XIV Censo Nacional de Población y III de Vivienda 1970 DDI_CHL_1970_PHC_v01_M_v7.6_A_IPUMS IPUMS

Integrated Public Use Microdata Series (IPUMS) International

 IPUMS April 1, 2025 IPUMS, 50 Willey Hall, 225 - 19th Avenue South, Minneapolis, MN 55455 Organization for Economic Co-operation and Development, Development Co-operation Directorate JADE#:60525;MEHLB(2010)12 IPUMS Version 7.6 October 2025 : NEW FEATURES. --NO "new features" listed in Revision History NEW SAMPLES. --Six new census samples for Honduras (2013), Kenya (2019), Malawi (2018), Mongolia (2010, 2020), and Mozambique (2017) were added to the data series. All census samples extend pre-existing series for those countries. --91 quarterly labor force surveys from the Philippines (1997 - 2019) were added to IPUMS. SUPPLEMENTAL DATA. --No "supplemental data" listed in revision history NEW VARIABLES. --New spatially harmonized birthplace and previous-residence variables are available for samples in this data release. More information is available here (https://international.ipums.org/international/geo_mig.shtml). --Users should note that many older migration and birthplace variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. For birthplace variables refer to this table (https://international.ipums.org/international/resources/misc_docs/migCrosswalk_names.pdf). EDITED SAMPLES. --For the Zambia 2000 sample, an error in the household breaks was corrected, resulting in the creation of 1,988 new households (1% increase) that were previously combined with other households. The person records included in the sample did not change. Due to an inconsistency in the original file, no household-level information other than geographic location is available for these newly identified households, necessitating the addition of "unknown" values for this sample to the following variables: BEDROOMS, ELECTRIC, FLOOR, FUELCOOK, FUELHEAT, OWNERSHIP, PHONE, RADIO, REFRIG, ROOMS, SEWAGE, TRASH, WATSRC, TV, TOILET, GQ, ROOF, WATSUP, BIKE, MOTORCYCLE, KITCHEN, GQTYPE, AUTOS, and WALL. EDITED VARIABLES. --For the 1998 and 2008 Malawi samples, the family interrelationship pointer variables MOMLOC and POPLOC were modified to allow a "Spouse/partner" of the household head to be linked as a parent to an "Other relative", because the enumeration instructions specify that adopted and stepchildren were categorized as "Other relative". These samples are now consistent with the links made in the newly released 2018 Malawi sample, which had the same enumeration instructions for adopted and stepchildren. --In the samples for Côte d'Ivoire 1988 and 1998, Rwanda 1991 and 2002, Togo 1960 and 2010, and South Africa 2001, for the harmonized variable POLYGAM, persons in consensual unions were previously coded as "No, in monogamous union". Because there was no response option in these samples for polygamous consensual unions, it is more appropriate to treat these cases as not-in-universe, so they have been recoded to "NIU (not in universe)". --MARST has been edited for Honduras 1974 to reclassify the source variable responses "married, wife lives separately" and "consensual union, companion lives separately" as separations. The documentation suggests that "separately" actually indicates a relationship separation and not an absent spouse or companion. Other minor edits were implemented for MARST for Mozambique 1997 and 2007. --In the Mozambique 1997 sample, an error was corrected that recoded persons with a relationship of "Unknown" in the source data to "Other relative or non-relative" (6000) in the harmonized variable RELATE. These persons are now coded as "Not Stated/Unknown" (9999). --In the Malawi 1987, 1998, and 2008 samples, for variable WATSUP, a programming error was corrected such that any households who reported having piped water in either the wet or the dry season are classified as having access to piped water. This programming was also applied to the newly released 2018 sample. --The NATIVITY variable has been edited in the Chile 2017 sample to correct a programming error that mistakenly classified as foreign-born about 20 thousand person records that were actually native-born. --The MIGRATE5 variable has been edited in the Chile 2017 sample, given a programming error that classified most migrants as having changed their major geographic unit. The MIGRATE5 variable for the Chile 1982 and 1992 samples has been edited to use spatially harmonized geographic units to calculate migration status. --In the 1989, 1999, and 2009 Kenya samples, households who indicated that their lighting type or fuel was "Solar" were recoded from "No" to "Yes" in ELECTRIC, based on secondary sources documenting the spread of home solar energy systems in Kenya beginning in the mid-1980s. In the 1989 and 1999 Kenya samples, programming was removed that previously recoded households that reported using electricity as their main cooking fuel to "Yes" in the access to electricity variable ELECTRIC, making it more consistent across samples. Other minor edits were implemented for ELECTRIC in Botswana 2011, Ethiopia 1984 and 1994, Mongolia 1989, Mozambique 2007. --Some samples in DISCARE classified responses indicating "some" difficulty into "yes". These cases were revised to consistently include in "yes" only responses indicating "a lot of difficulty" or "cannot do at all". --Some codes were improperly labeled for municipalities in Honduras 1961 and 1974, which affect variables on place of residence, birthplace, and previous residence. XIV Censo Nacional de Población y III de Vivienda - IPUMS Subset 1970 PHC cl1970a (IPUMS Harmonized Subset) CHL_1970_PHC_v01_M_v7.6_A_IPUMS Dirección de Estadística y Censos IPUMS (c) Copyright 1970, Dirección de Estadística y Censos and Minnesota Population Center Dirección de Estadística y Censos Population and Housing Census [hh/popcen] IPUMS International DOI:10.18128/D020.V7.6 Version 7.6. The datasets contain selected variables from the original microdata plus harmonized variables from the IPUMS-International database. Demographic Variables -- PERSON Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Fertility and Mortality Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Utilities Variables -- HOUSEHOLD Geography: A-E Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Migration: A-E Variables -- PERSON Migration: Global Variables -- PERSON Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Geography: Global Variables -- HOUSEHOLD Ethnicity and Language Variables -- PERSON Dwelling Characteristics Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Technical Household Variables -- HOUSEHOLD Demographic Variables -- PERSON Ethnicity and Language Variables -- PERSON Education Variables -- PERSON Work Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON Nativity and Birthplace Variables -- PERSON Migration: Global Variables -- PERSON Fertility and Mortality Variables -- PERSON April 22, 1970 April 22, 1970 Chile Department Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: Yes - Households: yes - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: Any structurally separate and independent premises or enclosure constructed, converted, or prepared for permanently or temporarily housing people. - Households: This corresponds to the currently common idea of a family, which is one that includes two or more related people, who satisfy their food needs together and occupy all or part of a dwelling. - Group quarters: Formed by groups of, normally unrelated, people who share a dwelling due to reasons of health, discipline, religion, studies, etc. All living people at midnight April 22, 1970 (i.e. between April 21 and 22). Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Chile 1970 MICRODATA SOURCE: Dirección de Estadística y Censos SAMPLE SIZE (person records): 890481. SAMPLE DESIGN: Systematic sample of every 10th dwelling. Face-to-face [f2f] Single enumeration form, which requested information on dwellings, households and individuals. de facto, CENSUS DAY: April 22, 1970 Self-weighting. Expansion factor = 10. IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. IPUMS International works with each country's statistical office to minimize the risk of disclosure of respondent information. The details of the confidentiality protections vary across countries, but in all cases, names and detailed geographic information are suppressed and top-codes are imposed on variables such as income that might identify specific persons. In addition, IPUMS International uses a variety of technical procedures to enhance confidentiality protection. These include the following: (1) Swapping an undisclosed fraction of records from one administrative district to another to make positive identification of individuals impossible. (2) Randomizing the placement of households within districts to disguise the order in which individuals were enumerated or the data processed. (3) Aggregating codes of sensitive characteristics (e.g., grouping together very small ethnic categories) (4) Top- and bottom-coding continuous variables to prevent identification of extreme cases. The safety record for public-use census microdata is apparently perfect. In almost four decades of use, there has not been a single verified breach of statistical confidentiality. The measures implemented by the IPUMS International are designed to extend this record. Dirección de Estadística y Censos Steven Ruggles, Lara Cleveland, Rodrigo Lovaton, Sula Sarkar, Matthew Sobek, Derek Burk, Dan Ehrlich, Quinn Heimann, Jane Lee, and Nate Merrill. Integrated Public Use Microdata Series, International: Version 7.6 [dataset]. Minneapolis, MN: IPUMS, 2025. https://doi.org/10.18128/D020.V7.6 Researchers should also acknowledge the statistical agency that originally produced the data: Chile, Dirección de Estadística y Censos. XIV Censo Nacional de Población y III 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 cl1970a, 2025 CHL1970_PHC-H-H.dat Household records 199,041 ascii Minnesota Population Center Version 7.5, IPUMS sample CHL1970_PHC-P-H.dat Person records 890481 ascii Minnesota Population Center Version 7.5, IPUMS sample Record type RECTYPE identifies the type of record for the case: household or person. NOTE: RECTYPE is an alphabetic (character string) variable with a value of 'H' for household records and 'P' for person records. RECTYPE will not appear as a variable in the default rectangular extracts produced by the data extract system. It is only available in hierarchical extracts, to distinguish between the two record types. H Household P Person Technical Household Variables -- HOUSEHOLD Country COUNTRY gives the country from which the sample was drawn. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization). 032 Argentina 051 Armenia 040 Austria 050 Bangladesh 112 Belarus 204 Benin 068 Bolivia 072 Botswana 076 Brazil 854 Burkina Faso 116 Cambodia 120 Cameroon 124 Canada 152 Chile 156 China 170 Colombia 188 Costa Rica 192 Cuba 208 Denmark 214 Dominican Republic 218 Ecuador 818 Egypt 222 El Salvador 231 Ethiopia 242 Fiji 246 Finland 250 France 276 Germany 288 Ghana 300 Greece 320 Guatemala 324 Guinea 332 Haiti 340 Honduras 348 Hungary 352 Iceland 356 India 360 Indonesia 364 Iran 368 Iraq 372 Ireland 376 Israel 380 Italy 384 Côte d'Ivoire 388 Jamaica 400 Jordan 404 Kenya 417 Kyrgyz Republic 418 Laos 426 Lesotho 430 Liberia 454 Malawi 458 Malaysia 466 Mali 480 Mauritius 484 Mexico 496 Mongolia 504 Morocco 508 Mozambique 104 Myanmar 524 Nepal 528 Netherlands 558 Nicaragua 566 Nigeria 578 Norway 586 Pakistan 275 Palestine 591 Panama 598 Papua New Guinea 600 Paraguay 604 Peru 608 Philippines 616 Poland 620 Portugal 630 Puerto Rico 642 Romania 643 Russia 646 Rwanda 662 Saint Lucia 686 Senegal 694 Sierra Leone 703 Slovak Republic 705 Slovenia 710 South Africa 728 South Sudan 724 Spain 729 Sudan 740 Suriname 752 Sweden 756 Switzerland 834 Tanzania 764 Thailand 768 Togo 780 Trinidad and Tobago 792 Turkey 800 Uganda 804 Ukraine 826 United Kingdom 840 United States 858 Uruguay 862 Venezuela 704 Vietnam 894 Zambia 716 Zimbabwe Technical Household Variables -- HOUSEHOLD Year YEAR gives the year in which the census or survey was taken. For samples that span years, the midpoint or first year of the interval is reported. 1703 1703 1729 1729 1787 1787 1801 1801 1819 1819 1845 1845 1848 1848 1850 1850 1851 1851 1852 1852 1860 1860 1861 1861 1865 1865 1868 1868 1870 1870 1871 1871 1875 1875 1880 1880 1881 1881 1885 1885 1890 1890 1891 1891 1900 1900 1901 1901 1910 1910 1911 1911 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1966 1966 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 Technical Household Variables -- HOUSEHOLD IPUMS sample identifier SAMPLE identifies the IPUMS sample from which the case is drawn. Each sample receives a unique 9-digit code. The code is structured as follows: The first 3 digits are the ISO/UN codes used in COUNTRY The next 4 digits are the year of the census/survey The final 2 digits identify the sample within the year. For the last two digits, censuses or large census-like surveys have a value "0" (e.g, 01) in the second-to-last digit, household surveys have a value of "2" (e.g., 21), and employment surveys have a value of "4" (e.g., 41). 032197001 Argentina 1970 032198001 Argentina 1980 032199101 Argentina 1991 032200101 Argentina 2001 032201001 Argentina 2010 051200101 Armenia 2001 051201101 Armenia 2011 040197101 Austria 1971 040198101 Austria 1981 040199101 Austria 1991 040200101 Austria 2001 040201101 Austria 2011 050199101 Bangladesh 1991 050200101 Bangladesh 2001 050201101 Bangladesh 2011 112199901 Belarus 1999 112200901 Belarus 2009 204197901 Benin 1979 204199201 Benin 1992 204200201 Benin 2002 204201301 Benin 2013 068197601 Bolivia 1976 068199201 Bolivia 1992 068200101 Bolivia 2001 068201201 Bolivia 2012 072198101 Botswana 1981 072199101 Botswana 1991 072200101 Botswana 2001 072201101 Botswana 2011 076196001 Brazil 1960 076197001 Brazil 1970 076198001 Brazil 1980 076199101 Brazil 1991 076200001 Brazil 2000 076201001 Brazil 2010 854198501 Burkina Faso 1985 854199601 Burkina Faso 1996 854200601 Burkina Faso 2006 116199801 Cambodia 1998 116200401 Cambodia 2004 116200801 Cambodia 2008 116201301 Cambodia 2013 116201901 Cambodia 2019 120197601 Cameroon 1976 120198701 Cameroon 1987 120200501 Cameroon 2005 124185201 Canada 1852 124187101 Canada 1871 124188101 Canada 1881 124189101 Canada 1891 124190101 Canada 1901 124191101 Canada 1911 124197101 Canada 1971 124198101 Canada 1981 124199101 Canada 1991 124200101 Canada 2001 124201101 Canada 2011 152196001 Chile 1960 152197001 Chile 1970 152198201 Chile 1982 152199201 Chile 1992 152200201 Chile 2002 152201701 Chile 2017 156198201 China 1982 156199001 China 1990 156200001 China 2000 170196401 Colombia 1964 170197301 Colombia 1973 170198501 Colombia 1985 170199301 Colombia 1993 170200501 Colombia 2005 188196301 Costa Rica 1963 188197301 Costa Rica 1973 188198401 Costa Rica 1984 188200001 Costa Rica 2000 188201101 Costa Rica 2011 192200201 Cuba 2002 192201201 Cuba 2012 208178701 Denmark 1787 208180101 Denmark 1801 208184501 Denmark 1845 208188001 Denmark 1880 208188501 Denmark 1885 214196001 Dominican Republic 1960 214197001 Dominican Republic 1970 214198101 Dominican Republic 1981 214200201 Dominican Republic 2002 214201001 Dominican Republic 2010 218196201 Ecuador 1962 218197401 Ecuador 1974 218198201 Ecuador 1982 218199001 Ecuador 1990 218200101 Ecuador 2001 218201001 Ecuador 2010 818184801 Egypt 1848 818186801 Egypt 1868 818198601 Egypt 1986 818199601 Egypt 1996 818200601 Egypt 2006 222199201 El Salvador 1992 222200701 El Salvador 2007 231198401 Ethiopia 1984 231199401 Ethiopia 1994 231200701 Ethiopia 2007 242196601 Fiji 1966 242197601 Fiji 1976 242198601 Fiji 1986 242199601 Fiji 1996 242200701 Fiji 2007 242201401 Fiji 2014 246201001 Finland 2010 250196201 France 1962 250196801 France 1968 250197501 France 1975 250198201 France 1982 250199001 France 1990 250199901 France 1999 250200601 France 2006 250201101 France 2011 276181901 Germany 1819 (Mecklenburg) 276197001 Germany 1970 (West) 276197101 Germany 1971 (East) 276198101 Germany 1981 (East) 276198701 Germany 1987 (West) 288198401 Ghana 1984 288200001 Ghana 2000 288201001 Ghana 2010 300197101 Greece 1971 300198101 Greece 1981 300199101 Greece 1991 300200101 Greece 2001 300201101 Greece 2011 320196401 Guatemala 1964 320197301 Guatemala 1973 320198101 Guatemala 1981 320199401 Guatemala 1994 320200201 Guatemala 2002 324198301 Guinea 1983 324199601 Guinea 1996 324201401 Guinea 2014 332197101 Haiti 1971 332198201 Haiti 1982 332200301 Haiti 2003 340196101 Honduras 1961 340197401 Honduras 1974 340198801 Honduras 1988 340200101 Honduras 2001 340201301 Honduras 2013 348197001 Hungary 1970 348198001 Hungary 1980 348199001 Hungary 1990 348200101 Hungary 2001 348201101 Hungary 2011 352170301 Iceland 1703 352172901 Iceland 1729 352180101 Iceland 1801 352190101 Iceland 1901 352191001 Iceland 1910 356198341 India 1983 356198741 India 1987 356199341 India 1993 356199941 India 1999 356200441 India 2004 356200941 India 2009 360197101 Indonesia 1971 360197601 Indonesia 1976 360198001 Indonesia 1980 360198501 Indonesia 1985 360199001 Indonesia 1990 360199501 Indonesia 1995 360200001 Indonesia 2000 360200501 Indonesia 2005 360201001 Indonesia 2010 364200601 Iran 2006 364201101 Iran 2011 368199701 Iraq 1997 372190101 Ireland 1901 372191101 Ireland 1911 372197101 Ireland 1971 372197901 Ireland 1979 372198101 Ireland 1981 372198601 Ireland 1986 372199101 Ireland 1991 372199601 Ireland 1996 372200201 Ireland 2002 372200601 Ireland 2006 372201101 Ireland 2011 372201601 Ireland 2016 376197201 Israel 1972 376198301 Israel 1983 376199501 Israel 1995 376200801 Israel 2008 380200101 Italy 2001 380201101 Italy 2011 380201121 Italy 2011 Q1 LFS 380201221 Italy 2012 Q1 LFS 380201321 Italy 2013 Q1 LFS 380201421 Italy 2014 Q1 LFS 380201521 Italy 2015 Q1 LFS 380201621 Italy 2016 Q1 LFS 380201721 Italy 2017 Q1 LFS 380201821 Italy 2018 Q1 LFS 380201921 Italy 2019 Q1 LFS 380202021 Italy 2020 Q1 LFS 384198801 Côte d'Ivoire 1988 384199801 Côte d'Ivoire 1998 388198201 Jamaica 1982 388199101 Jamaica 1991 388200101 Jamaica 2001 400200401 Jordan 2004 404196901 Kenya 1969 404197901 Kenya 1979 404198901 Kenya 1989 404199901 Kenya 1999 404200901 Kenya 2009 404201901 Kenya 2019 417199901 Kyrgyz Republic 1999 417200901 Kyrgyz Republic 2009 418199501 Laos 1995 418200501 Laos 2005 418201501 Laos 2015 426199601 Lesotho 1996 426200601 Lesotho 2006 430197401 Liberia 1974 430200801 Liberia 2008 454198701 Malawi 1987 454199801 Malawi 1998 454200801 Malawi 2008 454201801 Malawi 2018 458197001 Malaysia 1970 458198001 Malaysia 1980 458199101 Malaysia 1991 458200001 Malaysia 2000 466198701 Mali 1987 466199801 Mali 1998 466200901 Mali 2009 480199001 Mauritius 1990 480200001 Mauritius 2000 480201101 Mauritius 2011 484196001 Mexico 1960 484197001 Mexico 1970 484199001 Mexico 1990 484199501 Mexico 1995 484200001 Mexico 2000 484200501 Mexico 2005 484201001 Mexico 2010 484201501 Mexico 2015 484202001 Mexico 2020 484200521 Mexico 2005 Q1 LFS 484200522 Mexico 2005 Q2 LFS 484200523 Mexico 2005 Q3 LFS 484200524 Mexico 2005 Q4 LFS 484200621 Mexico 2006 Q1 LFS 484200622 Mexico 2006 Q2 LFS 484200623 Mexico 2006 Q3 LFS 484200624 Mexico 2006 Q4 LFS 484200721 Mexico 2007 Q1 LFS 484200722 Mexico 2007 Q2 LFS 484200723 Mexico 2007 Q3 LFS 484200724 Mexico 2007 Q4 LFS 484200821 Mexico 2008 Q1 LFS 484200822 Mexico 2008 Q2 LFS 484200823 Mexico 2008 Q3 LFS 484200824 Mexico 2008 Q4 LFS 484200921 Mexico 2009 Q1 LFS 484200922 Mexico 2009 Q2 LFS 484200923 Mexico 2009 Q3 LFS 484200924 Mexico 2009 Q4 LFS 484201021 Mexico 2010 Q1 LFS 484201022 Mexico 2010 Q2 LFS 484201023 Mexico 2010 Q3 LFS 484201024 Mexico 2010 Q4 LFS 484201121 Mexico 2011 Q1 LFS 484201122 Mexico 2011 Q2 LFS 484201123 Mexico 2011 Q3 LFS 484201124 Mexico 2011 Q4 LFS 484201221 Mexico 2012 Q1 LFS 484201222 Mexico 2012 Q2 LFS 484201223 Mexico 2012 Q3 LFS 484201224 Mexico 2012 Q4 LFS 484201321 Mexico 2013 Q1 LFS 484201322 Mexico 2013 Q2 LFS 484201323 Mexico 2013 Q3 LFS 484201324 Mexico 2013 Q4 LFS 484201421 Mexico 2014 Q1 LFS 484201422 Mexico 2014 Q2 LFS 484201423 Mexico 2014 Q3 LFS 484201424 Mexico 2014 Q4 LFS 484201521 Mexico 2015 Q1 LFS 484201522 Mexico 2015 Q2 LFS 484201523 Mexico 2015 Q3 LFS 484201524 Mexico 2015 Q4 LFS 484201621 Mexico 2016 Q1 LFS 484201622 Mexico 2016 Q2 LFS 484201623 Mexico 2016 Q3 LFS 484201624 Mexico 2016 Q4 LFS 484201721 Mexico 2017 Q1 LFS 484201722 Mexico 2017 Q2 LFS 484201723 Mexico 2017 Q3 LFS 484201724 Mexico 2017 Q4 LFS 484201821 Mexico 2018 Q1 LFS 484201822 Mexico 2018 Q2 LFS 484201823 Mexico 2018 Q3 LFS 484201824 Mexico 2018 Q4 LFS 484201921 Mexico 2019 Q1 LFS 484201922 Mexico 2019 Q2 LFS 484201923 Mexico 2019 Q3 LFS 484201924 Mexico 2019 Q4 LFS 484202021 Mexico 2020 Q1 LFS 484202023 Mexico 2020 Q3 LFS 496198901 Mongolia 1989 496200001 Mongolia 2000 496201001 Mongolia 2010 496202001 Mongolia 2020 504198201 Morocco 1982 504199401 Morocco 1994 504200401 Morocco 2004 504201401 Morocco 2014 508199701 Mozambique 1997 508200701 Mozambique 2007 508201701 Mozambique 2017 104201401 Myanmar 2014 524200101 Nepal 2001 524201101 Nepal 2011 528196001 Netherlands 1960 528197101 Netherlands 1971 528200101 Netherlands 2001 528201101 Netherlands 2011 558197101 Nicaragua 1971 558199501 Nicaragua 1995 558200501 Nicaragua 2005 566200621 Nigeria 2006 566200721 Nigeria 2007 566200821 Nigeria 2008 566200921 Nigeria 2009 566201021 Nigeria 2010 578180101 Norway 1801 578186501 Norway 1865 578187501 Norway 1875 578190001 Norway 1900 578191001 Norway 1910 586197301 Pakistan 1973 586198101 Pakistan 1981 586199801 Pakistan 1998 275199701 Palestine 1997 275200701 Palestine 2007 275201701 Palestine 2017 591196001 Panama 1960 591197001 Panama 1970 591198001 Panama 1980 591199001 Panama 1990 591200001 Panama 2000 591201001 Panama 2010 598198001 Papua New Guinea 1980 598199001 Papua New Guinea 1990 598200001 Papua New Guinea 2000 600196201 Paraguay 1962 600197201 Paraguay 1972 600198201 Paraguay 1982 600199201 Paraguay 1992 600200201 Paraguay 2002 604199301 Peru 1993 604200701 Peru 2007 604201701 Peru 2017 608199721 Philippines 1997 Q1 LFS 608199722 Philippines 1997 Q2 LFS 608199723 Philippines 1997 Q3 LFS 608199724 Philippines 1997 Q4 LFS 608199821 Philippines 1998 Q1 LFS 608199822 Philippines 1998 Q2 LFS 608199823 Philippines 1998 Q3 LFS 608199824 Philippines 1998 Q4 LFS 608199921 Philippines 1999 Q1 LFS 608199922 Philippines 1999 Q2 LFS 608199923 Philippines 1999 Q3 LFS 608199924 Philippines 1999 Q4 LFS 608200021 Philippines 2000 Q1 LFS 608200022 Philippines 2000 Q2 LFS 608200023 Philippines 2000 Q3 LFS 608200024 Philippines 2000 Q4 LFS 608200121 Philippines 2001 Q1 LFS 608200122 Philippines 2001 Q2 LFS 608200123 Philippines 2001 Q3 LFS 608200124 Philippines 2001 Q4 LFS 608200221 Philippines 2002 Q1 LFS 608200222 Philippines 2002 Q2 LFS 608200223 Philippines 2002 Q3 LFS 608200224 Philippines 2002 Q4 LFS 608200321 Philippines 2003 Q1 LFS 608200322 Philippines 2003 Q2 LFS 608200323 Philippines 2003 Q3 LFS 608200324 Philippines 2003 Q4 LFS 608200421 Philippines 2004 Q1 LFS 608200422 Philippines 2004 Q2 LFS 608200423 Philippines 2004 Q3 LFS 608200424 Philippines 2004 Q4 LFS 608200521 Philippines 2005 Q1 LFS 608200522 Philippines 2005 Q2 LFS 608200523 Philippines 2005 Q3 LFS 608200524 Philippines 2005 Q4 LFS 608200621 Philippines 2006 Q1 LFS 608200622 Philippines 2006 Q2 LFS 608200623 Philippines 2006 Q3 LFS 608200624 Philippines 2006 Q4 LFS 608200721 Philippines 2007 Q1 LFS 608200722 Philippines 2007 Q2 LFS 608200723 Philippines 2007 Q3 LFS 608200724 Philippines 2007 Q4 LFS 608200821 Philippines 2008 Q1 LFS 608200822 Philippines 2008 Q2 LFS 608200823 Philippines 2008 Q3 LFS 608200824 Philippines 2008 Q4 LFS 608200921 Philippines 2009 Q1 LFS 608200922 Philippines 2009 Q2 LFS 608200923 Philippines 2009 Q3 LFS 608200924 Philippines 2009 Q4 LFS 608201021 Philippines 2010 Q1 LFS 608201022 Philippines 2010 Q2 LFS 608201023 Philippines 2010 Q3 LFS 608201024 Philippines 2010 Q4 LFS 608201121 Philippines 2011 Q1 LFS 608201122 Philippines 2011 Q2 LFS 608201123 Philippines 2011 Q3 LFS 608201124 Philippines 2011 Q4 LFS 608201221 Philippines 2012 Q1 LFS 608201222 Philippines 2012 Q2 LFS 608201223 Philippines 2012 Q3 LFS 608201224 Philippines 2012 Q4 LFS 608201321 Philippines 2013 Q1 LFS 608201322 Philippines 2013 Q2 LFS 608201323 Philippines 2013 Q3 LFS 608201324 Philippines 2013 Q4 LFS 608201421 Philippines 2014 Q1 LFS 608201422 Philippines 2014 Q2 LFS 608201423 Philippines 2014 Q3 LFS 608201424 Philippines 2014 Q4 LFS 608201521 Philippines 2015 Q1 LFS 608201522 Philippines 2015 Q2 LFS 608201523 Philippines 2015 Q3 LFS 608201524 Philippines 2015 Q4 LFS 608201621 Philippines 2016 Q1 LFS 608201622 Philippines 2016 Q2 LFS 608201623 Philippines 2016 Q3 LFS 608201624 Philippines 2016 Q4 LFS 608201721 Philippines 2017 Q1 LFS 608201722 Philippines 2017 Q2 LFS 608201723 Philippines 2017 Q3 LFS 608201724 Philippines 2017 Q4 LFS 608201821 Philippines 2018 Q1 LFS 608201822 Philippines 2018 Q2 LFS 608201823 Philippines 2018 Q3 LFS 608201824 Philippines 2018 Q4 LFS 608201921 Philippines 2019 Q1 LFS 608201922 Philippines 2019 Q2 LFS 608201923 Philippines 2019 Q3 LFS 608199001 Philippines 1990 608199501 Philippines 1995 608200001 Philippines 2000 608201001 Philippines 2010 616197801 Poland 1978 616198801 Poland 1988 616200201 Poland 2002 616201101 Poland 2011 620198101 Portugal 1981 620199101 Portugal 1991 620200101 Portugal 2001 620201101 Portugal 2011 630197001 Puerto Rico 1970 630198001 Puerto Rico 1980 630199001 Puerto Rico 1990 630200001 Puerto Rico 2000 630200501 Puerto Rico 2005 630201001 Puerto Rico 2010 630201501 Puerto Rico 2015 630202001 Puerto Rico 2020 642197701 Romania 1977 642199201 Romania 1992 642200201 Romania 2002 642201101 Romania 2011 643200201 Russia 2002 643201001 Russia 2010 646199101 Rwanda 1991 646200201 Rwanda 2002 646201201 Rwanda 2012 662198001 Saint Lucia 1980 662199101 Saint Lucia 1991 686198801 Senegal 1988 686200201 Senegal 2002 686201301 Senegal 2013 694200401 Sierra Leone 2004 694201501 Sierra Leone 2015 703199101 Slovak Republic 1991 703200101 Slovak Republic 2001 703201101 Slovak Republic 2011 705200201 Slovenia 2002 710199601 South Africa 1996 710200101 South Africa 2001 710200701 South Africa 2007 710201101 South Africa 2011 710201601 South Africa 2016 728200801 South Sudan 2008 724198101 Spain 1981 724199101 Spain 1991 724200101 Spain 2001 724201101 Spain 2011 724200521 Spain 2005 Q1 LFS 724200522 Spain 2005 Q2 LFS 724200523 Spain 2005 Q3 LFS 724200524 Spain 2005 Q4 LFS 724200621 Spain 2006 Q1 LFS 724200622 Spain 2006 Q2 LFS 724200623 Spain 2006 Q3 LFS 724200624 Spain 2006 Q4 LFS 724200721 Spain 2007 Q1 LFS 724200722 Spain 2007 Q2 LFS 724200723 Spain 2007 Q3 LFS 724200724 Spain 2007 Q4 LFS 724200821 Spain 2008 Q1 LFS 724200822 Spain 2008 Q2 LFS 724200823 Spain 2008 Q3 LFS 724200824 Spain 2008 Q4 LFS 724200921 Spain 2009 Q1 LFS 724200922 Spain 2009 Q2 LFS 724200923 Spain 2009 Q3 LFS 724200924 Spain 2009 Q4 LFS 724201021 Spain 2010 Q1 LFS 724201022 Spain 2010 Q2 LFS 724201023 Spain 2010 Q3 LFS 724201024 Spain 2010 Q4 LFS 724201121 Spain 2011 Q1 LFS 724201122 Spain 2011 Q2 LFS 724201123 Spain 2011 Q3 LFS 724201124 Spain 2011 Q4 LFS 724201221 Spain 2012 Q1 LFS 724201222 Spain 2012 Q2 LFS 724201223 Spain 2012 Q3 LFS 724201224 Spain 2012 Q4 LFS 724201321 Spain 2013 Q1 LFS 724201322 Spain 2013 Q2 LFS 724201323 Spain 2013 Q3 LFS 724201324 Spain 2013 Q4 LFS 724201421 Spain 2014 Q1 LFS 724201422 Spain 2014 Q2 LFS 724201423 Spain 2014 Q3 LFS 724201424 Spain 2014 Q4 LFS 724201521 Spain 2015 Q1 LFS 724201522 Spain 2015 Q2 LFS 724201523 Spain 2015 Q3 LFS 724201524 Spain 2015 Q4 LFS 724201621 Spain 2016 Q1 LFS 724201622 Spain 2016 Q2 LFS 724201623 Spain 2016 Q3 LFS 724201624 Spain 2016 Q4 LFS 724201721 Spain 2017 Q1 LFS 724201722 Spain 2017 Q2 LFS 724201723 Spain 2017 Q3 LFS 724201724 Spain 2017 Q4 LFS 724201821 Spain 2018 Q1 LFS 724201822 Spain 2018 Q2 LFS 724201823 Spain 2018 Q3 LFS 724201824 Spain 2018 Q4 LFS 724201921 Spain 2019 Q1 LFS 724201922 Spain 2019 Q2 LFS 724201923 Spain 2019 Q3 LFS 724201924 Spain 2019 Q4 LFS 724202021 Spain 2020 Q1 LFS 724202022 Spain 2020 Q2 LFS 724202023 Spain 2020 Q3 LFS 724202024 Spain 2020 Q4 LFS 729200801 Sudan 2008 740200401 Suriname 2004 740201201 Suriname 2012 752188001 Sweden 1880 752189001 Sweden 1890 752190001 Sweden 1900 752191001 Sweden 1910 756197001 Switzerland 1970 756198001 Switzerland 1980 756199001 Switzerland 1990 756200001 Switzerland 2000 756201101 Switzerland 2011 834198801 Tanzania 1988 834200201 Tanzania 2002 834201201 Tanzania 2012 764197001 Thailand 1970 764198001 Thailand 1980 764199001 Thailand 1990 764200001 Thailand 2000 768196001 Togo 1960 768197001 Togo 1970 768201001 Togo 2010 780197001 Trinidad and Tobago 1970 780198001 Trinidad and Tobago 1980 780199001 Trinidad and Tobago 1990 780200001 Trinidad and Tobago 2000 780201101 Trinidad and Tobago 2011 792198501 Turkey 1985 792199001 Turkey 1990 792200001 Turkey 2000 800199101 Uganda 1991 800200201 Uganda 2002 800201401 Uganda 2014 804200101 Ukraine 2001 826185101 United Kingdom 1851 (England and Wales) 826185102 United Kingdom 1851 (Scotland) 826185103 United Kingdom 1851 (2% sample) 826186101 United Kingdom 1861 (England and Wales) 826186102 United Kingdom 1861 (Scotland) 826187101 United Kingdom 1871 (Scotland) 826188101 United Kingdom 1881 (England and Wales) 826188102 United Kingdom 1881 (Scotland) 826189101 United Kingdom 1891 (England and Wales) 826189102 United Kingdom 1891 (Scotland) 826190101 United Kingdom 1901 (England and Wales) 826190102 United Kingdom 1901 (Scotland) 826191101 United Kingdom 1911 (England and Wales) 826196101 United Kingdom 1961 826197101 United Kingdom 1971 826199101 United Kingdom 1991 826200101 United Kingdom 2001 840185001 United States 1850 (100%) 840185002 United States 1850 (1%) 840186001 United States 1860 (1%) 840187001 United States 1870 (1%) 840188001 United States 1880 (100%) 840188002 United States 1880 (10%) 840190001 United States 1900 (5%) 840191001 United States 1910 (1%) 840196001 United States 1960 840197001 United States 1970 840198001 United States 1980 840199001 United States 1990 840200001 United States 2000 840200501 United States 2005 840201001 United States 2010 840201501 United States 2015 840202001 United States 2020 858196301 Uruguay 1963 858196302 Uruguay 1963 (full count) 858197501 Uruguay 1975 858197502 Uruguay 1975 (full count) 858198501 Uruguay 1985 858198502 Uruguay 1985 (full count) 858199601 Uruguay 1996 858199602 Uruguay 1996 (full count) 858200621 Uruguay 2006 858201101 Uruguay 2011 858201102 Uruguay 2011 (full count) 862197101 Venezuela 1971 862198101 Venezuela 1981 862199001 Venezuela 1990 862200101 Venezuela 2001 704198901 Vietnam 1989 704199901 Vietnam 1999 704200901 Vietnam 2009 704201901 Vietnam 2019 894199001 Zambia 1990 894200001 Zambia 2000 894201001 Zambia 2010 716201201 Zimbabwe 2012 Technical Household Variables -- HOUSEHOLD Household serial number SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database. SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred: Chile 1970, 1992, 2002Colombia 1993, 2005Costa Rica 1984, 2000Cuba 2002Dominican Republic 1981, 2002, 2010Ecuador 1990, 2001Germany 1971Hungary 1980, 1990, 2001Jamaica 1982, 1991, 2001Malaysia 1970, 1991, 2000Mexico 1995, 1990, 2000, 2005Nigeria 2006Panama 2000Peru 1993, 2007Portugal 1981, 1991, 2001Spain 1991Uruguay 2011Venezuela 1990, 2001Vietnam 1989In all other samples, the last 3 digits are always zeroes. SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets. The U.S. 1900 sample and 1880 10% sample have multi-household dwellings that can be identified using the last 3 digits of SERIAL. SERIAL is a 10-digit numeric variable. The last 3 digits of SERIAL indicate household number within dwelling for selected samples noted in the variable description. In all other samples, the last 3 digits are always zeroes. Technical Household Variables -- HOUSEHOLD Number of person records in the household PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons. PERSONS is a 4-digit numeric variable. Technical Household Variables -- HOUSEHOLD Household weight HHWT indicates the number of households in the population represented by the household in the sample. For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics. NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Household Variables -- HOUSEHOLD Subsample number SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples. 00 1st 1% subsample 01 2nd 1% subsample 02 3rd 1% subsample 03 4th 1% subsample 04 5th 1% subsample 05 6th 1% subsample 06 7th 1% subsample 07 8th 1% subsample 08 9th 1% subsample 09 10th 1% subsample 10 11th 1% subsample 11 12th 1% subsample 12 13th 1% subsample 13 14th 1% subsample 14 15th 1% subsample 15 16th 1% subsample 16 17th 1% subsample 17 18th 1% subsample 18 19th 1% subsample 19 20th 1% subsample 20 21st 1% subsample 21 22nd 1% subsample 22 23rd 1% subsample 23 24th 1% subsample 24 25th 1% subsample 25 26th 1% subsample 26 27th 1% subsample 27 28th 1% subsample 28 29th 1% subsample 29 30th 1% subsample 30 31st 1% subsample 31 32nd 1% subsample 32 33rd 1% subsample 33 34th 1% subsample 34 35th 1% subsample 35 36th 1% subsample 36 37th 1% subsample 37 38th 1% subsample 38 39th 1% subsample 39 40th 1% subsample 40 41st 1% subsample 41 42nd 1% subsample 42 43rd 1% subsample 43 44th 1% subsample 44 45th 1% subsample 45 46th 1% subsample 46 47th 1% subsample 47 48th 1% subsample 48 49th 1% subsample 49 50th 1% subsample 50 51st 1% subsample 51 52nd 1% subsample 52 53rd 1% subsample 53 54th 1% subsample 54 55th 1% subsample 55 56th 1% subsample 56 57th 1% subsample 57 58th 1% subsample 58 59th 1% subsample 59 60th 1% subsample 60 61st 1% subsample 61 62nd 1% subsample 62 63rd 1% subsample 63 64th 1% subsample 64 65th 1% subsample 65 66th 1% subsample 66 67th 1% subsample 67 68th 1% subsample 68 69th 1% subsample 69 70th 1% subsample 70 71st 1% subsample 71 72nd 1% subsample 72 73rd 1% subsample 73 74th 1% subsample 74 75th 1% subsample 75 76th 1% subsample 76 77th 1% subsample 77 78th 1% subsample 78 79th 1% subsample 79 80th 1% subsample 80 81st 1% subsample 81 82nd 1% subsample 82 83rd 1% subsample 83 84th 1% subsample 84 85th 1% subsample 85 86th 1% subsample 86 87th 1% subsample 87 88th 1% subsample 88 89th 1% subsample 89 90th 1% subsample 90 91st 1% subsample 91 92nd 1% subsample 92 93rd 1% subsample 93 94th 1% subsample 94 95th 1% subsample 95 96th 1% subsample 96 97th 1% subsample 97 98th 1% subsample 98 99th 1% subsample 99 100th 1% subsample Technical Household Variables -- HOUSEHOLD Donated household HHDONATE identifies households that were donated during the IPUMS data editing process. 0 Not donated 1 Donated Technical Household Variables -- HOUSEHOLD 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 Number of unrelated persons UNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ Group Quarters Variables -- HOUSEHOLD Urban-rural status URBAN indicates whether the household was located in a place designated as urban or as rural. 1 Rural 2 Urban 9 Unknown Geography: Global Variables -- HOUSEHOLD Continent and region of country REGIONW identifies the continent and region of each country. 11 Eastern Africa 12 Middle Africa 13 Northern Africa 14 Southern Africa 15 Western Africa 21 Caribbean 22 Central America 23 North America 24 South America 31 Central Asia 32 Eastern Asia 33 Southern Asia 34 South-Eastern Asia 35 Western Asia 41 Eastern Europe 42 Northern Europe 43 Southern Europe 44 Western Europe 51 Australia and New Zealand 52 Melanesia 53 Micronesia 54 Polynesia Geography: Global Variables -- HOUSEHOLD 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 1970 [Level 1, GIS] GEO1_CL1970 identifies the household's province within Chile in 1970. Provinces are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_CL1970 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 1970 [Level 2, GIS] GEO2_CL1970 identifies the household’s department within Chile in 1970. Departments are the second level administrative units of the country, after provinces. A GIS map (in shapefile format), corresponding to GEO2_CL1970 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 Taltal 002003 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 Isla de Pascua, Valparaiso 007001 Melipilla 007002 San Antonio 007003 San Bernardo, Talagante 007004 Maipo 007005 Santiago 007006 Pedro Aguirre Cerda 007007 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 Triguen 018003 Victoria 018004 Collipulli 018005 Angol 019001 Lautaro 019002 Pitrufquen 019003 Villarrica 019004 Imperial 019005 Temuco 020001 La Union 020002 Valdivia 020003 Panquipulli 020004 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 Automobiles available AUTOS records whether a member of the household owned or had use of a vehicle and, in many samples, the number of such vehicles. 0 No autos 1 1 auto 2 2 autos 3 3 autos 4 4 autos 5 5 autos 6 6+ autos 7 Have auto, number unspecified 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities 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 Refrigerator REFRIG indicates whether the household had a refrigerator. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Television set TV indicates whether the household had a television. 00 NIU (not in universe) 10 No 20 Yes, color or black-and-white not specified 21 1 television 22 2 televisions 23 3 televisions 24 4 televisions 25 5 televisions 26 6 televisions 27 7 televisions 28 8 televisions 29 9+ televisions 30 Yes, at least one color tv 31 1 color tv 32 2 color tvs 33 3+ televisions 40 Yes, black-and-white only 41 1 black-white tv 42 2 black-white tvs 43 3+ black-white tvs 99 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 Kitchen or cooking facilities KITCHEN indicates whether the household had a kitchen, cooking facilities, or room dedicated to food preparation. 00 NIU (not in universe) 10 No kitchen 11 Food is prepared in a non-kitchen room 13 Does not prepare food in the dwelling 20 Yes, have a kitchen 21 Kitchen located inside the dwelling 22 Indoor kitchen, exclusive use 23 Indoor kitchen, shared use 24 Exclusive use of kitchen (indoor/outdoor status not specified) 25 Shared use of kitchen with another household (indoor/outdoor status not specified) 26 Kitchen located outside the dwelling 27 Outdoor kitchen, exclusive use 28 Outdoor kitchen, shared use 99 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Toilet TOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation. 00 NIU (not in universe) 10 No toilet 11 No flush toilet 20 Have toilet, type not specified 21 Flush toilet 22 Non-flush, latrine 23 Non-flush, other and unspecified 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Bathing facilities BATH indicates whether the household had access to bathing facilities and, in most cases, whether it had exclusive access. 0 NIU (not in universe) 1 No bathing facility 2 Have bathing facility, exclusivity not specified 3 Have bathing facility, exclusive use 4 Have bathing facility, shared use 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD 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 Household classification HHTYPE is a constructed variable that describes the composition of households. HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ. 00 Vacant household 01 One-person household 02 Married/cohab couple, no children 03 Married/cohab couple with children 04 Single-parent family 05 Polygamous family 06 Extended family, relatives only 07 Composite household, family and non-relatives 08 Non-family household 09 Unclassified subfamily 10 Other relative or non-relative household 11 Group quarters 99 Unclassifiable Constructed Household Variables -- HOUSEHOLD Number of families in household NFAMS is a constructed variable that indicates the number of families within each household. Family membership is defined by FAMUNIT. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and a domestic employee contains two families; a household consisting of a large, multi-generation extended family with no persons unrelated to the head counts as a single family. NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail. 0 Vacant household 1 1 family 2 2 families 3 3 families 4 4 families 5 5 families 6 6 families 7 7 families 8 8 families 9 9 or more families Constructed Household Variables -- HOUSEHOLD Number of married couples in household NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household. NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household). 0 No married couples in household 1 1 couple 2 2 couples 3 3 couples 4 4 couples 5 5 couples 6 6 couples 7 7 couples 8 8 couples 9 9 or more couples Constructed Household Variables -- HOUSEHOLD Number of mothers in household NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household. NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household). 0 No mothers in household 1 1 mother 2 2 mothers 3 3 mothers 4 4 mothers 5 5 mothers 6 6 mothers 7 7 mothers 8 8 mothers 9 9 or more mothers in household Constructed Household Variables -- HOUSEHOLD Number of fathers in household NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household. NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household). 0 No fathers in household 1 1 father 2 2 fathers 3 3 fathers 4 4 fathers 5 5 fathers 6 6 fathers 7 7 fathers 8 8 fathers 9 9 or more fathers in household Constructed Household Variables -- HOUSEHOLD Head's location in household HEADLOC gives the person number (PERNUM) of the head of household in samples in which persons are organized into households. HEADLOC is a 3-digit numeric variable. Constructed Household Variables -- HOUSEHOLD Dwelling number (based on geography key) Chile 1970: All households This variable indicates the dwelling number based on geography key. This is a 7-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Household number (within dwelling) Chile 1970: All households This variable indicates the household number within dwelling. 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 Technical Household Variables -- HOUSEHOLD Number of households in dwelling Chile 1970: All households This variable indicates the number of households in the dwelling. 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 Technical Household Variables -- HOUSEHOLD Number of persons in dwelling Chile 1970: All households This variable indicates the number of persons in dwelling. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 Technical Household Variables -- HOUSEHOLD Number of persons in household Chile 1970: All households This variable indicates the number of persons in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 Technical Household Variables -- HOUSEHOLD Dwelling created by splitting apart a large dwelling or household Chile 1970: All households This variable indicates whether the dwelling is created by splitting apart a large dwelling or household. 0 No problem 1 Yes: households within a large dwelling were split apart into separate dwellings 2 Yes: persons within a large household were split apart into separate dwellings Technical Household Variables -- HOUSEHOLD Urban-rural status <svar v="CL70A033" a="all">7. Area:<br /><div class="i1">[] 1 Urban<br />[] 2 Rural</div><br /><br />8. Place or locality<br /><div class="i1">a) ____ Name<br />b) ____ Category (indicate whether a city, town, hamlet, agricultural estate (<span class="lang">fundo</span>), nitrate mine, encampment, outpost, etc.)</div><br /><br />9. Address:<br /><div class="i1">Urban:<br /><div class="i2">____ Street<br />____ Number<br />____ Floor number<br />____ Apartment number</div><br />Rural:</div><br /><div class="i2">____ Route</div><br /></svar> Chile 1970: All households This variable indicates urban-rural status. 1 Urban 2 Rural 9 Unknown Geography: A-E Variables -- HOUSEHOLD Dwelling type I. General Dwelling Information</p> <p><svar v="CL70A037" a="all">1. Dwelling type<br /><br /><div class="i1">A. Private dwellings<br /><br />[] 01 House<br />[] 02 Apartment<br />[] 03 Room in a high-density slum dwelling (<span class="lang">conventillo</span>)<br />[] 04 Shack in a farm (<span class="lang">rancho</span>), Indian dwelling, rustic huts<br />[] 05 Emergency (government-provided) shelter or pre-fabricated shack<br />[] 06 Squatter camp dwelling (<span class="lang">callampa</span>)<br />[] 07 Dwelling in a structure or other place not intended for use as a residence<br />[] 08 Boxcar, boat, tent, etc.<br />[] 09 ____ Other (specify)<br /><br />B. Collective dwellings<br /><br />[] 10 Hotel, motel, inn<br />[] 11 Boardinghouse or rooming house<br />[] 12 Guesthouse<br />[] 13 Institution (hospital, convent, etc.)<br />[] 14 ____ Other (specify)</div><br /></svar> <svar v="CL70A037 CL70A055" a="all"><span class="h3">Question No. 1--Type of Dwelling</span><br /><br />The different types of private and collective dwellings are defined below. You should classify each house that you are responsible for enumerating and mark the appropriate choice from the 14 types of dwelling described.<br /><br />A. Private Dwellings<br /><br />01) House: A permanent building; separate and independent, with a direct entry from the street, garden or lot (cottage, bungalow, duplex, houses under constant construction, hut).<br /><br />02) Apartment: Is located in a permanently constructed building; has a separate entrance from a hallway, stairway, or other common space in the building or direct access from the street. The occupants can come and go without passing through a premises occupied by others.<br /><br />Apartments can also be found in commercial buildings and as separate and independent areas within institutions (apartment for the Director of a hospital or the caretaker of a commercial building).<br /><br />03) Tenement (high-density slum) dwelling: Is a room or group of rooms that make up an independent dwelling. They are located along a common-use hallway and have shared facilities (generally in an old house).<br /><br />04) Shack, rustic hut, or cabin: Is typically a rural building, separate or independent, made of light material (clay with straw, reeds, dried stone).<br /><br />05) Improved shack [Mejora]: Is a construction made of light material put up to take care of a construction site or construction materials, etc., and is generally occupied by the caretaker and family.<br /><br /><span class="pg">[p. 23]</span><br /><br />06) Squatter Dwelling: Is a temporary building made from waste materials (cardboard, tin, waste construction materials). They make up groups of dwellings located in uncultivated areas belonging to others where there is neither urbanization nor hygienic conditions for living there. It is also possible to find squatter dwellings in isolated areas or constructed close to other dwelling groups.<br /><br />07) Dwelling in a structure or other premises not meant for residential purposes: This group includes dwellings under construction, wineries, granaries, garages, warehouses, etc., in other words, buildings that were not originally meant for residential purposes.<br /><br />Included in this group are caves, mine entrances, etc.<br /><br />08) Boxcar, boat, tent, etc.: Are types of mobile lodging or lodging made to be transported.<br /><br />09) Other types of private dwelling: In this category you should include all other types of dwelling besides those already specified.<br /><br />B. Collective Dwellings<br /><br />10) Hotel, Motel, Inn: Is a dwelling where temporary or permanent lodging, with or without food, is provided. A hotel, motel, or inn is a building meant as a collective dwelling.<br /><br />11) Boardinghouse or Guesthouse: Has the same structural characteristics that private dwellings have. If the dwelling has 6 or more boarders it is considered a boardinghouse or guesthouse.<br /><br />If the dwelling has 5 or fewer boarders it should be recorded as a private dwelling.<br /><br />Boardinghouses and guesthouses with a municipal license will always be considered collective dwellings, regardless of the number of boarders.<br /><br />12) Lodge: Is a dwelling meant to provide nighttime lodging. It is characterized by the renting of beds by the night.<br /><br />13) Institutions: Are dwellings that are used as a place of lodging by a group of unrelated people who live together for reasons of health, religious life, discipline, work, etc. (hospitals, boarding schools, barracks, prisons, etc.).<br /><br />14) Other types of collective dwellings: Other types of collective dwellings not among those already listed should be specified in this category.<br /></svar> Chile 1970: All households This variable indicates the dwelling type (private or collective). 01 House 02 Apartment 03 Room in a high-density slum dwelling 04 Shack in a farm, Indian dweliing or rustic hut 05 Improved shack or gov-provided emergency shelter (Mejora) 06 Squatter settlement 07 Improvised dwelling (squatter settlement) 08 Trailer, boat, boxcar 09 Other private dwellings 10 Hotels 11 Boarding houses 12 Guesthouses or short-term hotels 13 Institution (hospital, convent) 14 Other group quarters Group Quarters Variables -- HOUSEHOLD Occupancy of the dwelling <svar v="CL70A038 CL70A040 CL70A039">2. Dwelling occupancy<br /></svar></p> <p><svar v="CL70A038" a="all"><div class="i1">A. The dwelling is:</div><br /><div class="i2">[] 1 Occupied<br />[] 2 Occupied with inhabitants absent<br />[] 3 Unoccupied</div><br /></svar></p> <p><svar v="CL70A040" a="all"><div class="i1">B. For occupied dwellings:</div><br /><div class="i2">____ Number of households</div><br /></svar> <svar v="CL70A038 CL70A040 CL70A039"><span class="h3">Question no. 2--Dwelling Occupancy</span><br /></svar></p> <p><svar v="CL70A038" a="all">A. The dwelling is<br /><br />1) Occupied: If you find occupants in the dwelling, mark box 1.<br /><br />2) Occupied with residents absent: If it is evident that the dwelling is inhabited (it has furniture, the grounds are well kept, or based on other observations), you should find out from the neighbors if the dwelling is occupied and when the occupants will return.<br /><br />There are two possibilities:<br /><br />a) That the occupants are returning the day of the census. In this case you should note in the Observations column on the control sheet, on the line corresponding to the dwelling, that you should return later on to enumerate the occupants and complete the form.<br /><br />b) That the occupants aren't returning on the day of the census (you've found out that they're on vacation, on a trip, etc.) In this case, you should mark box 2.<br /><br />If the occupants aren't going to return on the day of the census but spent the night from April 21 to 22 in this dwelling, you should request, from neighbors who know the occupants, as much information as you can get, both about the dwelling and about the people who stayed there during the night in question, or at least the total number of people and their sex, not forgetting small children.<br /><br />3) Unoccupied: If the dwelling doesn't have any occupants and there are no indications that it is inhabited, you should mark box 3. Signs like "For sale" or "For rent" are indications that the dwelling may be vacant.<br /></svar> Chile 1970: All households This variable indicates whether the dwelling is occupied, and, when occupied, whether the dwellers are present. 1 Occupied 2 Occupied but residents absent 3 Vacant Technical Household Variables -- HOUSEHOLD Type of vacancy <svar v="CL70A038 CL70A040 CL70A039">2. Dwelling occupancy<br /></svar></p> <p><svar v="CL70A039" a="all"><div class="i1">C. For unoccupied dwellings:<br /><br />The dwelling is:</div><br /><div class="i2">[] 90 Seasonally unoccupied<br />[] 91 New, awaiting the first occupants<br />[] 92 Unoccupied for other reasons</div><br /></svar> <svar v="CL70A038 CL70A040 CL70A039"><span class="h3">Question no. 2--Dwelling Occupancy</span><br /></svar></p> <p><svar v="CL70A039" a="all">C. For unoccupied dwellings<br /><br />Three distinctions will need to be made, marking the appropriate option.<br /><br />1) Seasonally unoccupied: A dwelling that is not occupied during certain times of the year, such as summer and winter houses. Also included are work dwellings that are periodically occupied, such as those belonging to farmers.<br /><br />2) New, awaiting first occupants: Is completely new construction that has not been previously lived in.<br /><br /><span class="pg">[p. 25]</span><br /><br />3) Unoccupied for other reasons: Is a previously inhabited dwelling that is not unoccupied for seasonal reasons at the time of the census.<br /><br />If the dwelling was classified as "unoccupied" or "occupied with residents absent," it will not be necessary to fill in more information.<br /></svar> Chile 1970: All households This variable indicates the reason of vacancy for vacant dwellings. 1 Occupied 2 Vacant, seasonal 3 New, waiting for first occupants 4 Vacant, for other reasons Technical Household Variables -- HOUSEHOLD Walls <svar v="CL70A041 CL70A042 CL70A043 CL70A044 CL70A045 CL70A046">3. Predominant material and condition of the dwelling<br /></svar></p> <p><svar v="CL70A041 CL70A042 CL70A043 CL70A044 CL70A045 CL70A046">3. Predominant material and condition of the dwelling<br /></svar></p> <p><svar v="CL70A041" a="all">Construction material<br /><br /><div class="i1">[] 1 Concrete, brick or cement block, stone<br />[] 2 Wood, plank (with iron, slate or other siding)<br />[] 3 Mortared adobe<br />[] 4 Bricks placed on edge, flat adobe or cement brick, mud-and-stick, flat straw, stone<br />[] 5 Waste material (tin, cardboard box, and/or various other waste materials)<br />[] 6 ____ Other materials (specify)</div><br /></svar> <svar v="CL70A041 CL70A042">A. Main Walls<br /></svar></p> <p><svar v="CL70A041" a="all">Building materials<br /><br />1) Concrete, Stone, brick, or cement block masonry: If the walls are not stuccoed, these materials are easily recognizable. If they are stuccoed, they are characterized by:<br /><br />a) Their thickness of no more than 20 cm;<br />b) When knocking on them with the knuckles, they shouldn't sound hollow, but rather compact.<br /><br />2) Wood, Covered Partition: (with sheets of iron, slate, or other materials). Wood is easily recognized. The covered partition structures are covered on one or both sides by planks, sheets of galvanized iron, slate, sheets of pressed wood, etc.; on the interior these walls can be covered with sheets of plaster or paper. Their thickness varies between 10 and 20 cm and their sound is hollow.<br /><br />3) Mortared adobe: When it is not stuccoed, it can be recognized by its dried clay appearance. If it is stuccoed, it is recognized by:<br /><br />a) Its thickness of from 35 to 65 cm;<br />b) Its especially muted sound.<br /><br />4) Brick, vertical adobe, sticks and mud, clay with straw, dried stone: Characterized by its lack of thickness, of approximately 10 cm; moreover, it is easily recognizable by appearance.<br /><br />5) Waste Materials: (Tin, cardboard, and/or various waste materials). These are badly constructed walls made of all kinds of materials. They are used in improvised dwellings. It is not difficult to identify them.<br /><br />6) Other materials: If another material is encountered that is not mentioned above, mark this item.<br /></svar> Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates primary material used in the construction of the walls of the dwelling. 0 NIU (not in universe) 1 Concrete, brick 2 Wood, plank 3 Mortared/coated Adobe 4 Bricks placed on edge. Flat adobe, or cement brick 5 Waste materials 6 Other materials Dwelling Characteristics Variables -- HOUSEHOLD Wall condition <svar v="CL70A041 CL70A042 CL70A043 CL70A044 CL70A045 CL70A046">3. Predominant material and condition of the dwelling<br /></svar></p> <p><svar v="CL70A041 CL70A042">A. Principal walls<br /></svar></p> <p><svar v="CL70A042" a="all">State of preservation<br /><div class="i1">[] 1 Good<br />[] 2 Acceptable<br />[] 3 Poor</div><br /></svar> <svar v="CL70A041 CL70A042">A. Main Walls<br /></svar></p> <p><svar v="CL70A042" a="all">State of Repair<br /><br /><span class="pg">[p. 26]</span><br /><br />1) Good: If, upon sight, there are no apparent defects<br /><br />2) Acceptable: When there are defects, but they do not affect the strength (water stains, superficial cracks, etc.).<br /><br />3) Bad: When there are deep cracks, the walls are not plumb, with holes, or eaten away at the base.<br /></svar> Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates the condition of the walls of the dwelling (as good, acceptable, poor.) 0 NIU (not in universe) 1 Good condition 2 Acceptable 3 Poor condition Dwelling Characteristics Variables -- HOUSEHOLD Roof <svar v="CL70A041 CL70A042 CL70A043 CL70A044 CL70A045 CL70A046">3. Predominant material and condition of the dwelling<br /></svar></p> <p><svar v="CL70A043 CL70A044">B. Roof covering<br /></svar></p> <p><svar v="CL70A043" a="all">Construction material<br /><div class="i1">[] 1 Sheet (zinc, copper, aluminum, slate), cement or clay tile, wooden tile, waterproof ceramic<br />[] 2 Tar corrugated paper sheets, clay-covered straw<br />[] 3 Waste material (tin, cardboard box, and/or various other waste materials)<br />[] 4 ____ Other materials (specify)</div><br /></svar> <svar v="CL70A043 CL70A044">B. Roof covering (roof)<br /></svar></p> <p><svar v="CL70A043" a="all">Building Materials<br /><br />1) Sheets of zinc; copper; aluminum; slate; clay or cement roof tiles; wooden tiles; waterproofed paving stone.<br /><br />Sheets of zinc, copper, or aluminum: Are sheets of variable dimensions that can be undulating, corrugated, or also flat, with joints [<span class="lang">balletas</span>] that stick out approximately every 80 cm following the slope of the roof. In the case of zinc or aluminum sheets, they are a whitish gray; when they are rusty they are dark red or brown and in the case of copper sheets, they acquire a grayish-green color.<br /><br />Slate: These are sheets of variable dimensions that can be undulating or corrugated, of a gray color similar to that of cement. They are fragile and breakable when struck.<br /><br />Clay or cement roof tile: Are no bigger than 20 by 30 cm; can be curved or flat. The normal color of cement tile is red or gray.<br /><br />Wooden tile: It is generally made of reddish-brown larch wood. The apparent size is 10 by 20 cm. These roofs are characterized by the steep slope that they need for water drainage.<br /><br />Waterproofed paving stone: This is a roof covering which, on sight, appears to be generally flat and black in color or made of small stones and which is found on modern houses. Tiled terraces also possess this type of roof covering.<br /><br />2) Phonolite; cane and clay; reeds<br /><br />Phonolite: This is a small sheet of black, corrugated tar paper.<br /><br />Reeds, and cane and clay: These materials can be recognized on sight and are characterized by their short duration.<br /><br />3) Waste Materials: (tin, cardboard and/or various waste materials). These materials can be recognized without difficulty and are characterized by their poor, improvised quality. Generally, tin, cardboard, etc. is used.<br /><br /><span class="pg">[p. 27]</span><br /><br />4) Other materials: Indicate any other material not previously mentioned in this item by writing the name of the material here.<br /></svar> Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates the predominant material used in the roof of the dwelling. 0 NIU (not in universe) 1 Zinc sheet, roof-tile, etc 2 Tar corrugated paper sheets 3 Waste materials 4 Other materials Dwelling Characteristics Variables -- HOUSEHOLD Roof condition <svar v="CL70A041 CL70A042 CL70A043 CL70A044 CL70A045 CL70A046">3. Predominant material and condition of the dwelling<br /></svar></p> <p><svar v="CL70A043 CL70A044">B. Roof covering<br /></svar></p> <p><svar v="CL70A044" a="all">State of preservation<br /><div class="i1">[] 1 Good<br />[] 2 Acceptable<br />[] 3 Poor</div><br /></svar> <svar v="CL70A043 CL70A044">B. Roof covering (roof)<br /></svar></p> <p><svar v="CL70A044" a="all">State of repair:<br /><br />1) Good: Without apparent defects and leaks.<br /><br />2) Acceptable: With defects that have been repaired or that can be repaired.<br /><br />3) Bad: Roofs that are uneven or sunken, that have holes or are partially destroyed, and have leaks.<br /></svar> Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates the condition of the roof of the dwelling (as good, acceptable, or poor.) 0 NIU (not in universe) 1 Good condition 2 Acceptable 3 Poor condition Dwelling Characteristics Variables -- HOUSEHOLD Floor <svar v="CL70A041 CL70A042 CL70A043 CL70A044 CL70A045 CL70A046">3. Predominant material and condition of the dwelling<br /></svar></p> <p><svar v="CL70A045 CL70A046">C. Floors<br /></svar></p> <p><svar v="CL70A045" a="all">Construction material<br /><div class="i1">[] 1 Wooden board or parquet, plastics, floor tiles, brick, stone<br />[] 2 Earth</div><br /></svar> <svar v="CL70A045 CL70A046">C. Floors<br /></svar></p> <p><svar v="CL70A045" a="all">Building Materials<br /><br />1) Platform or wood parquet; Plastics; Floor tile; brick; stone.<br /><br />Platform or wood parquet: A platform is made up of connected (mortised) boards 5 to 15 cm wide, nailed onto wooden joists. They have a hollow sound when stepped on.<br /><br />Wood parquet is made up of small wooden (cane) boards, generally attached on top of a cement mix. It is a compact floor where footsteps are not felt. In some high-quality older buildings, which are generally quite large, wood parquet can be found nailed to floor joists. In these cases, it makes some sound [when stepped on].<br /><br />Plastics: These floors are characterized by their varied or combined (streaked) colors and their soft consistency which absorbs the noise of footsteps.<br /><br />Floor tile: Made up of polished squares of different bright colors (gray, red, black, with pictures), generally 20 cm by 20 cm.<br /><br />Brick: Made up of small clay tiles of a characteristic brick color.<br /><br />Stone: These are floors that are easily recognizable on sight by their color and characteristic appearance.<br /><br />2) Dirt: Floors without a covering, composed entirely of packed and leveled dirt.<br /></svar> Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates the predominant construction material used in the floors of dwelling. 0 NIU (not in universe) 1 Wood floor, parquet, paving stone 2 Earth Dwelling Characteristics Variables -- HOUSEHOLD Floor condition <svar v="CL70A041 CL70A042 CL70A043 CL70A044 CL70A045 CL70A046">3. Predominant material and condition of the dwelling<br /></svar></p> <p><svar v="CL70A045 CL70A046">C. Floors<br /></svar></p> <p><svar v="CL70A046" a="all">State of preservation<br /><div class="i1">[] 1 Good<br />[] 2 Acceptable<br />[] 3 Poor</div><br /></svar> <svar v="CL70A045 CL70A046">C. Floors<br /></svar></p> <p><svar v="CL70A046" a="all">State of Repair:<br /><br />1) Good: Without apparent defects.<br /><br /><span class="pg">[p. 28]</span><br /><br />2) Acceptable: Floor has fixable defects, such as breaks, detachments, burns, or cracks.<br /><br />A dirt floor is acceptable as long as it is hard, level, and not wet. A dirt floor should never be classified as good.<br /><br />3) Bad: The floor is noticeably uneven, moves when rotten or worm-eaten boards are stepped on, pieces of the flooring are missing, there are holes, water, or mud on dirt floors.<br /></svar> Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates the condition of the floors of dwelling (as good, acceptable, or poor.) 0 NIU (not in universe) 1 Good condition 2 Acceptable 3 Poor condition Dwelling Characteristics Variables -- HOUSEHOLD Water supply <svar v="CL70A050 CL70A051 CL70A052 CL70A053">5. Water service for the dwelling<br /></svar></p> <p><svar v="CL70A050 CL70A052 CL70A053" a="all">A. Water supply<br /><div class="i1">[] 1 Has piped water inside the dwelling<br />[] 2 Has piped water outside the dwelling at a distance of ____ meters<br />[] 3 Does not have piped water supply</div><br /></svar> Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates the method of water supply to the dwelling. 0 NIU (not in universe) 1 Piped water inside the dwelling 2 Piped water outside the dwelling 3 No piped water Utilities Variables -- HOUSEHOLD Water source <svar v="CL70A050 CL70A051 CL70A052 CL70A053">5. Water service for the dwelling<br /></svar></p> <p><svar v="CL70A051" a="all">B. Source of water<br /><div class="i1">[] 1 Public system<br />[] 2 Well or water wheel<br />[] 3 ____ Other source (specify)</div><br /></svar> <svar v="CL70A053 CL70A052 CL70A051"><span class="h3">Question No. 5--Dwelling's Water Service</span><br /></svar></p> <p><svar v="CL70A051" a="all">B. Water source<br /><br />1) From a public network: If the water that the occupants use is from a service connected to a public network, you should mark box 1.<br /><br /><span class="pg">[p. 29]</span><br /><br />2) From a well or water wheel: If the water comes from a hole in the ground that collects potable, underground water, you should mark box 2.<br /><br />3) Other source: If the water doesn't come from a public network, well, or water wheel, but rather from a canal, river, or lake, you should mark box 3.<br /></svar> Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates the water source (public system, well or other source.) 0 NIU (not in universe) 1 Public system 2 Well or chain pump 3 Other source Utilities Variables -- HOUSEHOLD Distance from water <svar v="CL70A053 CL70A052 CL70A051"><span class="h3">Question No. 5--Dwelling's Water Service</span><br /></svar></p> <p><svar v="CL70A053 CL70A052" a="all">A. Water Supply<br /><br />1) Has piped water inside the dwelling: Mark box 1 if the dwelling receives water through a faucet in the kitchen, bathroom, or any other place within the dwelling.<br /><br />2) Has piped water outside the dwelling: In this case, the faucet is outside the dwelling and you should mark box 2, also noting the approximate distance from the faucet to the dwelling.<br /><br />3) Doesn't have piped water supply: You should mark box 3 if the dwelling has a piped water supply neither inside nor outside.<br /></svar> Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates distance of the dwelling from water source. 0 NIU (not in universe) 1 Within 100 meters 2 100 meters and more 3 Unknown, not declared Utilities Variables -- HOUSEHOLD Water supply 2 <svar v="CL70A050 CL70A051 CL70A052 CL70A053">5. Water service for the dwelling<br /></svar></p> <p><svar v="CL70A051" a="all">B. Source of water<br /><div class="i1">[] 1 Public system<br />[] 2 Well or water wheel<br />[] 3 ____ Other source (specify)</div><br /></svar> <svar v="CL70A053 CL70A052 CL70A051"><span class="h3">Question No. 5--Dwelling's Water Service</span><br /></svar></p> <p><svar v="CL70A053 CL70A052" a="all">A. Water Supply<br /><br />1) Has piped water inside the dwelling: Mark box 1 if the dwelling receives water through a faucet in the kitchen, bathroom, or any other place within the dwelling.<br /><br />2) Has piped water outside the dwelling: In this case, the faucet is outside the dwelling and you should mark box 2, also noting the approximate distance from the faucet to the dwelling.<br /><br />3) Doesn't have piped water supply: You should mark box 3 if the dwelling has a piped water supply neither inside nor outside.<br /></svar> Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates availability of piped water inside the dwelling and distance from water supply if piped water is outside the dwelling. 0 NIU (not in universe) 1 Piped water inside the dwelling 2 Piped water outside the dwelling within 100 meters 3 Piped water outside the dwelling further than 100 meters 4 Not piped Utilities Variables -- HOUSEHOLD Group quarters <svar v="CL70A037 CL70A055" a="all"><span class="h3">Question No. 1--Type of Dwelling</span><br /><br />The different types of private and collective dwellings are defined below. You should classify each house that you are responsible for enumerating and mark the appropriate choice from the 14 types of dwelling described.<br /><br />A. Private Dwellings<br /><br />01) House: A permanent building; separate and independent, with a direct entry from the street, garden or lot (cottage, bungalow, duplex, houses under constant construction, hut).<br /><br />02) Apartment: Is located in a permanently constructed building; has a separate entrance from a hallway, stairway, or other common space in the building or direct access from the street. The occupants can come and go without passing through a premises occupied by others.<br /><br />Apartments can also be found in commercial buildings and as separate and independent areas within institutions (apartment for the Director of a hospital or the caretaker of a commercial building).<br /><br />03) Tenement (high-density slum) dwelling: Is a room or group of rooms that make up an independent dwelling. They are located along a common-use hallway and have shared facilities (generally in an old house).<br /><br />04) Shack, rustic hut, or cabin: Is typically a rural building, separate or independent, made of light material (clay with straw, reeds, dried stone).<br /><br />05) Improved shack [Mejora]: Is a construction made of light material put up to take care of a construction site or construction materials, etc., and is generally occupied by the caretaker and family.<br /><br /><span class="pg">[p. 23]</span><br /><br />06) Squatter Dwelling: Is a temporary building made from waste materials (cardboard, tin, waste construction materials). They make up groups of dwellings located in uncultivated areas belonging to others where there is neither urbanization nor hygienic conditions for living there. It is also possible to find squatter dwellings in isolated areas or constructed close to other dwelling groups.<br /><br />07) Dwelling in a structure or other premises not meant for residential purposes: This group includes dwellings under construction, wineries, granaries, garages, warehouses, etc., in other words, buildings that were not originally meant for residential purposes.<br /><br />Included in this group are caves, mine entrances, etc.<br /><br />08) Boxcar, boat, tent, etc.: Are types of mobile lodging or lodging made to be transported.<br /><br />09) Other types of private dwelling: In this category you should include all other types of dwelling besides those already specified.<br /><br />B. Collective Dwellings<br /><br />10) Hotel, Motel, Inn: Is a dwelling where temporary or permanent lodging, with or without food, is provided. A hotel, motel, or inn is a building meant as a collective dwelling.<br /><br />11) Boardinghouse or Guesthouse: Has the same structural characteristics that private dwellings have. If the dwelling has 6 or more boarders it is considered a boardinghouse or guesthouse.<br /><br />If the dwelling has 5 or fewer boarders it should be recorded as a private dwelling.<br /><br />Boardinghouses and guesthouses with a municipal license will always be considered collective dwellings, regardless of the number of boarders.<br /><br />12) Lodge: Is a dwelling meant to provide nighttime lodging. It is characterized by the renting of beds by the night.<br /><br />13) Institutions: Are dwellings that are used as a place of lodging by a group of unrelated people who live together for reasons of health, religious life, discipline, work, etc. (hospitals, boarding schools, barracks, prisons, etc.).<br /><br />14) Other types of collective dwellings: Other types of collective dwellings not among those already listed should be specified in this category.<br /></svar> Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates household type (private or collective). 0 NIU (not in universe) 1 Private 2 Group quarters Group Quarters Variables -- HOUSEHOLD Shower or bath <svar v="CL70A050 CL70A051 CL70A052 CL70A053">5. Water service for the dwelling<br /></svar></p> <p><svar v="CL70A056" a="all">6. Availability of shower or bath in the household<br /><br />A) Shower or bath, for the exclusive use<br /><div class="i1">[] 1 with hot water<br />[] 2 without hot water</div><br /><br />B) Shower or bath, shared use<br /><div class="i1">[] 3 with hot water<br />[] 4 without hot water</div><br /><br />C) [] 5 Has neither shower nor bath<br /></svar> <svar v="CL70A056" a="all"><span class="h3">Question No. 6--Household's access to shower or bathtub</span><br /><br />A. Exclusive use shower or bathtub<br /><br />You should mark box 1 only if the household has a shower or bathtub that is for their exclusive use and which has hot water.<br /><br />You should mark box 2 only if the household has a shower or bathtub that is for their exclusive use but which does not have hot water.<br /><br />B. Common use shower or bathtub<br /><br />You should mark box 3 if the shower or bathtub is used by 2 or more households that live in the same dwelling and has hot water.<br /><br />You should mark box 4 if the shower or bathtub is used by 2 or more households that live in the same dwelling but does not have hot water.<br /><br />C. No shower or bathtub<br /><br />You should mark box 5 when the household's occupants don't have any type of shower or bathtub.<br /></svar> Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates the availability of shower or bath for the exclusive use of the household. 0 NIU (not in universe) 1 Exclusive use with hot water 2 Exclusive use without hot water 3 Shared use with hot water 4 Shared use without hot water 5 No bathtub or shower Dwelling Characteristics Variables -- HOUSEHOLD Toilet <svar v="CL70A050 CL70A051 CL70A052 CL70A053">5. Water service for the dwelling<br /></svar></p> <p><svar v="CL70A057" a="all">7. Availability of Toilet (W.C.) in the household<br /><br />A) Toilet, exclusive use<br /><div class="i1">[] 1 With flushed water<br />[] 2 Without flushed water</div><br /><br />B) Toilet, shared use<br /><div class="i1">[] 3 With flushed water<br />[] 4 Without flushed water</div><br /><br />C) [] 5 Does not have a toilet<br /></svar> <svar v="CL70A057" a="all"><span class="h3">Question No. 7--household's access to toilet (WC)</span><br /><br />A. Exclusive use toilet<br /><br />You should mark the box [box 1] only if the household has a flush toilet that is for their exclusive use.<br /><br />"Flush toilet" means that the toilet is connected by pipes to a water supply network.<br /><br />You should mark box 2 only if the household has a non-flush toilet that is for their exclusive use.<br /><br />B. Common use toilet<br /><br /><span class="pg">[p. 30]</span><br /><br />You should mark box 3 if two or more households that live in the same dwelling use a flush toilet.<br /><br />You should mark box 4 if two or more households that live in the same dwelling use a non-flush toilet.<br /><br />C. No access to toilet<br /><br />You should mark box 5 when the household's occupants don't have any type of toilet.<br /></svar> Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates the availability of toilet facilities for the exclusive use of the household. 0 NIU (not in universe) 1 Exclusive use with water-flushed bowl 2 Exclusive use without water-flushed bowl 3 Shared use with water-flushed bowl 4 Shared use without water-flushed bowl 5 No toilet Dwelling Characteristics Variables -- HOUSEHOLD Sewage <svar v="CL70A050 CL70A051 CL70A052 CL70A053">5. Water service for the dwelling<br /></svar></p> <p><svar v="CL70A058" a="all">8. Toilet wastewater removal system<br /><div class="i1">[] 1 Sewer<br />[] 2 Septic tank<br />[] 3 Pit/latrine<br />[] 4 ____ Other system (specify)<br />[] 5 None</div><br /></svar> <svar v="CL70A058" a="all"><span class="h3">Question No. 8--household's sewer system</span><br /><br />This question attempts to investigate the elimination of human waste. You should mark one of the following alternatives:<br /><br />--Sewer: You will mark box 1 if the dwelling that this household inhabits is connected to a network of sewage receptacles.<br /><br />--Septic tank: You will mark box 2 if the drains lead into a closed concrete tank where the product decants. These tanks drain by overflowing into an absorption well.<br /><br />--Pit/latrine: You will mark box 3 if the waste flows into a hole in the land which was made for that purpose.<br /><br />--Other system: You will mark box 4 if the waste flows into a canal, river, barrel, or other waste receptacle [<span class="lang">abrómico</span>], etc.<br /><br />--None: You will mark box 5 if the dwelling that the household inhabits doesn't have any of the systems mentioned.<br /></svar> Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates the method of waste-water removal. 0 NIU (not in universe) 1 Sewer system 2 Septic tank 3 Pit/latrine 4 Other system 5 None Utilities Variables -- HOUSEHOLD Electric light in dwelling <svar v="CL70A059" a="all">9. Electric lighting in the household<br /><div class="i1">[] 1 Has electric lighting<br />[] 2 Does not have electric lighting</div><br /></svar> <svar v="CL70A059" a="all"><span class="h3">Question No. 9 - household's electric lighting</span><br /><br />You should mark accordingly, whether the dwelling that the household lives in:<br /><br />1) Has electric lighting<br />2) Does not have electric lighting<br /></svar> Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates the availability of electric lighting to the household. 0 NIU (not in universe) 1 Has 2 Does not have Utilities Variables -- HOUSEHOLD Kitchen <svar v="CL70A060" a="all">A. Room used for kitchen<br /><div class="i1">[] 1 Has a kitchen<br />[] 2 Does not have a kitchen</div><br /></svar> <svar v="CL70A060 CL70A061"><span class="h3">Question No. 10--Household's access to kitchen and household's fuel use</span><br /></svar></p> <p><svar v="CL70A060" a="all">A. Kitchen<br /><br />1) Has kitchen: A kitchen is a room or space equipped to prepare main meals and used principally for this purpose (kitchen, kitchenettes, closet kitchens).<br /><br />2) Doesn't have kitchen: This box should be marked if the household doesn't have a place meant exclusively for preparing meals.<br /></svar> Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates whether the household has a kitchen. 0 NIU (not in universe) 1 Has 2 Does not have Dwelling Characteristics Variables -- HOUSEHOLD Fuel <svar v="CL70A061" a="all">B. Fuel used for cooking<br /><div class="i1">[] 1 Gas<br />[] 2 Electricity<br />[] 3 Paraffin (kerosene)<br />[] 4 Other</div><br /></svar> <svar v="CL70A060 CL70A061"><span class="h3">Question No. 10--Household's access to kitchen and household's fuel use</span><br /></svar></p> <p><svar v="CL70A061" a="all">B. Fuel used for cooking<br /><br />You will mark one of the four alternatives, according to the fuel used in the kitchen.<br /><br />If more than one fuel is used, you will mark the one that is used most.<br /></svar> Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates the type of fuel used for cooking. 0 NIU (not in universe) 1 Gas 2 Electricity 3 Paraffin 4 Other Utilities Variables -- HOUSEHOLD Dwelling type, household record Office Use: <br />____ Province <br />____ Department <br />____ Municipality <br />____ District <br />____ Census Zone <br />____ Sector of Enumeration <br />____ Dwelling order number <br />____ Form order number <br />____ Area <br />____ Locality <br />____ Category <br />____ Household type Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates the type of dwelling. 01 House 02 Apartment 03 Room in a high-density slum dwelling 04 Shack in a farm, Indian dweliing or rustic hut 05 Improved shack or gov-provided emergency shelter (Mejora) 06 Squatter settlement 07 Improvised dwelling (Squatter settlement) 08 Trailer, boat, boxcar 09 Other private dwelling 10 Hotel, Motel or Inn 11 Boarding house 12 Guesthouse or short-term hotel 13 Institution (hospotal, convent) 14 Other group quarters 98 Unknown 99 NIU (not in universe) Group Quarters Variables -- HOUSEHOLD Household type Office Use: <br />____ Province <br />____ Department <br />____ Municipality <br />____ District <br />____ Census Zone <br />____ Sector of Enumeration <br />____ Dwelling order number <br />____ Form order number <br />____ Area <br />____ Locality <br />____ Category <br />____ Household type Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates the household type as nuclear, extended, census household, and single person household. 1 Nuclear (head, spouse/partner and unmarried children) 2 Extended (Nuclear plus relatives) 3 Census household (extended plus other non-relatives) 4 One-person household - only the household head 8 Unknown 9 NIU (not in universe) Constructed Household Variables -- HOUSEHOLD Number of rooms in the dwelling <svar v="CL70A069">11. Number of rooms used by the household for residential purposes (excluding kitchen and bath)<br /><div class="i1">____ Number</div><br /></svar> <svar v="CL70A068 CL70A049"><span class="h3">Question No. 4--Number of rooms in the dwelling</span><br /><br />A room is any space, within a dwelling, that is enclosed by walls at least 2 meters high and that has a surface of at least 4 square meters, enough space to accommodate a bed.<br /></svar></p> <p><svar v="CL70A068" a="all">A. Number of rooms used for residential purposes<br /><br />In this item, you should include living rooms, dining rooms, bedrooms, studies, recreation rooms, servants' quarters, etc. The kitchen, bathroom, hallways, vestibules, etc. should be excluded.<br /></svar> Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates the number of rooms in the dwelling. 01 1 room 02 2 rooms 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 rooms 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of rooms occupied by household <svar v="CL70A069" a="all"><span class="h3">Question No. 11--Number of rooms occupied by the household for residential purposes (excluding kitchen and bathroom)</span><br /><br />Indicate the total number of rooms in the dwelling that the household occupies for residential purposes.<br /></svar> Chile 1970: Occupied dwellings [discrepancies:none] This variable indicates the number of rooms occupied by the household for residential purposes (excluding kitchen and bath.) 01 1 room 02 2 rooms 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 rooms 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Ownership <svar v="CL70A070 CL70A071 CL70A072">12. Condition of tenure (ownership)<br /></svar> <svar v="CL70A070 CL70A071 CL70A072"><span class="h3">Question No. 12--Household's ownership condition</span><br /></svar></p> <p><svar v="CL70A070" a="all">A. Ownership<br /><br />This is the title that confers the right to occupy the dwelling. You should mark one of the following categories.<br /><br />1) Owner: The Head or any member of the household is the owner of the dwelling.<br /><br />2) Tenant: The Head of Household is a tenant and pays monthly rent.<br /><br />3) Sublessor: The primary tenant rents a part of the dwelling to a Head of Household.<br /><br />4) Usufructuary: He who occupies the dwelling or a part of it with the permission of the owner or tenant, without paying rent.<br /><br />5) Other: Mark this choice for any other type of ownership, specifying what type it is.<br /></svar> Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates the dwelling ownership status of the household (owner, renter, etc.). 1 Owner 2 Renter 3 Subletting 4 Usufructuary 5 Other 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Mortgage status <svar v="CL70A071" a="all">B. If owner, the dwelling occupied by this household is:<br /><div class="i1">[] 1 Completely paid for<br />[] 2 Partially paid for</div><br /></svar> <svar v="CL70A070 CL70A071 CL70A072"><span class="h3">Question No. 12--Household's ownership condition</span><br /></svar></p> <p><svar v="CL70A071" a="all">B. If it is an Owner<br /><br />The dwelling occupied by the household can be in two conditions:<br /><br /><span class="pg">[p. 32] </span><br /><br /><div class="i1">1) Totally paid off<br />2) Partially paid off</div><br /></svar> Chile 1970: Occupied dwellings which have or are been paid for [discrepancies: none] This variable indicates whether the property is totally or partially paid for (in case the household is the owner of the dwelling.) 1 Completely paid 2 Partially paid 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Rent paid <svar v="CL70A072" a="all">C. If a renter or sub-letter<br /><div class="i1">____ Escudos Monthly rent</div><br /></svar> <svar v="CL70A070 CL70A071 CL70A072"><span class="h3">Question No. 12--Household's ownership condition</span><br /></svar></p> <p><svar v="CL70A072" a="all">C. If it is a Tenant or Sublessor<br /><br />You should find out the monthly rent in escudos [the local currency].<br /></svar> Chile 1970: Occupied, rented or sublet dwellings [discrepancies: none] This variable indicates rent per month for the dwelling. 01 Less than 50 02 50 - 99.9 03 100 - 249.9 04 250 - 499.9 05 500 - 749.9 06 750 - 999.9 07 1000 - 1999.9 08 2000 - and above 09 Don't know 98 Unknown 99 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Automobile available <svar v="CL70A073 CL70A074 CL70A075 CL70A076 CL70A077 CL70A078 CL70A079 CL70A080" a="all">13. Vehicles and Household equipment<br /><div class="i1">[] 1 Auto, truck, light truck<br />[] 2 Motorcycle<br />[] 3 Bicycle<br />[] 4 Radio receptor<br />[] 5 Television<br />[] 6 Refrigerator<br />[] 7 Sewing machine<br />[] 8 None</div><br /></svar> <svar v="CL70A073 CL70A074 CL70A075 CL70A076 CL70A077 CL70A078 CL70A079 CL70A080" a="all"><span class="h3">Question No. 13--Household's Vehicles and Equipment</span><br /><br />Mark the various devices or vehicles that can exist in a household and that are currently in use. Mark box 3 "bicycle" only when it is being used as a means of transportation to go to work, to school, etc. Don't mark devices or vehicles that are broken and can't be fixed. If none of these devices exist in the household, mark box 8.<br /></svar> Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates availability of an automobile for the use of household. 0 Does not have 1 Has 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Motorcycle available <svar v="CL70A073 CL70A074 CL70A075 CL70A076 CL70A077 CL70A078 CL70A079 CL70A080" a="all">13. Vehicles and Household equipment<br /><div class="i1">[] 1 Auto, truck, light truck<br />[] 2 Motorcycle<br />[] 3 Bicycle<br />[] 4 Radio receptor<br />[] 5 Television<br />[] 6 Refrigerator<br />[] 7 Sewing machine<br />[] 8 None</div><br /></svar> <svar v="CL70A073 CL70A074 CL70A075 CL70A076 CL70A077 CL70A078 CL70A079 CL70A080" a="all"><span class="h3">Question No. 13--Household's Vehicles and Equipment</span><br /><br />Mark the various devices or vehicles that can exist in a household and that are currently in use. Mark box 3 "bicycle" only when it is being used as a means of transportation to go to work, to school, etc. Don't mark devices or vehicles that are broken and can't be fixed. If none of these devices exist in the household, mark box 8.<br /></svar> Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates the availability of a motorcycle for the use of the household. 0 Does not have 1 Has 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Bicycle available <svar v="CL70A073 CL70A074 CL70A075 CL70A076 CL70A077 CL70A078 CL70A079 CL70A080" a="all">13. Vehicles and Household equipment<br /><div class="i1">[] 1 Auto, truck, light truck<br />[] 2 Motorcycle<br />[] 3 Bicycle<br />[] 4 Radio receptor<br />[] 5 Television<br />[] 6 Refrigerator<br />[] 7 Sewing machine<br />[] 8 None</div><br /></svar> <svar v="CL70A073 CL70A074 CL70A075 CL70A076 CL70A077 CL70A078 CL70A079 CL70A080" a="all"><span class="h3">Question No. 13--Household's Vehicles and Equipment</span><br /><br />Mark the various devices or vehicles that can exist in a household and that are currently in use. Mark box 3 "bicycle" only when it is being used as a means of transportation to go to work, to school, etc. Don't mark devices or vehicles that are broken and can't be fixed. If none of these devices exist in the household, mark box 8.<br /></svar> Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates the availability of a bicycle for the use of the household. 0 Does not have 1 Has 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Radio <svar v="CL70A073 CL70A074 CL70A075 CL70A076 CL70A077 CL70A078 CL70A079 CL70A080" a="all">13. Vehicles and Household equipment<br /><div class="i1">[] 1 Auto, truck, light truck<br />[] 2 Motorcycle<br />[] 3 Bicycle<br />[] 4 Radio receptor<br />[] 5 Television<br />[] 6 Refrigerator<br />[] 7 Sewing machine<br />[] 8 None</div><br /></svar> <svar v="CL70A073 CL70A074 CL70A075 CL70A076 CL70A077 CL70A078 CL70A079 CL70A080" a="all"><span class="h3">Question No. 13--Household's Vehicles and Equipment</span><br /><br />Mark the various devices or vehicles that can exist in a household and that are currently in use. Mark box 3 "bicycle" only when it is being used as a means of transportation to go to work, to school, etc. Don't mark devices or vehicles that are broken and can't be fixed. If none of these devices exist in the household, mark box 8.<br /></svar> Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates the availability of radio for the use of the household. 0 Does not have 1 Has 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Television <svar v="CL70A073 CL70A074 CL70A075 CL70A076 CL70A077 CL70A078 CL70A079 CL70A080" a="all">13. Vehicles and Household equipment<br /><div class="i1">[] 1 Auto, truck, light truck<br />[] 2 Motorcycle<br />[] 3 Bicycle<br />[] 4 Radio receptor<br />[] 5 Television<br />[] 6 Refrigerator<br />[] 7 Sewing machine<br />[] 8 None</div><br /></svar> <svar v="CL70A073 CL70A074 CL70A075 CL70A076 CL70A077 CL70A078 CL70A079 CL70A080" a="all"><span class="h3">Question No. 13--Household's Vehicles and Equipment</span><br /><br />Mark the various devices or vehicles that can exist in a household and that are currently in use. Mark box 3 "bicycle" only when it is being used as a means of transportation to go to work, to school, etc. Don't mark devices or vehicles that are broken and can't be fixed. If none of these devices exist in the household, mark box 8.<br /></svar> Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates the availability of television for the use of household. 0 Does not have 1 Has 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Refrigerator <svar v="CL70A073 CL70A074 CL70A075 CL70A076 CL70A077 CL70A078 CL70A079 CL70A080" a="all">13. Vehicles and Household equipment<br /><div class="i1">[] 1 Auto, truck, light truck<br />[] 2 Motorcycle<br />[] 3 Bicycle<br />[] 4 Radio receptor<br />[] 5 Television<br />[] 6 Refrigerator<br />[] 7 Sewing machine<br />[] 8 None</div><br /></svar> <svar v="CL70A073 CL70A074 CL70A075 CL70A076 CL70A077 CL70A078 CL70A079 CL70A080" a="all"><span class="h3">Question No. 13--Household's Vehicles and Equipment</span><br /><br />Mark the various devices or vehicles that can exist in a household and that are currently in use. Mark box 3 "bicycle" only when it is being used as a means of transportation to go to work, to school, etc. Don't mark devices or vehicles that are broken and can't be fixed. If none of these devices exist in the household, mark box 8.<br /></svar> Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates the availability of a refrigerator for the use of the household. 0 Does not have 1 Has 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Sewing machine <svar v="CL70A073 CL70A074 CL70A075 CL70A076 CL70A077 CL70A078 CL70A079 CL70A080" a="all">13. Vehicles and Household equipment<br /><div class="i1">[] 1 Auto, truck, light truck<br />[] 2 Motorcycle<br />[] 3 Bicycle<br />[] 4 Radio receptor<br />[] 5 Television<br />[] 6 Refrigerator<br />[] 7 Sewing machine<br />[] 8 None</div><br /></svar> <svar v="CL70A073 CL70A074 CL70A075 CL70A076 CL70A077 CL70A078 CL70A079 CL70A080" a="all"><span class="h3">Question No. 13--Household's Vehicles and Equipment</span><br /><br />Mark the various devices or vehicles that can exist in a household and that are currently in use. Mark box 3 "bicycle" only when it is being used as a means of transportation to go to work, to school, etc. Don't mark devices or vehicles that are broken and can't be fixed. If none of these devices exist in the household, mark box 8.<br /></svar> Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates the availability of a sewing machine for the use of the household. 0 Does not have 1 Has 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD No appliances or vehicles <svar v="CL70A073 CL70A074 CL70A075 CL70A076 CL70A077 CL70A078 CL70A079 CL70A080" a="all">13. Vehicles and Household equipment<br /><div class="i1">[] 1 Auto, truck, light truck<br />[] 2 Motorcycle<br />[] 3 Bicycle<br />[] 4 Radio receptor<br />[] 5 Television<br />[] 6 Refrigerator<br />[] 7 Sewing machine<br />[] 8 None</div><br /></svar> <svar v="CL70A073 CL70A074 CL70A075 CL70A076 CL70A077 CL70A078 CL70A079 CL70A080" a="all"><span class="h3">Question No. 13--Household's Vehicles and Equipment</span><br /><br />Mark the various devices or vehicles that can exist in a household and that are currently in use. Mark box 3 "bicycle" only when it is being used as a means of transportation to go to work, to school, etc. Don't mark devices or vehicles that are broken and can't be fixed. If none of these devices exist in the household, mark box 8.<br /></svar> Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates whether the dwelling has any appliances or vehicles. 0 Does not have 1 Has something 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Family size Chile 1970: Occupied dwellings [discrepancies: none] This variable indicates the size of the household. 1 1 person 2 2 to 4 persons 3 5 to 7 persons 4 8 to 10 persons 5 11 or more 8 Unknown 9 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 Mother's location in household MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers. The method by which probable child-mother links are identified is described in PARRULE. The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of MOMLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships. To restrict MOMLOC to biological mothers, such as for own children fertility estimation, MOMLOC should be reset to zero when STEPMOM is greater than zero. MOMLOC is a 3-digit numeric variable. Codes0 = No mother of this person present in the household. 1 or higher = The person number of this person's mother Constructed Family Interrelationship Variables -- PERSON Father's location in household POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers. The method by which probable child-father links are identified is described in PARRULE. The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of POPLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships. To restrict POPLOC to biological mothers, such as for own children fertility estimation, POPLOC should be reset to zero when STEPPOP is greater than zero. POPLOC is a 3-digit numeric variable. Codes0 = No father of this person present in the household. 1 or higher = The person number of this person's father Constructed Family Interrelationship Variables -- PERSON Spouse's location in household SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses. The method by which probable spouse-spouse links are identified is described in SPRULE. The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. For more details on the construction of SPLOC, see the Comparability section of SPRULE and this paper on IPUMSI family linking methodology. SPLOC is a 3-digit numeric variable. Codes0 = No spouse of this person present in the household. 1 or higher = The person number of this person's spouse Constructed Family Interrelationship Variables -- PERSON Rule for linking parent PARRULE describes the criteria by which the IPUMS International variables MOMLOC and POPLOC linked the person to a probable mother and/or father. IPUMS International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. 00 No parent of person in household 11 Link to head or spouse, unambiguous 12 Link to head or spouse, ambiguous 21 Child-Grandchild, within empirical child cap 22 Child-Grandchild, within constructed child cap 23 Child-Grandchild, exceeds child cap 31 Specified Other Relatives, within empirical child cap 32 Specified Other Relatives, within constructed child cap 33 Specified Other Relatives, exceeds child cap 41 Other Relatives, within empirical child cap 42 Other Relatives, within constructed child cap 51 Non-Relatives, within empirical child cap 52 Non-Relatives, within constructed child cap Constructed Family Interrelationship Variables -- PERSON Rule for linking spouse SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse. IPUMS International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. 00 No spouse present 01 Rule 1: strong relationship pairing, couple adjacent 02 Rule 2: strong relationship pairing, couple not adjacent 03 Rule 3: weak relationship pairing, couple adjacent 04 Rule 4: weak relationship pairing, couple not adjacent 05 Rule 5: weak consensual union pairings 06 Rule 6: sample-specific rules (usually child-to-child) Constructed Family Interrelationship Variables -- PERSON Probable stepmother STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household. The codes for STEPMOM are as follows: 0 = Biological mother or no mother of this person present in household. 1 = Mother has no children born or surviving. 2 = Child reports mother is deceased. 3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law). 4 = Mother reports no children in the home. 5 = Age difference between mother and child was less than 12 or greater than 54 years. 6 = Child exceeds known fertility of mother. In cases where more than one criterion for a likely stepmother is met, STEPMOM will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. In cases where a mother is linked to more children than she reports in CHBORN or CHSURV, the determination of which children to flag as probable stepchildren is based first on the strength of the child-mother pairing (see PARRULE), and then on the order of children in the household roster. Since most links to a given mother will be made at the same strength level, order will often be the decisive factor in flagging probable stepmother relationships. Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population. 0 Biological mother or no mother present 1 Mother has no children born or surviving 2 Child reports mother is deceased 3 Explicitly identified step relationship 4 Mother reports no children in the home 5 Age difference implausible 6 Child exceeds known fertility of mother Constructed Family Interrelationship Variables -- PERSON Probable stepfather STEPPOP indicates whether a person's father, as identified by POPLOC, was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household. The codes for STEPPOP are as follows: 0 = Biological father or no father of this person present in household. 1 = Child reports father is deceased. 2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law). 3 = Age difference between father and child was less than 12 or greater than 54 years. In cases where more than one criterion for a likely stepfather is met, STEPPOP will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population. 0 Biological father or no father present 1 Child reports father is deceased 2 Explicitly identified step relationship 3 Age difference implausible 4 Spouse of mother 5 Identified as adopted 6 Surname difference -- male child or never-married female Constructed Family Interrelationship Variables -- PERSON Man with more than one wife linked POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. 0 No more than one wife linked via SPLOC 1 More than one wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Woman is second or higher order wife POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated. The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. 0 Person is not the 2nd or higher order wife linked via SPLOC 1 Person is the 2nd or higher order wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Family unit membership FAMUNIT is a constructed variable indicating to which family within the household a person belongs. All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). FAMUNIT is a 4-digit numeric variable. CodesIf there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on. Constructed Family Interrelationship Variables -- PERSON Number of own family members in household FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them. FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membership). The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). 0001 1 family member present 0002 2 family members present 0003 3 family members present 0004 4 0005 5 0006 6 0007 7 0008 8 0009 9 0010 10 0011 11 0012 12 0013 13 0014 14 0015 15 0016 16 0017 17 0018 18 0019 19 0020 20 0021 21 0022 22 0023 23 0024 24 0025 25 0026 26 0027 27 0028 28 0029 29 0030 30 0031 31 0032 32 0033 33 0034 34 0035 35 0036 36 0037 37 0038 38 0039 39 0040 40 0041 41 0042 42 0043 43 0044 44 0045 45 0046 46 0047 47 0048 48 0049 49 0050 50 0051 51 0052 52 0053 53 0054 54 0055 55 0056 56 0057 57 0058 58 0059 59 0060 60 0061 61 0062 62 0063 63 0064 64 0065 65 0066 66 0067 67 0068 68 0069 69 0070 70 0071 71 0072 72 0073 73 0074 74 0075 75 0076 76 0077 77 0078 78 0079 79 0080 80 0081 81 0082 82 0083 83 0084 84 0085 85 0086 86 0087 87 0088 88 0089 89 0090 90 0091 91 0092 92 0093 93 0094 94 0095 95 0096 96 0097 97 0098 98 0099 99 or more persons Constructed Family Interrelationship Variables -- PERSON Number of own children in household NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more children in household Constructed Family Interrelationship Variables -- PERSON Number of own children under age 5 in household NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more own children under age 5 in household 98 One or more children have unknown age Constructed Family Interrelationship Variables -- PERSON Age of eldest own child in household ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. ELDCH is top-coded at age 50 or older. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Age of youngest own child in household YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. YNGCH is top-coded at age 50 or older. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Relationship to household head [general version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown Demographic Variables -- PERSON Relationship to household head [detailed version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1000 Head 2000 Spouse/partner 2100 Spouse 2200 Unmarried partner 2210 Civil union 2300 Same-sex spouse/partner 3000 Child 3100 Biological child 3200 Adopted child 3300 Stepchild 3400 Child/child-in-law 3500 Child/child-in-law/grandchild 3600 Child of unmarried partner 4000 Other relative 4100 Grandchild 4110 Grandchild or great grandchild 4120 Great grandchild 4130 Great-great grandchild 4200 Parent/parent-in-law 4210 Parent 4211 Stepparent 4220 Parent-in-law 4300 Child-in-law 4301 Daughter-in-law 4302 Spouse/partner of child 4310 Unmarried partner of child 4400 Sibling/sibling-in-law 4410 Sibling 4420 Stepsibling 4430 Sibling-in-law 4431 Sibling of spouse/partner 4432 Spouse/partner of sibling 4500 Grandparent 4510 Great grandparent 4600 Parent/grandparent/ascendant 4700 Aunt/uncle 4800 Other specified relative 4810 Nephew/niece 4820 Cousin 4830 Sibling's sibling-in-law 4900 Other relative, not elsewhere classified 4910 Other relative with same family name 4920 Other relative with different family name 4930 Other relative, not specified (secondary family) 5000 Non-relative 5100 Friend/guest/visitor/partner 5110 Partner/friend 5111 Friend 5112 Partner/roommate 5113 Housemate/roommate 5120 Visitor 5130 Ex-spouse 5140 Godparent 5150 Godchild 5200 Employee 5210 Domestic employee 5220 Relative of employee, n.s. 5221 Spouse of servant 5222 Child of servant 5223 Other relative of servant 5300 Roomer/boarder/lodger/foster child 5310 Boarder 5311 Boarder or guest 5320 Lodger 5330 Foster child 5340 Tutored/foster child 5350 Tutored child 5400 Employee, boarder, or guest 5500 Other specified non-relative 5510 Agregado 5520 Temporary resident, guest 5600 Group quarters 5610 Group quarters, non-inmates 5620 Institutional inmates 5900 Non-relative, n.e.c. 6000 Other relative or non-relative 9999 Unknown Demographic Variables -- PERSON Age AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. 000 Less than 1 year 001 1 year 002 2 years 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100+ 999 Not reported/missing Demographic Variables -- PERSON Age, grouped into intervals AGE2 gives computed years of age grouped into intervals. 01 0 to 4 02 5 to 9 03 10 to 14 04 15 to 19 05 0 to 5 06 6 to 10 07 10 to 15 08 11 to 14 09 15 to 17 10 16 to 19 11 18 to 24 12 20 to 24 13 25 to 29 14 30 to 34 15 35 to 39 16 40 to 44 17 45 to 49 18 50 to 54 19 55 to 59 20 60 to 64 21 65 to 69 22 70 to 74 23 75 to 79 24 80 to 84 25 85+ 98 Unknown Demographic Variables -- PERSON Sex SEX reports the sex (gender) of the respondent. 1 Male 2 Female 9 Unknown Demographic Variables -- PERSON Marital status [general version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 0 NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing Demographic Variables -- PERSON Marital status [detailed version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 000 NIU (not in universe) 100 Single/never married 110 Engaged 111 Never married and never cohabited 200 Married or consensual union 210 Married, formally 211 Married, civil 212 Married, religious 213 Married, civil and religious 214 Married, civil or religious 215 Married, traditional/customary 216 Married, monogamous 217 Married, polygamous 219 Married, spouse absent (historical samples) 220 Consensual union 300 Separated/divorced/spouse absent 310 Separated or divorced 320 Separated or annulled 330 Separated 331 Separated legally 332 Separated de facto 333 Separated from marriage 334 Separated from consensual union 335 Separated from consensual union or marriage 340 Annulled 350 Divorced 400 Widowed 410 Widowed or divorced 411 Widowed from consensual union or marriage 412 Widowed from marriage 413 Widowed from consensual union 420 Widowed, divorced, or separated 999 Unknown/missing Demographic Variables -- PERSON Consensual union CONSENS indicates whether the respondent was in a consensual union -- a de facto marriage. 1 Yes, in consensual union 2 No, married 8 Unknown 9 NIU (not in universe) Demographic Variables -- PERSON Children ever born CHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children surviving CHSURV reports the number of children born to a woman who were still living at the time of the census. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Nativity status NATIVITY indicates whether the person was native-born or foreign-born. 0 NIU (not in universe) 1 Native-born 2 Foreign-born 9 Unknown/missing Nativity and Birthplace Variables -- PERSON Country of birth BPLCOUNTRY indicates the person's country of birth. 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11005 British Indian Ocean Territory 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11051 Ethiopia (including Eritrea) 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, other or n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo (Republic of) 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, other or n.s. 13000 Northern Africa 13010 Algeria 13011 Algeria/Tunisia 13020 Egypt 13021 Egypt/Sudan 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, other or n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, other or n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15021 Upper Volta 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15081 Guinea-Bissau and Cape Verde 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15180 Canary Islands 15999 West Africa, other or n.s. 19999 Africa, other or n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21200 St. Croix 21210 St. John 21220 St. Lucia 21230 St Thomas 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21991 Caribbean commonwealth, n.s. 21999 Caribbean, other or n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, other or n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23999 South America, other or n.s. 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 United States 24999 North America, other or n.s. 29999 Americas, other or n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 31999 Eastern Asia, other or n.s. 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32042 India/Pakistan/Bangladesh/Sri Lanka 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32101 Pakistan/Bangladesh 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32999 South-Central Asia, other or n.s. 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33999 South-Eastern Asia, other or n.s. 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34051 Abkhazia 34052 South Ossetia 34060 Iraq 34070 Israel 34071 Israel/Palestine 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34111 West Bank 34112 Gaza Strip 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34991 Middle East 34999 Western Asia, other or n.s. 39999 Asia, other or n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Bulgaria/Greece 41030 Czech Republic/Czechoslovakia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41991 Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia 41992 Central-Eastern Europe 41999 Eastern Europe, other or n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42100 Svalbard and Jan Mayen Islands 42110 Sweden 42120 United Kingdom 42999 Northern Europe, other or n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovina 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43121 Spain/Portugal 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43144 Serbia and Montenegro 43991 Gibraltar/Malta 43992 Portugal/Greece 43993 Italy, Holy See, San Marino 43999 Southern Europe, other or n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxemburg 44022 Belgium/Netherlands/Luxemburg 44030 France 44040 Germany 44042 West Germany 44043 Germany/Austria 44044 Mecklenburg-Schwerin 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44991 Belgium, Denmark, Luxembourg, Netherlands 44999 Western Europe, other or n.s. 49992 European Union 49993 European Union (original 15) 49994 Other European Union (not original 15) 49999 Europe, other or n.s. 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 52999 Melanesia, n.s. 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53060 Federated States of Micronesia 53999 Micronesia, other or n.s. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Western Samoa 54060 Eastern Samoa 54070 Tokelau 54080 Tonga 54090 Tuvalu 54100 Wallis and Futuna Isls. 54999 Polynesia, other or n.s. 55000 U.S. Pacific Possessions 55010 American Samoa 55020 Baker Island 55030 Guam 55040 Howland Island 55050 Johnston Atoll 55060 Kingman Reef 55070 Midway Islands 55080 Wake Island 55999 US Pacific, other or n.s. 59999 Oceania, other or n.s. 80000 AT SEA 90000 Other countries n.s. 99999 Unknown Nativity and Birthplace Variables -- PERSON Province of birth, 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, 5 years MIGRATE5 indicates the person's place of residence 5 years ago. The first digit records movement across major administrative divisions and countries. The second digit reports movement across minor administrative divisions, for samples in which that detail is available. 00 NIU (not in universe) 10 Same major administrative unit 11 Same major, same minor administrative unit 12 Same major, different minor administrative unit 20 Different major administrative unit 30 Abroad 99 Unknown/missing Migration: Global Variables -- PERSON Province of residence 5 years ago, Chile, 1970; consistent boundaries, GIS MIG1ALT_5_CL indicates the province within Chile in which the person lived five years prior to the census. The 1970 sample is coded into the pre-1974 geographic system of provinces. See MIG1_5_CL for a comparable variable using the modern province classification for the 1982-2002 samples. See also MIG1ALT_P_CL for a similar variable for 1960 on province of previous residence using the pre-1974 geographic classification. 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 (within household) Chile 1970: All persons This variable indicates the person number within household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 Technical Person Variables -- PERSON Relationship to household head <svar v="CL70A401" a="all">2. Relationship<br />What is the relationship to the head of the household?<br /><br /><div class="i1">[] 0 Head<br />[] 1 Wife or husband<br />[] 2 Live-in Partner<br />[] 3 Child<br />[] 4 Parents or parents-in-law<br />[] 5 Grandchild<br />[] 6 Other relative<br />[] 7 Other non-relative<br />[] 8 Unknown</div><br /></svar> <svar v="CL70A401" a="all"><span class="h3">Question No. 2--Family or Other Relationship </span><br /><br />Keep in mind that what we want to find out is the relationship (bond) that the person being enumerated has with the head of household at the time of the census.<br /><br />For the purposes of the census, people will be classified in seven (7) groups. The title "Head" is printed in the first column; therefore, it is only necessary to mark the box after the word "Head."<br /><br />In the following columns you should mark the family or other relationship that ties the rest of the household members to the head of household.<br /></svar> Chile 1970: All persons This variable indicates the relationship of the person to the household head. 0 Household head 1 Wife or husband 2 Live-in partner or companion 3 Child 4 Parents or parents-in-law 5 Grandchild 6 Other relative 7 Other non-relative 9 Unknown Demographic Variables -- PERSON Sex <svar v="CL70A402" a="all">3. Sex:<br /><br />Are you a man or a woman?<br /><br /><div class="i1">[] 1 Male<br />[] 2 Female</div><br /></svar> <svar v="CL70A402" a="all"><span class="h3">Question No. 3--Sex</span><br /><br />Mark the box that corresponds to the sex indicated by the informant for each of the people that spent the night in the household.<br /></svar> Chile 1970: All persons This variable indicates the gender of the person. 1 Male 2 Female Demographic Variables -- PERSON Age <svar v="CL70A403" a="all">4. Age:<br /><div class="i1">How old are you in years completed? ____</div><br /><br />For those less than one year old, write "00."<br /></svar> <svar v="CL70A403" a="all"><span class="h3">Question No. 4--Age</span><br /><br />You must remember that the information requested is the number of years that the person being enumerated has completed and not the number of years that they will have completed. You should exhaust all resources in order to obtain the exact age. If, despite you efforts, it is impossible to obtain it, estimate the age of the person if the person is present or, if absent, ask the informant for an estimate.<br /><br />If the person being enumerated is less than one year old, write down zero, zero (00).<br /></svar> Chile 1970: All persons This variable indicates the age of an individual. 00 Less than one year 01 1 year old 02 2 years old 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 years old 85 85+ years Demographic Variables -- PERSON Marital status <svar v="CL70A409" a="all">5. Current marital status: Only for those 12 years of age and older.<br /><br />What is your current marital status?<br /><br /><div class="i1">[] 1 Married<br />[] 2 Consensual union<br />[] 3 Widowed<br />[] 4 Separated or annulled<br />[] 5 Single<br />[] 6 Unknown</div><br /></svar> <svar v="CL70A409" a="all"><span class="h3">Question No. 5--Current Marital Status</span><br /><br />Only for those 12 and older<br /><br />When asking this question, you should mention one marital status at a time and await a response before mentioning the next one. Be careful not to alter the order of the alternatives.<br /><br />There are five marital statuses that we are interested in knowing about, and they are defined as follows:<br /><br />1) Married: A person who has entered into matrimony before an appropriate authority and who lives in this state with their legal spouse.<br /><br />2) Consensual Union: A person who lives maritally with another in a stable situation, without having legalized the union and who can have any of the other legal marital statuses.<br /><br />3) Widowed: A person who, after the death of their spouse, has not remarried nor lives in a de facto union.<br /><br />4) Separated or annulled: A person who, having been married or in a stable de facto union, doesn't live with their spouse or partner.<br /><br />5) Single: A person who has never married and doesn't live maritally with another person.<br /></svar> Chile 1970: All persons This variable indicates the marital status of the individual. 1 Single 2 Married 3 Consensual union 4 Widowed 5 Separated, annulled Demographic Variables -- PERSON Religion <svar v="CL70A410" a="all">6. Religion:<br /><br />What is your religion?<br /><br /><div class="i1">[]1 Catholic<br /><br />____ Other (specify)</div><br /></svar> <svar v="CL70A410" a="all"><span class="h3">Question No. 6--Religion</span><br /><br />If the person being enumerated is Catholic, mark box 1. If the person being enumerated is of any other religion, you should record it by name after the expression "other."<br /></svar> Chile 1970: All persons This variable indicates the religion that an individual belongs to. 1 Roman Catholic 2 Protestant 3 Jewish 4 Orthodox 5 Muslim 6 Buddhist 7 Other creed 8 No religion 9 Unknown Ethnicity and Language Variables -- PERSON Educational attainment <svar v="CL70A411 CL70A41423 CL70A413 CL70A414 CL70A417 CL70A418"><span class="h3">II -- Educational Characteristics</span><br /><br />For all individuals 5 years of age and older.<br /></svar></p> <p><svar v="CL70A411 CL70A412 CL70A413 CL70A414" a="all">10. Level of instruction (educational level):<br /><br />What is the last year of regular schooling completed, and in what type of schooling?<br /><br /><div class="i1">[Year:]<br />[] 0<br />[] 1<br />[] 2<br />[] 3<br />[] 4<br />[] 5<br />[] 6<br />[] 7<br />[] 8</div><br /><br />Type of schooling:<br /><div class="i1">[] 00 None<br />[] 01 Primary<br />[] 02 Basic<br />[] 03 Secondary<br />[] 04 Middle<br />[] 05 Commercial<br />[] 06 Industrial<br />[] 07 Agricultural<br />[] 08 Feminine technical<br />[] 09 Teacher-training<br />[] 10 University<br />[] 11 Unknown</div><br /></svar> <svar v="CL70A411 CL70A412 CL70A413" a="all"><span class="h3">Question No. 10--Level of Instruction</span><br /><br />This is the last level or year, within the most advanced instructional cycle in the regular educational system, passed by the person being enumerated.<br /><br />In this question, you should obtain two pieces of information.<br /><br /><span class="pg">[p. 36]</span><br /><br />Last level finished or passed, which you will mark in one of the 8 boxes indicated after the first part of this question, and<br /><br />Type of Instruction, which you will mark in a box corresponding to one of the 11 alternatives indicated on the form.<br /></svar> Chile 1970: Persons age 5+ [discrepancies: none] This variable indicates the last year of schooling completed. 000 None 011 First year of primary 012 Second year of primary 013 Third year of primary 014 Fourth year of primary 015 Fifth year of primary 016 Sixth year of primary 019 Primary (year unknown) 021 First year of basic 022 Second year of basic 023 Third year of basic 024 Fourth year of basic 025 Fifth year of basic 026 Sixth year of basic 027 Seventh year of basic 028 Eighth year of basic 029 Basic (year unknown) 031 First year of secondary 032 Second year of secundary 033 Third year of secondary 034 Fourth year of secondary 035 Fifth year of secondary 036 Sixth year of secondary 039 Secondary (year unknown) 041 First year of middle 042 Second year of middle 043 Third year of middle 044 Fourth year of middle 049 Middle (year unknown) 051 First year of commercial 052 Second year of commercial 053 Third year of commercial 054 Fourth year of commercial 055 Fifth year of commercial 056 Sixth year of commercial 059 Commercial (year unknown) 061 First year of industrial 062 Second year of industrial 063 Third year of industrial 064 Fourth year of industrial 065 Fifth year of industrial 066 Sixth year of industrial 069 Industrial (year unknown) 071 First year of agricultural 072 Second year of agricultural 073 Third year of agricultural 074 Fourth year of agricultural 075 Fifth year of agricultural 076 Sixth year of agricultural 079 Agricultural (year unknown) 081 First year of feminine technical 082 Second year of feminine technical 083 Third year of feminine technical 084 Fourth year of feminine technical 085 Fifth year of feminine technical 086 Sixth year of feminine technical 089 Feminine technical (year unknown) 091 First year of teacher training 092 Second year of teacher training 093 Third year of teacher training 094 Fourth year of teacher training 095 Fifth year of teacher training 096 Sixth year of teacher training 099 Teacher training (year unknown) 101 First year of university 102 Second year of university 103 Third year of university 104 Fourth year of university 105 Fifth year of university 106 Sixth year of university 107 Seventh year of university 108 Eighth year of university 109 University (year unknown) 998 Unknown 999 NIU (not in universe) Education Variables -- PERSON School year and degree currently attending <svar v="CL70A411 CL70A41423 CL70A413 CL70A414 CL70A417 CL70A418"><span class="h3">II -- Educational Characteristics</span><br /><br />For all individuals 5 years of age and older.<br /></svar></p> <p><svar v="CL70A411 CL70A412 CL70A413 CL70A414" a="all">10. Level of instruction (educational level):<br /><br />What is the last year of regular schooling completed, and in what type of schooling?<br /><br /><div class="i1">[Year:]<br />[] 0<br />[] 1<br />[] 2<br />[] 3<br />[] 4<br />[] 5<br />[] 6<br />[] 7<br />[] 8</div><br /><br />Type of schooling:<br /><div class="i1">[] 00 None<br />[] 01 Primary<br />[] 02 Basic<br />[] 03 Secondary<br />[] 04 Middle<br />[] 05 Commercial<br />[] 06 Industrial<br />[] 07 Agricultural<br />[] 08 Feminine technical<br />[] 09 Teacher-training<br />[] 10 University<br />[] 11 Unknown</div><br /></svar> <svar v="CL70A411 CL70A412 CL70A413" a="all"><span class="h3">Question No. 10--Level of Instruction</span><br /><br />This is the last level or year, within the most advanced instructional cycle in the regular educational system, passed by the person being enumerated.<br /><br />In this question, you should obtain two pieces of information.<br /><br /><span class="pg">[p. 36]</span><br /><br />Last level finished or passed, which you will mark in one of the 8 boxes indicated after the first part of this question, and<br /><br />Type of Instruction, which you will mark in a box corresponding to one of the 11 alternatives indicated on the form.<br /></svar> Chile 1970: Persons age 5+ attending school [discrepancies: none] This variable indicates years of schooling for people attending school at the time of the census. The information is ideally divided into two parts. The "type of education" (tipo de enseñanza, e.g. primary, university, etc.) and the year of education completed within that group. 101 First year of Primary 102 One year of basic 103 One year of secondary 104 One year of middle 105 One year of commercial 106 One year of industrial 107 One year of agricultural 108 One year of feminine technical 109 One year of teacher training 110 One year of university 201 Two years of primary 202 Two years of basic 203 Two years of secundary 204 Two years of middle 205 Two years of commercial 206 Two years of industrial 207 Two years of agricultural 208 Two years of feminine technical 209 Two years of teacher training 210 Two years of university 301 Three years of primary 302 Three years of basic 303 Three years of secondary 304 Three years of middle 305 Three years of commercial 306 Three years of industrial 307 Three years of agricultural 308 Three years of feminine technical 309 Three years of teacher training 310 Three years of university 401 Four years of primary 402 Four years of basic 403 Four years of secondary 404 Four years of middle 405 Four years of commercial 406 Four years of industrial 407 Four years of agricultural 408 Four years of feminine technical 409 Four years of teacher training 410 Four years of university 501 Five years of primary 502 Five years of basic 503 Five years of secondary 505 Five years of commercial 506 Five years of industrial 507 Five years of agricultural 508 Five years of feminine technical 509 Five years of teacher training 510 Five years of university 601 Six years of primary 602 Six years of basic 603 Six years of secondary 605 Six years of commercial 606 Six years of industrial 607 Six years of agricultural 608 Six years of feminine technical 609 Six years of teacher training 610 Six years of university 702 Seven years of basic 710 Seven years of university 802 Eight years of basic 810 Eight years of university 901 Primary (year unknown) 902 Basic (year unknown) 903 Secondary (year unknown) 904 Middle (year unknown) 905 Commercial (year unknown) 906 Industrial (year unknown) 907 Agricultural (year unknown) 908 Feminine technical (year unknown) 909 Teacher training (year unknown) 910 University (year unknown) 911 Attending school (year unknown) 998 Unknown 999 NIU (not in universe) Education Variables -- PERSON Educational attainment <svar v="CL70A411 CL70A41423 CL70A413 CL70A414 CL70A417 CL70A418"><span class="h3">II -- Educational Characteristics</span><br /><br />For all individuals 5 years of age and older.<br /></svar></p> <p><svar v="CL70A411 CL70A412 CL70A413 CL70A414" a="all">10. Level of instruction (educational level):<br /><br />What is the last year of regular schooling completed, and in what type of schooling?<br /><br /><div class="i1">[Year:]<br />[] 0<br />[] 1<br />[] 2<br />[] 3<br />[] 4<br />[] 5<br />[] 6<br />[] 7<br />[] 8</div><br /><br />Type of schooling:<br /><div class="i1">[] 00 None<br />[] 01 Primary<br />[] 02 Basic<br />[] 03 Secondary<br />[] 04 Middle<br />[] 05 Commercial<br />[] 06 Industrial<br />[] 07 Agricultural<br />[] 08 Feminine technical<br />[] 09 Teacher-training<br />[] 10 University<br />[] 11 Unknown</div><br /></svar> <svar v="CL70A411 CL70A412 CL70A413" a="all"><span class="h3">Question No. 10--Level of Instruction</span><br /><br />This is the last level or year, within the most advanced instructional cycle in the regular educational system, passed by the person being enumerated.<br /><br />In this question, you should obtain two pieces of information.<br /><br /><span class="pg">[p. 36]</span><br /><br />Last level finished or passed, which you will mark in one of the 8 boxes indicated after the first part of this question, and<br /><br />Type of Instruction, which you will mark in a box corresponding to one of the 11 alternatives indicated on the form.<br /></svar> Chile 1970: Persons age 5+ [discrepancies: none] This variable indicates the level of educational attainment. 01 None 02 Primary or basic 03 Secondary or middle 04 Commercial 05 Industrial 06 Agricultural 07 Feminine technical 08 Teacher-training 09 University 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Years of schooling <svar v="CL70A411 CL70A41423 CL70A413 CL70A414 CL70A417 CL70A418"><span class="h3">II -- Educational Characteristics</span><br /><br />For all individuals 5 years of age and older.<br /></svar></p> <p><svar v="CL70A411 CL70A412 CL70A413 CL70A414" a="all">10. Level of instruction (educational level):<br /><br />What is the last year of regular schooling completed, and in what type of schooling?<br /><br /><div class="i1">[Year:]<br />[] 0<br />[] 1<br />[] 2<br />[] 3<br />[] 4<br />[] 5<br />[] 6<br />[] 7<br />[] 8</div><br /><br />Type of schooling:<br /><div class="i1">[] 00 None<br />[] 01 Primary<br />[] 02 Basic<br />[] 03 Secondary<br />[] 04 Middle<br />[] 05 Commercial<br />[] 06 Industrial<br />[] 07 Agricultural<br />[] 08 Feminine technical<br />[] 09 Teacher-training<br />[] 10 University<br />[] 11 Unknown</div><br /></svar> Chile 1970: Persons age 5+ [discrepancies: none] This variable indicates the years of school attainment within particular level. 1 None 2 1 year 3 2-4 years 4 5-6 years 5 7-8 years 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Level attending Chile 1970: Persons age 5+ attending school [discrepancies: none] This variable indicates the educational level that the person is currently attending. 0 Unknown 1 Primary or basic 2 Secondary or middle 3 Commercial 4 Industrial 5 Agricultural 6 Feminine technical 7 Teacher-training 8 University 9 NIU (not in universe) Education Variables -- PERSON Year attending Chile 1970: Persons age 5+ attending school [discrepancies: none] This variable indicates the year of schooling the person is currently attending. 1 1 year 2 2-4 years 3 5-6 years 4 7-8 years 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON School attendance <svar v="CL70A411 CL70A41423 CL70A413 CL70A414 CL70A417 CL70A418"><span class="h3">II -- Educational Characteristics</span><br /><br />For all individuals 5 years of age and older.<br /></svar></p> <p><svar v="CL70A417" a="all">11. School attendance:<br /><br />Do you currently attend an institution of regular schooling?<br /><br /><div class="i1">____ Attending (indicate the course of studies)<br />[] 2 Not attending<br />[] 9 Unknown</div><br /></svar> <svar v="CL70A417" a="all"><span class="h3">Question No. 11--School Attendance</span><br /><br />You will mark box 1 if the person currently attends any regular educational establishment, recording the year and level attended.<br /><br />For example: 4th [year of] basic; 2nd [year of] middle; 1st [year of] university; etc.<br /><br />You will mark box 2 if the person doesn't attend and box 9 if not known.<br /></svar> Chile 1970: Persons age 5+ [discrepancies: none] This variable indicates whether the person is currently attending school. 1 Attending 2 Not attending 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Literacy <svar v="CL70A411 CL70A41423 CL70A413 CL70A414 CL70A417 CL70A418"><span class="h3">II -- Educational Characteristics</span><br /><br />For all individuals 5 years of age and older.<br /></svar></p> <p><svar v="CL70A418" a="all">12. Literacy:<br /><br />Only for those who answered "none" or "primary" in question number 10.<br /><br />Are you able to read and write?<br />If "only" able to real or "only" able to write, mark "no."<br /><br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v="CL70A418" a="all"><span class="h3">Question No. 12--Literacy</span><br /><br />Any person able to read and write a simple paragraph in any language is considered literate.<br /><br />This question will only be asked of those who answered "none," "primary," or "basic" to question No. 10.<br /><br />If the person being enumerated only reads or only writes, you will mark box No. 2, that is, following the word "No".<br /></svar> Chile 1970: Persons age 5+ [discrepancies: none] This variable indicates whether the person is able to read and write. 1 Literate 2 Illiterate 9 NIU (not in universe) Education Variables -- PERSON Employment status <svar v="CL70A419 CL70A420 CL70A421 CL70A422 CL70A423 CL70A424 CL70A425 CL70A426"><span class="h3">III Economic Characteristics</span><br /><br />Only for those 12 years of age and older.<br /></svar></p> <p><svar v="CL70A419 CL70A420" a="all">13. Type of activity:<br /><br />What did you do during the greater part of the week of April 13th to the 18th?<br /><br /><div class="i1">[] 0 Worked?<br />[] 1 Did not work but had a job?<br />[] 2 Looked for work and had worked before?<br />[] 3 Looked for work for the first time?<br />[] 4 Retired or pensioner?<br />[] 5 Rentier?<br />[] 6 Student?<br />[] 7 Household duties?<br />[] 8 Other?<br />[] 9 Unknown?</div><br /></svar> <svar v="CL70A419" a="all"><span class="h3">Question No. 13--Type of Activity</span><br /><br />The purpose of this question is to determine what part of the population 12 years and older is "economically active," and, of that part, how many can be considered "employed" and how many "unemployed."<br /><br />The responses are exclusive, it being unacceptable to mark more than one response.<br /><br />Faced with this question, you will read each one of the alternatives that appear as a response, pausing between alternatives in order to permit the informant to precisely determine which of the responses describes their situation during the week of April 13 to 18.<br /><br />The questions: "Did you work?," "Did you not work but were employed?," etc. should be asked in the order that they appear on the census form.<br /><br /><span class="pg">[p. 37]</span><br /><br />You will mark only one of the alternatives, according to the following guidelines:<br /><br />0) Did you work? If the person performed compensated labor during the week of April 13 to 18 of a continuous nature equivalent to at least one day of work.<br /><br />1) Did you not work but were employed? Mark this box if the person didn't work during the week of April 13 to 18 but had a job or business and was temporarily absent because of vacation, sickness, or another reason.<br /><br />2) Did you look for work and had worked before? (Unemployed). You should mark this box in the case of people who didn't have a job during the week of April 13 to 18 because they withdrew from their job, because of being let go or for another reason, and who are waiting to be called again or are looking for a new job.<br /><br />3) Did you seek work for the first time? You will mark this box if the person has never had a compensated job and, during the week of April 13 to 18 they took steps to get a job.<br /><br />4) Retired or Pensioner? You will mark this box if the person didn't do any compensated activity during the week of April 13 to 18 but receives a retirement or dependent's pension in return for services previously rendered, by him or his relatives.<br /><br />5) Rentier? Is he who didn't do any compensated activity during the week of April 13 to 18, and lives off of the profits of his capital.<br /><br />6) Student? You will mark this box if the person being enumerated was attending school the majority of the time during the week of April 13 to 18.<br /><br />7) Household duties? You should mark this box if the person be enumerated dedicated him or herself to the care of the household the majority of the time during the week of April 13 to 18.<br /><br />8) Other? You should mark the box after the line "other" if the person being enumerated was not, during the week of April 13 to 18, in any of the situations previously listed: for example, disabled persons or shut-ins who don't work.<br /></svar> Chile 1970: Persons age 12+ [discrepancies: none] This variable indicates the employment status of an individual. 01 Work 02 Did not work but had a job 03 Looked for work having worked before 04 Looked for work for the first time 05 Retiree or pensioner 06 Rentier 07 Student 08 Household duties 09 Other 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Employment status (EAP) Chile 1970: Persons age 12+ [discrepancies: none] This variable indicates whether the person is part of the Economically Active Population (PEA). 1 Active 2 Inactive 3 Unknown 9 NIU (not in universe) Work Variables -- PERSON Occupation (3-digit) <svar v="CL70A419 CL70A420 CL70A421 CL70A422 CL70A423 CL70A424 CL70A425 CL70A426"><span class="h3">III Economic Characteristics</span><br /><br />Only for those 12 years of age and older.<br /></svar></p> <p><svar v="CL70A421 CL70A422 CL70A423" a="all">14. Principal occupation: For those who answered 0, 1 and 2 in question number 13.<br /><br />What occupation, position, profession or type of work did you engage in the week of April 13th to the 18th, or before in the case of an unemployed person?<br />(Examples: bricklayer, doctor, auto mechanic, tractor driver, etc.)<br /><br /><div class="i1">____ (Give maximum possible detail)</div><br /></svar> <svar v="CL70A421" a="all"><span class="h3">Question No. 14--Main Occupation</span><br /><br />What trade, profession, or type of work was performed the week of April 13 to 18, or before in the case of an unemployed person?<br /><br />You should ask this question only of people who worked or didn't work but were employed (boxes 0 and 1 from question 13) and of those who looked for work and had worked before (box 2 from question 13). The response should be noted in the space reserved for this purpose opposite the question.<br /><br /><span class="pg">[p. 38]</span><br /><br />If the person being enumerated reports having more than one occupation, you should record only their main occupation.<br /><br />"Main Occupation" means the one that provides the greatest income.<br /><br />In the case of a person who worked before but wasn't employed during the week of April 13 to 18 (unemployed), record the "last occupation."<br /><br />Avoid vague designations such as: assistant, machinist, office worker, seller, etc.<br /><br />Use designations that give the best possible idea of the person's occupation, for example: agricultural engineer, fruit vendor, taxi driver, typist etc.<br /></svar> Chile 1970: Persons age 12+ who either worked, did not work but had a job, or looked for a job between April 13 and 18 [discrepancies: none] This variable indicates a person's 3-digit occupation code. 000 Architects 001 Civil engineers 002 Engineers and highway administration 003 Electrical engineers 004 Mechanical engineers 005 Mining engineers 006 Industrial engineers 007 Chemical engineers 008 Engineers n. e. c. 009 Surveyors and topographers 010 Technical draftsmen 011 Civil builder 012 Non professional technicians with jobs relating to engineering, electricity, mechanics, metallurgy and industry (excluding craftsmen and related workers such as Electricians and Mechanics Included in Sections 7 and 8) 013 Chemists 014 Physicists and other specialists in related sciences, geophysicists, astronomers, geologists, meteorologists 015 Pharmacists 016 Laboratory biology technicians 017 Agronomists and botanical pathologists 018 Veterinarians 020 Experts in poultry farming 021 Experts in fish farming 023 Biologists and naturalists 024 Botanists 025 Agricultural practice 027 Doctors and surgeons 028 Dentist 030 Opticians 034 Diet regimen experts 035 Pedicurists, masseurs, and other paramedics n. e. c. 036 Professional nurses 037 Other nurses 038 Professional midwives 040 University rectors professors 041 Teachers of secondary, art and trade schools 042 Teachers of primary schools 043 Teachers of preschool education 044 Special education teachers 045 Other professors and teachers 046 Mathematicians 047 Actuaries 048 Statisticians 049 Economists 050 Sociologists, psychologists, anthropologists, historians, archaeologists and similar specialists 051 Other specialists in mathematical science n. e. c. 053 Lawyers 054 Magistrates and judges 055 Justices of the peace, notaries, persons responsible for public registries and persons in other legal occupations 056 Literary authors 057 Editors, journalists, correspondents, reporters, announcers, and other persons in related occupations 058 Painters, sculptors, engravers of burin, nitric acid, caricaturists, calligraphers and other artists in related occupations 059 Decorators, commercial drawers, interior decorators, showcase decorators, scenographers 060 Musical composers, singers, music professors, orchestra and choir directors, and persons in related occupations 061 Dance professors, dancers, dance directors and choreographers 062 Scene directors, actors, trainers (comedians, acrobatic comedians, magicians, illusionists, palmists and other persons in related occupations) 063 Theater, movie, radio and television producers 064 Other artists in related occupations n. e. c. 065 Priests and pastors 066 Other religious persons in related occupations 068 Translators and interpreters 069 Librarian, filer of public and historic documents 070 Social assistants and other persons in related occupations 071 Public relations person 073 Officials of deck ships and captains of maritime and river navigation 074 Machine operator of maritime and river navigation 076 Airplane pilots 077 Air mariners 078 Flight mechanics 100 Employees and inspectors of national government 101 Employees and inspectors of regional governments (state, providence or department) 102 Members of parliament 103 Employees and inspectors of municipal city and locality governments 110 Directors and managers of wholesale commerce 111 Directors and managers of retail commerce 120 Directors, managers of forestry products and the felling of trees 121 Directors and managers of mines and quarries 122 Construction contractor 123 Directors, financial managers, insurance, real estate 124 Directors, managers, transportation and storage 125 Directors, managers for communications and public services 126 Directors, managers of factories and general administrations 127 Directors, managers of businesses of hotel services, restaurants, cafes, boarding houses, guest houses 128 Rectors, managers, n. e. c. 200 Accountants 201 Licensed accountants 210 Accountant aides and clerks 211 Bookkeepers 212 Cashiers, payers 213 Account collectors 220 Typists and shorthand clerks 221 Teletypist 222 Operators of punch card and similar machines 223 Operators of copy, reproduction and mimeograph machines 230 Operators of computer machines 231 Operators of accounting machines and calculators 232 Operators of office machines n. e. c. 240 Inspectors, transit controllers and dispatchers 241 Heads of (train) stations 242 Communications inspectors, controllers and dispatchers 250 Mailmen to houses 251 Messengers 252 Correspondence classifiers (mail office) 260 Telephone operators 261 Telegraph and cablegraph operators 262 Operators of radiocommunication, radiotelegraph and radiotelephone equipment 270 Heads of trains 271 Passenger collectors on busses, streetcars and other means of transportation 280 Storage employees and office material providers 281 Receptionists of public information employees 282 Archivists 283 Transportation service employees 284 Banking and financial services employees 285 Library and archive employees 286 Employees who sell theater, show business and lottery tickets 287 Secretary 288 Other office workers and persons in related occupations n. e. c. 300 Vendors, store owners of wholesale commerce 301 Vendors, store owners of retail commerce 310 Vendors and salesclerks of shops 311 Newspaper vendors 312 Street vendors, order solicitors and demonstrators 320 Commerce traveling salesmen 321 Factory or commercial institution representatives 330 Insurance agents and brokers 331 Real estate agents and brokers 332 Agents and brokers of stocks, bonds and other titles 333 Auctioneers 334 Commission agent 335 Agents of customs, transportation, moving and tourism services 336 Publicity agents and advertising agents 337 Valuers 400 Agricultural owners, renters, sharecroppers and colonists for general agricultural cultivations and jobs 401 Cattle breeders and of other animals 402 Administrators of agricultural operations 403 Beekeeping and silk raising 404 Agricultural administrator 405 Agricultural foremen 410 Agricultural and livestock workers excluding members of the census household 411 Agricultural and livestock workers and non remunerated members of the census household 412 Operators of machines and agricultural vehicles and tractor drivers who work within an agricultural and livestock operation 413 Gardener, caretakers of lands for recreation and sports and winter workers, seeders 414 Other agricultural and livestock workers, cowboys, shepards and persons in related occupations 420 Fishermen and persons in occupations related with fishing farms and those who belong to fishing boat crews 421 Other persons in related occupations n. e. c. 430 Hunters and trappers 440 Lumber workers, trunk cutters and splitters, firewood collectors, sawmill workers 441 Persons working in the production of wood coal 442 Rubber harvesters and processors 443 Other persons in related occupations n. e. c. 500 Chauffeur and taxi drivers 501 Chauffeurs and automobile drivers excluding taxis 502 Truck drivers, drivers of small trucks, and dump truck drivers 503 Bus and streetcar drivers 504 Cart drivers and coachmen 505 Drivers who propel vehicles 506 Cargo animal drivers 507 Other motor vehicle drivers n. e. c. 510 Locomotive operators 511 Firemen on locomotives 520 Sailors 521 Launchers and boatmen 522 Machinists, firemen and greasers on ships 530 Control tower and traffic operators in airports 531 Operators in control of traffic in ports 532 Operators in control of traffic in train stations 533 Operators of dams and sluice gates 534 Brakemen and switchmen of trains 535 Other persons in related occupations n. e. c. 600 Fiber preparers 601 Carders and workers in related occupations 602 Spinners and winders who do not work in factories 603 Spinners and winders who work in factories 604 Weavers in factories 605 Weavers who do not work in factories 606 Adjustors and preparers of looms 607 Machine knitters 608 Hand knitters 609 Bleachers, dyers and finishers of textile products 610 Steam cleaners and pressers 611 Gummers, waterproofers and other workers in related occupations 612 Carpetmakers and other persons in the making of related products 613 Persons in occupations of the making of textile products and related occupations n. e. c. 614 Factory tailors 615 Tailors not in factories 616 Furriers 617 Couturiers 618 Seamstresses and embroiders 619 Hatmakers 620 Designers and clothes cutters 621 Tailor assistants 622 Glove makers 623 Tie makers 624 Upholsterers and workers in related occupations 625 Workers and day laborers in the manufacture of clothing and textile-based articles not in another category 626 Shoe makers and shoe repairers 627 Cutters, molders and other persons in the factory production of footwear 628 Saddlers, leatherworkers and other persons in related occupations 629 Other persons in occupations related to the making of leather articles excluding footwear, gloves and articles of clothing 630 Carpenters and assemblers 631 Cabinet maker 632 Saw operators, brushers and woodcutters in other lumber industry occupations 633 Workers and day laborers in occupations related to communications services 634 Bricklayers, stone masons and pavers 635 Plasterers and finishers in concrete and cement 636 Stucco workers and plasterers 637 Tilers and roofers 638 Glass installers 640 Painters in construction and maintenance 641 Wallpaper installers 642 Other painters and workers in related occupations 643 Pipe fitters, pipe adjusters, and plumbers 644 Riveters and fitters of metallic structures 645 Body shop workers, tinsmiths, boilermakers and other persons with jobs with metal sheets 646 Welder by hand, hoop, or welding torch 647 Metal workers and platers 648 Other persons in related occupations 649 Electricians and electric repairmen 650 Installers, inspectors and repairers of lines for telephones, telegraphs and electrical power 651 Electrical repairmen of radio and television receptors 652 Electrical repairmen of refrigerators and other appliances 653 Electricians for motor vehicles 654 Installers of electronic equipment 655 Other electricians and persons in related occupations 656 Mechanics and automobile, bus, truck and motorcycle repairmen 657 Bicycle repairmen 658 Mechanics and airship repairmen 659 Locomotive, railcar, streetcar, and rail coach mechanics and repairmen 660 Machinery mechanics and repairmen 661 Mechanics and repairmen of typewriters, calculators and registers 662 Locksmiths and gunsmiths 663 Operators of tool machines, lathes, millers, scrubbers, brushers, carvers, filers and sawyers of metals and other similar machines 664 Other craftsmen and operators in related occupations n. e. c. 665 Watchmakers 666 Optical mechanics 667 Dental prosthesis mechanics 668 Other mechanics of appliances and precision instruments 669 Mechanics, repairmen of photographic equipment 670 Jewelers and goldsmiths 671 Silversmiths 672 Engravers 673 Other artisans and operatives in similar occupations 674 Machine operators of fixed machinery and generator plates 675 Firemen 676 Operators of cranes, winches, and lifts 677 Operators of construction machinery 678 Operators of equipment of elevation and extraction 679 Other machine operators 680 Joiners and splicers of cables 681 Greasers and lubricators of machinery 683 Operators of equipment or appliances of radio and television broadcast 684 Undocumented 700 Typographers and print setters 701 Linotypists and monotype operators 702 Operators of printing presses 704 Printer workers 705 Photorecorders 706 Bookbinders 708 Lithographers 709 Other persons in occupations related to graphic arts n. e. c. 710 Miners in coal deposits 711 Miners in metal material deposits 712 Foremen of mining production (extraction and concentration) 713 Mineral drillers in deposits of metallic minerals and persons in auxiliary occupations 714 Drillers of minerals in deposits of coal and persons in auxiliary occupations 715 Drillers of minerals in deposits of solid non metallic minerals 716 Quarrymen 718 Drillers of petroleum wells, other well drillers and persons in related occupations 720 Persons in occupations of extraction of other solid non metallic minerals 721 Smelters in ovens 722 Molders 725 Blacksmiths, forgers and hammerers 726 Flatteners, sharpeners and stretchers of metals 727 Galvanizers and operators in electroplastia 728 Other operators in the metallic industry n. e. c. 729 Foremen in industrial lumber (refining, sulfur recovery of purification and conservation) 730 Potters and ceramic makers 731 Glass blowers, emptier, welders, and polishers 732 Painters decorators of glass and ceramics 733 Craftsmen and operators in the making of clay, cement and similar products 734 Other craftsmen and operators in the glass industry 735 Craftsmen and operators in occupations related to carving, sharpening, engraving and other jobs in stone, marble or granite 736 Other craftsmen in related occupations n. e. c. 740 Operators in occupations related to the making and finishing of paper 741 Operators of ovens and heaters, toasters and other workers related to the treatment of chemical and similar products 742 Distillers and other operators or distillation appliances 744 Operators in occupations related to the refining and derivatives of petroleum 745 Grinders, crushers and operators in chemical processes 746 Spinners and other operators in synthetic sewing factories 747 Operators in occupations related to the making of wood pulp 748 Operator in the making of powder compact 749 Other operators in similar occupations n. e. c. 750 Slaughtermen 751 Butchers 752 Operators in the preparation of meats in slaughterhouses and refrigerators 753 Millers and mill operators 754 Bread and pastry makers 755 Operators in the making of candies, chocolates, sweets and similar products 756 Operators in occupations related to the making of butter, cheese, ice cream and other dairy products 757 Operators in occupations related to the production of sugar 758 Operators in occupations related to the preparation and conservation of foods, such as dehydrated food products, salters, meat smokers of cans, sauces and condiments 759 Pickers, mixers and toasters of coffee, cocoa and tea 761 Operators in the making of wine, beer and non alcoholic drinks 762 Pickers, mixers and other operators in the production of tobacco 763 Cigar makers (manual production of cigars and cigarettes) 764 Operators in the manufacturing of tobacco products 765 Other operators in related occupations n. e. c. 770 Meat trimmers peelers, tanners and other operators in related occupations 771 Dyers and other operators in the finishing of skins and furs 772 Other operators in similar occupations n. e. c. 780 Operators in the making of paper bags and sacks 790 Operators in occupations related to the making of machinery 791 Operators in occupations related to the making of electric equipment 792 Operators in occupations related to the making of transportation equipment 793 Operators in occupations related to the process of making or repairing musical instruments 794 Operators in occupations related to the process of making articles of wicker, jute, raffia, pita or other vegetable fibers and from sow or horsehair 795 Operators in occupations related to the process of making rubber articles or plastic material 796 Operators in occupations related to the process of making photographic stencil papers, sand paper, tar and asphalt sheeting 797 Operators in the making of candles 798 Operators in the making of matches 799 Other operators in occupations related to the manufacturing industry n. e. c. 800 Workers and day laborers in coal deposits 801 Workers and day laborers in metallic mineral deposits 802 Workers and day laborers in quarries 803 Workers and day laborers in deposits of other minerals 804 Workers and day laborers in oil wells 806 Other workers and day laborers in the operation of mines and quarries 810 Workers and day laborers in occupations related to the manufacture of food products 811 Workers and day laborers in occupations related to textile manufacture 812 Workers and day laborers in occupations related to the manufacture footwear and the clothing industry 813 Workers and day laborers in occupations related to the manufacture of paper and paper products 814 Workers and day laborers in occupations related to furniture manufacture 815 Workers and day laborers in occupations related to the manufacture of rubber products and chemical substances 816 Workers and day laborers in occupations related to basic metal industries and the manufacture of metallic products 817 Workers and day laborers in occupations related to the construction of general machinery and transportation material 818 Workers and day laborers in occupations related to diverse manufacturing industries not in another category 820 Chainers, ranging rod persons, stake preparers, other topography helpers and workers in related occupations 821 Workers and day laborers in occupations related to the construction and maintaining of buildings, bridges, roads, tunnels, dams and other special works 822 Other workers and day laborers in occupations related to the construction industry not in another category 830 Workers and day laborers in occupations related to the production and distribution of gas 831 Workers and day laborers in occupations related to the service of light and electrical energy 832 Workers and day laborers in occupations related to the supply of water and sanitary services 833 Other craftsmen and lumber workers like those who mage clogs, chests, frames, boxes and other articles and wooden household furniture 840 Stevedores, loaders and cargo loaders on piers 841 Loaders and cargo loaders in factories 842 Workers and day laborers in transportation 843 Workers and day laborers in occupations related to storage 844 Workers and day laborers in occupations related to the packaging of manufactured products, including beverages 845 Packers, labelers, wrappers in factories (packers) 850 Workers and day laborers not in another category commerce 851 Workers and day laborers not in another category; automobile services in repair shops, provisioning, lubrication and parking stations, etc 852 Workers and day laborers not in another category recreational services 853 Workers and day laborers not in another category services to other businesses 854 Workers and day laborers not in another category in public services 884 Operators of sound and projection equipment for movies 900 Paid fireman 901 Police and detectives 902 Other government workers who watch for the compliance of the law 903 Guards, store detectives, and similar workers 910 Butlers, household managers and similar workers 911 Housekeepers 920 Domestic service cooks 921 Domestic service servants 922 Nannies, wet nurses and similar workers 923 Persons who prepare and serve food in the street 930 Cooks 931 Waiters in restaurants and cafes 932 Bartenders 933 Airline stewardesses 934 Housekeeping servants and servants in hotels, ships and trains 935 Hotel administrators (Pensions) 940 Launderers and pressers in laundry establishments 941 Drycleaners in laundry establishments 942 Other workers in laundry establishments 950 Similar launderers and pressers 951 Launderer, presser for their own account 960 Porters, superintendents, guards and night watchmen 961 Elevator operators 962 Domestic servants, cleaners and workers in related occupations 963 Shoeshiners and other workers in related occupations n. e. c. 970 Hairdressers and barbers 971 Beauty stylists, hair stylists, manicurists and make up artists 980 Athletes and sportspersons 981 Sports officials, trainers and physical culture professors 990 Photographers 991 Film camera operators for movies and television 992 Embalmers 994 Guides 995 Other workers in services n. e. c. 997 Persons who declare not identifiable occupations and other workers 999 NIU (not in universe) Work: Occupation Variables -- PERSON Occupation (2-digit) <svar v="CL70A419 CL70A420 CL70A421 CL70A422 CL70A423 CL70A424 CL70A425 CL70A426"><span class="h3">III Economic Characteristics</span><br /><br />Only for those 12 years of age and older.<br /></svar></p> <p><svar v="CL70A421 CL70A422 CL70A423" a="all">14. Principal occupation: For those who answered 0, 1 and 2 in question number 13.<br /><br />What occupation, position, profession or type of work did you engage in the week of April 13th to the 18th, or before in the case of an unemployed person?<br />(Examples: bricklayer, doctor, auto mechanic, tractor driver, etc.)<br /><br /><div class="i1">____ (Give maximum possible detail)</div><br /></svar> Chile 1970: Persons age 12+ who either worked, did not work but had a job, or looked for a job between April 13 and 18 [discrepancies: none] This variable indicates a person's 2-digit occupation code. 01 Architects, engineers and similar occupations 02 Chemists, Physicists, Pharmacists and similar occupations 03 Agronomists, Veterinarians, Biologists, Naturalists and similar occupations 04 Physicians, surgeons and dentists 05 Paramedics and similar occupations 06 Nurses and midwives 07 Professors and teachers 08 Specialists in mathematical, economic, social sciences and the like 09 Lawyers, judges and similar occupations 10 Artists, writers, amusers and similar occupations 11 Clergy people and similar occupations 12 People in occupations similar to professionals 13 Officers, pilots and machine officers in water navigation 14 Pilots, flight mechanics and air navigators 15 Directives in public administration 16 Directors and managers in retail and wholesale trade 17 Other directors, professionals and administrators 18 Accountants and expert accountants 19 Bookkeepers, cashiers 20 Typists and stenographers 21 Operators of other office machines and equipment n.e.c. 22 Inspectors, clearers and comptrollers in transportation and communications 23 Mailmen, messengers and similar occupations 24 Telephone operators, telegraphists, and other telecommunications operators 25 Other clerks and similar occupations in transportation services 26 Other clerks and similar occupations 27 Proprietor salespeople in wholesale and retail 28 Store clerks and peddlers 29 Wholesale travel salespeople and representatives 30 Other salespeople and similar occupations 31 Farmers (owners and managers) 32 Farm laborers, gardeners and other agricultural workers 33 Fishermen and related occupations 34 Hunters, "tramperos" and similar occupations 35 Lumbermen, woodchoppers and similar occupations 36 Chauffeurs, highway drivers and similar vehicle drivers 37 Train conductors and locomotive firemen 38 Sailors and small boat operators 39 Traffic equipment operators, brakemen and switchmen 40 Spinners, weavers, dry cleaners and similar occupations 41 Tailors, couturiers, furriers and people in the fabric and fur/leather confection trade 42 Shoemakers, repairers, saddlers and similar occupations 43 Carpenters, cabinetmakers, coopers and related occupations 44 Builders, bricklayers, window setter and related occupations 45 Painters and paperhangers 46 Plumbers, tinsmiths, coppersmiths and steel metal workers 47 Electricians, electrical cable setters, radio and TV repairmen 48 Mechanics, machinery, vehicle and tool repairers, and similar occupations 49 Precision device mechanics, watchmakers and similar occupations 50 Jewelers and silversmiths 51 Fixed motor, excavation and people elevation device operators, and similar occupations 52 Radio, TV, sound, and cinema projection equipment operators 53 Typographists, litographists, typesetters, press operators, engravers, bookbinders, film developers, and similar occupations 54 Miners, quarrymen and similar occupations 55 Smeltmen, rolling millers, blacksmiths, and related occupations 56 Potters, casters, glass blowers, and similar occupations 57 Operators of ovens and heaters, toasters, distillers, and other chemical industry operatives 58 Slaughters, butchers, bakers, millers, beer brewers, and similar occupations 59 cigar makers and other operatives in the tobacco industry 60 Emanciaters, peelers, tanners and other operatives in the preparation of furs and skins 61 Operatives in the production of paper goods 62 Operatives in the production of machinery, electrical equipment and transportation equipment 63 Operative in the production process and similar occupations n.e.c. 64 Workers and day laborers in mines and quarries 65 Workers and day laborers in the manufacturing industry 66 Workers and day laborers in the construction industry 67 Workers and day laborers in electricity, gas, water, sanitary services and communications 68 Workers and day laborers in transportation and storage 69 Other workers and day laborers n.e.c. 70 Workers in protection services 71 Butlers, housekeepers and kindred occupations 72 Cooks, maids and domestic service workers 73 Cooks, restaurant and café waiters, bartenders and kindred occupations 74 Launderers, pressers, dry cleaners and kindred day laborers in cleaning shops 75 Other launderers and pressers 76 Porters, janitors, elevator operators and kindred occupations 77 Barbers, hair dressers, beauty parlor workers and kindred occupations 78 Athletes, Sportspersons and similar occupations 79 Photographers and workers with similar occupations 80 Other workers in services n. e. c. 82 Persons who declare not identifiable occupations and other workers n.e.c. 99 NIU (not in universe) Work: Occupation Variables -- PERSON Occupation (1-digit) <svar v="CL70A419 CL70A420 CL70A421 CL70A422 CL70A423 CL70A424 CL70A425 CL70A426"><span class="h3">III Economic Characteristics</span><br /><br />Only for those 12 years of age and older.<br /></svar></p> <p><svar v="CL70A421 CL70A422 CL70A423" a="all">14. Principal occupation: For those who answered 0, 1 and 2 in question number 13.<br /><br />What occupation, position, profession or type of work did you engage in the week of April 13th to the 18th, or before in the case of an unemployed person?<br />(Examples: bricklayer, doctor, auto mechanic, tractor driver, etc.)<br /><br /><div class="i1">____ (Give maximum possible detail)</div><br /></svar> Chile 1970: Persons age 12+ who either worked, did not work but had a job, or looked for a job between April 13 and 18 [discrepancies: none] This variable indicates a person's 1-digit occupation code. 01 Professionals, technicians, etc 02 Managers, administrators and civil servants 03 Clerical and office workers 04 Salesmen 05 Farmers 06 Drivers 07 Craftsmen and industrial workers 08 Other artisans/machinists 09 Manual laborers and day laborers NEAC 10 Personal service workers 98 Non-identified activities 99 NIU (not in universe) Work: Occupation Variables -- PERSON Class of worker <svar v="CL70A419 CL70A420 CL70A421 CL70A422 CL70A423 CL70A424 CL70A425 CL70A426"><span class="h3">III Economic Characteristics</span><br /><br />Only for those 12 years of age and older.<br /></svar></p> <p><svar v="CL70A424" a="all">15. Occupational category:<br /><br />For those who answered 0, 1 and 2 in question number 13.<br /><br />What position did you have in the occupation or job indicated above?<br /><br /><div class="i1">[] 1 Employer or owner<br />[] 2 Own-account worker<br />[] 3 Employee (professional or white-collar)<br />[] 4 Manual laborer or day laborer<br />[] 5 Domestic employee<br />[] 6 Unpaid family worker<br />[] 7 Unknown</div><br /></svar> <svar v="CL70A424" a="all"><span class="h3">Question No. 15--Occupational Category</span><br /><br />This question will only be asked of those people who responded with boxes 0, 1, and 2 to question 13.<br /><br />You will mark one of the following alternatives, as appropriate:<br /><br />1) Employer or boss: If the person being enumerated ran their own business, or practiced a profession or trade on their own and had one or more wage-earning or salaried employees or manual laborers during the week of April 13 to 18.<br /><br />2) Own-account worker: If the person ran their own company or practiced a profession or trade on their own, but did not have any wage-earning or salaried employees or manual laborers during the week of April 13 to 18.<br /><br />3) Employee: A person who works for an employer or boss and makes their tax contributions [<span class="lang">imposiciones</span>] to an Employees' Social Security Fund [<span class="lang">Caja de Previsión de Empleados</span>], as for example the Private Employees' Fund, the Public Employees Fund, etc.<br /><br />4) Manual Laborer or Day-Laborer: A person who works for an employer and contributes to the Social Security Service or another Manual Laborer Social Security Fund.<br /><br />If the person doesn't make contributions or doesn't know which fund they contribute to, the person should be classified as an employee or manual laborer based on whether intellectual or physical effort, respectively, prevail in their work.<br /><br />5) Domestic Worker: If the person worked for an employer or boss and worked at activities related to household service during the week of April 13 to 18 and received compensation in the form of a salary.<br /><br /><span class="pg">[p. 39]</span><br /><br />6) Unpaid family member: If the person worked, during the week of April 13 to 18, without compensation in a business run by a relative, for at least a third of the normal work week.<br /><br />For those who worked previously but were unemployed during the week of April 13 to 18, record the category (employee, manual laborer, etc.) that they had in their last occupation.<br /></svar> Chile 1970: Persons age 12+ who either worked, did not work but had a job, or looked for a job between April 13 and 18 [discrepancies: none] This variable indicates a person's occupational category (employer, owner, own account worker, manual worker, etc.) 1 Employer or owner 2 Own-account worker 3 White-collar or office employee 4 Manual laborer 5 Domestic employee 6 Unpaid family worker 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Industry (4-digit) <svar v="CL70A419 CL70A420 CL70A421 CL70A422 CL70A423 CL70A424 CL70A425 CL70A426"><span class="h3">III Economic Characteristics</span><br /><br />Only for those 12 years of age and older.<br /></svar></p> <p><svar v="CL70A425 CL70A426" a="all">16. Industry:<br /><br /> For those who answered 0, 1 and 2 in question number 13.<br /><br />What does the establishment, industry, factory, workshop, service, etc. where you work or worked before do?<br />(Examples: poultry farm, gasoline pumping station, etc.)<br /><br /><div class="i1">____ (Give maximum possible detail)</div><br /></svar> Chile 1970: Persons age 12+ who either worked, did not work but had a job, or looked for a job between April 13 and 18 [discrepancies: none] This variable indicates a person's four-digit industry code. 0000 Activities not well specified 1110 Agricultural and livestock production 1120 Agricultural services 1130 Regular hunting with traps or repopulation of animals 1210 Forestry 1220 Extraction of lumber 1301 Deep sea and coastal fishing industry 1302 Fishing industry n. e. p. 2100 Coal mining operations 2200 Production of crude petroleum and natural gas 2301 Extraction of iron minerals 2302 Extraction of non ferrous mineral 2901 Extraction of stone, clay and sand 2902 Extraction of minerals for making fertilizer 2903 Salt mine operations 2909 Extraction of minerals n. e. c. 3110 Unknown within food, beverage, and tobacco products 3111 Slaughter of livestock and preparation and conservation of meat 3112 Making of lactate products 3113 Packaging and conservation of fruits and vegetables 3114 Production of seafood, shellfish and other maritime products 3115 Making of vegetable and animal oils and fats 3116 Mill products 3117 Making of bakery products 3118 Sugar refineries 3119 Making of cocoa, chocolate and pastry products, making of textiles n. e. c. 3121 Production of diverse food products 3122 Production of food prepared for animals 3131 Distilling, purifying and mixing of spirits 3132 Wine industries 3133 Malted and malt drinks 3134 Non alcoholic drinks and carbonated water industries 3140 Tobacco industry 3211 Spinning, weaving and finishing textiles 3212 Articles made from textiles, except garments 3213 Textile factories 3214 Making of tapestries and rugs 3215 Rigging 3219 Manufacturing of textile, n.e.c. 3220 Making of articles of clothing, excluding footwear 3231 Tanning and finishing workshops 3232 Industry of the preparation and dying of furs 3233 Making of leather products and leather substitutes 3240 Making of footwear, excluding vulcanized rubber 3311 Sawyers, workshops with planning machinery and other workshops for the lumber working 3312 Making of packaging of wood and cane and articles 3319 Making of wood and cork products n. e. c. 3320 Making of furniture and appliances, excluding those that are 3411 Making of pulp for wood, paper and cardboard 3412 Making of packages and boxes of paper and cardboard n. e. c. 3419 Making of articles of pulp, paper and cardboard n. e. c. 3420 Printers, publishing houses and related industries 3511 Making of basic industrial chemical substances, excluding 3512 Making of fertilizer and pesticides 3513 Making of resin, synthetics, plastic materials and fibers 3521 Making of varnish paints and lacquers 3522 Making of pharmaceutical products and medicine 3523 Making of soaps and cleaning products, perfumes 3529 Making of chemical products, n. e. c. 3530 Petroleum refineries 3540 Making of diverse products derived from petroleum and coal 3550 Unknown within manufacturing of rubber products 3551 Rim and camera industries 3559 Making of rubber products n. e. c. 3560 Making of plastic products, n. e. c. 3610 Making of objects from mud, China and porcelain objects 3620 Making of glass and glassware 3691 Making of clay products for construction 3692 Making of cement, lime and plaster 3699 Making of non metallic mineral products n. e. c. 3710 Basic iron and steel industries 3720 Basic non-ferrous metal industries 3811 Making of manual cutlery, tools and articles 3812 Making of furniture and principally metallic accessories 3813 Making of metallic structural products 3819 Making of metallic products, n. e. c. excluding 3821 Construction of motors and turbines 3822 Construction of machinery and equipment for agriculture 3823 Construction of machinery for metal work and "azadera" 3824 Construction of machinery and special equipment for industries 3825 Construction of machinery for offices, calculating and accounting 3829 Construction of machinery and equipment, n. e. c. excluding 3831 Construction of industrial electric machines and appliances 3832 Construction of radio and television equipment and appliances 3833 Construction of electrical appliances and accessories for domestic use 3839 Construction of electric appliances and supplies 3841 Naval constructions and ship repairing 3842 Construction of railroad equipment 3843 Making of automobiles 3844 Making of motorcycles and bicycles 3845 Making of airplanes 3849 Construction of transportation material, n. e. c. 3851 Making of professional and scientific equipment and instruments 3852 Making of photographic appliances and optical instruments 3853 Making of watches 3901 Making of jewelry and related articles 3902 Making of musical instruments 3903 Making of sport and athletic articles 3909 Manufacturing industries, n. e. c. 4101 Light and electrical energy 4102 Production and distribution of gas 4103 Supply of steam and hot water 4200 Hydraulic works and water supply 5000 Construction 6100 Wholesale commerce 6200 Retail commerce 6310 Restaurants, cafes and other establishments that sell food and drinks 6320 Hotels, guest houses, campgrounds and other places 7111 Railroad transportation 7112 Urban, suburban and interurban transportation of passengers by highway 7113 Other land transportation services for passengers 7114 Transportation of cargo by highway 7115 Transportation of oil and gas pipes 7116 Services related to land transportation 7121 Ocean and ferry transportation 7122 Transportation by means of interior navigation 7123 Services related to transportation by water 7131 Air transportation businesses 7132 Services related to air transportation 7191 Services related to transportation 7192 Warehouse and storage 7200 Communications 8101 Monetary institutions 8102 Financial establishments 8103 Financial services 8200 Insurance 8310 Real estate 8321 Legal services 8322 Accounting, auditing and bookkeeping services 8323 Production of data and tabulation services 8324 Technical and architect services 8325 Publicity services 8329 Services loaned to businesses, n. e. c. excluding rent 8330 Renting and leasing of machinery and equipment 9100 Public administration and defense 9200 Sanitary and similar services 9310 Public instruction 9320 Research and scientific institutes 9331 Medical services and dental surgeons and other health services 9332 Veterinary services 9340 Social assistance institutions 9350 Commercial, professional and work associations 9390 Unknown within other social and communal services 9391 Religious organizations 9399 Social services and related communal services 9411 Production of movies 9412 Distribution of movies 9413 Radio and television broadcasts 9414 Theater productions and recreational services 9415 Authors, composers and other independent artists n. e. c. 9420 Libraries, museums, botanical and zoological gardens and other services 9490 Leisure and recreational services n. e. c. 9511 Repairing shoewear and other leather articles 9512 Electric repair workshops 9513 Repairing of automobiles and motorcycles 9514 Repairing of watches and jewelry 9519 Other repairing services n. e. c. 9520 Laundry and laundry services, establishments of 9530 Domestic services 9591 Hair dressers and beauty salons 9592 Photographic studios including commercial photography 9599 Personal services, n. e. c. 9600 International organizations and other extraterritorial organisms 9998 Unknown 9999 NIU (not in universe) Work: Industry Variables -- PERSON Industry (1-digit) <svar v="CL70A419 CL70A420 CL70A421 CL70A422 CL70A423 CL70A424 CL70A425 CL70A426"><span class="h3">III Economic Characteristics</span><br /><br />Only for those 12 years of age and older.<br /></svar></p> <p><svar v="CL70A425 CL70A426" a="all">16. Industry:<br /><br /> For those who answered 0, 1 and 2 in question number 13.<br /><br />What does the establishment, industry, factory, workshop, service, etc. where you work or worked before do?<br />(Examples: poultry farm, gasoline pumping station, etc.)<br /><br /><div class="i1">____ (Give maximum possible detail)</div><br /></svar> <svar v="CL70A426" a="all"><span class="h3">Question No. 16--Industry</span><br /><br />As was the case with questions 14 and 15, this question should be asked only of those who responded with boxes 0, 1, and 2 on question 13.<br /><br />Record the industry of the establishment where the person worked during the period of reference (April 13 to 18). Example: poultry farm, mining, construction, Ministry of Education, cotton fabric factory, cement factory, etc. Avoid vague terms like: farm, factory, office, etc.<br /><br />For those people who were unemployed during the reference week but who had worked previously, record the industry of the establishment where they last worked.<br /></svar> Chile 1970: Persons age 12+ who either worked, did not work but had a job, or looked for a job between April 13 and 18 [discrepancies: none] This variable indicates a person's one-digit industry code. 00 Activities not clearly specified 01 Agriculture, hunting, forestry and fishing 02 Mining and quarrying 03 Manufacturing industries 04 Electricity, gas and water 05 Construction industry 06 Wholesale and Retail sales and hotels 07 Transportation, storage and communications 08 Financial services, insurance 09 Community, social and personal services 99 NIU (not in universe) Work: Industry Variables -- PERSON Municipality or country of birth <svar v="CL70A427 CL70A433" a="all">7. Place of birth:<br /><br />Where were you born?<br />If born in this same municipality, write "here;" otherwise, write the municipality or place and the province or country where born.<br /><br /><div class="i1">[] 1 Here<br /><br />____ Municipality or place<br /><br />____ Province or country</div><br /></svar> <svar v="CL70A427 CL70A433" a="all"><span class="h3">Question No. 7--Place of Birth</span><br /><br />For this question, you should obtain the municipality or country where the person being enumerated was born.<br /><br />If the person reports being born in the same municipality in which the enumeration takes place, mark the box following the word "here" and continue with question No. 8.<br /><br /><span class="pg">[p. 35]</span><br /><br />If the person was born in another municipality, write down the name of that municipality and the province to which it belongs.<br /><br />If the person was born abroad, record only the name of the country of birth.<br /></svar> Chile 1970: All persons This variable indicates a person's place of birth. 001 Here 002 Aríca 003 General Lagos 004 Putre 005 Belén 006 Codpa 007 Pisagua 008 Negreiros 009 Iquique 010 Huara 011 Pozo Almonte 012 Pica 013 Lagunas 025 Tocopilla 026 Toco 027 Calama 028 Antofagasta 029 Mejillones 030 Sierra Gorda 031 Aguas Blancas 032 Taltal 033 Catalina 050 Chañaral 051 Copiapó 052 Caldera 053 Tierra Amarilla 054 Vallener 055 Freirina 056 Huasco 075 La Serena 076 La Higuera 077 Vicuña 078 Paihuano 079 Coquimbo 080 Andacollo 081 Ovalle 082 Samo Alto 083 Monte Patria 084 Punitaqui 085 Combarbalá 086 Illapel 087 Salamanca 088 Los Vilos 089 Mincha 100 La Ligua 101 Petorca 102 Cabildo 103 Zapallar 104 Papudo 105 San Felipe 106 Panquehue 107 Catemu 108 Putaendo 109 Santa María 110 Los Andes 111 Calle Larga 112 San Esteban 113 Rinconada 125 Quillota 126 La Cruz 127 Nogales 128 Hijuelas 129 Calera 130 Llay-Llay 131 Quintero 132 Puchuncaví 133 Valparaíso 134 Víña del Mar 135 Limache 136 Villa Alemana 137 Quilpué 138 Casablanca 139 El Quísico 140 Algarrobo 141 Olmué 142 Isla de Pascua 150 Santiago 151 Quinta Normal 152 Providencia 153 Ñuñoa 154 Maipú 155 Barrancas 156 Renca 157 Quilicura 158 Lampa 159 Curacaví 160 Tíltil 161 Colina 162 Conchalí 163 Las Condes 164 La Reina 165 La Florida 166 San Miguel 167 La Cisterna 168 La Granja 169 Puente Alto 170 San José de Maipo 171 Pirque 172 Talagante 173 Peñaflor 174 Isla de Maipo 175 Melipilla 176 María Pinto 177 El Monte 178 Alhué 179 San Pedro 180 San Antonio 181 Santo Domingo 182 Cartagena 183 El Tabo 184 Navidad 185 San Bernardo 186 Calera de Tango 187 Buin 188 Paine 200 Rancagua 201 Graneros 202 Mostazal 203 Machalí 204 Doñihue 205 Coltauco 206 Codegue 207 Peumo 208 Las Cabras 209 San Vicente 210 Pichidegua 211 Rengo 212 Requinos 213 Malloa 214 Quinta de Tilcoco 215 Coinco 216 Olivar 225 Santa Cruz 226 Lolol 227 Palmilla 228 Peralíllo 229 Marchigue 230 Rosario 231 Pichilemu 232 Pumanque 233 Chéptes 234 Paredones 235 La Estrella 236 San Fernando 237 Chimbarongo 238 Nancagua 239 Placilla 250 Curicó 251 Romeral 252 Teno 253 Rauco 254 Licantén 255 Vichuquén 256 Hualañé 275 Curepto 276 Molino 277 Segrada Familia 278 Talca 279 San Clemente 280 Pelarco 281 Río Claro 282 Pencahue 283 Maule 300 Constitución 301 Empedrado 302 Chanco 303 Cauquenes 325 San Javier 326 Villa Alegre 327 Linares 328 Yerbas Buenas 329 Colbún 330 Longaví 331 Parral 332 Retiro 350 Quirihue 351 Nínhue 352 Portezuelo 353 Cobquecura 354 San Carlos 355 Ñiquén 356 San Fabián 357 San Nícolás 358 Chillán 359 Pinto 360 Coihueco 361 Bulnes 362 San Ignacio 363 Quillón 364 Yungay 365 Pemuco 366 El Carmen 367 Tucapel 375 Tomé 376 Coelemu 377 Ránquil 378 Talcahuano 379 Concepción 380 Penco 381 Hualqui 382 Florida 383 Coronel 384 Lota 385 Santa Juana 386 Yumbel 387 C obrero 388 San Rosendo 400 Arauco 401 Curanilahue 402 Lebu 403 Los Alamos 404 Cañete 405 Contulmo 425 Los Angeles 426 Santa Bárbara 427 Laja 428 Quilleco 429 Nacimiento 430 Negrete 431 Mulchén 432 Quilaco 450 Angol 451 Purén 452 Los Sauces 453 Renaico 454 Colipulli 455 Ercilla 456 Traiguén 457 Lumaco 458 Victoria 459 Curacautín 460 Lonquimay 475 Lautaro 476 Perquenco 477 Galvarino 478 Nueva Imperial 479 Carahue 480 Saavedra 481 Temuco 482 Vilcún 483 Freire 484 Cunco 485 Pitrufquén 486 Gorbea 487 Toltén 488 Loncoche 489 Villarrica 490 Pucón 500 Valdivia 501 Mariquina 502 Lanco 503 Los Lagos 504 Futrono 505 Corral 506 Máfil 507 Panguipullí 508 La Uníón 509 Paillaco 510 Río Bueno 511 Lago Ranco 525 Osorno 526 San Pablo 527 Puerto Octay 528 Río Negro 529 Purranque 550 Puerto Varas 551 Frutíllar 552 Fresia 553 Llanquihue 554 Maullín 555 Los Muermos 556 Puerto Montt 557 Cochamó 558 Calbuco 575 Ancud 576 Quemchi 577 Dalcahue 578 Castro 579 Chonchi 580 Queilén 581 Quellón 582 Puqueldón 583 Achao 584 Curaco de Vélez 585 Chaítén 586 Futaleufú 587 Palena 588 Corcovado 600 Aysén 601 Cisnes 602 Coyhaique 603 Río Ibáñez 604 General Carrera 605 Baker 625 Natales 626 Cerro Castillo 627 Magallanes 628 Río Verde 629 Morro Chico 630 San Gregorio 631 La Antártica 632 Porvenir 633 Primavera 634 Bahía Inútil 635 Navarino 650 Unknown 700 Canada 701 United States 702 Greenland 703 Mexico 704 Saint Pierre and Miquelon 720 Costa Rica 721 Cuba 722 El Salvador 723 Guatemala 724 Haiti 725 Honduras 726 British Honduras 727 Nicaragua 728 Panama 729 Puerto Rico 730 Dominican Republic 731 Panama Canal Zone 732 Other countries in Central America 750 Argentina 751 Bolivia 752 Brazil 753 Colombia 754 Ecuador 755 Guyana 756 Paraguay 757 Peru 758 Uruguay 759 Venezuela 760 Other countries in South America 770 Albania 771 West Germany 772 East Germany 773 Austria 774 Belgium 775 Bulgaria 776 Checkoslovakia 777 Denmark 778 Scotland 779 Spain 780 Finland 781 France 782 Greece 783 Holland 784 Hungary 785 England 786 Ireland 787 Iceland 788 Italy 789 Malta 790 Norway 791 Poland 792 Portugal 793 Romania 794 Sweden 795 Switzerland 796 Yugoslavia 797 Other countries in Europe 800 Saudi Arabia 801 China (Continental) 802 China-Taiwan (Formosa) 803 Cyprus 804 India 805 Indonesia 806 Iran 807 Israel 808 Japan 809 Jordan 810 Lebanon 811 Pakistan 812 Russia 813 Turkey 814 Other countries in Asia 830 Algeria 831 Ethiopia 832 Morocco 833 Arab Republic of Egypt 834 Tunisia 835 Other countries in Africa 850 Australia 851 Other countries in Oceania Nativity and Birthplace Variables -- PERSON Municipality or country of usual residence <svar v="CL70A428 CL70A431 CL70A432 CL70A434" a="all">8. Current habitual residence:<br /><br />In what municipality do you habitually live?<br />If living in this same municipality, write "here;" otherwise write the municipality or place and the province or country of residence.<br /><br /><div class="i1">[] 1 Here<br /><br />____ Municipality or place<br /><br />____ Province or country</div><br /></svar> <svar v="CL70A428 CL70A431 CL70A432 CL70A434" a="all"><span class="h3">Question No. 8--Current Habitual Residence</span><br /><br />Place of habitual residence means the place in which the person is established because of work, business, family life, etc. for a period of six months or more, even though the person may have no intention of settling in that place, or for a lesser period if the person has come with the intention of settling in that place.<br /><br />If the person being enumerated has their habitual residence in the same municipality where the enumeration is taking place, mark the box after the word "here" and continue on to question No. 9.<br /><br />If the person has their habitual residence in another place, you should record the name of the municipality or place where the person being enumerated habitually resides and the province to which that municipality or place belongs.<br /><br />If the person being enumerated maintains their residence abroad, record only the country where the person habitually resides.<br /></svar> Chile 1970: All persons This variable indicates a person's habitual residence. 001 Here 002 Aríca 003 General Lagos 004 Putre 005 Belén 006 Codpa 007 Pisagua 008 Negreiros 009 Iquique 010 Huara 011 Pozo Almonte 012 Pica 013 Lagunas 025 Tocopilla 026 Toco 027 Calama 028 Antofagasta 029 Mejillones 030 Sierra Gorda 031 Aguas Blancas 032 Taltal 033 Catalina 050 Chañaral 051 Copiapó 052 Caldera 053 Tierra Amarilla 054 Vallener 055 Freirina 056 Huasco 075 La Serena 076 La Higuera 077 Vicuña 078 Paihuano 079 Coquimbo 080 Andacollo 081 Ovalle 082 Samo Alto 083 Monte Patria 084 Punitaqui 085 Combarbalá 086 Illapel 087 Salamanca 088 Los Vilos 089 Mincha 100 La Ligua 101 Petorca 102 Cabildo 103 Zapallar 104 Papudo 105 San Felipe 106 Panquehue 107 Catemu 108 Putaendo 109 Santa María 110 Los Andes 111 Calle Larga 112 San Esteban 113 Rinconada 125 Quillota 126 La Cruz 127 Nogales 128 Hijuelas 129 Calera 130 Llay-Llay 131 Quintero 132 Puchuncaví 133 Valparaíso 134 Víña del Mar 135 Limache 136 Villa Alemana 137 Quilpué 138 Casablanca 139 El Quísico 140 Algarrobo 141 Olmué 142 Isla de Pascua 150 Santiago 151 Quinta Normal 152 Providencia 153 Ñuñoa 154 Maipú 155 Barrancas 156 Renca 157 Quilicura 158 Lampa 159 Curacaví 160 Tíltil 161 Colina 162 Conchalí 163 Las Condes 164 La Reina 165 La Florida 166 San Miguel 167 La Cisterna 168 La Granja 169 Puente Alto 170 San José de Maipo 171 Pirque 172 Talagante 173 Peñaflor 174 Isla de Maipo 175 Melipilla 176 María Pinto 177 El Monte 178 Alhué 179 San Pedro 180 San Antonio 181 Santo Domingo 182 Cartagena 183 El Tabo 184 Navidad 185 San Bernardo 186 Calera de Tango 187 Buin 188 Paine 200 Rancagua 201 Graneros 202 Mostazal 203 Machalí 204 Doñihue 205 Coltauco 206 Codegue 207 Peumo 208 Las Cabras 209 San Vicente 210 Pichidegua 211 Rengo 212 Requinos 213 Malloa 214 Quinta de Tilcoco 215 Coinco 216 Olivar 225 Santa Cruz 226 Lolol 227 Palmilla 228 Peralíllo 229 Marchigue 230 Rosario 231 Pichilemu 232 Pumanque 233 Chéptes 234 Paredones 235 La Estrella 236 San Fernando 237 Chimbarongo 238 Nancagua 239 Placilla 250 Curicó 251 Romeral 252 Teno 253 Rauco 254 Licantén 255 Vichuquén 256 Hualañé 275 Curepto 276 Molino 277 Segrada Familia 278 Talca 279 San Clemente 280 Pelarco 281 Río Claro 282 Pencahue 283 Maule 300 Constitución 301 Empedrado 302 Chanco 303 Cauquenes 325 San Javier 326 Villa Alegre 327 Linares 328 Yerbas Buenas 329 Colbún 330 Longaví 331 Parral 332 Retiro 350 Quirihue 351 Nínhue 352 Portezuelo 353 Cobquecura 354 San Carlos 355 Ñiquén 356 San Fabián 357 San Nícolás 358 Chillán 359 Pinto 360 Coihueco 361 Bulnes 362 San Ignacio 363 Quillón 364 Yungay 365 Pemuco 366 El Carmen 367 Tucapel 375 Tomé 376 Coelemu 377 Ránquil 378 Talcahuano 379 Concepción 380 Penco 381 Hualqui 382 Florida 383 Coronel 384 Lota 385 Santa Juana 386 Yumbel 387 C obrero 388 San Rosendo 400 Arauco 401 Curanilahue 402 Lebu 403 Los Alamos 404 Cañete 405 Contulmo 425 Los Angeles 426 Santa Bárbara 427 Laja 428 Quilleco 429 Nacimiento 430 Negrete 431 Mulchén 432 Quilaco 450 Angol 451 Purén 452 Los Sauces 453 Renaico 454 Colipulli 455 Ercilla 456 Traiguén 457 Lumaco 458 Victoria 459 Curacautín 460 Lonquimay 475 Lautaro 476 Perquenco 477 Galvarino 478 Nueva Imperial 479 Carahue 480 Saavedra 481 Temuco 482 Vilcún 483 Freire 484 Cunco 485 Pitrufquén 486 Gorbea 487 Toltén 488 Loncoche 489 Villarrica 490 Pucón 500 Valdivia 501 Mariquina 502 Lanco 503 Los Lagos 504 Futrono 505 Corral 506 Máfil 507 Panguipullí 508 La Uníón 509 Paillaco 510 Río Bueno 511 Lago Ranco 525 Osorno 526 San Pablo 527 Puerto Octay 528 Río Negro 529 Purranque 550 Puerto Varas 551 Frutíllar 552 Fresia 553 Llanquihue 554 Maullín 555 Los Muermos 556 Puerto Montt 557 Cochamó 558 Calbuco 575 Ancud 576 Quemchi 577 Dalcahue 578 Castro 579 Chonchi 580 Queilén 581 Quellón 582 Puqueldón 583 Achao 584 Curaco de Vélez 585 Chaítén 586 Futaleufú 587 Palena 588 Corcovado 600 Aysén 601 Cisnes 602 Coyhaique 603 Río Ibáñez 604 General Carrera 605 Baker 625 Natales 626 Cerro Castillo 627 Magallanes 628 Río Verde 629 Morro Chico 630 San Gregorio 631 La Antártica 632 Porvenir 633 Primavera 634 Bahía Inútil 635 Navarino 650 Chile, Unknown 700 Canada 701 United States 702 Greenland 703 Mexico 720 Costa Rica 721 Cuba 722 El Salvador 723 Guatemala 724 Haiti 725 Honduras 727 Nicaragua 728 Panama 729 Puerto Rico 730 Dominican Republic 732 Other countries in Central America 750 Argentina 751 Bolivia 752 Brazil 753 Colombia 754 Ecuador 756 Paraguay 757 Peru 758 Uruguay 759 Venezuela 760 Other countries in South America 770 Albania 771 West Germany 772 East Germany 773 Austria 774 Belgium 775 Bulgaria 776 Checkoslovakia 777 Denmark 778 Scottlan 779 Spain 780 Finland 781 France 782 Greece 783 Holland 784 Hungary 785 England 788 Italy 790 Norway 791 Poland 792 Portugal 793 Romania 794 Sweden 795 Switzerland 796 Yugoslavia 797 Other countries in Europe 800 Saudi Arabia 801 China (Continental) 802 China-Taiwan (Formosa) 803 Cyprus 805 Indonesia 807 Israel 808 Japan 809 Jordan 810 Lebanon 811 Pakistan 812 Russia 813 Turkey 814 Other countries in Asia 830 Algeria 832 Morocco 833 Arab Republic of Egypt 834 Tunisia 850 Australia 851 Other countries in Oceania Migration: Global Variables -- PERSON Municipality or country of residence in 1965 <svar v="CL70A429 CL70A430 CL70A435 CL70A436" a="all">9. Residence in 1965: Only for those persons five years of age and older.<br /><br />Where was your habitual or permanent residence in April, 1965?<br /><br />[] 1 Here<br /><br />____ Municipality or place<br /><br />____ Province or country<br /></svar> <svar v="CL70A429 CL70A430" a="all"><span class="h3">Question No. 9--Habitual Residence in 1965</span><br /><br />This question should only be asked of people 5 years and older. The name of the municipality or place and the name of the province where the person being enumerated lived in April of 1965 should be obtained, if the person was living in Chile on that date. If the person was living abroad, the name of the country of residence should be obtained.<br /><br />When the response is the same as the place of enumeration, mark the X following the box "here" and continue on to question No. 10.<br /><br />If the response is different [from the place of enumeration], find out the name of the municipality and province of residence in 1965 if the person lived in the country, and the name of the country if the person lived abroad.<br /></svar> Chile 1970: Persons age 5+ [discrepancies: type I: 1.9%; type II: none] This variable indicates the place of residence (country or municipality) in 1965. 001 Arica 002 General Lagos 003 Putre 004 Belen 005 Codpa 006 Pisagua 007 Negreiros 008 Iquique 009 Huara 010 Pozo Almonte 011 Pica 012 Lagunas 013 Tocopilla 014 Toco 015 Calama 016 Antofagasta 017 Mejillones 018 Sierra Gorda 019 Aguas Blancas 020 Taltal 021 Catalina 022 Chanaral 023 Copiapo 024 Caldera 025 Tierra Amarilla 026 Vallenar 027 Freirina 028 Huasco 029 La Serena 030 La Higuera 031 Vicuna 032 Paihuano 033 Coquimbo 034 Andacollo 035 Ovalle 036 Samo Alto 037 Monte Patria 038 Punitaqui 039 Combarbala 040 Illapel 041 Salamanca 042 Los Vilos 043 Mincha 044 La Ligua 045 Petorca 046 Cabildo 047 Zapallar 048 Papudo 049 San Felipe 050 Panquehue 051 Catemu 052 Putaendo 053 Santa Maria 054 Los Andes 055 Calle Larga 056 San Esteban 057 Rinconada 058 Quillota 059 La Cruz 060 Nogales 061 Hijuelas 062 Calera 063 Llay Llay 064 Quintero 065 Puchuncavi 066 Valparaiso 067 Vina del Mar 068 Limache 069 Villa alemana 070 Quilpue 071 Casablanca 072 El Quisco 073 Algarrobo 074 Olmue 075 Isla de Pascua 076 Santiago 077 Quinta Normal 078 Providencia 079 Nunoa 080 Maipu 081 Barrancas 082 Renca 083 Quilicura 084 Lampa 085 Curacavi 086 Tiltil 087 Colina 088 Conchali 089 Las Condes 090 La Reina 091 La Florida 092 San Miguel 093 La Cisterna 094 La Granja 095 Puente Alto 096 San Jose de Maipo 097 Pique 098 Talagante 099 Penaflor 100 Isla de Maipo 101 Melipilla 102 Maria Pinto 103 El Monte 104 Alhue 105 San Pedro 106 San Antonio 107 Santo Domingo 108 Cartagena 109 El Tabo 110 Navidad 111 San Bernardo 112 Calera de Tango 113 Buin 114 Paine 115 Rancagua 116 Graneros 117 Mostasal 118 Machali 119 Donihue 120 Coltauco 121 Codegua 122 Peumo 123 Las Cabras 124 San Vicente 125 Pichidegua 126 Rengo 127 Requinoa 128 Malloa 129 Quinta de Tilcoco 130 Coinco 131 Olivar 132 Santa Cruz 133 Lolol 134 Palmilla 135 Peralillo 136 Marchigue 137 Rosario 138 Pichilemu 139 Pumanque 140 Chepica 141 Paredones 142 La Estrella 143 San Fernando 144 Chimbarongo 145 Nancagua 146 Placilla 147 Curico 148 Romeral 149 Teno 150 Rauco 151 Licanten 152 Vichuquen 153 Hualani 154 Curepto 155 Molina 156 Sagrada Familia 157 Talca 158 San Clemente 159 Pelarco 160 Rio Claro 161 Pencahue 162 Maule 163 Constitucion 164 Empedrado 165 Chanco 166 Cauquenes 167 San Javier 168 Villa Alegre 169 Linares 170 Yerbas Buenas 171 Colbun 172 Loncavi 173 Parral 174 Retiro 175 Quirihue 176 Ninhue 177 Portezuelo 178 Coequecura 179 San Carlos 180 Niquen 181 San Fabian 182 San Nicolas 183 Chillan 184 Pinto 185 Coihueco 186 Bulnes 187 San Ignacio 188 Quillon 189 Yungay 190 Pemuco 191 El Carmen 192 Tucapel 193 Tome 194 Coelemu 195 Ranquil 196 Talcahuano 197 Concepcion 198 Penco 199 Hualqui 200 Florida 201 Coronel 202 Lota 203 Santa Juana 204 Yumbel 205 Cabrero 206 San Rosendo 207 Arauco 208 Curanilahue 209 Lebu 210 Los Alamos 211 Canete 212 Contulmo 213 Los Angeles 214 Santa Barbara 215 Laja 216 Quilleco 217 Nacimiento 218 Negrete 219 Mulchen 220 Quilaco 221 Angol 222 Puren 223 Los Sauces 224 Renaico 225 Collipulli 226 Ercilla 227 Traiguen 228 Lumaco 229 Victoria 230 Curacautin 231 Lonquimay 232 Lautaro 233 Penquenco 234 Galvarino 235 Nueva Imperial 236 Carahue 237 Saavedra 238 Temuco 239 Vilcun 240 Freire 241 Cunco 242 Pitrufquen 243 Gorbea 244 Tolten 245 Loncoche 246 Villarica 247 Pucon 248 Valdivia 249 Mariquina 250 Lanco 251 Los Lagos 252 Futrono 253 Corral 254 Mafil 255 Panguipulli 256 La Union 257 Paillaco 258 Rio Bueno 259 Lago Ranco 260 Osorno 261 San Pablo 262 Puerto Octay 263 Rio Negro 264 Purrenque 265 Puerto Varas 266 Frutillar 267 Fresia 268 Llanquihue 269 Maullin 270 Los Muermos 271 Puerto Montt 272 Cochamo 273 Calbuco 274 Ancud 275 Quemchi 276 Dalcahue 277 Castro 278 Chonchi 279 Queilen 280 Quellon 281 Puqueldon 282 Achao 283 Curaco de Velez 284 Chaiten 285 Futaleufu 286 Palena 287 Corcovado 288 Aisen 289 Cisne 290 Coihaique 291 Rio Ibanez 292 General Carrera 293 Baker 294 Natales 295 Cerro Castillo 296 Magallanes 297 Rio Verde 298 Morro Chico 299 San Gregorio 300 La Antartica 301 Porvenir 302 Primavera 303 Bahia Inutil 304 Navarino 650 Chile, Unknown 700 Canada 701 United States 702 Greenland 703 Mexico 704 Saint Pierre and Miquelon 720 Costa Rica 721 Cuba 722 El Salvador 723 Guatemala 724 Haiti 725 Honduras 726 British Honduras 727 Nicaragua 728 Panama 729 Puerto Rico 730 Dominican Republic 731 Panama Canal Zone 732 Other countries in Central America 750 Argentina 751 Bolivia 752 Brazil 753 Colombia 754 Ecuador 755 Guyana 756 Paraguay 757 Peru 758 Uruguay 759 Venezuela 760 Other countries in South America 770 Albania 771 West Germany 772 East Germany 773 Austria 774 Belgium 775 Bulgaria 776 Checkoslovakia 777 Denmark 778 Scotlan 779 Spain 780 Finland 781 France 782 Greece 783 Holland 784 Hungary 785 England 786 Ireland 787 Iceland 788 Italy 789 Malta 790 Norway 791 Poland 792 Portugal 793 Romania 794 Sweden 795 Switzerland 796 Yugoslavia 797 Other countries in Europe 800 Saudi Arabia 801 China (Continental) 802 China-Taiwan (Formosa) 803 Cyprus 804 India 805 Indonesia 806 Iran 807 Israel 808 Japan 809 Jordan 810 Lebanon 811 Pakistan 812 Russia 813 Turkey 814 Other countries in Asia 830 Algeria 831 Ethiopia 832 Morocco 833 Arab Republic of Egypt 834 Tunisia 835 Other countries in Africa 850 Australia 997 Here 999 NIU (not in universe) Migration: Global Variables -- PERSON Province of residence in 1965 <svar v="CL70A429 CL70A430 CL70A435 CL70A436" a="all">9. Residence in 1965: Only for those persons five years of age and older.<br /><br />Where was your habitual or permanent residence in April, 1965?<br /><br />[] 1 Here<br /><br />____ Municipality or place<br /><br />____ Province or country<br /></svar> <svar v="CL70A429 CL70A430" a="all"><span class="h3">Question No. 9--Habitual Residence in 1965</span><br /><br />This question should only be asked of people 5 years and older. The name of the municipality or place and the name of the province where the person being enumerated lived in April of 1965 should be obtained, if the person was living in Chile on that date. If the person was living abroad, the name of the country of residence should be obtained.<br /><br />When the response is the same as the place of enumeration, mark the X following the box "here" and continue on to question No. 10.<br /><br />If the response is different [from the place of enumeration], find out the name of the municipality and province of residence in 1965 if the person lived in the country, and the name of the country if the person lived abroad.<br /></svar> Chile 1970: All persons This variable indicates a person's province of residence in 1965. [all persons have answers although one would expect to have only persons age 5+ answering it.] 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 26 Foreign country 27 Not declared 99 Unknown Migration: Global Variables -- PERSON Province of residence at the time of the census Office Use: <br />____ Province <br />____ Department <br />____ Municipality <br />____ District <br />____ Census Zone <br />____ Sector of Enumeration <br />____ Dwelling order number <br />____ Form order number <br />____ Area <br />____ Locality <br />____ Category <br />____ Household type <svar v="CL70A428 CL70A431 CL70A432 CL70A434" a="all"><span class="h3">Question No. 8--Current Habitual Residence</span><br /><br />Place of habitual residence means the place in which the person is established because of work, business, family life, etc. for a period of six months or more, even though the person may have no intention of settling in that place, or for a lesser period if the person has come with the intention of settling in that place.<br /><br />If the person being enumerated has their habitual residence in the same municipality where the enumeration is taking place, mark the box after the word "here" and continue on to question No. 9.<br /><br />If the person has their habitual residence in another place, you should record the name of the municipality or place where the person being enumerated habitually resides and the province to which that municipality or place belongs.<br /><br />If the person being enumerated maintains their residence abroad, record only the country where the person habitually resides.<br /></svar> Chile 1970: All persons This variable indicates a person's province of residence at the time of the census (1970). 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 26 Foreign country 27 Not declared 99 Unknown Migration: Global Variables -- PERSON Province of birth <svar v="CL70A427 CL70A433" a="all">7. Place of birth:<br /><br />Where were you born?<br />If born in this same municipality, write "here;" otherwise, write the municipality or place and the province or country where born.<br /><br /><div class="i1">[] 1 Here<br /><br />____ Municipality or place<br /><br />____ Province or country</div><br /></svar> <svar v="CL70A427 CL70A433" a="all"><span class="h3">Question No. 7--Place of Birth</span><br /><br />For this question, you should obtain the municipality or country where the person being enumerated was born.<br /><br />If the person reports being born in the same municipality in which the enumeration takes place, mark the box following the word "here" and continue with question No. 8.<br /><br /><span class="pg">[p. 35]</span><br /><br />If the person was born in another municipality, write down the name of that municipality and the province to which it belongs.<br /><br />If the person was born abroad, record only the name of the country of birth.<br /></svar> Chile 1970: All persons This variable indicates a person's province 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 26 Foreign country 99 Unknown Nativity and Birthplace Variables -- PERSON Residence and enumeration <svar v="CL70A428 CL70A431 CL70A432 CL70A434" a="all"><span class="h3">Question No. 8--Current Habitual Residence</span><br /><br />Place of habitual residence means the place in which the person is established because of work, business, family life, etc. for a period of six months or more, even though the person may have no intention of settling in that place, or for a lesser period if the person has come with the intention of settling in that place.<br /><br />If the person being enumerated has their habitual residence in the same municipality where the enumeration is taking place, mark the box after the word "here" and continue on to question No. 9.<br /><br />If the person has their habitual residence in another place, you should record the name of the municipality or place where the person being enumerated habitually resides and the province to which that municipality or place belongs.<br /><br />If the person being enumerated maintains their residence abroad, record only the country where the person habitually resides.<br /></svar> Chile 1970: All persons This variable indicates whether the stated place of residence coincides with the household geographic location for the respondent. 1 Same province 2 Different province including foreign 9 Unknown Migration: Global Variables -- PERSON Migrate: province of residence in 1965 different from province of birth Chile 1970: All persons This variable indicates whether in 1965 the respondent lived in a province different from that where they were born. 1 Resides in province of birth 2 Resides in province different from province of birth 3 Born outside Chile 9 Unknown Migration: Global Variables -- PERSON Migrate: different municipality, same province Chile 1970: All persons This variable indicates whether a person moved to a municipality different from the municipality of residence 5 yrs ago (1965). 1 Not migrant 2 Different municipality, same province 3 From other province 4 From abroad 9 Unknown Migration: Global Variables -- PERSON Migrate: different province 5 years ago Chile 1970: All persons This variable indicates whether a person currently lives in a different province than 5 yrs before (1965). 1 Not migrant 2 Migrant 9 Unknown Migration: Global Variables -- PERSON Country of birth <svar v="CL70A427 CL70A433" a="all">7. Place of birth:<br /><br />Where were you born?<br />If born in this same municipality, write "here;" otherwise, write the municipality or place and the province or country where born.<br /><br /><div class="i1">[] 1 Here<br /><br />____ Municipality or place<br /><br />____ Province or country</div><br /></svar> Chile 1970: All persons This variable indicates whether respondent was born in Chile or in a foreign country. 00 Chile 01 Canada 02 United States 03 Greenland 04 Mexico 05 Saint Pierre and Miquelon 06 Costa Rica 07 Cuba 08 El Salvador 09 Guatemala 10 Haiti 11 Honduras 12 British Honduras 13 Nicaragua 14 Panama 15 Puerto Rico 16 Dominican Republic 17 Panama Canal Zone 18 Other countries in Central America 19 Argentina 20 Bolivia 21 Brazil 22 Colombia 23 Ecuador 24 Guyana 25 Paraguay 26 Peru 27 Uruguay 28 Venezuela 29 Other countries in South America 30 Albania 31 West Germany 32 East Germany 33 Austria 34 Belgium 35 Bulgaria 36 Checkoslovakia 37 Denmark 38 Scotlan 39 Spain 40 Finland 41 France 42 Greece 43 Holland 44 Hungary 45 England 46 Ireland 47 Undocumented 48 Italy 49 Malta 50 Norway 51 Poland 52 Portugal 53 Romania 54 Sweden 55 Switzerland 56 Yugoslavia 57 Other countries in Europe 58 Saudi Arabia 59 China (Continental) 60 China-Taiwan (Formosa) 61 Cyprus 62 India 63 Indonesia 64 Iran 65 Israel 66 Japan 67 Jordan 68 Lebanon 69 Pakistan 70 Russia 71 Turkey 72 Other countries in Asia 73 Algeria 74 Ethiopia 75 Morocco 76 Arab Republic of Egypt 77 Tunisia 78 Other countries in Africa 79 Australia 80 Other countries in Oceania 99 Unknown Nativity and Birthplace Variables -- PERSON Continent of birth <svar v="CL70A427 CL70A433" a="all">7. Place of birth:<br /><br />Where were you born?<br />If born in this same municipality, write "here;" otherwise, write the municipality or place and the province or country where born.<br /><br /><div class="i1">[] 1 Here<br /><br />____ Municipality or place<br /><br />____ Province or country</div><br /></svar> Chile 1970: All persons This variable indicates a person's continent of birth. 1 North America 2 Central America 3 South America 4 Europe 5 Asia 6 Africa 7 Oceania 9 Unknown Nativity and Birthplace Variables -- PERSON Children ever born, live and stillbirth <svar v="CL70A440 CL70A441 CL70A442 CL70A443"><span class="h3">IV -- Fertility</span><br /><br />Only for women 15 years of age and older<br /><br />17. Number of children:<br /></svar> <svar v="CL70A440 CL70A441 CL70A442 CL70A443" a="all"><span class="h2">IV. Fertility Rate </span><br /><br />Only for women 15 and older<br /><br />The questions included under this title should be asked of all women 15 and older, regardless of their marital status. Ask the questions exactly as they are written, waiting for a response to each item (A, B, C, etc.) before continuing on to the next one.<br /><br />If the answer to item A) How many live-born and stillborn children have you had?, is "none," record zero, zero (00). Conversely, if the response is affirmative, record the number of children and ask all of the following questions, even though they may seem obvious.<br /><br />If the number of children had by a woman is unknown, or if the person doesn't respond to this question, record XX after item A).<br /><br />In order to answer the questions, it is necessary for you to remember the following definitions:<br /><br />Born alive: A child who, upon being born, breathes, cries, or moves. If the child demonstrated any of these signs of life and then died, it is a "child born alive."<br /><br />Stillborn: A child who, upon being born, doesn't show any sign of life. That is, the child doesn't cry, breathe, or move.<br /><br /><span class="pg">[p. 40]</span><br /><br /><span class="h3">Question No. 17--Number of Children</span><br /><br />A. You should record here the total number of children had by the woman, including live-born and stillborn children.<br /><br />B. Record here, separately, the total number of stillborn children.<br /><br />C. Again separately, record in this item the total number of children born alive.<br /><br />D. Of the children born alive, record in this item how many are currently alive.<br /><br />E. From the total of children born alive, record in this item how many of them have died.<br /></svar> Chile 1970: Females age 15+ [discrepancies: type I 0.06%; type II none] This variable indicates the number of live births and stillbirths ever had by a woman. 00 None 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 children 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children ever born, live and stillbirth, top-coded <svar v="CL70A440 CL70A441 CL70A442 CL70A443"><span class="h3">IV -- Fertility</span><br /><br />Only for women 15 years of age and older<br /><br />17. Number of children:<br /></svar> <svar v="CL70A440 CL70A441 CL70A442 CL70A443" a="all"><span class="h2">IV. Fertility Rate </span><br /><br />Only for women 15 and older<br /><br />The questions included under this title should be asked of all women 15 and older, regardless of their marital status. Ask the questions exactly as they are written, waiting for a response to each item (A, B, C, etc.) before continuing on to the next one.<br /><br />If the answer to item A) How many live-born and stillborn children have you had?, is "none," record zero, zero (00). Conversely, if the response is affirmative, record the number of children and ask all of the following questions, even though they may seem obvious.<br /><br />If the number of children had by a woman is unknown, or if the person doesn't respond to this question, record XX after item A).<br /><br />In order to answer the questions, it is necessary for you to remember the following definitions:<br /><br />Born alive: A child who, upon being born, breathes, cries, or moves. If the child demonstrated any of these signs of life and then died, it is a "child born alive."<br /><br />Stillborn: A child who, upon being born, doesn't show any sign of life. That is, the child doesn't cry, breathe, or move.<br /><br /><span class="pg">[p. 40]</span><br /><br /><span class="h3">Question No. 17--Number of Children</span><br /><br />A. You should record here the total number of children had by the woman, including live-born and stillborn children.<br /><br />B. Record here, separately, the total number of stillborn children.<br /><br />C. Again separately, record in this item the total number of children born alive.<br /><br />D. Of the children born alive, record in this item how many are currently alive.<br /><br />E. From the total of children born alive, record in this item how many of them have died.<br /></svar> Chile 1970: Females age 15+ [discrepancies: type I 0.68%; type II none] This variable indicates children ever born,corrected. 00 None 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10+ children 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children surviving <svar v="CL70A442 CL70A443" a="all">D) How many are alive?<br />____<br /><br />E) How many have died of those born alive?<br />____<br /></svar> <svar v="CL70A440 CL70A441 CL70A442 CL70A443" a="all"><span class="h2">IV. Fertility Rate </span><br /><br />Only for women 15 and older<br /><br />The questions included under this title should be asked of all women 15 and older, regardless of their marital status. Ask the questions exactly as they are written, waiting for a response to each item (A, B, C, etc.) before continuing on to the next one.<br /><br />If the answer to item A) How many live-born and stillborn children have you had?, is "none," record zero, zero (00). Conversely, if the response is affirmative, record the number of children and ask all of the following questions, even though they may seem obvious.<br /><br />If the number of children had by a woman is unknown, or if the person doesn't respond to this question, record XX after item A).<br /><br />In order to answer the questions, it is necessary for you to remember the following definitions:<br /><br />Born alive: A child who, upon being born, breathes, cries, or moves. If the child demonstrated any of these signs of life and then died, it is a "child born alive."<br /><br />Stillborn: A child who, upon being born, doesn't show any sign of life. That is, the child doesn't cry, breathe, or move.<br /><br /><span class="pg">[p. 40]</span><br /><br /><span class="h3">Question No. 17--Number of Children</span><br /><br />A. You should record here the total number of children had by the woman, including live-born and stillborn children.<br /><br />B. Record here, separately, the total number of stillborn children.<br /><br />C. Again separately, record in this item the total number of children born alive.<br /><br />D. Of the children born alive, record in this item how many are currently alive.<br /><br />E. From the total of children born alive, record in this item how many of them have died.<br /></svar> Chile 1970: Females age 15+ who ever gave birth [discrepancies: type I 0.01%; type II none] This variable indicates the number of children still living. 00 None 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 children 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children surviving, top-coded <svar v="CL70A442 CL70A443" a="all">D) How many are alive?<br />____<br /><br />E) How many have died of those born alive?<br />____<br /></svar> <svar v="CL70A440 CL70A441 CL70A442 CL70A443" a="all"><span class="h2">IV. Fertility Rate </span><br /><br />Only for women 15 and older<br /><br />The questions included under this title should be asked of all women 15 and older, regardless of their marital status. Ask the questions exactly as they are written, waiting for a response to each item (A, B, C, etc.) before continuing on to the next one.<br /><br />If the answer to item A) How many live-born and stillborn children have you had?, is "none," record zero, zero (00). Conversely, if the response is affirmative, record the number of children and ask all of the following questions, even though they may seem obvious.<br /><br />If the number of children had by a woman is unknown, or if the person doesn't respond to this question, record XX after item A).<br /><br />In order to answer the questions, it is necessary for you to remember the following definitions:<br /><br />Born alive: A child who, upon being born, breathes, cries, or moves. If the child demonstrated any of these signs of life and then died, it is a "child born alive."<br /><br />Stillborn: A child who, upon being born, doesn't show any sign of life. That is, the child doesn't cry, breathe, or move.<br /><br /><span class="pg">[p. 40]</span><br /><br /><span class="h3">Question No. 17--Number of Children</span><br /><br />A. You should record here the total number of children had by the woman, including live-born and stillborn children.<br /><br />B. Record here, separately, the total number of stillborn children.<br /><br />C. Again separately, record in this item the total number of children born alive.<br /><br />D. Of the children born alive, record in this item how many are currently alive.<br /><br />E. From the total of children born alive, record in this item how many of them have died.<br /></svar> Chile 1970: Females age 15+ who ever gave birth [discrepancies: none] This variable indicates the number of children still alive, corrected. 00 None 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 children 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Municipality of residence in 1965 <svar v="CL70A429 CL70A430 CL70A435 CL70A436" a="all">9. Residence in 1965: Only for those persons five years of age and older.<br /><br />Where was your habitual or permanent residence in April, 1965?<br /><br />[] 1 Here<br /><br />____ Municipality or place<br /><br />____ Province or country<br /></svar> Chile 1970: All persons This variable indicates municipality (comuna) of residence in 1965 based on the 1982 municipality (comuna) code. 000 Undocumented 201 Arica 202 Camarones 205 Putre 206 General Lagos 210 Iquique 211 Huara 212 Camiña 213 Colchane 214 Pica 215 Pozo Almonte 220 Tocopilla 221 María Elena 225 Calama 226 Ollaque 227 San Pedro de Atacama 230 Antofagasta 231 Mejillones 232 Sierra Gorda 233 Taltal 235 Chañaral 236 Diego de Almagro 240 Copiapó 241 Caldera 242 Tierra Amarilla 245 Vallenar 246 Freirina 247 Huasco 248 Alto del Carmen 250 La Serena 251 La Higuera 252 Coquimbo 253 Andacollo 254 Vicuña 255 Paihuano 256 Undocumented 260 Ovalle 261 Río Hurtado 262 Monte Patria 263 Combarbalá 264 Punitaqui 270 Illapel 271 Salamanca 272 Los Vilos 273 Mincha 275 La Ligua 276 Petorca 277 Cabildo 278 Zapallar 279 Papudo 285 Los Andes 286 San Esteban 287 Calle Larga 290 San Felipe 291 Putaendo 292 Santa María 293 Panquehue 294 Llayllay 295 Catemu 300 Quillota 301 La Cruz 302 Calera 303 Nocales 304 Hijuelas 305 Limache 306 Olmué 310 Valparaíso 311 Viña del Mar 312 Quintero 313 Malloa / Puchuncaví 314 Quilpué 315 Villa Alemana 316 Casablanca 317 Juan Fernández 320 San Antonio 321 Cartagena 322 El Tabo 323 El Quisco 324 Algarrobo 325 Santo Domingo 330 Isla de Pascua 335 Rancagua 336 Graneros 337 Mostazal 338 Codegua 339 Machali 340 Olivar 341 Requínoa 342 Rengo 343 Malloa 344 Quinta de Tilcoco 345 San Vicente 346 Pichidegua 347 Peumo 348 Coltauco 349 Coinco 350 Doñihue 351 Las Cabras 355 San Fernando 356 Chimbarongo 357 Placilla 358 Nancagua 359 Chépica 360 Santa Cruz 361 Lolol 362 Pumanque 363 Palmilla 364 Peralillo 370 Pichilemu 371 Navidad 372 Litueche 373 La Estrella 374 Marchique 375 Paredones 380 Curicó 381 Teno 382 Romeral 385 Hualañé 386 Licantén 387 Vichuquén 388 Rauco 395 Empedrado 396 Pencahue 397 Constitución 400 Linares 401 Yerbas Buenas 402 Colbún 403 Longaví 404 Parral 405 Retiro 406 Villa Alegre 407 San Javier 410 Cauquenes 411 Pelluhue 412 Chanco 415 Chillan 416 San Carlos 417 Ñiquén 418 San Fabián 419 Coihueco 420 Pinto 421 San Ignacio 422 El Carmen 423 Yungay 424 Pemuco 425 Bulnes 426 Quillón 428 Portezuelo 430 Treguaco 431 Cobquecura 432 Quirihue 433 Ninhue 434 San Nicolás 440 Los Angeles 442 Tucapel 443 Antuco 444 Quilleco 445 Santa Bárbara 446 Quilaco 447 Mulchén 448 Negrete 449 Nacimiento 450 Laja 463 Coronel 465 Lebu 466 Arauco 467 Curanilahue 468 Los Alamos 469 Cañete 470 Contulmo 471 Tirúa 475 Angol 476 Renaico 477 Collipulli 478 Lonquimay 479 Curacautín 480 Ercilla 481 Victoria 482 Traiguén 483 Lumaco 484 Purén 485 Los Sauces 490 Temuco 491 Lautaro 492 Perquenco 493 Vilcún 494 Cunco 495 Melipeuco 496 Curarrehue 497 Puc6n 498 Villarrica 499 Freire 500 Pitrufquén 501 Gorbea 502 Loncoche 503 Toltén 504 Teodoro Schmidt 505 Saavedra 506 Carahue 507 Nueva Imperial 508 Galvarino 510 Valdivia 511 Mariquina 512 Lanco 513 Los Lagos 514 Futrono 515 Corral 516 Mafil 517 Panguipulli / Quemchi 518 La Unión 519 Paillaco 520 Río Bueno 521 Lago Ranco 525 Osorno 526 San Pablo 527 Entre Lagos 528 Puerto Octay 529 Purranque 530 Río Negro 531 San Juan de la Costa 535 Puerto Montt 536 Puerto Varas 537 Cochamo 538 Calbuco 539 Maullín 540 Los Muermos 541 Fresia 542 Llanquihue 543 Frutillar 545 Castro 546 Ancud 547 Quemchi 548 Dalcahue 549 Curaco de Vélez 550 Quinchao 551 Puqueldón 552 Chonchi 553 Queilén / Quinchao 554 Quellón 560 Chaitén 561 Hualaihue 562 Futaleufú 563 Palena 565 Coyhaique 566 Lago Verde 570 Aysén 571 Cisnes 572 Guaitecas 575 Chile Chico 576 Río Ibáñez 580 Cochrane 581 O'Higgins 582 Tortel 585 Natales 586 Torres del Paine 590 Punta Arenas 591 Río Verde 592 Laguna Blanca 593 San Gregorio 595 Porvenir 596 Primavera 597 Timauke1 600 Ambarino 601 Antártica 605 Santiago 606 Independencia 607 Conchalí 608 Huechuraba 609 Recoleta 610 Providencia 611 Vitacura 612 Lo Barnechea 613 Las Condes 614 Ñuñoa 615 La Reina 616 Macul 617 Peñalolén 618 La Florida 619 San Joaquín 620 La Granja 621 La Pintana 622 San Ramón 623 San Miguel 624 La Cisterna 625 El Bosque 626 Pedro Aguirre Cerda 627 Lo Espejo 628 Estación Central 629 Cerrillos 630 Maipú 631 Quinta Normal 632 Lo Prado 633 Pudahuel 634 Cerro Navia 635 Renca 636 Quilicura 640 Colina 641 Lampa 642 Til Til 645 Puente Alto 646 San José de Maipo 647 Pirque 650 San Bernardo 651 Buín 652 Paine 653 Calera de Tango 660 Melipilla 661 María Pinto 662 Curacaví 663 Alhué 664 San Pedro 670 Talagante 671 Peñaflor 672 Isla de Maipo 673 El Monte Migration: Global Variables -- PERSON