Censo de Población y Viviendas, 1962 DDI_PRY_1962_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. Censo de Población y Viviendas, 1962 - IPUMS Subset PHC py1962a (IPUMS Harmonized Subset) PRY_1962_PHC_v01_M_v7.6_A_IPUMS General Directorate of Statistics and Censuses (DGEC) IPUMS (c) Copyright 1962, General Directorate of Statistics and Censuses (DGEC) and Minnesota Population Center General Directorate of Statistics and Censuses (DGEC) Population and Housing Census [hh/popcen] IPUMS International DOI:10.18128/D020.V7.6 Version 7.6. The datasets contain selected variables from the original microdata plus harmonized variables from the IPUMS-International database. Demographic Variables -- PERSON Geography: Global Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Fertility and Mortality Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Disability Variables -- PERSON Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Geography: O-Z Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Ethnicity and Language Variables -- PERSON Migration: Global Variables -- PERSON Technical Person Variables -- PERSON Ethnicity and Language Variables -- PERSON Education Variables -- PERSON Work Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON Fertility and Mortality Variables -- PERSON Other Person Variables -- PERSON Disability Variables -- PERSON October 14, 1962 1 day urban, 8 days rural Paraguay District Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: No - Households: yes - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: Any premise or enclosure structurally separate and independent, which has been constructed,converted, or adapted for the purpose of permanent or temporary lodging of people, as well as any type of shelter, fixed or mobile, occupied as a place of dwelling on the date of the census - Households: A private household includes the resident members of a private or family dwelling who live together as a family; it usually consists of a household head, his or her family members, visitors, guests, domestic servants, up to five boarders, and all other occupants. - Group quarters: A place of residence where a group of people, generally without family ties, live communally for reasons of discipline, health, religion, defense, or education, such as juvenile detention centers, prisons, hospitals, boarding schools, hotels, convents, guest houses, homes for the elderly, workers' camps, etc. Households with six or more boarders are considered collective dwellings. All persons who were in the country at 12am on 14 October 1962 Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Paraguay 1962 MICRODATA SOURCE: General Directorate of Statistics and Censuses (DGEC) SAMPLE SIZE (person records): 90,236. SAMPLE DESIGN: Systematic sample of every 20th household with a random start, drawn by CELADE Face-to-face [f2f] A single enumeration form requested information on the dwelling and individuals. de facto, CENSUS DAY: October 14, 1962 Self-weighting (expansion factor = 20). 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. General Directorate of Statistics and Censuses (DGEC) 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: Paraguay, General Directorate of Statistics and Censuses (DGEC). Censo de Población y Viviendas, 1962 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 py1962a, 2025 PRY1962_PHC-H-H.dat Household records 18,307 ascii Minnesota Population Center Version 7.5, IPUMS sample PRY1962_PHC-P-H.dat Person records 90,236 ascii Minnesota Population Center Version 7.5, IPUMS sample Record type RECTYPE identifies the type of record for the case: household or person. NOTE: RECTYPE is an alphabetic (character string) variable with a value of 'H' for household records and 'P' for person records. RECTYPE will not appear as a variable in the default rectangular extracts produced by the data extract system. It is only available in hierarchical extracts, to distinguish between the two record types. H Household P Person Technical Household Variables -- HOUSEHOLD Country COUNTRY gives the country from which the sample was drawn. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization). 032 Argentina 051 Armenia 040 Austria 050 Bangladesh 112 Belarus 204 Benin 068 Bolivia 072 Botswana 076 Brazil 854 Burkina Faso 116 Cambodia 120 Cameroon 124 Canada 152 Chile 156 China 170 Colombia 188 Costa Rica 192 Cuba 208 Denmark 214 Dominican Republic 218 Ecuador 818 Egypt 222 El Salvador 231 Ethiopia 242 Fiji 246 Finland 250 France 276 Germany 288 Ghana 300 Greece 320 Guatemala 324 Guinea 332 Haiti 340 Honduras 348 Hungary 352 Iceland 356 India 360 Indonesia 364 Iran 368 Iraq 372 Ireland 376 Israel 380 Italy 384 Côte d'Ivoire 388 Jamaica 400 Jordan 404 Kenya 417 Kyrgyz Republic 418 Laos 426 Lesotho 430 Liberia 454 Malawi 458 Malaysia 466 Mali 480 Mauritius 484 Mexico 496 Mongolia 504 Morocco 508 Mozambique 104 Myanmar 524 Nepal 528 Netherlands 558 Nicaragua 566 Nigeria 578 Norway 586 Pakistan 275 Palestine 591 Panama 598 Papua New Guinea 600 Paraguay 604 Peru 608 Philippines 616 Poland 620 Portugal 630 Puerto Rico 642 Romania 643 Russia 646 Rwanda 662 Saint Lucia 686 Senegal 694 Sierra Leone 703 Slovak Republic 705 Slovenia 710 South Africa 728 South Sudan 724 Spain 729 Sudan 740 Suriname 752 Sweden 756 Switzerland 834 Tanzania 764 Thailand 768 Togo 780 Trinidad and Tobago 792 Turkey 800 Uganda 804 Ukraine 826 United Kingdom 840 United States 858 Uruguay 862 Venezuela 704 Vietnam 894 Zambia 716 Zimbabwe Technical Household Variables -- HOUSEHOLD Year YEAR gives the year in which the census or survey was taken. For samples that span years, the midpoint or first year of the interval is reported. 1703 1703 1729 1729 1787 1787 1801 1801 1819 1819 1845 1845 1848 1848 1850 1850 1851 1851 1852 1852 1860 1860 1861 1861 1865 1865 1868 1868 1870 1870 1871 1871 1875 1875 1880 1880 1881 1881 1885 1885 1890 1890 1891 1891 1900 1900 1901 1901 1910 1910 1911 1911 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1966 1966 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 Technical Household Variables -- HOUSEHOLD IPUMS sample identifier SAMPLE identifies the IPUMS sample from which the case is drawn. Each sample receives a unique 9-digit code. The code is structured as follows: The first 3 digits are the ISO/UN codes used in COUNTRY The next 4 digits are the year of the census/survey The final 2 digits identify the sample within the year. For the last two digits, censuses or large census-like surveys have a value "0" (e.g, 01) in the second-to-last digit, household surveys have a value of "2" (e.g., 21), and employment surveys have a value of "4" (e.g., 41). 032197001 Argentina 1970 032198001 Argentina 1980 032199101 Argentina 1991 032200101 Argentina 2001 032201001 Argentina 2010 051200101 Armenia 2001 051201101 Armenia 2011 040197101 Austria 1971 040198101 Austria 1981 040199101 Austria 1991 040200101 Austria 2001 040201101 Austria 2011 050199101 Bangladesh 1991 050200101 Bangladesh 2001 050201101 Bangladesh 2011 112199901 Belarus 1999 112200901 Belarus 2009 204197901 Benin 1979 204199201 Benin 1992 204200201 Benin 2002 204201301 Benin 2013 068197601 Bolivia 1976 068199201 Bolivia 1992 068200101 Bolivia 2001 068201201 Bolivia 2012 072198101 Botswana 1981 072199101 Botswana 1991 072200101 Botswana 2001 072201101 Botswana 2011 076196001 Brazil 1960 076197001 Brazil 1970 076198001 Brazil 1980 076199101 Brazil 1991 076200001 Brazil 2000 076201001 Brazil 2010 854198501 Burkina Faso 1985 854199601 Burkina Faso 1996 854200601 Burkina Faso 2006 116199801 Cambodia 1998 116200401 Cambodia 2004 116200801 Cambodia 2008 116201301 Cambodia 2013 116201901 Cambodia 2019 120197601 Cameroon 1976 120198701 Cameroon 1987 120200501 Cameroon 2005 124185201 Canada 1852 124187101 Canada 1871 124188101 Canada 1881 124189101 Canada 1891 124190101 Canada 1901 124191101 Canada 1911 124197101 Canada 1971 124198101 Canada 1981 124199101 Canada 1991 124200101 Canada 2001 124201101 Canada 2011 152196001 Chile 1960 152197001 Chile 1970 152198201 Chile 1982 152199201 Chile 1992 152200201 Chile 2002 152201701 Chile 2017 156198201 China 1982 156199001 China 1990 156200001 China 2000 170196401 Colombia 1964 170197301 Colombia 1973 170198501 Colombia 1985 170199301 Colombia 1993 170200501 Colombia 2005 188196301 Costa Rica 1963 188197301 Costa Rica 1973 188198401 Costa Rica 1984 188200001 Costa Rica 2000 188201101 Costa Rica 2011 192200201 Cuba 2002 192201201 Cuba 2012 208178701 Denmark 1787 208180101 Denmark 1801 208184501 Denmark 1845 208188001 Denmark 1880 208188501 Denmark 1885 214196001 Dominican Republic 1960 214197001 Dominican Republic 1970 214198101 Dominican Republic 1981 214200201 Dominican Republic 2002 214201001 Dominican Republic 2010 218196201 Ecuador 1962 218197401 Ecuador 1974 218198201 Ecuador 1982 218199001 Ecuador 1990 218200101 Ecuador 2001 218201001 Ecuador 2010 818184801 Egypt 1848 818186801 Egypt 1868 818198601 Egypt 1986 818199601 Egypt 1996 818200601 Egypt 2006 222199201 El Salvador 1992 222200701 El Salvador 2007 231198401 Ethiopia 1984 231199401 Ethiopia 1994 231200701 Ethiopia 2007 242196601 Fiji 1966 242197601 Fiji 1976 242198601 Fiji 1986 242199601 Fiji 1996 242200701 Fiji 2007 242201401 Fiji 2014 246201001 Finland 2010 250196201 France 1962 250196801 France 1968 250197501 France 1975 250198201 France 1982 250199001 France 1990 250199901 France 1999 250200601 France 2006 250201101 France 2011 276181901 Germany 1819 (Mecklenburg) 276197001 Germany 1970 (West) 276197101 Germany 1971 (East) 276198101 Germany 1981 (East) 276198701 Germany 1987 (West) 288198401 Ghana 1984 288200001 Ghana 2000 288201001 Ghana 2010 300197101 Greece 1971 300198101 Greece 1981 300199101 Greece 1991 300200101 Greece 2001 300201101 Greece 2011 320196401 Guatemala 1964 320197301 Guatemala 1973 320198101 Guatemala 1981 320199401 Guatemala 1994 320200201 Guatemala 2002 324198301 Guinea 1983 324199601 Guinea 1996 324201401 Guinea 2014 332197101 Haiti 1971 332198201 Haiti 1982 332200301 Haiti 2003 340196101 Honduras 1961 340197401 Honduras 1974 340198801 Honduras 1988 340200101 Honduras 2001 340201301 Honduras 2013 348197001 Hungary 1970 348198001 Hungary 1980 348199001 Hungary 1990 348200101 Hungary 2001 348201101 Hungary 2011 352170301 Iceland 1703 352172901 Iceland 1729 352180101 Iceland 1801 352190101 Iceland 1901 352191001 Iceland 1910 356198341 India 1983 356198741 India 1987 356199341 India 1993 356199941 India 1999 356200441 India 2004 356200941 India 2009 360197101 Indonesia 1971 360197601 Indonesia 1976 360198001 Indonesia 1980 360198501 Indonesia 1985 360199001 Indonesia 1990 360199501 Indonesia 1995 360200001 Indonesia 2000 360200501 Indonesia 2005 360201001 Indonesia 2010 364200601 Iran 2006 364201101 Iran 2011 368199701 Iraq 1997 372190101 Ireland 1901 372191101 Ireland 1911 372197101 Ireland 1971 372197901 Ireland 1979 372198101 Ireland 1981 372198601 Ireland 1986 372199101 Ireland 1991 372199601 Ireland 1996 372200201 Ireland 2002 372200601 Ireland 2006 372201101 Ireland 2011 372201601 Ireland 2016 376197201 Israel 1972 376198301 Israel 1983 376199501 Israel 1995 376200801 Israel 2008 380200101 Italy 2001 380201101 Italy 2011 380201121 Italy 2011 Q1 LFS 380201221 Italy 2012 Q1 LFS 380201321 Italy 2013 Q1 LFS 380201421 Italy 2014 Q1 LFS 380201521 Italy 2015 Q1 LFS 380201621 Italy 2016 Q1 LFS 380201721 Italy 2017 Q1 LFS 380201821 Italy 2018 Q1 LFS 380201921 Italy 2019 Q1 LFS 380202021 Italy 2020 Q1 LFS 384198801 Côte d'Ivoire 1988 384199801 Côte d'Ivoire 1998 388198201 Jamaica 1982 388199101 Jamaica 1991 388200101 Jamaica 2001 400200401 Jordan 2004 404196901 Kenya 1969 404197901 Kenya 1979 404198901 Kenya 1989 404199901 Kenya 1999 404200901 Kenya 2009 404201901 Kenya 2019 417199901 Kyrgyz Republic 1999 417200901 Kyrgyz Republic 2009 418199501 Laos 1995 418200501 Laos 2005 418201501 Laos 2015 426199601 Lesotho 1996 426200601 Lesotho 2006 430197401 Liberia 1974 430200801 Liberia 2008 454198701 Malawi 1987 454199801 Malawi 1998 454200801 Malawi 2008 454201801 Malawi 2018 458197001 Malaysia 1970 458198001 Malaysia 1980 458199101 Malaysia 1991 458200001 Malaysia 2000 466198701 Mali 1987 466199801 Mali 1998 466200901 Mali 2009 480199001 Mauritius 1990 480200001 Mauritius 2000 480201101 Mauritius 2011 484196001 Mexico 1960 484197001 Mexico 1970 484199001 Mexico 1990 484199501 Mexico 1995 484200001 Mexico 2000 484200501 Mexico 2005 484201001 Mexico 2010 484201501 Mexico 2015 484202001 Mexico 2020 484200521 Mexico 2005 Q1 LFS 484200522 Mexico 2005 Q2 LFS 484200523 Mexico 2005 Q3 LFS 484200524 Mexico 2005 Q4 LFS 484200621 Mexico 2006 Q1 LFS 484200622 Mexico 2006 Q2 LFS 484200623 Mexico 2006 Q3 LFS 484200624 Mexico 2006 Q4 LFS 484200721 Mexico 2007 Q1 LFS 484200722 Mexico 2007 Q2 LFS 484200723 Mexico 2007 Q3 LFS 484200724 Mexico 2007 Q4 LFS 484200821 Mexico 2008 Q1 LFS 484200822 Mexico 2008 Q2 LFS 484200823 Mexico 2008 Q3 LFS 484200824 Mexico 2008 Q4 LFS 484200921 Mexico 2009 Q1 LFS 484200922 Mexico 2009 Q2 LFS 484200923 Mexico 2009 Q3 LFS 484200924 Mexico 2009 Q4 LFS 484201021 Mexico 2010 Q1 LFS 484201022 Mexico 2010 Q2 LFS 484201023 Mexico 2010 Q3 LFS 484201024 Mexico 2010 Q4 LFS 484201121 Mexico 2011 Q1 LFS 484201122 Mexico 2011 Q2 LFS 484201123 Mexico 2011 Q3 LFS 484201124 Mexico 2011 Q4 LFS 484201221 Mexico 2012 Q1 LFS 484201222 Mexico 2012 Q2 LFS 484201223 Mexico 2012 Q3 LFS 484201224 Mexico 2012 Q4 LFS 484201321 Mexico 2013 Q1 LFS 484201322 Mexico 2013 Q2 LFS 484201323 Mexico 2013 Q3 LFS 484201324 Mexico 2013 Q4 LFS 484201421 Mexico 2014 Q1 LFS 484201422 Mexico 2014 Q2 LFS 484201423 Mexico 2014 Q3 LFS 484201424 Mexico 2014 Q4 LFS 484201521 Mexico 2015 Q1 LFS 484201522 Mexico 2015 Q2 LFS 484201523 Mexico 2015 Q3 LFS 484201524 Mexico 2015 Q4 LFS 484201621 Mexico 2016 Q1 LFS 484201622 Mexico 2016 Q2 LFS 484201623 Mexico 2016 Q3 LFS 484201624 Mexico 2016 Q4 LFS 484201721 Mexico 2017 Q1 LFS 484201722 Mexico 2017 Q2 LFS 484201723 Mexico 2017 Q3 LFS 484201724 Mexico 2017 Q4 LFS 484201821 Mexico 2018 Q1 LFS 484201822 Mexico 2018 Q2 LFS 484201823 Mexico 2018 Q3 LFS 484201824 Mexico 2018 Q4 LFS 484201921 Mexico 2019 Q1 LFS 484201922 Mexico 2019 Q2 LFS 484201923 Mexico 2019 Q3 LFS 484201924 Mexico 2019 Q4 LFS 484202021 Mexico 2020 Q1 LFS 484202023 Mexico 2020 Q3 LFS 496198901 Mongolia 1989 496200001 Mongolia 2000 496201001 Mongolia 2010 496202001 Mongolia 2020 504198201 Morocco 1982 504199401 Morocco 1994 504200401 Morocco 2004 504201401 Morocco 2014 508199701 Mozambique 1997 508200701 Mozambique 2007 508201701 Mozambique 2017 104201401 Myanmar 2014 524200101 Nepal 2001 524201101 Nepal 2011 528196001 Netherlands 1960 528197101 Netherlands 1971 528200101 Netherlands 2001 528201101 Netherlands 2011 558197101 Nicaragua 1971 558199501 Nicaragua 1995 558200501 Nicaragua 2005 566200621 Nigeria 2006 566200721 Nigeria 2007 566200821 Nigeria 2008 566200921 Nigeria 2009 566201021 Nigeria 2010 578180101 Norway 1801 578186501 Norway 1865 578187501 Norway 1875 578190001 Norway 1900 578191001 Norway 1910 586197301 Pakistan 1973 586198101 Pakistan 1981 586199801 Pakistan 1998 275199701 Palestine 1997 275200701 Palestine 2007 275201701 Palestine 2017 591196001 Panama 1960 591197001 Panama 1970 591198001 Panama 1980 591199001 Panama 1990 591200001 Panama 2000 591201001 Panama 2010 598198001 Papua New Guinea 1980 598199001 Papua New Guinea 1990 598200001 Papua New Guinea 2000 600196201 Paraguay 1962 600197201 Paraguay 1972 600198201 Paraguay 1982 600199201 Paraguay 1992 600200201 Paraguay 2002 604199301 Peru 1993 604200701 Peru 2007 604201701 Peru 2017 608199721 Philippines 1997 Q1 LFS 608199722 Philippines 1997 Q2 LFS 608199723 Philippines 1997 Q3 LFS 608199724 Philippines 1997 Q4 LFS 608199821 Philippines 1998 Q1 LFS 608199822 Philippines 1998 Q2 LFS 608199823 Philippines 1998 Q3 LFS 608199824 Philippines 1998 Q4 LFS 608199921 Philippines 1999 Q1 LFS 608199922 Philippines 1999 Q2 LFS 608199923 Philippines 1999 Q3 LFS 608199924 Philippines 1999 Q4 LFS 608200021 Philippines 2000 Q1 LFS 608200022 Philippines 2000 Q2 LFS 608200023 Philippines 2000 Q3 LFS 608200024 Philippines 2000 Q4 LFS 608200121 Philippines 2001 Q1 LFS 608200122 Philippines 2001 Q2 LFS 608200123 Philippines 2001 Q3 LFS 608200124 Philippines 2001 Q4 LFS 608200221 Philippines 2002 Q1 LFS 608200222 Philippines 2002 Q2 LFS 608200223 Philippines 2002 Q3 LFS 608200224 Philippines 2002 Q4 LFS 608200321 Philippines 2003 Q1 LFS 608200322 Philippines 2003 Q2 LFS 608200323 Philippines 2003 Q3 LFS 608200324 Philippines 2003 Q4 LFS 608200421 Philippines 2004 Q1 LFS 608200422 Philippines 2004 Q2 LFS 608200423 Philippines 2004 Q3 LFS 608200424 Philippines 2004 Q4 LFS 608200521 Philippines 2005 Q1 LFS 608200522 Philippines 2005 Q2 LFS 608200523 Philippines 2005 Q3 LFS 608200524 Philippines 2005 Q4 LFS 608200621 Philippines 2006 Q1 LFS 608200622 Philippines 2006 Q2 LFS 608200623 Philippines 2006 Q3 LFS 608200624 Philippines 2006 Q4 LFS 608200721 Philippines 2007 Q1 LFS 608200722 Philippines 2007 Q2 LFS 608200723 Philippines 2007 Q3 LFS 608200724 Philippines 2007 Q4 LFS 608200821 Philippines 2008 Q1 LFS 608200822 Philippines 2008 Q2 LFS 608200823 Philippines 2008 Q3 LFS 608200824 Philippines 2008 Q4 LFS 608200921 Philippines 2009 Q1 LFS 608200922 Philippines 2009 Q2 LFS 608200923 Philippines 2009 Q3 LFS 608200924 Philippines 2009 Q4 LFS 608201021 Philippines 2010 Q1 LFS 608201022 Philippines 2010 Q2 LFS 608201023 Philippines 2010 Q3 LFS 608201024 Philippines 2010 Q4 LFS 608201121 Philippines 2011 Q1 LFS 608201122 Philippines 2011 Q2 LFS 608201123 Philippines 2011 Q3 LFS 608201124 Philippines 2011 Q4 LFS 608201221 Philippines 2012 Q1 LFS 608201222 Philippines 2012 Q2 LFS 608201223 Philippines 2012 Q3 LFS 608201224 Philippines 2012 Q4 LFS 608201321 Philippines 2013 Q1 LFS 608201322 Philippines 2013 Q2 LFS 608201323 Philippines 2013 Q3 LFS 608201324 Philippines 2013 Q4 LFS 608201421 Philippines 2014 Q1 LFS 608201422 Philippines 2014 Q2 LFS 608201423 Philippines 2014 Q3 LFS 608201424 Philippines 2014 Q4 LFS 608201521 Philippines 2015 Q1 LFS 608201522 Philippines 2015 Q2 LFS 608201523 Philippines 2015 Q3 LFS 608201524 Philippines 2015 Q4 LFS 608201621 Philippines 2016 Q1 LFS 608201622 Philippines 2016 Q2 LFS 608201623 Philippines 2016 Q3 LFS 608201624 Philippines 2016 Q4 LFS 608201721 Philippines 2017 Q1 LFS 608201722 Philippines 2017 Q2 LFS 608201723 Philippines 2017 Q3 LFS 608201724 Philippines 2017 Q4 LFS 608201821 Philippines 2018 Q1 LFS 608201822 Philippines 2018 Q2 LFS 608201823 Philippines 2018 Q3 LFS 608201824 Philippines 2018 Q4 LFS 608201921 Philippines 2019 Q1 LFS 608201922 Philippines 2019 Q2 LFS 608201923 Philippines 2019 Q3 LFS 608199001 Philippines 1990 608199501 Philippines 1995 608200001 Philippines 2000 608201001 Philippines 2010 616197801 Poland 1978 616198801 Poland 1988 616200201 Poland 2002 616201101 Poland 2011 620198101 Portugal 1981 620199101 Portugal 1991 620200101 Portugal 2001 620201101 Portugal 2011 630197001 Puerto Rico 1970 630198001 Puerto Rico 1980 630199001 Puerto Rico 1990 630200001 Puerto Rico 2000 630200501 Puerto Rico 2005 630201001 Puerto Rico 2010 630201501 Puerto Rico 2015 630202001 Puerto Rico 2020 642197701 Romania 1977 642199201 Romania 1992 642200201 Romania 2002 642201101 Romania 2011 643200201 Russia 2002 643201001 Russia 2010 646199101 Rwanda 1991 646200201 Rwanda 2002 646201201 Rwanda 2012 662198001 Saint Lucia 1980 662199101 Saint Lucia 1991 686198801 Senegal 1988 686200201 Senegal 2002 686201301 Senegal 2013 694200401 Sierra Leone 2004 694201501 Sierra Leone 2015 703199101 Slovak Republic 1991 703200101 Slovak Republic 2001 703201101 Slovak Republic 2011 705200201 Slovenia 2002 710199601 South Africa 1996 710200101 South Africa 2001 710200701 South Africa 2007 710201101 South Africa 2011 710201601 South Africa 2016 728200801 South Sudan 2008 724198101 Spain 1981 724199101 Spain 1991 724200101 Spain 2001 724201101 Spain 2011 724200521 Spain 2005 Q1 LFS 724200522 Spain 2005 Q2 LFS 724200523 Spain 2005 Q3 LFS 724200524 Spain 2005 Q4 LFS 724200621 Spain 2006 Q1 LFS 724200622 Spain 2006 Q2 LFS 724200623 Spain 2006 Q3 LFS 724200624 Spain 2006 Q4 LFS 724200721 Spain 2007 Q1 LFS 724200722 Spain 2007 Q2 LFS 724200723 Spain 2007 Q3 LFS 724200724 Spain 2007 Q4 LFS 724200821 Spain 2008 Q1 LFS 724200822 Spain 2008 Q2 LFS 724200823 Spain 2008 Q3 LFS 724200824 Spain 2008 Q4 LFS 724200921 Spain 2009 Q1 LFS 724200922 Spain 2009 Q2 LFS 724200923 Spain 2009 Q3 LFS 724200924 Spain 2009 Q4 LFS 724201021 Spain 2010 Q1 LFS 724201022 Spain 2010 Q2 LFS 724201023 Spain 2010 Q3 LFS 724201024 Spain 2010 Q4 LFS 724201121 Spain 2011 Q1 LFS 724201122 Spain 2011 Q2 LFS 724201123 Spain 2011 Q3 LFS 724201124 Spain 2011 Q4 LFS 724201221 Spain 2012 Q1 LFS 724201222 Spain 2012 Q2 LFS 724201223 Spain 2012 Q3 LFS 724201224 Spain 2012 Q4 LFS 724201321 Spain 2013 Q1 LFS 724201322 Spain 2013 Q2 LFS 724201323 Spain 2013 Q3 LFS 724201324 Spain 2013 Q4 LFS 724201421 Spain 2014 Q1 LFS 724201422 Spain 2014 Q2 LFS 724201423 Spain 2014 Q3 LFS 724201424 Spain 2014 Q4 LFS 724201521 Spain 2015 Q1 LFS 724201522 Spain 2015 Q2 LFS 724201523 Spain 2015 Q3 LFS 724201524 Spain 2015 Q4 LFS 724201621 Spain 2016 Q1 LFS 724201622 Spain 2016 Q2 LFS 724201623 Spain 2016 Q3 LFS 724201624 Spain 2016 Q4 LFS 724201721 Spain 2017 Q1 LFS 724201722 Spain 2017 Q2 LFS 724201723 Spain 2017 Q3 LFS 724201724 Spain 2017 Q4 LFS 724201821 Spain 2018 Q1 LFS 724201822 Spain 2018 Q2 LFS 724201823 Spain 2018 Q3 LFS 724201824 Spain 2018 Q4 LFS 724201921 Spain 2019 Q1 LFS 724201922 Spain 2019 Q2 LFS 724201923 Spain 2019 Q3 LFS 724201924 Spain 2019 Q4 LFS 724202021 Spain 2020 Q1 LFS 724202022 Spain 2020 Q2 LFS 724202023 Spain 2020 Q3 LFS 724202024 Spain 2020 Q4 LFS 729200801 Sudan 2008 740200401 Suriname 2004 740201201 Suriname 2012 752188001 Sweden 1880 752189001 Sweden 1890 752190001 Sweden 1900 752191001 Sweden 1910 756197001 Switzerland 1970 756198001 Switzerland 1980 756199001 Switzerland 1990 756200001 Switzerland 2000 756201101 Switzerland 2011 834198801 Tanzania 1988 834200201 Tanzania 2002 834201201 Tanzania 2012 764197001 Thailand 1970 764198001 Thailand 1980 764199001 Thailand 1990 764200001 Thailand 2000 768196001 Togo 1960 768197001 Togo 1970 768201001 Togo 2010 780197001 Trinidad and Tobago 1970 780198001 Trinidad and Tobago 1980 780199001 Trinidad and Tobago 1990 780200001 Trinidad and Tobago 2000 780201101 Trinidad and Tobago 2011 792198501 Turkey 1985 792199001 Turkey 1990 792200001 Turkey 2000 800199101 Uganda 1991 800200201 Uganda 2002 800201401 Uganda 2014 804200101 Ukraine 2001 826185101 United Kingdom 1851 (England and Wales) 826185102 United Kingdom 1851 (Scotland) 826185103 United Kingdom 1851 (2% sample) 826186101 United Kingdom 1861 (England and Wales) 826186102 United Kingdom 1861 (Scotland) 826187101 United Kingdom 1871 (Scotland) 826188101 United Kingdom 1881 (England and Wales) 826188102 United Kingdom 1881 (Scotland) 826189101 United Kingdom 1891 (England and Wales) 826189102 United Kingdom 1891 (Scotland) 826190101 United Kingdom 1901 (England and Wales) 826190102 United Kingdom 1901 (Scotland) 826191101 United Kingdom 1911 (England and Wales) 826196101 United Kingdom 1961 826197101 United Kingdom 1971 826199101 United Kingdom 1991 826200101 United Kingdom 2001 840185001 United States 1850 (100%) 840185002 United States 1850 (1%) 840186001 United States 1860 (1%) 840187001 United States 1870 (1%) 840188001 United States 1880 (100%) 840188002 United States 1880 (10%) 840190001 United States 1900 (5%) 840191001 United States 1910 (1%) 840196001 United States 1960 840197001 United States 1970 840198001 United States 1980 840199001 United States 1990 840200001 United States 2000 840200501 United States 2005 840201001 United States 2010 840201501 United States 2015 840202001 United States 2020 858196301 Uruguay 1963 858196302 Uruguay 1963 (full count) 858197501 Uruguay 1975 858197502 Uruguay 1975 (full count) 858198501 Uruguay 1985 858198502 Uruguay 1985 (full count) 858199601 Uruguay 1996 858199602 Uruguay 1996 (full count) 858200621 Uruguay 2006 858201101 Uruguay 2011 858201102 Uruguay 2011 (full count) 862197101 Venezuela 1971 862198101 Venezuela 1981 862199001 Venezuela 1990 862200101 Venezuela 2001 704198901 Vietnam 1989 704199901 Vietnam 1999 704200901 Vietnam 2009 704201901 Vietnam 2019 894199001 Zambia 1990 894200001 Zambia 2000 894201001 Zambia 2010 716201201 Zimbabwe 2012 Technical Household Variables -- HOUSEHOLD Household serial number SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database. SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred: Chile 1970, 1992, 2002Colombia 1993, 2005Costa Rica 1984, 2000Cuba 2002Dominican Republic 1981, 2002, 2010Ecuador 1990, 2001Germany 1971Hungary 1980, 1990, 2001Jamaica 1982, 1991, 2001Malaysia 1970, 1991, 2000Mexico 1995, 1990, 2000, 2005Nigeria 2006Panama 2000Peru 1993, 2007Portugal 1981, 1991, 2001Spain 1991Uruguay 2011Venezuela 1990, 2001Vietnam 1989In all other samples, the last 3 digits are always zeroes. SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets. The U.S. 1900 sample and 1880 10% sample have multi-household dwellings that can be identified using the last 3 digits of SERIAL. SERIAL is a 10-digit numeric variable. The last 3 digits of SERIAL indicate household number within dwelling for selected samples noted in the variable description. In all other samples, the last 3 digits are always zeroes. Technical Household Variables -- HOUSEHOLD Number of person records in the household PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons. PERSONS is a 4-digit numeric variable. Technical Household Variables -- HOUSEHOLD Household weight HHWT indicates the number of households in the population represented by the household in the sample. For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics. NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Household Variables -- HOUSEHOLD Subsample number SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples. 00 1st 1% subsample 01 2nd 1% subsample 02 3rd 1% subsample 03 4th 1% subsample 04 5th 1% subsample 05 6th 1% subsample 06 7th 1% subsample 07 8th 1% subsample 08 9th 1% subsample 09 10th 1% subsample 10 11th 1% subsample 11 12th 1% subsample 12 13th 1% subsample 13 14th 1% subsample 14 15th 1% subsample 15 16th 1% subsample 16 17th 1% subsample 17 18th 1% subsample 18 19th 1% subsample 19 20th 1% subsample 20 21st 1% subsample 21 22nd 1% subsample 22 23rd 1% subsample 23 24th 1% subsample 24 25th 1% subsample 25 26th 1% subsample 26 27th 1% subsample 27 28th 1% subsample 28 29th 1% subsample 29 30th 1% subsample 30 31st 1% subsample 31 32nd 1% subsample 32 33rd 1% subsample 33 34th 1% subsample 34 35th 1% subsample 35 36th 1% subsample 36 37th 1% subsample 37 38th 1% subsample 38 39th 1% subsample 39 40th 1% subsample 40 41st 1% subsample 41 42nd 1% subsample 42 43rd 1% subsample 43 44th 1% subsample 44 45th 1% subsample 45 46th 1% subsample 46 47th 1% subsample 47 48th 1% subsample 48 49th 1% subsample 49 50th 1% subsample 50 51st 1% subsample 51 52nd 1% subsample 52 53rd 1% subsample 53 54th 1% subsample 54 55th 1% subsample 55 56th 1% subsample 56 57th 1% subsample 57 58th 1% subsample 58 59th 1% subsample 59 60th 1% subsample 60 61st 1% subsample 61 62nd 1% subsample 62 63rd 1% subsample 63 64th 1% subsample 64 65th 1% subsample 65 66th 1% subsample 66 67th 1% subsample 67 68th 1% subsample 68 69th 1% subsample 69 70th 1% subsample 70 71st 1% subsample 71 72nd 1% subsample 72 73rd 1% subsample 73 74th 1% subsample 74 75th 1% subsample 75 76th 1% subsample 76 77th 1% subsample 77 78th 1% subsample 78 79th 1% subsample 79 80th 1% subsample 80 81st 1% subsample 81 82nd 1% subsample 82 83rd 1% subsample 83 84th 1% subsample 84 85th 1% subsample 85 86th 1% subsample 86 87th 1% subsample 87 88th 1% subsample 88 89th 1% subsample 89 90th 1% subsample 90 91st 1% subsample 91 92nd 1% subsample 92 93rd 1% subsample 93 94th 1% subsample 94 95th 1% subsample 95 96th 1% subsample 96 97th 1% subsample 97 98th 1% subsample 98 99th 1% subsample 99 100th 1% subsample Technical Household Variables -- HOUSEHOLD Group quarters (collective dwelling) status GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools. Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification. Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions. 00 Vacant 10 Households 20 Group quarters (collective), n.s. 21 Institutions 22 Other group quarters 29 1-person unit created by splitting large household 99 Unknown/group quarters not identified Group Quarters Variables -- HOUSEHOLD 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 1st subnational geographic level, world [consistent boundaries over time] GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV1 is a 6-digit numeric variable. GEOLEV1 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO1_BR. Geography: Global Variables -- HOUSEHOLD 2nd subnational geographic level, world [consistent boundaries over time] GEOLEV2 indicates the second major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. Second administrative units in GEOLEV2 have been spatio-temporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV2 is a 9-digit numeric variable. GEOLEV2 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO2_BR. Geography: Global Variables -- HOUSEHOLD Population density of GEOLEV1 unit, in persons per square kilometer POPDENSGEO1 indicates the population density in persons per square kilometer of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO1 is an 8-digit numeric variable listing the population density in persons per square kilometer. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Population density of GEOLEV2 unit, in persons per square kilometer POPDENSGEO2 indicates the population density in persons per square kilometer of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO2 is a 12-digit numeric variable listing the population density in persons per square kilometer. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Area of GEOLEV1 unit in square kilometers AREAMOLLWGEO1 indicates the area in square kilometers of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO1 is a 10-digit numeric variable listing the area in square kilometers. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Area of GEOLEV2 unit in square kilometers AREAMOLLWGEO2 indicates the area in square kilometers of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO2 is a 10-digit numeric variable listing the area in square kilometers. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Paraguay, Department 1962 - 2002 [Level 1; consistent boundaries, GIS] GEO1_PY identifies the household's department within Paraguay in all sample years. Departments are the first level administrative units of the country. GEO1_PY is spatially harmonized accounting for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO1_PY can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Paraguay 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. 600001 Concepción 600002 San Pedro 600003 Cordillera 600004 Guaira 600005 Caaguazú, Canindeyú, Alto Paraná 600006 Caazapá 600007 Itapúa 600008 Misiones, Ñeembucú 600009 Paraguarí 600011 Central 600013 Amambay 600015 Alto Paraguay, Boquerón, Presidente Hayes 600019 Asunción 600099 Unknown Geography: O-Z Variables -- HOUSEHOLD Paraguay, Department 1962 [Level 1, GIS] GEO1_PY1962 identifies the household’s department within Paraguay in 1962. Departments are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_PY1962 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Paraguay 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. 000 Asunción 001 Concepción 002 San Pedro 003 Cordillera 004 Guairá 005 Caaguazú 006 Caazapá 007 Itapúa 008 Misiones 009 Paraguarí 010 Alto Paraná 011 Central 012 Ñeembucú 013 Amambay 014 Presidente Hayes 015 Boquerón, Olimpo 099 Unknown Geography: O-Z Variables -- HOUSEHOLD Paraguay, District 1962 - 2002 [Level 2; consistent boundaries, GIS] GEO2_PY identifies the household's districts within Paraguay in all sample years. Districts are the second level administrative units of the country, after departments. GEO2_PY is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO2_PY can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Paraguay 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. 600001001 Belen, Horqueta, Loreto, Yby Yaú 600001002 Concepción, San Lázaro 600001999 Concepcion department, district unknown 600002001 25 de Diciembre, Choré, San Estanislao, Unión, Yataity del Norte, Guayaibi, Capiibary 600002002 San Pedro del Ycuamandiyu, Antequera, San Pablo 600002003 Tacuatí, Nueva Germania, Santa Rosa del Aguaray 600002004 General Isidoro Resquín, Lima 600002005 Itacurubi del Rosario, Villa del Rosario 600002006 General Elizardo Aquino 600002999 San Pedro department, unknown district 600003001 Altos, Atyrá, Caacupé, Loma Grande, Piribebuy 600003002 Primero de Marzo, Caraguatay, Isla Pucú, Juan de Mena, Mbocayaty del Yhaguy, San Jose Obrero, Santa Elena, Tobatí 600003003 Eusebio Ayala, Itacurubí de la Cordillera, Valenzuela 600003004 Arroyos y Esteros, Nueva Colombia 600003005 Emboscada, San Bernardino 600003999 Cordillera department, unknown district 600004001 Borja, Capitán Mauricio José, Coronel Martínez, Doctor Bottrell, General Eugenio A. Gar, Itapé, Iturbe, Mbocayaty, Natalicio Talavera, Ñumí, San Salvador, Villarrica, Félix Pérez Cardozo, Yataity, Jose Fasardi, Paso Yobai, Colonia Indepen 600004999 Guairá department, unknown district 600005001 C. del Este, Irala, Hernandarias, Itakyry, L. Cedrales, Mbaracayú, M. Guazú, M. Pora, Ñacunday, Naranjal, P. Franco, S. Alberto, S. Cristóbal, S. Rita, S. R. del Monday, C. Christi, Iruña N. Espe, Katuete, La Paloma, G. F. C. A, S. Del Guaira 600005002 3 de Feb, Caaguazú, Carayaó, D. C. Báez, C. Oviedo, Dr. J. E. Est, J. D. Oc, Dr. J. M. Frut, La Pastora, N. Lond, R.I. 3 Corr, R. A. Oviedo, Repatriación, S. Joaquín, S. J. de los Arro, S. Bol, S. R. del Mbu, Yhú 3 de Febrero, M. F. Sol, Vaquería 600005003 Curuguaty 600005004 Juan Emilio O'Leary, Doctor Juan León Mallorquín, Yguazú 600005005 Itanará, Villa Igatimi, Ypejhú 600005999 Caaguazú department, unknown district 600006001 Doctor Moisés S. Bertoni, Fulgencio Yegros, Maciel, Yuty 600006002 Abaí, Tavai 600006003 General Higinio Morínigo, San Juan Nepomuceno 600006004 Buena Vista, Caazapá 600006999 Caazapá department, unknown district 600007001 Carlos Antonio Lopez, Edelira, Mayor Julio D. Otaño, San Rafael del Paraná, Capitán Meza, Yatytay, Tomás Romero Pereira, Natalio, Itapua Poty, Pirapo, Bella Vista 600007002 Encarnación, San Juan del Parana 600007003 Alto Vera, San Pedro del Paraná, Jose Leandro Oviedo 600007004 Fram, General Artigas, General Delgado, La Paz, San Cosme y Damian 600007005 Cambyretá 600007006 Nueva Alborada, Hohenau, Obligado 600007007 Carmen del Paraná, Coronel Bogado 600007008 Capitán Miranda, Jesús, Trinidad 600007999 Itapúa department, unknown 600008001 Yabebyry, Cerrito, General José Eduvigis Díaz, Humaitá, Isla Umbu, Laureles, Mayor José J. Martínez, Paso de Patria, Guazú Cuá , Villalbin, Desmochados, Tacuaras 600008002 San Ignacio, San Miguel, Santa María 600008004 San Juan Bautista de las Misiones, Villa Florida, Alberdi, San Juan Bautista de Ñeembucú, Villa Franca, Villa Oliva 600008005 Ayolas, Santiago 600008006 San Patricio, Santa Rosa 600008008 Pilar 600008999 Misiones, Ñeembucú department, district unknown 600009001 Acahay, Carapeguá, Quiíndy, San Roque González de Santa Cruz 600009002 Caapucú, La Colmena, Mbuyapey, Quyquyhó, Tebicuarymí, Ybycuí 600009003 Paraguarí, Pirayú 600009004 Escobar, General Bernardino Caballero, Sapucaí, Ybytimí 600009005 Yaguarón 600009999 Paraguari department, unknown district 600011001 San Lorenzo 600011002 Capiatá, Juan Augusto Saldívar 600011003 Luque 600011004 Lambaré 600011005 Fernando de la Mora 600011006 Limpio 600011007 Ñemby 600011008 Itá, Ypacaraí 600011009 Mariano Roque Alonso 600011010 Itauguá 600011011 Villa Elisa 600011012 Areguá 600011013 Guarambaré, Ypané 600011014 San Antonio 600011015 Nueva Italia, Villeta 600013001 Capitán Bado, Pedro Juan Caballero, Bella Vista 600015001 La Victoria, Benjamín Aceval, Puerto Pinasco, Villa Hayes, Mariscal José Félix Estigarribia, Fuerte Olimpo, Nanawa, José Falcón 600015999 Alto Paraguay, Boquerón, Presidente Hayes, district unknown 600019001 Asunción 600099099 Unknown Geography: O-Z Variables -- HOUSEHOLD Paraguay, District 1962 [Level 2, GIS] GEO2_PY1962 indicates the household’s districts within Paraguay in 1962. Districts are the second level administrative units of the country, after departments. A GIS map (in shapefile format), corresponding to GEO2_PY1962 can be downloaded from the GIS Boundary files page in the IPUMS International web site The full set of geography variables for Paraguay 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. 000000 Asunción 001001 Concepción, San Carlos, San Lázaro 001002 Horqueta, Belén 001004 Loreto 001099 Concepción department, unknown district 002001 San Pedro, Antequera 002003 Rosario, Itacurubí del Rosario 002006 San Estanislao, Unión, Tacuatí, Nueva Germania, Lima 002008 General Elizardo Aquino 002099 San Pedro department, unknown district 003001 Caacupé 003003 Tobatí 003004 Altos, Atyrá 003006 Emboscada, San Bernardino 003007 Arroyos y Esteros, Nueva Colombia 003008 Eusebio Ayala 003009 Caraguatay, Juan de Mena, Primero de Marzo, Isla Pucú 003011 Santa Elena 003014 Piribebuy 003017 Valenzuela, Itacurubí de la Cordillera 003099 Cordillera department, unknown district 004001 Villarrica, Mbocayaty, Yataity 004004 Coronel Martínez, Félix Pérez Cardozo, Itapé 004007 Borja, San Salvador 004009 General Eugenio A. Garay, José Fassardi 004011 Independencia 004012 Ñumi, Iturbe 004014 Mauricio José Troche, Natalicio Talavera 004099 Guairá department, unknown district 005001 Coronel Oviedo 005002 San José 005003 Caaguazú 005006 Cecilio Baez(Dr.), San Joaquín 005011 Yhú, Carayao, Nueva Australia, Igatimí, Ypejhú, Curuguaty 005091 Doctor Juan Manuel Frutos 005092 Santa Rosa del Mbutuy 005099 Caaguazú department, unknown district 006001 Caazapá, Buena Vista 006003 Moisés S. Bertoni (Dr.), Yegros, Maciel 006004 San Juan Nepomuceno, General Higinio Morinigo, Abaí, Tabaí 006008 Yuty 006099 Caazapá department, unknown district 007001 Encarnación 007006 Coronel Bogado, Carmen del Paraná 007007 Fram, General Artigas 007008 Hohenau, Capitán Vicente A. Matiauda, Obligado, Capitán Meza, Bella Vista del Alto Paraná 007009 San Cosme, General Delgado 007011 San Pedro del Paraná 007015 Trinidad, Capitán Miranda, Jesús, Cambyretá 007099 Itapúa department, unknown district 008001 San Juan Bautista, Florida 008002 San Ignacio, Santa María, San Miguel 008005 Santa Rosa, San Patricio, Santiago, Ayolas 008099 Misiones department, unknown district 009001 Paraguarí 009002 Pirayú 009003 Carapeguá 009004 Roque González de Santa Cruz 009005 Quiíndy 009007 Acahay 009011 Ybytimí, Caballero 009012 Escobar, Sapucai 009015 Caapucú, Quyquyhó, Mbuyapey 009016 Yaguarón 009017 Ybycuí, La Colmena, Tebicuary mí 009099 Paraguari department, unknown district 010001 Irala, Hernandarias, Ciudad del Este, Presidente Franco 010002 Ñacunday 010093 Itakyry 010094 Juan E. O'leary 010095 Doctor Juan Leon Mallo 010096 Yguazu 011003 Capiatá 011004 Fernando de la Mora 011005 Ypané, Guarambaré 011006 Itá, Ypacaraí 011007 Itauguá, Areguá 011008 Luque 011009 Limpio, Mariano Roque Alonso 011011 San Lorenzo 011014 Villeta, Nueva Italia 011018 Lambaré, Villa Elisa, San Antonio 011098 Ñemby 011099 Central department, unknown district 012001 Pilar, Isla Umbú, Desmochados 012005 San J.Bautista de Ñeembucú, Franca, Tacuaras, Alberdi, Oliva 012012 General José Eduvigis Díaz, Humaitá, Paso de Patria, Pedro González 012013 Laureles, Cerrito, Guazú cuá, Yabebyry 012099 Ñeembucú department, unknown district 013001 Pedro Juan Caballero, Bella Vista, Capitán Bado 014001 Villa Hayes, Benjamín Aceval 014099 Presidente Hayes department, unknown district 015001 Mariscal Estigarribia 015002 Puerto Pinasco, Olimpo 015097 General Eugenio A. Gar 015098 Doctor Pedro P. Peña 015099 Boquerón department, unknown district 099099 Unknown Geography: O-Z 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 Paraguay 1962: All records This variable indicates the dwelling number. This is a 5-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Number of persons in household Paraguay 1962: All records This variable indicates the number of persons in the household. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 28 30 30 Technical Household Variables -- HOUSEHOLD Number of spouses in household Paraguay 1962: All records This variable indicates the number of spouses in the household. 0 Zero 1 One 2 Two or more Technical Household Variables -- HOUSEHOLD Dwelling created by splitting apart a large dwelling or household Paraguay 1962: All records This variable indicates a dwelling was 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 Dwelling created by splitting apart a fragment household Paraguay 1962: All records This variable indicates that a dwelling was created by splitting apart a fragment household. 0 No 1 Yes (dwelling fragment) Technical Household Variables -- HOUSEHOLD Urban area type <span class="h2">A. Geographic location</span></p> <p><svar v="PY60A020 PY60A021" a="all">Category:<br /><div class="i1">[] 1 City [Urban]<br />[] 2 Town [Urban]<br /><br />[Repetition of "1" and "2" in the original.]<br /><br />[] 1 Hamlet [<span class="lang">caserio</span>]<br />[] 2 Small village or settlement [<span class="lang">paraje</span>]<br />[] 3 Estate [<span class="lang">estancia</span>]<br />[] 4 Post<br />[] 5 Indian settlement [<span class="lang">toldería</span>]<br />[] 6 Others (specify) ____</div><br /></svar> Paraguay 1962: Households in urban areas [discrepancies: not verifiable] This variable indicates whether the household is located in an urban area. 1 City 2 Town 8 Unknown 9 NIU (not in universe) Geography: O-Z Variables -- HOUSEHOLD Rural area type <span class="h2">A. Geographic location</span></p> <p><svar v="PY60A020 PY60A021" a="all">Category:<br /><div class="i1">[] 1 City [Urban]<br />[] 2 Town [Urban]<br /><br />[Repetition of "1" and "2" in the original.]<br /><br />[] 1 Hamlet [<span class="lang">caserio</span>]<br />[] 2 Small village or settlement [<span class="lang">paraje</span>]<br />[] 3 Estate [<span class="lang">estancia</span>]<br />[] 4 Post<br />[] 5 Indian settlement [<span class="lang">toldería</span>]<br />[] 6 Others (specify) ____</div><br /></svar> Paraguay 1962: Households in rural areas [discrepancies: type I trace; type II none] This variable indicates whether the household is located in a rural area. 1 Hamlet 2 Site 3 Estate (ranch, farm, plantation, mansion) 4 Outpost 5 Other 8 Unknown 9 NIU (not in universe) Geography: O-Z Variables -- HOUSEHOLD Urban/Rural <span class="h2">A. Geographic location</span></p> <p><svar v="PY60A020 PY60A021" a="all">Category:<br /><div class="i1">[] 1 City [Urban]<br />[] 2 Town [Urban]<br /><br />[Repetition of "1" and "2" in the original.]<br /><br />[] 1 Hamlet [<span class="lang">caserio</span>]<br />[] 2 Small village or settlement [<span class="lang">paraje</span>]<br />[] 3 Estate [<span class="lang">estancia</span>]<br />[] 4 Post<br />[] 5 Indian settlement [<span class="lang">toldería</span>]<br />[] 6 Others (specify) ____</div><br /></svar> Paraguay 1962: All households This variable indicates whether the household is located in an urban or rural area. 1 Urban 2 Rural 9 Unknown Geography: O-Z Variables -- HOUSEHOLD Type of dwelling <svar v="PY60A411" a="all">IX.<br /><div class="i1">[] 1 Private dwelling<br />[] 2 Group quarters</div><br /></svar> 43 - Dwelling. Any premise or enclosure [<span class="lang">recinto</span>, compound] structurally separate and independent, which has been constructed, made, converted, or arranged for the purpose of permanent or temporary lodging for people, as well as any type of shelter, fixed or mobile, occupied as a place of dwelling on the date of the census. Therefore, the dwelling can be constituted by: </p> <p>a) A house, apartment, floor, room or group of rooms, hut [<span class="lang">rancho</span>], etc. independent, set apart to give lodging to a group of people or a single person; <br />b) A boat, vehicle, railroad car, tent, etc., as well as any other type of shelter (barn, garage), occupied as a place of lodging on the date of the census.</p> <p>44 - Private dwelling. Is one used, or meant to be used, as a living space or domicile separate and independent, by a family, or other group of persons with or without family ties but who live together under a family structure, or by one person who lives alone.</p> <p>45 - Collective dwelling. Is one used or meant to be used as a place of dwelling by a group of persons among whom there are not always family ties and who generally live a communal life for reasons of punishment, health, teaching, military or religious life, work or others, such as: reformatories, barracks, hospitals, boarding schools, hotels, convents, boarding houses, elderly homes, work camps, etc.</p> <p>46 - a) Boarding houses. A family dwelling in which boarders lodge (including those who pay only for the habitation) will continue to be considered a family [dwelling] if the total number of boarders is five or less, but if the total number of boarders is six or more, the dwelling will be classified as group quarters.</p> <p>47 - If in a group quarters, for example, an insane asylum or hospital, there exists one or more units of habitation in which the director or any other official lives, with their family, such units shall be considered private dwellings.</p> <p>48 - b) Dwellings in buildings not specifically designated for habitation. Buildings exclusively designated for commercial, industrial or service purposes, such as stores, warehouses, storage units, factories, etc., will not be considered a dwellings, unless within them exists an apartment, room or group of rooms, occupied as a dwelling by the owner, or the watchperson, or the doorman, etc. with or without their family. In this case, the part occupied by the person or persons mentioned shall be considered a dwelling.</p> <p>49 - Census household. The census household refers to all groups of people with or without family ties, who live together under a family regimen for reasons of discipline, health, religious or military life, teaching, etc. <br />This general definition implies the distinction between the following two basic categories:</p> <p>a) The private household; <br />b) The group quarters.</p> <p>50 - Private household. The private household includes all the resident members of a private or family dwelling who live together, under a family regimen and is constituted in the majority of cases by the head of family, the family members of this person (wife or partner, children, grandchildren, nieces and nephews, etc.), visitors, guests, boarders, domestic servants and all other occupants. </p> <p>51 - If there are five boarders or less in the private household, it will continue being considered private, but if the number be of six or more, it will be considered collective. </p> <p>52 - A person who lives alone in a dwelling also constitutes a private household. </p> <p>53 - Group quarters [<span class="lang">Colectividad</span>]. A group quarters includes all the inhabitants of a collective dwelling who generally do not have family ties among them but who live a communal life for reasons of health, discipline, religious life, etc. Families with six or more boarders are also considered as non-family groups. Paraguay 1962: All households This variable indicates the type of dwelling. 1 Private household 2 Collective 9 Unknown Group Quarters 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 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 Department of birth, Paraguay BPLPY1 indicates the department in Paraguay in which the person was born. 01 Concepción 02 San Pedro 03 Cordillera 04 Guairá 05 Caaguazú 06 Caazapá 07 Itapúa 08 Misiones 09 Paraguarí 10 Alto Paraná 11 Central 12 Ñeembucú 13 Amambay 14 Canindeyú 15 Presidente Hayes 16 Boquerón 17 Alto Paraguay 18 Asunción 30 Olimpo 50 Foreign Country 98 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 Language, Paraguay LANGPY indicates the language or languages spoken by the respondent. 00 NIU (not in universe) 10 Guaraní 20 Spanish 30 Guaraní and Spanish 40 Other language(s), foreign or indigenous 99 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, Paraguay EDUCPY indicates the person's educational attainment in Paraguay in terms of the level of schooling completed. 000 NIU (not in universe) 010 No education 020 Preschool 030 Special education 041 Basic adult education, year 1 042 Basic adult education, year 2 043 Basic adult education, year 3 051 Primary, grade 1 052 Primary, grade 2 053 Primary, grade 3 054 Primary, grade 4 055 Primary, grade 5 056 Primary, grade 6 057 Primary, grade 7 (new system) 058 Primary, grade 8 (new system) 059 Primary, grade 9 (new system) 060 Primary, grade unknown 071 Basic (Middle), grade 1 072 Basic (Middle), grade 2 073 Basic (Middle), grade 3 074 Basic (Middle), grade unknown 081 General or academic secondary, grade 4 082 General or academic secondary, grade 5 083 General or academic secondary, grade 6 084 General or academic secondary, grade unknown 091 Commercial/vocational, year 1 092 Commercial/vocational, year 2 093 Commercial/vocational, year 3 094 Commercial/vocational, year 4 095 Commercial/vocational, year 5 096 Commercial/vocational, year 6 097 Commercial/vocational, year unknown 101 Teacher training, year 1 102 Teacher training, year 2 103 Teacher training, year 3 104 Teacher training, year 4 105 Teacher training, year 5 106 Teacher training, year 6 107 Teacher training, year 7 or more 108 Teacher training, year unknown 111 Post secondary education, year 1 112 Post secondary education, year 2 113 Post secondary education, year 3 114 Post secondary education, year 4 115 Post secondary education, year unknown 201 Higher education, year 1 202 Higher education, year 2 203 Higher education, year 3 204 Higher education, year 4 205 Higher education, year 5 206 Higher education, year 6 207 Higher education, year unknown 300 Other 301 Other, year 1 302 Other, year 2 303 Other, year 3 304 Other, year 4 or more 998 Unknown Education Variables -- PERSON Activity status (employment status) [general version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 0 NIU (not in universe) 1 Employed 2 Unemployed 3 Inactive 9 Unknown/missing Work Variables -- PERSON Activity status (employment status) [detailed version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 000 NIU (not in universe) 100 Employed, not specified 110 At work 111 At work, and 'student' 112 At work, and 'housework' 113 At work, and 'seeking work' 114 At work, and 'retired' 115 At work, and 'no work' 116 At work, and other situation 117 At work, family holding, not specified 118 At work, family holding, not agricultural 119 At work, family holding, agricultural 120 Have job, not at work in reference period 130 Armed forces 131 Armed forces, at work 132 Armed forces, not at work in reference period 133 Military trainee 140 Marginally employed 200 Unemployed, not specified 201 Unemployed 6 or more months 202 Worked fewer than 6 months, permanent job 203 Worked fewer than 6 months, temporary job 210 Unemployed, experienced worker 220 Unemployed, new worker 230 No work available 240 Inactive unemployed 300 Inactive (not in labor force) 301 Unavailable jobseekers 302 Available potential jobseekers 310 Housework 320 Health reasons, unable to work, or disabled 321 Permanent disability 322 Temporary illness 323 Disabled or imprisoned 330 In school 340 Retirees and living on rent 341 Living on rents 342 Living on rents or pension 343 Retirees/pensioners 344 Retired 345 Pensioner 346 Non-retirement pension 347 Disability pension 348 Retired without benefits 350 Elderly 351 Elderly or disabled 360 Institutionalized 361 Prisoner 370 Intermittent worker 371 Not working, seasonal worker 372 Not working, occasional worker 380 Other income recipient 390 Inactive, other reasons 391 Too young to work 392 Dependent 999 Unknown/missing Work Variables -- PERSON Labor force participation LABFORCE is a dichotomous variable identifying whether a person participated in the labor force. Labor force participation generally means working or seeking work within a specified reference period. For most samples LABFORCE is a recode of EMPSTAT (employment status). A consistent lower age universe of 15 or older has been applied to increase comparability across samples. Full detail is retained in EMPSTAT, which should be used for any study of child labor. 1 No, not in the labor force 2 Yes, in the labor force 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Occupation, ISCO general OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money. 01 Legislators, senior officials and managers 02 Professionals 03 Technicians and associate professionals 04 Clerks 05 Service workers and shop and market sales 06 Skilled agricultural and fishery workers 07 Crafts and related trades workers 08 Plant and machine operators and assemblers 09 Elementary occupations 10 Armed forces 11 Other occupations, unspecified or n.e.c. 97 Response suppressed 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Occupation, unrecoded OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census. To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses. OCC is a 4-digit numeric variable. Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Argentina 1970 - see Variable: AR1970A_OCC3 - Occupation [3 digit] Argentina 1980 - see Variable: AR1980A_OCC - Occupation Argentina 1991 - see Variable: AR1991A_OCC - Occupation Argentina 2001 - see Variable: AR2001A_OCC4 - Occupation (4-digits) Armenia 2011 - see Variable: AM2011A_OCC - Occupation Austria 1971 - see Variable: AT1971A_OCCSM - Occupation of supporter: sub-major groups Austria 1981 - see Variable: AT1981A_OCCSM - Occupation of supporter: sub-major groups Austria 1991 - see Variable: AT1991A_OCCSM - Occupation of supporter: sub-major groups Austria 2001 - see Variable: AT2001A_OCCSM - Occupation of supporter: sub-major groups Belarus 1999 - see Variable: BY1999A_OCC2 - Occupation, 2 digits Belarus 2009 - see Variable: BY2009A_OCC - Occupation Benin 1979 - see Variable: BJ1979A_OCC - Occupation (2-digits) Benin 1992 - see Variable: BJ1992A_OCC3 - Occupation (3-digits) Benin 2002 - see Variable: BJ2002A_OCC - Occupation (3-digits) Benin 2013 - see Variable: BJ2013A_OCC - Occupation (3-digit) Bolivia 1976 - see Variable: BO1976A_OCC2 - Occupation, 2 digits Bolivia 1992 - see Variable: BO1992A_OCC - Occupation Bolivia 2001 - see Variable: BO2001A_OCC - Occupation, 3 digits Bolivia 2012 - see Variable: BO2012A_OCC2 - Occupation (3 digit) Botswana 1981 - see Variable: BW1981A_OCC - Occupation Botswana 1991 - see Variable: BW1991A_OCC - Occupation (last 30 days) Botswana 2001 - see Variable: BW2001A_OCC - Occupation in the past 7 days, 3 digit Botswana 2011 - see Variable: BW2011A_OCC - Occupation, 3-digits Brazil 1960 - see Variable: BR1960A_USUALOCC - Usual occupation Brazil 1970 - see Variable: BR1970A_MAINOCC - Principal occupation Brazil 1980 - see Variable: BR1980A_OCC - Occupation Brazil 1991 - see Variable: BR1991A_OCC - Occupation Brazil 2000 - see Variable: BR2000A_OCC - Occupation, 4 digits Brazil 2010 - see Variable: BR2010A_OCC - Occupation held from July 25 to July 31, 2010 Burkina Faso 1985 - see Variable: BF1985A_OCC - Principal occupation Burkina Faso 1996 - see Variable: BF1996A_OCC - Principal occupation Cambodia 1998 - see Variable: KH1998A_OCC - Occupation Cambodia 2004 - see Variable: KH2004A_OCC3 - Occupation (3-digits) Cambodia 2008 - see Variable: KH2008A_OCC - Occupation Cambodia 2013 - see Variable: KH2013A_OCC - Occupation (3-digits) Cambodia 2019 - see Variable: KH2019A_OCC1 - Occupation, 1-digit Cameroon 1976 - see Variable: CM1976A_OCC2 - Occupation (2 digits) Cameroon 2005 - see Variable: CM2005A_OCC - Occupation Canada 1971 - see Variable: CA1971A_OCC - Occupation Canada 1981 - see Variable: CA1981A_OCC - Occupation (1981 classification basis) Canada 1991 - see Variable: CA1991A_OCC80 - Occupation (1980 classification basis) Canada 2001 - see Variable: CA2001A_NOCS01P - Occupation (2001 national occupational classification for statistics) Canada 2011 - see Variable: CA2011A_OCC - Occupation Chile 1960 - see Variable: CL1960A_OCC - Occupation Chile 1970 - see Variable: CL1970A_OCC3 - Occupation (3-digit) Chile 1982 - see Variable: CL1982A_OCC3 - Occupation (3-digit) Chile 1992 - see Variable: CL1992A_OCC3 - Occupation (3-digit) Chile 2002 - see Variable: CL2002A_OCC - Occupation China 1982 - see Variable: CN1982A_OCC - Occupation China 1990 - see Variable: CN1990A_OCC - Occupation China 2000 - see Variable: CN2000A_OCC - Occupation (2-digit) Colombia 1964 - see Variable: CO1964A_OCC2 - Occupation (COTA, 4 digits) Colombia 1973 - see Variable: CO1973A_OCC - Occupation last week Costa Rica 1973 - see Variable: CR1973A_OCC3 - Occupation, 3 digits Costa Rica 1984 - see Variable: CR1984A_OCC - Occupation, 3 digits Costa Rica 2000 - see Variable: CR2000A_OCC3 - Occupation, 3 digits Costa Rica 2011 - see Variable: CR2011A_OCC - Occupation, 2-digit Cuba 2002 - see Variable: CU2002A_OCC - Occupation Cuba 2012 - see Variable: CU2012A_OCC3 - Main occupation (3-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_OCC2 - Current occupation (2-digit) Dominican Republic 1960 - see Variable: DO1960A_OCC - Occupation Dominican Republic 1970 - see Variable: DO1970A_OCC1 - Current occupation, 3 digits Dominican Republic 1981 - see Variable: DO1981A_OCC - Occupation Dominican Republic 2002 - see Variable: DO2002A_OCC - Occupation Dominican Republic 2010 - see Variable: DO2010A_OCC - Occupation Ecuador 1962 - see Variable: EC1962A_OCC - Occupation Ecuador 1974 - see Variable: EC1974A_OCC3 - Occupation, three digits Ecuador 1982 - see Variable: EC1982A_OCC3 - Occupation, 3 digits Ecuador 1990 - see Variable: EC1990A_OCC3 - Occupation, 3 digits Ecuador 2001 - see Variable: EC2001A_OCC - Occupation, 3 digits Ecuador 2010 - see Variable: EC2010A_OCC3 - Occupation (3 digits, ISCO 08) Egypt 1986 - see Variable: EG1986A_OCC3 - Occupation (3-digit) Egypt 2006 - see Variable: EG2006A_OCC - Primary occupation, 3-digit El Salvador 1992 - see Variable: SV1992A_OCC - Occupation (3-digit) El Salvador 2007 - see Variable: SV2007A_OCC3DIG - Occupation (3-digit) Ethiopia 1984 - see Variable: ET1984A_OCC2 - Occupation (2-digit) Ethiopia 1994 - see Variable: ET1994A_OCC - Occupation Fiji 1976 - see Variable: FJ1976A_OCC - Occupation Fiji 1986 - see Variable: FJ1986A_OCC - Occupation Fiji 1996 - see Variable: FJ1996A_OCC3 - Occupation (3 digits) Fiji 2007 - see Variable: FJ2007A_OCC3 - Occupation, 3 digits Fiji 2014 - see Variable: FJ2014A_OCC3 - Occupation (3 digits) Finland 2010 - see Variable: FI2010A_OCC - Occupation France 1962 - see Variable: FR1962A_SOCCUP - SAPHIR occupation France 1968 - see Variable: FR1968A_SOCC - SAPHIR occupation France 1975 - see Variable: FR1975A_SOCC - SAPHIR occupation France 1982 - see Variable: FR1982A_SOCC - SAPHIR occupation France 1990 - see Variable: FR1990A_SOCC - Saphir occupation France 1999 - see Variable: FR1999A_OCC - Occupation, ISCO France 2006 - see Variable: FR2006A_PROF486 - Detailed profession (4-digit) France 2011 - see Variable: FR2011A_PROF - Profession, 486 categories Germany 1970 - see Variable: DE1970A_OCC - Occupation Germany 1981 - see Variable: DE1981A_OCC - Occupation Germany 1987 - see Variable: DE1987A_OCC - Occupation Ghana 1984 - see Variable: GH1984A_OCC2 - Occupation, 2 digits Ghana 2000 - see Variable: GH2000A_OCC - Occupation Ghana 2010 - see Variable: GH2010A_OCC - Occupation (major groups) Greece 1971 - see Variable: GR1971A_OCC - Occupation Greece 1981 - see Variable: GR1981A_OCC - Occupation Greece 1991 - see Variable: GR1991A_OCC - Occupation Greece 2001 - see Variable: GR2001A_OCC - Occupation Greece 2011 - see Variable: GR2011A_OCC - Occupation Guatemala 1964 - see Variable: GT1964A_OCC3 - Occupation (3-digits) Guatemala 1973 - see Variable: GT1973A_OCC3 - Principal occupation (3-digits) Guatemala 1981 - see Variable: GT1981A_OCC3 - Principal occupation (3-digits) Guatemala 1994 - see Variable: GT1994A_OCC - Principal occupation (1-digit) Guatemala 2002 - see Variable: GT2002A_OCC3 - Principal occupation (3-digits) Guinea 1983 - see Variable: GN1983A_OCC2 - Occupation, 2 digits Guinea 1996 - see Variable: GN1996A_OCC - Occupation Guinea 2014 - see Variable: GN2014A_OCC - Occupation (3-digit) Haiti 1982 - see Variable: HT1982A_OCC - Main occupation or profession Haiti 2003 - see Variable: HT2003A_OCC2 - Occupation, 3 digits Honduras 1961 - see Variable: HN1961A_OCC - Occupation (2-digits) Honduras 1974 - see Variable: HN1974A_OCC2 - Occupation (3-digits) Honduras 1988 - see Variable: HN1988A_OCC4 - Occupation (4-digits) Honduras 2001 - see Variable: HN2001A_OCC - Occupation (4-digit) Honduras 2013 - see Variable: HN2013A_OCC3 - Occupation (3-digit) Hungary 1970 - see Variable: HU1970A_OCC - Occupation Hungary 1980 - see Variable: HU1980A_OCC - Occupation, scope of activity Hungary 1990 - see Variable: HU1990A_OCC - Occupation Hungary 2001 - see Variable: HU2001A_OCC - Occupation Hungary 2011 - see Variable: HU2011A_OCC - Occupation Indonesia 1971 - see Variable: ID1971A_OCC - Occupation Indonesia 1976 - see Variable: ID1976A_OCC - Primary occupation during past week Indonesia 1980 - see Variable: ID1980A_OCC - Primary occupation during the previous week (3 digit version) Indonesia 1985 - see Variable: ID1985A_OCC - Primary occupation Indonesia 1990 - see Variable: ID1990A_OCC - Main occupation last week Indonesia 1995 - see Variable: ID1995A_OCC - Occupation Indonesia 2005 - see Variable: ID2005A_OCC - Occupation Iran 2006 - see Variable: IR2006A_OCC4 - Occupation Iran 2011 - see Variable: IR2011A_OCC - Occupation (3-digit) Iraq 1997 - see Variable: IQ1997A_OCC - Occupation Ireland 1971 - see Variable: IE1971A_OCC - Occupation Ireland 1981 - see Variable: IE1981A_OCC - Occupation Ireland 1986 - see Variable: IE1986A_OCC - Occupation group Ireland 1991 - see Variable: IE1991A_OCC - Occupation group Ireland 1996 - see Variable: IE1996A_OCC - Occupation Ireland 2002 - see Variable: IE2002A_OCC - Occupation Ireland 2006 - see Variable: IE2006A_OCC - Occupation group Ireland 2011 - see Variable: IE2011A_OCC - Occupation (shuffled) Ireland 2016 - see Variable: IE2016A_OCC - Occupation (groups) Israel 1972 - see Variable: IL1972A_OCC - Occupation Israel 1983 - see Variable: IL1983A_OCC - Occupation Israel 1995 - see Variable: IL1995A_OCC - Occupation Israel 2008 - see Variable: IL2008A_OCC - Occupation Italy 2001 - see Variable: IT2001A_OCC - Occupation Italy 2011 - see Variable: IT2011A_WKTYPE - Type of work Jamaica 1982 - see Variable: JM1982A_OCC - Occupation during past week / in last job Jamaica 1991 - see Variable: JM1991A_OCC - Occupation during past week/in last job Jamaica 2001 - see Variable: JM2001A_OCC3 - Occupation 3-digit Jordan 2004 - see Variable: JO2004A_OCC3 - Major current occupation (3-digit) Kenya 1989 - see Variable: KE1989A_OCC4 - Occupation, 4 digits Kenya 2019 - see Variable: KE2019A_OCC3 - Occupation (3-digit) Kyrgyzstan 1999 - see Variable: KG1999A_OCC - Main activity Laos 1995 - see Variable: LA1995A_OCC1 - Main occupation in the last 12 months (1-digit) Lesotho 1996 - see Variable: LS1996A_OCC - Occupation (2-digits) Lesotho 2006 - see Variable: LS2006A_OCC - Occupation (2-digits) Liberia 1974 - see Variable: LR1974A_OCC2 - Occupation (2-digit) Liberia 2008 - see Variable: LR2008A_OCC - Occupation Malawi 1987 - see Variable: MW1987A_OCC2 - Occupation, 2 digit Malawi 1998 - see Variable: MW1998A_OCC2 - Occupation, 2-digit Malawi 2008 - see Variable: MW2008A_OCC2 - Occupation (2 digits) Malawi 2018 - see Variable: MW2018A_OCC1 - Main occupation (1-digit) Malaysia 1970 - see Variable: MY1970A_OCC - Occupation last week Malaysia 1980 - see Variable: MY1980A_OCC3 - Principal occupation last week (3 digits) Malaysia 1991 - see Variable: MY1991A_OCC3 - Principal occupation (3 digits) Malaysia 2000 - see Variable: MY2000A_OCC3 - Occupation -- 3 digits Mali 1987 - see Variable: ML1987A_OCC - Occupation last month Mali 1998 - see Variable: ML1998A_OCC - Main occupation Mali 2009 - see Variable: ML2009A_OCC - Principal occupation Mauritius 1990 - see Variable: MU1990A_OCC3 - Occupation (3-digit) Mauritius 2000 - see Variable: MU2000A_OCC4 - Occupation (4 digit) Mauritius 2011 - see Variable: MU2011A_OCC4 - Occupation (4-digit) Mexico 1960 - see Variable: MX1960A_OCC2 - Principal occupation, 2 digits Mexico 1970 - see Variable: MX1970A_OCC3 - Occupation 3 digit Mexico 1990 - see Variable: MX1990A_OCC - Occupation, 4 digits Mexico 1995 - see Variable: MX1995A_OCC - Occupation Mexico 2000 - see Variable: MX2000A_OCC4 - Occupation, 4 digits Mexico 2010 - see Variable: MX2010A_OCC - Occupation or trade Mexico 2015 - see Variable: MX2015A_OCC - Occupation Mexico 2020 - see Variable: MX2020A_OCC3 - Occupation (3-digits) Mongolia 2000 - see Variable: MN2000A_OCC - Occupation Mongolia 2010 - see Variable: MN2010A_OCC3 - Occupation 3 digits (ISCO-2008) Mongolia 2020 - see Variable: MN2020A_OCC3 - Occupation (3-digit) Morocco 1982 - see Variable: MA1982A_OCC3 - Occupation (3-digit) Morocco 1994 - see Variable: MA1994A_OCC3 - Occupation, 3-digit Morocco 2004 - see Variable: MA2004A_OCC3 - Occupation (3-digit) Morocco 2014 - see Variable: MA2014A_OCC2 - Occupation (2-digit) Mozambique 1997 - see Variable: MZ1997A_OCC2 - Occupation 3-digit Mozambique 2007 - see Variable: MZ2007A_OCC - Occupation Mozambique 2017 - see Variable: MZ2017A_OCC3 - Main occupation (3-digits ISCO 2008) Myanmar 2014 - see Variable: MM2014A_OCC - Occupation Nepal 2001 - see Variable: NP2001A_OCC - Usual occupation Nepal 2011 - see Variable: NP2011A_OCC1 - Occupation (1-digit) Netherlands 1960 - see Variable: NL1960A_OCC - Occupation Netherlands 1971 - see Variable: NL1971A_OCC - Occupation Netherlands 2001 - see Variable: NL2001A_OCC - Occupation Netherlands 2011 - see Variable: NL2011A_OCC - Occupation (1-digit) Nicaragua 1971 - see Variable: NI1971A_OCC - Occupation Nicaragua 1995 - see Variable: NI1995A_OCC - Occupation (ISCO 88, 3 digits) Nicaragua 2005 - see Variable: NI2005A_OCC3 - Occupation (ISCO 88, 3 digits) Pakistan 1973 - see Variable: PK1973A_OCC3 - Occupation Palestine 1997 - see Variable: PS1997A_OCC - Main occupation Palestine 2007 - see Variable: PS2007A_OCC - Main occupation Palestine 2017 - see Variable: PS2017A_OCC - Occupation Panama 1960 - see Variable: PA1960A_OCC4 - Occupation (4-digit) Panama 1970 - see Variable: PA1970A_OCC2 - Occupation, 2-digit Panama 1980 - see Variable: PA1980A_OCC2 - Occupation (3-digit) Panama 1990 - see Variable: PA1990A_OCC - Occupation Panama 2000 - see Variable: PA2000A_OCC - Occupation Panama 2010 - see Variable: PA2010A_OCC - Occupation, 3 digits Papua New Guinea 1980 - see Variable: PG1980A_OCC - Occupation, 3 digits Papua New Guinea 1990 - see Variable: PG1990A_OCC - Occupation Papua New Guinea 2000 - see Variable: PG2000A_OCC - Occupation (4-digit) Paraguay 1962 - see Variable: PY1962A_OCC1 - Occupation (1-digit) Paraguay 1972 - see Variable: PY1972A_OCC3 - Occupation (3 digits) Paraguay 1982 - see Variable: PY1982A_OCC3 - Occupation, 3-digits Paraguay 1992 - see Variable: PY1992A_OCC2 - Main occupation, 3 digits Paraguay 2002 - see Variable: PY2002A_OCC - Occupation (4 digits) Peru 1993 - see Variable: PE1993A_OCC - Occupation (3 digits) Peru 2007 - see Variable: PE2007A_OCC - Main occupation last week (3 digits) Peru 2017 - see Variable: PE2017A_OCC1 - Occupation (1-digit, in primary job last week) Philippines 1990 - see Variable: PH1990A_OCC - Occupation Philippines 2000 - see Variable: PH2000A_OCC - Occupation Philippines 2010 - see Variable: PH2010A_OCC3 - Usual occupation (3-digit) Poland 1978 - see Variable: PL1978A_OCC - Occupation Poland 1988 - see Variable: PL1988A_OCC - Main occupation Poland 2002 - see Variable: PL2002A_OCC - Occupation Portugal 1981 - see Variable: PT1981A_OCC - Main occupation Portugal 1991 - see Variable: PT1991A_OCC - Main occupation Portugal 2001 - see Variable: PT2001A_OCC - Main occupation Portugal 2011 - see Variable: PT2011A_OCC - Main occupation Puerto Rico 1970 - see Variable: PR1970A_OCC - Occupation Puerto Rico 1980 - see Variable: PR1980A_OCC - Occupation Puerto Rico 1990 - see Variable: PR1990A_OCC - Occupation Puerto Rico 2000 - see Variable: PR2000A_OCC - Occupation Puerto Rico 2005 - see Variable: PR2005A_OCC - Occupation Puerto Rico 2010 - see Variable: PR2010A_OCC - Occupation Puerto Rico 2015 - see Variable: PR2015A_OCC - Occupation last week Puerto Rico 2020 - see Variable: PR2020A_OCC2010 - Occupation last week, 2010 basis Romania 1992 - see Variable: RO1992A_OCC - Occupation Romania 2002 - see Variable: RO2002A_OCC4 - Occupation, 4 digits Romania 2011 - see Variable: RO2011A_OCC - Occupation (unrecoded) Rwanda 2002 - see Variable: RW2002A_OCC - Occupation Rwanda 2012 - see Variable: RW2012A_OCC2 - Occupation (3-digit) Saint Lucia 1991 - see Variable: LC1991A_OCC - Occupation Senegal 1988 - see Variable: SN1988A_OCC - Occupation Senegal 2002 - see Variable: SN2002A_OCC3 - Occupation, 3 digits Senegal 2013 - see Variable: SN2013A_OCC3 - Profession or occupation (3-digit) Sierra Leone 2004 - see Variable: SL2004A_OCC - Occupation Sierra Leone 2015 - see Variable: SL2015A_OCC - Main occupation in the past 12 months Slovakia 1991 - see Variable: SK1991A_OCC - Occupation (2-digit) Slovakia 2001 - see Variable: SK2001A_OCC2 - Occupation (2-digit) Slovakia 2011 - see Variable: SK2011A_OCC2 - Occupation (2-digit) Slovenia 2002 - see Variable: SI2002A_OCC - Occupation South Africa 1996 - see Variable: ZA1996A_OCC3 - Occupation, 3 digits South Africa 2001 - see Variable: ZA2001A_OCC - Occupation, 3 digit South Africa 2007 - see Variable: ZA2007A_OCC3 - Occupation, 3 digits South Sudan 2008 - see Variable: SS2008A_OCC - Occupation Spain 1981 - see Variable: ES1981A_OCC - Occupation Spain 1991 - see Variable: ES1991A_OCC - Occupation Spain 2001 - see Variable: ES2001A_OCC - Occupation Spain 2011 - see Variable: ES2011A_OCC - Occupation, 2-digits Sudan 2008 - see Variable: SD2008A_OCC - Occupation Suriname 2004 - see Variable: SR2004A_OCC - Occupation Suriname 2012 - see Variable: SR2012A_OCC - Occupation (groups) Switzerland 1970 - see Variable: CH1970A_ISCO - Present occupation (ISCO) Switzerland 1980 - see Variable: CH1980A_ISCO - Present occupation (ISCO-COM) Switzerland 1990 - see Variable: CH1990A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2000 - see Variable: CH2000A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2011 - see Variable: CH2011A_OCC - Current occupation (1-digit, ISCO-08) Tanzania 1988 - see Variable: TZ1988A_OCC - Occupation Tanzania 2002 - see Variable: TZ2002A_OCC - Occupation last week Tanzania 2012 - see Variable: TZ2012A_OCC - Occupation Thailand 1970 - see Variable: TH1970A_OCC - Principal occupation last year Thailand 1980 - see Variable: TH1980A_OCC - Occupation last year Thailand 1990 - see Variable: TH1990A_OCC3 - Occupation last year Thailand 2000 - see Variable: TH2000A_OCC3 - Occupation last year, 3 digits Togo 1960 - see Variable: TG1960A_OCC - Occupation (3-digits) Togo 1970 - see Variable: TG1970A_OCC3 - Occupation (3-digits) Togo 2010 - see Variable: TG2010A_OCC2 - Occupation (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_OCC - Main occupation (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_OCC - Main occupation during previous week (three digits) Trinidad and Tobago 2000 - see Variable: TT2000A_OCC - Main occupation (3 digits) Turkey 1985 - see Variable: TR1985A_OCC2 - Occupation (2-digit) Turkey 1990 - see Variable: TR1990A_OCC2 - Current occupation (2 digits) Turkey 2000 - see Variable: TR2000A_OCC2 - Current occupation, 2 digit Uganda 1991 - see Variable: UG1991A_OCC - Occupation, 3 digits Uganda 2002 - see Variable: UG2002A_OCC - Occupation, 3 digits Uganda 2014 - see Variable: UG2014A_OCC - Occupation (2-digits) United Kingdom 1961 - see Variable: UK1961A_OCC - Occupation United Kingdom 1971 - see Variable: UK1971A_OCC - Occupation United Kingdom 1991 - see Variable: UK1991A_OCC - Occupational classification United Kingdom 2001 - see Variable: UK2001A_OCC3 - Standard occupational classification 2000-minor United States 1960 - see Variable: US1960A_OCC - Occupation United States 1970 - see Variable: US1970A_OCC - Occupation United States 1980 - see Variable: US1980A_OCC - Occupation United States 1990 - see Variable: US1990A_OCC - Occupation United States 2000 - see Variable: US2000A_OCC - Occupation United States 2005 - see Variable: US2005A_OCC2000M - Occupation, 2000 basis, modal category assignment United States 2010 - see Variable: US2010A_OCC - Occupation United States 2015 - see Variable: US2015A_OCC - Occupation last week United States 2020 - see Variable: US2020A_OCC - Occupation last week Uruguay 1963 - see Variable: UY1963A_OCC2 - Primary occupation [2-digit] Uruguay 1975 - see Variable: UY1975A_OCC - Occupation (COTA, 3 digits) Uruguay 1985 - see Variable: UY1985A_OCC - Occupation during the past week Uruguay 1996 - see Variable: UY1996A_OCC - Occupation (ISCO 88, 3 digits) Uruguay 2006 - see Variable: UY2006A_OCC3 - Occupation (ISCO-88, 3 digits) Venezuela 1981 - see Variable: VE1981A_OCC3 - Occupation, 3 digits Venezuela 1990 - see Variable: VE1990A_OCC - Occupation, 3 digits Venezuela 2001 - see Variable: VE2001A_OCC - Occupation Vietnam 1989 - see Variable: VN1989A_OCC2 - Occupation, 2 digits Vietnam 1999 - see Variable: VN1999A_OCC3 - Occupation, 3 digit Vietnam 2009 - see Variable: VN2009A_OCC - Occupation Vietnam 2019 - see Variable: VN2019A_OCC1 - Occupation, 1 digit Zambia 1990 - see Variable: ZM1990A_OCC - Occupation Zambia 2000 - see Variable: ZM2000A_OCC - Main occupation last 12 months, 3 digits Zambia 2010 - see Variable: ZM2010A_OCC2 - Main occupation last 12 months, 3 digits Zimbabwe 2012 - see Variable: ZW2012A_OCC - Occupation (3-digits) Work Variables -- PERSON Industry, general recode INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples. "Industry" refers to the activity or product of the establishment or sector in which a person worked. 000 NIU (not in universe) 010 Agriculture, fishing, and forestry 020 Mining and extraction 030 Manufacturing 040 Electricity, gas, water and waste management 050 Construction 060 Wholesale and retail trade 070 Hotels and restaurants 080 Transportation, storage, and communications 090 Financial services and insurance 100 Public administration and defense 110 Services, not specified 111 Business services and real estate 112 Education 113 Health and social work 114 Other services 120 Private household services 130 Other industry, n.e.c. 998 Response suppressed 999 Unknown Work Variables -- PERSON Industry, unrecoded "Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International. IND is a 5-digit numeric variable. Some samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Argentina 1970 - see Variable: AR1970A_IND4 - Industry [4 digit] Argentina 1980 - see Variable: AR1980A_IND - Industry Argentina 1991 - see Variable: AR1991A_IND - Industry Argentina 2001 - see Variable: AR2001A_IND - Industry Armenia 2001 - see Variable: AM2001A_IND - Principal activity at place of work Armenia 2011 - see Variable: AM2011A_IND - Industry Austria 1971 - see Variable: AT1971A_INDBR - Economic activity of supporter: branch Austria 1981 - see Variable: AT1981A_INDBR - Economic activity of supporter: branch Austria 1991 - see Variable: AT1991A_INDBR - Economic activity of supporter: branch Austria 2001 - see Variable: AT2001A_INDBR - Economic activity of supporter: branch Austria 2011 - see Variable: AT2011A_IND - Industry Bangladesh 1991 - see Variable: BD1991A_IND - Industry Bangladesh 2001 - see Variable: BD2001A_IND - Main work field Bangladesh 2011 - see Variable: BD2011A_IND - Industry Belarus 2009 - see Variable: BY2009A_ECONACT - Industry Benin 1979 - see Variable: BJ1979A_IND - Industry (1-digit) Benin 1992 - see Variable: BJ1992A_IND3 - Industry (2-digits) Benin 2002 - see Variable: BJ2002A_IND2 - Industry (2-digits) Benin 2013 - see Variable: BJ2013A_IND3 - Industry (3-digit) Bolivia 1976 - see Variable: BO1976A_IND - Industry Bolivia 1992 - see Variable: BO1992A_IND3 - Activity, 3 digits Bolivia 2001 - see Variable: BO2001A_IND3 - Industry, 3 digits Bolivia 2012 - see Variable: BO2012A_IND2 - Industry (2 digit) Botswana 1981 - see Variable: BW1981A_IND - Industry Botswana 1991 - see Variable: BW1991A_IND - Industry Botswana 2001 - see Variable: BW2001A_IND - Industry Botswana 2011 - see Variable: BW2011A_IND - Industry, 3-digits Brazil 1960 - see Variable: BR1960A_INDUSTRY - Industry Brazil 1970 - see Variable: BR1970A_INDUSTRY - Industry Brazil 1980 - see Variable: BR1980A_INDUSTRY - Industry Brazil 1991 - see Variable: BR1991A_IND - Industry Brazil 2000 - see Variable: BR2000A_IND - Industry, 5 digits Brazil 2010 - see Variable: BR2010A_IND - Industry of work from July 25 to July 31, 2010 Burkina Faso 1996 - see Variable: BF1996A_IND - Branch of activity Cambodia 1998 - see Variable: KH1998A_IND - Industry Cambodia 2004 - see Variable: KH2004A_IND3 - Industry (3-digits) Cambodia 2008 - see Variable: KH2008A_IND - Industry Cambodia 2013 - see Variable: KH2013A_IND - Industry (3-digits) Cambodia 2019 - see Variable: KH2019A_IND3 - Industy (ISIC rev 4, 3-digit) Cameroon 2005 - see Variable: CM2005A_IND - Industry Canada 1971 - see Variable: CA1971A_IND - Industry Canada 1981 - see Variable: CA1981A_IND - Industry (1981 standard industrial classification) Canada 1991 - see Variable: CA1991A_IND80 - Industry (1980 standard industrial classification) Canada 2001 - see Variable: CA2001A_IND80P - Industry (1980 Standard Industrial Classification) Canada 2011 - see Variable: CA2011A_IND - Industry Chile 1960 - see Variable: CL1960A_IND - Industry Chile 1970 - see Variable: CL1970A_IND4 - Industry (4-digit) Chile 1982 - see Variable: CL1982A_IND4 - Industry (4-digit) Chile 1992 - see Variable: CL1992A_IND - Industry Chile 2002 - see Variable: CL2002A_IND - Industry Chile 2017 - see Variable: CL2017A_IND - Industry (1-digit) China 1982 - see Variable: CN1982A_INDUSTRY - Industry China 1990 - see Variable: CN1990A_IND - Industry China 2000 - see Variable: CN2000A_IND - Industry (2-digit) Colombia 1964 - see Variable: CO1964A_IND4 - Industry, 4 digits Colombia 1973 - see Variable: CO1973A_IND - Industry Colombia 1993 - see Variable: CO1993A_IND - Industry Colombia 2005 - see Variable: CO2005A_IND - Industry (2-digit) Costa Rica 1963 - see Variable: CR1963A_IND3 - Industry, 3 digits Costa Rica 1973 - see Variable: CR1973A_IND4 - Industry, 4 digits Costa Rica 1984 - see Variable: CR1984A_IND4 - Industry, 4 digits Costa Rica 2000 - see Variable: CR2000A_IND3 - Industry, 3 digits Costa Rica 2011 - see Variable: CR2011A_IND - Industry 2-digit Cuba 2002 - see Variable: CU2002A_IND - Industry Cuba 2012 - see Variable: CU2012A_IND - Industry Côte d'Ivoire 1988 - see Variable: CI1988A_IND - Industry (1-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_IND2 - Industry sector (detailed) Dominican Republic 1960 - see Variable: DO1960A_IND - Industry Dominican Republic 1970 - see Variable: DO1970A_IND1 - Industry, 3 digits Dominican Republic 1981 - see Variable: DO1981A_IND - Industry (3-digit) Dominican Republic 2002 - see Variable: DO2002A_IND - Industry Dominican Republic 2010 - see Variable: DO2010A_IND - Main activity of business Ecuador 1962 - see Variable: EC1962A_IND3 - Industry, 3 digits Ecuador 1982 - see Variable: EC1982A_IND3 - Industry Ecuador 1990 - see Variable: EC1990A_IND3 - Industry, 3 digits Ecuador 2001 - see Variable: EC2001A_IND - Industry, 3 digits Ecuador 2010 - see Variable: EC2010A_IND3 - Industry (3 digits, ISIC rev 4) Egypt 1986 - see Variable: EG1986A_IND3 - Industry (3-digit) Egypt 1996 - see Variable: EG1996A_IND3 - Industry (ISIC) Egypt 2006 - see Variable: EG2006A_IND - Industry, 3-digit El Salvador 1992 - see Variable: SV1992A_IND - Industry (3-digit) El Salvador 2007 - see Variable: SV2007A_IND3DIG - Industry (3-digit) Ethiopia 1984 - see Variable: ET1984A_IND2 - Industry Ethiopia 1994 - see Variable: ET1994A_IND - Industry Fiji 1966 - see Variable: FJ1966A_IND - Industry Fiji 1976 - see Variable: FJ1976A_IND - Industry Fiji 1986 - see Variable: FJ1986A_IND - Industry 3 digits Fiji 1996 - see Variable: FJ1996A_IND2DIG - Industry (2 digits) Fiji 2007 - see Variable: FJ2007A_IND2 - Industry, 2 digits Fiji 2014 - see Variable: FJ2014A_IND - Industry Finland 2010 - see Variable: FI2010A_IND - Industry France 1962 - see Variable: FR1962A_IND - Industry France 1968 - see Variable: FR1968A_IND41 - Industry, 41 categories France 1975 - see Variable: FR1975A_INDUN - Industry, UNO France 1982 - see Variable: FR1982A_INDUN - Industry, United Nations nomenclature France 1990 - see Variable: FR1990A_IND15 - Industry, 15 categories France 1999 - see Variable: FR1999A_INDCITI - Industry, ISIC France 2006 - see Variable: FR2006A_IND700N - Economic activity in 700 categories (2003 classification) numeric recode France 2011 - see Variable: FR2011A_IND - Industry, 732 categories Germany 1970 - see Variable: DE1970A_IND - Industry Germany 1971 - see Variable: DE1971A_IND - Industry Germany 1981 - see Variable: DE1981A_IND - Industry Germany 1987 - see Variable: DE1987A_IND - Industry Ghana 2000 - see Variable: GH2000A_IND - Industry Ghana 2010 - see Variable: GH2010A_IND - Industry (major groups) Greece 1971 - see Variable: GR1971A_IND - Industry Greece 1981 - see Variable: GR1981A_IND - Industry Greece 1991 - see Variable: GR1991A_IND - Industry Greece 2001 - see Variable: GR2001A_IND - Industry Greece 2011 - see Variable: GR2011A_IND - Industry Guatemala 1964 - see Variable: GT1964A_IND3 - Field of economic activity (3-digits) Guatemala 1973 - see Variable: GT1973A_IND3 - Industry (3-digits) Guatemala 1981 - see Variable: GT1981A_IND3 - Industry (3-digits) Guatemala 1994 - see Variable: GT1994A_IND2 - Field of economic activity (2-digits) Guatemala 2002 - see Variable: GT2002A_IND1 - Field of economic activity (1-digit) Guinea 1983 - see Variable: GN1983A_IND2 - Branch of economic activity, 2 digits Guinea 2014 - see Variable: GN2014A_IND - Industry (3-digit) Haiti 1982 - see Variable: HT1982A_IND - Branch of work Haiti 2003 - see Variable: HT2003A_IND2 - Industry, 3 digits Honduras 1961 - see Variable: HN1961A_IND - Industry (2-digits) Honduras 1974 - see Variable: HN1974A_IND - Industry (3-digits) Honduras 2001 - see Variable: HN2001A_IND - Industry (4-digit) Honduras 2013 - see Variable: HN2013A_IND3 - Economic activity (3-digit) Hungary 2001 - see Variable: HU2001A_IND - Industry, branch of economy Hungary 2011 - see Variable: HU2011A_IND - Industry Indonesia 1971 - see Variable: ID1971A_IND - Industry Indonesia 1976 - see Variable: ID1976A_IND - Industry Indonesia 1980 - see Variable: ID1980A_IND - Industry Indonesia 1985 - see Variable: ID1985A_IND - Industry of primary occupation Indonesia 1990 - see Variable: ID1990A_IND - Industry of main occupation last week Indonesia 1995 - see Variable: ID1995A_IND - Industry Indonesia 2000 - see Variable: ID2000A_IND - Industry of primary occupation Indonesia 2005 - see Variable: ID2005A_IND - Industry Indonesia 2010 - see Variable: ID2010A_IND - Industry Iran 2006 - see Variable: IR2006A_IND4 - Industry Iran 2011 - see Variable: IR2011A_IND - Industry (3-digit) Iraq 1997 - see Variable: IQ1997A_IND - Industry Ireland 1971 - see Variable: IE1971A_IND - Industry Ireland 1981 - see Variable: IE1981A_IND - Industry class Ireland 1986 - see Variable: IE1986A_IND - Industry class Ireland 1991 - see Variable: IE1991A_IND - Industry class Ireland 1996 - see Variable: IE1996A_IND - Industry class Ireland 2002 - see Variable: IE2002A_IND - Industry class Ireland 2006 - see Variable: IE2006A_IND - Industry class Ireland 2011 - see Variable: IE2011A_IND - Industry Ireland 2016 - see Variable: IE2016A_IND - Industry Israel 1972 - see Variable: IL1972A_IND - Industry Israel 1983 - see Variable: IL1983A_IND - Industry Israel 1995 - see Variable: IL1995A_IND - Industry Israel 2008 - see Variable: IL2008A_IND - Branch of economy Italy 2001 - see Variable: IT2001A_IND - Industry Italy 2011 - see Variable: IT2011A_IND - Sector of economic activity Jamaica 1982 - see Variable: JM1982A_IND - Industry or type of business during past week / in last job Jamaica 1991 - see Variable: JM1991A_IND3 - Industry during past week or in last job, 3 digits Jamaica 2001 - see Variable: JM2001A_IND3 - Industry 3-digit Jordan 2004 - see Variable: JO2004A_IND - Major current economic activity of the establishment Kenya 2019 - see Variable: KE2019A_IND1 - Industry, ISIC section Kyrgyzstan 1999 - see Variable: KG1999A_IND - Activity type of an enterprise you are working in Kyrgyzstan 2009 - see Variable: KG2009A_IND - Type of industry, enterprise or organization Laos 1995 - see Variable: LA1995A_IND2 - Main industry in the last 12 months (2-digit) Laos 2005 - see Variable: LA2005A_IND3 - Industry (ISIC 3-digit) Laos 2015 - see Variable: LA2015A_IND2 - Industry (2-digit ISIC Rev. 4) Lesotho 2006 - see Variable: LS2006A_IND - Industry (2-digits) Liberia 1974 - see Variable: LR1974A_IND - Industry (3-digit) Liberia 2008 - see Variable: LR2008A_IND - Industry Malawi 1987 - see Variable: MW1987A_IND2 - Industry, 2 digit Malawi 1998 - see Variable: MW1998A_IND4 - Industry, 4-digit Malawi 2008 - see Variable: MW2008A_IND2 - Main industry Malawi 2018 - see Variable: MW2018A_IND3 - Main industry (ISIC 2008 3-digit) Malaysia 1970 - see Variable: MY1970A_IND3 - Industry last week Malaysia 1980 - see Variable: MY1980A_IND3 - Industry last week (3 digits) Malaysia 1991 - see Variable: MY1991A_IND3 - Main industry (3 digits) Malaysia 2000 - see Variable: MY2000A_IND3 - Main industry - 3 digits Mali 1987 - see Variable: ML1987A_IND - Principal branch of employment last month Mali 1998 - see Variable: ML1998A_IND - Branch of economic activity Mali 2009 - see Variable: ML2009A_IND - Industry Mauritius 1990 - see Variable: MU1990A_IND - Industry (1-digit) Mauritius 2000 - see Variable: MU2000A_IND1 - Industry (1 digit) Mauritius 2011 - see Variable: MU2011A_IND2 - Industry (2-digit) Mexico 1960 - see Variable: MX1960A_IND - Industry Mexico 1970 - see Variable: MX1970A_IND - Industry Mexico 1990 - see Variable: MX1990A_IND5 - Industry, 5 digits Mexico 1995 - see Variable: MX1995A_IND - Industry Mexico 2000 - see Variable: MX2000A_IND3 - Industry, 3 digits Mexico 2010 - see Variable: MX2010A_IND - Industry Mexico 2015 - see Variable: MX2015A_IND - Industry Mexico 2020 - see Variable: MX2020A_IND - Industry (4-digits) Mongolia 2000 - see Variable: MN2000A_IND - Industry Mongolia 2010 - see Variable: MN2010A_IND2 - Industry, division (ISIC Revision 4) Mongolia 2020 - see Variable: MN2020A_IND3 - Main industry (3-digit) Morocco 1982 - see Variable: MA1982A_IND3 - Industry (3-digit) Morocco 1994 - see Variable: MA1994A_IND2 - Industry (2 digits) Morocco 2004 - see Variable: MA2004A_IND2 - Sector of economic activity (2-digit) Morocco 2014 - see Variable: MA2014A_IND2 - Industry (2-digit) Mozambique 1997 - see Variable: MZ1997A_IND1 - Industry Mozambique 2007 - see Variable: MZ2007A_IND - Industry Mozambique 2017 - see Variable: MZ2017A_IND2 - Main economic activity (2-digits CAE Rev.2) Myanmar 2014 - see Variable: MM2014A_IND - Industry Nepal 2001 - see Variable: NP2001A_IND - Usual industry Nepal 2011 - see Variable: NP2011A_IND - Industry (2-digit) Netherlands 1960 - see Variable: NL1960A_IND - Industry Netherlands 1971 - see Variable: NL1971A_IND - Industry Netherlands 2001 - see Variable: NL2001A_IND - Industry Netherlands 2011 - see Variable: NL2011A_IND - Industry (1-digit) Nicaragua 1971 - see Variable: NI1971A_IND3 - Industry (ISIC2), 3 digits Nicaragua 1995 - see Variable: NI1995A_IND - Industry (ISIC 3.1, 3 digits) Nicaragua 2005 - see Variable: NI2005A_IND3 - Industry (ISIC 3.1, 3 digits)) Pakistan 1973 - see Variable: PK1973A_IND2 - Industry, 2 digit Palestine 1997 - see Variable: PS1997A_IND - Industry Palestine 2007 - see Variable: PS2007A_IND - Industry Palestine 2017 - see Variable: PS2017A_IND - Industry Panama 1960 - see Variable: PA1960A_IND3 - Industry (3 digit) Panama 1970 - see Variable: PA1970A_IND3 - Industry [3 digit] Panama 1980 - see Variable: PA1980A_IND - Industry, 3-digit Panama 1990 - see Variable: PA1990A_IND3 - Industry - 3 Digits Panama 2000 - see Variable: PA2000A_IND - Economic activity, 3 digits Panama 2010 - see Variable: PA2010A_IND - Economic activity, 4 digits Papua New Guinea 1980 - see Variable: PG1980A_IND - Industry, 3 digits Papua New Guinea 2000 - see Variable: PG2000A_IND3 - Industry (3-digit) Paraguay 1962 - see Variable: PY1962A_IND3 - Industry (3 digits) Paraguay 1972 - see Variable: PY1972A_IND3 - Industry (3 digits) Paraguay 1982 - see Variable: PY1982A_IND3 - Industry, 3-digits Paraguay 1992 - see Variable: PY1992A_IND3 - Industry, 3 digits Paraguay 2002 - see Variable: PY2002A_IND - Industry (4 digits) Peru 1993 - see Variable: PE1993A_IND - Economic activity (4 digits) Peru 2007 - see Variable: PE2007A_IND - Economic activity (4-digits) Peru 2017 - see Variable: PE2017A_IND4 - Economic activity (4-digits, in primary job last week) Philippines 1990 - see Variable: PH1990A_IND - Industry Philippines 1995 - see Variable: PH1995A_IND - Industry Philippines 2000 - see Variable: PH2000A_IND - Industry Philippines 2010 - see Variable: PH2010A_IND3 - Kind of business or industry (3-digit) Poland 1978 - see Variable: PL1978A_IND - Industry (of person providing support) Poland 2002 - see Variable: PL2002A_IND - Industry (main employer) Portugal 1981 - see Variable: PT1981A_IND - Industry Portugal 1991 - see Variable: PT1991A_IND - Industry Portugal 2001 - see Variable: PT2001A_IND - Industry Portugal 2011 - see Variable: PT2011A_IND - Industry Puerto Rico 1970 - see Variable: PR1970A_IND1990 - Industry, 1990 basis Puerto Rico 1980 - see Variable: PR1980A_IND1990 - Industry, 1990 basis Puerto Rico 1990 - see Variable: PR1990A_IND - Industry Puerto Rico 2000 - see Variable: PR2000A_IND1990 - Industry, 1990 basis Puerto Rico 2005 - see Variable: PR2005A_IND1990 - Industry, 1990 basis Puerto Rico 2010 - see Variable: PR2010A_IND - Industry Puerto Rico 2015 - see Variable: PR2015A_IND - Industry Puerto Rico 2020 - see Variable: PR2020A_IND - Industry Romania 1977 - see Variable: RO1977A_IND - Industry of supporter Romania 1977 - see Variable: RO1977A_WKACT - Activity category Romania 1992 - see Variable: RO1992A_IND - Industry Romania 2002 - see Variable: RO2002A_IND - Industry Romania 2011 - see Variable: RO2011A_INDGEN - Industry (general categories) Rwanda 2002 - see Variable: RW2002A_IND - Industry Rwanda 2012 - see Variable: RW2012A_IND2 - Industry (3-digit) Saint Lucia 1991 - see Variable: LC1991A_IND3 - Industry, 2 digit Senegal 1988 - see Variable: SN1988A_IND - Industry Senegal 2013 - see Variable: SN2013A_IND3 - Industry (3-digit) Sierra Leone 2004 - see Variable: SL2004A_IND - Industry Slovenia 2002 - see Variable: SI2002A_IND - Industry South Africa 1996 - see Variable: ZA1996A_IND2 - Industry, 2 digits South Africa 2001 - see Variable: ZA2001A_IND3 - Industry, 3 digit South Africa 2007 - see Variable: ZA2007A_IND3 - Industry, 3 digit South Sudan 2008 - see Variable: SS2008A_IND - Industry Spain 1981 - see Variable: ES1981A_IND - Industry Spain 1991 - see Variable: ES1991A_IND - Activity of the establishment Spain 2001 - see Variable: ES2001A_IND - Industry Spain 2011 - see Variable: ES2011A_IND - Industry, 2-digits Sudan 2008 - see Variable: SD2008A_IND - Industry Suriname 2004 - see Variable: SR2004A_IND - Industry Suriname 2012 - see Variable: SR2012A_IND - Industry (groups) Switzerland 1970 - see Variable: CH1970A_IND - Branch of economic activity (industry) Switzerland 1980 - see Variable: CH1980A_IND - Branch of economic activity (industry) Switzerland 1990 - see Variable: CH1990A_IND - Branch of economic activity (industry) Switzerland 2000 - see Variable: CH2000A_IND - Branch of economic activity (industry) Switzerland 2011 - see Variable: CH2011A_IND2 - Industry of local unit, workplace (NOGA 2-digit) Tanzania 2002 - see Variable: TZ2002A_IND - Industry last week Tanzania 2012 - see Variable: TZ2012A_IND - Industry Thailand 1970 - see Variable: TH1970A_IND - Principal industry last year Thailand 1980 - see Variable: TH1980A_IND - Principal industry last year Thailand 1990 - see Variable: TH1990A_IND3 - Principal industry last year, 3 digits Thailand 2000 - see Variable: TH2000A_IND3 - Industry last year, 3 digits Togo 1970 - see Variable: TG1970A_IND - Industry (1-digit) Togo 2010 - see Variable: TG2010A_IND3 - Industry (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_IND - Industry (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_IND - Industry Trinidad and Tobago 2000 - see Variable: TT2000A_IND - Industry (2 digits) Turkey 1985 - see Variable: TR1985A_INDALT - Industry (2-digit) Turkey 1990 - see Variable: TR1990A_IND2 - Industry (2 digits) Turkey 2000 - see Variable: TR2000A_IND2 - Industry, 2 digit Uganda 2002 - see Variable: UG2002A_IND - Industry United Kingdom 1961 - see Variable: UK1961A_IND - Industry United Kingdom 1971 - see Variable: UK1971A_IND - Industry United Kingdom 1991 - see Variable: UK1991A_IND - Industrial classification United Kingdom 2001 - see Variable: UK2001A_IND - Industry classification United States 1960 - see Variable: US1960A_IND - Industry United States 1970 - see Variable: US1970A_IND - Industry United States 1980 - see Variable: US1980A_IND - Industry United States 1990 - see Variable: US1990A_IND - Industry United States 2000 - see Variable: US2000A_IND - Industry United States 2005 - see Variable: US2005A_IND - Industry United States 2010 - see Variable: US2010A_IND - Industry United States 2015 - see Variable: US2015A_IND - Industry United States 2020 - see Variable: US2020A_IND - Industry Uruguay 1963 - see Variable: UY1963A_IND2 - Primary industry [2-digit] Uruguay 1985 - see Variable: UY1985A_IND - Industry during the past week Uruguay 1996 - see Variable: UY1996A_IND2 - Industry (ISIC 3, 2 digits) Uruguay 2006 - see Variable: UY2006A_IND3 - Industry (ISIC rev 3, 3 digits) Venezuela 1981 - see Variable: VE1981A_IND - Industry Venezuela 1990 - see Variable: VE1990A_IND - Industry Venezuela 2001 - see Variable: VE2001A_IND - Industry Vietnam 1989 - see Variable: VN1989A_IND2 - Industry, 2 digits Vietnam 1999 - see Variable: VN1999A_IND3 - Industry, 3 digit Vietnam 2009 - see Variable: VN2009A_IND - Industry Vietnam 2019 - see Variable: VN2019A_IND3 - Industry, 3 digit Zambia 1990 - see Variable: ZM1990A_IND - Industry Zambia 2000 - see Variable: ZM2000A_IND - Type of industry, 3 digits Zambia 2010 - see Variable: ZM2010A_IND2 - Industry, 3 digits Work Variables -- PERSON Status in employment (class of worker) [general version] CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. 0 NIU (not in universe) 1 Self-employed 2 Wage/salary worker 3 Unpaid worker 4 Other 9 Unknown/missing Work Variables -- PERSON Status in employment (class of worker) [detailed version] CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. 000 NIU (not in universe) 100 Self-employed 101 Self-employed, unincorporated 102 Self-employed, incorporated 110 Employer 111 Sharecropper, employer 120 Working on own account 121 Own account, agriculture 122 Domestic worker, self-employed 123 Subsistence worker, own consumption 124 Own account, other 125 Own account, without temporary/unpaid help 126 Own account, with temporary/unpaid help 130 Member of cooperative 140 Sharecropper 141 Sharecropper, self-employed 142 Sharecropper, employee 150 Kibbutz member 199 Self-employed, not specified 200 Wage/salary worker 201 Management 202 Non-management 203 White collar (non-manual) 204 Blue collar (manual) 205 White or blue collar 206 Day laborer 207 Employee, with a permanent job 208 Employee, occasional, temporary, contract 209 Employee without legal contract 210 Wage/salary worker, private employer 211 Apprentice 212 Religious worker 213 Wage/salary worker, non-profit, NGO 214 White collar, private 215 Blue collar, private 216 Paid family worker 217 Cooperative employee 220 Wage/salary worker, government or public sector 221 Federal, government employee 222 State government employee 223 Local government employee 224 White collar, public 225 Blue collar, public 226 Public companies 227 Civil servants, local collectives 230 Domestic worker (work for private household) 240 Seasonal migrant 241 Seasonal migrant, no broker 242 Seasonal migrant, uses broker 250 Other wage and salary 251 Canal zone/commission employee 252 Government employment/training program 253 Mixed state/private enterprise/parastatal 254 Government public work program 255 State enterprise employee 256 Coordinated and continuous collaboration job 300 Unpaid worker 310 Unpaid family worker 320 Apprentice, unpaid or unspecified 330 Trainee 340 Apprentice or trainee 350 Works for others without wage 400 Other 999 Unknown/missing Work Variables -- PERSON Migration status, previous residence MIGRATEP indicates whether the person's most recent move (if any) was between minor administrative units, major units, or countries. 00 NIU (not in universe) 10 Same major administrative unit 11 Same major, same minor administrative unit 12 Same major, different minor administrative unit 20 Different major administrative unit 30 Abroad 98 Response suppressed 99 Not reported/missing/unknown Migration: Global Variables -- PERSON Disability status DISABLED indicates whether the person reported a disability of any kind. 0 NIU (not in universe) 1 Yes, disabled 2 No, not disabled 9 Unknown Disability Variables -- PERSON Blind or vision-impaired DISBLND indicates whether the person was blind or had limited vision. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Deaf or hearing-impaired DISDEAF indicates whether the person was deaf or had limited hearing. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Mute or speech impaired DISMUTE indicates if the person could not speak or had a significant speech impediment. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Person number (within household) Paraguay 1962: All records This variable indicates the person number (within household). 00 Household record 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 Technical Person Variables -- PERSON Relationship to head <span class="h3">General characteristics</span></p> <p>For individuals of all ages</p> <p><svar v="PY60A412" a="all">2. Relationship to the head of household: <br /><div class="i1">Write as appropriate: wife, child, nephew, guest, boarder, servant, etc.<br /><br />[] 1 Head<br /><br />____ [blank line for data of other individuals]</div><br /></svar> <svar v="PY62A412" a="all"><span class="em">Item II: Relationship to the head of household</span><br /><br />126 - The condition of head is already printed in the respective space, in the first column of the form. Annotate in the following columns, which correspond to the rest of the family members, the relationship that unites them with the head, for example: wife, child, son-in-law, grandchild, servant, etc. <br /><br />127 - If the family is based on an unmarried union, annotate the reciprocal relationship of the man with the woman as: "Companion." <br /><br />128 - In the case of the family members of the employees, pensioners, extended family, visitors, servants, etc., annotate: child of pensioner, child of servant, nephew of extended family member, etc., as the case may be. In the case of a group quarters, annotate the hierarchy of the person, that is to say, that which serves to indicate the order with which their name was written in the first column. For example, in the case of the heads of an institute: Director, Boss, Manager, Superior, and for the rest of the group: patient, interned, prisoner, religious individual, etc., depending on the case. <br /><br />129 - If two or more persons who are not related occupy the same dwelling, register one of them as the head and the other(s) as "friends."<br /></svar> Paraguay 1962: All persons This variable indicates the person's relationship to the household head. 1 Head 2 Spouse or partner 3 Child 4 Other relative 5 Boarder 6 Servant 7 Other not related by blood or marriage 9 Unknown Demographic Variables -- PERSON Sex <span class="h3">General characteristics</span></p> <p>For individuals of all ages</p> <p><svar v="PY60A413" a="all">3. Sex: <br /><div class="i1">Mark the appropriate box.<br /><br />[] 1 Male<br />[] 2 Female</div><br /></svar> <svar v="PY62A413" a="all"><span class="em">Item III: Sex</span><br /><br />130 - Annotate the data in the corresponding box. <br /></svar> Paraguay 1962: All persons This variable indicates the person's sex. 1 Male 2 Female 9 Unknown Demographic Variables -- PERSON Age (in years) <span class="h3">General characteristics</span></p> <p>For individuals of all ages</p> <p><svar v="PY60A414" a="all">4. Age in years completed. <br /><div class="i1">For those under one year of age, write the number of months completed. For those under one month, write 0 (zero) months.<br /><br />____ [] 1 Years completed<br />____ [] 2 Months completed</div><br /></svar> <svar v="PY62A414" a="all"><span class="em">Item IV: Age In years completed</span><br /><br />131 - "Age in years completed" means the age that the person has reached on their last birthday. One form of verifying the exactness of the age declared by the enumerated is asking for the date of birth, always, of course, when they are in conditions to provide this information.<br /><br />132 - The enumerator should have in mind people's common tendency to round their age, declaring numbers that end in zero or five. Especially in these cases it would be good to find out the date of birth, that is, make sure that the person is not rounding their age, whether it be higher or lower. <br /><br />133 - If the person does not know their age and no way is found to acquire it, be it utilizing their personal documents or asking their neighbors, the enumerator should make an estimation of their age. If the enumerated person is not present, obtain the information from those present who know the person.<br /></svar> Paraguay 1962: All persons This variable indicates the person's age (in years). 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 Unknown Demographic Variables -- PERSON Age (in months) <span class="h3">General characteristics</span></p> <p>For individuals of all ages</p> <p><svar v="PY60A414" a="all">4. Age in years completed. <br /><div class="i1">For those under one year of age, write the number of months completed. For those under one month, write 0 (zero) months.<br /><br />____ [] 1 Years completed<br />____ [] 2 Months completed</div><br /></svar> <svar v="PY62A414" a="all"><span class="em">Item IV: Age In years completed</span><br /><br />131 - "Age in years completed" means the age that the person has reached on their last birthday. One form of verifying the exactness of the age declared by the enumerated is asking for the date of birth, always, of course, when they are in conditions to provide this information.<br /><br />132 - The enumerator should have in mind people's common tendency to round their age, declaring numbers that end in zero or five. Especially in these cases it would be good to find out the date of birth, that is, make sure that the person is not rounding their age, whether it be higher or lower. <br /><br />133 - If the person does not know their age and no way is found to acquire it, be it utilizing their personal documents or asking their neighbors, the enumerator should make an estimation of their age. If the enumerated person is not present, obtain the information from those present who know the person.<br /></svar> Paraguay 1962: Persons less than 1 year old [discrepancies: none] This variable indicates the person's age (in months). 001 0 to 1 months 002 2 months 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 998 Unknown 999 NIU (not in universe) Demographic Variables -- PERSON Marital status <span class="h3">General characteristics</span></p> <p>For individuals of all ages</p> <p><svar v="PY60A415" a="all">5. Marital status: <br /><div class="i1">Mark the appropriate box. <br /><br />[] 1 Single</div><br /><div class="i1">Married:</div><br /><div class="i2">[] 2 Civil and religious ceremony<br />[] 3 Civil ceremony only</div><br /><div class="i1">[] 4 Consensual union<br />[] 5 Widowed<br />[] 6 Divorced</div><br /></svar> <svar v="PY62A415" a="all"><span class="em">Item V: Marriage status</span><br /><br />134 - Annotate the case in the corresponding box, in accordance with the following definitions:<br /><div class="i1">Single: Has never been married and does not live in a consensual union.<br />Married: Has entered marital bonds, maintains that state, and does not live in a consensual union. <br />Consensual union: Live in a marital union without having married. <br />Widow: Having been married, survives the other spouse and has not remarried, nor lives in a consensual union.<br />Divorcee: Has terminated their marital bond with their spouse by judicial decree and has not remarried, nor lives in a consensual union.</div><br /><br /><span class="pg">[pg. 20]</span><br /><br />135 - In the cases in which the first and last name of a woman (Item 1) who declares themselves as married, does not include the last name of the husband, the enumerator should make sure if the marital state given is the true one, basing themselves on the other information obtained. <br /></svar> Paraguay 1962: All persons This variable indicates the person's marital status. 1 Single 2 Married, civil and religious ceremonies 3 Married, civil ceremony only 4 Consensual union 5 Widowed 6 Divorced 9 Unknown Demographic Variables -- PERSON Department of birth <span class="h3">General characteristics</span></p> <p>For individuals of all ages</p> <p><svar v="PY60A416" a="all">6. Place of birth: <br /><div class="i1">If born in Paraguay, write the name of the district of birth. If born abroad write the name of the country.<br /><br />____ District or country</div><br /></svar> <svar v="PY62A416" a="all"><span class="em">Item VI: Place of birth</span><br /><br />136 - For those born in the country, annotate the name of the district of birth. <br /><br />137 - For those born outside the country, annotate the name of the country of birth, in accordance with the borders and denominations of that country on the census day.<br /><br />138 - If the person does not know or has doubts over the name of their country on the census day, annotate the name of the country as of the date of birth of the person, but in this case make note of it in the "observations" section. <br /></svar> Paraguay 1962: All persons This variable indicates the person's department or country of birth. Department is the largest-scale geographic identifier available in the Paraguay samples. 00 Asunción 01 Concepción 02 San Pedro 03 Cordillera 04 Guairá 05 Caaguazú 06 Caazapá 07 Itapua 08 Misiones 09 Paraguarí 10 Alto Paraná 11 Central 12 Ñeembucú 13 Amambay 14 Presidente Hayes 15 Boquerón 16 Olimpo 90 Foreign country 99 Unknown Nativity and Birthplace Variables -- PERSON Year of migration <span class="h3">General characteristics</span></p> <p>For individuals of all ages</p> <p><svar v="PY60A417 PY60A418" a="all">7. Migration: <br /><div class="i1">Write the year in which the person came to reside in the place of enumeration. In other cases, whether the person has "always" lived in the place or is "in transit," mark the appropriate box. <br /><br />____ Year<br /><br />[] 1 Always<br />[] 2 In transit</div><br /></svar> <svar v="PY62A417" a="all"><span class="em">Item VII: Migration</span><br /><br />139 - Annotate the year in which the person came to live or reside in the place where they are enumerated.<br /><br />140 - Place of enumeration means the locality or location, such as: city, town, estate, village, etc., of any population size, where the dwelling of the enumerator is found. <br /><br />141 - Live or reside in the place of enumeration means: establishment in the place for reasons of work, business, family life, or for any other socio-economic reason, for a period of time of six months or more, or for a lesser period, if the person has come to settle in the place. <br /><br />142 - A person should not be considered a resident of the place of enumeration if their residence is for purposes of vacation, visits to family, a study trip, or for a similar cause, for less than six months. <br /><br />143 - If a person has changed their dwelling from one quarter or zone [<span class="lang">parroquia</span>] to another within the same city or town, this should not be considered a change of residence for the purposes of this question.<br /><br />144 - According to these definitions, if the person always lived in the place of enumeration, annotate the box corresponding to the word always with an (x). Otherwise, annotate the year in which they established their residence in the place of enumeration. If the person does not remember exactly the year in which they established their residence in the place of enumeration, annotate the year which appears most probable to this person. <br /><br />145 - In the case of the enumerated who is in the place of enumeration on vacation or on a study or family visit, or who is in the place for some similar reason for less than six months, but without settling in the place, make an (x) in the box corresponding to the words in transit. <br /><br />146 - In the case of a person who has returned to the place of enumeration, after having resided in another place/other places, as long as the absence from the place has been for more than six months, annotate the year of their last arrival to the place. If the absence were for less than six months, even if it were to go and settle in another place, or if it were for purposes of vacation, a study visit, etc., such absence should not be considered. An (x) should be marked in the box corresponding to always. <br /><br /><span class="pg">[pg. 21]</span><br /><br />147 - It is important that, when registering the information pertinent to this item, the enumerator previously verify: <br /><br />a) That the informant does not confuse the year of migration to the place of enumeration with the year of their birth; <br /><br />b) That they do not necessarily have to declare the year that was annotated for the head of household as year of migration for the whole family; <br /><br />c) That the person for whom the box always is registered not have declared a place of birth other than the locality of enumeration;<br /><br />d) That if the person be a foreigner, nationalized or not, the year of their establishment or settlement in the country should be annotated.<br /><br />148 - On the other hand, it is possible: <br /><br />a) That within the same district of birth a person has emigrated from the place of birth to the place where they are enumerated, in which case the year of their migration should be annotated;<br /><br />b) That older persons or elderly, residents of a place for many years, emigrated to the place when they were very young and that they are totally ignorant as to the area from which they came. It is even possible that the year of their migration coincides with the year of their birth. The year of migration should be annotated as exactly as possible. <br /><br />149 - Whenever the year of migration is registered in item 7, the registration of the complementary information should continue in item 8. If the information in Item 7 were registered in the boxes corresponding to always or in transit, the investigation of the topic migration is finished, and the investigation should pass on directly to the items about "educational characteristics." In this last case, a diagonal line should be drawn over the space reserved for the registration of the information in item 8. <br /></svar> Paraguay 1962: Persons who migrated [discrepancies: not verifiable] This variable indicates the person's year of migration to the place of current residence. 1900 1900 or earlier 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 9998 Unknown 9999 NIU (not in universe) Migration: Global Variables -- PERSON Status of non-migrants <span class="h3">General characteristics</span></p> <p>For individuals of all ages</p> <p><svar v="PY60A417 PY60A418" a="all">7. Migration: <br /><div class="i1">Write the year in which the person came to reside in the place of enumeration. In other cases, whether the person has "always" lived in the place or is "in transit," mark the appropriate box. <br /><br />____ Year<br /><br />[] 1 Always<br />[] 2 In transit</div><br /></svar> <svar v="PY62A417" a="all"><span class="em">Item VII: Migration</span><br /><br />139 - Annotate the year in which the person came to live or reside in the place where they are enumerated.<br /><br />140 - Place of enumeration means the locality or location, such as: city, town, estate, village, etc., of any population size, where the dwelling of the enumerator is found. <br /><br />141 - Live or reside in the place of enumeration means: establishment in the place for reasons of work, business, family life, or for any other socio-economic reason, for a period of time of six months or more, or for a lesser period, if the person has come to settle in the place. <br /><br />142 - A person should not be considered a resident of the place of enumeration if their residence is for purposes of vacation, visits to family, a study trip, or for a similar cause, for less than six months. <br /><br />143 - If a person has changed their dwelling from one quarter or zone [<span class="lang">parroquia</span>] to another within the same city or town, this should not be considered a change of residence for the purposes of this question.<br /><br />144 - According to these definitions, if the person always lived in the place of enumeration, annotate the box corresponding to the word always with an (x). Otherwise, annotate the year in which they established their residence in the place of enumeration. If the person does not remember exactly the year in which they established their residence in the place of enumeration, annotate the year which appears most probable to this person. <br /><br />145 - In the case of the enumerated who is in the place of enumeration on vacation or on a study or family visit, or who is in the place for some similar reason for less than six months, but without settling in the place, make an (x) in the box corresponding to the words in transit. <br /><br />146 - In the case of a person who has returned to the place of enumeration, after having resided in another place/other places, as long as the absence from the place has been for more than six months, annotate the year of their last arrival to the place. If the absence were for less than six months, even if it were to go and settle in another place, or if it were for purposes of vacation, a study visit, etc., such absence should not be considered. An (x) should be marked in the box corresponding to always. <br /><br /><span class="pg">[pg. 21]</span><br /><br />147 - It is important that, when registering the information pertinent to this item, the enumerator previously verify: <br /><br />a) That the informant does not confuse the year of migration to the place of enumeration with the year of their birth; <br /><br />b) That they do not necessarily have to declare the year that was annotated for the head of household as year of migration for the whole family; <br /><br />c) That the person for whom the box always is registered not have declared a place of birth other than the locality of enumeration;<br /><br />d) That if the person be a foreigner, nationalized or not, the year of their establishment or settlement in the country should be annotated.<br /><br />148 - On the other hand, it is possible: <br /><br />a) That within the same district of birth a person has emigrated from the place of birth to the place where they are enumerated, in which case the year of their migration should be annotated;<br /><br />b) That older persons or elderly, residents of a place for many years, emigrated to the place when they were very young and that they are totally ignorant as to the area from which they came. It is even possible that the year of their migration coincides with the year of their birth. The year of migration should be annotated as exactly as possible. <br /><br />149 - Whenever the year of migration is registered in item 7, the registration of the complementary information should continue in item 8. If the information in Item 7 were registered in the boxes corresponding to always or in transit, the investigation of the topic migration is finished, and the investigation should pass on directly to the items about "educational characteristics." In this last case, a diagonal line should be drawn over the space reserved for the registration of the information in item 8. <br /></svar> Paraguay 1962: Persons who did not migrate [discrepancies: type I 0.1%; type II 0.1%] This variable indicates whether persons who did not migrate lived always in the sample place or are in transit. 1 Always lived in the place 2 In transit 8 Unknown 9 NIU (not in universe) Migration: Global Variables -- PERSON Department of previous residence <span class="h3">General characteristics</span></p> <p>For individuals of all ages</p> <p><svar v="PY60A419" a="all">8. Place of origin of migration: <br /><div class="i1">Write the name of the district or country (foreigners) of origin and mark the box corresponding to the type of locality. <br /><br />____ District or country<br />[] 1 City, town<br />[] 2 Other</div><br /></svar> <svar v="PY62A419" a="all"><span class="em">Item VIII: Place of origin of migration</span><br /><br />150 - Annotate the name of the District of origin of the person who declared the year (Item 7) in which they established themselves in the place of enumeration. <br /><br />151 - Immediately after annotating the name of the district, annotate if the person who emigrated came from an urban area or a rural area. A person is considered to have come from an urban area if they came from a city or town. They are considered to have emigrated from a rural area if they came from an estate, small village [<span class="lang">paraje</span>], post [<span class="lang">puesto</span>], hamlet, etc., located in any colony or company. <br /><br />152 - In the first case (emigrated from an urban area) mark box 1; and, in the second case (emigrated from a rural area) mark box 2. <br /><br />153 - If the person is a foreigner, simply annotate the name of country of origin and nothing more. <br /><br />154 - If the person, particularly in the case of a national [i.e. citizen], is absolutely ignorant of the name of their district of origin, annotate "unknown."<br /></svar> Paraguay 1962: Persons who migrated [discrepancies: type I 0.3%; type II 0.1%] This variable identifies the person's department or country of previous residence. Department is the largest-scale geographic identifier available in the Paraguay samples. 000 Asunción 001 Concepción 002 San Pedro 003 Cordillera 004 Guairá 005 Caaguazú 006 Caazapá 007 Itapúa 008 Misiones 009 Paraguarí 010 Alto Paraná 011 Central 012 Ñeembucú 013 Amambay 014 Presidente Hayes 015 Boquerón 016 Olimpo 090 Foreign country 998 Unknown 999 NIU (not in universe) Migration: Global Variables -- PERSON Urban or rural previous residence <span class="h3">General characteristics</span></p> <p>For individuals of all ages</p> <p><svar v="PY60A419" a="all">8. Place of origin of migration: <br /><div class="i1">Write the name of the district or country (foreigners) of origin and mark the box corresponding to the type of locality. <br /><br />____ District or country<br />[] 1 City, town<br />[] 2 Other</div><br /></svar> <svar v="PY62A419" a="all"><span class="em">Item VIII: Place of origin of migration</span><br /><br />150 - Annotate the name of the District of origin of the person who declared the year (Item 7) in which they established themselves in the place of enumeration. <br /><br />151 - Immediately after annotating the name of the district, annotate if the person who emigrated came from an urban area or a rural area. A person is considered to have come from an urban area if they came from a city or town. They are considered to have emigrated from a rural area if they came from an estate, small village [<span class="lang">paraje</span>], post [<span class="lang">puesto</span>], hamlet, etc., located in any colony or company. <br /><br />152 - In the first case (emigrated from an urban area) mark box 1; and, in the second case (emigrated from a rural area) mark box 2. <br /><br />153 - If the person is a foreigner, simply annotate the name of country of origin and nothing more. <br /><br />154 - If the person, particularly in the case of a national [i.e. citizen], is absolutely ignorant of the name of their district of origin, annotate "unknown."<br /></svar> Paraguay 1962: Persons who migrated [discrepancies: type I 0.4%; type II 01%] This variable indicates whether the person previously resided in an urban or rural area. 1 Urban 2 Rural 8 Unknown 9 NIU (not in universe) Migration: Global Variables -- PERSON Language spoken in the household <span class="h3">General characteristics</span></p> <p>For individuals of all ages</p> <p><svar v="PY60A421 PY60A422" a="all">9. Language: <br /><div class="i1">Mark the box corresponding to the language habitually spoken in the household. For those who habitually speak Guaraní ([] 1) or a foreign language ([] 4), note as well whether the person is able to speak Spanish. <br /><br />[] 1 Only Guaraní<br />[] 2 Only Spanish<br />[] 3 Spanish and Guaraní<br />[] 4 Foreign language ____ <br /><br />Speaks Spanish?</div><br /><div class="i2">[For persons in households where Spanish is not the habitual language]<br /><br />[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v="PY62A421 PY62A422" a="all"><span class="em">Item IX: Language</span><br /><br />155 - Annotate the name of the language that the person habitually speaks in the household in their daily interaction with their relatives [<span class="lang">parientes o relacionados</span>]. <br /><br />156 - In the particular case where a person speaks only the language Guarani or a foreign language (English, French, German, Italian, etc.) in the household; annotate if, besides this, the person has an understanding of the Spanish language. Mark: yes or no, according to the case. <br /></svar> Paraguay 1962: Persons age 3+ [discrepancies: type I 0.1%; type II 0.4%] This variable indicates the language spoken in the household. 1 Only Guaraní 2 Only Spanish 3 Spanish and Guaraní 4 Only a foreign language 8 Unknown 9 NIU (not in universe) Ethnicity and Language Variables -- PERSON Speaks Spanish <span class="h3">General characteristics</span></p> <p>For individuals of all ages</p> <p><svar v="PY60A421 PY60A422" a="all">9. Language: <br /><div class="i1">Mark the box corresponding to the language habitually spoken in the household. For those who habitually speak Guaraní ([] 1) or a foreign language ([] 4), note as well whether the person is able to speak Spanish. <br /><br />[] 1 Only Guaraní<br />[] 2 Only Spanish<br />[] 3 Spanish and Guaraní<br />[] 4 Foreign language ____ <br /><br />Speaks Spanish?</div><br /><div class="i2">[For persons in households where Spanish is not the habitual language]<br /><br />[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v="PY62A421 PY62A422" a="all"><span class="em">Item IX: Language</span><br /><br />155 - Annotate the name of the language that the person habitually speaks in the household in their daily interaction with their relatives [<span class="lang">parientes o relacionados</span>]. <br /><br />156 - In the particular case where a person speaks only the language Guarani or a foreign language (English, French, German, Italian, etc.) in the household; annotate if, besides this, the person has an understanding of the Spanish language. Mark: yes or no, according to the case. <br /></svar> Paraguay 1962: Persons in households where Spanish is not the habitual language [discrepancies: type I 0.2%; type II 0.1%] This variable indicates whether the person speaks Spanish. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Ethnicity and Language Variables -- PERSON Religion <span class="h3">General characteristics</span></p> <p>For individuals of all ages</p> <p><svar v="PY60A423" a="all">10. Religion.<br /><div class="i1">Mark the appropriate box. <br /><br />[] 1 Catholic<br />[] 2 Christian (non-Catholic)<br />[] 3 Other religion<br />[] 4 None</div><br /></svar> <svar v="PY62A423" a="all"><span class="em">Item X: Religion</span><br /><br />157 - Annotate the religion that the enumerated person professes to be from, in the corresponding box. <br /><br />158 - Christian (non-Catholic), is understood as Methodist, Baptist, Evangelist, and the rest of the denominations used by the religious groups commonly known as Protestants.<br /><br />159 - Under the heading "Other Religion," annotate non-Christian persons, such as Buddhists, Shintoists, Muslims, etc. <br /></svar> Paraguay 1962: All persons This variable indicates the person's religion. 1 Catholic 2 Christian not Catholic 3 Other 4 None 9 Unknown Ethnicity and Language Variables -- PERSON Currently attending school <span class="h3">Educational characteristics </span></p> <p>For persons 7 years of age and older</p> <p><svar v="PY60A424" a="all">11. Currently attending school:<br /><div class="i1">Note whether the person is currently attending an institution of regular schooling, whether public or private. <br /><br />[] 1 Attending<br />[] 2 Not attending</div><br /></svar> <span class="em">Educational characteristics</span></p> <p><svar v="PY62A424" a="all"><span class="em">Item XI: School attendance</span><br /><br />160 - Annotate in the corresponding box if the enumerated person, from the age of seven and up, does or does not attend, on the date of the census, an institute of regular education of the country. <br /><br />161 - Regular education means the education imparted in public or private establishments, within the educational plans or programs officially approved in the country. <br /></svar> Paraguay 1962: Persons age 7+ [discrepancies: type I trace; type II 0.2%] This variable indicates whether the person is currently attending school. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Reason for not attending school <span class="h3">Educational characteristics </span></p> <p>For persons 7 years of age and older</p> <p><svar v="PY60A425" a="all">12. Reasons for not attending school:<br /><div class="i1">Mark the appropriate box (only for those between the ages of 7 and 14 years.)<br /><br />[] 1 There is no school<br />[] 2 There are no higher grades<br />[] 3 Works<br />[] 4 Without economic resources<br />[] 5 Chronic illness<br />[] 6 Other reasons</div><br /></svar> <span class="em">Educational characteristics</span></p> <p><svar v="PY62A425" a="all"><span class="em">Item XII: Reasons for not attending school</span><br /><br />162 - Take note that this topic of census investigation is exclusively restricted to minors, of both sexes, including those of seven to fourteen years of age. <br /><br />163 - Before proceeding to register the information in the corresponding box, verify the age that has been registered for the person, found on question number 4: age in years completed. For those older than fourteen years of age, draw a diagonal line in the space reserved for this answer. <br /></svar> Paraguay 1962: Persons age 7 to 14 not attending school [discrepancies: type I 0.1%; type II 0.4%] This variable indicates the person's reason for not attending school. 1 There is no school 2 There are no higher grades 3 Work 4 Without financial resources 5 Chronic illness 6 Other reasons 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Educational attainment <span class="h3">Educational characteristics </span></p> <p>For persons 7 years of age and older</p> <p><svar v="PY60A426" a="all">13. Educational level:<br /><div class="i1">Note by number the last year completed by the person, on the dotted line corresponding to the level of instruction received (primary, basic, etc.) For those without any schooling, write 0 (zero).<br /><br />____ [] 0 No schooling<br />____ [] 1 Primary<br />____ [] 2 Basic<br />____ [] 3 High school <br />____ [] 4 Teacher training<br />____ [] 5 Commercial<br />____ [] 6 University<br />____ [] 7 Other</div><br /></svar> <span class="em">Educational characteristics</span></p> <p><svar v="PY62A426" a="all"><span class="em">Item XIII: Education level</span><br /><br />164 - Annotate (with a number) the last year of studies attained by the person on the dotted line corresponding to the type of instruction that they have received in a regular education establishment. <br /><br />165 - On the Census form there have been six levels of instruction specifically considered, plus an additional level under the heading: "other;" whose particular cases should be appropriately studied in the process of revision of information, after the enumeration. <br /><br />166 - The aforementioned levels of information are the following: Primary education, which is imparted in Primary Schools, daytime or nighttime and Agricultural Schools; Basic, in the national schools and lyceums; in the Secondary/High schools, Military School, metropolitan and regional Seminaries, and Military Lyceum; Teacher Training, in the National schools for Teachers and Regional schools; Commercial, in the Schools of Commerce; University, in the Schools of Law, Medicine, Economic Sciences, Philosophy and Letters, Architecture, Physical Sciences and Math, Chemistry and Pharmacology, Dentistry, Veterinary, and Agronomics. <br /><br />167 - Education that does not exactly correspond to any of the previous levels is considered under the heading "other," particularly studies in bachelors/high school graduates or University. <br /><br /> 168 - Among these, for example, is the education dictated in the Professional Training Schools for women: dieticians, midwives, nurses, social services, fine arts, and music. For males, vocational schools, or technical schools. <br /><br /><span class="pg">[pg. 23]</span><br /><br />169 - The numbers 0 (zero) through 6 are printed immediately after the specific name of each level of instruction, corresponding to the code by which each level is differentiated. The number corresponding to the years of study attained, within the respective level of instruction, should be annotated on the dotted line immediately after this code. Thus, for example, for a person who attained the fourth year if Primary, the annotation on the form would read: Primary 1 x 4; if they attained the Third year of Basic, it would read: Basic 2 x 3; if they attained the Second year of Teacher Training, it would read: Teacher Training 4 x 2, and so on, depending on the case. <br /><br />170 - For the registration of the information under the heading "other," one should proceed in the same way as for the cases indicated in paragraphs 167 and 168. For example, for a Nurse who attained the first year of study, under the heading "other" write: Nurse 1. And so on depending on the case.<br /><br />171 - For a person who never attained a single year of school annotate a 0 (zero) after the code corresponding to the heading "No education," so that the annotation reads: No education 0 x 0.<br /><br />172 - If the person remembers the level of education attained but not the last year attained, annotate an "X" on the dotted line corresponding to the last level of instruction. For example: Primary 1 x<br /><br />173 - If the person does not remember the level of instruction or the year of study attained, but, being literate, is sure that they attained some year of regular study, annotate a double (XX) on the line corresponding to the heading "Other." For example: Other XX.<br /></svar> Paraguay 1962: Persons age 7+ [discrepancies: type I trace; type II 0.9%] This variable indicates the person's educational attainment. 00 No education 11 Primary, grade 1 12 Primary, grade 2 13 Primary, grade 3 14 Primary, grade 4 15 Primary, grade 5 16 Primary, grade 6 or more 21 Basic (Middle), grade 1 22 Basic (Middle), grade 2 23 Basic (Middle), grade 3 or more 31 Secondary, grade 1 32 Secondary, grade 2 33 Secondary, grade 3 34 Secondary, grade 4 35 Secondary, grade 5 36 Secondary, grade 6 41 Superior/teacher-training, year 1 42 Superior/teacher-training, year 2 43 Superior/teacher-training, year 3 44 Superior/teacher-training, year 4 45 Superior/teacher-training, year 5 46 Superior/teacher-training, year 6 47 Superior/teacher-training, year 7 or more 51 Commercial/vocational, year 1 52 Commercial/vocational, year 2 53 Commercial/vocational, year 3 54 Commercial/vocational, year 4 55 Commercial/vocational, year 5 56 Commercial/vocational, year 6 61 University, year 1 62 University, year 2 63 University, year 3 64 University, year 4 65 University, year 5 66 University, year 6 or more 71 Other, year 1 72 Other, year 2 73 Other, year 3 74 Other, year 4 or more 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Literacy (reads and writes) <span class="h3">Educational characteristics </span></p> <p>For persons 7 years of age and older</p> <p><svar v="PY60A427" a="all">14. Literacy:<br /><div class="i1">Mark the appropriate box according to whether the person is able to read and write.<br /><br />[] 1 Yes<br />[] 2 No</div><br /></svar> <span class="em">Educational characteristics</span></p> <p><span class="em">Item XIV: Literacy</span></p> <p>174 - Find out if the person knows how to read and write and make an (x) in the corresponding box under yes or no, depending on the case. If the person only knows how to read, or can only sign, in either case an (x) should be annotated in the box corresponding to: no. Paraguay 1962: Persons age 7+ [discrepancies: type I trace; type II 0.5%] This variable indicates whether the person is literate (reads and writes). 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Employment status <span class="h3">Occupational (economic) characteristics</span></p> <p>For persons 12 years of age and older</p> <p><svar v="PY60A428" a="all">15. Type of activity: <br /><div class="i1">Mark only one of the boxes as appropriate. Employed: one who on the "Census Day" has a job. Unemployed: one who, having worked before, is without a job and looking for one. Looking for work for the first time: one who has never worked before and is looking for a job. Domestic duties and student: those who spend their time exclusively on care of the household or studies. Retired and pensioners: those who receive a monthly sum from the state, for retirement or pension. Rentier: one who, without working, lives off assets. Other: those not included in any of the above groups. <br /><br />[] 1 Employed<br />[] 2 Unemployed<br />[] 3 Looking for work for the first time<br />[] 4 Domestic duties <br />[] 5 Student<br />[] 6 Retired or pensioner<br />[] 7 Rentier<br />[] 8 Other</div><br /></svar> <span class="em">Occupational characteristics</span></p> <p>Observations</p> <p>175 - The four topics designated Items 15 to 18 are included under the general title "Occupational characteristics." By way of the information collected, the whole population of the country will, first of all, be grouped under two large primary groups:</p> <p>a) The economically active population, and <br />b) The economically non-active population.</p> <p>Each of these two large groups will be, at the same time, differentiated into sub-groups, all and each of which are specified under item 15. </p> <p>176 - The occupation of the enumerated is then investigated (Item 16). When a person has more than one occupation, the one considered is the occupation which provides the greatest amount of income. If a person only has one job, this will be the occupation considered. </p> <p>177 - Then, under the denomination of industry (branch of economic activity), the type of industry or place of work where the occupation is carried out is investigated (Item 17), and the category or title with which they carried it out, be it as an employee, laborer, etc., (Item 18). </p> <p>178 - To obtain a rational and appropriate grouping of the information, numerous individual situation should be considered; those that have been adjusted to definitions refined by economics, sociologists, and demographers. These definitions, and the methodological procedure of the registration of the data, are structured in such as was as to reflect the occupational situation of the enumerated on the "Census day."</p> <p><span class="pg">[pg. 24]</span></p> <p>These definitions, and the methodological procedures of the registration of the data, are structured in such a way that they reflect the occupational situation of the enumerated on the "Census day." </p> <p>179 - The information solicited for the topics designated in Items 15 thru 18 are intimately correlated. This means that once the basic, initial information has been registered in Item 15, no information should be annotated in Items 16 thru 18 without first of all clarifying whether or not it follows the information registered in the Item immediately preceding it. Thus, information should always be registered in Item 15, but should conditionally be registered in items 16 thru 18, depending on situation of the persons being enumerated.</p> <p><span class="em">Item XV: Type of activity</span></p> <p>180 - The type of occupational activity or situation of the persons on the "census day" will be annotated under this item, distinguishing the different situations by way of the denominations and definitions that are indicated for the different groups. </p> <p>181 - Only one of the boxes on the form should be annotated for each person enumerated, above twelve years of age.</p> <p>The following specifies, in detail, the type of people that are included in each group:</p> <p>Employed:</p> <p>182 Includes all persons who are employed on the "Census day" - that is to say, that have jobs. The following classes can be distinguished: </p> <p>a) Persons who work for someone who is not a family members, receiving a monetary pay (salary, commission, etc.) or material goods (house, food, etc.), for the work that they do, of any type; </p> <p>b) Persons who work on a farm plot [<span class="lang">chacra</span>], estate, commerce, or industry, or carry out a profession, be it by themselves or with the help of one or more persons, to whom they pay a wage or salary; </p> <p>c) Persons who work for another family member on a farm ["estancia"], store, workshop, office, etc., with or without pay. In this last case - those who work for a member of a family without receiving pay - they are considered employed as long they work at least three hours a day, or the equivalent of two eight-hour days of work, per week. </p> <p>183 - Also included in this group (employed) are those people who are not found, on the "Census day," to be exercising their occupation for reasons of sickness, vacation, strike, or temporary job interruption, or any other type of reason that does not signify a permanent retirement by the person.</p> <p>Unemployed:</p> <p>184 - Includes all the persons who, on the "Census day," do not have a job or paid work, but who have worked before and are seeking work. Those persons who are not looking for work because they have obtained a job that they will start after the date of the "Census day" should also be included in this group.</p> <p>Seeking work for the first time</p> <p>185 - Includes all persons who have never worked, and who are seeking their first employment.</p> <p>Domestic duties</p> <p>186 - Includes persons who dedicate themselves exclusively to domestic duties in their own household. When this labor is done for pay (as a salary or in material goods), such as is the case for domestic servants, the respective person will be annotated as "occupied."</p> <p>Student</p> <p>187 - Includes all persons who dedicate themselves exclusively to studying. </p> <p>188 - If a person dedicated to "Domestic Duties," or a "Student" carry's out a paid occupation, on the date of the census, they are automatically considered to be an "employed" person.</p> <p>Retired or Pensioner</p> <p>189 - Includes all those persons who do not carry out a paid occupation and who receive a monthly sum from the State for retirement or for pension. Therefore, widows and other persons who receive pensions, including non-contributory pensions [<span class="lang">pensiones graciables</span>], fall into this group.</p> <p>Rentier</p> <p>190 - Includes persons who do not carry out a paid activity and who live from the product of their assets.</p> <p>Other</p> <p>191 - Includes all those persons who do not carry out a paid activity because of physical or mental incapacity (invalids), shut-ins [<span class="lang">vida de clausura</span>], or judicial order (prisoners). This also includes all persons who cannot classify themselves within any of the preceding groups, such as minors who do not attend school, and elderly persons without economic recourses, etc. If the incapacity is temporary, the person should be classified as "employed," as long as their employment is in some way assured. </p> <p>192 - Once a person is classified under this item, continue with the annotation pertinent to the following item, number 16, only for those who have been placed into one of the groups: "employed," "unemployed," and "seeking work for the first time." For persons classified under any of the other groups ("domestic duties," "student," "retired or pensioner," "rentier," and "other") the census investigation is finished, and the spaces reserved for the registration of the information solicited in Items 16 thru 18 should be crossed out with a diagonal line. Paraguay 1962: Persons age 12+ [discrepancies: type I trace; type II 0.6%] This variable indicates the person's employment status. 01 Employed 02 Unemployed 03 Looked for work for the first time 04 Household duties 05 Student 06 Retired 07 Rentier 08 Other 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Occupation (1-digit) <span class="h3">Occupational (economic) characteristics</span></p> <p>For persons 12 years of age and older</p> <p><svar v="PY60A429" a="all">16. Occupation: ____<br /><div class="i1">Only for those who are employed, unemployed or looking for work for the first time. If an employed person has more than one occupation, write the one which produces the most income. For the unemployed, write the most recent occupation. For one looking for work for the first time, write the profession or position if there is one, or else write "none." Examples of occupation: lawyer, carpenter, bricklayer, paymaster, tractor driver, etc.</div><br /></svar> <svar v="PY62A429 PY62A439" a="all"><span class="em">Item XVI: Occupation</span><br /><br />193 - Specifically annotate the profession, office, or class of work that they carry out on the census day, but only for the persons classified in the preceding item (item 15) under one of the three groups: "employed," "unemployed," and "seeking work for the first time."<br /><br /><span class="pg">[pg. 26]</span><br /><br />194 - Avoid vague designations, such as: laborer, operator, office worker, vendor, etc.; employ, rather, designation that give the most complete idea possible of the person's occupation, for example: agronomical engineer, movie operator, fruit vendor, travel agent, shoemaker's apprentice, etc. <br /><br />195 - There are some occupations of laborers, artisans, and professionals for whom their simple denominations precisely define their occupations, such as: carpenters, masons, plumber, medic, lawyer, etc. <br /><br />196 - On the other hand, certain occupations in the commercial field require specification, such as sales agent, etc. Similarly, in the case of the office workers, clarify if they are typist, cashier, treasurer, bookkeeper, archivist, etc. <br /><br />197 - In the case of professionals, such as medics, lawyer, engineers, etc., this is the type of occupation that, in general, should be registered. Cases do exist, however, in which such persons do not carry out the given professions, dedicating themselves to other activities. For example, a lawyer who works exclusively in the management of a Bank; a medic who dedicates him or her self exclusively to teaching in a university. In these cases, the last activity mentioned will be annotated, such as: bank manager, or university professor, and the like, depending on the case. <br /><br />198 - For the government employees, annotate, in like manner, their specific occupations in accordance with the examples given in the preceding cases, avoiding the designation of "public employee." If the person is a member of the "armed forces" (not including police), no matter what their class or position, they should be annotated as "military personnel." <br /><br />199 - With respect to the domestic servants, it should be specified whether or not this is a case of, for example, cook, clothes-washer, babysitter, cleaner, etc. In the same way, in the case of those who work in agricultural fields, the term "farmer" should be reserved for those who direct a farm of which they are the owners, or "foreman" or "administrator" when they are not owners of the farm which they direct. "Agriculturist" would be a person who directs the workings of a farm plot [<span class="lang">chacra</span>]. <br /><br />For those who work in specific activities (milkers, herdsman, animal trainers/breakers, tractor drivers, peons, etc.) annotate their specific occupation. <br /><br />200 - In the case of "unemployed" persons, annotate the last employment they carried out. <br /><br />201 - For the persons who are "seeking work for the first time," register the profession, office, or type of work which they are capable or have permission to do [<span class="lang">clasificadas</span>], and in a case where they are not capable nor have permission for any, simply register: "none." Having made the annotation of the occupation, according to the case, the census investigation is over for this group of persons. Therefore, draw a diagonal line over the area corresponding to the information pertaining to the following Items (Items 17 and 18). <br /></svar> Paraguay 1962: Persons age 12+ economically active [discrepancies: type I trace; type II 2.9%] This variable indicates the person's occupation (general). 00 Professionals, technicians and persons in similar occupations 01 Managers, administrators, and officials in directive positions 02 Office employees and persons in similar occupations 03 Salesmen and persons in similar occupations 04 Farmers, ranchers, fishermen, hunters, forestry workers, and persons in similar occupations 05 Miners, quarry workers, and persons in similar occupations 06 Transportation conductors and persons in similar occupations 07 Artisans and operators in occupations related to weaving and sewing clothing and footwear, carpentry, construction industry, mechanics, and graphic arts 08 Other artisans and operators 09 Workers and day laborers not listed elsewhere 10 Workers in personal services and in similar occupations 11 Other workers not listed elsewhere and workers in occupations not identified or not declared 98 Unknown 99 NIU (not in universe) Work: Occupation Variables -- PERSON Occupation <span class="h3">Occupational (economic) characteristics</span></p> <p>For persons 12 years of age and older</p> <p><svar v="PY60A429" a="all">16. Occupation: ____<br /><div class="i1">Only for those who are employed, unemployed or looking for work for the first time. If an employed person has more than one occupation, write the one which produces the most income. For the unemployed, write the most recent occupation. For one looking for work for the first time, write the profession or position if there is one, or else write "none." Examples of occupation: lawyer, carpenter, bricklayer, paymaster, tractor driver, etc.</div><br /></svar> <svar v="PY62A429 PY62A439" a="all"><span class="em">Item XVI: Occupation</span><br /><br />193 - Specifically annotate the profession, office, or class of work that they carry out on the census day, but only for the persons classified in the preceding item (item 15) under one of the three groups: "employed," "unemployed," and "seeking work for the first time."<br /><br /><span class="pg">[pg. 26]</span><br /><br />194 - Avoid vague designations, such as: laborer, operator, office worker, vendor, etc.; employ, rather, designation that give the most complete idea possible of the person's occupation, for example: agronomical engineer, movie operator, fruit vendor, travel agent, shoemaker's apprentice, etc. <br /><br />195 - There are some occupations of laborers, artisans, and professionals for whom their simple denominations precisely define their occupations, such as: carpenters, masons, plumber, medic, lawyer, etc. <br /><br />196 - On the other hand, certain occupations in the commercial field require specification, such as sales agent, etc. Similarly, in the case of the office workers, clarify if they are typist, cashier, treasurer, bookkeeper, archivist, etc. <br /><br />197 - In the case of professionals, such as medics, lawyer, engineers, etc., this is the type of occupation that, in general, should be registered. Cases do exist, however, in which such persons do not carry out the given professions, dedicating themselves to other activities. For example, a lawyer who works exclusively in the management of a Bank; a medic who dedicates him or her self exclusively to teaching in a university. In these cases, the last activity mentioned will be annotated, such as: bank manager, or university professor, and the like, depending on the case. <br /><br />198 - For the government employees, annotate, in like manner, their specific occupations in accordance with the examples given in the preceding cases, avoiding the designation of "public employee." If the person is a member of the "armed forces" (not including police), no matter what their class or position, they should be annotated as "military personnel." <br /><br />199 - With respect to the domestic servants, it should be specified whether or not this is a case of, for example, cook, clothes-washer, babysitter, cleaner, etc. In the same way, in the case of those who work in agricultural fields, the term "farmer" should be reserved for those who direct a farm of which they are the owners, or "foreman" or "administrator" when they are not owners of the farm which they direct. "Agriculturist" would be a person who directs the workings of a farm plot [<span class="lang">chacra</span>]. <br /><br />For those who work in specific activities (milkers, herdsman, animal trainers/breakers, tractor drivers, peons, etc.) annotate their specific occupation. <br /><br />200 - In the case of "unemployed" persons, annotate the last employment they carried out. <br /><br />201 - For the persons who are "seeking work for the first time," register the profession, office, or type of work which they are capable or have permission to do [<span class="lang">clasificadas</span>], and in a case where they are not capable nor have permission for any, simply register: "none." Having made the annotation of the occupation, according to the case, the census investigation is over for this group of persons. Therefore, draw a diagonal line over the area corresponding to the information pertaining to the following Items (Items 17 and 18). <br /></svar> Paraguay 1962: Persons age 12+ economically active [discrepancies: type I 0.1%; type II 0.3%] This variable indicates the person's occupation (detailed). 0000 Architects, engineers, and persons in similar occupations 0001 Chemists, pharmacists, and persons in similar occupations 0002 Agronomists, veterinarians, and persons in similar occupations 0003 Doctors, surgeons, and dentists 0005 Nurses and midwives 0006 Professors and teachers 0008 Lawyers, judges and persons in similar occupations 0009 Artists, writers, entertainers, and persons in similar occupations 0010 Persons in religious occupations and occupations related to social welfare 0011 Person in other occupations similar to professional and technicians 0100 Directive employees in public administration 0101 Directors and managers in wholesale and retail commerce 0102 Other directors, managers and owner-administrators 0109 Managers, administrators, and officials in directive positions, unknown occupation 0200 Accountants and accounting assistants 0201 Bookkeepers, cashiers, accounts collectors, and persons in similar occupations 0202 Typists and shorthand takers 0205 Mailmen and messengers 0206 Telephone operators, telegraph operators, and other telecommunications operators 0207 Other office workers and persons in similar occupations in transportation and communications services 0208 Other office workers and persons in similar occupations 0300 Salesmen-owners in wholesale and retail commerce 0301 Store employees and door-to-door [traveling] salesmen 0302 Business travelers, representatives, and commission salesmen in wholesale commerce 0303 Other salesmen and persons in similar occupations 0400 Farmers, ranchers, and administrators in agricultural enterprises 0401 Farmer workers and gardeners 0402 Fishermen and persons in similar occupations 0404 Forestry workers, cork workers and persons in similar occupations 0503 Quarry workers and persons in other occupations of extracting other solid non-metallic minerals 0600 Drivers, truck drivers, car drivers and other vehicles drivers 0603 Sailors, ship hands and boaters in maritime and fluvial transportation 0609 Persons in other occupations related to transportation conducting 0700 Spinners (bobbin winders), weavers, dyers and persons in related occupations 0701 Tailors, seamstresses, tanners and persons in similar occupations related to the production of products made of textiles and leather goods for clothing 0702 Shoemakers, shoe repairmen, and person in occupations related to the production of leather goods 0703 Carpenters, cabinetmakers, barrel makers and persons in similar occupations 0704 Constructions workers, bricklayers, window installers and persons in similar occupations 0705 Painters and wallpaper installers 0706 Pipe fitters, pipe installers, riveters, and iron structure installers 0707 Electricians, electrical cable installers, radio and television repairmen and persons in similar occupations 0708 Machinery and vehicle mechanics, tool machinery operators and persons in similar occupations 0709 Precision machinery mechanics, watchmakers, jewelers and persons in similar occupations 0710 Operators of stationery machinery, excavation and elevating machinery and persons in similar occupations 0711 Typesetters, printers, lithographers, recorders, binders and persons in similar occupations 0800 Foundry workers, laminators, blacksmiths, forge workers and other persons in related occupations 0801 Fired ceramic makers, molders, glassblowers and other workers in ceramic, glass, and stone products 0802 Chemical cooks, roasters, molders, distillers, and other operators of the chemical industries 0803 Slaughterers, butchers, bakers, beer makers and persons in similar occupations 0804 Cigarette makers and other operators in tobacco processing 0805 Tanners, stretchers, skinners and other operators in tanning and leather and skin processing 0807 Operators in the manufacture of machinery, electrical equipment and transportation equipment 0809 Operators in the production process and similar occupations not listed elsewhere 0811 Bottlers, packers, labelers and similar occupations 0900 Construction workers and day laborers 0901 Stackers, loaders and other transportation day laborers 0902 Washers, pressers, dyers in cleaning facilities and other similar workers 0903 Other workers and day laborers 1001 Workers in protection services 1002 Cooks and other servants or employees in private homes 1004 Workers in restaurants and cafes, bartenders and workers in similar occupations 1005 Cooks, housekeepers, managers of guest houses and workers in similar occupations not employed in private homes 1006 Barbers, hairdressers, beauticians, and similar workers 1007 Doormen, concierges, elevator operators in buildings and workers in similar occupations 1008 Athletes, sportsmen, and workers in similar occupations 1009 Photographers and similar workers 1010 Embalmers and funeral directors 1011 Other service workers 1100 Members of the armed forces, serving in their territory 1105 Persons who declare unidentifiable occupations 1106 Persons who do not declare any occupation 1109 Other workers not listed elsewhere and workers in occupations not identified or not declared, unknown occupation 1110 Other occupation, response suppressed for confidentiality 9998 Unknown 9999 NIU (not in universe) Work: Occupation Variables -- PERSON Industry (1 digit) <span class="h3">Occupational (economic) characteristics</span></p> <p>For persons 12 years of age and older</p> <p><svar v="PY60A430 PY60A431 PY60A432" a="all">17. Industry (branch of economic activity): ____<br /><div class="i1">Only for those employed or unemployed. Specify the type of establishment where the person performs the declared occupation, or if unemployed, the type of establishment where last employed. Examples: textile factory, shoe store, public school, law office, estate, ranch, etc.</div><br /></svar> <svar v="PY62A430 PY62A431 PY62A432" a="all"><span class="em">Item XVII: Industry (branch of economic activity)</span><br /><br />202 - Industry means the type of business, establishment, office, organization, company, institution, etc., in which the person carries out the declared occupation. <br /><br />203 - Annotate the information only for those persons for whom, in the previous Item (Item 16), an occupation was registered, and who pertain to one or the other of the groups: "employed," or "unemployed." <br /><br /><span class="pg">[pg. 27]</span><br /><br />204 - As in the case of the occupation, try to be as concrete as possible in registering the type of establishment in which the person works or worked (in the case of "unemployed"), avoiding vague denominations. Therefore, avoid denominations such as workshop, office, store, company, factory, warehouse, etc. and instead specify in the following manner: shoe factory, radio repair shop, bookkeeper, leather storage shed, air transport company, refrigeration, construction company, textile factory, refinery, etc. <br /><br />205 - Avoid annotating denominations that are based exclusively on the name of the establishment, such as "The Violeta" factory, "Fenix House," etc, and which do not give any idea about the type of industry or business carried out. <br /><br />206 - In the case of mixed businesses, such as a hair cutting place in which one also has a small store or sells lottery tickets or tobacco, register the business which provides the most benefit or which the proprietor considers most important. <br /><br />207 - If the person is a government employee, of an autonomous, semi-autonomous or municipal entity, annotate the proper name of the department in which they work, such as: Housing Ministry, Copacar, Apal, Municipal Bacteriological Institute, etc."<br /><br />208 - If the person carries out the same occupation in more than one business or industry, the type of industry from which they receive their greatest income should be annotated. For example, in the case of a bookkeeper who keeps the books for a glass factory, a woman's clothing store, and a transport company, and receives their greatest income from the glass factory, this should be annotated as their "industry." It should be understood that this is not a case of a person who has an accountant firm and who attends a variety of clients, in the way that is done in many professions (medics, dentists, etc.). <br /><br />209 - If the person carries out their occupation in a company that functions in two or more different industrial activities, the industrial activity with which the person is directly associated should be annotated, as long as this is one of the principal activities of the company, and not an accessory activity. Examples:<br /><br />a) In the case of a single company that has factory for coaches, and one for furniture, the employee principle industry will be annotated as "coach factory" or "furniture factory," in accordance with the industry in which he works;<br /><br />b) If a textile factory has its own electric plant that provides it with its necessary driving power, a person who works in the factory should be annotated as working principally in the industry of "textile factory," and not in "electric plant," since the latter activity is an accessory to the factory. <br /><br />210 - With respect to domestic servants, their principle industry should be annotated as, "family house," or "group quarters."<br /></svar> Paraguay 1962: Persons age 12+ employed or unemployed [discrepancies: type I 0.1%; type II 0.2%] This variable indicates the person's industry (general). 00 Agriculture, forestry, hunting and fishing 01 Mine and quarry operations 02 Manufacturing industries 03 Manufacturing industries 04 Construction 05 Electricity, water, and sanitation services 06 Commerce 07 Transportation, warehouses, and communications 08 Services 09 Unspecified activities 98 Unknown 99 NIU (not in universe) Work: Industry Variables -- PERSON Industry (2 digits) <span class="h3">Occupational (economic) characteristics</span></p> <p>For persons 12 years of age and older</p> <p><svar v="PY60A430 PY60A431 PY60A432" a="all">17. Industry (branch of economic activity): ____<br /><div class="i1">Only for those employed or unemployed. Specify the type of establishment where the person performs the declared occupation, or if unemployed, the type of establishment where last employed. Examples: textile factory, shoe store, public school, law office, estate, ranch, etc.</div><br /></svar> <svar v="PY62A430 PY62A431 PY62A432" a="all"><span class="em">Item XVII: Industry (branch of economic activity)</span><br /><br />202 - Industry means the type of business, establishment, office, organization, company, institution, etc., in which the person carries out the declared occupation. <br /><br />203 - Annotate the information only for those persons for whom, in the previous Item (Item 16), an occupation was registered, and who pertain to one or the other of the groups: "employed," or "unemployed." <br /><br /><span class="pg">[pg. 27]</span><br /><br />204 - As in the case of the occupation, try to be as concrete as possible in registering the type of establishment in which the person works or worked (in the case of "unemployed"), avoiding vague denominations. Therefore, avoid denominations such as workshop, office, store, company, factory, warehouse, etc. and instead specify in the following manner: shoe factory, radio repair shop, bookkeeper, leather storage shed, air transport company, refrigeration, construction company, textile factory, refinery, etc. <br /><br />205 - Avoid annotating denominations that are based exclusively on the name of the establishment, such as "The Violeta" factory, "Fenix House," etc, and which do not give any idea about the type of industry or business carried out. <br /><br />206 - In the case of mixed businesses, such as a hair cutting place in which one also has a small store or sells lottery tickets or tobacco, register the business which provides the most benefit or which the proprietor considers most important. <br /><br />207 - If the person is a government employee, of an autonomous, semi-autonomous or municipal entity, annotate the proper name of the department in which they work, such as: Housing Ministry, Copacar, Apal, Municipal Bacteriological Institute, etc."<br /><br />208 - If the person carries out the same occupation in more than one business or industry, the type of industry from which they receive their greatest income should be annotated. For example, in the case of a bookkeeper who keeps the books for a glass factory, a woman's clothing store, and a transport company, and receives their greatest income from the glass factory, this should be annotated as their "industry." It should be understood that this is not a case of a person who has an accountant firm and who attends a variety of clients, in the way that is done in many professions (medics, dentists, etc.). <br /><br />209 - If the person carries out their occupation in a company that functions in two or more different industrial activities, the industrial activity with which the person is directly associated should be annotated, as long as this is one of the principal activities of the company, and not an accessory activity. Examples:<br /><br />a) In the case of a single company that has factory for coaches, and one for furniture, the employee principle industry will be annotated as "coach factory" or "furniture factory," in accordance with the industry in which he works;<br /><br />b) If a textile factory has its own electric plant that provides it with its necessary driving power, a person who works in the factory should be annotated as working principally in the industry of "textile factory," and not in "electric plant," since the latter activity is an accessory to the factory. <br /><br />210 - With respect to domestic servants, their principle industry should be annotated as, "family house," or "group quarters."<br /></svar> Paraguay 1962: Persons age 12+ employed or unemployed [discrepancies: type I 0.1%; type II 0.2%] This variable indicates the person's industry (detailed). 01 Agriculture and cattle raising 02 Forestry 04 Fishing 14 Extraction of stone, pebbles, and sand 20 Manufacturing Industries 21 Beverage Industry 22 Tobacco Industry 23 Textiles production 24 Production of footwear, clothing 25 Wood, except furniture 26 Furniture made of wood and wicker 28 Graphics industries 29 Industry of leather and leather produces, except footwear and other clothing 31 Manufacture of chemical substances and products 33 Non-metallic minerals 35 Manufacture of metal products, except machinery and transportation equipment 37 Assembly of machinery, appliances, accessories, and articles 38 Transportation materials 39 Diverse manufacturing industries 40 Construction 51 Electricity 52 Distribution of water and sanitary services 61 Wholesale and retail commerce 62 Banks and other financial institutions 63 Insurance 71 Transportation 73 Communications 81 Government services 82 Public services 83 Business and personal services 84 Recreational services 85 Personal services 90 Unspecified activities 95 Other industry, response suppressed for confidentiality 98 Unknown 99 NIU (not in universe) Work: Industry Variables -- PERSON Industry (3 digits) <span class="h3">Occupational (economic) characteristics</span></p> <p>For persons 12 years of age and older</p> <p><svar v="PY60A430 PY60A431 PY60A432" a="all">17. Industry (branch of economic activity): ____<br /><div class="i1">Only for those employed or unemployed. Specify the type of establishment where the person performs the declared occupation, or if unemployed, the type of establishment where last employed. Examples: textile factory, shoe store, public school, law office, estate, ranch, etc.</div><br /></svar> <svar v="PY62A430 PY62A431 PY62A432" a="all"><span class="em">Item XVII: Industry (branch of economic activity)</span><br /><br />202 - Industry means the type of business, establishment, office, organization, company, institution, etc., in which the person carries out the declared occupation. <br /><br />203 - Annotate the information only for those persons for whom, in the previous Item (Item 16), an occupation was registered, and who pertain to one or the other of the groups: "employed," or "unemployed." <br /><br /><span class="pg">[pg. 27]</span><br /><br />204 - As in the case of the occupation, try to be as concrete as possible in registering the type of establishment in which the person works or worked (in the case of "unemployed"), avoiding vague denominations. Therefore, avoid denominations such as workshop, office, store, company, factory, warehouse, etc. and instead specify in the following manner: shoe factory, radio repair shop, bookkeeper, leather storage shed, air transport company, refrigeration, construction company, textile factory, refinery, etc. <br /><br />205 - Avoid annotating denominations that are based exclusively on the name of the establishment, such as "The Violeta" factory, "Fenix House," etc, and which do not give any idea about the type of industry or business carried out. <br /><br />206 - In the case of mixed businesses, such as a hair cutting place in which one also has a small store or sells lottery tickets or tobacco, register the business which provides the most benefit or which the proprietor considers most important. <br /><br />207 - If the person is a government employee, of an autonomous, semi-autonomous or municipal entity, annotate the proper name of the department in which they work, such as: Housing Ministry, Copacar, Apal, Municipal Bacteriological Institute, etc."<br /><br />208 - If the person carries out the same occupation in more than one business or industry, the type of industry from which they receive their greatest income should be annotated. For example, in the case of a bookkeeper who keeps the books for a glass factory, a woman's clothing store, and a transport company, and receives their greatest income from the glass factory, this should be annotated as their "industry." It should be understood that this is not a case of a person who has an accountant firm and who attends a variety of clients, in the way that is done in many professions (medics, dentists, etc.). <br /><br />209 - If the person carries out their occupation in a company that functions in two or more different industrial activities, the industrial activity with which the person is directly associated should be annotated, as long as this is one of the principal activities of the company, and not an accessory activity. Examples:<br /><br />a) In the case of a single company that has factory for coaches, and one for furniture, the employee principle industry will be annotated as "coach factory" or "furniture factory," in accordance with the industry in which he works;<br /><br />b) If a textile factory has its own electric plant that provides it with its necessary driving power, a person who works in the factory should be annotated as working principally in the industry of "textile factory," and not in "electric plant," since the latter activity is an accessory to the factory. <br /><br />210 - With respect to domestic servants, their principle industry should be annotated as, "family house," or "group quarters."<br /></svar> Paraguay 1962: Persons age 12+ employed or unemployed [discrepancies: type I 0.1%; type II 0.2%] This variable indicates the person's industry (detailed). 011 Agriculture 012 Cattle raising 021 Lumber extraction 040 Fishing 140 Extraction of stone, pebbles, and sand 200 Cattle slaughtering 201 Preparation and conservation of beef and pork 203 Manufacture of milled products 206 Manufacture of bread products and pastas 207 Sugar mills and refineries 208 Manufacture of caramels, candies, and sweets 209 Food product manufacturing industries 211 Spirits and alcoholic beverages 213 Beer and ice 214 Manufacture of non-alcholic beverages and soft-drinks 221 Cigarette manufacture 222 Cigar manufacture 232 Thread manufacture and weaving 241 Manufacture and assembly of footwear 242 Manufacture of outer clothing (tailoring) 243 Shops for dressmaking, embroidery, and shirt making 244 Manufacture of hat (cloth and palm) 251 Lumber yards and plywood manufacture 252 Construction carpentry 261 Manufacture of furniture and accessories 280 Printers, editorials, and related industries 291 Tanning and finishing shops 292 Manufacture of leather goods, except footwear 314 Manufacture of soap, waxes, polishes, paints and other chemical products not listed elsewhere 316 Manufacture of tannic acid 331 Manufacture of stone products for construction 333 Manufacture of articles made of clay, ceramic, and porcelain 334 Manufacture of cement 335 Manufacture of cement and stone products 351 Sheet metal manufacturing 352 Blacksmiths, welding shops 370 Construction and repair of machinery, appliances, accessories 381 Assembly of ships and boat repair 384 Automobile and bicycle repair 391 Manufactures of jewelry and related articles 392 Manufacturing industries not classified elsewhere 399 Manufacturing not elsewhere classified 400 Construction 511 Light and electrical energy 521 Water supply 611 Wholesale commerce 612 Retail commerce 620 Banks and other financial institutions 630 Insurance 711 Railroad transportation 712 Trams, omnibuses, taxis, etc 716 Water transportation 717 Air transportation 718 Transportation services 730 Communications 810 Government services 821 Public education 822 Medical and sanitary services 824 Religious organizations 826 Commercial and professional associations, labor organizations 829 Public services not classified elsewhere 831 Juridical services 833 Technical services 839 Business services not classified elsewhere 840 Recreational services 841 Lotteries, raffles, etc. 851 Domestic services 852 Restaurants, cafes, and other establishments that serve food 854 Laundromats and laundry services; cleaning and dying 855 Barber shops and beauty parlors 856 Photographic studios and comercial photography 859 Personal services not classified elsewhere 900 Unspecified activities 950 Other industry, response suppressed for confidentiality 998 Unknown 999 NIU (not in universe) Work: Industry Variables -- PERSON Class of worker <span class="h3">Occupational (economic) characteristics</span></p> <p>For persons 12 years of age and older</p> <p><svar v="PY60A433" a="all">18. Employment status (occupational category): ____<br /><div class="i1">Only for those employed and unemployed. Mark only one box as appropriate. <br /><br />Employer: one who operates his own company and pays one or more employees or workers. Own-account worker: one who operates his own company without paid employees or workers. Employee (white-collar): a salaried employee of a boss whose work is primarily intellectual. Worker (manual laborer): one employed by the day or by salary, works for a boss, and whose job consists predominantly of physical activity. Family worker: one who, paid or unpaid, works at least two days out of the week for a family member. <br /><br />[] 1 Employer<br />[] 2 Own-account worker<br />[] 3 Employee<br />[] 4 Worker [manual laborer]<br />[] 5 Paid family worker<br />[] 6 Unpaid family worker</div><br /></svar> <svar v="PY62A433" a="all"><span class="em">Title XVIII: Employment status (occupational category)</span><br /><br />211 - The information about the employment status should be obtained based on the following definitions: <br /><br />Employer<br /><br />212 - A person who owns their own economic company, or who carries out, on their own, a profession or office and who has one or more workers, to whom they pay a salary or wage. This does not include individuals who only have domestic servants. <br /><br /><span class="pg">[pg. 28]</span><br /><br />Self-employed<br /><br />213 - A person who, without depending on an employer, owns their own economic company, or who carries out, on their own, a profession or office, without employing any paid workers. They can work alone or with associate(s).<br /><br />Employee<br /><br />214 - A person whose job mainly involves intellectual effort over physical effort, and who works for pay for a public or private boss or employer, of whose census household they are not a member.<br /><br />The following are also considered employees: <br /><br />a) Directors, managers, administrators, bosses, inspectors, secretaries, and all other managerial personnel of the various levels;<br /><br />b) The professors, salaried professionals, and auxiliary specialists of liberal professions;<br /><br />c) Desk, counter, or office employees, <br /><br />d) Bill collectors, traveling salespersons, agents, company couriers, radio-technicians, operators, flight attendant and pilots. <br /><br />Laborer<br /><br />215 - A person who's job activity is predominantly manual, and who works for a wage or salary for a public or private foreman or employer, of whose census household they are not a member. <br /><br />216 - Domestic servants, that is, those who dedicate themselves to household activities (cook, nanny, valet, servant, etc.) should be considered part of this group; these people's industry is denominated as: "family household."<br /><br />217 - Laborers also include: <br /><br />a) Teachers of manual labor, foremen, boatswain, <span class="lang">apuntadores</span>, officers [skilled workers or <span class="lang">oficiales</span>], semi-officers [unskilled workers or <span class="lang">medio oficiales</span>], apprentices, peons, <span class="lang">changadores</span>; <br /><br />b) Drivers, machinists, fireperson [<span class="lang">foguistas</span>];<br /><br />c) The foremen and peons of agricultural projects,<br /><br />d) Deliverers, doorkeepers, packagers, waiters;<br /><br />e) Hair cutters, hair stylists, manicurists, and other operators of a beauty salon.<br /><br />218 - Make a mark in the corresponding box only for those persons who are classified as "employed," or "unemployed."<br /></svar> Paraguay 1962: Persons age 12+ employed or unemployed [discrepancies: type I trace; type II 0.2%] This variable indicates the class of worker. 1 Boss/employer 2 Own-account worker 3 White collar/managerial/office worker 4 Blue collar/manual laborer 5 Paid family worker 6 Unpaid family worker 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Children ever born <span class="h3">Other characteristics</span></p> <p>For those of the age indicated.</p> <p><svar v="PY60A434 PY60A435" a="all">19. Fertility:<br /><div class="i1">For women 12 years of age and older. <br /><br />Write the number of children born alive to each woman and the age at which she had her first child. <br /><br />____ Number of children<br />____ Years. Age at birth of first child</div><br /></svar> <svar v="PY62A434 PY62A435" a="all"><span class="em">Item IXX: Fertility</span><br /><br />220 - These questions should be asked of all women ages twelve and above who have had children, no matter what the civil state was that they previously declared, including that of single. <br /><br />221 - Annotate the total number of children they have had, born alive to the mothers, including in this number the children who have died before the census date, and excluding miscarriages/abortions and children born dead. <br /><br /><span class="pg">[pg. 29]</span><br /><br />222 - If the person declares that they have not had any children, either alive or dead, annotate a zero on the respective dotted line on the Census Form. <br /><br />223 - Remember that there is a tendency to forget or not declare children born alive who are no longer in the household with the mother, due to their being interned in a boarding school, or some other type of institution, or who live with other family members, as often occurs with children who were had from previous marriages or consensual unions. <br /><br />224 - For this reason the enumerator should try to obtain the most precise number possible of the total number of children born alive to the mother. At the same time, the enumerator should employ the greatest prudence, ability, and discretion in asking these questions. <br /><br />225 - In all cases, the fact that the enumerator suffers some rejection or irony from some families in asking these questions in reference to single women should not be a motive for them to stop asking such questions in all the households that they have to enumerate. <br /><br />226 - Once the total number of children born alive to the mother has been annotate, the age, in completed years, at which the mother had her first child should also be annotate on the corresponding dotted line. <br /></svar> Paraguay 1962: Females age 12+ [discrepancies: type I 0.3%; type II 12.8%] This variable indicates the woman's children ever born. 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Age at first birth <span class="h3">Other characteristics</span></p> <p>For those of the age indicated.</p> <p><svar v="PY60A434 PY60A435" a="all">19. Fertility:<br /><div class="i1">For women 12 years of age and older. <br /><br />Write the number of children born alive to each woman and the age at which she had her first child. <br /><br />____ Number of children<br />____ Years. Age at birth of first child</div><br /></svar> <svar v="PY62A434 PY62A435" a="all"><span class="em">Item IXX: Fertility</span><br /><br />220 - These questions should be asked of all women ages twelve and above who have had children, no matter what the civil state was that they previously declared, including that of single. <br /><br />221 - Annotate the total number of children they have had, born alive to the mothers, including in this number the children who have died before the census date, and excluding miscarriages/abortions and children born dead. <br /><br /><span class="pg">[pg. 29]</span><br /><br />222 - If the person declares that they have not had any children, either alive or dead, annotate a zero on the respective dotted line on the Census Form. <br /><br />223 - Remember that there is a tendency to forget or not declare children born alive who are no longer in the household with the mother, due to their being interned in a boarding school, or some other type of institution, or who live with other family members, as often occurs with children who were had from previous marriages or consensual unions. <br /><br />224 - For this reason the enumerator should try to obtain the most precise number possible of the total number of children born alive to the mother. At the same time, the enumerator should employ the greatest prudence, ability, and discretion in asking these questions. <br /><br />225 - In all cases, the fact that the enumerator suffers some rejection or irony from some families in asking these questions in reference to single women should not be a motive for them to stop asking such questions in all the households that they have to enumerate. <br /><br />226 - Once the total number of children born alive to the mother has been annotate, the age, in completed years, at which the mother had her first child should also be annotate on the corresponding dotted line. <br /></svar> Paraguay 1962: Females age 12+ who ever had children [discrepancies: type I trace; type II trace] This variable indicates the woman's age at first birth. 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 or older 98 Unknown 99 NIU (not in universe) Other Person Variables -- PERSON Physical disability <span class="h3">Other characteristics</span></p> <p>For those of the age indicated.</p> <p><svar v="PY60A436" a="all">20. Permanent physical disabilities:<br /><div class="i1">(For those affected, of any age.) Mark the box as appropriate.<br /><br />[] 1 Blind<br />[] 2 Deaf<br />[] 3 Deaf-mute</div><br /></svar> <svar v="PY62A436" a="all"><span class="em">Item XX: Permanent physical disabilities</span><br /><br />227 - Annotate the permanent physical impediment(s) of the affected person (of any age) by marking an (x) in the corresponding box. <br /></svar> Paraguay 1962: Disabled persons [discrepancies: not verifiable] This variable indicates whether the person has a physical disability. 1 Blind 2 Deaf 3 Deaf-mute 8 Unknown 9 NIU (not in universe) Disability Variables -- PERSON