1997 Population and Housing Census DDI_IRQ_1997_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. 1997 Population and Housing Census - IPUMS Subset PHC iq1997a (IPUMS Harmonized Subset) IRQ_1997_PHC_v01_M_v7.6_A_IPUMS Republic of Iraq, Board of Ministers, Planning Commission, Central Statistical Organization IPUMS (c) Copyright 1997, Republic of Iraq, Board of Ministers, Planning Commission, Central Statistical Organization and Minnesota Population Center Republic of Iraq, Board of Ministers, Planning Commission, Central Statistical Organization 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 Geography: Global Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Fertility and Mortality Variables -- PERSON Nativity and Birthplace Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Disability Variables -- PERSON Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Utilities Variables -- HOUSEHOLD Geography: F-N Variables -- HOUSEHOLD Migration: Global Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Ethnicity and Language Variables -- PERSON Migration: F-N Variables -- PERSON Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Technical Household Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Demographic Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Dwelling Characteristics Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Geography: Global Variables -- HOUSEHOLD Technical Person Variables -- PERSON Geography: F-N Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Other Person Variables -- PERSON Fertility and Mortality Variables -- PERSON Work Variables -- PERSON Income Variables -- PERSON Nativity and Birthplace Variables -- PERSON Migration: Global Variables -- PERSON Education Variables -- PERSON Disability Variables -- PERSON Ethnicity and Language Variables -- PERSON Work: Industry Variables -- PERSON Work: Occupation Variables -- PERSON October 17, 1997 Iraq Districts (Qadahs) with 20,000+ population combined by IPUMS Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: No - Households: yes - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: The independent structure standing alone whether on the graound or on water, either permanent or temporary and consisting of one or more rooms or of spaces covered with a roof and surrounded by outer walls or walls of separation that extend from the foundation to the roof and the structure may be a house, building, barn of poultry small animals, factory, workshop or a hospital, etc. - Households: One or more individuals sharing dwellings and the provision of food. They may or may not have a joint budget and they may or may not relate to each other or there may be a mixture of the two statuses. Usually the household resides in normal residential units. Some households reside in hotels, hospitals, and monasteries, etc. It takes from these places a permanent dwelling, and it has no other dwelling unit. - Group quarters: The place in which one person or a number of persons reside, either connected by one relationship or one aim or not. They all share the same living facilities and annexes such as the kitchen, the bathroom, the sitting room, and bedroom. This includes the hotels, boarding departments, governmental offices, health establishments, and monasteries, etc. All population inside Iraq and Iraqis abroad Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Iraq 1997 Note: Excludes 3 governorates MICRODATA SOURCE: Republic of Iraq, Board of Ministers, Planning Commission, Central Statistical Organization SAMPLE SIZE (person records): 1944278. SAMPLE DESIGN: Systematic sample of every tenth private dwelling. Drawn by the IPUMS from 100% microdata. Face-to-face [f2f] There are three enumeration forms: 1) basic form for dwelling and population data collection, 2) form for armed and security forces, and 3) form for rural areas both, CENSUS DAY: October 17, 1997 Self-weighted. 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. Republic of Iraq, Board of Ministers, Planning Commission, Central Statistical Organization 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: Iraq, Republic of Iraq, Board of Ministers, Planning Commission, Central Statistical Organization. 1997 Population and Housing Census The licensing agreement for use of IPUMS International data requires that users supply IPUMS International with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation. Copies of such materials are also gratefully received at ipums@umn.edu. Printed matter should be sent to: IPUMS International Minnesota Population Center University of Minnesota 50 Willey Hall 225 19th Avenue South Minneapolis, MN 55455 An adapted version of the dataset, harmonized for international comparability, is available from IPUMS International (https://international.ipums.org/international/) under the following conditions: IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. User-provided description: DOI:10.18128/D020.V7.6 Extract for iq1997a, 2025 IRQ1997_PHC-H-H.dat Household records 265,402 ascii Minnesota Population Center Version 7.5, IPUMS sample IRQ1997_PHC-P-H.dat Person records 1944278 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 Donated household HHDONATE identifies households that were donated during the IPUMS data editing process. 0 Not donated 1 Donated 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 Group quarters type GQTYPE identifies the type of group quarters -- collective dwellings -- which are broadly classified into institutional and non-institutional types. Institutions are a place of residence where people are subject to a common authority or bound by a common objective or personal interest. The definition encompasses correctional facilities, health institutions, retirement homes, orphanages, shelters (social welfare institutions), military or police establishments, boarding schools, and religious group dwellings. Non-institutional group quarters comprise refugee and workers' camps (temporary accommodation), hotels, pensions, and all types of boarding or lodging houses. The "floating population" is included as a category within the non-institutional group quarters, when identified by the corresponding sample. This group refers to outdoor sleepers, homeless persons, travelers, and persons in ships, boats, or other mobile dwellings. A more general classification of households between private and group quarters is available in GQ. 100 Institutional 110 Prisons, reformatories, or correctional institutions 120 Hospital, nursing home, hospice, or instutions for persons with disabilities 121 Institutions for persons with disabilities 122 Sanatorium or mental institutions 130 Homes for the elderly or orphanage 131 Retirement home 132 Orphanage, children's home 140 Shelter for homeless, youth, or others 150 Military or police institution 160 Boarding school or student housing 170 Religious institution, monastery, seminary, or convent 199 Other institutional n.e.c. 200 Non-institutional 210 Camps (refugees, workers, or others) 220 Hotel, pension, lodging, or boarding house 230 Floating population 299 Other non-institutional n.e.c. 300 Other group quarters 399 1-person unit created by splitting large household 998 Unknown 999 NIU (not in universe) 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 Iraq, Governorate 1997 [Level 1; consistent boundaries, GIS] GEO1_IQ identifies the household's province or governorate within Iraq in 1997. Provinces or governorates are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_IQ can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Iraq 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. 368011 Dahuk 368012 Nineveh 368013 Sulaymaniyah 368014 Al-Tameem 368015 Erbil 368021 Diala 368022 Al-Anbar 368023 Baghdad 368024 Babylon 368025 Kerbela 368026 Wasit 368027 Salah Al-Deen 368028 Al-Najaf 368031 Al-Qadisiya 368032 Al-Muthanna 368033 Thi-Qar 368034 Maysan 368035 Al-Basrah Geography: F-N Variables -- HOUSEHOLD Iraq, Governorate 1997 [Level 1, GIS] GEO1_IQ1997 identifies the household's province or governorate within Iraq in 1997. Provinces or governorates are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_IQ1997 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Iraq 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 Dhok 012 Nineveh 013 Al-Sulaimaniya 014 Al-Tameem 015 Arbil 021 Diala 022 Al-Anbar 023 Baghdad 024 Babylon 025 Kerbela 026 Wasit 027 Salah Al-Deen 028 Al-Najaf 031 Al-Qadisiya 032 Al-Muthanna 033 Thi-Qar 034 Maysan 035 Al-Basrah Geography: F-N Variables -- HOUSEHOLD Iraq, District (Qadah) 1997 [Level 2; consistent boundaries, GIS] GEO2_IQ identifies the household's district (qadah) within Iraq in 1997. Districts are the second level administrative units of the country, after governorates. A GIS map (in shapefile format), corresponding to GEO2_IQ can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Iraq 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. 368011001 Dhok Qadah 368011002 Al-Amadiya Qadah 368011003 Zakho Qadah 368011004 Sumail Qadah 368012001 Al-Mosul Qadah 368012003 Al-Hamdaniya Qadah 368012004 Tilkaif Qadah 368012005 Sinjar Qadah 368012006 Telafar Qadah 368012007 Al-Shikhan Qadah 368012008 Al-Hatra Qadah 368012009 Al-Baaj Qadah 368012010 Aqra Qadah 368013000 Sharbazher Qadah 368013001 Al-Sulaimaniya Qadah 368013003 Suddamait Halabcha Qadah 368013005 Pishder Qadah 368013006 Rania Qadah 368013007 Dokan Qadah 368013008 Der Bendi Khan Qadah 368013009 Chamchamal Qadah 368013010 Kalar Qadah 368014001 Kirkuk Qadah 368014002 Al-Hawiga Qadah 368014003 Daquq Qadah 368015001 Arbil Qadah 368015002 Makhmour Qadah 368015004 Al-Siddiq Qadah 368015006 Shaqlawa Qadah 368021001 Baquba Qadah 368021002 Al-Muqdadiya Qadah 368021003 Al-Khalis Qadah 368021004 Khanaqin Qadah 368021005 Bladrooz Qadah 368021006 Kifri Qadah 368022001 Al-Anbar Qadah 368022002 Heet Qadah 368022003 Al-Falluja Qadah 368022004 Ana Qadah 368022005 Haditha Qadah 368022006 AL-Rutba Qadah 368022007 Al-Kaim Qadah 368022008 Suddamait Al-Tharthar Qadah 368023001 Al-Risafa Qadah 368023002 Al-Adhamiya Qadah 368023003 Saddam Qadah 368023005 Al-Karkh Qadah 368023006 Al-Kadhimiya Qadah 368023007 Al-Mahmudiya Qadah 368023008 Abu-Ghraib Qadah 368023010 Al-Madaain Qadah 368024001 Al-Hilla Qadah 368024002 Al-Mahawil Qadah 368024003 Al-Hashimiya Qadah 368024005 Al-Musayab Qadah 368025001 Kerbela Qadah, Ein Al-Tamur Qadah 368025003 Al-Hindiya Qadah 368026001 Al-Kut Qadah, Badra Qadah 368026002 Al-Naamaniya Qadah 368026003 Al-Hai Qadah 368026005 Al-Suwaira Qadah 368027001 Tikrit Qadah 368027002 Tooz Garmato Qadah 368027003 Samarra Qadah 368027004 Balad Qadah 368027005 Beygee Qadah 368027006 Al-Daur Qadah 368027007 Al-Shirqat Qadah 368027008 Al-Faris Qadah 368028001 Al-Najaf Qadah 368028002 Al-Kufa Qadah 368028003 Al-Manathera Qadah 368031001 Al-Diwaniya Qadah 368031002 Afaq Qadah 368031004 Al-Shamiya Qadah 368031005 Al-Hamza Qadah 368032001 Al-Samawa Qadah 368032002 Al-Rumatha Qadah 368032004 Al-khidhir Qadah, Al-Salman Qadah 368033001 Al-Nasiriya Qadah 368033002 Al-Rifai Qadah 368033003 Suq Al-Shoyokh Qadah 368033004 Al-Chibayish Qadah 368033005 Al-Shatra Qadah 368034001 Al-Amara Qadah 368034002 Ali Al-Gharbi Qadah 368034003 Al-Maimouna Qadah 368034004 Qalat Saleh Qadah 368034005 Al-Mejar Al-Kabir Qadah 368034006 Al-Kahla Qadah 368035001 Al-Basrah Qadah 368035002 Abu Al-Khaseeb Qadah 368035003 Al-Zubair Qadah, Al-Fao Qadah 368035004 Al-Qurna Qadah 368035006 Shat Al-Arab Qadah 368035007 Al-Midaina Qadah 368035008 Suddamait Al-Basrah Qadah Geography: F-N Variables -- HOUSEHOLD Iraq, District (Qadah) 1997 [Level 2, GIS] GEO2_IQ1997 identifies the district (qadah) within Iraq in 1997. Districts are the second level administrative units of the country, after governorates. A GIS map (in shapefile format), corresponding to GEO2_IQ1997 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Iraq 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 Dhok Qadah 011002 Al-Amadiya Qadah 011003 Zakho Qadah 011004 Sumail Qadah 012001 Al-Mosul Qadah 012003 Al-Hamdaniya Qadah 012004 Tilkaif Qadah 012005 Sinjar Qadah 012006 Telafar Qadah 012007 Al-Shikhan Qadah 012008 Al-Hatra Qadah 012009 Al-Baaj Qadah 012010 Aqra Qadah 013001 Al-Sulaimaniya Qadah 013003 Suddamait Halabcha Qadah 013005 Pishder Qadah 013006 Rania Qadah 013007 Dokan Qadah 013008 Der Bendi Khan Qadah 013009 Chamchamal Qadah 013010 Kalar Qadah 014001 Kirkuk Qadah 014002 Al-Hawiga Qadah 014003 Daquq Qadah 015001 Arbil Qadah 015002 Makhmour Qadah 015004 Al-Siddiq Qadah 015006 Shaqlawa Qadah 021001 Baquba Qadah 021002 Al-Muqdadiya Qadah 021003 Al-Khalis Qadah 021004 Khanaqin Qadah 021005 Bladrooz Qadah 021006 Kifri Qadah 022001 Al-Anbar Qadah 022002 Heet Qadah 022003 Al-Falluja Qadah 022004 Ana Qadah 022005 Haditha Qadah 022006 AL-Rutba Qadah 022007 Al-Kaim Qadah 022008 Suddamait Al-Tharthar Qadah 023001 Al-Risafa Qadah 023002 Al-Adhamiya Qadah 023003 Saddam Qadah 023005 Al-Karkh Qadah 023006 Al-Kadhimiya Qadah 023007 Al-Mahmudiya Qadah 023008 Abu-Ghraib Qadah 023010 Al-Madaain Qadah 024001 Al-Hilla Qadah 024002 Al-Mahawil Qadah 024003 Al-Hashimiya Qadah 024005 Al-Musayab Qadah 025001 Kerbela Qadah, Ein Al-Tamur Qadah 025003 Al-Hindiya Qadah 026001 Al-Kut Qadah, Badra Qadah 026002 Al-Naamaniya Qadah 026003 Al-Hai Qadah 026005 Al-Suwaira Qadah 027001 Tikrit Qadah 027002 Tooz Garmato Qadah 027003 Samarra Qadah 027004 Balad Qadah 027005 Beygee Qadah 027006 Al-Daur Qadah 027007 Al-Shirqat Qadah 027008 Al-Faris Qadah 028001 Al-Najaf Qadah 028002 Al-Kufa Qadah 028003 Al-Manathera Qadah 031001 Al-Diwaniya Qadah 031002 Afaq Qadah 031004 Al-Shamiya Qadah 031005 Al-Hamza Qadah 032001 Al-Samawa Qadah 032002 Al-Rumatha Qadah 032004 Al-khidhir Qadah, Al-Salman Qadah 033001 Al-Nasiriya Qadah 033002 Al-Rifai Qadah 033003 Suq Al-Shoyokh Qadah 033004 Al-Chibayish Qadah 033005 Al-Shatra Qadah 034001 Al-Amara Qadah 034002 Ali Al-Gharbi Qadah 034003 Al-Maimouna Qadah 034004 Qalat Saleh Qadah 034005 Al-Mejar Al-Kabir Qadah 034006 Al-Kahla Qadah 035001 Al-Basrah Qadah 035002 Abu Al-Khaseeb Qadah 035003 Al-Zubair Qadah, Al-Fao Qadah 035004 Al-Qurna Qadah 035006 Shat Al-Arab Qadah 035007 Al-Midaina Qadah 035008 Suddamait Al-Basrah Qadah Geography: F-N Variables -- HOUSEHOLD Ownership of dwelling [general version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 0 NIU (not in universe) 1 Owned 2 Not owned 9 Unknown Household Economic Variables -- HOUSEHOLD Ownership of dwelling [detailed version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 000 NIU (not in universe) 100 Owned 110 Owned, already paid 120 Owned, still paying 130 Owned, constructed 140 Owned, inherited 190 Owned, other 191 Owned, house 192 Owned, condominium 193 Apartment proprietor 194 Shared ownership 200 Not owned 210 Renting, not specified 211 Renting, government 212 Renting, local authority 213 Renting, parastatal 214 Renting, private 215 Renting, private company 216 Renting, individual 217 Renting, collective 218 Renting, joint state and individual 219 Renting, public subsidized 220 Renting, private subsidized 221 Renting, co-tenant 222 Renting, relative of tenant 223 Renting, cooperative 224 Renting, with a job or business 225 Renting, loan-backed habitation 226 Renting, mixed contract 227 Furnished dwelling 228 Sharecropping 230 Subletting 231 Rent to own 239 Renting, other 240 Occupied de facto/squatting 250 Free/usufruct (no cash rent) 251 Free, provided by employer 252 Free, without work or services 253 Free, provided by family or friend 254 Free, private 255 Free, public 256 Free, condemned 257 Free, other 260 Endowment, Waqf (Egypt historical) 290 Not owned, other 999 Unknown Household Economic Variables -- HOUSEHOLD 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 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 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 Bathing facilities BATH indicates whether the household had access to bathing facilities and, in most cases, whether it had exclusive access. 0 NIU (not in universe) 1 No bathing facility 2 Have bathing facility, exclusivity not specified 3 Have bathing facility, exclusive use 4 Have bathing facility, shared use 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD 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 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 Iraq 1997: All households This variable indicates the dwelling number. This is a 7-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Number of persons in household Iraq 1997: All households This variable indicates the number of persons in the household. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 Technical Household Variables -- HOUSEHOLD Dwelling created by splitting apart a large dwelling or household Iraq 1997: All households This variable indicates whether the dwelling was created by splitting apart a large dwelling or household. 0 No problem 1 Yes: households within a large dwelling were split apart into separate dwellings 2 Yes: persons within a large household were split apart into separate dwellings Technical Household Variables -- HOUSEHOLD Urban-rural <svar v="IQ97A032 IQ97A033 IQ97A034 IQ97A035" a="all">1. Governorate ____<br /><br />2. Qadah ____<br /><br />3. Nahiya ____<br /><br />4. Environment<br /><div class="i1">[] 1 Urban<br />[] 2 Rural</div><br /></svar> <svar v="IQ97A035" a="all"><span class="em">4. The Environment:</span><br />Indicated by (x) in the correct square, according to the results of listing and mapping process, if the area is within the boundaries of the city of Baghdad or within the boundaries of municipalities. The sin is put in the square opposite to the word (urban) but if the area is outside the boundaries of the city of Baghdad or the boundaries of municipalities. The sign is put in the square opposite to the word (rural).<br /></svar> Iraq 1997: All households This variable indicates whether the dwelling was located in an urban or rural area. 1 Urban 2 Rural 9 Unknown Geography: F-N Variables -- HOUSEHOLD Number of households in the residential unit <svar v="IQ97A042" a="all">11. Number of households in the residential unit ____<br /></svar> <svar v="IQ97A042" a="all"><span class="em">11. Number of households in the residential unit: </span><br />The numerator has to make sure of number of households in the dwelling according to the household definition. The numerator has to record in the special space indicated the number of the households that dwell in the residential unit. If there is one household in the residential unit it is recorded in the special space No.(1) and if there are two households is recorded No.(2) and so on.<br /></svar> Iraq 1997: Private households [discrepancies: type I 0.3%; type II none] This variable indicates the number of households in the residential unit. 00 NIU (not in universe) 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15+ Constructed Household Variables -- HOUSEHOLD Number of bedrooms <svar v="IQ97A043" a="all">12. Number of bedrooms ____<br /><br />Mark with an [x] the correct answer.<br /></svar> <svar v="IQ97A043" a="all"><span class="em">12. Number of bedrooms:</span><br />This field concerns only houses, flats, mud houses, and caravans. The data concerning this field is not collected from others. The dependable definition for the bedroom is the room which is used for sleeping even it is used basically as a sitting room, dining room, and kitchen or for any other purpose. Recorded in this field the number of rooms used for sleeping. If the household uses two bedrooms, number (2) is put in the space indicated for that and if the household uses (3) bedrooms, number (3) is put in the space indicated for that and so on.<br /></svar> Iraq 1997: Private households [discrepancies: type I trace; type II none] This variable indicates the number of bedrooms in the dwelling -- rooms used for sleeping. 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+ 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Ownership of the residential unit <svar v="IQ97A044" a="all">13. Ownership of the residential unit<br /><br />Private sector<br /><div class="i1">[] 1 Possession<br />[] 2 Rent<br />[] 3 Other</div><br /><br />Government sector<br /><div class="i1">[] 4 Rent<br />[] 5 Other</div><br /></svar> <svar v="IQ97A044" a="all"><span class="em">13. Ownership of the residential unit: </span><br />This field concerns the residential units constructed with bricks, stone, blocks, mud or concrete blocks only. The ownership of the residential unit is limited to constructed unit and not the land.<br />If the ownership of the residential unit depends on the household the sign is put in the square (1) opposite to the word (possession).<br />If the residential unit is rented from the private sector the sign is put in square (2) opposite to the word (rent) and so on. Some residential units are owned by a factory or a private establishment (private sector) and it is rented by its employees or others, the sign is put in square (2) opposite to the word (rent).<br />As for the square that carries number (3) which is opposite to the word (others) is indicated by the sign (x) in the cases that the residential unit of the household is without monthly rent and also for the residential units that belonged to the private sector, for example a household that dwells in a residential unit that is owned by the father of the head of the household or one of his relatives and the household doesn't pay any monthly rent.<br /><span class="pg">[p.7]</span><br />If the residential unit is rented from the governmental sector (general or cooperative) the sign is put in the square (4) opposite to the word (rent). Some of the residential units owned by a factory or a governmental establishment (governmental sector) and it is rented to its employees or other the sign is put in the square (4) opposite to the word (rent) also.<br />As for the square (5) opposite to the word (others) is indicated by the sign (x) in cases that the dwelling of the household is without monthly rent in the residential units owned by the governmental sector, for example a household that dwells in a residential unit owned by a factory, governmental establishment or pious foundation and doesn't pay any rent amount.<br /></svar> Iraq 1997: Private households [discrepancies: type I trace; type II none] This variable indicates the ownership status of the residential unit. 1 Owned, private sector 2 Rent from private sector 3 Other from private sector 4 Rent from government sector 5 Other from government sector 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Size of the rented residential unit <svar v="IQ97A045" a="all">14. Size of the rented residential unit<br /><div class="i1">[] 1 All unit<br />[] 2 One room<br />[] 3 Two rooms<br />[] 4 Three rooms and more</div><br /></svar> <svar v="IQ97A045" a="all"><span class="em">14. The volume of the rented residential unit: </span><br />Indicated by the sign (x) in square (1) in case the household rented the whole residential unit and for square (2) if the household rented one room from the residential unit and so on.<br /></svar> Iraq 1997: Rented households [discrepancies: type I 0.1%; type II none] This variable indicates the number of rooms rented in the residential unit. 1 All unit 2 One room 3 Two rooms 4 Three rooms and more 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Monthly rent (Iraqi Dinar) <svar v="IQ97A046" a="all">15. Monthly rent (I. D.) ____<br /></svar> <svar v="IQ97A046" a="all"><span class="em">15. Monthly rent:</span><br />Monthly rent is recorded by Iraqi Dinar (ID) in the indicated space, if the residential unit is rented either by the governmental or private sector.<br /></svar> Iraq 1997: Rented households [discrepancies: type I 0.1%; type II none] This variable indicates the monthly rent in Iraqi Dinar. IQ97A046 is a 7-digit numeric variable. Codes0 = NIU (not in universe) 999999 = Unknown Top codes:100000 = 100,000+ Household Economic Variables -- HOUSEHOLD Type of residential unit <svar v="IQ97A047 IQ97A048 IQ97A049 IQ97A050 IQ97A051 IQ97A052 IQ97A053 IQ97A054 IQ97A055 IQ97A056 IQ97A057">[The following instructions apply to questions 16 to 26]<br /><span class="h3">Fill for each household living alone in the residential unit, if occupied by more than one household, only one of the households should respond.</span><br /></svar></p> <p><svar v="IQ97A047" a="all">16. Type of residential unit<br /><div class="i1">[] 1 House<br />[] 2 Flat<br />[] 3 Hut<br />[] 4 Tent<br />[] 5 Caravan<br />[] 6 Other</div><br /></svar> <svar v="IQ97A047" a="all"><span class="em">16. Kind of residential unit:</span><br />Indicated by the sign (x) in square opposite to the kind of the residential unit that is occupied by the household for dwelling. If the household dwells a house, a sign is put in the square opposite to the word (house). If the household dwells in a flat the sign is put opposite to the word (flat) but if it is dwells in a mud house or a hut, the sign is put opposite to the word (mud house) or (hut), and so on. If the household dwells in a kind unmentioned in this field the sign is put in the square opposite to the word (others).<br /></svar> Iraq 1997: Private dwellings [discrepancies: type I trace; type II none] This variable indicates the general type of residential unit. 1 House 2 Flat 3 Mud house or hut 4 Tent 5 Caravan 6 Other 8 Unknown 9 NIU (not in universe) Group Quarters Variables -- HOUSEHOLD Wall construction material <svar v="IQ97A047 IQ97A048 IQ97A049 IQ97A050 IQ97A051 IQ97A052 IQ97A053 IQ97A054 IQ97A055 IQ97A056 IQ97A057">[The following instructions apply to questions 16 to 26]<br /><span class="h3">Fill for each household living alone in the residential unit, if occupied by more than one household, only one of the households should respond.</span><br /></svar></p> <p><svar v="IQ97A048" a="all">17. Wall construction material<br /><div class="i1">[] 1 Bricks<br />[] 2 Stone<br />[] 3 Blocks<br />[] 4 Concrete blocks<br />[] 5 Mud<br />[] 6 Other</div><br /></svar> <svar v="IQ97A048" a="all"><span class="em">17. Kind of material used in constructing the walls of the residential unit:</span><br />Indicated by the sign (x) in square opposite to the kind of material used in constructing the walls of the residential unit. If the walls of this unit constructed by bricks a sign is put in the square (1) opposite to the word (bricks) but if the walls are constructed with concrete blocks from ready construction, the sign is put in the square (4) opposite to the phrase (concrete blocks from ready construction). If the walls of the residential unit constructed with more than one material, for example bricks and stone the main material used in constructing the walls of the residential unit is taken for fixing the material used in constructing the walls of the residential unit, the sign (x) is put in the correct square. If the household resides in a residential unit its walls constructed with material not mentioned in the questionnaire the sign (x) is put in the square (6) opposite to the word (others) and so on but if the kind residential unit (in field 16) a tent or a hair house (square 4) the material for construction is not indicated in this field.<br />Note: Field (18) is limited only on the residential units constructed with bricks or stone or block or concrete blocks from ready construction or mud and the data is not collected from huts, tents, hair houses and the like.<br /></svar> Iraq 1997: Private dwellings [discrepancies: type I trace; type II none] This variable indicates the construction material used for the walls of the residential unit. 1 Bricks 2 Stone 3 Blocks 4 Concrete blocks 5 Mud 6 Other 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Total number of rooms <svar v="IQ97A047 IQ97A048 IQ97A049 IQ97A050 IQ97A051 IQ97A052 IQ97A053 IQ97A054 IQ97A055 IQ97A056 IQ97A057">[The following instructions apply to questions 16 to 26]<br /><span class="h3">Fill for each household living alone in the residential unit, if occupied by more than one household, only one of the households should respond.</span><br /></svar></p> <p><svar v="IQ97A049" a="all">18. Total number of rooms in the residential unit ____<br /></svar> <svar v="IQ97A049" a="all"><span class="em">18. The total number of the rooms in the residential unit:</span><br />The total number of the rooms in the residential unit is recorded in number and it depends on specifying the room to the definition of a room. If the residential unit has five rooms, number (5) is put in the space indicated for that. The total number of the rooms includes bedrooms, dinning rooms, sitting rooms, study, kitchen and the rooms used for professional purposes or hand work and others. The corridors (hallways), bathrooms and water closets are not considered rooms.<br /></svar> Iraq 1997: Private dwellings [discrepancies: type I 0.1%; type II none] This variable indicates the total number of room in the residential 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+ 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Bathroom in the living unit <svar v="IQ97A047 IQ97A048 IQ97A049 IQ97A050 IQ97A051 IQ97A052 IQ97A053 IQ97A054 IQ97A055 IQ97A056 IQ97A057">[The following instructions apply to questions 16 to 26]<br /><span class="h3">Fill for each household living alone in the residential unit, if occupied by more than one household, only one of the households should respond.</span><br /></svar></p> <p><svar v="IQ97A050" a="all">19. Is there any bathroom in the occupied unit?<br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar></p> <p><svar v="IQ97A050 IQ97A051 IQ97A052" a="IQ97A052">21. Are the bathroom and the water closet in the same place?<br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v="IQ97A050 IQ97A051 IQ97A052 IQ97A053"><span class="em">Is in the residential unit:</span><br /></svar></p> <p><svar v="IQ97A050" a="all"><span class="em">19. Independent bathroom:</span><br />If there is an independent bathroom in the residential unit the sign (x) is put in the square to the word (yes) and if there is no independent bathroom the sign is put in the square opposite to the word (no).<br /></svar> Iraq 1997: Private dwellings [discrepancies: type I trace; type II none] This variable indicates whether there is a bathroom in the living unit. Bathroom in this context is separate from water closet (toilet), which was the subject of a separate question. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Water closet <svar v="IQ97A047 IQ97A048 IQ97A049 IQ97A050 IQ97A051 IQ97A052 IQ97A053 IQ97A054 IQ97A055 IQ97A056 IQ97A057">[The following instructions apply to questions 16 to 26]<br /><span class="h3">Fill for each household living alone in the residential unit, if occupied by more than one household, only one of the households should respond.</span><br /></svar></p> <p><svar v="IQ97A051" a="all">20. Is there any water closet?<br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar></p> <p><svar v="IQ97A050 IQ97A051 IQ97A052" a="IQ97A052">21. Are the bathroom and the water closet in the same place?<br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v="IQ97A050 IQ97A051 IQ97A052 IQ97A053"><span class="em">Is in the residential unit:</span><br /></svar></p> <p><svar v="IQ97A051" a="all"><span class="em">20. Independent water closets:</span><br /> If there are independent water closets in the residential unit the sign (x) is put in the square to the word (yes) and if there are no independent the water closets the sign is put in the square opposite to the word (no).<br /></svar></p> <p><svar v=" IQ97A051 IQ97A052" a="IQ97A052"><span class="em">21. Bathroom and water closets in the same place:</span><br />If there is a bathroom and water closets in the same place in the residential unit the sign (x) is put in the square to the word (yes) and if there is no bathroom and water closets in the same place the sign is put in the square opposite to the word (no).<br /></svar> Iraq 1997: Private dwellings [discrepancies: type I trace; type II none] This variable indicates whether there is water closet in the residential unit. A separate question asked about the presence of a bathroom. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Bathroom and water closet <svar v="IQ97A047 IQ97A048 IQ97A049 IQ97A050 IQ97A051 IQ97A052 IQ97A053 IQ97A054 IQ97A055 IQ97A056 IQ97A057">[The following instructions apply to questions 16 to 26]<br /><span class="h3">Fill for each household living alone in the residential unit, if occupied by more than one household, only one of the households should respond.</span><br /></svar></p> <p><svar v="IQ97A050 IQ97A051 IQ97A052" a="IQ97A052">21. Are the bathroom and the water closet in the same place?<br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v="IQ97A050 IQ97A051 IQ97A052 IQ97A053"><span class="em">Is in the residential unit:</span><br /></svar></p> <p><svar v=" IQ97A051 IQ97A052" a="IQ97A052"><span class="em">21. Bathroom and water closets in the same place:</span><br />If there is a bathroom and water closets in the same place in the residential unit the sign (x) is put in the square to the word (yes) and if there is no bathroom and water closets in the same place the sign is put in the square opposite to the word (no).<br /></svar> Iraq 1997: Private dwellings [discrepancies: type I trace; type II none] This variable indicates whether the residential unit has both bathroom and water closet in the same place. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Kitchen <svar v="IQ97A047 IQ97A048 IQ97A049 IQ97A050 IQ97A051 IQ97A052 IQ97A053 IQ97A054 IQ97A055 IQ97A056 IQ97A057">[The following instructions apply to questions 16 to 26]<br /><span class="h3">Fill for each household living alone in the residential unit, if occupied by more than one household, only one of the households should respond.</span><br /></svar></p> <p><svar v="IQ97A053" a="all">22. Is there any kitchen?<br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v="IQ97A050 IQ97A051 IQ97A052 IQ97A053"><span class="em">Is in the residential unit:</span><br /></svar></p> <p><svar v="IQ97A053" a="all"><span class="em">22. Kitchen:</span><br />If there is a kitchen in the residential unit it is indicated by the sign (x) is put in the square to the word (yes) and if there is no kitchen the sign is put in the square opposite to the word (no).<br /></svar> Iraq 1997: Private dwellings [discrepancies: type I trace; type II none] This variable indicates whether the residential unit has a kitchen. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Electricity <svar v="IQ97A047 IQ97A048 IQ97A049 IQ97A050 IQ97A051 IQ97A052 IQ97A053 IQ97A054 IQ97A055 IQ97A056 IQ97A057">[The following instructions apply to questions 16 to 26]<br /><span class="h3">Fill for each household living alone in the residential unit, if occupied by more than one household, only one of the households should respond.</span><br /></svar></p> <p><svar v="IQ97A054" a="all">23. Is the living unit equipped with electricity?<br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v="IQ97A054" a="all"><span class="em">23. Is the residential unit provided with electricity:</span><br />Indicated by the sign (x) in the correct square, if the residential unit provided with electricity the sign is put in the square opposite to the word (yes) but if it is not provided with electricity the sign is put in the square opposite to the word (no).<br /></svar> Iraq 1997: Private dwellings [discrepancies: type I 0.1%; type II none] This variable indicates whether the living unit has electricity. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Telephone <svar v="IQ97A047 IQ97A048 IQ97A049 IQ97A050 IQ97A051 IQ97A052 IQ97A053 IQ97A054 IQ97A055 IQ97A056 IQ97A057">[The following instructions apply to questions 16 to 26]<br /><span class="h3">Fill for each household living alone in the residential unit, if occupied by more than one household, only one of the households should respond.</span><br /></svar></p> <p><svar v="IQ97A055" a="all">24. Is the living unit equipped with a telephone?<br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v="IQ97A055" a="all"><span class="em">24. Is the residential unit provided with telephone:</span><br />Indicated by the sign (x) in the square opposite to the word (yes), if there is a telephone in the residential unit but if it is not provided with a telephone the sign is put in the square opposite to the word (no).<br /></svar> Iraq 1997: Private dwellings [discrepancies: type I trace; type II none] This variable indicates whether the living unit has telephone. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Source of drinking water <svar v="IQ97A047 IQ97A048 IQ97A049 IQ97A050 IQ97A051 IQ97A052 IQ97A053 IQ97A054 IQ97A055 IQ97A056 IQ97A057">[The following instructions apply to questions 16 to 26]<br /><span class="h3">Fill for each household living alone in the residential unit, if occupied by more than one household, only one of the households should respond.</span><br /></svar></p> <p><svar v="IQ97A056" a="all">25. Source of drinking water in the residential unit<br /><div class="i1">[] 1 Water nets<br />[] 2 Public tap<br />[] 3 Well<br />[] 4 River or waterwheel<br />[] 5 Other</div><br /></svar> <svar v="IQ97A056" a="all"><span class="em">25. The source of drinking water in the residential unit:</span><br />Indicated by the sign (x) in the correct square, for example if the residential unit provided with drinking water from public water net or governmental water net the sign is put in the square (1) opposite to the phrase (public water net or governmental water net). If the residential unit is provided with drinking water from a public tap the sign is put in the square (2) opposite to the phrase (public tap). The public tap means (the tap of the governmental water net that is available in a public place in the district or village that provides a number of residential units). If the residential unit is provided with a drinking water from a well the sign is put in the square number (3) opposite to the word (well). If the residential unit is provided with a drinking water from a river or a stream the sign is put in the square number (4) and if the residential unit is provided with a drinking water from other sources in the questionnaire such as tankers and springs the sign is put in the square number (5) opposite to the word (others).<br /></svar> Iraq 1997: Private dwellings [discrepancies: type I 0.1%; type II none] This variable indicates the source of drinking water in the residential unit. 1 Water nets 2 Public tap 3 Well 4 River or waterwheel 5 Other 8 Unknown 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Waste water <svar v="IQ97A047 IQ97A048 IQ97A049 IQ97A050 IQ97A051 IQ97A052 IQ97A053 IQ97A054 IQ97A055 IQ97A056 IQ97A057">[The following instructions apply to questions 16 to 26]<br /><span class="h3">Fill for each household living alone in the residential unit, if occupied by more than one household, only one of the households should respond.</span><br /></svar></p> <p><svar v="IQ97A057" a="all">26. Drainage of waste water<br /><div class="i1">[] 1 Sewer system<br />[] 2 Septic tank<br />[] 3 Other</div><br /></svar> <svar v="IQ97A057" a="all"><span class="em">26. Sewerage of the residential unit:</span><br />Indicated by the sign (x) in the square opposite to the way of draining the dirty water from the residential unit. If the residential unit connected with the public drainage (it means the public new drainage net) by a drainpipe for draining the dirty water. The sign (x) is put in the square opposite to the word public drainage but if there is a tank for gathering dirty water in the residential unit and it is cleaned continuously, the sign is put in the square opposite to the word (septic tank). If it is drained without the previous ways the sign is put in the square opposite to the word (others).<br /></svar> Iraq 1997: Private dwellings [discrepancies: type I 0.1%; type II none] This variable indicates how the dwelling's waste water is disposed of. 1 Public drainage 2 Setting tank 3 Others 8 Unknown 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Type of dwelling <svar v="IQ97A058" a="all">27. To be filled by people living in establishments (hotels, clinics, prisons, etc.)<br /><div class="i1">[] 1 Hotel or rest house<br />[] 2 Hostels (for students)<br />[] 3 Social care unit<br />[] 4 Medical establishment<br />[] 5 Mosques or churches<br />[] 6 Prisons, police stations<br />[] 7 Residential units (living with non-relatives and hence not a part of the household)<br />[] 8 Others<br /><br />Name of the establishment ____</div><br /></svar> <svar v="IQ97A058" a="all"><span class="em">27. Persons dwell in hotels, boarding departments, health establishments, prisons, monasteries and the like:</span><br />This field is filled by persons and households dwell in hotels, boarding departments, health establishments, prisons, monasteries and the residential units which are occupied by persons and the like. If the person dwells in a hotel or rest house or tourist centre indicated by the sign (x) in the square opposite to the phrase(hotel or rest house or tourist centre) besides writing the name of the hotel or rest house or tourist centre in full in the space indicated for that and this square includes scout camps too.<br />If the person dwells in a boarding section the sign is put in the square opposite to the phrase (boarding section) besides writing the name of the boarding section in full in the space indicated for that.<br />If the person dwells in one of the social care units that includes( juveniles and girls care, aged and crippled care, handicapped care) the sign is put in the square (3) besides writing the name of the care unit in the space indicated for that.<br />If the person dwells in one of the health establishments that include (health rehabilitation centre, protective medical centers, unbalance centers protective cure institutes, allergy health centers, professional health protection, laboratory, dental clinic, city health protection, main health center, branch health centers, hospital, traveling health centers, school health, etc.) the sign is put in the square (4) besides writing the name of the health establishment in the special space for that but if the person dwells in a monasteries (mosques or churches) the sign is put in square (5) with mentioning the name of the mosque or the church in the special space for that.<br />If the person dwells in one of the reformation units that includes adults reformation departments (prisons),youth adults schools, youth rehabilitation schools or any police stations the sign is put in the square (6) opposite to the phrase (adults reformation departments (prisons),youth adults schools, youth rehabilitation schools or any police stations) besides writing the name of the reformation units in the special space indicated for that but if he dwells in others the sign (x) in put in the square (8) opposite to the word (others) with mentioning its type and writing its name in the special space for that, for example municipal sections, pumping stations, the enumerator has to organize a questionnaire and its annexes for those persons and if a household takes one of these places as a permanent residential unit and it has no other place for dwelling, the sign (x) is indicated in the correct square and an independent questioner is organized for this household. In a state of occupying one of the residential units (house, flats, etc.) by a group of persons who are not relatives and they do not form a household (for example a group of students or a group of Arab or Foreigners dwell in a residential unit the sign is put in the square (7) opposite t the phrase residential unit occupied by persons.<br /></svar> Iraq 1997: All households This variable indicates the type of non-private dwelling. 0 Private households 1 Hotel 2 Hostel for students 3 Building for social care 4 Medical establishment 5 Mosque and church 6 Prisons, police stations, etc. 7 Residential units engaged with persons 8 Others 9 Unknown Group Quarters Variables -- HOUSEHOLD Strata Iraq 1997: All households This variable is the strata identifier for the sample. Strata is a constructed variable that is 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 5-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 Residence status: de facto, de jure RESIDENT identifies whether an enumerated person is a household resident or a visitor and whether she or he was present at the time of enumeration. This variable is available only in samples that enumerated both de facto and de jure residents. It can be used to eliminate the double-counting of persons who were enumerated both at their permanent residence and at the residence they were visiting on census night. De jure population: present residents and absent residents. De facto population: present residents and visitors/non-residents. 1 Present resident 2 Absent resident 3 Visitor/non-resident 4 De facto population (present persons) 9 Unknown/missing 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 Polygamous union POLYGAM indicates whether the respondent was in a polygamous union and, in some samples, the number of wives or the rank order of the wife. 00 NIU (not in universe) 01 No, in monogamous union 02 Yes, in polygamous union 03 Man in polygamous union 04 Polygamous man, 2 wives 05 Polygamous man, 3 or more wives 06 Woman in polygamous union 07 Polygamous marriage, 2 wives 08 Polygamous marriage, 3 or more wives 09 First wife 10 Second wife 11 Third or higher order wife 99 Unknown/missing Demographic Variables -- PERSON Age at first marriage or union AGEMARR indicates the person's age at first marriage or consensual union. 00 NIU (not in universe) 10 10 or younger 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 Unknown Demographic Variables -- PERSON Year of first marriage MARRYR reports the year of first marriage. 1887 1887 1888 1888 1889 1889 1890 1890 1891 1891 1892 1892 1893 1893 1894 1894 1895 1895 1896 1896 1897 1897 1898 1898 1899 1899 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 9998 Unknown 9999 NIU (not in universe) Demographic Variables -- PERSON Number of marriages or unions MARRNUM records the number of marital unions the respondent has ever been in. 0 NIU (not in universe) 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8+ 9 Unknown Demographic Variables -- PERSON Year of birth BIRTHYR gives the person's year of birth. 0000 NIU (not in universe) 1628 1628 1629 1629 1630 1630 1631 1631 1634 1634 1635 1635 1636 1636 1637 1637 1638 1638 1639 1639 1640 1640 1641 1641 1642 1642 1643 1643 1644 1644 1645 1645 1646 1646 1647 1647 1648 1648 1649 1649 1650 1650 1651 1651 1652 1652 1653 1653 1654 1654 1655 1655 1656 1656 1657 1657 1658 1658 1659 1659 1660 1660 1661 1661 1662 1662 1663 1663 1664 1664 1665 1665 1666 1666 1667 1667 1668 1668 1669 1669 1670 1670 1671 1671 1672 1672 1673 1673 1674 1674 1675 1675 1676 1676 1677 1677 1678 1678 1679 1679 1680 1680 1681 1681 1682 1682 1683 1683 1684 1684 1685 1685 1686 1686 1687 1687 1688 1688 1689 1689 1690 1690 1691 1691 1692 1692 1693 1693 1694 1694 1695 1695 1696 1696 1697 1697 1698 1698 1699 1699 1700 1700 1701 1701 1702 1702 1703 1703 1704 1704 1705 1705 1706 1706 1707 1707 1708 1708 1709 1709 1710 1710 1711 1711 1712 1712 1713 1713 1714 1714 1715 1715 1716 1716 1717 1717 1718 1718 1719 1719 1720 1720 1721 1721 1722 1722 1723 1723 1724 1724 1725 1725 1726 1726 1727 1727 1728 1728 1729 1729 1730 1730 1731 1731 1732 1732 1733 1733 1734 1734 1735 1735 1736 1736 1737 1737 1738 1738 1739 1739 1740 1740 1741 1741 1742 1742 1743 1743 1744 1744 1745 1745 1746 1746 1747 1747 1748 1748 1749 1749 1750 1750 1751 1751 1752 1752 1753 1753 1754 1754 1755 1755 1756 1756 1757 1757 1758 1758 1759 1759 1760 1760 1761 1761 1762 1762 1763 1763 1764 1764 1765 1765 1766 1766 1767 1767 1768 1768 1769 1769 1770 1770 1771 1771 1772 1772 1773 1773 1774 1774 1775 1775 1776 1776 1777 1777 1778 1778 1779 1779 1780 1780 1781 1781 1782 1782 1783 1783 1784 1784 1785 1785 1786 1786 1787 1787 1788 1788 1789 1789 1790 1790 1791 1791 1792 1792 1793 1793 1794 1794 1795 1795 1796 1796 1797 1797 1798 1798 1799 1799 1800 1800 1801 1801 1802 1802 1803 1803 1804 1804 1805 1805 1806 1806 1807 1807 1808 1808 1809 1809 1810 1810 1811 1811 1812 1812 1813 1813 1814 1814 1815 1815 1816 1816 1817 1817 1818 1818 1819 1819 1820 1820 1821 1821 1822 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1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 9999 Unknown Demographic Variables -- PERSON 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 Children ever born CHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children surviving CHSURV reports the number of children born to a woman who were still living at the time of the census. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of female children ever born CHBORNF indicates the number of female children ever born to a woman. Only live births are counted. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of male children ever born CHBORNM indicates the number of male children ever born to a woman. Only live births are counted. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of female children surviving CHSURVF indicates the number of female children ever born to a woman still living at the time of the census. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of male children surviving CHSURVM indicates the number of male children ever born to a woman still living at the time of the census. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of births last year BIRTHSLYR indicates whether any -- and in most cases how many -- children were born to a woman in the past twelve months. 0 None 1 1 (1 or more) 2 2 3 3 4 4+ 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Mortality status of mother MORTMOT indicates whether the person's biological mother was still living at the time of the census. 1 Alive 2 Dead 7 Does not know 8 Missing 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Mortality status of father MORTFAT indicates whether the person's biological father was still living. 1 Alive 2 Dead 7 Does not know 8 Missing 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Nativity status NATIVITY indicates whether the person was native-born or foreign-born. 0 NIU (not in universe) 1 Native-born 2 Foreign-born 9 Unknown/missing Nativity and Birthplace Variables -- PERSON Country of birth BPLCOUNTRY indicates the person's country of birth. 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11005 British Indian Ocean Territory 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11051 Ethiopia (including Eritrea) 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, other or n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo (Republic of) 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, other or n.s. 13000 Northern Africa 13010 Algeria 13011 Algeria/Tunisia 13020 Egypt 13021 Egypt/Sudan 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, other or n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, other or n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15021 Upper Volta 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15081 Guinea-Bissau and Cape Verde 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15180 Canary Islands 15999 West Africa, other or n.s. 19999 Africa, other or n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21200 St. Croix 21210 St. John 21220 St. Lucia 21230 St Thomas 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21991 Caribbean commonwealth, n.s. 21999 Caribbean, other or n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, other or n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23999 South America, other or n.s. 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 United States 24999 North America, other or n.s. 29999 Americas, other or n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 31999 Eastern Asia, other or n.s. 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32042 India/Pakistan/Bangladesh/Sri Lanka 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32101 Pakistan/Bangladesh 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32999 South-Central Asia, other or n.s. 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33999 South-Eastern Asia, other or n.s. 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34051 Abkhazia 34052 South Ossetia 34060 Iraq 34070 Israel 34071 Israel/Palestine 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34111 West Bank 34112 Gaza Strip 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34991 Middle East 34999 Western Asia, other or n.s. 39999 Asia, other or n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Bulgaria/Greece 41030 Czech Republic/Czechoslovakia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41991 Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia 41992 Central-Eastern Europe 41999 Eastern Europe, other or n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42100 Svalbard and Jan Mayen Islands 42110 Sweden 42120 United Kingdom 42999 Northern Europe, other or n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovina 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43121 Spain/Portugal 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43144 Serbia and Montenegro 43991 Gibraltar/Malta 43992 Portugal/Greece 43993 Italy, Holy See, San Marino 43999 Southern Europe, other or n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxemburg 44022 Belgium/Netherlands/Luxemburg 44030 France 44040 Germany 44042 West Germany 44043 Germany/Austria 44044 Mecklenburg-Schwerin 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44991 Belgium, Denmark, Luxembourg, Netherlands 44999 Western Europe, other or n.s. 49992 European Union 49993 European Union (original 15) 49994 Other European Union (not original 15) 49999 Europe, other or n.s. 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 52999 Melanesia, n.s. 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53060 Federated States of Micronesia 53999 Micronesia, other or n.s. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Western Samoa 54060 Eastern Samoa 54070 Tokelau 54080 Tonga 54090 Tuvalu 54100 Wallis and Futuna Isls. 54999 Polynesia, other or n.s. 55000 U.S. Pacific Possessions 55010 American Samoa 55020 Baker Island 55030 Guam 55040 Howland Island 55050 Johnston Atoll 55060 Kingman Reef 55070 Midway Islands 55080 Wake Island 55999 US Pacific, other or n.s. 59999 Oceania, other or n.s. 80000 AT SEA 90000 Other countries n.s. 99999 Unknown Nativity and Birthplace 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 Governorate of birth, Iraq BPLIQ indicates the person's governorate of birth within Iraq. 11 Dhok 12 Nineveh 13 Al-Sulaimaniya 14 Al-Tameem 15 Arbil 21 Diala 22 Al-Anbar 23 Baghdad 24 Babylon 25 Kerbela 26 Wasit 27 Salah Al-Deen 28 Al-Najaf 31 Al-Qadisiya 32 Al-Muthanna 33 Thi-Qar 34 Maysan 35 Al-Basrah 90 Other countries 99 Unknown Nativity and Birthplace Variables -- PERSON Language spoken, Iraq This variable describes the local or foreign language spoken by the respondent. There were no instructions regarding how to report multiple languages. 00 NIU (not in universe) 01 Al-Arabia 02 Al-Kurdia 03 Al-Turkomania 04 Al-Armania 05 Al-Syriania 06 Al-Chaldeania 07 Other local language 08 English 09 French 10 Russian 11 German 12 TurKish 13 Persian 14 Chineas 15 Polanies 16 Hingarian 17 Japanies 18 Italian 19 Spanish 20 Bulgaria 21 Afghanistan 22 Pakistan 98 Other foreign language 99 Unknown Ethnicity and Language 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, Iraq EDUCIQ indicates the highest level of schooling in Iraq the person had completed at the time of the census. 00 No certificate 10 Primary 20 Lower secondary 30 Upper secondary 31 Upper secondary, academic 32 Upper secondary, vocational 40 Post-secondary 41 Post-secondary technical 42 College or university degree 43 High diploma 44 Masters degree 45 Doctoral degree 98 Unknown 99 NIU (not in universe) 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-1968, 3-digit ISCO68A provides the 3-digit occupation code for the respondent using the ISCO-1968 occupation classification. 011 Chemists 012 Physicists 013 Physical scientists not elsewhere classified 014 Physical science technicians 021 Architects and town planners 022 Civil engineers 023 Electrical and electronics engineers 024 Mechanical engineers 025 Chemical engineers 026 Metallurgists 027 Mining engineers 028 Industrial engineers 029 Engineers not elsewhere classified 031 Surveyors 032 Draughtsmen 033 Civil engineering technicians 034 Electrical and electronics engineering technicians 035 Mechanical engineering technicians 036 Chemical engineering technicians 037 Metallurgical technicians 038 Mining technicians 039 Engineering technicians not elsewhere classified 041 Aircraft pilots, navigators and flight engineers 042 Ships' deck officers and pilots 043 Ships' engineers 049 Aircraft and ships officers, n.e.c. 051 Biologists, zoologists and related scientists 052 Bacteriologists, pharmacologists and related scientists 053 Agronomists and related scientists 054 Life sciences technicians 059 Life sciences technicians and related technicians, n.e.c. 061 Medical doctors 062 Medical assistants 063 Dentists 064 Dental assistants 065 Veterinarians 066 Veterinary assistants 067 Pharmacists 068 Pharmaceutical assistants 069 Dietitians and public health nutritionists 071 Professional nurses 072 Nursing personnel not elsewhere classified 073 Professional midwives 074 Midwifery personnel not elsewhere classified 075 Optometrists and opticians 076 Physiotherapists and occupational therapists 077 Medical Xray technicians 079 Medical, dental, veterinary and related workers not elsewhere classified 081 Statisticians 082 Mathematicians and actuaries 083 Systems Analysts 084 Statistical and mathematical technicians 089 Statisticians, mathematicians, systems analysts and related technicians, n.e.c. 090 Economists 099 Other social scientists, n.e.c. 110 Accountants 121 Lawyers 122 Judges 129 Jurists not elsewhere classified 131 University and higher education teachers 132 Secondary education teachers 133 Primary education teachers 134 Preprimary education teachers 135 Special education teachers 139 Teachers not elsewhere classified 141 Ministers of religion and related members of religious orders 149 Workers in religion not elsewhere classified 151 Authors and critics 159 Authors, journalists and related writers not elsewhere classified 161 Sculptors, painters and related artists 162 Commercial artists and designers 163 Photographers and cameramen 169 Sculptors, painters and related artists, n.e.c. 171 Composers, musicians and singers 172 Choreographers and dancers 173 Actors and stage directors 174 Producers, performing arts 175 Circus performers 179 Performing artists not elsewhere classified 180 Athletes, sportsmen and related workers 191 Librarians, archivists and curators 192 Sociologists, anthropologists and related scientists 193 Social workers 194 Personnel and occupational specialists 195 Philologists, translators and interpreters 199 Other professional, technical and related workers 201 Legislative officials 202 Government administrators 211 General managers 212 Production managers (except farm) 219 Managers not elsewhere classified 299 Administrative and managerial, n.e.c. 300 Clerical supervisors 310 Government executive officials 321 Stenographers, typists and teletypists 322 Card and tapepunching machine operators 323 Telex operators 329 Stenegraphers, typists and teletypists, n.e.d. 331 Bookkeepers and cashiers 339 Bookkeepers, cashiers and related workers not elsewhere classified 341 Bookkeeping and calculating machine operators 342 Automatic dataprocessing machine operators 349 Computing machine operators, n.e.c. 351 Railway station masters 352 Postmasters 359 Transport and communications supervisors not elsewhere classified 360 Transport conductors 370 Mail distribution clerks 380 Telephone and telegraph operators 391 Stock clerks 392 Material and production planning clerks 393 Correspondence and reporting clerks 394 Receptionists and travel agency clerks 395 Library and filing clerks 399 Clerks not elsewhere classified 400 Managers (wholesale and retail trade) 410 Working proprietors (wholesale and retail trade) 421 Sales supervisors 422 Buyers 431 Technical salesmen and service advisers 432 Commercial travellers and Manufacturers' agents 439 Technical salesmen, commercial travellers and manufacturers' agents, n.e.c. 441 Insurance, real estate and securities salesmen 442 Business services salesmen 443 Auctioneers 451 Salesmen, shop assistants and demonstrators 452 Street vendors, canvassers and newsvendors 454 Itinerant traders 459 Salesmen, shop assistants and demonstrators, n.e.c. 490 Sales workers not elsewhere classified 500 Managers (catering and lodging services) 510 Working proprietors (catering and lodging services) 520 Housekeeping and related service supervisors 531 Cooks 532 Waiters, bartenders and related workers 540 Maids and related housekeeping service workers not elsewhere classified 551 Building caretakers 552 Charworkers, cleaners and related workers 560 Launderers, drycleaners and pressers 570 Hairdressers, barbers, beauticians and related workers 581 Firefighters 582 Policemen and detectives 589 Protective service workers not elsewhere classified 591 Guides 592 Undertakers and embalmers 599 Other service workers 600 Farm managers and supervisors 611 General farmers 612 Specialised farmers 621 General farm workers 622 Field crop and vegetable farm workers 623 Orchard, vineyard and related tree and shrub crop workers 624 Livestock workers 625 Dairy farm workers 626 Poultry farm workers 627 Nursery workers and gardeners 628 Farm machinery operators 629 Agricultural and animal husbandry workers not elsewhere classified 631 Loggers 632 Forestry workers (except logging) 639 Forestry and loggers, n.e.c. 641 Fishermen 649 Fishermen, hunters and related workers not elsewhere classified 700 Production supervisors and general foremen 711 Miners and quarrymen 712 Mineral and stone treaters 713 Well drillers, borers and related workers 721 Metal smelting, converting and refining furnacemen 722 Metal rollingmill workers 723 Metal melters and reheaters 724 Metal casters 725 Metal moulders and coremakers 726 Metal annealers, temperers and casehardeners 727 Metal drawers and extruders 728 Metal platers and coaters 729 Metal processers not elsewhere classified 731 Wood treaters 732 Sawyers, plywood makers and related woodprocessing workers 733 Paper pulp preparers 734 Paper makers 739 Wood preparation workers and paper makers, n.e.c. 741 Crushers, grinders and mixers 742 Cookers, roasters and related heattreaters 743 Filter and separator operators 744 Still and reactor operators 745 Petroleum refining workers 749 Chemical processers and related workers not elsewhere classified 751 Fibre preparers 752 Spinners and winders 753 Weaving and knittingmachine setters and patterncard preparers 754 Weavers and related workers 755 Knitters 756 Bleachers, dyers and textile product finishers 759 Spinners, weavers, knitters, dyers and related workers not elsewhere classified 761 Tanners and fellmongers 762 Pelt dressers 769 Tanners, fellmongers and pelt dressers, n.e.c. 771 Grain millers and related workers 772 Sugar processers and refiners 773 Butchers and meat preparers 774 Food preservers 775 Dairy product processers 776 Bakers, pastrycooks and confectionery makers 777 Tea, coffee and cocoa preparers 778 Brewers, wine and beverage makers 779 Food and beverage processers not elsewhere classified 781 Tobacco preparers 782 Cigar makers 783 Cigarette makers 789 Tobacco preparers and tobacco product makers not elsewhere classified 791 Tailors and dressmakers 792 Fur tailors and related workers 793 Milliners and hatmakers 794 Patternmakers and cutters 795 Sewers and embroiderers 796 Upholsterers and related workers 799 Tailors, dressmakers, sewers, upholsterers and related workers not elsewhere classified 801 Shoemakers and shoe repairers 802 Shoe cutters, lasters, sewers and related workers 803 Leather goods makers 811 Cabinetmakers 812 Woodworking machine operators 819 Cabinetmakers and related woodworkers not elsewhere classified 820 Stone cutters and carvers 831 Blacksmiths, hammersmiths and forgingpress operators 832 Toolmakers, metal patternmakers and metal markers 833 Machinetool setteroperators 834 Machinetool operators 835 Metal grinders, polishers and tool sharpeners 839 Blacksmiths, toolmakers and machinetool operators not elsewhere classified 841 Machinery fitters and machine assemblers 842 Watch, clock and precision instrument makers 843 Motor vehicle mechanics 844 Aircraft engine mechanics 849 Machinery fitters, machine assemblers and precision instrument makers (except electrical) not elsewhere classified 851 Electrical fitters 852 Electronics fitters 853 Electrical and electronics equipment assemblers 854 Radio and television repairmen 855 Electrical wiremen 856 Telephone and telegraph installers 857 Electric linemen and cable jointers 859 Electrical fitters and related electrical and electronics workers not elsewhere classified 861 Broadcasting station operators 862 Sound equipment operators and cinema projectionists 871 Plumbers and pipe fitters 872 Welders and flamecutters 873 Sheetmetal workers 874 Structural metal preparers and erectors 879 Other plumbers, welders, sheet metal and structural metal preparers and erectors 880 Jewellery and precious metal workers 891 Glass formers, cutters, grinders and finishers 892 Potters and related clay and abrasive formers 893 Glass and ceramics kilnmen 894 Glass engravers and etchers 895 Glass and ceramics painters and decorators 899 Glass formers, potters and related workers not elsewhere classified 901 Rubber and plastics product makers (except tire makers and tire vulcanisers) 902 Tire makers and vulcanisers 910 Paper and paperboard products makers 921 Compositors and typesetters 922 Printing pressmen 923 Stereotypers and electrotypers 924 Printing engravers (except photoengravers) 925 Photoengravers 926 Bookbinders and related workers 927 Photographic darkroom workers 929 Printers and related workers not elsewhere classified 931 Painters, construction 939 Painters not elsewhere classified 941 Musical instrument makers and tuners 942 Basketry weavers and brush makers 943 Nonmetallic mineral product makers 949 Other production and related workers 951 Bricklayers, stonemasons and tile setters 952 Reinforced concreters, cement finishers and terrazzo workers 953 Roofers 954 Carpenters, joiners and parquetry workers 955 Plasterers 956 Insulators 957 Glaziers 959 Construction workers not elsewhere classified 961 Power generating machinery operators 969 Stationary engine and related equipment operators not elsewhere classified 971 Dockers and freight handlers 972 Riggers and cable splicers 973 Crane and hoist operators 974 Earthmoving and related machinery operators 979 Material handling equipment operators not elsewhere classified 981 Ships' deck ratings, barge crews and boatmen 982 Ships' engineroom ratings 983 Railway engine drivers and firemen 984 Railway brakemen, signalmen and shunters 985 Motor vehicle drivers 986 Animal and animaldrawn vehicle drivers 989 Transport equipment operators not elsewhere classified 990 Labourers not elsewhere classified 995 Armed forces 997 Response suppressed 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 Full-time or part-time work HRSFULL indicates whether the respondent worked full-time or part-time. 0 NIU (not in universe) 1 Part-time 2 Full-time 9 Unknown Work Variables -- PERSON Migration status, 10 years MIGRATE0 indicates the person's place of residence 10 years ago. The first digit records movement across major administrative divisions and countries. The second digit reports movement across minor administrative divisions, for samples in which that detail is available. 00 NIU (not in universe) 10 Same major administrative unit 11 Same major, same minor administrative unit 12 Same minor administrative unit, same house 13 Same minor administrative unit, different house 14 Same major, different minor administrative unit 20 Different major administrative unit 30 Abroad 99 Unknown/missing Migration: Global Variables -- PERSON Migration status, previous residence MIGRATEP indicates whether the person's most recent move (if any) was between minor administrative units, major units, or countries. 00 NIU (not in universe) 10 Same major administrative unit 11 Same major, same minor administrative unit 12 Same major, different minor administrative unit 20 Different major administrative unit 30 Abroad 98 Response suppressed 99 Not reported/missing/unknown Migration: Global Variables -- PERSON Country of residence 10 years ago MIGCTRY0 indicates the person's country of residence 10 years ago. Persons who did not live abroad ten years prior to the census are coded as non-migrants. 00000 NIU (not in universe) 10000 AFRICA 11000 Eastern Africa 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12100 Sao Tome and Principe 12999 Middle Africa, n.s. 13000 Northern Africa 13010 Algeria 13020 Egypt/United Arab Rep. 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13990 Northern Africa, n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15150 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15160 Sierra Leone 15170 Togo 19999 Africa, n.s. 20000 AMERICAS 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21200 St. Croix 21210 St. John 21220 St. Lucia 21230 St. Thomas 21240 St. Vincent and the Grenadines 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21999 Caribbean, n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23990 South America, n.s. 23991 Central and Latin America 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 Saint Pierre and Miquelon 24050 United States 24051 U.S. Outlying Areas and Territories 24999 U.S.A, Canada, Mexico 29999 Americas, n.s. 30000 ASIA 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India, Pakistan, Bangladesh, Sri Lanka 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33040 Indonesia 33050 Laos 33060 Malaysia 33061 Malaysia and Singapore 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34060 Iraq 34070 Israel 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34190 Middle East, not specified 34191 Arabia 34192 Other Arab countries 34199 Gulf countries 39999 Asia, n.s. 40000 EUROPE 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Albania/Bulgaria/Romania 41030 Czech Republic 41031 Czechoslovakia/Yugoslavia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41999 Eastern Europe, n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42110 Sweden 42120 United Kingdom 42199 Scandinavia 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Serbia and Montenegro 43999 Southern Europe, n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxemburg 44022 Benelux (Belgium/Netherlands/Luxemburg) 44030 France 44040 Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 49999 Europe, n.s. 50000 OCEANIA 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51021 New Zealand/New Guinea 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53999 Micronesia, n.e.c. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Samoa 54060 Tokelau 54070 Tonga 54080 Tuvalu 54090 Wallis and Futuna Isls. 59999 Oceania, n.s. 60000 OTHER, unspecified or unclassifiable 90000 Non-migrants (International) 99998 Response suppressed 99999 UNKNOWN Migration: Global Variables -- PERSON Country of previous residence MIGCTRYP indicates the country of previous residence of international migrants. Persons who never lived abroad are coded to the "non-migrant" category. 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12100 Sao Tome and Principe 12999 Middle Africa, n.s. 13000 Northern Africa 13010 Algeria 13020 Egypt/United Arab Rep. 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13990 Northern Africa, n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15150 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15160 Sierra Leone 15170 Togo 19999 Africa, n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21200 St. Croix 21210 St. John 21220 St. Lucia 21230 St. Thomas 21240 St. Vincent and the Grenadines 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21999 Caribbean, n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23990 South America, n.s. 23991 Central and Latin America 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 Saint Pierre and Miquelon 24050 United States 24051 U.S. Outlying Areas and Territories 24999 U.S.A, Canada, Mexico 29999 Americas, n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33061 Malaysia and Singapore 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34060 Iraq 34070 Israel 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34190 Middle East, not specified 34191 Arabia 34199 Gulf countries 39999 Asia, n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Albania/Bulgaria/Romania 41030 Czech Republic 41031 Czechoslovakia/Yugoslavia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41999 Eastern Europe, n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42110 Sweden 42120 United Kingdom 42199 Scandinavia 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Serbia and Montenegro 43999 Southern Europe, n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxemburg 44022 Benelux (Belgium/Netherlands/Luxemburg) 44030 France 44040 Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 49990 Europe, n.s. 49991 Central and Eastern Europe 49992 European Union 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51021 New Zealand/New Guinea 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53999 Micronesia, n.e.c. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Samoa 54060 Tokelau 54070 Tonga 54080 Tuvalu 54090 Wallis and Futuna Isls. 59999 Oceania, n.s. 60000 Other 60010 Europe, Australia, New Zealand 60020 Asia and Oceania, n.s. 90000 Non-migrants (International) 99998 Response suppressed 99999 Unknown Migration: Global 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 1st subnational geographic level of residence 10 years prior to survey, world [consistent boundaries over time] GEOMIG1_10 indicates the major administrative unit in which the person resided ten years prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of residence ten year ago, to enable comparative analysis of subnational migration. Foreign migrants are coded 097 or 997. Codes for GEOMIG1_10 match the geographic codes in GEOLEV1 (current place of residence). For similar information for different time intervals since migration, see variables GEOMIG1_P, GEOMIG1_1, and GEOMIG1_5. More on migration and geography can be found here. 368001 In residential place of birth [Governorate: Iraq] 368002 In current governate [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] 368099 NIU (not in universe) [Governorate: Iraq] 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] 426001 Butha Buthe [District: Lesotho] 426002 Leribe [District: Lesotho] 426003 Berea [District: Lesotho] 426004 Maseru [District: Lesotho] 426005 Mafeteng [District: Lesotho] 426006 Mohale's Hoek [District: Lesotho] 426007 Quthing [District: Lesotho] 426008 Qacha's Nek [District: Lesotho] 426009 Mokhotlong [District: Lesotho] 426010 Thaba-Tseka [District: Lesotho] 426097 Abroad [District: Lesotho] 426099 NIU [District: Lesotho] 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] 608009 Batanes [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] 686001 Dakar [Region: Senegal] 686002 Ziguinchor [Region: Senegal] 686003 Diourbel [Region: Senegal] 686004 Saint Louis, Louga, Matam [Region: Senegal] 686005 Tambacounda, Kedougou [Region: Senegal] 686006 Kaolack, Fatick, Kaffrine [Region: Senegal] 686007 Thiès [Region: Senegal] 686010 Kolda, Sedhiou [Region: Senegal] 686097 Abroad [Region: Senegal] 686099 NIU (not in universe) [Region: Senegal] 724011 Galicia [Communities & autonomous city: Spain] 724012 Principado de Asturias [Communities & autonomous city: Spain] 724013 Cantabria [Communities & autonomous city: Spain] 724021 País Vasco [Communities & autonomous city: Spain] 724022 Comunidad Foral de Navarra [Communities & autonomous city: Spain] 724023 La Rioja [Communities & autonomous city: Spain] 724024 Aragón [Communities & autonomous city: Spain] 724030 Comunidad de Madrid [Communities & autonomous city: Spain] 724041 Castilla y León [Communities & autonomous city: Spain] 724042 Castilla-La Mancha [Communities & autonomous city: Spain] 724043 Extremadura [Communities & autonomous city: Spain] 724051 Cataluña [Communities & autonomous city: Spain] 724052 Comunidad Valenciana [Communities & autonomous city: Spain] 724053 Islas Baleares [Communities & autonomous city: Spain] 724061 Andalucía [Communities & autonomous city: Spain] 724062 Región de Murcia [Communities & autonomous city: Spain] 724063 Ciudad Autónoma de Ceuta [Communities & autonomous city: Spain] 724064 Ciudad Autónoma de Melilla [Communities & autonomous city: Spain] 724070 Canarias [Communities & autonomous city: Spain] 724090 Other Spanish territories in 1970 [Communities & autonomous city: Spain] 724097 Foreign country [Communities & autonomous city: Spain] 724098 Unknown [Communities & autonomous city: Spain] 724999 NIU (not in universe) [Communities & autonomous city: Spain] 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] 780099 NIU (not in universe) [Region: Trinidad and Tobago] 834001 Dodoma [Region: Tanzania] 834002 Arusha, Manyara [Region: Tanzania] 834003 Kilimanjaro [Region: Tanzania] 834004 Tanga [Region: Tanzania] 834005 Morogoro [Region: Tanzania] 834006 Pwani [Region: Tanzania] 834007 Dar es Salaam [Region: Tanzania] 834008 Lindi [Region: Tanzania] 834009 Mtwara [Region: Tanzania] 834010 Ruvuma [Region: Tanzania] 834011 Iringa, Njombe [Region: Tanzania] 834012 Mbeya [Region: Tanzania] 834013 Singida [Region: Tanzania] 834014 Tabora [Region: Tanzania] 834015 Katavi, Rukwa [Region: Tanzania] 834016 Kigoma [Region: Tanzania] 834019 Geita, Kagera, Mwanza, Shinyanga, Simiyu [Region: Tanzania] 834020 Mara [Region: Tanzania] 834051 Zanzibar North [Region: Tanzania] 834052 Zanzibar South [Region: Tanzania] 834053 Zanzibar Town/West [Region: Tanzania] 834054 Pemba North [Region: Tanzania] 834055 Pemba South [Region: Tanzania] 834097 Abroad [Region: Tanzania] 716000 Bulawayo [Province: Zimbabwe] 716001 Manicaland [Province: Zimbabwe] 716002 Mashonaland Central [Province: Zimbabwe] 716003 Mashonaland East [Province: Zimbabwe] 716004 Mashonaland West [Province: Zimbabwe] 716005 Matabeleland North [Province: Zimbabwe] 716006 Matabeleland South [Province: Zimbabwe] 716007 Midlands [Province: Zimbabwe] 716008 Masvingo [Province: Zimbabwe] 716009 Harare [Province: Zimbabwe] 716097 Abroad [Province: Zimbabwe] 716098 Unknown [Province: Zimbabwe] 716099 NIU (Not in universe) [Province: Zimbabwe] 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 Reason for migration MIGCAUSE indicates the reason why the person moved from their previous place of residence. 00 NIU (not in universe) 10 Work 11 Seeking work 12 Job relocation 13 Job assignment 14 Opportunity 15 Proximity to work 16 Job loss 19 Other work 20 Family move 21 Follow household head 22 Follow spouse 23 Follow relative 24 Marriage of a family member 25 Divorce or separation of a family member 26 Healthcare or age of a family member 27 Death or birth of a family member 29 Other family 30 Education 31 Studies 32 End of education 33 Proximity to education 34 Other education 40 Marriage, divorce, widowhood 41 Marriage or union 42 Divorce or widowhood 50 Insecurity, disaster, or violence 51 War, conflict 52 Violence or insecurity 53 Domestic violence 54 Social or political problems, including security 55 Natural disaster 56 Refugee, reason not specified 57 Asylum seeker, reason not specified 59 Other insecurity, disaster, or violence 60 Personal 61 Age related reasons 62 Quality of life 63 Become independent 69 Other personal 70 Other reason 71 Health 72 Repatriation 73 Retirement 74 House or flat acquisition 75 Housing problems 76 Visiting 77 Ordination 78 Military or institutional housing 79 Other reason, not elsewhere classified 99 Unknown Migration: Global Variables -- PERSON Governorate of previous residence, Iraq; consistent boundaries, GIS MIG1_P_IQ indicates the person's governorate of previous residence in Iraq. 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. 368000 Always lived in residential place of birth 368001 In this governorate 368011 Dahuk 368012 Nineveh 368013 Sulaymaniyah 368014 Al-Tameem 368015 Erbil 368021 Diala 368022 Al-Anbar 368023 Baghdad 368024 Babylon 368025 Kerbela 368026 Wasit 368027 Salah Al-Deen 368028 Al-Najaf 368031 Al-Qadisiya 368032 Al-Muthanna 368033 Thi-Qar 368034 Maysan 368035 Al-Basrah 368097 Other countries 368098 Unknown Migration: F-N Variables -- PERSON Governorate of residence 10 years ago, Iraq; consistent boundaries, GIS MIG1_10_IQ indicates the person's governorate of residence ten years ago in Iraq. 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. 368001 In residential place of birth 368002 In current governate 368011 Dahuk 368012 Nineveh 368013 Sulaymaniyah 368014 Al-Tameem 368015 Erbil 368021 Diala 368022 Al-Anbar 368023 Baghdad 368024 Babylon 368025 Kerbela 368026 Wasit 368027 Salah Al-Deen 368028 Al-Najaf 368031 Al-Qadisiya 368032 Al-Muthanna 368033 Thi-Qar 368034 Maysan 368035 Al-Basrah 368097 Other countries 368098 Unknown 368099 NIU (not in universe) 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 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 Deaf or hearing-impaired DISDEAF indicates whether the person was deaf or had limited hearing. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Mute or speech impaired DISMUTE indicates if the person could not speak or had a significant speech impediment. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Disability affecting lower extremities DISLOWR indicates whether the person lacked use of one or both legs. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Disability affecting upper extremities DISUPPR indicates whether the person lacked full use of at least one arm or hand. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Psychological disability DISPSYC indicates whether the person was disabled due to mental illness. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Person number (within household) Iraq 1997: All persons This variable indicates the person number of the record with the household. 00 Household record 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 Technical Person Variables -- PERSON Residential status <svar v="IQ97A401" a="all">34. Residential status<br /><div class="i1">[] 1 Resident present (permanent)<br />[] 2 Visitor present<br />[] 3 Absent (inside the country)<br />[] 4 Absent (outside the country)<br />[] 5 Prisoner<br />[] 6 Lost</div><br /></svar> <svar v="IQ97A401" a="all"><span class="em">34. The residential status:</span><br />The residential person of a household who dwells permanently in the dwelling and present on the day of the census indicates the sign (x) in the square (1) opposite to the phrase (resident present) but if the person was present temporary on the day of the census (as guest) and he has other residential place indicated by the sign (x) in the square (2) opposite to the phrase (present visitor) but if the person is absent on the census day and he is a permanent resident person from the household the sign is put in the square (3) opposite to the phrase (absent inside Iraq). If the person is absent but he is outside Iraq the sign is put in the square number (4) opposite to the phrase (absent abroad). If one of the persons of a household is a prisoner the sign is put in the square opposite to the word (prisoner) but if the person is lost the sign is put in square (6) opposite to the word (lost). The status of prisoner or lost is appointed as it is informed formally by the government. The head of the household must be permanent resident or absent and he must not be visitor present or prisoner or lost.<br />Note: The persons mentioned below are numerated as permanent with their household on the census day and recorded in the questionnaire with their household and indicated in the square opposite to the phrase (permanent present):<br />1. The census staff, numerators, office supervisors, field supervisors, drivers, etc.<br />2. Individuals of army, police and security forces either enjoying a rotating holiday or help or still in their military units.<br />3. Persons who are absent from their household on census day because of their night jobs in their health establishments, hotels, boarding sections, prisoners, monasteries and the like. For example doctors, nurses, dresser, buildings guards, civil defense, firemen, etc.<br />4. The absent from their household on the census day because of their night jobs, an example for that the factory workers that have night work.<br /><span class="pg">[p.11]</span><br />5. The absent from their household because they work in aircrafts, trains on the census day, for example the captain and the hostess of the airplane and the train driver, etc.<br />6. The absent from their household because they work at sea on the census day such as merchants, sailors, the ships workers and fishermen.<br />7. The absent from their household because they are abroad and their arrivals to the country is expected during a week from the census day.<br />Note: Indicated to the students of the boarding section (this includes the residential unit that is rented by a group pf students for residence) and persons who dwells in hotels, rest house, prisoners in prisons and the like by the sign (x) in square (2) (present visitor) in the field (34) the residential status on the census day.<br /></svar> Iraq 1997: All persons This variable indicates the person's residential status. 1 Resident present 2 Visitor present 3 Absent inside Iraq 4 Absent abroad 5 Prisoner 6 Lost 9 Unknown Other Person Variables -- PERSON Relation to the head of the household <svar v="IQ97A402" a="all">35. Relationship to the head of the household<br /><div class="i1">[] 1 Household head<br />[] 2 Spouse<br />[] 3 Son or daughter<br />[] 4 Daughter/son-in-law<br />[] 5 Grandson/granddaughter<br />[] 6 Parent<br />[] 7 Brother/sister<br />[] 8 Rest of relatives<br />[] 9 Not related</div><br /></svar> <svar v="IQ97A402" a="all"><span class="em">35. The relation of the person with the head of the household:</span><br />Indicated the relation of the person with the head of the household (male or female) in the correct square. If she is his wife or her husband indicated by the sign (x) in the square opposite to the phrase (wife or husband) and if he is (his or her son or daughter) the sign is put in square (3) opposite to the phrase (son or daughter).<br />If it is son or daughter in law indicated by the sign (x) in the square (4) opposite to the phrase(son or daughter in law) but if it is grand son or daughter the sign is put in square (5) opposite to the phrase (grand son or daughter) and this is the same for the squares (6) and (7). If the relation of the person with the head of the household is a relative and is not mentioned in this field as his (grand father or grand mother) or (his cousin) the sign is put in square (8) opposite to the phrase (rest of relatives) and if the person and the head of the household are not relatives a (guest or servant) the sign is put in the square (9) opposite to the phrase (with no relation).<br /></svar> Iraq 1997: All persons This variable indicates the person's relationship to the head of the household. 01 Head of the household 02 Spouse 03 Son or daughter 04 Daughter/son in law 05 Grand son/daughter 06 Parents 07 Brother or sister 08 Other relatives 09 No relatives 99 Unknown Demographic Variables -- PERSON Sex <svar v="IQ97A403" a="all">36. Sex<br /><div class="i1">[] 1 Male<br />[] 2 Female</div><br /></svar> <svar v="IQ97A403" a="all"><span class="em">36. Sex:</span><br />If the person is male indicated by the sign (x) in the square opposite to the word (male) and if it is female the sign is put in the square opposite to the word (female). The numerator has to ask the household about the sex of the person if his name can be used for both male and female.<br /></svar> Iraq 1997: All persons This variable indicates the person's gender. 1 Male 2 Female 9 Unknown Demographic Variables -- PERSON Date of birth: month <svar v="IQ97A404 IQ97A405 IQ97A406" a="all">37. Date of birth<br /><div class="i1">Day ____<br />Month ____<br />Year ____</div><br /></svar> <svar v="IQ97A404 IQ97A405 IQ97A406 IQ97A448" a="all"><span class="em">37. The date of birth:</span><br />Recorded in this field in numbers the date of birth of the person by day, month and year. The numerator has to notice that number (19) is fixed on the field of year means thousands and hundreds. If the person was born in 1945 it is recorded beside number (19) number (45). The numerator has to regard and to work hard in collecting these data accurately especially children and the year of birth and if the name of the month is not available he has to confirm the year of birth only. He does not have to mention the age in years but only does the year of birth. To ensure the accuracy of data he has to go back to the documents available to fix the data of birth and it depends first on the birth certificate then the identification card and if it is not available he depends on army service certificate or nationality certificate or passport and if all these documents are not the same and there is some difference in them the numerator has to estimate the year of birth on the basis of the person appearance and the rest person of the household opinion and to connect the year of birth with national, religious and historical events and the ages of the rest persons of a household.<br /><span class="pg">[p.12]</span><br />Note: If the date of birth in the identification card includes (1/7) in day and month the numerator has to ask the person about the real date of his birth although the day and month (1/7) is available in his identification card. If it is obvious that the person really doesn't know the day and month of his birth the numerator doesn't have to record that and to record the year of birth only.<br /></svar> Iraq 1997: All persons This variable indicates the person's month of birth. 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 Demographic Variables -- PERSON Year of birth <svar v="IQ97A404 IQ97A405 IQ97A406" a="all">37. Date of birth<br /><div class="i1">Day ____<br />Month ____<br />Year ____</div><br /></svar> <svar v="IQ97A404 IQ97A405 IQ97A406 IQ97A448" a="all"><span class="em">37. The date of birth:</span><br />Recorded in this field in numbers the date of birth of the person by day, month and year. The numerator has to notice that number (19) is fixed on the field of year means thousands and hundreds. If the person was born in 1945 it is recorded beside number (19) number (45). The numerator has to regard and to work hard in collecting these data accurately especially children and the year of birth and if the name of the month is not available he has to confirm the year of birth only. He does not have to mention the age in years but only does the year of birth. To ensure the accuracy of data he has to go back to the documents available to fix the data of birth and it depends first on the birth certificate then the identification card and if it is not available he depends on army service certificate or nationality certificate or passport and if all these documents are not the same and there is some difference in them the numerator has to estimate the year of birth on the basis of the person appearance and the rest person of the household opinion and to connect the year of birth with national, religious and historical events and the ages of the rest persons of a household.<br /><span class="pg">[p.12]</span><br />Note: If the date of birth in the identification card includes (1/7) in day and month the numerator has to ask the person about the real date of his birth although the day and month (1/7) is available in his identification card. If it is obvious that the person really doesn't know the day and month of his birth the numerator doesn't have to record that and to record the year of birth only.<br /></svar> Iraq 1997: All persons This variable indicates the person's year of birth. 1897 1897 or earlier 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 9999 Unknown Demographic Variables -- PERSON Marital status <svar v="IQ97A407 IQ97A408 IQ97A409 IQ97A410 IQ97A411 IQ97A412 IQ97A413 IQ97A414 IQ97A415 IQ97A416 IQ97A417"><span class="h3">To be filled by people age 12 and older</span><br /> [Applies to questions 38-45]<br /></svar></p> <p><svar v="IQ97A407" a="all">38. Marital status<br /><div class="i1">[] 1 Never married<br />[] 2 Married<br />[] 3 Divorced<br />[] 4 Widowed</div><br /></svar> <svar v="IQ97A407" a="all"><span class="em">38. Marital status:</span><br />Filled by persons whose ages (12) years and more means they were born in 1985 and the years before without regarding to the sex and the person have one of the marital statuses:<br />1. Never married:<br />Means the person who is not got married before male or female and it is indicated by the sign (x) in square (1) for the one who corresponds this status.<br />2. Married:<br />Male or female who has a marriage certification which is signed before the census day and the bond is still continuing the person is considered married if the marriage bond is still continuing and not dwelling together. There are some cases that if the person has two wives and one of them died or divorced before the census day and the other is still with him, in this case the person is counted as married and not counted as widowed or divorced therefore it is indicated by the sign (x) in square (2) from this field.<br />3. Divorced:<br />Per person male or female married before the census day and the marriage bond was cut before census day according to the Iraqi law even if it is not registries in court. Indicated by the sign (x) in square (3) opposite to the word (divorced). The Christian who are separated from their husbands or wives counted as divorced and indicated by the sign (x) in square (3).<br />4. Widowed:<br />Male or female who got married and their marriage ended before the census day because of the death of the husband or wife and on the census day that person is not connected by other marriage bond the widowed is indicated by the sign (x) in square (4) from this field.<br /></svar> Iraq 1997: Persons age 12+ [discrepancies: type I trace; type II none] This variable indicates the person's marital status. 1 Never married 2 Married 3 Divorced 4 Widowed 8 Unknown 9 NIU (not in universe) Demographic Variables -- PERSON Year of first marriage <svar v="IQ97A407 IQ97A408 IQ97A409 IQ97A410 IQ97A411 IQ97A412 IQ97A413 IQ97A414 IQ97A415 IQ97A416 IQ97A417"><span class="h3">To be filled by people age 12 and older</span><br /> [Applies to questions 38-45]<br /></svar></p> <p><svar v="IQ97A408 IQ97A409"><span class="h3">For married, divorced or widowed persons (both sexes)</span><br /> [Applies to questions 39-40]<br /></svar></p> <p><svar v="IQ97A408" a="all">39. Date of first marriage____<br /></svar> <svar v="IQ97A408" a="all"><span class="em">39. The date of first marriage:</span><br />This field is filled by both sex (male and female) and for all persons married, divorced and widowed those persons indicated to their names in the squares (2, 3, 4) of field (38) and recorded in this field the year of marriage as it is recorded in the legal marriage certificate . If the legal marriage certificate dated in (5/8/1975) number (75) is recorded only in this field beside number (19) fixed in the field itself without recording the day and month.<br /></svar> Iraq 1997: Ever married persons age 12+ [discrepancies: type I trace; type II none] This variable indicates the year of the person's first marriage. 0000 NIU (not in universe) 1887 1887 1890 1890 1892 1892 1895 1895 1896 1896 1897 1897 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 9999 Unknown Demographic Variables -- PERSON Number of marriages <svar v="IQ97A407 IQ97A408 IQ97A409 IQ97A410 IQ97A411 IQ97A412 IQ97A413 IQ97A414 IQ97A415 IQ97A416 IQ97A417"><span class="h3">To be filled by people age 12 and older</span><br /> [Applies to questions 38-45]<br /></svar></p> <p><svar v="IQ97A408 IQ97A409"><span class="h3">For married, divorced or widowed persons (both sexes)</span><br /> [Applies to questions 39-40]<br /></svar></p> <p><svar v="IQ97A409" a="all">40. Number of marriages____<br /></svar> <svar v="IQ97A409" a="all"><span class="em">40. Number of marriages:</span><br />This field is filled for all persons (male or female) those indicated to their names in the squares (2, 3 or 4) from the field (38) and recorded in this field the number of marriages (in number). If the person married to a woman and this marriage ended by divorce then the person got married to a second woman and she was with him till the census day recorded in this field number (2) and if the person has two wives under his protection legally recorded in this field number (2) too but if the person married one time and this wife is under his protection legally or divorced or dead indicated in this field number (1) and so on.<br /></svar> Iraq 1997: Persons age 12+ who ever married [discrepancies: type I trace; type II none] This variable indicates the number of times the person has been married. 0 0 1 1 2 2 3 3 4 4 5 5 6 6+ 9 Unknown Demographic Variables -- PERSON Number of wives <svar v="IQ97A407 IQ97A408 IQ97A409 IQ97A410 IQ97A411 IQ97A412 IQ97A413 IQ97A414 IQ97A415 IQ97A416 IQ97A417"><span class="h3">To be filled by people age 12 and older</span><br /> [Applies to questions 38-45]<br /></svar></p> <p><svar v="IQ97A410" a="all"><span class="h3">For married males only</span><br /><br />41. Number of wives legally under his protection ____<br /></svar> <svar v="IQ97A410" a="all"><span class="em">41. Number of wives legally under his protection (for married males only):</span><br />Means the wife that still practice the marriage life with her husband and the marriage bond between them doesn't end legally for any reason till the census day.<br />This field is filled for the married males only and the numerator has to notice the sex field number (36) and the marital status number (38) before recording the special data concerning the number of wives legally under his protection. If the husband married one wife only we records number (1) in the space indicated for that field but if he is married to more than one wife for example three wives records number (3) and so on.<br /></svar> Iraq 1997: Males age 12+ who are currently married [discrepancies: type I trace; type II none] This variable indicates the number of wives a man had. Divorced wives were not counted. 0 NIU (not in universe) 1 1 2 2 3 3 4 4 9 Unknown Demographic Variables -- PERSON Duration of marriage <svar v="IQ97A407 IQ97A408 IQ97A409 IQ97A410 IQ97A411 IQ97A412 IQ97A413 IQ97A414 IQ97A415 IQ97A416 IQ97A417"><span class="h3">To be filled by people age 12 and older</span><br /> [Applies to questions 38-45]<br /></svar></p> <p><svar v="IQ97A411 IQ97A412 IQ97A413 IQ97A414 IQ97A415 IQ97A416 IQ97A417">[Questions 42 to 45 are for married, divorced and widowed women]<br /></svar></p> <p><svar v="IQ97A411" a="all">42. Duration of marriage<br /><div class="i1">[] Less than one year<br />[] One year and more<br />Number of years ____</div><br /></svar> <svar v="IQ97A411" a="all"><span class="em">42. The duration of marriage:</span><br />Means the length of time when the woman is married legally till the census day (except the years of divorce or being a widow) without recording the months. If the woman is married less than year till the census day indicated by (x) in the special square for that. In case if divorce happens the number of practical years is counted till the formal day of divorce. If the woman is divorced and after a time she got married the duration of marriage is counted (the total of the first marriage years added to it the years of the second marriage) except the time between the first divorce and the second marriage but if there is no divorce happen the time from the marriage till the census day is counted. For example if the woman is married for three years and four months after that she was widowed for a length of time then she got married for the second time for six years and five months till the census day the duration of her marriage life is (9) years only and the months are neglected.<br /></svar> Iraq 1997: Females age 12+ who ever married [discrepancies: type I trace; type II none] This variable indicates the total number of years the person spent in a married state. Years spent in multiple marriages are summed. 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+ 98 Unknown 99 NIU (not in universe) Demographic Variables -- PERSON Number of live-born male children <svar v="IQ97A407 IQ97A408 IQ97A409 IQ97A410 IQ97A411 IQ97A412 IQ97A413 IQ97A414 IQ97A415 IQ97A416 IQ97A417"><span class="h3">To be filled by people age 12 and older</span><br /> [Applies to questions 38-45]<br /></svar></p> <p><svar v="IQ97A411 IQ97A412 IQ97A413 IQ97A414 IQ97A415 IQ97A416 IQ97A417">[Questions 42 to 45 are for married, divorced and widowed women]<br /></svar></p> <p><svar v="IQ97A412 IQ97A413" a="all">43. Total number of live births during married life<br /><div class="i1">Male ____<br />Female ____</div><br /></svar> <svar v="IQ97A412 IQ97A413" a="all"><span class="em">43. Total number of live born children during marriage life:</span><br />Recorded the number of live born (male and female) in numbers in the field specialized for each one of them. Those who were born from the recent marriage or the previous marriage and these two numbers must include the live born those who died after a short time or a long time from their born and this does not include the infant that was born dead or the embryo that falls dead. If the women don't get birth to a live the word (zero) must be put in the space.<br /></svar> Iraq 1997: Females age 12+ who are married, divorced or widowed [discrepancies: type I trace; type II none] This variable indicates the total number of male live births during marriage. 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+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of live-born female children <svar v="IQ97A407 IQ97A408 IQ97A409 IQ97A410 IQ97A411 IQ97A412 IQ97A413 IQ97A414 IQ97A415 IQ97A416 IQ97A417"><span class="h3">To be filled by people age 12 and older</span><br /> [Applies to questions 38-45]<br /></svar></p> <p><svar v="IQ97A411 IQ97A412 IQ97A413 IQ97A414 IQ97A415 IQ97A416 IQ97A417">[Questions 42 to 45 are for married, divorced and widowed women]<br /></svar></p> <p><svar v="IQ97A412 IQ97A413" a="all">43. Total number of live births during married life<br /><div class="i1">Male ____<br />Female ____</div><br /></svar> <svar v="IQ97A412 IQ97A413" a="all"><span class="em">43. Total number of live born children during marriage life:</span><br />Recorded the number of live born (male and female) in numbers in the field specialized for each one of them. Those who were born from the recent marriage or the previous marriage and these two numbers must include the live born those who died after a short time or a long time from their born and this does not include the infant that was born dead or the embryo that falls dead. If the women don't get birth to a live the word (zero) must be put in the space.<br /></svar> Iraq 1997: Females age 12+ who are married, divorced or widowed [discrepancies: type I trace; type II none] This variable indicates the total number of female live births during marriage. 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+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Numbe of male children still alive <svar v="IQ97A407 IQ97A408 IQ97A409 IQ97A410 IQ97A411 IQ97A412 IQ97A413 IQ97A414 IQ97A415 IQ97A416 IQ97A417"><span class="h3">To be filled by people age 12 and older</span><br /> [Applies to questions 38-45]<br /></svar></p> <p><svar v="IQ97A411 IQ97A412 IQ97A413 IQ97A414 IQ97A415 IQ97A416 IQ97A417">[Questions 42 to 45 are for married, divorced and widowed women]<br /></svar></p> <p><svar v="IQ97A414 IQ97A415" a="all">44. Total number of living children<br /><div class="i1">Male ____<br />Female ____</div><br /></svar> <svar v="IQ97A414 IQ97A415" a="all"><span class="em">44. Total number of live children:</span><br />Recorded the number of male and female who are still live (in numbers) and those that the woman got birth to them till the census day either some of them or all of them living or not living with their mother and these two numbers must be no more than the total of the two numbers recorded in the field (34), that means that the number of births male or female in field (44) less or equals the total births male or female in field (43).<br /></svar> Iraq 1997: Females age 12+ who are married, divorced or widowed [discrepancies: type I trace; type II none] This variable indicates the total number of male children still alive to whom a woman gave birth. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of female children still alive <svar v="IQ97A407 IQ97A408 IQ97A409 IQ97A410 IQ97A411 IQ97A412 IQ97A413 IQ97A414 IQ97A415 IQ97A416 IQ97A417"><span class="h3">To be filled by people age 12 and older</span><br /> [Applies to questions 38-45]<br /></svar></p> <p><svar v="IQ97A411 IQ97A412 IQ97A413 IQ97A414 IQ97A415 IQ97A416 IQ97A417">[Questions 42 to 45 are for married, divorced and widowed women]<br /></svar></p> <p><svar v="IQ97A414 IQ97A415" a="all">44. Total number of living children<br /><div class="i1">Male ____<br />Female ____</div><br /></svar> <svar v="IQ97A414 IQ97A415" a="all"><span class="em">44. Total number of live children:</span><br />Recorded the number of male and female who are still live (in numbers) and those that the woman got birth to them till the census day either some of them or all of them living or not living with their mother and these two numbers must be no more than the total of the two numbers recorded in the field (34), that means that the number of births male or female in field (44) less or equals the total births male or female in field (43).<br /></svar> Iraq 1997: Females age 12+ who are married, divorced or widowed [discrepancies: type I trace; type II none] This variable indicates the total number of female children still alive to whom a woman gave birth. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of male live births in the past year <svar v="IQ97A407 IQ97A408 IQ97A409 IQ97A410 IQ97A411 IQ97A412 IQ97A413 IQ97A414 IQ97A415 IQ97A416 IQ97A417"><span class="h3">To be filled by people age 12 and older</span><br /> [Applies to questions 38-45]<br /></svar></p> <p><svar v="IQ97A411 IQ97A412 IQ97A413 IQ97A414 IQ97A415 IQ97A416 IQ97A417">[Questions 42 to 45 are for married, divorced and widowed women]<br /></svar></p> <p><svar v="IQ97A416 IQ97A417" a="all">45. Total number of live births during the period 10/17/1996-10/16/1997<br /><div class="i1">Male ____<br />Female ____</div><br /></svar> <svar v="IQ97A416 IQ97A417" a="all"><span class="em">45. Total number of live born during the period 17/10/1996 to 16/10/1997:</span><br />Recorded the total number of live born (male and female) in the field specialized for each one of them. Those who were born during the previous year to the census day (17/10/1996 to 16/10/1997) and these two numbers include the live born that died after a from their birth and this does not include the infant who was born dead or the embryo that falls dead and if the women doesn't get birth during this period the word (zero) is put in the space.<br /></svar> Iraq 1997: Females age 12+ who are married, divorced or widowed [discrepancies: type I trace; type II none] This variable indicates the total number of male live births a female had in the past one year. 0 might still include some unknowns. 0 0 1 1 2 2 3 3 4 4 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of female live births in the past year <svar v="IQ97A407 IQ97A408 IQ97A409 IQ97A410 IQ97A411 IQ97A412 IQ97A413 IQ97A414 IQ97A415 IQ97A416 IQ97A417"><span class="h3">To be filled by people age 12 and older</span><br /> [Applies to questions 38-45]<br /></svar></p> <p><svar v="IQ97A411 IQ97A412 IQ97A413 IQ97A414 IQ97A415 IQ97A416 IQ97A417">[Questions 42 to 45 are for married, divorced and widowed women]<br /></svar></p> <p><svar v="IQ97A416 IQ97A417" a="all">45. Total number of live births during the period 10/17/1996-10/16/1997<br /><div class="i1">Male ____<br />Female ____</div><br /></svar> <svar v="IQ97A416 IQ97A417" a="all"><span class="em">45. Total number of live born during the period 17/10/1996 to 16/10/1997:</span><br />Recorded the total number of live born (male and female) in the field specialized for each one of them. Those who were born during the previous year to the census day (17/10/1996 to 16/10/1997) and these two numbers include the live born that died after a from their birth and this does not include the infant who was born dead or the embryo that falls dead and if the women doesn't get birth during this period the word (zero) is put in the space.<br /></svar> Iraq 1997: Females age 12+ who are married, divorced or widowed [discrepancies: type I trace; type II none] This variable indicates the total number of female live births a female had in the past one year. 0 might still include some unknowns. 0 0 1 1 2 2 3 3+ 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Labor force status <svar v="IQ97A418 IQ97A419 IQ97A420 IQ97A421 IQ97A422 IQ97A423 IQ97A424 IQ97A425 IQ97A452 IQ97A453"><span class="h3">For persons six years old and more</span><br />[Applies to questions 46-52]<br /></svar></p> <p><svar v="IQ97A418" a="all">46. Labor force information<br /><div class="i1">[] 1 Working<br />[] 2 Unemployed seeking work<br />[] 3 Housewife with part-time work<br />[] 4 Full-time student<br />[] 5 Housewife<br />[] 6 Pensioner<br />[] 7 Have income but not working<br />[] 8 Others</div><br /></svar> <svar v="IQ97A418" a="all"><span class="em">46. Distribution of labor force:</span><br />This field is filled by all persons male or female who are (6) years old it means those who were born in 1991 and less. The purpose of this distribution is to know the economically active population and economically inactive population .<br />The active population includes the persons from both sexes male and female those who provide labor to produce goods and services and this includes working persons and unemployed persons seeking for work. The not active population includes housewives, students full time, persons having income but not working and others such as pensioner, those living on monthly payments from the government or charity establishments or special alliances or those who were unable to work.<br />1. Working<br />Indicated by the sign (x) in the square opposite to the word (working) for each person works daily no less than two hours and a half that means no less than (15) hours during the previous week of the census day (16/10/1997), the sign is also put for each student was working for no less than (15) hours during the previous week of the census day either that work was for his own account or employee with payment in (cash or exchange of goods or services) or unpaid. The same sign is put for each person stopped working the previous week to the census day (16/10/1997) because of sickness or rest holiday or for any reason but he is still connected with his work. It is indicated by the sign (x) in the square opposite to the word (working) for each person connected with a job and he hasn't joined it yet.<br />As for the housewives with part time work the sign is not put for them in this square but we follow the special instructions related to them in item (3).<br />2. Unemployed seeking for work<br />Indicated by the sign (x) in the square opposite to the phrase (Unemployed seeking for work) for each male or female doesn't work in the previous week to the census day (16/10/1997). Previously he has practiced a certain work but he is not connected with any work although he is seriously seeking for it.<br />Indicated in this square also each person unemployed and he had no previous work but he is able to work and seeking for it earnestly such as the newly graduate and others seeking for work for the first time. As for students who are continuing their studies not asked if they are seeking for work or not.<br />3. Housewife with part time work<br />Indicated by the sign (x) in the square opposite to the phrase (housewife with part time work) for female who work part time outside or inside the house for sale purpose such as sewing cloths, knitting manufacturing, food products, pickles, dates honey , etc. besides their housework. The numerator has to regard these cases especially agricultural holdings and livestock. Most of housewives in rural areas wok in agriculture, livestock and manufacturing home made things such as knitting mats and milk dairy besides their housework.<br /><span class="pg">[p.15]</span><br />4. Student full time<br />If the person is student full time and continuing his studies in one of the schools, institutes or colleges and doesn't work indicated by the sign (x) in the square opposite to the phrase (Student full time) this includes persons related to work and left it for studying purposes as a scholarship, fellowship, etc.<br />5. Housewife<br />Indicated by the sign (x) in the square opposite to the word (housewife) for each female whose age is (6) years and more if she is a housewife. The house servants are not included in this field but included in the field (working).<br />6. Pensioner<br />Indicated by the sign (x) in the square opposite to the word (Pensioner) for each person from both sexes previously working and retired from work and receive a pension for his previous work. This person is either work or not during the previous week of the census. This doesn't include the persons who receive pensions of their parents (as pensioner's heirs). The special data of the fields (47-51) is recorded as (occupation, name of the establishment, employment status, and sector and work time). Each pensioner working during the previous week to the census day no less than 2 hours and a half daily that is no less than (15) hours during the week previous to the census day.<br />7. Have income but not working<br />The person that runs his living from an income of an estate or the profits of shares and bonds or from an establishment that he doesn't share in its productive work or from assistance indicated in the square opposite to the phrase (Have income but not working).<br />8. Others<br />Include not working and not seeking for work and not correspond on them the status in the previous items for example the disable person is the person who is unable to work because of age and mental or physical handicapped or he is a person who is able to work but not seeking for it never continuing his studies indicated to the square opposite to the word (others) and this square includes beggars and prisoners.<br />Note: The fields (47-51) are filled for each person at the age of (6) and more who work for an average daily no less than two hours and a half or no less than (15) hours during the week previous to the census day and this includes the students who are working, pensioners who are working and persons who are not employed and seeking for a work but they are previously working, housewives working part-time.<br /></svar> Iraq 1997: Persons age 6+ [discrepancies: type I trace; type II none] This variable indicates the person's employment status. 0 NIU (not in universe) 1 Working 2 Unemployed seeking work 3 Housewife with part time work 4 Full time student 5 Housewife 6 Pensioner 7 Have income but not work 8 Others 9 Unknown Work Variables -- PERSON Occupation <svar v="IQ97A418 IQ97A419 IQ97A420 IQ97A421 IQ97A422 IQ97A423 IQ97A424 IQ97A425 IQ97A452 IQ97A453"><span class="h3">For persons six years old and more</span><br />[Applies to questions 46-52]<br /></svar></p> <p><svar v="IQ97A419 IQ97A453" a="all">47. Main occupation ____<br /></svar> <svar v="IQ97A419 IQ97A453" a="all"><span class="em">47. The main occupation:</span><br />Mentioned the main occupation that the persons practiced who working full time or part time and unemployed persons are seeking for work, students, and housewives working part time and pensioners who are working.<br /><span class="pg">[p.16]</span><br />The main occupation means the nature or type of work that the person practices and spending most of his time fulfilling it. The occupation must be written clearly for example (civil engineer, electric engineer, general surgeon doctor, dentist, etc.).<br />The domestic work of a housewife, students and retirement are not counted as occupation. As for unemployed who are seeking for work indicated the main occupation that they were practicing before.<br />If the person is working in tins factory he has to write the type of the item that is tinned<br /></svar> Iraq 1997: Persons age 6+ who are working either full or part time [discrepancies: type I 0.1%; type II none] This variable indicates the 3-digit occupation of the person. 000 NIU (not in universe) 011 Chemists 012 Physicists 013 Physical scientists not elsewhere classified 014 Physical science technicians 021 Architects and town planners 022 Civil engineers 023 Electrical and electronics engineers 024 Mechanical engineers 025 Chemical engineers 027 Mining engineers 028 Industrial engineers 029 Engineers not elsewhere classified 031 Surveyors 032 Draughts men 033 Civil engineering technicians 034 Electrical and electronics engineering technicians 035 Mechanical engineering technicians 036 Chemical engineering technicians 038 Mining technicians 039 Engineering technicians not elsewhere classified 041 Aircraft pilots navigator and flight engineers 042 Ships deck officers and pilots 043 Ships engineers 052 Bacteriologists, pharmacologists and related scientists 053 Agronomists and related scientists 054 Life sciences technicians 061 Medical doctors 062 Medical and protection assistance 063 Dentists 065 Veterinarians 066 Veterinary assistants 067 Pharmacists 068 Pharmaceutical assistants 071 Professional nurses 074 Midwifery not elsewhere classified 075 Optometrists and opticians 077 Medical x-ray technicians 079 Medical, dental , veterinary and related workers not elsewhere classified 081 Statisticians 083 Systems analysts 084 Computer programmers, machinations and statistical technicians 090 Economists 110 Accountants 121 Lawyers and juror 122 Judges and investigators 129 Jurists not elsewhere classified 131 University and higher education teachers 132 Secondary education teachers 133 Primary education teacher 134 Pre-primary education teachers 135 Special education teachers 139 Teachers not elsewhere classified 140 Workers in religions 159 Authors, journalists and related writers not elsewhere classified 161 Sculptors, painters and related artists 162 Designers and commercial artists 163 Photographers and cameramen 171 Composers, musicians and singers 172 Choreographers and dancers 173 Actors and stage directors 180 Athletes, sportsmen and related workers 191 Librarians, archivists and curators 193 Social workers 194 Personnel and occupational specialist 195 Philologists translators and interpreters 202 Government administrators 211 General managers 212 Production managers (except farm) 219 Managers not elsewhere classified 300 Clerical supervisors 310 Government executive officials 321 Stenographers, typists and teletypists 331 Bookkeepers , cashiers 339 Bookkeepers , cashiers and related workers not elsewhere classified 342 Automatic data processing machine operators 359 Transport and communications supervisors not elsewhere classified 360 Transport conductors 370 Mail distribution clerks 380 Telegraph and telephone operators 391 Stock clerks 392 Material and production planning clerks 393 Correspondence and reporting clerk 394 Receptionists and travel agency clerk 395 Library and filing clerks 399 Clerks not elsewhere classified 400 Managers (wholesale and retail trade) 410 Working proprietors wholesale and retail trade 421 Sales supervisor 422 Buyers 441 Insurance real estate, securities salesmen 442 Business services salesmen 443 Auctioneers 451 Salesmen, shop assistants and demonstrators 452 Street vendors, canvassers and newsvendors 490 Sales workers not elsewhere classified 500 Managers (catering and loading services) 510 Working proprietors (catering and loading services) 531 Cooks 532 Waiters, bartenders 540 Maids and related housekeeping service workers not elsewhere classified 551 Building care takers, cleaners and related workers 560 Launderers, dry-cleaners and pressers 570 Hairdressers, barbers, beauticians and related workers 581 Fire-fighters 582 Policemen and detectives 589 Protective service workers not elsewhere classified 592 Undertakers and embalmers 599 Other service workers 600 Farm managers and supervisors 611 General farmers 612 Specialized farmers 621 General farmer workers 622 Crops and vegetables workers 623 Orchard workers 624 Live stock workers 625 Dairy farm workers 626 Poultry farm workers 627 Gardeners and nursery workers 628 Farm machinery operators 631 Loggers 632 Forestry workers (except logging) 641 Fishermen 649 Fishermen, hunters and related workers not elsewhere classified 700 Production supervisors and heads foremen 713 Well drillers, borers and related workers 725 Metal molders and core makers 734 Paper makers 741 Crushers, grinders and mixers 742 Cookers, roasters and related heat treaters 745 Petroleum refining 749 Chemical processors and related workers not elsewhere classified 751 Fiber preparers 752 Spinners and winders 753 Weaving and knitting-machine setters and pattern-card preparers 754 Weavers and related workers 755 Knitters 756 Bleachers, dyers and textile product finishers 759 Spinners, weavers, knitters, dyers and related workers not elsewhere classified 760 Tanners and fell mongers 771 Grain millers and related workers 772 Sugar processors and refiners 773 Butchers and meat preparers 774 Food preservers 775 Dairy product processors 776 Bakers, pastry cooks and confectionery makers 778 Brewers, wine and beverage makers 779 Food and beverage processors not elsewhere classified 781 Tobacco preparers 783 Cigarette makers 791 Tailors and dressmakers 794 Patternmakers and cutters 795 Sewers and embroiderers 796 Upholsterers and related workers 801 Shoemakers and shoe repairers 802 Shoe cutters, lasters, sewers and related workers 803 Leather goods makers 811 Cabinetmakers 819 Cabinetmakers and related woodworkers not elsewhere classified 831 Blacksmiths, hammer smiths an forging press operator 833 Machine tool setter operator 839 Blacksmiths, toolmakers and machine tool operators not elsewhere classified 841 Machinery fitters and machine assemblers 842 Watch, clock and precision instrument makers 843 Motor vehicle mechanics 849 Machinery fitters, machine assemblers and precision instrument makers (except electrical) not elsewhere classified 851 Electrical fitters 852 Electronics fitters 853 Electrical and electronic equipment assemblers 854 Radio and television repairmen 855 Electrical wiremen 857 Electric linemen and cable jointers 859 Electrical fitters and related electrical and electronics workers not elsewhere classified 871 Plumbers and pipe fitters 872 Welders and flame-cutters 873 Sheet-metal workers 874 Structural metal preparers and erectors 880 Jewelry and precious metal workers 891 Glass formers, cutters, grinders and finishers 892 Potters and related clay and abrasive formers 893 Glass and ceramics kiln men 894 Glass engravers and etchers 895 Glass and ceramics painters and decorators 899 Glass formers, potters and related workers not elsewhere classified 901 Rubber and plastics product makers (except tire makers and tire vulcanizers) 902 Tire makers and vulcanizers 903 Tire makers and tire vulcanizers 921 Compositors and type-setters 922 Printing pressmen 931 Painters, construction 939 Painters not elsewhere classified 942 Basketry weavers and brush makers 943 Non-metallic mineral product makers 949 Other production and related workers 951 Bricklayers, stonemasons and tile setters 952 Reinforced concreters cement finishers and terrazzo workers 954 Carpenters, joiners and parquetry workers 955 Plasterers 957 Glaziers 959 Construction workers not elsewhere classified 969 Stationary engine and related equipment operators not elsewhere classified 971 Dockers and freight handlers 973 Crane and hoist operator 974 Earth-moving and related machinery operator 979 Material handling equipment operators not elsewhere classified 981 Ships deck ratings, barge crews and boatmen 983 Railway engine drivers and firemen 984 Railway brakemen, signalmen and shunters 985 Motor-vehicle drivers 986 Animal and animal-drawn vehicle drivers 989 Transport equipment operator not elsewhere classified 990 Laborers not elsewhere classified 995 Response suppressed 999 Unknown Work: Occupation Variables -- PERSON Industry <svar v="IQ97A418 IQ97A419 IQ97A420 IQ97A421 IQ97A422 IQ97A423 IQ97A424 IQ97A425 IQ97A452 IQ97A453"><span class="h3">For persons six years old and more</span><br />[Applies to questions 46-52]<br /></svar></p> <p><svar v="IQ97A421 IQ97A452" a="all">48. Economic activity ____<br /></svar> <svar v="IQ97A421 IQ97A452" a="all"><span class="em">48. The name of the establishment in which the person is working and the field of practicing the economic activity:</span><br />Mentioned the name of the establishment that the personas working in, if the name leads to the nature of the establishment's work but if the name doesn't lead to the establishments work it must be explained.<br /></svar> Iraq 1997: Persons age 6+ who are working either full or part time [discrepancies: type I 0.1%; type II none] This variable indicates the 3-digit industry of the person. 000 NIU (not in universe) 011 Growing of crops; market gardening; horticulture 012 Farming of animals 013 Growing of crops combined with farming of animals (mixed farming) 014 Agricultural and animal husbandry service activities, except veterinary activities 015 Hunting, trapping and game propagation including related service activities 050 Fishing, operation of fish hatcheries and fish farms; services incidental to fishing 101 Mining and agglomeration of hard coal 111 Extraction of crude petroleum and natural gas 112 Service activities incidental to oil and gas extraction excluding surveying 141 Quarrying of stone , sand and clay 142 Mining and quarrying n.e.c. 151 Production, processing and preservation of meat, fish, fruit, vegetables, oils 7 fats 152 Manufacture of dairy products 153 Manufacture of grain mill products, starches and starch product, and prepared animal feeds 154 Manufacture of other food products 155 Manufacture of beverages 160 Manufacture of tobacco products 171 Spinning, weaving and finishing of textiles 172 Manufacture of other textiles 173 Manufacture of knitted and crocheted fabrics and articles 181 Manufacture of wearing apparel, except fur apparel 182 Dressing and dyeing of fur ; manufacture of articles of fur 191 Tanning and dressing of leather; manufacture of luggage, handbags, saddlery, harness and footwear 192 Manufacture of footwear 201 Sawmilling and planning of wood 202 Manufacture of products of wood, cork, straw and plaiting materials 210 Manufacture of paper and paper products 221 Publishing 222 Printing and service activities related to printing 232 Manufacture of refined petroleum products 233 Processing of nuclear fuel 241 Manufacture of basic chemicals 242 Manufacture of other chemicals products 251 Manufacture of rubber products 252 Manufacture of plastic products 261 Manufacture of glass and glass products 269 Manufacture of non-metallic mineral products n.e.c. 271 Manufacture of basic iron and steel 272 Manufacture of basic precious and non-ferrous metals 273 Casting of metals 281 Manufacture of structural metal products, tanks, reservoirs and steam generators 289 Manufacture of other fabricated metal products; metal working service activities 291 Manufacture of general purpose machinery 292 Manufacture of special purpose machinery 293 Manufacture of domestic appliances n.e.c. 300 Manufacture of office, accounting and computing machinery 311 Manufacture of electric motors, generators and transformers 313 Manufacture of insulated wire and cable 314 Manufacture of accumulators, primary cells and primary batteries 315 Manufacture of electric lamps and lighting equipment 321 Manufacture of electronic valves and tubes and other electronic components 332 Manufacture of optical instruments and photographic equipment 361 Manufacture of furniture 369 Manufacturing n.e.c. 401 Production, collection and distribution of electricity 402 Manufacture of gas; distribution of gaseous fuels through mains 410 Collection, purification and distribution of water 451 Site preparation 452 Building of complete construction or parts thereof; civil engineering 453 Building installation 454 Building completion 501 Sale of motor vehicles 502 Maintenance and repair of motor vehicles 503 Sale of motor vehicle parts and accessories 504 Sale, maintenance and repair of motorcycles and related parts and accessories 505 Retail sale of automotive fuel 511 Wholesale on a fee or contract basis 512 Wholesale of agricultural raw materials, live animals, food, beverages and tobacco 513 Wholesale of household goods 514 Wholesale of non-agricultural intermediate products, waste and scrap 515 Wholesale of machinery, equipment and supplies 519 Other wholesale 521 Non-specialized retail trade in stores 522 Retail sale of food, beverages and tobacco in specialized stores 523 Other retail trade of new goods in specialized stores 524 Retail sale of second-hand goods in stores 525 Retail trade not in stores 526 Repair of personal and household goods 551 Hotels, camping sites and other provision of short-stay accommodation 552 Restaurants, bars and canteens 601 Transport via railways 602 Other land transport 603 Transport via pipelines 611 Sea and coastal water transport 612 Inland water transport 621 Scheduled air transport 630 Supporting and auxiliary transport activities, activities of travel agencies 641 Post and courier activities 642 Telecommunications 651 Monetary intermediation 660 Insurance and pension funding, except compulsory social security 701 Real estate activities with own or leased property 702 Real estate activities on a fee or contract basis 712 Renting of other machinery and equipment 741 Legal, accounting, book-keeping and auditing activities; tax consultancy; market research and public opinion polling; business and management consultancy 742 Architectural and engineering activities and related technical consultancy technical consultancy; technical testing and analysis 743 Advertising 749 Business activities n.e.c. 751 Administration of the state and the economic and social policy of the community 752 Provision of services to the community as a whole 753 Compulsory social security activities 801 Primary education 802 General secondary education, technical and vocational secondary education 803 Higher education 851 Human health activities 852 Veterinary activities 853 Social work activities 900 Sewage and refuse disposal, sanitation and similar activities 911 Activities of business, employers and professional organization 912 Activities of trade unions 919 Activities of other membership organizations 921 Motion picture, radio, television and other entertainment activities entertainment activities 922 News agency activities 923 Library, archives, museums and other cultural activities 924 Sporting and other recreational activities 930 Other service activities 950 Private households with employed persons 990 Extra- territorial organizations and bodies 995 Response suppressed 999 Unknown Work: Industry Variables -- PERSON Status in employment <svar v="IQ97A418 IQ97A419 IQ97A420 IQ97A421 IQ97A422 IQ97A423 IQ97A424 IQ97A425 IQ97A452 IQ97A453"><span class="h3">For persons six years old and more</span><br />[Applies to questions 46-52]<br /></svar></p> <p><svar v="IQ97A422" a="all">49. Employment status<br /><div class="i1">[] 1 Employer<br />[] 2 Own-account worker<br />[] 3 Employee<br />[] 4 Unpaid family worker</div><br /></svar> <svar v="IQ97A422" a="all"><span class="em">49. Employment status:</span><br />Indicated by the sign (x) in the right square according to the following:<br />1. Employer<br />Related to the employers in the private, Arab and foreign sector only and defined as the person who owns or runs a big or small establishment or practices a skill or profession on condition he has to employ one person or more to fulfill his work.<br />2. Own account worker<br />A person who works on his own account and practices a skill or work on workshop that he owns and runs and doesn't employ any person to help him or fulfill his work.<br />3. Employee<br />Every person who receives a salary or fee in return for his work in different sectors governmental, mixed, private, Arabic, foreign or work for his own household in return of wage.<br />4. Unpaid family worker<br />He is the person that works no less than third of the ordinary working hours that means working at least two unpaid hours in agricultural holding or establishment that owned or ran by one person of his household.<br />Note: If a person corresponds on more than one status. The status of the more working hours is taken.<br /></svar> Iraq 1997: Persons age 6+ who are working either full or part time [discrepancies: type I 0.1%; type II none] This variable indicates the class of worker. 0 NIU (not in universe) 1 Employer 2 Own-account worker 3 Employee 4 Unpaid family worker 9 Unknown Work Variables -- PERSON Sector of employment <svar v="IQ97A418 IQ97A419 IQ97A420 IQ97A421 IQ97A422 IQ97A423 IQ97A424 IQ97A425 IQ97A452 IQ97A453"><span class="h3">For persons six years old and more</span><br />[Applies to questions 46-52]<br /></svar></p> <p><svar v="IQ97A423" a="all">50. Sector<br /><div class="i1">[] 1 Government<br />[] 2 Mixed<br />[] 3 Cooperative<br />[] 4 Private<br />[] 5 Arabic<br />[] 6 Foreigner</div><br /></svar> <svar v="IQ97A423" a="all"><span class="em">50. Sector:</span><br />If the person is working in an establishment that belongs to the government the sign (x) is put in the square opposite to the word (governmental) but if the office belongs to Iraqi people (the government neither owns it or having a share in it) the sign is put in the square opposite to the word (private) but if the person works in an establishment that the government has a share in its capital besides the private sector the sin is put in the square opposite to the word (mixed).<br /><span class="pg">[p.17]</span><br />If the person is working in a cooperative assembly, collective farm or agricultural cooperation the sign is put in the square opposite to the word (cooperative) but if the person is working in an Arab establishment the sign is put in the square opposite to the word (Arabic) but if he works in a foreign establishment the sign is put opposite to the word (foreign).<br />Note: The Iraqis, Arabs and Foreigners employees with Arabic construction companies and Arab's Embassies indicated by the sign (x) in the square opposite to the word (Arabic) as for Iraqis, Arabs and Foreigners employees with foreign construction companies and foreign Embassies indicated by the sign (x) in the square opposite to the word (foreigner).<br /></svar> Iraq 1997: Persons age 6+ who are working either full or part time [discrepancies: type I 0.1%; type II none] This variable indicates the sector the person is employed in. 0 NIU (not in universe) 1 Governmental 2 Mixed 3 Cooperative 4 Private 5 Arabic 6 Foreigner 9 Unknown Work Variables -- PERSON Work time <svar v="IQ97A418 IQ97A419 IQ97A420 IQ97A421 IQ97A422 IQ97A423 IQ97A424 IQ97A425 IQ97A452 IQ97A453"><span class="h3">For persons six years old and more</span><br />[Applies to questions 46-52]<br /></svar></p> <p><svar v="IQ97A424" a="all">51. Work time<br /><div class="i1">[] 1 Full-time<br />[] 2 Part-time</div><br /></svar> <svar v="IQ97A424" a="all"><span class="em">51. Work time:</span><br />Indicated by the sign (x) in the square opposite to the word (full) if the person works full time and indicated by the sign (x) in the square opposite to the word (part) if the person works part time.<br />The full time is means the working hours are no less than six hours daily and the part time means the working hours are no less than two hours and a half and less than six hours daily.<br />Note: All government officials are counted as working full time without paying attention to the working hours for example teachers in primary and high schools.<br /></svar> Iraq 1997: Persons age 6+ who are working either full or part time [discrepancies: type I 0.1%; type II none] This variable indicates whether the person works full or part time. 0 NIU (not in universe) 1 Full time 2 Part time 9 Unknown Work Variables -- PERSON Source of livelihood <svar v="IQ97A418 IQ97A419 IQ97A420 IQ97A421 IQ97A422 IQ97A423 IQ97A424 IQ97A425 IQ97A452 IQ97A453"><span class="h3">For persons six years old and more</span><br />[Applies to questions 46-52]<br /></svar></p> <p><svar v="IQ97A425" a="all">52. Main source of living<br /><div class="i1">[] 1 From work<br />[] 2 Retirement (all kinds of pension)<br />[] 3 Scholarship<br />[] 4 Assistance<br />[] 5 Investment<br />[] 6 By the help of others<br />[] 7 By the help of social care</div><br /></svar> <svar v="IQ97A425" a="all"><span class="em">52.The main source of living:</span><br />This field is filled for all household persons, the purpose of this field is to know the main source that the person gains to cover his economical demands and depending on this source to manage his living. If the main source of living of a person is from work and gets a salary, fee, commission or profit (for baseness men) indicated opposite to the word (from work). If the main source of living of a person is retirement (all kinds of pension) indicated to this phrase. If the main source of living of a person is from a scholarship either from the government or international comities or from foreign governments according to agreements indicated to the phrase (scholarship). This square is also indicated to the students that the government pays them scholarship to manage their living without paying attention to the duration of the scholarship.<br />If the main source of living of a person is from assistance that is paid by the government or private establishment as the assistance that is paid for the aged, orphans and the like, indicated in the word (assistance). If the person depends on his living from estates and investment as rent, rate of interest, profits and shares, etc. Indicated the word (investment).<br />If the person has no source of living but depends on others in running his living, indicated the phrase (by the help of others), for example the person that take care of his wife, children, his parents and they have no other source of living, indicated by the sign (x) to each one of them in the square opposite to the phrase (by the help of others).<br />Note: If the person has more than one source of living during the previous six months to the census day (16/10/1997), the source that forms the greatest rate from the total other sources, for example a pensioner and has a monthly pension about (1000) ID. And at the same time he has other work and earns a monthly payment about (2000) the source (from work) is counted. But if has a monthly pension about (1000) and at the same time he has a work two months before the census and earns from that work (1250) ID. Monthly, the main source of living for that person is counted (retirement).<br /></svar> Iraq 1997: All persons This variable indicates the person's source of livelihood. 1 From work 2 Retirement (all kinds of pension) 3 Scholarship 4 Gifts and assistance 5 Estate and investment 6 Dependency by other person 7 Welfare 9 Unknown Income Variables -- PERSON Vital status of parents <svar v="IQ97A426" a="all">53. Survival status of parents<br /><div class="i1">[] 1 The father is dead<br />[] 2 The mother is dead<br />[] 3 The parents are dead<br />[] 4 The parents are alive</div><br /></svar> <svar v="IQ97A426" a="all"><span class="em">53.Vital status of parents:</span><br />Vital status of parents means the person's state of being an orphan.<br />Indicated by the sign (x) in the square opposite the orphan status of a person. If the father's person is dead the sign is indicated in the square opposite to the phrase (the father is dead). If the person's mother is dead, the sign on the phrase (the mother is dead) but if the person's parents are dead the sign on the phrase (the parents are dead). If the person's parents are still a live the sign indicated to the phrase (the parents are alive). The data of this field are indicated to all ages.<br /></svar> Iraq 1997: All persons This variable indicates whether the person's parents are still alive. 1 The father is dead 2 The mother is dead 3 The parents dead 4 The parents are alive 9 Unknown Other Person Variables -- PERSON Place of birth <svar v="IQ97A427" a="all">54. Place of birth<br /><div class="i1">[] 1 In this governorate<br />[] 2 In another governorate ____<br />[] 3 Abroad ____</div><br /></svar> <svar v="IQ97A427" a="all"><span class="em">54. The place of birth:</span><br />Means the governorate in which the person was born. If the person was born in the same governorate that he dwells in on the census day the sign (x) is indicated in the square opposite to the phrase (in this governorate) but if the person was born in other governorate or abroad the sign is indicated to the phrase (in other governorate or abroad), the name of the governorate or country is recorded in the space indicated.<br />Note: Some persons dwell in certain administrative units in which they were born and these units related to certain governorates before and then transferred to other governorates administratively. These persons have to indicate the place of birth in this governorate.<br /></svar> Iraq 1997: All persons This variable indicates the person's governorate or country of birth. 001 In this governorate 002 In other governorate, unknown 011 Dhok 012 Nineveh 013 Al-Sulaimaniya 014 Al-Tameem 015 Arbil 021 Diala 022 Al-Anbar 023 Baghdad 024 Babylon 025 Kerbela 026 Wasit 027 Salah Al-Deen 028 Al-Najaf 031 Al-Qadisiya 032 Al-Muthanna 033 Thi-Qar 034 Maysan 035 Al-Basrah 101 Egypt 102 Syrian A. repiblic 103 Jordan 104 Kuwait 105 Sudan 106 Lebanon 107 Saudi Arabia Kingdom 111 United Arab Emirates 112 National Yemen 113 Yemen Arabic Jammahiriah 115 Tunisia 116 Algeria 117 Morroca 121 Palestine 201 United kingdom 206 Germany 309 Russia Fedration 503 Turkey 505 Iran 506 India 515 Pakistan 701 United States of America 900 Abroad, country unknown 999 Unknown Nativity and Birthplace Variables -- PERSON Period in current residential place <svar v="IQ97A428 IQ97A429 IQ97A430 IQ97A431 IQ97A432 IQ97A433" a="all"><span class="em">Residential status</span><br /><br /><div class="i1">55. Residential period in the recent place of residency</div><br /><div class="i2">[] 1 From birth<br />[] 2 Less than a year<br />[] 3 One year or more ____</div><br /><br /><span class="em">Previous place of residence:</span><br /><br /><div class="i1">56. Governorate or abroad</div><br /><div class="i2">[] 1 In this governorate ____<br />[] 2 Abroad ____</div><br /><br /><div class="i1">57. Administrative unit</div><br /><div class="i2">[] 1 Urban<br />[] 2 Rural</div><br /><br /><div class="i1">58. Reason for changing the place of residency</div><br /><div class="i2">[] 1 Job<br />[] 2 Transfer of posting<br />[] 3 Appointment<br />[] 4 War<br />[] 5 Marriage or divorce or windowed<br />[] 6 Study or finishing studies<br />[] 7 Accompanying family<br />[] 8 To get a better living<br />[] 9 Other</div><br /></svar> <svar v="IQ97A428 IQ97A429 IQ97A430 IQ97A431 IQ97A432 IQ97A433"><span class="em">(The fields 55-58 are specialized for residency and they are recorded for all population)</span><br /></svar></p> <p><svar v="IQ97A428 IQ97A429" a="all"><span class="em">55. Residential period in the recent place of residency:</span><br />Recorded in this field the residential period in the recent place of residency for each person from the household persons. If the person doesn't change his place of residency and he dwells from his birth in his place of residency this is indicated by the sign (x) in the square opposite to the phrase (from birth) if the residential period of a person in the recent city or village less than one year indicated by the sign (x) in the square opposite to the phrase (less than one year). If the residential period of a person one year and more indicated by the sign (x) in the square opposite to the phrase (one year and more) with mentioning the number of years inside the square indicated for that.<br /></svar> Iraq 1997: All persons This variable indicates the duration of residence in the current residential place -- city or village. 1 From birth 2 Less than 1 year 3 1 year and more 9 Unknown Migration: Global Variables -- PERSON Years in current residential place <svar v="IQ97A428 IQ97A429 IQ97A430 IQ97A431 IQ97A432 IQ97A433" a="all"><span class="em">Residential status</span><br /><br /><div class="i1">55. Residential period in the recent place of residency</div><br /><div class="i2">[] 1 From birth<br />[] 2 Less than a year<br />[] 3 One year or more ____</div><br /><br /><span class="em">Previous place of residence:</span><br /><br /><div class="i1">56. Governorate or abroad</div><br /><div class="i2">[] 1 In this governorate ____<br />[] 2 Abroad ____</div><br /><br /><div class="i1">57. Administrative unit</div><br /><div class="i2">[] 1 Urban<br />[] 2 Rural</div><br /><br /><div class="i1">58. Reason for changing the place of residency</div><br /><div class="i2">[] 1 Job<br />[] 2 Transfer of posting<br />[] 3 Appointment<br />[] 4 War<br />[] 5 Marriage or divorce or windowed<br />[] 6 Study or finishing studies<br />[] 7 Accompanying family<br />[] 8 To get a better living<br />[] 9 Other</div><br /></svar> <svar v="IQ97A428 IQ97A429 IQ97A430 IQ97A431 IQ97A432 IQ97A433"><span class="em">(The fields 55-58 are specialized for residency and they are recorded for all population)</span><br /></svar></p> <p><svar v="IQ97A428 IQ97A429" a="all"><span class="em">55. Residential period in the recent place of residency:</span><br />Recorded in this field the residential period in the recent place of residency for each person from the household persons. If the person doesn't change his place of residency and he dwells from his birth in his place of residency this is indicated by the sign (x) in the square opposite to the phrase (from birth) if the residential period of a person in the recent city or village less than one year indicated by the sign (x) in the square opposite to the phrase (less than one year). If the residential period of a person one year and more indicated by the sign (x) in the square opposite to the phrase (one year and more) with mentioning the number of years inside the square indicated for that.<br /></svar> Iraq 1997: Persons who have not lived in the present residential place from birth [discrepancies: type I trace; type II none] This variable indicates the years of residence in the current residential place -- city or village. 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+ 98 Unknown 99 NIU (not in universe) Migration: Global Variables -- PERSON Previous governorate or country of residence <svar v="IQ97A428 IQ97A429 IQ97A430 IQ97A431 IQ97A432 IQ97A433" a="all"><span class="em">Residential status</span><br /><br /><div class="i1">55. Residential period in the recent place of residency</div><br /><div class="i2">[] 1 From birth<br />[] 2 Less than a year<br />[] 3 One year or more ____</div><br /><br /><span class="em">Previous place of residence:</span><br /><br /><div class="i1">56. Governorate or abroad</div><br /><div class="i2">[] 1 In this governorate ____<br />[] 2 Abroad ____</div><br /><br /><div class="i1">57. Administrative unit</div><br /><div class="i2">[] 1 Urban<br />[] 2 Rural</div><br /><br /><div class="i1">58. Reason for changing the place of residency</div><br /><div class="i2">[] 1 Job<br />[] 2 Transfer of posting<br />[] 3 Appointment<br />[] 4 War<br />[] 5 Marriage or divorce or windowed<br />[] 6 Study or finishing studies<br />[] 7 Accompanying family<br />[] 8 To get a better living<br />[] 9 Other</div><br /></svar> <svar v="IQ97A428 IQ97A429 IQ97A430 IQ97A431 IQ97A432 IQ97A433"><span class="em">(The fields 55-58 are specialized for residency and they are recorded for all population)</span><br /></svar></p> <p><svar v="IQ97A430 IQ97A431 IQ97A432 IQ97A433">Note: The fields (56-60) are not filled for the persons dwell in the recent residential period from birth and the sign (x) in the square opposite to the phrase (from birth) in the field 55 (the residential period in the recent residential place).<br /></svar></p> <p><svar v="IQ97A430" a="all"><span class="em">56. The governorate or abroad:</span><br />If the previous place of residency to the recent place of residency in this governorate indicated by the sign (x) in the square (1) (in this governorate) but if the place of residency in other governorate or abroad the name of the governorate or the country is recorded in the special space for that.<br /></svar> Iraq 1997: Persons who have not lived in the present residential place from birth [discrepancies: none] This variable indicates the person's governorate or country of previous residence. 000 NIU (not in universe) 001 In this governorate 002 In other governorate, unknown 011 Dhok 012 Nineveh 013 Al-Sulaimaniya 014 Al-Tameem 015 Arbil 021 Diala 022 Al-Anbar 023 Baghdad 024 Babylon 025 Kerbela 026 Wasit 027 Salah Al-Deen 028 Al-Najaf 031 Al-Qadisiya 032 Al-Muthanna 033 Thi-Qar 034 Maysan 035 Al-Basrah 101 Egypt 102 Syrian A. repiblic 103 Jordan 104 Kuwait 105 Sudan 106 Lebanon 107 Saudi Arabia Kingdom 111 United Arab Emirates 112 National Yemen 113 Yemen Arabic Jammahiriah 114 Libiyan Arabic Jammahiriah 115 Tunisia 116 Algeria 117 Morroca 121 Palestine 199 Other Arab Countries 201 United kingdom 202 France 206 Germany 299 Other western European countries 306 Romania 309 Russia Federation 399 Other eastern European countries 503 Turkey 505 Iran 515 Pakistan 599 Other Asia 701 United State of America 899 Other countries not elsewhere classified 999 Unknown Migration: Global Variables -- PERSON Urban-rural status of previous residence <svar v="IQ97A428 IQ97A429 IQ97A430 IQ97A431 IQ97A432 IQ97A433" a="all"><span class="em">Residential status</span><br /><br /><div class="i1">55. Residential period in the recent place of residency</div><br /><div class="i2">[] 1 From birth<br />[] 2 Less than a year<br />[] 3 One year or more ____</div><br /><br /><span class="em">Previous place of residence:</span><br /><br /><div class="i1">56. Governorate or abroad</div><br /><div class="i2">[] 1 In this governorate ____<br />[] 2 Abroad ____</div><br /><br /><div class="i1">57. Administrative unit</div><br /><div class="i2">[] 1 Urban<br />[] 2 Rural</div><br /><br /><div class="i1">58. Reason for changing the place of residency</div><br /><div class="i2">[] 1 Job<br />[] 2 Transfer of posting<br />[] 3 Appointment<br />[] 4 War<br />[] 5 Marriage or divorce or windowed<br />[] 6 Study or finishing studies<br />[] 7 Accompanying family<br />[] 8 To get a better living<br />[] 9 Other</div><br /></svar> <svar v="IQ97A428 IQ97A429 IQ97A430 IQ97A431 IQ97A432 IQ97A433"><span class="em">(The fields 55-58 are specialized for residency and they are recorded for all population)</span><br /></svar></p> <p><svar v="IQ97A430 IQ97A431 IQ97A432 IQ97A433">Note: The fields (56-60) are not filled for the persons dwell in the recent residential period from birth and the sign (x) in the square opposite to the phrase (from birth) in the field 55 (the residential period in the recent residential place).<br /></svar></p> <p><svar v="IQ97A431 IQ97A432" a="all"><span class="em">57. The administrative unit:</span><br />If the area that the person dwells in before its recent place of residency is the centre of the governorate or the centre of Qadha or within the boundaries of municipalities of the Nahia indicated by the sign (x) in the square opposite to the word (urban) with mentioning the name of the administrative unit but if the area that the person resides in before its recent place of residency outside the centre of the governorate or Qadha or the boundaries of municipality of the Nahia indicated by the sign (x) in the square opposite to the word (rural) with mentioning the name of the administrative unit.<br /></svar> Iraq 1997: Persons who have not lived in the present residential place from birth [discrepancies: none] This variable indicates whether the person's previous residence was an urban or rural area. 0 NIU (not in universe) 1 Urban 2 Rural 9 Unknown Migration: Global Variables -- PERSON Reason for changing place of residence <svar v="IQ97A428 IQ97A429 IQ97A430 IQ97A431 IQ97A432 IQ97A433" a="all"><span class="em">Residential status</span><br /><br /><div class="i1">55. Residential period in the recent place of residency</div><br /><div class="i2">[] 1 From birth<br />[] 2 Less than a year<br />[] 3 One year or more ____</div><br /><br /><span class="em">Previous place of residence:</span><br /><br /><div class="i1">56. Governorate or abroad</div><br /><div class="i2">[] 1 In this governorate ____<br />[] 2 Abroad ____</div><br /><br /><div class="i1">57. Administrative unit</div><br /><div class="i2">[] 1 Urban<br />[] 2 Rural</div><br /><br /><div class="i1">58. Reason for changing the place of residency</div><br /><div class="i2">[] 1 Job<br />[] 2 Transfer of posting<br />[] 3 Appointment<br />[] 4 War<br />[] 5 Marriage or divorce or windowed<br />[] 6 Study or finishing studies<br />[] 7 Accompanying family<br />[] 8 To get a better living<br />[] 9 Other</div><br /></svar> <svar v="IQ97A428 IQ97A429 IQ97A430 IQ97A431 IQ97A432 IQ97A433"><span class="em">(The fields 55-58 are specialized for residency and they are recorded for all population)</span><br /></svar></p> <p><svar v="IQ97A430 IQ97A431 IQ97A432 IQ97A433">Note: The fields (56-60) are not filled for the persons dwell in the recent residential period from birth and the sign (x) in the square opposite to the phrase (from birth) in the field 55 (the residential period in the recent residential place).<br /></svar></p> <p><svar v="IQ97A433" a="all"><span class="em">58. Reason of changing the place of residence:</span><br />If the reason of changing the place of the person's residence to the place of his recent residence because of work indicated by the sign (x) in the square opposite to the word (job) but if it is because of transfer or posting indicated by the sign (x) in the square opposite to the phrase (transfer or posting) but if the reason is appointment the sign (x) is indicated in the square opposite to the word (appointment) and so on.<br />Note: The changing in the place of residence within the one city or the one village is not counted as changing the place of residence even the city of Baghdad.<br /></svar> Iraq 1997: Persons who have not lived in the present residential place from birth [discrepancies: type I trace; type II none] This variable indicates the reason to why the person moved from their previous place of residence. 00 NIU (not in universe) 01 Job 02 Transfer or posting 03 Appointment 04 War 05 Marriage or divorce or widowed 06 Study or finishing study 07 Accompanying family 08 Better living 09 Others 99 Unknown Migration: Global Variables -- PERSON Residence before 1987 census <svar v="IQ97A434 IQ97A435 IQ97A436 IQ97A437"><span class="h3">For those who were born before the 10/17/1987</span><br />[Applies to questions 59-61]<br /></svar></p> <p><svar v="IQ97A434 IQ97A435 IQ97A436 IQ97A437" a="all">Usual place of residence before the population census in 1987<br /><br /><div class="i1">59. Governorate or abroad</div><br /><div class="i2">[] 1 In this governorate<br />[] 2 In other governorate ____<br />[] 3 Abroad ____</div><br /><br /><div class="i1">60. Administrative unit</div><br /><div class="i2">[] 1 Urban<br />[] 2 Rural</div><br /><br /><div class="i1">61. Nationality</div><br /><div class="i2">[] 1 Iraqi<br />[] Arabic or foreigner<br />(Give the nationality) ____</div><br /></svar> <svar v="IQ97A434" a="all"><span class="em">59. The governorate or abroad</span>:<br />This field is filled for persons who were born before 17/10/1987 means before the population census in 1987. If the usual place of residence in the 1987 population census in this governorate indicated by the sign (x) in the square opposite to the phrase (in this governorate) but if the usual place of residence in 1987 census in other governorate or abroad the name of the governorate or country is recorded in the special space for that.<br /></svar> Iraq 1997: Persons age 10+ who have not lived in the present residential place from birth [discrepancies: type I 0.2%; type II none] This variable indicates the usual governorate or country of residence before the 1987 census. 000 NIU (not in universe) 001 In this governorate 002 In other governorate, unknown 003 Abroad, country unknown 011 Dhok 012 Nineveh 013 Al-Sulaimaniya 014 Al-Tameem 015 Arbil 021 Diala 022 Al-Anbar 023 Baghdad 024 Babylon 025 Kerbela 026 Wasit 027 Salah Al-Deen 028 Al-Najaf 031 Al-Qadisiya 032 Al-Muthanna 033 Thi-Qar 034 Maysan 035 Al-Basrah 101 Egypt 102 Syrian A. repiblic 103 Jordan 104 Kuwait 105 Sudan 106 Lebanon 107 Saudi Arabia Kingdom 111 United Arab Emirates 112 National Yemen 113 Yemen Arabic Jammahiriah 121 Palestine 199 Other Arab countries 201 United kingdom 299 Other European countries 505 Iran 515 Pakistan 900 Other countries not elsewhere classified 999 Unknown Migration: Global Variables -- PERSON Urban-rural status before 1987 census <svar v="IQ97A434 IQ97A435 IQ97A436 IQ97A437"><span class="h3">For those who were born before the 10/17/1987</span><br />[Applies to questions 59-61]<br /></svar></p> <p><svar v="IQ97A434 IQ97A435 IQ97A436 IQ97A437" a="all">Usual place of residence before the population census in 1987<br /><br /><div class="i1">59. Governorate or abroad</div><br /><div class="i2">[] 1 In this governorate<br />[] 2 In other governorate ____<br />[] 3 Abroad ____</div><br /><br /><div class="i1">60. Administrative unit</div><br /><div class="i2">[] 1 Urban<br />[] 2 Rural</div><br /><br /><div class="i1">61. Nationality</div><br /><div class="i2">[] 1 Iraqi<br />[] Arabic or foreigner<br />(Give the nationality) ____</div><br /></svar> <svar v="IQ97A435 IQ97A436" a="all"><span class="em">60. The administrative unit:</span><br />The field is filled for the persons who were born before 17/10/1987 that means before the 1987 population census. If the area that the person resides in the (1987 population census) is the centre of a governorate or the centre of Qadha or within the boundaries of the municipality of Nahia indicated by the sign (x) in the square opposite to the word (urban) with mentioning the name of the administrative unit but if the area that the person dwells in (the 1987 population census) outside the centre of the governorate or Qadha or the boundaries of the municipality of the Nahia indicated by the sign (x) in the square opposite to the word (rural) with mentioning the name of the administrative unit in the special space for that.<br /></svar> Iraq 1997: Persons age 10+ who have not lived in the present residential place from birth [discrepancies: type I 0.2%; type II none] This variable indicates whether the usual place of residence before 1987 census was an urban or rural area. 0 NIU (not in universe) 1 Urban 2 Rural 9 Unknown Migration: Global Variables -- PERSON Nationality <svar v="IQ97A434 IQ97A435 IQ97A436 IQ97A437"><span class="h3">For those who were born before the 10/17/1987</span><br />[Applies to questions 59-61]<br /></svar></p> <p><svar v="IQ97A434 IQ97A435 IQ97A436 IQ97A437" a="all">Usual place of residence before the population census in 1987<br /><br /><div class="i1">59. Governorate or abroad</div><br /><div class="i2">[] 1 In this governorate<br />[] 2 In other governorate ____<br />[] 3 Abroad ____</div><br /><br /><div class="i1">60. Administrative unit</div><br /><div class="i2">[] 1 Urban<br />[] 2 Rural</div><br /><br /><div class="i1">61. Nationality</div><br /><div class="i2">[] 1 Iraqi<br />[] Arabic or foreigner<br />(Give the nationality) ____</div><br /></svar> <svar v="IQ97A437" a="all"><span class="em">61. Nationality:</span><br />This field is filled by all population Iraqis, Arabs or foreigners. If the person is Iraqi indicates by the sign (x) in the square opposite to the word (Iraqi) but if the person is an Arab or a foreigner the nationality of the person is indicated in the special space for that for example Egyptian, Syrian, Jordanian, Indian etc. If the person has no nationality the phrase without nationality is indicated.<br /></svar> Iraq 1997: All persons This variable indicates the person's nationality. 001 Iraqi 002 Arabic or foreigner (nationality recorded) 101 Egypt 102 Syrian A. repiblic 103 Jordan 104 Kuwait 105 Sudan 106 Lebanon 107 Saudi Arabia Kingdom 111 United Arab Emirates 112 National Yemen 113 Yemen Arabic Jammahiriah 115 Tunisia 117 Morroca 118 Somalia 119 Mauritania 121 Palestine 199 Other Arab Countries 309 Russian Federation 399 Other European countries 503 Turkey 505 Iran 506 India 515 Pakistan 516 Afghanistan 900 Other countries not elsewhere classified 999 Unknown Nativity and Birthplace Variables -- PERSON Education level studying <svar v="IQ97A439 IQ97A440 IQ97A441 IQ97A449"><span class="h3">Questions 65-67 are for students continuing their studies</span><br /></svar></p> <p><svar v="IQ97A439 IQ97A449" a="all">65. Educational level<br /><div class="i1">[] 1 Primary<br />[] 2 Intermediate and secondary<br />[] 3 Vocational<br />[] 4 Institutes<br />[] 5 College<br />[] 6 High diploma<br />[] 7 M.SC<br />[] 8 Ph.D.<br />[] 9 Highest degree acquired<br />[] 10 Others</div><br /></svar> <svar v="IQ97A439 IQ97A440 IQ97A441"><span class="em">(The fields 65, 66, 67) are for students continuing their studies:</span><br />As for the students continuing their studies during the year (1997-1998) in the schools, institutes, colleges and universities that are documented inside Iraq and abroad the information required is recorded in the fields (65, 66, 67).<br /></svar></p> <p><svar v="IQ97A439" a="all"><span class="em">65- Educational level:</span><br />The educational level is indicated in the suitable square. If the person is a student in the primary stage and continuing his studies indicated by the sign (x) in the square opposite to the word (primary). If the person is a student in the intermediate stage or preparatory and continuing his studies indicated by the sign (x) in the square opposite to that. If the person is a student in one of the vocational schools (Industrial schools, commercial, agricultural, teachers institutes, domestic arts, productive fine arts school, means a similar vocational school attended by students who finish the intermediate stage). Indicated by the sign (x) in the square opposite to the phrase (vocational schools). If the student is in one of institutes listed below and the study in them after the preparatory stage the students are awarded Diploma (less than Bachelor) indicated by the sign (x) in the square opposite to the word (institutes) (Technology institutes, Medical institutes, Applied arts institutes, the institutes related to ministries and establishments.<br />If the person is a student in one of the Collage or Universities to acquire the Bachelor certificate indicated by the sign (x) in the square opposite to the phrase (collage or universities). If the person is a student to get a high Diploma certificate indicated in the square opposite to the High Diploma. If the person is continuing his studies to get the highest professional certificate for example general surgery (F.R.C.S., F.R.C.P.) indicated by the sign (x) in the square opposite to the phrase (highest professional certificate).<br /></svar> Iraq 1997: Persons age 5+ continuing studies [discrepancies: not verifiable] This variable indicates the educational level the person is currently attending. 00 NIU (not in universe) 01 Primary 02 Intermediate or preparatory 03 Vocational schools 04 Institutes 05 College or university 06 High diploma 07 Master degree 08 Ph D 09 Highest professional degree 10 Others 99 Unknown Education Variables -- PERSON Class or level studying <svar v="IQ97A439 IQ97A440 IQ97A441 IQ97A449"><span class="h3">Questions 65-67 are for students continuing their studies</span><br /></svar></p> <p><svar v="IQ97A440 IQ97A449" a="IQ97A440">66. Class or level ____<br /></svar> <svar v="IQ97A439 IQ97A440 IQ97A441"><span class="em">(The fields 65, 66, 67) are for students continuing their studies:</span><br />As for the students continuing their studies during the year (1997-1998) in the schools, institutes, colleges and universities that are documented inside Iraq and abroad the information required is recorded in the fields (65, 66, 67).<br /></svar></p> <p><svar v="IQ97A440" a="all"><span class="em">66. Class or level:</span><br />The class is recorded as a number in the space indicated for the students continuing their studies in all its stages except students of high diploma, masters, degree and PhD, highest degree acquired for examples if the student continues his studies in the second intermediate recorded in the space specialized for that No.(2) and so on.<br /></svar> Iraq 1997: Persons age 5+ continuing studies [discrepancies: not verifiable] This variable indicates the year or grade within educational level that the person is currently attending. This variable should be combined with the educational level the person is attending. 0 NIU (not in universe) 1 1 2 2 3 3 4 4 5 5 6 6 9 Unknown Education Variables -- PERSON Educational level and grade studying <svar v="IQ97A439 IQ97A440 IQ97A441 IQ97A449"><span class="h3">Questions 65-67 are for students continuing their studies</span><br /></svar></p> <p><svar v="IQ97A439 IQ97A449" a="all">65. Educational level<br /><div class="i1">[] 1 Primary<br />[] 2 Intermediate and secondary<br />[] 3 Vocational<br />[] 4 Institutes<br />[] 5 College<br />[] 6 High diploma<br />[] 7 M.SC<br />[] 8 Ph.D.<br />[] 9 Highest degree acquired<br />[] 10 Others</div><br /></svar></p> <p><svar v="IQ97A440 IQ97A449" a="IQ97A440">66. Class or level ____<br /></svar> Iraq 1997: Persons age 5+ continuing studies [discrepancies: not verifiable] This variable indicates the education level, and grade or year within level, that the person is currently attending. 000 NIU (not in universe) 011 Primary Level 1 012 Primary Level 2 013 Primary Level 3 014 Primary Level 4 015 Primary Level 5 016 Primary Level 6 021 Intermediate or preparatory Level 1 022 Intermediate or preparatory Level 2 023 Intermediate or preparatory Level 3 024 Intermediate or preparatory Level 4 025 Intermediate or preparatory Level 5 026 Intermediate or preparatory Level 6 031 Vocational schools Level 1 032 Vocational schools Level 2 033 Vocational schools Level 3 034 Vocational schools Level 4 035 Vocational schools Level 5 036 Vocational schools Level 6 041 Institutes Level 1 042 Institutes Level 2 043 Institutes Level 3 044 Institutes Level 4 045 Institutes Level 5 and 6 051 College or university Level 1 052 College or university Level 2 053 College or university Level 3 054 College or university Level 4 055 College or university Level 5 056 College or university Level 6 060 High diploma 070 Master degree 080 Ph D 090 Highest professional degree 100 Others 999 Unknown Education Variables -- PERSON Literacy <svar v="IQ97A442 IQ97A443 IQ97A444"><span class="h3">The fields (68-70) are filled for those who are more than (10) years old, excluding the students who were born in 1987 or earlier.</span><br /></svar></p> <p><svar v="IQ97A442" a="all">68. Persons without certificate<br /><div class="i1">[] 1 Reading and writing<br />[] 2 Reading only<br />[] 3 Illiterate</div><br /></svar> <svar v="IQ97A442" a="all"><span class="em">68. Without a certificate:</span><br />This field is filled for all persons of a household (male and female) those who are 10 years old or more (they were born in 1987 or earlier) except the students who were still studying and data were taken on them in the fields (65, 66, 67) if the person neither reads or writes in any language is counted illiterate and the sign is put in the square opposite to the word (illiterate).<br />The person who is unable to read or write numbers or his name, is counted illiterate. If the person reads only and understands what he is reading in any language the sign (x) is indicated in the square opposite to the phrase (reading only). If the person reads and understands what he is reading in any language and writes at least one paragraph in any language the sign (x) is indicated in the square opposite to the phrase (reading and writing).<br /></svar> Iraq 1997: Persons age 10+ not presently continuing studies [discrepancies: none] This variable indicates whether the person is literate or not. 0 NIU (not in universe) 1 Reading and writing 2 Reading only 3 Illiterate 9 Unknown Education Variables -- PERSON Highest certificate <svar v="IQ97A442 IQ97A443 IQ97A444"><span class="h3">The fields (68-70) are filled for those who are more than (10) years old, excluding the students who were born in 1987 or earlier.</span><br /></svar></p> <p><svar v="IQ97A443" a="all">69. For persons with certificates (mark with an [x] the highest certificate)<br /><div class="i1">[] 1 Primary<br />[] 2 Intermediate<br />[] 3 Secondary<br />[] 4 Vocational<br />[] 5 Diploma<br />[] 6 B.A. or B.SCB<br />[] 7 Higher diploma<br />[] 8 M.A. or MSC<br />[] 9 Ph.D.<br />[] Higher degree acquired<br />[] Others</div><br /></svar> <svar v="IQ97A443" a="all"><span class="em">69. For person with certificate:</span><br />The certificate here means the certificates accepted by the ministry or Education or the ministry of Higher education and scientific Research, if the person acquires a primary certificate the sign is put in the square opposite to the word (primary), if the person completed the intermediate level the sign (x) is put in the square opposite to the word (intermediate), if the person gets a certificate from one of the industrial preparatory schools or agricultural or commercial the sign is put in the square opposite to the (vocational). If the person gets Bachelor the sign put in the square opposite to the word (bachelor), if the person gets a higher professional certificate the sign is put in the square opposite to the phrase (higher professional certificate) for example (M.R.C.P., F.R.C.S., F.R.C.S., and so on. If the person gets a certificate not mentioned in the questionnaire the sign is put opposite to the word (others).<br /></svar> Iraq 1997: Persons age 10+ with a certificate [discrepancies: not verifiable] This variable indicates the highest educational certificate the person has obtained. 00 NIU (not in universe) 01 Primary 02 Intermediate or preparatory 03 Secondary 04 Vocational schools 05 Diploma (2 or 3 years after secondary) 06 B.Sc. 07 Higher diploma 08 M.Sc. 09 Ph.D 10 Highest professional degree 97 Others 99 Unknown Education Variables -- PERSON Kind of disability <svar v="IQ97A445"><span class="h3">The fields (71, 72) are filled for all handicapped persons without recognition to the sex or age.</span><br /></svar></p> <p><svar v="IQ97A445" a="all">71. Type of disability<br /><div class="i1">[] 1 No hearing<br />[] 2 Dumb<br />[] 3 No hearing and dumb<br />[] 4 Lost one eye<br />[] 5 Lost both eyes<br />[] 6 Lost one leg<br />[] 7 Lost both legs<br />[] 8 Lost one hand<br />[] 9 Lost both hands<br />[] 10 Insane<br />[] 11 Paralysis<br />[] 12 Others ____</div><br /></svar> <svar v="IQ97A445" a="all"><span class="em">71. The type of Handicapped:</span><br />Indicated by the sign (x) in the square opposite to the type of handicapped the person had. If the person is blind the sign is put in the square opposite to the phrase (lost 2 eyes) if one of his legs is cut the sign is put in the square opposite to the phrase (lost 1 leg), if the person has lost one leg and one eye at the same time the state is recorded in the special space for that and so on.<br /></svar> Iraq 1997: All persons This variable indicates the disability status of the person. 00 Not handicapped 01 Not hearing 02 Dumb 03 Lost one eye 04 Lost two eyes 05 Deaf (not hearing and dumb) 06 Lost one leg 07 Lost two legs 08 Lost one hand 09 Lost two hands 10 Mad 11 Paralysis 20 Other 99 Unknown Disability Variables -- PERSON Age <svar v="IQ97A404 IQ97A405 IQ97A406 IQ97A448" a="all"><span class="em">37. The date of birth:</span><br />Recorded in this field in numbers the date of birth of the person by day, month and year. The numerator has to notice that number (19) is fixed on the field of year means thousands and hundreds. If the person was born in 1945 it is recorded beside number (19) number (45). The numerator has to regard and to work hard in collecting these data accurately especially children and the year of birth and if the name of the month is not available he has to confirm the year of birth only. He does not have to mention the age in years but only does the year of birth. To ensure the accuracy of data he has to go back to the documents available to fix the data of birth and it depends first on the birth certificate then the identification card and if it is not available he depends on army service certificate or nationality certificate or passport and if all these documents are not the same and there is some difference in them the numerator has to estimate the year of birth on the basis of the person appearance and the rest person of the household opinion and to connect the year of birth with national, religious and historical events and the ages of the rest persons of a household.<br /><span class="pg">[p.12]</span><br />Note: If the date of birth in the identification card includes (1/7) in day and month the numerator has to ask the person about the real date of his birth although the day and month (1/7) is available in his identification card. If it is obvious that the person really doesn't know the day and month of his birth the numerator doesn't have to record that and to record the year of birth only.<br /></svar> Iraq 1997: All persons This variable indicates the person's age. 000 0 001 1 002 2 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100 101 101 102 102 103 103 104 104 105 105 106 106 107 107 108 108 109 109 110 110+ 999 Unknown Demographic Variables -- PERSON Local and foreign languages spoken <svar v="IQ97A438 IQ97A450"><span class="h3">For Iraqis only</span><br /> [Applies to questions 62-64]<br /></svar></p> <p><svar v="IQ97A438 IQ97A450" a="all">64. Local and foreign languages spoken by the person ____<br /></svar> <svar v="IQ97A438 IQ97A450" a="all"><span class="em">64. The local and foreign languages known by the person:</span><br />Means the languages that the person can speak them properly they are either local languages Arabic, Kurdish, etc. or foreign languages English, French, etc. The person has to record the languages that he can speak properly either local or foreign languages.<br />As for the children who were less than five years old recorded the language of their parents if they don't speak other language if the person is deaf or dumb this field is left vacant.<br /></svar> Iraq 1997: Iraqi citizens [discrepancies: type I trace; type II none] This variable indicates the local and foreign languages spoken by the person. 00 NIU (not in universe) 01 Al-Arabia 02 Al-Kurdia 03 Al-Turkomania 04 Al-Armania 05 Al-Syriania 06 Al-Chaldeania 09 Other Local Language 10 Undocumented 11 English 12 French 13 Russian 14 German 15 TurKish 16 Persian 17 Chineas 19 Polanies 20 Hingarian 21 Japanies 22 Italian 23 Spanish 25 Bulgaria 30 Afghanistan 31 Pakistan 98 Other Languages 99 Unknown Ethnicity and Language Variables -- PERSON