IV Censo de Población y III de Vivienda, 1982 DDI_ECU_1982_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. IV Censo de Población y III de Vivienda, 1982 - IPUMS Subset PHC ec1982a (IPUMS Harmonized Subset) ECU_1982_PHC_v01_M_v7.6_A_IPUMS Instituto Nacional de Estadística y Censos IPUMS (c) Copyright 1982, Instituto Nacional de Estadística y Censos and Minnesota Population Center Instituto Nacional de Estadística y Censos 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 Nativity and Birthplace Variables -- PERSON Fertility and Mortality Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Utilities Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Geography: A-E Variables -- HOUSEHOLD Migration: Global Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Migration: A-E Variables -- PERSON Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Utilities Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Technical Household Variables -- HOUSEHOLD Geography: A-E Variables -- HOUSEHOLD Demographic Variables -- PERSON Nativity and Birthplace Variables -- PERSON Migration: Global Variables -- PERSON Education Variables -- PERSON Work Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON Fertility and Mortality Variables -- PERSON November 28, 1982 Urban population in one day and rural population in eight days. Ecuador Canton Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: Yes - Households: yes - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: Housing premises meant for habitation, which even when it may not have been originally built for housing people, is being occupied as a dwelling at the time the Census is taken. - Households: House or villa, Apartment, room in a rooming house, “mediagua” (construction with roof sloping in only one direction), ranch, shack, other. - Group quarters: Hotel or pension, military or police barracks, hospital, convent, boarding school, other. Everyone who spent the night of November 27 to November 28 in a Dwelling in Ecuador. Including individuals who usually reside at the household, but were away for special reasons (e.g. physicians, army personnel, fishermen). Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Ecuador 1982 MICRODATA SOURCE: Instituto Nacional de Estadística y Censos SAMPLE SIZE (person records): 806834. SAMPLE DESIGN: Systematic sample of every 10th household. Face-to-face [f2f] A single enumeration form that requested information on dwellings and individuals, but the field work was divided into urban and rural enumerator’s manuals. de facto, CENSUS DAY: November 28, 1982 Self-weighting. Expansion factor = 10. IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. IPUMS International works with each country's statistical office to minimize the risk of disclosure of respondent information. The details of the confidentiality protections vary across countries, but in all cases, names and detailed geographic information are suppressed and top-codes are imposed on variables such as income that might identify specific persons. In addition, IPUMS International uses a variety of technical procedures to enhance confidentiality protection. These include the following: (1) Swapping an undisclosed fraction of records from one administrative district to another to make positive identification of individuals impossible. (2) Randomizing the placement of households within districts to disguise the order in which individuals were enumerated or the data processed. (3) Aggregating codes of sensitive characteristics (e.g., grouping together very small ethnic categories) (4) Top- and bottom-coding continuous variables to prevent identification of extreme cases. The safety record for public-use census microdata is apparently perfect. In almost four decades of use, there has not been a single verified breach of statistical confidentiality. The measures implemented by the IPUMS International are designed to extend this record. Instituto Nacional de Estadística y Censos 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: Ecuador, Instituto Nacional de Estadística y Censos. IV Censo de Población y III de Vivienda, 1982 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 ec1982a, 2025 ECU1982_PHC-H-H.dat Household records 195,401 ascii Minnesota Population Center Version 7.5, IPUMS sample ECU1982_PHC-P-H.dat Person records 806834 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 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 Ecuador, Province 1962 - 2010 [Level 1; consistent boundaries, GIS] GEO1_EC identifies the household's province within Ecuador in all sample years. Provinces are the first level administrative units of the country. GEO1_EC is spatially harmonized accounting for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO1_EC can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Ecuador 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. 218001 Azuay 218002 Bolívar 218004 Carchi 218005 Cotopaxi 218006 Chimborazo 218007 El Oro 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 218010 Imbabura, Las Golondrinas [Disputed canton] 218011 Loja 218014 Morona Santiago 218016 Pastaza 218018 Tungurahua 218019 Zamora Chinchipe 218021 Napo, Orellana, Sucumbíos 218099 Unknown Geography: A-E Variables -- HOUSEHOLD Ecuador, Province 1982 [Level 1, GIS] GEO1_EC1982 identifies the household's province within Ecuador in 1982. Provinces are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_EC1982 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Ecuador 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. 010 Carchi 011 Imbabura 012 Pichincha 013 Cotopaxi 014 Tungurahua 015 Bolívar 016 Chimborazo 017 Cañar 018 Azuay 019 Loja 020 Esmeraldas 021 Manabí 022 Los Ríos 023 Guayas and Galápagos 024 El Oro 030 Napo 031 Pastaza 032 Morona Santiago 033 Zamora Chinchipe 041 Disputed zones Geography: A-E Variables -- HOUSEHOLD Ecuador, Canton 1962 - 2010 [Level 2; consistent boundaries, GIS] GEO2_EC identifies the household's canton within Ecuador in all sample years. Cantons are the second level administrative units of the country, after provinces. GEO2_EC is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO2_EC can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Ecuador 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. 218001001 Cuenca 218001002 Gualaceo, Chordeleg 218001003 Pucará, Santa Isabel, Camilo Ponce Enríquez 218001004 Paute, El Pan, Sevilla de Oro, Guachapala 218001005 Girón, Nabón, San Fernando, Oña 218001006 Sigsig 218001099 Azuay, unknown canton 218002001 Guaranda, Echeandía, Las Naves 218002002 Chillanes, San Miguel 218002003 Chimbo, Caluma 218004001 Tulcán, San Pedro de Huaca 218004002 Bolívar, Montúfar 218004003 Espejo, Mira 218005001 Latacunga, Sigchos 218005002 La Maná, Pujilí 218005003 Salcedo 218005004 Saquisilí 218005005 Pangua 218006001 Riobamba, Chambo 218006002 Alausí, Chunchi, Cumandá 218006003 Colta, Pallatanga 218006004 Guano, Penipe 218006005 Guamote 218007001 Machala, El Guabo 218007002 Arenillas, Huaquillas, Las Lajas 218007003 Chilla, Pasaje 218007004 Santa Rosa 218007005 Atahualpa, Portovelo, Zaruma 218007006 Balsas, Marcabelí, Piñas 218009001 El Carmen, Flavio Alfaro, Chone, Pedro Vicente, Maldonado, Sucre, San Miguel de los Bancos, Quito, Puerto Quito, Palestina, Colimes, Balzar, El Empalme, San Vicente, Jama, Mocache, Buena Fé, Valencia, Manga del cura, La Concordia, Quinindé, Atacames, Rioverde, Esmeraldas, Pedernales, Quevedo, Santo Domingo El Carmen, Flavio Alfaro, Chone, Pedro Vicente, Maldonado, Sucre, San Miguel de los Bancos, Quito, Puerto Quito, Palestina, Colimes, Balzar, El Empalme, San Vicente, Jama, Mocache, Buena Fé, Valencia, Manga del cura, La Concordia, Quinindé, Atacames, Rioverde, Esmeraldas, Pedernales, Quevedo, Santo Domingo 218009002 Guayaquil, Balao, Playas, Durán 218009003 Biblián, Cañar, La Troncal, El Tambo, Suscal, Alfredo Baquerizo Moreno (Jujan), El Triunfo, Milagro, Naranjito, San Jacinto de Yaguachi, Simón Bolívar, Coronel Marcelino Maridueña, General Antonio Elizalde, El Piedrero 218009004 Portoviejo 218009005 Daule, Pedro Carbo, Santa Lucía, Lomas de Sargentillo, Nobol, Isidro Ayora 218009006 Manta 218009007 Babahoyo, Montalvo 218009008 La Libertad, Salinas 218009009 Santa Elena, San Cristóbal, Isabela, Santa Cruz 218009010 Vinces, Palenque 218009011 Jipijapa, Puerto López 218009012 Junín, Rocafuerte, Tosagua 218009013 Montecristi, Jaramijó 218009014 Cayambe 218009015 Rumiñahui 218009016 Ventanas, Quinsaloma 218009017 San Lorenzo, Eloy Alfaro 218009018 Mejía 218009019 Azogues, Déleg 218009020 Bolívar, Pichincha 218009021 Naranjal 218009022 Samborondón 218009023 Santa Ana, Olmedo 218009024 Salitre (Urbina Jado) 218009025 Baba 218009026 Paján 218009027 Puebloviejo 218009028 Pedro Moncayo 218009029 Urdaneta 218009030 24 de Mayo 218009031 Muisne 218010001 Ibarra, Pimampiro, San Miguel de Urcuquí 218010002 Otavalo 218010003 Cotacachi, Las Golondrinas 218010004 Antonio Ante 218011001 Loja, Catamayo 218011002 Calvas, Espíndola, Macará, Sozoranga, Quilanga 218011003 Celica, Puyango, Zapotillo, Pindal 218011004 Chaguarpamba, Gonzanamá, Paltas, Olmedo 218011005 Saraguro 218014001 Morona, Palora, Santiago, Sucúa, Huamboya, Taisha, Logroño, Pablo Sexto, Tiwintza 218014002 Gualaquiza, Limón Indanza, San Juan Bosco 218016001 Mera, Santa Clara, Arajuno, Pastaza 218018001 Ambato, Cevallos, Mocha, Quero, Tisaleo 218018002 Patate, San Pedro de Pelileo 218018003 Santiago de Píllaro 218018004 Baños de Agua Santa 218019001 Zamora, Chinchipe, Nangaritza, Yacuambi, Yantzaza (Yanzatza), El Pangui, Centinela del Condór, Palanda, Paquisha 218021001 Tena, Archidona, El Chaco, Quijos, Carlos Julio Arosemena Tola, Lago Agrio, Gonzalo Pizarro, Putumayo, Shushufindi, Sucumbíos, Cascales, Cuyabeno, Orellana, Aguarico, La Joya de los Sachas, Loreto 218099999 Unknown Geography: A-E Variables -- HOUSEHOLD Ecuador, Canton 1982 [Level 2, GIS] GEO2_EC1982 identifies the household's canton within Ecuador in 1982. Cantons are the second level administrative units of the country, after provinces. A GIS map (in shapefile format), corresponding to GEO2_EC1982 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Ecuador 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. 010001 Montúfar 010002 Tulcán 010003 Espejo, Mira 011001 Ibarra, Pimampiro 011002 Cotachachi 011003 Otavalo 011004 Antonio Ante 012001 Quito 012002 Santo Domingo de los Colorados 012003 Rumiñahui 012004 Cayambe 012005 Pedro Moncayo 012006 Mejía 013001 Pujilí 013002 Latacunga 013003 Saquisilí 013004 Salcedo 013005 Pangua 014001 Baños 014002 Ambato, Quero 014003 Santiago de Píllaro 014004 Patate, San Pedro de Pelileo 015001 Guaranda 015002 San Miguel 015003 Chillanes 015004 Chimbo 016001 Riobamba 016002 Alausí, Chunchi 016003 Colta 016004 Guano 016005 Guamote 017001 Cañar 017002 Biblián 017003 Azogues 018001 Cuenca 018002 Sigsig 018003 Girón 018004 Paute 018005 Santa Isabel 018006 Gualaceo 019001 Paltas 019002 Gonzanamá 019003 Saraguro 019004 Puyango, Zapotillo 019005 Celica 019006 Calvas, Espíndola 019007 Macará, Sozoranga 019008 Loja, Catamayo 020001 Esmeraldas 020002 Quinindé 020003 Eloy Alfarg 020004 San Lorenzo 020005 Muisne 021001 24 de Mayo 021002 Jipijapa 021003 Junín, Rocafuerte 021004 Santa Ana 021005 Paján 021006 Portoviejo 021007 Manta 021008 Chone 021009 Sucre 021010 Bolívar 021011 Montecristi 022001 Babahoyo 022002 Puebloviejo 022003 Urdaweta 022004 Baba 022005 Ventanas 022006 Quevedo 022007 Vinces 023001 Balzar 023002 El Empalme 023003 Guayaquil 023004 Naranjito, Yaguachi 023005 Milagro 023006 Salinas 023007 Santa Elena 023008 Naranjal 023009 Samborondón 023010 Daule 023011 Urbina Jado 023012 San Cristóbal, Isabela, Santa Cruz 024001 Piñas 024002 Portovelo, Zaruma 024003 Pasaje 024004 Arenillas, Huaquillas 024005 Machala 024006 El Guabo 024007 Santa Rosa 030001 Aguarico, Archidona, Orellana, Quijos, Sucumbíos 030002 Lago Agrio, Putumayo 030003 Tena 031001 Pastaza, Mera 032001 Gualaquiza, Limón Indanza 032002 Murona, Palora, Santiago, Sucúa 033001 Zamora, Chinchipe, Yacuambi, Yantzaza 041001 Disputed Zones, Disputed Zones [unknown] Geography: A-E 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 Number of rooms ROOMS indicates the number of rooms occupied by the housing unit. 00 Part of a room; no rooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Kitchen or cooking facilities KITCHEN indicates whether the household had a kitchen, cooking facilities, or room dedicated to food preparation. 00 NIU (not in universe) 10 No kitchen 11 Food is prepared in a non-kitchen room 13 Does not prepare food in the dwelling 20 Yes, have a kitchen 21 Kitchen located inside the dwelling 22 Indoor kitchen, exclusive use 23 Indoor kitchen, shared use 24 Exclusive use of kitchen (indoor/outdoor status not specified) 25 Shared use of kitchen with another household (indoor/outdoor status not specified) 26 Kitchen located outside the dwelling 27 Outdoor kitchen, exclusive use 28 Outdoor kitchen, shared use 99 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Toilet TOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation. 00 NIU (not in universe) 10 No toilet 11 No flush toilet 20 Have toilet, type not specified 21 Flush toilet 22 Non-flush, latrine 23 Non-flush, other and unspecified 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Floor material FLOOR indicates the dwelling's predominant flooring material. 000 NIU (not in universe) 100 None/unfinished (earth) 110 Sand 120 Dung 200 Finished 201 Cement, tile, or brick 202 Cement 203 Concrete 204 Cement screed 205 Ceramic tile 206 Paving stone, cement tile 207 Stone 208 Brick 209 Brick or stone 210 Brick or cement 211 Block 212 Terrazzo 213 Wood 214 Palm, bamboo 215 Parquet 216 Parquet, tile, vinyl 217 Parquet, tile, marble 218 Ceramic, marble, granite 219 Ceramic, marble, tile, or vinyl 220 Marble 221 Mosaic 222 Tile 223 Tile, linoleum, ceramic, etc 224 Tile, cement 225 Tile, stone 226 Tile, stone, brick 227 Tile, stone, vinyl, brick 228 Tile, vinyl, brick 229 Tile, vinyl 230 Vinyl, linoleum, etc 231 Asphalt sheet, vinyl, etc 232 Synthetic, plastic 233 Cane 234 Carpet, rug 235 Scrap material 236 Other finished, n.e.c. 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/household number Ecuador 1982: All households This variable indicates the dwelling's and household's unique ID in the sample. This is a 7-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Number of persons in household Ecuador 1982: All households This variable indicates the total number of person records in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 Technical Household Variables -- HOUSEHOLD Household created by splitting apart a large dwelling Ecuador 1982: All households This variable indicates that the household was created by splitting apart a large dwelling. 0 No problem 1 Yes (original dwelling had 31+ persons) Technical Household Variables -- HOUSEHOLD Type of dwelling <svar v="EC82A016" a="all">1. Dwelling type<br /><div class="i1">Private</div><br /><div class="i2">[] 01 House or villa<br />[] 02 Apartment<br />[] 03 Rooms in a tenement<br />[] 04 <span class="lang">Mediagua</span> (small unit with sloped roof )<br />[] 05 <span class="lang">Rancho</span> (poor construction possibly with cane or straw roof) or shack (<span class="lang">covacha</span>)<br />[] 06 Rustic cabin (<span class="lang">choza</span>)<br />[] 07 Others<br />[] 08 Places not intended for use as a dwelling</div><br /><div class="i1">Collective</div><br /><div class="i2">[] 11 Hotel, inn or boarding house<br />[] 12 Military or police barracks<br />[] 13 Hospital, clinic, etc.<br />[] 14 Convent, religious institution<br />[] 15 Others</div><br /><br /><span class="em">If a collective dwelling, skip to questions on population. </span><br /></svar> <svar v="EC82A016" a="all"><span class="em">Question 1. Type of dwelling</span><br /><br /><span class="em">Private</span><br /><br />You should identify the type of dwelling and mark with an X the appropriate box.<br /><br />You will make an X in others when dealing with dwellings such as: barges, kiosks, booths (<span class="lang">casetas</span>), caves, boxcars, etc.<br /><br />You will mark as <span class="em">Premises not intended for use as a dwelling</span> those places that are inhabited and which have not been constructed as a dwelling, like granaries, wineries, garages, etc.<br /><br />[Alongside these written instructions in the rural manual are drawings representing the eight different types of private dwellings from the enumeration form.]<br /><br /><span class="em">Collective</span><br /><br />If it is a collective dwelling, mark an X in the corresponding box and <span class="em">continue directly to the questions on population.</span> In such cases the characteristics of the building are not of interest, only the data on the people that live in these dwellings.<br /></svar> Ecuador 1982: All households This variable indicates the type of dwelling as private or collective. It also specifies the kind of private or collective dwelling such as apartment, room in a tenement, hospital, hotel, etc. 01 House or villa 02 Apartment 03 Room in a tenement 04 Mediagua (construction with sloped roof) 05 Rancho(poor construction) or covacha (shack) 06 Rustic cabin 07 Other private 08 Not intended for use as a dwelling 09 Unknown private 11 Hotel, boarding house or inn 12 Barracks 13 Hospital 14 Convent 15 Other collective 16 Indigent collective 99 Unknown collective Group Quarters Variables -- HOUSEHOLD Dwelling occupancy status <svar v="EC82A017" a="all">2. Occupancy of the dwelling<br /><div class="i1">[] 1 Occupied, with people present<br />[] 2 Occupied, with people absent<br />[] 3 Unoccupied<br />[] 4 Under construction</div><br /></svar> <svar v="EC82A017" a="all"><span class="em">Question 2. Occupancy condition of the dwelling</span><br /><br />Mark box 1 if the members of the household are in the dwelling.<br /><br />If there are only minors, return when there is an adult home.<br /><br />Mark box 2 if you see that the dwelling is occupied but the residents are not present. If you find out that the absence is momentary, return to the dwelling to take the information.<br /><br /><span class="pg">[p. 19]</span><br /><br />Mark box 3 in the case of dwellings which, because of being for rent, under repair, recently constructed, etc. are unoccupied.<br /><br />Put an X in box 4 for dwellings that are in any stage of construction and which are not inhabited. If you mark box 3 or 4, don't take any more information.<br /><br />You can fill in the questions corresponding to type of dwelling and occupancy condition of the dwelling just based on observation.<br /></svar> Ecuador 1982: Private dwellings [discrepancies: none] This variable indicates if the dwelling was occupied and there were persons present during enumeration. 0 NIU (not in universe) 1 Occupied with individuals present 2 Occupied without individuals present 3 Unoccupied 4 Under construction Technical Household Variables -- HOUSEHOLD Predominant roof material <svar v="EC82A018 EC82A019 EC82A020" a="all">3. Predominant materials in the dwelling<br /></svar></p> <p><svar v="EC82A018" a="all"><div class="i1">A. Roof or covering</div><br /><div class="i2">[] 1 Reinforced cement roof (<span class="lang">Losa de hormigón</span>)<br />[] 2 Asbestos (<span class="lang">Eternit</span>), Ardex or similar<br />[] 3 Zinc or similar<br />[] 4 Tile<br />[] 5 Straw or similar<br />[] 6 Other materials</div><br /></svar> <svar v="EC82A018 EC82A019 EC82A020" a="all"><span class="em">Question 3. Predominant materials in the dwelling. </span><br /><br />Record the material used to construct the roof of the building (where the dwelling is found), the exterior walls, and the floor of the dwelling.<br /></svar> Ecuador 1982: Occupied private dwellings [discrepancies: none] This variable indicates the predominant material used in the roof of dwelling. 0 NIU (not in universe) 1 Reinforced cement roof 2 Eternit 3 Zinc or similar 4 Tile 5 Straw or similar 6 Others Dwelling Characteristics Variables -- HOUSEHOLD Predominant wall material <svar v="EC82A018 EC82A019 EC82A020" a="all">3. Predominant materials in the dwelling<br /></svar></p> <p><svar v="EC82A019" a="all"><div class="i1">B. Exterior walls</div><br /><div class="i2">[] 1 Cement, brick or block<br />[] 2 Adobe or mud wall (<span class="lang">tapia</span>)<br />[] 3 Wood<br />[] 4 Covered cane<br />[] 5 Uncovered cane<br />[] 6 Other materials</div><br /></svar> <svar v="EC82A018 EC82A019 EC82A020" a="all"><span class="em">Question 3. Predominant materials in the dwelling. </span><br /><br />Record the material used to construct the roof of the building (where the dwelling is found), the exterior walls, and the floor of the dwelling.<br /></svar> Ecuador 1982: Occupied private dwellings [discrepancies: none] This variable indicates the predominant material used in the walls of dwelling. 0 NIU (not in universe) 1 Cement, brick or block 2 Adobe or mud 3 Wood 4 Covered cane 5 Uncovered cane 6 Others Dwelling Characteristics Variables -- HOUSEHOLD Predominant floor material <svar v="EC82A018 EC82A019 EC82A020" a="all">3. Predominant materials in the dwelling<br /></svar></p> <p><svar v="EC82A020" a="all"><div class="i1">C. Floor</div><br /><div class="i2">[] 1 Wood<br />[] 2 Parquet, floor tile or vinyl<br />[] 3 Brick or cement<br />[] 4 Cane<br />[] 5 Earth<br />[] 6 Other materials</div><br /></svar> <svar v="EC82A018 EC82A019 EC82A020" a="all"><span class="em">Question 3. Predominant materials in the dwelling. </span><br /><br />Record the material used to construct the roof of the building (where the dwelling is found), the exterior walls, and the floor of the dwelling.<br /></svar> Ecuador 1982: Occupied private dwellings [discrepancies: none] This variable indicates the predominant material used in the floors of dwelling. 0 NIU (not in universe) 1 Wood plank 2 Parquet 3 Brick or cement 4 Cane 5 Earth 6 Others Dwelling Characteristics Variables -- HOUSEHOLD Ownership <svar v="EC82A021" a="all">4. Tenure of the dwelling<br /><div class="i1">The dwelling is:<br /><br />[] 1 Owned<br />[] 2 Rented<br />[] 3 Free<br />[] 4 For services<br />[] 5 Other (for example, sharecropping)</div><br /></svar> <svar v="EC82A021" a="all"><span class="em">Question 4. Tenure of the dwelling. </span><br /><br /><span class="em">The dwelling is?:</span><br /><br />Ask if the dwelling is owned, rented, free, etc. and put an X in the appropriate box.<br /></svar> Ecuador 1982: Occupied private dwellings [discrepancies: none] This variable indicates ownership status of the dwelling. 0 NIU (not in universe) 1 Owned 2 Rented 3 Free 4 For services 5 Others Household Economic Variables -- HOUSEHOLD Water supply <svar v="EC82A022" a="all">5. Water is supplied to the dwelling via:<br /><div class="i1">Public system</div><br /><div class="i2">[] 1 Inside the dwelling<br />[] 2 Outside the dwelling but within the building<br />[] 3 Outside of the building</div><br /><div class="i1">Other sources:</div><br /><div class="i2">[] 4 Well or spring<br />[] 5 River or stream<br />[] 6 Delivery truck<br />[] 7 Other</div><br /></svar> <svar v="EC82A022" a="all"><span class="em">Question 5. The water supply in the dwelling is</span><br /><br />Mark an X in the box that corresponds to the type of water supply.<br /><br /><span class="pg">[p. 20]</span><br /><br />From a <span class="em">public network</span> if the water arrives at the dwelling through pipes. In this case it can be:<br /><br /><div class="i1">Inside the dwelling,<br />Outside of the dwelling but in the building,<br />Outside of the building.</div><br /><br />From <span class="em">other sources </span> when the dwelling is supplied by a well or by spring-water, by a river or irrigation ditch, by a water truck, cistern, etc. [Rural manual: in the case of others, specify, ex.: rainwater.]<br /></svar> Ecuador 1982: Occupied private dwellings [discrepancies: none] This variable indicates the method by which the dwelling receives water. 0 NIU (not in universe) 1 Indoors 2 Outside within building 3 Outside of building 4 Well 5 River or irrigation channel 6 Delivery truck 7 Other Utilities Variables -- HOUSEHOLD Toilet facilities <svar v="EC82A023" a="all">6. What toilet facilities (W.C.) are available in the dwelling?<br /><div class="i1">[] 1 Toilet for exclusive use of the dwelling<br />[] 2 Shared use toilet<br />[] 3 Latrine<br />[] 4 None</div><br /></svar> <svar v="EC82A023" a="all"><span class="em">Question 6. What availability to toilet facilities does the dwelling have?</span><br /><br /><span class="em">It is a toilet exclusively used by the dwelling </span>if it is used only by the people in the dwelling being investigated.<br /><br />Those used by members of more than one dwelling are <span class="em">common-use toilets</span>.<br /><br />A <span class="em">latrine</span> is a hole that serves as a receptacle for excrement, generally covered by an outhouse.<br /><br />Mark the box <span class="em">none</span> if the dwelling doesn't have any of the facilities previously mentioned.<br /></svar> Ecuador 1982: Occupied private dwellings [discrepancies: none] This variable indicates the availability of toilet facilities for use by the household. 0 NIU (not in universe) 1 Toilet exclusive use 2 Toiled shared use 3 Latrine 4 None Dwelling Characteristics Variables -- HOUSEHOLD Wastewater <svar v="EC82A024" a="all">7. The wastewater elimination system for this dwelling is:<br /><div class="i1">[] 1 By public sewer system<br />[] 2 Septic tank<br />[] 3 None</div><br /></svar> <svar v="EC82A024" a="all"><span class="em">Question 7. The dwelling's system for wastewater elimination is? </span><br /><br />Mark box 1 <span class="em">by sewer</span> if the wastewater is eliminated by channeling.<br /><br />Mark box 2 <span class="em">septic tank </span>in the case of a hole in the ground, generally covered by an outhouse.<br /><br />When <span class="em">no elimination system</span> exists, mark box 3.<br /><br /><span class="pg">[p. 21]</span><br /></svar> Ecuador 1982: Occupied private dwellings [discrepancies: none] This variable indicates the dwelling's method of wastewater (sewage) removal. 0 NIU (not in universe) 1 Public network 2 Septic tank 3 None Utilities Variables -- HOUSEHOLD Electrical service <svar v="EC82A025" a="all">8. The electric service available in the dwelling is:<br /><div class="i1">[] 1 From public system<br />[] 2 From private generator<br />[] 3 None</div><br /></svar> <svar v="EC82A025" a="all"><span class="em">Question 8. The electrical service that the dwelling has is?</span><br /><br />Mark box 1 when the dwelling has electric lighting that comes from a public service network.<br /><br />Mark box 2 when the electric lighting comes from a private plant.<br /><br />If the dwelling doesn't have electrical service, mark box 3, <span class="em">none</span>.<br /></svar> Ecuador 1982: Occupied private dwellings [discrepancies: none] This variable indicates whether the dwelling had access to electrical service. 1 Public network 2 Private generator 3 None 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Number of rooms <svar v="EC82A026" a="all">9. How many rooms in total does the dwelling have?<br /><div class="i1">____ (Not including kitchen or bathroom)</div><br /></svar> <svar v="EC82A026" a="all"><span class="em">Question 9. How many total rooms does the dwelling have?</span><br /><br />Record the number of rooms in the dwelling without counting kitchens or bathrooms.<br /></svar> Ecuador 1982: Occupied private dwellings [discrepancies: none] This variable indicates the number of rooms in the dwelling. 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+ Dwelling Characteristics Variables -- HOUSEHOLD Number of sleeping rooms <svar v="EC82A027" a="all">10. Of these rooms, how many are used exclusively for sleeping?<br /><div class="i1">____</div><br /></svar> <svar v="EC82A027" a="all"><span class="em">Question 10. Of these, how many are used solely for sleeping?</span><br /><br />On the corresponding line, record the number of rooms that are used as bedrooms.<br /></svar> Ecuador 1982: Occupied private dwellings [discrepancies: none] This variable indicates the number of sleeping rooms in the dwelling. 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 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Separate kitchen <svar v="EC82A028" a="all">11. Does the dwelling have a separate room for cooking?<br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v="EC82A028" a="all"><span class="em">Question 11. Does the dwelling have a separate kitchen?</span><br /><br />Mark the <span class="em">yes</span>box even if the kitchen is also used as a dining room.<br /><br /></svar> Ecuador 1982: Occupied private dwellings [discrepancies: none] This variable indicates whether the household had a room used exclusively for cooking. 0 NIU (not in universe) 1 Yes 2 No Dwelling Characteristics Variables -- HOUSEHOLD Fuel used for cooking <svar v="EC82A029" a="all">12. What is the primary fuel used for cooking?<br /><div class="i1">[] 1 Kerosene or gasoline<br />[] 2 Wood or charcoal<br />[] 3 Gas<br />[] 4 Electricity<br />[] 5 Other<br />[] 6 None (no cooking)</div><br /></svar> <svar v="EC82A029" a="all"><span class="em">Question 12. What is the main fuel used for cooking? </span><br /><br />Mark an X in the appropriate box.<br /><br />If the dwelling uses no fuel or doesn't cook, mark box 6. [This phrase exists in the rural manual, but not in the urban one.]<br /></svar> Ecuador 1982: Occupied private dwellings [discrepancies: none] This variable indicates the fuel used for cooking. 0 NIU (not in universe) 1 Kerex or gasoline 2 Wood or charcoal 3 Natural gas 4 Electricity 5 Other 6 None Utilities Variables -- HOUSEHOLD Economic activity in the dwelling <svar v="EC82A030" a="all">13. Is any part of the dwelling used for handcrafts, small industry, business or other activities?<br /><div class="i1">[] 1 Only handcrafts<br />[] 2 Only small industry<br />[] 3 Only business<br />[] 4 Business and handcrafts<br />[] 5 Business and small industry<br />[] 6 Other activities<br />[] 7 Dwelling only</div><br /></svar> <svar v="EC82A030" a="all"><span class="em">Question 13. Is part of the dwelling used for handicrafts, small industry, business or other activities? </span><br /><br />Note if part of the dwelling is used for one of the alternatives listed or if it is only a dwelling.<br /></svar> Ecuador 1982: Occupied private dwellings [discrepancies: none] This variable indicates the type of economic activity in the dwelling. 0 NIU (not in universe) 1 Only handicrafts 2 Small industry 3 Commerce 4 Commerce/handicrafts 5 Commerce/industry 6 Other activities 7 Only dwelling Household Economic Variables -- HOUSEHOLD Strata Ecuador 1982: All households This variable is the strata identifier for the sample. Strata is a constructed variable that captures implicit geographic stratification resulting from the sample design. It is created by assigning a unique identifier to groups of between 10 and 19 adjacent households. Additional documentation is available on the Variance Estimation page. This is a 5-digit numeric variable with 0 implied decimal places Geography: A-E Variables -- HOUSEHOLD Person number PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database. PERNUM is a 4-digit numeric variable. Technical Person Variables -- PERSON Person weight PERWT indicates the number of persons in the actual population represented by the person in the sample. For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population. NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Person Variables -- PERSON Mother's location in household MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers. The method by which probable child-mother links are identified is described in PARRULE. The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of MOMLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships. To restrict MOMLOC to biological mothers, such as for own children fertility estimation, MOMLOC should be reset to zero when STEPMOM is greater than zero. MOMLOC is a 3-digit numeric variable. Codes0 = No mother of this person present in the household. 1 or higher = The person number of this person's mother Constructed Family Interrelationship Variables -- PERSON Father's location in household POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers. The method by which probable child-father links are identified is described in PARRULE. The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of POPLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships. To restrict POPLOC to biological mothers, such as for own children fertility estimation, POPLOC should be reset to zero when STEPPOP is greater than zero. POPLOC is a 3-digit numeric variable. Codes0 = No father of this person present in the household. 1 or higher = The person number of this person's father Constructed Family Interrelationship Variables -- PERSON Spouse's location in household SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses. The method by which probable spouse-spouse links are identified is described in SPRULE. The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. For more details on the construction of SPLOC, see the Comparability section of SPRULE and this paper on IPUMSI family linking methodology. SPLOC is a 3-digit numeric variable. Codes0 = No spouse of this person present in the household. 1 or higher = The person number of this person's spouse Constructed Family Interrelationship Variables -- PERSON Rule for linking parent PARRULE describes the criteria by which the IPUMS International variables MOMLOC and POPLOC linked the person to a probable mother and/or father. IPUMS International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. 00 No parent of person in household 11 Link to head or spouse, unambiguous 12 Link to head or spouse, ambiguous 21 Child-Grandchild, within empirical child cap 22 Child-Grandchild, within constructed child cap 23 Child-Grandchild, exceeds child cap 31 Specified Other Relatives, within empirical child cap 32 Specified Other Relatives, within constructed child cap 33 Specified Other Relatives, exceeds child cap 41 Other Relatives, within empirical child cap 42 Other Relatives, within constructed child cap 51 Non-Relatives, within empirical child cap 52 Non-Relatives, within constructed child cap Constructed Family Interrelationship Variables -- PERSON Rule for linking spouse SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse. IPUMS International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. 00 No spouse present 01 Rule 1: strong relationship pairing, couple adjacent 02 Rule 2: strong relationship pairing, couple not adjacent 03 Rule 3: weak relationship pairing, couple adjacent 04 Rule 4: weak relationship pairing, couple not adjacent 05 Rule 5: weak consensual union pairings 06 Rule 6: sample-specific rules (usually child-to-child) Constructed Family Interrelationship Variables -- PERSON Probable stepmother STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household. The codes for STEPMOM are as follows: 0 = Biological mother or no mother of this person present in household. 1 = Mother has no children born or surviving. 2 = Child reports mother is deceased. 3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law). 4 = Mother reports no children in the home. 5 = Age difference between mother and child was less than 12 or greater than 54 years. 6 = Child exceeds known fertility of mother. In cases where more than one criterion for a likely stepmother is met, STEPMOM will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. In cases where a mother is linked to more children than she reports in CHBORN or CHSURV, the determination of which children to flag as probable stepchildren is based first on the strength of the child-mother pairing (see PARRULE), and then on the order of children in the household roster. Since most links to a given mother will be made at the same strength level, order will often be the decisive factor in flagging probable stepmother relationships. Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population. 0 Biological mother or no mother present 1 Mother has no children born or surviving 2 Child reports mother is deceased 3 Explicitly identified step relationship 4 Mother reports no children in the home 5 Age difference implausible 6 Child exceeds known fertility of mother Constructed Family Interrelationship Variables -- PERSON Probable stepfather STEPPOP indicates whether a person's father, as identified by POPLOC, was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household. The codes for STEPPOP are as follows: 0 = Biological father or no father of this person present in household. 1 = Child reports father is deceased. 2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law). 3 = Age difference between father and child was less than 12 or greater than 54 years. In cases where more than one criterion for a likely stepfather is met, STEPPOP will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population. 0 Biological father or no father present 1 Child reports father is deceased 2 Explicitly identified step relationship 3 Age difference implausible 4 Spouse of mother 5 Identified as adopted 6 Surname difference -- male child or never-married female Constructed Family Interrelationship Variables -- PERSON Man with more than one wife linked POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. 0 No more than one wife linked via SPLOC 1 More than one wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Woman is second or higher order wife POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated. The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. 0 Person is not the 2nd or higher order wife linked via SPLOC 1 Person is the 2nd or higher order wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Family unit membership FAMUNIT is a constructed variable indicating to which family within the household a person belongs. All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). FAMUNIT is a 4-digit numeric variable. CodesIf there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on. Constructed Family Interrelationship Variables -- PERSON Number of own family members in household FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them. FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membership). The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). 0001 1 family member present 0002 2 family members present 0003 3 family members present 0004 4 0005 5 0006 6 0007 7 0008 8 0009 9 0010 10 0011 11 0012 12 0013 13 0014 14 0015 15 0016 16 0017 17 0018 18 0019 19 0020 20 0021 21 0022 22 0023 23 0024 24 0025 25 0026 26 0027 27 0028 28 0029 29 0030 30 0031 31 0032 32 0033 33 0034 34 0035 35 0036 36 0037 37 0038 38 0039 39 0040 40 0041 41 0042 42 0043 43 0044 44 0045 45 0046 46 0047 47 0048 48 0049 49 0050 50 0051 51 0052 52 0053 53 0054 54 0055 55 0056 56 0057 57 0058 58 0059 59 0060 60 0061 61 0062 62 0063 63 0064 64 0065 65 0066 66 0067 67 0068 68 0069 69 0070 70 0071 71 0072 72 0073 73 0074 74 0075 75 0076 76 0077 77 0078 78 0079 79 0080 80 0081 81 0082 82 0083 83 0084 84 0085 85 0086 86 0087 87 0088 88 0089 89 0090 90 0091 91 0092 92 0093 93 0094 94 0095 95 0096 96 0097 97 0098 98 0099 99 or more persons Constructed Family Interrelationship Variables -- PERSON Number of own children in household NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more children in household Constructed Family Interrelationship Variables -- PERSON Number of own children under age 5 in household NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more own children under age 5 in household 98 One or more children have unknown age Constructed Family Interrelationship Variables -- PERSON Age of eldest own child in household ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. ELDCH is top-coded at age 50 or older. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Age of youngest own child in household YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. YNGCH is top-coded at age 50 or older. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Relationship to household head [general version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown Demographic Variables -- PERSON Relationship to household head [detailed version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1000 Head 2000 Spouse/partner 2100 Spouse 2200 Unmarried partner 2210 Civil union 2300 Same-sex spouse/partner 3000 Child 3100 Biological child 3200 Adopted child 3300 Stepchild 3400 Child/child-in-law 3500 Child/child-in-law/grandchild 3600 Child of unmarried partner 4000 Other relative 4100 Grandchild 4110 Grandchild or great grandchild 4120 Great grandchild 4130 Great-great grandchild 4200 Parent/parent-in-law 4210 Parent 4211 Stepparent 4220 Parent-in-law 4300 Child-in-law 4301 Daughter-in-law 4302 Spouse/partner of child 4310 Unmarried partner of child 4400 Sibling/sibling-in-law 4410 Sibling 4420 Stepsibling 4430 Sibling-in-law 4431 Sibling of spouse/partner 4432 Spouse/partner of sibling 4500 Grandparent 4510 Great grandparent 4600 Parent/grandparent/ascendant 4700 Aunt/uncle 4800 Other specified relative 4810 Nephew/niece 4820 Cousin 4830 Sibling's sibling-in-law 4900 Other relative, not elsewhere classified 4910 Other relative with same family name 4920 Other relative with different family name 4930 Other relative, not specified (secondary family) 5000 Non-relative 5100 Friend/guest/visitor/partner 5110 Partner/friend 5111 Friend 5112 Partner/roommate 5113 Housemate/roommate 5120 Visitor 5130 Ex-spouse 5140 Godparent 5150 Godchild 5200 Employee 5210 Domestic employee 5220 Relative of employee, n.s. 5221 Spouse of servant 5222 Child of servant 5223 Other relative of servant 5300 Roomer/boarder/lodger/foster child 5310 Boarder 5311 Boarder or guest 5320 Lodger 5330 Foster child 5340 Tutored/foster child 5350 Tutored child 5400 Employee, boarder, or guest 5500 Other specified non-relative 5510 Agregado 5520 Temporary resident, guest 5600 Group quarters 5610 Group quarters, non-inmates 5620 Institutional inmates 5900 Non-relative, n.e.c. 6000 Other relative or non-relative 9999 Unknown Demographic Variables -- PERSON Age AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. 000 Less than 1 year 001 1 year 002 2 years 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100+ 999 Not reported/missing Demographic Variables -- PERSON Age, grouped into intervals AGE2 gives computed years of age grouped into intervals. 01 0 to 4 02 5 to 9 03 10 to 14 04 15 to 19 05 0 to 5 06 6 to 10 07 10 to 15 08 11 to 14 09 15 to 17 10 16 to 19 11 18 to 24 12 20 to 24 13 25 to 29 14 30 to 34 15 35 to 39 16 40 to 44 17 45 to 49 18 50 to 54 19 55 to 59 20 60 to 64 21 65 to 69 22 70 to 74 23 75 to 79 24 80 to 84 25 85+ 98 Unknown Demographic Variables -- PERSON Sex SEX reports the sex (gender) of the respondent. 1 Male 2 Female 9 Unknown Demographic Variables -- PERSON Marital status [general version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 0 NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing Demographic Variables -- PERSON Marital status [detailed version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 000 NIU (not in universe) 100 Single/never married 110 Engaged 111 Never married and never cohabited 200 Married or consensual union 210 Married, formally 211 Married, civil 212 Married, religious 213 Married, civil and religious 214 Married, civil or religious 215 Married, traditional/customary 216 Married, monogamous 217 Married, polygamous 219 Married, spouse absent (historical samples) 220 Consensual union 300 Separated/divorced/spouse absent 310 Separated or divorced 320 Separated or annulled 330 Separated 331 Separated legally 332 Separated de facto 333 Separated from marriage 334 Separated from consensual union 335 Separated from consensual union or marriage 340 Annulled 350 Divorced 400 Widowed 410 Widowed or divorced 411 Widowed from consensual union or marriage 412 Widowed from marriage 413 Widowed from consensual union 420 Widowed, divorced, or separated 999 Unknown/missing Demographic Variables -- PERSON Consensual union CONSENS indicates whether the respondent was in a consensual union -- a de facto marriage. 1 Yes, in consensual union 2 No, married 8 Unknown 9 NIU (not in universe) Demographic Variables -- PERSON 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 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 Province of birth, Ecuador; [Level1: consistent boundaries, GIS] BPL1_EC indicates the person's province of birth in Ecuador. Birthplace province codes from BPL1_EC are compatible with codes from GEO1_EC. 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. 218001 Azuay 218002 Bolivar 218004 Carchi 218005 Cotopaxi 218006 Chimborazo 218007 El Oro 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 218010 Imbabura, Las Golondrinas [Disputed canton] 218011 Loja 218014 Morona Santiago 218016 Pastaza 218018 Tungurahua 218019 Zamora Chinchipe 218021 Napo, Orellana, Sucumbíos 218097 Foreign country 218098 Unknown and Disputed Zones Nativity and Birthplace Variables -- PERSON Canton of birth, Ecuador; [Level 2; consistent boundaries, GIS] BPL2_EC indicates the person's canton of birth in Ecuador. Birthplace canton codes from BPL2_EC are compatible with codes from GEO2_EC. 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. 218001001 Cuenca 218001002 Gualaceo, Chordeleg 218001003 Pucará, Santa Isabel, Camilo Ponce Enríquez 218001004 Paute, El Pan, Sevilla de Oro, Guachapala 218001005 Girón, Nabón, San Fernando, Oña 218001006 Sigsig 218001099 Azuay, unknown canton 218002001 Guaranda, Echeandía, Las Naves 218002002 Chillanes, San Miguel 218002003 Chimbo, Caluma 218004001 Tulcán, San Pedro de Huaca 218004002 Bolívar, Montúfar 218004003 Espejo, Mira 218005001 Latacunga, Sigchos 218005002 La Maná, Pujilí 218005003 Salcedo 218005004 Saquisilí 218005005 Pangua 218006001 Riobamba, Chambo 218006002 Alausí, Chunchi, Cumandá 218006003 Colta, Pallatanga 218006004 Guano, Penipe 218006005 Guamote 218007001 Machala, El Guabo 218007002 Arenillas, Huaquillas, Las Lajas 218007003 Chilla, Pasaje 218007004 Santa Rosa 218007005 Atahualpa, Portovelo, Zaruma 218007006 Balsas, Marcabelí, Piñas 218009001 El Carmen, Flavio Alfaro, Chone, Pedro Vicente, Maldonado, Sucre, San Miguel de los Bancos, Quito, Puerto Quito, Palestina, Colimes, Balzar, El Empalme, San Vicente, Jama, Mocache, Buena Fé, Valencia, Manga del cura, La Concordia, Quinindé, Atacames, Rioverde, Esmeraldas, Pedernales, Quevedo, Santo Domingo El Carmen, Flavio Alfaro, Chone, Pedro Vicente, Maldonado, Sucre, San Miguel de los Bancos, Quito, Puerto Quito, Palestina, Colimes, Balzar, El Empalme, San Vicente, Jama, Mocache, Buena Fé, Valencia, Manga del cura, La Concordia, Quinindé, Atacames, Rioverde, Esmeraldas, Pedernales, Quevedo, Santo Domingo 218009002 Guayaquil, Balao, Playas, Durán 218009003 Biblián, Cañar, La Troncal, El Tambo, Suscal, Alfredo Baquerizo Moreno (Jujan), El Triunfo, Milagro, Naranjito, San Jacinto de Yaguachi, Simón Bolívar, Coronel Marcelino Maridueña, General Antonio Elizalde, El Piedrero 218009004 Portoviejo 218009005 Daule, Pedro Carbo, Santa Lucía, Lomas de Sargentillo, Nobol, Isidro Ayora 218009006 Manta 218009007 Babahoyo, Montalvo 218009008 La Libertad, Salinas 218009009 Santa Elena, San Cristóbal, Isabela, Santa Cruz 218009010 Vinces, Palenque 218009011 Jipijapa, Puerto López 218009012 Junín, Rocafuerte, Tosagua 218009013 Montecristi, Jaramijó 218009014 Cayambe 218009015 Rumiñahui 218009016 Ventanas, Quinsaloma 218009017 San Lorenzo, Eloy Alfaro 218009018 Mejía 218009019 Azogues, Déleg 218009020 Bolívar, Pichincha 218009021 Naranjal 218009022 Samborondón 218009023 Santa Ana, Olmedo 218009024 Salitre (Urbina Jado) 218009025 Baba 218009026 Paján 218009027 Puebloviejo 218009028 Pedro Moncayo 218009029 Urdaneta 218009030 24 de Mayo 218009031 Muisne 218010001 Ibarra, Pimampiro, San Miguel de Urcuquí 218010002 Otavalo 218010003 Cotacachi, Las Golondrinas 218010004 Antonio Ante 218011001 Loja, Catamayo 218011002 Calvas, Espíndola, Macará, Sozoranga, Quilanga 218011003 Celica, Puyango, Zapotillo, Pindal 218011004 Chaguarpamba, Gonzanamá, Paltas, Olmedo 218011005 Saraguro 218014001 Morona, Palora, Santiago, Sucúa, Huamboya, Taisha, Logroño, Pablo Sexto, Tiwintza 218014002 Gualaquiza, Limón Indanza, San Juan Bosco 218016001 Mera, Santa Clara, Arajuno, Pastaza 218018001 Ambato, Cevallos, Mocha, Quero, Tisaleo 218018002 Patate, San Pedro de Pelileo 218018003 Santiago de Píllaro 218018004 Baños de Agua Santa 218019001 Zamora, Chinchipe, Nangaritza, Yacuambi, Yantzaza (Yanzatza), El Pangui, Centinela del Condór, Palanda, Paquisha 218021001 Tena, Archidona, El Chaco, Quijos, Carlos Julio Arosemena Tola, Lago Agrio, Gonzalo Pizarro, Putumayo, Shushufindi, Sucumbíos, Cascales, Cuyabeno, Orellana, Aguarico, La Joya de los Sachas, Loreto 218097097 Abroad 218098098 Unknown Nativity and Birthplace Variables -- PERSON School attendance SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census. 0 NIU (not in universe) 1 Yes 2 No, not specified 3 No, attended in the past 4 No, never attended 9 Unknown/missing Education Variables -- PERSON Literacy LIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both. 0 NIU (not in universe) 1 No, illiterate 2 Yes, literate 9 Unknown/missing Education Variables -- PERSON Educational attainment, international recode [general version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 0 NIU (not in universe) 1 Less than primary completed 2 Primary completed 3 Secondary completed 4 University completed 9 Unknown Education Variables -- PERSON Educational attainment, international recode [detailed version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 000 NIU (not in universe) 100 Less than primary completed (n.s.) 110 No schooling 120 Some primary completed 130 Primary (4 yrs) completed 211 Primary (5 yrs) completed 212 Primary (6 yrs) completed 221 Lower secondary general completed 222 Lower secondary technical completed 311 Secondary, general track completed 312 Some college completed 320 Secondary or post-secondary technical completed 321 Secondary, technical track completed 322 Post-secondary technical education 400 University completed 999 Unknown/missing Education Variables -- PERSON Years of schooling YRSCHOOL indicates the highest grade/level of schooling the person had completed, in years. Only formal schooling is counted. YRSCHOOL accounts for the number of years of study, regardless of the track or kind of study. Information on degree and/or technical track is available in EDATTAIN. Years of schooling for Israel, categorized into intervals, are given in YRSCHOOL2. Users should pay close attention to the top-codes in each sample, as discussed in the comparability section. 00 None or pre-school 01 1 year 02 2 years 03 3 years 04 4 years 05 5 years 06 6 years 07 7 years 08 8 years 09 9 years 10 10 years 11 11 years 12 12 years 13 13 years 14 14 years 15 15 years 16 16 years 17 17 years 18 18 years or more 90 Not specified 91 Some primary 92 Some technical after primary 93 Some secondary 94 Some tertiary 95 Adult literacy 96 Special education 98 Unknown/missing 99 NIU (not in universe) Education Variables -- PERSON Educational attainment, Ecuador EDUCEC indicates the person's educational attainment in Ecuador in terms of the level of schooling completed and the number of years completed at that level. 0000 None 1000 Literacy center 1001 Literacy center, 0 years 1002 Literacy center, 1 year 1003 Literacy center, 2 years 1004 Literacy center, 3 years 1005 Literacy center, 4 years 1006 Literacy center, 5 years 1008 Literacy center, 6 years 1009 Literacy center, unknown years 1010 Pre-school 2000 Primary 2100 Primary (old system) 2101 Primary, 0 years 2102 Primary, 1 year 2103 Primary, 2 years 2104 Primary, 3 years 2105 Primary, 4 years 2106 Primary, 5 years 2107 Primary, 6 years 2109 Primary, unknown years 2200 Basic (new system) 2201 Basic, 0 years 2202 Basic, 1 year 2203 Basic, 2 years 2204 Basic, 3 years 2205 Basic, 4 years 2206 Basic, 5 years 2207 Basic, 6 years 2208 Basic, 7 years 2209 Basic, 8 years 2210 Basic, 9 years 2211 Basic, 10 years 2299 Basic, unknown years 3000 Secondary 3100 Secondary (old system) 3101 Secondary, 0 years 3102 Secondary, 1 year 3103 Secondary, 2 years 3104 Secondary, 3 years 3105 Secondary, 4 years 3106 Secondary, 5 years 3107 Secondary, 6 years 3108 Secondary, 7 years 3109 Secondary, 8 years 3199 Secondary, unknown years 3200 Middle (new system) 3201 Middle, 0 years 3202 Middle, 1 year 3203 Middle, 2 years 3204 Middle, 3 years 3299 Middle, unknown years 3300 Post-primary technical (special education) 3301 Special education, 1 year 3302 Special education, 2 years 3303 Special education, 3 years 3304 Special education, 4 years 3305 Special education, 5 years 3306 Special education, 6 years 4000 Post-secondary 4001 Post-secondary, 0 years 4002 Post-secondary, 1 year 4003 Post-secondary, 2 years 4004 Post-secondary, 3 years 4005 Post-secondary, 4 years 4006 Post-secondary, 5 years 4007 Post-secondary, 6 years 4008 Post-secondary, 7 years 4009 Post-secondary, 8 years 4010 Post-secondary, 9 years 4099 Post-secondary, unknown years 4100 Technical college 4101 Technical college, 0 years 4102 Technical college, 1 year 4103 Technical college, 2 years 4104 Technical college, 3 years 4109 Technical college, unknown years 4200 University undergraduate 4201 University undergraduate, 0 years 4202 University undergraduate, 1 year 4203 University undergraduate, 2 years 4204 University undergraduate, 3 years 4205 University undergraduate, 4 years 4206 University undergraduate, 5 years 4207 University undergraduate, 6 years 4208 University undergraduate, 7 years 4209 University undergraduate, 8 years 4210 University undergraduate, 9 years 4299 University undergraduate, unknown years 4300 University graduate 4301 University graduate, 0 years 4302 University graduate, 1 year 4303 University graduate, 2 years 4304 University graduate, 3 years 4305 Year 4 4306 Year 5 4307 Year 6 4399 University graduate, unknown years 9997 Response suppressed 9998 Unknown 9999 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 1st subnational geographic level of previous residence, world [consistent boundaries over time] GEOMIG1_P indicates the major administrative unit in which the person previously resided prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of previous residence, to enable comparative analysis of subnational migration. Foreign migrants are coded 097 or 997. Codes for GEOMIG1_1 match the geographic codes in GEOLEV1 (current place of residence). For similar information for different time intervals since migration, see variables GEOMIG1_1, GEOMIG1_5, and GEOMIG1_10. More on migration and geography can be found here. 051901 Yerevan [Province: Armenia] 051902 Aragatsotn [Province: Armenia] 051903 Ararat [Province: Armenia] 051904 Armavir [Province: Armenia] 051905 Gegharkunik [Province: Armenia] 051906 Lori [Province: Armenia] 051907 Kotayk [Province: Armenia] 051908 Shirak [Province: Armenia] 051909 Syunik [Province: Armenia] 051910 Vayots Dzor [Province: Armenia] 051911 Tavush [Province: Armenia] 051912 Nagorno-Karabagh [Province: Armenia] 051997 Foreign country [Province: Armenia] 051998 Unknown [Province: Armenia] 051999 NIU (not in universe) [Province: Armenia] 112001 Brest [Region: Belarus] 112002 Vitebsk [Region: Belarus] 112003 Gomel [Region: Belarus] 112004 Grodno [Region: Belarus] 112006 Minsk, Minsk City [Region: Belarus] 112007 Mogilev [Region: Belarus] 112097 Foreign country [Region: Belarus] 112098 Unknown [Region: Belarus] 112099 NIU (not in universe) [Region: Belarus] 204001 Alibori [Department: Benin] 204002 Atacora [Department: Benin] 204003 Atlantique [Department: Benin] 204004 Borgou [Department: Benin] 204005 Collines [Department: Benin] 204006 Couffo [Department: Benin] 204007 Donga [Department: Benin] 204008 Littoral [Department: Benin] 204009 Mono [Department: Benin] 204010 Oueme [Department: Benin] 204011 Plateau [Department: Benin] 204012 Zou [Department: Benin] 204097 Abroad [Department: Benin] 204098 Unknown [Department: Benin] 204099 NIU (not in universe) [Department: Benin] 076011 Rondônia [State: Brazil] 076012 Acre [State: Brazil] 076013 Amazonas [State: Brazil] 076014 Roraima [State: Brazil] 076015 Pará [State: Brazil] 076016 Amapá [State: Brazil] 076021 Maranhão [State: Brazil] 076022 Piauí [State: Brazil] 076023 Ceará [State: Brazil] 076024 Rio Grande do Norte [State: Brazil] 076025 Paraíba [State: Brazil] 076026 Pernambuco, Arquipelago de Fernando de Noronha [State: Brazil] 076027 Alagoas [State: Brazil] 076028 Sergipe [State: Brazil] 076029 Bahia [State: Brazil] 076031 Minas Gerais [State: Brazil] 076032 Espírito Santo [State: Brazil] 076033 Rio de Janeiro, Guanabara [State: Brazil] 076035 São Paulo [State: Brazil] 076036 Serra dos Aimorés [State: Brazil] 076041 Paraná [State: Brazil] 076042 Santa Catarina [State: Brazil] 076043 Rio Grande do Sul [State: Brazil] 076051 Mato Grosso do Sul, Mato Grosso [State: Brazil] 076052 Goiás, Tocantins [State: Brazil] 076053 Distrito Federal [State: Brazil] 076054 Brazil, unspecified [State: Brazil] 076097 Abroad [State: Brazil] 076098 Unknown [State: Brazil] 076099 NIU (not in universe) [State: Brazil] 116001 Banteay Meanchey [Province: Cambodia] 116002 Battambang [Province: Cambodia] 116003 Kampong Cham, Tbong Khmum [Province: Cambodia] 116004 Kampong Chhnang [Province: Cambodia] 116005 Kampong Speu [Province: Cambodia] 116006 Kampong Thom [Province: Cambodia] 116007 Kampot [Province: Cambodia] 116008 Phnom Penh, Kandal [Province: Cambodia] 116009 Koh Kong, Preah Sihanouk [Province: Cambodia] 116010 Kratie [Province: Cambodia] 116011 Mondul Kiri [Province: Cambodia] 116013 Preah Vihear [Province: Cambodia] 116014 Prey Veng [Province: Cambodia] 116015 Pursat [Province: Cambodia] 116016 Ratanak Kiri [Province: Cambodia] 116017 Siem Reap, Otdar Meanchey [Province: Cambodia] 116019 Stung Treng [Province: Cambodia] 116020 Svay Rieng [Province: Cambodia] 116021 Takeo [Province: Cambodia] 116023 Kep [Province: Cambodia] 116024 Pailin [Province: Cambodia] 116097 Foreign country [Province: Cambodia] 116098 Unknown [Province: Cambodia] 116099 NIU (not in universe) [Province: Cambodia] 120002 Centre, Sud [Province: Cameroon] 120003 Est [Province: Cameroon] 120004 Nord, Adamoua, Extrème Nord [Province: Cameroon] 120005 Littoral [Province: Cameroon] 120007 Nord Ouest [Province: Cameroon] 120008 Ouest [Province: Cameroon] 120010 Sud Ouest [Province: Cameroon] 120096 Cameroon - unknown arrondissement [Province: Cameroon] 120097 Foreign country [Province: Cameroon] 120098 Unknown [Province: Cameroon] 120099 NIU (not in universe) [Province: Cameroon] 152001 Tarapaca [Province: Chile] 152002 Antofagasta [Province: Chile] 152003 Atacama [Province: Chile] 152004 Coquimbo [Province: Chile] 152005 Aconcagua [Province: Chile] 152006 Valparaíso [Province: Chile] 152007 Santiago [Province: Chile] 152008 O'Higgins [Province: Chile] 152009 Colchagua [Province: Chile] 152010 Curicó [Province: Chile] 152011 Talca [Province: Chile] 152012 Maule [Province: Chile] 152013 Linares [Province: Chile] 152014 Ñuble [Province: Chile] 152015 Concepción [Province: Chile] 152016 Arauco [Province: Chile] 152017 Bío Bío [Province: Chile] 152018 Malleco [Province: Chile] 152019 Cautín [Province: Chile] 152020 Valdivia [Province: Chile] 152021 Osorno [Province: Chile] 152022 Llanquihue [Province: Chile] 152023 Chiloé [Province: Chile] 152024 Aysén [Province: Chile] 152025 Magallanes [Province: Chile] 152097 Foreign country [Province: Chile] 152098 Unknown [Province: Chile] 152099 NIU (not in universe) [Province: Chile] 170005 Antioquia [Department: Colombia] 170008 Atlántico [Department: Colombia] 170011 Bogotá D.C., Cundinamarca [Department: Colombia] 170013 Bolívar, Sucre [Department: Colombia] 170015 Boyacá, Casanare [Department: Colombia] 170018 Caquetá [Department: Colombia] 170019 Cauca [Department: Colombia] 170023 Córdoba [Department: Colombia] 170027 Chocó [Department: Colombia] 170041 Huila [Department: Colombia] 170044 La Guajira [Department: Colombia] 170050 Meta [Department: Colombia] 170052 Nariño [Department: Colombia] 170054 Cesar, Norte De Santander, Magdalena [Department: Colombia] 170066 Caldas, Quindío, Risaralda [Department: Colombia] 170068 Santander [Department: Colombia] 170073 Tolima [Department: Colombia] 170076 Valle Del Cauca [Department: Colombia] 170081 Arauca [Department: Colombia] 170086 Putumayo [Department: Colombia] 170088 Archipiélago De San Andrés Y Providencia [Department: Colombia] 170095 Amazonas, Guaviare, Vaupés, Vichada, Guainía [Department: Colombia] 170097 Abroad [Department: Colombia] 170098 Unknown [Department: Colombia] 188001 San José [Province: Costa Rica] 188002 Alajuela [Province: Costa Rica] 188003 Cartago [Province: Costa Rica] 188004 Heredia [Province: Costa Rica] 188005 Guanacaste [Province: Costa Rica] 188006 Puntarenas [Province: Costa Rica] 188007 Limón [Province: Costa Rica] 188097 Foreign country [Province: Costa Rica] 188098 Unknown [Province: Costa Rica] 192021 Pinar del Río, Artemisa, Mayabeque [Province: Cuba] 192023 La Habana [Province: Cuba] 192025 Matanzas [Province: Cuba] 192026 Villa Clara [Province: Cuba] 192027 Cienfuegos [Province: Cuba] 192028 Sancti Spíritus [Province: Cuba] 192029 Ciego de Ávila [Province: Cuba] 192030 Camagüey [Province: Cuba] 192031 Las Tunas [Province: Cuba] 192032 Holguín [Province: Cuba] 192033 Granma [Province: Cuba] 192034 Santiago de Cuba [Province: Cuba] 192035 Guantánamo [Province: Cuba] 192040 Isla de la Juventud [Province: Cuba] 192997 Abroad [Province: Cuba] 192998 Unknown [Province: Cuba] 192999 NIU (not in universe) [Province: Cuba] 218001 Azuay [Province: Ecuador] 218002 Bolívar [Province: Ecuador] 218004 Carchi [Province: Ecuador] 218005 Cotopaxi [Province: Ecuador] 218006 Chimborazo [Province: Ecuador] 218007 El Oro [Province: Ecuador] 218009 Cañar, Esmeraldas, Guayas, Manabí, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los Ríos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos [Province: Ecuador] 218010 Imbabura, Las Golondrinas [Disputed canton] [Province: Ecuador] 218011 Loja [Province: Ecuador] 218014 Morona Santiago [Province: Ecuador] 218016 Pastaza [Province: Ecuador] 218018 Tungurahua [Province: Ecuador] 218019 Zamora Chinchipe [Province: Ecuador] 218021 Napo, Orellana, Sucumbíos [Province: Ecuador] 218097 Foreign country [Province: Ecuador] 218098 Unknown and Disputed Zones [Province: Ecuador] 218999 NIU (not in universe) [Province: Ecuador] 818000 Reported same governorate as household location [Governorate: Egypt] 818001 Giza, 6th October City, Cairo, Helwan [Governorate: Egypt] 818002 Alexandria [Governorate: Egypt] 818003 Port Said [Governorate: Egypt] 818004 Suez [Governorate: Egypt] 818011 Demietta [Governorate: Egypt] 818012 Dakahlia [Governorate: Egypt] 818013 Sharkia [Governorate: Egypt] 818014 Kaliobia [Governorate: Egypt] 818015 Kafr Sheikh [Governorate: Egypt] 818016 Gharbia [Governorate: Egypt] 818018 Menoufia, Behera [Governorate: Egypt] 818019 Ismailia [Governorate: Egypt] 818022 Bani Swif [Governorate: Egypt] 818023 Fayoum [Governorate: Egypt] 818024 Menia [Governorate: Egypt] 818025 Asiut [Governorate: Egypt] 818026 Sohag [Governorate: Egypt] 818027 Qena, Luxor [Governorate: Egypt] 818028 Aswan [Governorate: Egypt] 818031 Red Sea [Governorate: Egypt] 818032 New Valley [Governorate: Egypt] 818033 Marsa Matroh [Governorate: Egypt] 818034 North Sinai [Governorate: Egypt] 818035 South Sinai [Governorate: Egypt] 818097 Abroad [Governorate: Egypt] 818098 Unknown [Governorate: Egypt] 818099 NIU (not in universe) [Governorate: Egypt] 222001 Ahuachapán [Department: El Salvador] 222002 Santa Ana [Department: El Salvador] 222003 Sonsonate [Department: El Salvador] 222004 Chalatenango [Department: El Salvador] 222005 La Libertad [Department: El Salvador] 222006 San Salvador [Department: El Salvador] 222007 Cuscatlán [Department: El Salvador] 222008 La Paz [Department: El Salvador] 222009 Cabañas [Department: El Salvador] 222010 San Vicente [Department: El Salvador] 222011 Usulután [Department: El Salvador] 222012 San Miguel [Department: El Salvador] 222013 Morazán [Department: El Salvador] 222014 La Unión [Department: El Salvador] 222098 Abroad [Department: El Salvador] 222099 NIU (not in universe) [Department: El Salvador] 231001 Tigray [Region: Ethiopia] 231002 Affar [Region: Ethiopia] 231003 Amhara [Region: Ethiopia] 231004 Oromia, Somali [Region: Ethiopia] 231006 Benishangul-Gumuz [Region: Ethiopia] 231007 Southern Nations, Nationalities, and Peoples (SNNP) [Region: Ethiopia] 231012 Gambela [Region: Ethiopia] 231013 Harari [Region: Ethiopia] 231014 Addis Ababa [Region: Ethiopia] 231015 Dire Dawa [Region: Ethiopia] 231097 Abroad [Region: Ethiopia] 231099 NIU [Region: Ethiopia] 250001 Guadeloupe [Region: France] 250002 Martinique [Region: France] 250003 French Guyana [Region: France] 250004 Réunion Island [Region: France] 250011 Île-de-France [Region: France] 250021 Champagne-Ardenne [Region: France] 250022 Picardy [Region: France] 250023 Upper Normandy [Region: France] 250024 Centre [Region: France] 250025 Lower Normandy [Region: France] 250026 Burgundy [Region: France] 250031 North Pas-de-Calais [Region: France] 250041 Lorraine [Region: France] 250042 Alsace [Region: France] 250043 Franche-Comté [Region: France] 250052 Loire Valley [Region: France] 250053 Brittany [Region: France] 250054 Poitou-Charentes [Region: France] 250072 Aquitaine [Region: France] 250073 Midi-Pyrénées [Region: France] 250074 Limousin [Region: France] 250082 Rhône-Alpes [Region: France] 250083 Auvergne [Region: France] 250091 Languedoc-Roussillon [Region: France] 250093 Provence-Alpes-Riviera [Region: France] 250094 Corsica [Region: France] 250097 Abroad [Region: France] 320001 Guatemala [Department: Guatemala] 320002 El Progreso [Department: Guatemala] 320003 Sacatepéquez [Department: Guatemala] 320004 Chimaltenango [Department: Guatemala] 320005 Escuintla [Department: Guatemala] 320006 Santa Rosa [Department: Guatemala] 320007 Sololá [Department: Guatemala] 320008 Totonicapán [Department: Guatemala] 320009 Quetzaltenango [Department: Guatemala] 320010 Suchitepéquez [Department: Guatemala] 320011 Retalhuleu [Department: Guatemala] 320012 San Marcos [Department: Guatemala] 320013 Huehuetenango [Department: Guatemala] 320014 Quiché [Department: Guatemala] 320015 Baja Verapaz [Department: Guatemala] 320016 Alta Verapaz [Department: Guatemala] 320017 Petén [Department: Guatemala] 320018 Izabal [Department: Guatemala] 320019 Zacapa [Department: Guatemala] 320020 Chiquimula [Department: Guatemala] 320021 Jalapa [Department: Guatemala] 320022 Jutiapa [Department: Guatemala] 320097 Foreign Country [Department: Guatemala] 320098 Unknown [Department: Guatemala] 320099 NIU [Department: Guatemala] 324011 Boffa [Region: Guinea] 324012 Boké [Region: Guinea] 324013 Fria [Region: Guinea] 324014 Gaoual [Region: Guinea] 324015 Koundara [Region: Guinea] 324021 Conakry [Region: Guinea] 324031 Dabola [Region: Guinea] 324032 Dinguiraye [Region: Guinea] 324033 Faranah [Region: Guinea] 324034 Kissidougou [Region: Guinea] 324041 Kankan [Region: Guinea] 324042 Kérouané [Region: Guinea] 324043 Kouroussa [Region: Guinea] 324044 Mandiana [Region: Guinea] 324045 Siguiri [Region: Guinea] 324051 Coyah, Dubréka [Region: Guinea] 324053 Forécariah [Region: Guinea] 324054 Kindia [Region: Guinea] 324055 Télimélé [Region: Guinea] 324061 Koubia [Region: Guinea] 324062 Labé [Region: Guinea] 324063 Lélouma [Region: Guinea] 324064 Mali [Region: Guinea] 324065 Tougué [Region: Guinea] 324071 Dalaba [Region: Guinea] 324072 Mamou [Region: Guinea] 324073 Pita [Region: Guinea] 324081 Beyla [Region: Guinea] 324082 Guéckédou [Region: Guinea] 324083 Lola [Region: Guinea] 324084 Macenta [Region: Guinea] 324085 Nzerekore [Region: Guinea] 324086 Yomou [Region: Guinea] 324096 Guinea, place unknown [Region: Guinea] 324097 Foreign country [Region: Guinea] 324098 Unknown [Region: Guinea] 324099 NIU (not in universe) [Region: Guinea] 332003 Nord (North) and Nord'est (North East) [Department: Haiti] 332006 Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti] 332007 Grand'Anse, Nippes, Sud (South) [Department: Haiti] 332009 Nord'Ouest (North West) [Department: Haiti] 332097 Foreign Country [Department: Haiti] 332098 Unknown [Department: Haiti] 356001 Jammu and Kashmir [State: India] 356002 Himachal Pradesh [State: India] 356003 Punjab [State: India] 356004 Chandigarh [State: India] 356006 Haryana [State: India] 356007 Delhi [State: India] 356008 Rajasthan [State: India] 356009 Uttar Pradesh, Uttaranchal [State: India] 356010 Bihar, Jharkhand [State: India] 356011 Sikkim [State: India] 356012 Arunachal Pradesh [State: India] 356013 Nagaland [State: India] 356014 Manipur [State: India] 356015 Mizoram [State: India] 356016 Tripura [State: India] 356017 Meghalaya [State: India] 356018 Assam [State: India] 356019 West Bengal [State: India] 356021 Orissa [State: India] 356023 Madhya Pradesh, Chhattisgarh [State: India] 356024 Gujarat [State: India] 356026 Dadra and Nagar Haveli [State: India] 356027 Maharashtra [State: India] 356028 Andhra Pradesh [State: India] 356029 Karnataka [State: India] 356030 Goa, Daman and Diu [State: India] 356031 Lakshadweep [State: India] 356032 Kerala [State: India] 356033 Tamil Nadu [State: India] 356034 Pondicherry [State: India] 356035 Andaman and Nicobar Islands [State: India] 356097 Abroad [State: India] 356098 Unknown [State: India] 356099 NIU (not in universe) [State: India] 360011 Nanggroe Aceh Darussalam [Province: Indonesia] 360012 Sumatera Utara [Province: Indonesia] 360013 Sumatera Barat [Province: Indonesia] 360014 Kepulauan Riau, Riau [Province: Indonesia] 360015 Jambi [Province: Indonesia] 360016 Bangka Belitung, Sumatera Selatan [Province: Indonesia] 360017 Bengkulu [Province: Indonesia] 360018 Lampung [Province: Indonesia] 360031 DKI Jakarta [Province: Indonesia] 360032 Banten, Jawa Barat [Province: Indonesia] 360033 Jawa Tengah [Province: Indonesia] 360034 DKI Yogyakarta [Province: Indonesia] 360035 Jawa Timur [Province: Indonesia] 360051 Bali [Province: Indonesia] 360052 Nusa Tenggara Barat [Province: Indonesia] 360053 Nusa Tenggara Timur [Province: Indonesia] 360061 Kalimantan Barat [Province: Indonesia] 360062 Kalimantan Tengah [Province: Indonesia] 360063 Kalimantan Selatan [Province: Indonesia] 360064 Kalimantan Timur [Province: Indonesia] 360071 Gorontalo, Sulawesi Utara [Province: Indonesia] 360072 Sulawesi Tengah [Province: Indonesia] 360073 Sulawesi Barat, Sulawesi Selatan [Province: Indonesia] 360074 Sulawesi Tenggara [Province: Indonesia] 360081 Maluku, Maluku Utara [Province: Indonesia] 360094 Papua, Papua Barat [Province: Indonesia] 360097 Abroad [Province: Indonesia] 360098 Unknown [Province: Indonesia] 360099 NIU (not in universe) [Province: Indonesia] 360626 East Timor [Province: Indonesia] 364000 Markazi [Province: Iran] 364001 Gilan [Province: Iran] 364002 Mazandaran [Province: Iran] 364003 East Azarbayejan [Province: Iran] 364004 West Azarbayejan [Province: Iran] 364005 Kermanshah [Province: Iran] 364006 Khuzestan [Province: Iran] 364007 Fars [Province: Iran] 364008 Kerman [Province: Iran] 364009 Razavi Khorasan [Province: Iran] 364010 Esfahan [Province: Iran] 364011 Sistan and Baluchestan [Province: Iran] 364012 Kordestan [Province: Iran] 364013 Hamedan [Province: Iran] 364014 Chaharmahal and Bakhtiyari [Province: Iran] 364015 Lorestan [Province: Iran] 364016 Ilam [Province: Iran] 364017 Kohgiluyeh and Boyerahmad [Province: Iran] 364018 Bushehr [Province: Iran] 364019 Zanjan [Province: Iran] 364020 Semnan [Province: Iran] 364021 Yazd [Province: Iran] 364022 Hormozgan [Province: Iran] 364023 Tehran, Alborz [Province: Iran] 364024 Ardebil [Province: Iran] 364025 Qom [Province: Iran] 364026 Qazvin [Province: Iran] 364027 Golestan [Province: Iran] 364028 North Khorasan [Province: Iran] 364029 South Khorasan [Province: Iran] 364098 Unknown [Province: Iran] 364099 NIU (not in universe) [Province: Iran] 368000 Always lived in residential place of birth [Governorate: Iraq] 368001 In this governorate [Governorate: Iraq] 368011 Dahuk [Governorate: Iraq] 368012 Nineveh [Governorate: Iraq] 368013 Sulaymaniyah [Governorate: Iraq] 368014 Al-Tameem [Governorate: Iraq] 368015 Erbil [Governorate: Iraq] 368021 Diala [Governorate: Iraq] 368022 Al-Anbar [Governorate: Iraq] 368023 Baghdad [Governorate: Iraq] 368024 Babylon [Governorate: Iraq] 368025 Kerbela [Governorate: Iraq] 368026 Wasit [Governorate: Iraq] 368027 Salah Al-Deen [Governorate: Iraq] 368028 Al-Najaf [Governorate: Iraq] 368031 Al-Qadisiya [Governorate: Iraq] 368032 Al-Muthanna [Governorate: Iraq] 368033 Thi-Qar [Governorate: Iraq] 368034 Maysan [Governorate: Iraq] 368035 Al-Basrah [Governorate: Iraq] 368097 Other countries [Governorate: Iraq] 368098 Unknown [Governorate: Iraq] 388001 Kingston [Parish: Jamaica] 388002 Saint Andrew [Parish: Jamaica] 388003 Saint Thomas [Parish: Jamaica] 388004 Portland [Parish: Jamaica] 388005 Saint Mary [Parish: Jamaica] 388006 Saint Ann [Parish: Jamaica] 388007 Trelawny [Parish: Jamaica] 388008 Saint James [Parish: Jamaica] 388009 Hanover [Parish: Jamaica] 388010 Westmoreland [Parish: Jamaica] 388011 Saint Elizabeth [Parish: Jamaica] 388012 Manchester [Parish: Jamaica] 388013 Clarendon [Parish: Jamaica] 388014 Saint Catherine [Parish: Jamaica] 388098 Unknown [Parish: Jamaica] 388099 NIU (Not in universe) [Parish: Jamaica] 400011 Amman [Governorate: Jordan] 400012 Balqa [Governorate: Jordan] 400013 Zarqa [Governorate: Jordan] 400014 Madaba [Governorate: Jordan] 400021 Irbid [Governorate: Jordan] 400022 Mafraq [Governorate: Jordan] 400023 Jarash [Governorate: Jordan] 400024 Ajlun [Governorate: Jordan] 400031 Karak [Governorate: Jordan] 400032 Tafilah [Governorate: Jordan] 400033 Ma'an [Governorate: Jordan] 400034 Aqaba [Governorate: Jordan] 400997 Foreign Country [Governorate: Jordan] 400998 Unknown [Governorate: Jordan] 404001 Nairobi [Province: Kenya] 404002 Central [Province: Kenya] 404003 Coast [Province: Kenya] 404004 Eastern [Province: Kenya] 404005 Northeastern [Province: Kenya] 404006 Nyanza [Province: Kenya] 404007 Rift Valley [Province: Kenya] 404008 Western [Province: Kenya] 404097 Abroad [Province: Kenya] 404098 Unknown [Province: Kenya] 404099 NIU (not in universe) [Province: Kenya] 417001 Bishkek [Region: Kyrgyz Republic] 417002 Issyk-Kul region [Region: Kyrgyz Republic] 417003 Dzhalal-Abad region [Region: Kyrgyz Republic] 417004 Naryn region [Region: Kyrgyz Republic] 417005 Batken region [Region: Kyrgyz Republic] 417006 Oshskaya region, City of Osh [Region: Kyrgyz Republic] 417007 Talasskaya region [Region: Kyrgyz Republic] 417008 Chuya region [Region: Kyrgyz Republic] 417096 Other Kyrgyz Republic, not specified [Region: Kyrgyz Republic] 417097 Foreign country [Region: Kyrgyz Republic] 417098 Unknown [Region: Kyrgyz Republic] 417099 NIU (not in universe) [Region: Kyrgyz Republic] 418001 Vientiane Capital [Province: Laos] 418002 Phongsaly [Province: Laos] 418003 Luangnamtha [Province: Laos] 418004 Oudomxay [Province: Laos] 418005 Bokeo [Province: Laos] 418006 Luangprabang [Province: Laos] 418007 Huaphanh [Province: Laos] 418008 Xayaboury [Province: Laos] 418009 Xienkhuang [Province: Laos] 418010 Vientiane Province [Province: Laos] 418011 Borikhamxay [Province: Laos] 418012 Khammuane [Province: Laos] 418013 Savanakhet [Province: Laos] 418014 Saravane [Province: Laos] 418015 Sekong [Province: Laos] 418016 Champasack [Province: Laos] 418017 Attapeu [Province: Laos] 418018 Xaysomboune [Province: Laos] 418097 Foreign Country [Province: Laos] 418098 Unknown [Province: Laos] 418099 NIU [Province: Laos] 662003 Castries city, Castries rural, Castries suburban [District: Saint Lucia] 662009 Choiseul, Laborie, Vieux-Fort [District: Saint Lucia] 662010 Anse-la-Raye, Canaries, Micoud, Soufriere [District: Saint Lucia] 662012 Dennery, Gros-Islet [District: Saint Lucia] 662098 Unknown [District: Saint Lucia] 662099 NIU [District: Saint Lucia] 454101 Chitipa [District: Malawi] 454102 Karonga [District: Malawi] 454103 Nkhata Bay, Likoma [District: Malawi] 454104 Rumphi [District: Malawi] 454105 Mzimba, Mzuzu City [District: Malawi] 454201 Kasungu [District: Malawi] 454202 Nkhotakota [District: Malawi] 454203 Ntchisi [District: Malawi] 454204 Dowa [District: Malawi] 454205 Salima [District: Malawi] 454206 Lilongwe, Lilongwe City [District: Malawi] 454207 Mchinji [District: Malawi] 454208 Dedza [District: Malawi] 454209 Ntcheu [District: Malawi] 454301 Mangochi [District: Malawi] 454302 Machinga [District: Malawi] 454303 Zomba, Zomba City [District: Malawi] 454304 Chiradzulu [District: Malawi] 454305 Blantyre, Blantyre City [District: Malawi] 454306 Mwanza, Neno [District: Malawi] 454307 Thyolo [District: Malawi] 454308 Mulanje [District: Malawi] 454309 Phalombe [District: Malawi] 454310 Chikwawa [District: Malawi] 454311 Nsanje [District: Malawi] 454312 Balaka [District: Malawi] 454997 Abroad [District: Malawi] 454999 NIU (not in universe) [District: Malawi] 466001 Kayes [Region: Mali] 466002 Koulikoro [Region: Mali] 466003 Sikasso [Region: Mali] 466004 Ségou [Region: Mali] 466005 Mopti [Region: Mali] 466006 Tombouctou [Region: Mali] 466007 Gao, Kidal [Region: Mali] 466009 Bamako [Region: Mali] 466096 Mali, province unspecified [Region: Mali] 466097 Foreign country [Region: Mali] 466098 Unknown [Region: Mali] 466999 NIU (not in universe) [Region: Mali] 484001 Aguascalientes [State: Mexico] 484002 Baja California [State: Mexico] 484003 Baja California Sur [State: Mexico] 484004 Campeche [State: Mexico] 484005 Coahuila de Zaragoza [State: Mexico] 484006 Colima [State: Mexico] 484007 Chiapas [State: Mexico] 484008 Chihuahua [State: Mexico] 484009 Distrito Federal [State: Mexico] 484010 Durango [State: Mexico] 484011 Guanajuato [State: Mexico] 484012 Guerrero [State: Mexico] 484013 Hidalgo [State: Mexico] 484014 Jalisco [State: Mexico] 484015 México [State: Mexico] 484016 Michoacán de Ocampo [State: Mexico] 484017 Morelos [State: Mexico] 484018 Nayarit [State: Mexico] 484019 Nuevo León [State: Mexico] 484020 Oaxaca [State: Mexico] 484021 Puebla [State: Mexico] 484022 Querétaro [State: Mexico] 484023 Quintana Roo [State: Mexico] 484024 San Luis Potosí [State: Mexico] 484025 Sinaloa [State: Mexico] 484026 Sonora [State: Mexico] 484027 Tabasco [State: Mexico] 484028 Tamaulipas [State: Mexico] 484029 Tlaxcala [State: Mexico] 484030 Veracruz de Ignacio de la Llave [State: Mexico] 484031 Yucatán [State: Mexico] 484032 Zacatecas [State: Mexico] 484097 Abroad [State: Mexico] 484098 Unknown [State: Mexico] 484099 NIU (not in universe) [State: Mexico] 496011 Ulaanbaatar [Province: Mongolia] 496021 Dornod [Province: Mongolia] 496022 Sukhbaatar [Province: Mongolia] 496023 Khentii [Province: Mongolia] 496041 Tuv [Province: Mongolia] 496043 Selenge [Province: Mongolia] 496044 Dornogobi [Province: Mongolia] 496045 Darkhan-Uul [Province: Mongolia] 496046 Umnugobi [Province: Mongolia] 496048 Dundgobi, Gobisumber [Province: Mongolia] 496061 Orkhon [Province: Mongolia] 496062 Uvurkhangai [Province: Mongolia] 496063 Bulgan [Province: Mongolia] 496064 Bayankhongor [Province: Mongolia] 496065 Arkhangai [Province: Mongolia] 496067 Khuvsgul [Province: Mongolia] 496081 Zavkhan [Province: Mongolia] 496082 Gobi-Altai [Province: Mongolia] 496083 Bayan-Ulgii [Province: Mongolia] 496084 Khovd [Province: Mongolia] 496085 Uvs [Province: Mongolia] 496097 Abroad [Province: Mongolia] 496099 NIU (not in universe) [Province: Mongolia] 104001 Kachin [State: Myanmar] 104002 Kayah [State: Myanmar] 104003 Kayin [State: Myanmar] 104004 Chin [State: Myanmar] 104005 Sagaing [State: Myanmar] 104006 Tanintharyi [State: Myanmar] 104007 Bago [State: Myanmar] 104008 Magway [State: Myanmar] 104009 Mandalay [State: Myanmar] 104010 Mon [State: Myanmar] 104011 Rakhine [State: Myanmar] 104012 Yangon [State: Myanmar] 104013 Shan [State: Myanmar] 104014 Ayeyawady [State: Myanmar] 104015 Nay Pyi Taw [State: Myanmar] 104097 Abroad [State: Myanmar] 104099 NIU [State: Myanmar] 591002 Coclé [Province: Panama] 591003 Colón, Comarca Kuna Yala (San Blas) [Province: Panama] 591004 Bocas de Toro, Chiriquí, Comarca Ngäbe Buglé, Veraguas [Province: Panama] 591005 Comarca Emberá, Darién [Province: Panama] 591006 Herrera [Province: Panama] 591007 Los Santos [Province: Panama] 591008 Panamá [Province: Panama] 591009 Unknown district in Panamá province [Province: Panama] 591097 Foreign country [Province: Panama] 591098 Unknown [Province: Panama] 591099 NIU (not in universe) [Province: Panama] 608001 Abra [Province: Philippines] 608002 Agusan del norte [Province: Philippines] 608003 Agusan del sur [Province: Philippines] 608004 Aklan [Province: Philippines] 608005 Albay [Province: Philippines] 608006 Antique [Province: Philippines] 608007 Basilan, City Of Isabela [Province: Philippines] 608008 Bataan [Province: Philippines] 608010 Batangas [Province: Philippines] 608011 Benguet [Province: Philippines] 608012 Bohol [Province: Philippines] 608013 Bukidnon [Province: Philippines] 608014 Bulacan [Province: Philippines] 608015 Cagayan, Batanes [Province: Philippines] 608016 Camarines norte [Province: Philippines] 608017 Camarines Sur [Province: Philippines] 608018 Camiguin [Province: Philippines] 608019 Capiz [Province: Philippines] 608020 Catanduanes [Province: Philippines] 608021 Cavite [Province: Philippines] 608022 Cebu [Province: Philippines] 608023 Davao (Davao del Norte) [Province: Philippines] 608024 Davao del Sur, Davao Occidental [Province: Philippines] 608025 Davao Oriental [Province: Philippines] 608026 Eastern Samar [Province: Philippines] 608027 Ifugao [Province: Philippines] 608028 Ilocos Norte [Province: Philippines] 608029 Ilocos Sur [Province: Philippines] 608030 Iloilo, Guimaras [Province: Philippines] 608031 Isabela [Province: Philippines] 608032 Kalinga-Apayao, Apayo, Kalinga [Province: Philippines] 608033 La Union [Province: Philippines] 608034 Laguna [Province: Philippines] 608035 Lanao del Norte [Province: Philippines] 608036 Lanao del Sur, Maguindanao, Marawi City and Cotabato city [Province: Philippines] 608037 Leyte, Biliran [Province: Philippines] 608039 Manila [Province: Philippines] 608040 Marinduque [Province: Philippines] 608041 Masbate [Province: Philippines] 608042 Misamis Occidental [Province: Philippines] 608043 Misamis Oriental [Province: Philippines] 608044 Mountain Province [Province: Philippines] 608045 Negros Occidental [Province: Philippines] 608046 Negros Oriental [Province: Philippines] 608047 Cotabato (North Cotabato) [Province: Philippines] 608048 Northern Samar [Province: Philippines] 608049 Nueva Ecija [Province: Philippines] 608050 Nueva Vizcaya [Province: Philippines] 608051 Occidental Mindoro [Province: Philippines] 608052 Oriental Mindoro [Province: Philippines] 608053 Palawan [Province: Philippines] 608054 Pampanga [Province: Philippines] 608055 Pangasinan [Province: Philippines] 608056 Quezon [Province: Philippines] 608057 Quirino [Province: Philippines] 608058 Rizal [Province: Philippines] 608059 Romblon [Province: Philippines] 608060 Samar (Western Samar) [Province: Philippines] 608061 Siquijor [Province: Philippines] 608062 Sorsogon [Province: Philippines] 608063 South Cotabato, Sarangani [Province: Philippines] 608064 Southern Leyte [Province: Philippines] 608065 Sultan Kudarat [Province: Philippines] 608066 Sulu [Province: Philippines] 608067 Surigao Del Norte, Dinagat islands [Province: Philippines] 608068 Surigao del Sur [Province: Philippines] 608069 Tarlac [Province: Philippines] 608070 Tawi-Tawi [Province: Philippines] 608071 Zambales [Province: Philippines] 608072 Zamboanga Norte [Province: Philippines] 608073 Zamboanga del Sur, Zamboanga Sibugay [Province: Philippines] 608074 Manila Metro, 2nd District [Province: Philippines] 608075 Manila Metro, 3rd District [Province: Philippines] 608076 Manila Metro, 4th District [Province: Philippines] 608077 Aurora [Province: Philippines] 608097 Foreign country [Province: Philippines] 608098 Unknown [Province: Philippines] 608099 NIU (not in universe) [Province: Philippines] 642001 Alba [County: Romania] 642002 Arad [County: Romania] 642003 Arges [County: Romania] 642004 Bacau [County: Romania] 642005 Bihor [County: Romania] 642006 Bistrita Nasaud [County: Romania] 642007 Botosani [County: Romania] 642008 Brasov [County: Romania] 642009 Braila [County: Romania] 642010 Buzau [County: Romania] 642011 Caras Severin [County: Romania] 642012 Cluj [County: Romania] 642013 Constanta [County: Romania] 642014 Covasna [County: Romania] 642015 Dambovita [County: Romania] 642016 Dolj [County: Romania] 642017 Galati [County: Romania] 642018 Gorj [County: Romania] 642019 Harghita [County: Romania] 642020 Hunedoara [County: Romania] 642022 Iasi [County: Romania] 642024 Maramures [County: Romania] 642025 Mehedinti [County: Romania] 642026 Mures [County: Romania] 642027 Neamt [County: Romania] 642028 Olt [County: Romania] 642029 Prahova [County: Romania] 642030 Satu Mare [County: Romania] 642031 Salaj [County: Romania] 642032 Sibiu [County: Romania] 642033 Suceava [County: Romania] 642034 Teleorman [County: Romania] 642035 Timis [County: Romania] 642036 Tulcea [County: Romania] 642037 Vaslui [County: Romania] 642038 Valcea [County: Romania] 642039 Vrancea [County: Romania] 642043 Bucharest Sector 1 to 6 [County: Romania] 642051 Calarasi, Giurgiu, Ialomita, Ilfov [County: Romania] 642097 Foreign country [County: Romania] 642098 Unknown [County: Romania] 642099 NIU (not in universe) [County: Romania] 646002 Byumba, Kigali Ngali, Kigali Ville, Kibungo, Umutara [Province: Rwanda] 646003 Gitarama [Province: Rwanda] 646004 Butare [Province: Rwanda] 646005 Gikongoro [Province: Rwanda] 646006 Cyangugu [Province: Rwanda] 646007 Kibuye [Province: Rwanda] 646008 Gisenyi [Province: Rwanda] 646009 Ruhengeri [Province: Rwanda] 646097 Foreign Countries [Province: Rwanda] 646098 Unknown [Province: Rwanda] 646099 NIU [Province: Rwanda] 705001 Pomurska [Region: Slovenia] 705002 Podravska [Region: Slovenia] 705003 Koroška [Region: Slovenia] 705004 Savinjska [Region: Slovenia] 705005 Zasavska [Region: Slovenia] 705006 Spodnjeposavska [Region: Slovenia] 705007 Jugovzhodna Slovenija [Region: Slovenia] 705008 Osrednjeslovenska [Region: Slovenia] 705009 Gorenjska [Region: Slovenia] 705010 Notranjsko-kraška [Region: Slovenia] 705011 Goriška [Region: Slovenia] 705012 Obalno-kraška [Region: Slovenia] 705097 Abroad [Region: Slovenia] 705999 NIU (not in universe) [Region: Slovenia] 710001 Western Cape [Province: South Africa] 710004 Free State [Province: South Africa] 710005 Eastern Cape, KwaZulu-Natal [Province: South Africa] 710007 Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa] 710097 Foreign country [Province: South Africa] 710098 Unknown [Province: South Africa] 710099 NIU (not in universe) [Province: South Africa] 724011 Galicia [Communities & autonomous city: Spain] 724012 Principado de Asturias [Communities & autonomous city: Spain] 724013 Cantabria [Communities & autonomous city: Spain] 724021 País Vasco [Communities & autonomous city: Spain] 724022 Comunidad Foral de Navarra [Communities & autonomous city: Spain] 724023 La Rioja [Communities & autonomous city: Spain] 724024 Aragón [Communities & autonomous city: Spain] 724030 Comunidad de Madrid [Communities & autonomous city: Spain] 724041 Castilla y León [Communities & autonomous city: Spain] 724042 Castilla-La Mancha [Communities & autonomous city: Spain] 724043 Extremadura [Communities & autonomous city: Spain] 724051 Cataluña [Communities & autonomous city: Spain] 724052 Comunidad Valenciana [Communities & autonomous city: Spain] 724053 Islas Baleares [Communities & autonomous city: Spain] 724061 Andalucía [Communities & autonomous city: Spain] 724062 Región de Murcia [Communities & autonomous city: Spain] 724063 Ciudad Autónoma de Ceuta [Communities & autonomous city: Spain] 724064 Ciudad Autónoma de Melilla [Communities & autonomous city: Spain] 724070 Canarias [Communities & autonomous city: Spain] 724097 Abroad [Communities & autonomous city: Spain] 724999 NIU (not in universe) [Communities & autonomous city: Spain] 740001 Paramaribo [District: Suriname] 740002 Wanica [District: Suriname] 740003 Nickerie [District: Suriname] 740005 Saramacca, Coronie [District: Suriname] 740006 Marowijne, Commewijne [District: Suriname] 740008 Brokopondo, Para [District: Suriname] 740010 Sipaliwini [District: Suriname] 740096 Suriname, district unknown [District: Suriname] 740097 Foreign [District: Suriname] 740098 Unknown [District: Suriname] 764010 Bangkok [Province: Thailand] 764011 Samut Prakan [Province: Thailand] 764012 Nonthaburi [Province: Thailand] 764013 Pathum Thani [Province: Thailand] 764014 Phra Nakhon Si Ayutthaya [Province: Thailand] 764015 Ang Thong [Province: Thailand] 764016 Lop Buri [Province: Thailand] 764017 Sing Buri [Province: Thailand] 764018 Chai Nat [Province: Thailand] 764019 Sa Kaeo, Prachin Buri [Province: Thailand] 764020 Chon Buri [Province: Thailand] 764021 Rayong [Province: Thailand] 764022 Chanthaburi [Province: Thailand] 764023 Trat [Province: Thailand] 764024 Chachoengsao [Province: Thailand] 764026 Nakhon Nayok [Province: Thailand] 764027 Saraburi [Province: Thailand] 764030 Nakhon Ratchasima [Province: Thailand] 764031 Buri Ram [Province: Thailand] 764032 Surin [Province: Thailand] 764033 Si Sa Ket [Province: Thailand] 764034 Ubon Ratchathani, Yasothon, Amnat Charoen [Province: Thailand] 764036 Chaiyaphum [Province: Thailand] 764039 Nong Bua Lam Phu, Udon Thani [Province: Thailand] 764040 Khon Kaen [Province: Thailand] 764042 Loei [Province: Thailand] 764043 Nong Khai [Province: Thailand] 764044 Maha Sarakham [Province: Thailand] 764045 Roi Et [Province: Thailand] 764046 Kalasin [Province: Thailand] 764047 Sakon Nakhon [Province: Thailand] 764048 Nakhon Phanom, Mukdahan [Province: Thailand] 764050 Chiang Mai [Province: Thailand] 764051 Lamphun [Province: Thailand] 764052 Lampang [Province: Thailand] 764053 Uttaradit [Province: Thailand] 764054 Phrae [Province: Thailand] 764055 Nan [Province: Thailand] 764057 Phayao, Chiang Rai [Province: Thailand] 764058 Mae Hong Son [Province: Thailand] 764060 Nakhon Sawan [Province: Thailand] 764061 Uthai Thani [Province: Thailand] 764062 Kamphaeng Phet [Province: Thailand] 764063 Tak [Province: Thailand] 764064 Sukhothai [Province: Thailand] 764065 Phitsanulok [Province: Thailand] 764066 Phichit [Province: Thailand] 764067 Phetchabun [Province: Thailand] 764070 Ratchaburi [Province: Thailand] 764071 Kanchanaburi [Province: Thailand] 764072 Suphanburi [Province: Thailand] 764073 Nakhon Pathom [Province: Thailand] 764074 Samut Sakhon [Province: Thailand] 764075 Samut Songkhram [Province: Thailand] 764076 Phetchaburi [Province: Thailand] 764077 Prachuap Khiri Khan [Province: Thailand] 764080 Nakhon Si Thammarat [Province: Thailand] 764082 Phangnga [Province: Thailand] 764083 Phuket [Province: Thailand] 764084 Krabi, Surat Thani [Province: Thailand] 764086 Ranong, Chumphon [Province: Thailand] 764090 Songkhla [Province: Thailand] 764091 Satun [Province: Thailand] 764092 Trang [Province: Thailand] 764093 Phatthalung [Province: Thailand] 764094 Pattani [Province: Thailand] 764095 Yala [Province: Thailand] 764096 Narathiwat [Province: Thailand] 764097 Same province [Province: Thailand] 764098 Unknown province, but within Thaliand [Province: Thailand] 764997 Abroad [Province: Thailand] 764998 Unknown [Province: Thailand] 764999 NIU (not in universe) [Province: Thailand] 768001 Maritime, Lomé [Region: Togo] 768002 Plateaux, Centrale, Kara [Region: Togo] 768003 Savanes [Region: Togo] 768097 Foreign Country [Region: Togo] 768098 Unknown [Region: Togo] 768099 NIU [Region: Togo] 780010 Port of Spain [Region: Trinidad and Tobago] 780020 San Fernando [Region: Trinidad and Tobago] 780080 Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin, Caroni, St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago] Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin, Caroni, St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago] 780094 St. Paul, St. Mary, St. David, St. George, St. Patrick, St. Andrew, St. John, Tobago [Region: Trinidad and Tobago] 780098 Unknown [Region: Trinidad and Tobago] 800101 Kalangala [District: Uganda] 800102 Kampala [District: Uganda] 800103 Kiboga, Kyankwanzi [District: Uganda] 800104 Luwero, Nakasongola, Nakaseke [District: Uganda] 800105 Masaka, Ssembabule, Bukomansimbi, Kalungu, Lwengo [District: Uganda] 800106 Mpigi, Wakiso, Butambala, Gomba [District: Uganda] 800107 Mubende, Mityana [District: Uganda] 800108 Mukono, Kayunga, Buikwe, Buvuma [District: Uganda] 800110 Rakai, Lyantonde [District: Uganda] 800201 Bugiri, Iganga, Mayuge, Namutumba, Luuka, Namayingo [District: Uganda] 800202 Busia, Tororo, Butaleja [District: Uganda] 800204 Jinja [District: Uganda] 800205 Kamuli, Kaliro, Buyende [District: Uganda] 800206 Kapchorwa, Bukwo, Kween [District: Uganda] 800207 Katakwi, Soroti, Kaberamaido, Amuria, Serere [District: Uganda] 800208 Kumi, Bukedea, Ngora [District: Uganda] 800209 Mbale, Sironko, Bududa, Manafwa, Bulambuli [District: Uganda] 800210 Pallisa, Budaka, Kibuku [District: Uganda] 800301 Adjumani, Moyo [District: Uganda] 800302 Apac, Oyam, Kole [District: Uganda] 800303 Arua, Yumbe, Koboko, Maracha [District: Uganda] 800304 Gulu, Amuru, Nwoya, Omoro [District: Uganda] 800305 Kitgum, Pader, Agago, Lamwo [District: Uganda] 800306 Kotido, Moroto, Nakapiripirit, Abim, Kaabong, Amudat, Napak [District: Uganda] 800307 Lira, Amolatar, Dokolo, Alebtong, Otuke [District: Uganda] 800310 Nebbi, Zombo [District: Uganda] 800401 Bundibugyo, Ntoroko [District: Uganda] 800402 Bushenyi, Mbarara, Ntungamo, Ibanda, Isingiro, Kiruhura, Buhweju, Mitooma, Rubirizi, Sheema [District: Uganda] 800403 Hoima [District: Uganda] 800404 Kabale, Rubanda [District: Uganda] 800405 Kabarole, Kamwenge, Kyenjojo, Kyegegwa [District: Uganda] 800406 Kasese [District: Uganda] 800407 Kibaale, Kagadi, Kakumiro [District: Uganda] 800408 Kisoro [District: Uganda] 800409 Masindi, Buliisa, Kiryandongo [District: Uganda] 800412 Rukungiri, Kanungu [District: Uganda] 800096 Visitor [District: Uganda] 800097 Foreign country [District: Uganda] 800098 Unknown [District: Uganda] 804001 The Autonomous Republic of Crimea [Region: Ukraine] 804005 Vinnytska oblast [Region: Ukraine] 804007 Volynska oblast [Region: Ukraine] 804012 Dnipropetrovska oblast [Region: Ukraine] 804014 Donetska oblast [Region: Ukraine] 804018 Zhytomyrska oblast [Region: Ukraine] 804021 Zakarpatska oblast [Region: Ukraine] 804023 Zaporizka oblast [Region: Ukraine] 804026 Ivano-Frankivska oblast [Region: Ukraine] 804032 Kyivska oblast [Region: Ukraine] 804035 Kirovohradska oblast [Region: Ukraine] 804044 Luhanska oblast [Region: Ukraine] 804046 Lvivska oblast [Region: Ukraine] 804048 Mykolaivska oblast [Region: Ukraine] 804051 Odeska oblast [Region: Ukraine] 804053 Poltavska oblast [Region: Ukraine] 804056 Rivnenska oblast [Region: Ukraine] 804059 Sumska oblast [Region: Ukraine] 804061 Ternopilska oblast [Region: Ukraine] 804063 Kharkivska oblast [Region: Ukraine] 804065 Khersonska oblast [Region: Ukraine] 804068 Khmelnytska oblast [Region: Ukraine] 804071 Cherkaska oblast [Region: Ukraine] 804073 Chernivetska oblast [Region: Ukraine] 804074 Chernihivska oblast [Region: Ukraine] 804080 Kyiv (independent city) [Region: Ukraine] 804085 Sevastopol (independent city) [Region: Ukraine] 804097 Foreign country [Region: Ukraine] 804098 Unknown [Region: Ukraine] 804099 NIU (not in universe) [Region: Ukraine] 858001 Montevideo [Department: Uruguay] 858002 Artigas [Department: Uruguay] 858003 Canelones [Department: Uruguay] 858004 Cerro Largo [Department: Uruguay] 858005 Colonia [Department: Uruguay] 858006 Durazno [Department: Uruguay] 858007 Flores [Department: Uruguay] 858008 Florida [Department: Uruguay] 858009 Lavalleja [Department: Uruguay] 858010 Maldonado [Department: Uruguay] 858011 Paysandú [Department: Uruguay] 858012 Río Negro [Department: Uruguay] 858013 Rivera [Department: Uruguay] 858014 Rocha [Department: Uruguay] 858015 Salto [Department: Uruguay] 858016 San Jose [Department: Uruguay] 858017 Soriano [Department: Uruguay] 858018 Tacuarembó [Department: Uruguay] 858019 Treinta Y Tres [Department: Uruguay] 858097 Abroad [Department: Uruguay] 858098 Unknown [Department: Uruguay] 858999 NIU (not in universe) [Department: Uruguay] 862001 Federal District, Vargas [State: Venezuela] 862002 Amazonas Federal Territory [State: Venezuela] 862003 Anzoátegui [State: Venezuela] 862004 Apure [State: Venezuela] 862005 Aragua [State: Venezuela] 862007 Bolívar [State: Venezuela] 862008 Carabobo [State: Venezuela] 862009 Cojedes [State: Venezuela] 862010 Amacuros Delta Federal Territory [State: Venezuela] 862011 Falcón [State: Venezuela] 862012 Guárico [State: Venezuela] 862013 Lara [State: Venezuela] 862014 Barinas, Mérida [State: Venezuela] 862015 Miranda [State: Venezuela] 862016 Monagas [State: Venezuela] 862017 Nueva Esparta, Federal Dependencies [State: Venezuela] 862018 Portuguesa [State: Venezuela] 862019 Sucre [State: Venezuela] 862020 Táchira [State: Venezuela] 862021 Trujillo [State: Venezuela] 862022 Yaracuy [State: Venezuela] 862023 Zulia [State: Venezuela] 862097 Foreign country [State: Venezuela] 862098 Unknown [State: Venezuela] 862099 NIU (not in universe) [State: Venezuela] Migration: Global Variables -- PERSON Years residing in current locality MIGYRS1 indicates how many years the person has resided in their current locality of residence. 00 Less than 1 year 01 1 year (or 1 year or less) 02 2 years 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95+ years 96 Less than 5 years 97 More than 5 years 98 Unknown 99 NIU (not in universe) Migration: Global Variables -- PERSON Province of previous residence, Ecuador; consistent boundaries, GIS MIG1_P_EC indicates the person's previous province of residence in Ecuador. 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. 218001 Azuay 218002 Bolivar 218004 Carchi 218005 Cotopaxi 218006 Chimborazo 218007 El Oro 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 218010 Imbabura, Las Golondrinas [Disputed canton] 218011 Loja 218014 Morona Santiago 218021 Napo, Orellana, Sucumbíos 218016 Pastaza 218018 Tungurahua 218019 Zamora Chinchipe 218097 Foreign country 218098 Unknown and Disputed Zones Migration: A-E Variables -- PERSON Canton of previous residence, Ecuador; consistent boundaries, GIS MIG2_P_EC indicates the person's previous canton of residence in Ecuador. Migration canton codes for MIG2_P_EC are compatible with codes for GEO2_EC. 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. 218001001 Cuenca 218001002 Gualaceo, Chordeleg 218001003 Pucará, Santa Isabel, Camilo Ponce Enríquez 218001004 Paute, El Pan, Sevilla de Oro, Guachapala 218001005 Girón, Nabón, San Fernando, Oña 218001006 Sigsig 218001099 Azuay province, unknown canton 218002001 Guaranda, Echeandía, Las Naves 218002002 Chillanes, San Miguel 218002003 Chimbo, Caluma 218002099 Bolivar province, unknown canton 218004001 Tulcán, San Pedro de Huaca 218004002 Bolívar, Montúfar 218004003 Espejo, Mira 218004099 Carchi province, unknown canton 218005001 Latacunga, Sigchos 218005002 La Maná, Pujilí 218005003 Salcedo 218005004 Saquisilí 218005005 Pangua 218005099 Cotopaxi province, unknown canton 218006001 Riobamba, Chambo 218006002 Alausí, Chunchi, Cumandá 218006003 Colta, Pallatanga 218006004 Guano, Penipe 218006005 Guamote 218006099 Chimborazo province, unknown canton 218007001 Machala, El Guabo 218007002 Arenillas, Huaquillas, Las Lajas 218007003 Chilla, Pasaje 218007004 Santa Rosa 218007005 Atahualpa, Portovelo, Zaruma 218007006 Balsas, Marcabelí, Piñas 218007099 El Oro province, unknown canton 218009001 El Carmen, Flavio Alfaro, Chone, Pedro Vicente, Maldonado, Sucre, San Miguel de los Bancos, Quito, Puerto Quito, Palestina, Colimes, Balzar, El Empalme, San Vicente, Jama, Mocache, Buena Fé, Valencia, Manga del cura, La Concordia, Quinindé, Atacames, Rioverde, Esmeraldas, Pedernales, Quevedo, Santo Domingo El Carmen, Flavio Alfaro, Chone, Pedro Vicente, Maldonado, Sucre, San Miguel de los Bancos, Quito, Puerto Quito, Palestina, Colimes, Balzar, El Empalme, San Vicente, Jama, Mocache, Buena Fé, Valencia, Manga del cura, La Concordia, Quinindé, Atacames, Rioverde, Esmeraldas, Pedernales, Quevedo, Santo Domingo 218009002 Guayaquil, Balao, Playas, Durán 218009003 Biblián, Cañar, La Troncal, El Tambo, Suscal, Alfredo Baquerizo Moreno (Jujan), El Triunfo, Milagro, Naranjito, San Jacinto de Yaguachi, Simón Bolívar, Coronel Marcelino Maridueña, General Antonio Elizalde, El Piedrero 218009004 Portoviejo 218009005 Daule, Pedro Carbo, Santa Lucía, Lomas de Sargentillo, Nobol, Isidro Ayora 218009006 Manta 218009007 Babahoyo, Montalvo 218009008 La Libertad, Salinas 218009009 Santa Elena, San Cristóbal, Isabela, Santa Cruz 218009010 Vinces, Palenque 218009011 Jipijapa, Puerto López 218009012 Junín, Rocafuerte, Tosagua 218009013 Montecristi, Jaramijó 218009014 Cayambe 218009015 Rumiñahui 218009016 Ventanas, Quinsaloma 218009017 San Lorenzo, Eloy Alfaro 218009018 Mejía 218009019 Azogues, Déleg 218009020 Bolívar, Pichincha 218009021 Naranjal 218009022 Samborondón 218009023 Santa Ana, Olmedo 218009024 Salitre (Urbina Jado) 218009025 Baba 218009026 Paján 218009027 Puebloviejo 218009028 Pedro Moncayo 218009029 Urdaneta 218009030 24 de Mayo 218009031 Muisne 218009099 Cañar, Esmeraldas, Guayas, Manabí, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los Ríos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos provinces, unknown canton 218010001 Ibarra, Pimampiro, San Miguel de Urcuquí 218010002 Otavalo 218010003 Cotacachi, Las Golondrinas 218010004 Antonio Ante 218010099 Imbabura province, unknown canton 218011001 Loja, Catamayo 218011002 Calvas, Espíndola, Macará, Sozoranga, Quilanga 218011003 Celica, Puyango, Zapotillo, Pindal 218011004 Chaguarpamba, Gonzanamá, Paltas, Olmedo 218011005 Saraguro 218011099 Loja province, unknown canton 218014001 Morona, Palora, Santiago, Sucúa, Huamboya, Taisha, Logroño, Pablo Sexto, Tiwintza 218014002 Gualaquiza, Limón Indanza, San Juan Bosco 218014099 Morona Santiago province, unknown canton 218016001 Mera, Santa Clara, Arajuno, Pastaza 218016099 Pastaza province, unknown canton 218018001 Ambato, Cevallos, Mocha, Quero, Tisaleo 218018002 Patate, San Pedro de Pelileo 218018003 Santiago de Píllaro 218018004 Baños de Agua Santa 218018099 Tungurahua province, unknown canton 218019001 Zamora, Chinchipe, Nangaritza, Yacuambi, Yantzaza (Yanzatza), El Pangui, Centinela del Condór, Palanda, Paquisha 218019099 Zamora Chinchipe province, unknown canton 218021001 Tena, Archidona, El Chaco, Quijos, Carlos Julio Arosemena Tola, Lago Agrio, Gonzalo Pizarro, Putumayo, Shushufindi, Sucumbíos, Cascales, Cuyabeno, Orellana, Aguarico, La Joya de los Sachas, Loreto 218021099 Napo province, unknown canton 218097097 Foreign country 218098098 Unknown Migration: A-E Variables -- PERSON Person number (within household) Ecuador 1982: All persons This variable indicates the person's record number within the household (household records get zero.) 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 Technical Person Variables -- PERSON Relationship to household head <svar v="EC82A401" a="all">2. What is your relationship to the head of the household? Mark the appropriate box.<br /><div class="i1">Person 1:</div><br /><div class="i2">[] 0 Head</div><br /><div class="i1">Persons 2 and 3:</div><br /><div class="i2">[] 1 Spouse, partner<br />[] 2 Son/daughter<br />[] 3 Son- or daughter-in-law<br />[] 4 Grandchild<br />[] 5 Parents or parents-in-law<br />[] 6 Other relatives<br />[] 7 Other non-relatives<br />[] 8 Domestic employee [explicitly female]</div><br /></svar> <svar v="EC82A401" a="all"><span class="em">Question 2. </span>What family or other relationship do you have to the head of household?<br /><br />Beginning with this question, you should record the information vertically, with one column for each member of the household.<br /><br />The first column is for the head of household.<br /><br />In the following columns, mark an X in the box corresponding to the family or other relationship that each of the people has to the head of household.<br /><br />If it is a partner, put the X in box 1; if it is a son or daughter, put the X in box 2, etc.<br /><br />In the case of collective dwellings, eliminate the first column corresponding to the head of household, using a vertical line.<br /></svar> Ecuador 1982: All persons This variable indicates the relationship of the person to the household head. 0 Head 1 Spouse, partner 2 Son/daughter 3 Son- or daughter-in-law 4 Grandchild 5 Parents or parents-in-law 6 Other relatives 7 Other not related 8 Domestic servant 9 Collective dwelling Demographic Variables -- PERSON Sex <svar v="EC82A402" a="all">3. Are you male or female? Mark the appropriate box.<br /><div class="i1">[] 1 Male<br />[] 2 Female</div><br /></svar> <svar v="EC82A402" a="all"><span class="em">Question 3. </span>Are you a man or a woman?<br /><br />Mark with an X the box corresponding to the sex of the person you are interviewing.<br /></svar> Ecuador 1982: All persons This variable indicates the gender of the individual. 1 Male 2 Female Demographic Variables -- PERSON Age <svar v="EC82A403" a="all">4. How old are you?<br /><div class="i1">Write the age at last birthday. For those under one year write "00".<br /><br />____ Years completed</div><br /></svar> <svar v="EC82A403" a="all"><span class="em">Question 4. </span>How old are you in completed years?<br /><br />Record on the corresponding line the number of completed years as of the last birthday, and not the number of years that the person is going to complete.<br /><br />For those less than one year old, record 00.<br /></svar> Ecuador 1982: All persons This variable indicates the age of individual at last birthday. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95+ 99 Unknown Demographic Variables -- PERSON Province of birth <svar v="EC82A404 EC82A405 EC82A406" a="all">5. Where were you born?<br /><div class="i1">If born in the rural parish or city where enumerated, mark the box Here; otherwise write the name of the rural parish or city and province. If born abroad, write just the name of the country.<br /><br />[] 00 Here<br />____ Rural parish or city<br />____ Province<br />____ Foreign country<br /> [] 99 Unknown</div><br /></svar> <svar v="EC82A404 EC82A405 EC82A406" a="all"><span class="em">Question 5. </span>Where were you born?<br /><br />Mark <span class="em">here</span> if the person was born in the rural parish or city where they are being enumerated.<br /><br />Otherwise, write the name of the rural parish or city and province where the person was born.<br /><br />If they were born abroad, record only the name of the country.<br /></svar> Ecuador 1982: All persons This variable indicates the province of birth. 10 Carchi 11 Imbabura 12 Pichincha 13 Cotopaxi 14 Tungurahua 15 Bolivar 16 Chimbo Razo 17 Canar 18 Azuay 19 Loja 20 Esmeraloas 21 Manabi 22 Los Rios 23 Guayas 24 El Oro 30 Napo 31 Pastaza 32 Maorona Santiago 33 Zamora Chinchipe 40 Galapagos 41 Disputed zones 50 America 60 Europe 70 Asia 80 Africa 90 Oceania 99 Unknown Nativity and Birthplace Variables -- PERSON Canton of birth <svar v="EC82A404 EC82A405 EC82A406" a="all">5. Where were you born?<br /><div class="i1">If born in the rural parish or city where enumerated, mark the box Here; otherwise write the name of the rural parish or city and province. If born abroad, write just the name of the country.<br /><br />[] 00 Here<br />____ Rural parish or city<br />____ Province<br />____ Foreign country<br /> [] 99 Unknown</div><br /></svar> <svar v="EC82A404 EC82A405 EC82A406" a="all"><span class="em">Question 5. </span>Where were you born?<br /><br />Mark <span class="em">here</span> if the person was born in the rural parish or city where they are being enumerated.<br /><br />Otherwise, write the name of the rural parish or city and province where the person was born.<br /><br />If they were born abroad, record only the name of the country.<br /></svar> Ecuador 1982: All persons This variable indicates the canton of birth. 1001 Tulcan 1002 Espejo 1003 Mira 1004 Montufar 1101 Ibarra 1102 Antonio Ante 1103 Cotachachi 1104 Otavalo 1105 Pimampiro 1201 Quito 1202 Cayambe 1203 Mejia 1204 Pedro Moncayo 1205 Ruminahui 1206 Santo Domingo de los Colorados 1301 Latacunga 1302 Pangua 1303 Pujili 1304 Salcedo 1305 Saquisili 1401 Ambato 1402 Banos 1403 Patate 1404 San Pedro de Pelileo 1405 Santiago de Pillarc 1406 Quero 1501 Guaranda 1502 Chillanes 1503 Chimbo 1504 San Miguel 1601 Riobamba 1602 Alausi 1603 Colta 1604 Chunchi 1605 Guamote 1606 Guano 1701 Azogues 1702 Biblian 1703 Canar 1801 Cuenca 1802 Giron 1803 Gualaceo 1804 Paute 1805 Santa Isabel 1806 Sigsig 1901 Loja 1902 Calvas 1903 Catamayo 1904 Celica 1905 Espindola 1906 Gonzanama 1907 Macara 1908 Paltas 1909 Puyango 1910 Saraguro 1911 Sozoranga 1912 Zapctillo 2001 Esmeraldas 2002 Eloy Alfarg 2003 Muisne 2004 Quininde 2005 San Lorenzo 2101 Portuviejo 2102 Bolivar 2103 Chone 2104 El Carmen 2105 Jipijapa 2106 Junin 2107 Manta 2108 Montecristi 2109 Pajan 2110 Rocafuerte 2111 Santa Ana 2112 Sucre 2113 24 de Mayo 2201 Babahoyo 2202 Baba 2203 Puebloviejo 2204 Quevedo 2205 Urdaweta 2206 Ventanas 2207 Vinces 2301 Guayaquil 2302 Balzar 2303 Daule 2304 El Empalme 2305 Milagro 2306 Naranjal 2307 Naranjito 2308 Salinas 2309 Samborondon 2310 Santa Elena 2311 Urbina Jado 2312 Yaguachi 2401 Machala 2402 Arenillas 2403 El Guabo 2404 Huaquillas 2405 Pasaje 2406 Pinas 2407 Portovelo 2408 Santa Rosa 2409 Zaruma 3001 Tena 3002 Aguarico 3003 Archidona 3004 Lago Agrio 3005 Orellana 3006 Putumayo 3007 Qui Jos 3008 Sucumbios 3101 Pastaza 3102 Mera 3201 Murona 3202 Gualaquiza 3203 Li Mon Indanza 3204 Palora 3205 Santiago 3206 Sucua 3301 Zamora 3302 Chinchipe 3303 Yacuambi 3304 Yantzaza 4001 San Cristobal 4002 Isabela 4003 Santa Cruz 4101 Zone 1 5001 America 6002 Europe 7003 Asia 8004 Africa 9005 Oceania 9999 Unknown Nativity and Birthplace Variables -- PERSON Province of habitual residence <svar v="EC82A407 EC82A409" a="all">6. In what rural parish or city do you habitually live?<br /><div class="i1">If the place of habitual residence is the rural parish or city where enumerated, mark the box Here; otherwise write the name of the rural parish or city and province. If living abroad, write just the name of the country.<br /><br />[] 00 Here<br />____ Rural parish or city<br />____ Province<br />____ Foreign country<br /> [] 99 Unknown</div><br /></svar> <svar v="EC82A407 EC82A408 EC82A409" a="all"><span class="em">Question 6. </span>In what rural parish or city do you usually live?<br /><br />Mark the box <span class="em">here</span> if the place where the person usually lives is the rural parish or city where they are enumerated.<br /><br />Otherwise, record the name of the rural parish or city and province where they live.<br /><br />If the person lives abroad, record only the country.<br /></svar> Ecuador 1982: All persons This variable indicates the province of habitual residence. 10 Carchi 11 Imbabura 12 Pichincha 13 Cotopaxi 14 Tungurahua 15 Bolivar 16 Chimbo Razo 17 Canar 18 Azuay 19 Loja 20 Esmeraloas 21 Manabi 22 Los Rios 23 Guayas 24 El Oro 30 Napo 31 Pastaza 32 Maorona Santiago 33 Zamora Chinchipe 40 Galapagos 41 Disputed zones 50 America 60 Europe 70 Asia 80 Africa 90 Oceania 99 Unknown Migration: Global Variables -- PERSON Years of residence in city or rural parish <svar v="EC82A410" a="all">7. How long have you lived in the place indicated?<br /><div class="i1">Write the period of residence in the place indicated in question 6. If living there less than one year, write "00."<br /><br />[] 98 Always (Skip to question 9)</div><br /><div class="i2">____ Number of years</div><br /><div class="i1">[] 99 Unknown</div><br /></svar> <svar v="EC82A410" a="all"><span class="em">Question 7. </span>How long have you lived in the place indicated?<br /><br />Mark the box <span class="em">always</span> with an X when the person being enumerated has always lived in the place indicated in the previous question. <br /><br />In this case, continue directly to question 9.<br /><br />If the person doesn't report <span class="em">always</span> or all of the time, record on the appropriate line the number of years that the informant reports; if it is less than 1 year, record 00.<br /></svar> Ecuador 1982: All persons This variable indicates the years of residence at the habitual residence (city or rural parish). 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 98 Always 99 Unknown Migration: Global Variables -- PERSON Province of prior residence <svar v="EC82A411 EC82A412 EC82A413" a="all">8. In what rural parish or city did you live before?<br /><div class="i1">Write the name of the rural parish or city and province. If abroad, write just the name of the country.<br /><br />____ Rural parish or city<br />____ Province<br />____ Foreign country<br /> [] 99 Unknown</div><br /></svar> <svar v="EC82A411 EC82A412 EC82A413" a="all"><span class="em">Question 8. </span>In what rural parish or city did you live before?<br /><br />Don't ask this question of those who answered <span class="em">always</span> to the previous question.<br /><br />If this is not the case, record on the respective lines the name of the rural parish or city and province where the person lived before.<br /><br />If the person lived abroad, record only the country.<br /></svar> Ecuador 1982: All persons This variable indicates the province of prior residence. 10 Carchi 11 Imbabura 12 Pichincha 13 Cotopaxi 14 Tungurahua 15 Bolivar 16 Chimbo Razo 17 Canar 18 Azuay 19 Loja 20 Esmeraloas 21 Manabi 22 Los Rios 23 Guayas 24 El Oro 30 Napo 31 Pastaza 32 Maorona Santiago 33 Zamora Chinchipe 40 Galapagos 41 Disputed zones 50 America 60 Europe 70 Asia 80 Africa 90 Oceania 99 Unknown Migration: Global Variables -- PERSON Canton of prior residence <svar v="EC82A411 EC82A412 EC82A413" a="all">8. In what rural parish or city did you live before?<br /><div class="i1">Write the name of the rural parish or city and province. If abroad, write just the name of the country.<br /><br />____ Rural parish or city<br />____ Province<br />____ Foreign country<br /> [] 99 Unknown</div><br /></svar> <svar v="EC82A411 EC82A412 EC82A413" a="all"><span class="em">Question 8. </span>In what rural parish or city did you live before?<br /><br />Don't ask this question of those who answered <span class="em">always</span> to the previous question.<br /><br />If this is not the case, record on the respective lines the name of the rural parish or city and province where the person lived before.<br /><br />If the person lived abroad, record only the country.<br /></svar> Ecuador 1982: All persons This variable indicates the canton of prior residence. 1001 Tulcan 1002 Espejo 1003 Mira 1004 Montufar 1101 Ibarra 1102 Antonio Ante 1103 Cotachachi 1104 Otavalo 1105 Pimampiro 1201 Quito 1202 Cayambe 1203 Mejia 1204 Pedro Moncayo 1205 Ruminahui 1206 Santo Domingo de los Colorados 1301 Latacunga 1302 Pangua 1303 Pujili 1304 Salcedo 1305 Saquisili 1401 Ambato 1402 Banos 1403 Patate 1404 San Pedro de Pelileo 1405 Santiago de Pillarc 1406 Quero 1501 Guaranda 1502 Chillanes 1503 Chimbo 1504 San Miguel 1601 Riobamba 1602 Alausi 1603 Colta 1604 Chunchi 1605 Guamote 1606 Guano 1701 Azogues 1702 Biblian 1703 Canar 1801 Cuenca 1802 Giron 1803 Gualaceo 1804 Paute 1805 Santa Isabel 1806 Sigsig 1901 Loja 1902 Calvas 1903 Catamayo 1904 Celica 1905 Espindola 1906 Gonzanama 1907 Macara 1908 Paltas 1909 Puyango 1910 Saraguro 1911 Sozoranga 1912 Zapctillo 2001 Esmeraldas 2002 Eloy Alfarg 2003 Muisne 2004 Quininde 2005 San Lorenzo 2101 Portuviejo 2102 Bolivar 2103 Chone 2104 El Carmen 2105 Jipijapa 2106 Junin 2107 Manta 2108 Montecristi 2109 Pajan 2110 Rocafuerte 2111 Santa Ana 2112 Sucre 2113 24 de Mayo 2201 Babahoyo 2202 Baba 2203 Puebloviejo 2204 Quevedo 2205 Urdaweta 2206 Ventanas 2207 Vinces 2301 Guayaquil 2302 Balzar 2303 Daule 2304 El Empalme 2305 Milagro 2306 Naranjal 2307 Naranjito 2308 Salinas 2309 Samborondon 2310 Santa Elena 2311 Urbina Jado 2312 Yaguachi 2401 Machala 2402 Arenillas 2403 El Guabo 2404 Huaquillas 2405 Pasaje 2406 Pinas 2407 Portovelo 2408 Santa Rosa 2409 Zaruma 3001 Tena 3002 Aguarico 3003 Archidona 3004 Lago Agrio 3005 Orellana 3006 Putumayo 3007 Qui Jos 3008 Sucumbios 3101 Pastaza 3102 Mera 3201 Murona 3202 Gualaquiza 3203 Limon Indanza 3204 Palora 3205 Santiago 3206 Sucua 3301 Zamora 3302 Chinchipe 3303 Yacuambi 3304 Yantzaza 4001 San Cristobal 4002 Isabela 4003 Santa Cruz 4101 Zona 1 4102 Undocumented 5001 America 6002 Europe 7003 Asia 8004 Africa 9005 Oceania 1099 Carchi, unknown Canton 1199 Imbabura, unknown Canton 1299 Pichincha, unknown Canton 1399 Cotopaxi, unknown Canton 1499 Tungurahua, unknown Canton 1599 Bolivar, unknown Canton 1699 Chimbo Razo, unknown Canton 1799 Canar, unknown Canton 1899 Azuay, unknown Canton 1999 Loja, unknown Canton 2099 Esmeraloas, unknown Canton 2199 Manabi, unknown Canton 2299 Los Rios, unknown Canton 2399 Guayas, unknown Canton 2499 El Oro, unknown Canton 3099 Napo, unknown Canton 3199 Pastaza, unknown Canton 3299 Morona Santiago, unknown Canton 3399 Zamora Chinchipe, unknown Canton 4099 Galapagos, unknown Canton 9999 Unknown Migration: Global Variables -- PERSON Able to read and write <svar v="EC82A414 EC82A415 EC82A416 EC82A417 EC82A418"><span class="em">For all individuals 6 years of age and older</span><br /></svar></p> <p><svar v="EC82A414" a="all">9. Do you know how to read and write?<br /><div class="i1">If only able to read or only able to write mark the box "no."<br /><br />[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v="EC82A414 EC82A415 EC82A416 EC82A417 EC82A418"><span class="em">Questions 9, 10 and 11 on Educational characteristics should be asked of all people 6 and older.</span><br /></svar></p> <p><svar v="EC82A414" a="all"><span class="em">Question 9.</span> Do you know how to read and write?<br /><br />If the person knows how to read and write, mark the <span class="em">yes</span> box.<br /><br />If the person only reads or only writes, mark the <span class="em">no</span> box.<br /><br />If the person doesn't know how to read and write, mark the <span class="em">no</span> box.<br /></svar> Ecuador 1982: Persons age 6+ [discrepancies: none] This variable indicates whether the individual is able to read and write. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Education Variables -- PERSON Currently attending school <svar v="EC82A414 EC82A415 EC82A416 EC82A417 EC82A418"><span class="em">For all individuals 6 years of age and older</span><br /></svar></p> <p><svar v="EC82A415" a="all">10. Do you attend any institution of regular schooling, whether a literacy center, primary, secondary, or post-secondary (superior)?<br /><div class="i1">[] 1 Yes, attending<br />[] 2 Not attending<br />[] 9 Unknown</div><br /></svar> <svar v="EC82A414 EC82A415 EC82A416 EC82A417 EC82A418"><span class="em">Questions 9, 10 and 11 on Educational characteristics should be asked of all people 6 and older.</span><br /></svar></p> <p><svar v="EC82A415" a="all"><span class="em">Question 10.</span> Do you attend any regular instructional establishment, literacy center, primary, secondary, or post-secondary [school]?<br /><br />Mark the box that corresponds to the answer that the informant gives. Don't take into account short courses and correspondence courses.<br /></svar> Ecuador 1982: Persons age 6+ [discrepancies: none] This variable indicates whether the person is currently attending school or not. 0 NIU (not in universe) 1 Yes, attending 2 Not attending 9 Unknown Education Variables -- PERSON Level of instruction <svar v="EC82A414 EC82A415 EC82A416 EC82A417 EC82A418"><span class="em">For all individuals 6 years of age and older</span><br /></svar></p> <p><svar v="EC82A416 EC82A417 EC82A418" a="all">11. What is the highest grade, class or year of schooling completed in the literacy center, primary, secondary, or post-secondary school?<br /><div class="i1">Write the number of the highest grade, course or year completed on the corresponding line.<br /><br />[] 00 None<br />____ 1. Literacy center<br />____ 2. Primary<br />____ 3. Secondary<br />____ 4. Post-secondary<br />[] 99 Unknown</div><br /></svar> <svar v="EC82A414 EC82A415 EC82A416 EC82A417 EC82A418"><span class="em">Questions 9, 10 and 11 on Educational characteristics should be asked of all people 6 and older.</span><br /></svar></p> <p><svar v="EC82A416 EC82A417 EC82A418" a="all"><span class="em">Question 11.</span> What is the last grade, level, or year that you passed in the literacy center, primary, secondary, or post-secondary [school]?<br /><br />On the line corresponding to the level, record the number of the highest grade or year that the person passed, and not the one that they are in. Don't take into account short courses and correspondence courses.<br /></svar> Ecuador 1982: Persons age 6+ [discrepancies: none] This variable indicates the highest level of instruction. 0 None 1 Literacy center 2 Primary 3 Secondary 4 Post-secondary 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Last year of schooling attained within particular degree <svar v="EC82A414 EC82A415 EC82A416 EC82A417 EC82A418"><span class="em">For all individuals 6 years of age and older</span><br /></svar></p> <p><svar v="EC82A416 EC82A417 EC82A418" a="all">11. What is the highest grade, class or year of schooling completed in the literacy center, primary, secondary, or post-secondary school?<br /><div class="i1">Write the number of the highest grade, course or year completed on the corresponding line.<br /><br />[] 00 None<br />____ 1. Literacy center<br />____ 2. Primary<br />____ 3. Secondary<br />____ 4. Post-secondary<br />[] 99 Unknown</div><br /></svar> <svar v="EC82A414 EC82A415 EC82A416 EC82A417 EC82A418"><span class="em">Questions 9, 10 and 11 on Educational characteristics should be asked of all people 6 and older.</span><br /></svar></p> <p><svar v="EC82A416 EC82A417 EC82A418" a="all"><span class="em">Question 11.</span> What is the last grade, level, or year that you passed in the literacy center, primary, secondary, or post-secondary [school]?<br /><br />On the line corresponding to the level, record the number of the highest grade or year that the person passed, and not the one that they are in. Don't take into account short courses and correspondence courses.<br /></svar> Ecuador 1982: Persons age 6+ [discrepancies: none] This variable indicates the highest year of education within a particular degree. 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 Higher education, year unknown 09 Unknown 99 NIU (not in universe) Education Variables -- PERSON Level and year of schooling attained <svar v="EC82A414 EC82A415 EC82A416 EC82A417 EC82A418"><span class="em">For all individuals 6 years of age and older</span><br /></svar></p> <p><svar v="EC82A416 EC82A417 EC82A418" a="all">11. What is the highest grade, class or year of schooling completed in the literacy center, primary, secondary, or post-secondary school?<br /><div class="i1">Write the number of the highest grade, course or year completed on the corresponding line.<br /><br />[] 00 None<br />____ 1. Literacy center<br />____ 2. Primary<br />____ 3. Secondary<br />____ 4. Post-secondary<br />[] 99 Unknown</div><br /></svar> <svar v="EC82A414 EC82A415 EC82A416 EC82A417 EC82A418"><span class="em">Questions 9, 10 and 11 on Educational characteristics should be asked of all people 6 and older.</span><br /></svar></p> <p><svar v="EC82A416 EC82A417 EC82A418" a="all"><span class="em">Question 11.</span> What is the last grade, level, or year that you passed in the literacy center, primary, secondary, or post-secondary [school]?<br /><br />On the line corresponding to the level, record the number of the highest grade or year that the person passed, and not the one that they are in. Don't take into account short courses and correspondence courses.<br /></svar> Ecuador 1982: Persons age 6+ [discrepancies: none] This variable indicates the degree and year of schooling attained. 00 None 11 Literacy center, grade 1 12 Literacy center, grade 2 13 Literacy center, grade 3 21 Primary, grade 1 22 Primary, grade 2 23 Primary, grade 3 24 Primary, grade 4 25 Primary, grade 5 26 Primary, grade 6 31 Secondary, grade 1 32 Secondary, grade 2 33 Secondary, grade 3 34 Secondary, grade 4 35 Secondary, grade 5 36 Secondary, grade 6 41 Post-secondary, grade 1 42 Post-secondary, grade 2 43 Post-secondary, grade 3 44 Post-secondary, grade 4 45 Post-secondary, grade 5 46 Post-secondary, grade 6 47 Post-secondary, grade 7 48 Post-secondary, grade unknown 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Enrolled in Social Security <svar v="EC82A419 EC82A420 EC82A421 EC82A422 EC82A423 EC82A424 EC82A425 EC82A426 EC82A427 EC82A428"><span class="em"> For all individuals 12 years of age and older</span><br /></svar></p> <p><svar v="EC82A419 EC82A420" a="all">12. Are or were you a participant in the social security?<br /><div class="i1">[] 1 Yes</div><br /><div class="i2">Currently contributing?</div><br /><div class="i3">[] 3 Yes<br />[] 4 No</div><br /><div class="i1">[] 2 No</div><br /></svar> <svar v="EC82A419 EC82A420 EC82A421 EC82A422 EC82A423 EC82A424 EC82A425 EC82A426 EC82A427 EC82A428"><span class="em">Questions 12, 13, 14, 15 and 16 on Economic characteristics should be asked of all people 12 and older.</span><br /></svar></p> <p><svar v="EC82A419 EC82A420" a="all"><span class="em">Question 12. </span>Are you or were you a member of Social Security?<br /><br /><span class="em">[This paragraph is in the rural manual]</span> Any person who at one time made and/or is making contributions to Social Security is considered a member. A member can be an employee or manual laborer in a public or a private company, or a worker who voluntarily contributes and heads of family covered by municipalities that are part of rural Social Security. If the member pays on their own or knows that his contributions are being deducted, the person is considered to be currently contributing.<br /><br />If the person is or was a member, put an X in box 1.<br /><br />If the person has never been a member, mark box 2.<br /><br />If the person responds that they are or were a member, ask: <span class="em">Do you currently contribute?</span> and when the answer is affirmative, mark box 3; when the response is negative, mark box 4.<br /></svar> Ecuador 1982: Persons age 12+ [discrepancies: none] This variable indicates whether the person is affiliated with social security, which is public health system in Ecuador. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Work Variables -- PERSON Contributing to Social Security <svar v="EC82A419 EC82A420 EC82A421 EC82A422 EC82A423 EC82A424 EC82A425 EC82A426 EC82A427 EC82A428"><span class="em"> For all individuals 12 years of age and older</span><br /></svar></p> <p><svar v="EC82A419 EC82A420" a="all">12. Are or were you a participant in the social security?<br /><div class="i1">[] 1 Yes</div><br /><div class="i2">Currently contributing?</div><br /><div class="i3">[] 3 Yes<br />[] 4 No</div><br /><div class="i1">[] 2 No</div><br /></svar> <svar v="EC82A419 EC82A420 EC82A421 EC82A422 EC82A423 EC82A424 EC82A425 EC82A426 EC82A427 EC82A428"><span class="em">Questions 12, 13, 14, 15 and 16 on Economic characteristics should be asked of all people 12 and older.</span><br /></svar></p> <p><svar v="EC82A419 EC82A420" a="all"><span class="em">Question 12. </span>Are you or were you a member of Social Security?<br /><br /><span class="em">[This paragraph is in the rural manual]</span> Any person who at one time made and/or is making contributions to Social Security is considered a member. A member can be an employee or manual laborer in a public or a private company, or a worker who voluntarily contributes and heads of family covered by municipalities that are part of rural Social Security. If the member pays on their own or knows that his contributions are being deducted, the person is considered to be currently contributing.<br /><br />If the person is or was a member, put an X in box 1.<br /><br />If the person has never been a member, mark box 2.<br /><br />If the person responds that they are or were a member, ask: <span class="em">Do you currently contribute?</span> and when the answer is affirmative, mark box 3; when the response is negative, mark box 4.<br /></svar> Ecuador 1982: Persons who are affiliated with social security [discrepancies: none] This variable indicates if the person contributed to social security. 0 NIU (not in universe) 3 Currently contributing 4 Not currently contributing 9 Unknown Work Variables -- PERSON Employment status <svar v="EC82A419 EC82A420 EC82A421 EC82A422 EC82A423 EC82A424 EC82A425 EC82A426 EC82A427 EC82A428"><span class="em"> For all individuals 12 years of age and older</span><br /></svar></p> <p><svar v="EC82A421" a="all">13. What did you do the greater part of the days between the 7th and the 13th of November?<br /><div class="i1">Ask the questions in the order indicated: Worked? Did not work but had a job? Etc. and upon receiving a reply, mark the respective box and go on the next appropriate question.<br /><br />[] 1 Worked?<br />[] 2 Did not work but had a job?<br />[] 3 Unemployed? (Looked for work having worked before)<br /><br /><span class="em">For responses 1-3, continue with question 14</span><br /><br />[] 4 Looked for work for the first time?<br />[] 5 Studied exclusively?<br />[] 6 Did household tasks exclusively?<br />[] 7 Exclusively retired or pensioner?<br />[] 8 Others<br />[] 9 Unknown</div><br /><br /><span class="em">For responses 4 - 9, women skip to 17, men skip to 21</span><br /></svar> <svar v="EC82A419 EC82A420 EC82A421 EC82A422 EC82A423 EC82A424 EC82A425 EC82A426 EC82A427 EC82A428"><span class="em">Questions 12, 13, 14, 15 and 16 on Economic characteristics should be asked of all people 12 and older.</span><br /></svar></p> <p><svar v="EC82A421" a="all"><span class="em">Question 13. </span>What did you do the majority of the days between the 7th and the 13th of November?<br /><br />When asking the question, read the options in the order indicated. Did you work?, Did you not work but had a job?, and thus successively until you get an answer; then, mark the appropriate box and follow the directions that appear next to it and which indicate to you the question with which to continue.<br /><br /><span class="em">[The following instructions are in the rural manual, on pages 36 and 37.] </span> In this question, it's important to take special care with the following aspects:<br /><br />As much as possible, ask those 12 and older directly. Pay a lot of attention when enumerating women. In rural areas, at the same time that they carry out domestic tasks in the household, women generally do work with agriculture/livestock, handicrafts or business that they frequently don't report because they consider it to be part of their domestic activity. In these circumstances, it is necessary to determine what the person did the majority of the week prior to the Census, in order to establish the questions that should be asked next. When people 12 years and older, especially women, report that they performed household duties, find out if they were done in their household or if it was a compensated activity in another place, in which case you should mark box 0, which corresponds to the option: Did you work?.<br /><br /></svar> Ecuador 1982: Persons age 12+ [discrepancies: none] This variable indicates the economic activity of a person during last week. 00 Worked 01 Did not work but was employed 02 Looked for work and had worked before 03 Looked for work for first time 04 Student 05 Household duties 06 Retired 07 Pensioner 08 Others 09 Unknown 99 NIU (not in universe) Work Variables -- PERSON Occupation, 1 digit <svar v="EC82A419 EC82A420 EC82A421 EC82A422 EC82A423 EC82A424 EC82A425 EC82A426 EC82A427 EC82A428"><span class="em"> For all individuals 12 years of age and older</span><br /></svar></p> <p><svar v="EC82A422 EC82A423 EC82A424 EC82A425 EC82A426 EC82A427 EC82A428"><span class="em">Questions 14 - 16 are only for those who answered 1, 2, or 3 in question 13.</span><br /></svar></p> <p><svar v="EC82A422 EC82A423 EC82A424" a="all">14. What is the occupation that provided the greatest income in the days from November 7th to 13th, or what was your last occupation if unemployed?<br /><div class="i1">Write with some detail the work performed.<br /><br />____ [In addition to the space for the response, a blank, 3-character box also appears in the corner of this item.]</div><br /></svar> <svar v="EC82A419 EC82A420 EC82A421 EC82A422 EC82A423 EC82A424 EC82A425 EC82A426 EC82A427 EC82A428"><span class="em">Questions 12, 13, 14, 15 and 16 on Economic characteristics should be asked of all people 12 and older.</span><br /></svar></p> <p><svar v="EC82A422 EC82A423 EC82A424" a="all"><span class="em">Question 14. </span>What is the occupation that provided you with the greatest income during the days between the 7th and 13th of November or what was your last occupation if you were unemployed?<br /><br />This question, as well as numbers 15 and 16, should only be asked of those people who responded with 0, 1, or 2 to question 13.<br /><br />If the answer that the informant gives is ambiguous or not very clear, ask them to describe in some detail the work that they do and record what they report.<br /><br /><span class="em">[The information below appears in a table in the original document.]</span><br /><br />Incorrect recording: Teacher<br />Correct recording: Primary school teacher, high school teacher, music teacher<br /><br />Incorrect recording: Craftsman<br />Correct recording: Radio technician, carpenter, potter<br /><br />Incorrect recording: Seller<br />Correct recording: Pharmaceutical salesman, department store salesclerk, ticket and fare agent, life insurance salesman<br /><br />Incorrect recording: Laborer, day-laborer or unskilled laborer<br />Correct recording: Unskilled farm worker, stevedore or dock worker, caretaker of vehicles<br /><br />Incorrect recording: Mechanic<br />Correct recording: Auto mechanic, precision mechanic, dental technician<br /><br /><span class="em">[The following is in the rural manual]</span> Don't record manual laborer, unskilled laborer, mechanic, seller. Insist that the information be more precise, for example: construction worker, unskilled farm worker, milker, etc.<br /></svar> Ecuador 1982: Persons age 12+ who worked, or did not work but were employed, or looked for work and had worked before [discrepancies: none] This variable indicates the 1-digit occupation code. 0 Unknown 1 Professionals, technicians and similar workers 2 Directors and top government officials 3 Administrative personnel and similar workers 4 Storekeepers and vendors 5 Service workers 6 Agricultural and forestry workers, fishers and hunters 7 Non agricultural workers, machine and transportation vehicle drivers and similar workers 8 Armed forces 9 NIU (not in universe) Work: Occupation Variables -- PERSON Occupation, 2 digits <svar v="EC82A419 EC82A420 EC82A421 EC82A422 EC82A423 EC82A424 EC82A425 EC82A426 EC82A427 EC82A428"><span class="em"> For all individuals 12 years of age and older</span><br /></svar></p> <p><svar v="EC82A422 EC82A423 EC82A424 EC82A425 EC82A426 EC82A427 EC82A428"><span class="em">Questions 14 - 16 are only for those who answered 1, 2, or 3 in question 13.</span><br /></svar></p> <p><svar v="EC82A422 EC82A423 EC82A424" a="all">14. What is the occupation that provided the greatest income in the days from November 7th to 13th, or what was your last occupation if unemployed?<br /><div class="i1">Write with some detail the work performed.<br /><br />____ [In addition to the space for the response, a blank, 3-character box also appears in the corner of this item.]</div><br /></svar> <svar v="EC82A419 EC82A420 EC82A421 EC82A422 EC82A423 EC82A424 EC82A425 EC82A426 EC82A427 EC82A428"><span class="em">Questions 12, 13, 14, 15 and 16 on Economic characteristics should be asked of all people 12 and older.</span><br /></svar></p> <p><svar v="EC82A422 EC82A423 EC82A424" a="all"><span class="em">Question 14. </span>What is the occupation that provided you with the greatest income during the days between the 7th and 13th of November or what was your last occupation if you were unemployed?<br /><br />This question, as well as numbers 15 and 16, should only be asked of those people who responded with 0, 1, or 2 to question 13.<br /><br />If the answer that the informant gives is ambiguous or not very clear, ask them to describe in some detail the work that they do and record what they report.<br /><br /><span class="em">[The information below appears in a table in the original document.]</span><br /><br />Incorrect recording: Teacher<br />Correct recording: Primary school teacher, high school teacher, music teacher<br /><br />Incorrect recording: Craftsman<br />Correct recording: Radio technician, carpenter, potter<br /><br />Incorrect recording: Seller<br />Correct recording: Pharmaceutical salesman, department store salesclerk, ticket and fare agent, life insurance salesman<br /><br />Incorrect recording: Laborer, day-laborer or unskilled laborer<br />Correct recording: Unskilled farm worker, stevedore or dock worker, caretaker of vehicles<br /><br />Incorrect recording: Mechanic<br />Correct recording: Auto mechanic, precision mechanic, dental technician<br /><br /><span class="em">[The following is in the rural manual]</span> Don't record manual laborer, unskilled laborer, mechanic, seller. Insist that the information be more precise, for example: construction worker, unskilled farm worker, milker, etc.<br /></svar> Ecuador 1982: Persons age 12+ who worked, or did not work but were employed, or looked for work and had worked before [discrepancies: none] This variable indicates the 2-digit occupation code. 000 Unknown 001 Specialists in sciences, physics, chemists and similar technicians 002 Architects, engineers and similar technicians 003 Architects, engineers and similar technicians 004 Pilots and deck ship officials and machine working officials (aviation and maritime) 005 Biologists, agronomists and similar technicians 006 Doctors, dental surgeons, veterinarians and similar workers 007 Doctors, dental surgeons, veterinarians and similar workers 008 Statisticians, mathematicians, system analyists and similar technicians 009 Economists 010 Professionals, technicians and similar workers 011 Accountants 012 Jurists 013 Professors 014 Members of the clergy and similar workers 015 Authors, journalists and similar writers 016 Sculptors, painters, photographers and similar artists 017 Musicians, artists, businessmen and producers of show business shows 018 Athletes, sportspersons and similar workers 019 Professional technicians and similar workers not classified in other categories 020 Members of legislative bodies and directive personnel of public administration 021 Directors and directive personnel 030 Heads of office employees 031 Administrative agents (public administration) 032 Shorthand clerks, typists and operators of card and tape machines 033 Accounting employees, cashiers and similar workers 034 Operators of machines for calculations, accounting and statistics 035 Heads of transportation services and of communications 036 Heads of train, controllers of sleeping coaches and chargers 037 Mailmen and messengers 038 Telephone and telegraph operators 039 Administrative personnel and similar workers not classified in other categories 040 Storekeepers and venders 041 Storekeepers and owners (wholesale and retail commerce) 042 Heads of sales and buyers 043 Technical sales agents, commerce travelers and factory representatives 044 Insurance agents, immobile agents, agents of exchange and stock agents of the sale of services to companies and auctioneers 045 Venders, commercial employees and similar workers 049 Storekeepers and venders not classified under other categories 050 Directors (services of hotels, bars and similar places) 051 Managers, owners (hotel services, bars and similar places) 052 Heads of servant personnel 053 Cooks, waiters, bartenders, and similar workers 054 Persons of servitude not classified under other categories 055 Building watchmen, laundry personnel and similar workers 056 Launderers, dry cleaners and pressers 057 Hairdressers, specialists in beauty treatments and similar workers 058 Protection and security services personnel 059 Workers in services not classified under other categories 060 Directors and heads of agricultural operations 061 Agricultural operations 062 Agricultural workers 063 Forest workers 064 Fishers, hunters and similar workers 070 Boatswains and major foremen 071 Miners, quarrymen, diggers and similar workers 072 Metalworkers 073 Workers in the treatment of wood and the making of paper 074 Workers of chemical treatments or similar workers 075 Spinners, weavers, dyers and similar workers 076 Workers in the preparation, tanning and treatment of furs 077 Workers in the preparation of food and drinks 078 Tobacco workers 079 Tailors, couturiers, furriers, upholsterers and similar workers 080 Shoemakers and provision makers 081 Cabinet makers, wood cutting machine operators and similar workers 082 Hatchet users and decorators 083 Metal cutting workers 084 Adjustors, fitters and installers of machinery and precision equipment, watchmakers and mechanics (excluding electricians) 085 Electricians, electricianists and similar workers 086 Operators in stations emitting radio and television and teams of sound and film projects 087 Plumbers, solderers, panel beaters, boilermakers and preparers and fitters of metallic structures 088 Jewelers and silversmiths 089 Glass and ceramics workers and similar workers 090 Workers in the making of rubber and plastic products 091 Makers of paper and cardboard products 092 Graphic arts workers 093 Painters 094 Manufacture workers and similar workers not classified under other categories 095 Construction workers 096 Operators of immobile machines and similar installations 097 Workers in the manipulation of merchandise and materials and of the movement of land 098 Drivers of transportation vehicles 099 Workers not classified under other categories 995 Armed forces, members of the armed forces 999 NIU (not in universe) Work: Occupation Variables -- PERSON Occupation, 3 digits <svar v="EC82A419 EC82A420 EC82A421 EC82A422 EC82A423 EC82A424 EC82A425 EC82A426 EC82A427 EC82A428"><span class="em"> For all individuals 12 years of age and older</span><br /></svar></p> <p><svar v="EC82A422 EC82A423 EC82A424 EC82A425 EC82A426 EC82A427 EC82A428"><span class="em">Questions 14 - 16 are only for those who answered 1, 2, or 3 in question 13.</span><br /></svar></p> <p><svar v="EC82A422 EC82A423 EC82A424" a="all">14. What is the occupation that provided the greatest income in the days from November 7th to 13th, or what was your last occupation if unemployed?<br /><div class="i1">Write with some detail the work performed.<br /><br />____ [In addition to the space for the response, a blank, 3-character box also appears in the corner of this item.]</div><br /></svar> <svar v="EC82A419 EC82A420 EC82A421 EC82A422 EC82A423 EC82A424 EC82A425 EC82A426 EC82A427 EC82A428"><span class="em">Questions 12, 13, 14, 15 and 16 on Economic characteristics should be asked of all people 12 and older.</span><br /></svar></p> <p><svar v="EC82A422 EC82A423 EC82A424" a="all"><span class="em">Question 14. </span>What is the occupation that provided you with the greatest income during the days between the 7th and 13th of November or what was your last occupation if you were unemployed?<br /><br />This question, as well as numbers 15 and 16, should only be asked of those people who responded with 0, 1, or 2 to question 13.<br /><br />If the answer that the informant gives is ambiguous or not very clear, ask them to describe in some detail the work that they do and record what they report.<br /><br /><span class="em">[The information below appears in a table in the original document.]</span><br /><br />Incorrect recording: Teacher<br />Correct recording: Primary school teacher, high school teacher, music teacher<br /><br />Incorrect recording: Craftsman<br />Correct recording: Radio technician, carpenter, potter<br /><br />Incorrect recording: Seller<br />Correct recording: Pharmaceutical salesman, department store salesclerk, ticket and fare agent, life insurance salesman<br /><br />Incorrect recording: Laborer, day-laborer or unskilled laborer<br />Correct recording: Unskilled farm worker, stevedore or dock worker, caretaker of vehicles<br /><br />Incorrect recording: Mechanic<br />Correct recording: Auto mechanic, precision mechanic, dental technician<br /><br /><span class="em">[The following is in the rural manual]</span> Don't record manual laborer, unskilled laborer, mechanic, seller. Insist that the information be more precise, for example: construction worker, unskilled farm worker, milker, etc.<br /></svar> Ecuador 1982: Persons age 12+ who worked, or did not work but were employed, or looked for work and had worked before [discrepancies: none] This variable indicates the 3-digit occupation code. 000 NIU (not in universe) 007 Workers who have declared non identifiable occupations or insuficient descriptions 008 Workers who have not declared any occupation 009 Armed forces, members of the armed forces 010 Specialists in sciences, physics, chemists and similar technicians 011 Chemists 013 Specialists in physical chemistry not classified under other categories 014 Technicians in physical and chemical sciences 020 Architects, engineers and similar technicians 021 Architects and urban planners 022 Civil engineers 023 Electricity and electronic engineers 024 Mechanical engineers 025 Chemical engineers 027 Mine engineers 028 Engineers of industrial organization 029 Engineers not classified under other categories 030 Architects, engineers and similar technicians 031 Surveyors 032 Drawers 033 Civil engineering technicians 034 Electricity and electronic technicians 035 Mechanical technicians 036 Technicians in industrial chemistry 037 Metallurgy technicians 038 Mine technicians 039 Industrial technicians not classified under other categories 040 Pilots and deck ship officials and machine working officials (avaiation and maritine) 041 Pilots, navigators and mechanical navigators (aviation) 042 Officials of deck ships and pilots (sea and river navegation) 050 Biologists, agronomists and similar technicians 051 Biologists, zoologists and similar specialists 052 Bacteriologists, pharmacologists and similar specialists 053 Agronomists and similar specialists 054 Technicians in biological and agronomic sciences 060 Doctors, dental surgeons, veterinarians and similar workers 061 Doctors and surgeons 062 Medical assistants 063 Dental surgeons 064 Dental assistants 065 Veterinarians 066 Veterinarians' assistants 067 Pharmacists 068 Pharmacists' assistants 069 Dieticians and nutricionists of public health 070 Doctors, dental surgeons, veterinarians and similar workers 071 Licensed nurses 072 Nursing personnel not classified under other categories 073 Licensed widwives 075 Optomatrists and opticians 076 Physical therapists and ergotherapists 077 Medical radiology technicians 079 Doctors, dental surgeons, veterinarians and similar workers not classiifed under other categories 080 Statisticians, mathematicians, system analysists and similar technicians 083 System analysts 084 Technicians (statisticians and mathematicians) 090 Economists 100 Professionals, technicians and similar workers 110 Accountants 120 Jurists 121 Lawyers 122 Judges 129 Jurists not classified under other categories 130 Professors 131 Professors of universities and other establishments of superior education 132 Professors of secondary education 133 Professors of primary education 134 Professors of preschool education 135 Professors of special education 139 Professors not classified under other categories 140 Members of the clergy and similar workers 141 Priests and members of similar religious orders 149 Lay religious workers 150 Authors, journalists and similar writers 151 Writers and critics 159 Authors, journalists and similar writers not classified under other categories 160 Sculptors, painters, photographers and similar artists 161 Sculptors, painters and similar artists 162 Commercial decorators, drawers and designers 163 Photographers and camera operators of film and television 170 Musicians, artists, businessmen and producers of show business shows 171 Composers, musicians and singers 173 Actor and directors of show business shows 174 Businessmen and producers of show business shows 175 Circus actors 179 Show business artists not classified under other categories 180 Athletes, sportspersons and similar workers 190 Profesional technicians and similar workers not classified under other categories 191 Librarians, archivists and museum curators 192 Sociologists, anthropologists and similar specialists 193 Social assistance workers 194 Specialists in personal and orientation problems and professional analysis 195 Philologists, translators and interpreters 199 Other professionals, technicians and similar workers 200 Members of legislative bodies and directive personnel of public administration 201 Members of legislative bodies 202 Directive personnel of public administration 210 Directors and directive personnel 211 General directors 212 Production directors, excluding agricultural operations 219 Directors and directive personnel not classified under other categories 300 Heads of office employees 310 Adminstrative agents (public administration) 320 Shorthand clerks, typists and operators of card and tape machines 321 Shorthand clerks, typists and teletypists 330 Accounting employees, cashiers and similar workers 331 Accounting aids, accounting employees and cashiers 339 Accounting employees, cashiers and similar workers not classified under other categories 340 Operators of machines for calculations, accounting and statistics 341 Operators of accounting and calculating machines 342 Operators of machines for the automatic treatment of information 350 Heads of transportation services and of communications 359 Heads of transportation services and of communications not classified under other categories 360 Heads of trains, controllers of sleeping coachs and chargers 370 Mailmen and messengers 380 Telephone and telegraph operators 390 Adminstrative personnel and similar workers not classified under other categories 391 Employees of provisioning 392 Employees of material calculation and production planning 393 Employees of adminstrative services 394 Receptionists and employees of travel agencies 395 Employees of libraries and archive services 399 Office employees not classified under other categories 400 Directors (Wholesale and retail commerce) 410 Storekeepers and owners (wholesale and retail commerce) 420 Heads of sales and buyers 421 Heads of sales 422 Buyers 430 Techical agents of sales, commercial travellers and factory representatives 431 Techincal agents and inspectors of sales 432 Commercial travelling salesmen and factory representatives 440 Insurance agents, immobile agents, agents of exchange and stock agents of the sale of services to companies and auctioneers 441 Insurance agents, immobile agents, agents of exchange 442 Agents of services to companies 450 Venders, commercial employees and similar workers 451 Venders, commercial employees and demonstraters 452 Street salesmen, door to door salesmen and newpaper sellers 490 Storekeepers and venders not classified under other categories 500 Directors (hotel services, bars and similar places) 510 Managers, owners (hotel services, bars and similar places) 520 Heads of servitude personnel 530 Cooks, waiters, bartenders, and similar workers 531 Cooks 532 Waiters, bartenders and similar workers 540 Servitude personnel not classified under other categories 550 Building watchmen, laundry personnel and similar workers 551 Building watchmen 552 Laundery personnel and similar workers 560 Launderers, dry cleaners and pressers 570 Hairdressers, specialists in beauty treatments and similar workers 580 Protection and security services personnel 581 Firemen 582 Police 589 Protection and security services personnel not classifeid under other categories 590 Service workers not classified under other categories 591 Guides 599 Other service workers 600 Directors and heads of agricultural operations 610 Agricultural operators 611 Polyvalent agricultural operators 612 Specialized agricultural operators 620 Agricultural workers 621 Workers in polyvalent agricultural farms 622 Agricultural workers, extensive farming 623 Agricultural workers, trees and bushes 624 Agricultural workers, breeding of livestock (except cattle for milk) 625 Agricultural workers, cattle for milk 626 Agricultural workers, poultry farming 627 Agricultural workers, cultivation of gardens 628 Drivers of agricultural machinery 629 Agricultural workers not classified under other categories 630 Forestry workers 631 Lumberjacks and trimmers of trees 632 Forestry workers (excluding lumberjacks and tree trimmers) 640 Fishers, hunters and similar workers 641 Fishers 649 Fishers, hunters and similar workers not classified in other categories 700 Boatswains and major foremen 710 Miners, quarrymen, "sondistas" and similar workers 711 Miners and quarrymen 712 Workers in the treatment of minerals and rocks 713 Diggers and similar workers 720 Metallurgy workers 721 Workers with metallurgy ovens 722 Operators in lamination trains 723 Operators in ovens of second fusion or reheating 724 Strainers of metals in molds 726 Workers in the thermal treatment of metals 728 Galvinizors and coverers of metals 729 Metallurgy workers not classified under other categories 730 Workers in the treatment of wood and the making of paper 731 Workers in the treatment of wood 732 Sawyers, operators of "contra" plated machines and similar workers 733 Preparers of paste for paper 734 Workers in the making of paper 740 Workers of chemical treatments or similar workers 741 Operators of breaking, crushing and mixing machines 742 Operators of thermic instalations for chemical treatments 743 Operators of filtration and separation appliances 744 Operators of distillation and reaction appliances 745 Workers in the refinery of petroleum 749 Workers in chemical treatments and similar workers not classified under other categories 750 Spinners, weavers, dyers and similar workers 751 Preparers of fibers 752 Spinners and winders 753 Ajdusters of looms and preparers of cartons for fabrics 754 Weavers and similar workers 755 Weavers with needles 756 Bleachers, dry cleaners and workers in the finishing of textile products 759 Spinners, weavers, dyers and similar workers not classified under other categories 760 Workers in the preparation, tanning and treatment of furs 761 Tanners and skinners 762 Workers in the preparation of furs and the fur industry 770 Workers in the preparation of food and drinks 771 Millers and similar workers 772 Workers in the making and refining of sugar 773 Slaughtermen and butchers 774 Workers in the conservation of food products 775 Workers in the treatment of milk and the elaboration of dairy products 776 Bakers, pastry cooks and confectioners 777 Workers in the preparation of tea, coffee and coco 778 Brewers and workers in the elaboration of wines and drinks 779 Workers in the preparation of food and drinks not classified under other categories 780 Tobacco workers 781 Preparers of tobacco 782 Cigar makers 783 Workers in the making of cigarettes 789 Tobacco workers not classified under other categories 790 Tailors, couturiers, furriers, upholsterers and similar workers 791 Tailors and couturiers 792 Furriers and similar workers 793 Hat makers 794 Tailors and cutters 795 Sewers and embroiderers 796 Upholsterers and similar workers 799 Tailors, couturiers, furriers, upholsterers and similar workers not classified under other categories 800 Shoemakers and provision makers 801 Shoemakers 802 Footwear workers 803 Leather craftsmen and similar workers 810 Cabinet makers, wood cutting machine operators and similar workers 811 Cabinet makers 812 Operators of wood cutting machines 819 Cabinet makers, wood cutting machine operators and similar workers not classified under other categories 820 Workers and decorators 830 Metal workers 831 Blacksmiths and forgers 832 Mechanic adjusters, specialists in tools and dies, adjusters, modelers and metal tracers 833 Adjusters, operators of tool machines 834 Operators of tool machines 835 Metal polishers and tool sharpeners 839 Metal workers not classified under other categories 840 Adjusters, fitters and installers of machinery and precision instruments, watchmakers and mechanics (excluding electricians) 841 Adjusters, fitters and installers of machinery 842 Watchmakers and mechanics of precision instruments 843 Motor vehicle mechanics 844 Airplane motor mechanics 849 Adjusters, fitters and installers of machinery and precision instruments, watchmakers and mechanics (excluding electricians) and similar workers not classified under other categories 850 Electricians, electricianists and similar workers 851 Electrician adjusters 852 Electricianist adjusters 853 Fitters of electric and electronic appliances 854 Electricianists, repairers of radio and television receptors 855 Electricians (Electrical instillations) 856 Telephone and telegraph installers 857 Installers of electric lines and of telecommunications 859 Electricians, electricianists and similar workers not classified under other categories 860 Operators of stations emitting radio and television and sound teams and film projections 861 Operators of stations emitting radio and television 862 Operators of teams of sound and film projections 863 Undocumented 870 Plumbers, solderers, panel beaters, boilermakers and preparers and fitters of metalic structures 871 Plumbers and pipe installers 872 Solderers and cutters 873 Panel beaters and boilermakers 874 Fitters of metalic structures 880 Jewelers and silversmiths 890 Glass and ceramics workers and similar workers 891 Blowers, fitters, shners, cutters and polishers of glass 892 Ceramic workers and similar workers 893 Glass and ceramic oven workers 894 Glass engravers 895 Painters and decorators of glass and ceramics 899 Glass and ceramics workers and similar workers not classified under other categories 900 Workers in the making of rubber and plastic products 901 Workers in the making of rubber and plastic products (excluding tires) 902 Workings in the making of tires 910 Makers of paper and cardboard products 920 Graphic arts workers 921 Typesetters, typographers and similar workers 922 Operators of printing presses 924 Print recorders (excluding photorecorders) 925 Photorecorders 926 Bookbinders and siimilar workers 927 Workers in photography laboratories 929 Graphic arts workers not classified under other categories 930 Painters 931 Painters of buldings and construction 939 Painters not classified under other categories 940 Workers, manufacturers and similar workers not classifed under similar categories 941 Builders and tuners of musical intruments 942 Basket makers, brush makers and similar workers 943 Workers in the making of products dereived from non metalic minerals 949 Other workers, manufactruers and similar workers 950 Construction workers 951 Stone masons 952 Workers with cement, hangers and terrazo installers 953 Roofers 954 Carpenters and parquet workers 955 Lighters, stairs builders and plasterers 956 Installers of insulation and soundproofing material 957 Window installers 959 Construction workers not classified under other categories 960 Operators of immoblie machines and similar installations 961 Operators of production installations of electric energy 969 Operators of immobile machines and similar installations not classified under other categories 970 Workers in the manipulation of mechandise and of the movement of land 971 Stevedores, cargo loaders and packers 972 Joiners and splitters of cables 973 Operatrors of cranes, and operators of elevation instillations 974 Drivers of machines for the movement of earth and related equipment 979 Workers in the manipulation of merchanidise and materials and the movement of earth not classified under other categories 980 Drivers of transportation vehicles 981 Boatswains on ships, sailors on deck ships and on small ships 982 Sailors in machine rooms 983 Machine operators and firemen on locomotives 984 Heads of merchandise trains, pointsmen and rigging agents 985 Drivers of streetcars and motor vehicles 986 Operators of animals and vehicles powered by animals 989 Drivers of transportation vehicles not classified under other categories 991 Laborers not classified under other categories 998 Unknown Work: Occupation Variables -- PERSON Industry, 1 digit <svar v="EC82A419 EC82A420 EC82A421 EC82A422 EC82A423 EC82A424 EC82A425 EC82A426 EC82A427 EC82A428"><span class="em"> For all individuals 12 years of age and older</span><br /></svar></p> <p><svar v="EC82A422 EC82A423 EC82A424 EC82A425 EC82A426 EC82A427 EC82A428"><span class="em">Questions 14 - 16 are only for those who answered 1, 2, or 3 in question 13.</span><br /></svar></p> <p><svar v="EC82A425 EC82A426 EC82A427" a="all">15. What does the establishment where you engage in the occupation indicated primarily do?<br /><div class="i1">Write for example: Primary education, doctor's office, textile factory, restaurants, livestock ranch, etc.<br /><br />____ [In addition to the space for the response, a blank, 3-character box also appears in the corner of this item.]</div><br /></svar> <svar v="EC82A419 EC82A420 EC82A421 EC82A422 EC82A423 EC82A424 EC82A425 EC82A426 EC82A427 EC82A428"><span class="em">Questions 12, 13, 14, 15 and 16 on Economic characteristics should be asked of all people 12 and older.</span><br /></svar></p> <p><svar v="EC82A425 EC82A426 EC82A427" a="all"><span class="em">Question 15. </span>What does the establishment where you performed the indicated occupation primarily do?<br /><br />If the answer is given in vague or imprecise terms, insist that the informant give you greater details. Don't accept information such as factory or workshop; you should indicate exactly what type of activity is done in the establishment.<br /><br />Examples of how to record:<br /><br /><div class="i1">Primary education<br />Doctor's office<br />Textile factory<br />Carpentry<br />Livestock ranch<br />Restaurant<br />Shoe store<br />Insurance company<br />Automotive mechanics workshop<br />Furniture factory<br />Beauty salon<br />Government ministry<br />Bakery<br />Poultry farm</div><br /></svar> Ecuador 1982: Persons age 12+ who worked, or did not work but were employed, or looked for work and had worked before [discrepancies: none] This variable indicates the 1-digit industry code. 00 Activities not well specified 01 Agriculture, hunting, forestry and fishing industry 02 Mine and quarry operations 03 Industrial manufacturers 04 Electricity, gas and water 05 Construction 06 Wholesale and retail commerce and restaurants and hotels 07 Transportation, storage and communications 08 Financial establishments, insurance, real estate and services loaned to companies 09 Communal, social and personal services 99 NIU (not in universe) Work: Industry Variables -- PERSON Industry, 2 digits <svar v="EC82A419 EC82A420 EC82A421 EC82A422 EC82A423 EC82A424 EC82A425 EC82A426 EC82A427 EC82A428"><span class="em"> For all individuals 12 years of age and older</span><br /></svar></p> <p><svar v="EC82A422 EC82A423 EC82A424 EC82A425 EC82A426 EC82A427 EC82A428"><span class="em">Questions 14 - 16 are only for those who answered 1, 2, or 3 in question 13.</span><br /></svar></p> <p><svar v="EC82A425 EC82A426 EC82A427" a="all">15. What does the establishment where you engage in the occupation indicated primarily do?<br /><div class="i1">Write for example: Primary education, doctor's office, textile factory, restaurants, livestock ranch, etc.<br /><br />____ [In addition to the space for the response, a blank, 3-character box also appears in the corner of this item.]</div><br /></svar> <svar v="EC82A419 EC82A420 EC82A421 EC82A422 EC82A423 EC82A424 EC82A425 EC82A426 EC82A427 EC82A428"><span class="em">Questions 12, 13, 14, 15 and 16 on Economic characteristics should be asked of all people 12 and older.</span><br /></svar></p> <p><svar v="EC82A425 EC82A426 EC82A427" a="all"><span class="em">Question 15. </span>What does the establishment where you performed the indicated occupation primarily do?<br /><br />If the answer is given in vague or imprecise terms, insist that the informant give you greater details. Don't accept information such as factory or workshop; you should indicate exactly what type of activity is done in the establishment.<br /><br />Examples of how to record:<br /><br /><div class="i1">Primary education<br />Doctor's office<br />Textile factory<br />Carpentry<br />Livestock ranch<br />Restaurant<br />Shoe store<br />Insurance company<br />Automotive mechanics workshop<br />Furniture factory<br />Beauty salon<br />Government ministry<br />Bakery<br />Poultry farm</div><br /></svar> Ecuador 1982: Persons age 12+ who worked, or did not work but were employed, or looked for work and had worked before [discrepancies: none] This variable indicates the 2-digit industry code. 00 Activities not well specified 08 Undocumented 11 Agriculture and hunting 12 Forestry and the extraction of lumber 13 Fishing industry 21 Mine and coal operations 22 Production of crude petroleum and natural gas 23 Extraction of metalic minerals 29 Extraction of other minerals 31 Food, drinks and tobacco products 32 Textiles, articles of clothing and leather industries 33 Wood industries and wood products, including furniture 34 Making of paper and paper products, printing presses and publishing houses 35 Making of chemical substances and of chemical products derived from petroleum and from coal and plastics 36 Making of products of non metalic minerals, excluding those derived from petroleum and coal 37 Basic metals industries 38 Making of metalic products, machinery and equipment 39 Other industrial manufacturers 41 Electricity, gas and steam 42 Works, hydraulics and the supply of water 50 Construction 61 Wholesale commerce 62 Retail commerce 63 Restaurants and hotels 71 Transportation and storage 72 Communications 80 Financial establishments, insurance, real estate and services loaned to companies 81 Financial establishments 82 Insurance 83 Real estate and services loaned to companies 90 Communal, social and personal services 91 Public administration and defense 92 Sanitary and similar services 93 Social services and other related communal services 94 Diversion services and recreational services 95 Personal and home services 96 International organizations and other extraterritorial organsims 98 Undocumented 99 NIU (not in universe) Work: Industry Variables -- PERSON Industry <svar v="EC82A419 EC82A420 EC82A421 EC82A422 EC82A423 EC82A424 EC82A425 EC82A426 EC82A427 EC82A428"><span class="em"> For all individuals 12 years of age and older</span><br /></svar></p> <p><svar v="EC82A422 EC82A423 EC82A424 EC82A425 EC82A426 EC82A427 EC82A428"><span class="em">Questions 14 - 16 are only for those who answered 1, 2, or 3 in question 13.</span><br /></svar></p> <p><svar v="EC82A425 EC82A426 EC82A427" a="all">15. What does the establishment where you engage in the occupation indicated primarily do?<br /><div class="i1">Write for example: Primary education, doctor's office, textile factory, restaurants, livestock ranch, etc.<br /><br />____ [In addition to the space for the response, a blank, 3-character box also appears in the corner of this item.]</div><br /></svar> <svar v="EC82A419 EC82A420 EC82A421 EC82A422 EC82A423 EC82A424 EC82A425 EC82A426 EC82A427 EC82A428"><span class="em">Questions 12, 13, 14, 15 and 16 on Economic characteristics should be asked of all people 12 and older.</span><br /></svar></p> <p><svar v="EC82A425 EC82A426 EC82A427" a="all"><span class="em">Question 15. </span>What does the establishment where you performed the indicated occupation primarily do?<br /><br />If the answer is given in vague or imprecise terms, insist that the informant give you greater details. Don't accept information such as factory or workshop; you should indicate exactly what type of activity is done in the establishment.<br /><br />Examples of how to record:<br /><br /><div class="i1">Primary education<br />Doctor's office<br />Textile factory<br />Carpentry<br />Livestock ranch<br />Restaurant<br />Shoe store<br />Insurance company<br />Automotive mechanics workshop<br />Furniture factory<br />Beauty salon<br />Government ministry<br />Bakery<br />Poultry farm</div><br /></svar> Ecuador 1982: Persons age 12+ who worked, or did not work but were employed, or looked for work and had worked before [discrepancies: none] This variable indicates the 3-digit industry code. 000 Activities not well specified 100 Agriculture, hunting, forestry and fishing industry 110 Agriculture and hunting 111 Agricultural and livestock production 112 Agricultural services 113 Ordinary hunting with traps and repopulation of animals 120 Forestry and the extraction of lumber 121 Forestry 122 Extraction of lumber 130 Fishing industry 200 Mine and quarry operations 210 Mine and coal operations 220 Production of crude petroleum and natural gas 230 Extraction of metallic minerals 290 Extraction of other minerals 300 Industrial manufacturers 310 Food, drinks and tobacco products 311 Making of food products 312 Making of food products for animals 313 Drinks industry 314 Tobacco industry 320 Textiles, articles of clothing and leather industries 321 Making of textiles 322 Making of articles of clothing, excluding footwear 323 Industry of leather and leather products and leather and fur substitutes, excluding footwear and other articles of clothing 324 Making of footwear, excluding that of vulcanized rubber, fitted or plastic 330 Wood industries and wood products, including furniture 331 Wood industries and wood and cork products, excluding furniture 332 Making of furniture and accessories excluding those that are principally metallic 340 Making of paper and paper products, printing presses and publishing houses 341 Making of paper and paper products 342 Printing presses and publishing houses 350 Making of chemical substances and of chemical products derived from petroleum and from coal and plastics 351 Making of other chemical industrial substances 352 Making of other chemical products 353 Petroleum refineries 354 Making of diverse products derived from petroleum and coal 355 Making of rubber products 356 Making of plastic products n e c 360 Making of non metallic mineral products excluding those derived from petroleum and coal 361 Fabrication of mud, china and porcelain objects 362 Making of glass and glass products 369 Making of other non metallic mineral products 370 Basic metals industries 371 Basic industries of iron and steel 372 Basic industries of non ferrous metals 380 Making of metallic products, machinery and equipment 381 Making of metallic products excluding machinery and equipment 382 Construction of machinery, excluding electric 383 Construction of machinery, appliances, accessories and electric supplies 384 Construction of transportation material 385 Making of professional equipment and scientific instruments of measure and control n e p and photographic appliances and optical instruments 390 Other manufacturing industries 400 Electricity, gas and water 410 Electricity, gas and steam 420 Works, hydraulics and the supply of water 500 Construction 600 Wholesale and retail commerce and restaurants and hotels 610 Wholesale commerce 620 Retail commerce 630 Restaurants and hotels 631 Restaurants, cafes and other establishments that expend food and drinks 632 Hotels, guest houses, campgrounds and other places of lodging 700 Transportation, storage and communications 710 Transportation and storage 711 Land transportation 712 Transportation by water 713 Air transportation 719 Services related to transportation 720 Communications 800 Financial establishments, insurance, real estate and services loaned to companies 810 Financial establishments 820 Insurance 830 Real estate and services loaned to companies 831 Real estate 832 Services loaned to companies, excluding renting and leasing of machinery and equipment 833 Renting and leasing of machinery and equipment 900 Communal, social and personal services 910 Public administration and defense 920 Sanitary and similar services 930 Social services and other related communal services 931 Public instruction 932 Institutes of research and scientists 933 Medical and dental surgeon services and other services of health and veterinary 934 Social assistance institutes 935 Commercial, professional and labor associations 939 Other social services and connected communal services 940 Entertainment and recreational services 941 Cinematic films and other recreational services 942 Libraries, museums, botanical gardens, zoos and other cultural services n e c 949 Entertainment and recreational services n e p 950 Personal and home services 951 Repairing services n e p 952 Cleaners, cleaning services, cleaning and dyeing establishments 953 Domestic services 959 Diverse personal services 960 International organizations and other extraterritorial organisms 998 Undocumented 999 NIU (under age 12 or never worked) Work: Industry Variables -- PERSON Class of worker <svar v="EC82A419 EC82A420 EC82A421 EC82A422 EC82A423 EC82A424 EC82A425 EC82A426 EC82A427 EC82A428"><span class="em"> For all individuals 12 years of age and older</span><br /></svar></p> <p><svar v="EC82A422 EC82A423 EC82A424 EC82A425 EC82A426 EC82A427 EC82A428"><span class="em">Questions 14 - 16 are only for those who answered 1, 2, or 3 in question 13.</span><br /></svar></p> <p><svar v="EC82A428" a="all">16. What was the category or position in the occupation indicated?<br /><div class="i1">Ask the questions in the order given and upon receiving an answer; mark the appropriate box.<br /><br />[] 1 Owner or active partner?<br />[] 2 Own-account?<br /><br />Worker or salaried employee?<br />[] 3 Public sector<br />[] 4 Private sector<br />[] 5 Unpaid family worker?<br />[] 6 Others<br />[] 9 Unknown</div><br /></svar> <svar v="EC82A419 EC82A420 EC82A421 EC82A422 EC82A423 EC82A424 EC82A425 EC82A426 EC82A427 EC82A428"><span class="em">Questions 12, 13, 14, 15 and 16 on Economic characteristics should be asked of all people 12 and older.</span><br /></svar></p> <p><svar v="EC82A428" a="all"><span class="em">Question 16.</span> What was your category or position in the occupation you indicated?<br /><br />After asking the question, clearly read each of the options in the order that they appear and, upon receiving a response, mark the corresponding box.<br /><br /><span class="pg">[p. 34]</span><br /><br />Mark box 1 when it is an owner or active partner.<br /><br /><span class="em">Owner.</span> Is a person who runs their own company or business, or who practices a profession or trade and who has one or more paid employees. Ex: the owner of a factory.<br /><br /><span class="em">Active partner.</span> Is a person who invests by their work, or through capital and work, in a given company.<br /><br />Mark box 2, own-account, if the person runs their own company or business, or practices a profession or trade on their own, but does not have paid employees. Ex: street vendor [In the rural manual: ex: a farmer who works land on their own property, a spinner, etc.]<br /><br />Mark box 3, public employee or wage-earner, when the person being enumerated is an official, employee, or manual laborer for the National Government, Sectional Government, or Autonomous Sector, who receives remuneration, a salary, a wage or piecework pay(<span class="lang">pago a destajo</span>), under appointment, contract, or a daily wage.<br /><br /><span class="em">[This paragraph as follows in the rural manual:] </span>Mark box 3, public employee or wage-earner, when the person being enumerated is an official, employee, or manual laborer who receives remuneration, a salary, a wage or piecework pay (<span class="lang">pago a destajo</span>), under appointment, contract, or a daily wage from the National Government, e.g., a sheriff ( <span class="lang">Teniente Político</span>), Post Office employee, etc.; Sectional Government such as Municipalities, Provincial Councils, etc; or Autonomous Sector, institutions like the National Development Bank (<span class="lang">Banco de Fomento</span>), etc.<br /><br /><span class="em">Private sector employee or wage earner.</span> Mark box 4 for an official, employee, or manual laborer who works in a private company and receives remuneration, a salary, a wage, commission, tips, piecework pay (<span class="lang">pago a destajo</span>) or payment in kind.<br /><br /><span class="em">Unpaid family worker</span>. Mark box 5 if the person being enumerated performs an unpaid occupation in the company or business of a family member during the majority of the week.<br /></svar> Ecuador 1982: Persons age 12+ who worked, or did not work but were employed, or looked for work and had worked before [discrepancies: none] This variable indicates the class of worker. 0 Occupation not well specified 1 Active owner or partner 2 Own-account 3 Public employee 4 Private employee 5 Family worker 6 Others 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Children ever born <svar v="EC82A429 EC82A430 EC82A431 EC82A432 EC82A433"><span class="em"> Only for women 15 years of age and older</span><br /></svar></p> <p><svar v="EC82A429" a="all">17. How many children born alive have you had?<br /><div class="i1">[] 00 None Skip to question 21</div><br /><div class="i1">____ Number</div><br /><div class="i1">[] 99 Unknown</div><br /></svar> <span class="em">Questions 17, 18, 19 and 20, which refer to fertility and death characteristics, should be asked only of women 15 years of age and older.</span></p> <p><svar v="EC82A429" a="all"><span class="em">Question 17. </span>How many children born alive have you had in all?<br /><br />It is imperative to emphasize the question in the sense that it refers to all children born alive, and does not distinguish between those that may have died and those that are currently alive.<br /><br />Take into account the fact that informants tend to omit those children who died shortly after birth.<br /><br /><span class="em">If the answer to this question is none, continue directly to question no. 21.</span><br /></svar> Ecuador 1982: Females age 15+ [discrepancies: none] This variable indicates the total number of children born alive. 00 None 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 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children currently living <svar v="EC82A429 EC82A430 EC82A431 EC82A432 EC82A433"><span class="em"> Only for women 15 years of age and older</span><br /></svar></p> <p><svar v="EC82A430" a="all">18. Of these children, how many are currently alive?<br /><div class="i1">[] 00 None</div><br /><div class="i1">____ Number</div><br /><div class="i1">[] 99 Unknown</div><br /></svar> <span class="em">Questions 17, 18, 19 and 20, which refer to fertility and death characteristics, should be asked only of women 15 years of age and older.</span></p> <p><svar v="EC82A430" a="all"><span class="em">Question 18. </span>How many of those children are currently alive?<br /><br />In this question you will record the number of live children that the informant currently has, including those who don't live in the household.<br /></svar> Ecuador 1982: Females age 15+ with children ever born [discrepancies: none] This variable indicates the number of children currently alive. 00 None 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 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Month of last live birth <svar v="EC82A429 EC82A430 EC82A431 EC82A432 EC82A433"><span class="em"> Only for women 15 years of age and older</span><br /></svar></p> <p><svar v="EC82A431 EC82A432" a="all">19. What was the date of birth of your last child born alive?<br /><div class="i1">Date: ____ Month<br />19_ _ Year</div><br /></svar> <span class="em">Questions 17, 18, 19 and 20, which refer to fertility and death characteristics, should be asked only of women 15 years of age and older.</span></p> <p><svar v="EC82A431 EC82A432" a="all"><span class="em">Question 19.</span> On what date did you have your last child born alive?<br /><br />Record the month and year in which the last child of the person being interviewed was born. If she doesn't remember the month, record only the year.<br /></svar> Ecuador 1982: Females age 15+ with children ever born [discrepancies: type I: trace; type II none] This variable indicates the month of birth of last child born alive. 00 NIU (not in universe) 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 99 Unknown Fertility and Mortality Variables -- PERSON Year of last live birth <svar v="EC82A429 EC82A430 EC82A431 EC82A432 EC82A433"><span class="em"> Only for women 15 years of age and older</span><br /></svar></p> <p><svar v="EC82A431 EC82A432" a="all">19. What was the date of birth of your last child born alive?<br /><div class="i1">Date: ____ Month<br />19_ _ Year</div><br /></svar> <span class="em">Questions 17, 18, 19 and 20, which refer to fertility and death characteristics, should be asked only of women 15 years of age and older.</span></p> <p><svar v="EC82A431 EC82A432" a="all"><span class="em">Question 19.</span> On what date did you have your last child born alive?<br /><br />Record the month and year in which the last child of the person being interviewed was born. If she doesn't remember the month, record only the year.<br /></svar> Ecuador 1982: Females age 15+ with children ever born [discrepancies: type I trace; type II none] This variable indicates the year of birth of last child born alive. 01 1901 02 1902 03 1903 05 1905 06 1906 07 1907 08 1908 09 1909 10 1910 11 1911 12 1912 13 1913 14 1914 15 1915 16 1916 17 1917 18 1918 19 1919 20 1920 21 1921 22 1922 23 1923 24 1924 25 1925 26 1926 27 1927 28 1928 29 1929 30 1930 31 1931 32 1932 33 1933 34 1934 35 1935 36 1936 37 1937 38 1938 39 1939 40 1940 41 1941 42 1942 43 1943 44 1944 45 1945 46 1946 47 1947 48 1948 49 1949 50 1950 51 1951 52 1952 53 1953 54 1954 55 1955 56 1956 57 1957 58 1958 59 1959 60 1960 61 1961 62 1962 63 1963 64 1964 65 1965 66 1966 67 1967 68 1968 69 1969 70 1970 71 1971 72 1972 73 1973 74 1974 75 1975 76 1976 77 1977 78 1978 79 1979 80 1980 81 1981 82 1982 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Last child born currently alive <svar v="EC82A429 EC82A430 EC82A431 EC82A432 EC82A433"><span class="em"> Only for women 15 years of age and older</span><br /></svar></p> <p><svar v="EC82A433" a="all">20. Is your last child currently alive?<br /><div class="i1">[] 1 Yes<br />[] 2 No<br />[] 9 Unknown</div><br /></svar> <span class="em">Questions 17, 18, 19 and 20, which refer to fertility and death characteristics, should be asked only of women 15 years of age and older.</span></p> <p><svar v="EC82A433" a="all"><span class="em">Question 20.</span> Is your last child alive?<br /><br />Indicate the appropriate box, according to the response that the informant gives.<br /></svar> Ecuador 1982: Females age 15+ with children ever born [discrepancies: type I trace; type II none] This variable indicates if the last child born is currently alive. 1 Yes alive 2 Not alive 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Marital status <svar v="EC82A434" a="all"><span class="h2">E. Marital Status</span><br /><br /><span class="em"> For all individuals 12 years of age and older</span><br /><br />21. Are you in a consensual union, single, married, divorced, widowed, or separated?<br /><div class="i1">[] 1 Consensual union<br />[] 2 Single<br />[] 3 Married<br />[] 4 Divorced<br />[] 5 Widowed<br />[] 6 Separated<br />[] 9 Unknown</div><br /></svar> <span class="h2">E. Marital or conjugal status</span></p> <p><span class="em">This question is for men and women 12 years of age and older.</span></p> <p><span class="em">Question 21.</span> Are you in a consensual union, single, married, divorced, widowed or separated?</p> <p>Read the question as it is written. Mark the box corresponding to the answer given. Ecuador 1982: Persons age 12+ [discrepancies: none] This variable indicates the marital status of individual. 0 NIU (not in universe) 1 Consensual union 2 Single 3 Married 4 Divorced 5 Widowed 6 Separated 9 Unknown Demographic Variables -- PERSON