a="all">206. Sex<br /><div class="i1">[] 1 Male<br />[] 2 Female</div><br /></svar> Jordan 2004: All persons This variable indicates the person's sex. 1 Male 2 Female Demographic Variables -- PERSON Month of birth <svar v="JO04A429 JO04A430" a="all">208. Date of birth<br />Month _ _<br />Year _ _ _ _<br /></svar> Jordan 2004: All persons This variable indicates the person's month of birth. 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 99 Unknown Demographic Variables -- PERSON Year of birth <svar v="JO04A429 JO04A430" a="all">208. Date of birth<br />Month _ _<br />Year _ _ _ _<br /></svar> Jordan 2004: All persons This variable indicates the person's year of birth. 1910 1910 or earlier 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 9999 Unknown Demographic Variables -- PERSON Age in completed years <svar v="JO04A431" a="all">209. Age (in completed years) _ _<br /></svar> Jordan 2004: All persons This variable indicates the person's age in completed years. 00 Less than 1 year 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 96 96 97 97+ 99 Unknown Demographic Variables -- PERSON Medically insured <svar v="JO04A432" a="all">210. Is [name of person] medically insured?<br /><div class="i1">[] 1 Yes<br />[] 2 No (skip to 212)<br />[] 3 Don't know (skip to 212)</div><br /></svar> Jordan 2004: All persons This variable indicates whether the person is medically insured. 1 Yes 2 No 3 Respondent did not know 9 Unknown Other Person Variables -- PERSON Type of health insurance, civilian <svar v="JO04A433 JO04A434 JO04A435 JO04A436 JO04A437" a="all">211. Types of health insurance<br /><div class="i1">[Question 211 was asked of persons who were medically insured, per Question 210.]<br />[] 1 Civilian<br />[] 2 Military<br />[] 4 Official universities<br />[] 8 Private</div><br /><div class="i2">Total _ _</div><br /></svar> Jordan 2004: Persons with medical insurance [discrepancies: none] This variable indicates whether the person's health insurance is civilian. 1 Yes 2 No 9 NIU (not in universe) Other Person Variables -- PERSON Type of health insurance, military <svar v="JO04A433 JO04A434 JO04A435 JO04A436 JO04A437" a="all">211. Types of health insurance<br /><div class="i1">[Question 211 was asked of persons who were medically insured, per Question 210.]<br />[] 1 Civilian<br />[] 2 Military<br />[] 4 Official universities<br />[] 8 Private</div><br /><div class="i2">Total _ _</div><br /></svar> Jordan 2004: Persons with medical insurance [discrepancies: none] This variable indicates whether the person's health insurance is military. 1 Yes 2 No 9 NIU (not in universe) Other Person Variables -- PERSON Type of health insurance, official universities <svar v="JO04A433 JO04A434 JO04A435 JO04A436 JO04A437" a="all">211. Types of health insurance<br /><div class="i1">[Question 211 was asked of persons who were medically insured, per Question 210.]<br />[] 1 Civilian<br />[] 2 Military<br />[] 4 Official universities<br />[] 8 Private</div><br /><div class="i2">Total _ _</div><br /></svar> Jordan 2004: Persons with medical insurance [discrepancies: none] This variable indicates whether the person's health insurance is from official universities. 1 Yes 2 No 9 NIU (not in universe) Other Person Variables -- PERSON Type of health insurance, private <svar v="JO04A433 JO04A434 JO04A435 JO04A436 JO04A437" a="all">211. Types of health insurance<br /><div class="i1">[Question 211 was asked of persons who were medically insured, per Question 210.]<br />[] 1 Civilian<br />[] 2 Military<br />[] 4 Official universities<br />[] 8 Private</div><br /><div class="i2">Total _ _</div><br /></svar> Jordan 2004: Persons with medical insurance [discrepancies: none] This variable indicates whether the person's health insurance is private. 1 Yes 2 No 9 NIU (not in universe) Other Person Variables -- PERSON Type of health insurance, total <svar v="JO04A433 JO04A434 JO04A435 JO04A436 JO04A437" a="all">211. Types of health insurance<br /><div class="i1">[Question 211 was asked of persons who were medically insured, per Question 210.]<br />[] 1 Civilian<br />[] 2 Military<br />[] 4 Official universities<br />[] 8 Private</div><br /><div class="i2">Total _ _</div><br /></svar> Jordan 2004: Persons with medical insurance [discrepancies: none] This variable indicates the types of health insurance the person has. 01 Civilian 02 Military 03 Civilian and military 04 Official universities 05 Civilian and official universities 06 Official universities and military 07 Civilian, military and offical universities 08 Private 09 Civilian and private 10 Military and private 11 Civilian, military and private 12 Official universities and private 13 Other 98 Unknown 99 NIU (not in universe) Other Person Variables -- PERSON Nationality <svar v="JO04A438" a="all">212. Nationality _ _ _<br /></svar> Jordan 2004: All persons This variable indicates the person's nationality. 01 Jordanian 02 Arab Asian countries 03 Non-Arab Asian countries 04 Arab African countries 05 Non-Arab African countries 06 Western Europe countries 08 Eastern Europe countries 09 Other Eastern Europe countries 10 American countries 99 Unknown Nativity and Birthplace Variables -- PERSON Has discrete national number <svar v="JO04A439" a="all">213. Has the person discrete national number?<br /><div class="i1">For Jordanians.<br />[] 1 Yes<br />[] 2 No</div><br /></svar> Jordan 2004: Jordonians [discrepancies: none] This variable indicates whether the person has a discrete national number. 1 Yes 2 No 9 NIU (not in universe) Other Person Variables -- PERSON Reason for residence in either Jordan or abroad <svar v="JO04A440" a="all">214. Reason of residence abroad (for Jordanians) and reason of incoming to Jordan (for non-Jordanians)<br /><div class="i1">[] 1 Work<br />[] 2 Study<br />[] 3 Accompaniment<br />[] 4 Tourism<br />[] 5 Treatment<br />[] 6 Other (specify) ____</div><br /></svar> Jordan 2004: Non- Jordanians in Jordan and Jordanians abroad [discrepancies: not verifiable] This variable indicates the reason for residence in either Jordan or abroad. 1 Work 2 Study 3 Accompaniment 4 Tourism 5 Treatment 6 Other 8 Unknown 9 NIU (not in universe) Migration: Global Variables -- PERSON Duration of residence in current place (Jordanians) and in Jordan (non-Jordanians) in years <svar v="JO04A443" a="all">217. Duration of residence in current place (for Jordanians) and in Jordan (for non-Jordanians) in years _ _<br /></svar> Jordan 2004: All persons This variable indicates the person's duration of residence in current place (for Jordanians) and in Jordan (for non- Jordanians). 00 Less than one year 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+ 99 Unknown Migration: Global Variables -- PERSON Has ever been to school <span class="em">Questions 219 to 221: For person 5 years of age and over </span></p> <p><svar v="JO04A445 JO04A446 JO04A447 JO04A448" a="JO04A445">219. Has [name] ever been to school?<br /><div class="i1">For persons 5 years of age and over.<br />[] 1 Yes currently enrolled<br />[] 2 Yes ever enrolled (skip to 222)<br />[] 3 No (skip to 222)</div><br /></svar> Jordan 2004: Persons age 5+ [discrepancies: none] This variable indicates whether the person has ever been to school. 1 Yes currently enrolled 2 Yes previously enrolled 3 No 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Education level attending <svar v="JO04A445 JO04A446 JO04A447 JO04A448" a="JO04A445">219. Has [name] ever been to school?<br /><div class="i1">For persons 5 years of age and over.<br />[] 1 Yes currently enrolled<br />[] 2 Yes ever enrolled (skip to 222)<br />[] 3 No (skip to 222)</div><br /></svar></p> <p><svar v="JO04A446 JO04A448" a="all">221. Stage<br /><div class="i1">[Question 221 was asked of persons age 5+ who were enrolled in school at the time of interview, per Question 219.]<br />[] 1 Basic education<br />[] 2 Vocational apprenticeship<br />[] 3 Secondary<br />[] 4 Intermediate diploma<br />[] 5 B.A, B. Sc<br />[] 6 Higher diploma<br />[] 7 M.A, M.Sc<br />[] 8 Ph.D</div><br /></svar> Jordan 2004: Persons age 5+ who are currently enrolled in school [discrepancies: none] This variable indicates the person's education level. 0 NIU (not in universe) 1 Basic education 2 Vocational apprenticeship 3 Secondary 4 Intermediate diploma 5 B.A., B.Sc 6 Higher Diploma 7 M.A., MSc 8 Ph.D 9 Unknown Education Variables -- PERSON Grade attending <svar v="JO04A445 JO04A446 JO04A447 JO04A448" a="JO04A445">219. Has [name] ever been to school?<br /><div class="i1">For persons 5 years of age and over.<br />[] 1 Yes currently enrolled<br />[] 2 Yes ever enrolled (skip to 222)<br />[] 3 No (skip to 222)</div><br /></svar></p> <p><svar v="JO04A447 JO04A448" a="JO04A447">220. Grade _ _<br />[Question 220 was asked of persons age 5+ who were enrolled in school at the time of interview, per Question 219.]<br /></svar> Jordan 2004: Persons age 5+ who are currently enrolled in school [discrepancies: none] This variable indicates the grade the person is currently enrolled in. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Level and grade of current enrollment <svar v="JO04A445 JO04A446 JO04A447 JO04A448" a="JO04A445">219. Has [name] ever been to school?<br /><div class="i1">For persons 5 years of age and over.<br />[] 1 Yes currently enrolled<br />[] 2 Yes ever enrolled (skip to 222)<br />[] 3 No (skip to 222)</div><br /></svar></p> <p><svar v="JO04A447 JO04A448" a="JO04A447">220. Grade _ _<br />[Question 220 was asked of persons age 5+ who were enrolled in school at the time of interview, per Question 219.]<br /></svar></p> <p><svar v="JO04A446 JO04A448" a="all">221. Stage<br /><div class="i1">[Question 221 was asked of persons age 5+ who were enrolled in school at the time of interview, per Question 219.]<br />[] 1 Basic education<br />[] 2 Vocational apprenticeship<br />[] 3 Secondary<br />[] 4 Intermediate diploma<br />[] 5 B.A, B. Sc<br />[] 6 Higher diploma<br />[] 7 M.A, M.Sc<br />[] 8 Ph.D</div><br /></svar> Jordan 2004: Persons age 5+ who are currently enrolled in school [discrepancies: none] This variable indicates the level and grade of the person's current enrollment. 101 Basic education, grade 1 102 Basic education, grade 2 103 Basic education, grade 3 104 Basic education, grade 4 105 Basic education, grade 5 106 Basic education, grade 6 107 Basic education, grade 7 108 Basic education, grade 8 109 Basic education, grade 9 110 Basic education, grade 10 201 Vocational apprenticeship, grade 1 202 Vocational apprenticeship, grade 2 301 Secondary, grade 1 302 Secondary, grade 2 401 Intermediate Diploma, grade 1 402 Intermediate Diploma, grade 2 501 B.A. B.Sc, year 1 502 B.A. B.Sc, year 2 503 B.A. B.Sc, year 3 504 B.A. B.Sc, year 4 505 B.A. B.Sc, year 5 601 Higher Diploma, year 1 602 Higher Diploma, year 2 701 M.A.MSc, year 1 702 M.A.MSc, year 2 703 M.A.MSc, year 3 801 Ph.D, year 1 802 Ph.D, year 2 803 Ph.D, year 3 998 Unknown 999 NIU (not in universe) Education Variables -- PERSON Educational status <svar v="JO04A449 JO04A450" a="JO04A449">222. Educational status _ _<br /><div class="i1">[Question 222 was asked of persons age 15+.]<br />[] 01 Illiterate (skip to 224)<br />[] 02 Read and write (skip to 224)<br />[] 03 Elementary (skip to 224)<br />[] 04 Preparatory (skip to 224)<br />[] 05 Basic education (skip to 224)<br />[] 06 Vocational apprenticeship (skip to 224)<br />[] 07 Secondary<br />[] 08 Intermediate diploma<br />[] 09 B.A<br />[] 10 Higher diploma<br />[] 11 M.A<br />[] 12 Ph.D</div><br /></svar> Jordan 2004: Persons age 15+ who are not currently attending school [discrepancies: none] This variable indicates the person's educational status. 01 Illiterate 02 Read and write 03 Elementary 04 Preparatory 05 Basic education 06 Vocational apprenticeship 07 Secondary 08 Intermediate diploma 09 B.A. 10 Higher diploma 11 M.A. 12 Ph.D. 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Marital status <svar v="JO04A451" a="all">224. Marital status<br /><div class="i1">[Question 224 was asked of persons age 15+.]<br />[] 1 Never married<br />[] 2 Married<br />[] 3 Divorced<br />[] 4 Widowed<br />[] 5 Separated</div><br /></svar> Jordan 2004: Persons age 15+ [discrepancies: none] This variable indicates the person's marital status. 1 Never married 2 Married 3 Divorced 4 Widowed 5 Separated 8 Unknown 9 NIU (not in universe) Demographic Variables -- PERSON Worked during the week that ended in October 1, 2004 <svar v="JO04A452 JO04A462" a="all">225. Did [name] work during the week that ended in October 1st 2004 even for one hour?<br />- In any paid work<br />- In a business completely or partially owned<br />- In a business owned by the household without payment<br />- In any other business<br /><div class="i1">[Question 225 was asked of persons age 15+ about their employment during the week ended in October 1st 2004.]<br />[] 1 Yes (skip to 227)<br />[] 2 No</div><br /></svar> Jordan 2004: Persons age 15+ [discrepancies: none] This variable indicates whether the person worked, even for one hour, during the week that ended in October 1, 2004. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Had a job but did not practice it <svar v="JO04A453 JO04A462" a="JO04A453">226. Had [name] any job, but he did not practice it (was temporarily absent) due to illness, vacation, holiday, travel, reduction in economic activity, temporary breakdown in the establishment during the week ended in October 1st 2004?<br /><div class="i1">[Question 226 was asked of persons age 15+ who did not work during the week ended in October 1st 2004, per Question 225.]<br />[] 1 Yes [skip to 228]<br />[] 2 No [skip to 232]</div><br /></svar> Jordan 2004: Persons age 15+ who did not work [discrepancies: none] This variable indicates whether the person had a job but did not practice it during the week that ended in October 1, 2004. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Total number of hours worked in all jobs <svar v="JO04A454" a="all">227. Total number of hours worked by [name] in all jobs during the week ended in October 1st 2004 _ _<br />[Question 227 was asked of persons age 15+ who worked or were temporarily absent from work during the week ended in October 1st 2004, per Questions 225 and 226.]<br /></svar> Jordan 2004: Persons age 15+ who worked during last week prior to census [discrepancies: none] This variable indicates the total number of hours worked in all jobs during the week that ended in October 1, 2004. 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 96 96 97 97+ 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Type of establishment in which the person works <svar v="JO04A455" a="all">228. Name of establishment in which the person works ____<br />[Question 228 was asked of persons age 15+ who worked or were temporarily absent from work during the week ended in October 1st 2004, per Questions 225 and 226.]<br /></svar> Jordan 2004: Persons age 15+ who worked or were temporarily absent from work [discrepancies: none] This variable indicates the type of establishment in which the person worked. 1 Public 2 Private 3 Other 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Major current economic activity of the establishment <svar v="JO04A456" a="all">229. Major current economic activity of the establishment _ _ _ _<br />[Question 229 was asked of persons age 15+ who worked or were temporarily absent from work during the week ended in October 1st 2004, per Questions 225 and 226.]<br /></svar> Jordan 2004: Persons age 15+ who worked or were temporarily absent from work [discrepancies: none] This variable indicates the major current economic activity of the establishment (i.e. the industry) the person works in. 0111 Growing of cereals and other crops n.e.c. 0112 Growing of vegetables, horticultural specialties and nursery products 0113 Growing of fruit, nuts, beverage and spice crops 0121 Farming of cattle, sheep, goats, horses, asses, mules and hinnies; dairy farming 0122 Other animal farming; production of animal products n.e.c. 0140 Agricultural and animal husbandry service activities, except veterinary activities 1410 Quarrying of stone, sand and clay 1421 Mining of chemical and fertilizer minerals 1422 Extraction of salt 1511 Production, processing and preserving of meat and meat products 1513 Processing and preserving of fruit and vegetables 1514 Manufacture of vegetable and animal oils and fats 1520 Manufacture of dairy products 1531 Manufacture of grain mill products 1533 Manufacture of prepared animal feeds 1541 Manufacture of bakery products 1543 Manufacture of cocoa, chocolate and sugar confectionery 1544 Manufacture of macaroni, noodles, couscous and similar farinaceous products 1549 Manufacture of other food products n.e.c. 1554 Manufacture of soft drinks; production of mineral waters 1600 Manufacture of tobacco products 1711 Preparation and spinning of textile fibres; weaving of textiles 1712 Finishing of textiles 1722 Manufacture of carpets and rugs 1730 Manufacture of knitted and crocheted fabrics and articles 1810 Manufacture of wearing apparel, except fur apparel 1911 Tanning and dressing of leather 1912 Manufacture of luggage, handbags and the like, saddlery and harness 1920 Manufacture of footwear 2023 Manufacture of wooden containers 2101 Manufacture of pulp, paper and paperboard 2102 Manufacture of corrugated paper and paperboard and of containers of paper and paperboard 2109 Manufacture of other articles of paper and paperboard 2212 Publishing of newspapers, journals and periodicals 2219 Other publishing 2221 Printing 2320 Manufacture of refined petroleum products 2412 Manufacture of fertilizers and nitrogen compounds 2421 Manufacture of pesticides and other agro-chemical products 2422 Manufacture of paints, varnishes and similar coatings, printing ink and mastics 2423 Manufacture of pharmaceuticals, medicinal chemicals and botanical products 2424 Manufacture of soap and detergents, cleaning and polishing preparations, perfumes and toilet preparations 2429 Manufacture of other chemical products n.e.c. 2520 Manufacture of plastics products 2610 Manufacture of glass and glass products 2693 Manufacture of structural non-refractory clay and ceramic products 2694 Manufacture of cement, lime and plaster 2696 Cutting, shaping and finishing of stone 2710 Manufacture of basic iron and steel 2811 Manufacture of structural metal products 2812 Manufacture of tanks, reservoirs and containers of metal 2912 Manufacture of pumps, compressors, taps and valves 2915 Manufacture of lifting and handling equipment 2930 Manufacture of domestic appliances n.e.c. 3130 Manufacture of insulated wire and cable 3311 Manufacture of medical and surgical equipment and orthopaedic appliances 3410 Manufacture of motor vehicles 3430 Manufacture of parts and accessories for motor vehicles and their engines 3610 Manufacture of furniture 3691 Manufacture of jewellery and related articles 3699 Other manufacturing n.e.c. 4010 Production, collection and distribution of electricity 4020 Manufacture of gas; distribution of gaseous fuels through mains 4100 Collection, purification and distribution of water 4510 Site preparation 4520 Building of complete constructions or parts thereof; civil engineering 4530 Building installation 4540 Building completion 5010 Sale of motor vehicles 5020 Maintenance and repair of motor vehicles 5030 Sale of motor vehicle parts and accessories 5050 Retail sale of automotive fuel 5121 Wholesale of agricultural raw materials and live animals 5122 Wholesale of food, beverages and tobacco 5131 Wholesale of textiles, clothing and footwear 5139 Wholesale of other household goods 5143 Wholesale of construction materials, hardware, plumbing and heating equipment and supplies 5150 Wholesale of machinery, equipment and supplies 5190 Other wholesale 5211 Retail sale in non-specialized stores with food, beverages or tobacco predominating 5220 Retail sale of food, beverages and tobacco in specialized stores 5231 Retail sale of pharmaceutical and medical goods, cosmetic and toilet articles 5232 Retail sale of textiles, clothing, footwear and leather goods 5233 Retail sale of household appliances, articles and equipment 5234 Retail sale of hardware, paint and glass 5239 Other retail sale in specialized stores 5240 Retail sale of second-hand goods in stores 5252 Retail sale via stalls and markets 5260 Repair of personal and household goods 5510 Hotels; camping sites and other provision of short-stay accommodation 5520 Restaurants, bars and canteens 6010 Transport via railways 6022 Other non-scheduled passenger land transport 6023 Freight transport by road 6110 Sea and coastal water transport 6210 Scheduled air transport 6302 Storage and warehousing 6304 Activities of travel agencies and tour operators; tourist assistance activities n.e.c. 6309 Activities of other transport agencies 6411 National post activities 6420 Telecommunications 6499 Transpor, storage, and communications, n.e.c. 6511 Central banking 6519 Other monetary intermediation 6599 Other financial intermediation n.e.c. 6603 Non-life insurance 6711 Administration of financial markets 7010 Real estate activities with own or leased property 7111 Renting of land transport equipment 7130 Renting of personal and household goods n.e.c. 7220 Software consultancy and supply 7250 Maintenance and repair of office, accounting and computing machinery 7290 Other computer related activities 7310 Research and experimental development on natural sciences and engineering (NSE) 7411 Legal activities 7412 Accounting, book-keeping and auditing activities; tax consultancy 7414 Business and management consultancy activities 7421 Architectural and engineering activities and related technical consultancy 7430 Advertising 7492 Investigation and security activities 7493 Building-cleaning activities 7494 Photographic activities 7495 Packaging activities 7499 Other business activities n.e.c. 7511 General (Over-all) public service activities 7512 Regulation of the activities of agencies that provide health care, education, cultural services and other social services excluding social security 7513 Regulation of and contribution to more efficient operation of business 7522 Defence activities 7523 Public order and safety activities 7530 Compulsory social security activities 8010 Primary education 8021 General secondary education 8022 Technical and vocational secondary education 8030 Higher education 8090 Adult and other education 8511 Hospital activities 8512 Medical and dental practice activities 8519 Other human health activities 8532 Social work without accommodation 9000 Sewage and refuse disposal, sanitation and similar activities 9112 Activities of professional organizations 9120 Activities of trade unions 9191 Activities of religious organizations 9211 Motion picture and video production and distribution 9213 Radio and television activities 9219 Other entertainment activities n.e.c. 9220 News agency activities 9232 Museums activities and preservation of historical sites and buildings 9241 Sporting activities 9249 Other recreational activities 9301 Washing, and (dry-) cleaning of textile and fur products 9302 Hairdressing and other beauty treatment 9309 Other service activities n.e.c. 9500 Private households with employed persons 9900 Extra-territorial organizations and bodies 9950 Industry response suppressed 9998 Unknown 9999 NIU (not in universe) Work: Industry Variables -- PERSON Major current occupation (3-digit) <svar v="JO04A457 JO04A464" a="all">230. Major current occupation _ _ _ _<br />[Question 230 was asked of persons age 15+ who worked or were temporarily absent from work during the week ended in October 1st 2004, per Questions 225 and 226.]<br /></svar> Jordan 2004: Persons age 15+ who worked or were temporarily absent from work [discrepancies: none] This variable indicates the person's major current occupation in 3 digits. 131 Managers of small enterprises 199 Legislators, officials and managers not elsewhere classified 211 Physicists, chemists and related professionals 212 Mathematicians, statisticians and related professionals 213 Computing professionals 214 Architects, engineers and related professionals 221 Life science professionals 222 Health professionals (except nursing) 223 Nursing and midwifery professionals 231 College, university and higher education teaching professionals 232 Secondary education teaching professionals 233 Primary and pre-primary education teaching professionals 234 Special education teaching professionals 235 Other teaching professionals 241 Business professionals 242 Legal professionals 243 Archivists, librarians and related information professionals 244 Social science and related professionals 245 Writers and creative or performing artists 246 Religious professionals 311 Physical and engineering science technicians 312 Computer associate professionals 313 Optical and electronic equipment operators 314 Ship and aircraft controllers and technicians 315 Safety and quality inspectors 322 Health associate professionals (except nursing) 323 Nursing and midwifery associate professionals 331 Primary education teaching associate professionals 332 Pre-primary education teaching associate professionals 334 Other teaching associate professionals 341 Finance and sales associate professionals 342 Business services agents and trade brokers 343 Administrative associate professionals 344 Customs, tax and related government associate professionals 346 Social work associate professionals 347 Artistic, entertainment and sports associate professionals 348 Religious associate professionals 399 Associate professionals not elsewhere classified 411 Secretaries and keyboard-operating clerks 412 Numerical clerks 413 Material-recording and transport clerks 414 Library, mail and related clerks 419 Other office clerks 421 Cashiers, tellers and related clerks 422 Client information clerks 511 Travel attendants and related workers 512 Housekeeping and restaurant services workers 513 Personal care and related workers 514 Other personal services workers 516 Protective services workers 522 Shop, stall and market salespersons and demonstrators 523 Stall and market salespersons 611 Market gardeners and crop growers 612 Animal producers and related workers 711 Miners, shotfirers, stone cutters and carvers 712 Building frame and related trades workers 713 Building finishers and related trades workers 714 Painters, building structure cleaners and related trades workers 721 Metal moulders, welders, sheet-metal workers, structural-metal preparers, and related trades workers 722 Blacksmiths, tool-makers and related trades workers 723 Machinery mechanics and fitters 724 Electrical and electronic equipment mechanics and fitters 731 Precision workers in metal and related materials 732 Potters, glass-makers and related trades workers 734 Craft printing and related trades workers 741 Food processing and related trades workers 742 Wood treaters, cabinet-makers and related trades workers 743 Textile, garment and related trades workers 744 Pelt, leather and shoemaking trades workers 811 Mining- and mineral-processing-plant operators 812 Metal-processing-plant operators 813 Glass, ceramics and related plant operators 814 Wood-processing- and papermaking-plant operators 815 Chemical-processing-plant operators 816 Power-production and related plant operators 821 Metal- and mineral-products machine operators 822 Chemical-products machine operators 823 Rubber- and plastic-products machine operators 825 Printing-, binding- and paper-products machine operators 826 Textile-, fur- and leather-products machine operators 827 Food and related products machine operators 831 Locomotive-engine drivers and related workers 832 Motor-vehicle drivers 833 Agricultural and other mobile-plant operators 911 Street vendors and related workers 913 Domestic and related helpers, cleaners and launderers 914 Building caretakers, window and related cleaners 915 Messengers, porters, doorkeepers and related workers 916 Garbage collectors and related laborers 921 Agricultural, fishery and related laborers 931 Mining and construction laborers 932 Manufacturing laborers 933 Transport labourers and freight handlers 980 Occupation response suppressed 998 Unknown 999 NIU (not in universe) Work: Occupation Variables -- PERSON Employment status <svar v="JO04A458" a="all">231. Employment status<br /><div class="i1">[Question 231 was asked of persons age 15+ who worked or were temporarily absent from work during the week ended in October 1st 2004, per Questions 225 and 226.]<br />[] 1 Paid employee (skip to next person)<br />[] 2 Employer (skip to next person)<br />[] 3 Own-account worker (skip to next person)<br />[] 4 Unpaid family worker (skip to next person) <br />[] 5 Unpaid worker (skip to next person)</div><br /></svar> Jordan 2004: Persons age 15+ who worked or were temporarily absent from work [discrepancies: none] This variable indicates the person's employment status. 1 Paid employee 2 Employer 3 Own-account worker 4 Unpaid family worker 5 Unpaid worker 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Prepared to start the job if offered <svar v="JO04A459" a="all">232. If a job was offered during the 7 days ended in October 1st or in the next 15 days, would [name] be prepared to start the job?<br /><div class="i1">[Question 232 was asked of persons age 15+ who did not work and were also not temporarily absent from work during the week ended in October 1st 2004, per Questions 225 and 226.]<br />[] 1 Yes<br />[] 2 No [skip to 234]</div><br /></svar> Jordan 2004: Persons age 15+ who did not work and were also not temporarily absent from work [discrepancies: none] This variable indicates whether the person was prepared to start the job if it was offered during the 7 days ending in October 1st, 2004 or in the next 15 days. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Actively searched for work <svar v="JO04A460 JO04A462" a="JO04A460">233. Did [name] actively search for work during the 4 weeks ended in October 1st 2004?<br /><div class="i1">[Question 233 was asked of persons age 15+ who did not work and were also not temporarily absent from work, but were prepared to start a job if offered one during the 7 days ended in October 1st 2004 or in the next 15 days, per Questions 225, 226 and 232.]<br />[] 1 Yes [next person]<br />[] 2 No</div><br /></svar> Jordan 2004: Persons age 15+ who did not work and were also not temporarily absent from work, but were prepared to start the job if offered [discrepancies: none] This variable indicates whether the person actively searched for work during the 4 weeks ending in October 1, 2004. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Class of worker <svar v="JO04A461 JO04A462" a="JO04A461">234. The relationship of [name] with major economic activity during the 7 days ended in October 1st 2004<br /><div class="i1">[Question 233 was asked of persons age 15+ who did not work, were also not temporarily absent from work, were not actively searching for work and were not prepared to start a job if offered one during the 7 days ended in October 1st 2004 or in the next 15 days, per Questions 225, 226, 232 and 233.]<br />[] 1 Student<br />[] 2 Housemaker<br />[] 3 With means<br />[] 4 Disabled<br />[] 5 Other (specify) ____</div><br /></svar> Jordan 2004: Persons age 15+ who are not in the labor force [discrepancies: none] This variable indicates the class of worker. 1 Student 2 Housemaker 3 With means 4 Disabled 5 Other 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Economic situation <svar v="JO04A452 JO04A462" a="all">225. Did [name] work during the week that ended in October 1st 2004 even for one hour?<br />- In any paid work<br />- In a business completely or partially owned<br />- In a business owned by the household without payment<br />- In any other business<br /><div class="i1">[Question 225 was asked of persons age 15+ about their employment during the week ended in October 1st 2004.]<br />[] 1 Yes (skip to 227)<br />[] 2 No</div><br /></svar></p> <p><svar v="JO04A453 JO04A462" a="JO04A453">226. Had [name] any job, but he did not practice it (was temporarily absent) due to illness, vacation, holiday, travel, reduction in economic activity, temporary breakdown in the establishment during the week ended in October 1st 2004?<br /><div class="i1">[Question 226 was asked of persons age 15+ who did not work during the week ended in October 1st 2004, per Question 225.]<br />[] 1 Yes [skip to 228]<br />[] 2 No [skip to 232]</div><br /></svar></p> <p><svar v="JO04A460 JO04A462" a="JO04A460">233. Did [name] actively search for work during the 4 weeks ended in October 1st 2004?<br /><div class="i1">[Question 233 was asked of persons age 15+ who did not work and were also not temporarily absent from work, but were prepared to start a job if offered one during the 7 days ended in October 1st 2004 or in the next 15 days, per Questions 225, 226 and 232.]<br />[] 1 Yes [next person]<br />[] 2 No</div><br /></svar></p> <p><svar v="JO04A461 JO04A462" a="JO04A461">234. The relationship of [name] with major economic activity during the 7 days ended in October 1st 2004<br /><div class="i1">[Question 233 was asked of persons age 15+ who did not work, were also not temporarily absent from work, were not actively searching for work and were not prepared to start a job if offered one during the 7 days ended in October 1st 2004 or in the next 15 days, per Questions 225, 226, 232 and 233.]<br />[] 1 Student<br />[] 2 Housemaker<br />[] 3 With means<br />[] 4 Disabled<br />[] 5 Other (specify) ____</div><br /></svar> Jordan 2004: Persons age 15+ [discrepancies: none] This variable indicates the person's employment status. 1 Employed 2 Unemployed 3 Student 4 Housemaker 5 With means 6 Disabled 7 Other 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Kind of handicap <svar v="JO04A029 JO04A030 JO04A463" a=" JO04A029">235. Does any member of the household suffer from any handicap?<br /><div class="i1">[] 1 Yes<br />[] 2 No (skip to section 4)<br />[] 3 Don't know (skip to section 4)<br />[] 4 No answer (skip to section 4)</div><br /></svar></p> <p><svar v="JO04A068 JO04A069 JO04A070 JO04A071 JO04A072 JO04A073 JO04A074 JO04A075 JO04A463" a="all">239. Kind of handicap<br /><div class="i1">[Question 239 was asked of persons who were handicapped, per Question 235.]<br />[] 1 Deaf or dumb<br />[] 2 Physical<br />[] 3 Cerebral palsy<br />[] 4 Mental<br />[] 5 Visual<br />[] 6 Multiple handicap<br />[] 7 Other (specify) ____</div><br /></svar> Jordan 2004: All persons This variable indicates the kind of handicap the person has. 0 Not handicapped 1 Deaf or dumb 2 Physical 3 Cerebral palsy 4 Mental 5 Visual 6 Multiple handicap 7 Other 9 Unknown Disability Variables -- PERSON