The 2002 Census of Population and Dwellings DDI_CUB_2002_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. The 2002 Census of Population and Dwellings - IPUMS Subset PHC cu2002a (IPUMS Harmonized Subset) CUB_2002_PHC_v01_M_v7.6_A_IPUMS National Office of Statistics of the Republic of Cuba IPUMS (c) Copyright 2002, National Office of Statistics of the Republic of Cuba and Minnesota Population Center National Office of Statistics of the Republic of Cuba Population and Housing Census [hh/popcen] IPUMS International DOI:10.18128/D020.V7.6 Version 7.6. The datasets contain selected variables from the original microdata plus harmonized variables from the IPUMS-International database. Demographic Variables -- PERSON Dwelling Characteristics Variables -- HOUSEHOLD Geography: Global Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Technical Household Variables -- HOUSEHOLD Disability Variables -- PERSON Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Utilities Variables -- HOUSEHOLD Work Variables -- PERSON Geography: A-E Variables -- HOUSEHOLD Migration: Global Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Migration: A-E Variables -- PERSON Technical Person Variables -- PERSON Ethnicity and Language Variables -- PERSON Dwelling Characteristics Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Geography: A-E Variables -- HOUSEHOLD Demographic Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Ethnicity and Language 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 September 6, 2002 September 7 to September 16, 2002 Cuba Province Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: Yes - Households: yes - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: A structure occupied by one or more households or a group of generally unrelated persons living collectively for reasons of simple cohabitation, work, etc. - Households: Groups of persons living like a family: sharing a budget and living space, whether or not they are related. - Group quarters: Collective dwellings include group living arrangements in which people reside permanently. They include homes for the elderly, orphanages, asylums, hotels and the like, if persons live in them permanently. All residents of the national territory, including Juventud Island, excluding the Guantanamo naval base. Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Cuba 2002 MICRODATA SOURCE: National Office of Statistics of the Republic of Cuba SAMPLE SIZE (person records): 1118767. SAMPLE DESIGN: Systematic sample of every 10th household with a random start Face-to-face [f2f] A single form with sections on houesholds and persons de jure, CENSUS DAY: September 6, 2002 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. National Office of Statistics of the Republic of Cuba 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: Cuba, National Office of Statistics of the Republic of Cuba. The 2002 Census of Population and Dwellings 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 cu2002a, 2025 CUB2002_PHC-H-H.dat Household records 371,878 ascii Minnesota Population Center Version 7.5, IPUMS sample CUB2002_PHC-P-H.dat Person records 1118767 ascii Minnesota Population Center Version 7.5, IPUMS sample Record type RECTYPE identifies the type of record for the case: household or person. NOTE: RECTYPE is an alphabetic (character string) variable with a value of 'H' for household records and 'P' for person records. RECTYPE will not appear as a variable in the default rectangular extracts produced by the data extract system. It is only available in hierarchical extracts, to distinguish between the two record types. H Household P Person Technical Household Variables -- HOUSEHOLD Country COUNTRY gives the country from which the sample was drawn. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization). 032 Argentina 051 Armenia 040 Austria 050 Bangladesh 112 Belarus 204 Benin 068 Bolivia 072 Botswana 076 Brazil 854 Burkina Faso 116 Cambodia 120 Cameroon 124 Canada 152 Chile 156 China 170 Colombia 188 Costa Rica 192 Cuba 208 Denmark 214 Dominican Republic 218 Ecuador 818 Egypt 222 El Salvador 231 Ethiopia 242 Fiji 246 Finland 250 France 276 Germany 288 Ghana 300 Greece 320 Guatemala 324 Guinea 332 Haiti 340 Honduras 348 Hungary 352 Iceland 356 India 360 Indonesia 364 Iran 368 Iraq 372 Ireland 376 Israel 380 Italy 384 Côte d'Ivoire 388 Jamaica 400 Jordan 404 Kenya 417 Kyrgyz Republic 418 Laos 426 Lesotho 430 Liberia 454 Malawi 458 Malaysia 466 Mali 480 Mauritius 484 Mexico 496 Mongolia 504 Morocco 508 Mozambique 104 Myanmar 524 Nepal 528 Netherlands 558 Nicaragua 566 Nigeria 578 Norway 586 Pakistan 275 Palestine 591 Panama 598 Papua New Guinea 600 Paraguay 604 Peru 608 Philippines 616 Poland 620 Portugal 630 Puerto Rico 642 Romania 643 Russia 646 Rwanda 662 Saint Lucia 686 Senegal 694 Sierra Leone 703 Slovak Republic 705 Slovenia 710 South Africa 728 South Sudan 724 Spain 729 Sudan 740 Suriname 752 Sweden 756 Switzerland 834 Tanzania 764 Thailand 768 Togo 780 Trinidad and Tobago 792 Turkey 800 Uganda 804 Ukraine 826 United Kingdom 840 United States 858 Uruguay 862 Venezuela 704 Vietnam 894 Zambia 716 Zimbabwe Technical Household Variables -- HOUSEHOLD Year YEAR gives the year in which the census or survey was taken. For samples that span years, the midpoint or first year of the interval is reported. 1703 1703 1729 1729 1787 1787 1801 1801 1819 1819 1845 1845 1848 1848 1850 1850 1851 1851 1852 1852 1860 1860 1861 1861 1865 1865 1868 1868 1870 1870 1871 1871 1875 1875 1880 1880 1881 1881 1885 1885 1890 1890 1891 1891 1900 1900 1901 1901 1910 1910 1911 1911 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1966 1966 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 Technical Household Variables -- HOUSEHOLD IPUMS sample identifier SAMPLE identifies the IPUMS sample from which the case is drawn. Each sample receives a unique 9-digit code. The code is structured as follows: The first 3 digits are the ISO/UN codes used in COUNTRY The next 4 digits are the year of the census/survey The final 2 digits identify the sample within the year. For the last two digits, censuses or large census-like surveys have a value "0" (e.g, 01) in the second-to-last digit, household surveys have a value of "2" (e.g., 21), and employment surveys have a value of "4" (e.g., 41). 032197001 Argentina 1970 032198001 Argentina 1980 032199101 Argentina 1991 032200101 Argentina 2001 032201001 Argentina 2010 051200101 Armenia 2001 051201101 Armenia 2011 040197101 Austria 1971 040198101 Austria 1981 040199101 Austria 1991 040200101 Austria 2001 040201101 Austria 2011 050199101 Bangladesh 1991 050200101 Bangladesh 2001 050201101 Bangladesh 2011 112199901 Belarus 1999 112200901 Belarus 2009 204197901 Benin 1979 204199201 Benin 1992 204200201 Benin 2002 204201301 Benin 2013 068197601 Bolivia 1976 068199201 Bolivia 1992 068200101 Bolivia 2001 068201201 Bolivia 2012 072198101 Botswana 1981 072199101 Botswana 1991 072200101 Botswana 2001 072201101 Botswana 2011 076196001 Brazil 1960 076197001 Brazil 1970 076198001 Brazil 1980 076199101 Brazil 1991 076200001 Brazil 2000 076201001 Brazil 2010 854198501 Burkina Faso 1985 854199601 Burkina Faso 1996 854200601 Burkina Faso 2006 116199801 Cambodia 1998 116200401 Cambodia 2004 116200801 Cambodia 2008 116201301 Cambodia 2013 116201901 Cambodia 2019 120197601 Cameroon 1976 120198701 Cameroon 1987 120200501 Cameroon 2005 124185201 Canada 1852 124187101 Canada 1871 124188101 Canada 1881 124189101 Canada 1891 124190101 Canada 1901 124191101 Canada 1911 124197101 Canada 1971 124198101 Canada 1981 124199101 Canada 1991 124200101 Canada 2001 124201101 Canada 2011 152196001 Chile 1960 152197001 Chile 1970 152198201 Chile 1982 152199201 Chile 1992 152200201 Chile 2002 152201701 Chile 2017 156198201 China 1982 156199001 China 1990 156200001 China 2000 170196401 Colombia 1964 170197301 Colombia 1973 170198501 Colombia 1985 170199301 Colombia 1993 170200501 Colombia 2005 188196301 Costa Rica 1963 188197301 Costa Rica 1973 188198401 Costa Rica 1984 188200001 Costa Rica 2000 188201101 Costa Rica 2011 192200201 Cuba 2002 192201201 Cuba 2012 208178701 Denmark 1787 208180101 Denmark 1801 208184501 Denmark 1845 208188001 Denmark 1880 208188501 Denmark 1885 214196001 Dominican Republic 1960 214197001 Dominican Republic 1970 214198101 Dominican Republic 1981 214200201 Dominican Republic 2002 214201001 Dominican Republic 2010 218196201 Ecuador 1962 218197401 Ecuador 1974 218198201 Ecuador 1982 218199001 Ecuador 1990 218200101 Ecuador 2001 218201001 Ecuador 2010 818184801 Egypt 1848 818186801 Egypt 1868 818198601 Egypt 1986 818199601 Egypt 1996 818200601 Egypt 2006 222199201 El Salvador 1992 222200701 El Salvador 2007 231198401 Ethiopia 1984 231199401 Ethiopia 1994 231200701 Ethiopia 2007 242196601 Fiji 1966 242197601 Fiji 1976 242198601 Fiji 1986 242199601 Fiji 1996 242200701 Fiji 2007 242201401 Fiji 2014 246201001 Finland 2010 250196201 France 1962 250196801 France 1968 250197501 France 1975 250198201 France 1982 250199001 France 1990 250199901 France 1999 250200601 France 2006 250201101 France 2011 276181901 Germany 1819 (Mecklenburg) 276197001 Germany 1970 (West) 276197101 Germany 1971 (East) 276198101 Germany 1981 (East) 276198701 Germany 1987 (West) 288198401 Ghana 1984 288200001 Ghana 2000 288201001 Ghana 2010 300197101 Greece 1971 300198101 Greece 1981 300199101 Greece 1991 300200101 Greece 2001 300201101 Greece 2011 320196401 Guatemala 1964 320197301 Guatemala 1973 320198101 Guatemala 1981 320199401 Guatemala 1994 320200201 Guatemala 2002 324198301 Guinea 1983 324199601 Guinea 1996 324201401 Guinea 2014 332197101 Haiti 1971 332198201 Haiti 1982 332200301 Haiti 2003 340196101 Honduras 1961 340197401 Honduras 1974 340198801 Honduras 1988 340200101 Honduras 2001 340201301 Honduras 2013 348197001 Hungary 1970 348198001 Hungary 1980 348199001 Hungary 1990 348200101 Hungary 2001 348201101 Hungary 2011 352170301 Iceland 1703 352172901 Iceland 1729 352180101 Iceland 1801 352190101 Iceland 1901 352191001 Iceland 1910 356198341 India 1983 356198741 India 1987 356199341 India 1993 356199941 India 1999 356200441 India 2004 356200941 India 2009 360197101 Indonesia 1971 360197601 Indonesia 1976 360198001 Indonesia 1980 360198501 Indonesia 1985 360199001 Indonesia 1990 360199501 Indonesia 1995 360200001 Indonesia 2000 360200501 Indonesia 2005 360201001 Indonesia 2010 364200601 Iran 2006 364201101 Iran 2011 368199701 Iraq 1997 372190101 Ireland 1901 372191101 Ireland 1911 372197101 Ireland 1971 372197901 Ireland 1979 372198101 Ireland 1981 372198601 Ireland 1986 372199101 Ireland 1991 372199601 Ireland 1996 372200201 Ireland 2002 372200601 Ireland 2006 372201101 Ireland 2011 372201601 Ireland 2016 376197201 Israel 1972 376198301 Israel 1983 376199501 Israel 1995 376200801 Israel 2008 380200101 Italy 2001 380201101 Italy 2011 380201121 Italy 2011 Q1 LFS 380201221 Italy 2012 Q1 LFS 380201321 Italy 2013 Q1 LFS 380201421 Italy 2014 Q1 LFS 380201521 Italy 2015 Q1 LFS 380201621 Italy 2016 Q1 LFS 380201721 Italy 2017 Q1 LFS 380201821 Italy 2018 Q1 LFS 380201921 Italy 2019 Q1 LFS 380202021 Italy 2020 Q1 LFS 384198801 Côte d'Ivoire 1988 384199801 Côte d'Ivoire 1998 388198201 Jamaica 1982 388199101 Jamaica 1991 388200101 Jamaica 2001 400200401 Jordan 2004 404196901 Kenya 1969 404197901 Kenya 1979 404198901 Kenya 1989 404199901 Kenya 1999 404200901 Kenya 2009 404201901 Kenya 2019 417199901 Kyrgyz Republic 1999 417200901 Kyrgyz Republic 2009 418199501 Laos 1995 418200501 Laos 2005 418201501 Laos 2015 426199601 Lesotho 1996 426200601 Lesotho 2006 430197401 Liberia 1974 430200801 Liberia 2008 454198701 Malawi 1987 454199801 Malawi 1998 454200801 Malawi 2008 454201801 Malawi 2018 458197001 Malaysia 1970 458198001 Malaysia 1980 458199101 Malaysia 1991 458200001 Malaysia 2000 466198701 Mali 1987 466199801 Mali 1998 466200901 Mali 2009 480199001 Mauritius 1990 480200001 Mauritius 2000 480201101 Mauritius 2011 484196001 Mexico 1960 484197001 Mexico 1970 484199001 Mexico 1990 484199501 Mexico 1995 484200001 Mexico 2000 484200501 Mexico 2005 484201001 Mexico 2010 484201501 Mexico 2015 484202001 Mexico 2020 484200521 Mexico 2005 Q1 LFS 484200522 Mexico 2005 Q2 LFS 484200523 Mexico 2005 Q3 LFS 484200524 Mexico 2005 Q4 LFS 484200621 Mexico 2006 Q1 LFS 484200622 Mexico 2006 Q2 LFS 484200623 Mexico 2006 Q3 LFS 484200624 Mexico 2006 Q4 LFS 484200721 Mexico 2007 Q1 LFS 484200722 Mexico 2007 Q2 LFS 484200723 Mexico 2007 Q3 LFS 484200724 Mexico 2007 Q4 LFS 484200821 Mexico 2008 Q1 LFS 484200822 Mexico 2008 Q2 LFS 484200823 Mexico 2008 Q3 LFS 484200824 Mexico 2008 Q4 LFS 484200921 Mexico 2009 Q1 LFS 484200922 Mexico 2009 Q2 LFS 484200923 Mexico 2009 Q3 LFS 484200924 Mexico 2009 Q4 LFS 484201021 Mexico 2010 Q1 LFS 484201022 Mexico 2010 Q2 LFS 484201023 Mexico 2010 Q3 LFS 484201024 Mexico 2010 Q4 LFS 484201121 Mexico 2011 Q1 LFS 484201122 Mexico 2011 Q2 LFS 484201123 Mexico 2011 Q3 LFS 484201124 Mexico 2011 Q4 LFS 484201221 Mexico 2012 Q1 LFS 484201222 Mexico 2012 Q2 LFS 484201223 Mexico 2012 Q3 LFS 484201224 Mexico 2012 Q4 LFS 484201321 Mexico 2013 Q1 LFS 484201322 Mexico 2013 Q2 LFS 484201323 Mexico 2013 Q3 LFS 484201324 Mexico 2013 Q4 LFS 484201421 Mexico 2014 Q1 LFS 484201422 Mexico 2014 Q2 LFS 484201423 Mexico 2014 Q3 LFS 484201424 Mexico 2014 Q4 LFS 484201521 Mexico 2015 Q1 LFS 484201522 Mexico 2015 Q2 LFS 484201523 Mexico 2015 Q3 LFS 484201524 Mexico 2015 Q4 LFS 484201621 Mexico 2016 Q1 LFS 484201622 Mexico 2016 Q2 LFS 484201623 Mexico 2016 Q3 LFS 484201624 Mexico 2016 Q4 LFS 484201721 Mexico 2017 Q1 LFS 484201722 Mexico 2017 Q2 LFS 484201723 Mexico 2017 Q3 LFS 484201724 Mexico 2017 Q4 LFS 484201821 Mexico 2018 Q1 LFS 484201822 Mexico 2018 Q2 LFS 484201823 Mexico 2018 Q3 LFS 484201824 Mexico 2018 Q4 LFS 484201921 Mexico 2019 Q1 LFS 484201922 Mexico 2019 Q2 LFS 484201923 Mexico 2019 Q3 LFS 484201924 Mexico 2019 Q4 LFS 484202021 Mexico 2020 Q1 LFS 484202023 Mexico 2020 Q3 LFS 496198901 Mongolia 1989 496200001 Mongolia 2000 496201001 Mongolia 2010 496202001 Mongolia 2020 504198201 Morocco 1982 504199401 Morocco 1994 504200401 Morocco 2004 504201401 Morocco 2014 508199701 Mozambique 1997 508200701 Mozambique 2007 508201701 Mozambique 2017 104201401 Myanmar 2014 524200101 Nepal 2001 524201101 Nepal 2011 528196001 Netherlands 1960 528197101 Netherlands 1971 528200101 Netherlands 2001 528201101 Netherlands 2011 558197101 Nicaragua 1971 558199501 Nicaragua 1995 558200501 Nicaragua 2005 566200621 Nigeria 2006 566200721 Nigeria 2007 566200821 Nigeria 2008 566200921 Nigeria 2009 566201021 Nigeria 2010 578180101 Norway 1801 578186501 Norway 1865 578187501 Norway 1875 578190001 Norway 1900 578191001 Norway 1910 586197301 Pakistan 1973 586198101 Pakistan 1981 586199801 Pakistan 1998 275199701 Palestine 1997 275200701 Palestine 2007 275201701 Palestine 2017 591196001 Panama 1960 591197001 Panama 1970 591198001 Panama 1980 591199001 Panama 1990 591200001 Panama 2000 591201001 Panama 2010 598198001 Papua New Guinea 1980 598199001 Papua New Guinea 1990 598200001 Papua New Guinea 2000 600196201 Paraguay 1962 600197201 Paraguay 1972 600198201 Paraguay 1982 600199201 Paraguay 1992 600200201 Paraguay 2002 604199301 Peru 1993 604200701 Peru 2007 604201701 Peru 2017 608199721 Philippines 1997 Q1 LFS 608199722 Philippines 1997 Q2 LFS 608199723 Philippines 1997 Q3 LFS 608199724 Philippines 1997 Q4 LFS 608199821 Philippines 1998 Q1 LFS 608199822 Philippines 1998 Q2 LFS 608199823 Philippines 1998 Q3 LFS 608199824 Philippines 1998 Q4 LFS 608199921 Philippines 1999 Q1 LFS 608199922 Philippines 1999 Q2 LFS 608199923 Philippines 1999 Q3 LFS 608199924 Philippines 1999 Q4 LFS 608200021 Philippines 2000 Q1 LFS 608200022 Philippines 2000 Q2 LFS 608200023 Philippines 2000 Q3 LFS 608200024 Philippines 2000 Q4 LFS 608200121 Philippines 2001 Q1 LFS 608200122 Philippines 2001 Q2 LFS 608200123 Philippines 2001 Q3 LFS 608200124 Philippines 2001 Q4 LFS 608200221 Philippines 2002 Q1 LFS 608200222 Philippines 2002 Q2 LFS 608200223 Philippines 2002 Q3 LFS 608200224 Philippines 2002 Q4 LFS 608200321 Philippines 2003 Q1 LFS 608200322 Philippines 2003 Q2 LFS 608200323 Philippines 2003 Q3 LFS 608200324 Philippines 2003 Q4 LFS 608200421 Philippines 2004 Q1 LFS 608200422 Philippines 2004 Q2 LFS 608200423 Philippines 2004 Q3 LFS 608200424 Philippines 2004 Q4 LFS 608200521 Philippines 2005 Q1 LFS 608200522 Philippines 2005 Q2 LFS 608200523 Philippines 2005 Q3 LFS 608200524 Philippines 2005 Q4 LFS 608200621 Philippines 2006 Q1 LFS 608200622 Philippines 2006 Q2 LFS 608200623 Philippines 2006 Q3 LFS 608200624 Philippines 2006 Q4 LFS 608200721 Philippines 2007 Q1 LFS 608200722 Philippines 2007 Q2 LFS 608200723 Philippines 2007 Q3 LFS 608200724 Philippines 2007 Q4 LFS 608200821 Philippines 2008 Q1 LFS 608200822 Philippines 2008 Q2 LFS 608200823 Philippines 2008 Q3 LFS 608200824 Philippines 2008 Q4 LFS 608200921 Philippines 2009 Q1 LFS 608200922 Philippines 2009 Q2 LFS 608200923 Philippines 2009 Q3 LFS 608200924 Philippines 2009 Q4 LFS 608201021 Philippines 2010 Q1 LFS 608201022 Philippines 2010 Q2 LFS 608201023 Philippines 2010 Q3 LFS 608201024 Philippines 2010 Q4 LFS 608201121 Philippines 2011 Q1 LFS 608201122 Philippines 2011 Q2 LFS 608201123 Philippines 2011 Q3 LFS 608201124 Philippines 2011 Q4 LFS 608201221 Philippines 2012 Q1 LFS 608201222 Philippines 2012 Q2 LFS 608201223 Philippines 2012 Q3 LFS 608201224 Philippines 2012 Q4 LFS 608201321 Philippines 2013 Q1 LFS 608201322 Philippines 2013 Q2 LFS 608201323 Philippines 2013 Q3 LFS 608201324 Philippines 2013 Q4 LFS 608201421 Philippines 2014 Q1 LFS 608201422 Philippines 2014 Q2 LFS 608201423 Philippines 2014 Q3 LFS 608201424 Philippines 2014 Q4 LFS 608201521 Philippines 2015 Q1 LFS 608201522 Philippines 2015 Q2 LFS 608201523 Philippines 2015 Q3 LFS 608201524 Philippines 2015 Q4 LFS 608201621 Philippines 2016 Q1 LFS 608201622 Philippines 2016 Q2 LFS 608201623 Philippines 2016 Q3 LFS 608201624 Philippines 2016 Q4 LFS 608201721 Philippines 2017 Q1 LFS 608201722 Philippines 2017 Q2 LFS 608201723 Philippines 2017 Q3 LFS 608201724 Philippines 2017 Q4 LFS 608201821 Philippines 2018 Q1 LFS 608201822 Philippines 2018 Q2 LFS 608201823 Philippines 2018 Q3 LFS 608201824 Philippines 2018 Q4 LFS 608201921 Philippines 2019 Q1 LFS 608201922 Philippines 2019 Q2 LFS 608201923 Philippines 2019 Q3 LFS 608199001 Philippines 1990 608199501 Philippines 1995 608200001 Philippines 2000 608201001 Philippines 2010 616197801 Poland 1978 616198801 Poland 1988 616200201 Poland 2002 616201101 Poland 2011 620198101 Portugal 1981 620199101 Portugal 1991 620200101 Portugal 2001 620201101 Portugal 2011 630197001 Puerto Rico 1970 630198001 Puerto Rico 1980 630199001 Puerto Rico 1990 630200001 Puerto Rico 2000 630200501 Puerto Rico 2005 630201001 Puerto Rico 2010 630201501 Puerto Rico 2015 630202001 Puerto Rico 2020 642197701 Romania 1977 642199201 Romania 1992 642200201 Romania 2002 642201101 Romania 2011 643200201 Russia 2002 643201001 Russia 2010 646199101 Rwanda 1991 646200201 Rwanda 2002 646201201 Rwanda 2012 662198001 Saint Lucia 1980 662199101 Saint Lucia 1991 686198801 Senegal 1988 686200201 Senegal 2002 686201301 Senegal 2013 694200401 Sierra Leone 2004 694201501 Sierra Leone 2015 703199101 Slovak Republic 1991 703200101 Slovak Republic 2001 703201101 Slovak Republic 2011 705200201 Slovenia 2002 710199601 South Africa 1996 710200101 South Africa 2001 710200701 South Africa 2007 710201101 South Africa 2011 710201601 South Africa 2016 728200801 South Sudan 2008 724198101 Spain 1981 724199101 Spain 1991 724200101 Spain 2001 724201101 Spain 2011 724200521 Spain 2005 Q1 LFS 724200522 Spain 2005 Q2 LFS 724200523 Spain 2005 Q3 LFS 724200524 Spain 2005 Q4 LFS 724200621 Spain 2006 Q1 LFS 724200622 Spain 2006 Q2 LFS 724200623 Spain 2006 Q3 LFS 724200624 Spain 2006 Q4 LFS 724200721 Spain 2007 Q1 LFS 724200722 Spain 2007 Q2 LFS 724200723 Spain 2007 Q3 LFS 724200724 Spain 2007 Q4 LFS 724200821 Spain 2008 Q1 LFS 724200822 Spain 2008 Q2 LFS 724200823 Spain 2008 Q3 LFS 724200824 Spain 2008 Q4 LFS 724200921 Spain 2009 Q1 LFS 724200922 Spain 2009 Q2 LFS 724200923 Spain 2009 Q3 LFS 724200924 Spain 2009 Q4 LFS 724201021 Spain 2010 Q1 LFS 724201022 Spain 2010 Q2 LFS 724201023 Spain 2010 Q3 LFS 724201024 Spain 2010 Q4 LFS 724201121 Spain 2011 Q1 LFS 724201122 Spain 2011 Q2 LFS 724201123 Spain 2011 Q3 LFS 724201124 Spain 2011 Q4 LFS 724201221 Spain 2012 Q1 LFS 724201222 Spain 2012 Q2 LFS 724201223 Spain 2012 Q3 LFS 724201224 Spain 2012 Q4 LFS 724201321 Spain 2013 Q1 LFS 724201322 Spain 2013 Q2 LFS 724201323 Spain 2013 Q3 LFS 724201324 Spain 2013 Q4 LFS 724201421 Spain 2014 Q1 LFS 724201422 Spain 2014 Q2 LFS 724201423 Spain 2014 Q3 LFS 724201424 Spain 2014 Q4 LFS 724201521 Spain 2015 Q1 LFS 724201522 Spain 2015 Q2 LFS 724201523 Spain 2015 Q3 LFS 724201524 Spain 2015 Q4 LFS 724201621 Spain 2016 Q1 LFS 724201622 Spain 2016 Q2 LFS 724201623 Spain 2016 Q3 LFS 724201624 Spain 2016 Q4 LFS 724201721 Spain 2017 Q1 LFS 724201722 Spain 2017 Q2 LFS 724201723 Spain 2017 Q3 LFS 724201724 Spain 2017 Q4 LFS 724201821 Spain 2018 Q1 LFS 724201822 Spain 2018 Q2 LFS 724201823 Spain 2018 Q3 LFS 724201824 Spain 2018 Q4 LFS 724201921 Spain 2019 Q1 LFS 724201922 Spain 2019 Q2 LFS 724201923 Spain 2019 Q3 LFS 724201924 Spain 2019 Q4 LFS 724202021 Spain 2020 Q1 LFS 724202022 Spain 2020 Q2 LFS 724202023 Spain 2020 Q3 LFS 724202024 Spain 2020 Q4 LFS 729200801 Sudan 2008 740200401 Suriname 2004 740201201 Suriname 2012 752188001 Sweden 1880 752189001 Sweden 1890 752190001 Sweden 1900 752191001 Sweden 1910 756197001 Switzerland 1970 756198001 Switzerland 1980 756199001 Switzerland 1990 756200001 Switzerland 2000 756201101 Switzerland 2011 834198801 Tanzania 1988 834200201 Tanzania 2002 834201201 Tanzania 2012 764197001 Thailand 1970 764198001 Thailand 1980 764199001 Thailand 1990 764200001 Thailand 2000 768196001 Togo 1960 768197001 Togo 1970 768201001 Togo 2010 780197001 Trinidad and Tobago 1970 780198001 Trinidad and Tobago 1980 780199001 Trinidad and Tobago 1990 780200001 Trinidad and Tobago 2000 780201101 Trinidad and Tobago 2011 792198501 Turkey 1985 792199001 Turkey 1990 792200001 Turkey 2000 800199101 Uganda 1991 800200201 Uganda 2002 800201401 Uganda 2014 804200101 Ukraine 2001 826185101 United Kingdom 1851 (England and Wales) 826185102 United Kingdom 1851 (Scotland) 826185103 United Kingdom 1851 (2% sample) 826186101 United Kingdom 1861 (England and Wales) 826186102 United Kingdom 1861 (Scotland) 826187101 United Kingdom 1871 (Scotland) 826188101 United Kingdom 1881 (England and Wales) 826188102 United Kingdom 1881 (Scotland) 826189101 United Kingdom 1891 (England and Wales) 826189102 United Kingdom 1891 (Scotland) 826190101 United Kingdom 1901 (England and Wales) 826190102 United Kingdom 1901 (Scotland) 826191101 United Kingdom 1911 (England and Wales) 826196101 United Kingdom 1961 826197101 United Kingdom 1971 826199101 United Kingdom 1991 826200101 United Kingdom 2001 840185001 United States 1850 (100%) 840185002 United States 1850 (1%) 840186001 United States 1860 (1%) 840187001 United States 1870 (1%) 840188001 United States 1880 (100%) 840188002 United States 1880 (10%) 840190001 United States 1900 (5%) 840191001 United States 1910 (1%) 840196001 United States 1960 840197001 United States 1970 840198001 United States 1980 840199001 United States 1990 840200001 United States 2000 840200501 United States 2005 840201001 United States 2010 840201501 United States 2015 840202001 United States 2020 858196301 Uruguay 1963 858196302 Uruguay 1963 (full count) 858197501 Uruguay 1975 858197502 Uruguay 1975 (full count) 858198501 Uruguay 1985 858198502 Uruguay 1985 (full count) 858199601 Uruguay 1996 858199602 Uruguay 1996 (full count) 858200621 Uruguay 2006 858201101 Uruguay 2011 858201102 Uruguay 2011 (full count) 862197101 Venezuela 1971 862198101 Venezuela 1981 862199001 Venezuela 1990 862200101 Venezuela 2001 704198901 Vietnam 1989 704199901 Vietnam 1999 704200901 Vietnam 2009 704201901 Vietnam 2019 894199001 Zambia 1990 894200001 Zambia 2000 894201001 Zambia 2010 716201201 Zimbabwe 2012 Technical Household Variables -- HOUSEHOLD Household serial number SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database. SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred: Chile 1970, 1992, 2002Colombia 1993, 2005Costa Rica 1984, 2000Cuba 2002Dominican Republic 1981, 2002, 2010Ecuador 1990, 2001Germany 1971Hungary 1980, 1990, 2001Jamaica 1982, 1991, 2001Malaysia 1970, 1991, 2000Mexico 1995, 1990, 2000, 2005Nigeria 2006Panama 2000Peru 1993, 2007Portugal 1981, 1991, 2001Spain 1991Uruguay 2011Venezuela 1990, 2001Vietnam 1989In all other samples, the last 3 digits are always zeroes. SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets. The U.S. 1900 sample and 1880 10% sample have multi-household dwellings that can be identified using the last 3 digits of SERIAL. SERIAL is a 10-digit numeric variable. The last 3 digits of SERIAL indicate household number within dwelling for selected samples noted in the variable description. In all other samples, the last 3 digits are always zeroes. Technical Household Variables -- HOUSEHOLD Number of person records in the household PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons. PERSONS is a 4-digit numeric variable. Technical Household Variables -- HOUSEHOLD Household weight HHWT indicates the number of households in the population represented by the household in the sample. For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics. NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Household Variables -- HOUSEHOLD Subsample number SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples. 00 1st 1% subsample 01 2nd 1% subsample 02 3rd 1% subsample 03 4th 1% subsample 04 5th 1% subsample 05 6th 1% subsample 06 7th 1% subsample 07 8th 1% subsample 08 9th 1% subsample 09 10th 1% subsample 10 11th 1% subsample 11 12th 1% subsample 12 13th 1% subsample 13 14th 1% subsample 14 15th 1% subsample 15 16th 1% subsample 16 17th 1% subsample 17 18th 1% subsample 18 19th 1% subsample 19 20th 1% subsample 20 21st 1% subsample 21 22nd 1% subsample 22 23rd 1% subsample 23 24th 1% subsample 24 25th 1% subsample 25 26th 1% subsample 26 27th 1% subsample 27 28th 1% subsample 28 29th 1% subsample 29 30th 1% subsample 30 31st 1% subsample 31 32nd 1% subsample 32 33rd 1% subsample 33 34th 1% subsample 34 35th 1% subsample 35 36th 1% subsample 36 37th 1% subsample 37 38th 1% subsample 38 39th 1% subsample 39 40th 1% subsample 40 41st 1% subsample 41 42nd 1% subsample 42 43rd 1% subsample 43 44th 1% subsample 44 45th 1% subsample 45 46th 1% subsample 46 47th 1% subsample 47 48th 1% subsample 48 49th 1% subsample 49 50th 1% subsample 50 51st 1% subsample 51 52nd 1% subsample 52 53rd 1% subsample 53 54th 1% subsample 54 55th 1% subsample 55 56th 1% subsample 56 57th 1% subsample 57 58th 1% subsample 58 59th 1% subsample 59 60th 1% subsample 60 61st 1% subsample 61 62nd 1% subsample 62 63rd 1% subsample 63 64th 1% subsample 64 65th 1% subsample 65 66th 1% subsample 66 67th 1% subsample 67 68th 1% subsample 68 69th 1% subsample 69 70th 1% subsample 70 71st 1% subsample 71 72nd 1% subsample 72 73rd 1% subsample 73 74th 1% subsample 74 75th 1% subsample 75 76th 1% subsample 76 77th 1% subsample 77 78th 1% subsample 78 79th 1% subsample 79 80th 1% subsample 80 81st 1% subsample 81 82nd 1% subsample 82 83rd 1% subsample 83 84th 1% subsample 84 85th 1% subsample 85 86th 1% subsample 86 87th 1% subsample 87 88th 1% subsample 88 89th 1% subsample 89 90th 1% subsample 90 91st 1% subsample 91 92nd 1% subsample 92 93rd 1% subsample 93 94th 1% subsample 94 95th 1% subsample 95 96th 1% subsample 96 97th 1% subsample 97 98th 1% subsample 98 99th 1% subsample 99 100th 1% subsample Technical Household Variables -- HOUSEHOLD Strata identifier This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation. STRATA is a 12-digit numeric variable. Technical Household Variables -- HOUSEHOLD Group quarters (collective dwelling) status GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools. Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification. Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions. 00 Vacant 10 Households 20 Group quarters (collective), n.s. 21 Institutions 22 Other group quarters 29 1-person unit created by splitting large household 99 Unknown/group quarters not identified Group Quarters Variables -- HOUSEHOLD 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 Cuba, Province 2002 - 2012 [Level 1; consistent boundaries, GIS] GEO1_CU identifies the household's province within Cuba. Provinces are the first level administrative units of the country. GEO1_CU is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO1_CU can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Cuba 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. 192021 Pinar del Río, Artemisa, Mayabeque 192023 La Habana 192025 Matanzas 192026 Villa Clara 192027 Cienfuegos 192028 Sancti Spíritus 192029 Ciego de Ávila 192030 Camagüey 192031 Las Tunas 192032 Holguín 192033 Granma 192034 Santiago de Cuba 192035 Guantánamo 192040 Isla de la Juventud Geography: A-E Variables -- HOUSEHOLD Cuba, Province 2002 [Level 1, GIS] GEO1_CU2002 identifies the household's province within Cuba in 2002. Provinces are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_CU2002 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Cuba 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. 001 Pinar del Río 002 La Habana 003 Ciudad de la Habana 004 Matanzas 005 Villa Clara 006 Cienfuegos 007 Sancti Spíritus 008 Ciego de Ávila 009 Camagüey 010 Las Tunas 011 Holguín 012 Granma 013 Santiago de Cuba 014 Guantánamo 099 Isla de la Juventud Geography: A-E Variables -- HOUSEHOLD Cuba, Municipality 2002 - 2012 [Level 2; consistent boundaries, GIS] GEO2_CU identifies the household's municipality within Cuba. Municipalities are the second level administrative units of the country, after provinces. GEO2_CU 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_CU can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Cuba 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. 192021001 Pinar del Río 192021002 Güira de Melena, Batabanó, Quivicán 192021003 Consocaión del Sur 192021004 Artemisa 192021005 San José de las Lajas 192021006 San Cristobal 192021007 Güines, Melena del Sur 192021008 San Antonio de los Baños 192021009 Bauta 192021010 Mariel 192021011 San Juan y Martínez 192021012 Bahía Honda 192021013 Caimito 192021014 Los Palacios 192021015 Sandino 192021016 Guane 192021017 La Palma 192021018 Santa Cruz del Norte 192021019 San Luis 192021020 Minas de Matahambre 192021021 Alquizar 192021022 Madruga 192021023 Guanajay 192021024 Viñales 192021025 Bejucal 192021026 Nueva Paz 192021027 Mantua 192021028 Jaruco 192021029 San Nicolás 192021030 Candelaria 192023001 La Lisa, Boyeros, Marianao, Cerro, Playa 192023002 Diez de Octubre 192023003 Arroyo Naranjo 192023004 La Habana del Este 192023005 San Miguel del Padrón 192023006 Plaza de la Revolución 192023007 Centro Habana 192023008 Guanabacoa 192023009 La Havana Vieja 192023010 Cotorro 192023011 Regla 192025001 Matanzas 192025002 Cárdenas 192025003 Calimete, Colón 192025004 Jagüey Grande 192025005 Jovellanos 192025006 Unión de Reyes, Ciénaga de Zapata 192025007 Pedro Betancourt 192025008 Perico 192025009 Limonar 192025010 Los Arabos 192025011 Martí 192026001 Santa Clara, Ranchuelo, Cifuentes, Camajuaní, Encrucijada 192026002 Remedios, Caibarién 192026003 Placetas 192026004 Manicaragua 192026005 Sagua la Grande 192026006 Santo Domingo 192026007 Corralillo 192026008 Quemado de Güines 192027001 Cienfuegos 192027002 Cumanayagua 192027003 Rodas 192027004 Palmira 192027005 Aguada de Pasajeros 192027006 Cruces 192027007 Abreus 192027008 Lajas 192028001 Sancti Spíritus 192028002 Trinidad 192028003 Cabaiguán 192028004 La Sierpe, Jatibonico 192028005 Yaguajay 192028006 Taguasco 192028007 Fomento 192029001 Ciego de Ávila 192029002 Bolivia, Morón 192029003 Venezuela, Baraguá 192029004 Florencia, Chambas 192029005 Majagua, Ciro Redondo 192029006 Primero de Enero 192030001 Camagüey 192030002 Guáimaro, Nuevitas 192030003 Florida 192030004 Najasa, Vertientes 192030005 Minas, Sierra de Cubitas 192030006 Santa Cruz del Sur 192030007 Sibanicú 192030008 Esmeralda 192030009 Carlos Manuel de Céspede 192030010 Jimaguayú 192031001 Majibacoa, Las Tunas 192031002 Puerto Padre 192031003 Jesús Menéndez 192031004 Jobabo 192031005 Amancio 192031006 Colombia 192031007 Manatí 192032001 Holguín 192032002 Moa, Sagua de Tánamo 192032003 Mayarí 192032004 Banes, Antilla 192032005 Urbano Noris, Cacocum 192032006 Gibara 192032007 Calixto García 192032008 Rafael Freyre 192032009 Báguanos 192032010 Cueto 192032011 Frank País 192033001 Bayamo 192033002 Manzanillo 192033003 Jiguaní, Cauto Cristo 192033004 Yara 192033005 Bartolomé Masó 192033006 Guisa 192033007 Río Cauto 192033008 Campechuela 192033009 Niquero 192033010 Media Luna 192033011 Buey Arriba 192033012 Pilón 192034001 Santiago de Cuba 192034002 Songo - La Maya, San Luis 192034003 Palma Soriano 192034004 Contramaestre 192034005 Segundo Frente 192034006 Mella 192034007 Guamá 192034008 Tercer Frente 192035001 Manuel Tames, Guantánamo 192035002 Baracoa 192035003 San Antonio del Sur, Yateras 192035004 El Salvador 192035005 Maisí 192035006 Caimanera, Niceto Pérez 192035007 Imías 192040001 Isla de la Juventud Geography: A-E Variables -- HOUSEHOLD Cuba, Municipality 2002 [Level 2, GIS] GEO2_CU2002 identifies the household's municipality within Cuba in 2002. Municipalities are the second level administrative units of the country, after provinces. A GIS map (in shapefile format), corresponding to GEO2_CU2002 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Cuba 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. 001001 Sandino 001002 Mantua 001003 Minas de Matahambre 001004 Viñales 001005 La Palma 001006 Bahía Honda 001007 Candelaria 001008 San Cristobal 001009 Los Palacios 001010 Consocaión del Sur 001011 Pinar del Río 001012 San Luis 001013 San Juan y Martínez 001014 Guane 002001 Mariel 002002 Guanajay 002003 Caimito 002004 Bauta 002005 San Antonio de los Baños 002006 Bejucal 002007 San José de las Lajas 002008 Jaruco 002009 Santa Cruz del Norte 002010 Madruga 002011 Nueva Paz 002012 San Nicolás 002013 Güines 002014 Melena del Sur 002015 Batabanó 002016 Quivicán 002017 Güira de Melena 002018 Alquizar 002019 Artemisa 003001 Playa 003002 Plaza de la Revolución 003003 Centro Habana 003004 La Havana Vieja 003005 Regla 003006 La Habana del Este 003007 Guanabacoa 003008 San Miguel del Padrón 003009 Diez de Octubre 003010 Cerro 003011 Marianao 003012 La Lisa 003013 Boyeros 003014 Arroyo Naranjo 003015 Cotorro 004001 Matanzas 004002 Cárdenas 004003 Varadero 004004 Martí 004005 Colón 004006 Perico 004007 Jovellanos 004008 Pedro Betancourt 004009 Limonar 004010 Unión de Reyes, Ciénaga de Zapata 004012 Jagüey Grande 004013 Calimete 004014 Los Arabos 005001 Corralillo 005002 Quemado de Güines 005003 Sagua la Grande 005004 Encrucijada 005005 Camajuaní 005006 Caibarién 005007 Remedios 005008 Placetas 005009 Santa Clara 005010 Cifuentes 005011 Santo Domingo 005012 Ranchuelo 005013 Manicaragua 006001 Aguada de Pasajeros 006002 Rodas 006003 Palmira 006004 Lajas 006005 Cruces 006006 Cumanayagua 006007 Cienfuegos 006008 Abreus 007001 Yaguajay 007002 Jatibonico, La Sierpe 007003 Taguasco 007004 Cabaiguán 007005 Fomento 007006 Trinidad 007007 Sancti Spíritus 008001 Chambas 008002 Morón, Bolivia 008004 Primero de Enero 008005 Ciro Redondo 008006 Florencia 008007 Majagua 008008 Ciego de Ávila 008009 Venezuela 008010 Baraguá 009001 Carlos Manuel de Céspede 009002 Esmeralda 009003 Sierra de Cubitas 009004 Minas 009005 Nuevitas 009006 Guáimaro 009007 Sibanicú 009008 Camagüey 009009 Florida 009010 Vertientes, Najasa 009011 Jimaguayú 009013 Santa Cruz del Sur 010001 Manatí 010002 Puerto Padre 010003 Jesús Menéndez 010004 Majibacoa 010005 Las Tunas 010006 Jobabo 010007 Colombia 010008 Amancio 011001 Gibara 011002 Rafael Freire 011003 Banes, Antilla 011005 Báguanos 011006 Holguín 011007 Calixto García 011008 Cacocum 011009 Urbano Noris 011010 Cueto 011011 Mayarí 011012 Frank País 011013 Sagua de Tánamo 011014 Moa 012001 Río Cauto 012002 Cauto Cristo 012003 Jiguaní 012004 Bayamo 012005 Yara 012006 Manzanillo 012007 Campechuela 012008 Media Luna 012009 Niquero 012010 Pilón 012011 Bartolomé Masó 012012 Buey Arriba 012013 Guisa 013001 Contramaestre 013002 Mella 013003 San Luis 013004 Segundo Frente 013005 Songo - La Maya 013006 Santiago de Cuba 013007 Palma Soriano 013008 Tercer Frente 013009 Guamá 014001 El Salvador 014002 Guantánamo, Manuel Tames 014003 Yateras 014004 Baracoa 014005 Maisí 014006 Imías 014007 San Antonio del Sur 014010 Niceto Pérez, Caimanera 099001 Isla de la Juventud Geography: A-E 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 Number of bedrooms BEDROOMS indicates the number of rooms available to members of the household for sleeping. 00 No bedrooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Kitchen or cooking facilities KITCHEN indicates whether the household had a kitchen, cooking facilities, or room dedicated to food preparation. 00 NIU (not in universe) 10 No kitchen 11 Food is prepared in a non-kitchen room 13 Does not prepare food in the dwelling 20 Yes, have a kitchen 21 Kitchen located inside the dwelling 22 Indoor kitchen, exclusive use 23 Indoor kitchen, shared use 24 Exclusive use of kitchen (indoor/outdoor status not specified) 25 Shared use of kitchen with another household (indoor/outdoor status not specified) 26 Kitchen located outside the dwelling 27 Outdoor kitchen, exclusive use 28 Outdoor kitchen, shared use 99 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Toilet TOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation. 00 NIU (not in universe) 10 No toilet 11 No flush toilet 20 Have toilet, type not specified 21 Flush toilet 22 Non-flush, latrine 23 Non-flush, other and unspecified 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Bathing facilities BATH indicates whether the household had access to bathing facilities and, in most cases, whether it had exclusive access. 0 NIU (not in universe) 1 No bathing facility 2 Have bathing facility, exclusivity not specified 3 Have bathing facility, exclusive use 4 Have bathing facility, shared use 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Year structure was built BUILTYR indicates the year in which construction was completed on the building in which the household resides. 0000 NIU (not in universe) 1870 1870 or earlier 1871 1871 1872 1872 1873 1873 1874 1874 1875 1875 1876 1876 1877 1877 1878 1878 1879 1879 1880 1880 1881 1881 1882 1882 1883 1883 1884 1884 1885 1885 1886 1886 1887 1887 1888 1888 1889 1889 1890 1890 1891 1891 1892 1892 1893 1893 1894 1894 1895 1895 1896 1896 1897 1897 1898 1898 1899 1899 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 9998 Under construction 9999 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Age of structure, coded from intervals AGESTRUCT2 gives the estimated age of the structure. 000 Less than 1 year old 001 1 year 002 2 years 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100 101 101 102 102 103 103 104 104 105 105 106 106 107 107 108 108 109 109 110 110 111 111 112 112 113 113 114 114 115 115 116 116 117 117 118 118 119 119 120 120 121 121 122 122 123 123 124 124 125 125 126 126 127 127 128 128 129 129 130 130 131 131 132 132 133 133 134 134 135 135 136 136 137 137 138 138 139 139 140 140 141 141 142 142 143 143 144 144 145 145 146 146 147 147 148 148 149 149 150 150 151 151 152 152 153 153 154 154 155 155 156 156 157 157 158 158 159 159 160 160 161 161 162 162 163 163 164 164 165 165 166 166 167 167 168 168 169 169 170 170 171 171 172 172 173 173 174 174 175 175 176 176 177 177 178 178 179 179 180 180 181 181 182 182 183 183 184 184 185 185 186 186 187 187 188 188 189 189 190 190 191 191 192 192 193 193 194 194 195 195 196 196 197 197 198 198 199 199 200 200+ 997 Under construction 998 Unknown 999 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Household classification HHTYPE is a constructed variable that describes the composition of households. HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ. 00 Vacant household 01 One-person household 02 Married/cohab couple, no children 03 Married/cohab couple with children 04 Single-parent family 05 Polygamous family 06 Extended family, relatives only 07 Composite household, family and non-relatives 08 Non-family household 09 Unclassified subfamily 10 Other relative or non-relative household 11 Group quarters 99 Unclassifiable Constructed Household Variables -- HOUSEHOLD Number of families in household NFAMS is a constructed variable that indicates the number of families within each household. Family membership is defined by FAMUNIT. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and a domestic employee contains two families; a household consisting of a large, multi-generation extended family with no persons unrelated to the head counts as a single family. NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail. 0 Vacant household 1 1 family 2 2 families 3 3 families 4 4 families 5 5 families 6 6 families 7 7 families 8 8 families 9 9 or more families Constructed Household Variables -- HOUSEHOLD Number of married couples in household NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household. NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household). 0 No married couples in household 1 1 couple 2 2 couples 3 3 couples 4 4 couples 5 5 couples 6 6 couples 7 7 couples 8 8 couples 9 9 or more couples Constructed Household Variables -- HOUSEHOLD Number of mothers in household NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household. NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household). 0 No mothers in household 1 1 mother 2 2 mothers 3 3 mothers 4 4 mothers 5 5 mothers 6 6 mothers 7 7 mothers 8 8 mothers 9 9 or more mothers in household Constructed Household Variables -- HOUSEHOLD Number of fathers in household NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household. NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household). 0 No fathers in household 1 1 father 2 2 fathers 3 3 fathers 4 4 fathers 5 5 fathers 6 6 fathers 7 7 fathers 8 8 fathers 9 9 or more fathers in household Constructed Household Variables -- HOUSEHOLD Head's location in household HEADLOC gives the person number (PERNUM) of the head of household in samples in which persons are organized into households. HEADLOC is a 3-digit numeric variable. Constructed Household Variables -- HOUSEHOLD Dwelling number Cuba 2002: All households This variable indicates the dwelling number. This is a 7-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Household number (within dwelling) Cuba 2002: All households This variable indicates the household number (within the dwelling). 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 Technical Household Variables -- HOUSEHOLD Number of households in dwelling Cuba 2002: All households This variable indicates the number of households in the dwelling. 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 Technical Household Variables -- HOUSEHOLD Number of persons in dwelling Cuba 2002: All households This variable indicates the number of persons in the dwelling. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 Technical Household Variables -- HOUSEHOLD Number of persons in household Cuba 2002: All households This variable indicates the number of persons in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 Technical Household Variables -- HOUSEHOLD Dwelling created by splitting apart a large dwelling or household Cuba 2002: All households This variable indicates whether the dwelling was created by splitting apart a larger dwelling or household. 0 No problem 1 Yes: households within a large dwelling were split apart into separate dwellings 2 Yes: persons within a large household were split apart into separate dwellings Technical Household Variables -- HOUSEHOLD Place of accommodation <svar v="CU02A024" a="all"><span class="em">Section II. Classification of the housing units</span><br /><br /> [] 1 Private dwelling - Continue with section III: Information about the private dwelling.<br /> [] 3 Work site (with permanent residents)<br /><div class="i1">Type and name of the Work Site ____<br />Continue with Section IV: Information about the Person.</div><br /><br /> [] 5 Collectivity (with permanent residents)<br /><div class="i1">Type and name of the Collectivity<br />Code _ _ _<br />Continue with Section IV: Information about the Person.</div><br /></svar> <svar v="CU02A024" a="all"><span class="em">Section II. Classification of the Housing Units</span><br /><br />This section will be completed for all of the dwellings that have permanent residents, whether it is a private dwelling, a work center, or a collective dwelling, according to the definitions given for these Housing Units. In the case of the last two alternatives, you should also write the type and name, in addition to marking the corresponding box.<br /><br />Section II. Classification of the Housing Units:<br /><br /><div class="i1">[] 1 Private dwelling<br />Continue with Section III. Information about the Private Dwelling<br /><br />[] 3 Work Center (With permanent residents)<br />Type and name of the work center.<br />_____<br />Continue with Section IV. Information about the persons<br /><br />[] 5 Collective dwelling (With permanent residents)<br />Type and name of work center<br />_____ [ _ _ ] []<br />Continue with Section IV. Information about the persons / Code</div><br /><br />When we are in the presence of a Private Dwelling, box (1) will be marked and you will continue with Section III "Information about the Private Dwelling".<br /><br /></svar> Cuba 2002: All households This variable indicates if the place of accommodation is an individual dwelling, a collective dwelling, or a work premise. 1 Individual dwellings 2 Work premises 3 Collectivities Group Quarters Variables -- HOUSEHOLD Type of dwelling <span class="em">Section III. Information about the Private Dwelling</span></p> <p><svar v="CU02A025" a="all">1. Type of dwelling <br /><div class="i1">(Mark only one)<br /><br />[] 1 House<br />[] 2 Apartment<br />[] 3 Room in a room building or in a neighborhood house<br />[] 4 Thatched hut<br />[] 5 Improvised<br />[] 6 Other - continue with Section IV</div><br /></svar> <svar v="CU02A025" a="all"><span class="em">Question 1. Type of dwelling:</span><br /><br />[illustration]<br /><br />1. Type of Dwelling (only one mark)<br /><div class="i1">[] 1 House<br />[] 2 Apartment<br />[] 3 Rooms in boarding house<br />[] 4 Shack<br />[] 5 Improvised dwelling<br />[] 6 Other 6 -- Continue with Section IV</div><br /><br />This question is not asked of the enumerated person, but by simple inspection and taking into account the basic definitions we classify the type of dwelling in which we find ourselves.<br /><br />This question only permits one mark.<br /><br />In the case that you mark an answer between 1 and 5, you continue with question 2; but if you mark the alternative number 6, you end this section and continue with Section IV Information about the person.<br /></svar> Cuba 2002: Private dwellings [discrepancies: type I none; type II trace] This variable indicates the type of dwelling (for example: house, apartment). 1 House 2 Apartment 3 Other types 8 Unknown 9 NIU (not in universe) Technical Household Variables -- HOUSEHOLD Housing status <span class="em">Section III. Information about the Private Dwelling</span></p> <p><svar v="CU02A026" a="all">2. The dwelling is occupied by: <br /><div class="i1">(Mark only one)<br /><br />[] 1 Permanent residents<br />[] 2 Temporary residents<br />[] 3 Seasonal<br />[] 4 Closed (occupants absent)<br />[] 5 Unoccupied<br /><br />Numbers 2, 3, 4, 5: Do not complete section IV.</div><br /></svar> <svar v="CU02A026" a="all"><span class="em">Question 2. The dwelling is occupied by?</span><br /><br />This question refers to the form in which the dwelling is found occupied.<br /><br />For the purposes of the Census, it refers to:<br /><br />[illustration]<br /><br /><div class="i1">Dwelling occupied by:</div><br /><div class="i2">[] Permanent residents<br />[] Temporary residents<br />[] Seasonally occupied</div><br /><div class="i1">[] Closed<br />[] Unoccupied</div><br /><br />Taking into account the basic definitions (which appear on previous pages), ask the question to the enumerated person and classify it according to the answer that he/she gives you. Remember that this question only allows one answer and then you move on to question 3, when the dwelling is occupied by permanent residents.<br /><br />[illustration]<br /><br />2. The dwelling is occupied by: (only one mark)<br /><div class="i1">[] 1 Permanent residents<br />[] 2 Temporary residents<br />[] 3 Seasonally occupied<br />[] 4 Closed<br />[] 5 Unoccupied</div><br /><br />For answers 2-5: do not complete Section IV.<br /><br />In the case that the enumerated person does not know how it is classified, or does not understand the question, continue by giving a brief explanation of each of the alternatives.<br /><br />If you mark any of the options between 2 and 5, you will not complete Section IV, since the alternative to answer 2, the residents are not permanent residents in the country; in the case of number 3, the persons who are found in the dwelling have their permanent residence in another place in the country; in the case of number 5, this has the implicit indication that the dwelling does not have occupants, for which you should ask the neighbors the rest of the questions of this section.<br /><br />In the case of number 4 of the questionnaire, it indicates that you should not complete section IV, but requires what is obtained from the CDR, the questions 1, 4 and 5 (name and last names, age and sex respectively), for this section to avoid the loss of persons, in that case that they cannot be located in other places in the country because they are in hospitals where the patients' stay is temporary or in the case of tourists institutions, which will not be visited because they are not the object of the Census.<br /><br />If you mark that the dwelling is unoccupied (box 5) in question 2, you should not have marked that the type of private dwelling is improvised (box 5) in question 1.<br /></svar> Cuba 2002: Private dwellings [discrepancies: type I none; type II trace] This variable indicates the residency status of the dwelling. 1 Permanent residents 2 Temporary residents 3 Occupied seasonally 4 Closed (occupants absent) 5 Unoccupied 8 Unknown 9 NIU (not in universe) Technical Household Variables -- HOUSEHOLD Date of construction <span class="em">Section III. Information about the Private Dwelling</span></p> <p><svar v="CU02A027" a="all">3. What is the date of construction of the dwelling? <br /><div class="i1">(For houses and apartments; mark only one)<br /><br />[] 1 Before 1920<br />[] 2 From 1920 to 1933<br />[] 3 From 1934 to 1945<br />[] 4 From 1946 to 1958<br />[] 5 From 1959 to 1970<br />[] 6 From 1971 to 1981<br />[] 7 From 1982 to 1989<br />[] 8 From 1990 to the Census Date<br />[] 9 Not known</div><br /></svar> <svar v="CU02A027" a="all"><span class="em">Question 3. What is the date of construction of the dwelling?</span><br /><br />In this question you will ask about the year in which the construction of the dwelling was completed, taking into account that this will only be asked of dwellings that are of the type called House or Apartments.<br /><br />[illustration]<br /><br />What is the construction date of the dwelling? (For houses and apartments; only one mark)<br /><div class="i1">[] 1 Before 1920<br />[] 2 From 1920 to 1933<br />[] 3 From 1934 to 1945<br />[] 4 From 1946 to 1958<br />[] 5 From 1959 to 1970<br />[] 6 From 1971 to 1981<br />[] 7 From 1982 to 1989<br />[] 8 From 1990 to the Census Date<br />[] 9 Not known</div><br /><br />The question should be asked in the following manner:<br /><br />"The date of construction of the dwelling is?" and you will start to mention the periods until the interviewee tells you to which it belongs.<br /><br />Mark the box that corresponds to the period in which you encounter the year given by the interviewee, remembering that you should only mark one period.<br /><br />If the dwelling was enlarged or partially remodeled later, you will take into account the year in which the principal part of the same was built.<br /><br />Observe that the first period (box 1) covers constructions until the year 1919, which means, it does not include those from 1920.<br /></svar> Cuba 2002: Private occupied house or apartment [discrepancies: type I none; type II 3.3%] This variable indicates the dwelling's date of construction. 01 Before 1920 02 From 1920 to 1933 03 From 1934 to 1945 04 From 1946 to 1958 05 From 1959 to 1970 06 From 1971 to 1981 07 From 1982 to 1989 08 From 1990 to present 97 Does not know 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Rooms <span class="em">Section III. Information about the Private Dwelling</span></p> <p><svar v="CU02A028 CU02A029 CU02A030">6. Number of rooms per dwelling<br /></svar></p> <p><svar v="CU02A028" a="all"><div class="i1">a. What is the total number of rooms in the dwelling?</div><br /><div class="i2">(Do not count bathrooms, corridors, balconies, open rooms, such as: portals, terrazas, galleries, etc.)<br /><br />_ _</div><br /></svar> <svar v="CU02A028 CU02A029 CU02A030" a="all"><span class="em">Question 6. What is the quantity of rooms that the dwelling has?:</span><br /><br />This question [question 6] is related to the quantity of rooms in the dwelling and of these, how many are habitually used for sleeping and how many are used exclusively as bedrooms.<br /><br />In this question the form of annotation changes, since they are not marked with an X for the answer, but you note a quantity (with numbers), which is given to us by the interviewee. You should take into account that you should note two digits, so therefore you will fill in a zero on the left when the number is not higher than nine.<br /><br />Considering that generally the rooms are the spaces in the dwelling called bedroom, dormitory or room, living room, dining room, entryway, closed porch, garages, etc., whenever these same rooms are separated from each other with fixed walls that are two meters high or higher, and that in addition they have a surface area of at least four square meters and the kitchen if its size permits the placement of a table with chairs for eating in it.<br /><br />Do not include the following as a room, even if it has more than four square meters of surface space: bathrooms, closet, interior hallways, open galleries, sanitary services, open portals, patios, balconies, terraces, etc.<br /></svar></p> <p><svar v="CU02A028">Question 6.<br /><div class="i1">a. What is the quantity of rooms that the dwelling has?<br />(Do not include bathrooms, corridors, open rooms, such as open portals, terraces, galleries, etc.</div><br /><div class="i2">[ _ _ ]</div><br /></svar></p> <p><svar v="CU02A028">In part A) of the question, you should write the total of rooms with which the dwelling counts, taking into account the concept of room given above.<br /></svar> Cuba 2002: Private dwellings, with permanent residents or occupants absent [discrepancies: type I none; type II 3.6%] This variable indicates the number of rooms in the dwelling. Bathrooms, corridors, balconies, and open rooms are not counted. 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 Rooms used for sleeping <span class="em">Section III. Information about the Private Dwelling</span></p> <p><svar v="CU02A028 CU02A029 CU02A030">6. Number of rooms per dwelling<br /></svar></p> <p><svar v="CU02A029" a="all"><div class="i1">b. How many are habitually used for sleeping?</div><br /><div class="i2">_ _</div><br /></svar> <svar v="CU02A028 CU02A029 CU02A030" a="all"><span class="em">Question 6. What is the quantity of rooms that the dwelling has?:</span><br /><br />This question [question 6] is related to the quantity of rooms in the dwelling and of these, how many are habitually used for sleeping and how many are used exclusively as bedrooms.<br /><br />In this question the form of annotation changes, since they are not marked with an X for the answer, but you note a quantity (with numbers), which is given to us by the interviewee. You should take into account that you should note two digits, so therefore you will fill in a zero on the left when the number is not higher than nine.<br /><br />Considering that generally the rooms are the spaces in the dwelling called bedroom, dormitory or room, living room, dining room, entryway, closed porch, garages, etc., whenever these same rooms are separated from each other with fixed walls that are two meters high or higher, and that in addition they have a surface area of at least four square meters and the kitchen if its size permits the placement of a table with chairs for eating in it.<br /><br />Do not include the following as a room, even if it has more than four square meters of surface space: bathrooms, closet, interior hallways, open galleries, sanitary services, open portals, patios, balconies, terraces, etc.<br /></svar></p> <p><svar v="CU02A029"><div class="i1">b. How many rooms are habitually used for sleeping?</div><br /><div class="i2">[ _ _ ]</div><br /></svar></p> <p><svar v="CU02A029">In B) consider those that despite not being bedrooms are used for this purpose at the moment of the census.<br /><br />Be aware that these are rooms that are used for sleeping, which means, the spaces of the dwelling that you determined as rooms in part A) of this question and that are used for the mentioned purpose.<br /><br />In this manner, a living room that fulfills the condition of room, and in which a person habitually sleeps, would be a room used for sleeping.<br /><br />In the same manner, you will include all of the bedrooms, even when some of them are not used by their occupants because there are more bedrooms than are needed.<br /><br />If, in a dwelling, they inform you that they have two bedrooms, but in addition they habitually use the living room and dining room, you should note under rooms used for sleeping: (04).<br /></svar> Cuba 2002: Private dwellings with permanent residents or occupants absent [discrepancies: type I trace; type II 3.6%] This variable indicates the number of rooms habitually used for sleeping. 1 1 2 2 3 3 4 4+ 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Bedrooms <span class="em">Section III. Information about the Private Dwelling</span></p> <p><svar v="CU02A028 CU02A029 CU02A030">6. Number of rooms per dwelling<br /></svar></p> <p><svar v="CU02A030" a="all"><div class="i1">c. How many are exclusively dormitories or bedrooms?</div><br /><br /><div class="i2">_ _</div><br /></svar> <svar v="CU02A028 CU02A029 CU02A030" a="all"><span class="em">Question 6. What is the quantity of rooms that the dwelling has?:</span><br /><br />This question [question 6] is related to the quantity of rooms in the dwelling and of these, how many are habitually used for sleeping and how many are used exclusively as bedrooms.<br /><br />In this question the form of annotation changes, since they are not marked with an X for the answer, but you note a quantity (with numbers), which is given to us by the interviewee. You should take into account that you should note two digits, so therefore you will fill in a zero on the left when the number is not higher than nine.<br /><br />Considering that generally the rooms are the spaces in the dwelling called bedroom, dormitory or room, living room, dining room, entryway, closed porch, garages, etc., whenever these same rooms are separated from each other with fixed walls that are two meters high or higher, and that in addition they have a surface area of at least four square meters and the kitchen if its size permits the placement of a table with chairs for eating in it.<br /><br />Do not include the following as a room, even if it has more than four square meters of surface space: bathrooms, closet, interior hallways, open galleries, sanitary services, open portals, patios, balconies, terraces, etc.<br /></svar></p> <p><svar v="CU02A030"><div class="i1">c. How many are exclusively dormitories or bedrooms?</div><br /><div class="i2">[ _ _ ]</div><br /></svar></p> <p><svar v="CU02A030" a="all">However, in section C) you collect the total number of rooms that are used for the exclusive function of bedroom.<br /></svar> Cuba 2002: Private dwellings with permanent residents or occupants absent [discrepancies: type I none; type II 3.6%] This variable indicates the total number of rooms used for the exclusive function of sleeping. 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Place to cook <span class="em">Section III. Information about the Private Dwelling</span></p> <p><svar v="CU02A031" a="all">7. Does the dwelling have a space for cooking? <br /><div class="i1">(Mark only one)<br /><br />[] 1 Exclusive for the dwelling?<br />[] 2 Shared by various dwellings?<br />[] 3 Does not have?</div><br /></svar> <svar v="CU02A031" a="all"><span class="em">Question 7. Does the dwelling have a room for cooking?</span><br /><br />With this question [question 7], we want to know if the dwelling has a room that is used for cooking, for exclusive use or shared by various dwellings, or if the dwelling does not have this room, which would mean that you should formulate the question exactly as it appears.<br /><br />[illustration]<br /><br />7. Does the dwelling have a space for cooking? [mark only one]<br /><div class="i1">[] 1 Exclusive for the dwelling?<br />[] 2 Shared by various dwellings?<br />[] 3 Does not have?</div><br /><br />You will understand as such, all spaces that are separated from the other rooms or spaces of the dwellings, whatever its size, designated for preparing meals, store food, wash and store the dishes, which means, the room that we generally call the kitchen.<br /><br />Observe that this room does not necessarily have to be a room, therefore, its size can be greater or less than four square meters, although it must be separated by walls.<br /><br />Include those commercial kitchen spaces that also have a table with chairs used for eating. But do not confuse that the inverse case is not considered, which means a dining room that has been provisionally set up with utensils for cooking.<br /><br />If you are informed that the dwelling has a place for cooking, you will mark box 1 (if is for the exclusive use of this dwelling) or box 2 (if it is shared by several dwellings).<br /><br />If there is no space for cooking, mark box "Does not have".<br /></svar> Cuba 2002: Private occupied dwellings [discrepancies: type I none; type II 3.5%] This variable indicates the kitchen's status. 1 For this dwelling only 2 Used by several household 3 Does not have 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Water facilities <span class="em">Section III. Information about the Private Dwelling</span></p> <p><svar v="CU02A032 CU02A033">9. Does the dwelling have piped water installed?<br /></svar> <br /><svar v="CU02A032" a="all"><div class="i1">a. Does the dwelling have piped water supply?</div><br /><div class="i2">(Mark only one per group)<br /><br />[] 1 Inside the dwelling<br />[] 2 Outside the dwelling<br />[] 3 Does not have</div><br /></svar> <svar v="CU02A032 CU02A033" a="all"><span class="em">Question 9. Does the dwelling have piped water installed?</span><br /><br />This question is comprised of four sections, where you collect information about the piped water installation, the supply form, the source of this product, and the frequency, for the case that the source is the Aqueduct.<br /></svar></p> <p><svar v="CU02A032">9.a. Does the dwelling have piped water supply? (mark only one per group).<br /><div class="i1">[] 1 Inside the dwelling<br />[] 2 Outside the dwelling<br />[] 3 Does not have</div><br /></svar></p> <p><svar v="CU02A032">The question should be formulated in relation to the section, plus the possible alternatives; in section A) Does the dwelling have piped water installations, inside the dwelling, outside the dwelling, or does not have. In this section, you will make one mark.<br /><br />You will understand as piped water installation, when in the dwelling you find the necessary hydraulic connections for conducting water to the inside of the dwelling (interior) or only to the garden, patio, etc. (exterior), independently of whether at the census moment, water does not flow through said installations.<br /><br />In this section, what we want to know is if the dwelling has or does not have water installations.<br /></svar> Cuba 2002: Private occupied dwellings [discrepancies: type I none; type II 3.5%] This variable indicates the location of the piped water supply. 1 Within dwelling 2 Outside of dwelling 3 Doesn't have 8 Unknown 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Water supply <span class="em">Section III. Information about the Private Dwelling</span></p> <p><svar v="CU02A032 CU02A033">9. Does the dwelling have piped water installed?<br /></svar> <br /><svar v="CU02A032" a="all"><div class="i1">a. Does the dwelling have piped water supply?</div><br /><div class="i2">(Mark only one per group)<br /><br />[] 1 Inside the dwelling<br />[] 2 Outside the dwelling<br />[] 3 Does not have</div><br /></svar></p> <p><svar v="CU02A033" a="all"><div class="i1">b. Does the dwelling receive water by:</div><br /><div class="i2">[] 1 Pipes<br />[] 2 Delivered by another means</div><br /></svar> <svar v="CU02A032 CU02A033" a="all"><span class="em">Question 9. Does the dwelling have piped water installed?</span><br /><br />This question is comprised of four sections, where you collect information about the piped water installation, the supply form, the source of this product, and the frequency, for the case that the source is the Aqueduct.<br /></svar></p> <p><svar v="CU02A033">b. Does the dwelling receive water by:<br /><div class="i1">[] 1 Pipes<br />[] 3 Delivered by another means</div><br /></svar></p> <p><svar v="CU02A033">In section B) you will ask, "Does the dwelling get its water through pipes or through another method?" If you mark the first box, you should have marked box 1 or 2 in section A), never box 3, because if they do not have water installation, they cannot be supplied with piped water. In the case that you mark box 3, you can have any box marked in section A), since they can have the installation but never have received water through it and have to get the water supply from another method.<br /></svar> Cuba 2002: Private occupied dwellings [discrepancies: type I none; type II 3.5%] This variable indicates whether the dwelling gets its water through pipelines or other methods. 1 Pipes 3 Transported by other means 8 Unknown 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Waste water system <span class="em">Section III. Information about the Private Dwelling</span></p> <p><svar v="CU02A034" a="all">10. What drainage system does the dwelling have? <br /><div class="i1">(Mark only one)<br /><br />[] 1 Sewer system<br />[] 2 Septic well or tank<br />[] 3 Others</div><br /></svar> <svar v="CU02A034" a="all"><span class="em">Question 10. What sewage system is used by the dwelling?</span><br /><br />Through this question, we want to know the sewage system that is available to the dwelling that is visited, understanding that the sewage system is the system for removing waste water or sewage, which can be through:<br /><br />[illustration]<br />10. What drainage system does the dwelling have? (mark only one)<br /><div class="i1">[] 1 Sewer system<br />[] 2 Septic well or tank<br />[] 3 Others</div><br /><br />Sewage drains: This is a public sewage drain system, which serves a city, town, village, etc.<br /><br />Septic well or tank: This is the place where the putrefaction and liquefaction of the solid waste residuals takes place and from where water passes on to a sewage well or drain, etc.<br /><br />Others: Consider any form of removal not contemplated in the previous alternatives, such as, for example: the evacuation of sewage into a river or lake, etc.<br /><br />You will mark the corresponding box with an (x) based on what is declared in the dwelling that you visit, therefore, you will only have one marked box.<br /><br />The question should be asked in the following manner: What drainage system does the house have?<br /></svar> Cuba 2002: Private occupied dwellings [discrepancies: type I none; type II 3.5%] This variable indicates the dwelling's type of sewage system. 1 Sewerage system 2 Pit or septic tank 3 Other 8 Unknown 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Presence of bathroom (for bathing) <span class="em">Section III. Information about the Private Dwelling</span></p> <p><svar v="CU02A035" a="all">11. Does the dwelling have a bathroom or shower with running water installed and working drains?<br /></svar></p> <p><svar v="CU02A035" a="all"><div class="i1">a. Does the dwelling have a bathtub or shower with an installation of running water and drain for use?</div><br /><div class="i2">(Mark only one per group)<br /><br />[] 1 Exclusive use of the dwelling<br />[] 2 Shared among various dwellings<br />[] 3 Does not have - continue with question 12.</div><br /></svar> <svar v="CU02A035" a="all"><span class="em">Question 11. Does the dwelling have a bathroom or shower with running water installed and working drains?</span><br /><br />This question refers to whether the dwelling does or does not have a space for personal hygiene and its location. You should consider as a bathroom or shower, any room or special space, separated from other rooms or spaces in the dwelling, whatever its size, that is designated for body washing, with running water and drains installed. This room can have or not have sanitary services (toilet) in addition.<br /><br />The question has two parts and should be asked in the following manner: A) Does the dwelling have a bathroom or shower with running water and drains installed, for the exclusive use of this dwelling, for shared use of various dwellings, or is there none available?<br /><br />If you will mark box 3 (does not have), you should not ask part B) and you will continue directly with question 12.<br /><br />Part B) will be asked of the dwellings where you marked boxes 1 or 2, asking, is the bathroom or shower located inside the dwelling or outside of it?<br /></svar> Cuba 2002: Private occupied dwellings [discrepancies: type I none; type II 3.5%] This variable indicates whether the dwelling has a bathroom. 1 For this dwelling only 2 Shared among several 3 Does not have 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Presence of toilet <span class="em">Section III. Information about the Private Dwelling</span></p> <p><svar v="CU02A036 CU02A037" a="CU02A036">12. Sanitary services.<br /></svar></p> <p><svar v="CU02A036"><div class="i1">a. Does the dwelling have sanitary services for use?</div><br /><div class="i2">(Mark only one per group)<br /><br />[] 1 Exclusive of this dwelling<br />[] 2 Shared among various dwellings<br />[] 3 Does not have - continue with question 13.</div><br /></svar> <svar v="CU02A036 CU02A037" a="CU02A036"><span class="em">Question 12. Sanitary service</span><br /><br />With this question, we want to know if the dwelling has sanitary services, if it is for exclusive use or shared, the type of service, and its location.<br /></svar></p> <p><svar v="CU02A036" a="all">12. a. Does the dwelling have sanitary services for use:? (mark only one per group)<br /><div class="i1">[] 1 Exclusive of this dwelling<br />[] 2 Shared among various dwellings<br />[] 3 Does not have -- Continue with question 13.</div><br /></svar></p> <p><svar v="CU02A036">Part A) is asked in the following manner: Does the dwelling have sanitary service that is for exclusive use, shared use or none?<br /></svar> Cuba 2002: Private occupied dwellings [discrepancies: type I none; type II 3.5%] This variable indicates whether the dwelling has a toilet facility. 1 For this dwelling only 2 Shared among several dwellings 3 Does not have 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Location of toilet facilities <span class="em">Section III. Information about the Private Dwelling</span></p> <p><svar v="CU02A036 CU02A037" a="CU02A036">12. Sanitary services.<br /></svar></p> <p><svar v="CU02A037" a="all"><div class="i1">c. The sanitary services are located:</div><br /><div class="i2">[] 1 Inside the dwelling<br />[] 3 Outside the dwelling</div><br /></svar> <svar v="CU02A036 CU02A037" a="CU02A036"><span class="em">Question 12. Sanitary service</span><br /><br />With this question, we want to know if the dwelling has sanitary services, if it is for exclusive use or shared, the type of service, and its location.<br /></svar></p> <p><svar v="CU02A037" a="all">c. The sanitary services are located:<br /><div class="i1">[] 1 Inside the dwelling<br />[] 3 Outside the dwelling</div><br /></svar></p> <p><svar v="CU02A037">In the cases where you mark box 1 or 2, you will continue by asking part B). If you marked box 3 (Does not have), you should continue directly with question 13, leaving parts B) y C) blank.<br /><br />With part B) we want to know the type of sanitary service that the dwelling has. There should only be one mark, asking: What type of sanitary service do you have: water toilet, sanitary latrine, outhouse or black well?<br /><br />In the case that the dwelling has more than one sanitary service and they are of different types, the types and location, you will mark the one that is used the most frequently.<br /></svar> Cuba 2002: Private occupied dwellings with toilets [discrepancies: none] This variable indicates the location of the toilet facilities. 1 Inside dwelling 3 Outside dwelling 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Power supply for lighting <span class="em">Section III. Information about the Private Dwelling</span></p> <p><svar v="CU02A038" a="all">13. What is the source of energy that is used for lighting the dwelling? <br /><div class="i1">(Mark only one)<br /><br />[] 1 Union electric<br />[] 2 Industrial plant<br />[] 3 Brilliant light (kerosene)<br />[] 4 Mini hydro electric<br />[] 5 Solar panels<br />[] 6 Biogas<br />[] 7 Own electrical plant<br />[] 8 Other</div><br /></svar> <svar v="CU02A038" a="all"><span class="em">Question 13. What is the energy source that is used for illumination in the dwelling?</span><br /><br />With this question we want to know what the source is for energy that is used for illumination and this only permits one mark.<br /><br />[illustration]<br />13. What is the source of energy that is used for lighting the dwelling? (mark only one)<br /><div class="i1">[] 1 Union electric<br />[] 2 Industrial plant<br />[] 3 Brilliant light (kerosene)<br />[] 4 Mini hydro electric<br />[] 5 Solar panels<br />[] 6 Biogas<br />[] 7 Own electrical plant<br />[] 8 Other</div><br /><br />For the formulation of this question, you should read it and list the possible answers. What is the source of the energy used for illumination of the dwelling: Union Electric (national network), industrial plant, brilliant light, mini-hydroelectric, solar panels, bio-gas, private generator or another source?<br /><br />For this, you should already know how to identify each of these energy sources.<br /><br /><div class="i1">Union Electric: When the electrical energy for illumination comes from the general network of the country, supplied by the electrical company.<br /><br />Industrial plant: This includes the cases where the electricity is supplied by state centers, such as sugar plants, factories, mines, etc., or by Popular Power.<br /><br />Brilliant Light (kerosene): This is when the illumination is obtained by using energy known as brilliant light (kerosene, liquid gas, coal oil, etc.); or another derivative of petroleum (gasoline, etc.).<br /><br />Mini-hydroelectric: This includes, in addition to the mini-hydroelectric, the systems that are adapted to use water force to generate electricity.<br /><br />Solar Panels: This is a system that transforms the solar energy into electricity, using panels that capture solar rays in its solar conducting surface elements that make the transformation.<br /><br />Bio-gas: This is a system that is capable of producing energy through the decomposition of organic material.<br /><br />Private generator: This is the electric energy for illumination that is obtained from domestic electric generators, owned by the occupants of the dwelling.<br /><br />Other: This includes those that are not indicated above, such as: coal, candles, vegetable oil, animal grease, etc.</div><br /></svar> Cuba 2002: Private occupied dwellings [discrepancies: type I none; type II 3.5%] This variable indicates the type of power supply used for lighting by the household. 0 NIU (not in universe) 1 Power company 2 Industrial plant 3 Kerosene 4 Mini hydroelectric 5 Solar panels 7 Own electrical plant 8 Other 9 Unknown Utilities Variables -- HOUSEHOLD Strata Cuba 2002: 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 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, Cuba; [Level1: consistent boundaries, GIS] BPL1_CU indicates the person's province of birth within Cuba. Birthplace province codes in BPL1_CU are compatible with codes in GEO1_CU. 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. 192021 Pinar del Río, Artemisa, Mayabeque 192023 La Habana 192025 Matanzas 192026 Villa Clara 192027 Cienfuegos 192028 Sancti Spíritus 192029 Ciego de Ávila 192030 Camagüey 192031 Las Tunas 192032 Holguín 192033 Granma 192034 Santiago de Cuba 192035 Guantánamo 192040 Isla de la Juventud 192997 Abroad 192998 Unknown Nativity and Birthplace Variables -- PERSON Municipality of birth, Cuba; [Level 2; consistent boundaries, GIS] BPL2_CU indicates the person's municipality of birth within Cuba. Birthplace municipality codes in BPL2_CU are compatible with codes in GEO2_CU. 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. 192021001 Pinar del Río 192021002 Güira de Melena, Batabanó, Quivicán 192021003 Consocaión del Sur 192021004 Artemisa 192021005 San José de las Lajas 192021006 San Cristobal 192021007 Güines, Melena del Sur 192021008 San Antonio de los Baños 192021009 Bauta 192021010 Mariel 192021011 San Juan y Martínez 192021012 Bahía Honda 192021013 Caimito 192021014 Los Palacios 192021015 Sandino 192021016 Guane 192021017 La Palma 192021018 Santa Cruz del Norte 192021019 San Luis 192021020 Minas de Matahambre 192021021 Alquizar 192021022 Madruga 192021023 Guanajay 192021024 Viñales 192021025 Bejucal 192021026 Nueva Paz 192021027 Mantua 192021028 Jaruco 192021029 San Nicolás 192021030 Candelaria 192021098 Pinar del Río, Artemisa, and Mayabeque provinces, unknown municipality 192023001 La Lisa, Boyeros, Marianao, Cerro, Playa 192023002 Diez de Octubre 192023003 Arroyo Naranjo 192023004 La Habana del Este 192023005 San Miguel del Padrón 192023006 Plaza de la Revolución 192023007 Centro Habana 192023008 Guanabacoa 192023009 La Havana Vieja 192023010 Cotorro 192023011 Regla 192023098 La Habana province, unknown municipality 192025001 Matanzas 192025002 Cárdenas 192025003 Calimete, Colón 192025004 Jagüey Grande 192025005 Jovellanos 192025006 Unión de Reyes, Ciénaga de Zapata 192025007 Pedro Betancourt 192025008 Perico 192025009 Limonar 192025010 Los Arabos 192025011 Martí 192025098 Matanzas province, unknown municipality 192026001 Santa Clara, Ranchuelo, Cifuentes, Camajuaní, Encrucijada 192026002 Remedios, Caibarién 192026003 Placetas 192026004 Manicaragua 192026005 Sagua la Grande 192026006 Santo Domingo 192026007 Corralillo 192026008 Quemado de Güines 192026098 Villa Clara province, unknown municipality 192027001 Cienfuegos 192027002 Cumanayagua 192027003 Rodas 192027004 Palmira 192027005 Aguada de Pasajeros 192027006 Cruces 192027007 Abreus 192027008 Lajas 192027098 Cienfuegos province, unknown municipality 192028001 Sancti Spíritus 192028002 Trinidad 192028003 Cabaiguán 192028004 La Sierpe, Jatibonico 192028005 Yaguajay 192028006 Taguasco 192028007 Fomento 192028098 Sancti Spíritus province, unknown municipality 192029001 Ciego de Ávila 192029002 Bolivia, Morón 192029003 Venezuela, Baraguá 192029004 Florencia, Chambas 192029005 Majagua, Ciro Redondo 192029006 Primero de Enero 192029098 Ciego de Ávila province, unknown municipality 192030001 Camagüey 192030002 Guáimaro, Nuevitas 192030003 Florida 192030004 Najasa, Vertientes 192030005 Minas, Sierra de Cubitas 192030006 Santa Cruz del Sur 192030007 Sibanicú 192030008 Esmeralda 192030009 Carlos Manuel de Céspede 192030010 Jimaguayú 192030098 Camagüey province, unknown municipality 192031001 Majibacoa, Las Tunas 192031002 Puerto Padre 192031003 Jesús Menéndez 192031004 Jobabo 192031005 Amancio 192031006 Colombia 192031007 Manatí 192031098 Las Tunas province, unknown municipality 192032001 Holguín 192032002 Moa, Sagua de Tánamo 192032003 Mayarí 192032004 Banes, Antilla 192032005 Urbano Noris, Cacocum 192032006 Gibara 192032007 Calixto García 192032008 Rafael Freyre 192032009 Báguanos 192032010 Cueto 192032011 Frank País 192032098 Holguín province, unknown municipality 192033001 Bayamo 192033002 Manzanillo 192033003 Jiguaní, Cauto Cristo 192033004 Yara 192033005 Bartolomé Masó 192033006 Guisa 192033007 Río Cauto 192033008 Campechuela 192033009 Niquero 192033010 Media Luna 192033011 Buey Arriba 192033012 Pilón 192033098 Granma province, unknown municipality 192034001 Santiago de Cuba 192034002 Songo - La Maya, San Luis 192034003 Palma Soriano 192034004 Contramaestre 192034005 Segundo Frente 192034006 Mella 192034007 Guamá 192034008 Tercer Frente 192034098 Santiago de Cuba province, unknown municipality 192035001 Manuel Tames, Guantánamo 192035002 Baracoa 192035003 San Antonio del Sur, Yateras 192035004 El Salvador 192035005 Maisí 192035006 Caimanera, Niceto Pérez 192035007 Imías 192035098 Guantánamo province, unknown municipality 192040001 Isla de la Juventud 192097097 Abroad 192098098 Unknown Nativity and Birthplace Variables -- PERSON Race or color Race identifies the racial group with which a person identified himself or herself, or to which an enumerator assigned them. Determinations of race are based largely on appearance or ancestral place of origin. 10 White 20 Black 21 Black African 22 Black Caribbean 23 Afro-Ecuadorian 24 Other Black 30 Indigenous 31 American Indian 32 Latin American Indian 40 Asian 41 Chinese 42 Japanese 43 Korean 44 Vietnamese 45 Filipino 46 Indian 47 Pakistani 48 Bangladeshi 49 Other Asian 50 Mixed race 51 Brown (Brazil) 52 Mestizo (Indigenous and White) 53 Mulatto (Black and White) 54 Coloured (South Africa) 56 Afro-Indigenous 55 Two or more races 60 Other 61 Montubio (Ecuador) 99 Unknown Ethnicity and Language Variables -- PERSON Educational attainment, international recode [general version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 0 NIU (not in universe) 1 Less than primary completed 2 Primary completed 3 Secondary completed 4 University completed 9 Unknown Education Variables -- PERSON Educational attainment, international recode [detailed version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 000 NIU (not in universe) 100 Less than primary completed (n.s.) 110 No schooling 120 Some primary completed 130 Primary (4 yrs) completed 211 Primary (5 yrs) completed 212 Primary (6 yrs) completed 221 Lower secondary general completed 222 Lower secondary technical completed 311 Secondary, general track completed 312 Some college completed 320 Secondary or post-secondary technical completed 321 Secondary, technical track completed 322 Post-secondary technical education 400 University completed 999 Unknown/missing Education Variables -- PERSON Educational attainment, Cuba EDUCCU indicates the person's educational attainment in Cuba in terms of the level of schooling completed. 00 NIU (not in universe) 10 None 20 Primary 21 Primary, grade 1 22 Primary, grade 2 23 Primary, grade 3 24 Primary, grade 4 25 Primary, grade 5 26 Primary, grade 6 30 Lower secondary: basic 31 Basic, grade 7 32 Basic, grade 8 33 Basic, grade 9 40 Lower secondary: skilled manual 41 Skilled manual, grade 1 42 Skilled manual, grade 2 43 Skilled manual, grade 3 44 Skilled manual, grade 4 45 Skilled manual, grade 5 50 Upper secondary: pre-university 51 Pre-university, grade 10 52 Pre-university, grade 11 53 Pre-university, grade 12 60 Upper secondary: mid-level technical 61 Mid-level technical, grade 1 62 Mid-level technical, grade 2 63 Mid-level technical, grade 3 64 Mid-level technical, grade 4 65 Mid-level technical, grade 5 70 Upper secondary: mid-level teaching 71 Mid-level teaching, grade 1 72 Mid-level teaching, grade 2 73 Mid-level teaching, grade 3 74 Mid-level teaching, grade 4 75 Mid-level teaching, grade 5 80 Higher education 81 Higher education, grade 1 82 Higher education, grade 2 83 Higher education, grade 3 84 Higher education, grade 4 85 Higher education, grade 5 86 Higher education, grade 6 87 Higher education, grade 7 99 Unknown Education Variables -- PERSON Activity status (employment status) [general version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 0 NIU (not in universe) 1 Employed 2 Unemployed 3 Inactive 9 Unknown/missing Work Variables -- PERSON Activity status (employment status) [detailed version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 000 NIU (not in universe) 100 Employed, not specified 110 At work 111 At work, and 'student' 112 At work, and 'housework' 113 At work, and 'seeking work' 114 At work, and 'retired' 115 At work, and 'no work' 116 At work, and other situation 117 At work, family holding, not specified 118 At work, family holding, not agricultural 119 At work, family holding, agricultural 120 Have job, not at work in reference period 130 Armed forces 131 Armed forces, at work 132 Armed forces, not at work in reference period 133 Military trainee 140 Marginally employed 200 Unemployed, not specified 201 Unemployed 6 or more months 202 Worked fewer than 6 months, permanent job 203 Worked fewer than 6 months, temporary job 210 Unemployed, experienced worker 220 Unemployed, new worker 230 No work available 240 Inactive unemployed 300 Inactive (not in labor force) 301 Unavailable jobseekers 302 Available potential jobseekers 310 Housework 320 Health reasons, unable to work, or disabled 321 Permanent disability 322 Temporary illness 323 Disabled or imprisoned 330 In school 340 Retirees and living on rent 341 Living on rents 342 Living on rents or pension 343 Retirees/pensioners 344 Retired 345 Pensioner 346 Non-retirement pension 347 Disability pension 348 Retired without benefits 350 Elderly 351 Elderly or disabled 360 Institutionalized 361 Prisoner 370 Intermittent worker 371 Not working, seasonal worker 372 Not working, occasional worker 380 Other income recipient 390 Inactive, other reasons 391 Too young to work 392 Dependent 999 Unknown/missing Work Variables -- PERSON Labor force participation LABFORCE is a dichotomous variable identifying whether a person participated in the labor force. Labor force participation generally means working or seeking work within a specified reference period. For most samples LABFORCE is a recode of EMPSTAT (employment status). A consistent lower age universe of 15 or older has been applied to increase comparability across samples. Full detail is retained in EMPSTAT, which should be used for any study of child labor. 1 No, not in the labor force 2 Yes, in the labor force 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Occupation, ISCO general OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money. 01 Legislators, senior officials and managers 02 Professionals 03 Technicians and associate professionals 04 Clerks 05 Service workers and shop and market sales 06 Skilled agricultural and fishery workers 07 Crafts and related trades workers 08 Plant and machine operators and assemblers 09 Elementary occupations 10 Armed forces 11 Other occupations, unspecified or n.e.c. 97 Response suppressed 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Occupation, unrecoded OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census. To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses. OCC is a 4-digit numeric variable. Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Argentina 1970 - see Variable: AR1970A_OCC3 - Occupation [3 digit] Argentina 1980 - see Variable: AR1980A_OCC - Occupation Argentina 1991 - see Variable: AR1991A_OCC - Occupation Argentina 2001 - see Variable: AR2001A_OCC4 - Occupation (4-digits) Armenia 2011 - see Variable: AM2011A_OCC - Occupation Austria 1971 - see Variable: AT1971A_OCCSM - Occupation of supporter: sub-major groups Austria 1981 - see Variable: AT1981A_OCCSM - Occupation of supporter: sub-major groups Austria 1991 - see Variable: AT1991A_OCCSM - Occupation of supporter: sub-major groups Austria 2001 - see Variable: AT2001A_OCCSM - Occupation of supporter: sub-major groups Belarus 1999 - see Variable: BY1999A_OCC2 - Occupation, 2 digits Belarus 2009 - see Variable: BY2009A_OCC - Occupation Benin 1979 - see Variable: BJ1979A_OCC - Occupation (2-digits) Benin 1992 - see Variable: BJ1992A_OCC3 - Occupation (3-digits) Benin 2002 - see Variable: BJ2002A_OCC - Occupation (3-digits) Benin 2013 - see Variable: BJ2013A_OCC - Occupation (3-digit) Bolivia 1976 - see Variable: BO1976A_OCC2 - Occupation, 2 digits Bolivia 1992 - see Variable: BO1992A_OCC - Occupation Bolivia 2001 - see Variable: BO2001A_OCC - Occupation, 3 digits Bolivia 2012 - see Variable: BO2012A_OCC2 - Occupation (3 digit) Botswana 1981 - see Variable: BW1981A_OCC - Occupation Botswana 1991 - see Variable: BW1991A_OCC - Occupation (last 30 days) Botswana 2001 - see Variable: BW2001A_OCC - Occupation in the past 7 days, 3 digit Botswana 2011 - see Variable: BW2011A_OCC - Occupation, 3-digits Brazil 1960 - see Variable: BR1960A_USUALOCC - Usual occupation Brazil 1970 - see Variable: BR1970A_MAINOCC - Principal occupation Brazil 1980 - see Variable: BR1980A_OCC - Occupation Brazil 1991 - see Variable: BR1991A_OCC - Occupation Brazil 2000 - see Variable: BR2000A_OCC - Occupation, 4 digits Brazil 2010 - see Variable: BR2010A_OCC - Occupation held from July 25 to July 31, 2010 Burkina Faso 1985 - see Variable: BF1985A_OCC - Principal occupation Burkina Faso 1996 - see Variable: BF1996A_OCC - Principal occupation Cambodia 1998 - see Variable: KH1998A_OCC - Occupation Cambodia 2004 - see Variable: KH2004A_OCC3 - Occupation (3-digits) Cambodia 2008 - see Variable: KH2008A_OCC - Occupation Cambodia 2013 - see Variable: KH2013A_OCC - Occupation (3-digits) Cambodia 2019 - see Variable: KH2019A_OCC1 - Occupation, 1-digit Cameroon 1976 - see Variable: CM1976A_OCC2 - Occupation (2 digits) Cameroon 2005 - see Variable: CM2005A_OCC - Occupation Canada 1971 - see Variable: CA1971A_OCC - Occupation Canada 1981 - see Variable: CA1981A_OCC - Occupation (1981 classification basis) Canada 1991 - see Variable: CA1991A_OCC80 - Occupation (1980 classification basis) Canada 2001 - see Variable: CA2001A_NOCS01P - Occupation (2001 national occupational classification for statistics) Canada 2011 - see Variable: CA2011A_OCC - Occupation Chile 1960 - see Variable: CL1960A_OCC - Occupation Chile 1970 - see Variable: CL1970A_OCC3 - Occupation (3-digit) Chile 1982 - see Variable: CL1982A_OCC3 - Occupation (3-digit) Chile 1992 - see Variable: CL1992A_OCC3 - Occupation (3-digit) Chile 2002 - see Variable: CL2002A_OCC - Occupation China 1982 - see Variable: CN1982A_OCC - Occupation China 1990 - see Variable: CN1990A_OCC - Occupation China 2000 - see Variable: CN2000A_OCC - Occupation (2-digit) Colombia 1964 - see Variable: CO1964A_OCC2 - Occupation (COTA, 4 digits) Colombia 1973 - see Variable: CO1973A_OCC - Occupation last week Costa Rica 1973 - see Variable: CR1973A_OCC3 - Occupation, 3 digits Costa Rica 1984 - see Variable: CR1984A_OCC - Occupation, 3 digits Costa Rica 2000 - see Variable: CR2000A_OCC3 - Occupation, 3 digits Costa Rica 2011 - see Variable: CR2011A_OCC - Occupation, 2-digit Cuba 2002 - see Variable: CU2002A_OCC - Occupation Cuba 2012 - see Variable: CU2012A_OCC3 - Main occupation (3-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_OCC2 - Current occupation (2-digit) Dominican Republic 1960 - see Variable: DO1960A_OCC - Occupation Dominican Republic 1970 - see Variable: DO1970A_OCC1 - Current occupation, 3 digits Dominican Republic 1981 - see Variable: DO1981A_OCC - Occupation Dominican Republic 2002 - see Variable: DO2002A_OCC - Occupation Dominican Republic 2010 - see Variable: DO2010A_OCC - Occupation Ecuador 1962 - see Variable: EC1962A_OCC - Occupation Ecuador 1974 - see Variable: EC1974A_OCC3 - Occupation, three digits Ecuador 1982 - see Variable: EC1982A_OCC3 - Occupation, 3 digits Ecuador 1990 - see Variable: EC1990A_OCC3 - Occupation, 3 digits Ecuador 2001 - see Variable: EC2001A_OCC - Occupation, 3 digits Ecuador 2010 - see Variable: EC2010A_OCC3 - Occupation (3 digits, ISCO 08) Egypt 1986 - see Variable: EG1986A_OCC3 - Occupation (3-digit) Egypt 2006 - see Variable: EG2006A_OCC - Primary occupation, 3-digit El Salvador 1992 - see Variable: SV1992A_OCC - Occupation (3-digit) El Salvador 2007 - see Variable: SV2007A_OCC3DIG - Occupation (3-digit) Ethiopia 1984 - see Variable: ET1984A_OCC2 - Occupation (2-digit) Ethiopia 1994 - see Variable: ET1994A_OCC - Occupation Fiji 1976 - see Variable: FJ1976A_OCC - Occupation Fiji 1986 - see Variable: FJ1986A_OCC - Occupation Fiji 1996 - see Variable: FJ1996A_OCC3 - Occupation (3 digits) Fiji 2007 - see Variable: FJ2007A_OCC3 - Occupation, 3 digits Fiji 2014 - see Variable: FJ2014A_OCC3 - Occupation (3 digits) Finland 2010 - see Variable: FI2010A_OCC - Occupation France 1962 - see Variable: FR1962A_SOCCUP - SAPHIR occupation France 1968 - see Variable: FR1968A_SOCC - SAPHIR occupation France 1975 - see Variable: FR1975A_SOCC - SAPHIR occupation France 1982 - see Variable: FR1982A_SOCC - SAPHIR occupation France 1990 - see Variable: FR1990A_SOCC - Saphir occupation France 1999 - see Variable: FR1999A_OCC - Occupation, ISCO France 2006 - see Variable: FR2006A_PROF486 - Detailed profession (4-digit) France 2011 - see Variable: FR2011A_PROF - Profession, 486 categories Germany 1970 - see Variable: DE1970A_OCC - Occupation Germany 1981 - see Variable: DE1981A_OCC - Occupation Germany 1987 - see Variable: DE1987A_OCC - Occupation Ghana 1984 - see Variable: GH1984A_OCC2 - Occupation, 2 digits Ghana 2000 - see Variable: GH2000A_OCC - Occupation Ghana 2010 - see Variable: GH2010A_OCC - Occupation (major groups) Greece 1971 - see Variable: GR1971A_OCC - Occupation Greece 1981 - see Variable: GR1981A_OCC - Occupation Greece 1991 - see Variable: GR1991A_OCC - Occupation Greece 2001 - see Variable: GR2001A_OCC - Occupation Greece 2011 - see Variable: GR2011A_OCC - Occupation Guatemala 1964 - see Variable: GT1964A_OCC3 - Occupation (3-digits) Guatemala 1973 - see Variable: GT1973A_OCC3 - Principal occupation (3-digits) Guatemala 1981 - see Variable: GT1981A_OCC3 - Principal occupation (3-digits) Guatemala 1994 - see Variable: GT1994A_OCC - Principal occupation (1-digit) Guatemala 2002 - see Variable: GT2002A_OCC3 - Principal occupation (3-digits) Guinea 1983 - see Variable: GN1983A_OCC2 - Occupation, 2 digits Guinea 1996 - see Variable: GN1996A_OCC - Occupation Guinea 2014 - see Variable: GN2014A_OCC - Occupation (3-digit) Haiti 1982 - see Variable: HT1982A_OCC - Main occupation or profession Haiti 2003 - see Variable: HT2003A_OCC2 - Occupation, 3 digits Honduras 1961 - see Variable: HN1961A_OCC - Occupation (2-digits) Honduras 1974 - see Variable: HN1974A_OCC2 - Occupation (3-digits) Honduras 1988 - see Variable: HN1988A_OCC4 - Occupation (4-digits) Honduras 2001 - see Variable: HN2001A_OCC - Occupation (4-digit) Honduras 2013 - see Variable: HN2013A_OCC3 - Occupation (3-digit) Hungary 1970 - see Variable: HU1970A_OCC - Occupation Hungary 1980 - see Variable: HU1980A_OCC - Occupation, scope of activity Hungary 1990 - see Variable: HU1990A_OCC - Occupation Hungary 2001 - see Variable: HU2001A_OCC - Occupation Hungary 2011 - see Variable: HU2011A_OCC - Occupation Indonesia 1971 - see Variable: ID1971A_OCC - Occupation Indonesia 1976 - see Variable: ID1976A_OCC - Primary occupation during past week Indonesia 1980 - see Variable: ID1980A_OCC - Primary occupation during the previous week (3 digit version) Indonesia 1985 - see Variable: ID1985A_OCC - Primary occupation Indonesia 1990 - see Variable: ID1990A_OCC - Main occupation last week Indonesia 1995 - see Variable: ID1995A_OCC - Occupation Indonesia 2005 - see Variable: ID2005A_OCC - Occupation Iran 2006 - see Variable: IR2006A_OCC4 - Occupation Iran 2011 - see Variable: IR2011A_OCC - Occupation (3-digit) Iraq 1997 - see Variable: IQ1997A_OCC - Occupation Ireland 1971 - see Variable: IE1971A_OCC - Occupation Ireland 1981 - see Variable: IE1981A_OCC - Occupation Ireland 1986 - see Variable: IE1986A_OCC - Occupation group Ireland 1991 - see Variable: IE1991A_OCC - Occupation group Ireland 1996 - see Variable: IE1996A_OCC - Occupation Ireland 2002 - see Variable: IE2002A_OCC - Occupation Ireland 2006 - see Variable: IE2006A_OCC - Occupation group Ireland 2011 - see Variable: IE2011A_OCC - Occupation (shuffled) Ireland 2016 - see Variable: IE2016A_OCC - Occupation (groups) Israel 1972 - see Variable: IL1972A_OCC - Occupation Israel 1983 - see Variable: IL1983A_OCC - Occupation Israel 1995 - see Variable: IL1995A_OCC - Occupation Israel 2008 - see Variable: IL2008A_OCC - Occupation Italy 2001 - see Variable: IT2001A_OCC - Occupation Italy 2011 - see Variable: IT2011A_WKTYPE - Type of work Jamaica 1982 - see Variable: JM1982A_OCC - Occupation during past week / in last job Jamaica 1991 - see Variable: JM1991A_OCC - Occupation during past week/in last job Jamaica 2001 - see Variable: JM2001A_OCC3 - Occupation 3-digit Jordan 2004 - see Variable: JO2004A_OCC3 - Major current occupation (3-digit) Kenya 1989 - see Variable: KE1989A_OCC4 - Occupation, 4 digits Kenya 2019 - see Variable: KE2019A_OCC3 - Occupation (3-digit) Kyrgyzstan 1999 - see Variable: KG1999A_OCC - Main activity Laos 1995 - see Variable: LA1995A_OCC1 - Main occupation in the last 12 months (1-digit) Lesotho 1996 - see Variable: LS1996A_OCC - Occupation (2-digits) Lesotho 2006 - see Variable: LS2006A_OCC - Occupation (2-digits) Liberia 1974 - see Variable: LR1974A_OCC2 - Occupation (2-digit) Liberia 2008 - see Variable: LR2008A_OCC - Occupation Malawi 1987 - see Variable: MW1987A_OCC2 - Occupation, 2 digit Malawi 1998 - see Variable: MW1998A_OCC2 - Occupation, 2-digit Malawi 2008 - see Variable: MW2008A_OCC2 - Occupation (2 digits) Malawi 2018 - see Variable: MW2018A_OCC1 - Main occupation (1-digit) Malaysia 1970 - see Variable: MY1970A_OCC - Occupation last week Malaysia 1980 - see Variable: MY1980A_OCC3 - Principal occupation last week (3 digits) Malaysia 1991 - see Variable: MY1991A_OCC3 - Principal occupation (3 digits) Malaysia 2000 - see Variable: MY2000A_OCC3 - Occupation -- 3 digits Mali 1987 - see Variable: ML1987A_OCC - Occupation last month Mali 1998 - see Variable: ML1998A_OCC - Main occupation Mali 2009 - see Variable: ML2009A_OCC - Principal occupation Mauritius 1990 - see Variable: MU1990A_OCC3 - Occupation (3-digit) Mauritius 2000 - see Variable: MU2000A_OCC4 - Occupation (4 digit) Mauritius 2011 - see Variable: MU2011A_OCC4 - Occupation (4-digit) Mexico 1960 - see Variable: MX1960A_OCC2 - Principal occupation, 2 digits Mexico 1970 - see Variable: MX1970A_OCC3 - Occupation 3 digit Mexico 1990 - see Variable: MX1990A_OCC - Occupation, 4 digits Mexico 1995 - see Variable: MX1995A_OCC - Occupation Mexico 2000 - see Variable: MX2000A_OCC4 - Occupation, 4 digits Mexico 2010 - see Variable: MX2010A_OCC - Occupation or trade Mexico 2015 - see Variable: MX2015A_OCC - Occupation Mexico 2020 - see Variable: MX2020A_OCC3 - Occupation (3-digits) Mongolia 2000 - see Variable: MN2000A_OCC - Occupation Mongolia 2010 - see Variable: MN2010A_OCC3 - Occupation 3 digits (ISCO-2008) Mongolia 2020 - see Variable: MN2020A_OCC3 - Occupation (3-digit) Morocco 1982 - see Variable: MA1982A_OCC3 - Occupation (3-digit) Morocco 1994 - see Variable: MA1994A_OCC3 - Occupation, 3-digit Morocco 2004 - see Variable: MA2004A_OCC3 - Occupation (3-digit) Morocco 2014 - see Variable: MA2014A_OCC2 - Occupation (2-digit) Mozambique 1997 - see Variable: MZ1997A_OCC2 - Occupation 3-digit Mozambique 2007 - see Variable: MZ2007A_OCC - Occupation Mozambique 2017 - see Variable: MZ2017A_OCC3 - Main occupation (3-digits ISCO 2008) Myanmar 2014 - see Variable: MM2014A_OCC - Occupation Nepal 2001 - see Variable: NP2001A_OCC - Usual occupation Nepal 2011 - see Variable: NP2011A_OCC1 - Occupation (1-digit) Netherlands 1960 - see Variable: NL1960A_OCC - Occupation Netherlands 1971 - see Variable: NL1971A_OCC - Occupation Netherlands 2001 - see Variable: NL2001A_OCC - Occupation Netherlands 2011 - see Variable: NL2011A_OCC - Occupation (1-digit) Nicaragua 1971 - see Variable: NI1971A_OCC - Occupation Nicaragua 1995 - see Variable: NI1995A_OCC - Occupation (ISCO 88, 3 digits) Nicaragua 2005 - see Variable: NI2005A_OCC3 - Occupation (ISCO 88, 3 digits) Pakistan 1973 - see Variable: PK1973A_OCC3 - Occupation Palestine 1997 - see Variable: PS1997A_OCC - Main occupation Palestine 2007 - see Variable: PS2007A_OCC - Main occupation Palestine 2017 - see Variable: PS2017A_OCC - Occupation Panama 1960 - see Variable: PA1960A_OCC4 - Occupation (4-digit) Panama 1970 - see Variable: PA1970A_OCC2 - Occupation, 2-digit Panama 1980 - see Variable: PA1980A_OCC2 - Occupation (3-digit) Panama 1990 - see Variable: PA1990A_OCC - Occupation Panama 2000 - see Variable: PA2000A_OCC - Occupation Panama 2010 - see Variable: PA2010A_OCC - Occupation, 3 digits Papua New Guinea 1980 - see Variable: PG1980A_OCC - Occupation, 3 digits Papua New Guinea 1990 - see Variable: PG1990A_OCC - Occupation Papua New Guinea 2000 - see Variable: PG2000A_OCC - Occupation (4-digit) Paraguay 1962 - see Variable: PY1962A_OCC1 - Occupation (1-digit) Paraguay 1972 - see Variable: PY1972A_OCC3 - Occupation (3 digits) Paraguay 1982 - see Variable: PY1982A_OCC3 - Occupation, 3-digits Paraguay 1992 - see Variable: PY1992A_OCC2 - Main occupation, 3 digits Paraguay 2002 - see Variable: PY2002A_OCC - Occupation (4 digits) Peru 1993 - see Variable: PE1993A_OCC - Occupation (3 digits) Peru 2007 - see Variable: PE2007A_OCC - Main occupation last week (3 digits) Peru 2017 - see Variable: PE2017A_OCC1 - Occupation (1-digit, in primary job last week) Philippines 1990 - see Variable: PH1990A_OCC - Occupation Philippines 2000 - see Variable: PH2000A_OCC - Occupation Philippines 2010 - see Variable: PH2010A_OCC3 - Usual occupation (3-digit) Poland 1978 - see Variable: PL1978A_OCC - Occupation Poland 1988 - see Variable: PL1988A_OCC - Main occupation Poland 2002 - see Variable: PL2002A_OCC - Occupation Portugal 1981 - see Variable: PT1981A_OCC - Main occupation Portugal 1991 - see Variable: PT1991A_OCC - Main occupation Portugal 2001 - see Variable: PT2001A_OCC - Main occupation Portugal 2011 - see Variable: PT2011A_OCC - Main occupation Puerto Rico 1970 - see Variable: PR1970A_OCC - Occupation Puerto Rico 1980 - see Variable: PR1980A_OCC - Occupation Puerto Rico 1990 - see Variable: PR1990A_OCC - Occupation Puerto Rico 2000 - see Variable: PR2000A_OCC - Occupation Puerto Rico 2005 - see Variable: PR2005A_OCC - Occupation Puerto Rico 2010 - see Variable: PR2010A_OCC - Occupation Puerto Rico 2015 - see Variable: PR2015A_OCC - Occupation last week Puerto Rico 2020 - see Variable: PR2020A_OCC2010 - Occupation last week, 2010 basis Romania 1992 - see Variable: RO1992A_OCC - Occupation Romania 2002 - see Variable: RO2002A_OCC4 - Occupation, 4 digits Romania 2011 - see Variable: RO2011A_OCC - Occupation (unrecoded) Rwanda 2002 - see Variable: RW2002A_OCC - Occupation Rwanda 2012 - see Variable: RW2012A_OCC2 - Occupation (3-digit) Saint Lucia 1991 - see Variable: LC1991A_OCC - Occupation Senegal 1988 - see Variable: SN1988A_OCC - Occupation Senegal 2002 - see Variable: SN2002A_OCC3 - Occupation, 3 digits Senegal 2013 - see Variable: SN2013A_OCC3 - Profession or occupation (3-digit) Sierra Leone 2004 - see Variable: SL2004A_OCC - Occupation Sierra Leone 2015 - see Variable: SL2015A_OCC - Main occupation in the past 12 months Slovakia 1991 - see Variable: SK1991A_OCC - Occupation (2-digit) Slovakia 2001 - see Variable: SK2001A_OCC2 - Occupation (2-digit) Slovakia 2011 - see Variable: SK2011A_OCC2 - Occupation (2-digit) Slovenia 2002 - see Variable: SI2002A_OCC - Occupation South Africa 1996 - see Variable: ZA1996A_OCC3 - Occupation, 3 digits South Africa 2001 - see Variable: ZA2001A_OCC - Occupation, 3 digit South Africa 2007 - see Variable: ZA2007A_OCC3 - Occupation, 3 digits South Sudan 2008 - see Variable: SS2008A_OCC - Occupation Spain 1981 - see Variable: ES1981A_OCC - Occupation Spain 1991 - see Variable: ES1991A_OCC - Occupation Spain 2001 - see Variable: ES2001A_OCC - Occupation Spain 2011 - see Variable: ES2011A_OCC - Occupation, 2-digits Sudan 2008 - see Variable: SD2008A_OCC - Occupation Suriname 2004 - see Variable: SR2004A_OCC - Occupation Suriname 2012 - see Variable: SR2012A_OCC - Occupation (groups) Switzerland 1970 - see Variable: CH1970A_ISCO - Present occupation (ISCO) Switzerland 1980 - see Variable: CH1980A_ISCO - Present occupation (ISCO-COM) Switzerland 1990 - see Variable: CH1990A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2000 - see Variable: CH2000A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2011 - see Variable: CH2011A_OCC - Current occupation (1-digit, ISCO-08) Tanzania 1988 - see Variable: TZ1988A_OCC - Occupation Tanzania 2002 - see Variable: TZ2002A_OCC - Occupation last week Tanzania 2012 - see Variable: TZ2012A_OCC - Occupation Thailand 1970 - see Variable: TH1970A_OCC - Principal occupation last year Thailand 1980 - see Variable: TH1980A_OCC - Occupation last year Thailand 1990 - see Variable: TH1990A_OCC3 - Occupation last year Thailand 2000 - see Variable: TH2000A_OCC3 - Occupation last year, 3 digits Togo 1960 - see Variable: TG1960A_OCC - Occupation (3-digits) Togo 1970 - see Variable: TG1970A_OCC3 - Occupation (3-digits) Togo 2010 - see Variable: TG2010A_OCC2 - Occupation (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_OCC - Main occupation (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_OCC - Main occupation during previous week (three digits) Trinidad and Tobago 2000 - see Variable: TT2000A_OCC - Main occupation (3 digits) Turkey 1985 - see Variable: TR1985A_OCC2 - Occupation (2-digit) Turkey 1990 - see Variable: TR1990A_OCC2 - Current occupation (2 digits) Turkey 2000 - see Variable: TR2000A_OCC2 - Current occupation, 2 digit Uganda 1991 - see Variable: UG1991A_OCC - Occupation, 3 digits Uganda 2002 - see Variable: UG2002A_OCC - Occupation, 3 digits Uganda 2014 - see Variable: UG2014A_OCC - Occupation (2-digits) United Kingdom 1961 - see Variable: UK1961A_OCC - Occupation United Kingdom 1971 - see Variable: UK1971A_OCC - Occupation United Kingdom 1991 - see Variable: UK1991A_OCC - Occupational classification United Kingdom 2001 - see Variable: UK2001A_OCC3 - Standard occupational classification 2000-minor United States 1960 - see Variable: US1960A_OCC - Occupation United States 1970 - see Variable: US1970A_OCC - Occupation United States 1980 - see Variable: US1980A_OCC - Occupation United States 1990 - see Variable: US1990A_OCC - Occupation United States 2000 - see Variable: US2000A_OCC - Occupation United States 2005 - see Variable: US2005A_OCC2000M - Occupation, 2000 basis, modal category assignment United States 2010 - see Variable: US2010A_OCC - Occupation United States 2015 - see Variable: US2015A_OCC - Occupation last week United States 2020 - see Variable: US2020A_OCC - Occupation last week Uruguay 1963 - see Variable: UY1963A_OCC2 - Primary occupation [2-digit] Uruguay 1975 - see Variable: UY1975A_OCC - Occupation (COTA, 3 digits) Uruguay 1985 - see Variable: UY1985A_OCC - Occupation during the past week Uruguay 1996 - see Variable: UY1996A_OCC - Occupation (ISCO 88, 3 digits) Uruguay 2006 - see Variable: UY2006A_OCC3 - Occupation (ISCO-88, 3 digits) Venezuela 1981 - see Variable: VE1981A_OCC3 - Occupation, 3 digits Venezuela 1990 - see Variable: VE1990A_OCC - Occupation, 3 digits Venezuela 2001 - see Variable: VE2001A_OCC - Occupation Vietnam 1989 - see Variable: VN1989A_OCC2 - Occupation, 2 digits Vietnam 1999 - see Variable: VN1999A_OCC3 - Occupation, 3 digit Vietnam 2009 - see Variable: VN2009A_OCC - Occupation Vietnam 2019 - see Variable: VN2019A_OCC1 - Occupation, 1 digit Zambia 1990 - see Variable: ZM1990A_OCC - Occupation Zambia 2000 - see Variable: ZM2000A_OCC - Main occupation last 12 months, 3 digits Zambia 2010 - see Variable: ZM2010A_OCC2 - Main occupation last 12 months, 3 digits Zimbabwe 2012 - see Variable: ZW2012A_OCC - Occupation (3-digits) Work Variables -- PERSON Occupation, ISCO-1988, 3-digit ISCO88A provides the 3-digit occupation code for the respondent using the ISCO-1988 occupation classification. 010 Armed forces 111 Legislators 112 Senior government officials 113 Traditional chiefs and heads of villages 114 Senior officials of special-interest organizations 121 Directors and chief executives 122 Production and operations department managers 123 Other department managers 131 General managers 199 Legislators, senior officials and managers not elsewhere classified 211 Physicists, chemists and related professionals 212 Mathematicians, statisticians and related professionals 213 Computing professionals 214 Architects, engineers and related professionals 221 Life science professionals 222 Health professionals (except nursing) 223 Nursing and midwifery professionals 231 College, university and higher education teaching professionals 232 Secondary education teaching professionals 233 Primary and pre-primary education teaching professionals 234 Special education teaching professionals 235 Other teaching professionals 241 Business professionals 242 Legal professionals 243 Archivists, librarians and related information professionals 244 Social science and related professionals 245 Writers and creative or performing artists 246 Religious professionals 299 Professionals no elsewhere classified 311 Physical and engineering science technicians 312 Computer associate professionals 313 Optical and electronic equipment operators 314 Ship and aircraft controllers and technicians 315 Safety and quality inspectors 321 Life science technicians and related associate professionals 322 Modern health associate professionals (except nursing) 323 Nursing and midwifery associate professionals 324 Traditional medicine practitioners and faith healers 331 Primary education teaching associate professionals 332 Pre-primary education teaching associate professionals 333 Special education teaching associate professionals 334 Other teaching associate professionals 341 Finance and sales associate professionals 342 Business services agents and trade brokers 343 Administrative associate professionals 344 Customs, tax and related government associate professionals 345 Police inspectors and detectives 346 Social work associate professionals 347 Artistic, entertainment and sports associate professionals 348 Religious associate professionals 399 Technicians and associate professionals not elsewhere classified 411 Secretaries and keyboard-operating clerks 412 Numerical clerks 413 Material-recording and transport clerks 414 Library, mail and related clerks 419 Other office clerks 421 Cashiers, tellers and related clerks 422 Client information clerks 499 Clerks not elsewhere classified 511 Travel attendants and related workers 512 Housekeeping and restaurant services workers 513 Personal care and related workers 514 Other personal services workers 515 Astrologers, fortune-tellers and related workers 516 Protective services workers 521 Fashion and other models 522 Shop salespersons and demonstrators 523 Stall and market salespersons 599 Service workers and shop and market sales workers not elsewhere classified 611 Market gardeners and crop growers 612 Market-oriented animal producers and related workers 613 Market-oriented crop and animal producers 614 Forestry and related workers 615 Fishery workers, hunters and trappers 621 Subsistence agricultural and fishery workers 699 Skilled agricultural and fishery workers not elsewhere classified 711 Miners, shotfirers, stone cutters and carvers 712 Building frame and related trades workers 713 Building finishers and related trades workers 714 Painters, building structure cleaners and related trades workers 721 Metal moulders, welders, sheet-metal workers, structural- metal preparers, and related trades workers 722 Blacksmiths, tool-makers and related trades workers 723 Machinery mechanics and fitters 724 Electrical and electronic equipment mechanics and fitters 731 Precision workers in metal and related materials 732 Potters, glass-makers and related trades workers 733 Handicraft workers in wood, textile, leather and related materials 734 Printing and related trades workers 741 Food processing and related trades workers 742 Wood treaters, cabinet-makers and related trades workers 743 Textile, garment and related trades workers 744 Pelt, leather and shoemaking trades workers 799 Craft and related trade workers not elsewhere classified 811 Mining- and mineral-processing-plant operators 812 Metal-processing-plant operators 813 Glass, ceramics and related plant operators 814 Wood-processing- and papermaking-plant operators 815 Chemical-processing-plant operators 816 Power-production and related plant operators 817 Automated-assembly-line and industrial-robot operators 821 Metal- and mineral-products machine operators 822 Chemical-products machine operators 823 Rubber- and plastic-products machine operators 824 Wood-products machine operators 825 Printing-, binding- and paper-products machine operators 826 Textile-, fur- and leather-products machine operators 827 Food and related products machine operators 828 Assemblers 829 Other machine operators and assemblers 831 Locomotive-engine drivers and related workers 832 Motor-vehicle drivers 833 Agricultural and other mobile-plant operators 834 Ships' deck crews and related workers 899 Other plant and machine operaters and assemblers not elsewhere classified 911 Street vendors and related workers 912 Shoe cleaning and other street services elementary occupations 913 Domestic and related helpers, cleaners and launderers 914 Building caretakers, window and related cleaners 915 Messengers, porters, doorkeepers and related workers 916 Garbage collectors and related labourers 921 Agricultural, fishery and related labourers 931 Mining and construction labourers 932 Manufacturing labourers 933 Transport labourers and freight handlers 989 Elementary occupations not elsewhere classified 990 Other workers, not elsewhere classified 998 Unknown 999 NIU (not in universe) Work Variables -- PERSON Industry, general recode INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples. "Industry" refers to the activity or product of the establishment or sector in which a person worked. 000 NIU (not in universe) 010 Agriculture, fishing, and forestry 020 Mining and extraction 030 Manufacturing 040 Electricity, gas, water and waste management 050 Construction 060 Wholesale and retail trade 070 Hotels and restaurants 080 Transportation, storage, and communications 090 Financial services and insurance 100 Public administration and defense 110 Services, not specified 111 Business services and real estate 112 Education 113 Health and social work 114 Other services 120 Private household services 130 Other industry, n.e.c. 998 Response suppressed 999 Unknown Work Variables -- PERSON Industry, unrecoded "Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International. IND is a 5-digit numeric variable. Some samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Argentina 1970 - see Variable: AR1970A_IND4 - Industry [4 digit] Argentina 1980 - see Variable: AR1980A_IND - Industry Argentina 1991 - see Variable: AR1991A_IND - Industry Argentina 2001 - see Variable: AR2001A_IND - Industry Armenia 2001 - see Variable: AM2001A_IND - Principal activity at place of work Armenia 2011 - see Variable: AM2011A_IND - Industry Austria 1971 - see Variable: AT1971A_INDBR - Economic activity of supporter: branch Austria 1981 - see Variable: AT1981A_INDBR - Economic activity of supporter: branch Austria 1991 - see Variable: AT1991A_INDBR - Economic activity of supporter: branch Austria 2001 - see Variable: AT2001A_INDBR - Economic activity of supporter: branch Austria 2011 - see Variable: AT2011A_IND - Industry Bangladesh 1991 - see Variable: BD1991A_IND - Industry Bangladesh 2001 - see Variable: BD2001A_IND - Main work field Bangladesh 2011 - see Variable: BD2011A_IND - Industry Belarus 2009 - see Variable: BY2009A_ECONACT - Industry Benin 1979 - see Variable: BJ1979A_IND - Industry (1-digit) Benin 1992 - see Variable: BJ1992A_IND3 - Industry (2-digits) Benin 2002 - see Variable: BJ2002A_IND2 - Industry (2-digits) Benin 2013 - see Variable: BJ2013A_IND3 - Industry (3-digit) Bolivia 1976 - see Variable: BO1976A_IND - Industry Bolivia 1992 - see Variable: BO1992A_IND3 - Activity, 3 digits Bolivia 2001 - see Variable: BO2001A_IND3 - Industry, 3 digits Bolivia 2012 - see Variable: BO2012A_IND2 - Industry (2 digit) Botswana 1981 - see Variable: BW1981A_IND - Industry Botswana 1991 - see Variable: BW1991A_IND - Industry Botswana 2001 - see Variable: BW2001A_IND - Industry Botswana 2011 - see Variable: BW2011A_IND - Industry, 3-digits Brazil 1960 - see Variable: BR1960A_INDUSTRY - Industry Brazil 1970 - see Variable: BR1970A_INDUSTRY - Industry Brazil 1980 - see Variable: BR1980A_INDUSTRY - Industry Brazil 1991 - see Variable: BR1991A_IND - Industry Brazil 2000 - see Variable: BR2000A_IND - Industry, 5 digits Brazil 2010 - see Variable: BR2010A_IND - Industry of work from July 25 to July 31, 2010 Burkina Faso 1996 - see Variable: BF1996A_IND - Branch of activity Cambodia 1998 - see Variable: KH1998A_IND - Industry Cambodia 2004 - see Variable: KH2004A_IND3 - Industry (3-digits) Cambodia 2008 - see Variable: KH2008A_IND - Industry Cambodia 2013 - see Variable: KH2013A_IND - Industry (3-digits) Cambodia 2019 - see Variable: KH2019A_IND3 - Industy (ISIC rev 4, 3-digit) Cameroon 2005 - see Variable: CM2005A_IND - Industry Canada 1971 - see Variable: CA1971A_IND - Industry Canada 1981 - see Variable: CA1981A_IND - Industry (1981 standard industrial classification) Canada 1991 - see Variable: CA1991A_IND80 - Industry (1980 standard industrial classification) Canada 2001 - see Variable: CA2001A_IND80P - Industry (1980 Standard Industrial Classification) Canada 2011 - see Variable: CA2011A_IND - Industry Chile 1960 - see Variable: CL1960A_IND - Industry Chile 1970 - see Variable: CL1970A_IND4 - Industry (4-digit) Chile 1982 - see Variable: CL1982A_IND4 - Industry (4-digit) Chile 1992 - see Variable: CL1992A_IND - Industry Chile 2002 - see Variable: CL2002A_IND - Industry Chile 2017 - see Variable: CL2017A_IND - Industry (1-digit) China 1982 - see Variable: CN1982A_INDUSTRY - Industry China 1990 - see Variable: CN1990A_IND - Industry China 2000 - see Variable: CN2000A_IND - Industry (2-digit) Colombia 1964 - see Variable: CO1964A_IND4 - Industry, 4 digits Colombia 1973 - see Variable: CO1973A_IND - Industry Colombia 1993 - see Variable: CO1993A_IND - Industry Colombia 2005 - see Variable: CO2005A_IND - Industry (2-digit) Costa Rica 1963 - see Variable: CR1963A_IND3 - Industry, 3 digits Costa Rica 1973 - see Variable: CR1973A_IND4 - Industry, 4 digits Costa Rica 1984 - see Variable: CR1984A_IND4 - Industry, 4 digits Costa Rica 2000 - see Variable: CR2000A_IND3 - Industry, 3 digits Costa Rica 2011 - see Variable: CR2011A_IND - Industry 2-digit Cuba 2002 - see Variable: CU2002A_IND - Industry Cuba 2012 - see Variable: CU2012A_IND - Industry Côte d'Ivoire 1988 - see Variable: CI1988A_IND - Industry (1-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_IND2 - Industry sector (detailed) Dominican Republic 1960 - see Variable: DO1960A_IND - Industry Dominican Republic 1970 - see Variable: DO1970A_IND1 - Industry, 3 digits Dominican Republic 1981 - see Variable: DO1981A_IND - Industry (3-digit) Dominican Republic 2002 - see Variable: DO2002A_IND - Industry Dominican Republic 2010 - see Variable: DO2010A_IND - Main activity of business Ecuador 1962 - see Variable: EC1962A_IND3 - Industry, 3 digits Ecuador 1982 - see Variable: EC1982A_IND3 - Industry Ecuador 1990 - see Variable: EC1990A_IND3 - Industry, 3 digits Ecuador 2001 - see Variable: EC2001A_IND - Industry, 3 digits Ecuador 2010 - see Variable: EC2010A_IND3 - Industry (3 digits, ISIC rev 4) Egypt 1986 - see Variable: EG1986A_IND3 - Industry (3-digit) Egypt 1996 - see Variable: EG1996A_IND3 - Industry (ISIC) Egypt 2006 - see Variable: EG2006A_IND - Industry, 3-digit El Salvador 1992 - see Variable: SV1992A_IND - Industry (3-digit) El Salvador 2007 - see Variable: SV2007A_IND3DIG - Industry (3-digit) Ethiopia 1984 - see Variable: ET1984A_IND2 - Industry Ethiopia 1994 - see Variable: ET1994A_IND - Industry Fiji 1966 - see Variable: FJ1966A_IND - Industry Fiji 1976 - see Variable: FJ1976A_IND - Industry Fiji 1986 - see Variable: FJ1986A_IND - Industry 3 digits Fiji 1996 - see Variable: FJ1996A_IND2DIG - Industry (2 digits) Fiji 2007 - see Variable: FJ2007A_IND2 - Industry, 2 digits Fiji 2014 - see Variable: FJ2014A_IND - Industry Finland 2010 - see Variable: FI2010A_IND - Industry France 1962 - see Variable: FR1962A_IND - Industry France 1968 - see Variable: FR1968A_IND41 - Industry, 41 categories France 1975 - see Variable: FR1975A_INDUN - Industry, UNO France 1982 - see Variable: FR1982A_INDUN - Industry, United Nations nomenclature France 1990 - see Variable: FR1990A_IND15 - Industry, 15 categories France 1999 - see Variable: FR1999A_INDCITI - Industry, ISIC France 2006 - see Variable: FR2006A_IND700N - Economic activity in 700 categories (2003 classification) numeric recode France 2011 - see Variable: FR2011A_IND - Industry, 732 categories Germany 1970 - see Variable: DE1970A_IND - Industry Germany 1971 - see Variable: DE1971A_IND - Industry Germany 1981 - see Variable: DE1981A_IND - Industry Germany 1987 - see Variable: DE1987A_IND - Industry Ghana 2000 - see Variable: GH2000A_IND - Industry Ghana 2010 - see Variable: GH2010A_IND - Industry (major groups) Greece 1971 - see Variable: GR1971A_IND - Industry Greece 1981 - see Variable: GR1981A_IND - Industry Greece 1991 - see Variable: GR1991A_IND - Industry Greece 2001 - see Variable: GR2001A_IND - Industry Greece 2011 - see Variable: GR2011A_IND - Industry Guatemala 1964 - see Variable: GT1964A_IND3 - Field of economic activity (3-digits) Guatemala 1973 - see Variable: GT1973A_IND3 - Industry (3-digits) Guatemala 1981 - see Variable: GT1981A_IND3 - Industry (3-digits) Guatemala 1994 - see Variable: GT1994A_IND2 - Field of economic activity (2-digits) Guatemala 2002 - see Variable: GT2002A_IND1 - Field of economic activity (1-digit) Guinea 1983 - see Variable: GN1983A_IND2 - Branch of economic activity, 2 digits Guinea 2014 - see Variable: GN2014A_IND - Industry (3-digit) Haiti 1982 - see Variable: HT1982A_IND - Branch of work Haiti 2003 - see Variable: HT2003A_IND2 - Industry, 3 digits Honduras 1961 - see Variable: HN1961A_IND - Industry (2-digits) Honduras 1974 - see Variable: HN1974A_IND - Industry (3-digits) Honduras 2001 - see Variable: HN2001A_IND - Industry (4-digit) Honduras 2013 - see Variable: HN2013A_IND3 - Economic activity (3-digit) Hungary 2001 - see Variable: HU2001A_IND - Industry, branch of economy Hungary 2011 - see Variable: HU2011A_IND - Industry Indonesia 1971 - see Variable: ID1971A_IND - Industry Indonesia 1976 - see Variable: ID1976A_IND - Industry Indonesia 1980 - see Variable: ID1980A_IND - Industry Indonesia 1985 - see Variable: ID1985A_IND - Industry of primary occupation Indonesia 1990 - see Variable: ID1990A_IND - Industry of main occupation last week Indonesia 1995 - see Variable: ID1995A_IND - Industry Indonesia 2000 - see Variable: ID2000A_IND - Industry of primary occupation Indonesia 2005 - see Variable: ID2005A_IND - Industry Indonesia 2010 - see Variable: ID2010A_IND - Industry Iran 2006 - see Variable: IR2006A_IND4 - Industry Iran 2011 - see Variable: IR2011A_IND - Industry (3-digit) Iraq 1997 - see Variable: IQ1997A_IND - Industry Ireland 1971 - see Variable: IE1971A_IND - Industry Ireland 1981 - see Variable: IE1981A_IND - Industry class Ireland 1986 - see Variable: IE1986A_IND - Industry class Ireland 1991 - see Variable: IE1991A_IND - Industry class Ireland 1996 - see Variable: IE1996A_IND - Industry class Ireland 2002 - see Variable: IE2002A_IND - Industry class Ireland 2006 - see Variable: IE2006A_IND - Industry class Ireland 2011 - see Variable: IE2011A_IND - Industry Ireland 2016 - see Variable: IE2016A_IND - Industry Israel 1972 - see Variable: IL1972A_IND - Industry Israel 1983 - see Variable: IL1983A_IND - Industry Israel 1995 - see Variable: IL1995A_IND - Industry Israel 2008 - see Variable: IL2008A_IND - Branch of economy Italy 2001 - see Variable: IT2001A_IND - Industry Italy 2011 - see Variable: IT2011A_IND - Sector of economic activity Jamaica 1982 - see Variable: JM1982A_IND - Industry or type of business during past week / in last job Jamaica 1991 - see Variable: JM1991A_IND3 - Industry during past week or in last job, 3 digits Jamaica 2001 - see Variable: JM2001A_IND3 - Industry 3-digit Jordan 2004 - see Variable: JO2004A_IND - Major current economic activity of the establishment Kenya 2019 - see Variable: KE2019A_IND1 - Industry, ISIC section Kyrgyzstan 1999 - see Variable: KG1999A_IND - Activity type of an enterprise you are working in Kyrgyzstan 2009 - see Variable: KG2009A_IND - Type of industry, enterprise or organization Laos 1995 - see Variable: LA1995A_IND2 - Main industry in the last 12 months (2-digit) Laos 2005 - see Variable: LA2005A_IND3 - Industry (ISIC 3-digit) Laos 2015 - see Variable: LA2015A_IND2 - Industry (2-digit ISIC Rev. 4) Lesotho 2006 - see Variable: LS2006A_IND - Industry (2-digits) Liberia 1974 - see Variable: LR1974A_IND - Industry (3-digit) Liberia 2008 - see Variable: LR2008A_IND - Industry Malawi 1987 - see Variable: MW1987A_IND2 - Industry, 2 digit Malawi 1998 - see Variable: MW1998A_IND4 - Industry, 4-digit Malawi 2008 - see Variable: MW2008A_IND2 - Main industry Malawi 2018 - see Variable: MW2018A_IND3 - Main industry (ISIC 2008 3-digit) Malaysia 1970 - see Variable: MY1970A_IND3 - Industry last week Malaysia 1980 - see Variable: MY1980A_IND3 - Industry last week (3 digits) Malaysia 1991 - see Variable: MY1991A_IND3 - Main industry (3 digits) Malaysia 2000 - see Variable: MY2000A_IND3 - Main industry - 3 digits Mali 1987 - see Variable: ML1987A_IND - Principal branch of employment last month Mali 1998 - see Variable: ML1998A_IND - Branch of economic activity Mali 2009 - see Variable: ML2009A_IND - Industry Mauritius 1990 - see Variable: MU1990A_IND - Industry (1-digit) Mauritius 2000 - see Variable: MU2000A_IND1 - Industry (1 digit) Mauritius 2011 - see Variable: MU2011A_IND2 - Industry (2-digit) Mexico 1960 - see Variable: MX1960A_IND - Industry Mexico 1970 - see Variable: MX1970A_IND - Industry Mexico 1990 - see Variable: MX1990A_IND5 - Industry, 5 digits Mexico 1995 - see Variable: MX1995A_IND - Industry Mexico 2000 - see Variable: MX2000A_IND3 - Industry, 3 digits Mexico 2010 - see Variable: MX2010A_IND - Industry Mexico 2015 - see Variable: MX2015A_IND - Industry Mexico 2020 - see Variable: MX2020A_IND - Industry (4-digits) Mongolia 2000 - see Variable: MN2000A_IND - Industry Mongolia 2010 - see Variable: MN2010A_IND2 - Industry, division (ISIC Revision 4) Mongolia 2020 - see Variable: MN2020A_IND3 - Main industry (3-digit) Morocco 1982 - see Variable: MA1982A_IND3 - Industry (3-digit) Morocco 1994 - see Variable: MA1994A_IND2 - Industry (2 digits) Morocco 2004 - see Variable: MA2004A_IND2 - Sector of economic activity (2-digit) Morocco 2014 - see Variable: MA2014A_IND2 - Industry (2-digit) Mozambique 1997 - see Variable: MZ1997A_IND1 - Industry Mozambique 2007 - see Variable: MZ2007A_IND - Industry Mozambique 2017 - see Variable: MZ2017A_IND2 - Main economic activity (2-digits CAE Rev.2) Myanmar 2014 - see Variable: MM2014A_IND - Industry Nepal 2001 - see Variable: NP2001A_IND - Usual industry Nepal 2011 - see Variable: NP2011A_IND - Industry (2-digit) Netherlands 1960 - see Variable: NL1960A_IND - Industry Netherlands 1971 - see Variable: NL1971A_IND - Industry Netherlands 2001 - see Variable: NL2001A_IND - Industry Netherlands 2011 - see Variable: NL2011A_IND - Industry (1-digit) Nicaragua 1971 - see Variable: NI1971A_IND3 - Industry (ISIC2), 3 digits Nicaragua 1995 - see Variable: NI1995A_IND - Industry (ISIC 3.1, 3 digits) Nicaragua 2005 - see Variable: NI2005A_IND3 - Industry (ISIC 3.1, 3 digits)) Pakistan 1973 - see Variable: PK1973A_IND2 - Industry, 2 digit Palestine 1997 - see Variable: PS1997A_IND - Industry Palestine 2007 - see Variable: PS2007A_IND - Industry Palestine 2017 - see Variable: PS2017A_IND - Industry Panama 1960 - see Variable: PA1960A_IND3 - Industry (3 digit) Panama 1970 - see Variable: PA1970A_IND3 - Industry [3 digit] Panama 1980 - see Variable: PA1980A_IND - Industry, 3-digit Panama 1990 - see Variable: PA1990A_IND3 - Industry - 3 Digits Panama 2000 - see Variable: PA2000A_IND - Economic activity, 3 digits Panama 2010 - see Variable: PA2010A_IND - Economic activity, 4 digits Papua New Guinea 1980 - see Variable: PG1980A_IND - Industry, 3 digits Papua New Guinea 2000 - see Variable: PG2000A_IND3 - Industry (3-digit) Paraguay 1962 - see Variable: PY1962A_IND3 - Industry (3 digits) Paraguay 1972 - see Variable: PY1972A_IND3 - Industry (3 digits) Paraguay 1982 - see Variable: PY1982A_IND3 - Industry, 3-digits Paraguay 1992 - see Variable: PY1992A_IND3 - Industry, 3 digits Paraguay 2002 - see Variable: PY2002A_IND - Industry (4 digits) Peru 1993 - see Variable: PE1993A_IND - Economic activity (4 digits) Peru 2007 - see Variable: PE2007A_IND - Economic activity (4-digits) Peru 2017 - see Variable: PE2017A_IND4 - Economic activity (4-digits, in primary job last week) Philippines 1990 - see Variable: PH1990A_IND - Industry Philippines 1995 - see Variable: PH1995A_IND - Industry Philippines 2000 - see Variable: PH2000A_IND - Industry Philippines 2010 - see Variable: PH2010A_IND3 - Kind of business or industry (3-digit) Poland 1978 - see Variable: PL1978A_IND - Industry (of person providing support) Poland 2002 - see Variable: PL2002A_IND - Industry (main employer) Portugal 1981 - see Variable: PT1981A_IND - Industry Portugal 1991 - see Variable: PT1991A_IND - Industry Portugal 2001 - see Variable: PT2001A_IND - Industry Portugal 2011 - see Variable: PT2011A_IND - Industry Puerto Rico 1970 - see Variable: PR1970A_IND1990 - Industry, 1990 basis Puerto Rico 1980 - see Variable: PR1980A_IND1990 - Industry, 1990 basis Puerto Rico 1990 - see Variable: PR1990A_IND - Industry Puerto Rico 2000 - see Variable: PR2000A_IND1990 - Industry, 1990 basis Puerto Rico 2005 - see Variable: PR2005A_IND1990 - Industry, 1990 basis Puerto Rico 2010 - see Variable: PR2010A_IND - Industry Puerto Rico 2015 - see Variable: PR2015A_IND - Industry Puerto Rico 2020 - see Variable: PR2020A_IND - Industry Romania 1977 - see Variable: RO1977A_IND - Industry of supporter Romania 1977 - see Variable: RO1977A_WKACT - Activity category Romania 1992 - see Variable: RO1992A_IND - Industry Romania 2002 - see Variable: RO2002A_IND - Industry Romania 2011 - see Variable: RO2011A_INDGEN - Industry (general categories) Rwanda 2002 - see Variable: RW2002A_IND - Industry Rwanda 2012 - see Variable: RW2012A_IND2 - Industry (3-digit) Saint Lucia 1991 - see Variable: LC1991A_IND3 - Industry, 2 digit Senegal 1988 - see Variable: SN1988A_IND - Industry Senegal 2013 - see Variable: SN2013A_IND3 - Industry (3-digit) Sierra Leone 2004 - see Variable: SL2004A_IND - Industry Slovenia 2002 - see Variable: SI2002A_IND - Industry South Africa 1996 - see Variable: ZA1996A_IND2 - Industry, 2 digits South Africa 2001 - see Variable: ZA2001A_IND3 - Industry, 3 digit South Africa 2007 - see Variable: ZA2007A_IND3 - Industry, 3 digit South Sudan 2008 - see Variable: SS2008A_IND - Industry Spain 1981 - see Variable: ES1981A_IND - Industry Spain 1991 - see Variable: ES1991A_IND - Activity of the establishment Spain 2001 - see Variable: ES2001A_IND - Industry Spain 2011 - see Variable: ES2011A_IND - Industry, 2-digits Sudan 2008 - see Variable: SD2008A_IND - Industry Suriname 2004 - see Variable: SR2004A_IND - Industry Suriname 2012 - see Variable: SR2012A_IND - Industry (groups) Switzerland 1970 - see Variable: CH1970A_IND - Branch of economic activity (industry) Switzerland 1980 - see Variable: CH1980A_IND - Branch of economic activity (industry) Switzerland 1990 - see Variable: CH1990A_IND - Branch of economic activity (industry) Switzerland 2000 - see Variable: CH2000A_IND - Branch of economic activity (industry) Switzerland 2011 - see Variable: CH2011A_IND2 - Industry of local unit, workplace (NOGA 2-digit) Tanzania 2002 - see Variable: TZ2002A_IND - Industry last week Tanzania 2012 - see Variable: TZ2012A_IND - Industry Thailand 1970 - see Variable: TH1970A_IND - Principal industry last year Thailand 1980 - see Variable: TH1980A_IND - Principal industry last year Thailand 1990 - see Variable: TH1990A_IND3 - Principal industry last year, 3 digits Thailand 2000 - see Variable: TH2000A_IND3 - Industry last year, 3 digits Togo 1970 - see Variable: TG1970A_IND - Industry (1-digit) Togo 2010 - see Variable: TG2010A_IND3 - Industry (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_IND - Industry (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_IND - Industry Trinidad and Tobago 2000 - see Variable: TT2000A_IND - Industry (2 digits) Turkey 1985 - see Variable: TR1985A_INDALT - Industry (2-digit) Turkey 1990 - see Variable: TR1990A_IND2 - Industry (2 digits) Turkey 2000 - see Variable: TR2000A_IND2 - Industry, 2 digit Uganda 2002 - see Variable: UG2002A_IND - Industry United Kingdom 1961 - see Variable: UK1961A_IND - Industry United Kingdom 1971 - see Variable: UK1971A_IND - Industry United Kingdom 1991 - see Variable: UK1991A_IND - Industrial classification United Kingdom 2001 - see Variable: UK2001A_IND - Industry classification United States 1960 - see Variable: US1960A_IND - Industry United States 1970 - see Variable: US1970A_IND - Industry United States 1980 - see Variable: US1980A_IND - Industry United States 1990 - see Variable: US1990A_IND - Industry United States 2000 - see Variable: US2000A_IND - Industry United States 2005 - see Variable: US2005A_IND - Industry United States 2010 - see Variable: US2010A_IND - Industry United States 2015 - see Variable: US2015A_IND - Industry United States 2020 - see Variable: US2020A_IND - Industry Uruguay 1963 - see Variable: UY1963A_IND2 - Primary industry [2-digit] Uruguay 1985 - see Variable: UY1985A_IND - Industry during the past week Uruguay 1996 - see Variable: UY1996A_IND2 - Industry (ISIC 3, 2 digits) Uruguay 2006 - see Variable: UY2006A_IND3 - Industry (ISIC rev 3, 3 digits) Venezuela 1981 - see Variable: VE1981A_IND - Industry Venezuela 1990 - see Variable: VE1990A_IND - Industry Venezuela 2001 - see Variable: VE2001A_IND - Industry Vietnam 1989 - see Variable: VN1989A_IND2 - Industry, 2 digits Vietnam 1999 - see Variable: VN1999A_IND3 - Industry, 3 digit Vietnam 2009 - see Variable: VN2009A_IND - Industry Vietnam 2019 - see Variable: VN2019A_IND3 - Industry, 3 digit Zambia 1990 - see Variable: ZM1990A_IND - Industry Zambia 2000 - see Variable: ZM2000A_IND - Type of industry, 3 digits Zambia 2010 - see Variable: ZM2010A_IND2 - Industry, 3 digits Work Variables -- PERSON Migration status, previous residence MIGRATEP indicates whether the person's most recent move (if any) was between minor administrative units, major units, or countries. 00 NIU (not in universe) 10 Same major administrative unit 11 Same major, same minor administrative unit 12 Same major, different minor administrative unit 20 Different major administrative unit 30 Abroad 98 Response suppressed 99 Not reported/missing/unknown Migration: Global Variables -- PERSON Country of previous residence MIGCTRYP indicates the country of previous residence of international migrants. Persons who never lived abroad are coded to the "non-migrant" category. 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12100 Sao Tome and Principe 12999 Middle Africa, n.s. 13000 Northern Africa 13010 Algeria 13020 Egypt/United Arab Rep. 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13990 Northern Africa, n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15150 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15160 Sierra Leone 15170 Togo 19999 Africa, n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21200 St. Croix 21210 St. John 21220 St. Lucia 21230 St. Thomas 21240 St. Vincent and the Grenadines 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21999 Caribbean, n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23990 South America, n.s. 23991 Central and Latin America 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 Saint Pierre and Miquelon 24050 United States 24051 U.S. Outlying Areas and Territories 24999 U.S.A, Canada, Mexico 29999 Americas, n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33061 Malaysia and Singapore 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34060 Iraq 34070 Israel 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34190 Middle East, not specified 34191 Arabia 34199 Gulf countries 39999 Asia, n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Albania/Bulgaria/Romania 41030 Czech Republic 41031 Czechoslovakia/Yugoslavia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41999 Eastern Europe, n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42110 Sweden 42120 United Kingdom 42199 Scandinavia 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Serbia and Montenegro 43999 Southern Europe, n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxemburg 44022 Benelux (Belgium/Netherlands/Luxemburg) 44030 France 44040 Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 49990 Europe, n.s. 49991 Central and Eastern Europe 49992 European Union 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51021 New Zealand/New Guinea 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53999 Micronesia, n.e.c. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Samoa 54060 Tokelau 54070 Tonga 54080 Tuvalu 54090 Wallis and Futuna Isls. 59999 Oceania, n.s. 60000 Other 60010 Europe, Australia, New Zealand 60020 Asia and Oceania, n.s. 90000 Non-migrants (International) 99998 Response suppressed 99999 Unknown Migration: Global Variables -- PERSON 1st subnational geographic level of previous residence, world [consistent boundaries over time] GEOMIG1_P indicates the major administrative unit in which the person previously resided prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of previous residence, to enable comparative analysis of subnational migration. Foreign migrants are coded 097 or 997. Codes for GEOMIG1_1 match the geographic codes in GEOLEV1 (current place of residence). For similar information for different time intervals since migration, see variables GEOMIG1_1, GEOMIG1_5, and GEOMIG1_10. More on migration and geography can be found here. 051901 Yerevan [Province: Armenia] 051902 Aragatsotn [Province: Armenia] 051903 Ararat [Province: Armenia] 051904 Armavir [Province: Armenia] 051905 Gegharkunik [Province: Armenia] 051906 Lori [Province: Armenia] 051907 Kotayk [Province: Armenia] 051908 Shirak [Province: Armenia] 051909 Syunik [Province: Armenia] 051910 Vayots Dzor [Province: Armenia] 051911 Tavush [Province: Armenia] 051912 Nagorno-Karabagh [Province: Armenia] 051997 Foreign country [Province: Armenia] 051998 Unknown [Province: Armenia] 051999 NIU (not in universe) [Province: Armenia] 112001 Brest [Region: Belarus] 112002 Vitebsk [Region: Belarus] 112003 Gomel [Region: Belarus] 112004 Grodno [Region: Belarus] 112006 Minsk, Minsk City [Region: Belarus] 112007 Mogilev [Region: Belarus] 112097 Foreign country [Region: Belarus] 112098 Unknown [Region: Belarus] 112099 NIU (not in universe) [Region: Belarus] 204001 Alibori [Department: Benin] 204002 Atacora [Department: Benin] 204003 Atlantique [Department: Benin] 204004 Borgou [Department: Benin] 204005 Collines [Department: Benin] 204006 Couffo [Department: Benin] 204007 Donga [Department: Benin] 204008 Littoral [Department: Benin] 204009 Mono [Department: Benin] 204010 Oueme [Department: Benin] 204011 Plateau [Department: Benin] 204012 Zou [Department: Benin] 204097 Abroad [Department: Benin] 204098 Unknown [Department: Benin] 204099 NIU (not in universe) [Department: Benin] 076011 Rondônia [State: Brazil] 076012 Acre [State: Brazil] 076013 Amazonas [State: Brazil] 076014 Roraima [State: Brazil] 076015 Pará [State: Brazil] 076016 Amapá [State: Brazil] 076021 Maranhão [State: Brazil] 076022 Piauí [State: Brazil] 076023 Ceará [State: Brazil] 076024 Rio Grande do Norte [State: Brazil] 076025 Paraíba [State: Brazil] 076026 Pernambuco, Arquipelago de Fernando de Noronha [State: Brazil] 076027 Alagoas [State: Brazil] 076028 Sergipe [State: Brazil] 076029 Bahia [State: Brazil] 076031 Minas Gerais [State: Brazil] 076032 Espírito Santo [State: Brazil] 076033 Rio de Janeiro, Guanabara [State: Brazil] 076035 São Paulo [State: Brazil] 076036 Serra dos Aimorés [State: Brazil] 076041 Paraná [State: Brazil] 076042 Santa Catarina [State: Brazil] 076043 Rio Grande do Sul [State: Brazil] 076051 Mato Grosso do Sul, Mato Grosso [State: Brazil] 076052 Goiás, Tocantins [State: Brazil] 076053 Distrito Federal [State: Brazil] 076054 Brazil, unspecified [State: Brazil] 076097 Abroad [State: Brazil] 076098 Unknown [State: Brazil] 076099 NIU (not in universe) [State: Brazil] 116001 Banteay Meanchey [Province: Cambodia] 116002 Battambang [Province: Cambodia] 116003 Kampong Cham, Tbong Khmum [Province: Cambodia] 116004 Kampong Chhnang [Province: Cambodia] 116005 Kampong Speu [Province: Cambodia] 116006 Kampong Thom [Province: Cambodia] 116007 Kampot [Province: Cambodia] 116008 Phnom Penh, Kandal [Province: Cambodia] 116009 Koh Kong, Preah Sihanouk [Province: Cambodia] 116010 Kratie [Province: Cambodia] 116011 Mondul Kiri [Province: Cambodia] 116013 Preah Vihear [Province: Cambodia] 116014 Prey Veng [Province: Cambodia] 116015 Pursat [Province: Cambodia] 116016 Ratanak Kiri [Province: Cambodia] 116017 Siem Reap, Otdar Meanchey [Province: Cambodia] 116019 Stung Treng [Province: Cambodia] 116020 Svay Rieng [Province: Cambodia] 116021 Takeo [Province: Cambodia] 116023 Kep [Province: Cambodia] 116024 Pailin [Province: Cambodia] 116097 Foreign country [Province: Cambodia] 116098 Unknown [Province: Cambodia] 116099 NIU (not in universe) [Province: Cambodia] 120002 Centre, Sud [Province: Cameroon] 120003 Est [Province: Cameroon] 120004 Nord, Adamoua, Extrème Nord [Province: Cameroon] 120005 Littoral [Province: Cameroon] 120007 Nord Ouest [Province: Cameroon] 120008 Ouest [Province: Cameroon] 120010 Sud Ouest [Province: Cameroon] 120096 Cameroon - unknown arrondissement [Province: Cameroon] 120097 Foreign country [Province: Cameroon] 120098 Unknown [Province: Cameroon] 120099 NIU (not in universe) [Province: Cameroon] 152001 Tarapaca [Province: Chile] 152002 Antofagasta [Province: Chile] 152003 Atacama [Province: Chile] 152004 Coquimbo [Province: Chile] 152005 Aconcagua [Province: Chile] 152006 Valparaíso [Province: Chile] 152007 Santiago [Province: Chile] 152008 O'Higgins [Province: Chile] 152009 Colchagua [Province: Chile] 152010 Curicó [Province: Chile] 152011 Talca [Province: Chile] 152012 Maule [Province: Chile] 152013 Linares [Province: Chile] 152014 Ñuble [Province: Chile] 152015 Concepción [Province: Chile] 152016 Arauco [Province: Chile] 152017 Bío Bío [Province: Chile] 152018 Malleco [Province: Chile] 152019 Cautín [Province: Chile] 152020 Valdivia [Province: Chile] 152021 Osorno [Province: Chile] 152022 Llanquihue [Province: Chile] 152023 Chiloé [Province: Chile] 152024 Aysén [Province: Chile] 152025 Magallanes [Province: Chile] 152097 Foreign country [Province: Chile] 152098 Unknown [Province: Chile] 152099 NIU (not in universe) [Province: Chile] 170005 Antioquia [Department: Colombia] 170008 Atlántico [Department: Colombia] 170011 Bogotá D.C., Cundinamarca [Department: Colombia] 170013 Bolívar, Sucre [Department: Colombia] 170015 Boyacá, Casanare [Department: Colombia] 170018 Caquetá [Department: Colombia] 170019 Cauca [Department: Colombia] 170023 Córdoba [Department: Colombia] 170027 Chocó [Department: Colombia] 170041 Huila [Department: Colombia] 170044 La Guajira [Department: Colombia] 170050 Meta [Department: Colombia] 170052 Nariño [Department: Colombia] 170054 Cesar, Norte De Santander, Magdalena [Department: Colombia] 170066 Caldas, Quindío, Risaralda [Department: Colombia] 170068 Santander [Department: Colombia] 170073 Tolima [Department: Colombia] 170076 Valle Del Cauca [Department: Colombia] 170081 Arauca [Department: Colombia] 170086 Putumayo [Department: Colombia] 170088 Archipiélago De San Andrés Y Providencia [Department: Colombia] 170095 Amazonas, Guaviare, Vaupés, Vichada, Guainía [Department: Colombia] 170097 Abroad [Department: Colombia] 170098 Unknown [Department: Colombia] 188001 San José [Province: Costa Rica] 188002 Alajuela [Province: Costa Rica] 188003 Cartago [Province: Costa Rica] 188004 Heredia [Province: Costa Rica] 188005 Guanacaste [Province: Costa Rica] 188006 Puntarenas [Province: Costa Rica] 188007 Limón [Province: Costa Rica] 188097 Foreign country [Province: Costa Rica] 188098 Unknown [Province: Costa Rica] 192021 Pinar del Río, Artemisa, Mayabeque [Province: Cuba] 192023 La Habana [Province: Cuba] 192025 Matanzas [Province: Cuba] 192026 Villa Clara [Province: Cuba] 192027 Cienfuegos [Province: Cuba] 192028 Sancti Spíritus [Province: Cuba] 192029 Ciego de Ávila [Province: Cuba] 192030 Camagüey [Province: Cuba] 192031 Las Tunas [Province: Cuba] 192032 Holguín [Province: Cuba] 192033 Granma [Province: Cuba] 192034 Santiago de Cuba [Province: Cuba] 192035 Guantánamo [Province: Cuba] 192040 Isla de la Juventud [Province: Cuba] 192997 Abroad [Province: Cuba] 192998 Unknown [Province: Cuba] 192999 NIU (not in universe) [Province: Cuba] 218001 Azuay [Province: Ecuador] 218002 Bolívar [Province: Ecuador] 218004 Carchi [Province: Ecuador] 218005 Cotopaxi [Province: Ecuador] 218006 Chimborazo [Province: Ecuador] 218007 El Oro [Province: Ecuador] 218009 Cañar, Esmeraldas, Guayas, Manabí, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los Ríos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos [Province: Ecuador] 218010 Imbabura, Las Golondrinas [Disputed canton] [Province: Ecuador] 218011 Loja [Province: Ecuador] 218014 Morona Santiago [Province: Ecuador] 218016 Pastaza [Province: Ecuador] 218018 Tungurahua [Province: Ecuador] 218019 Zamora Chinchipe [Province: Ecuador] 218021 Napo, Orellana, Sucumbíos [Province: Ecuador] 218097 Foreign country [Province: Ecuador] 218098 Unknown and Disputed Zones [Province: Ecuador] 218999 NIU (not in universe) [Province: Ecuador] 818000 Reported same governorate as household location [Governorate: Egypt] 818001 Giza, 6th October City, Cairo, Helwan [Governorate: Egypt] 818002 Alexandria [Governorate: Egypt] 818003 Port Said [Governorate: Egypt] 818004 Suez [Governorate: Egypt] 818011 Demietta [Governorate: Egypt] 818012 Dakahlia [Governorate: Egypt] 818013 Sharkia [Governorate: Egypt] 818014 Kaliobia [Governorate: Egypt] 818015 Kafr Sheikh [Governorate: Egypt] 818016 Gharbia [Governorate: Egypt] 818018 Menoufia, Behera [Governorate: Egypt] 818019 Ismailia [Governorate: Egypt] 818022 Bani Swif [Governorate: Egypt] 818023 Fayoum [Governorate: Egypt] 818024 Menia [Governorate: Egypt] 818025 Asiut [Governorate: Egypt] 818026 Sohag [Governorate: Egypt] 818027 Qena, Luxor [Governorate: Egypt] 818028 Aswan [Governorate: Egypt] 818031 Red Sea [Governorate: Egypt] 818032 New Valley [Governorate: Egypt] 818033 Marsa Matroh [Governorate: Egypt] 818034 North Sinai [Governorate: Egypt] 818035 South Sinai [Governorate: Egypt] 818097 Abroad [Governorate: Egypt] 818098 Unknown [Governorate: Egypt] 818099 NIU (not in universe) [Governorate: Egypt] 222001 Ahuachapán [Department: El Salvador] 222002 Santa Ana [Department: El Salvador] 222003 Sonsonate [Department: El Salvador] 222004 Chalatenango [Department: El Salvador] 222005 La Libertad [Department: El Salvador] 222006 San Salvador [Department: El Salvador] 222007 Cuscatlán [Department: El Salvador] 222008 La Paz [Department: El Salvador] 222009 Cabañas [Department: El Salvador] 222010 San Vicente [Department: El Salvador] 222011 Usulután [Department: El Salvador] 222012 San Miguel [Department: El Salvador] 222013 Morazán [Department: El Salvador] 222014 La Unión [Department: El Salvador] 222098 Abroad [Department: El Salvador] 222099 NIU (not in universe) [Department: El Salvador] 231001 Tigray [Region: Ethiopia] 231002 Affar [Region: Ethiopia] 231003 Amhara [Region: Ethiopia] 231004 Oromia, Somali [Region: Ethiopia] 231006 Benishangul-Gumuz [Region: Ethiopia] 231007 Southern Nations, Nationalities, and Peoples (SNNP) [Region: Ethiopia] 231012 Gambela [Region: Ethiopia] 231013 Harari [Region: Ethiopia] 231014 Addis Ababa [Region: Ethiopia] 231015 Dire Dawa [Region: Ethiopia] 231097 Abroad [Region: Ethiopia] 231099 NIU [Region: Ethiopia] 250001 Guadeloupe [Region: France] 250002 Martinique [Region: France] 250003 French Guyana [Region: France] 250004 Réunion Island [Region: France] 250011 Île-de-France [Region: France] 250021 Champagne-Ardenne [Region: France] 250022 Picardy [Region: France] 250023 Upper Normandy [Region: France] 250024 Centre [Region: France] 250025 Lower Normandy [Region: France] 250026 Burgundy [Region: France] 250031 North Pas-de-Calais [Region: France] 250041 Lorraine [Region: France] 250042 Alsace [Region: France] 250043 Franche-Comté [Region: France] 250052 Loire Valley [Region: France] 250053 Brittany [Region: France] 250054 Poitou-Charentes [Region: France] 250072 Aquitaine [Region: France] 250073 Midi-Pyrénées [Region: France] 250074 Limousin [Region: France] 250082 Rhône-Alpes [Region: France] 250083 Auvergne [Region: France] 250091 Languedoc-Roussillon [Region: France] 250093 Provence-Alpes-Riviera [Region: France] 250094 Corsica [Region: France] 250097 Abroad [Region: France] 320001 Guatemala [Department: Guatemala] 320002 El Progreso [Department: Guatemala] 320003 Sacatepéquez [Department: Guatemala] 320004 Chimaltenango [Department: Guatemala] 320005 Escuintla [Department: Guatemala] 320006 Santa Rosa [Department: Guatemala] 320007 Sololá [Department: Guatemala] 320008 Totonicapán [Department: Guatemala] 320009 Quetzaltenango [Department: Guatemala] 320010 Suchitepéquez [Department: Guatemala] 320011 Retalhuleu [Department: Guatemala] 320012 San Marcos [Department: Guatemala] 320013 Huehuetenango [Department: Guatemala] 320014 Quiché [Department: Guatemala] 320015 Baja Verapaz [Department: Guatemala] 320016 Alta Verapaz [Department: Guatemala] 320017 Petén [Department: Guatemala] 320018 Izabal [Department: Guatemala] 320019 Zacapa [Department: Guatemala] 320020 Chiquimula [Department: Guatemala] 320021 Jalapa [Department: Guatemala] 320022 Jutiapa [Department: Guatemala] 320097 Foreign Country [Department: Guatemala] 320098 Unknown [Department: Guatemala] 320099 NIU [Department: Guatemala] 324011 Boffa [Region: Guinea] 324012 Boké [Region: Guinea] 324013 Fria [Region: Guinea] 324014 Gaoual [Region: Guinea] 324015 Koundara [Region: Guinea] 324021 Conakry [Region: Guinea] 324031 Dabola [Region: Guinea] 324032 Dinguiraye [Region: Guinea] 324033 Faranah [Region: Guinea] 324034 Kissidougou [Region: Guinea] 324041 Kankan [Region: Guinea] 324042 Kérouané [Region: Guinea] 324043 Kouroussa [Region: Guinea] 324044 Mandiana [Region: Guinea] 324045 Siguiri [Region: Guinea] 324051 Coyah, Dubréka [Region: Guinea] 324053 Forécariah [Region: Guinea] 324054 Kindia [Region: Guinea] 324055 Télimélé [Region: Guinea] 324061 Koubia [Region: Guinea] 324062 Labé [Region: Guinea] 324063 Lélouma [Region: Guinea] 324064 Mali [Region: Guinea] 324065 Tougué [Region: Guinea] 324071 Dalaba [Region: Guinea] 324072 Mamou [Region: Guinea] 324073 Pita [Region: Guinea] 324081 Beyla [Region: Guinea] 324082 Guéckédou [Region: Guinea] 324083 Lola [Region: Guinea] 324084 Macenta [Region: Guinea] 324085 Nzerekore [Region: Guinea] 324086 Yomou [Region: Guinea] 324096 Guinea, place unknown [Region: Guinea] 324097 Foreign country [Region: Guinea] 324098 Unknown [Region: Guinea] 324099 NIU (not in universe) [Region: Guinea] 332003 Nord (North) and Nord'est (North East) [Department: Haiti] 332006 Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti] 332007 Grand'Anse, Nippes, Sud (South) [Department: Haiti] 332009 Nord'Ouest (North West) [Department: Haiti] 332097 Foreign Country [Department: Haiti] 332098 Unknown [Department: Haiti] 356001 Jammu and Kashmir [State: India] 356002 Himachal Pradesh [State: India] 356003 Punjab [State: India] 356004 Chandigarh [State: India] 356006 Haryana [State: India] 356007 Delhi [State: India] 356008 Rajasthan [State: India] 356009 Uttar Pradesh, Uttaranchal [State: India] 356010 Bihar, Jharkhand [State: India] 356011 Sikkim [State: India] 356012 Arunachal Pradesh [State: India] 356013 Nagaland [State: India] 356014 Manipur [State: India] 356015 Mizoram [State: India] 356016 Tripura [State: India] 356017 Meghalaya [State: India] 356018 Assam [State: India] 356019 West Bengal [State: India] 356021 Orissa [State: India] 356023 Madhya Pradesh, Chhattisgarh [State: India] 356024 Gujarat [State: India] 356026 Dadra and Nagar Haveli [State: India] 356027 Maharashtra [State: India] 356028 Andhra Pradesh [State: India] 356029 Karnataka [State: India] 356030 Goa, Daman and Diu [State: India] 356031 Lakshadweep [State: India] 356032 Kerala [State: India] 356033 Tamil Nadu [State: India] 356034 Pondicherry [State: India] 356035 Andaman and Nicobar Islands [State: India] 356097 Abroad [State: India] 356098 Unknown [State: India] 356099 NIU (not in universe) [State: India] 360011 Nanggroe Aceh Darussalam [Province: Indonesia] 360012 Sumatera Utara [Province: Indonesia] 360013 Sumatera Barat [Province: Indonesia] 360014 Kepulauan Riau, Riau [Province: Indonesia] 360015 Jambi [Province: Indonesia] 360016 Bangka Belitung, Sumatera Selatan [Province: Indonesia] 360017 Bengkulu [Province: Indonesia] 360018 Lampung [Province: Indonesia] 360031 DKI Jakarta [Province: Indonesia] 360032 Banten, Jawa Barat [Province: Indonesia] 360033 Jawa Tengah [Province: Indonesia] 360034 DKI Yogyakarta [Province: Indonesia] 360035 Jawa Timur [Province: Indonesia] 360051 Bali [Province: Indonesia] 360052 Nusa Tenggara Barat [Province: Indonesia] 360053 Nusa Tenggara Timur [Province: Indonesia] 360061 Kalimantan Barat [Province: Indonesia] 360062 Kalimantan Tengah [Province: Indonesia] 360063 Kalimantan Selatan [Province: Indonesia] 360064 Kalimantan Timur [Province: Indonesia] 360071 Gorontalo, Sulawesi Utara [Province: Indonesia] 360072 Sulawesi Tengah [Province: Indonesia] 360073 Sulawesi Barat, Sulawesi Selatan [Province: Indonesia] 360074 Sulawesi Tenggara [Province: Indonesia] 360081 Maluku, Maluku Utara [Province: Indonesia] 360094 Papua, Papua Barat [Province: Indonesia] 360097 Abroad [Province: Indonesia] 360098 Unknown [Province: Indonesia] 360099 NIU (not in universe) [Province: Indonesia] 360626 East Timor [Province: Indonesia] 364000 Markazi [Province: Iran] 364001 Gilan [Province: Iran] 364002 Mazandaran [Province: Iran] 364003 East Azarbayejan [Province: Iran] 364004 West Azarbayejan [Province: Iran] 364005 Kermanshah [Province: Iran] 364006 Khuzestan [Province: Iran] 364007 Fars [Province: Iran] 364008 Kerman [Province: Iran] 364009 Razavi Khorasan [Province: Iran] 364010 Esfahan [Province: Iran] 364011 Sistan and Baluchestan [Province: Iran] 364012 Kordestan [Province: Iran] 364013 Hamedan [Province: Iran] 364014 Chaharmahal and Bakhtiyari [Province: Iran] 364015 Lorestan [Province: Iran] 364016 Ilam [Province: Iran] 364017 Kohgiluyeh and Boyerahmad [Province: Iran] 364018 Bushehr [Province: Iran] 364019 Zanjan [Province: Iran] 364020 Semnan [Province: Iran] 364021 Yazd [Province: Iran] 364022 Hormozgan [Province: Iran] 364023 Tehran, Alborz [Province: Iran] 364024 Ardebil [Province: Iran] 364025 Qom [Province: Iran] 364026 Qazvin [Province: Iran] 364027 Golestan [Province: Iran] 364028 North Khorasan [Province: Iran] 364029 South Khorasan [Province: Iran] 364098 Unknown [Province: Iran] 364099 NIU (not in universe) [Province: Iran] 368000 Always lived in residential place of birth [Governorate: Iraq] 368001 In this governorate [Governorate: Iraq] 368011 Dahuk [Governorate: Iraq] 368012 Nineveh [Governorate: Iraq] 368013 Sulaymaniyah [Governorate: Iraq] 368014 Al-Tameem [Governorate: Iraq] 368015 Erbil [Governorate: Iraq] 368021 Diala [Governorate: Iraq] 368022 Al-Anbar [Governorate: Iraq] 368023 Baghdad [Governorate: Iraq] 368024 Babylon [Governorate: Iraq] 368025 Kerbela [Governorate: Iraq] 368026 Wasit [Governorate: Iraq] 368027 Salah Al-Deen [Governorate: Iraq] 368028 Al-Najaf [Governorate: Iraq] 368031 Al-Qadisiya [Governorate: Iraq] 368032 Al-Muthanna [Governorate: Iraq] 368033 Thi-Qar [Governorate: Iraq] 368034 Maysan [Governorate: Iraq] 368035 Al-Basrah [Governorate: Iraq] 368097 Other countries [Governorate: Iraq] 368098 Unknown [Governorate: Iraq] 388001 Kingston [Parish: Jamaica] 388002 Saint Andrew [Parish: Jamaica] 388003 Saint Thomas [Parish: Jamaica] 388004 Portland [Parish: Jamaica] 388005 Saint Mary [Parish: Jamaica] 388006 Saint Ann [Parish: Jamaica] 388007 Trelawny [Parish: Jamaica] 388008 Saint James [Parish: Jamaica] 388009 Hanover [Parish: Jamaica] 388010 Westmoreland [Parish: Jamaica] 388011 Saint Elizabeth [Parish: Jamaica] 388012 Manchester [Parish: Jamaica] 388013 Clarendon [Parish: Jamaica] 388014 Saint Catherine [Parish: Jamaica] 388098 Unknown [Parish: Jamaica] 388099 NIU (Not in universe) [Parish: Jamaica] 400011 Amman [Governorate: Jordan] 400012 Balqa [Governorate: Jordan] 400013 Zarqa [Governorate: Jordan] 400014 Madaba [Governorate: Jordan] 400021 Irbid [Governorate: Jordan] 400022 Mafraq [Governorate: Jordan] 400023 Jarash [Governorate: Jordan] 400024 Ajlun [Governorate: Jordan] 400031 Karak [Governorate: Jordan] 400032 Tafilah [Governorate: Jordan] 400033 Ma'an [Governorate: Jordan] 400034 Aqaba [Governorate: Jordan] 400997 Foreign Country [Governorate: Jordan] 400998 Unknown [Governorate: Jordan] 404001 Nairobi [Province: Kenya] 404002 Central [Province: Kenya] 404003 Coast [Province: Kenya] 404004 Eastern [Province: Kenya] 404005 Northeastern [Province: Kenya] 404006 Nyanza [Province: Kenya] 404007 Rift Valley [Province: Kenya] 404008 Western [Province: Kenya] 404097 Abroad [Province: Kenya] 404098 Unknown [Province: Kenya] 404099 NIU (not in universe) [Province: Kenya] 417001 Bishkek [Region: Kyrgyz Republic] 417002 Issyk-Kul region [Region: Kyrgyz Republic] 417003 Dzhalal-Abad region [Region: Kyrgyz Republic] 417004 Naryn region [Region: Kyrgyz Republic] 417005 Batken region [Region: Kyrgyz Republic] 417006 Oshskaya region, City of Osh [Region: Kyrgyz Republic] 417007 Talasskaya region [Region: Kyrgyz Republic] 417008 Chuya region [Region: Kyrgyz Republic] 417096 Other Kyrgyz Republic, not specified [Region: Kyrgyz Republic] 417097 Foreign country [Region: Kyrgyz Republic] 417098 Unknown [Region: Kyrgyz Republic] 417099 NIU (not in universe) [Region: Kyrgyz Republic] 418001 Vientiane Capital [Province: Laos] 418002 Phongsaly [Province: Laos] 418003 Luangnamtha [Province: Laos] 418004 Oudomxay [Province: Laos] 418005 Bokeo [Province: Laos] 418006 Luangprabang [Province: Laos] 418007 Huaphanh [Province: Laos] 418008 Xayaboury [Province: Laos] 418009 Xienkhuang [Province: Laos] 418010 Vientiane Province [Province: Laos] 418011 Borikhamxay [Province: Laos] 418012 Khammuane [Province: Laos] 418013 Savanakhet [Province: Laos] 418014 Saravane [Province: Laos] 418015 Sekong [Province: Laos] 418016 Champasack [Province: Laos] 418017 Attapeu [Province: Laos] 418018 Xaysomboune [Province: Laos] 418097 Foreign Country [Province: Laos] 418098 Unknown [Province: Laos] 418099 NIU [Province: Laos] 662003 Castries city, Castries rural, Castries suburban [District: Saint Lucia] 662009 Choiseul, Laborie, Vieux-Fort [District: Saint Lucia] 662010 Anse-la-Raye, Canaries, Micoud, Soufriere [District: Saint Lucia] 662012 Dennery, Gros-Islet [District: Saint Lucia] 662098 Unknown [District: Saint Lucia] 662099 NIU [District: Saint Lucia] 454101 Chitipa [District: Malawi] 454102 Karonga [District: Malawi] 454103 Nkhata Bay, Likoma [District: Malawi] 454104 Rumphi [District: Malawi] 454105 Mzimba, Mzuzu City [District: Malawi] 454201 Kasungu [District: Malawi] 454202 Nkhotakota [District: Malawi] 454203 Ntchisi [District: Malawi] 454204 Dowa [District: Malawi] 454205 Salima [District: Malawi] 454206 Lilongwe, Lilongwe City [District: Malawi] 454207 Mchinji [District: Malawi] 454208 Dedza [District: Malawi] 454209 Ntcheu [District: Malawi] 454301 Mangochi [District: Malawi] 454302 Machinga [District: Malawi] 454303 Zomba, Zomba City [District: Malawi] 454304 Chiradzulu [District: Malawi] 454305 Blantyre, Blantyre City [District: Malawi] 454306 Mwanza, Neno [District: Malawi] 454307 Thyolo [District: Malawi] 454308 Mulanje [District: Malawi] 454309 Phalombe [District: Malawi] 454310 Chikwawa [District: Malawi] 454311 Nsanje [District: Malawi] 454312 Balaka [District: Malawi] 454997 Abroad [District: Malawi] 454999 NIU (not in universe) [District: Malawi] 466001 Kayes [Region: Mali] 466002 Koulikoro [Region: Mali] 466003 Sikasso [Region: Mali] 466004 Ségou [Region: Mali] 466005 Mopti [Region: Mali] 466006 Tombouctou [Region: Mali] 466007 Gao, Kidal [Region: Mali] 466009 Bamako [Region: Mali] 466096 Mali, province unspecified [Region: Mali] 466097 Foreign country [Region: Mali] 466098 Unknown [Region: Mali] 466999 NIU (not in universe) [Region: Mali] 484001 Aguascalientes [State: Mexico] 484002 Baja California [State: Mexico] 484003 Baja California Sur [State: Mexico] 484004 Campeche [State: Mexico] 484005 Coahuila de Zaragoza [State: Mexico] 484006 Colima [State: Mexico] 484007 Chiapas [State: Mexico] 484008 Chihuahua [State: Mexico] 484009 Distrito Federal [State: Mexico] 484010 Durango [State: Mexico] 484011 Guanajuato [State: Mexico] 484012 Guerrero [State: Mexico] 484013 Hidalgo [State: Mexico] 484014 Jalisco [State: Mexico] 484015 México [State: Mexico] 484016 Michoacán de Ocampo [State: Mexico] 484017 Morelos [State: Mexico] 484018 Nayarit [State: Mexico] 484019 Nuevo León [State: Mexico] 484020 Oaxaca [State: Mexico] 484021 Puebla [State: Mexico] 484022 Querétaro [State: Mexico] 484023 Quintana Roo [State: Mexico] 484024 San Luis Potosí [State: Mexico] 484025 Sinaloa [State: Mexico] 484026 Sonora [State: Mexico] 484027 Tabasco [State: Mexico] 484028 Tamaulipas [State: Mexico] 484029 Tlaxcala [State: Mexico] 484030 Veracruz de Ignacio de la Llave [State: Mexico] 484031 Yucatán [State: Mexico] 484032 Zacatecas [State: Mexico] 484097 Abroad [State: Mexico] 484098 Unknown [State: Mexico] 484099 NIU (not in universe) [State: Mexico] 496011 Ulaanbaatar [Province: Mongolia] 496021 Dornod [Province: Mongolia] 496022 Sukhbaatar [Province: Mongolia] 496023 Khentii [Province: Mongolia] 496041 Tuv [Province: Mongolia] 496043 Selenge [Province: Mongolia] 496044 Dornogobi [Province: Mongolia] 496045 Darkhan-Uul [Province: Mongolia] 496046 Umnugobi [Province: Mongolia] 496048 Dundgobi, Gobisumber [Province: Mongolia] 496061 Orkhon [Province: Mongolia] 496062 Uvurkhangai [Province: Mongolia] 496063 Bulgan [Province: Mongolia] 496064 Bayankhongor [Province: Mongolia] 496065 Arkhangai [Province: Mongolia] 496067 Khuvsgul [Province: Mongolia] 496081 Zavkhan [Province: Mongolia] 496082 Gobi-Altai [Province: Mongolia] 496083 Bayan-Ulgii [Province: Mongolia] 496084 Khovd [Province: Mongolia] 496085 Uvs [Province: Mongolia] 496097 Abroad [Province: Mongolia] 496099 NIU (not in universe) [Province: Mongolia] 104001 Kachin [State: Myanmar] 104002 Kayah [State: Myanmar] 104003 Kayin [State: Myanmar] 104004 Chin [State: Myanmar] 104005 Sagaing [State: Myanmar] 104006 Tanintharyi [State: Myanmar] 104007 Bago [State: Myanmar] 104008 Magway [State: Myanmar] 104009 Mandalay [State: Myanmar] 104010 Mon [State: Myanmar] 104011 Rakhine [State: Myanmar] 104012 Yangon [State: Myanmar] 104013 Shan [State: Myanmar] 104014 Ayeyawady [State: Myanmar] 104015 Nay Pyi Taw [State: Myanmar] 104097 Abroad [State: Myanmar] 104099 NIU [State: Myanmar] 591002 Coclé [Province: Panama] 591003 Colón, Comarca Kuna Yala (San Blas) [Province: Panama] 591004 Bocas de Toro, Chiriquí, Comarca Ngäbe Buglé, Veraguas [Province: Panama] 591005 Comarca Emberá, Darién [Province: Panama] 591006 Herrera [Province: Panama] 591007 Los Santos [Province: Panama] 591008 Panamá [Province: Panama] 591009 Unknown district in Panamá province [Province: Panama] 591097 Foreign country [Province: Panama] 591098 Unknown [Province: Panama] 591099 NIU (not in universe) [Province: Panama] 608001 Abra [Province: Philippines] 608002 Agusan del norte [Province: Philippines] 608003 Agusan del sur [Province: Philippines] 608004 Aklan [Province: Philippines] 608005 Albay [Province: Philippines] 608006 Antique [Province: Philippines] 608007 Basilan, City Of Isabela [Province: Philippines] 608008 Bataan [Province: Philippines] 608010 Batangas [Province: Philippines] 608011 Benguet [Province: Philippines] 608012 Bohol [Province: Philippines] 608013 Bukidnon [Province: Philippines] 608014 Bulacan [Province: Philippines] 608015 Cagayan, Batanes [Province: Philippines] 608016 Camarines norte [Province: Philippines] 608017 Camarines Sur [Province: Philippines] 608018 Camiguin [Province: Philippines] 608019 Capiz [Province: Philippines] 608020 Catanduanes [Province: Philippines] 608021 Cavite [Province: Philippines] 608022 Cebu [Province: Philippines] 608023 Davao (Davao del Norte) [Province: Philippines] 608024 Davao del Sur, Davao Occidental [Province: Philippines] 608025 Davao Oriental [Province: Philippines] 608026 Eastern Samar [Province: Philippines] 608027 Ifugao [Province: Philippines] 608028 Ilocos Norte [Province: Philippines] 608029 Ilocos Sur [Province: Philippines] 608030 Iloilo, Guimaras [Province: Philippines] 608031 Isabela [Province: Philippines] 608032 Kalinga-Apayao, Apayo, Kalinga [Province: Philippines] 608033 La Union [Province: Philippines] 608034 Laguna [Province: Philippines] 608035 Lanao del Norte [Province: Philippines] 608036 Lanao del Sur, Maguindanao, Marawi City and Cotabato city [Province: Philippines] 608037 Leyte, Biliran [Province: Philippines] 608039 Manila [Province: Philippines] 608040 Marinduque [Province: Philippines] 608041 Masbate [Province: Philippines] 608042 Misamis Occidental [Province: Philippines] 608043 Misamis Oriental [Province: Philippines] 608044 Mountain Province [Province: Philippines] 608045 Negros Occidental [Province: Philippines] 608046 Negros Oriental [Province: Philippines] 608047 Cotabato (North Cotabato) [Province: Philippines] 608048 Northern Samar [Province: Philippines] 608049 Nueva Ecija [Province: Philippines] 608050 Nueva Vizcaya [Province: Philippines] 608051 Occidental Mindoro [Province: Philippines] 608052 Oriental Mindoro [Province: Philippines] 608053 Palawan [Province: Philippines] 608054 Pampanga [Province: Philippines] 608055 Pangasinan [Province: Philippines] 608056 Quezon [Province: Philippines] 608057 Quirino [Province: Philippines] 608058 Rizal [Province: Philippines] 608059 Romblon [Province: Philippines] 608060 Samar (Western Samar) [Province: Philippines] 608061 Siquijor [Province: Philippines] 608062 Sorsogon [Province: Philippines] 608063 South Cotabato, Sarangani [Province: Philippines] 608064 Southern Leyte [Province: Philippines] 608065 Sultan Kudarat [Province: Philippines] 608066 Sulu [Province: Philippines] 608067 Surigao Del Norte, Dinagat islands [Province: Philippines] 608068 Surigao del Sur [Province: Philippines] 608069 Tarlac [Province: Philippines] 608070 Tawi-Tawi [Province: Philippines] 608071 Zambales [Province: Philippines] 608072 Zamboanga Norte [Province: Philippines] 608073 Zamboanga del Sur, Zamboanga Sibugay [Province: Philippines] 608074 Manila Metro, 2nd District [Province: Philippines] 608075 Manila Metro, 3rd District [Province: Philippines] 608076 Manila Metro, 4th District [Province: Philippines] 608077 Aurora [Province: Philippines] 608097 Foreign country [Province: Philippines] 608098 Unknown [Province: Philippines] 608099 NIU (not in universe) [Province: Philippines] 642001 Alba [County: Romania] 642002 Arad [County: Romania] 642003 Arges [County: Romania] 642004 Bacau [County: Romania] 642005 Bihor [County: Romania] 642006 Bistrita Nasaud [County: Romania] 642007 Botosani [County: Romania] 642008 Brasov [County: Romania] 642009 Braila [County: Romania] 642010 Buzau [County: Romania] 642011 Caras Severin [County: Romania] 642012 Cluj [County: Romania] 642013 Constanta [County: Romania] 642014 Covasna [County: Romania] 642015 Dambovita [County: Romania] 642016 Dolj [County: Romania] 642017 Galati [County: Romania] 642018 Gorj [County: Romania] 642019 Harghita [County: Romania] 642020 Hunedoara [County: Romania] 642022 Iasi [County: Romania] 642024 Maramures [County: Romania] 642025 Mehedinti [County: Romania] 642026 Mures [County: Romania] 642027 Neamt [County: Romania] 642028 Olt [County: Romania] 642029 Prahova [County: Romania] 642030 Satu Mare [County: Romania] 642031 Salaj [County: Romania] 642032 Sibiu [County: Romania] 642033 Suceava [County: Romania] 642034 Teleorman [County: Romania] 642035 Timis [County: Romania] 642036 Tulcea [County: Romania] 642037 Vaslui [County: Romania] 642038 Valcea [County: Romania] 642039 Vrancea [County: Romania] 642043 Bucharest Sector 1 to 6 [County: Romania] 642051 Calarasi, Giurgiu, Ialomita, Ilfov [County: Romania] 642097 Foreign country [County: Romania] 642098 Unknown [County: Romania] 642099 NIU (not in universe) [County: Romania] 646002 Byumba, Kigali Ngali, Kigali Ville, Kibungo, Umutara [Province: Rwanda] 646003 Gitarama [Province: Rwanda] 646004 Butare [Province: Rwanda] 646005 Gikongoro [Province: Rwanda] 646006 Cyangugu [Province: Rwanda] 646007 Kibuye [Province: Rwanda] 646008 Gisenyi [Province: Rwanda] 646009 Ruhengeri [Province: Rwanda] 646097 Foreign Countries [Province: Rwanda] 646098 Unknown [Province: Rwanda] 646099 NIU [Province: Rwanda] 705001 Pomurska [Region: Slovenia] 705002 Podravska [Region: Slovenia] 705003 Koroška [Region: Slovenia] 705004 Savinjska [Region: Slovenia] 705005 Zasavska [Region: Slovenia] 705006 Spodnjeposavska [Region: Slovenia] 705007 Jugovzhodna Slovenija [Region: Slovenia] 705008 Osrednjeslovenska [Region: Slovenia] 705009 Gorenjska [Region: Slovenia] 705010 Notranjsko-kraška [Region: Slovenia] 705011 Goriška [Region: Slovenia] 705012 Obalno-kraška [Region: Slovenia] 705097 Abroad [Region: Slovenia] 705999 NIU (not in universe) [Region: Slovenia] 710001 Western Cape [Province: South Africa] 710004 Free State [Province: South Africa] 710005 Eastern Cape, KwaZulu-Natal [Province: South Africa] 710007 Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa] 710097 Foreign country [Province: South Africa] 710098 Unknown [Province: South Africa] 710099 NIU (not in universe) [Province: South Africa] 724011 Galicia [Communities & autonomous city: Spain] 724012 Principado de Asturias [Communities & autonomous city: Spain] 724013 Cantabria [Communities & autonomous city: Spain] 724021 País Vasco [Communities & autonomous city: Spain] 724022 Comunidad Foral de Navarra [Communities & autonomous city: Spain] 724023 La Rioja [Communities & autonomous city: Spain] 724024 Aragón [Communities & autonomous city: Spain] 724030 Comunidad de Madrid [Communities & autonomous city: Spain] 724041 Castilla y León [Communities & autonomous city: Spain] 724042 Castilla-La Mancha [Communities & autonomous city: Spain] 724043 Extremadura [Communities & autonomous city: Spain] 724051 Cataluña [Communities & autonomous city: Spain] 724052 Comunidad Valenciana [Communities & autonomous city: Spain] 724053 Islas Baleares [Communities & autonomous city: Spain] 724061 Andalucía [Communities & autonomous city: Spain] 724062 Región de Murcia [Communities & autonomous city: Spain] 724063 Ciudad Autónoma de Ceuta [Communities & autonomous city: Spain] 724064 Ciudad Autónoma de Melilla [Communities & autonomous city: Spain] 724070 Canarias [Communities & autonomous city: Spain] 724097 Abroad [Communities & autonomous city: Spain] 724999 NIU (not in universe) [Communities & autonomous city: Spain] 740001 Paramaribo [District: Suriname] 740002 Wanica [District: Suriname] 740003 Nickerie [District: Suriname] 740005 Saramacca, Coronie [District: Suriname] 740006 Marowijne, Commewijne [District: Suriname] 740008 Brokopondo, Para [District: Suriname] 740010 Sipaliwini [District: Suriname] 740096 Suriname, district unknown [District: Suriname] 740097 Foreign [District: Suriname] 740098 Unknown [District: Suriname] 764010 Bangkok [Province: Thailand] 764011 Samut Prakan [Province: Thailand] 764012 Nonthaburi [Province: Thailand] 764013 Pathum Thani [Province: Thailand] 764014 Phra Nakhon Si Ayutthaya [Province: Thailand] 764015 Ang Thong [Province: Thailand] 764016 Lop Buri [Province: Thailand] 764017 Sing Buri [Province: Thailand] 764018 Chai Nat [Province: Thailand] 764019 Sa Kaeo, Prachin Buri [Province: Thailand] 764020 Chon Buri [Province: Thailand] 764021 Rayong [Province: Thailand] 764022 Chanthaburi [Province: Thailand] 764023 Trat [Province: Thailand] 764024 Chachoengsao [Province: Thailand] 764026 Nakhon Nayok [Province: Thailand] 764027 Saraburi [Province: Thailand] 764030 Nakhon Ratchasima [Province: Thailand] 764031 Buri Ram [Province: Thailand] 764032 Surin [Province: Thailand] 764033 Si Sa Ket [Province: Thailand] 764034 Ubon Ratchathani, Yasothon, Amnat Charoen [Province: Thailand] 764036 Chaiyaphum [Province: Thailand] 764039 Nong Bua Lam Phu, Udon Thani [Province: Thailand] 764040 Khon Kaen [Province: Thailand] 764042 Loei [Province: Thailand] 764043 Nong Khai [Province: Thailand] 764044 Maha Sarakham [Province: Thailand] 764045 Roi Et [Province: Thailand] 764046 Kalasin [Province: Thailand] 764047 Sakon Nakhon [Province: Thailand] 764048 Nakhon Phanom, Mukdahan [Province: Thailand] 764050 Chiang Mai [Province: Thailand] 764051 Lamphun [Province: Thailand] 764052 Lampang [Province: Thailand] 764053 Uttaradit [Province: Thailand] 764054 Phrae [Province: Thailand] 764055 Nan [Province: Thailand] 764057 Phayao, Chiang Rai [Province: Thailand] 764058 Mae Hong Son [Province: Thailand] 764060 Nakhon Sawan [Province: Thailand] 764061 Uthai Thani [Province: Thailand] 764062 Kamphaeng Phet [Province: Thailand] 764063 Tak [Province: Thailand] 764064 Sukhothai [Province: Thailand] 764065 Phitsanulok [Province: Thailand] 764066 Phichit [Province: Thailand] 764067 Phetchabun [Province: Thailand] 764070 Ratchaburi [Province: Thailand] 764071 Kanchanaburi [Province: Thailand] 764072 Suphanburi [Province: Thailand] 764073 Nakhon Pathom [Province: Thailand] 764074 Samut Sakhon [Province: Thailand] 764075 Samut Songkhram [Province: Thailand] 764076 Phetchaburi [Province: Thailand] 764077 Prachuap Khiri Khan [Province: Thailand] 764080 Nakhon Si Thammarat [Province: Thailand] 764082 Phangnga [Province: Thailand] 764083 Phuket [Province: Thailand] 764084 Krabi, Surat Thani [Province: Thailand] 764086 Ranong, Chumphon [Province: Thailand] 764090 Songkhla [Province: Thailand] 764091 Satun [Province: Thailand] 764092 Trang [Province: Thailand] 764093 Phatthalung [Province: Thailand] 764094 Pattani [Province: Thailand] 764095 Yala [Province: Thailand] 764096 Narathiwat [Province: Thailand] 764097 Same province [Province: Thailand] 764098 Unknown province, but within Thaliand [Province: Thailand] 764997 Abroad [Province: Thailand] 764998 Unknown [Province: Thailand] 764999 NIU (not in universe) [Province: Thailand] 768001 Maritime, Lomé [Region: Togo] 768002 Plateaux, Centrale, Kara [Region: Togo] 768003 Savanes [Region: Togo] 768097 Foreign Country [Region: Togo] 768098 Unknown [Region: Togo] 768099 NIU [Region: Togo] 780010 Port of Spain [Region: Trinidad and Tobago] 780020 San Fernando [Region: Trinidad and Tobago] 780080 Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin, Caroni, St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago] Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin, Caroni, St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago] 780094 St. Paul, St. Mary, St. David, St. George, St. Patrick, St. Andrew, St. John, Tobago [Region: Trinidad and Tobago] 780098 Unknown [Region: Trinidad and Tobago] 800101 Kalangala [District: Uganda] 800102 Kampala [District: Uganda] 800103 Kiboga, Kyankwanzi [District: Uganda] 800104 Luwero, Nakasongola, Nakaseke [District: Uganda] 800105 Masaka, Ssembabule, Bukomansimbi, Kalungu, Lwengo [District: Uganda] 800106 Mpigi, Wakiso, Butambala, Gomba [District: Uganda] 800107 Mubende, Mityana [District: Uganda] 800108 Mukono, Kayunga, Buikwe, Buvuma [District: Uganda] 800110 Rakai, Lyantonde [District: Uganda] 800201 Bugiri, Iganga, Mayuge, Namutumba, Luuka, Namayingo [District: Uganda] 800202 Busia, Tororo, Butaleja [District: Uganda] 800204 Jinja [District: Uganda] 800205 Kamuli, Kaliro, Buyende [District: Uganda] 800206 Kapchorwa, Bukwo, Kween [District: Uganda] 800207 Katakwi, Soroti, Kaberamaido, Amuria, Serere [District: Uganda] 800208 Kumi, Bukedea, Ngora [District: Uganda] 800209 Mbale, Sironko, Bududa, Manafwa, Bulambuli [District: Uganda] 800210 Pallisa, Budaka, Kibuku [District: Uganda] 800301 Adjumani, Moyo [District: Uganda] 800302 Apac, Oyam, Kole [District: Uganda] 800303 Arua, Yumbe, Koboko, Maracha [District: Uganda] 800304 Gulu, Amuru, Nwoya, Omoro [District: Uganda] 800305 Kitgum, Pader, Agago, Lamwo [District: Uganda] 800306 Kotido, Moroto, Nakapiripirit, Abim, Kaabong, Amudat, Napak [District: Uganda] 800307 Lira, Amolatar, Dokolo, Alebtong, Otuke [District: Uganda] 800310 Nebbi, Zombo [District: Uganda] 800401 Bundibugyo, Ntoroko [District: Uganda] 800402 Bushenyi, Mbarara, Ntungamo, Ibanda, Isingiro, Kiruhura, Buhweju, Mitooma, Rubirizi, Sheema [District: Uganda] 800403 Hoima [District: Uganda] 800404 Kabale, Rubanda [District: Uganda] 800405 Kabarole, Kamwenge, Kyenjojo, Kyegegwa [District: Uganda] 800406 Kasese [District: Uganda] 800407 Kibaale, Kagadi, Kakumiro [District: Uganda] 800408 Kisoro [District: Uganda] 800409 Masindi, Buliisa, Kiryandongo [District: Uganda] 800412 Rukungiri, Kanungu [District: Uganda] 800096 Visitor [District: Uganda] 800097 Foreign country [District: Uganda] 800098 Unknown [District: Uganda] 804001 The Autonomous Republic of Crimea [Region: Ukraine] 804005 Vinnytska oblast [Region: Ukraine] 804007 Volynska oblast [Region: Ukraine] 804012 Dnipropetrovska oblast [Region: Ukraine] 804014 Donetska oblast [Region: Ukraine] 804018 Zhytomyrska oblast [Region: Ukraine] 804021 Zakarpatska oblast [Region: Ukraine] 804023 Zaporizka oblast [Region: Ukraine] 804026 Ivano-Frankivska oblast [Region: Ukraine] 804032 Kyivska oblast [Region: Ukraine] 804035 Kirovohradska oblast [Region: Ukraine] 804044 Luhanska oblast [Region: Ukraine] 804046 Lvivska oblast [Region: Ukraine] 804048 Mykolaivska oblast [Region: Ukraine] 804051 Odeska oblast [Region: Ukraine] 804053 Poltavska oblast [Region: Ukraine] 804056 Rivnenska oblast [Region: Ukraine] 804059 Sumska oblast [Region: Ukraine] 804061 Ternopilska oblast [Region: Ukraine] 804063 Kharkivska oblast [Region: Ukraine] 804065 Khersonska oblast [Region: Ukraine] 804068 Khmelnytska oblast [Region: Ukraine] 804071 Cherkaska oblast [Region: Ukraine] 804073 Chernivetska oblast [Region: Ukraine] 804074 Chernihivska oblast [Region: Ukraine] 804080 Kyiv (independent city) [Region: Ukraine] 804085 Sevastopol (independent city) [Region: Ukraine] 804097 Foreign country [Region: Ukraine] 804098 Unknown [Region: Ukraine] 804099 NIU (not in universe) [Region: Ukraine] 858001 Montevideo [Department: Uruguay] 858002 Artigas [Department: Uruguay] 858003 Canelones [Department: Uruguay] 858004 Cerro Largo [Department: Uruguay] 858005 Colonia [Department: Uruguay] 858006 Durazno [Department: Uruguay] 858007 Flores [Department: Uruguay] 858008 Florida [Department: Uruguay] 858009 Lavalleja [Department: Uruguay] 858010 Maldonado [Department: Uruguay] 858011 Paysandú [Department: Uruguay] 858012 Río Negro [Department: Uruguay] 858013 Rivera [Department: Uruguay] 858014 Rocha [Department: Uruguay] 858015 Salto [Department: Uruguay] 858016 San Jose [Department: Uruguay] 858017 Soriano [Department: Uruguay] 858018 Tacuarembó [Department: Uruguay] 858019 Treinta Y Tres [Department: Uruguay] 858097 Abroad [Department: Uruguay] 858098 Unknown [Department: Uruguay] 858999 NIU (not in universe) [Department: Uruguay] 862001 Federal District, Vargas [State: Venezuela] 862002 Amazonas Federal Territory [State: Venezuela] 862003 Anzoátegui [State: Venezuela] 862004 Apure [State: Venezuela] 862005 Aragua [State: Venezuela] 862007 Bolívar [State: Venezuela] 862008 Carabobo [State: Venezuela] 862009 Cojedes [State: Venezuela] 862010 Amacuros Delta Federal Territory [State: Venezuela] 862011 Falcón [State: Venezuela] 862012 Guárico [State: Venezuela] 862013 Lara [State: Venezuela] 862014 Barinas, Mérida [State: Venezuela] 862015 Miranda [State: Venezuela] 862016 Monagas [State: Venezuela] 862017 Nueva Esparta, Federal Dependencies [State: Venezuela] 862018 Portuguesa [State: Venezuela] 862019 Sucre [State: Venezuela] 862020 Táchira [State: Venezuela] 862021 Trujillo [State: Venezuela] 862022 Yaracuy [State: Venezuela] 862023 Zulia [State: Venezuela] 862097 Foreign country [State: Venezuela] 862098 Unknown [State: Venezuela] 862099 NIU (not in universe) [State: Venezuela] Migration: Global Variables -- PERSON 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, Cuba; consistent boundaries, GIS MIG1_P_CU indicates the person's province of previous residence within Cuba. The migration could have occurred at any time in the person's life. Migration province codes in MIG1_P_CU are compatible with codes in GEO1_CU. 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. 192021 Pinar del Río, Artemisa, Mayabeque 192023 La Habana 192025 Matanzas 192026 Villa Clara 192027 Cienfuegos 192028 Sancti Spíritus 192029 Ciego de Ávila 192030 Camagüey 192031 Las Tunas 192032 Holguín 192033 Granma 192034 Santiago de Cuba 192035 Guantánamo 192040 Isla de la Juventud 192997 Abroad 192998 Unknown Migration: A-E Variables -- PERSON Municipality of previous residence, Cuba; consistent boundaries, GIS MIG2_P_CU indicates the person's municipality of previous residence within Cuba. Migration municipality codes from MIG2_P_CU are compatible with codes from GEO2_CU. 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. 192021001 Pinar del Río 192021002 Güira de Melena, Batabanó, Quivicán 192021003 Consocaión del Sur 192021004 Artemisa 192021005 San José de las Lajas 192021006 San Cristobal 192021007 Güines, Melena del Sur 192021008 San Antonio de los Baños 192021009 Bauta 192021010 Mariel 192021011 San Juan y Martínez 192021012 Bahía Honda 192021013 Caimito 192021014 Los Palacios 192021015 Sandino 192021016 Guane 192021017 La Palma 192021018 Santa Cruz del Norte 192021019 San Luis 192021020 Minas de Matahambre 192021021 Alquizar 192021022 Madruga 192021023 Guanajay 192021024 Viñales 192021025 Bejucal 192021026 Nueva Paz 192021027 Mantua 192021028 Jaruco 192021029 San Nicolás 192021030 Candelaria 192021998 Unknown municipalities in Pinar del Rio, Artemisa, and Mayabeque provinces 192023001 La Lisa, Boyeros, Marianao, Cerro, Playa 192023002 Diez de Octubre 192023003 Arroyo Naranjo 192023004 La Habana del Este 192023005 San Miguel del Padrón 192023006 Plaza de la Revolución 192023007 Centro Habana 192023008 Guanabacoa 192023009 La Havana Vieja 192023010 Cotorro 192023011 Regla 192023998 Unknown municipality in La Habana province 192025001 Matanzas 192025002 Cárdenas 192025003 Calimete, Colón 192025004 Jagüey Grande 192025005 Jovellanos 192025006 Unión de Reyes, Ciénaga de Zapata 192025007 Pedro Betancourt 192025008 Perico 192025009 Limonar 192025010 Los Arabos 192025011 Martí 192025998 Unknown municipality in Matanzas province 192026001 Santa Clara, Ranchuelo, Cifuentes, Camajuaní, Encrucijada 192026002 Remedios, Caibarién 192026003 Placetas 192026004 Manicaragua 192026005 Sagua la Grande 192026006 Santo Domingo 192026007 Corralillo 192026008 Quemado de Güines 192026998 Unknown municipality in Villa Clara province 192027001 Cienfuegos 192027002 Cumanayagua 192027003 Rodas 192027004 Palmira 192027005 Aguada de Pasajeros 192027006 Cruces 192027007 Abreus 192027008 Lajas 192027998 Unknown municipality in Cienfuegos province 192028001 Sancti Spíritus 192028002 Trinidad 192028003 Cabaiguán 192028004 La Sierpe, Jatibonico 192028005 Yaguajay 192028006 Taguasco 192028007 Fomento 192028998 Unknown municipality in Sancti Spiritus province 192029001 Ciego de Ávila 192029002 Bolivia, Morón 192029003 Venezuela, Baraguá 192029004 Florencia, Chambas 192029005 Majagua, Ciro Redondo 192029006 Primero de Enero 192029998 Unknown municipality in Ciego de Avila province 192030001 Camagüey 192030002 Guáimaro, Nuevitas 192030003 Florida 192030004 Najasa, Vertientes 192030005 Minas, Sierra de Cubitas 192030006 Santa Cruz del Sur 192030007 Sibanicú 192030008 Esmeralda 192030009 Carlos Manuel de Céspede 192030010 Jimaguayú 192030998 Unknown municipality in Camaguey province 192031001 Majibacoa, Las Tunas 192031002 Puerto Padre 192031003 Jesús Menéndez 192031004 Jobabo 192031005 Amancio 192031006 Colombia 192031007 Manatí 192031998 Unknown municipality in Las Tunas province 192032001 Holguín 192032002 Moa, Sagua de Tánamo 192032003 Mayarí 192032004 Banes, Antilla 192032005 Urbano Noris, Cacocum 192032006 Gibara 192032007 Calixto García 192032008 Rafael Freyre 192032009 Báguanos 192032010 Cueto 192032011 Frank País 192032998 Unknown municipality in Holguin province 192033001 Bayamo 192033002 Manzanillo 192033003 Jiguaní, Cauto Cristo 192033004 Yara 192033005 Bartolomé Masó 192033006 Guisa 192033007 Río Cauto 192033008 Campechuela 192033009 Niquero 192033010 Media Luna 192033011 Buey Arriba 192033012 Pilón 192033998 Unknown municipality in Granma province 192034001 Santiago de Cuba 192034002 Songo - La Maya, San Luis 192034003 Palma Soriano 192034004 Contramaestre 192034005 Segundo Frente 192034006 Mella 192034007 Guamá 192034008 Tercer Frente 192034998 Unknown municipality in Santiago de Cuba province 192035001 Manuel Tames, Guantánamo 192035002 Baracoa 192035003 San Antonio del Sur, Yateras 192035004 El Salvador 192035005 Maisí 192035006 Caimanera, Niceto Pérez 192035007 Imías 192035998 Unknown municipality in Guantanamo province 192040001 Isla de la Juventud 192997997 Foreign Country 192998998 Unknown Migration: A-E Variables -- PERSON Employment disability DISEMP indicates if the respondent was economically inactive because of disabilities or, in some instances, other health-related reasons. 1 Disabled 2 Not disabled 8 Unknown 9 NIU (not in universe) Disability Variables -- PERSON Person number (within household) Cuba 2002: All persons This variable indicates the person number (within the household). 00 Household record 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 Technical Person Variables -- PERSON Relationship <span class="em">Section IV. Information about the person</span></p> <p><svar v="CU02A401" a="all">2. What relationship does this person have to the head of household?<br /><div class="i1">[] 0 Head of household<br />[] 1 Spouse or companion<br />[] 2 Son/daughter<br />[] 3 Step-son/step-daughter<br />[] 4 Daughter/son-in-law<br />[] 5 Grandson/granddaughter<br />[] 6 Parents or parents-in-law<br />[] 7 Other relative<br />[] 8 Other non-relative</div><br /></svar> <svar v="CU02A401" a="all"><span class="em">Question 2. Relationship or affiliation with the head of household.</span><br /><br />[Illustration]<br /><br />Second page<br />[x] 0 Head of household<br /><br />Third page<br />2. What relationship or affiliation do you have with the Head of Household (male or female)? Only one mark:<br /><div class="i1">[] 1 Spouse or companion<br />[] 2 Son/daughter<br />[] 3 Step-don/step-daughter<br />[] 4 Daughter-in-law/son-in-law<br />[] 5 Grandchild<br />[] 6 Parents or parents-in-law<br />[] 7 Other relative<br />[] 8 Other non-relative<br />[] 9 Member of a collective dwelling -- Continue with question 4</div><br /><br />Fourth page and the rest of the pages<br /><br />2. What relationship or affiliation do you have with the Head of Household (male or female)? Only one mark:<br /><div class="i1">[] 2 Son/daughter<br />[] 3 Step-don/step-daughter<br />[] 4 Daughter-in-law/son-in-law<br />[] 5 Grandchild<br />[] 6 Parents or parents-in-law<br />[] 7 Other relative<br />[] 8 Other non-relative<br />[] 9 Member of a collective dwelling -- Continue with question 4</div><br /><br />The object of question 2 is to know the family relationship to or cohabiting relationship with the person enumerated with the Head of household.<br /><br />In the "Private dwellings", or "Work spaces", the second page of the Questionnaire is only used for the Head of household, where the mark in box "0" is pre-printed.<br /><br />In the "Collective dwellings", this page will be utilized for the Head of household of the collective, whenever he/she resides permanently in the same. If not, you will nullify said page with two crossed diagonal lines.<br /><br />Starting with page 3 of the Questionnaire, you will mark the corresponding box in agreement with the relationship that the person has in regards to the head of Household, which might be spouse, child, son/daughter-in-law, etc.<br /><br />This question can be asked in such a way that it serves as confirmation of what was already stated by the interviewee when form C-1b was prepared.<br /></svar> Cuba 2002: All persons This variable indicates the person's relationship to the head of household. 0 Head of household 1 Spouse or companion 2 Son or daughter 3 Stepson or stepdaughter 4 Daughter-in-law or son-in-law 5 Grandchild 6 Parents or parents-in-law 7 Other relative 8 Other non-relative 9 Member of a collective Demographic Variables -- PERSON Position of parent in the household <span class="em">Section IV. Information about the person</span></p> <p><svar v=" CU02A402 CU02A403" a="all">3. Order number of the mother (or father) and of the spouse in the questionnaire<br />*If he/she does not form part of this household, write "00"<br />Son/daughter of [_ _]<br />Spouse of [_ _]<br /></svar> <svar v="CU02A402 CU02A403" a="all"><span class="em">Question 3. Order number of the mother (or father) and the spouse in the questionnaire.</span><br /><br />This question is for linking each child with his/her mother and/or father, and each spouse/companion with his/her spouse/companion and vice versa, noting the order number that has been assigned in the census questionnaire to the person. This is the importance of having previously carefully numbered all of the members of the household. This question is not asked; rather, you are the one who should place the corresponding numbers for each couple or the parents of each persons, as will be explained. This has the goal of building the families.<br /><br />[illustration]<br />3. Order number of the mother (or father) and the spouse in the questionnaire.<br />(If this person is not part of this household, write "00".)<br /><div class="i1">Son/daughter of [ _ _ ]<br />Spouse of [ _ _ ]</div><br /><br />The Order Number is the one that was noted in question 1, in the box that follows "Person Number" before "Name(s) and last names" (that of the Head of Household appears pre-printed and is number 01).<br /><div class="i1">Son/daughter of [_ _]</div><br />In this space you will note the order number (which appears in question 1 as Person Number), which corresponds to the mother of the person you are enumerating, if she lives with him/her in the same census household. If this is not the case, you will write the number of the father and if neither of them lives in the household, you will write "00".<br /><br />The mother or father whose order number (Person Number) is noted on the page for the child in this question 3, can have any civil or conjugal status, because we also include the children of single mothers or single fathers.<br /><br />For the step-sons/daughters or adopted sons/daughters you will note the order number (Person Number) of the step-mother or adoptive mother and if she does not live in the household, you will note the number of the step-father or adoptive father.<br /><br />Spouse of [_ _]<br />For the effects of the Census, this is one of the two members of a normal relationship of husband-wife between persons who are legally married or in a stable consensual union, who are of different sex.<br /><br />In the space you will note, reciprocally for each of the members of a couple that co-habits in the household, the number of the questionnaire (Person Number) of the enumerated spouse, which appears in the line designated in question 1, if he/she is a member of the household. If not, you will write "00".<br /><br />Once you have completed Section IV of the questionnaire, verify that the persons in this question who have the annotation for the number of the spouse, should have reciprocal numbers with the spouse, should have the marital or civil status of married or in a consensual union (question 15). If this is not the case, the answer should be "00".<br /><br /></svar> Cuba 2002: All persons This variable indicates the position of the mother (or the father) in the household. 00 No parent in the household 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 17 17 99 Unknown (no parent identified) Constructed Family Interrelationship Variables -- PERSON Position of spouse in the household <span class="em">Section IV. Information about the person</span></p> <p><svar v=" CU02A402 CU02A403" a="all">3. Order number of the mother (or father) and of the spouse in the questionnaire<br />*If he/she does not form part of this household, write "00"<br />Son/daughter of [_ _]<br />Spouse of [_ _]<br /></svar> <svar v="CU02A402 CU02A403" a="all"><span class="em">Question 3. Order number of the mother (or father) and the spouse in the questionnaire.</span><br /><br />This question is for linking each child with his/her mother and/or father, and each spouse/companion with his/her spouse/companion and vice versa, noting the order number that has been assigned in the census questionnaire to the person. This is the importance of having previously carefully numbered all of the members of the household. This question is not asked; rather, you are the one who should place the corresponding numbers for each couple or the parents of each persons, as will be explained. This has the goal of building the families.<br /><br />[illustration]<br />3. Order number of the mother (or father) and the spouse in the questionnaire.<br />(If this person is not part of this household, write "00".)<br /><div class="i1">Son/daughter of [ _ _ ]<br />Spouse of [ _ _ ]</div><br /><br />The Order Number is the one that was noted in question 1, in the box that follows "Person Number" before "Name(s) and last names" (that of the Head of Household appears pre-printed and is number 01).<br /><div class="i1">Son/daughter of [_ _]</div><br />In this space you will note the order number (which appears in question 1 as Person Number), which corresponds to the mother of the person you are enumerating, if she lives with him/her in the same census household. If this is not the case, you will write the number of the father and if neither of them lives in the household, you will write "00".<br /><br />The mother or father whose order number (Person Number) is noted on the page for the child in this question 3, can have any civil or conjugal status, because we also include the children of single mothers or single fathers.<br /><br />For the step-sons/daughters or adopted sons/daughters you will note the order number (Person Number) of the step-mother or adoptive mother and if she does not live in the household, you will note the number of the step-father or adoptive father.<br /><br />Spouse of [_ _]<br />For the effects of the Census, this is one of the two members of a normal relationship of husband-wife between persons who are legally married or in a stable consensual union, who are of different sex.<br /><br />In the space you will note, reciprocally for each of the members of a couple that co-habits in the household, the number of the questionnaire (Person Number) of the enumerated spouse, which appears in the line designated in question 1, if he/she is a member of the household. If not, you will write "00".<br /><br />Once you have completed Section IV of the questionnaire, verify that the persons in this question who have the annotation for the number of the spouse, should have reciprocal numbers with the spouse, should have the marital or civil status of married or in a consensual union (question 15). If this is not the case, the answer should be "00".<br /><br /></svar> Cuba 2002: All persons This variable indicates the position of the spouse in the household. 00 No spouse in the household 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 99 Unknown (no spouse identified) Constructed Family Interrelationship Variables -- PERSON Sex <span class="em">Section IV. Information about the person</span></p> <p><svar v="CU02A404" a="all">4. Is this person male or female? <br /><div class="i1">(Mark only one)<br /><br />[] 1 Male<br />[] 3 Female</div><br /></svar> <svar v="CU02A404" a="all"><span class="em">Question 4. Is the person a male or female?</span><br /><br />[illustration]<br />4. Is the person a male or female? (only one mark)<br /><div class="i1">[] 1 Male<br />[] 3 Female</div><br /><br />This question is very simple, you should only mark if the person is a male (box 1) or female (box 3).<br /><br />If the person is present, do not ask, just mark the box. If the person is not present, you should ask if the person is male or female. The question refers to the biological sex of the person.<br /></svar> Cuba 2002: All persons This variable indicates the person's gender. 1 Male 2 Female Demographic Variables -- PERSON Age <span class="em">Section IV. Information about the person</span></p> <p><svar v="CU02A405" a="all">5. What is the birth-date and age in years completed?<br /><div class="i1">Day____ <br />Month____ <br />Year____<br />Age _ _ _</div><br /></svar> <svar v="CU02A405" a="all"><br /><span class="em">Question 5. What is his/her birth date and age in years completed?</span><br /><br />When you arrive at question 5, you should register the day, month, and year of birth, as well as the age. For this, you should ask the person for the day, month, and year, then note the age without asking for it.<br /><br />[illustration]<br />5. What is his/her birth date and age in years completed?<br /><div class="i1">Day ____ / Month _____ / Year ____<br />Age [ _ _ _ ]</div><br /><br />For noting the age, use the "Conversion Table for dates of birth to years completed for the Census Day", which appears in Annex 1 of the present manual, noting "00" for those who are less than one year old.<br /><br />If the person does not remember the date of his/her birth, you will register the age in completed years in the corresponding space, marking dashes in the spaces for day, month, and year.<br /><br />If the person does not remember even his/her age, you should refer to historic references to help him/her determine his/her age, as for example:<br /><br />Years<br />Second North American Intervention 1906<br />Beginning of the "Vacas Gordas" 1915<br />The bank crash 1920<br />The Fall of Machado 1933<br />The end of the Second World War 1945<br />Triumph of the Cuban Revolution 1959<br /><br />In general, the person who do not remember their age tend to give it in numbers that end in 0 or 5, answering, 20, 35, 40 years old, etc. In these cases, you should not write these ages, but you should ask the person again to try to get an exact age by increasing or decreasing the age, and therefore avoid the error produced by the generalized practice of declaring ages ending in "0 or 5".<br /></svar> Cuba 2002: All persons This variable indicates the person's age, in completed years. 000 0 001 1 002 2 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100+ Demographic Variables -- PERSON Skin color <span class="em">Section IV. Information about the person</span></p> <p><svar v="CU02A406" a="all">6. What is the skin color? <br /><div class="i1">(Mark only one)<br /><br />[] 1 White<br />[] 2 Black<br />[] 3 Mestizo or mulato</div><br /></svar> <svar v="CU02A406" a="all"><span class="em">Question 6. What is your skin color?</span><br /><br />With this question, we want to know the color of the skin of the persons who are enumerated, with the objective of carrying out demographic studies of the Cuban population.<br /><br />[illustration]<br />6. What is your skin color? (only one mark)<br /><div class="i1">[] 1 White<br />[] 2 Black<br />[] 3 Mestizo or Mulato</div><br /><br />For this, we will classify the color of skin in three characteristics: white, black, and mulato or mestizo.<br /><br />As you can appreciate, these categories reflect the concept that the population commonly holds and will not investigate the race in the ethnic sense, but only skin color.<br /><br />You should mark the corresponding box, considering the following:<br /><div class="i1">- If the person is present, do not ask the question and mark the answer according to your observation.<br />- If the person is not present, ask about skin color of the absent person with the person who gives you the information, mentioning the three alternatives so that she can choose.</div><br /><br /><span class="pg">[Header: Instructions for the use of the Enumerator / Section IV. Information about the Person -- 55]</span><br /><br /><div class="i1">- Despite the above, you should avoid asking the skin color of the person who is absent if it is evident, for example, if the parents are present in the interview and they belong to the same color or when all of the family if white, black, etc.</div><br /><br />If you have any doubt, you can apply these simple rules to determine the skin color:<br /><div class="i1">- White: In this group, consider those whose skin color looks white. Include those who have Asian aspects, but with dominant characteristics of white skin.<br />- Black: In this group, consider those who skin tone is dark caramel color or black.<br />- Mulato or Mestizo: You should include all of the persons who present mestizo characteristic between black and white or Asian and black, as well as Asians. Also considered here are those called mulatos, Indians, and the albinos.</div><br /></svar> Cuba 2002: All persons This variable indicates the person's skin color. 1 White 2 Black 3 Mixed race Ethnicity and Language Variables -- PERSON Birth place <span class="em">Section IV. Information about the person</span></p> <p><svar v=" CU02A407 CU02A408 CU02A409 CU02A410" a="all">7. Where did your mother reside when you were born?<br /><div class="i1">[] 1 In this municipality - Continue with question 8<br />[] 3 In another municipality in the country - (indicate the name of the municipality, province, or country)</div><br /><div class="i2">Municipality ______<br />Province ______<br />Country ______</div><br /><div class="i1">[] 9 Does not know</div><br /></svar> <svar v="CU02A407 CU02A408 CU02A409 CU02A410" a="all"><span class="em">Question 7. Where did your mother reside when you were born?</span><br /><br />With this question we want to know the municipality or country where the interviewee resided at the time of birth, for which the question focuses on residency of the mother at this time, since the person could have been born in a different municipality or country from where the mother resided permanently.<br /><br />[illustration]<br />7. Where did your mother reside when you were born?<br /><div class="i1">[] 1 In this municipality -- Continue with question 8.<br />[] 3 In another municipality or country</div><br /><div class="i2">In which municipality, province or country<br />Municipality____<br />Province____<br />Country____</div><br /><div class="i1">[] 9 Does not know</div><br /><br />(Note) Do not make any notes.<br /><br />The question should be asked in the following manner: Where did your mother reside when you were born, in this municipality or in another municipality or country?<br /><br />If he/she responds "in this municipality", this means that it is the same municipality where you are doing the interview, for which you should mark box 1 and continue with question 10.<br /><br />If, on the other hand, he/she responds "in another municipality or country", box 3, then we ask in which municipality, province or country, noting the names of the municipality, province, or country on the line.<br />In the case where the municipality and the province correspond to Cuba, you will not write the name of the country. This will only be used for the case of a person born in another country.<br /><br />If the person tells us that he/she does not know in which municipality his/her mother resided, you will mark box 9, "does not know".<br /><br />You should take into account that we are referring to the current Political Administrative Division, which means, Santiago de Cuba, Las Tunas and not Provincia Oriente [Eastern Province]. This is valid for countries: Not URSS, but rather Russia, Belorussia, Lithuania, etc.<br /></svar> Cuba 2002: All persons This variable indicates whether the person was born in the present municipality or in a different one. 1 In this municipality 2 In other municipality or abroad Nativity and Birthplace Variables -- PERSON Country of birth <span class="em">Section IV. Information about the person</span></p> <p><svar v=" CU02A407 CU02A408 CU02A409 CU02A410" a="all">7. Where did your mother reside when you were born?<br /><div class="i1">[] 1 In this municipality - Continue with question 8<br />[] 3 In another municipality in the country - (indicate the name of the municipality, province, or country)</div><br /><div class="i2">Municipality ______<br />Province ______<br />Country ______</div><br /><div class="i1">[] 9 Does not know</div><br /></svar> <svar v="CU02A407 CU02A408 CU02A409 CU02A410" a="all"><span class="em">Question 7. Where did your mother reside when you were born?</span><br /><br />With this question we want to know the municipality or country where the interviewee resided at the time of birth, for which the question focuses on residency of the mother at this time, since the person could have been born in a different municipality or country from where the mother resided permanently.<br /><br />[illustration]<br />7. Where did your mother reside when you were born?<br /><div class="i1">[] 1 In this municipality -- Continue with question 8.<br />[] 3 In another municipality or country</div><br /><div class="i2">In which municipality, province or country<br />Municipality____<br />Province____<br />Country____</div><br /><div class="i1">[] 9 Does not know</div><br /><br />(Note) Do not make any notes.<br /><br />The question should be asked in the following manner: Where did your mother reside when you were born, in this municipality or in another municipality or country?<br /><br />If he/she responds "in this municipality", this means that it is the same municipality where you are doing the interview, for which you should mark box 1 and continue with question 10.<br /><br />If, on the other hand, he/she responds "in another municipality or country", box 3, then we ask in which municipality, province or country, noting the names of the municipality, province, or country on the line.<br />In the case where the municipality and the province correspond to Cuba, you will not write the name of the country. This will only be used for the case of a person born in another country.<br /><br />If the person tells us that he/she does not know in which municipality his/her mother resided, you will mark box 9, "does not know".<br /><br />You should take into account that we are referring to the current Political Administrative Division, which means, Santiago de Cuba, Las Tunas and not Provincia Oriente [Eastern Province]. This is valid for countries: Not URSS, but rather Russia, Belorussia, Lithuania, etc.<br /></svar> Cuba 2002: Persons born abroad [discrepancies: not verifiable] This variable indicates the person's country of birth. 004 Afghanistan 009 Oceania 156 China 276 Germany 332 Haiti 388 Jamaica 484 Mexico 643 Russian Federation 724 Spain 804 Ukraine 840 United States 997 Other country, response suppressed 999 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Province of birth <span class="em">Section IV. Information about the person</span></p> <p><svar v=" CU02A407 CU02A408 CU02A409 CU02A410" a="all">7. Where did your mother reside when you were born?<br /><div class="i1">[] 1 In this municipality - Continue with question 8<br />[] 3 In another municipality in the country - (indicate the name of the municipality, province, or country)</div><br /><div class="i2">Municipality ______<br />Province ______<br />Country ______</div><br /><div class="i1">[] 9 Does not know</div><br /></svar> <svar v="CU02A407 CU02A408 CU02A409 CU02A410" a="all"><span class="em">Question 7. Where did your mother reside when you were born?</span><br /><br />With this question we want to know the municipality or country where the interviewee resided at the time of birth, for which the question focuses on residency of the mother at this time, since the person could have been born in a different municipality or country from where the mother resided permanently.<br /><br />[illustration]<br />7. Where did your mother reside when you were born?<br /><div class="i1">[] 1 In this municipality -- Continue with question 8.<br />[] 3 In another municipality or country</div><br /><div class="i2">In which municipality, province or country<br />Municipality____<br />Province____<br />Country____</div><br /><div class="i1">[] 9 Does not know</div><br /><br />(Note) Do not make any notes.<br /><br />The question should be asked in the following manner: Where did your mother reside when you were born, in this municipality or in another municipality or country?<br /><br />If he/she responds "in this municipality", this means that it is the same municipality where you are doing the interview, for which you should mark box 1 and continue with question 10.<br /><br />If, on the other hand, he/she responds "in another municipality or country", box 3, then we ask in which municipality, province or country, noting the names of the municipality, province, or country on the line.<br />In the case where the municipality and the province correspond to Cuba, you will not write the name of the country. This will only be used for the case of a person born in another country.<br /><br />If the person tells us that he/she does not know in which municipality his/her mother resided, you will mark box 9, "does not know".<br /><br />You should take into account that we are referring to the current Political Administrative Division, which means, Santiago de Cuba, Las Tunas and not Provincia Oriente [Eastern Province]. This is valid for countries: Not URSS, but rather Russia, Belorussia, Lithuania, etc.<br /></svar> Cuba 2002: Persons born in a different province from province of residence [discrepancies: not verifiable] This variable indicates the person's province of birth. 001 Pinar del Rio 002 La Habana 003 Ciudad Habana 004 Matanzas 005 Villa Clara 006 Cienfuegos 007 Sancti Spiritus 008 Ciego Avila 009 Camaguey 010 Las Tunas 011 Holguin 012 Granma 013 Santiago de Cuba 014 Guantanamo 099 Isla de la Juventud 998 Unknown 999 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Municipality or country of birth <span class="em">Section IV. Information about the person</span></p> <p><svar v=" CU02A407 CU02A408 CU02A409 CU02A410" a="all">7. Where did your mother reside when you were born?<br /><div class="i1">[] 1 In this municipality - Continue with question 8<br />[] 3 In another municipality in the country - (indicate the name of the municipality, province, or country)</div><br /><div class="i2">Municipality ______<br />Province ______<br />Country ______</div><br /><div class="i1">[] 9 Does not know</div><br /></svar> <svar v="CU02A407 CU02A408 CU02A409 CU02A410" a="all"><span class="em">Question 7. Where did your mother reside when you were born?</span><br /><br />With this question we want to know the municipality or country where the interviewee resided at the time of birth, for which the question focuses on residency of the mother at this time, since the person could have been born in a different municipality or country from where the mother resided permanently.<br /><br />[illustration]<br />7. Where did your mother reside when you were born?<br /><div class="i1">[] 1 In this municipality -- Continue with question 8.<br />[] 3 In another municipality or country</div><br /><div class="i2">In which municipality, province or country<br />Municipality____<br />Province____<br />Country____</div><br /><div class="i1">[] 9 Does not know</div><br /><br />(Note) Do not make any notes.<br /><br />The question should be asked in the following manner: Where did your mother reside when you were born, in this municipality or in another municipality or country?<br /><br />If he/she responds "in this municipality", this means that it is the same municipality where you are doing the interview, for which you should mark box 1 and continue with question 10.<br /><br />If, on the other hand, he/she responds "in another municipality or country", box 3, then we ask in which municipality, province or country, noting the names of the municipality, province, or country on the line.<br />In the case where the municipality and the province correspond to Cuba, you will not write the name of the country. This will only be used for the case of a person born in another country.<br /><br />If the person tells us that he/she does not know in which municipality his/her mother resided, you will mark box 9, "does not know".<br /><br />You should take into account that we are referring to the current Political Administrative Division, which means, Santiago de Cuba, Las Tunas and not Provincia Oriente [Eastern Province]. This is valid for countries: Not URSS, but rather Russia, Belorussia, Lithuania, etc.<br /></svar> Cuba 2002: Persons born in a different municipality from municipality of residence at birth [discrepancies: none] This variable indicates the person's municipality of birth (for those born in Cuba), and the country of birth (for those born outside Cuba). 0101 Sandino 0102 Mantua 0103 Minas de Matahambre 0104 Vinales 0105 La Palma 0106 Bahia Honda 0107 Candelaria 0108 San Cristobal 0109 Los Palacios 0110 Consolacion del Sur 0111 Pinar del Rio 0112 San Luis 0113 San Juan y Martinez 0114 Guane 0199 Pinar del Rio, municipality unknown 0201 Mariel 0202 Guanajay 0203 Caimito 0204 Bauta 0205 San Antonio de los banos 0206 Bejucal 0207 San Jose de las Lajas 0208 Jaruco 0209 Santa Cruz del Norte 0210 Madruga 0211 Nueva Paz 0212 San Nicolas 0213 Guines 0214 Melena del Sur 0215 Batabano 0216 Quivican 0217 Guira de Melena 0218 Alquizar 0219 Artemisia 0299 La Habana, municipality unknown 0301 Playa 0302 Plaza de la Revolucion 0303 Centro Habana 0304 La Habana Vieja 0305 Regla 0306 La Habana del Este 0307 Guanabacoa 0308 San Miguel del Padron 0309 Diez de Octubre 0310 Cerro 0311 Marianao 0312 La Lisa 0313 Boyeros 0314 Arroyo Naranjo 0315 Cotorro 0399 Ciudad Habana, municipality unknown 0401 Matanzas 0402 Cardenas 0403 Varadero 0404 Marti 0405 Colon 0406 Perico 0407 Jovellanos 0408 Pedro Betancourt 0409 Limonar 0410 Union de Reyes 0411 Cienaga de Zapata 0412 Jaguey Grande 0413 Calimete 0414 Los Arabos 0499 Matanzas, municipality unknown 0501 Corralillo 0502 Quemado de Guines 0503 Sagua la Grande 0504 Encrucijada 0505 Camajuani 0506 Caibarien 0507 Remedios 0508 Placetas 0509 Santa Clara 0510 Cifuentes 0511 Santo Domingo 0512 Ranchuelo 0513 Manicaragua 0599 Villa Clara, municipality unknown 0601 Aguada de Pasajeros 0602 Rodas 0603 Palmira 0604 Lajas 0605 Cruces 0606 Cumanayagua 0607 Cienfuegos 0608 Abreus 0699 Cienfuegos, municipality unknown 0701 Yaguajay 0702 Jatibonico 0703 Taguasco 0704 Cabaiguan 0705 Fomento 0706 Trinidad 0707 Sancti Spiritus 0708 La Sierpe 0799 Sancti Spiritus, municipality unknown 0801 Chambas 0802 Moron 0803 Bolivia 0804 Primero de Enero 0805 Ciro Redondo 0806 Florencia 0807 Majagua 0808 Ciego de Avila 0809 Venezuela 0810 Baragua 0812 Ciego de Avila 0899 Ciego Avila, municipality unknown 0901 Carlo Manuel de Cespedes 0902 Esmeralda 0903 Sierra de Cubitas 0904 Minas 0905 Nuevitas 0906 Guaimaro 0907 Sibanicu 0908 Camaguey 0909 Florida 0910 Vertientes 0911 Jimaguayu 0912 Najasa 0913 Santa Cruz del Sur 0999 Camaguey, municipality unknown 1001 Manati 1002 Puerto Padre 1003 Jesus Menendez 1004 Majibacoa 1005 Las Tunas 1006 Jobabo 1007 Colombia 1008 Amancio 1099 Las Tunas, municipality unknown 1101 Gibara 1102 Rafael Freire 1103 Banes 1104 Antilla 1105 Baguanos 1106 Holguin 1107 Calixto Garcia 1108 Cacocum 1109 Urbano Noris 1110 Cueto 1111 Mayari 1112 Frank Pais 1113 Sagua de Tanamo 1114 Moa 1199 Holguin, municipality unknown 1201 Rio Cauto 1202 Cauto Cristo 1203 Jiguani 1204 Bayamo 1205 Yara 1206 Manzanillo 1207 Campechuela 1208 Media Luna 1209 Niquero 1210 Pilon 1211 Bartolome Maso 1212 Buey Arriba 1213 Guisa 1299 Granma, municipality unknown 1301 Contramaestre 1302 Mella 1303 San Luis 1304 Segundo Frente 1305 Songo - La Maya 1306 Santiago de Cuba 1307 Palma Soriano 1308 Tercer Frente 1309 Guama 1399 Santiago de Cuba, municipality unknown 1401 El Salvador 1402 Guantanamo 1403 Yateras 1404 Baracoa 1405 Maisi 1406 Imias 1407 San Antonio del Sur 1408 Manuel Tames 1409 Caimanera 1410 Niceto Perez 1499 Guantanamo, municipality unknown 9901 Isla de la Juventud 9998 Unknown 9999 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Have always lived in this municipality <span class="em">Section IV. Information about the person</span></p> <p><svar v="CU02A411 CU02A412 CU02A413 CU02A414">8. Have you always lived in this municipality?<br /></svar> <br /><svar v="CU02A411 CU02A412 CU02A413 CU02A414 CU02A415" a=" CU02A411 "><div class="i1">a. Have you always lived in this municipality?</div><br /><div class="i2">[] 1 Yes - Continue with question 10<br />[] 2 No</div><br /></svar> <svar v="CU02A411 CU02A412 CU02A413 CU02A414" a="CU02A411"><span class="em">Question 8. Have you always lived in this municipality?</span><br /><br />This question wants to know if the person has ever moved from one municipality to another, and if he/she did, which municipality.<br /></svar></p> <p><svar v="CU02A411">8. a. Have you always lived in this municipality?<br /><div class="i1">[] 1 Yes 1 -- Continue with question 10<br />[] 3 No</div><br /></svar></p> <p><svar v="CU02A411">The question is asked in the following manner: Have you always lived in this municipality? Yes or No.<br /></svar></p> <p><svar v="CU02A411 CU02A412 CU02A413 CU02A414">If the answer is Yes (box 1), continue with question 10, but if the answer is No (box 3), you will move on to ask part B) of the question.<br /></svar> Cuba 2002: All persons This variable indicates whether the person has always lived in the present municipality. 1 Yes 3 No Nativity and Birthplace Variables -- PERSON Country of previous residence <span class="em">Section IV. Information about the person</span></p> <p><svar v="CU02A411 CU02A412 CU02A413 CU02A414">8. Have you always lived in this municipality?<br /></svar> <br /><svar v="CU02A411 CU02A412 CU02A413 CU02A414 CU02A415" a=" CU02A411 "><div class="i1">a. Have you always lived in this municipality?</div><br /><div class="i2">[] 1 Yes - Continue with question 10<br />[] 2 No</div><br /></svar></p> <p><svar v="CU02A412 CU02A413 CU02A414" a="all"><div class="i1">[Question 8b was asked of people reporting that they did not always live in the current municipality, per question 8a.]<br />b. In which municipality or country did you reside before moving?</div><br /><div class="i2">Municipality ______<br />Province ______<br />Country ______<br /> [] 9 Does not know</div><br /></svar> <svar v="CU02A411 CU02A412 CU02A413 CU02A414" a="CU02A411"><span class="em">Question 8. Have you always lived in this municipality?</span><br /><br />This question wants to know if the person has ever moved from one municipality to another, and if he/she did, which municipality.<br /></svar></p> <p><svar v="CU02A412 CU02A413 CU02A414" a="all">b. In what municipality or country did you live before moving here?<br /><div class="i2">Municipality____ [ _ _ ]<br />Province____ [ _ _ ]<br />Country____ [ _ _ ]<br />[] 9 Does not know</div><br /></svar></p> <p><svar v="CU02A411 CU02A412 CU02A413 CU02A414">If the answer is Yes (box 1), continue with question 10, but if the answer is No (box 3), you will move on to ask part B) of the question.<br /></svar></p> <p><svar v="CU02A412 CU02A413 CU02A414">In what municipality or country did you reside before moving here? If it is a municipality in Cuba, ask the name and write it on the corresponding line, then ask for the province and write it on the corresponding line. In this case, the space corresponding to country will be left blank.<br /><br />If the answer is that he/she resided in another country, you will ask the name of the country and write it in the corresponding space, leaving the lines for municipality and province blank.<br /><br />In the case that the person does not remember in which municipality or country where he/she resided before moving here, mark box 9 (Does not know).<br /></svar> Cuba 2002: Persons who have lived abroad [discrepancies: not verifiable] This variable indicates the person's country of previous residence. 002 Africa 004 Afghanistan 009 Oceania 276 Germany 332 Haiti 388 Jamaica 484 Mexico 643 Russian Federation 724 Spain 804 Ukraine 840 United States 990 Other country, response suppressed 998 Unknown 999 NIU (not in universe) Migration: Global Variables -- PERSON Province of previous residence <span class="em">Section IV. Information about the person</span></p> <p><svar v="CU02A411 CU02A412 CU02A413 CU02A414">8. Have you always lived in this municipality?<br /></svar> <br /><svar v="CU02A411 CU02A412 CU02A413 CU02A414 CU02A415" a=" CU02A411 "><div class="i1">a. Have you always lived in this municipality?</div><br /><div class="i2">[] 1 Yes - Continue with question 10<br />[] 2 No</div><br /></svar></p> <p><svar v="CU02A412 CU02A413 CU02A414" a="all"><div class="i1">[Question 8b was asked of people reporting that they did not always live in the current municipality, per question 8a.]<br />b. In which municipality or country did you reside before moving?</div><br /><div class="i2">Municipality ______<br />Province ______<br />Country ______<br /> [] 9 Does not know</div><br /></svar> <svar v="CU02A411 CU02A412 CU02A413 CU02A414" a="CU02A411"><span class="em">Question 8. Have you always lived in this municipality?</span><br /><br />This question wants to know if the person has ever moved from one municipality to another, and if he/she did, which municipality.<br /></svar></p> <p><svar v="CU02A412 CU02A413 CU02A414" a="all">b. In what municipality or country did you live before moving here?<br /><div class="i2">Municipality____ [ _ _ ]<br />Province____ [ _ _ ]<br />Country____ [ _ _ ]<br />[] 9 Does not know</div><br /></svar></p> <p><svar v="CU02A411 CU02A412 CU02A413 CU02A414">If the answer is Yes (box 1), continue with question 10, but if the answer is No (box 3), you will move on to ask part B) of the question.<br /></svar></p> <p><svar v="CU02A412 CU02A413 CU02A414">In what municipality or country did you reside before moving here? If it is a municipality in Cuba, ask the name and write it on the corresponding line, then ask for the province and write it on the corresponding line. In this case, the space corresponding to country will be left blank.<br /><br />If the answer is that he/she resided in another country, you will ask the name of the country and write it in the corresponding space, leaving the lines for municipality and province blank.<br /><br />In the case that the person does not remember in which municipality or country where he/she resided before moving here, mark box 9 (Does not know).<br /></svar> Cuba 2002: Persons who have lived in another province [discrepancies: not verifiable] This variable indicates the person's province of previous residence. 001 Pinar del Rio 002 La Habana 003 Ciudad Habana 004 Matanzas 005 Villa Clara 006 Cienfuegos 007 Sancti Spiritus 008 Ciego Avila 009 Camaguey 010 Las Tunas 011 Holguin 012 Granma 013 Santiago de Cuba 014 Guantanamo 099 Isla de la Juventud 998 Unknown 999 NIU (not in universe) Migration: Global Variables -- PERSON Municipality of previous residence <span class="em">Section IV. Information about the person</span></p> <p><svar v="CU02A411 CU02A412 CU02A413 CU02A414">8. Have you always lived in this municipality?<br /></svar> <br /><svar v="CU02A411 CU02A412 CU02A413 CU02A414 CU02A415" a=" CU02A411 "><div class="i1">a. Have you always lived in this municipality?</div><br /><div class="i2">[] 1 Yes - Continue with question 10<br />[] 2 No</div><br /></svar></p> <p><svar v="CU02A412 CU02A413 CU02A414" a="all"><div class="i1">[Question 8b was asked of people reporting that they did not always live in the current municipality, per question 8a.]<br />b. In which municipality or country did you reside before moving?</div><br /><div class="i2">Municipality ______<br />Province ______<br />Country ______<br /> [] 9 Does not know</div><br /></svar> <svar v="CU02A411 CU02A412 CU02A413 CU02A414" a="CU02A411"><span class="em">Question 8. Have you always lived in this municipality?</span><br /><br />This question wants to know if the person has ever moved from one municipality to another, and if he/she did, which municipality.<br /></svar></p> <p><svar v="CU02A412 CU02A413 CU02A414" a="all">b. In what municipality or country did you live before moving here?<br /><div class="i2">Municipality____ [ _ _ ]<br />Province____ [ _ _ ]<br />Country____ [ _ _ ]<br />[] 9 Does not know</div><br /></svar></p> <p><svar v="CU02A411 CU02A412 CU02A413 CU02A414">If the answer is Yes (box 1), continue with question 10, but if the answer is No (box 3), you will move on to ask part B) of the question.<br /></svar></p> <p><svar v="CU02A412 CU02A413 CU02A414">In what municipality or country did you reside before moving here? If it is a municipality in Cuba, ask the name and write it on the corresponding line, then ask for the province and write it on the corresponding line. In this case, the space corresponding to country will be left blank.<br /><br />If the answer is that he/she resided in another country, you will ask the name of the country and write it in the corresponding space, leaving the lines for municipality and province blank.<br /><br />In the case that the person does not remember in which municipality or country where he/she resided before moving here, mark box 9 (Does not know).<br /></svar> Cuba 2002: Persons who have always lived in Cuba and have ever lived in a different municipality [discrepancies: none] This variable indicates the person's municipality and country of previous residence. 0101 Sandino 0102 Mantua 0103 Minas de Matahambre 0104 Vinales 0105 La Palma 0106 Bahia Honda 0107 Candelaria 0108 San Cristobal 0109 Los Palacios 0110 Consolacion del Sur 0111 Pinar del Rio 0112 San Luis 0113 San Juan y Martinez 0114 Guane 0199 Pinar del Rio, municipality unknown 0201 Mariel 0202 Guanajay 0203 Caimito 0204 Bauta 0205 San Antonio de los banos 0206 Bejucal 0207 San Jose de las Lajas 0208 Jaruco 0209 Santa Cruz del Norte 0210 Madruga 0211 Nueva Paz 0212 San Nicolas 0213 Guines 0214 Melena del Sur 0215 Batabano 0216 Quivican 0217 Guira de Melena 0218 Alquizar 0219 Artemisia 0299 La Habana, municipality unknown 0301 Playa 0302 Plaza de la Revolucion 0303 Centro Habana 0304 La Habana Vieja 0305 Regla 0306 La Habana del Este 0307 Guanabacoa 0308 San Miguel del Padron 0309 Diez de Octubre 0310 Cerro 0311 Marianao 0312 La Lisa 0313 Boyeros 0314 Arroyo Naranjo 0315 Cotorro 0399 Ciudad Habana, municipality unknown 0401 Matanzas 0402 Cardenas 0403 Varadero 0404 Marti 0405 Colon 0406 Perico 0407 Jovellanos 0408 Pedro Betancourt 0409 Limonar 0410 Union de Reyes 0411 Cienaga de Zapata 0412 Jaguey Grande 0413 Calimete 0414 Los Arabos 0499 Matanzas, municipality unknown 0501 Corralillo 0502 Quemado de Guines 0503 Sagua la Grande 0504 Encrucijada 0505 Camajuani 0506 Caibarien 0507 Remedios 0508 Placetas 0509 Santa Clara 0510 Cifuentes 0511 Santo Domingo 0512 Ranchuelo 0513 Manicaragua 0599 Villa Clara, municipality unknown 0601 Aguada de Pasajeros 0602 Rodas 0603 Palmira 0604 Lajas 0605 Cruces 0606 Cumanayagua 0607 Cienfuegos 0608 Abreus 0699 Cienfuegos, municipality unknown 0701 Yaguajay 0702 Jatibonico 0703 Taguasco 0704 Cabaiguan 0705 Fomento 0706 Trinidad 0707 Sancti Spiritus 0708 La Sierpe 0799 Sancti Spiritus, municipality unknown 0801 Chambas 0802 Moron 0803 Bolivia 0804 Primero de Enero 0805 Ciro Redondo 0806 Florencia 0807 Majagua 0808 Ciego de Avila 0809 Venezuela 0810 Baragua 0899 Ciego Avila, municipality unknown 0901 Carlo Manuel de Cespedes 0902 Esmeralda 0903 Sierra de Cubitas 0904 Minas 0905 Nuevitas 0906 Guaimaro 0907 Sibanicu 0908 Camaguey 0909 Florida 0910 Vertientes 0911 Jimaguayu 0912 Najasa 0913 Santa Cruz del Sur 0999 Camaguey, municipality unknown 1001 Manati 1002 Puerto Padre 1003 Jesus Menendez 1004 Majibacoa 1005 Las Tunas 1006 Jobabo 1007 Colombia 1008 Amancio 1099 Las Tunas, municipality unknown 1101 Gibara 1102 Rafael Freire 1103 Banes 1104 Antilla 1105 Baguanos 1106 Holguin 1107 Calixto Garcia 1108 Cacocum 1109 Urbano Noris 1110 Cueto 1111 Mayari 1112 Frank Pais 1113 Sagua de Tanamo 1114 Moa 1199 Holguin, municipality unknown 1201 Rio Cauto 1202 Cauto Cristo 1203 Jiguani 1204 Bayamo 1205 Yara 1206 Manzanillo 1207 Campechuela 1208 Media Luna 1209 Niquero 1210 Pilon 1211 Bartolome Maso 1212 Buey Arriba 1213 Guisa 1299 Granma, municipality unknown 1301 Contramaestre 1302 Mella 1303 San Luis 1304 Segundo Frente 1305 Songo - La Maya 1306 Santiago de Cuba 1307 Palma Soriano 1308 Tercer Frente 1309 Guama 1399 Santiago de Cuba, municipality unknown 1401 El Salvador 1402 Guantanamo 1403 Yateras 1404 Baracoa 1405 Maisi 1406 Imias 1407 San Antonio del Sur 1408 Manuel Tames 1409 Caimanera 1410 Niceto Perez 1499 Guantanamo, municipality unknown 9901 Isla de la Juventud 9998 Unknown 9999 NIU (not in universe) Migration: Global Variables -- PERSON Length of stay in this municipality <span class="em">Section IV. Information about the person</span></p> <p><svar v="CU02A415" a="all">9. How long have you lived in this municipality since you moved from the previous municipality or country?<br /><div class="i1">[Question 9 was asked of persons who had not always lived in the present municipality, per question 8.]<br /><br />Years _____<br />[] 00 Less than one year<br />[] 99 Does not know</div><br /></svar> <svar v="CU02A415" a="all"><span class="em">Question 9. How long have you lived in this municipality since you moved here from the previous municipality or country?</span><br /><br />With this question, we will know the time that has passed since the last residency change for the person.<br /><br />[illustration]<br />9. How long have you lived in this municipality since you moved here from the previous municipality or country?<br /><div class="i1">Years [ _ _ ]<br />[] 00 Less than one year<br />[] 99 Does not know</div><br /><br />We will ask: How long have you lived in this municipality since you moved from the previous municipality or country?<br /><br />We will not the number that the interviewee declares. In the case that the time is one year or more, numbers will be written in the spaces next to the alternative for years. If the time lived here is less than one year, you will mark the box 'less than one year' and if he/she does not know how long ago he/she moved, mark box 99 (Does not know).<br /></svar> Cuba 2002: Persons who have lived in another municipality [discrepancy: none] This variable indicates how long the person has lived in the present municipality, since moving from the previous municipality or country. 00 Less than one year 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80+ 98 Unknown 99 NIU (not in universe) Migration: Global Variables -- PERSON Education level <svar v="CU02A416 CU02A417"><span class="em">For persons six years old or more [Questions 11-15]</span><br /></svar></p> <p><svar v="CU02A416 CU02A417" a=" CU02A416">12. What is the highest level of education that you finished completely? <br /><div class="i1">[Question 12 was asked of persons age 6 and older who had at least some education, per question 11.]<br /><br />(Mark only one)<br /><br />[] 0 None - Continue with question 14<br />[] 1 Elementary<br />[] 2 Basic secondary<br />[] 3 Specialized worker<br />[] 4 Pre-university<br />[] 5 Mid-level technical<br />[] 6 Mid-level pedagogy<br />[] 7 Higher or university</div><br /></svar> <svar v="CU02A416 CU02A417" a="all"><span class="em">Question 12. What is the highest level of education that you have finished completely?</span><br /><br />The objective of this question is to know the educational level that the interviewee has finished completely.<br /><br />[illustration]<br /><br />12. What is the highest level of education that you have finished completely? (only one mark)<br /><div class="i1">[] 0 None -- Continue with question 14<br />[] 1 Elementary<br />[] 2 Basic Secondary Education<br />[] 3 Specialized Laborer<br />[] 4 Pre-university<br />[] 5 Middle Technical<br />[] 6 Mid-level Pedagogy<br />[] 7 Higher or University</div><br /><br />You should understand that a level has been completely finished when the interviewee has passed the last year or grade, obtaining the academic degree or diploma that accredits him/her as a graduate.<br /><br />Observe that the levels are the same (same code) that you find related to the previous question (11).<br /><br />You will mark the corresponding box for the completed level for the interviewee. The box "None" will be used for the persons who declared that they have not completely finished any educational level.<br /><br />Before you mark the box, you should verify that information received with that of the previous question, since this method will allow you to rapidly determine if the answer you received is adequate or not.<br /></svar> Cuba 2002: Persons age 6+ [discrepancies: type I none; type II 3.2%] This variable indicates the education level that the person has completed. 0 None 1 Primary 2 Basic secondary 3 Skilled manual labor 4 Pre-university 5 Mid-level technical 6 Mid-level teaching 7 Higher education 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Degree <svar v="CU02A416 CU02A417"><span class="em">For persons six years old or more [Questions 11-15]</span><br /></svar></p> <p><svar v="CU02A416 CU02A417" a=" CU02A416">12. What is the highest level of education that you finished completely? <br /><div class="i1">[Question 12 was asked of persons age 6 and older who had at least some education, per question 11.]<br /><br />(Mark only one)<br /><br />[] 0 None - Continue with question 14<br />[] 1 Elementary<br />[] 2 Basic secondary<br />[] 3 Specialized worker<br />[] 4 Pre-university<br />[] 5 Mid-level technical<br />[] 6 Mid-level pedagogy<br />[] 7 Higher or university</div><br /></svar></p> <p><svar v="CU02A417" a="all">13. What degree or academic diploma did he/she receive in the last level completed?<br /><div class="i1">[Question 13 was asked of persons age 6 and older who had completed at least some education, per question 12.]<br /><br />*Examples: Mid-level technician in accounting, licentiate in Economy, specialized welding worker.<br /><br />____<br />_ _ According to the classifier</div><br /></svar> <svar v="CU02A416 CU02A417" a="all"><span class="em">Question 12. What is the highest level of education that you have finished completely?</span><br /><br />The objective of this question is to know the educational level that the interviewee has finished completely.<br /><br />[illustration]<br /><br />12. What is the highest level of education that you have finished completely? (only one mark)<br /><div class="i1">[] 0 None -- Continue with question 14<br />[] 1 Elementary<br />[] 2 Basic Secondary Education<br />[] 3 Specialized Laborer<br />[] 4 Pre-university<br />[] 5 Middle Technical<br />[] 6 Mid-level Pedagogy<br />[] 7 Higher or University</div><br /><br />You should understand that a level has been completely finished when the interviewee has passed the last year or grade, obtaining the academic degree or diploma that accredits him/her as a graduate.<br /><br />Observe that the levels are the same (same code) that you find related to the previous question (11).<br /><br />You will mark the corresponding box for the completed level for the interviewee. The box "None" will be used for the persons who declared that they have not completely finished any educational level.<br /><br />Before you mark the box, you should verify that information received with that of the previous question, since this method will allow you to rapidly determine if the answer you received is adequate or not.<br /></svar></p> <p><svar v="CU02A417" a="all"><span class="em">Question 13. What academic degree or diploma did you receive from the last level that you passed?</span><br /><br />If the previous question (11) has any of the boxes one through seven marked, indicating that the person completely finished an educational level, you should always note the answer to the question about the academic degree or diploma received that corresponds to this level. If you have marked the box for "None" (0), you should not ask the question.<br /><br /><span class="pg">[Header: Instructions for the use of the Enumerator / Section IV. Information about the Person -- 64]</span><br /><br />If the interviewee declared that in one single level he/she has obtained more than one degree, you should note the one that has the greatest relation to his/her job, or the one that is understood to have the greatest importance because he/she uses it the most in his/her job.<br /><br />[illustration]<br /><br />13. What academic degree or diploma did you receive from the last level that you passed?<br />(Examples: Mid-Level Technician in Accounting, Licentiate in Economy, Specialized Laborer in Welding)<br /><div class="i1">_____<br />[ _ _ ]<br />(Based on the classifier)</div><br /><br />The interviewee does not have to show you the diploma, it only has to be declared.<br /><br />For the levels of Specialized Worker, Middle Technician and Upper Level Technician, you should note the specialty of the degree obtained very clearly.<br /><br />Examples of degree:<br />Middle Technician in Finances, Elementary Certification, Drill-press Operator, Secondary Certification, Flight Engineer, Electrical Engineer, Licentiate in Economic Control, Specialized Worker in Carpentry (blank), Middle Technician in Metallurgy, etc.<br /><br />In the cases of the persons who have a scientific degree or other degree of post-graduate education, you will specify the degree that corresponds to the university field and not the post-graduate specialty.<br /></svar> Cuba 2002: Persons age 6+ who have completed at least primary level [discrepancies: none] This variable indicates the academic diploma that the person received in the last level completed. 01 Basic education (primary) 14 Teaching 21 Art 22 Humanities 31 Other social and behavioral science 32 Journalism and news 34 Commercial and business teaching 38 Law 42 Life sciences 44 Physical sciences 46 Mathematics and statistics 48 Computer science 52 Engineering and related professions 54 Industry and production 58 Architecture and construction 62 Agriculture, forestry and fishing 64 Veterinary science 71 Medicine 72 Stomatology 73 Nursing 74 Other health technicians 75 Sports and physical education 76 Social services 87 Other services 90 Military careers 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Marital status <svar v="CU02A418" a="all">16. What is your civil or marital status? <br /><div class="i1">(Mark only one)<br /><br />For persons 12 years old or more<br /><br />[] 1 Married<br />[] 2 Civil union<br />[] 3 Divorced<br />[] 4 Separated<br />[] 5 Widowed<br />[] 6 Single</div><br /></svar> <svar v="CU02A418" a="all"><span class="em">Question 16. What is your civil or marriage state?</span><br /><br />The objective of this question is to know the civil status or marriage status of the enumerated persons.<br /><br />You should ask the question and then you should read each of the boxes so that the person can select his/her civil or marital status.<br /><br />[illustration]<br /><br />16. What is your civil or marriage state? (only one mark)<br /><div class="i1">[] 1 Union<br />[] 2 Married<br />[] 3 Divorced<br />[] 4 Separated<br />[] 5 Widowed<br />[] 6 Single</div><br /><br />You should memorize the following definitions:<br /><br /><div class="i1">Union: This is the person who lives as in a marital relationship in a stable manner with a person of the opposite sex, without a legal contract that recognizes the relationship. The conjugal status is also called consensual union.<br /><br />You will mark this box if the person is found in this condition even if he/she is divorced, widowed, or if he/she is only separated from the previous spouse.<br /><br />Married: This is the union of two persons of opposite sex, formally and legally recognized.<br /><br />Divorced: This is person who has terminated his/her civil status as married, through the dissolution of the marriage by judicial decree and who currently does not live in a consensual union.</div><br /><br /><span class="pg">[Header: Instructions for the use of the Enumerator / Section IV. Information about the Person -- 66 ]</span><br /><br /><div class="i1">Separated: This is the person who, being legally married or in a union with another person, is currently found separated, which means that he/she does not live in a marital relationship with the person from whom he/she is not divorced, nor lives in a stable consensual union with another person.<br /><br />Widow: This is the person who, being legally married or in a consensual union, has lost his/her spouse or companion through death and has not remarried nor is currently in a consensual union.<br /><br />Single: This is a person who has never been legally married, nor lives in a consensual union.</div><br /><br />Remember that the persons who declare to be married or in a union, if they live in the same household as their partner, should have the annotation in question number 3 that corresponds to this questionnaire. If the spouse does not reside in the household, it should be noted in the space designated for "Spouse of" as "00".<br /></svar></p> <p>With this question we have concluded the part of Section IV that corresponds to persons twelve years old and more and we will begin to work with the segments of the population that are fifteen years old and more, with questions about their economic situation. Cuba 2002: Persons age 15+ [discrepancies: none] This variable indicates the person's marital status. The question was asked of persons 15 years and older, even though the enumeration form said 12 years and older. 1 Married 2 Partnered 3 Divorced 4 Separated 5 Widowed 6 Single 9 NIU (not in universe) Demographic Variables -- PERSON Job status <svar v=" CU02A419 CU02A420 CU02A421"><span class="em">For persons 15 years old or more </span><br />[Questions 17-21]<br /></svar></p> <p><svar v="CU02A419 CU02A420 CU02A421" a=" CU02A419">17. What did you do during the week before September 7?<br /><div class="i1">[] 01 Worked - Continue with question 18<br />[] 02 Had a job, but did not work - Continue with question 18<br />[] 03 Looked for work because he/she had lost his/her job<br />[] 04 Looked for work for the first time<br />[] 05 Retired or receiving a pension<br />[] 06 Collects rents or receives economic support<br />[] 07 Household chores<br />[] 08 Student<br />[] 09 Incapacitated for work<br />[] 10 Does not carry out any economic activity<br />[] 11 In the hospital, in an asylum, or recluse who does not work<br />[] 12 Other situation<br /><br />For answers 03, 04, 05, 06, 07, 08, 09, 10, 11, 12: end of interview.</div><br /></svar> <svar v="CU02A419" a="all"><span class="em">Question 17. What did you do in the week before the day of September 7th?</span><br /><br />This block of questions should be answered by persons who are fifteen years old or more. It is the most complicated block of questions, for which we recommend that you pay attention to it.<br /><br />[illustration]<br /><br />17. What did you do in the week before the day of September 7th?<br /><div class="i1">[] 01 Worked<br />[] 02 Had a job, but did not work</div><br /><div class="i2">Answers 1-2 -- Continue with question 18</div><br /><div class="i1">[] 03 Looked for work because he/she had lost his/her job<br />[] 04 Looked for work for the first time<br />[] 05 Retired or pension<br />[] 06 Receives rents or economic assistance<br />[] 07 Household chores<br />[] 08 Student<br />[] 09 Disabled for working<br />[] 10 Did not do any activity<br />[] 11 In the hospital, asylum or prison, did not work<br />[] 12 Other situation</div><br /><div class="i2">Answers 3 to 12 -- The interview is concluded.</div><br /><br />You will take the week of Sunday to Saturday of the week before the week of the Census Moment as the reference period. If we consider the Census Moment as twelve o'clock midnight of the night of September 6th, the reference week will be from August 25th to 31st.<br /><br />[Illustration of the calendar for August and September 2002, with the weeks of August 25 and September 8, and the dates Sept. 15 and Sept. 16 highlighted. Illustration not reported here]<br /><br />The economic questions of the Questionnaire begin with question 17. You should ask this question of each person who is fifteen years old or more:<br />What did you do the week before the day of September 7th?<br /><br />The question refers to what the person dedicated his/her time or what he/she did in the week immediately before the Census Day (from Sunday to Saturday), and for this it is necessary to know if the interviewee was working, was a student, retired or any of the different situations that appear listed in this question.<br /><br />After you ask the question to the interviewee, without waiting for an answer, you should begin to read each of the alternatives, and mark an (x) for the one that the interviewee gives an affirmative response.<br /><br /><span class="pg">[Header: Instructions for the use of the Enumerator / Section IV. Information about the Person -- 67 ]</span><br /><br /><span class="em">To select the correct box, you should take into account the following clarifications.</span><br /><br />Worked: This is group of persons who, in the week before the Day of the Census, as a reference period, worked at least eight hours in an occupation in the public sector, cooperative, private sector, self-employed or for someone else, in the national territory or in another country (embassies, consulates, commercial offices and other medical missions, or other professions, etc.). As week before, we understand the period before the Census Day and not, for example, from Wednesday to Tuesday, if the interview is carried out on a Wednesday.<br /><br />We consider as "worked":<br /><div class="i1">- Unpaid family assistants<br />- Members of SMG and the EJT<br />- The university graduates in the stage of "social service"<br />- Persons who are presumed inactive (retirees, housework, etc.), who during the reference week did any paid work.<br />- The persons who work in their own household under the orders of a state entity.<br />- The persons who are found being trained under the system of workers directly in production. (Res. 4248 of CETSS)<br />- The rural laborers (compassions) who rented their lands to the state and who work in the state sector.<br />- In this group, you should include the persons who are found in training courses or re-training courses as a result of their jobs being cancelled.<br />- The persons who have been sent by some organization, business or budgeted unit to be training, without this person loosing his/her labor ties to the entity that sends it.</div><br /><br />Do not include as working (even if they work or receive payment):<br /><div class="i1">- The students in field schools or in fields.<br />- The students who are interns in organizations, businesses, etc., who do not included in the "Registry of Workers of the Center".<br />- The student-teachers and student-assistants of any level.<br />- The students in the last year of Medical Sciences, who are doing their practice in health centers.<br />- The person who do any type of work that is not paid (volunteer work, etc.), except the family assistant who does not receive payment.<br />- The persons who did paid work, but for a period of less than eight hours in the reference week.</div><br /><br />Whenever a person declares that he/she "worked", you should ask if the work was paid (not voluntary) and also the time that the person worked in this week to determine if he/she truly worked.<br /><br />Consider as paid work when the person receives payment in money or in kind for the work done.<br /><br /><span class="pg">[Header: Instructions for the use of the Enumerator / Section IV. Information about the Person -- 68 ]</span><br /><br />Had a job, but did not work: These are all persons who, in the reference week before the Census Day, had secure employment, but did not work because of one of the following conditions:<br /><div class="i1">- Vacations<br />- Temporary illness<br />- Work-related accident or another type of accident<br />- Unpaid permission<br />- Maternity leave<br />- Sports leave<br />- Deployed<br />- Affected by raw materials, fuels, etc.<br />- Other temporary labor interruption that permits him/her to return to his/ her job at a later time. This includes persons who are processing their retirement and have not lost their link to the labor center.</div><br /><br />Looking for work because he/she has lost his/her job. This includes persons at working age (men from 17 to 59 years old and women from 17 to 54 years old) who in the reference week made direct efforts in the Municipal Employment Office of the Popular Forces, Businesses of Budgeted Units, personnel departments, permission requests or permits for self-employment, to obtain a paid job or who are waiting for the result of these efforts, as long as the person is willing to accept the job for which he/she has applied or a similar job, and as long as the persons have previously been state or private sector workers, who lost their labor links for any reason.<br /><br />Remember that the persons in this group had to declare that they did not work in the reference week, but that they were making efforts to obtain another job.<br /><br />Included in this group:<br /><div class="i1">- Self-employed workers who look for employment because they have ended this condition.<br />- Available workers who are looking for a job.<br />- Those that have been fired but have not started training courses in organisms.<br />- Those who wish to do the above-mentioned procedures, but who have not been able to, due to temporary illness or another justified cause.<br />- Those that have just received a new job, but have not started to work yet.<br />- The cases of persons who are contracted to work, but due to violations in the work center, are waiting to be called back to work. An example of this could be persons contracted for a specific period for jobs that are not vacant yet, as a violation that was detected through an audit of the work center.</div><br /><br />Looked for work for the first time: This includes the persons who are at working age (men between 17 and 59 years old and women between 17 and 54 years old) who in the reference week made efforts to obtain his/her first employment without having worked previously, whether because of his/her age or because of having been previously classified as doing household chores, students, or as unemployed persons in other conditions.<br /><br />Here we include the members of the labor reserve classified as never having had a previous labor tie, and who in the reference week had not been incorporated in an useful job or in training courses.<br /><br />Retired or collection pension: This includes the persons who did not carry out any paid work, or they did so for less than eight hours in the reference week, and those who collected income from Social Security for:<br /><br /><span class="pg">[Header: Instructions for the use of the Enumerator / Section IV. Information about the Person -- 69 ]</span><br /><br /><div class="i1">- Age-related pension (retired)<br />- Pensions for disability, widows, orphans, or other cases of benefits received by relatives of workers who have died.</div><br /><br />Observe that these persons come from a previous labor relationship of the worker in benefit of himself/herself or his/her family.<br />Therefore, do not include maintenance pension given from one person to another.<br /><br />Collects rents or receives economic assistance: This includes the persons who did not do any paid work at all or who did so for less than eight hours in the reference week, and who received income for:<br /><div class="i1">- Rents or pensions paid to previous owners of dwellings or lands as result of the dispositions of the Law of Urban Reform or other causes. In the case of rural workers (campesinos) who do not work the land for the State, they are considered rent collectors even if they work a parcel of land for their own consumption; those who work for the State will be considered "state workers" instead of rent collectors.<br />- Economic assistant given by organizations such as the Ministry of the Interior, the Department of Social Security and Social Assistance from the Popular Forces (previously Social Welfare), etc.</div><br /><br />Observe that these rents or economic assistances do not originate in a labor activity, even if they should always be given by state organisms, and never from one person to another in the cases of maintenance pensions.<br /><br />You should consider the rural workers (campesinos) who rented their lands to the State and who work for the State in this group.<br /><br />Household tasks: This includes the housewives, as well as the members of the household nucleus who are primarily dedicated to the tasks of the household (e.g. food preparation, cleaning, childcare) and who did not do any paid labor at all, whether state, in a cooperative, private, self-employed or other form, for at least eight hours in the reference week.<br /><br />Generally, these are persons of the female sex, but it can also include persons of the masculine sex.<br /><br />If any of the persons included in this definition also:<br /><div class="i1">- Studies (training courses, sewing, etc.), he/she should be classified as household chores and not as students.<br />- Receives pension income (for age or other reason), he/she will be classified as pensioner (according to the situation), if it is for rent or economic assistance, he/she will be classified as collecting rents or receiving economic assistance.</div><br /><br />Student: This includes all of the persons who, without doing any paid economic activity (or who did them circumstantially during the reference period) systematically attend an educational establishment with the goal of receiving instruction at any of the educational levels contained in the National Educational System.<br /><br /><span class="pg">[Header: Instructions for the use of the Enumerator / Section IV. Information about the Person -- 70 ]</span><br /><br />Included as students (even if they work and/or receive assistance)<br /><div class="i1">- Persons who are fifteen years old or more, fundamentally dedicated to studying, who regularly attend classes given by the National Educational System (with a scholarship, living off campus, etc.).<br />- Those students who are practicing as student-teachers and student assistants, even if they receive some payment, since this is generally in relation to the teacher training.<br />- Here we also include the students in the Higher Teacher Training who work as professors in the ESBEC and the students in the last years of Medical Sciences, who receive similar support.<br />- Those students who are interns in organizations, businesses or budgeted units, whether or not they receive any stipend for said labor, as long as this is related to the practice or laboratory of his/her future profession.<br />- Students who are studying on scholarships in foreign countries.<br />- Those students with learning problems or behavioral problems who are found doing their studies in centers called workshop schools.<br />- The students who are found working as Enumerators or Supervisors in the Population and Dwelling Census.<br />- Young persons (17 to 30 years old) incorporated in the Integral Superation Courses, as well as those enrolled in the Schools for Social Workers.</div><br /><br />Do not include:<br /><div class="i1">- Persons who study as a secondary activity and who, because of their primary activity, are included in any of the above situations, including working.<br />- Persons who have been sent by any organization or business to be trained, without this person loosing his/her labor relation with the organization or business that sends him/her to the training.<br /><br />- Persons who are found being trained, according to the learning system for workers directly in production (Resolution 4248 of the CETSS).</div><br /><br />Disabled for work: This includes persons whose physical or mental state impedes carrying out any labor activity as the result of an illness, wound, congenital problem or hereditary problem.<br /><br />In this situation, you can encounter persons who were working until the time of the illness or wound and who were not protected by the laws of Social Security before the Triumph of the Revolution, as well as those whose limitations date to their birth, infancy, or childhood.<br /><br />Generally, this group includes: persons who are blind, mentally ill, terminal cancer patients, advanced stage tuberculosis, Down's Syndrome, partial or total motor disability, advance rheumatism, persons with neurological conditions, and with other health problems that make them permanently disabled for work.<br /><br />Do not include:<br /><div class="i1">- Persons who are temporarily ill.<br />- Disabled persons who receive retirement, pension, rents, economic assistance, etc., from whom you will mark the corresponding boxes.</div><br /><br />Did not do any activity: This includes persons who do not work nor study, and who declare that they did not do any activity.<br /><br /><span class="pg">[Header: Instructions for the use of the Enumerator / Section IV. Information about the Person -- 71 ]</span><br /><br />In the hospital, asylum, or prison and does not work: This includes persons who reside permanently in hospitals, asylums, or other similar institutions or establishments, as well as those who are in prison and not working, which means, those who do not carry out any type of productive labor or services.<br /><br />This box will only be used by collective dwellings that are of permanent nature: hospitals, asylums, etc.<br /><br />The persons who reside permanently in hospitals, asylums, etc. and who receive income for pension, rent, etc. will not be included in this group, but should be included in the group that corresponds to each condition.<br /><br />Other Situation: This includes the persons who do not declare nor indicate any occupation as a means of living, nor a situation that permits inclusion in the previous categories. Here we categorize: training, out of working age, not working nor studying, and others.<br /><br />Training: This includes those persons who are found receiving training in a course given by some organization or business, receiving a stipend for this and without labor ties with this or any other center. This situation should not be confused with the situation where an organization, business or budgeted unit has sent a person to be trained without the person loosing the labor ties to said entity, in which case he/she is classified as working.<br /><br />Out of labor age, not working nor studying: This includes the persons who are out of labor age (men less than 17 years old and more than 59 years old and women who are less than 17 years old and over 54 years old) who do not work nor study and who are not found in any of the above situations.<br /><br />Others: This includes the persons who within neither labor age (men 17 years old to 59 years old and women from 17 years old to 54 years old) who do not declare or indicate any means of earning a living, nor a situation that permits inclusion in any of the previous categories.<br /><br /><span class="em">Important</span><br />The persons who are retired and housewives, who are hired to work in the Census, if not contracted in the week before the Census Day, will be classified as Retirees and Housewives, respectively; if they were already contracted for work related to the Census, then you will consider them as working.<br /><br />Be aware that the alternatives are in descending order of importance, so if a person declares that he/she is in two different alternatives, you should mark the one that has the lowest code.<br /><br />For the persons who responded in the affirmative for box 1 or 2 (because he/she is a worker), you should continue asking the questions in the order that they appear in the questionnaire.<br /><br />For those who declare to be in one of the other boxes (3 to 12), you should not ask the rest of the questions, considering the interview concluded.<br /></svar> Cuba 2002: Persons age 15+ [discrepancies: none] This variable indicates the person's employment status during the week before September 7th, 2002. 01 Worked 02 Had a job, but was not working 03 Lost work and was looking for work 04 Was looking for work for the first time 05 Retired or receiving a pension 06 Collects rents or receives economic support 07 Housework 08 Student 09 Incapacitated for work 10 Does not work 11 In hospital, asylum or prison, does not work 12 Other 99 NIU (not in universe) Work Variables -- PERSON Occupation <svar v=" CU02A419 CU02A420 CU02A421"><span class="em">For persons 15 years old or more </span><br />[Questions 17-21]<br /></svar></p> <p><svar v="CU02A419 CU02A420 CU02A421" a=" CU02A419">17. What did you do during the week before September 7?<br /><div class="i1">[] 01 Worked - Continue with question 18<br />[] 02 Had a job, but did not work - Continue with question 18<br />[] 03 Looked for work because he/she had lost his/her job<br />[] 04 Looked for work for the first time<br />[] 05 Retired or receiving a pension<br />[] 06 Collects rents or receives economic support<br />[] 07 Household chores<br />[] 08 Student<br />[] 09 Incapacitated for work<br />[] 10 Does not carry out any economic activity<br />[] 11 In the hospital, in an asylum, or recluse who does not work<br />[] 12 Other situation<br /><br />For answers 03, 04, 05, 06, 07, 08, 09, 10, 11, 12: end of interview.</div><br /></svar></p> <p><svar v="CU02A420" a="all">18. What is the principal occupation or job that you did in this work?<br /><div class="i1">[Question 18 was asked of persons age 15 and older who had worked or had a job during the week before September 7, per question 17.]<br /><br />*For example: electrician roller, teacher, secretary, etc.<br /><br />____<br />_ _ According to the classifier</div><br /></svar> <svar v="CU02A420" a="all"><span class="em">Question 18. What is the principal occupation or task that you did in this job?</span><br /><br />For the persons who have box 1 or 2 marked in question 17, you will continue by asking the economic questions in the order that they appear in the Census Questionnaire.<br /><br />[illustration]<br />18. What is the principal occupation or task that you did in this job?<br />(Examples: Wiring electrician, teacher, secretary, etc.)<br /><div class="i1">_____<br />_____<br />[ _ _ _ ]<br />(According to the classifier)</div><br /><br />For question 18, you need to collect the activity or occupation that the interviewee does in his/her job (whatever the form of holding the employment: state, self-employed, etc.) if in the reference week the person worked (01) or was employed but did not work (2).<br /><br />You should leave the space that is designated for the codification blank (according to the Classifier).<br /><br />The work or activity should be recorded in the most complete manner possible, indicating the specialty of the occupation.<br /><br />In the case that the person declares that his/her principal occupation is Social Service, trainer, or Work that is Socially Useful, you should continue to ask about the job that he/she does in this work center.<br /><br />Therefore, you should avoid writing generic terms such as:<br /><br />You should avoid / You should write<br /><div class="i1">Electrician / Wiring electrician, maintenance electrician, etc.<br />Operator / Construction operation, printing press operator, etc.<br />Mechanic / Aviation mechanic, refrigeration mechanic, etc.<br />Clerk / Warehouse clerk, pharmacy clerk, etc.<br />Engineer / Industrial engineer, metallurgic engineer, etc.<br />Driver / Bus driver, truck driver, etc.</div><br /><br />You should also avoid using terms such as: employee, day-laborer, workers, unspecialized worker, etc.<br /><br />If the person does not know how to indicate the name of his/her work, ask the person about the principal tasks that he/she does, and write: drive a truck, take care of animals, open button holes, fold sheets of metal, etc.<br /><br />If the interviewee simultaneously works at more than one job, you should consider the one to which the person has dedicated more time.<br /><br />Remember that we are only interested the real job or occupation that the person has in his/her state, cooperative or private job, whatever his/her profession or occupation.<br /></svar> Cuba 2002: Persons age 15+ who worked or had a job [discrepancies: none] This variable indicates the person's occupation during the week before September 7th, 2002. 111 Members of the executive branch 112 Public administration 115 Directors - political and labor organizations 116 Directors - social, religious organizations 141 Business directors and managers 142 Production and operation department heads 143 Other heads 211 Physics, chemists 212 Mathematicians 213 Informatics specialists 214 Architects, engineers 215 Marine and aeronautics navigation professionals 216 Quality control, security and inspection professionals 221 Biological sciences professionals 222 Physicians 223 Nursing professionals 224 Public health inspectors 231 University professors 232 Secondary education professors 233 Primary and preschool teachers 234 Special education teachers 235 Other education professionals 241 Business organization and administration specialists 242 Law professionals 243 Archivist, librarians, documentarists 244 Social scientists 245 Writers 246 Priests from a religious denomination 247 Customs and taxes professionals 249 Other university professionals 311 Physic and chemistry technicians 312 Programming and informatics technicians 313 Optic and electronic equipment technicians 314 Marine and aeronautics navigation technicians 315 Quality control, security and inspection technicians 321 Biological, agronomal, zootechnic sciences technicians 322 Medical and health professionals 323 Nursing personnel 331 Mid-level primary education teachers 332 Mid-level preschool education teachers 333 Mid-level special education teachers 334 Mid-level other teachers 341 Mid-level financial and commercial professionals 342 Commercial agents 343 Mid-level administrative services professionals 344 Customs and taxes public administrators 345 Mid-level protection and security technicians 346 Mid-level social services professionals 347 Mid-level arts, theater and sport professionals 348 Lay auxiliaries to religious services 349 Other mid-level professionals 411 Assistants, office workers, equipment operators 412 Auxiliary accountant and finance professionals 413 Equipment registration and transportation employees 414 Library, newspaper library, video library employees 419 Other office workers 421 Cashiers and ticket clerks 422 Travel agency, information desk, reception employees 511 Passenger service professionals, public transportation drivers 512 Waiters and barmen 513 Personal care professionals 514 Other personal services professionals 516 Protection and security personnel 521 Models for fashion, art and advertising 522 Store or franchise owners 523 Kiosk and market vendors 611 Farmers and skilled workers in market produce 612 Qualified cattle growers and workers 614 Qualified forestry workers 615 Fishermen, hunters and trappers 711 Miners, quarrymen 712 Construction workers (building) 713 Construction workers (finishing) 714 Painters, window cleaners 721 Molders, welders, panel beaters, assemblers 722 Blacksmith, armoire 723 Mechanics for cars, planes or farming machinery 724 Mechanics for electric and electronic equipment 731 Jewelers and tuners of musical instruments 732 Potters, crystal craftsmen, engravers and painters of crafts 733 Wood, fabric or leather craftsmen 734 Graphic arts craftsmen 741 Food processing workers 742 Wood processing and cabinet makers 743 Textile makers and preparers 744 Hide, leather and shoes craftsmen 811 Mine installation and extraction process specialists 812 Metal processing installation specialists 813 Glass and ceramic installation specialists 814 Wood processers and paper makers 815 Chemical production installation specialists 816 Energy production installation specialists 817 Production chain workers 821 Operators of mechanical equipment for the treatment of metals or production of cement 822 Operators for the production and processing of chemical materials 823 Operators for the production of plastic materials 824 Operators for the production of wood products 825 Operators for the production of paper products 826 Operators for the production of textiles and leather 827 Operators for the food processing production 828 Machinery assemblers 829 Other machinery operators 831 Railway workers 832 Public and private transportation drivers 833 Farming and forestry machinery operators 834 Sailors 911 Peddlers 912 Shoe shiners 913 Domestics 914 Car and window washers 915 Messengers, delivery services workers, porters 916 Trash collectors 921 Farming/herding, forestry, fishing assistants 931 Mine and metallurgy assistants and auxiliaries 932 Manufacturing industry assistants and auxiliaries 933 Transportation and motorization non-qualified assistants 998 Unknown 999 NIU (not in universe) Work: Occupation Variables -- PERSON Industry <svar v=" CU02A419 CU02A420 CU02A421"><span class="em">For persons 15 years old or more </span><br />[Questions 17-21]<br /></svar></p> <p><svar v="CU02A419 CU02A420 CU02A421" a=" CU02A419">17. What did you do during the week before September 7?<br /><div class="i1">[] 01 Worked - Continue with question 18<br />[] 02 Had a job, but did not work - Continue with question 18<br />[] 03 Looked for work because he/she had lost his/her job<br />[] 04 Looked for work for the first time<br />[] 05 Retired or receiving a pension<br />[] 06 Collects rents or receives economic support<br />[] 07 Household chores<br />[] 08 Student<br />[] 09 Incapacitated for work<br />[] 10 Does not carry out any economic activity<br />[] 11 In the hospital, in an asylum, or recluse who does not work<br />[] 12 Other situation<br /><br />For answers 03, 04, 05, 06, 07, 08, 09, 10, 11, 12: end of interview.</div><br /></svar></p> <p><svar v="CU02A421">19. What is the name of the place where you were affiliated in this week?<br /></svar></p> <p><svar v="CU02A421" a="all"><div class="i1">b. What does the place do [literally: what is it dedicated to]?</div><br /><div class="i2">[Question 19b was asked of persons age 15 and older who had worked or had a job during the week before September 7, per question 17.]<br /><br />*Examples: Cattle ranching, clothing repairs, public food, housing services, etc.<br /><br />____<br />According to the classifier _ _</div><br /></svar> <svar v="CU02A421" a="all"><span class="em">Question 19. What is the name of the place where you were affiliated in this week?</span><br /><br />With this question we want to know the name and the work that is done in the place where the person does his/her labor activities. The question has two parts. The first refers to the place where the person works and the second is to know the basic activity of that is carried out in said place.<br /></svar></p> <p><svar v="CU02A421">b. What did you do in said place?<br />(Examples: Cattle production, clothing repair, public food preparation, housing services, etc.)<br /><div class="i1">_____<br />_____<br />[ _ _ ]</div><br />(according to the classifier)<br /><br />You should try to write the answer declared by the interviewee on the spaces taking into account the following suggestions for part A). Answers for Part A):<br /><br />You should avoid / You should write:<br /><div class="i1">Workshop / Auto mechanic workshop<br />School / Elementary School Batalla de Guisa<br />Hospital / Maternity Hospital Inés Maria<br />Cooperative / Cooperative Vitalio Acuña</div><br /><br />In the case of Part B) you will write, on the lines provided for this purpose, the answers given by the interviewee, but you should always clarify that it is the primary activity of the place, which may not coincide with the activity of the person.<br /><br />In this question, you should leave the space that corresponds to the codification blank.<br /><br />In regard to the workers who are employed provided services to Census, for question 18 and 19 the enumerator should write the habitual occupation of the person, as well as the habitual work place and the activity that the person does in the work place and not the activity of the Census.<br /></svar> Cuba 2002: Persons age 15+ who worked or had a job [discrepancies: none] This variable indicates the industry where the person worked during the week before September 7th, 2002. 01 Agriculture, livestock, hunting and forestry 02 Fishing, including fish farming 03 Mining and quarrying 04 Sugar industry 05 Manufacturing (except sugar industry) 06 Electric, gas and water supply 07 Construction 08 Commerce; repair of personal items 09 Hotels and restaurants 10 Transportation, storage and communications 11 Financial intermediation 12 Services to businesses, real estate and rental services 13 Public administration; social security 14 Science and technological innovation 15 Education 16 Public health and social services 17 Culture; sports 18 Other jobs related to community service, services to organizations and individuals 98 Unknown 99 NIU (not in universe) Work: Industry Variables -- PERSON