V National Population and Housing Census, 1970 DDI_DOM_1970_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. V National Population and Housing Census, 1970 - IPUMS Subset PHC do1970a (IPUMS Harmonized Subset) DOM_1970_PHC_v01_M_v7.6_A_IPUMS Oficina Nacional de Estadística (ONE) IPUMS (c) Copyright 1970, Oficina Nacional de Estadística (ONE) and Minnesota Population Center Oficina Nacional de Estadística (ONE) Population and Housing Census [hh/popcen] IPUMS International DOI:10.18128/D020.V7.6 Version 7.6. The datasets contain selected variables from the original microdata plus harmonized variables from the IPUMS-International database. Demographic Variables -- PERSON Geography: Global Variables -- HOUSEHOLD Fertility and Mortality Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Disability Variables -- PERSON Education Variables -- PERSON Geography: A-E Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Technical Person Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON January 10, 1970 1 day Dominican Republic Municipality Persons UNITS IDENTIFIED: - Dwellings: no - Vacant Units: No - Households: no - Individuals: yes - Group quarters: no UNIT DESCRIPTIONS: - Dwellings: A structurally separate and independent place that is used as permanent or temporary lodging. Any building that is wholly or partially used for logding is considered a dwelling. - Households: A household usually corresponds with a family: a) two or more people usually linked by kinship (father, mother, children, nephews and nieces, etc.) that share food and other necessities and share a portion of a dwelling, an entire dwelling, or multiple dwellings; b) a group of two or more people, related or unrelated, that live together and share food and other necessities; c) a person living alone who does not share food or other necessities with any other person. - Group quarters: --- All persons who spent the night of January 9th to January 10th, 1970 in the dwelling. Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Dominican Republic 1970 Note: Persons not organized into households MICRODATA SOURCE: Oficina Nacional de Estadística (ONE) SAMPLE SIZE (person records): 272090. SAMPLE DESIGN: Sample method unknown Face-to-face [f2f] Two types of enumeration forms: a long form used for 10% of households and a short form used for all other households. Both multi-page forms were presented as booklets and requested information on dwellings, households and individuals. The long form requested information on certain dwelling characteristics, place of birth, fertility, and economic characteristics that was not requested on the short form. de facto, CENSUS DAY: January 10, 1970 Weights computed by census agency should be used for most types of analysis. 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. Oficina Nacional de Estadística (ONE) 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: Dominican Republic, Oficina Nacional de Estadística (ONE). V National Population and Housing Census, 1970 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 do1970a, 2025 DOM1970_PHC-H-H.dat Household records n.a. ascii Minnesota Population Center Version 7.5, IPUMS sample DOM1970_PHC-P-H.dat Person records 272090 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 Urban-rural status URBAN indicates whether the household was located in a place designated as urban or as rural. 1 Rural 2 Urban 9 Unknown Geography: Global Variables -- HOUSEHOLD Continent and region of country REGIONW identifies the continent and region of each country. 11 Eastern Africa 12 Middle Africa 13 Northern Africa 14 Southern Africa 15 Western Africa 21 Caribbean 22 Central America 23 North America 24 South America 31 Central Asia 32 Eastern Asia 33 Southern Asia 34 South-Eastern Asia 35 Western Asia 41 Eastern Europe 42 Northern Europe 43 Southern Europe 44 Western Europe 51 Australia and New Zealand 52 Melanesia 53 Micronesia 54 Polynesia Geography: Global Variables -- HOUSEHOLD 1st subnational geographic level, world [consistent boundaries over time] GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV1 is a 6-digit numeric variable. GEOLEV1 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO1_BR. Geography: Global Variables -- HOUSEHOLD 2nd subnational geographic level, world [consistent boundaries over time] GEOLEV2 indicates the second major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. Second administrative units in GEOLEV2 have been spatio-temporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV2 is a 9-digit numeric variable. GEOLEV2 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO2_BR. Geography: Global Variables -- HOUSEHOLD Population density of GEOLEV1 unit, in persons per square kilometer POPDENSGEO1 indicates the population density in persons per square kilometer of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO1 is an 8-digit numeric variable listing the population density in persons per square kilometer. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Population density of GEOLEV2 unit, in persons per square kilometer POPDENSGEO2 indicates the population density in persons per square kilometer of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO2 is a 12-digit numeric variable listing the population density in persons per square kilometer. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Area of GEOLEV1 unit in square kilometers AREAMOLLWGEO1 indicates the area in square kilometers of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO1 is a 10-digit numeric variable listing the area in square kilometers. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Area of GEOLEV2 unit in square kilometers AREAMOLLWGEO2 indicates the area in square kilometers of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO2 is a 10-digit numeric variable listing the area in square kilometers. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Dominican Republic, Province 1960 - 2010 [Level 1; consistent boundaries, GIS] GEO1_DO identifies the household's province within the Dominican Republic in all sample years, except 2002. Provinces are the first level administrative units of the country. GEO1_DO 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_DO can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for the Dominican Republic 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. 214001 Distrito Nacional, Santo Domingo 214002 Azua 214003 Baoruco, Barahona, Independencia 214005 Dajabón 214006 Duarte 214007 Elías Piña 214008 El Seibo, Hato Mayor 214009 Espaillat 214011 La Altagracia, La Romana 214013 Monseñor Nouel, La Vega 214014 María Trinidad Sánchez 214015 Monte Cristi 214016 Pedernales 214017 San José de Ocoa, Peravia 214018 Puerto Plata, Santiago 214019 Hermanas Mirabal 214020 Samaná 214021 San Cristóbal, Monte Plata 214022 San Juan 214023 San Pedro De Macorís 214024 Sánchez Ramírez 214026 Santiago Rodríguez 214027 Valverde Geography: A-E Variables -- HOUSEHOLD Dominican Republic, Province 1970 [Level 1, GIS] GEO1_ DO1970 identifies the household's province within Dominican Republic in 1970. Provinces are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_ DO1970 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Dominican Republic can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. 001 National District 002 La Altagracia 003 Azua 004 Bahoruco 005 Barahona 006 Dajabón 007 Duarte 008 Espaillat 009 La Estrelleta 010 Independencia, Pedernales 011 María Trinidad Sánchez 012 Monte Cristi 014 Peravia 015 Puerto Plata 016 La Romana 017 Salcedo 018 Samaná 019 San Cristóbal 020 San Juan 021 San Pedro de Macorís 022 Sánchez Ramírez 023 Santiago 024 Santiago Rodríguez 025 El Seibo 026 Valverde 027 La Vega Geography: A-E Variables -- HOUSEHOLD Dominican Republic, Municipality 1960 - 2010 [Level 2; consistent boundaries, GIS] GEO2_ DO identifies the household's municipality within Dominican Republic in all sample years, except 2002. Municipalities are the second level administrative units of the country, after provinces. GEO2_ DO 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_ DO can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Dominican Republic 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. 214001001 Santo Domingo de Guzman, Santo Domingo Este, Santo Domingo oeste, Santo Domingo Norte, Boca Chica, San Antonio de Guerra, Los Alcarrizos, Pedro Brand 214002001 Las Charcas, Las Yayas de Viajama, Padre las Casas, Peralta, Sabana Yegua, Pueblo Viejo, Tábara Arriba, Guayabal, Estebanía, Azua 214003001 Neiba, Galvan 214003002 Tamayo, Vicente Noble 214003003 Villa Jaragua, Los Ríos, Postrer Río 214003004 Barahona, El Peñon, La Cienaga, Fundación, Jaquimeyes 214003005 Cabral, Las Salinas, Duvergé, Cristóbal, Mella 214003006 Enriquillo, Paraiso, Polo 214003007 Jimaní, La Descubierta 214005001 Dajabón, Loma de Cabrera, Partido, Restauración, El Pino 214006001 San Francisco de Macorís, Las Guáranas 214006002 Arenoso, Villa Riva 214006003 Castillo, Pimentel, Eugenio María de Hostos 214006099 Duarte Province, municipality unknown 214007001 Comendador, Banica, El Llano, Hondo Valle, Pedro Santana, Juan Santiago 214008001 El Seibo 214008002 Miches 214008003 Hato Mayor 214008004 Sabana de la Mar, El Valle 214009001 Moca, Cayetano Germosén, Jamao al Norte 214009003 Gaspar Hernández 214011001 Higüey 214011002 San Rafael del Yuma 214011003 La Romana, Guaymate, Villa Hermosa 214013001 La Vega, Jima Abajo 214013002 Constanza 214013003 Jarabacoa 214013004 Bonao, Maimón, Piedra Blanca 214014001 Nagua, El Factor 214014002 Cabrera, Río San Juan 214015001 Monte Cristi, Pepillo Salcedo, Villa Vásquez 214015002 Castañuelas, Guayubín, Las Matas de Santa Cruz 214016001 Pedernales, Oviedo 214017001 Baní 214017002 Nizao 214017003 San José de Ocoa, Sabana Larga, Rancho Arriba 214018001 Puerto Plata, Villa Montellano, Tamboril 214018002 Altamira, Guananico 214018003 Imbert 214018004 Los Hidalgos, Luperón, Villa Isabela 214018005 Sosúa 214018006 Santiago, Puñal, Sabana Iglesia 214018007 Bisonó 214018009 Licey Al Medio 214018010 Jánico, San José de las Matas 214018011 Villa González 214019001 Salcedo, Tenares, Villa Tapia 214020001 Samaná, Sánchez, Las Terrenas 214021001 San Cristóbal, Cambita Garabitos, San Gregorio de Nigua, Los Cacaos 214021003 Bajos de Haina 214021004 Villa Altagracia 214021005 Sabana Grande de Palenque, Yaguate 214021006 Monte Plata, Sabana Grande de Boya 214021007 Bayaguana 214021008 Yamasá, Peralvillo 214022001 San Juan, Bohechío, Juan de Herrera 214022002 El Cercado, Vallejuelo 214022003 Las Matas de Farfán 214023001 San Pedro de Macorís, Ramón Santana, Consuelo, Guayacanes 214023002 Los Llanos, Quisqueya 214024001 Cotuí, Cevicos, La Mata 214024003 Fantino 214026001 San Ignacio de Sabaneta, Villa los Almácigos, Monción 214027001 Mao 214027002 Esperanza 214027003 Laguna Salada Geography: A-E Variables -- HOUSEHOLD Dominican Republic, Municipality 1970 [Level 2, GIS] GEO2_ DO1970 identifies the household's municipality within Dominican Republic in 1970. Municipalities are the second level administrative units of the country, after provinces. A GIS map (in shapefile format), corresponding to GEO2_ DO1970 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Dominican Republic can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. 001001 National District 002001 Higüey 002002 San Rafael de Yuma 003001 Azua 003002 Padre Las Casas 004001 Neiba 004002 Tamayo 004003 Vicente Noble 004004 Jaragua 005001 Barahona 005002 Cabral 005003 Enriquillo, Paraíso 006001 Dajabón, Pepillo Salcedo 006002 Loma de Cabrera 006003 Restauración 007001 San Francisco de Macorís 007002 Villa Riva 007003 Pimentel, Hostos 007004 Castillo 008001 Moca, José Contreras 008002 Cayetano Germosen 008003 Gaspar Hernandez 009001 Hondo Valle 009002 Elias Piña 009003 Bánica, Pedro Santana 010001 Pedernales, Oviedo 010002 Jimaní, La Descubierta, Postrer Río 010003 Duvergé 011001 Cabrera 011002 Río San Juan 011003 Nagua 012001 Monte Cristi, Pepillo Salcedo 012002 Villa Vásquez 012003 Castañuelas, Guayubín 014001 Nizao 014002 San José de Ocoa 014003 Baní 015001 Puerto Plata 015002 Luperón 015003 Los Hidalgo 015004 Imbert 015005 Altamira 015006 Sosúa 016001 La Romana 016002 Guaymate 017001 Salcedo 017002 Tenares 017003 Villa Tapia 018001 Samaná 018002 Sánchez 019001 Villa Altagracia 019002 Yamasá 019003 Bajos de Haina 019004 San Cristóbal, Sabana Grande de Palenque 019005 Bayaguana 019006 Sabana Grande de Boyá 019007 Monte Plata 019008 Yaguate 020001 El Cercado 020002 San Juan 020003 Las Matas de Farfan 021001 San Pedro de Macorís, Ramón Santana 021002 Los Llanos 022001 Cotuí 022002 Fantino 022003 Cevicos 023001 Tamboril 023002 Licey al Medio 023003 San José de las Matas 023004 Jánico 023005 Bisonó 023006 Santiago 023007 Villa Gonzalez 024001 Santiago Rodríguez, Monción 025001 Sabana de la Mar, El Valle 025002 Miches 025003 Hato Mayor 025004 El Seibo 026001 Laguna Salada 026002 Valverde 026003 Esperanza 027001 Jarabacoa 027002 La Vega 027003 Monseñor Nouel 027004 Constanza Geography: A-E Variables -- HOUSEHOLD Dominican Republic, Subregions SUBRDO indicates the sub-region within Dominican Republic in which the household was enumerated. SUBRDO is harmonized by name and does not account for boundary changes over time. The full set of geography variables for Dominican Republic 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. 01 Cibao Norte 02 Cibao Sur 03 Cibao Nordeste 04 Cibao Noroeste 05 Valdesia 06 Enriquillo 07 El Valle 08 Yuma and Higuamo 10 Ozama Geography: A-E Variables -- HOUSEHOLD Urban-rural status <span class="h3">For households of one to six people</span></p> <p>____ Province <br />____ Municipality or municipal district <br />____ City (for urban areas) <br />____ Section (for rural areas) <br />____ Rural location (<span class="lang">paraje</span>) <br />____ Zone number <br />____ Form number <br />____ Control sheet number <span class="h3">11.1 Title page</span></p> <p>The geographical data needed to individualize the census form is recorded on the title page. The province and municipality or municipal district must be recorded on all forms. The name of the corresponding city, for urban areas, and the name of the section and of the rural location [<span class="lang">paraje</span>], for rural areas, is recorded also. <span class="em">"Urban areas" </span>are considered to be the areas that correspond to the seats of municipalities or municipal districts and <span class="em">"rural areas"</span> are the areas corresponding to the population of the sections of municipalities or municipal districts. The enumeration zone number, found in the List of Dwellings given to the enumerators is also recorded on the title page along with the form number assigned by the enumerator as the forms are filled out, starting with the number 1, for each zone. Also recorded on the title page is the corresponding control sheet number that is the same that is recorded in the "Enumerator's Number" box found on the control sheet and is assigned by the group leader. The complete names of the enumerator and of the group leader are also recorded on the title page. The other information requested on the title sheet, i.e. names of critic, encoder, transcriber, and evaluator as well as the spaces used for coding, will be used by the National Office of Statistics after enumeration. The upper right-hand corner of the title page contains the information relating to the number of persons fitting in the form. Therefore, before starting to use a certain form, the enumerator should carefully ask about the number of census household members in order to choose and use a census form with the appropriate capacity. If, in spite of this effort, it is discovered later that the number of census household members is other than what was previously thought, the correct procedure is to start over in a new pamphlet with the correct capacity and to simply return the unused form with the rest of the materials. Dominican Republic 1970: All households [discrepancies: none] This variable indicates whether the household was located in a place designated as urban or as rural. 1 Urban 2 Rural Geography: A-E Variables -- HOUSEHOLD Strata Dominican Republic 1970: 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 Relationship to household head [general version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown Demographic Variables -- PERSON Relationship to household head [detailed version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1000 Head 2000 Spouse/partner 2100 Spouse 2200 Unmarried partner 2210 Civil union 2300 Same-sex spouse/partner 3000 Child 3100 Biological child 3200 Adopted child 3300 Stepchild 3400 Child/child-in-law 3500 Child/child-in-law/grandchild 3600 Child of unmarried partner 4000 Other relative 4100 Grandchild 4110 Grandchild or great grandchild 4120 Great grandchild 4130 Great-great grandchild 4200 Parent/parent-in-law 4210 Parent 4211 Stepparent 4220 Parent-in-law 4300 Child-in-law 4301 Daughter-in-law 4302 Spouse/partner of child 4310 Unmarried partner of child 4400 Sibling/sibling-in-law 4410 Sibling 4420 Stepsibling 4430 Sibling-in-law 4431 Sibling of spouse/partner 4432 Spouse/partner of sibling 4500 Grandparent 4510 Great grandparent 4600 Parent/grandparent/ascendant 4700 Aunt/uncle 4800 Other specified relative 4810 Nephew/niece 4820 Cousin 4830 Sibling's sibling-in-law 4900 Other relative, not elsewhere classified 4910 Other relative with same family name 4920 Other relative with different family name 4930 Other relative, not specified (secondary family) 5000 Non-relative 5100 Friend/guest/visitor/partner 5110 Partner/friend 5111 Friend 5112 Partner/roommate 5113 Housemate/roommate 5120 Visitor 5130 Ex-spouse 5140 Godparent 5150 Godchild 5200 Employee 5210 Domestic employee 5220 Relative of employee, n.s. 5221 Spouse of servant 5222 Child of servant 5223 Other relative of servant 5300 Roomer/boarder/lodger/foster child 5310 Boarder 5311 Boarder or guest 5320 Lodger 5330 Foster child 5340 Tutored/foster child 5350 Tutored child 5400 Employee, boarder, or guest 5500 Other specified non-relative 5510 Agregado 5520 Temporary resident, guest 5600 Group quarters 5610 Group quarters, non-inmates 5620 Institutional inmates 5900 Non-relative, n.e.c. 6000 Other relative or non-relative 9999 Unknown Demographic Variables -- PERSON Age AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. 000 Less than 1 year 001 1 year 002 2 years 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100+ 999 Not reported/missing Demographic Variables -- PERSON Age, grouped into intervals AGE2 gives computed years of age grouped into intervals. 01 0 to 4 02 5 to 9 03 10 to 14 04 15 to 19 05 0 to 5 06 6 to 10 07 10 to 15 08 11 to 14 09 15 to 17 10 16 to 19 11 18 to 24 12 20 to 24 13 25 to 29 14 30 to 34 15 35 to 39 16 40 to 44 17 45 to 49 18 50 to 54 19 55 to 59 20 60 to 64 21 65 to 69 22 70 to 74 23 75 to 79 24 80 to 84 25 85+ 98 Unknown Demographic Variables -- PERSON Sex SEX reports the sex (gender) of the respondent. 1 Male 2 Female 9 Unknown Demographic Variables -- PERSON Marital status [general version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 0 NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing Demographic Variables -- PERSON Marital status [detailed version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 000 NIU (not in universe) 100 Single/never married 110 Engaged 111 Never married and never cohabited 200 Married or consensual union 210 Married, formally 211 Married, civil 212 Married, religious 213 Married, civil and religious 214 Married, civil or religious 215 Married, traditional/customary 216 Married, monogamous 217 Married, polygamous 219 Married, spouse absent (historical samples) 220 Consensual union 300 Separated/divorced/spouse absent 310 Separated or divorced 320 Separated or annulled 330 Separated 331 Separated legally 332 Separated de facto 333 Separated from marriage 334 Separated from consensual union 335 Separated from consensual union or marriage 340 Annulled 350 Divorced 400 Widowed 410 Widowed or divorced 411 Widowed from consensual union or marriage 412 Widowed from marriage 413 Widowed from consensual union 420 Widowed, divorced, or separated 999 Unknown/missing Demographic Variables -- PERSON Consensual union CONSENS indicates whether the respondent was in a consensual union -- a de facto marriage. 1 Yes, in consensual union 2 No, married 8 Unknown 9 NIU (not in universe) Demographic Variables -- PERSON Children ever born CHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children surviving CHSURV reports the number of children born to a woman who were still living at the time of the census. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of births last year BIRTHSLYR indicates whether any -- and in most cases how many -- children were born to a woman in the past twelve months. 0 None 1 1 (1 or more) 2 2 3 3 4 4+ 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON 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 School attendance SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census. 0 NIU (not in universe) 1 Yes 2 No, not specified 3 No, attended in the past 4 No, never attended 9 Unknown/missing Education Variables -- PERSON Literacy LIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both. 0 NIU (not in universe) 1 No, illiterate 2 Yes, literate 9 Unknown/missing Education Variables -- PERSON Educational attainment, international recode [general version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 0 NIU (not in universe) 1 Less than primary completed 2 Primary completed 3 Secondary completed 4 University completed 9 Unknown Education Variables -- PERSON Educational attainment, international recode [detailed version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 000 NIU (not in universe) 100 Less than primary completed (n.s.) 110 No schooling 120 Some primary completed 130 Primary (4 yrs) completed 211 Primary (5 yrs) completed 212 Primary (6 yrs) completed 221 Lower secondary general completed 222 Lower secondary technical completed 311 Secondary, general track completed 312 Some college completed 320 Secondary or post-secondary technical completed 321 Secondary, technical track completed 322 Post-secondary technical education 400 University completed 999 Unknown/missing Education Variables -- PERSON Years of schooling YRSCHOOL indicates the highest grade/level of schooling the person had completed, in years. Only formal schooling is counted. YRSCHOOL accounts for the number of years of study, regardless of the track or kind of study. Information on degree and/or technical track is available in EDATTAIN. Years of schooling for Israel, categorized into intervals, are given in YRSCHOOL2. Users should pay close attention to the top-codes in each sample, as discussed in the comparability section. 00 None or pre-school 01 1 year 02 2 years 03 3 years 04 4 years 05 5 years 06 6 years 07 7 years 08 8 years 09 9 years 10 10 years 11 11 years 12 12 years 13 13 years 14 14 years 15 15 years 16 16 years 17 17 years 18 18 years or more 90 Not specified 91 Some primary 92 Some technical after primary 93 Some secondary 94 Some tertiary 95 Adult literacy 96 Special education 98 Unknown/missing 99 NIU (not in universe) Education Variables -- PERSON Educational attainment, Dominican Republic EDUCDO indicates the person's educational attainment in the Dominican Republic in terms of the level of schooling completed. 000 NIU (not in universe) 100 None 200 Preschool 201 Preschool, year 1 202 Preschool, year 2 203 Preschool, year 3 204 Preschool, not complete 205 Preschool, complete 300 Primary, less than 1 year 301 Primary, year 1 302 Primary, year 2 303 Primary, year 3 304 Primary, year 4 305 Primary, year 5 306 Primary, year 6 307 Primary, year 7 308 Primary, year 8 309 Primary, year unknown 401 Intermediate, year 1 402 Intermediate, year 2 403 Intermediate, year unknown 410 Secondary, less than 1 year 411 Secondary, year 1 412 Secondary, year 2 413 Secondary, year 3 414 Secondary, year 4 415 Secondary, year unknown 421 Reformed secondary, year 1 422 Reformed secondary, year 2 423 Reformed secondary, year 3 424 Reformed secondary, year 4 425 Reformed secondary, year 5 426 Reformed secondary, year 6 500 University, less than 1 year 501 University, year 1 502 University, year 2 503 University, year 3 504 University, year 4 505 University, year 5 506 University, year 6 507 University, year 7 508 University, year 8 509 University, year unknown 510 Speciality 511 Speciality, year 1 512 Speciality, year 2 520 Masters 521 Masters, year 1 522 Masters, year 2 523 Masters, year 3 530 Doctorate 531 Doctorate, year 1 532 Doctorate, year 2 533 Doctorate, year 3 534 Doctorate, year 4 998 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 Industry, general recode INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples. "Industry" refers to the activity or product of the establishment or sector in which a person worked. 000 NIU (not in universe) 010 Agriculture, fishing, and forestry 020 Mining and extraction 030 Manufacturing 040 Electricity, gas, water and waste management 050 Construction 060 Wholesale and retail trade 070 Hotels and restaurants 080 Transportation, storage, and communications 090 Financial services and insurance 100 Public administration and defense 110 Services, not specified 111 Business services and real estate 112 Education 113 Health and social work 114 Other services 120 Private household services 130 Other industry, n.e.c. 998 Response suppressed 999 Unknown Work Variables -- PERSON Industry, unrecoded "Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International. IND is a 5-digit numeric variable. Some samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Argentina 1970 - see Variable: AR1970A_IND4 - Industry [4 digit] Argentina 1980 - see Variable: AR1980A_IND - Industry Argentina 1991 - see Variable: AR1991A_IND - Industry Argentina 2001 - see Variable: AR2001A_IND - Industry Armenia 2001 - see Variable: AM2001A_IND - Principal activity at place of work Armenia 2011 - see Variable: AM2011A_IND - Industry Austria 1971 - see Variable: AT1971A_INDBR - Economic activity of supporter: branch Austria 1981 - see Variable: AT1981A_INDBR - Economic activity of supporter: branch Austria 1991 - see Variable: AT1991A_INDBR - Economic activity of supporter: branch Austria 2001 - see Variable: AT2001A_INDBR - Economic activity of supporter: branch Austria 2011 - see Variable: AT2011A_IND - Industry Bangladesh 1991 - see Variable: BD1991A_IND - Industry Bangladesh 2001 - see Variable: BD2001A_IND - Main work field Bangladesh 2011 - see Variable: BD2011A_IND - Industry Belarus 2009 - see Variable: BY2009A_ECONACT - Industry Benin 1979 - see Variable: BJ1979A_IND - Industry (1-digit) Benin 1992 - see Variable: BJ1992A_IND3 - Industry (2-digits) Benin 2002 - see Variable: BJ2002A_IND2 - Industry (2-digits) Benin 2013 - see Variable: BJ2013A_IND3 - Industry (3-digit) Bolivia 1976 - see Variable: BO1976A_IND - Industry Bolivia 1992 - see Variable: BO1992A_IND3 - Activity, 3 digits Bolivia 2001 - see Variable: BO2001A_IND3 - Industry, 3 digits Bolivia 2012 - see Variable: BO2012A_IND2 - Industry (2 digit) Botswana 1981 - see Variable: BW1981A_IND - Industry Botswana 1991 - see Variable: BW1991A_IND - Industry Botswana 2001 - see Variable: BW2001A_IND - Industry Botswana 2011 - see Variable: BW2011A_IND - Industry, 3-digits Brazil 1960 - see Variable: BR1960A_INDUSTRY - Industry Brazil 1970 - see Variable: BR1970A_INDUSTRY - Industry Brazil 1980 - see Variable: BR1980A_INDUSTRY - Industry Brazil 1991 - see Variable: BR1991A_IND - Industry Brazil 2000 - see Variable: BR2000A_IND - Industry, 5 digits Brazil 2010 - see Variable: BR2010A_IND - Industry of work from July 25 to July 31, 2010 Burkina Faso 1996 - see Variable: BF1996A_IND - Branch of activity Cambodia 1998 - see Variable: KH1998A_IND - Industry Cambodia 2004 - see Variable: KH2004A_IND3 - Industry (3-digits) Cambodia 2008 - see Variable: KH2008A_IND - Industry Cambodia 2013 - see Variable: KH2013A_IND - Industry (3-digits) Cambodia 2019 - see Variable: KH2019A_IND3 - Industy (ISIC rev 4, 3-digit) Cameroon 2005 - see Variable: CM2005A_IND - Industry Canada 1971 - see Variable: CA1971A_IND - Industry Canada 1981 - see Variable: CA1981A_IND - Industry (1981 standard industrial classification) Canada 1991 - see Variable: CA1991A_IND80 - Industry (1980 standard industrial classification) Canada 2001 - see Variable: CA2001A_IND80P - Industry (1980 Standard Industrial Classification) Canada 2011 - see Variable: CA2011A_IND - Industry Chile 1960 - see Variable: CL1960A_IND - Industry Chile 1970 - see Variable: CL1970A_IND4 - Industry (4-digit) Chile 1982 - see Variable: CL1982A_IND4 - Industry (4-digit) Chile 1992 - see Variable: CL1992A_IND - Industry Chile 2002 - see Variable: CL2002A_IND - Industry Chile 2017 - see Variable: CL2017A_IND - Industry (1-digit) China 1982 - see Variable: CN1982A_INDUSTRY - Industry China 1990 - see Variable: CN1990A_IND - Industry China 2000 - see Variable: CN2000A_IND - Industry (2-digit) Colombia 1964 - see Variable: CO1964A_IND4 - Industry, 4 digits Colombia 1973 - see Variable: CO1973A_IND - Industry Colombia 1993 - see Variable: CO1993A_IND - Industry Colombia 2005 - see Variable: CO2005A_IND - Industry (2-digit) Costa Rica 1963 - see Variable: CR1963A_IND3 - Industry, 3 digits Costa Rica 1973 - see Variable: CR1973A_IND4 - Industry, 4 digits Costa Rica 1984 - see Variable: CR1984A_IND4 - Industry, 4 digits Costa Rica 2000 - see Variable: CR2000A_IND3 - Industry, 3 digits Costa Rica 2011 - see Variable: CR2011A_IND - Industry 2-digit Cuba 2002 - see Variable: CU2002A_IND - Industry Cuba 2012 - see Variable: CU2012A_IND - Industry Côte d'Ivoire 1988 - see Variable: CI1988A_IND - Industry (1-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_IND2 - Industry sector (detailed) Dominican Republic 1960 - see Variable: DO1960A_IND - Industry Dominican Republic 1970 - see Variable: DO1970A_IND1 - Industry, 3 digits Dominican Republic 1981 - see Variable: DO1981A_IND - Industry (3-digit) Dominican Republic 2002 - see Variable: DO2002A_IND - Industry Dominican Republic 2010 - see Variable: DO2010A_IND - Main activity of business Ecuador 1962 - see Variable: EC1962A_IND3 - Industry, 3 digits Ecuador 1982 - see Variable: EC1982A_IND3 - Industry Ecuador 1990 - see Variable: EC1990A_IND3 - Industry, 3 digits Ecuador 2001 - see Variable: EC2001A_IND - Industry, 3 digits Ecuador 2010 - see Variable: EC2010A_IND3 - Industry (3 digits, ISIC rev 4) Egypt 1986 - see Variable: EG1986A_IND3 - Industry (3-digit) Egypt 1996 - see Variable: EG1996A_IND3 - Industry (ISIC) Egypt 2006 - see Variable: EG2006A_IND - Industry, 3-digit El Salvador 1992 - see Variable: SV1992A_IND - Industry (3-digit) El Salvador 2007 - see Variable: SV2007A_IND3DIG - Industry (3-digit) Ethiopia 1984 - see Variable: ET1984A_IND2 - Industry Ethiopia 1994 - see Variable: ET1994A_IND - Industry Fiji 1966 - see Variable: FJ1966A_IND - Industry Fiji 1976 - see Variable: FJ1976A_IND - Industry Fiji 1986 - see Variable: FJ1986A_IND - Industry 3 digits Fiji 1996 - see Variable: FJ1996A_IND2DIG - Industry (2 digits) Fiji 2007 - see Variable: FJ2007A_IND2 - Industry, 2 digits Fiji 2014 - see Variable: FJ2014A_IND - Industry Finland 2010 - see Variable: FI2010A_IND - Industry France 1962 - see Variable: FR1962A_IND - Industry France 1968 - see Variable: FR1968A_IND41 - Industry, 41 categories France 1975 - see Variable: FR1975A_INDUN - Industry, UNO France 1982 - see Variable: FR1982A_INDUN - Industry, United Nations nomenclature France 1990 - see Variable: FR1990A_IND15 - Industry, 15 categories France 1999 - see Variable: FR1999A_INDCITI - Industry, ISIC France 2006 - see Variable: FR2006A_IND700N - Economic activity in 700 categories (2003 classification) numeric recode France 2011 - see Variable: FR2011A_IND - Industry, 732 categories Germany 1970 - see Variable: DE1970A_IND - Industry Germany 1971 - see Variable: DE1971A_IND - Industry Germany 1981 - see Variable: DE1981A_IND - Industry Germany 1987 - see Variable: DE1987A_IND - Industry Ghana 2000 - see Variable: GH2000A_IND - Industry Ghana 2010 - see Variable: GH2010A_IND - Industry (major groups) Greece 1971 - see Variable: GR1971A_IND - Industry Greece 1981 - see Variable: GR1981A_IND - Industry Greece 1991 - see Variable: GR1991A_IND - Industry Greece 2001 - see Variable: GR2001A_IND - Industry Greece 2011 - see Variable: GR2011A_IND - Industry Guatemala 1964 - see Variable: GT1964A_IND3 - Field of economic activity (3-digits) Guatemala 1973 - see Variable: GT1973A_IND3 - Industry (3-digits) Guatemala 1981 - see Variable: GT1981A_IND3 - Industry (3-digits) Guatemala 1994 - see Variable: GT1994A_IND2 - Field of economic activity (2-digits) Guatemala 2002 - see Variable: GT2002A_IND1 - Field of economic activity (1-digit) Guinea 1983 - see Variable: GN1983A_IND2 - Branch of economic activity, 2 digits Guinea 2014 - see Variable: GN2014A_IND - Industry (3-digit) Haiti 1982 - see Variable: HT1982A_IND - Branch of work Haiti 2003 - see Variable: HT2003A_IND2 - Industry, 3 digits Honduras 1961 - see Variable: HN1961A_IND - Industry (2-digits) Honduras 1974 - see Variable: HN1974A_IND - Industry (3-digits) Honduras 2001 - see Variable: HN2001A_IND - Industry (4-digit) Honduras 2013 - see Variable: HN2013A_IND3 - Economic activity (3-digit) Hungary 2001 - see Variable: HU2001A_IND - Industry, branch of economy Hungary 2011 - see Variable: HU2011A_IND - Industry Indonesia 1971 - see Variable: ID1971A_IND - Industry Indonesia 1976 - see Variable: ID1976A_IND - Industry Indonesia 1980 - see Variable: ID1980A_IND - Industry Indonesia 1985 - see Variable: ID1985A_IND - Industry of primary occupation Indonesia 1990 - see Variable: ID1990A_IND - Industry of main occupation last week Indonesia 1995 - see Variable: ID1995A_IND - Industry Indonesia 2000 - see Variable: ID2000A_IND - Industry of primary occupation Indonesia 2005 - see Variable: ID2005A_IND - Industry Indonesia 2010 - see Variable: ID2010A_IND - Industry Iran 2006 - see Variable: IR2006A_IND4 - Industry Iran 2011 - see Variable: IR2011A_IND - Industry (3-digit) Iraq 1997 - see Variable: IQ1997A_IND - Industry Ireland 1971 - see Variable: IE1971A_IND - Industry Ireland 1981 - see Variable: IE1981A_IND - Industry class Ireland 1986 - see Variable: IE1986A_IND - Industry class Ireland 1991 - see Variable: IE1991A_IND - Industry class Ireland 1996 - see Variable: IE1996A_IND - Industry class Ireland 2002 - see Variable: IE2002A_IND - Industry class Ireland 2006 - see Variable: IE2006A_IND - Industry class Ireland 2011 - see Variable: IE2011A_IND - Industry Ireland 2016 - see Variable: IE2016A_IND - Industry Israel 1972 - see Variable: IL1972A_IND - Industry Israel 1983 - see Variable: IL1983A_IND - Industry Israel 1995 - see Variable: IL1995A_IND - Industry Israel 2008 - see Variable: IL2008A_IND - Branch of economy Italy 2001 - see Variable: IT2001A_IND - Industry Italy 2011 - see Variable: IT2011A_IND - Sector of economic activity Jamaica 1982 - see Variable: JM1982A_IND - Industry or type of business during past week / in last job Jamaica 1991 - see Variable: JM1991A_IND3 - Industry during past week or in last job, 3 digits Jamaica 2001 - see Variable: JM2001A_IND3 - Industry 3-digit Jordan 2004 - see Variable: JO2004A_IND - Major current economic activity of the establishment Kenya 2019 - see Variable: KE2019A_IND1 - Industry, ISIC section Kyrgyzstan 1999 - see Variable: KG1999A_IND - Activity type of an enterprise you are working in Kyrgyzstan 2009 - see Variable: KG2009A_IND - Type of industry, enterprise or organization Laos 1995 - see Variable: LA1995A_IND2 - Main industry in the last 12 months (2-digit) Laos 2005 - see Variable: LA2005A_IND3 - Industry (ISIC 3-digit) Laos 2015 - see Variable: LA2015A_IND2 - Industry (2-digit ISIC Rev. 4) Lesotho 2006 - see Variable: LS2006A_IND - Industry (2-digits) Liberia 1974 - see Variable: LR1974A_IND - Industry (3-digit) Liberia 2008 - see Variable: LR2008A_IND - Industry Malawi 1987 - see Variable: MW1987A_IND2 - Industry, 2 digit Malawi 1998 - see Variable: MW1998A_IND4 - Industry, 4-digit Malawi 2008 - see Variable: MW2008A_IND2 - Main industry Malawi 2018 - see Variable: MW2018A_IND3 - Main industry (ISIC 2008 3-digit) Malaysia 1970 - see Variable: MY1970A_IND3 - Industry last week Malaysia 1980 - see Variable: MY1980A_IND3 - Industry last week (3 digits) Malaysia 1991 - see Variable: MY1991A_IND3 - Main industry (3 digits) Malaysia 2000 - see Variable: MY2000A_IND3 - Main industry - 3 digits Mali 1987 - see Variable: ML1987A_IND - Principal branch of employment last month Mali 1998 - see Variable: ML1998A_IND - Branch of economic activity Mali 2009 - see Variable: ML2009A_IND - Industry Mauritius 1990 - see Variable: MU1990A_IND - Industry (1-digit) Mauritius 2000 - see Variable: MU2000A_IND1 - Industry (1 digit) Mauritius 2011 - see Variable: MU2011A_IND2 - Industry (2-digit) Mexico 1960 - see Variable: MX1960A_IND - Industry Mexico 1970 - see Variable: MX1970A_IND - Industry Mexico 1990 - see Variable: MX1990A_IND5 - Industry, 5 digits Mexico 1995 - see Variable: MX1995A_IND - Industry Mexico 2000 - see Variable: MX2000A_IND3 - Industry, 3 digits Mexico 2010 - see Variable: MX2010A_IND - Industry Mexico 2015 - see Variable: MX2015A_IND - Industry Mexico 2020 - see Variable: MX2020A_IND - Industry (4-digits) Mongolia 2000 - see Variable: MN2000A_IND - Industry Mongolia 2010 - see Variable: MN2010A_IND2 - Industry, division (ISIC Revision 4) Mongolia 2020 - see Variable: MN2020A_IND3 - Main industry (3-digit) Morocco 1982 - see Variable: MA1982A_IND3 - Industry (3-digit) Morocco 1994 - see Variable: MA1994A_IND2 - Industry (2 digits) Morocco 2004 - see Variable: MA2004A_IND2 - Sector of economic activity (2-digit) Morocco 2014 - see Variable: MA2014A_IND2 - Industry (2-digit) Mozambique 1997 - see Variable: MZ1997A_IND1 - Industry Mozambique 2007 - see Variable: MZ2007A_IND - Industry Mozambique 2017 - see Variable: MZ2017A_IND2 - Main economic activity (2-digits CAE Rev.2) Myanmar 2014 - see Variable: MM2014A_IND - Industry Nepal 2001 - see Variable: NP2001A_IND - Usual industry Nepal 2011 - see Variable: NP2011A_IND - Industry (2-digit) Netherlands 1960 - see Variable: NL1960A_IND - Industry Netherlands 1971 - see Variable: NL1971A_IND - Industry Netherlands 2001 - see Variable: NL2001A_IND - Industry Netherlands 2011 - see Variable: NL2011A_IND - Industry (1-digit) Nicaragua 1971 - see Variable: NI1971A_IND3 - Industry (ISIC2), 3 digits Nicaragua 1995 - see Variable: NI1995A_IND - Industry (ISIC 3.1, 3 digits) Nicaragua 2005 - see Variable: NI2005A_IND3 - Industry (ISIC 3.1, 3 digits)) Pakistan 1973 - see Variable: PK1973A_IND2 - Industry, 2 digit Palestine 1997 - see Variable: PS1997A_IND - Industry Palestine 2007 - see Variable: PS2007A_IND - Industry Palestine 2017 - see Variable: PS2017A_IND - Industry Panama 1960 - see Variable: PA1960A_IND3 - Industry (3 digit) Panama 1970 - see Variable: PA1970A_IND3 - Industry [3 digit] Panama 1980 - see Variable: PA1980A_IND - Industry, 3-digit Panama 1990 - see Variable: PA1990A_IND3 - Industry - 3 Digits Panama 2000 - see Variable: PA2000A_IND - Economic activity, 3 digits Panama 2010 - see Variable: PA2010A_IND - Economic activity, 4 digits Papua New Guinea 1980 - see Variable: PG1980A_IND - Industry, 3 digits Papua New Guinea 2000 - see Variable: PG2000A_IND3 - Industry (3-digit) Paraguay 1962 - see Variable: PY1962A_IND3 - Industry (3 digits) Paraguay 1972 - see Variable: PY1972A_IND3 - Industry (3 digits) Paraguay 1982 - see Variable: PY1982A_IND3 - Industry, 3-digits Paraguay 1992 - see Variable: PY1992A_IND3 - Industry, 3 digits Paraguay 2002 - see Variable: PY2002A_IND - Industry (4 digits) Peru 1993 - see Variable: PE1993A_IND - Economic activity (4 digits) Peru 2007 - see Variable: PE2007A_IND - Economic activity (4-digits) Peru 2017 - see Variable: PE2017A_IND4 - Economic activity (4-digits, in primary job last week) Philippines 1990 - see Variable: PH1990A_IND - Industry Philippines 1995 - see Variable: PH1995A_IND - Industry Philippines 2000 - see Variable: PH2000A_IND - Industry Philippines 2010 - see Variable: PH2010A_IND3 - Kind of business or industry (3-digit) Poland 1978 - see Variable: PL1978A_IND - Industry (of person providing support) Poland 2002 - see Variable: PL2002A_IND - Industry (main employer) Portugal 1981 - see Variable: PT1981A_IND - Industry Portugal 1991 - see Variable: PT1991A_IND - Industry Portugal 2001 - see Variable: PT2001A_IND - Industry Portugal 2011 - see Variable: PT2011A_IND - Industry Puerto Rico 1970 - see Variable: PR1970A_IND1990 - Industry, 1990 basis Puerto Rico 1980 - see Variable: PR1980A_IND1990 - Industry, 1990 basis Puerto Rico 1990 - see Variable: PR1990A_IND - Industry Puerto Rico 2000 - see Variable: PR2000A_IND1990 - Industry, 1990 basis Puerto Rico 2005 - see Variable: PR2005A_IND1990 - Industry, 1990 basis Puerto Rico 2010 - see Variable: PR2010A_IND - Industry Puerto Rico 2015 - see Variable: PR2015A_IND - Industry Puerto Rico 2020 - see Variable: PR2020A_IND - Industry Romania 1977 - see Variable: RO1977A_IND - Industry of supporter Romania 1977 - see Variable: RO1977A_WKACT - Activity category Romania 1992 - see Variable: RO1992A_IND - Industry Romania 2002 - see Variable: RO2002A_IND - Industry Romania 2011 - see Variable: RO2011A_INDGEN - Industry (general categories) Rwanda 2002 - see Variable: RW2002A_IND - Industry Rwanda 2012 - see Variable: RW2012A_IND2 - Industry (3-digit) Saint Lucia 1991 - see Variable: LC1991A_IND3 - Industry, 2 digit Senegal 1988 - see Variable: SN1988A_IND - Industry Senegal 2013 - see Variable: SN2013A_IND3 - Industry (3-digit) Sierra Leone 2004 - see Variable: SL2004A_IND - Industry Slovenia 2002 - see Variable: SI2002A_IND - Industry South Africa 1996 - see Variable: ZA1996A_IND2 - Industry, 2 digits South Africa 2001 - see Variable: ZA2001A_IND3 - Industry, 3 digit South Africa 2007 - see Variable: ZA2007A_IND3 - Industry, 3 digit South Sudan 2008 - see Variable: SS2008A_IND - Industry Spain 1981 - see Variable: ES1981A_IND - Industry Spain 1991 - see Variable: ES1991A_IND - Activity of the establishment Spain 2001 - see Variable: ES2001A_IND - Industry Spain 2011 - see Variable: ES2011A_IND - Industry, 2-digits Sudan 2008 - see Variable: SD2008A_IND - Industry Suriname 2004 - see Variable: SR2004A_IND - Industry Suriname 2012 - see Variable: SR2012A_IND - Industry (groups) Switzerland 1970 - see Variable: CH1970A_IND - Branch of economic activity (industry) Switzerland 1980 - see Variable: CH1980A_IND - Branch of economic activity (industry) Switzerland 1990 - see Variable: CH1990A_IND - Branch of economic activity (industry) Switzerland 2000 - see Variable: CH2000A_IND - Branch of economic activity (industry) Switzerland 2011 - see Variable: CH2011A_IND2 - Industry of local unit, workplace (NOGA 2-digit) Tanzania 2002 - see Variable: TZ2002A_IND - Industry last week Tanzania 2012 - see Variable: TZ2012A_IND - Industry Thailand 1970 - see Variable: TH1970A_IND - Principal industry last year Thailand 1980 - see Variable: TH1980A_IND - Principal industry last year Thailand 1990 - see Variable: TH1990A_IND3 - Principal industry last year, 3 digits Thailand 2000 - see Variable: TH2000A_IND3 - Industry last year, 3 digits Togo 1970 - see Variable: TG1970A_IND - Industry (1-digit) Togo 2010 - see Variable: TG2010A_IND3 - Industry (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_IND - Industry (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_IND - Industry Trinidad and Tobago 2000 - see Variable: TT2000A_IND - Industry (2 digits) Turkey 1985 - see Variable: TR1985A_INDALT - Industry (2-digit) Turkey 1990 - see Variable: TR1990A_IND2 - Industry (2 digits) Turkey 2000 - see Variable: TR2000A_IND2 - Industry, 2 digit Uganda 2002 - see Variable: UG2002A_IND - Industry United Kingdom 1961 - see Variable: UK1961A_IND - Industry United Kingdom 1971 - see Variable: UK1971A_IND - Industry United Kingdom 1991 - see Variable: UK1991A_IND - Industrial classification United Kingdom 2001 - see Variable: UK2001A_IND - Industry classification United States 1960 - see Variable: US1960A_IND - Industry United States 1970 - see Variable: US1970A_IND - Industry United States 1980 - see Variable: US1980A_IND - Industry United States 1990 - see Variable: US1990A_IND - Industry United States 2000 - see Variable: US2000A_IND - Industry United States 2005 - see Variable: US2005A_IND - Industry United States 2010 - see Variable: US2010A_IND - Industry United States 2015 - see Variable: US2015A_IND - Industry United States 2020 - see Variable: US2020A_IND - Industry Uruguay 1963 - see Variable: UY1963A_IND2 - Primary industry [2-digit] Uruguay 1985 - see Variable: UY1985A_IND - Industry during the past week Uruguay 1996 - see Variable: UY1996A_IND2 - Industry (ISIC 3, 2 digits) Uruguay 2006 - see Variable: UY2006A_IND3 - Industry (ISIC rev 3, 3 digits) Venezuela 1981 - see Variable: VE1981A_IND - Industry Venezuela 1990 - see Variable: VE1990A_IND - Industry Venezuela 2001 - see Variable: VE2001A_IND - Industry Vietnam 1989 - see Variable: VN1989A_IND2 - Industry, 2 digits Vietnam 1999 - see Variable: VN1999A_IND3 - Industry, 3 digit Vietnam 2009 - see Variable: VN2009A_IND - Industry Vietnam 2019 - see Variable: VN2019A_IND3 - Industry, 3 digit Zambia 1990 - see Variable: ZM1990A_IND - Industry Zambia 2000 - see Variable: ZM2000A_IND - Type of industry, 3 digits Zambia 2010 - see Variable: ZM2010A_IND2 - Industry, 3 digits Work Variables -- PERSON Status in employment (class of worker) [general version] CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. 0 NIU (not in universe) 1 Self-employed 2 Wage/salary worker 3 Unpaid worker 4 Other 9 Unknown/missing Work Variables -- PERSON Status in employment (class of worker) [detailed version] CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. 000 NIU (not in universe) 100 Self-employed 101 Self-employed, unincorporated 102 Self-employed, incorporated 110 Employer 111 Sharecropper, employer 120 Working on own account 121 Own account, agriculture 122 Domestic worker, self-employed 123 Subsistence worker, own consumption 124 Own account, other 125 Own account, without temporary/unpaid help 126 Own account, with temporary/unpaid help 130 Member of cooperative 140 Sharecropper 141 Sharecropper, self-employed 142 Sharecropper, employee 150 Kibbutz member 199 Self-employed, not specified 200 Wage/salary worker 201 Management 202 Non-management 203 White collar (non-manual) 204 Blue collar (manual) 205 White or blue collar 206 Day laborer 207 Employee, with a permanent job 208 Employee, occasional, temporary, contract 209 Employee without legal contract 210 Wage/salary worker, private employer 211 Apprentice 212 Religious worker 213 Wage/salary worker, non-profit, NGO 214 White collar, private 215 Blue collar, private 216 Paid family worker 217 Cooperative employee 220 Wage/salary worker, government or public sector 221 Federal, government employee 222 State government employee 223 Local government employee 224 White collar, public 225 Blue collar, public 226 Public companies 227 Civil servants, local collectives 230 Domestic worker (work for private household) 240 Seasonal migrant 241 Seasonal migrant, no broker 242 Seasonal migrant, uses broker 250 Other wage and salary 251 Canal zone/commission employee 252 Government employment/training program 253 Mixed state/private enterprise/parastatal 254 Government public work program 255 State enterprise employee 256 Coordinated and continuous collaboration job 300 Unpaid worker 310 Unpaid family worker 320 Apprentice, unpaid or unspecified 330 Trainee 340 Apprentice or trainee 350 Works for others without wage 400 Other 999 Unknown/missing Work Variables -- PERSON 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 Sex <span class="em">All persons </span>[Applies to questions 1-5]</p> <p>2. Sex. Tell me whether the enumerated person is a male or a female.</p> <div class="i1">[] 1 Male<br />[] 2 Female</div> <span class="em">11.5.1 Personal characteristics.</span> The first five questions dealing with personal characteristics are presented to persons of all ages, from newborns to the very oldest persons. The last question, relating to de facto conjugal status, is only presented to those 15 years of age and older.</p> <div class="i1"><span class="em">b) Question 2. Sex.</span> The gender of the person should always be requested instead of being guided by the names only since some names are used for both males and females.</div> Dominican Republic 1970: All persons [discrepancies: none] This variable reports the sex (gender) of the respondent. 1 Male 2 Female Demographic Variables -- PERSON Age <span class="em">All persons </span>[Applies to questions 1-5]</p> <p>3. Age. How old in years completed is the enumerated person? If under 1 year, how old in months is the enumerated person?</p> <div class="i1">Give this information in numbers.<br />____ Years completed<br />____ Months</div> <span class="em">11.5.1 Personal characteristics.</span> The first five questions dealing with personal characteristics are presented to persons of all ages, from newborns to the very oldest persons. The last question, relating to de facto conjugal status, is only presented to those 15 years of age and older.</p> <p><span class="em">c) Question 3. Age. The age in years completed or in complete years </span>is recorded for each enumerated person. The number of months completed is only requested if the enumerated person is younger than one year of age. The annotations should be made using numbers and not words.</p> <p>Some informants cannot give an exact age or have doubts about their age but they remember, however, that the birth of the enumerated person is related to an important national or regional historical event. In these cases, the list of events given below can be used and the corresponding ages recorded:</p> <p>Event: During the "Moya" revolution <br />Approximate age in years: 83</p> <p>Event: When Lilís died <br />Approximate age in years: 70</p> <p>Event: On the 23rd of March <br />Approximate age in years: 67</p> <p>Event: The fire of San Carlos <br />Approximate age in years: 67</p> <p>Event: The time of "the comet" <br />Approximate age in years: 60</p> <p>Event: During the Los Quiquises War <br />Approximate age in years:57</p> <p>Event: During Cambelén <br />Approximate age in years: 54</p> <p>Event: When the Americans came <br />Approximate age in years: 53</p> <p>Event: During the influenza [outbreak] <br />Approximate age in years: 51 </p> <p>Event: During the smallpox [outbreak] <br />Approximate age in years: 48</p> <p>Event: At the time of the coronation of the Virgin <br />Approximate age in years: 48 </p> <p>Event: During San Zenón <br />Approximate age in years: 39</p> <p>Event: During the Centennial <br />Approximate age in years: 26</p> <p>Event: At the time of the earthquake <br />Approximate age in years: 24</p> <p>Event: At the time of the Constanza, Maimón, and Estero Hondo Invasion <br />Approximate age in years: 11</p> <p>Event: When Trujillo fell [from power] <br />Approximate age in years: 9</p> <p>Event: At the time of Palma Sola massacre <br />Approximate age in years: 8</p> <p>Event: The 27th of February encampment explosion <br />Approximate age in years: 6</p> <p>Event: The April Revolution <br />Approximate age in years: 5</p> <p>Event: At the time of Hurricane Flora that damaged the South <br />Approximate age in years: 4</p> <p>Event: At the time of Hurricane Inés that damaged Barahona and Enriquillo <br />Approximate age in years: no age given</p> <p>Event: When Balaguer was taken <br />Approximate age in years: 4 Dominican Republic 1970: All persons [discrepancies: none] This variable gives age in complete years as of the person's last birthday prior to or on the day of enumeration. 00 Less than 1 year 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90+ Demographic Variables -- PERSON Relationship to head of household <span class="em">All persons </span>[Applies to questions 1-5]</p> <p>4. Relationship to the head of the household. What is the relationship of the enumerated person to the head of the household?</p> <div class="i1">[] 1 Head [male]<br />[] 2 Wife <br />[] 3 Partner <br />[] 4 Child<br />[] 5 Spouse of child<br />[] 6 Partner of child<br />[] 7 Other relative<br />[] 8 Domestic servant<br />[] 9 Not related</div> <span class="em">11.5.1 Personal characteristics.</span> The first five questions dealing with personal characteristics are presented to persons of all ages, from newborns to the very oldest persons. The last question, relating to de facto conjugal status, is only presented to those 15 years of age and older.</p> <div class="i1"><span class="em">d) Question 4. Relationship to the head of household.</span> It is pointed out again that the assessment of relationship should be based on the relation of each enumerated person</div><span class="pg">p. 16</span><div class="i1">to the head of household. <span class="em">Spouse</span> is understood to be the wife or the woman legally married to the enumerated person. A <span class="em">companion</span> is the woman who lives conjugally with the enumerated person without being married to him, whichever the marital status. "Other relationship" is marked for any other relative of the head of household. "Non-relative" is marked for any other household member that is not linked to the head by a blood relationship; such as friends or guests, etc.</div> Dominican Republic 1970: All persons [discrepancies: none] This variable describes the relationship of the individual to the head of the household. 01 Head of household 02 Spouse 03 Partner 04 Child 05 Spouse of child 06 Partner of child 07 Other relative 08 Servant 09 Not related 99 Unknown Demographic Variables -- PERSON Legal marital status <span class="em">All persons </span>[Applies to questions 1-5]</p> <p>5. Legal marital status. What is the legal civil marital status of the enumerated person?</p> <div class="i1">[] 1 Single (never married)<br />[] 2 Married<br />[] 3 Widowed<br />[] 4 Divorced<br />[] 5 Legally separated <br />[] 6 Annulled</div> <span class="em">11.5.1 Personal characteristics.</span> The first five questions dealing with personal characteristics are presented to persons of all ages, from newborns to the very oldest persons. The last question, relating to de facto conjugal status, is only presented to those 15 years of age and older.</p> <div class="i1"><span class="em">e) Question 5. Legal marital status.</span> On the census form, the <span class="em">legal marital status </span>or the <span class="em">de facto conjugal status</span> is requested separately of all enumerated persons. Question 5 refers exclusively to the <span class="em">legal</span> marital status of the enumerated person. In order to avoid confusion, each of the states appearing on the census form are defined below: i) <span class="em">unmarried</span>: one who has never been married; ii) <span class="em">married:</span> one who has entered into a valid and lawful marriage and who maintains that status at the time of the census. Included in this group are those <span class="em">persons in de facto separation</span> because this circumstance does not affect the validity of their marriage. A de facto separation is one that takes place through the initiative or agreement of both parties, without legal intervention. iii) <span class="em">widowed:</span> a married person whose spouse had passed away by the time of the census and who has not remarried. iv) <span class="em">divorced:</span> a person who has obtained a legal separation from his/her spouse and who is legally authorized to remarry. v) <span class="em">legally separated:</span> a married person who lives separated from his spouse due to a legal judgment and who cannot remarry. This definition excludes those in a de facto separation. vi) <span class="em">annulled:</span> a person whose marriage was declared null or invalid by a legal judgment.</div> Dominican Republic 1970: All persons [discrepancies: none] This variable describes the person's legal marital status at the time of enumeration. 1 Single, never married 2 Married 3 Widowed 4 Divorced 5 Legally separated 6 Annulled 9 Unknown Demographic Variables -- PERSON Consensual union <span class="em">Persons 15 years of age and older </span> [Applies to question 6.]</p> <p>6. De facto conjugal status. Does the enumerated person live in a consensual union with any person? Of how many years? duration is the union?</p> <div class="i1">Lives in a consensual union:</div><div class="i2">[] 1 Yes</div><div class="i3">____ Duration of the union in years</div><div class="i2">[] 2 No</div> <span class="em">11.5.1 Personal characteristics.</span> The first five questions dealing with personal characteristics are presented to persons of all ages, from newborns to the very oldest persons. The last question, relating to de facto conjugal status, is only presented to those 15 years of age and older.</p> <div class="i1"><span class="em">f) Question 6. De facto conjugal status.</span> Independent of the information obtained on the legal marital status; that is, irrespective of the marital status declared [in the previous question], it should be asked if any of the enumerated persons live in a consensual union with another person. This question should be asked in a discreet manner so as not to offend the informant. If, and only if, the answer is affirmative, the duration of the union is requested, in completed years. For example, a person who declared, for the legal marital status, to be married or widowed may or may not be living in a consensual union with another person in the same way an unmarried person would. Therefore, it is established that the answers received concerning the legal marital status and the de facto conjugal status are independent from each other.</div> Dominican Republic 1970: Persons age 15+ [discrepancies: type I 4.8%; type II 8.9%] This variable indicates whether the respondent was in a consensual union with another person at the time of enumeration. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Demographic Variables -- PERSON Duration of consensual union in years <span class="em">Persons 15 years of age and older </span> [Applies to question 6.]</p> <p>6. De facto conjugal status. Does the enumerated person live in a consensual union with any person? Of how many years? duration is the union?</p> <div class="i1">Lives in a consensual union:</div><div class="i2">[] 1 Yes</div><div class="i3">____ Duration of the union in years</div><div class="i2">[] 2 No</div> <span class="em">11.5.1 Personal characteristics.</span> The first five questions dealing with personal characteristics are presented to persons of all ages, from newborns to the very oldest persons. The last question, relating to de facto conjugal status, is only presented to those 15 years of age and older.</p> <div class="i1"><span class="em">f) Question 6. De facto conjugal status.</span> Independent of the information obtained on the legal marital status; that is, irrespective of the marital status declared [in the previous question], it should be asked if any of the enumerated persons live in a consensual union with another person. This question should be asked in a discreet manner so as not to offend the informant. If, and only if, the answer is affirmative, the duration of the union is requested, in completed years. For example, a person who declared, for the legal marital status, to be married or widowed may or may not be living in a consensual union with another person in the same way an unmarried person would. Therefore, it is established that the answers received concerning the legal marital status and the de facto conjugal status are independent from each other.</div> Dominican Republic 1970: Persons age 15+ in a consensual union [discrepancies: type I none; type II 0.6%] This variable reports the duration of the respondent's current consensual union in years. 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+ 98 Unknown 99 NIU (not in universe) Demographic Variables -- PERSON Literacy <span class="em">Persons 5 years of age and older </span> [Applies to questions 7-10]</p> <p>7. Literacy. Is the enumerated person able to read and write?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> <span class="em">11.5.2. Educational characteristics. </span>Questions 7-10, referring to the enumerated person's educational characteristics, are presented to those 5 years of age and older.</p> <div class="i1"><span class="em">a) Question 7. Literacy.</span> In order to mark "1 X yes", it is necessary that the enumerated person know how to read and write. It is not sufficient that the person only know how to read or write.</div> Dominican Republic 1970: Persons age 5+ [discrepancies: none] This variable indicates whether or not the individual is capable of reading and writing. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Last education level attended <span class="em">Persons 5 years of age and older </span> [Applies to questions 7-10]</p> <p>8. Level of schooling. At what level were the last studies undertaken by the enumerated person? Vocational schooling (commercial, industrial, teacher-training, and in agricultural institutes) should be classified as "secondary."</p> <div class="i1">[] 1 None <br />[] 2 Pre school <br />[] 3 Primary<br />[] 4 Intermediate <br />[] 5 Secondary<br />[] 6 Higher <br />[] 7 Not specified</div> <span class="em">11.5.2. Educational characteristics. </span>Questions 7-10, referring to the enumerated person's educational characteristics, are presented to those 5 years of age and older.</p> <div class="i1"><span class="em">b) Question 8. Level of education.</span> The levels of education that exist in the country are found printed on the census form. In order to avoid erroneous answers from the informant, who might not know all of them [levels of education], the levels are read out loud. Whenever possible, the enumerator should also judge the veracity of the answers according to the level of sophistication of the interviewee or enumerated person if present. Vocational studies (commercial, industrial, and normal) or studies carried out in agricultural institutes are classified as "5 X Secondary".</div> Dominican Republic 1970: Persons age 5+ [discrepancies: none] This variable indicates the education level last attended by the respondent. 1 None 2 Preschool 3 Primary 4 Intermediate 5 Secondary or vocational 6 Higher 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Last year of education level completed <span class="em">Persons 5 years of age and older </span> [Applies to questions 7-10]</p> <p>9. Last grade completed. What was the highest grade completed by the enumerated person in the level indicated?</p> <div class="i1">[] 1 First<br />[] 2 Second<br />[] 3 Third<br />[] 4 Fourth<br />[] 5 Fifth <br />[] 6 Sixth<br />[] 7 Seventh<br />[] 8 Eighth</div> <span class="em">11.5.2. Educational characteristics. </span>Questions 7-10, referring to the enumerated person's educational characteristics, are presented to those 5 years of age and older.</p> <div class="i1"><span class="em">c) Question 9. Last year completed.</span> Once the level of education is determined, the highest grade completed in that level is requested. Note that <span class="em">the last grade studied is not marked; rather the last year actually completed is recorded.</span></div> Dominican Republic 1970: Persons age 5+ with primary or higher education level [discrepancies: type I none; type II 7.5%] This variable indicates the highest grade completed in the level of education reported by the respondent. 01 First 02 Second 03 Third 04 Fourth 05 Fifth 06 Sixth 07 Seventh 08 Eighth 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Educational attainment <span class="em">Persons 5 years of age and older </span> [Applies to questions 7-10]</p> <p>8. Level of schooling. At what level were the last studies undertaken by the enumerated person? Vocational schooling (commercial, industrial, teacher-training, and in agricultural institutes) should be classified as "secondary."</p> <div class="i1">[] 1 None <br />[] 2 Pre school <br />[] 3 Primary<br />[] 4 Intermediate <br />[] 5 Secondary<br />[] 6 Higher <br />[] 7 Not specified</div><p>9. Last grade completed. What was the highest grade completed by the enumerated person in the level indicated?</p> <div class="i1">[] 1 First<br />[] 2 Second<br />[] 3 Third<br />[] 4 Fourth<br />[] 5 Fifth <br />[] 6 Sixth<br />[] 7 Seventh<br />[] 8 Eighth</div> <span class="em">11.5.2. Educational characteristics. </span>Questions 7-10, referring to the enumerated person's educational characteristics, are presented to those 5 years of age and older.</p> <div class="i1"><span class="em">b) Question 8. Level of education.</span> The levels of education that exist in the country are found printed on the census form. In order to avoid erroneous answers from the informant, who might not know all of them [levels of education], the levels are read out loud. Whenever possible, the enumerator should also judge the veracity of the answers according to the level of sophistication of the interviewee or enumerated person if present. Vocational studies (commercial, industrial, and normal) or studies carried out in agricultural institutes are classified as "5 X Secondary".</div><div class="i1"><span class="em">c) Question 9. Last year completed.</span> Once the level of education is determined, the highest grade completed in that level is requested. Note that <span class="em">the last grade studied is not marked; rather the last year actually completed is recorded.</span></div> Dominican Republic 1970: Persons age 5+ [discrepancies: none] This variable indicates the highest year and level of education completed by the respondent. 10 None 20 Preschool 30 Primary, year unknown 31 Primary, year 1 32 Primary, year 2 33 Primary, year 3 34 Primary, year 4 35 Primary, year 5 36 Primary, year 6 40 Intermediate, year unknown 41 Intermediate, year 1 42 Intermediate, year 2 50 Secondary, year unknown 51 Secondary, year 1 52 Secondary, year 2 53 Secondary, year 3 54 Secondary, year 4 60 Superior, year unknown 61 Superior, year 1 62 Superior, year 2 63 Superior, year 3 64 Superior, year 4 65 Superior, year 5 66 Superior, year 6 67 Superior, year 7 68 Superior, year 8 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Currently attending school <span class="em">Persons 5 years of age and older </span> [Applies to questions 7-10]</p> <p>10. School attendance. Is the enumerated person currently enrolled? (Studying in any primary school, high school, or university?)</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> <span class="em">11.5.2. Educational characteristics. </span>Questions 7-10, referring to the enumerated person's educational characteristics, are presented to those 5 years of age and older.</p> <div class="i1"><span class="em">d) Question 10. School attendance.</span> In order to complete the educational information, it is necessary to find out if the enumerated person is registered and attending (studying) in any school, secondary school, or university. In order that the affirmative answer be marked, it is necessary to confirm that the enumerated person is registered and accepted as a student in any educational establishment.</div> Dominican Republic 1970: Persons age 5+ [discrepancies: type 1 none; type II 6.3%] This variable indicates whether the individual was registered and accepted as a student in any educational establishment at the time of enumeration. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Expansion factor 1 Dominican Republic 1970: All persons [discrepancies: none] This variable indicates the expansion factor for the respondent. This is a 2-digit numeric variable with 0 implied decimal places Technical Person Variables -- PERSON Nativity status <span class="em">All persons</span> [Applies to question 11.]</p> <p>11. Place of birth.</p> <div class="i1">a) If the enumerated person was born in the Dominican Republic, in which municipality or municipal district?</div><div class="i2">____ Name of the municipality or municipal district</div><div class="i1">b) If the enumerated person was born abroad, in which country?</div><div class="i2">____ Name of the country</div> <span class="em">11.5.3 Place of birth. </span>Questions 11a and 11b are directed towards persons of all ages, including newborns. It should first be found out if the person was born in the Dominican Republic or abroad. For those born in the country, only the name of the municipality or district of birth is recorded. For those born abroad, only the name of the birth country is recorded. Dominican Republic 1970: All persons [discrepancies: none] This variable indicates whether the person was native or foreign born. 1 Native born 2 Foreign born 9 Unknown Nativity and Birthplace Variables -- PERSON Economic activity <span class="em">Persons 10 years of age and older </span>[Applies to questions 12-16]</p> <p>12. Occupation condition [economic activity] of the enumerated person. What was the occupational condition of the enumerated person between the 1st and the 9th of this January, according to the options I am going to read to you? <br />(Read the list to the right)</p> <div class="i1">[] 1 Employed (had paid work of any kind)<br />[] 2 Unemployed<br />[] 3 Seeking first job<br />[] 4 Household duties<br />[] 5 Student<br />[] 6 Renter<br />[] 7 Retired or receiving pension<br />[] 8 Disabled or institutionalized<br />[] 9 Other (specify) ____</div> <span class="em">11.5.4 Economic characteristics. </span>Questions 12-16 are presented only to those 10 years of age and older. It is also pointed out that questions 13-16 are only presented to those who were classified in either of the first two groups of question 12: "employed" or "unemployed".</p> <div class="i1"><span class="em">a) Question 12. Economic activity of the enumerated person.</span> For this question, the "census moment" is the period of January 1-9, 1970; that is, the employment status of the enumerated person during this period is requested. In order to obtain a correct answer, it is strictly necessary that all of the classification found in the census form opposite the question be read to the enumerated person. Each of the alternatives is explained below: <br /><br />[The following paragraph has been broken into smaller paragraphs.]</div><div class="i2"><span class="em">i) Had work of any kind (with pay or earnings). </span>Those who were occupied (or who had an occupation) from January 1-9</div><span class="pg">p. 17] </span><div class="i2">are classified into this group. One who is <span class="em">occupied</span> worked for pay, salary, or any other type of remuneration during the indicated time period. Also included in this group are those who are employed or have work but who are temporarily absent because of an illness, accident, labor conflict, vacation, leave, etc.</div><div class="i2"><span class="em">ii) Without work (unemployed). </span>This category includes those who did not have a paid occupation or job from January 1-9 but who had been previously employed and who are looking for work. Also included are those who are not looking for work because they have found employment that will start after January 9</div><div class="i2"><span class="em">iii) Looked for work for the first time.</span> This includes those who have never worked before and who had been looking for their first employment between January 1-9.</div><div class="i2"><span class="em">iv) Household duties.</span> This refers to those who carry out household duties, without remuneration, in their own homes. Also included are those who, besides their household duties, carry out a paid activity during a period of time less than one-third of the normal working day [less than 1/3 time]. For the purposes of the census (only for the purposes of the census), the <span class="em">normal working day</span> is understood to be nine hours per day. Therefore, a person who carries out domestic duties and also a remunerated activity can be classified in this group if the activity is carried out for less than three hours per day.</div><div class="i2"><span class="em">v) Student.</span> This comprises all those who are exclusively dedicated to studying and those who, besides studying, carry out a paid activity during a period of time less than one-third of the normal working day [less than 1/3 time].</div><div class="i2"><span class="em">vi) Rentier.</span> Included in this category are those who do not carry out a remunerated activity and who live from the product of their capital; such as interest, dividends, or income coming from stocks, bonds, houses, or other real estate properties.</div><div class="i2"><span class="em">vii) Retired or pensioned.</span> This includes those, usually of an advanced age, who do not carry out a paid activity and who receive a periodic income, normally called a retirement or pension, because they had been previously employed. Included in this category are those who receive a "pensión de gracia" [#tr probably a welfare check]. Those pensioned or retired persons carrying out a remunerated activity for less than one-third of the normal laboral working day, they are placed in this category.</div><div class="i2"><span class="em">viii) Invalid or prisoner or recluse.</span> This includes those who cannot carry out a paid activity because of a physical or mental disability or because of adopting a cloistered life (as is the case for certain religious orders) or because of a judicial sentence (prisoners). If the disability is temporary or accidental and the occupation is guaranteed or reserved, they are classified in the first group "1 X Had work of any king (with pay or earnings)".</div><div class="i2"><span class="em">ix) Other.</span> Included in this group are all those whose situations cannot be fit into the previous classifications; e.g. minors who do not attend school, elderly with no economic resources, prisoners who carry out a paid activity for more than three hours per day, etc.</div> Dominican Republic 1970: Persons age 10+ [discrepancies: type I none; type II 2.5%] This variable identifies the type of economic activity of the individual during the reference period: January 1st to January 9th, 1970. 01 Employed 02 Unemployed 03 Seeking first job 04 Household duties 05 Student 06 Rentier 07 Retired or receiving pension 08 Disabled or institutionalized 09 Other 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Current occupation, 3 digits <span class="em">Ask questions 13-16 only of those who answered 1 or 2 in question 12.</span></p> <p>13. Occupation. What was your occupation between the 1st and the 9th of this January? Examples: Agricultural worker, primary school teacher, <span class="lang">concho</span> driver. For those currently unemployed, write the most recent occupation. </p> <div class="i1">____ Occupation</div> <span class="em">11.5.4 Economic characteristics. </span>Questions 12-16 are presented only to those 10 years of age and older. It is also pointed out that questions 13-16 are only presented to those who were classified in either of the first two groups of question 12: "employed" or "unemployed".</p> <div class="i1"><span class="em">b) Question 13. Occupation of the enumerated person.</span> The occupation held by each enumerated person between January 1-9 is investigated and recorded in the most precise manner possible. Therefore, for example, it is not sufficient to record a person's occupation as "professor", rather "elementary school teacher", "secondary education teacher", or "university professor". In other words, it is necessary to define each occupation in the most precise possible way. For those who are "unemployed"; that is, those without a current occupation, the last job held is recorded.</div> Dominican Republic 1970: Persons age 10+ who were employed or unemployed at the time of enumeration [discrepancies: type I 9.5%; type II trace] This variable indicates the individual's occupation (3 digits) during the reference period: January 1st to January 9th, 1970. For those who were unemployed during the reference period, the last occupation held was recorded. 0000 Architects 0001 Architect engineers 0002 Civil engineers 0003 Agricultural engineers 0005 Engineers not elsewhere classified 0006 Engineering technicians not elsewhere classified 0008 Topographers, surveyors, and draughtsmen 0010 Chemists 0011 Physicists, meteorologists, astronomers, geologists, and related geophysical sciences professionals 0012 Pharmacists 0019 Laboratory technicians 0020 Agronomists and phytopathologists 0027 Biologists, veterinarians, and other specialists in related sciences 0030 Physicians and surgeons 0031 Dentists 0033 Other physicians, surgeons and dentists not elsewhere classified 0040 Optometrists and opticians 0044 X-ray operators and radiological technicians 0045 Nutritionists 0047 Podiatrists, massage therapists, and other paramedical occupations not elsewhere classified 0050 Nurses, professional 0051 Nurses, other 0052 Midwives, professional 0059 Other nurses and midwives not elsewhere classified 0060 Teachers, university 0061 Teachers, high school and technical school 0062 Teachers, primary school 0065 Teachers not elsewhere classified 0070 Mathematicians 0071 Actuaries 0075 Other math sciences professionals not elsewhere classified 0076 Other social science professionals not elsewhere classified 0080 Lawyers 0089 Judges, justices of the peace, notaries, public record keepers, and related legal occupations 0090 Authors, editors, journalists, columnists, reporters, broadcasters, and related occupations 0092 Painters, sculptors, engravers, cartoonists, calligraphers and related artists 0094 Composers, musicians, singers, music teachers, choir directors, and related occupations 0098 Other artists not elsewhere classified 0100 Employees and inspectors of national or regional government 0102 Employees and inspectors of local governments 0109 Other government administrators and officials not elsewhere classified 0110 Directors and managers, wholesale and retail trade 0122 Contractors, construction 0123 Directors and managers, finance, insurance and real estate 0126 Directors, managers and administrators, factories 0128 Other directors, managers, and administrators not elsewhere classified 0200 Accountants 0201 Expert accountants 0209 Other accountants not elsewhere classified 0210 Assistant accountants, bookkeepers, cashiers, debt collectors and related occupations not elsewhere classified 0220 Typists 0232 Other office machine operators not elsewhere classified 0240 Transport and communication inspectors, dispatchers and controllers 0251 Messengers 0253 Mail carriers, messengers, and related occupations not elsewhere classified 0262 Operators of radio equipment 0263 Telephone and telegraph operators 0271 Ticket collectors, buses, trains, trams, and other modes of transport 0280 Stockists and suppliers of office equipment 0283 Bank and financial services clerks 0284 Library and archive clerks 0285 Theater, lottery, and other ticket clerks 0286 Other office clerks and related occupations not elsewhere classified 0300 Working proprietors, wholesale trade 0301 Working proprietors, retail trade 0310 Salesmen and shop assistants 0312 Street vendors, canvassers, and peddlers 0323 Commerical travelers and manufacturers' agents 0333 Auctioneers 0334 Commission agents 0335 Customs, transportation, moving, and tourism services agents 0336 Advertising agents 0337 Other sales occupations not elsewhere classified 0400 Farmers, general 0401 Farmers, livestock 0410 Agricultural and livestock workers except unpaid family workers 0411 Unpaid family agricultural and livestock workers 0412 Operators of farm machinery and agricultural vehicles 0413 Gardeners, nursery and greenhouse workers, and groundskeepers 0414 Other agricultural and livestock workers and related occupations 0420 Fishermen, fishing boat crew, and fish farming occupations 0440 Loggers, rubber workers, and related workers not elsewhere classified 0500 Taxi drivers 0501 Van and truck drivers 0502 Bus and tram drivers 0503 Cart drivers and coachmen 0504 Drivers propelling their vehicles 0506 Other motor vehicle drivers not elsewhere classified 0510 Railway engineers 0511 Railway stokers 0520 Deck officers and pilots, ship 0523 Other sea and river navigation occupations not elsewhere classified 0530 Operators of transportation signal equipment 0604 Weavers working in factories 0606 Loom adjusters and loom preparers 0609 Other spinners, weavers, knitters, dyers, and related textiles workers 0610 Tailors in factories 0611 Tailors not in factories 0613 Dressmakers 0614 Seamstresses and embroiderers 0617 Leather and fabric upholsterers and related occupations 0619 Other tailors, dressmakers, sewers, upholsterers and related workers not elsewhere classified 0620 Shoemakers and shoe repairers 0621 Cutters, lasters, and other occupations related to the manufacture of footwear 0622 Harness and saddle makers and related occupations 0623 Other occupations related to production of leather products except footwear, gloves and clothing 0630 Carpenters and joiners 0631 Cabinetmakers 0632 Sawyers, planers, and other wood industry occupations 0633 Other artisans and woodworkers not elsewhere classified 0640 Bricklayers, stonemasons, and tile setters 0641 Plasterers and finishers, concrete and cement 0645 Other bricklayers, stonemasons, glass installers, and related workers not elsewhere classified 0650 Painters, construction and maintenance 0652 Other painters and related workers 0660 Plumbers and pipefitters 0662 Brass workers, tinsmiths, coppersmiths, and other sheet metal workers 0663 Hand, arc, and torch welders 0664 Other plumbing and metalworking occupations not elsewhere classified 0670 Electricians and electrical repairmen 0671 Installers and repairmen, telephone and telegraph 0672 Electrical repairmen, radio and television 0673 Electrical repairmen, refrigerators and other household appliances 0674 Electrical equipment installers 0675 Other electrical workers and related occupations 0680 Mechanics repairmen, motor vehicles 0683 Mechanics repairmen, agricultural and industrial machinery 0686 Operators of machine tools, lates, milling machines, grinders, planers, carvers, metal saws, and similar machinery 0689 Other mechanics, repairmen, and machine tool operators not elsewhere classified 0690 Watchmakers and clockmakers 0692 Denture technicians 0693 Other precision instrument technicians 0700 Typographers and compositors 0702 Printing press operators 0706 Bookbinders and related workers 0707 Film developers 0709 Other graphic arts occupations not elsewhere classified 0710 Miners, quarry workers, and related occupations 0723 Blacksmiths, hammersmiths, and forgemen 0726 Other metal industry occupations not elsewhere classified 0730 Potters, kilnmen, glass and clay formers, and related workers 0740 Cookers, roasters, crushers, distillers, and other chemical industry workers 0750 Butchers, and slaughterhouse and meat refrigeration workers 0752 Millers and mill workers 0754 Bakers and pastry chefs 0755 Confectioners and workers in the manufacture of sweets, chocolate, and similar products 0757 Sugar industry workers 0759 Other food and beverage production and preservation workers not elsewhere classified 0761 Cigar and cigarette makers 0762 Tobacco manufacturing workers 0763 Other tobacco manufacturing workers not elsewhere classified 0770 Hide flesher, hair removers, tanners, and related occupations 0780 Workers in the manufacture of paper products 0790 Workers in manufacturing of machinery, electrical, and transportation equipment 0800 Mining and quarrying laborers 0810 Food and beverage production workers and laborers 0811 Textile production workers and laborers 0818 Manufacturing laborers not elsewhere classified 0820 Surveying and mapping technicians 0822 Construction and maintenance workers, buildings, bridges, roads, tunnels, dams, and related structures 0823 Other construction workers and laborers not elsewhere classified 0830 Utilities and communications workers and laborers 0840 Longshoremen, stevedores, and other dock workers 0845 Packers, labelers and related factory workers 0846 Other freight handling occupations not elsewhere classified 0850 Workers and laboreres not elsewhere classified 0900 Firefighters 0901 Policemen and detectives 0902 Other law enforcement officials 0903 Guards, watchmen, and related occupations 0910 Butlers, stewards, and related workers 0920 Domestic cooks 0921 Domestic maids 0929 Other domestic cooks, maids and servants not elsewhere classified 0930 Cooks 0931 Waiters in restaurants and cafes 0932 Bartenders 0934 Waiters, maids, and housekeepers in hotels, ships, and trains 0940 Launderers and pressers in dry cleaning establishments 0950 Private home launderers 0951 Self employed launderers 0960 Porters, doormen, caretakers, and security guards 0962 Handymen, cleaners, janitors and related workers 0963 Other building maintenance workers not elsewhere classified 0970 Barbers and hairdressers 0971 Beauticians, hair stylists, manicurists, and make up artists 0980 Athletes, sportsmen, and related workers 0990 Photographers, camera operators, and related occupations 1000 Priests and pastors 1001 Other members of religious orders 1020 Other professional, technical and related workers 1041 Crane and hoist operators 1049 Operators of construction machinery, stationary engines, and excavating and lifting equipment and related workers 1050 Operators of television and radio broadcasting equipment and sound and film projection equipment 1060 Manufacturing workers and related occupations not elsewhere classified 1070 Other services workers not elsewhere classified 9000 Members of the armed forces 9500 Seeking first job 9998 Unknown 9999 NIU (not in universe) Work: Occupation Variables -- PERSON Industry, 3 digits <span class="em">Ask questions 13-16 only of those who answered 1 or 2 in question 12.</span></p> <p>14. Industry. In what activity does the business, industry, office or farm where the enumerated person works engage? (Examples: agricultural enterprise, sugar production). For those unemployed, write the type of industry of the business, etc. where last employed. </p> <div class="i1">____ Activity of the business, industry, etc.</div> <span class="em">11.5.4 Economic characteristics. </span>Questions 12-16 are presented only to those 10 years of age and older. It is also pointed out that questions 13-16 are only presented to those who were classified in either of the first two groups of question 12: "employed" or "unemployed".</p> <div class="i1"><span class="em">c) Question 14. Industry.</span> Along with the occupation, it is necessary to establish and record the type of activity or industry practiced by the establishment, business, industry, office, or farm where the enumerated person works. As in the previous category, it is necessary to define the "industry" of these establishments in the most precise manner possible. Other examples, besides those mentioned on the census form, would be: livestock farm [ranch], doors and windows industry, metallurgic industry, vehicle sales and repair, etc.</div> Dominican Republic 1970: Persons age 10+ who were employed or unemployed at the time of enumeration [discrepancies: type I 2.1%; type II 10.3%] This variable refers to the activity of the establishment or sector in which a person worked during the reference period: January 1st to January 9th, 1970. The three-digit groupings conform to the second revision of the International Standard Industrial Classification of All Economic Activities (ISIC) issued in 1968. 111 Agriculture and livestock production 112 Agricultural services 120 Forestry and logging 130 Fishing 220 Crude petroleum and natural gas production 230 Metal ore mining 290 Other mining 310 Manufacture of food, beverages and tobacco 311 Food manufacturing 313 Beverage industries 314 Tobacco manufactures 321 Manufacture of textiles 322 Manufacture of wearing apparel, except footwear 323 Manufacture of leather and products of leather, leather substitutes and fur, except footwear and wearing apparel 331 Manufacture of footwear, except vulcanized or molded rubber or plastic footwear 332 Manufacture of wood and wood and cork products, except furniture 334 Manufacture of furniture and fixtures, except primarily of metal 341 Manufacture of paper and paper products 342 Printing, publishing and allied industries 351 Manufacture of industrial chemicals 352 Manufacture of other chemical products 355 Manufacture of rubber products 359 Other manufacture of chemicals and chemical, petroleum, coal, rubber, and plastic products 360 Manufacture of non-metallic mineral products, except products of petroleum and coal 371 Iron and steel industries 372 Non-ferrous metal industries 381 Manufacture of fabricated metal products, except machinery and equipment 383 Manufacture of electrical machinery, apparatus, appliances, and supplies 385 Manufacture of professional and scientific equipment, measuring and control instruments, and optical and photographic instruments 389 Manufacture of other fabricated metal products, machinery and equipment 390 Other manufacturing industries 410 Electricity, gas and steam 420 Water works and supply 500 Construction 610 Wholesale trade 620 Retail trade 631 Restaurants, cafes, and other eating and drinking establishments 632 Hotels, rooming houses, camps and other lodging places 711 Land transport 712 Water transport 713 Air transport 719 Services allied to transport 720 Communication 810 Financial Institutions 820 Insurance 830 Real estate and business services except machinery and equipment rental and leasing 910 Public administration and defense 920 Sanitary and similar services 931 Education services 932 Research and scientific institutes 933 Medical, dental, other health and veterinary services 934 Welfare institutions 935 Business, professional and labor associations 939 Other social and related community services 941 Motion picture and other entertainment services 949 Entertainment and recreational services not elsewhere classified 951 Repair services not elsewhere classified 952 Laundries, laundry services, and cleaning and dyeing plants 953 Domestic services 959 Miscellaneous personal services 960 International and other extraterritorial bodies 998 Unknown 999 NIU (not in universe) Work: Industry Variables -- PERSON Class of worker <span class="em">Ask questions 13-16 only of those who answered 1 or 2 in question 12.</span></p> <p>15. Occupational category. What is the category of the enumerated person within the occupation, according to the list that I am going to read to you? For the enumerated person without work (unemployed), write the category corresponding to the most recent occupation. </p> <div class="i1">[] 1 Employer (boss/owner)<br />[] 2 Self employed<br />[] 3 Salaried or waged employee (including domestic servants and paid family workers)<br />[] 4 Unpaid family worker</div> <span class="em">11.5.4 Economic characteristics. </span>Questions 12-16 are presented only to those 10 years of age and older. It is also pointed out that questions 13-16 are only presented to those who were classified in either of the first two groups of question 12: "employed" or "unemployed".</p> <div class="i1"><span class="em">d) Question 15. Employment status. </span>Within each occupation there are various categories or positions. This question attempts to find out which of these is held by the enumerated person. This is the information that allows this question to be answered. In order to obtain a correct response, it is indispensable that the four categories found in the census form be read to the informant. These categories are defined below: i) <span class="em">Employer (owner).</span> This is the person who directs his own economic enterprise or who carries out a profession or trade by and for himself and who has one or more employees or workers who receive a salary or wage. This excludes domestic employees.; ii) <span class="em">Own-account worker.</span> This is the person who operates his own economic enterprise or who carries out a profession or trade by and for himself and who does not have any employees or workers receiving a salary or wage.; iii) <span class="em">Employee with a salary or wage (including domestic employees and paid family workers).</span> This category includes, therefore, three groups: employees, paid family workers, and domestic employees. An <span class="em">employee</span> is a person who works for a public or private employer (owner) and who receives remuneration in the form of salary, wage, tips, commissions, pay for piecework (for units of work), or pay in-kind. It does not matter, therefore, if the work is predominantly intellectual or physical in nature, or vice versa. A <span class="em">paid family worker</span> is a person who works for pay or earnings, for less than three hours per day, in an economic enterprise operated by a relative, only if they live in the same household. A <span class="em">Domestic employee</span> is a person who works for a public or private employer (owner) and who carries out activities related to household service (servant, butler, cook, doorman, nanny, washerwoman, etc.) and who receives a basic remuneration in the form of a salary and normally some additional perks (housing, food, etc.).;</div><span class="pg">p. 18</span><div class="i1">iv) <span class="em">Unpaid family worker.</span> This is a person who works, without pay or earnings, in an economic enterprise operated by a relative for at least three hours per day; only if they live in the same household.</div> Dominican Republic 1970: Persons age 10+ who were employed or unemployed at the time of enumeration [discrepancies: type I 9.7%; type II 7.9%] This variable refers to the status of an employed person with respect to his or her employment during the reference period: January 1st to January 9th, 1970. The variable indicates whether a person was an employer, was self-employed, or worked for someone else, either for pay or as an unpaid family worker. 1 Employer 2 Self-employed 3 Waged or salaried employee 4 Unpaid family worker 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Usual occupation, 3 digits <span class="em">Ask questions 13-16 only of those who answered 1 or 2 in question 12.</span></p> <p>16. Habitual occupation. What was the habitual occupation of the enumerated person (the one of longest duration) during the last year?</p> <div class="i1">____ Habitual occupation during the last year</div> <span class="em">11.5.4 Economic characteristics. </span>Questions 12-16 are presented only to those 10 years of age and older. It is also pointed out that questions 13-16 are only presented to those who were classified in either of the first two groups of question 12: "employed" or "unemployed".</p> <div class="i1"><span class="em">e) Question 16. Usual occupation.</span> In developing countries, where specialized work is not the rule, workers frequently change occupations. Because of this, this question refers to the normal occupation carried out by the enumerated person during the last year. <span class="em">Normal occupation </span>is understood to be the occupation held for the longest period of time during the year previous to the census; that is, during 1969.</div> Dominican Republic 1970: Persons age 10+ who were employed or unemployed at the time of enumeration [discrepancies: type I 9.5%; type II trace] This variable indicates the individual's normal or usual occupation (3 digits): the occupation held for the longest period of time during the year previous to the census, 1969. 0000 Architects 0003 Civil engineers 0004 Agricultural engineers 0005 Engineers not elsewhere classified 0006 Engineering technicians not elsewhere classified 0008 Topographers, surveyors, and draughtsmen 0010 Chemists 0011 Physicists, meteorologists, astronomers, geologists, and related geophysical sciences professionals 0012 Pharmacists 0013 Biological laboratory technicians 0020 Agronomists and psychopathologists 0021 Veterinarians 0027 Biologists, veterinarians, and other specialists in related sciences 0030 Physicians and surgeons 0031 Dentists 0033 Other physicians, surgeons and dentists not elsewhere classified 0040 Optometrists and opticians 0044 X-ray operators and radiological technicians 0045 Nutritionists 0047 Podiatrists, massage therapists, and other paramedical occupations not elsewhere classified 0050 Nurses, professional 0051 Nurses, other 0052 Midwives, professional 0059 Other nurses and midwives not elsewhere classified 0060 Teachers, university 0061 Teachers, high school and technical school 0062 Teachers, primary school 0065 Teachers not elsewhere classified 0070 Mathematicians 0071 Actuaries 0075 Other math sciences professionals not elsewhere classified 0076 Other social science professionals not elsewhere classified 0080 Lawyers 0089 Judges, justices of the peace, notaries, public record keepers, and related legal occupations 0090 Authors, editors, journalists, columnists, reporters, broadcasters, and related occupations 0092 Painters, sculptors, engravers, cartoonists, calligraphers and related artists 0094 Composers, musicians, singers, music teachers, choir directors, and related occupations 0098 Other artists not elsewhere classified 0100 Employees and inspectors of national or regional government 0102 Employees and inspectors of local governments 0109 Other government administrators and officials not elsewhere classified 0110 Directors and managers, wholesale and retail trade 0126 Directors, managers and administrators, factories 0128 Other directors, managers, and administrators not elsewhere classified 0200 Accountants 0201 Expert accountants 0209 Other accountants not elsewhere classified 0210 Assistant accountants, bookkeepers, cashiers, debt collectors and related occupations not elsewhere classified 0220 Stenographers and typists 0232 Other office machine operators not elsewhere classified 0240 Transport and communication inspectors, dispatchers and controllers 0251 Messengers 0253 Mail carriers, messengers, and related occupations not elsewhere classified 0262 Operators of radio equipment 0263 Telephone and telegraph operators 0270 Transport and communications occupations not elsewhere classified 0280 Stockists and suppliers of office equipment 0283 Bank and financial services clerks 0284 Library and archive clerks 0285 Theater, lottery, and other ticket clerks 0286 Other office clerks and related occupations not elsewhere classified 0300 Working proprietors, wholesale and retail trade 0310 Salesmen and shop assistants 0312 Street vendors, canvassers, and peddlers 0320 Commercial travelers and manufacturers' agents 0332 Stocks and bonds agents and brokers 0333 Auctioneers 0334 Commission agents 0335 Customs, transportation, moving, and tourism services agents 0336 Advertising agents 0337 Other sales occupations not elsewhere classified 0400 Farmers, general 0401 Farmers, livestock 0410 Agricultural and livestock workers except unpaid family workers 0411 Unpaid family agricultural and livestock workers 0412 Operators of farm machinery and agricultural vehicles 0413 Gardeners, nursery and greenhouse workers, and groundskeepers 0414 Other agricultural and livestock workers and related occupations 0420 Fishermen, fishing boat crew, and fish farming occupations 0430 Hunters and trappers 0440 Loggers, rubber workers, and related workers not elsewhere classified 0500 Taxi drivers 0501 Van and truck drivers 0502 Bus and tram drivers 0503 Cart drivers and coachmen 0504 Drivers propelling their vehicles 0506 Other motor vehicle driver not elsewhere classified 0510 Railway engineers and stokers 0520 Deck officers and pilots, ship 0523 Other sea and river navigation occupations not elsewhere classified 0530 Operators of transportation signal equipment 0604 Weavers working in factories 0606 Loom adjusters and loom preparers 0609 Other spinners, weavers, knitters, dyers, and related textiles workers 0610 Tailors in factories 0611 Tailors not in factories 0612 Furriers and skinners 0613 Dressmakers 0614 Seamstresses and embroiderers 0617 Leather and fabric upholsterers and related occupations 0619 Other tailors, dressmakers, sewers, upholsterers and related workers not elsewhere classified 0620 Shoemakers and shoe repairers 0621 Cutters, lasters, and other occupations related to the manufacture of footwear 0622 Harness and saddle makers and related occupations 0623 Other occupations related to production of leather products except footwear, gloves and clothing 0630 Carpenters and joiners 0631 Cabinetmakers 0633 Other artisans and woodworkers not elsewhere classified 0640 Bricklayers, stonemasons, and tile setters 0641 Plasterers and finishers, concrete and cement 0645 Other bricklayers, stonemasons, glaziers, and related workers not elsewhere classified 0650 Painters, construction and maintenance 0652 Other painters and related workers 0660 Plumbers and pipefitters 0662 Brass workers, tinsmiths, coppersmiths, and other sheet metal workers 0663 Hand, arc, and torch welders 0664 Other plumbing and metalworking occupations not elsewhere classified 0670 Electricians and electrical repairmen 0671 Installers and repairmen, telephone and telegraph 0672 Electrical repairmen, radio and television 0673 Electrical repairmen, refrigerators and other household appliances 0675 Other electrical workers and related occupations 0680 Mechanics and repairmen, motor vehicles 0683 Mechanics and repairmen, agricultural and industrial machinery 0686 Operators of machine tools, lates, milling machines, grinders, planers, carvers, metal saws, and similar machinery 0689 Other mechanics, repairmen, and machine tool operators not elsewhere classified 0690 Watchmakers and clockmakers 0692 Denture technicians 0693 Other precision instrument technicians 0700 Typographers and compositors 0702 Printing press operators 0706 Bookbinders and related workers 0707 Film developers 0709 Other graphic arts occupations not elsewhere classified 0710 Miners, quarry workers, and related occupations 0723 Blacksmiths, hammersmiths, and forgemen 0726 Other metal industry occupations not elsewhere classified 0730 Potters, kilnmen, glass and clay formers, and related workers 0740 Cookers, roasters, crushers, distillers, and other chemical industry workers 0750 Butchers, and slaughterhouse and meat refrigeration workers 0753 Millers and mill workers 0754 Bakers and pastry chefs 0755 Confectioners and workers in the manufacture of sweets, chocolate, and similar products 0757 Sugar industry workers 0758 Selectors, mixers, and toasters of coffee, tea and cocoa 0759 Other food and beverage production and preservation workers not elsewhere classified 0762 Tobacco manufacturing workers 0763 Other tobacco industry workers not elsewhere classified 0770 Hide flesher, hair removers, tanners, and related occupations 0780 Workers in the manufacture of paper products 0790 Workers in manufacturing of machinery, electrical, and transportation equipment 0800 Mining and quarrying laborers 0810 Food and beverage production workers and laborers 0811 Textile production workers and laborers 0818 Manufacturing laborers not elsewhere classified 0820 Surveying and mapping technicians 0821 Construction and maintenance workers, buildings, bridges, roads, tunnels, dams, and related structures 0823 Other construction workers and laborers not elsewhere classified 0830 Utilities and communications workers and laborers 0840 Longshoremen, stevedores, and other dock workers 0845 Packers, labelers and related factory workers 0846 Other freight handling occupations not elsewhere classified 0850 Workers and laboreres not elsewhere classified 0900 Firefighters 0901 Policemen and detectives 0902 Other law enforcement officials 0903 Guards, watchmen, and related occupations 0910 Butlers, stewards, and related workers 0920 Domestic cooks 0921 Domestic maids 0929 Other domestic cooks, maids and servants not elsewhere classified 0930 Cooks 0931 Waiters and bartenders in bars, restaurants, and cafes 0934 Waiters, maids, and housekeepers in hotels, ships, and trains 0939 Other cooks, waiters, bartenders, and related workers not elsewhere classified 0940 Launderers and pressers in dry cleaning establishments 0950 Private home launderers 0951 Self employed launderers 0960 Porters, doormen, caretakers, and security guards 0962 Handymen, cleaners, janitors and related workers 0963 Other building maintenance workers not elsewhere classified 0970 Barbers and hairdressers 0971 Beauticians, hair stylists, manicurists, and make up artists 0980 Athletes, sportsmen, and related workers 0981 Referees, coaches, and fitness and sports instructors 0990 Photographers, camera operators, and related occupations 1000 Priests and pastors 1001 Other members of religious orders 1010 Other professional and technical workers not elsewhere classified 1020 Aircraft pilots, navigators and flight engineers 1030 Jewellers and goldsmiths 1040 Operators of stationary engines and excavating and lifting equipment and related workers 1041 Crane and hoist operators 1049 Operators of construction machinery, stationary engines, and excavating and lifting equipment and related workers 1050 Operators of television and radio broadcasting equipment and sound and film projection equipment 1060 Manufacturing workers and related occupations not elsewhere classified 1070 Other service workers not elsewhere classified 9000 Members of the armed forces 9500 Seeking first job 9998 Unknown 9999 NIU (not in universe) Work: Occupation Variables -- PERSON Children ever born <span class="em"><br />For women of appropriate age<br /></span></p> <p>17. Fertility (Only for women 15 years of age or older of whatever marital status)</p> <div class="i1">a) What is the total number of children born alive to the enumerated person?<br /><br />b) How many children of the enumerated person are currently alive? (Even though they may not live in this household)<br /><br />c) (Only for women 15 to 49 years of age) How many children were born alive to the enumerated person during 1969?</div><div class="i1">Write these answers in the form of numbers:</div><div class="i2">a) ____ Total children born alive<br />b) ____ Number of children currently alive<br />c) ____ Number of children born alive during 1969</div> <span class="em">11.5.5. Fertility.</span> This question is presented to women, irrespective of their legal marital status or de facto conjugal status. Three distinct aspects of fertility are investigated on the census form. For the first two, letters a) and b), the reference period is, practically, all of the fertile life of the woman; that is, these two aspects should be investigated for all women 15 years of age and older. The third aspect, letter c), however, has a more limited reference period; that is, it is only investigated for women from 15 to 49 years of age.</p> <p>Letter a) of question 17 refers to the total number of <span class="em">children born alive</span> to each enumerated woman 15 years of age and older. Not taken into account is whether they are alive or not at the time of the census or the age of death. A <span class="em">child born alive</span> is any child that had shown any sign of life (cry, scream, breathing) after the complete separation from the mother's body. It is not necessary to consider the duration of the pregnancy or the amount of time the child was alive; it is sufficient that the child had survived for an instant after the separation from the mother. It is also not necessary for the umbilical cord (bellybutton cord) to have been cut; it is sufficient for the entire body of the child to have been expelled or extracted from the womb. Therefore, children born without life (dead), abortions, or miscarriages are not counted.</p> <p>Letter b) of question 17 refers to the total number of children alive at the time of the census; that is, those that are alive at midnight of January 8-9 of 1970. Therefore, those who passed away before and those born after the "census moment" are excluded.</p> <p>Letter c) of question 17 refers to the children born alive between the January 1 and December 31 of 1969 to all of the enumerated women from 15 to 49 years of age.</p> <p>It is important that the questions be presented carefully in order to avoid erroneous answers. Dominican Republic 1970: Females age 15+ [discrepancies: type I none; type II 10.3%] This variable reports the total number of children born alive to each woman of whom the question was asked. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children surviving <span class="em"><br />For women of appropriate age<br /></span></p> <p>17. Fertility (Only for women 15 years of age or older of whatever marital status)</p> <div class="i1">a) What is the total number of children born alive to the enumerated person?<br /><br />b) How many children of the enumerated person are currently alive? (Even though they may not live in this household)<br /><br />c) (Only for women 15 to 49 years of age) How many children were born alive to the enumerated person during 1969?</div><div class="i1">Write these answers in the form of numbers:</div><div class="i2">a) ____ Total children born alive<br />b) ____ Number of children currently alive<br />c) ____ Number of children born alive during 1969</div> <span class="em">11.5.5. Fertility.</span> This question is presented to women, irrespective of their legal marital status or de facto conjugal status. Three distinct aspects of fertility are investigated on the census form. For the first two, letters a) and b), the reference period is, practically, all of the fertile life of the woman; that is, these two aspects should be investigated for all women 15 years of age and older. The third aspect, letter c), however, has a more limited reference period; that is, it is only investigated for women from 15 to 49 years of age.</p> <p>Letter a) of question 17 refers to the total number of <span class="em">children born alive</span> to each enumerated woman 15 years of age and older. Not taken into account is whether they are alive or not at the time of the census or the age of death. A <span class="em">child born alive</span> is any child that had shown any sign of life (cry, scream, breathing) after the complete separation from the mother's body. It is not necessary to consider the duration of the pregnancy or the amount of time the child was alive; it is sufficient that the child had survived for an instant after the separation from the mother. It is also not necessary for the umbilical cord (bellybutton cord) to have been cut; it is sufficient for the entire body of the child to have been expelled or extracted from the womb. Therefore, children born without life (dead), abortions, or miscarriages are not counted.</p> <p>Letter b) of question 17 refers to the total number of children alive at the time of the census; that is, those that are alive at midnight of January 8-9 of 1970. Therefore, those who passed away before and those born after the "census moment" are excluded.</p> <p>Letter c) of question 17 refers to the children born alive between the January 1 and December 31 of 1969 to all of the enumerated women from 15 to 49 years of age.</p> <p>It is important that the questions be presented carefully in order to avoid erroneous answers. Dominican Republic 1970: Females age 15+ [discrepancies: type I none; type II 10.8%] This variable reports the number of children born to a woman who were still living at the time of the census. 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+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children born in 1969 <span class="em"><br />For women of appropriate age<br /></span></p> <p>17. Fertility (Only for women 15 years of age or older of whatever marital status)</p> <div class="i1">a) What is the total number of children born alive to the enumerated person?<br /><br />b) How many children of the enumerated person are currently alive? (Even though they may not live in this household)<br /><br />c) (Only for women 15 to 49 years of age) How many children were born alive to the enumerated person during 1969?</div><div class="i1">Write these answers in the form of numbers:</div><div class="i2">a) ____ Total children born alive<br />b) ____ Number of children currently alive<br />c) ____ Number of children born alive during 1969</div> <span class="em">11.5.5. Fertility.</span> This question is presented to women, irrespective of their legal marital status or de facto conjugal status. Three distinct aspects of fertility are investigated on the census form. For the first two, letters a) and b), the reference period is, practically, all of the fertile life of the woman; that is, these two aspects should be investigated for all women 15 years of age and older. The third aspect, letter c), however, has a more limited reference period; that is, it is only investigated for women from 15 to 49 years of age.</p> <p>Letter a) of question 17 refers to the total number of <span class="em">children born alive</span> to each enumerated woman 15 years of age and older. Not taken into account is whether they are alive or not at the time of the census or the age of death. A <span class="em">child born alive</span> is any child that had shown any sign of life (cry, scream, breathing) after the complete separation from the mother's body. It is not necessary to consider the duration of the pregnancy or the amount of time the child was alive; it is sufficient that the child had survived for an instant after the separation from the mother. It is also not necessary for the umbilical cord (bellybutton cord) to have been cut; it is sufficient for the entire body of the child to have been expelled or extracted from the womb. Therefore, children born without life (dead), abortions, or miscarriages are not counted.</p> <p>Letter b) of question 17 refers to the total number of children alive at the time of the census; that is, those that are alive at midnight of January 8-9 of 1970. Therefore, those who passed away before and those born after the "census moment" are excluded.</p> <p>Letter c) of question 17 refers to the children born alive between the January 1 and December 31 of 1969 to all of the enumerated women from 15 to 49 years of age.</p> <p>It is important that the questions be presented carefully in order to avoid erroneous answers. Dominican Republic 1970: Females age 15 to 49 [discrepancies: type I none; type II 19.8%] This variable reports the number of children that were born alive to each woman of whom the question was asked between January 1st and December 31st, 1969. 0 0 1 1 2 2 3 3 4 4 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Expansion factor Dominican Republic 1970: All persons [discrepancies: none] This variable indicates the expansion factor for the individual. 09 9 10 10 11 11 12 12 18 18 19 19 20 20 21 21 22 22 Technical Person Variables -- PERSON