XIII Censo General de Población. II Censo de Vivienda 1960 DDI_CHL_1960_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. XIII Censo General de Población. II Censo de Vivienda - IPUMS Subset 1960 PHC cl1960a (IPUMS Harmonized Subset) CHL_1960_PHC_v01_M_v7.6_A_IPUMS Dirección de Estadísticas y Censos, Ministerio de Economía IPUMS (c) Copyright 1960, Dirección de Estadísticas y Censos, Ministerio de Economía and Minnesota Population Center Dirección de Estadísticas y Censos, Ministerio de Economía Population and Housing Census [hh/popcen] IPUMS International DOI:10.18128/D020.V7.6 Version 7.6. The datasets contain selected variables from the original microdata plus harmonized variables from the IPUMS-International database. Demographic Variables -- PERSON Dwelling Characteristics Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Fertility and Mortality Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Education Variables -- PERSON Utilities Variables -- HOUSEHOLD Geography: A-E Variables -- HOUSEHOLD Migration: Global Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Migration: A-E Variables -- PERSON Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Geography: Global Variables -- HOUSEHOLD Ethnicity and Language Variables -- PERSON Constructed Household Variables -- HOUSEHOLD Education Variables -- PERSON Work Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON Demographic Variables -- PERSON November 29, 1960 November 29, 1960 Chile Department Persons UNITS IDENTIFIED: - Dwellings: no - Vacant Units: No - Households: no - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: Any functionally separate and independent premises or enclosure that has been constructed, made, converted, or prepared for purposes of permanent or temporary lodging of people, as well as any type of accommodation, stationary or mobile, occupied as a place of lodging on the date of the census. Therefore, the following constitute a dwelling: a) A house, apartment, flat, room or group of rooms, shack, etc., that is independent and meant for providing lodging to a group or people or a single person; b) a craft (boat), vehicle, boxcar, tent, etc. as well as any other type of accommodation (granary, shed), occupied as a place of lodging on the date of the census. - Households: A private or family dwelling is one used as a separate and independent abode or domicile by a person who lives alone or by a family or a group of people, related or unrelated, who live together under a family system. - Group quarters: This type of dwelling is used or meant to be used as a place of lodging for a group of people who are not necessarily related, but who generally live together for reasons of discipline, health, teaching, military or religious life, work, etc. Other such dwellings in this category are: correctional facilities, military barracks, hospitals, boarding schools, hotels, convents, boarding houses, retirement homes, workers camps, etc. All people residing in the country at midnight November 29, 1960 (i.e. between November 28 and 29). In particular, every person that spent the night in the enumerated household. Including members of the family which for job related or special reasons slept away or were absent at midnight (e.g. guards, physicians, nurses, policemen, absent due to a party or funeral). Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Chile 1960 Note: Persons not organized into households MICRODATA SOURCE: Dirección de Estadísticas y Censos, Ministerio de Economía SAMPLE SIZE (person records): 88184. SAMPLE DESIGN: Unknown Face-to-face [f2f] Single enumeration form, which requested information on dwellings and individuals. de facto, CENSUS DAY: November 29, 1960 Self-weighting. Expansion factor = 83. 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. Dirección de Estadísticas y Censos, Ministerio de Economía 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: Chile, Dirección de Estadísticas y Censos, Ministerio de Economía. XIII Censo General de Población. II Censo de Vivienda 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 cl1960a, 2025 CHL1960_PHC-H-H.dat Household records n.a. ascii Minnesota Population Center Version 7.5, IPUMS sample CHL1960_PHC-P-H.dat Person records 88184 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 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 Chile, Province 1960 - 1970 [Level 1; consistent boundaries, GIS] GEO1ALT_CL identifies the household's province within Chile in 1960 and 1970. Provinces were the first level administrative units of the country in 1960 and 1970. GEO1ALT_CL 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 GEO1ALT_CL can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Chile 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. 152001 Tarapaca 152002 Antofagasta 152003 Atacama 152004 Coquimbo 152005 Aconcagua 152006 Valparaiso 152007 Santiago 152008 Ohiggins 152009 Colchagua 152010 Curico 152011 Talca 152012 Maule 152013 Linares 152014 Nuble 152015 Concepcion 152016 Arauco 152017 Bio Bio 152018 Malleco 152019 Cautin 152020 Valdivia 152021 Osorno 152022 Llanquihue 152023 Chiloe 152024 Aysen 152025 Magallanes 152099 Unknown Geography: A-E Variables -- HOUSEHOLD Chile, Province 1960 [Level 1, GIS] GEO1_CL1960 identifies the household's province within Chile in 1960. Provinces are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_CL1960 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Chile 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 Tarapaca 002 Antofagasta 003 Atacama 004 Coquimbo 005 Aconcagua 006 Valparaiso 007 Santiago 008 O'Higgins 009 Colchagua 010 Curico 011 Talca 012 Maule 013 Linares 014 Nuble 015 Concepcion 016 Arauco 017 Bio Bio 018 Malleco 019 Cautin 020 Valdivia 021 Osorno 022 Llanquihue 023 Chiloe 024 Aysen 025 Magallanes 099 Unknown Geography: A-E Variables -- HOUSEHOLD Chile, Department 1960 - 1970 [Level 2; consistent boundaries, GIS] GEO2ALT_CL identifies the household's department within Chile in 1960 and 1970. Departments are the second level administrative units of the country, after provinces. GEO2ALT_CL 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 GEO2ALT_CL can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Chile 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. 152001001 Arica 152001002 Pisagua, Iquique 152002001 Antofagasta 152002002 Loa 152002003 Taltal 152002004 Tocopilla 152003001 Copiapo 152003002 Huasco, Freirina 152003003 Chanaral 152004001 Elqui, Ovalle, Combarbala 152004002 La Serena 152004003 Coquimbo 152004004 Illapel 152005001 San Felipe 152005002 Los Andes 152005003 Petorca 152006001 Valparaiso, Isla de Pascua 152006002 Quillota 152006999 'Valparaiso province department unknown 152007001 Santiago 152007002 Pedro Aguirre Cerda 152007003 Talagante, San Bernardo 152007004 Puente Alto 152007005 Melipilla 152007006 San Antonio 152007007 Maipo 152008001 Rancagua 152008002 Caupolican 152008003 San Vicente 152008004 Cachapoal 152009001 Santa Cruz 152009002 San Fernando 152010001 Mataquito, Curico 152011001 Talca 152011002 Curepto, Lontue 152012001 Chanco, Constitucion 152012002 Cauquenes 152013001 Linares 152013002 Parral 152013003 Loncomilla 152014001 Chillan 152014002 San Carlos 152014003 Yungay 152014004 Bulnes 152014005 Itata 152015001 Concepcion 152015002 Talcahuano 152015003 Coronel 152015004 Tome 152015005 Yumbel 152016001 Arauco 152016002 Canete 152016003 Lebu 152017001 La Laja 152017002 Mulchen 152017003 Nacimiento 152018001 Angol 152018002 Triguen 152018003 Victoria 152018004 Curacautin 152018005 Collipulli 152019001 Temuco 152019002 Imperial 152019003 Villarrica 152019004 Pitrufquen 152019005 Lautaro 152020001 Valdivia, Panquipulli 152020002 La Union 152020003 Rio Bueno 152021001 Osorno 152021002 Rio Negro 152022001 Llanquihue 152022002 Puerto Varas 152022003 Maullin 152022004 Calbuco 152023001 Castro, Palena, Quinchao 152023002 Ancud 152024001 Coyhaique 152024002 Chile Chico, Aysen 152025001 Ultima Esperanza, Tierra del Fuego, Magallanes 152099999 Unknown Geography: A-E Variables -- HOUSEHOLD Chile, Department 1960 [Level 2, GIS] GEO2_CL1960 identifies the household’s department within Chile in 1960. Departments are the second level administrative units of the country, after provinces. A GIS map (in shapefile format), corresponding to GEO2_CL1960 can be downloaded from the GIS Boundary files page in the IPUMS International web site The full set of geography variables for Chile 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 Pisagua, Iquique 001002 Arica 002001 Tocopilla 002002 Tal-Tal 002003 El Loa 002004 Antofagasta 003001 Freirina, Copiapo 003002 Huasco 003003 Chanaral 004001 Coquimbo 004002 Elqui, Ovalle 004003 Combarbala, Illapel 004004 La Serena 005001 Los Andes 005002 Petorca 005003 San Felipe 006001 Quillota 006002 Valparaiso 006999 'Valparaiso province department unknown 007001 Melipilla 007002 San Antonio 007003 San Bernardo 007004 Talagante 007005 Maipo 007006 Santiago 007007 Pedro A. Cerda 007008 Puente Alto 008001 Rancagua 008002 San Vicente 008003 Caupolican 008004 Cachapoal 009001 San Fernando 009002 Santa Cruz 010001 Mataquito, Curico 011001 Lontue, Curepto 011002 Talca 012001 Constitucion 012002 Cauquenes, Chanco 013001 Linares 013002 Loncomilla 013003 Parral 014001 Bulnes 014002 Itata 014003 Chillan 014004 San Carlos 014005 Yungay 015001 Coronel 015002 Talcahuano 015003 Concepcion 015004 Yumbel 015005 Tome 016001 Lebu 016002 Canete 016003 Arauco 017001 La Laja 017002 Nacimiento 017003 Mulchen 018001 Curacautin 018002 Traiguen 018003 Victoria 018004 Collipulli 018005 Angol 019001 Lautaro 019002 Pitrufquen 019003 Villarrica 019004 Imperial 019005 Temuco 020001 La Union 020002 Valdivia 020003 Rio Bueno 021001 Rio Negro 021002 Osorno 022001 Maullin 022002 Puerto Varas 022003 Llanquihue 022004 Calbuco 023001 Castro, Palena 023002 Quinchao, Ancud 024001 Chile Chico, Aysen 024002 Coyhaique 025001 Tierra Del Fuego, Ultima Esperanza, Magallanes 999999 Unknown Geography: A-E Variables -- HOUSEHOLD Ownership of dwelling [general version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 0 NIU (not in universe) 1 Owned 2 Not owned 9 Unknown Household Economic Variables -- HOUSEHOLD Ownership of dwelling [detailed version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 000 NIU (not in universe) 100 Owned 110 Owned, already paid 120 Owned, still paying 130 Owned, constructed 140 Owned, inherited 190 Owned, other 191 Owned, house 192 Owned, condominium 193 Apartment proprietor 194 Shared ownership 200 Not owned 210 Renting, not specified 211 Renting, government 212 Renting, local authority 213 Renting, parastatal 214 Renting, private 215 Renting, private company 216 Renting, individual 217 Renting, collective 218 Renting, joint state and individual 219 Renting, public subsidized 220 Renting, private subsidized 221 Renting, co-tenant 222 Renting, relative of tenant 223 Renting, cooperative 224 Renting, with a job or business 225 Renting, loan-backed habitation 226 Renting, mixed contract 227 Furnished dwelling 228 Sharecropping 230 Subletting 231 Rent to own 239 Renting, other 240 Occupied de facto/squatting 250 Free/usufruct (no cash rent) 251 Free, provided by employer 252 Free, without work or services 253 Free, provided by family or friend 254 Free, private 255 Free, public 256 Free, condemned 257 Free, other 260 Endowment, Waqf (Egypt historical) 290 Not owned, other 999 Unknown Household Economic Variables -- HOUSEHOLD Electricity ELECTRIC indicates whether the household had access to electricity. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Utilities Variables -- HOUSEHOLD Water supply WATSUP describes the physical means by which the housing unit receives its water. The primary distinction is whether or not the household had piped (running) water. 00 NIU (not in universe) 10 Yes, piped water 11 Piped inside dwelling 12 Piped, exclusively to this household 13 Piped, shared with other households 14 Piped outside the dwelling 15 Piped outside dwelling, in building 16 Piped within the building or plot of land 17 Piped outside the building or lot 18 Have access to public piped water 20 No piped water 99 Unknown Utilities Variables -- HOUSEHOLD Sewage SEWAGE indicates whether the household has access to a sewage system or septic tank. 00 NIU (not in universe) 10 Connected to sewage system or septic tank 11 Sewage system (public sewage disposal) 12 Septic tank (private sewage disposal) 20 Not connected to sewage disposal system 99 Unknown Utilities Variables -- HOUSEHOLD Hot water heater HOTWATER indicates whether the housing unit had a water heater. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Radio in household RADIO indicates whether the household had a radio. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of rooms ROOMS indicates the number of rooms occupied by the housing unit. 00 Part of a room; no rooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Toilet TOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation. 00 NIU (not in universe) 10 No toilet 11 No flush toilet 20 Have toilet, type not specified 21 Flush toilet 22 Non-flush, latrine 23 Non-flush, other and unspecified 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Bathing facilities BATH indicates whether the household had access to bathing facilities and, in most cases, whether it had exclusive access. 0 NIU (not in universe) 1 No bathing facility 2 Have bathing facility, exclusivity not specified 3 Have bathing facility, exclusive use 4 Have bathing facility, shared use 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Floor material FLOOR indicates the dwelling's predominant flooring material. 000 NIU (not in universe) 100 None/unfinished (earth) 110 Sand 120 Dung 200 Finished 201 Cement, tile, or brick 202 Cement 203 Concrete 204 Cement screed 205 Ceramic tile 206 Paving stone, cement tile 207 Stone 208 Brick 209 Brick or stone 210 Brick or cement 211 Block 212 Terrazzo 213 Wood 214 Palm, bamboo 215 Parquet 216 Parquet, tile, vinyl 217 Parquet, tile, marble 218 Ceramic, marble, granite 219 Ceramic, marble, tile, or vinyl 220 Marble 221 Mosaic 222 Tile 223 Tile, linoleum, ceramic, etc 224 Tile, cement 225 Tile, stone 226 Tile, stone, brick 227 Tile, stone, vinyl, brick 228 Tile, vinyl, brick 229 Tile, vinyl 230 Vinyl, linoleum, etc 231 Asphalt sheet, vinyl, etc 232 Synthetic, plastic 233 Cane 234 Carpet, rug 235 Scrap material 236 Other finished, n.e.c. 999 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Wall or building material This variable indicates the primary material used in the construction of the dwelling, particularly the dwelling's exterior walls. 000 NIU (not in universe) 100 No walls 200 Cardboard, scrap, and miscellaneous materials 201 Waste, scrap, or discarded material 202 Fabric or discarded material 203 Zinc, fabric, cardboard, tins, and waste material 204 Cardboard sheet 205 Plastic sheeting, cardboard 206 Makeshift, salvaged, or improvised materials 207 Reused materials 300 Wood 310 Rough wood 320 Wood, fibercement or plywood 330 Wood, formica, and other 340 Wood or bamboo 350 Wood or straw 400 Other plant-based materials 401 Plantain leaves and similar material 402 Bamboo or cane 403 Bamboo, sawali, cogon, nipa 404 Straw or bamboo 405 Grass, straw or reed 406 Reed, bamboo, or palm 407 Cane, palm leaves, logs 408 Palm leaves or palm planks 409 Bark, sticks, or cane 500 Masonry, stone, cement, adobe, metal, glass, and other fabricated materials (sometimes mixed with wood) 501 Brick, block, stone, or cement 502 Brick, stone, concrete 503 Brick, stone, or substitutes (dividing panels made of reinforced concrete) 504 Brick, stone, or substitutes (dividing panels made of wood) 505 Brick or tile 506 Brick or stone 507 Brick or cement block 508 Brick with plaster exterior 509 Brick without plaster exterior 510 Burnt or stabilized brick 511 Covered brick 512 Brick 513 Unburnt brick 514 Unburnt brick with cement 515 Unburnt brick with mud 516 Concrete 517 Landcrete, sandcrete 518 Cement blocks 519 Cement blocks or brick 520 Cement blocks or brick, unfinished 521 Cement and adobe bricks 522 Cement and stone block 523 Cement and tiles 524 Reinforced concrete, pre-cast concrete panels, or steel skeleton framed concrete 525 Concrete, reinforced concrete, blocks, panels 526 Fibercement 527 Adobe 528 Adobe walls with plaster exterior 529 Adobe walls without plaster exterior 530 Adobe with cement exterior 531 Wood and earth adobe 532 Wood and cement adobe 533 Mud or adobe 534 Pressed dirt 535 Clay 536 Coated clay/mud with sticks/cane 537 Clay or clay-covered sticks 538 Netted bamboo or cane with mud 539 Bundle of mud, straw, other materials 540 Mud with wood/wattle 541 Pole and mud 542 Mud with cement 543 Unfinished lathe and plaster, stucco, etc. 544 Stone 545 Hand-laid stone 546 Quarried stone 547 Cut stone and concrete 548 Cemented stone 549 Stone with clay 550 Blocks of light material 551 Prefabricated material 552 Asbestos 553 Metal or asbestos sheet 554 Metal or iron sheet 555 Metal or fibercement sheeting 556 Galvanized iron or aluminum 557 Tin 558 Glass 559 Cloth 560 Covintec panels 561 Mixed material 562 Mixed material: part wood; part concrete, brick, or stone 563 Wood plastered with clay, adobe, other materials; wood pressed panels; rolled mud bricks; etc. 564 Mixed material: wood or galvanized metal 570 Mainly permanent materials 600 Other material 601 Partition wall, lined with wood or steel 602 Partition wall, unlined 999 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Roof material This variable indicates the dwelling's predominant roofing material. 00 NIU (not in universe) 10 Masonry, concrete, clay tile, or tiles of unspecified type 11 Concrete or cement 12 Reinforced concrete (slab) 13 Cement or sheet metal 14 Tile, unspecified material 15 Clay tile 16 Tile or cement 17 Modern tiles, industrial 18 Traditional tiles, locally made 19 Tile or flat stone 20 Tile, unspecified or mixed materials 21 Fibercement or plastic 22 Fibercement or metal sheets 23 Asphalt or laminate cover 24 Tile, cement, asphalt 25 Asphalt tile 26 Slate or tile 27 Slate or asbestos 28 Asbestos 29 Adobe 30 Tiles or wood planks 31 Roofing shingles 32 Tar paper 33 Metal 34 Sheet metal 35 Zinc or tin 36 Tin 37 Sheet metal or other sheet material 38 Sheet metal, tile, slate 40 Wood and other plant materials 41 Wood 42 Wood, including bamboo 43 Bamboo 44 Cogon, nipa, anahaw 45 Thatch (straw, grass, leaves, palm, etc.) 46 Cane, wood, straw 47 Grass or straw 48 Papyrus 49 Banana leaves or fiber 50 Palm or makuti 51 Straw, bamboo, polythene 52 Wood with clay 53 Grass and mud 54 Rustic mat 60 Mud or earth 61 Clay 70 Cardboard, scrap, and miscellaneous materials 71 Discarded or scrap material 72 Cardboard 73 Plastic, tarpaulin 80 Other, unspecified 90 No roof 99 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Dwelling number Chile 1960: All households This variable indicates the dwelling number of the household. This is a 5-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Household number Chile 1960: All households This variable indicates the household number within dwelling. 1 1 Technical Household Variables -- HOUSEHOLD Urban-rural Chile 1960: All households This variable indicates the urban-rural status of the household. 1 Urban 2 Rural 9 Unknown Geography: A-E Variables -- HOUSEHOLD Group quarters status <svar v="CL60A025" a="all">8.<br /><div class="i1">[] 1 Private or family household<br />[] 2 Non-family group or collective</div><br /></svar> <svar v="CL60A025 CL60A026" a="all"><span class="h2">1. Type of Dwelling</span><br /><br />Under this heading information will be collected on premises and enclosures identified as dwellings from the point of view of the following general characteristics: (a) purpose (constructed as lodging or not) and actual use (used for habilitation [sic]); (b) relationship of those living together (private household or community); (c) similar structural elements (house, apartment, rustic hut, etc.)<br /><br />Within this definition, under the heading premises meant as dwellings, information will be collected by marking an (x) in the appropriate square located under each of the following subgroups: (a) family dwellings, and (b) collective dwellings. And under the heading: other premises that function as dwellings on the date of the census, information will be recorded on the corresponding dotted line. <br /><br />Premises meant as dwellings. The options indicated within the subgroup family dwellings include almost all of the distinct types of family dwellings that actually exist in the country. As can be observed, both types of dwelling predominant in urban areas (houses, apartments, etc.) and those predominant in rural areas (shacks, rustic huts, etc.) have been listed, including also types of clandestine dwellings such as squatter settlements, mobile dwellings (trailers, boats) and others. Within the subgroup Collective Dwellings, as in the previous case, premises corresponding to the various types of institutions are listed with sufficient completeness.<br /><br />Finally, under the heading other premises that function as dwellings on the date of the census, no list has been included. This space is reserved for specific notations on those premises that were not meant, constructed, built, adapted, or transformed to be lived in, but which in fact are used as a place of lodging on the day of the census. In the case of, for example, stables, granaries, garages, etc. <br /><br />The following definitions will help to record each case properly:<br /><br /><span class="h3">Family Dwellings:</span><br /><br />a) Private House. Private house, or more commonly "house," refers to a building or construction that contains only one family dwelling. Chalets, bungalows, duplexes and, in general, all buildings, whatever their style, along a street that constitute the abode of a private domicile should be recorded, therefore, as "house" or "private house."<br /><br /><span class="pg">[p. 23]</span><br /><br />b) An apartment in an apartment building is the room or group of rooms which, inside a building, constitute a family dwelling, but occupy only part of the building. The building is always made up of various living units.<br /><br />c) A hut (<span class="lang">casita de cite</span>) is a building that is part of an enclosed area, within which small, independent houses meant for family dwellings are distributed.<br /><br />d) An apartment or room in a house is a room or group of rooms that, in compliance with the requirements of the definition of "dwelling" (see definition), are located inside a "house" or "private house."<br /><br />e) An apartment or room in a school, factory, workshop, collective dwelling, etc. is a room or group of rooms that, in compliance with the requirements of the definition of "dwelling" are located inside the building or premises of a school, industrial workshop, factory, collective dwelling, etc., such as apartments or rooms meant for the use of doormen, security guards, directors of the institution or business or community, or some of its employees.<br /><br />f) A room in a tenement (high-density slum) is a room among other similar rooms, located within a building that has shared bathroom facilities. A room generally constitutes a family dwelling. <br /><br />g) An improvised dwelling (squatter settlement) is an edification made of waste materials, on uncultivated land belonging to others, where there is no urban infrastructure nor hygienic conditions for habitability. They generally make up settlements.<br /><br />h) A shack, rustic hut, or cabin is a typical rural edification made of lightweight material. In the city, isolated dwellings put up to supervise a construction site or project, in which the supervisor usually lives with his family, should be recorded in this category.<br /> <br />i) A trailer, boat, boxcar is a type of dwelling constructed on a mobile structure for the purpose of recreation or because of convenience for work.<br /><br />j) Others (tents, parked vehicles, etc.) are types of unstable, more or less temporary dwellings, or dwellings that have been specially adapted. Parked vehicle means the upper part of streetcars, boxcars, buses, etc. that was initially meant for the use of passengers but that, whether removed or not from the wheels, has been immobilized in some place through being used as place to live.<br /><br /><span class="h3">Collective Dwellings. </span><br /><br />Reading this definition and that of particular types of collective dwellings will help greatly in notating [this section].<br /><br />a) A boarding house or guest house is a dwelling with six or more boarders, considering as such even those who only pay for a room [not meals]. If there are five or fewer boarders, the dwelling should be considered a private dwelling. This definition should not be confused with that of apartment or room in a house, previously explained <span class="pg">[p. 24]</span>, and which is an independent dwelling within a private house, and therefore a family dwelling.<br /><br />b) A hotel is a dwelling in which temporary or permanent lodging is provided with food or without it.<br /><br />c) A lodge is a dwelling generally meant to provide nighttime lodging.<br /><br />Note: The rest of the collective dwellings listed don't need any definition. Just remember that in any type of collective dwelling there can be one or more family dwellings.<br /><br />Premises that function as dwellings on the date of the census. Record the appropriate information, specifying the name of the premises (garage, granary, etc.)<br /></svar> Chile 1960: All households This variable indicates the group quarter status (i.e., private vs. collective dwellings). 1 Private 2 Collective 9 Unknown Group Quarters Variables -- HOUSEHOLD Type of dwelling <svar v="CL60A026" a="all">1. Dwelling type<br /><br /><div class="i1">Places intended for habitation:</div><br /><div class="i2">a) Family dwellings</div><br /><div class="i3">[] 01 Private house<br />[] 02 Apartment in an apartment building<br />[] 03 Shack (<span class="lang">casita de cité</span>)<br />[] 04 Apartment or room in a house<br />[] 05 Apartment or room in a school, factory, workshop, collective dwelling, etc.<br />[] 06 Room in a high-density slum dwelling<br />[] 07 Improvised dwelling (<span class="lang">callampa</span>, squatter settlements)<br />[] 08 Shack in a farm (<span class="lang">rancho</span>), Indian dwelling, rustic huts<br />[] 09 Trailer, boat, boxcar<br />[] 10 Others (tents, parked cars, etc.)</div><br /><div class="i2">b) Collective dwellings</div><br /><div class="i3">[] 11 Boardinghouse or guesthouse<br />[] 12 Hotel<br />[] 13 Lodge<br />[] 14 Hospitals and asylums<br />[] 15 Convent<br />[] 16 Boarding school<br />[] 17 Regiment or military camp<br />[] 18 Prison<br />[] 19 Workers' camps, cabins, etc.<br />[] 20 Others</div><br /><br /><div class="i1">Other places used as dwellings:</div><br /><div class="i3">[] 21 ____ Granaries, warehouses, garages, etc.</div><br /></svar> <svar v="CL60A025 CL60A026" a="all"><span class="h2">1. Type of Dwelling</span><br /><br />Under this heading information will be collected on premises and enclosures identified as dwellings from the point of view of the following general characteristics: (a) purpose (constructed as lodging or not) and actual use (used for habilitation [sic]); (b) relationship of those living together (private household or community); (c) similar structural elements (house, apartment, rustic hut, etc.)<br /><br />Within this definition, under the heading premises meant as dwellings, information will be collected by marking an (x) in the appropriate square located under each of the following subgroups: (a) family dwellings, and (b) collective dwellings. And under the heading: other premises that function as dwellings on the date of the census, information will be recorded on the corresponding dotted line. <br /><br />Premises meant as dwellings. The options indicated within the subgroup family dwellings include almost all of the distinct types of family dwellings that actually exist in the country. As can be observed, both types of dwelling predominant in urban areas (houses, apartments, etc.) and those predominant in rural areas (shacks, rustic huts, etc.) have been listed, including also types of clandestine dwellings such as squatter settlements, mobile dwellings (trailers, boats) and others. Within the subgroup Collective Dwellings, as in the previous case, premises corresponding to the various types of institutions are listed with sufficient completeness.<br /><br />Finally, under the heading other premises that function as dwellings on the date of the census, no list has been included. This space is reserved for specific notations on those premises that were not meant, constructed, built, adapted, or transformed to be lived in, but which in fact are used as a place of lodging on the day of the census. In the case of, for example, stables, granaries, garages, etc. <br /><br />The following definitions will help to record each case properly:<br /><br /><span class="h3">Family Dwellings:</span><br /><br />a) Private House. Private house, or more commonly "house," refers to a building or construction that contains only one family dwelling. Chalets, bungalows, duplexes and, in general, all buildings, whatever their style, along a street that constitute the abode of a private domicile should be recorded, therefore, as "house" or "private house."<br /><br /><span class="pg">[p. 23]</span><br /><br />b) An apartment in an apartment building is the room or group of rooms which, inside a building, constitute a family dwelling, but occupy only part of the building. The building is always made up of various living units.<br /><br />c) A hut (<span class="lang">casita de cite</span>) is a building that is part of an enclosed area, within which small, independent houses meant for family dwellings are distributed.<br /><br />d) An apartment or room in a house is a room or group of rooms that, in compliance with the requirements of the definition of "dwelling" (see definition), are located inside a "house" or "private house."<br /><br />e) An apartment or room in a school, factory, workshop, collective dwelling, etc. is a room or group of rooms that, in compliance with the requirements of the definition of "dwelling" are located inside the building or premises of a school, industrial workshop, factory, collective dwelling, etc., such as apartments or rooms meant for the use of doormen, security guards, directors of the institution or business or community, or some of its employees.<br /><br />f) A room in a tenement (high-density slum) is a room among other similar rooms, located within a building that has shared bathroom facilities. A room generally constitutes a family dwelling. <br /><br />g) An improvised dwelling (squatter settlement) is an edification made of waste materials, on uncultivated land belonging to others, where there is no urban infrastructure nor hygienic conditions for habitability. They generally make up settlements.<br /><br />h) A shack, rustic hut, or cabin is a typical rural edification made of lightweight material. In the city, isolated dwellings put up to supervise a construction site or project, in which the supervisor usually lives with his family, should be recorded in this category.<br /> <br />i) A trailer, boat, boxcar is a type of dwelling constructed on a mobile structure for the purpose of recreation or because of convenience for work.<br /><br />j) Others (tents, parked vehicles, etc.) are types of unstable, more or less temporary dwellings, or dwellings that have been specially adapted. Parked vehicle means the upper part of streetcars, boxcars, buses, etc. that was initially meant for the use of passengers but that, whether removed or not from the wheels, has been immobilized in some place through being used as place to live.<br /><br /><span class="h3">Collective Dwellings. </span><br /><br />Reading this definition and that of particular types of collective dwellings will help greatly in notating [this section].<br /><br />a) A boarding house or guest house is a dwelling with six or more boarders, considering as such even those who only pay for a room [not meals]. If there are five or fewer boarders, the dwelling should be considered a private dwelling. This definition should not be confused with that of apartment or room in a house, previously explained <span class="pg">[p. 24]</span>, and which is an independent dwelling within a private house, and therefore a family dwelling.<br /><br />b) A hotel is a dwelling in which temporary or permanent lodging is provided with food or without it.<br /><br />c) A lodge is a dwelling generally meant to provide nighttime lodging.<br /><br />Note: The rest of the collective dwellings listed don't need any definition. Just remember that in any type of collective dwelling there can be one or more family dwellings.<br /><br />Premises that function as dwellings on the date of the census. Record the appropriate information, specifying the name of the premises (garage, granary, etc.)<br /></svar> Chile 1960: Households in which the head was sampled [discrepancies: type I trace; type II none] This variable indicates the type of dwelling. 00 Other tent, parked bodywork 01 Private house 02 Apartment 03 Shack 04 Apartment or room in a house 05 Apartment or room in a school, industry or workshop etc 06 Room in a high-density slum dwelling 07 Squetter settlement 08 Shack in a farm, Indian dwelling, rustic hut 09 Mobile home, boat, railway wagon 11 Housing or guesthouse 12 Hotel 13 Lodge 21 Hospital and asylum 22 Convent 23 Boarder 24 Regimient or Military camp 25 Prison 26 Worker camps, cabin, etc. 27 Other 31 Grain warehouse, Garage etc. 98 Unknown 99 NIU (not in universe) Group Quarters Variables -- HOUSEHOLD Wall material <svar v="CL60A027 CL60A028" a="all">a) Exterior walls<br /><br />Material<br /><div class="i1">[] 1 Concrete<br />[] 2 Brick, cement block or stone<br />[] 3 Mortared adobe<br />[] 4 Wood<br />[] 5 Exterior brick covered with galvanized, asbestos/cement or other type of siding boards bricks.<br />[] 6 Bricks placed on edge. Flat adobe, or cement brick<br />[] 7 Stick-and-mud, clay, straw, waste materials, tin, cardboard<br />[] 8 Other material</div><br /><br />Condition<br /><div class="i1">[] 1 Very good<br />[] 2 Acceptable<br />[] 3 Poor</div><br /></svar> <svar v="CL60A027" a="all">Exterior walls. The material of the exterior walls of the dwelling, those that bear the weight of the roof or the upper floors, will be considered. Make the appropriate notations according to the following definitions:<br /><br />a) Concrete wall. Like walls made of brick masonry or cement blocks or stone, they are easily recognizable when they are not stuccoed. When they are stuccoed, they are recognizable: a) by their thickness of no less than twenty centimeters (a hand, more or less, measured in the doorway); b) because, upon knocking on them, they should not sound hollow, but rather as if made of stone.<br /><br />b) Mortared adobe. When uncovered, it is easily recognized by its appearance of dried mud. Covered, it should measure thirty-five or sixty-five centimeters. The sound is especially muted.<br /><br />c) Exterior partition covered with sheets of galvanized iron, slate, or other siding. Constructed of wooden posts (placed vertically) and covered on one or both sides by flat or corrugated planks or sheets of galvanized iron or slate, or by sheets of pressed wood or plywood. On the interior, these walls <span class="pg">[p. 25]</span> can be covered by sheets of plaster, ebonite, or paper. Their thickness fluctuates between ten and twenty centimeters, and when knocked on they sound hollow.<br /><br />d) Brick walls, vertical (<span class="lang">parado</span>) adobe, or cement partition. The characteristic thing about this type of partition is its lack of thickness: approximately ten centimeters. The bricks are placed on edge, that is, standing up.<br /><br />e) Partitions of sticks and mud, rammed earth, waste materials, tin, cardboard, etc. These low-quality walls are generally uncovered and the enumerator can easily recognize them.<br /><br />f) Other material. Here any other material not mentioned in the previous items should be recorded.<br /></svar> Chile 1960: Households in which the head was sampled [discrepancies: type I trace; type II none] This variable indicates the wall construction material. 0 NIU (not in universe) 1 Concrete 2 Brick, cement block or stone 3 Mortared adobe 4 Wood 5 Exterior brick w/ plate or other plate 6 Bricks placed on edge. Flat adobe, or cement brick 7 Stick-and-mud, clay, straw, waste materials, tin, cardboard 8 Other material 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Wall condition <svar v="CL60A027 CL60A028" a="all">a) Exterior walls<br /><br />Material<br /><div class="i1">[] 1 Concrete<br />[] 2 Brick, cement block or stone<br />[] 3 Mortared adobe<br />[] 4 Wood<br />[] 5 Exterior brick covered with galvanized, asbestos/cement or other type of siding boards bricks.<br />[] 6 Bricks placed on edge. Flat adobe, or cement brick<br />[] 7 Stick-and-mud, clay, straw, waste materials, tin, cardboard<br />[] 8 Other material</div><br /><br />Condition<br /><div class="i1">[] 1 Very good<br />[] 2 Acceptable<br />[] 3 Poor</div><br /></svar> <svar v="CL60A028" a="all">State of repair of the walls<br /><br />a) Very good. Without any apparent defects.<br /><br />b) Acceptable. Walls that have defects in their appearance, perhaps of some seriousness, but which in no way affect their strength. Examples: water stains, some stucco falling off, some superficial cracks.<br /><br />c) Bad. Walls that have many cracks, are not square (crooked), are totally or partially detached from other walls in the dwelling, with holes, pieces that are detached, soaked, or eaten away at the base, rotten wood, tilted (<span class="lang">azumagadas</span>) at the lower end, especially the (vertical) posts. In general, it is of interest to know the condition of the walls, preferably with respect to their strength or grade of firmness. The enumerator should not judge exclusively by the appearance of the exterior nor by easily reparable deterioration, such as defects in the paint or stucco. A wall should not be classified as bad simply because of being in an old building.<br /></svar> Chile 1960: Households in which the head was sampled [discrepancies: type I trace; type II none] This variable indicates the wall condition. 1 Good condition 2 Acceptable condition 3 Bad condition 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Roof material <svar v="CL60A029 CL60A030" a="all">b) Roof covering<br /><br />Material<br /><div class="i1">[] 1 Zinc, copper, or galvanized iron<br />[] 2 Clay or cement roof-tile<br />[] 3 Asbestos/Cement boards<br />[] 4 Wooden tile<br />[] 5 Tar corrugated paper sheets<br />[] 6 Reeds stick-and-mud, cardboard, tin or wood waste material<br />[] 7 Other material</div><br /><br />Condition<br /><div class="i1">[] 1 Very good<br />[] 2 Acceptable<br />[] 3 Poor</div><br /></svar> <svar v="CL60A029" a="all"><span class="h3">Roof covering</span><br /><br />a) Zinc, copper, or galvanized iron. Sheets of various dimensions whose general characteristic is undulation or corrugation. The sheets of galvanized iron, zinc, and slate are a whitish gray. The galvanized steel, when it is rusty, is dark red or brown. The enumerator must be careful not to confuse these sheets with phonolite sheets, which will be defined later on. In other cases, iron, zinc, and copper sheets are flat with joints that stick out every eighty centimeters following the slope of the roof.<br /><br />b) Clay or cement roof tiles. The tiles have dimensions no larger than twenty by thirty centimeters; they can be curved or flat. The normal color of the cement tiles is red or gray and the clay tiles have the characteristic brick color, specific to baked clay. <br /><br /><span class="pg">[p. 26]</span><br /><br />c) Wooden tiles. Generally made of reddish-brown larch wood. The apparent size of each tile is ten by twenty centimeters. These roofs are characterized by the steep slope that they need for water drainage.<br /><br />d) Phonolite. Phonolite is a small sheet of black, corrugated tar paper.<br /><br />e) Reeds, cane and mud, cardboard, waste material composed of tin or wood. All of these materials can be recognized upon sight and generally are part of improvised roofs of bad quality.<br /><br />f) Others. Because of their small number, terraces and flat roofs will be grouped under this category. Three types will be distinguished:<br />i) Tiled terraces, that are generally in modern buildings<br />ii) Flat roofs, black, also found in modern buildings and houses<br />iii) The system of roofs commonly used in the Great North (<span class="lang">Norte Grande</span>) of the country, also called a terrace, which is a flat, wooden platform covered with mud and any other material that fundamentally keeps out the heat.<br /></svar> Chile 1960: Households in which the head was sampled [discrepancies: type I trace; type II none] This variable indicates the roof construction material. 1 Zinc, copper, or galvanized iron 2 Roof-tile of clay or cement 3 Asbest/Cement boards 4 Roof-tile of wood 5 Tar corrugated paper sheets 6 Reeds stick-and-mud, cardboard, tin or wood waste material 7 Other material 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Roof condition <svar v="CL60A029 CL60A030" a="all">b) Roof covering<br /><br />Material<br /><div class="i1">[] 1 Zinc, copper, or galvanized iron<br />[] 2 Clay or cement roof-tile<br />[] 3 Asbestos/Cement boards<br />[] 4 Wooden tile<br />[] 5 Tar corrugated paper sheets<br />[] 6 Reeds stick-and-mud, cardboard, tin or wood waste material<br />[] 7 Other material</div><br /><br />Condition<br /><div class="i1">[] 1 Very good<br />[] 2 Acceptable<br />[] 3 Poor</div><br /></svar> <svar v="CL60A030" a="all">State of repair of the roofs<br /><br />a) Very good. Without any apparent defects.<br /><br />b) Acceptable. Roofs with repaired or repairable defects; without holes, advanced rust, or unevenness. Example: broken roof tiles, unscrewed sheets, occasional drips, or drips from the chimney or sewer system vent.<br /><br />c) Bad. Uneven or sunken roofs, with holes or partial destruction; sheets eaten away by rust, a large number of broken tiles, beams rotting, sheets not adequately held down (stones on top of the roof).<br /></svar> Chile 1960: Households in which the head was sampled [discrepancies: type I trace; type II none] This variable indicates the roof condition. 1 Good condition 2 Acceptable condition 3 Bad condition 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Floor material <svar v="CL60A031 CL60A032" a="all">c) Floor<br /><br />Material<br /><div class="i1">[] 1 Wood floor or parquet<br />[] 2 Paving stone or polished cement<br />[] 3 Brick<br />[] 4 Plastic, linoleum, rubber, etc<br />[] 5 Other material<br />[] 5 Earth</div><br /><br />Condition<br /><div class="i1">[] 1 Very good<br />[] 2 Acceptable<br />[] 3 Poor</div><br /></svar> <svar v="CL60A031" a="all"><span class="h3">Floors</span><br /><br />a) Parquet or wood platform<br /><br />Platform:<br />i) Made up of mortised boards between five and fifteen centimeters wide, nailed onto wooden joists, and have a hollow sound when stepped on.<br /><br />ii) Parquet: Small wooden boards attached on top of a mix of cement. It is a compact floor upon which footsteps do not sound hollow.<br /><br />b) Floor tiles or polished cement:<br /><br />i) Floor tiles: Made up of polished, square elements of different colors (gray, red, black, with pictures), generally twenty centimeters by twenty centimeters.<br /><br />ii) Polished cement. Flat floor made on site, which can be colored or gray. Appearance similar to that of a tiled floor.<br /><br />c) Brick. Made up of small clay tiles of a characteristic brick color.<br /><br />d) Plastic, rubber, linoleum, etc. These floors are characterized by their varied or combined (streaked) colors and their soft consistency which absorbs the noise of footsteps.<br /><br />e) Dirt. Floors without a covering, composed entirely of packed and leveled dirt.<br /></svar> Chile 1960: Households in which the head was sampled [discrepancies: type I trace; type II none] This variable indicates the floor construction material. 1 Wood floor or parquet 2 Paving stone or polished cement 3 Brick 4 Plastic, linoleum rubber, etc 5 Other material 6 Ground 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Floor condition <svar v="CL60A031 CL60A032" a="all">c) Floor<br /><br />Material<br /><div class="i1">[] 1 Wood floor or parquet<br />[] 2 Paving stone or polished cement<br />[] 3 Brick<br />[] 4 Plastic, linoleum, rubber, etc<br />[] 5 Other material<br />[] 5 Earth</div><br /><br />Condition<br /><div class="i1">[] 1 Very good<br />[] 2 Acceptable<br />[] 3 Poor</div><br /></svar> <svar v="CL60A032" a="all">State of repair of the floors<br /><br />a) Very good. Without any apparent defects.<br /><br />b) Acceptable. Floor coverings that have fixable defects, such as detachments, burns, cracks, breaks in the canes (<span class="lang">palmetas</span>), as long as there aren't dangerous breaks, uneven spots, visible moisture, decay. A dirt floor is acceptable as long as it's firm, quite level, and doesn't have moisture (mud).<br /><br />c) Bad. Dangerously uneven floors that move when walked upon by a person. Rotten or worm-eaten boards. Pieces of floor covering missing, holes, moisture or mud for dirt floors.<br /></svar> Chile 1960: Households in which the head was sampled [discrepancies: type I trace; type II none] This variable indicates the floor condition. 1 Good condition 2 Acceptable condition 3 Bad condition 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Water supply <svar v="CL60A033 CL60A034" a="all">3. Water supply<br /><br />a) The dwelling is supplied with water:<br /><div class="i1">[] 1 By pipe<br />[] 2 By tank truck</div><br /><br />b) The water comes from:<br /><div class="i1">[] 1 Public potable water system<br />[] 2 Well or chain pump<br />[] 3 Other source</div><br /></svar> <svar v="CL60A033 CL60A034" a="all"><span class="h2">3. Water Supply</span><br /><br />Verify whether the dwelling has water service provided through pipes that come from a public supply network or from a private facility.<br /><br />In cases where the dwelling doesn't have pipes for their water supply, verify if the water is hauled in.<br /><br />Mark the appropriate situation with an "X" in the corresponding box.<br /><br />Whatever the system that provides the water supply to the dwelling, be it through pipes or hauled in, the origin must also be indicated, in other words, whether it comes from a public network of pipes, from a well or a water wheel (<span class="lang">noria</span>), or from some other source (spring, river, irrigation channel, etc.)<br /><br /><span class="pg">[p. 28]</span><br /><br />A well or water wheel is a hole in the ground through which potable, subterranean water is collected. Mark an "X" in the corresponding box, depending on where the water used in the dwelling comes from.<br /><br />Note that in all cases one box should be marked under the heading "The dwelling receives water" and another under the heading "The water comes from".<br /><br />For example: in the case of a landlord's dwelling (<span class="lang">casa patronal</span>) in the middle of a rural area that has pipes for water service, with the water coming from a well, from which it is extracted by means of a pump. In this case, under the first heading box one will be checked, and under the second heading box two [will be checked].<br /><br />In the case of a squatter settlement where the dwellings don't have pipes installed, but whose residents haul the water from a faucet or tap, or spout, fed by a pipe from a public network, under the first heading box two will be checked, and under the second heading box one [will be checked].<br /></svar> Chile 1960: Households in which the head was sampled [discrepancies: type I trace; type II none] This variable indicates the water supply. 1 Piped 2 Tanked in 8 Unknown 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Water source <svar v="CL60A033 CL60A034" a="all">3. Water supply<br /><br />a) The dwelling is supplied with water:<br /><div class="i1">[] 1 By pipe<br />[] 2 By tank truck</div><br /><br />b) The water comes from:<br /><div class="i1">[] 1 Public potable water system<br />[] 2 Well or chain pump<br />[] 3 Other source</div><br /></svar> <svar v="CL60A033 CL60A034" a="all"><span class="h2">3. Water Supply</span><br /><br />Verify whether the dwelling has water service provided through pipes that come from a public supply network or from a private facility.<br /><br />In cases where the dwelling doesn't have pipes for their water supply, verify if the water is hauled in.<br /><br />Mark the appropriate situation with an "X" in the corresponding box.<br /><br />Whatever the system that provides the water supply to the dwelling, be it through pipes or hauled in, the origin must also be indicated, in other words, whether it comes from a public network of pipes, from a well or a water wheel (<span class="lang">noria</span>), or from some other source (spring, river, irrigation channel, etc.)<br /><br /><span class="pg">[p. 28]</span><br /><br />A well or water wheel is a hole in the ground through which potable, subterranean water is collected. Mark an "X" in the corresponding box, depending on where the water used in the dwelling comes from.<br /><br />Note that in all cases one box should be marked under the heading "The dwelling receives water" and another under the heading "The water comes from".<br /><br />For example: in the case of a landlord's dwelling (<span class="lang">casa patronal</span>) in the middle of a rural area that has pipes for water service, with the water coming from a well, from which it is extracted by means of a pump. In this case, under the first heading box one will be checked, and under the second heading box two [will be checked].<br /><br />In the case of a squatter settlement where the dwellings don't have pipes installed, but whose residents haul the water from a faucet or tap, or spout, fed by a pipe from a public network, under the first heading box two will be checked, and under the second heading box one [will be checked].<br /></svar> Chile 1960: Households in which the head was sampled [discrepancies: type I trace; type II none] This variable indicates the source of water. 1 Public potable water system 2 Well or chain pump 3 Other 8 Unknown 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Bath <svar v="CL60A035 CL60A036" a="all">4. Bath facilities<br /><br />a) The dwelling has an installed bath with:<br /><div class="i1">[] 1 Hot water<br />[] 2 Cold water only<br />[] 3 Doesn't have a bath</div><br /><br />b) The bath is used:<br /><div class="i1">[] 1 Exclusively by this family<br />[] 2 By two or more families</div><br /></svar> <svar v="CL60A035 CL60A036" a="all"><span class="h2">4. Bath Services</span> <br /><br />Bath services means bathing facilities, be they a shower or a bathtub. As the case may be, mark with an "X" whether the bath has hot water (box 1) or only cold water (box 2).<br /><br />In cases where no bath facilities exist, mark box 3.<br /><br />Note that a dwelling should not be considered to have bath facilities simply because it has a wash basin (<span class="lang">batea</span>) or laundry room.<br /><br />Finally, make the appropriate notation according to whether the bath facilities (bathtub or shower) are for the exclusive use of the family (box 1) or are used by more than one family (box 2).<br /></svar> Chile 1960: Households in which the head was sampled [discrepancies: type I trace; type II none] This variable indicates the availability of a bath. 1 Hot water 2 Cold water only 3 No bathroom 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Bath use <svar v="CL60A035 CL60A036" a="all">4. Bath facilities<br /><br />a) The dwelling has an installed bath with:<br /><div class="i1">[] 1 Hot water<br />[] 2 Cold water only<br />[] 3 Doesn't have a bath</div><br /><br />b) The bath is used:<br /><div class="i1">[] 1 Exclusively by this family<br />[] 2 By two or more families</div><br /></svar> <svar v="CL60A035 CL60A036" a="all"><span class="h2">4. Bath Services</span> <br /><br />Bath services means bathing facilities, be they a shower or a bathtub. As the case may be, mark with an "X" whether the bath has hot water (box 1) or only cold water (box 2).<br /><br />In cases where no bath facilities exist, mark box 3.<br /><br />Note that a dwelling should not be considered to have bath facilities simply because it has a wash basin (<span class="lang">batea</span>) or laundry room.<br /><br />Finally, make the appropriate notation according to whether the bath facilities (bathtub or shower) are for the exclusive use of the family (box 1) or are used by more than one family (box 2).<br /></svar> Chile 1960: Households in which the head was sampled [discrepancies: type I trace; type II none] This variable indicates whether the bath is for exclusively use by the household. 0 No bathroom 1 Exclusively by this household 2 Shared with two or more households 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Sewage <svar v="CL60A037 CL60A038" a="all">5. Toilet facilities<br /><br />a) System of waste removal<br /><div class="i1">[] 1 Sewer installation<br />[] 2 Septic tank<br />[] 3 Pit/latrine<br />[] 4 Drain to irrigation canal (<span class="lang">acequia</span>)<br />[] 5 Other system<br />[] 6 None</div><br /><br />b) The toilet is used:<br /><div class="i1">[] 1 Exclusively by this family<br />[] 2 By two or more families</div><br /></svar> <svar v="CL60A037 CL60A038" a="all"><span class="h2">5. Toilet Facilities</span><br /><br />Under this heading information will be collected only: a) about the system for elimination of human waste, and b) about the exclusive use, or lack thereof, of the toilet facilities (lavatory, toilet, (<span class="lang">excusados lavables</span>), etc.), generically referred to as "toilets."<br /><br />Take note of the following definitions of systems for elimination of human waste:<br /><br />a) Sewer system. This term is used when the dwelling's facilities drain into the general receptacles of the sewer system. <br /><br />b) Septic tank or well. This is used only when a sewer system isn't present. This term is used when the drain leads to a closed concrete tank, where <span class="pg">[p. 29]</span> a process of decanting and rotting takes place. These tanks drain, ultimately by overflow, into an absorption well.<br /><br />c) Pit/latrine. Or absorbent well, is a hole, without further specifications, where waste materials end up.<br /><br />The rest of the systems mentioned in the document don't need further clarification.<br /><br />Mark the appropriate response for each of the two types of information requested. <br /></svar> Chile 1960: Households in which the head was sampled [discrepancies: type I trace; type II none] This variable indicates the availability of sewage. 1 Sewer system 2 Septic tank 3 Pit/latrine 4 Drain to canal 5 Other system 6 None 8 Unknown 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Toilet use <svar v="CL60A037 CL60A038" a="all">5. Toilet facilities<br /><br />a) System of waste removal<br /><div class="i1">[] 1 Sewer installation<br />[] 2 Septic tank<br />[] 3 Pit/latrine<br />[] 4 Drain to irrigation canal (<span class="lang">acequia</span>)<br />[] 5 Other system<br />[] 6 None</div><br /><br />b) The toilet is used:<br /><div class="i1">[] 1 Exclusively by this family<br />[] 2 By two or more families</div><br /></svar> <svar v="CL60A037 CL60A038" a="all"><span class="h2">5. Toilet Facilities</span><br /><br />Under this heading information will be collected only: a) about the system for elimination of human waste, and b) about the exclusive use, or lack thereof, of the toilet facilities (lavatory, toilet, (<span class="lang">excusados lavables</span>), etc.), generically referred to as "toilets."<br /><br />Take note of the following definitions of systems for elimination of human waste:<br /><br />a) Sewer system. This term is used when the dwelling's facilities drain into the general receptacles of the sewer system. <br /><br />b) Septic tank or well. This is used only when a sewer system isn't present. This term is used when the drain leads to a closed concrete tank, where <span class="pg">[p. 29]</span> a process of decanting and rotting takes place. These tanks drain, ultimately by overflow, into an absorption well.<br /><br />c) Pit/latrine. Or absorbent well, is a hole, without further specifications, where waste materials end up.<br /><br />The rest of the systems mentioned in the document don't need further clarification.<br /><br />Mark the appropriate response for each of the two types of information requested. <br /></svar> Chile 1960: Households in which the head was sampled [discrepancies: type I trace; type II none] This variable indicates whether the toilet is exclusively used by the household. 1 No toilet service 2 Exclusively by this household 3 Shared with two or more households 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Lighting <svar v="CL60A039" a="all">6. Lighting<br /><div class="i1">[] 1 Electric<br />[] 2 Other</div><br /></svar> <svar v="CL60A039" a="all"><span class="h2">6. Lighting </span><br /><br />Note whether or not the dwelling has electric lighting, even if it has been temporarily interrupted.<br /><br />If the dwelling doesn't have electric lighting and instead uses another system of illumination, it's sufficient to put an "X" in box 2 without including any further details.<br /></svar> Chile 1960: Households in which the head was sampled [discrepancies: type I trace; type II none] This variable indicates the availability of lighting in the dwelling. 1 Electric 2 Other 8 Unknown 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Radio in dwelling <svar v="CL60A040" a="all">Does this dwelling have a radio receiver?<br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> Chile 1960: Households in which the head was sampled [discrepancies: type I trace; type II none] This variable indicates availability of a radio in the dwelling. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Cooking fuel <svar v="CL60A041" a="all">7. Cooking<br /><br />a) Fuel<br /><div class="i1">[] 1 Piped gas<br />[] 2 Liquid gas<br />[] 3 Electricity<br />[] 4 Paraffin (kerosene)<br />[] 5 Charcoal<br />[] 6 Wood<br />[] 7 Other</div><br /></svar> <svar v="CL60A041 CL60A042" a="all"><span class="h2">7. Kitchen</span><br /><br />Make a notation in the appropriate box according to the type of fuel used by the family for cooking.<br /><br />Also, take care to record in the appropriate box whether the cooking device (kerosene stove, gas stove, wood stove, etc.) is in a room where someone sleeps.<br /></svar> Chile 1960: Households in which the head was sampled [discrepancies: type I trace; type II none] This variable indicates the cooking fuel used by the household. 1 Piped gas 2 Liquid gas 3 Electric 4 Kerosene (parafin) 5 Coal 6 Firewood 7 Other 8 Unknown 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Sleep in kitchen <svar v="CL60A042" a="all">b) Is the cooking stove in a room or place where people sleep?<br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v="CL60A041 CL60A042" a="all"><span class="h2">7. Kitchen</span><br /><br />Make a notation in the appropriate box according to the type of fuel used by the family for cooking.<br /><br />Also, take care to record in the appropriate box whether the cooking device (kerosene stove, gas stove, wood stove, etc.) is in a room where someone sleeps.<br /></svar> Chile 1960: Households in which the head was sampled [discrepancies: type I trace; type II none] This variable indicates whether or not any person in the household sleeps in the kitchen. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Ownership <svar v="CL60A043" a="all">8. Tenure<br /><div class="i1">[] 1 Owner<br />[] 2 Renter or subletter<br />[] 3 Usufructuary<br />[] 4 Other</div><br /></svar> <svar v="CL60A043" a="all"><span class="h2">8. Ownership</span><br /><br />Write down how the dwelling is occupied, according to the following definitions:<br /><br />a) Owner. If the dwelling belongs to the head of the family or to one of its members that resides there.<br /><br />b) Tenant. If the family or group occupies and uses the dwelling through an agreement between the owner and the tenant, in exchange for a predetermined payment.<br /><br />c) Sublessor. If the head of the family, a member of the family that lives in the dwelling, or the group that occupies the dwelling, rented it from someone else who, in turn, rented it from the owner.<br /><br />d) Usufructuary. If the family or group that lives in a dwelling uses it with the permission of the owner, without paying rent.<br /><br />e) Other<br /><br /><span class="pg">[p. 30]</span><br /><br />Note that box 2 should be used both for "tenants" and "sublessors." <br /><br />When any other type of occupancy is specified, in these cases mark box 4.<br /><br />Make the notation according to what is indicated on the form.<br /></svar> Chile 1960: Households in which the head was sampled [discrepancies: type I trace; type II none] This variable indicates the ownership of dwelling. 1 Owner 2 Tenant or subletting 3 Usufruct 4 Other 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Number of rooms <svar v="CL60A044" a="all">9. Rooms<br /><br />____ Write the number of rooms in the dwelling, but without including the kitchen, bathroom, porches, garage, nor rooms used exclusively for commercial or industrial purposes.<br /></svar> Chile 1960: Households in which the head was sampled [discrepancies: type I trace; type II none] This variable indicates the number of rooms in the dwelling. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 20 20 22 22 23 23 27 27 30 30 53 53 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Rent <svar v="CL60A045 CL60A046" a="all">10. Monthly rent<br /><div class="i1">1. Unfurnished<br />____ $ (in pesos)<br />2. Furnished<br />____ $ (in pesos)</div><br /></svar> <svar v="CL60A045 CL60A046" a="all"><span class="h2">10. Monthly Rent</span><br /><br />The sum, in pesos, that the family pays monthly for the dwelling that they rent or sublet should be recorded in this category.<br /><br />If that sum, in pesos, is for renting an unfurnished dwelling, record it on the first dotted line; if it is for renting a furnished dwelling, record it on the second dotted line.<br /></svar> Chile 1960: Households in which the head was sampled [discrepancies: type I trace; type II none] This variable indicates the monthly rent paid by the household. 00 Less than 500 escudos 01 5.00 to 9.99 escudos 02 10.00 to 19.99 escudos 03 20.00 to 29.99 escudos 04 30.00 to 39.99 escudos 05 40.00 to 49.99 escudos 06 50.00 to 69.99 escudos 07 70.00 to 99.99 escudos 08 100.00 to 199.99 escudos 09 200.00 or more escudos 98 Unknown 99 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Unfurnished rental <svar v="CL60A045 CL60A046" a="all">10. Monthly rent<br /><div class="i1">1. Unfurnished<br />____ $ (in pesos)<br />2. Furnished<br />____ $ (in pesos)</div><br /></svar> <svar v="CL60A045 CL60A046" a="all"><span class="h2">10. Monthly Rent</span><br /><br />The sum, in pesos, that the family pays monthly for the dwelling that they rent or sublet should be recorded in this category.<br /><br />If that sum, in pesos, is for renting an unfurnished dwelling, record it on the first dotted line; if it is for renting a furnished dwelling, record it on the second dotted line.<br /></svar> Chile 1960: Households in which the head was sampled [discrepancies: type I trace; type II none] This variable indicates whether the dwelling is unfurnished when rented. 0 Undocumented 1 Unfurnished 2 Furnished 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Domestic industry <svar v="CL60A047" a="all">11. Home-based industry (family production done at home)<br />____ Write the articles produced for sale. [3 lines]<br /></svar> <svar v="CL60A047" a="all"><span class="h2">11. Domestic industry</span><br /><br />A domestic industry is one that is practiced in the dwelling, on one's own, in addition to household chores, making products for sale. Specify, according to the situation, the type or types of products produced, using the following examples as a guide: machine- or hand-woven fabrics {specifying, where possible, the types of articles woven}; jams, pastries, dress-making/tailoring, wicker baskets, farming tools, clay figurines and any other type of ceramics, etc.<br /></svar> Chile 1960: Households in which the head was sampled [discrepancies: Tyep I trace; Type II none] This variable indicates domestic industry. 1 Food and beverages 2 Textiles and clothes 3 Wood, cork, paper and cardboard 4 Metal industries 5 Ceramics and glass 6 Toys 7 Others not specified 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Number of males Chile 1960: Households in which the head was sampled [discrepancies: type I trace; type II none] This variable indicates number of males in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 20 20 70 70 98 Unknown 99 NIU (not in universe) Constructed Household Variables -- HOUSEHOLD Number of females Chile 1960: Households in which the head was sampled [discrepancies: type I trace; type II none] This variable indicates the number of females in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 20 20 50 50 98 Unknown 99 NIU (not in universe) Constructed Household Variables -- HOUSEHOLD Total number of people Chile 1960: Households in which the head was sampled [discrepancies: type I trace; type II none] This variable indicates the total number of persons in the household. 001 1 002 2 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 021 21 024 24 032 32 041 41 071 71 094 94 099 99 998 Unknown 999 NIU (not in universe) Constructed Household 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 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 Province of birth, Chile, 1960-1970; [Level 1: consistent boundaries, GIS] BPL1ALT_CL indicates the province within Chile in which the person was born. The 1960 and 1970 samples are coded into the pre-1974 geographic system of provinces GEO1ALT_CL. See BPL1_CL for a comparable variable using the modern province classification for the 1982-2002 samples. Click on the Source Variables tab for information on place of residence for each sample year. Source variables may contain more geographic unit detail but are not suitable for cross-temporal comparison. 152001 Tarapaca 152002 Antofagasta 152003 Atacama 152004 Coquimbo 152005 Aconcagua 152006 Valparaíso 152007 Santiago 152008 O'Higgins 152009 Colchagua 152010 Curicó 152011 Talca 152012 Maule 152013 Linares 152014 Ñuble 152015 Concepción 152016 Arauco 152017 Bío Bío 152018 Malleco 152019 Cautín 152020 Valdivia 152021 Osorno 152022 Llanquihue 152023 Chiloé 152024 Aysén 152025 Magallanes 152097 Foreign country 152098 Unknown Nativity and Birthplace Variables -- PERSON Religion [general version] RELIGION indicates the person's religion, including "none." 0 NIU (not in universe) 1 No religion 2 Buddhist 3 Hindu 4 Jewish 5 Muslim 6 Christian 7 Other 9 Unknown Ethnicity and Language Variables -- PERSON Religion [detailed version] RELIGION indicates the person's religion, including "none." 0000 NIU (not in universe) 1000 No religion 1001 Atheist 1002 Agnostic 1003 Without religion 2000 Buddhist 3000 Hindu 4000 Jewish 5000 Muslim 5005 Ahmadis 5006 Sunni 6000 Christian 6001 Catholic (Roman or unspecified) 6002 Orthodox 6003 Protestant 6004 Evangelical protestant 6005 Pentecostal 6006 Adventist / Seventh-day adventist 6007 Anglican 6008 Assembly of God 6009 Baptist 6010 Church of the Nazarene 6011 Congregational 6012 Dutch Reformed 6013 Episcopalian 6014 Jehovah's Witnesses 6015 Latter Day Saints (Mormon) 6016 Lutheran 6017 Mennonite 6018 Methodist 6019 New Apostolic 6020 Presbyterian 6021 Zion Christian 6022 Moravian 6090 Other Christian, historical 6100 Other Christian, Armenia 6101 Armenia apostolic 6102 Nestorian 6103 Molokai 6104 Other Christian, Austria 6105 Old Catholic 6106 Protestant, Augsburg confession 6107 Protestant, Westminster confession 6108 Protestant, Helvetic confession 6109 Greek Oriental 6110 Armenian Apostolic 6111 Other Protestant 6112 Christian Community for renewal 6113 Christian Community, not specified 6114 Other Christian, Benin 6115 Other Christian 6116 Celestial 6117 Other Christian, Brazil 6118 Christian Congregation of Brazil 6119 Brazilian Catholic Apostolic 6120 Brazil for Christ 6121 Foursquare Gospel 6122 Universal of the Kingdom of God 6123 House of the Blessing 6124 House of Prayer 6125 God is Love 6126 Maranata 6127 Other Christian, Brazil 1991 6128 Undetermined Protestant 6129 Other traditional Protestant 6130 Neo-Christian 6131 Other Neo-Christian 6132 Undetermined Christian 6133 Other Christian, Brazil 2000 6134 Other Catholic 6135 Renewed Evangelical Protestant without institutional ties 6136 Pentecostal Evangelical without institutional ties 6137 New Life Evangelical Protestant Pentecostal 6138 Evangelical Protestant Biblical Revival Pentecostal 6139 Chain Of Prayer Pentecostal 6140 Undetermined Evangelical Protestant 6141 Religion Of God 6142 Christian without institutional ties 6143 Other Christian, Brazil 2010 6144 Salvation Army 6145 Other Christian, Canada 6146 Other Catholic 6147 United Church 6148 Protestant, not specified 6149 Other Protestant 6150 Other Christian, Cameroon 6151 Other Christian, Fiji 6152 Christian undefined 6153 Church of England 6154 Gospel Hall and Brethern 6155 Christian Mission Fellowship (CMF) or Every Home 6156 Salvation Army 6157 All Nations Christian Fellowship 6158 Apostles Gospel Outreach Fellowship 6159 Christian Outreach Centre 6160 Other Christian 6161 Other Christian, Germany 6162 Oriental Christian 6163 Other Christian, Ghana 6164 Other Christian, Iran 6165 Assyrian or Chaldean 6166 Armenian 6167 Other Christians 6168 Other Christian, Indonesia 6169 Other Christian 6170 Protestant/Other Christian 6171 Other Christian, Ireland 6172 Church of Ireland 6173 Church of Scotland 6174 Independent 6175 Unitarian 6176 Salvation Army 6177 Free Church 6178 Brethren 6179 Christian Brethren 6180 Plymouth Brethren 6181 Quaker 6182 Other Christians 6183 Other Christian, Ivory Coast 6184 Other Christian, Jamaica 6185 Brethren 6186 Church of God 6187 Church of God of Prophecy 6188 Other Church of God 6189 United Church 6190 Salvation Army 6191 New Testament 6192 Disciples of Christ 6193 Other Christian, Mauritius 6194 Christian Tamil 6195 Salvation and Healing Mission 6196 Voice of Deliverance 6197 Other Christian 6198 Other Christian, Mexico 6199 Anabaptist 6200 Calvinist 6201 Cuaquera 6202 Disciples of Christ 6203 Christian Friendship Church 6204 Prayer House Church 6205 Faith Center 6206 Agape Force Church 6207 Alpha and Omega Church 6208 Living Water Church 6209 Apostolic Church 6210 Church of God 6211 Church of God of Prophecy 6212 Complete Gospel Church 6213 Evangelical Siblings Church 6214 Upper Room Church 6215 Pentecostal Indigenous Church 6216 Angular Stone Voice Church 6217 Pentecostal Missionary 6218 Christian 6219 Christian Societies 6220 Evangelical 6221 Evangelical Societies 6222 New Testament Evangelical 6223 Pentecostal 6224 Pentecostal Societies 6225 Independent Pentecostal 6226 Evangelical Christian Societies 6227 Pentecostal Christian Societies 6228 Evangelical Pentecostal Societies 6229 Evangelical Pentecostal Christian Societies 6230 Soldiers of Christ's Cross Church 6231 Tabernacle 6232 Traditionalists 6233 Other Evangelical Pentecostal Societies 6234 Pentecostal not clearly specified 6235 Living God, Light of the World 6236 Christian and Missionary Alliance 6237 Non-Pentecostal Apostolic 6238 Evangelical Associations 6239 Biblical 6240 Confraternities 6241 Christ Church 6242 Peace Grace and Misericordia Church 6243 Open Bible Church 6244 Holiness Church 6245 Evangelical Salem Church 6246 Beautiful Woman Dressed in the Sun 6247 Messianic Church 6248 Evangelical Ministers 6249 Evangelical Missionaries 6250 Evangelical Movements 6251 New Jerusalem 6252 World Vision Church 6253 Evangelical not clearly specified 6254 Biblical - non-evangelicals 6255 Other Christians not clearly specified 6256 Assumptionist 6257 Carmelite 6258 Claretian 6259 Conception Franciscan 6260 Maronite Diocese of Mexico 6261 Dominican 6262 Servants of Mary Immaculate 6263 Franciscan 6264 Guadalupan 6265 Daughters of the Immaculate Conception 6266 Jesuit 6267 Legionaries of Christ 6268 Divine Word Missionary 6269 Pauline 6270 Sacred Heart 6271 Saint Joseph of Tarbes 6272 Servant of the Lord and the Virgin 6273 Servant of Jesus 6274 Greek Catholic Church 6275 Reformed Roman Catholic Church 6276 Mexican National Catholic Church 6277 Tridentine Latin Rite Catholic Church 6278 Priestly Society Trento 6279 Mexican Catholic Union of Trento 6280 Anabaptist / Memnonite 6281 Anglican / Episcopal 6282 House of Prayer 6283 Center of Faith, Hope and Love of the Missionary Revival Crusade 6284 Center of Faith, Hope and Love Agape Force 6285 Salvation Army 6286 Independent Pentecostal Fellowship 6287 Upper Chamber Church 6288 Faith Apostolic Church of Jesus Christ 6289 Spiritual Christian Church 6290 Pentecostal Evangelical Christian Church 6291 Interdenominational Christian Church 6292 Church of God Full Gospel in Mexico 6293 Church of Jesus Christ on the Rock 6294 Christ Evangelical Pentecostal Church Rock of my Salvation 6295 Mexican Church of Christ's Gospel Pentecost 6296 United Pentecostal Church of Mexico 6297 Universal Church of the Kingdom of God 6298 Only Christ Savior Christian Church 6299 Independent Evangelical Pentecostal Movement 6300 Prince of Peace 6301 National Union of Evangelical Christian Churches (UNICE) 6302 Union of Independent Evangelical Churches 6303 Other associations Pentecostal 6304 Church of the Living God, Pillar and Support of Truth, the Light of the World 6305 Bible Church 6306 Interdenominational Christian Church in Mexico 6307 Church of Christ 6308 Honey Church of Christ 6309 Independent Evangelical Church in Mexico 6310 Renewed Church of Jesus Christ and the Apostles of Divine Love 6311 Other Christian and Evangelical associations without Pentecostal support 6312 Faith Christian Church 6313 Traditional Apostolic Catholic Holy Church Mexico-USA 6314 Mexican Apostolic Catholic Church 6315 Elias 6316 Spiritualistic 6317 Spiritualist 6318 Marian Trinitarian Spirituality 6319 Spirituality of the Third Age 6320 Christian Spiritual 6321 Judiciary Society Reign of Leonardo Alcalá Leos 6322 Spirituality for the Divine Master and the purity of Mary 6323 Light and Hope 6324 Holy Spirit, Purity, Love and Light 6325 Christian Science 6326 Neo-Israelite Jewish Syncretic Movements 6327 Other Christian, Netherlands 6328 Reformed Churches in The Netherlands 6329 Other Reformed 6330 Other Christian, Papua New Guinea 6331 Asian Pacific Christian Mission 6332 Asutalian Church 6333 Bamu River Mission 6334 Christian Brethren Church of PNG 6335 Christian Mission of Many Lands 6336 Christian Revival Crusade 6337 Christain Union Mission 6338 Church of Christ of PNG 6339 Faith mission 6340 Four Square Gospel Mission 6341 Kwato Church 6342 Life Center 6343 Lighthouse church 6344 New Guinea Gospel Mission 6345 New Life Mission 6346 New tribes Mission 6347 Paliau Christian Native Church 6348 Rhema Fellowship 6349 Salvation Army 6350 Sovereign Grace 6351 United Church 6352 Wewak Fellowship 6353 Western Highland 6354 Independent 6355 Plymouth Brethern 6356 Tiliba Mission 6357 Tokarara Christian Fellowship 6358 Village Mission 6359 Other Christian 6360 Other Christian, Paraguay 6361 Christian Community 6362 Free Brothers 6363 Church of God 6364 Church of God of Prophecy 6365 New testament 6366 God is love 6367 Universal Church of the Kingdom of God 6368 People of God 6369 Family worship center 6370 Pseudo-Christian groups 6371 Other Christian, Philippines 6372 Aglipay 6373 Bible Christian Committees 6374 Born-again Christian 6375 Bread of Life Ministries 6376 Cathedral of Praise, Incorporated 6377 Charismatic Full Gospel Ministries 6378 Christ the Living Stone Fellowship 6379 Christian and Missionary Alliance 6380 Christians Missions 6381 Christian Reformed Church in the Philippines, Incorporated 6382 Church of Christ 6383 Crusaders of the Divine Church of Christ, Incorporated 6384 Evangelical Christian Outreach Foundation 6385 Evangelical Free Church 6386 Filipino Assemblies of the First Born Inc. 6387 Foursquare Gospel 6388 Free Believers in Christ Fellowship 6389 Free Mission in the Philippines Inc. 6390 God World Mission 6391 Good News Christian Churches 6392 IEMELIF Reform Movement 6393 Iglesia Evangelista Methodista en Las 6394 Iglesia Evangelica Unida de Cristo 6395 Iglesia ni Cristo 6396 Iglesia sa Dios Espiritu Santo, Incorporated 6397 Jesus Christ Saves Global Outreach 6398 Jesus is Alive Community, Incorporated 6399 Jesus is Lord Church 6400 Jesus Reigns Ministries 6401 Love of Christ International Ministries 6402 Other Evangelical 6403 Other Evangelical Church 6404 Other Protestants 6405 Philippine Ecumenical Christian Church 6406 Philippine Evangelical Mission 6407 Philippine Grace Gospel Fellowship 6408 Philippines Benevolent Missionaries 6409 Philippines General Council of the Assemblies of God 6410 Potter's House Christian Center 6411 Salvation Army Philippines 6412 Take the Nation for Jesus Global Ministries (Corpus Christi) 6413 UNIDA Evangelical Church 6414 Union Espiritista Cristiana de Filipinas, Incorporated 6415 United Church of Christ in the Philippines 6416 United Evangelical Church of the Philippines (Chinese) 6417 Victory Chapel Christian Fellowship 6418 Wesleyan Church 6419 World Missionary Evangelism 6420 Worldwide Church of God 6421 Zion Christian Community Church 6422 Other Christian, Portugal 6423 Other Christian, Romania 6424 Greek Catholic 6425 Reformed Church 6426 Evangelic of Augustan Confession 6427 Evangelic Synodo-Presbyterian 6428 Christian of Old Rite 6429 Christian by Gospel 6430 Evangelic 6431 Other Christian, Rwanda 2002 6432 Other Christian, Sierra Leone 6433 Other Christian, Slovak Republic 6434 Old Catholic 6435 Greek Catholic 6436 Christian Reformed 6437 Other Christian, South Africa 6438 Reformed 6439 International Fellowship of Christian Churches 6440 Apostolic Faith Mission of SA 6441 Other Apostolic Churches 6442 Pinkster Protestant Church 6443 Afrikaanse Protestant Church 6444 Full Gospel Church of God in Southern Africa 6445 Pentecostal Churches 6446 Salvation Army 6447 Bandla Lama Nazaretha 6448 African Methodist Episcopal Church 6449 St John's Apostolic Church 6450 International Pentecost Church 6451 Ethiopian type churches 6452 Ethnic churches 6453 Other African Independent Churches 6454 Other Christian Churches 6455 Other Catholic Churches 6456 Other Pentecostal Churches 6457 Other Orthodox Churches 6458 Other African Apostolic churches 6459 Other Assemblies 6460 Christian Scientist 6461 Christian Centres 6462 Other Evangelical Churches 6463 Other Charismatic Churches 6464 Just a Christian or non-denominational 6465 Other 6466 Other Christian, Suriname 6467 Other Christian 6468 Other Christian, Saint Lucia 6469 Church of God 6470 Other Christian, Senegal 6471 Other Christian 6472 Other Christian, Switzerland 6473 Other protestant churches and communities 6474 Christ-Catholic church 6475 Other Christian communities 6476 Other Christian, Trinidad and Tobago 6477 Church of God 6478 African Methodist Espiscopalians 6479 Brethren, Christian or Plymouth 6480 Church of Christ 6481 Gospel Hall or Gospel Missionary 6482 Nazarenes 6483 Pilgrim Holiness 6484 Ethiopian Orthodox 6485 Open Bible Church 6486 Assemblies of Yahweh 6487 Evangelical Church of West Indies 6488 Christadelphian 6489 Full Gospel Fellowship 6490 Dutch Reform 6491 Christian Brotherhood Assembly 6492 Other Christian, Uganda 6493 Other Christian 6494 Salvation Army 6495 Other Christian non-Catholic, Uruguay 6496 Other Christian non-Catholic, Guatemala 6497 Other Christian, Togo 7000 Other 7001 Bahai 7002 Sikh 7003 Rastafarian 7100 Other, Armenia 7101 Pagan 7102 Shar-fadinian 7103 Other, Austria 7104 Unification Church, Austria 7105 Other, Benin 7106 Traditional 7107 Vodoun 7108 Other, Botswana 7109 Badimo 7110 Other, Brazil 7111 Spiritist 7112 Kardecist Spiritist 7113 Afro Spiritist 7114 Mediumistic Spiritist 7115 Umbandist Mediumistic 7116 Candomblecist Mediumistic 7117 Other Afro-Brazilian 7118 Oriental, Brazil 7119 New Oriental 7120 Oriental Seicho No-le 7121 Other Oriental, Brazil 7122 Esoteric, Brazil 7123 Indigenous, Brazil 7124 Other minority groups, Brazil 7125 Other, Burkina Faso 7126 Animist 7127 Other, Cameroon 7128 Animist 7129 Other, Canada 7130 Eastern religions, Canada 7131 Other, Chile 7132 Theosophism 7133 Shintoism 7134 Other, Ethiopia 7135 Traditional 7136 Other, Ethiopia 7137 Other, Fiji 7138 Confucian 7139 Kabir Panthi 7140 Satya Sai Baba 7141 Bahai 7142 Other non-Christian, Fiji 7143 Other, Germany 7144 Other, Germany 7145 Other, Ghana 7146 Traditional, Ghana 7147 Other, Guinea 7148 Animist 7149 Other, Guinea 7150 Other, Haiti 7151 Voodoo 7152 Other, India 7153 Jainism 7154 Zoroastrianism 7155 Other, India 7156 Other, Indonesia 7157 Confucianism 7158 Other, Indonesia 7159 Other, Iran 7160 Zoroastrian 7161 Other, Iran 7162 Other, Ivory Coast 7163 Animist 7164 Harrist 7165 Other, Jamaica 7166 Muslim/Hindu 7167 Other, Israel 7168 Druse 7169 Other, Israel 7170 Other, Laos 7171 Animist 7172 Other, Liberia 7173 Traditional 7174 Other, Malaysia 7175 Confucianism/Taoism 7176 Tribal/Folk religion, Malaysia 7177 Other, Mali 7178 Animist 7179 Other, Mexico 7180 Brahmanism 7181 Hare Krishna 7182 Shintoism 7183 Taoism 7184 Mexican Movements 7185 Ananda Marga 7186 Church of Scientology 7187 Masons 7188 Raelian Movement 7189 New Age Movement 7190 Neoisraelites 7191 Occultists 7192 Palmar of Troya 7193 Rose Cross 7194 Theosophism 7195 Spiritualist Special Keys 7196 Onkaranada Center 7197 Confucianism 7198 Shia 7199 Universal Great Brotherhood 7200 Esoteric Science 7201 Gnosticism 7202 Metaphysics 7203 Wicca 7204 Shamanism 7205 The Custom 7206 Mexicayotl 7207 Restorative Confederate Movement of Anahuac Culture 7208 African Origin 7209 Indigenous Religions 7210 Growing in Grace 7211 Eckankar 7212 Transcendental Meditation 7213 Mission Branch 7214 Children of God 7215 Sri Sathya Sai Baba 7216 Other religions from Asia 7217 Ethnic roots 7218 Afro roots 7219 Popular cults 7220 Other new religious movements 7221 Other, Nepal 7222 Kirat 7223 Jain 7224 Garaute 7225 Tap jura 7226 Bon 7227 Prakriti 7228 Other, Nigeria 7229 Traditional 7230 Other, Pakistan 7231 Ahmadi 7232 Parsi 7233 Scheduled caste 7234 Other, Paraguay 7235 Philosophical revelations 7236 Indigenous religion 7237 Reyukai 7238 Other, Paraguay 7239 Other, Philippines 7240 Door of Faith 7241 Faith Tabernacle Church (Living Rock Ministries) 7242 Iglesia Filipina Independiente 7243 International One Way Outreach 7244 Miracle Life Fellowship International 7245 Miracle Revival Church of the Philippines 7246 Philippine Good News Ministries 7247 Philippine Missionary fellowship 7248 Things to Come 7249 Way of Salvation 7250 Word of the World 7251 Word International Ministries 7252 Tribal Religions, Philippines 7253 Other, Romania 7254 Unitarian 7255 Armenian 7256 Mosaic 7257 Other, Romania 7258 Other, Rwanda 7259 Traditional religion, Rwanda 7260 Other, Rwanda 7261 Other, Sierra Leone 7262 Traditional religion, Sierra Leone 7263 Other, South Africa 7264 African traditional belief 7265 Taoist 7266 Confucian 7267 New Age 7268 Winti 7269 Javanism 7270 Other non-Christian, S. Africa 7271 Other, Suriname 7272 Javanism 7273 Traditional 7274 Winti 7275 Other, Thailand 7276 Confucian 7277 Other, Trinidad and Tobago 7278 Pocamania or Shango 7279 Orisha 7280 Other, Uganda 7281 Traditional religion 7282 Mammon 7283 Other non-Christian, Uganda 7284 Other, United Kindom 7285 Other, Uruguay 7286 Umbanda/other Afro-American 7287 Other, Uruguay 7288 Other, Vietnam 7289 Cao Dai 7290 Cham Brahmin 7296 Other, Togo 7297 Animist 7900 Other, not elsewhere classified 9999 Unknown Ethnicity and Language 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, Chile EDUCCL indicates the person's educational attainment in Chile in terms of the level of schooling completed and the number of years completed at that level. 000 None 100 Preschool/Kindergarten 110 Nursery 120 Pre-kindergarten 200 Primary/Basic 210 Primary (old system) 211 Primary, 1 year 212 Primary, 2 years 213 Primary, 3 years 214 Primary, 4 years 215 Primary, 5 years 216 Primary, 6 years 219 Primary, unknown years 220 Basic (new system) 221 Basic, 1 year 222 Basic, 2 years 223 Basic, 3 years 224 Basic, 4 years 225 Basic, 5 years 226 Basic, 6 years 227 Basic, 7 years 228 Basic, 8 years 229 Basic, unknown years 300 Secondary/Middle 310 Common secondary (old system) 311 Common secondary, 1 year 312 Common secondary, 2 years 313 Common secondary, 3 years 314 Common secondary, 4 years 315 Common secondary, 5 years 316 Common secondary, 6 years 317 Common secondary, 7+ years and unknown 320 Commercial secondary (old system) 321 Commercial secondary, 1 year 322 Commercial secondary, 2 years 323 Commercial secondary, 3 years 324 Commercial secondary, 4 years 325 Commercial secondary, 5 years 326 Commercial secondary, 6 years 327 Commercial secondary, 7+ years and unknown 330 Women's technical secondary (old system) 331 Women's technical secondary, 1 year 332 Women's technical secondary, 2 years 333 Women's technical secondary, 3 years 334 Women's technical secondary, 4 years 335 Women's technical secondary, 5 years 336 Women's technical secondary, 6 years 339 Women's technical secondary, unknown years 340 Agricultural secondary (old system) 341 Agricultural secondary, 1 year 342 Agricultural secondary, 2 years 343 Agricultural secondary, 3 years 344 Agricultural secondary, 4 years 345 Agricultural secondary, 5 years 346 Agricultural secondary, 6 years 347 Agricultural secondary, 7+ years and unknown 350 Navy secondary (old system) 351 Navy secondary, 1 year 352 Navy secondary, 2 years 353 Navy secondary, 3 years 354 Navy secondary, 4 years 355 Navy secondary, 5 years 360 Industrial secondary (old system) 361 Industrial secondary, 1 year 362 Industrial secondary, 2 years 363 Industrial secondary, 3 years 364 Industrial secondary, 4 years 365 Industrial secondary, 5 years 366 Industrial secondary, 6 years 367 Year 7 369 Industrial secondary, unknown years 370 Craftsman, mining, and other secondary (old system) 371 Craftsman and other secondary, 1 year 372 Craftsman and other secondary, 2 years 373 Craftsman and other secondary, 3 years 374 Craftsman and other secondary, 4 years 375 Craftsman and other secondary, 5 years 376 Craftsman and other secondary, 6 years 379 Craftsman and other secondary, unknown years 380 Teaching training secondary (old system) 381 Teacher training secondary, 1 year 382 Teacher training secondary, 2 years 383 Teacher training secondary, 3 years 384 Teacher training secondary, 4 years 385 Teacher training secondary, 5 years 386 Teacher training secondary, 6 years 387 Teacher training secondary, 7+ years and unknown 390 Middle (new system) 391 Middle, 1 year 392 Middle, 2 years 393 Middle, 3 years 394 Middle, 4 years 399 Middle, unknown years 400 Vocational (new system) 401 Year 1 402 Year 2 403 Year 3 404 Year 4 405 Year 5 409 Year unknown 500 Post-secondary 510 Professional institute 511 Professional institute, 1 year 512 Professional institute, 2 years 513 Professional institute, 3 years 514 Professional institute, 4 years 515 Professional institute, 5 years 520 Centers of technical education 521 Center of technical education, 1 year 522 Center of technical education, 2 years 523 Center of technical education, 3 years 524 Center of technical education, 4 years 529 Year unknown 530 University 531 University, 1 year 532 University, 2 years 533 University, 3 years 534 University, 4 years 535 University, 5 years 536 University, 6 years 537 University, 7 years 538 University, 8 years 539 University, unknown years 540 Master's 541 Master, 1 year 542 Master, 2 years 543 Master, 3 years 549 Master, unknown years 550 Ph.D 551 PhD, 1 year 552 PhD, 2 years 553 PhD, 3 years 554 PhD, 4 years 559 PhD, unknown years 600 Other 610 Year 0 611 Special education, 1 year 612 Special education, 2 years 613 Special education, 3 years 614 Special education, 4 years 615 Special education, 5 years 616 Special education, 6 years 617 Special education, 7 years 618 Special education, 8 years 619 Year unknown 998 Unknown 999 NIU (not in universe) Education Variables -- PERSON Activity status (employment status) [general version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 0 NIU (not in universe) 1 Employed 2 Unemployed 3 Inactive 9 Unknown/missing Work Variables -- PERSON Activity status (employment status) [detailed version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 000 NIU (not in universe) 100 Employed, not specified 110 At work 111 At work, and 'student' 112 At work, and 'housework' 113 At work, and 'seeking work' 114 At work, and 'retired' 115 At work, and 'no work' 116 At work, and other situation 117 At work, family holding, not specified 118 At work, family holding, not agricultural 119 At work, family holding, agricultural 120 Have job, not at work in reference period 130 Armed forces 131 Armed forces, at work 132 Armed forces, not at work in reference period 133 Military trainee 140 Marginally employed 200 Unemployed, not specified 201 Unemployed 6 or more months 202 Worked fewer than 6 months, permanent job 203 Worked fewer than 6 months, temporary job 210 Unemployed, experienced worker 220 Unemployed, new worker 230 No work available 240 Inactive unemployed 300 Inactive (not in labor force) 301 Unavailable jobseekers 302 Available potential jobseekers 310 Housework 320 Health reasons, unable to work, or disabled 321 Permanent disability 322 Temporary illness 323 Disabled or imprisoned 330 In school 340 Retirees and living on rent 341 Living on rents 342 Living on rents or pension 343 Retirees/pensioners 344 Retired 345 Pensioner 346 Non-retirement pension 347 Disability pension 348 Retired without benefits 350 Elderly 351 Elderly or disabled 360 Institutionalized 361 Prisoner 370 Intermittent worker 371 Not working, seasonal worker 372 Not working, occasional worker 380 Other income recipient 390 Inactive, other reasons 391 Too young to work 392 Dependent 999 Unknown/missing Work Variables -- PERSON Labor force participation LABFORCE is a dichotomous variable identifying whether a person participated in the labor force. Labor force participation generally means working or seeking work within a specified reference period. For most samples LABFORCE is a recode of EMPSTAT (employment status). A consistent lower age universe of 15 or older has been applied to increase comparability across samples. Full detail is retained in EMPSTAT, which should be used for any study of child labor. 1 No, not in the labor force 2 Yes, in the labor force 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Occupation, ISCO general OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money. 01 Legislators, senior officials and managers 02 Professionals 03 Technicians and associate professionals 04 Clerks 05 Service workers and shop and market sales 06 Skilled agricultural and fishery workers 07 Crafts and related trades workers 08 Plant and machine operators and assemblers 09 Elementary occupations 10 Armed forces 11 Other occupations, unspecified or n.e.c. 97 Response suppressed 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Occupation, unrecoded OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census. To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses. OCC is a 4-digit numeric variable. Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Argentina 1970 - see Variable: AR1970A_OCC3 - Occupation [3 digit] Argentina 1980 - see Variable: AR1980A_OCC - Occupation Argentina 1991 - see Variable: AR1991A_OCC - Occupation Argentina 2001 - see Variable: AR2001A_OCC4 - Occupation (4-digits) Armenia 2011 - see Variable: AM2011A_OCC - Occupation Austria 1971 - see Variable: AT1971A_OCCSM - Occupation of supporter: sub-major groups Austria 1981 - see Variable: AT1981A_OCCSM - Occupation of supporter: sub-major groups Austria 1991 - see Variable: AT1991A_OCCSM - Occupation of supporter: sub-major groups Austria 2001 - see Variable: AT2001A_OCCSM - Occupation of supporter: sub-major groups Belarus 1999 - see Variable: BY1999A_OCC2 - Occupation, 2 digits Belarus 2009 - see Variable: BY2009A_OCC - Occupation Benin 1979 - see Variable: BJ1979A_OCC - Occupation (2-digits) Benin 1992 - see Variable: BJ1992A_OCC3 - Occupation (3-digits) Benin 2002 - see Variable: BJ2002A_OCC - Occupation (3-digits) Benin 2013 - see Variable: BJ2013A_OCC - Occupation (3-digit) Bolivia 1976 - see Variable: BO1976A_OCC2 - Occupation, 2 digits Bolivia 1992 - see Variable: BO1992A_OCC - Occupation Bolivia 2001 - see Variable: BO2001A_OCC - Occupation, 3 digits Bolivia 2012 - see Variable: BO2012A_OCC2 - Occupation (3 digit) Botswana 1981 - see Variable: BW1981A_OCC - Occupation Botswana 1991 - see Variable: BW1991A_OCC - Occupation (last 30 days) Botswana 2001 - see Variable: BW2001A_OCC - Occupation in the past 7 days, 3 digit Botswana 2011 - see Variable: BW2011A_OCC - Occupation, 3-digits Brazil 1960 - see Variable: BR1960A_USUALOCC - Usual occupation Brazil 1970 - see Variable: BR1970A_MAINOCC - Principal occupation Brazil 1980 - see Variable: BR1980A_OCC - Occupation Brazil 1991 - see Variable: BR1991A_OCC - Occupation Brazil 2000 - see Variable: BR2000A_OCC - Occupation, 4 digits Brazil 2010 - see Variable: BR2010A_OCC - Occupation held from July 25 to July 31, 2010 Burkina Faso 1985 - see Variable: BF1985A_OCC - Principal occupation Burkina Faso 1996 - see Variable: BF1996A_OCC - Principal occupation Cambodia 1998 - see Variable: KH1998A_OCC - Occupation Cambodia 2004 - see Variable: KH2004A_OCC3 - Occupation (3-digits) Cambodia 2008 - see Variable: KH2008A_OCC - Occupation Cambodia 2013 - see Variable: KH2013A_OCC - Occupation (3-digits) Cambodia 2019 - see Variable: KH2019A_OCC1 - Occupation, 1-digit Cameroon 1976 - see Variable: CM1976A_OCC2 - Occupation (2 digits) Cameroon 2005 - see Variable: CM2005A_OCC - Occupation Canada 1971 - see Variable: CA1971A_OCC - Occupation Canada 1981 - see Variable: CA1981A_OCC - Occupation (1981 classification basis) Canada 1991 - see Variable: CA1991A_OCC80 - Occupation (1980 classification basis) Canada 2001 - see Variable: CA2001A_NOCS01P - Occupation (2001 national occupational classification for statistics) Canada 2011 - see Variable: CA2011A_OCC - Occupation Chile 1960 - see Variable: CL1960A_OCC - Occupation Chile 1970 - see Variable: CL1970A_OCC3 - Occupation (3-digit) Chile 1982 - see Variable: CL1982A_OCC3 - Occupation (3-digit) Chile 1992 - see Variable: CL1992A_OCC3 - Occupation (3-digit) Chile 2002 - see Variable: CL2002A_OCC - Occupation China 1982 - see Variable: CN1982A_OCC - Occupation China 1990 - see Variable: CN1990A_OCC - Occupation China 2000 - see Variable: CN2000A_OCC - Occupation (2-digit) Colombia 1964 - see Variable: CO1964A_OCC2 - Occupation (COTA, 4 digits) Colombia 1973 - see Variable: CO1973A_OCC - Occupation last week Costa Rica 1973 - see Variable: CR1973A_OCC3 - Occupation, 3 digits Costa Rica 1984 - see Variable: CR1984A_OCC - Occupation, 3 digits Costa Rica 2000 - see Variable: CR2000A_OCC3 - Occupation, 3 digits Costa Rica 2011 - see Variable: CR2011A_OCC - Occupation, 2-digit Cuba 2002 - see Variable: CU2002A_OCC - Occupation Cuba 2012 - see Variable: CU2012A_OCC3 - Main occupation (3-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_OCC2 - Current occupation (2-digit) Dominican Republic 1960 - see Variable: DO1960A_OCC - Occupation Dominican Republic 1970 - see Variable: DO1970A_OCC1 - Current occupation, 3 digits Dominican Republic 1981 - see Variable: DO1981A_OCC - Occupation Dominican Republic 2002 - see Variable: DO2002A_OCC - Occupation Dominican Republic 2010 - see Variable: DO2010A_OCC - Occupation Ecuador 1962 - see Variable: EC1962A_OCC - Occupation Ecuador 1974 - see Variable: EC1974A_OCC3 - Occupation, three digits Ecuador 1982 - see Variable: EC1982A_OCC3 - Occupation, 3 digits Ecuador 1990 - see Variable: EC1990A_OCC3 - Occupation, 3 digits Ecuador 2001 - see Variable: EC2001A_OCC - Occupation, 3 digits Ecuador 2010 - see Variable: EC2010A_OCC3 - Occupation (3 digits, ISCO 08) Egypt 1986 - see Variable: EG1986A_OCC3 - Occupation (3-digit) Egypt 2006 - see Variable: EG2006A_OCC - Primary occupation, 3-digit El Salvador 1992 - see Variable: SV1992A_OCC - Occupation (3-digit) El Salvador 2007 - see Variable: SV2007A_OCC3DIG - Occupation (3-digit) Ethiopia 1984 - see Variable: ET1984A_OCC2 - Occupation (2-digit) Ethiopia 1994 - see Variable: ET1994A_OCC - Occupation Fiji 1976 - see Variable: FJ1976A_OCC - Occupation Fiji 1986 - see Variable: FJ1986A_OCC - Occupation Fiji 1996 - see Variable: FJ1996A_OCC3 - Occupation (3 digits) Fiji 2007 - see Variable: FJ2007A_OCC3 - Occupation, 3 digits Fiji 2014 - see Variable: FJ2014A_OCC3 - Occupation (3 digits) Finland 2010 - see Variable: FI2010A_OCC - Occupation France 1962 - see Variable: FR1962A_SOCCUP - SAPHIR occupation France 1968 - see Variable: FR1968A_SOCC - SAPHIR occupation France 1975 - see Variable: FR1975A_SOCC - SAPHIR occupation France 1982 - see Variable: FR1982A_SOCC - SAPHIR occupation France 1990 - see Variable: FR1990A_SOCC - Saphir occupation France 1999 - see Variable: FR1999A_OCC - Occupation, ISCO France 2006 - see Variable: FR2006A_PROF486 - Detailed profession (4-digit) France 2011 - see Variable: FR2011A_PROF - Profession, 486 categories Germany 1970 - see Variable: DE1970A_OCC - Occupation Germany 1981 - see Variable: DE1981A_OCC - Occupation Germany 1987 - see Variable: DE1987A_OCC - Occupation Ghana 1984 - see Variable: GH1984A_OCC2 - Occupation, 2 digits Ghana 2000 - see Variable: GH2000A_OCC - Occupation Ghana 2010 - see Variable: GH2010A_OCC - Occupation (major groups) Greece 1971 - see Variable: GR1971A_OCC - Occupation Greece 1981 - see Variable: GR1981A_OCC - Occupation Greece 1991 - see Variable: GR1991A_OCC - Occupation Greece 2001 - see Variable: GR2001A_OCC - Occupation Greece 2011 - see Variable: GR2011A_OCC - Occupation Guatemala 1964 - see Variable: GT1964A_OCC3 - Occupation (3-digits) Guatemala 1973 - see Variable: GT1973A_OCC3 - Principal occupation (3-digits) Guatemala 1981 - see Variable: GT1981A_OCC3 - Principal occupation (3-digits) Guatemala 1994 - see Variable: GT1994A_OCC - Principal occupation (1-digit) Guatemala 2002 - see Variable: GT2002A_OCC3 - Principal occupation (3-digits) Guinea 1983 - see Variable: GN1983A_OCC2 - Occupation, 2 digits Guinea 1996 - see Variable: GN1996A_OCC - Occupation Guinea 2014 - see Variable: GN2014A_OCC - Occupation (3-digit) Haiti 1982 - see Variable: HT1982A_OCC - Main occupation or profession Haiti 2003 - see Variable: HT2003A_OCC2 - Occupation, 3 digits Honduras 1961 - see Variable: HN1961A_OCC - Occupation (2-digits) Honduras 1974 - see Variable: HN1974A_OCC2 - Occupation (3-digits) Honduras 1988 - see Variable: HN1988A_OCC4 - Occupation (4-digits) Honduras 2001 - see Variable: HN2001A_OCC - Occupation (4-digit) Honduras 2013 - see Variable: HN2013A_OCC3 - Occupation (3-digit) Hungary 1970 - see Variable: HU1970A_OCC - Occupation Hungary 1980 - see Variable: HU1980A_OCC - Occupation, scope of activity Hungary 1990 - see Variable: HU1990A_OCC - Occupation Hungary 2001 - see Variable: HU2001A_OCC - Occupation Hungary 2011 - see Variable: HU2011A_OCC - Occupation Indonesia 1971 - see Variable: ID1971A_OCC - Occupation Indonesia 1976 - see Variable: ID1976A_OCC - Primary occupation during past week Indonesia 1980 - see Variable: ID1980A_OCC - Primary occupation during the previous week (3 digit version) Indonesia 1985 - see Variable: ID1985A_OCC - Primary occupation Indonesia 1990 - see Variable: ID1990A_OCC - Main occupation last week Indonesia 1995 - see Variable: ID1995A_OCC - Occupation Indonesia 2005 - see Variable: ID2005A_OCC - Occupation Iran 2006 - see Variable: IR2006A_OCC4 - Occupation Iran 2011 - see Variable: IR2011A_OCC - Occupation (3-digit) Iraq 1997 - see Variable: IQ1997A_OCC - Occupation Ireland 1971 - see Variable: IE1971A_OCC - Occupation Ireland 1981 - see Variable: IE1981A_OCC - Occupation Ireland 1986 - see Variable: IE1986A_OCC - Occupation group Ireland 1991 - see Variable: IE1991A_OCC - Occupation group Ireland 1996 - see Variable: IE1996A_OCC - Occupation Ireland 2002 - see Variable: IE2002A_OCC - Occupation Ireland 2006 - see Variable: IE2006A_OCC - Occupation group Ireland 2011 - see Variable: IE2011A_OCC - Occupation (shuffled) Ireland 2016 - see Variable: IE2016A_OCC - Occupation (groups) Israel 1972 - see Variable: IL1972A_OCC - Occupation Israel 1983 - see Variable: IL1983A_OCC - Occupation Israel 1995 - see Variable: IL1995A_OCC - Occupation Israel 2008 - see Variable: IL2008A_OCC - Occupation Italy 2001 - see Variable: IT2001A_OCC - Occupation Italy 2011 - see Variable: IT2011A_WKTYPE - Type of work Jamaica 1982 - see Variable: JM1982A_OCC - Occupation during past week / in last job Jamaica 1991 - see Variable: JM1991A_OCC - Occupation during past week/in last job Jamaica 2001 - see Variable: JM2001A_OCC3 - Occupation 3-digit Jordan 2004 - see Variable: JO2004A_OCC3 - Major current occupation (3-digit) Kenya 1989 - see Variable: KE1989A_OCC4 - Occupation, 4 digits Kenya 2019 - see Variable: KE2019A_OCC3 - Occupation (3-digit) Kyrgyzstan 1999 - see Variable: KG1999A_OCC - Main activity Laos 1995 - see Variable: LA1995A_OCC1 - Main occupation in the last 12 months (1-digit) Lesotho 1996 - see Variable: LS1996A_OCC - Occupation (2-digits) Lesotho 2006 - see Variable: LS2006A_OCC - Occupation (2-digits) Liberia 1974 - see Variable: LR1974A_OCC2 - Occupation (2-digit) Liberia 2008 - see Variable: LR2008A_OCC - Occupation Malawi 1987 - see Variable: MW1987A_OCC2 - Occupation, 2 digit Malawi 1998 - see Variable: MW1998A_OCC2 - Occupation, 2-digit Malawi 2008 - see Variable: MW2008A_OCC2 - Occupation (2 digits) Malawi 2018 - see Variable: MW2018A_OCC1 - Main occupation (1-digit) Malaysia 1970 - see Variable: MY1970A_OCC - Occupation last week Malaysia 1980 - see Variable: MY1980A_OCC3 - Principal occupation last week (3 digits) Malaysia 1991 - see Variable: MY1991A_OCC3 - Principal occupation (3 digits) Malaysia 2000 - see Variable: MY2000A_OCC3 - Occupation -- 3 digits Mali 1987 - see Variable: ML1987A_OCC - Occupation last month Mali 1998 - see Variable: ML1998A_OCC - Main occupation Mali 2009 - see Variable: ML2009A_OCC - Principal occupation Mauritius 1990 - see Variable: MU1990A_OCC3 - Occupation (3-digit) Mauritius 2000 - see Variable: MU2000A_OCC4 - Occupation (4 digit) Mauritius 2011 - see Variable: MU2011A_OCC4 - Occupation (4-digit) Mexico 1960 - see Variable: MX1960A_OCC2 - Principal occupation, 2 digits Mexico 1970 - see Variable: MX1970A_OCC3 - Occupation 3 digit Mexico 1990 - see Variable: MX1990A_OCC - Occupation, 4 digits Mexico 1995 - see Variable: MX1995A_OCC - Occupation Mexico 2000 - see Variable: MX2000A_OCC4 - Occupation, 4 digits Mexico 2010 - see Variable: MX2010A_OCC - Occupation or trade Mexico 2015 - see Variable: MX2015A_OCC - Occupation Mexico 2020 - see Variable: MX2020A_OCC3 - Occupation (3-digits) Mongolia 2000 - see Variable: MN2000A_OCC - Occupation Mongolia 2010 - see Variable: MN2010A_OCC3 - Occupation 3 digits (ISCO-2008) Mongolia 2020 - see Variable: MN2020A_OCC3 - Occupation (3-digit) Morocco 1982 - see Variable: MA1982A_OCC3 - Occupation (3-digit) Morocco 1994 - see Variable: MA1994A_OCC3 - Occupation, 3-digit Morocco 2004 - see Variable: MA2004A_OCC3 - Occupation (3-digit) Morocco 2014 - see Variable: MA2014A_OCC2 - Occupation (2-digit) Mozambique 1997 - see Variable: MZ1997A_OCC2 - Occupation 3-digit Mozambique 2007 - see Variable: MZ2007A_OCC - Occupation Mozambique 2017 - see Variable: MZ2017A_OCC3 - Main occupation (3-digits ISCO 2008) Myanmar 2014 - see Variable: MM2014A_OCC - Occupation Nepal 2001 - see Variable: NP2001A_OCC - Usual occupation Nepal 2011 - see Variable: NP2011A_OCC1 - Occupation (1-digit) Netherlands 1960 - see Variable: NL1960A_OCC - Occupation Netherlands 1971 - see Variable: NL1971A_OCC - Occupation Netherlands 2001 - see Variable: NL2001A_OCC - Occupation Netherlands 2011 - see Variable: NL2011A_OCC - Occupation (1-digit) Nicaragua 1971 - see Variable: NI1971A_OCC - Occupation Nicaragua 1995 - see Variable: NI1995A_OCC - Occupation (ISCO 88, 3 digits) Nicaragua 2005 - see Variable: NI2005A_OCC3 - Occupation (ISCO 88, 3 digits) Pakistan 1973 - see Variable: PK1973A_OCC3 - Occupation Palestine 1997 - see Variable: PS1997A_OCC - Main occupation Palestine 2007 - see Variable: PS2007A_OCC - Main occupation Palestine 2017 - see Variable: PS2017A_OCC - Occupation Panama 1960 - see Variable: PA1960A_OCC4 - Occupation (4-digit) Panama 1970 - see Variable: PA1970A_OCC2 - Occupation, 2-digit Panama 1980 - see Variable: PA1980A_OCC2 - Occupation (3-digit) Panama 1990 - see Variable: PA1990A_OCC - Occupation Panama 2000 - see Variable: PA2000A_OCC - Occupation Panama 2010 - see Variable: PA2010A_OCC - Occupation, 3 digits Papua New Guinea 1980 - see Variable: PG1980A_OCC - Occupation, 3 digits Papua New Guinea 1990 - see Variable: PG1990A_OCC - Occupation Papua New Guinea 2000 - see Variable: PG2000A_OCC - Occupation (4-digit) Paraguay 1962 - see Variable: PY1962A_OCC1 - Occupation (1-digit) Paraguay 1972 - see Variable: PY1972A_OCC3 - Occupation (3 digits) Paraguay 1982 - see Variable: PY1982A_OCC3 - Occupation, 3-digits Paraguay 1992 - see Variable: PY1992A_OCC2 - Main occupation, 3 digits Paraguay 2002 - see Variable: PY2002A_OCC - Occupation (4 digits) Peru 1993 - see Variable: PE1993A_OCC - Occupation (3 digits) Peru 2007 - see Variable: PE2007A_OCC - Main occupation last week (3 digits) Peru 2017 - see Variable: PE2017A_OCC1 - Occupation (1-digit, in primary job last week) Philippines 1990 - see Variable: PH1990A_OCC - Occupation Philippines 2000 - see Variable: PH2000A_OCC - Occupation Philippines 2010 - see Variable: PH2010A_OCC3 - Usual occupation (3-digit) Poland 1978 - see Variable: PL1978A_OCC - Occupation Poland 1988 - see Variable: PL1988A_OCC - Main occupation Poland 2002 - see Variable: PL2002A_OCC - Occupation Portugal 1981 - see Variable: PT1981A_OCC - Main occupation Portugal 1991 - see Variable: PT1991A_OCC - Main occupation Portugal 2001 - see Variable: PT2001A_OCC - Main occupation Portugal 2011 - see Variable: PT2011A_OCC - Main occupation Puerto Rico 1970 - see Variable: PR1970A_OCC - Occupation Puerto Rico 1980 - see Variable: PR1980A_OCC - Occupation Puerto Rico 1990 - see Variable: PR1990A_OCC - Occupation Puerto Rico 2000 - see Variable: PR2000A_OCC - Occupation Puerto Rico 2005 - see Variable: PR2005A_OCC - Occupation Puerto Rico 2010 - see Variable: PR2010A_OCC - Occupation Puerto Rico 2015 - see Variable: PR2015A_OCC - Occupation last week Puerto Rico 2020 - see Variable: PR2020A_OCC2010 - Occupation last week, 2010 basis Romania 1992 - see Variable: RO1992A_OCC - Occupation Romania 2002 - see Variable: RO2002A_OCC4 - Occupation, 4 digits Romania 2011 - see Variable: RO2011A_OCC - Occupation (unrecoded) Rwanda 2002 - see Variable: RW2002A_OCC - Occupation Rwanda 2012 - see Variable: RW2012A_OCC2 - Occupation (3-digit) Saint Lucia 1991 - see Variable: LC1991A_OCC - Occupation Senegal 1988 - see Variable: SN1988A_OCC - Occupation Senegal 2002 - see Variable: SN2002A_OCC3 - Occupation, 3 digits Senegal 2013 - see Variable: SN2013A_OCC3 - Profession or occupation (3-digit) Sierra Leone 2004 - see Variable: SL2004A_OCC - Occupation Sierra Leone 2015 - see Variable: SL2015A_OCC - Main occupation in the past 12 months Slovakia 1991 - see Variable: SK1991A_OCC - Occupation (2-digit) Slovakia 2001 - see Variable: SK2001A_OCC2 - Occupation (2-digit) Slovakia 2011 - see Variable: SK2011A_OCC2 - Occupation (2-digit) Slovenia 2002 - see Variable: SI2002A_OCC - Occupation South Africa 1996 - see Variable: ZA1996A_OCC3 - Occupation, 3 digits South Africa 2001 - see Variable: ZA2001A_OCC - Occupation, 3 digit South Africa 2007 - see Variable: ZA2007A_OCC3 - Occupation, 3 digits South Sudan 2008 - see Variable: SS2008A_OCC - Occupation Spain 1981 - see Variable: ES1981A_OCC - Occupation Spain 1991 - see Variable: ES1991A_OCC - Occupation Spain 2001 - see Variable: ES2001A_OCC - Occupation Spain 2011 - see Variable: ES2011A_OCC - Occupation, 2-digits Sudan 2008 - see Variable: SD2008A_OCC - Occupation Suriname 2004 - see Variable: SR2004A_OCC - Occupation Suriname 2012 - see Variable: SR2012A_OCC - Occupation (groups) Switzerland 1970 - see Variable: CH1970A_ISCO - Present occupation (ISCO) Switzerland 1980 - see Variable: CH1980A_ISCO - Present occupation (ISCO-COM) Switzerland 1990 - see Variable: CH1990A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2000 - see Variable: CH2000A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2011 - see Variable: CH2011A_OCC - Current occupation (1-digit, ISCO-08) Tanzania 1988 - see Variable: TZ1988A_OCC - Occupation Tanzania 2002 - see Variable: TZ2002A_OCC - Occupation last week Tanzania 2012 - see Variable: TZ2012A_OCC - Occupation Thailand 1970 - see Variable: TH1970A_OCC - Principal occupation last year Thailand 1980 - see Variable: TH1980A_OCC - Occupation last year Thailand 1990 - see Variable: TH1990A_OCC3 - Occupation last year Thailand 2000 - see Variable: TH2000A_OCC3 - Occupation last year, 3 digits Togo 1960 - see Variable: TG1960A_OCC - Occupation (3-digits) Togo 1970 - see Variable: TG1970A_OCC3 - Occupation (3-digits) Togo 2010 - see Variable: TG2010A_OCC2 - Occupation (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_OCC - Main occupation (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_OCC - Main occupation during previous week (three digits) Trinidad and Tobago 2000 - see Variable: TT2000A_OCC - Main occupation (3 digits) Turkey 1985 - see Variable: TR1985A_OCC2 - Occupation (2-digit) Turkey 1990 - see Variable: TR1990A_OCC2 - Current occupation (2 digits) Turkey 2000 - see Variable: TR2000A_OCC2 - Current occupation, 2 digit Uganda 1991 - see Variable: UG1991A_OCC - Occupation, 3 digits Uganda 2002 - see Variable: UG2002A_OCC - Occupation, 3 digits Uganda 2014 - see Variable: UG2014A_OCC - Occupation (2-digits) United Kingdom 1961 - see Variable: UK1961A_OCC - Occupation United Kingdom 1971 - see Variable: UK1971A_OCC - Occupation United Kingdom 1991 - see Variable: UK1991A_OCC - Occupational classification United Kingdom 2001 - see Variable: UK2001A_OCC3 - Standard occupational classification 2000-minor United States 1960 - see Variable: US1960A_OCC - Occupation United States 1970 - see Variable: US1970A_OCC - Occupation United States 1980 - see Variable: US1980A_OCC - Occupation United States 1990 - see Variable: US1990A_OCC - Occupation United States 2000 - see Variable: US2000A_OCC - Occupation United States 2005 - see Variable: US2005A_OCC2000M - Occupation, 2000 basis, modal category assignment United States 2010 - see Variable: US2010A_OCC - Occupation United States 2015 - see Variable: US2015A_OCC - Occupation last week United States 2020 - see Variable: US2020A_OCC - Occupation last week Uruguay 1963 - see Variable: UY1963A_OCC2 - Primary occupation [2-digit] Uruguay 1975 - see Variable: UY1975A_OCC - Occupation (COTA, 3 digits) Uruguay 1985 - see Variable: UY1985A_OCC - Occupation during the past week Uruguay 1996 - see Variable: UY1996A_OCC - Occupation (ISCO 88, 3 digits) Uruguay 2006 - see Variable: UY2006A_OCC3 - Occupation (ISCO-88, 3 digits) Venezuela 1981 - see Variable: VE1981A_OCC3 - Occupation, 3 digits Venezuela 1990 - see Variable: VE1990A_OCC - Occupation, 3 digits Venezuela 2001 - see Variable: VE2001A_OCC - Occupation Vietnam 1989 - see Variable: VN1989A_OCC2 - Occupation, 2 digits Vietnam 1999 - see Variable: VN1999A_OCC3 - Occupation, 3 digit Vietnam 2009 - see Variable: VN2009A_OCC - Occupation Vietnam 2019 - see Variable: VN2019A_OCC1 - Occupation, 1 digit Zambia 1990 - see Variable: ZM1990A_OCC - Occupation Zambia 2000 - see Variable: ZM2000A_OCC - Main occupation last 12 months, 3 digits Zambia 2010 - see Variable: ZM2010A_OCC2 - Main occupation last 12 months, 3 digits Zimbabwe 2012 - see Variable: ZW2012A_OCC - Occupation (3-digits) Work Variables -- PERSON 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 Migration status, previous residence MIGRATEP indicates whether the person's most recent move (if any) was between minor administrative units, major units, or countries. 00 NIU (not in universe) 10 Same major administrative unit 11 Same major, same minor administrative unit 12 Same major, different minor administrative unit 20 Different major administrative unit 30 Abroad 98 Response suppressed 99 Not reported/missing/unknown Migration: Global Variables -- PERSON 1st subnational geographic level of previous residence, world [consistent boundaries over time] GEOMIG1_P indicates the major administrative unit in which the person previously resided prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of previous residence, to enable comparative analysis of subnational migration. Foreign migrants are coded 097 or 997. Codes for GEOMIG1_1 match the geographic codes in GEOLEV1 (current place of residence). For similar information for different time intervals since migration, see variables GEOMIG1_1, GEOMIG1_5, and GEOMIG1_10. More on migration and geography can be found here. 051901 Yerevan [Province: Armenia] 051902 Aragatsotn [Province: Armenia] 051903 Ararat [Province: Armenia] 051904 Armavir [Province: Armenia] 051905 Gegharkunik [Province: Armenia] 051906 Lori [Province: Armenia] 051907 Kotayk [Province: Armenia] 051908 Shirak [Province: Armenia] 051909 Syunik [Province: Armenia] 051910 Vayots Dzor [Province: Armenia] 051911 Tavush [Province: Armenia] 051912 Nagorno-Karabagh [Province: Armenia] 051997 Foreign country [Province: Armenia] 051998 Unknown [Province: Armenia] 051999 NIU (not in universe) [Province: Armenia] 112001 Brest [Region: Belarus] 112002 Vitebsk [Region: Belarus] 112003 Gomel [Region: Belarus] 112004 Grodno [Region: Belarus] 112006 Minsk, Minsk City [Region: Belarus] 112007 Mogilev [Region: Belarus] 112097 Foreign country [Region: Belarus] 112098 Unknown [Region: Belarus] 112099 NIU (not in universe) [Region: Belarus] 204001 Alibori [Department: Benin] 204002 Atacora [Department: Benin] 204003 Atlantique [Department: Benin] 204004 Borgou [Department: Benin] 204005 Collines [Department: Benin] 204006 Couffo [Department: Benin] 204007 Donga [Department: Benin] 204008 Littoral [Department: Benin] 204009 Mono [Department: Benin] 204010 Oueme [Department: Benin] 204011 Plateau [Department: Benin] 204012 Zou [Department: Benin] 204097 Abroad [Department: Benin] 204098 Unknown [Department: Benin] 204099 NIU (not in universe) [Department: Benin] 076011 Rondônia [State: Brazil] 076012 Acre [State: Brazil] 076013 Amazonas [State: Brazil] 076014 Roraima [State: Brazil] 076015 Pará [State: Brazil] 076016 Amapá [State: Brazil] 076021 Maranhão [State: Brazil] 076022 Piauí [State: Brazil] 076023 Ceará [State: Brazil] 076024 Rio Grande do Norte [State: Brazil] 076025 Paraíba [State: Brazil] 076026 Pernambuco, Arquipelago de Fernando de Noronha [State: Brazil] 076027 Alagoas [State: Brazil] 076028 Sergipe [State: Brazil] 076029 Bahia [State: Brazil] 076031 Minas Gerais [State: Brazil] 076032 Espírito Santo [State: Brazil] 076033 Rio de Janeiro, Guanabara [State: Brazil] 076035 São Paulo [State: Brazil] 076036 Serra dos Aimorés [State: Brazil] 076041 Paraná [State: Brazil] 076042 Santa Catarina [State: Brazil] 076043 Rio Grande do Sul [State: Brazil] 076051 Mato Grosso do Sul, Mato Grosso [State: Brazil] 076052 Goiás, Tocantins [State: Brazil] 076053 Distrito Federal [State: Brazil] 076054 Brazil, unspecified [State: Brazil] 076097 Abroad [State: Brazil] 076098 Unknown [State: Brazil] 076099 NIU (not in universe) [State: Brazil] 116001 Banteay Meanchey [Province: Cambodia] 116002 Battambang [Province: Cambodia] 116003 Kampong Cham, Tbong Khmum [Province: Cambodia] 116004 Kampong Chhnang [Province: Cambodia] 116005 Kampong Speu [Province: Cambodia] 116006 Kampong Thom [Province: Cambodia] 116007 Kampot [Province: Cambodia] 116008 Phnom Penh, Kandal [Province: Cambodia] 116009 Koh Kong, Preah Sihanouk [Province: Cambodia] 116010 Kratie [Province: Cambodia] 116011 Mondul Kiri [Province: Cambodia] 116013 Preah Vihear [Province: Cambodia] 116014 Prey Veng [Province: Cambodia] 116015 Pursat [Province: Cambodia] 116016 Ratanak Kiri [Province: Cambodia] 116017 Siem Reap, Otdar Meanchey [Province: Cambodia] 116019 Stung Treng [Province: Cambodia] 116020 Svay Rieng [Province: Cambodia] 116021 Takeo [Province: Cambodia] 116023 Kep [Province: Cambodia] 116024 Pailin [Province: Cambodia] 116097 Foreign country [Province: Cambodia] 116098 Unknown [Province: Cambodia] 116099 NIU (not in universe) [Province: Cambodia] 120002 Centre, Sud [Province: Cameroon] 120003 Est [Province: Cameroon] 120004 Nord, Adamoua, Extrème Nord [Province: Cameroon] 120005 Littoral [Province: Cameroon] 120007 Nord Ouest [Province: Cameroon] 120008 Ouest [Province: Cameroon] 120010 Sud Ouest [Province: Cameroon] 120096 Cameroon - unknown arrondissement [Province: Cameroon] 120097 Foreign country [Province: Cameroon] 120098 Unknown [Province: Cameroon] 120099 NIU (not in universe) [Province: Cameroon] 152001 Tarapaca [Province: Chile] 152002 Antofagasta [Province: Chile] 152003 Atacama [Province: Chile] 152004 Coquimbo [Province: Chile] 152005 Aconcagua [Province: Chile] 152006 Valparaíso [Province: Chile] 152007 Santiago [Province: Chile] 152008 O'Higgins [Province: Chile] 152009 Colchagua [Province: Chile] 152010 Curicó [Province: Chile] 152011 Talca [Province: Chile] 152012 Maule [Province: Chile] 152013 Linares [Province: Chile] 152014 Ñuble [Province: Chile] 152015 Concepción [Province: Chile] 152016 Arauco [Province: Chile] 152017 Bío Bío [Province: Chile] 152018 Malleco [Province: Chile] 152019 Cautín [Province: Chile] 152020 Valdivia [Province: Chile] 152021 Osorno [Province: Chile] 152022 Llanquihue [Province: Chile] 152023 Chiloé [Province: Chile] 152024 Aysén [Province: Chile] 152025 Magallanes [Province: Chile] 152097 Foreign country [Province: Chile] 152098 Unknown [Province: Chile] 152099 NIU (not in universe) [Province: Chile] 170005 Antioquia [Department: Colombia] 170008 Atlántico [Department: Colombia] 170011 Bogotá D.C., Cundinamarca [Department: Colombia] 170013 Bolívar, Sucre [Department: Colombia] 170015 Boyacá, Casanare [Department: Colombia] 170018 Caquetá [Department: Colombia] 170019 Cauca [Department: Colombia] 170023 Córdoba [Department: Colombia] 170027 Chocó [Department: Colombia] 170041 Huila [Department: Colombia] 170044 La Guajira [Department: Colombia] 170050 Meta [Department: Colombia] 170052 Nariño [Department: Colombia] 170054 Cesar, Norte De Santander, Magdalena [Department: Colombia] 170066 Caldas, Quindío, Risaralda [Department: Colombia] 170068 Santander [Department: Colombia] 170073 Tolima [Department: Colombia] 170076 Valle Del Cauca [Department: Colombia] 170081 Arauca [Department: Colombia] 170086 Putumayo [Department: Colombia] 170088 Archipiélago De San Andrés Y Providencia [Department: Colombia] 170095 Amazonas, Guaviare, Vaupés, Vichada, Guainía [Department: Colombia] 170097 Abroad [Department: Colombia] 170098 Unknown [Department: Colombia] 188001 San José [Province: Costa Rica] 188002 Alajuela [Province: Costa Rica] 188003 Cartago [Province: Costa Rica] 188004 Heredia [Province: Costa Rica] 188005 Guanacaste [Province: Costa Rica] 188006 Puntarenas [Province: Costa Rica] 188007 Limón [Province: Costa Rica] 188097 Foreign country [Province: Costa Rica] 188098 Unknown [Province: Costa Rica] 192021 Pinar del Río, Artemisa, Mayabeque [Province: Cuba] 192023 La Habana [Province: Cuba] 192025 Matanzas [Province: Cuba] 192026 Villa Clara [Province: Cuba] 192027 Cienfuegos [Province: Cuba] 192028 Sancti Spíritus [Province: Cuba] 192029 Ciego de Ávila [Province: Cuba] 192030 Camagüey [Province: Cuba] 192031 Las Tunas [Province: Cuba] 192032 Holguín [Province: Cuba] 192033 Granma [Province: Cuba] 192034 Santiago de Cuba [Province: Cuba] 192035 Guantánamo [Province: Cuba] 192040 Isla de la Juventud [Province: Cuba] 192997 Abroad [Province: Cuba] 192998 Unknown [Province: Cuba] 192999 NIU (not in universe) [Province: Cuba] 218001 Azuay [Province: Ecuador] 218002 Bolívar [Province: Ecuador] 218004 Carchi [Province: Ecuador] 218005 Cotopaxi [Province: Ecuador] 218006 Chimborazo [Province: Ecuador] 218007 El Oro [Province: Ecuador] 218009 Cañar, Esmeraldas, Guayas, Manabí, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los Ríos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos [Province: Ecuador] 218010 Imbabura, Las Golondrinas [Disputed canton] [Province: Ecuador] 218011 Loja [Province: Ecuador] 218014 Morona Santiago [Province: Ecuador] 218016 Pastaza [Province: Ecuador] 218018 Tungurahua [Province: Ecuador] 218019 Zamora Chinchipe [Province: Ecuador] 218021 Napo, Orellana, Sucumbíos [Province: Ecuador] 218097 Foreign country [Province: Ecuador] 218098 Unknown and Disputed Zones [Province: Ecuador] 218999 NIU (not in universe) [Province: Ecuador] 818000 Reported same governorate as household location [Governorate: Egypt] 818001 Giza, 6th October City, Cairo, Helwan [Governorate: Egypt] 818002 Alexandria [Governorate: Egypt] 818003 Port Said [Governorate: Egypt] 818004 Suez [Governorate: Egypt] 818011 Demietta [Governorate: Egypt] 818012 Dakahlia [Governorate: Egypt] 818013 Sharkia [Governorate: Egypt] 818014 Kaliobia [Governorate: Egypt] 818015 Kafr Sheikh [Governorate: Egypt] 818016 Gharbia [Governorate: Egypt] 818018 Menoufia, Behera [Governorate: Egypt] 818019 Ismailia [Governorate: Egypt] 818022 Bani Swif [Governorate: Egypt] 818023 Fayoum [Governorate: Egypt] 818024 Menia [Governorate: Egypt] 818025 Asiut [Governorate: Egypt] 818026 Sohag [Governorate: Egypt] 818027 Qena, Luxor [Governorate: Egypt] 818028 Aswan [Governorate: Egypt] 818031 Red Sea [Governorate: Egypt] 818032 New Valley [Governorate: Egypt] 818033 Marsa Matroh [Governorate: Egypt] 818034 North Sinai [Governorate: Egypt] 818035 South Sinai [Governorate: Egypt] 818097 Abroad [Governorate: Egypt] 818098 Unknown [Governorate: Egypt] 818099 NIU (not in universe) [Governorate: Egypt] 222001 Ahuachapán [Department: El Salvador] 222002 Santa Ana [Department: El Salvador] 222003 Sonsonate [Department: El Salvador] 222004 Chalatenango [Department: El Salvador] 222005 La Libertad [Department: El Salvador] 222006 San Salvador [Department: El Salvador] 222007 Cuscatlán [Department: El Salvador] 222008 La Paz [Department: El Salvador] 222009 Cabañas [Department: El Salvador] 222010 San Vicente [Department: El Salvador] 222011 Usulután [Department: El Salvador] 222012 San Miguel [Department: El Salvador] 222013 Morazán [Department: El Salvador] 222014 La Unión [Department: El Salvador] 222098 Abroad [Department: El Salvador] 222099 NIU (not in universe) [Department: El Salvador] 231001 Tigray [Region: Ethiopia] 231002 Affar [Region: Ethiopia] 231003 Amhara [Region: Ethiopia] 231004 Oromia, Somali [Region: Ethiopia] 231006 Benishangul-Gumuz [Region: Ethiopia] 231007 Southern Nations, Nationalities, and Peoples (SNNP) [Region: Ethiopia] 231012 Gambela [Region: Ethiopia] 231013 Harari [Region: Ethiopia] 231014 Addis Ababa [Region: Ethiopia] 231015 Dire Dawa [Region: Ethiopia] 231097 Abroad [Region: Ethiopia] 231099 NIU [Region: Ethiopia] 250001 Guadeloupe [Region: France] 250002 Martinique [Region: France] 250003 French Guyana [Region: France] 250004 Réunion Island [Region: France] 250011 Île-de-France [Region: France] 250021 Champagne-Ardenne [Region: France] 250022 Picardy [Region: France] 250023 Upper Normandy [Region: France] 250024 Centre [Region: France] 250025 Lower Normandy [Region: France] 250026 Burgundy [Region: France] 250031 North Pas-de-Calais [Region: France] 250041 Lorraine [Region: France] 250042 Alsace [Region: France] 250043 Franche-Comté [Region: France] 250052 Loire Valley [Region: France] 250053 Brittany [Region: France] 250054 Poitou-Charentes [Region: France] 250072 Aquitaine [Region: France] 250073 Midi-Pyrénées [Region: France] 250074 Limousin [Region: France] 250082 Rhône-Alpes [Region: France] 250083 Auvergne [Region: France] 250091 Languedoc-Roussillon [Region: France] 250093 Provence-Alpes-Riviera [Region: France] 250094 Corsica [Region: France] 250097 Abroad [Region: France] 320001 Guatemala [Department: Guatemala] 320002 El Progreso [Department: Guatemala] 320003 Sacatepéquez [Department: Guatemala] 320004 Chimaltenango [Department: Guatemala] 320005 Escuintla [Department: Guatemala] 320006 Santa Rosa [Department: Guatemala] 320007 Sololá [Department: Guatemala] 320008 Totonicapán [Department: Guatemala] 320009 Quetzaltenango [Department: Guatemala] 320010 Suchitepéquez [Department: Guatemala] 320011 Retalhuleu [Department: Guatemala] 320012 San Marcos [Department: Guatemala] 320013 Huehuetenango [Department: Guatemala] 320014 Quiché [Department: Guatemala] 320015 Baja Verapaz [Department: Guatemala] 320016 Alta Verapaz [Department: Guatemala] 320017 Petén [Department: Guatemala] 320018 Izabal [Department: Guatemala] 320019 Zacapa [Department: Guatemala] 320020 Chiquimula [Department: Guatemala] 320021 Jalapa [Department: Guatemala] 320022 Jutiapa [Department: Guatemala] 320097 Foreign Country [Department: Guatemala] 320098 Unknown [Department: Guatemala] 320099 NIU [Department: Guatemala] 324011 Boffa [Region: Guinea] 324012 Boké [Region: Guinea] 324013 Fria [Region: Guinea] 324014 Gaoual [Region: Guinea] 324015 Koundara [Region: Guinea] 324021 Conakry [Region: Guinea] 324031 Dabola [Region: Guinea] 324032 Dinguiraye [Region: Guinea] 324033 Faranah [Region: Guinea] 324034 Kissidougou [Region: Guinea] 324041 Kankan [Region: Guinea] 324042 Kérouané [Region: Guinea] 324043 Kouroussa [Region: Guinea] 324044 Mandiana [Region: Guinea] 324045 Siguiri [Region: Guinea] 324051 Coyah, Dubréka [Region: Guinea] 324053 Forécariah [Region: Guinea] 324054 Kindia [Region: Guinea] 324055 Télimélé [Region: Guinea] 324061 Koubia [Region: Guinea] 324062 Labé [Region: Guinea] 324063 Lélouma [Region: Guinea] 324064 Mali [Region: Guinea] 324065 Tougué [Region: Guinea] 324071 Dalaba [Region: Guinea] 324072 Mamou [Region: Guinea] 324073 Pita [Region: Guinea] 324081 Beyla [Region: Guinea] 324082 Guéckédou [Region: Guinea] 324083 Lola [Region: Guinea] 324084 Macenta [Region: Guinea] 324085 Nzerekore [Region: Guinea] 324086 Yomou [Region: Guinea] 324096 Guinea, place unknown [Region: Guinea] 324097 Foreign country [Region: Guinea] 324098 Unknown [Region: Guinea] 324099 NIU (not in universe) [Region: Guinea] 332003 Nord (North) and Nord'est (North East) [Department: Haiti] 332006 Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti] 332007 Grand'Anse, Nippes, Sud (South) [Department: Haiti] 332009 Nord'Ouest (North West) [Department: Haiti] 332097 Foreign Country [Department: Haiti] 332098 Unknown [Department: Haiti] 356001 Jammu and Kashmir [State: India] 356002 Himachal Pradesh [State: India] 356003 Punjab [State: India] 356004 Chandigarh [State: India] 356006 Haryana [State: India] 356007 Delhi [State: India] 356008 Rajasthan [State: India] 356009 Uttar Pradesh, Uttaranchal [State: India] 356010 Bihar, Jharkhand [State: India] 356011 Sikkim [State: India] 356012 Arunachal Pradesh [State: India] 356013 Nagaland [State: India] 356014 Manipur [State: India] 356015 Mizoram [State: India] 356016 Tripura [State: India] 356017 Meghalaya [State: India] 356018 Assam [State: India] 356019 West Bengal [State: India] 356021 Orissa [State: India] 356023 Madhya Pradesh, Chhattisgarh [State: India] 356024 Gujarat [State: India] 356026 Dadra and Nagar Haveli [State: India] 356027 Maharashtra [State: India] 356028 Andhra Pradesh [State: India] 356029 Karnataka [State: India] 356030 Goa, Daman and Diu [State: India] 356031 Lakshadweep [State: India] 356032 Kerala [State: India] 356033 Tamil Nadu [State: India] 356034 Pondicherry [State: India] 356035 Andaman and Nicobar Islands [State: India] 356097 Abroad [State: India] 356098 Unknown [State: India] 356099 NIU (not in universe) [State: India] 360011 Nanggroe Aceh Darussalam [Province: Indonesia] 360012 Sumatera Utara [Province: Indonesia] 360013 Sumatera Barat [Province: Indonesia] 360014 Kepulauan Riau, Riau [Province: Indonesia] 360015 Jambi [Province: Indonesia] 360016 Bangka Belitung, Sumatera Selatan [Province: Indonesia] 360017 Bengkulu [Province: Indonesia] 360018 Lampung [Province: Indonesia] 360031 DKI Jakarta [Province: Indonesia] 360032 Banten, Jawa Barat [Province: Indonesia] 360033 Jawa Tengah [Province: Indonesia] 360034 DKI Yogyakarta [Province: Indonesia] 360035 Jawa Timur [Province: Indonesia] 360051 Bali [Province: Indonesia] 360052 Nusa Tenggara Barat [Province: Indonesia] 360053 Nusa Tenggara Timur [Province: Indonesia] 360061 Kalimantan Barat [Province: Indonesia] 360062 Kalimantan Tengah [Province: Indonesia] 360063 Kalimantan Selatan [Province: Indonesia] 360064 Kalimantan Timur [Province: Indonesia] 360071 Gorontalo, Sulawesi Utara [Province: Indonesia] 360072 Sulawesi Tengah [Province: Indonesia] 360073 Sulawesi Barat, Sulawesi Selatan [Province: Indonesia] 360074 Sulawesi Tenggara [Province: Indonesia] 360081 Maluku, Maluku Utara [Province: Indonesia] 360094 Papua, Papua Barat [Province: Indonesia] 360097 Abroad [Province: Indonesia] 360098 Unknown [Province: Indonesia] 360099 NIU (not in universe) [Province: Indonesia] 360626 East Timor [Province: Indonesia] 364000 Markazi [Province: Iran] 364001 Gilan [Province: Iran] 364002 Mazandaran [Province: Iran] 364003 East Azarbayejan [Province: Iran] 364004 West Azarbayejan [Province: Iran] 364005 Kermanshah [Province: Iran] 364006 Khuzestan [Province: Iran] 364007 Fars [Province: Iran] 364008 Kerman [Province: Iran] 364009 Razavi Khorasan [Province: Iran] 364010 Esfahan [Province: Iran] 364011 Sistan and Baluchestan [Province: Iran] 364012 Kordestan [Province: Iran] 364013 Hamedan [Province: Iran] 364014 Chaharmahal and Bakhtiyari [Province: Iran] 364015 Lorestan [Province: Iran] 364016 Ilam [Province: Iran] 364017 Kohgiluyeh and Boyerahmad [Province: Iran] 364018 Bushehr [Province: Iran] 364019 Zanjan [Province: Iran] 364020 Semnan [Province: Iran] 364021 Yazd [Province: Iran] 364022 Hormozgan [Province: Iran] 364023 Tehran, Alborz [Province: Iran] 364024 Ardebil [Province: Iran] 364025 Qom [Province: Iran] 364026 Qazvin [Province: Iran] 364027 Golestan [Province: Iran] 364028 North Khorasan [Province: Iran] 364029 South Khorasan [Province: Iran] 364098 Unknown [Province: Iran] 364099 NIU (not in universe) [Province: Iran] 368000 Always lived in residential place of birth [Governorate: Iraq] 368001 In this governorate [Governorate: Iraq] 368011 Dahuk [Governorate: Iraq] 368012 Nineveh [Governorate: Iraq] 368013 Sulaymaniyah [Governorate: Iraq] 368014 Al-Tameem [Governorate: Iraq] 368015 Erbil [Governorate: Iraq] 368021 Diala [Governorate: Iraq] 368022 Al-Anbar [Governorate: Iraq] 368023 Baghdad [Governorate: Iraq] 368024 Babylon [Governorate: Iraq] 368025 Kerbela [Governorate: Iraq] 368026 Wasit [Governorate: Iraq] 368027 Salah Al-Deen [Governorate: Iraq] 368028 Al-Najaf [Governorate: Iraq] 368031 Al-Qadisiya [Governorate: Iraq] 368032 Al-Muthanna [Governorate: Iraq] 368033 Thi-Qar [Governorate: Iraq] 368034 Maysan [Governorate: Iraq] 368035 Al-Basrah [Governorate: Iraq] 368097 Other countries [Governorate: Iraq] 368098 Unknown [Governorate: Iraq] 388001 Kingston [Parish: Jamaica] 388002 Saint Andrew [Parish: Jamaica] 388003 Saint Thomas [Parish: Jamaica] 388004 Portland [Parish: Jamaica] 388005 Saint Mary [Parish: Jamaica] 388006 Saint Ann [Parish: Jamaica] 388007 Trelawny [Parish: Jamaica] 388008 Saint James [Parish: Jamaica] 388009 Hanover [Parish: Jamaica] 388010 Westmoreland [Parish: Jamaica] 388011 Saint Elizabeth [Parish: Jamaica] 388012 Manchester [Parish: Jamaica] 388013 Clarendon [Parish: Jamaica] 388014 Saint Catherine [Parish: Jamaica] 388098 Unknown [Parish: Jamaica] 388099 NIU (Not in universe) [Parish: Jamaica] 400011 Amman [Governorate: Jordan] 400012 Balqa [Governorate: Jordan] 400013 Zarqa [Governorate: Jordan] 400014 Madaba [Governorate: Jordan] 400021 Irbid [Governorate: Jordan] 400022 Mafraq [Governorate: Jordan] 400023 Jarash [Governorate: Jordan] 400024 Ajlun [Governorate: Jordan] 400031 Karak [Governorate: Jordan] 400032 Tafilah [Governorate: Jordan] 400033 Ma'an [Governorate: Jordan] 400034 Aqaba [Governorate: Jordan] 400997 Foreign Country [Governorate: Jordan] 400998 Unknown [Governorate: Jordan] 404001 Nairobi [Province: Kenya] 404002 Central [Province: Kenya] 404003 Coast [Province: Kenya] 404004 Eastern [Province: Kenya] 404005 Northeastern [Province: Kenya] 404006 Nyanza [Province: Kenya] 404007 Rift Valley [Province: Kenya] 404008 Western [Province: Kenya] 404097 Abroad [Province: Kenya] 404098 Unknown [Province: Kenya] 404099 NIU (not in universe) [Province: Kenya] 417001 Bishkek [Region: Kyrgyz Republic] 417002 Issyk-Kul region [Region: Kyrgyz Republic] 417003 Dzhalal-Abad region [Region: Kyrgyz Republic] 417004 Naryn region [Region: Kyrgyz Republic] 417005 Batken region [Region: Kyrgyz Republic] 417006 Oshskaya region, City of Osh [Region: Kyrgyz Republic] 417007 Talasskaya region [Region: Kyrgyz Republic] 417008 Chuya region [Region: Kyrgyz Republic] 417096 Other Kyrgyz Republic, not specified [Region: Kyrgyz Republic] 417097 Foreign country [Region: Kyrgyz Republic] 417098 Unknown [Region: Kyrgyz Republic] 417099 NIU (not in universe) [Region: Kyrgyz Republic] 418001 Vientiane Capital [Province: Laos] 418002 Phongsaly [Province: Laos] 418003 Luangnamtha [Province: Laos] 418004 Oudomxay [Province: Laos] 418005 Bokeo [Province: Laos] 418006 Luangprabang [Province: Laos] 418007 Huaphanh [Province: Laos] 418008 Xayaboury [Province: Laos] 418009 Xienkhuang [Province: Laos] 418010 Vientiane Province [Province: Laos] 418011 Borikhamxay [Province: Laos] 418012 Khammuane [Province: Laos] 418013 Savanakhet [Province: Laos] 418014 Saravane [Province: Laos] 418015 Sekong [Province: Laos] 418016 Champasack [Province: Laos] 418017 Attapeu [Province: Laos] 418018 Xaysomboune [Province: Laos] 418097 Foreign Country [Province: Laos] 418098 Unknown [Province: Laos] 418099 NIU [Province: Laos] 662003 Castries city, Castries rural, Castries suburban [District: Saint Lucia] 662009 Choiseul, Laborie, Vieux-Fort [District: Saint Lucia] 662010 Anse-la-Raye, Canaries, Micoud, Soufriere [District: Saint Lucia] 662012 Dennery, Gros-Islet [District: Saint Lucia] 662098 Unknown [District: Saint Lucia] 662099 NIU [District: Saint Lucia] 454101 Chitipa [District: Malawi] 454102 Karonga [District: Malawi] 454103 Nkhata Bay, Likoma [District: Malawi] 454104 Rumphi [District: Malawi] 454105 Mzimba, Mzuzu City [District: Malawi] 454201 Kasungu [District: Malawi] 454202 Nkhotakota [District: Malawi] 454203 Ntchisi [District: Malawi] 454204 Dowa [District: Malawi] 454205 Salima [District: Malawi] 454206 Lilongwe, Lilongwe City [District: Malawi] 454207 Mchinji [District: Malawi] 454208 Dedza [District: Malawi] 454209 Ntcheu [District: Malawi] 454301 Mangochi [District: Malawi] 454302 Machinga [District: Malawi] 454303 Zomba, Zomba City [District: Malawi] 454304 Chiradzulu [District: Malawi] 454305 Blantyre, Blantyre City [District: Malawi] 454306 Mwanza, Neno [District: Malawi] 454307 Thyolo [District: Malawi] 454308 Mulanje [District: Malawi] 454309 Phalombe [District: Malawi] 454310 Chikwawa [District: Malawi] 454311 Nsanje [District: Malawi] 454312 Balaka [District: Malawi] 454997 Abroad [District: Malawi] 454999 NIU (not in universe) [District: Malawi] 466001 Kayes [Region: Mali] 466002 Koulikoro [Region: Mali] 466003 Sikasso [Region: Mali] 466004 Ségou [Region: Mali] 466005 Mopti [Region: Mali] 466006 Tombouctou [Region: Mali] 466007 Gao, Kidal [Region: Mali] 466009 Bamako [Region: Mali] 466096 Mali, province unspecified [Region: Mali] 466097 Foreign country [Region: Mali] 466098 Unknown [Region: Mali] 466999 NIU (not in universe) [Region: Mali] 484001 Aguascalientes [State: Mexico] 484002 Baja California [State: Mexico] 484003 Baja California Sur [State: Mexico] 484004 Campeche [State: Mexico] 484005 Coahuila de Zaragoza [State: Mexico] 484006 Colima [State: Mexico] 484007 Chiapas [State: Mexico] 484008 Chihuahua [State: Mexico] 484009 Distrito Federal [State: Mexico] 484010 Durango [State: Mexico] 484011 Guanajuato [State: Mexico] 484012 Guerrero [State: Mexico] 484013 Hidalgo [State: Mexico] 484014 Jalisco [State: Mexico] 484015 México [State: Mexico] 484016 Michoacán de Ocampo [State: Mexico] 484017 Morelos [State: Mexico] 484018 Nayarit [State: Mexico] 484019 Nuevo León [State: Mexico] 484020 Oaxaca [State: Mexico] 484021 Puebla [State: Mexico] 484022 Querétaro [State: Mexico] 484023 Quintana Roo [State: Mexico] 484024 San Luis Potosí [State: Mexico] 484025 Sinaloa [State: Mexico] 484026 Sonora [State: Mexico] 484027 Tabasco [State: Mexico] 484028 Tamaulipas [State: Mexico] 484029 Tlaxcala [State: Mexico] 484030 Veracruz de Ignacio de la Llave [State: Mexico] 484031 Yucatán [State: Mexico] 484032 Zacatecas [State: Mexico] 484097 Abroad [State: Mexico] 484098 Unknown [State: Mexico] 484099 NIU (not in universe) [State: Mexico] 496011 Ulaanbaatar [Province: Mongolia] 496021 Dornod [Province: Mongolia] 496022 Sukhbaatar [Province: Mongolia] 496023 Khentii [Province: Mongolia] 496041 Tuv [Province: Mongolia] 496043 Selenge [Province: Mongolia] 496044 Dornogobi [Province: Mongolia] 496045 Darkhan-Uul [Province: Mongolia] 496046 Umnugobi [Province: Mongolia] 496048 Dundgobi, Gobisumber [Province: Mongolia] 496061 Orkhon [Province: Mongolia] 496062 Uvurkhangai [Province: Mongolia] 496063 Bulgan [Province: Mongolia] 496064 Bayankhongor [Province: Mongolia] 496065 Arkhangai [Province: Mongolia] 496067 Khuvsgul [Province: Mongolia] 496081 Zavkhan [Province: Mongolia] 496082 Gobi-Altai [Province: Mongolia] 496083 Bayan-Ulgii [Province: Mongolia] 496084 Khovd [Province: Mongolia] 496085 Uvs [Province: Mongolia] 496097 Abroad [Province: Mongolia] 496099 NIU (not in universe) [Province: Mongolia] 104001 Kachin [State: Myanmar] 104002 Kayah [State: Myanmar] 104003 Kayin [State: Myanmar] 104004 Chin [State: Myanmar] 104005 Sagaing [State: Myanmar] 104006 Tanintharyi [State: Myanmar] 104007 Bago [State: Myanmar] 104008 Magway [State: Myanmar] 104009 Mandalay [State: Myanmar] 104010 Mon [State: Myanmar] 104011 Rakhine [State: Myanmar] 104012 Yangon [State: Myanmar] 104013 Shan [State: Myanmar] 104014 Ayeyawady [State: Myanmar] 104015 Nay Pyi Taw [State: Myanmar] 104097 Abroad [State: Myanmar] 104099 NIU [State: Myanmar] 591002 Coclé [Province: Panama] 591003 Colón, Comarca Kuna Yala (San Blas) [Province: Panama] 591004 Bocas de Toro, Chiriquí, Comarca Ngäbe Buglé, Veraguas [Province: Panama] 591005 Comarca Emberá, Darién [Province: Panama] 591006 Herrera [Province: Panama] 591007 Los Santos [Province: Panama] 591008 Panamá [Province: Panama] 591009 Unknown district in Panamá province [Province: Panama] 591097 Foreign country [Province: Panama] 591098 Unknown [Province: Panama] 591099 NIU (not in universe) [Province: Panama] 608001 Abra [Province: Philippines] 608002 Agusan del norte [Province: Philippines] 608003 Agusan del sur [Province: Philippines] 608004 Aklan [Province: Philippines] 608005 Albay [Province: Philippines] 608006 Antique [Province: Philippines] 608007 Basilan, City Of Isabela [Province: Philippines] 608008 Bataan [Province: Philippines] 608010 Batangas [Province: Philippines] 608011 Benguet [Province: Philippines] 608012 Bohol [Province: Philippines] 608013 Bukidnon [Province: Philippines] 608014 Bulacan [Province: Philippines] 608015 Cagayan, Batanes [Province: Philippines] 608016 Camarines norte [Province: Philippines] 608017 Camarines Sur [Province: Philippines] 608018 Camiguin [Province: Philippines] 608019 Capiz [Province: Philippines] 608020 Catanduanes [Province: Philippines] 608021 Cavite [Province: Philippines] 608022 Cebu [Province: Philippines] 608023 Davao (Davao del Norte) [Province: Philippines] 608024 Davao del Sur, Davao Occidental [Province: Philippines] 608025 Davao Oriental [Province: Philippines] 608026 Eastern Samar [Province: Philippines] 608027 Ifugao [Province: Philippines] 608028 Ilocos Norte [Province: Philippines] 608029 Ilocos Sur [Province: Philippines] 608030 Iloilo, Guimaras [Province: Philippines] 608031 Isabela [Province: Philippines] 608032 Kalinga-Apayao, Apayo, Kalinga [Province: Philippines] 608033 La Union [Province: Philippines] 608034 Laguna [Province: Philippines] 608035 Lanao del Norte [Province: Philippines] 608036 Lanao del Sur, Maguindanao, Marawi City and Cotabato city [Province: Philippines] 608037 Leyte, Biliran [Province: Philippines] 608039 Manila [Province: Philippines] 608040 Marinduque [Province: Philippines] 608041 Masbate [Province: Philippines] 608042 Misamis Occidental [Province: Philippines] 608043 Misamis Oriental [Province: Philippines] 608044 Mountain Province [Province: Philippines] 608045 Negros Occidental [Province: Philippines] 608046 Negros Oriental [Province: Philippines] 608047 Cotabato (North Cotabato) [Province: Philippines] 608048 Northern Samar [Province: Philippines] 608049 Nueva Ecija [Province: Philippines] 608050 Nueva Vizcaya [Province: Philippines] 608051 Occidental Mindoro [Province: Philippines] 608052 Oriental Mindoro [Province: Philippines] 608053 Palawan [Province: Philippines] 608054 Pampanga [Province: Philippines] 608055 Pangasinan [Province: Philippines] 608056 Quezon [Province: Philippines] 608057 Quirino [Province: Philippines] 608058 Rizal [Province: Philippines] 608059 Romblon [Province: Philippines] 608060 Samar (Western Samar) [Province: Philippines] 608061 Siquijor [Province: Philippines] 608062 Sorsogon [Province: Philippines] 608063 South Cotabato, Sarangani [Province: Philippines] 608064 Southern Leyte [Province: Philippines] 608065 Sultan Kudarat [Province: Philippines] 608066 Sulu [Province: Philippines] 608067 Surigao Del Norte, Dinagat islands [Province: Philippines] 608068 Surigao del Sur [Province: Philippines] 608069 Tarlac [Province: Philippines] 608070 Tawi-Tawi [Province: Philippines] 608071 Zambales [Province: Philippines] 608072 Zamboanga Norte [Province: Philippines] 608073 Zamboanga del Sur, Zamboanga Sibugay [Province: Philippines] 608074 Manila Metro, 2nd District [Province: Philippines] 608075 Manila Metro, 3rd District [Province: Philippines] 608076 Manila Metro, 4th District [Province: Philippines] 608077 Aurora [Province: Philippines] 608097 Foreign country [Province: Philippines] 608098 Unknown [Province: Philippines] 608099 NIU (not in universe) [Province: Philippines] 642001 Alba [County: Romania] 642002 Arad [County: Romania] 642003 Arges [County: Romania] 642004 Bacau [County: Romania] 642005 Bihor [County: Romania] 642006 Bistrita Nasaud [County: Romania] 642007 Botosani [County: Romania] 642008 Brasov [County: Romania] 642009 Braila [County: Romania] 642010 Buzau [County: Romania] 642011 Caras Severin [County: Romania] 642012 Cluj [County: Romania] 642013 Constanta [County: Romania] 642014 Covasna [County: Romania] 642015 Dambovita [County: Romania] 642016 Dolj [County: Romania] 642017 Galati [County: Romania] 642018 Gorj [County: Romania] 642019 Harghita [County: Romania] 642020 Hunedoara [County: Romania] 642022 Iasi [County: Romania] 642024 Maramures [County: Romania] 642025 Mehedinti [County: Romania] 642026 Mures [County: Romania] 642027 Neamt [County: Romania] 642028 Olt [County: Romania] 642029 Prahova [County: Romania] 642030 Satu Mare [County: Romania] 642031 Salaj [County: Romania] 642032 Sibiu [County: Romania] 642033 Suceava [County: Romania] 642034 Teleorman [County: Romania] 642035 Timis [County: Romania] 642036 Tulcea [County: Romania] 642037 Vaslui [County: Romania] 642038 Valcea [County: Romania] 642039 Vrancea [County: Romania] 642043 Bucharest Sector 1 to 6 [County: Romania] 642051 Calarasi, Giurgiu, Ialomita, Ilfov [County: Romania] 642097 Foreign country [County: Romania] 642098 Unknown [County: Romania] 642099 NIU (not in universe) [County: Romania] 646002 Byumba, Kigali Ngali, Kigali Ville, Kibungo, Umutara [Province: Rwanda] 646003 Gitarama [Province: Rwanda] 646004 Butare [Province: Rwanda] 646005 Gikongoro [Province: Rwanda] 646006 Cyangugu [Province: Rwanda] 646007 Kibuye [Province: Rwanda] 646008 Gisenyi [Province: Rwanda] 646009 Ruhengeri [Province: Rwanda] 646097 Foreign Countries [Province: Rwanda] 646098 Unknown [Province: Rwanda] 646099 NIU [Province: Rwanda] 705001 Pomurska [Region: Slovenia] 705002 Podravska [Region: Slovenia] 705003 Koroška [Region: Slovenia] 705004 Savinjska [Region: Slovenia] 705005 Zasavska [Region: Slovenia] 705006 Spodnjeposavska [Region: Slovenia] 705007 Jugovzhodna Slovenija [Region: Slovenia] 705008 Osrednjeslovenska [Region: Slovenia] 705009 Gorenjska [Region: Slovenia] 705010 Notranjsko-kraška [Region: Slovenia] 705011 Goriška [Region: Slovenia] 705012 Obalno-kraška [Region: Slovenia] 705097 Abroad [Region: Slovenia] 705999 NIU (not in universe) [Region: Slovenia] 710001 Western Cape [Province: South Africa] 710004 Free State [Province: South Africa] 710005 Eastern Cape, KwaZulu-Natal [Province: South Africa] 710007 Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa] 710097 Foreign country [Province: South Africa] 710098 Unknown [Province: South Africa] 710099 NIU (not in universe) [Province: South Africa] 724011 Galicia [Communities & autonomous city: Spain] 724012 Principado de Asturias [Communities & autonomous city: Spain] 724013 Cantabria [Communities & autonomous city: Spain] 724021 País Vasco [Communities & autonomous city: Spain] 724022 Comunidad Foral de Navarra [Communities & autonomous city: Spain] 724023 La Rioja [Communities & autonomous city: Spain] 724024 Aragón [Communities & autonomous city: Spain] 724030 Comunidad de Madrid [Communities & autonomous city: Spain] 724041 Castilla y León [Communities & autonomous city: Spain] 724042 Castilla-La Mancha [Communities & autonomous city: Spain] 724043 Extremadura [Communities & autonomous city: Spain] 724051 Cataluña [Communities & autonomous city: Spain] 724052 Comunidad Valenciana [Communities & autonomous city: Spain] 724053 Islas Baleares [Communities & autonomous city: Spain] 724061 Andalucía [Communities & autonomous city: Spain] 724062 Región de Murcia [Communities & autonomous city: Spain] 724063 Ciudad Autónoma de Ceuta [Communities & autonomous city: Spain] 724064 Ciudad Autónoma de Melilla [Communities & autonomous city: Spain] 724070 Canarias [Communities & autonomous city: Spain] 724097 Abroad [Communities & autonomous city: Spain] 724999 NIU (not in universe) [Communities & autonomous city: Spain] 740001 Paramaribo [District: Suriname] 740002 Wanica [District: Suriname] 740003 Nickerie [District: Suriname] 740005 Saramacca, Coronie [District: Suriname] 740006 Marowijne, Commewijne [District: Suriname] 740008 Brokopondo, Para [District: Suriname] 740010 Sipaliwini [District: Suriname] 740096 Suriname, district unknown [District: Suriname] 740097 Foreign [District: Suriname] 740098 Unknown [District: Suriname] 764010 Bangkok [Province: Thailand] 764011 Samut Prakan [Province: Thailand] 764012 Nonthaburi [Province: Thailand] 764013 Pathum Thani [Province: Thailand] 764014 Phra Nakhon Si Ayutthaya [Province: Thailand] 764015 Ang Thong [Province: Thailand] 764016 Lop Buri [Province: Thailand] 764017 Sing Buri [Province: Thailand] 764018 Chai Nat [Province: Thailand] 764019 Sa Kaeo, Prachin Buri [Province: Thailand] 764020 Chon Buri [Province: Thailand] 764021 Rayong [Province: Thailand] 764022 Chanthaburi [Province: Thailand] 764023 Trat [Province: Thailand] 764024 Chachoengsao [Province: Thailand] 764026 Nakhon Nayok [Province: Thailand] 764027 Saraburi [Province: Thailand] 764030 Nakhon Ratchasima [Province: Thailand] 764031 Buri Ram [Province: Thailand] 764032 Surin [Province: Thailand] 764033 Si Sa Ket [Province: Thailand] 764034 Ubon Ratchathani, Yasothon, Amnat Charoen [Province: Thailand] 764036 Chaiyaphum [Province: Thailand] 764039 Nong Bua Lam Phu, Udon Thani [Province: Thailand] 764040 Khon Kaen [Province: Thailand] 764042 Loei [Province: Thailand] 764043 Nong Khai [Province: Thailand] 764044 Maha Sarakham [Province: Thailand] 764045 Roi Et [Province: Thailand] 764046 Kalasin [Province: Thailand] 764047 Sakon Nakhon [Province: Thailand] 764048 Nakhon Phanom, Mukdahan [Province: Thailand] 764050 Chiang Mai [Province: Thailand] 764051 Lamphun [Province: Thailand] 764052 Lampang [Province: Thailand] 764053 Uttaradit [Province: Thailand] 764054 Phrae [Province: Thailand] 764055 Nan [Province: Thailand] 764057 Phayao, Chiang Rai [Province: Thailand] 764058 Mae Hong Son [Province: Thailand] 764060 Nakhon Sawan [Province: Thailand] 764061 Uthai Thani [Province: Thailand] 764062 Kamphaeng Phet [Province: Thailand] 764063 Tak [Province: Thailand] 764064 Sukhothai [Province: Thailand] 764065 Phitsanulok [Province: Thailand] 764066 Phichit [Province: Thailand] 764067 Phetchabun [Province: Thailand] 764070 Ratchaburi [Province: Thailand] 764071 Kanchanaburi [Province: Thailand] 764072 Suphanburi [Province: Thailand] 764073 Nakhon Pathom [Province: Thailand] 764074 Samut Sakhon [Province: Thailand] 764075 Samut Songkhram [Province: Thailand] 764076 Phetchaburi [Province: Thailand] 764077 Prachuap Khiri Khan [Province: Thailand] 764080 Nakhon Si Thammarat [Province: Thailand] 764082 Phangnga [Province: Thailand] 764083 Phuket [Province: Thailand] 764084 Krabi, Surat Thani [Province: Thailand] 764086 Ranong, Chumphon [Province: Thailand] 764090 Songkhla [Province: Thailand] 764091 Satun [Province: Thailand] 764092 Trang [Province: Thailand] 764093 Phatthalung [Province: Thailand] 764094 Pattani [Province: Thailand] 764095 Yala [Province: Thailand] 764096 Narathiwat [Province: Thailand] 764097 Same province [Province: Thailand] 764098 Unknown province, but within Thaliand [Province: Thailand] 764997 Abroad [Province: Thailand] 764998 Unknown [Province: Thailand] 764999 NIU (not in universe) [Province: Thailand] 768001 Maritime, Lomé [Region: Togo] 768002 Plateaux, Centrale, Kara [Region: Togo] 768003 Savanes [Region: Togo] 768097 Foreign Country [Region: Togo] 768098 Unknown [Region: Togo] 768099 NIU [Region: Togo] 780010 Port of Spain [Region: Trinidad and Tobago] 780020 San Fernando [Region: Trinidad and Tobago] 780080 Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin, Caroni, St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago] Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin, Caroni, St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago] 780094 St. Paul, St. Mary, St. David, St. George, St. Patrick, St. Andrew, St. John, Tobago [Region: Trinidad and Tobago] 780098 Unknown [Region: Trinidad and Tobago] 800101 Kalangala [District: Uganda] 800102 Kampala [District: Uganda] 800103 Kiboga, Kyankwanzi [District: Uganda] 800104 Luwero, Nakasongola, Nakaseke [District: Uganda] 800105 Masaka, Ssembabule, Bukomansimbi, Kalungu, Lwengo [District: Uganda] 800106 Mpigi, Wakiso, Butambala, Gomba [District: Uganda] 800107 Mubende, Mityana [District: Uganda] 800108 Mukono, Kayunga, Buikwe, Buvuma [District: Uganda] 800110 Rakai, Lyantonde [District: Uganda] 800201 Bugiri, Iganga, Mayuge, Namutumba, Luuka, Namayingo [District: Uganda] 800202 Busia, Tororo, Butaleja [District: Uganda] 800204 Jinja [District: Uganda] 800205 Kamuli, Kaliro, Buyende [District: Uganda] 800206 Kapchorwa, Bukwo, Kween [District: Uganda] 800207 Katakwi, Soroti, Kaberamaido, Amuria, Serere [District: Uganda] 800208 Kumi, Bukedea, Ngora [District: Uganda] 800209 Mbale, Sironko, Bududa, Manafwa, Bulambuli [District: Uganda] 800210 Pallisa, Budaka, Kibuku [District: Uganda] 800301 Adjumani, Moyo [District: Uganda] 800302 Apac, Oyam, Kole [District: Uganda] 800303 Arua, Yumbe, Koboko, Maracha [District: Uganda] 800304 Gulu, Amuru, Nwoya, Omoro [District: Uganda] 800305 Kitgum, Pader, Agago, Lamwo [District: Uganda] 800306 Kotido, Moroto, Nakapiripirit, Abim, Kaabong, Amudat, Napak [District: Uganda] 800307 Lira, Amolatar, Dokolo, Alebtong, Otuke [District: Uganda] 800310 Nebbi, Zombo [District: Uganda] 800401 Bundibugyo, Ntoroko [District: Uganda] 800402 Bushenyi, Mbarara, Ntungamo, Ibanda, Isingiro, Kiruhura, Buhweju, Mitooma, Rubirizi, Sheema [District: Uganda] 800403 Hoima [District: Uganda] 800404 Kabale, Rubanda [District: Uganda] 800405 Kabarole, Kamwenge, Kyenjojo, Kyegegwa [District: Uganda] 800406 Kasese [District: Uganda] 800407 Kibaale, Kagadi, Kakumiro [District: Uganda] 800408 Kisoro [District: Uganda] 800409 Masindi, Buliisa, Kiryandongo [District: Uganda] 800412 Rukungiri, Kanungu [District: Uganda] 800096 Visitor [District: Uganda] 800097 Foreign country [District: Uganda] 800098 Unknown [District: Uganda] 804001 The Autonomous Republic of Crimea [Region: Ukraine] 804005 Vinnytska oblast [Region: Ukraine] 804007 Volynska oblast [Region: Ukraine] 804012 Dnipropetrovska oblast [Region: Ukraine] 804014 Donetska oblast [Region: Ukraine] 804018 Zhytomyrska oblast [Region: Ukraine] 804021 Zakarpatska oblast [Region: Ukraine] 804023 Zaporizka oblast [Region: Ukraine] 804026 Ivano-Frankivska oblast [Region: Ukraine] 804032 Kyivska oblast [Region: Ukraine] 804035 Kirovohradska oblast [Region: Ukraine] 804044 Luhanska oblast [Region: Ukraine] 804046 Lvivska oblast [Region: Ukraine] 804048 Mykolaivska oblast [Region: Ukraine] 804051 Odeska oblast [Region: Ukraine] 804053 Poltavska oblast [Region: Ukraine] 804056 Rivnenska oblast [Region: Ukraine] 804059 Sumska oblast [Region: Ukraine] 804061 Ternopilska oblast [Region: Ukraine] 804063 Kharkivska oblast [Region: Ukraine] 804065 Khersonska oblast [Region: Ukraine] 804068 Khmelnytska oblast [Region: Ukraine] 804071 Cherkaska oblast [Region: Ukraine] 804073 Chernivetska oblast [Region: Ukraine] 804074 Chernihivska oblast [Region: Ukraine] 804080 Kyiv (independent city) [Region: Ukraine] 804085 Sevastopol (independent city) [Region: Ukraine] 804097 Foreign country [Region: Ukraine] 804098 Unknown [Region: Ukraine] 804099 NIU (not in universe) [Region: Ukraine] 858001 Montevideo [Department: Uruguay] 858002 Artigas [Department: Uruguay] 858003 Canelones [Department: Uruguay] 858004 Cerro Largo [Department: Uruguay] 858005 Colonia [Department: Uruguay] 858006 Durazno [Department: Uruguay] 858007 Flores [Department: Uruguay] 858008 Florida [Department: Uruguay] 858009 Lavalleja [Department: Uruguay] 858010 Maldonado [Department: Uruguay] 858011 Paysandú [Department: Uruguay] 858012 Río Negro [Department: Uruguay] 858013 Rivera [Department: Uruguay] 858014 Rocha [Department: Uruguay] 858015 Salto [Department: Uruguay] 858016 San Jose [Department: Uruguay] 858017 Soriano [Department: Uruguay] 858018 Tacuarembó [Department: Uruguay] 858019 Treinta Y Tres [Department: Uruguay] 858097 Abroad [Department: Uruguay] 858098 Unknown [Department: Uruguay] 858999 NIU (not in universe) [Department: Uruguay] 862001 Federal District, Vargas [State: Venezuela] 862002 Amazonas Federal Territory [State: Venezuela] 862003 Anzoátegui [State: Venezuela] 862004 Apure [State: Venezuela] 862005 Aragua [State: Venezuela] 862007 Bolívar [State: Venezuela] 862008 Carabobo [State: Venezuela] 862009 Cojedes [State: Venezuela] 862010 Amacuros Delta Federal Territory [State: Venezuela] 862011 Falcón [State: Venezuela] 862012 Guárico [State: Venezuela] 862013 Lara [State: Venezuela] 862014 Barinas, Mérida [State: Venezuela] 862015 Miranda [State: Venezuela] 862016 Monagas [State: Venezuela] 862017 Nueva Esparta, Federal Dependencies [State: Venezuela] 862018 Portuguesa [State: Venezuela] 862019 Sucre [State: Venezuela] 862020 Táchira [State: Venezuela] 862021 Trujillo [State: Venezuela] 862022 Yaracuy [State: Venezuela] 862023 Zulia [State: Venezuela] 862097 Foreign country [State: Venezuela] 862098 Unknown [State: Venezuela] 862099 NIU (not in universe) [State: Venezuela] Migration: Global Variables -- PERSON Years residing in current locality MIGYRS1 indicates how many years the person has resided in their current locality of residence. 00 Less than 1 year 01 1 year (or 1 year or less) 02 2 years 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95+ years 96 Less than 5 years 97 More than 5 years 98 Unknown 99 NIU (not in universe) Migration: Global Variables -- PERSON Province of previous residence, Chile, 1960; consistent boundaries, GIS MIG1ALT_P_CL indicates the person's province of previous residence in 1960. Click on the Source Variables tab for information on place of residence for each sample year. Source variables may contain more geographic unit detail but are not suitable for cross-temporal comparison. 152001 Tarapaca 152002 Antofagasta 152003 Atacama 152004 Coquimbo 152005 Aconcagua 152006 Valparaíso 152007 Santiago 152008 O'Higgins 152009 Colchagua 152010 Curicó 152011 Talca 152012 Maule 152013 Linares 152014 Ñuble 152015 Concepción 152016 Arauco 152017 Bío Bío 152018 Malleco 152019 Cautín 152020 Valdivia 152021 Osorno 152022 Llanquihue 152023 Chiloé 152024 Aysén 152025 Magallanes 152097 Foreign country 152098 Unknown 152099 NIU (not in universe) Migration: A-E Variables -- PERSON Person number Chile 1960: All persons This variable indicates the person number of the individual in the household. 0 Household record 1 1 Technical Person Variables -- PERSON Sex <svar v="CL60A409" a="all">2. Sex. ____<br /><br />Write H if male and M if female.<br /></svar> <svar v="CL60A409" a="all">Column 2: Sex. Write down the appropriate sex.<br /></svar> Chile 1960: All persons This variable indicates the respondent's sex. 1 Male 2 Female 9 Unknown Demographic Variables -- PERSON Relationship to household head <svar v="CL60A410" a="all">3. Relationship ____<br /><br />On the first line the word "head" is already printed following the spaces for name and sex of the person recognized as head of the family. For the rest, write the relationship that person has to the above-specified head. Examples: wife, son, uncle, guest, boarder, domestic servant, etc.<br /></svar> <svar v="CL60A410" a="all">Column 3: Family relationship or other relationship to the head. The title "head" is already printed on the first line of the form. On the following lines, that correspond to the rest of the family members, write down the family or other relationship that connects them to the "head," for example: wife, son, son-in-law, domestic employee, etc.<br /><br />If the family is based on a consensual union, write it down as a reciprocal relationship between the man and the woman: or <span class="lang">conviviente</span> [partner, companion].<br /><br />In the case of relatives of workers, boarders, close friends, guests, domestic employees, etc., write down: son of boarder, son of domestic employee, nephew of close friend, as the case may be. In the case of unrelated or institutional groups, write in this column the person's rank, in other words, whatever rank was used to determine the order in which you wrote their name in column 1; in other words, in the case of the heads of the institution: Director, <span class="lang">Alcalde</span> [generally a mayor, but can be used also for other director/leadership/administrative positions], Superintendent, Inspector, etc., and for the rest of the group: patient, <span class="lang">asilado</span> [person living in a retirement/nursing home], inmate, boarder [in a boarding school, for example], etc., as the case may be. If two or more people who are not relatives occupy the same dwelling, record one of them as the "head" and the other(s) as "companion(s)".<br /></svar> Chile 1960: All persons This variable indicates the respondent's relationship to the household head. 01 Household head 02 Spouse or partner 03 Children and stepchildren 04 Other relative 05 Domestic servants (maids) 06 Friends, acquaintances, freeloaders, boarders 07 Tenant 08 Collective members 09 Other not specified in previous groups 99 Unknown Demographic Variables -- PERSON Age in years and months <svar v="CL60A411 CL60A426" a="all">4. Age. ____<br /><br />Write the age in years completed. For those under 1 year write the months completed. For those under 1 month write 0 months.<br /><div class="i1">Example:<br />0 months<br />1 month<br />2 months<br />3 months</div><br /></svar> <svar v="CL60A411 CL60A426" a="all">Column 4: Age. Age in completed years means the age that the person reached upon their last birthday. One way to verify the correctness of the age stated by the person being enumerated is to ask for their date of birth, if they are able to provide that information.<br /><br />The enumerator must take into account the common tendency of people to round their age, particularly to figures that end in zero or five. It is especially important to find out the date of birth in these cases.<br /><br />If the person doesn't know their age, and you can't find any way to determine it, be it by using documents belonging to the individual or references from neighbors, make an estimate of their age. If not present, use information from people present who know the person being enumerated. For those under one year of age, don't forget to write the word "month(s)" immediately after the corresponding number. So, 1 month, 3 months, etc. <br /></svar> Chile 1960: All persons This variable indicates the respondent's age. 001 1 year 002 2 years 003 3 years 004 4 years 005 5 years 006 6 years 007 7 years 008 8 years 009 9 years 010 10 years 011 11 years 012 12 years 013 13 years 014 14 years 015 15 years 016 16 years 017 17 years 018 18 years 019 19 years 020 20 years 021 21 years 022 22 years 023 23 years 024 24 years 025 25 years 026 26 years 027 27 years 028 28 years 029 29 years 030 30 years 031 31 years 032 32 years 033 33 years 034 34 years 035 35 years 036 36 years 037 37 years 038 38 years 039 39 years 040 40 years 041 41 years 042 42 years 043 43 years 044 44 years 045 45 years 046 46 years 047 47 years 048 48 years 049 49 years 050 50 years 051 51 years 052 52 years 053 53 years 054 54 years 055 55 years 056 56 years 057 57 years 058 58 years 059 59 years 060 60 years 061 61 years 062 62 years 063 63 years 064 64 years 065 65 years 066 66 years 067 67 years 068 68 years 069 69 years 070 70 years 071 71 years 072 72 years 073 73 years 074 74 years 075 75 years 076 76 years 077 77 years 078 78 years 079 79 years 080 80 years 081 81 years 082 82 years 083 83 years 084 84 years 085 85 years 086 86 years 087 87 years 088 88 years 089 89 years 090 90 years 091 91 years 092 92 years 093 93 years 094 94 years 095 95 years 096 96 years 097 97 years 098 98 years 099 99 years 100 100 years + 200 0 months 201 1 months 202 2 months 203 3 months 204 4 months 205 5 months 206 6 months 207 7 months 208 8 months 209 9 months 210 10 months 211 11 months 999 Unknown Demographic Variables -- PERSON Marital status <svar v="CL60A412" a="all">5. Marital status ____<br /><br />Write as appropriate: S single, C married, CV consensual union, V widowed, SP separated de facto or legally, A annulled<br /></svar>. <svar v="CL60A412" a="all">Column 5: Marital Status. Write down [the appropriate status for] each case, according to the following definitions:<br /><br />Single: One who has ever been married and doesn't live in a marital situation [<span class="lang">maritalmente</span>].<br /><br />Married: One who has established marital bonds (civil or religious, or both) and continues in that state.<br /><br />Consensual Union: One who, without having married another person, lives in a marital union with that person. <br /><br />Widow/er: One who, having been married, has had their spouse die and who has not remarried nor lives in a marital union.<br /><br />De facto separated: A married person who lives separately from their spouse without a judicial ruling of legal separation or annulment of the marriage.<br /><br />Legally separated: One who, having been married, lives separately, temporarily or transitionally, from their spouse due to a judicial ruling and who does not live in a marital situation.<br /><br />Annulled: One who ceased to be married because their marriage was annulled by a judicial ruling, and who does not live in a marital situation.<br /><br />If the first and last name of a woman who declares herself to be married don't include the last name of her spouse, the enumerator should make sure that this is the true marital status. Nevertheless, this question should be asked very discretely, as in any case where there is doubt about the reported marital status.<br /></svar> Chile 1960: All persons This variable indicates the respondent's marital status. 1 Single 2 Married 3 Consensual union 4 Widowed 5 Separated de facto or legally 6 Annulled 9 Unknown Demographic Variables -- PERSON Number of live births <svar v="CL60A413" a="all">6. Number of children. ____<br /><br />For women 12 years of age and older.<br /><br />Write the number of children born alive, excluding those stillborn.<br /></svar> <svar v="CL60A413" a="all">Column 6: Number of children. This question should be asked only of all women 12 years old or older. Record the total number of children born alive, including children who have died and excluding both aborted children and stillborn children. If one reports not to have had any children born alive or who have died, draw a short horizontal line. The question should be asked of all women over the age specified [12 or over], without taking into account the marital status they have reported.<br /><br />It should be noted that there is a tendency to forget or not report live-born children who are not at home with the mother, because of living at teaching establishments or living with other relatives, which tends to happen with children from previous marriages and consensual unions.<br /><br />For this reason, the enumerator should try to obtain the most precise figure possible of the total number of live-born children the mothers have had. At the same time, they must use extreme courtesy and discretion when asking the question. Despite everything, just because someone refuses to answer or criticizes the enumerator's questions about possible children of a single mother, this should not be a reason to stop asking the same question in all households to be enumerated, explaining that this is a necessary piece of data in order to know the fertility in our country.<br /></svar> Chile 1960: Females age 12+ [discrepancies: type I 0.23%; type II none] This variable indicates the respondent's number of live births. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Province of birth <svar v="CL60A414" a="all">7. Place of birth. ____<br /><br />If the person was born in Chile, write the province where born. If born abroad, write the name of the country where born.<br /></svar> <svar v="CL60A414" a="all">Column 7: Place of birth. For those born in the country, record the name of the province where they were born. If the person being enumerated doesn't know the name of the province, record the name of the municipality, and if that name is not known either, record the name of the locality or town where they were born. For those born abroad, record the name of the country in accordance with the borders and name of the country on the date of the Census. If the person doesn't know or has doubts about the name of their country [of birth] on the date of the census, record the name of the country on the date of the person's birth, but in this case it should appear in the "Observations" section. <br /></svar> Chile 1960: All persons This variable indicates the respondent's place of birth. 01 Tarapaca 02 Antofagasta 03 Atacama 04 Coquimbo 05 Aconcagua 06 Valparaiso 07 Santiago 08 Ohiggins 09 Colchagua 10 Curico 11 Talca 12 Maule 13 Linares 14 Nuble 15 Concepcion 16 Arauco 17 Bio Bio 18 Malleco 19 Cautin 20 Valdivia 21 Osorno 22 Llanquihue 23 Chiloe 24 Aysen 25 Magallanes 28 Foreign country (undocumented) 99 Unknown Nativity and Birthplace Variables -- PERSON Number of years person has lived in place of enumeration <svar v="CL60A415" a="all">8. Year ____<br /><br />Write the year in which the person came to live in the place of enumeration. If the person has always lived in the place of enumeration, write "always." If the person is a resident in transit, write "in transit."<br /></svar> <svar v="CL60A415" a="all">Column 8: Year. Record the year in which the person came to live or reside at the place being enumerated.<br /></svar> Chile 1960: All persons This variable indicates the year when the respondent arrived at the locality he/she is currently living (at the moment of the census). The name of the variable is year of residence. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 90 90 97 Always lived in place of enumeration 99 " Migration: Global Variables -- PERSON Province of previous residence <svar v="CL60A416" a="all">9. Previous residence ____<br /><br />Write the name of the province or country of where you came from.<br /><div class="i1">Examples:<br />Valdivia<br />Tarapacá<br />Magallanes<br />Argentina<br />España</div><br /><br />If the person changed residence due to earthquakes add the letter "D."<br /></svar> <svar v="CL60A416" a="all">Column 9: Previous Residence. Province or country resided in prior to the stated year. Only for anyone who reported having settled in the place of enumeration in a certain year (Column 8), write down the name of the province or country they came from.<br /><br /><span class="pg">[p. 35]</span><br /><br />If the person migrated within or outside of the province because of the earthquakes last May, add a "D" (Displaced), even if the person stated in column 8 that they moved temporarily.<br /></svar> Chile 1960: Migrants [discrepancies: type I 6.23%; type II none] This variable indicates the name of the province or country where the respondent was living before his/her current residence (at the moment of the census). 01 Tarapaca 02 Antofagasta 03 Atacama 04 Coquimbo 05 Aconcagua 06 Valparaiso 07 Santiago 08 Ohiggins 09 Colchagua 10 Curico 11 Talca 12 Maule 13 Linares 14 Nuble 15 Concepcion 16 Arauco 17 Bio Bio 18 Malleco 19 Cautin 20 Valdivia 21 Osorno 22 Llanquihue 23 Chiloe 24 Aysen 25 Magallanes 97 Foreign country (undocumented) 98 Unknown 99 NIU (not in universe) Migration: Global Variables -- PERSON Urban status of previous residence <svar v="CL60A417" a="all">10. Area ____<br /><br />If migrating from a city, town or village, write "U." If migrating from a rural area (countryside), write "R."<br /></svar> <svar v="CL60A417" a="all">Column 10: Area. Locality resided in prior to the stated year. If the person being enumerated came from a city, town, or village, put U for Urban; in all other cases, put R for Rural.<br /></svar> Chile 1960: Migrants [discrepancies: type I 6.6%; type II none] This variable indicates if the respondent's previous residence was an urban or rural zone. 1 Urban 2 Rural 8 Unknown 9 NIU (not in universe) Migration: Global Variables -- PERSON Religion <svar v="CL60A418" a="all">11. Religion ____<br /><br />Write the religion as given by the informant. If the person doesn't have a religion, write "none."<br /></svar> <svar v="CL60A418" a="all">Column 11: Religion. According to what each person states, record the religion professed, be it Catholic, Protestant, Jewish, Muslim, etc. If a person states that they don't practice any religion, record: None.<br /></svar> Chile 1960: All persons This variable indicates the respondent's religion. 0 Unknown 1 Roman Catholic 2 Protestant 3 Jewish 4 Ortodox 5 Muslim 6 Theosophia (Paganos Panteistas Teosofos) 7 Shinto 8 No Religion/other religion 9 No religion Ethnicity and Language Variables -- PERSON Literacy <svar v="CL60A419" a="all">12. Literacy ____<br /><br />If able to read and write, write "yes." If unable to read and write, write "no."<br /></svar> <svar v="CL60A419 CL60A420 CL60A421">Education: The following three questions should be answered by all people five years or older.<br /></svar></p> <p><svar v="CL60A419" a="all">Column 12: Literacy. Find out whether the person knows how to read and write, and write yes or no, as the case may be. If the person only knows how to read or only knows how to sign their name, record no in both cases.<br /></svar> Chile 1960: Persons age 5+ [discrepancies: type I trace; type II none] This variable indicates if the respondent is literate. 1 Writes and reads 2 Does not write and read 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Educational attainment <svar v="CL60A420" a="all">13. Educational level ____<br /><br />For all individuals, write the highest course completed and the type of instruction received.<br /><div class="i1">Examples:<br />2nd year Feminine technical<br />1st year High school or primary<br />2nd year Business school<br />4th year Medical<br />2nd year Social sciences<br />3rd year Law</div><br /></svar> <svar v="CL60A419 CL60A420 CL60A421">Education: The following three questions should be answered by all people five years or older.<br /></svar></p> <p><svar v="CL60A420" a="all">Column 13: Educational Attainment. Information should be collected on the last grade or the most advanced year of studies that the person has passed, not the grade that they are currently in or studying, nor the grade that they've been in or studied, but without having passed. Record, for example: 2nd [year of] primary [school]; 5th [year of] secondary [school]; 3rd [year of] law school, etc.<br /><br />In the case of a person who has studied and passed courses abroad, record the equivalent grade or year in the corresponding Chilean educational system.<br /><br />For those who have never attended school, record: "O". [Translator's note: this appears to be the letter "O" and not the number "0".]<br /></svar> Chile 1960: Persons age 5+ [discrepancies: type I trace; type II none] This variable indicates the respondent's educational attainment. 00 Do not attend 01 Kindergarden 10 Primary 11 First year primary 12 Second year primary 13 Third year primary 14 Fourth year primary 15 Fifth year primary 16 Sixth year of primary 20 Secondary 21 First year secondary 22 Second year secondary 23 Third year secondary 24 Fourth year secondary 25 Fifth year secondary 26 Sixth year of secondary 27 Seventh year of secondary 29 Eight year of secondary 30 Commercial 31 First year commercial 32 Second year commercial 33 Third year commercial 34 Fourth year commercial 35 Fifth year commercial 36 Sixth year commercial 37 Seventh year commercial 40 Craftsman, mining, fishing, arts, and function w/o specificity 41 First year craftsman, mining, fishing, arts and function w/o specificity 42 Second year craftsman, mining, fishing, arts and function w/o specificity 43 Third year craftsman, mining, fishing, arts and function w/o specificity 44 Fourth craftsman, mining, fishing, arts and function w/o specificity 45 Fifth craftsman, mining, fishing, arts and function w/o specificity 46 Sixth craftsman, mining, fishing, arts and function w/o specificity 50 Technical for Women 51 First year technical for women 52 Second year technical for women 53 Third year technical for women 54 Fourth year technical for women 55 Fifth year technical for women 56 Sixth year technical for women 60 Agricultural 61 First year agricultural 62 Second year agricultural 63 Third year agricultural 64 Fourth year agricultural 65 Fifth year agricultural 70 University 71 First year university 72 Second year university 73 Third year university 74 Fourth year university 75 Fifth year university 76 Sixth year university 77 Seventh year university 80 Other or non specified 84 Fourth year nonspecified 85 Fifth year non specified 86 Sixth year non specified 90 Special 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON School attendance <svar v="CL60A421" a="all">14. School attendance ____<br /><br />For those currently attending an educational establishment, write the level and type of instruction receiving.<br /><div class="i1">Examples:<br />3rd year High school or primary<br />2nd year Technical or trade school<br />3rd year Social sciences<br />3rd year Civil engineering<br />3rd year Business school<br />2nd year Metallurgy/mining technician</div><br /></svar> <svar v="CL60A421" a="all">Column 14: School Attendance. The person will be asked if they are attending a regular teaching establishment, with the grade or year being attended and type of instruction being received will be recorded.<br /><br />Regular teaching refers to that given in public and private teaching establishments under a teaching plan or program that has been officially approved in the country.<br /><br />Take into account, therefore, schools, primary schools [<span class="lang">colegios</span>], high schools [<span class="lang">liceos</span>], universities, academies, institutes, night schools, "popular" universities [<span class="lang">universidades populares</span>], home-schooling, etc. <br /><br />In accordance with this definition, record the year or grade and the type of instruction that is being received, for example: 3rd year of high school; 4th year of Social Sciences, etc.<br /><br />Nothing will be recorded for people who are only taking correspondence courses or piano, cooking, or embroidery classes, or shorthand or typing classes by <span class="pg">[p. 36]</span> the hour, as a complement to the education they've received. Both for these people and for those who don't attend any center for regular teaching, record "Doesn't attend".<br /></svar> Chile 1960: Persons age 5+ [discrepancies: type I trace; type II trace] This variable indicates the respondent's school attendance status. 00 None 01 Kindergarden 10 Primary 11 First year primary 12 Second year primary 13 Third year primary 14 Fourth year primary 15 Fifth year primary 16 Sixth year of primary 20 Secondary 21 First year secondary 22 Second year secondary 23 Third year secondary 24 Fourth year secondary 25 Fifth year secondary 26 Sixth year of secondary 30 Commercial 31 First year commercial 32 Second year commercial 33 Third year commercial 34 Fourth year commercial 35 Fifth year commercial 36 Sixth year commercial 37 Seventh year commercial 40 Craftsman, mining, fishing, arts, and function w/o specificity 41 First year craftsman, mining, fishing, arts and function w/o specificity 42 Second year craftsman, mining, fishing, arts and function w/o specificity 43 Third year craftsman, mining, fishing, arts and function w/o specificity 44 Fourth craftsman, mining, fishing, arts and function w/o specificity 45 Fifth craftsman, mining, fishing, arts and function w/o specificity 46 Sixth craftsman, mining, fishing, arts and function w/o specificity 50 Technical for Women 51 First year technical for women 52 Second year technical for women 53 Third year technical for women 54 Fourth year technical for women 55 Fifth year technical for women 56 Sixth year technical for women 60 Agricultural 61 First year agricultural 62 Second year agricultural 63 Third year agricultural 65 Fifth year agricultural 70 University 71 First year university 72 Second year university 73 Third year university 74 Fourth year university 75 Fifth year university 76 Sixth year university 77 Seventh year university 80 Other or non specified 90 Special 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Employment status <svar v="CL60A422 CL60A423 CL60A424 CL60A425">For all individuals 12 years of age and older. [applies to questions 15-18]<br /></svar></p> <p><svar v="CL60A422" a="all">15. Type of activity ____<br /><br />Write as appropriate:<br /><div class="i1">OC = Employed<br />CE = Unemployed<br />BT = Looking for work for the first time<br />QH = Domestic duties<br />ES = Student<br />RT = Rentier (<span class="lang">rentista</span>)<br />JB = Retired or pensioner<br />IR = Disabled or confined<br />OT = Others</div><br /></svar> <svar v="CL60A422" a="all">Column 15: Employment Status. The employment status or occupational situation of people on the "Day of the Census" will be recorded in this column, with the different situations being distinguished by various groups identified by the letters indicated in the header row [of this column]. The type of people that make up each group is specified below:<br /><br />Group "OC": (Employed). Includes all people employed on the day of the census, that is, that have a job.<br /><br />The following classes can be distinguished:<br /><br />a) People that work for another person who is not a relative, receiving monetary (salary, commission, etc.) compensation or payment in kind (house, food, etc.), whatever the type of work they do;<br /><br /><span class="pg">[p. 36]</span><br /><br />b) People who work on a large farm, in a business or industry, or practicing a profession, be it by themselves or with the help of one or more people they pay;<br /><br />c) People who work for a member of their family on a large farm, in a business, industry, or office, etc., with or without compensation.<br /><br />In this last situation (without compensation), the person must work at least three hours per day, or its equivalent of two eight-hour days per week.<br /><br />Also included in group "OC," that is, considered to be employed, will be those people who, on the date of the Census, are not working because of health reasons, vacation, strike, a temporary interruption of their job, or any other reason other than having permanently left [the job].<br /><br />Group "CE": (Unemployed). Includes people who, on the date of the Census, do not have an occupation or paid job, but who have worked and who are looking for work. Also included are those who aren't looking for work because they have gotten a job that will start after the date of the census.<br /><br />Group "BT": (Seeking work). Includes people who have never worked and who are seeking their first job.<br /><br />Group "QH": (Household duties). Includes people who devote themselves to household duties in their own households. <br /><br />When this work is compensated (monetarily or in kind), as is the case with domestic workers, the person in question will be recorded as employed within group "OC."<br /><br />Group "ES": (Student). Includes students who devote themselves exclusively to studying.<br /><br />If a person devoted to "household duties" or a "student" has a compensated occupation on the date of the Census, the person will in fact be part of the group "OC." <br /><br />[Translator's note: please see comment at beginning of document]<br /><br />Group "RT": [from <span class="lang">Rentista</span>] (Rentier). Includes those who don't work at any compensated activity and live off the profits of their capital.<br /><br />Group "JB": (Retiree or Pensioner). Includes those people who don't work at any compensated activity and who, because of having done so before under certain conditions, receive a pension. Also included in this group are widows and other people who receive a dependent's pension or a granted pension [<span class="lang">pensión de gracia</span>]. <br /><br />Group "IR": (Disabled or Imprisoned). Includes all those people who are unable to work at a compensated activity because of a physical or mental handicap, living a cloistered lifestyle, or because of their legal situation (prisoners). If the handicap is temporary, the person will be classified under the group "OC," as long as the person has some form of work secured.<br /><br /><span class="pg">[p. 38]</span><br /><br />Group "OT": (Others). Includes all people that can't be classified in any of the previous groups, like minors that don't attend school, the elderly without any economic resources, etc.<br /><br />Once the information for each case has been recorded in this column, continue with the information pertinent to the next column, column 16, only for those who have been classified in the groups: "OC," "CE," and "BT."<br /><br />For the rest of the people who belong to any one of the other groups ("QH," "ES," "RT," "JB, "m" [sic, census form states "IR" instead of "m"], and "OT"), that is the end of the census and a horizontal line should be drawn across columns 16, 17, and 18 for the corresponding entries on the enumeration form.<br /></svar> Chile 1960: Persons age 12+ [discrepancies: type I 0.16%; type II none] This variable indicates the respondent's employment status. 01 Employed 02 Unemployed 03 Seeking work for the first time 04 Housework 05 Student 06 Rentier 07 Pensioner or retiree 08 Disabled or imprisoned 09 Other 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Occupation <svar v="CL60A422 CL60A423 CL60A424 CL60A425">For all individuals 12 years of age and older. [applies to questions 15-18]<br /></svar></p> <p><svar v="CL60A423" a="all">16. Occupation ____<br /><br /><div class="i1">Only for those Employed, Unemployed, and Looking for work for the first time.<br /><br />If an Employed person has more than one job, write the one that produces the greatest income.<br /><br />For those Unemployed, write the last occupation held.<br /><br />For those Looking for work for the first time, write the profession, or if none, write "none."<br /><br />Avoid using vague terms, like "professional," "worker," and so on. Give concrete occupations such as Lawyer, Bricklayer, Taxi driver, Doctor, Soldier, Cashier, etc.</div><br /></svar> <svar v="CL60A423" a="all">Column 16: Occupation on the day of the Census. Write down the specific profession, trade, or type of job practiced on the day of the census, only for people classified in the previous column (Column 15), under one of the following groups: "Employed" (OC), "Unemployed" (CE), and "Seeking work for the first time" (BT).<br /><br />Avoid vague designations such as: assistant, manual laborer, machinist, office worker, seller, etc.; instead, use designations that give the best possible idea of the person's occupation, for example: agricultural engineer, movie projectionist, fruit vendor, travel agent, cobbler's apprentice, etc.<br /><br />There are some manual labor, artisan, and professional occupations that are precise simply by nature of their name, like: carpenter, bricklayer, plumber, physician, attorney, etc.<br /><br />Certain commercial occupations, however, require more specific information, such as: selling agent, counter attendant, etc. Also, in the case of office workers, clarify if the person is a typist, cashier, treasurer, accountant, filing-clerk, etc.<br /><br />In the case of professionals like physicians, attorneys, engineers, etc., that profession should normally be recorded. However, there are cases where these people don't practice those professions and instead devote themselves to other activities. For example, an attorney who works solely in bank management; a physician who devotes himself exclusively to teaching in a university. In these cases, record the latter profession, such as manager or university professor, as the case may be. For government employees write down their specific occupations, in accordance with the examples given previously, avoiding the designation "public employee."<br /><br />If the person is a member of the armed forces, (not including police officers), whatever the class or rank, record "Military."<br /><br />For domestic workers, it should be specified whether they are, for example, a cook, launderer, nanny, butler, etc. Likewise, for those who perform agricultural activities, the term "farmer" should be reserved for those who operate a farming/livestock facility, and not for those who perform general activities in the capacity of administrators, [p. 39] cowboys, shepherds, tractor-operators, cheesemakers, milkers, unskilled laborers, etc., for whom should be written down their specific occupation.<br /><br />For unemployed people (Group "CE"), record the last occupation practiced.<br /><br />For people who are seeking work for the first time (Group "BT"), record the profession, trade, or type of work for which they are qualified or prepared or, if they are not qualified or prepared for any, simply record: "none." Once this notation has been made, the census has ended for this group of people. Draw a horizontal line across columns 17 and 18 of the corresponding entries on the enumeration form for these people.<br /></svar> Chile 1960: Persons age 12+ This variable indicates the respondent's occupation. 0000 Civil construction architect 0001 Civil engineer 0002 Electrical and electronic engineers 0003 Mechanical engineer 0004 Mining engineer 0005 Chemical engineer 0006 Engineer n.e.c. 0007 Surveyors, cartographers and topographers 0008 Technical drafter 0009 Technician in engineering 0011 Physicist 0013 Pharmacist 0014 Chemist 0017 Laboratory technician 0018 Dental laboratory workers 0020 Agronomist in earth studies 0022 Agricultural specialist 0023 Bacteriologist 0030 Surgeon 0031 Dermatologist 0037 Physician n.e.c. 0039 Dentist 0043 Pedicurist 0045 Massage therapists 0046 Dieticians 0047 Radiographic operator 0050 Nurse 0051 Non-degreed nurse 0052 Professional nurse midwife 0053 Midwife 0054 Medical resident 0060 Preschool teacher 0061 Elementary school teacher 0062 High school teacher 0063 Commercial school teacher 0064 Industrial education teacher 0065 Feminine technician teacher 0066 Agricultural teacher 0067 University professor 0068 Special education teacher 0069 Other teachers 0072 Statistician 0073 Civil economics engineer 0074 Psychologist 0081 Lawyers, public defendants and attorneys 0082 Degreed judge 0083 Legal secretary 0084 Judicial receptionist 0088 Notary 0090 Artist painter 0091 Sculptor 0092 Music composer 0093 Artistic director 0094 Newspaper correspondence reporter 0095 Radio announcer 0097 Calligrapher 0098 Actors, singers and comedians 0099 Acrobats and circus performers 0100 Priests and pastors 0101 Monks and nuns 0102 Missionaries 0110 Social workers and assistants 0120 Taster 0123 Librarians and archivists of documents 1000 Public administration administrator 1010 Directive employees of municipal administration 1020 Members of parliament 1040 Customs inspector 1050 Municipal inspector 1100 Wholesale commerce administrator 1110 Retail commerce administrator 1200 Forestry, lumber, and fishing administrator 1210 Quarry extraction administrator 1220 Factory administrator 1230 Construction administrator 1240 Insurance administrator 1250 Railroad conductor 1260 Warehouse and storage administrator 1270 Water and sanitary services administrator 1280 Hotel administrator 2000 Accountant 2010 Accounting auditor 2100 Accounting assistant 2110 Bank cashier/teller 2120 Commercial cashier 2130 Financial business cashier 2140 Billing clerk 2150 Account collector 2200 Typist 2210 Short-hand secretary 2300 Operator of IBM machines or similar 2310 Operator of accounting machines 2500 Home delivery mailmen 2510 Home delivery messengers 2520 Telegraph and cable messengers 2540 Errand boy 2550 Other messengers 2600 Telephone operator 2610 Private central operator (private switchboard) 2620 Telegraph operator 2650 Radio emissions operator 2660 Radio communications operator 2700 Bus and trolley fare collector 2710 Bus and trolley inspectors 2720 Other occupations in transportation, not in another category 2800 Warehouse worker 2810 Correspondence archivist 2840 Assistant to a medical consultant 2850 Secretary 2860 Print copy editor 2870 Assistant in commerce 3000 Owner-salesmen in wholesale commerce 3010 Owner-salesmen in retail commerce 3100 Employees in food stores 3110 Employees in clothing and footwear stores 3120 Employees in pharmacies and perfume stores 3130 Employees in bookstores and tobacco stores 3140 Employees in temporary/mobile stores, hardware stores, furniture stores 3150 Employees in other stores not in another category 3160 Newspaper vendor (sidewalk vendor of newspapers) 3200 Merchant broker 3210 Distributor (merchandize distributor) 3220 Representative of commercial businesses 3230 Wholesale commission vender 3310 Real estate broker 3320 Stock and investment broker 3360 Advertiser 3390 Customs dispatcher 3391 Other venders not in another category 3392 Commission salesperson in real estate commerce 4000 Orchard grower 4010 Wine orchard producer 4020 Administrator of agricultural enterprise 4040 Bird farmer 4060 Agricultural overseer and manager 4100 Agricultural worker, temporary agricultural laborer 4110 Animal trainer 4120 Corral worker 4130 Sheerer (animal sheerer) 4140 Driver of agricultural machinery 4150 Gardener 4160 Pasture producer 4180 Caretaker of agricultural properties 4200 Fisherman in freshwater and coastal waters 4210 Deep-sea fisherman 4220 Fishing diver 4250 Shrimp breeders/trappers 4300 Hunters 4400 Firewood cutter 4420 Lumberjack 4430 Logger 4450 Woodcoal producer (in the field) 4480 Sawmill operator 4490 Cubic measurer of trees and wood 4491 Workers in forest repopulation and fire prevention 5000 Coal miners 5010 Copper miners 5020 Iron miners 5030 Miners of other metal-minerals 5110 Operators in copper treatment plants 5120 Operators in iron treatment plants 5130 Operators in treatment plants for other minerals 5200 Loader/carter of coal and metal minerals 5210 Machinist in coal and metal mineral mines 5220 Truck driver in coal and metal mineral mines 5230 Operator of coal and mineral cages 5240 Other coal and metal mineral workers 5300 Quarry workers 5310 Nitrate and iodine miners 5320 Sulfur miners 5330 Salt miners 5340 Miners of other non-metal minerals not in another category 5400 Operators in quarry treatments 5410 Operators in nitrate and iodine treatments 5500 Loaders of minerals extracted from quarries 5510 Locomotive operators in quarries 5540 Other quarry workers 5600 Well-diggers in petroleum and gas wells 5610 Well-installers in petroleum and gas wells 5700 Workers in oil wells 5800 Mine overseer and worker in non-specified mines 6000 Taxi driver 6010 Automobile driver except taxi driver 6020 Truck driver 6030 Omni-bus driver 6050 Horse cart driver 6070 Motorcycle driver 6080 Driver of draft animals 6110 Assistant in electric or diesel locomotive 6120 Machinist in steam locomotive 6130 Fireman in steam locomotive 6200 Ship captain 6210 Deck officer 6220 Marine mechanical inspector 6300 Deck sailor 6310 Sailor in machine room 6320 Marine machinist 6330 Boatman 6350 Sea officer 6360 Cabin boy 6380 Ship fireman 6430 Aviation co-pilot 6500 Railroad brakeman 6930 Buoy setter 7000 Fiber carder 7010 Fiber classifier 7020 Bobbin winder of threads and threaders 7030 Sock maker 7040 Knitters 7090 Knitters, not in a factory 7100 Suit cutters 7110 Tailor/cutter in a factory 7120 Vest maker 7130 Skin/leather worker 7140 Embroiderer 7150 Button maker/installer 7180 Mattress maker 7190 Corset maker 7200 Footwear assembler 7210 Footwear pattern maker 7220 Sewer in footwear manufacture 7240 Footwear finisher 7260 Shoe repairman 7270 Operators in shoe repair 7280 Leather selector 7290 Harness maker 7300 Carpenter 7310 Shipbuilding carpenter 7320 Chassis carpenter 7330 Barrel carpenter 7340 Construction carpenter 7350 Adjustor of wood strippers 7360 Finisher of wood furniture 7370 Precision lumber sawmills 7380 Wood carver 7390 Varnisher 7400 Laborer in stone masonry 7420 Patio brick installer 7430 Street/pavement stone installer 7440 Stucco installers 7470 Window/glass installer 7500 Wall paper installers 7510 Vehicle painters 7530 Painters not in another category 7600 Plumber 7610 Assembler of metal structures 7620 Installer of bars in reinforced concrete 7640 Boilermaker in copper and other light alloys 7650 Welding operator 7660 Tinsmith 7670 Chrome installer 7680 Toilet installer 7700 Electrician 7710 Adjusting electrician 7720 Electrician installer of high-tension lines 7730 Watchman of telegraph lines (lineman) 7740 Electrician installer of electrical cables 7750 Electrician radio repairman 7770 Automobile electrician 7790 Dispatcher of central electrical loads 7800 Mechanic/repairmen 7810 Mechanic adjuster 7820 Automobile assembler 7830 Mechanic of aviation hangars 7840 Mechanic of maritime vehicles 7850 Mechanic of railroad vehicles 7860 Installer of tooling machines 7870 Operator of metal tooling machines 7890 Gunsmith 7900 Mechanic of precision instruments 7920 Clock maker, watch maker 7930 Precious metal jeweler (chain/necklace maker) 7960 Mechanic of calculating machines 7970 Mold maker/operator 7980 Installer of wires and cables 7982 Lubricator of machinery and vehicles 7983 Operator of non-mobile machinery 7984 Fireman, except in locomotives 7985 Operator of construction machinery 7986 Binder 7987 Operator of printing press 7988 Typographer 7989 Photographer and engraver 7990 Lithographer 7991 Lino-typesetter 7992 Type setter 7993 Other occupations related to copier, etc. 7994 Wood lathe 7995 Other operators in textile factories 7996 Wood carver 7997 Wood worker 7998 Textile machine repairman 7999 Tool sharpener 8000 Foundry worker 8010 Operator of a metal molding machine 8020 Metal reheater 8030 Blacksmiths 8040 Metal folder 8060 Operator of a press for stretching metals 8080 Metal cementer 8100 Abrasive mixer 8130 Operators of glass blowing machinery 8140 Operators of presses for stretching ceramics 8150 Builder of ceramic pillars 8160 Brick and cement tube makers 8170 Tile maker in the manufacture of roof tiles 8190 Industrial glass engraver 8200 Sulfur cookers 8210 Bleacher in the manufacture of paper paste 8230 Distiller of alcoholic beverages 8260 Worker in the manufacture of gun powder 8270 Petroleum distiller 8300 Supplier 8310 Rice miller 8320 Kneader in the manufacture of bread 8330 Caramel maker in the manufacture of caramel 8340 Cream skimmer 8350 Freezer of food products 8370 Conserve cooker 8400 Cigarette maker 8430 Operator of machines for chopping tobacco 8540 Tanners 8570 Tanning solution preparers 8580 Leather classifiers 8600 Cardboard box maker 8640 Paper article manufacturer 8700 Operators in manufacturing machinery 8710 Operators in manufacturing electrical equipment 8720 Operators in manufacturing transportation equipment 8900 Stone cutter 8910 Manufacturer of musical instruments 8920 Sandal maker [specific type of sandal with straps around the ankle] 8930 Laminator of plastic materials 8940 Basketweaver in the manufacture of baskets 8950 Brushmaker 8980 Manufacturer of pneumatic tires 8981 Manufacturer of wax 8982 Packer 8983 Bottler of foods and beverages 8984 Packer of hand-packed articles 8985 Labeler 8987 Factory janitor 8988 Day laborer in factory, without more specifics 8989 Recorders and decorators 8990 Other operators in ceramics and glass 8991 Winery worker 8992 Operators in the manufacture of soft drinks and vinegars 8993 Factory worker 9000 Construction master 9010 Laborer in ship construction 9100 Loader of petroleum ships 9110 Loader in stores 9120 Loader in airplanes 9130 Laborer in transportation and cargo 9200 Presser in establishments 9210 Clothing dry-cleaner 9300 Day laborer in commerce 9310 Garage lubricator 9320 Traveling sharpener [knife and tool sharpener] 9330 Day laborer in government services 9340 Day laborer in recreational services 9350 Cleaner in public services 9360 Workers n.e.c. 9500 Firemen rented and in a fire station 9501 Carbine soldier 9502 Police officer 9503 Detective 9504 Private detective, private police guard, and private police 9505 Watchman 9510 Cook in private homes 9511 Nanny and wet-nurse 9512 Domestic service employee 9513 Housekeeper in private home 9514 Butler in a private home 9520 Laundress employed in a private home 9521 Self-employed launderer and presser 9530 Laundress in a private home and self-employed laundress 9531 Self-employed and private home presser 9532 Self-employed launderer and presser 9540 Bartender 9541 Waiter 9550 Supervisors in pensions (boarding houses) and guest houses 9551 Housekeeper not in private home 9552 Cook (not in private homes) 9553 Attendant in an airplane or ship, butler, headwaiter 9554 Traveling food vendors (for example, sidewalk vendors) 9560 Barbers and hairdressers 9561 Specialist in beauty treatments 9570 Doormen and concierges 9571 Elevator operators 9580 Cleaners and similar workers 9581 Jockey 9582 Physical education teacher and trainers 9600 Photographer 9700 Ushers in entertainment theaters 9702 Cashiers in casinos 9703 Prostitute 9704 Shoe shiner 9800 Embalmers and funeral workers 9900 Armed forces 9996 Look for work for the first time 9997 Non-identifiable occupations 9998 Persons who did not declare any occupation 9999 NIU (not in universe) Work: Occupation Variables -- PERSON Industry <svar v="CL60A422 CL60A423 CL60A424 CL60A425">For all individuals 12 years of age and older. [applies to questions 15-18]<br /></svar></p> <p><svar v="CL60A424" a="all">17. Industry ____<br /><br /><div class="i1">Only for those Employed and Unemployed.<br /><br />Specify clearly the type of establishment in which the employed person works or, if unemployed, the last place of employment, such as:<br /><br />Boys' school, wool blanket factory, commercial bank, general store, nail factory, livestock ranch, children's hospital, postal and telegraph office, armed forces, police, etc.<br /><br />Avoid vague terms such as: factory, office, workshop, etc.</div><br /></svar> <svar v="CL60A424" a="all">Column 17: Industry. Industry means the type of business, establishment, office, organization, company, institution, etc., where the person practices the previously-mentioned occupation.<br /><br />Write down this information only for those who have an occupation recorded in the previous column (Column 16) and who belong to either group "OC" (Employed) or "CE" (Unemployed).<br /><br />As in the case of occupation, try to record as specifically as possible, avoiding unclear terms, the type of establishment in which the person works or worked (if unemployed). So avoid terms like workshop, office, store, factory, business, etc., and instead specify in the following way: shoe factory, radio repair shop, electronics warehouse, carpet store, air transport company, etc. <br /><br />Avoid using terms that specify only the name of the establishment, like "La Violeta" factory, "Casa Fénix", etc.<br /><br />If the person is a fiscal, semifiscal, municipal, or public service employee, on the other hand, record the proper name of the ministerial division, government agency, office, or service in which the person being enumerated practices their profession.<br /><br />If a person practices the same profession in more than one business or industry, the type of establishment from which greater compensation is received should be recorded. For example, in the case of a commercial accountant who does the books for a glass factory, a store, and a transportation company, receiving the greatest income from the glass factory, this [the glass factory] should be recorded as the industry.<br /><br />If the person practices their profession in a company that carries out two or more different industrial activities, the industrial activity to which the person is directly tied should be recorded, as long as this is a main, not a secondary, activity. <span class="pg">[p. 40]</span> For example, in the case of a company that has a refrigerator and a furniture factory, an employee's industry should be recorded as refrigerator factory or furniture factory, depending on whether the employee works in the first or second of these.<br /><br />For domestic workers, "family house" or "community house" should be recorded.<br /></svar> Chile 1960: Persons age 12+ who have ever worked [discrepancies: type I trace; type II none] This variable indicates the industry where the respondent works. 011 Agriculture and livestock 012 Agricultural services 021 Forestry 022 Extraction of lumber 030 Regular hunting with traps and the repopulation of animals 041 Deep sea and coastal fishing, without including the work of factory-ships 042 Fishing industry on factory-ships 043 Fresh water fishing industry 051 Undocumented 100 Undocumented 110 Coal mining operations 121 Extraction of iron minerals 122 Extraction of metallic minerals, except iron 130 Crude petroleum and natural gas 140 Extraction of stone, clay and sand 191 Mining and salt quarry operations 192 Extraction of materials for fertilizer and the production of chemical products 199 Extraction of non metallic minerals, not classified in other parts 201 Slaughter of livestock, preparation and conservation of meat 202 Making of lactate products 203 Packaging and conservation of fruits and vegetables 204 Packaging and conservation of seafood and other maritime products 205 Manufacturing of mill products 206 Manufacturing of bakery products 207 Sugar refineries 208 Making of cocoa, chocolate and pastries 209 Diverse industries 211 Distilling, purifying and mixture of spirits 212 Wine industries 213 Making of beer and malt 214 Making of non alcoholic drinks and carbonated waters 220 Tobacco industries 231 Spinning, weaving and finishing textiles 232 Textile factories 233 Factories of rigs, rope and cord 239 Factories of textiles not classified in other parts 241 Making of footwear 242 Footwear repairing 243 Making of articles of clothing, excluding footwear 244 Articles made from textile materials, excluding articles of clothing 251 Sawmills, workshops with planning machinery and other workshops for lumber working 252 Packaging of lumber and cane and small articles of cane 259 Making of cork and wooden products not classified in other parts 260 Making of furniture and accessories 271 Making of pulp for wood, paper and cardboard 272 Making of articles of pulp from wood, paper and cardboard 280 Printers and publishing houses and related industries 291 Tanning and finishing workshops 292 Making of fur articles, excluding articles of clothing 293 Making of leather articles, excluding footwear and other articles of clothing 300 Making of rubber products 311 Essential industrial chemical products including fertilizer 312 Vegetable and animal oils and fats 313 Making of paints, varnishes and lacquers 319 Making of diverse chemical products 321 Petroleum refineries 329 Making of diverse petroleum and chemical products 331 Making of clay products for construction 332 Making of glass and glass products 333 Making of mud, china and porcelain objects 334 Making of (hydraulic) cement 339 Making of non metallic mineral products, not classified in another part 341 Basic iron and steel industries 342 Basic non ferrous metal industries 350 Making of metallic products, excluding machinery and transportation equipment 360 Construction of machinery, excluding electric machinery 370 Construction of machinery, appliances, accessories and electric articles 381 Naval construction and ship repairing 382 Construction of railroad equipment 383 Construction of automobile vehicles 384 Automobile repairs 385 Construction of motorcycles and bicycles 386 Construction of airplanes 389 Making of transportation material not classified in other parts 391 Making of professional and scientific instruments of measure and control 392 Making of photographic appliances and optical instruments 393 Making of watches 394 Making of jewelry and related articles 395 Making of music instruments 399 Manufacturing industries not classified in other parts 400 Construction 511 Light and electrical energy 512 Production and distribution of gas 513 Steam for heat and motorized power 521 Water supply 522 Sanitary services 611 Wholesale commerce 612 Retail commerce (auction houses) 620 Banks and other financial establishments 630 Insurance 640 Real estate 711 Railroad transportation 712 Streetcars and busses 713 Transportation of passengers by highway, excluding transportation by bus 714 Transportation by highway not classified in other parts 715 Transportation by sea, excluding cabotage 716 Transportation by water, excluding deep sea navigation 717 Air transportation 718 Common transportation services 719 Transportation not classified in other parts 720 Warehouse and storage 730 Communications 810 Governmental services 821 Public instruction 822 Medical and sanitary services 823 Scientific and research institutes 824 Religious organizations 825 Social assistance institutions 826 Commercial and professional associations and workers organizations 827 Libraries, museums and gardens 829 Services loaned to the public, not classified in other parts 831 Legal services 832 Accounting, auditing and bookkeeping 833 Technical services 839 Services loaned to businesses, not classified in other parts 841 Production, distribution and exhibition of movies 842 Theaters and related services 843 Recreational services, excluding theaters and movies 851 Domestic services 852 Restaurants, cafes, taverns and other establishments that sell food and drinks 853 Hotels, guest houses, campgrounds and other places of lodging 854 Laundry and laundry services, cleaning and dying 855 Hair salons and beauty parlors 856 Commercial photographs and photography studios 859 Personal services not classified in other parts 900 Activities not well specified 998 Unknown 999 NIU (not in universe) Work: Industry Variables -- PERSON Class of worker <svar v="CL60A422 CL60A423 CL60A424 CL60A425">For all individuals 12 years of age and older. [applies to questions 15-18]<br /></svar></p> <p><svar v="CL60A425" a="all">18. Occupational category [employment status] ____<br /><br /><div class="i1">Only for those Employed and Unemployed.<br /><br />Write the Occupational category in the following manner:</div><br /><br /><div class="i2">ER = Employer<br />TCP = Own-account worker<br />EM = Professional employee<br />OB = Manual laborer<br />ED = Domestic employee<br />FR = Paid family worker<br />FNR = Unpaid family worker<br />OT = Other</div><br /></svar> <svar v="CL60A425" a="all">Column 18: Occupational Category. The information about occupational categories should be obtained based on the following definitions:<br /><br />Group "ER": (Employer). A person who runs their own company or who practices a profession or trade on their own and who has one or more compensated workers, not counting domestic workers. [Translator's note: In the value labels (categories 1 and 3) <span class="lang">employee</span> (employee) appears twice due to a typo. In this case, it definitely refers to the employer, corresponding to category 3 in the value labels.]<br /><br />Group "TCP": (Self-employed Worker). A person who runs their own company or who practices a profession or trade on their own, but does not employ any compensated workers. Can work by themselves or in association with others.<br /><br />Group "EM": (Employee). A person who uses more mental than physical effort in their job and who is compensated for work done for a public or private employer of whose census household that person is not a member. Also considered to be employees are managers, administrators, and other managerial personnel. Some special laws assign the designation of employee to people in certain professions, such as hairdressers, chauffeurs, etc., according the welfare system [<span class="lang">previsión social</span>] to which the person being enumerated has recourse.<br /><br />Group "OB": (Manual Laborer). A person who performs a predominantly manual activity and is compensated for work done for a public or private employer of whose census household that person is not a member. When there are doubts about classifying someone as a manual laborer, refer to the welfare system to which the person being enumerated has recourse.<br /><br />Group "ED": (Domestic Worker). A person devoted to activities related to household service (waiter, butler, cook, servant girl, cook, housekeeper, nanny) and who is compensated for work done for a public or private employer of whose census household that person is not a member. This category of people have "family house" as their industry.<br /><br />Group "FR": (Paid Family Worker). A person who is compensated for work done for a company run by a member of their family.<br /><br />Group "FNR": (Unpaid Family Worker). A person who is not compensated for work done for a company run by a member of their family, and who practices that profession at least three hours a day (two days a week). <br /><br />Record this information for all people whose occupation has been recorded and who belong to either Group "OC" (Employed) or Group "CE" (Unemployed).<br /><br /><span class="pg">[p. 41]</span><br /><br />Summary: Once the enumeration is finished, make sure that you haven't forgotten to enumerate anyone, and write down separately the number of men, the number of women, and the total number of people.<br /></svar> Chile 1960: Persons age 12+ who were employed or seeking work [discrepancies: type I 0.04%; type II none] This variable indicates the respondent's occupational category. 0 NIU (not in universe) 1 Employer 2 Self-employed 3 Professional employee 4 Manual laborer 5 Domestic employee 6 Paid family worker 7 Non-remunerated family worker 8 Other 9 Unknown Work Variables -- PERSON Age <svar v="CL60A411 CL60A426" a="all">4. Age. ____<br /><br />Write the age in years completed. For those under 1 year write the months completed. For those under 1 month write 0 months.<br /><div class="i1">Example:<br />0 months<br />1 month<br />2 months<br />3 months</div><br /></svar> <svar v="CL60A411 CL60A426" a="all">Column 4: Age. Age in completed years means the age that the person reached upon their last birthday. One way to verify the correctness of the age stated by the person being enumerated is to ask for their date of birth, if they are able to provide that information.<br /><br />The enumerator must take into account the common tendency of people to round their age, particularly to figures that end in zero or five. It is especially important to find out the date of birth in these cases.<br /><br />If the person doesn't know their age, and you can't find any way to determine it, be it by using documents belonging to the individual or references from neighbors, make an estimate of their age. If not present, use information from people present who know the person being enumerated. For those under one year of age, don't forget to write the word "month(s)" immediately after the corresponding number. So, 1 month, 3 months, etc. <br /></svar> Chile 1960: All persons This variable indicates the age in years. This variable cleans up the original age variable that combined months and years of age using non-numeric characters. 000 Less than 1 year 001 1 002 2 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100+ years 999 Unknown Demographic Variables -- PERSON