Sexto Censo de Población y Segundo de Vivienda de Panamá 1960 DDI_PAN_1960_PHC_v01_M_v7.6_A_IPUMS IPUMS

Integrated Public Use Microdata Series (IPUMS) International

 IPUMS April 1, 2025 IPUMS, 50 Willey Hall, 225 - 19th Avenue South, Minneapolis, MN 55455 Organization for Economic Co-operation and Development, Development Co-operation Directorate JADE#:60525;MEHLB(2010)12 IPUMS Version 7.6 October 2025 : NEW FEATURES. --NO "new features" listed in Revision History NEW SAMPLES. --Six new census samples for Honduras (2013), Kenya (2019), Malawi (2018), Mongolia (2010, 2020), and Mozambique (2017) were added to the data series. All census samples extend pre-existing series for those countries. --91 quarterly labor force surveys from the Philippines (1997 - 2019) were added to IPUMS. SUPPLEMENTAL DATA. --No "supplemental data" listed in revision history NEW VARIABLES. --New spatially harmonized birthplace and previous-residence variables are available for samples in this data release. More information is available here (https://international.ipums.org/international/geo_mig.shtml). --Users should note that many older migration and birthplace variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. For birthplace variables refer to this table (https://international.ipums.org/international/resources/misc_docs/migCrosswalk_names.pdf). EDITED SAMPLES. --For the Zambia 2000 sample, an error in the household breaks was corrected, resulting in the creation of 1,988 new households (1% increase) that were previously combined with other households. The person records included in the sample did not change. Due to an inconsistency in the original file, no household-level information other than geographic location is available for these newly identified households, necessitating the addition of "unknown" values for this sample to the following variables: BEDROOMS, ELECTRIC, FLOOR, FUELCOOK, FUELHEAT, OWNERSHIP, PHONE, RADIO, REFRIG, ROOMS, SEWAGE, TRASH, WATSRC, TV, TOILET, GQ, ROOF, WATSUP, BIKE, MOTORCYCLE, KITCHEN, GQTYPE, AUTOS, and WALL. EDITED VARIABLES. --For the 1998 and 2008 Malawi samples, the family interrelationship pointer variables MOMLOC and POPLOC were modified to allow a "Spouse/partner" of the household head to be linked as a parent to an "Other relative", because the enumeration instructions specify that adopted and stepchildren were categorized as "Other relative". These samples are now consistent with the links made in the newly released 2018 Malawi sample, which had the same enumeration instructions for adopted and stepchildren. --In the samples for Côte d'Ivoire 1988 and 1998, Rwanda 1991 and 2002, Togo 1960 and 2010, and South Africa 2001, for the harmonized variable POLYGAM, persons in consensual unions were previously coded as "No, in monogamous union". Because there was no response option in these samples for polygamous consensual unions, it is more appropriate to treat these cases as not-in-universe, so they have been recoded to "NIU (not in universe)". --MARST has been edited for Honduras 1974 to reclassify the source variable responses "married, wife lives separately" and "consensual union, companion lives separately" as separations. The documentation suggests that "separately" actually indicates a relationship separation and not an absent spouse or companion. Other minor edits were implemented for MARST for Mozambique 1997 and 2007. --In the Mozambique 1997 sample, an error was corrected that recoded persons with a relationship of "Unknown" in the source data to "Other relative or non-relative" (6000) in the harmonized variable RELATE. These persons are now coded as "Not Stated/Unknown" (9999). --In the Malawi 1987, 1998, and 2008 samples, for variable WATSUP, a programming error was corrected such that any households who reported having piped water in either the wet or the dry season are classified as having access to piped water. This programming was also applied to the newly released 2018 sample. --The NATIVITY variable has been edited in the Chile 2017 sample to correct a programming error that mistakenly classified as foreign-born about 20 thousand person records that were actually native-born. --The MIGRATE5 variable has been edited in the Chile 2017 sample, given a programming error that classified most migrants as having changed their major geographic unit. The MIGRATE5 variable for the Chile 1982 and 1992 samples has been edited to use spatially harmonized geographic units to calculate migration status. --In the 1989, 1999, and 2009 Kenya samples, households who indicated that their lighting type or fuel was "Solar" were recoded from "No" to "Yes" in ELECTRIC, based on secondary sources documenting the spread of home solar energy systems in Kenya beginning in the mid-1980s. In the 1989 and 1999 Kenya samples, programming was removed that previously recoded households that reported using electricity as their main cooking fuel to "Yes" in the access to electricity variable ELECTRIC, making it more consistent across samples. Other minor edits were implemented for ELECTRIC in Botswana 2011, Ethiopia 1984 and 1994, Mongolia 1989, Mozambique 2007. --Some samples in DISCARE classified responses indicating "some" difficulty into "yes". These cases were revised to consistently include in "yes" only responses indicating "a lot of difficulty" or "cannot do at all". --Some codes were improperly labeled for municipalities in Honduras 1961 and 1974, which affect variables on place of residence, birthplace, and previous residence. Sexto Censo de Población y Segundo de Vivienda de Panamá 1960 - IPUMS Subset PHC pa1960a (IPUMS Harmonized Subset) PAN_1960_PHC_v01_M_v7.6_A_IPUMS Contraloria General de la Republica, Direccion de Estadistica y Censo, Departamento de Censos IPUMS (c) Copyright 1960, Contraloria General de la Republica, Direccion de Estadistica y Censo, Departamento de Censos and Minnesota Population Center Contraloria General de la Republica, Direccion de Estadistica y Censo, Departamento de Censos Population and Housing Census [hh/popcen] IPUMS International DOI:10.18128/D020.V7.6 Version 7.6. The datasets contain selected variables from the original microdata plus harmonized variables from the IPUMS-International database. Demographic Variables -- PERSON Geography: Global Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Fertility and Mortality Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Dwelling Characteristics Variables -- HOUSEHOLD Geography: O-Z Variables -- HOUSEHOLD Migration: Global Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Migration: O-Z Variables -- PERSON Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Technical Household Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Geography: O-Z Variables -- HOUSEHOLD Demographic Variables -- PERSON Nativity and Birthplace Variables -- PERSON Migration: Global Variables -- PERSON Other Person Variables -- PERSON Education Variables -- PERSON Work Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON Income Variables -- PERSON Ethnicity and Language Variables -- PERSON Fertility and Mortality Variables -- PERSON December 11, 1960 7a.m. to 7p.m. on December 11, 1960 Panama District with 20,000+ population combined by IPUMS Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: Yes - Households: yes - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: Any place or premises structurally separate or independent, that has been built, made, or converted for use as permanent or temporary housing or lodging of persons or also any class of lodging, fixed or mobile, occupied by persons as a living quarters on the date of the census. - Households: All of the occupants of a private dwelling. The household can consist of a person who lives alone or a group of persons that includes the Head of household, the relatives of this person, boarders, tenants, domestic servants, and any other occupant. When the number of boarders and/or tenants is 6 or more, it constitutes a “non-family group”. - Group quarters: All the occupants of a collective dwelling. The non-family group consists of a group of persons, generally without family ties and who live together for reasons of discipline, of health, of education, etc. such as those who live in convents, penal establishments, asylums, institutions dedicated to the care and rehabilitation of the sick, hotels, boarding houses, etc. All persons present in the territory under the jurisdiction of the Republic and all living units, occupied or not, that exist in the country on December 11, 1960. All persons, whether members of the family or not, who slept in the dwelling the night of the 10th to 11th of December. All persons who live in the dwelling, even if they have not slept there, if they spent the night away from the dwelling because of work, dance, a wake, hunting, fishing, or any other incidental reason. Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Panama 1960 MICRODATA SOURCE: Contraloria General de la Republica, Direccion de Estadistica y Censo, Departamento de Censos SAMPLE SIZE (person records): 53553. SAMPLE DESIGN: 1-in-20 sample drawn by the national statistical office. Method of sampling unknown. Face-to-face [f2f] Enumeration forms: (1) A single enumeration [family] form that requested information on the dwelling and individuals, (2) A group and individual form for non-family groups [group quarters], and (3) An enumeration [short] form for indigenous areas de facto, CENSUS DAY: December 11, 1960 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. Contraloria General de la Republica, Direccion de Estadistica y Censo, Departamento de Censos Steven Ruggles, Lara Cleveland, Rodrigo Lovaton, Sula Sarkar, Matthew Sobek, Derek Burk, Dan Ehrlich, Quinn Heimann, Jane Lee, and Nate Merrill. Integrated Public Use Microdata Series, International: Version 7.6 [dataset]. Minneapolis, MN: IPUMS, 2025. https://doi.org/10.18128/D020.V7.6 Researchers should also acknowledge the statistical agency that originally produced the data: Panama, Contraloria General de la Republica, Direccion de Estadistica y Censo, Departamento de Censos. Sexto Censo de Población y Segundo de Vivienda de Panamá 1960 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 pa1960a, 2025 PAN1960_PHC-H-H.dat Household records 11,869 ascii Minnesota Population Center Version 7.5, IPUMS sample PAN1960_PHC-P-H.dat Person records 53553 ascii Minnesota Population Center Version 7.5, IPUMS sample Record type RECTYPE identifies the type of record for the case: household or person. NOTE: RECTYPE is an alphabetic (character string) variable with a value of 'H' for household records and 'P' for person records. RECTYPE will not appear as a variable in the default rectangular extracts produced by the data extract system. It is only available in hierarchical extracts, to distinguish between the two record types. H Household P Person Technical Household Variables -- HOUSEHOLD Country COUNTRY gives the country from which the sample was drawn. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization). 032 Argentina 051 Armenia 040 Austria 050 Bangladesh 112 Belarus 204 Benin 068 Bolivia 072 Botswana 076 Brazil 854 Burkina Faso 116 Cambodia 120 Cameroon 124 Canada 152 Chile 156 China 170 Colombia 188 Costa Rica 192 Cuba 208 Denmark 214 Dominican Republic 218 Ecuador 818 Egypt 222 El Salvador 231 Ethiopia 242 Fiji 246 Finland 250 France 276 Germany 288 Ghana 300 Greece 320 Guatemala 324 Guinea 332 Haiti 340 Honduras 348 Hungary 352 Iceland 356 India 360 Indonesia 364 Iran 368 Iraq 372 Ireland 376 Israel 380 Italy 384 Côte d'Ivoire 388 Jamaica 400 Jordan 404 Kenya 417 Kyrgyz Republic 418 Laos 426 Lesotho 430 Liberia 454 Malawi 458 Malaysia 466 Mali 480 Mauritius 484 Mexico 496 Mongolia 504 Morocco 508 Mozambique 104 Myanmar 524 Nepal 528 Netherlands 558 Nicaragua 566 Nigeria 578 Norway 586 Pakistan 275 Palestine 591 Panama 598 Papua New Guinea 600 Paraguay 604 Peru 608 Philippines 616 Poland 620 Portugal 630 Puerto Rico 642 Romania 643 Russia 646 Rwanda 662 Saint Lucia 686 Senegal 694 Sierra Leone 703 Slovak Republic 705 Slovenia 710 South Africa 728 South Sudan 724 Spain 729 Sudan 740 Suriname 752 Sweden 756 Switzerland 834 Tanzania 764 Thailand 768 Togo 780 Trinidad and Tobago 792 Turkey 800 Uganda 804 Ukraine 826 United Kingdom 840 United States 858 Uruguay 862 Venezuela 704 Vietnam 894 Zambia 716 Zimbabwe Technical Household Variables -- HOUSEHOLD Year YEAR gives the year in which the census or survey was taken. For samples that span years, the midpoint or first year of the interval is reported. 1703 1703 1729 1729 1787 1787 1801 1801 1819 1819 1845 1845 1848 1848 1850 1850 1851 1851 1852 1852 1860 1860 1861 1861 1865 1865 1868 1868 1870 1870 1871 1871 1875 1875 1880 1880 1881 1881 1885 1885 1890 1890 1891 1891 1900 1900 1901 1901 1910 1910 1911 1911 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1966 1966 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 Technical Household Variables -- HOUSEHOLD IPUMS sample identifier SAMPLE identifies the IPUMS sample from which the case is drawn. Each sample receives a unique 9-digit code. The code is structured as follows: The first 3 digits are the ISO/UN codes used in COUNTRY The next 4 digits are the year of the census/survey The final 2 digits identify the sample within the year. For the last two digits, censuses or large census-like surveys have a value "0" (e.g, 01) in the second-to-last digit, household surveys have a value of "2" (e.g., 21), and employment surveys have a value of "4" (e.g., 41). 032197001 Argentina 1970 032198001 Argentina 1980 032199101 Argentina 1991 032200101 Argentina 2001 032201001 Argentina 2010 051200101 Armenia 2001 051201101 Armenia 2011 040197101 Austria 1971 040198101 Austria 1981 040199101 Austria 1991 040200101 Austria 2001 040201101 Austria 2011 050199101 Bangladesh 1991 050200101 Bangladesh 2001 050201101 Bangladesh 2011 112199901 Belarus 1999 112200901 Belarus 2009 204197901 Benin 1979 204199201 Benin 1992 204200201 Benin 2002 204201301 Benin 2013 068197601 Bolivia 1976 068199201 Bolivia 1992 068200101 Bolivia 2001 068201201 Bolivia 2012 072198101 Botswana 1981 072199101 Botswana 1991 072200101 Botswana 2001 072201101 Botswana 2011 076196001 Brazil 1960 076197001 Brazil 1970 076198001 Brazil 1980 076199101 Brazil 1991 076200001 Brazil 2000 076201001 Brazil 2010 854198501 Burkina Faso 1985 854199601 Burkina Faso 1996 854200601 Burkina Faso 2006 116199801 Cambodia 1998 116200401 Cambodia 2004 116200801 Cambodia 2008 116201301 Cambodia 2013 116201901 Cambodia 2019 120197601 Cameroon 1976 120198701 Cameroon 1987 120200501 Cameroon 2005 124185201 Canada 1852 124187101 Canada 1871 124188101 Canada 1881 124189101 Canada 1891 124190101 Canada 1901 124191101 Canada 1911 124197101 Canada 1971 124198101 Canada 1981 124199101 Canada 1991 124200101 Canada 2001 124201101 Canada 2011 152196001 Chile 1960 152197001 Chile 1970 152198201 Chile 1982 152199201 Chile 1992 152200201 Chile 2002 152201701 Chile 2017 156198201 China 1982 156199001 China 1990 156200001 China 2000 170196401 Colombia 1964 170197301 Colombia 1973 170198501 Colombia 1985 170199301 Colombia 1993 170200501 Colombia 2005 188196301 Costa Rica 1963 188197301 Costa Rica 1973 188198401 Costa Rica 1984 188200001 Costa Rica 2000 188201101 Costa Rica 2011 192200201 Cuba 2002 192201201 Cuba 2012 208178701 Denmark 1787 208180101 Denmark 1801 208184501 Denmark 1845 208188001 Denmark 1880 208188501 Denmark 1885 214196001 Dominican Republic 1960 214197001 Dominican Republic 1970 214198101 Dominican Republic 1981 214200201 Dominican Republic 2002 214201001 Dominican Republic 2010 218196201 Ecuador 1962 218197401 Ecuador 1974 218198201 Ecuador 1982 218199001 Ecuador 1990 218200101 Ecuador 2001 218201001 Ecuador 2010 818184801 Egypt 1848 818186801 Egypt 1868 818198601 Egypt 1986 818199601 Egypt 1996 818200601 Egypt 2006 222199201 El Salvador 1992 222200701 El Salvador 2007 231198401 Ethiopia 1984 231199401 Ethiopia 1994 231200701 Ethiopia 2007 242196601 Fiji 1966 242197601 Fiji 1976 242198601 Fiji 1986 242199601 Fiji 1996 242200701 Fiji 2007 242201401 Fiji 2014 246201001 Finland 2010 250196201 France 1962 250196801 France 1968 250197501 France 1975 250198201 France 1982 250199001 France 1990 250199901 France 1999 250200601 France 2006 250201101 France 2011 276181901 Germany 1819 (Mecklenburg) 276197001 Germany 1970 (West) 276197101 Germany 1971 (East) 276198101 Germany 1981 (East) 276198701 Germany 1987 (West) 288198401 Ghana 1984 288200001 Ghana 2000 288201001 Ghana 2010 300197101 Greece 1971 300198101 Greece 1981 300199101 Greece 1991 300200101 Greece 2001 300201101 Greece 2011 320196401 Guatemala 1964 320197301 Guatemala 1973 320198101 Guatemala 1981 320199401 Guatemala 1994 320200201 Guatemala 2002 324198301 Guinea 1983 324199601 Guinea 1996 324201401 Guinea 2014 332197101 Haiti 1971 332198201 Haiti 1982 332200301 Haiti 2003 340196101 Honduras 1961 340197401 Honduras 1974 340198801 Honduras 1988 340200101 Honduras 2001 340201301 Honduras 2013 348197001 Hungary 1970 348198001 Hungary 1980 348199001 Hungary 1990 348200101 Hungary 2001 348201101 Hungary 2011 352170301 Iceland 1703 352172901 Iceland 1729 352180101 Iceland 1801 352190101 Iceland 1901 352191001 Iceland 1910 356198341 India 1983 356198741 India 1987 356199341 India 1993 356199941 India 1999 356200441 India 2004 356200941 India 2009 360197101 Indonesia 1971 360197601 Indonesia 1976 360198001 Indonesia 1980 360198501 Indonesia 1985 360199001 Indonesia 1990 360199501 Indonesia 1995 360200001 Indonesia 2000 360200501 Indonesia 2005 360201001 Indonesia 2010 364200601 Iran 2006 364201101 Iran 2011 368199701 Iraq 1997 372190101 Ireland 1901 372191101 Ireland 1911 372197101 Ireland 1971 372197901 Ireland 1979 372198101 Ireland 1981 372198601 Ireland 1986 372199101 Ireland 1991 372199601 Ireland 1996 372200201 Ireland 2002 372200601 Ireland 2006 372201101 Ireland 2011 372201601 Ireland 2016 376197201 Israel 1972 376198301 Israel 1983 376199501 Israel 1995 376200801 Israel 2008 380200101 Italy 2001 380201101 Italy 2011 380201121 Italy 2011 Q1 LFS 380201221 Italy 2012 Q1 LFS 380201321 Italy 2013 Q1 LFS 380201421 Italy 2014 Q1 LFS 380201521 Italy 2015 Q1 LFS 380201621 Italy 2016 Q1 LFS 380201721 Italy 2017 Q1 LFS 380201821 Italy 2018 Q1 LFS 380201921 Italy 2019 Q1 LFS 380202021 Italy 2020 Q1 LFS 384198801 Côte d'Ivoire 1988 384199801 Côte d'Ivoire 1998 388198201 Jamaica 1982 388199101 Jamaica 1991 388200101 Jamaica 2001 400200401 Jordan 2004 404196901 Kenya 1969 404197901 Kenya 1979 404198901 Kenya 1989 404199901 Kenya 1999 404200901 Kenya 2009 404201901 Kenya 2019 417199901 Kyrgyz Republic 1999 417200901 Kyrgyz Republic 2009 418199501 Laos 1995 418200501 Laos 2005 418201501 Laos 2015 426199601 Lesotho 1996 426200601 Lesotho 2006 430197401 Liberia 1974 430200801 Liberia 2008 454198701 Malawi 1987 454199801 Malawi 1998 454200801 Malawi 2008 454201801 Malawi 2018 458197001 Malaysia 1970 458198001 Malaysia 1980 458199101 Malaysia 1991 458200001 Malaysia 2000 466198701 Mali 1987 466199801 Mali 1998 466200901 Mali 2009 480199001 Mauritius 1990 480200001 Mauritius 2000 480201101 Mauritius 2011 484196001 Mexico 1960 484197001 Mexico 1970 484199001 Mexico 1990 484199501 Mexico 1995 484200001 Mexico 2000 484200501 Mexico 2005 484201001 Mexico 2010 484201501 Mexico 2015 484202001 Mexico 2020 484200521 Mexico 2005 Q1 LFS 484200522 Mexico 2005 Q2 LFS 484200523 Mexico 2005 Q3 LFS 484200524 Mexico 2005 Q4 LFS 484200621 Mexico 2006 Q1 LFS 484200622 Mexico 2006 Q2 LFS 484200623 Mexico 2006 Q3 LFS 484200624 Mexico 2006 Q4 LFS 484200721 Mexico 2007 Q1 LFS 484200722 Mexico 2007 Q2 LFS 484200723 Mexico 2007 Q3 LFS 484200724 Mexico 2007 Q4 LFS 484200821 Mexico 2008 Q1 LFS 484200822 Mexico 2008 Q2 LFS 484200823 Mexico 2008 Q3 LFS 484200824 Mexico 2008 Q4 LFS 484200921 Mexico 2009 Q1 LFS 484200922 Mexico 2009 Q2 LFS 484200923 Mexico 2009 Q3 LFS 484200924 Mexico 2009 Q4 LFS 484201021 Mexico 2010 Q1 LFS 484201022 Mexico 2010 Q2 LFS 484201023 Mexico 2010 Q3 LFS 484201024 Mexico 2010 Q4 LFS 484201121 Mexico 2011 Q1 LFS 484201122 Mexico 2011 Q2 LFS 484201123 Mexico 2011 Q3 LFS 484201124 Mexico 2011 Q4 LFS 484201221 Mexico 2012 Q1 LFS 484201222 Mexico 2012 Q2 LFS 484201223 Mexico 2012 Q3 LFS 484201224 Mexico 2012 Q4 LFS 484201321 Mexico 2013 Q1 LFS 484201322 Mexico 2013 Q2 LFS 484201323 Mexico 2013 Q3 LFS 484201324 Mexico 2013 Q4 LFS 484201421 Mexico 2014 Q1 LFS 484201422 Mexico 2014 Q2 LFS 484201423 Mexico 2014 Q3 LFS 484201424 Mexico 2014 Q4 LFS 484201521 Mexico 2015 Q1 LFS 484201522 Mexico 2015 Q2 LFS 484201523 Mexico 2015 Q3 LFS 484201524 Mexico 2015 Q4 LFS 484201621 Mexico 2016 Q1 LFS 484201622 Mexico 2016 Q2 LFS 484201623 Mexico 2016 Q3 LFS 484201624 Mexico 2016 Q4 LFS 484201721 Mexico 2017 Q1 LFS 484201722 Mexico 2017 Q2 LFS 484201723 Mexico 2017 Q3 LFS 484201724 Mexico 2017 Q4 LFS 484201821 Mexico 2018 Q1 LFS 484201822 Mexico 2018 Q2 LFS 484201823 Mexico 2018 Q3 LFS 484201824 Mexico 2018 Q4 LFS 484201921 Mexico 2019 Q1 LFS 484201922 Mexico 2019 Q2 LFS 484201923 Mexico 2019 Q3 LFS 484201924 Mexico 2019 Q4 LFS 484202021 Mexico 2020 Q1 LFS 484202023 Mexico 2020 Q3 LFS 496198901 Mongolia 1989 496200001 Mongolia 2000 496201001 Mongolia 2010 496202001 Mongolia 2020 504198201 Morocco 1982 504199401 Morocco 1994 504200401 Morocco 2004 504201401 Morocco 2014 508199701 Mozambique 1997 508200701 Mozambique 2007 508201701 Mozambique 2017 104201401 Myanmar 2014 524200101 Nepal 2001 524201101 Nepal 2011 528196001 Netherlands 1960 528197101 Netherlands 1971 528200101 Netherlands 2001 528201101 Netherlands 2011 558197101 Nicaragua 1971 558199501 Nicaragua 1995 558200501 Nicaragua 2005 566200621 Nigeria 2006 566200721 Nigeria 2007 566200821 Nigeria 2008 566200921 Nigeria 2009 566201021 Nigeria 2010 578180101 Norway 1801 578186501 Norway 1865 578187501 Norway 1875 578190001 Norway 1900 578191001 Norway 1910 586197301 Pakistan 1973 586198101 Pakistan 1981 586199801 Pakistan 1998 275199701 Palestine 1997 275200701 Palestine 2007 275201701 Palestine 2017 591196001 Panama 1960 591197001 Panama 1970 591198001 Panama 1980 591199001 Panama 1990 591200001 Panama 2000 591201001 Panama 2010 598198001 Papua New Guinea 1980 598199001 Papua New Guinea 1990 598200001 Papua New Guinea 2000 600196201 Paraguay 1962 600197201 Paraguay 1972 600198201 Paraguay 1982 600199201 Paraguay 1992 600200201 Paraguay 2002 604199301 Peru 1993 604200701 Peru 2007 604201701 Peru 2017 608199721 Philippines 1997 Q1 LFS 608199722 Philippines 1997 Q2 LFS 608199723 Philippines 1997 Q3 LFS 608199724 Philippines 1997 Q4 LFS 608199821 Philippines 1998 Q1 LFS 608199822 Philippines 1998 Q2 LFS 608199823 Philippines 1998 Q3 LFS 608199824 Philippines 1998 Q4 LFS 608199921 Philippines 1999 Q1 LFS 608199922 Philippines 1999 Q2 LFS 608199923 Philippines 1999 Q3 LFS 608199924 Philippines 1999 Q4 LFS 608200021 Philippines 2000 Q1 LFS 608200022 Philippines 2000 Q2 LFS 608200023 Philippines 2000 Q3 LFS 608200024 Philippines 2000 Q4 LFS 608200121 Philippines 2001 Q1 LFS 608200122 Philippines 2001 Q2 LFS 608200123 Philippines 2001 Q3 LFS 608200124 Philippines 2001 Q4 LFS 608200221 Philippines 2002 Q1 LFS 608200222 Philippines 2002 Q2 LFS 608200223 Philippines 2002 Q3 LFS 608200224 Philippines 2002 Q4 LFS 608200321 Philippines 2003 Q1 LFS 608200322 Philippines 2003 Q2 LFS 608200323 Philippines 2003 Q3 LFS 608200324 Philippines 2003 Q4 LFS 608200421 Philippines 2004 Q1 LFS 608200422 Philippines 2004 Q2 LFS 608200423 Philippines 2004 Q3 LFS 608200424 Philippines 2004 Q4 LFS 608200521 Philippines 2005 Q1 LFS 608200522 Philippines 2005 Q2 LFS 608200523 Philippines 2005 Q3 LFS 608200524 Philippines 2005 Q4 LFS 608200621 Philippines 2006 Q1 LFS 608200622 Philippines 2006 Q2 LFS 608200623 Philippines 2006 Q3 LFS 608200624 Philippines 2006 Q4 LFS 608200721 Philippines 2007 Q1 LFS 608200722 Philippines 2007 Q2 LFS 608200723 Philippines 2007 Q3 LFS 608200724 Philippines 2007 Q4 LFS 608200821 Philippines 2008 Q1 LFS 608200822 Philippines 2008 Q2 LFS 608200823 Philippines 2008 Q3 LFS 608200824 Philippines 2008 Q4 LFS 608200921 Philippines 2009 Q1 LFS 608200922 Philippines 2009 Q2 LFS 608200923 Philippines 2009 Q3 LFS 608200924 Philippines 2009 Q4 LFS 608201021 Philippines 2010 Q1 LFS 608201022 Philippines 2010 Q2 LFS 608201023 Philippines 2010 Q3 LFS 608201024 Philippines 2010 Q4 LFS 608201121 Philippines 2011 Q1 LFS 608201122 Philippines 2011 Q2 LFS 608201123 Philippines 2011 Q3 LFS 608201124 Philippines 2011 Q4 LFS 608201221 Philippines 2012 Q1 LFS 608201222 Philippines 2012 Q2 LFS 608201223 Philippines 2012 Q3 LFS 608201224 Philippines 2012 Q4 LFS 608201321 Philippines 2013 Q1 LFS 608201322 Philippines 2013 Q2 LFS 608201323 Philippines 2013 Q3 LFS 608201324 Philippines 2013 Q4 LFS 608201421 Philippines 2014 Q1 LFS 608201422 Philippines 2014 Q2 LFS 608201423 Philippines 2014 Q3 LFS 608201424 Philippines 2014 Q4 LFS 608201521 Philippines 2015 Q1 LFS 608201522 Philippines 2015 Q2 LFS 608201523 Philippines 2015 Q3 LFS 608201524 Philippines 2015 Q4 LFS 608201621 Philippines 2016 Q1 LFS 608201622 Philippines 2016 Q2 LFS 608201623 Philippines 2016 Q3 LFS 608201624 Philippines 2016 Q4 LFS 608201721 Philippines 2017 Q1 LFS 608201722 Philippines 2017 Q2 LFS 608201723 Philippines 2017 Q3 LFS 608201724 Philippines 2017 Q4 LFS 608201821 Philippines 2018 Q1 LFS 608201822 Philippines 2018 Q2 LFS 608201823 Philippines 2018 Q3 LFS 608201824 Philippines 2018 Q4 LFS 608201921 Philippines 2019 Q1 LFS 608201922 Philippines 2019 Q2 LFS 608201923 Philippines 2019 Q3 LFS 608199001 Philippines 1990 608199501 Philippines 1995 608200001 Philippines 2000 608201001 Philippines 2010 616197801 Poland 1978 616198801 Poland 1988 616200201 Poland 2002 616201101 Poland 2011 620198101 Portugal 1981 620199101 Portugal 1991 620200101 Portugal 2001 620201101 Portugal 2011 630197001 Puerto Rico 1970 630198001 Puerto Rico 1980 630199001 Puerto Rico 1990 630200001 Puerto Rico 2000 630200501 Puerto Rico 2005 630201001 Puerto Rico 2010 630201501 Puerto Rico 2015 630202001 Puerto Rico 2020 642197701 Romania 1977 642199201 Romania 1992 642200201 Romania 2002 642201101 Romania 2011 643200201 Russia 2002 643201001 Russia 2010 646199101 Rwanda 1991 646200201 Rwanda 2002 646201201 Rwanda 2012 662198001 Saint Lucia 1980 662199101 Saint Lucia 1991 686198801 Senegal 1988 686200201 Senegal 2002 686201301 Senegal 2013 694200401 Sierra Leone 2004 694201501 Sierra Leone 2015 703199101 Slovak Republic 1991 703200101 Slovak Republic 2001 703201101 Slovak Republic 2011 705200201 Slovenia 2002 710199601 South Africa 1996 710200101 South Africa 2001 710200701 South Africa 2007 710201101 South Africa 2011 710201601 South Africa 2016 728200801 South Sudan 2008 724198101 Spain 1981 724199101 Spain 1991 724200101 Spain 2001 724201101 Spain 2011 724200521 Spain 2005 Q1 LFS 724200522 Spain 2005 Q2 LFS 724200523 Spain 2005 Q3 LFS 724200524 Spain 2005 Q4 LFS 724200621 Spain 2006 Q1 LFS 724200622 Spain 2006 Q2 LFS 724200623 Spain 2006 Q3 LFS 724200624 Spain 2006 Q4 LFS 724200721 Spain 2007 Q1 LFS 724200722 Spain 2007 Q2 LFS 724200723 Spain 2007 Q3 LFS 724200724 Spain 2007 Q4 LFS 724200821 Spain 2008 Q1 LFS 724200822 Spain 2008 Q2 LFS 724200823 Spain 2008 Q3 LFS 724200824 Spain 2008 Q4 LFS 724200921 Spain 2009 Q1 LFS 724200922 Spain 2009 Q2 LFS 724200923 Spain 2009 Q3 LFS 724200924 Spain 2009 Q4 LFS 724201021 Spain 2010 Q1 LFS 724201022 Spain 2010 Q2 LFS 724201023 Spain 2010 Q3 LFS 724201024 Spain 2010 Q4 LFS 724201121 Spain 2011 Q1 LFS 724201122 Spain 2011 Q2 LFS 724201123 Spain 2011 Q3 LFS 724201124 Spain 2011 Q4 LFS 724201221 Spain 2012 Q1 LFS 724201222 Spain 2012 Q2 LFS 724201223 Spain 2012 Q3 LFS 724201224 Spain 2012 Q4 LFS 724201321 Spain 2013 Q1 LFS 724201322 Spain 2013 Q2 LFS 724201323 Spain 2013 Q3 LFS 724201324 Spain 2013 Q4 LFS 724201421 Spain 2014 Q1 LFS 724201422 Spain 2014 Q2 LFS 724201423 Spain 2014 Q3 LFS 724201424 Spain 2014 Q4 LFS 724201521 Spain 2015 Q1 LFS 724201522 Spain 2015 Q2 LFS 724201523 Spain 2015 Q3 LFS 724201524 Spain 2015 Q4 LFS 724201621 Spain 2016 Q1 LFS 724201622 Spain 2016 Q2 LFS 724201623 Spain 2016 Q3 LFS 724201624 Spain 2016 Q4 LFS 724201721 Spain 2017 Q1 LFS 724201722 Spain 2017 Q2 LFS 724201723 Spain 2017 Q3 LFS 724201724 Spain 2017 Q4 LFS 724201821 Spain 2018 Q1 LFS 724201822 Spain 2018 Q2 LFS 724201823 Spain 2018 Q3 LFS 724201824 Spain 2018 Q4 LFS 724201921 Spain 2019 Q1 LFS 724201922 Spain 2019 Q2 LFS 724201923 Spain 2019 Q3 LFS 724201924 Spain 2019 Q4 LFS 724202021 Spain 2020 Q1 LFS 724202022 Spain 2020 Q2 LFS 724202023 Spain 2020 Q3 LFS 724202024 Spain 2020 Q4 LFS 729200801 Sudan 2008 740200401 Suriname 2004 740201201 Suriname 2012 752188001 Sweden 1880 752189001 Sweden 1890 752190001 Sweden 1900 752191001 Sweden 1910 756197001 Switzerland 1970 756198001 Switzerland 1980 756199001 Switzerland 1990 756200001 Switzerland 2000 756201101 Switzerland 2011 834198801 Tanzania 1988 834200201 Tanzania 2002 834201201 Tanzania 2012 764197001 Thailand 1970 764198001 Thailand 1980 764199001 Thailand 1990 764200001 Thailand 2000 768196001 Togo 1960 768197001 Togo 1970 768201001 Togo 2010 780197001 Trinidad and Tobago 1970 780198001 Trinidad and Tobago 1980 780199001 Trinidad and Tobago 1990 780200001 Trinidad and Tobago 2000 780201101 Trinidad and Tobago 2011 792198501 Turkey 1985 792199001 Turkey 1990 792200001 Turkey 2000 800199101 Uganda 1991 800200201 Uganda 2002 800201401 Uganda 2014 804200101 Ukraine 2001 826185101 United Kingdom 1851 (England and Wales) 826185102 United Kingdom 1851 (Scotland) 826185103 United Kingdom 1851 (2% sample) 826186101 United Kingdom 1861 (England and Wales) 826186102 United Kingdom 1861 (Scotland) 826187101 United Kingdom 1871 (Scotland) 826188101 United Kingdom 1881 (England and Wales) 826188102 United Kingdom 1881 (Scotland) 826189101 United Kingdom 1891 (England and Wales) 826189102 United Kingdom 1891 (Scotland) 826190101 United Kingdom 1901 (England and Wales) 826190102 United Kingdom 1901 (Scotland) 826191101 United Kingdom 1911 (England and Wales) 826196101 United Kingdom 1961 826197101 United Kingdom 1971 826199101 United Kingdom 1991 826200101 United Kingdom 2001 840185001 United States 1850 (100%) 840185002 United States 1850 (1%) 840186001 United States 1860 (1%) 840187001 United States 1870 (1%) 840188001 United States 1880 (100%) 840188002 United States 1880 (10%) 840190001 United States 1900 (5%) 840191001 United States 1910 (1%) 840196001 United States 1960 840197001 United States 1970 840198001 United States 1980 840199001 United States 1990 840200001 United States 2000 840200501 United States 2005 840201001 United States 2010 840201501 United States 2015 840202001 United States 2020 858196301 Uruguay 1963 858196302 Uruguay 1963 (full count) 858197501 Uruguay 1975 858197502 Uruguay 1975 (full count) 858198501 Uruguay 1985 858198502 Uruguay 1985 (full count) 858199601 Uruguay 1996 858199602 Uruguay 1996 (full count) 858200621 Uruguay 2006 858201101 Uruguay 2011 858201102 Uruguay 2011 (full count) 862197101 Venezuela 1971 862198101 Venezuela 1981 862199001 Venezuela 1990 862200101 Venezuela 2001 704198901 Vietnam 1989 704199901 Vietnam 1999 704200901 Vietnam 2009 704201901 Vietnam 2019 894199001 Zambia 1990 894200001 Zambia 2000 894201001 Zambia 2010 716201201 Zimbabwe 2012 Technical Household Variables -- HOUSEHOLD Household serial number SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database. SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred: Chile 1970, 1992, 2002Colombia 1993, 2005Costa Rica 1984, 2000Cuba 2002Dominican Republic 1981, 2002, 2010Ecuador 1990, 2001Germany 1971Hungary 1980, 1990, 2001Jamaica 1982, 1991, 2001Malaysia 1970, 1991, 2000Mexico 1995, 1990, 2000, 2005Nigeria 2006Panama 2000Peru 1993, 2007Portugal 1981, 1991, 2001Spain 1991Uruguay 2011Venezuela 1990, 2001Vietnam 1989In all other samples, the last 3 digits are always zeroes. SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets. The U.S. 1900 sample and 1880 10% sample have multi-household dwellings that can be identified using the last 3 digits of SERIAL. SERIAL is a 10-digit numeric variable. The last 3 digits of SERIAL indicate household number within dwelling for selected samples noted in the variable description. In all other samples, the last 3 digits are always zeroes. Technical Household Variables -- HOUSEHOLD Number of person records in the household PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons. PERSONS is a 4-digit numeric variable. Technical Household Variables -- HOUSEHOLD Household weight HHWT indicates the number of households in the population represented by the household in the sample. For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics. NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Household Variables -- HOUSEHOLD Subsample number SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples. 00 1st 1% subsample 01 2nd 1% subsample 02 3rd 1% subsample 03 4th 1% subsample 04 5th 1% subsample 05 6th 1% subsample 06 7th 1% subsample 07 8th 1% subsample 08 9th 1% subsample 09 10th 1% subsample 10 11th 1% subsample 11 12th 1% subsample 12 13th 1% subsample 13 14th 1% subsample 14 15th 1% subsample 15 16th 1% subsample 16 17th 1% subsample 17 18th 1% subsample 18 19th 1% subsample 19 20th 1% subsample 20 21st 1% subsample 21 22nd 1% subsample 22 23rd 1% subsample 23 24th 1% subsample 24 25th 1% subsample 25 26th 1% subsample 26 27th 1% subsample 27 28th 1% subsample 28 29th 1% subsample 29 30th 1% subsample 30 31st 1% subsample 31 32nd 1% subsample 32 33rd 1% subsample 33 34th 1% subsample 34 35th 1% subsample 35 36th 1% subsample 36 37th 1% subsample 37 38th 1% subsample 38 39th 1% subsample 39 40th 1% subsample 40 41st 1% subsample 41 42nd 1% subsample 42 43rd 1% subsample 43 44th 1% subsample 44 45th 1% subsample 45 46th 1% subsample 46 47th 1% subsample 47 48th 1% subsample 48 49th 1% subsample 49 50th 1% subsample 50 51st 1% subsample 51 52nd 1% subsample 52 53rd 1% subsample 53 54th 1% subsample 54 55th 1% subsample 55 56th 1% subsample 56 57th 1% subsample 57 58th 1% subsample 58 59th 1% subsample 59 60th 1% subsample 60 61st 1% subsample 61 62nd 1% subsample 62 63rd 1% subsample 63 64th 1% subsample 64 65th 1% subsample 65 66th 1% subsample 66 67th 1% subsample 67 68th 1% subsample 68 69th 1% subsample 69 70th 1% subsample 70 71st 1% subsample 71 72nd 1% subsample 72 73rd 1% subsample 73 74th 1% subsample 74 75th 1% subsample 75 76th 1% subsample 76 77th 1% subsample 77 78th 1% subsample 78 79th 1% subsample 79 80th 1% subsample 80 81st 1% subsample 81 82nd 1% subsample 82 83rd 1% subsample 83 84th 1% subsample 84 85th 1% subsample 85 86th 1% subsample 86 87th 1% subsample 87 88th 1% subsample 88 89th 1% subsample 89 90th 1% subsample 90 91st 1% subsample 91 92nd 1% subsample 92 93rd 1% subsample 93 94th 1% subsample 94 95th 1% subsample 95 96th 1% subsample 96 97th 1% subsample 97 98th 1% subsample 98 99th 1% subsample 99 100th 1% subsample Technical Household Variables -- HOUSEHOLD Donated household HHDONATE identifies households that were donated during the IPUMS data editing process. 0 Not donated 1 Donated Technical Household Variables -- HOUSEHOLD Strata identifier This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation. STRATA is a 12-digit numeric variable. Technical Household Variables -- HOUSEHOLD Group quarters (collective dwelling) status GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools. Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification. Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions. 00 Vacant 10 Households 20 Group quarters (collective), n.s. 21 Institutions 22 Other group quarters 29 1-person unit created by splitting large household 99 Unknown/group quarters not identified Group Quarters Variables -- HOUSEHOLD Group quarters type GQTYPE identifies the type of group quarters -- collective dwellings -- which are broadly classified into institutional and non-institutional types. Institutions are a place of residence where people are subject to a common authority or bound by a common objective or personal interest. The definition encompasses correctional facilities, health institutions, retirement homes, orphanages, shelters (social welfare institutions), military or police establishments, boarding schools, and religious group dwellings. Non-institutional group quarters comprise refugee and workers' camps (temporary accommodation), hotels, pensions, and all types of boarding or lodging houses. The "floating population" is included as a category within the non-institutional group quarters, when identified by the corresponding sample. This group refers to outdoor sleepers, homeless persons, travelers, and persons in ships, boats, or other mobile dwellings. A more general classification of households between private and group quarters is available in GQ. 100 Institutional 110 Prisons, reformatories, or correctional institutions 120 Hospital, nursing home, hospice, or instutions for persons with disabilities 121 Institutions for persons with disabilities 122 Sanatorium or mental institutions 130 Homes for the elderly or orphanage 131 Retirement home 132 Orphanage, children's home 140 Shelter for homeless, youth, or others 150 Military or police institution 160 Boarding school or student housing 170 Religious institution, monastery, seminary, or convent 199 Other institutional n.e.c. 200 Non-institutional 210 Camps (refugees, workers, or others) 220 Hotel, pension, lodging, or boarding house 230 Floating population 299 Other non-institutional n.e.c. 300 Other group quarters 399 1-person unit created by splitting large household 998 Unknown 999 NIU (not in universe) Group Quarters Variables -- HOUSEHOLD Number of unrelated persons UNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ Group Quarters Variables -- HOUSEHOLD 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 Panama, Province 1960 - 2010 [Level 1; consistent boundaries, GIS] GEO1_PA identifies the household's province within Panama in all sample years. Provinces are the first level administrative units of the country. GEO1_PA is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO1_PA can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Panama 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. 591002 Coclé 591003 Colón, Comarca Kuna Yala (San Blas) 591004 Bocas de Toro, Chiriquí, Comarca Ngäbe Buglé, Veraguas 591005 Comarca Emberá, Darién 591006 Herrera 591007 Los Santos 591008 Panamá Geography: O-Z Variables -- HOUSEHOLD Panama, District 1960 - 2010 [Level 2; consistent boundaries, GIS] GEO2_PA identifies the household's district within Panama in all sample years. Districts are the second level administrative units of the country, after provinces. GEO2_PA 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_PA can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Panama 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. 591002001 Natá, Penonomé 591002002 Antón 591002003 Aguadulce 591002004 La Pintada, Olá 591003001 Colón, Portobelo, Santa Isabel 591003002 Chagres, Donoso 591003003 Comarca Kuna Yala 591004001 Bocas del Toro, Changuinola, Kusapín, Santa Fé 591004002 David 591004003 Atalaya, Santiago 591004004 Bugaba 591004005 Barú, Renacimiento 591004006 Ñürüm, Cañazas, La Mesa, Las Palmas 591004007 Remedios, San Félix, Besiko, Nole Duima 591004008 Tolé, Müna 591004009 Río de Jesús, Soná, Mariato, Montijo 591004010 Chiriquí Grande, Kankintú 591004011 Gualaca, San Lorenzo, Besiko 591004012 Alanje, Boquerón 591004013 Dolega 591004014 Boquete 591004015 Calobre, San Francisco 591005001 Chepigana, Pinogana, Cémaco, Sambú 591006001 Chitré 591006002 Las Minas, Los Pozos, Ocú 591006003 Parita, Pesé, Santa María 591007001 Guararé, Las Tablas 591007002 Macaracas, Pedasí, Pocrí, Tonosí 591007003 Los Santos 591008001 Panamá, San Miguelito 591008002 Arraiján, Taboga 591008003 La Chorrera 591008004 Capira, San Carlos 591008005 Balboa, Chepo, Chimán 591008006 Chame Geography: O-Z Variables -- HOUSEHOLD Panama, District 1960 [Level 2, GIS] GEO2_ PA1960 identifies the household's districts within Panama in 1960. Districts are the second level administrative units of the country, after provinces. A GIS map (in shapefile format), corresponding to GEO2_ PA1960 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Panama 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. 002001 Natá, Penonomé 002002 Antón 002003 Aguadulce 002004 La Pintada, Olá 003001 Chagres, Donoso 003002 Colón, Portobelo, Santa Isabel 003003 Comarca de San Blas 004001 Alanje, Boquerón 004002 Dolega 004003 Chiriquí Grande 004004 Gualaca, San Lorenzo 004005 Boquete 004006 Calobre, San Francisco 004007 Río de Jesús, Soná, Montijo 004008 Tolé 004009 Bocas del Toro, Santa Fé, Bastimentos 004010 Atalaya, Santiago 004011 David 004012 Barú 004013 Bugaba 004014 Remedios, San Félix 004015 Cañazas, La Mesa, Las Palmas 005001 Chepigana, Pinogana 006001 Chitré 006002 Las Minas, Los Pozos, Ocú 006003 Parita, Pesé, Santa María 007001 Los Santos 007002 Macaracas, Pedasí, Pocrí, Tonosí 007003 Guararé, Las Tablas 008001 Arraiján, Taboga 008002 La Chorrera 008003 Panamá 008004 Chame 008005 Capira, San Carlos 008006 Balboa, Chepo, Chimán Geography: O-Z Variables -- HOUSEHOLD Ownership of dwelling [general version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 0 NIU (not in universe) 1 Owned 2 Not owned 9 Unknown Household Economic Variables -- HOUSEHOLD Ownership of dwelling [detailed version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 000 NIU (not in universe) 100 Owned 110 Owned, already paid 120 Owned, still paying 130 Owned, constructed 140 Owned, inherited 190 Owned, other 191 Owned, house 192 Owned, condominium 193 Apartment proprietor 194 Shared ownership 200 Not owned 210 Renting, not specified 211 Renting, government 212 Renting, local authority 213 Renting, parastatal 214 Renting, private 215 Renting, private company 216 Renting, individual 217 Renting, collective 218 Renting, joint state and individual 219 Renting, public subsidized 220 Renting, private subsidized 221 Renting, co-tenant 222 Renting, relative of tenant 223 Renting, cooperative 224 Renting, with a job or business 225 Renting, loan-backed habitation 226 Renting, mixed contract 227 Furnished dwelling 228 Sharecropping 230 Subletting 231 Rent to own 239 Renting, other 240 Occupied de facto/squatting 250 Free/usufruct (no cash rent) 251 Free, provided by employer 252 Free, without work or services 253 Free, provided by family or friend 254 Free, private 255 Free, public 256 Free, condemned 257 Free, other 260 Endowment, Waqf (Egypt historical) 290 Not owned, other 999 Unknown Household Economic Variables -- HOUSEHOLD Water supply WATSUP describes the physical means by which the housing unit receives its water. The primary distinction is whether or not the household had piped (running) water. 00 NIU (not in universe) 10 Yes, piped water 11 Piped inside dwelling 12 Piped, exclusively to this household 13 Piped, shared with other households 14 Piped outside the dwelling 15 Piped outside dwelling, in building 16 Piped within the building or plot of land 17 Piped outside the building or lot 18 Have access to public piped water 20 No piped water 99 Unknown Utilities Variables -- HOUSEHOLD Sewage SEWAGE indicates whether the household has access to a sewage system or septic tank. 00 NIU (not in universe) 10 Connected to sewage system or septic tank 11 Sewage system (public sewage disposal) 12 Septic tank (private sewage disposal) 20 Not connected to sewage disposal system 99 Unknown Utilities Variables -- HOUSEHOLD Refrigerator REFRIG indicates whether the household had a refrigerator. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Radio in household RADIO indicates whether the household had a radio. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of rooms ROOMS indicates the number of rooms occupied by the housing unit. 00 Part of a room; no rooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Toilet TOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation. 00 NIU (not in universe) 10 No toilet 11 No flush toilet 20 Have toilet, type not specified 21 Flush toilet 22 Non-flush, latrine 23 Non-flush, other and unspecified 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Floor material FLOOR indicates the dwelling's predominant flooring material. 000 NIU (not in universe) 100 None/unfinished (earth) 110 Sand 120 Dung 200 Finished 201 Cement, tile, or brick 202 Cement 203 Concrete 204 Cement screed 205 Ceramic tile 206 Paving stone, cement tile 207 Stone 208 Brick 209 Brick or stone 210 Brick or cement 211 Block 212 Terrazzo 213 Wood 214 Palm, bamboo 215 Parquet 216 Parquet, tile, vinyl 217 Parquet, tile, marble 218 Ceramic, marble, granite 219 Ceramic, marble, tile, or vinyl 220 Marble 221 Mosaic 222 Tile 223 Tile, linoleum, ceramic, etc 224 Tile, cement 225 Tile, stone 226 Tile, stone, brick 227 Tile, stone, vinyl, brick 228 Tile, vinyl, brick 229 Tile, vinyl 230 Vinyl, linoleum, etc 231 Asphalt sheet, vinyl, etc 232 Synthetic, plastic 233 Cane 234 Carpet, rug 235 Scrap material 236 Other finished, n.e.c. 999 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Wall or building material This variable indicates the primary material used in the construction of the dwelling, particularly the dwelling's exterior walls. 000 NIU (not in universe) 100 No walls 200 Cardboard, scrap, and miscellaneous materials 201 Waste, scrap, or discarded material 202 Fabric or discarded material 203 Zinc, fabric, cardboard, tins, and waste material 204 Cardboard sheet 205 Plastic sheeting, cardboard 206 Makeshift, salvaged, or improvised materials 207 Reused materials 300 Wood 310 Rough wood 320 Wood, fibercement or plywood 330 Wood, formica, and other 340 Wood or bamboo 350 Wood or straw 400 Other plant-based materials 401 Plantain leaves and similar material 402 Bamboo or cane 403 Bamboo, sawali, cogon, nipa 404 Straw or bamboo 405 Grass, straw or reed 406 Reed, bamboo, or palm 407 Cane, palm leaves, logs 408 Palm leaves or palm planks 409 Bark, sticks, or cane 500 Masonry, stone, cement, adobe, metal, glass, and other fabricated materials (sometimes mixed with wood) 501 Brick, block, stone, or cement 502 Brick, stone, concrete 503 Brick, stone, or substitutes (dividing panels made of reinforced concrete) 504 Brick, stone, or substitutes (dividing panels made of wood) 505 Brick or tile 506 Brick or stone 507 Brick or cement block 508 Brick with plaster exterior 509 Brick without plaster exterior 510 Burnt or stabilized brick 511 Covered brick 512 Brick 513 Unburnt brick 514 Unburnt brick with cement 515 Unburnt brick with mud 516 Concrete 517 Landcrete, sandcrete 518 Cement blocks 519 Cement blocks or brick 520 Cement blocks or brick, unfinished 521 Cement and adobe bricks 522 Cement and stone block 523 Cement and tiles 524 Reinforced concrete, pre-cast concrete panels, or steel skeleton framed concrete 525 Concrete, reinforced concrete, blocks, panels 526 Fibercement 527 Adobe 528 Adobe walls with plaster exterior 529 Adobe walls without plaster exterior 530 Adobe with cement exterior 531 Wood and earth adobe 532 Wood and cement adobe 533 Mud or adobe 534 Pressed dirt 535 Clay 536 Coated clay/mud with sticks/cane 537 Clay or clay-covered sticks 538 Netted bamboo or cane with mud 539 Bundle of mud, straw, other materials 540 Mud with wood/wattle 541 Pole and mud 542 Mud with cement 543 Unfinished lathe and plaster, stucco, etc. 544 Stone 545 Hand-laid stone 546 Quarried stone 547 Cut stone and concrete 548 Cemented stone 549 Stone with clay 550 Blocks of light material 551 Prefabricated material 552 Asbestos 553 Metal or asbestos sheet 554 Metal or iron sheet 555 Metal or fibercement sheeting 556 Galvanized iron or aluminum 557 Tin 558 Glass 559 Cloth 560 Covintec panels 561 Mixed material 562 Mixed material: part wood; part concrete, brick, or stone 563 Wood plastered with clay, adobe, other materials; wood pressed panels; rolled mud bricks; etc. 564 Mixed material: wood or galvanized metal 570 Mainly permanent materials 600 Other material 601 Partition wall, lined with wood or steel 602 Partition wall, unlined 999 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD 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 Panama 1960: All records Dwelling number. This is a 5-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Number of persons in household Panama 1960: All records Number of persons in 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 20 20 21 21 22 22 24 24 25 25 28 28 Technical Household Variables -- HOUSEHOLD Dwelling created by splitting apart a large dwelling or household Panama 1960: All records Dwelling 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 Number of persons in large household before it was split Panama 1960: All records Number of persons in large household before it was split. 000 Household was not split 033 33 037 37 260 260 Technical Household Variables -- HOUSEHOLD Donated dwelling Panama 1960: All records Donated dwelling. 0 No problem 1 Donated Technical Household Variables -- HOUSEHOLD Donation strata: strata number Panama 1960: All records Donation strata: strata number. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 Technical Household Variables -- HOUSEHOLD Urban or rural area Panama 1960: All households This variable indicates whether the household located in an urban or rural area. 1 Urban 2 Rural Geography: O-Z Variables -- HOUSEHOLD Type of collective dwelling Panama 1960: Households in living quarters [discrepancies: not verifiable] This variable indicates the type of collective dwellings. 01 Shelter 02 Ship 03 Prisons 04 Convent 05 Barracks 06 Hospitals 07 Hotels 08 Boarding schools 09 Reformatories 10 Others 99 NIU (not in universe) Group Quarters Variables -- HOUSEHOLD Dwelling classification <span class="h2">II. Dwelling</span></p> <p><svar v="PA60A039" a="all">1. Classification of the housing units:<br /><div class="i1">[] 1 Dwelling with occupants present at the moment of the census (occupied)<br />[] 2 Dwelling without occupants at the moment of the census<br />[] 3 Place not intended for habitation but used as a dwelling</div><br /></svar> <span class="h1">Information about the Dwelling</span></p> <p><svar v="PA60A039" a="all"><span class="h3">Question 1 Classification of housing units:</span><br /><br />Mark box 1 when it is a private house (including shacks) or an apartment or room(s) in a block of tenements <span class="em">with any occupants present at the moment of the Census</span>.<br /><br />[The instructions refer to a graphic of box 1 of question 1 on the census form.]<br /><br />Mark box 2 when it is a private house or an apartment or room(s) in a block of tenements <span class="em">without any occupant present</span> at the moment of the Census. It can be without occupants because it is for sale, for rent, being repaired, etc, or because its occupants are absent seasonally (summer houses).<br /><br />[The instructions refer to a graphic of box 2 of question 1 of the census form.]<br /><br />Mark box 3 when you have to enumerate persons who live in a doorway, a vessel, a tent, or live in a temporarily arranged enclosure in a building under construction or in a public building. In other words, always mark box 3 when you have to enumerate persons who use, as their living space, a location or space not meant specifically to be lived in.<br /></svar> Panama 1960: All households This variable indicates whether the dwelling was occupied or not. 1 Occupied 2 Unoccupied 3 Not a dwelling but inhabited Group Quarters Variables -- HOUSEHOLD Walls <svar v="PA60A040 PA60A041 PA60A042 PA60A043 PA60A044 PA60A045 PA60A046 PA60A047 PA60A048 PA60A049 PA60A050 PA60A051 PA60A052 PA60A053">Get data for questions 2 - 14 only for an occupied dwelling<br /></svar></p> <p><svar v="PA60A040" a="all">2. Predominant material in the exterior walls of the building:<br /><div class="i1">[] 1 Cement block, brick, stone<br />[] 2 Wood<br />[] 3 Clay-covered plant fiber (<span class="lang">quincha</span>), adobe<br />[] 4 Straw, palm leaves, cane<br />[] 5 Other (zinc, cardboard, etc.)</div><br /></svar> <svar v="PA60A040" a="all"><span class="h3">Question 2 Predominant material in the exterior walls of the building:</span><br /><br />Mark the corresponding box taking into account:<br /><div class="i1">a) This question refers to the <span class="em">building</span>. The building and the dwelling coincide when it concerns a private house. In the cases of room(s) in a block of tenements and in apartments, the building contains many dwellings.<br />b) The predominant material is what the greatest part of the walls of the building is made from.</div><br /><br />[The instructions refer to a graphic of question 2 of the census form.]<br /><br />In the case of shacks without walls, mark box 5 and make the corresponding observation.<br /></svar> Panama 1960: Occupied private households [discrepancies: none] This variable indicates the wall material of the dwelling. 1 Cement block 2 Wood 3 Clay-covered plant fiber, adobe 4 Straw, palm leaves, cane 5 Other 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Floor <svar v="PA60A040 PA60A041 PA60A042 PA60A043 PA60A044 PA60A045 PA60A046 PA60A047 PA60A048 PA60A049 PA60A050 PA60A051 PA60A052 PA60A053">Get data for questions 2 - 14 only for an occupied dwelling<br /></svar></p> <p><svar v="PA60A041" a="all">3. Floor material in the dwelling:<br /><div class="i1">[] 1 Concrete [cement], tile<br />[] 2 Wood<br />[] 3 Brick<br />[] 4 Dirt<br />[] 5 Other</div><br /></svar> <svar v="PA60A041" a="all"><span class="h3">Question 3 Floor material in the dwelling:</span><br /><br />Mark the corresponding box taking into account:<br /><div class="i1">a) This question refers to the material of the majority of the floor in the rooms of the dwelling.<br />b) You shouldn't go by the floor material of the living room exclusively because in some dwellings this floor is made of different material then the rest of the rooms of the house.</div><br /></svar> Panama 1960: Occupied private households [discrepancies: none] This variable indicates the floor material of the dwelling. 1 Concrete 2 Wood 3 Brick 4 Earth 5 Other 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Toilet facilities <svar v="PA60A040 PA60A041 PA60A042 PA60A043 PA60A044 PA60A045 PA60A046 PA60A047 PA60A048 PA60A049 PA60A050 PA60A051 PA60A052 PA60A053">Get data for questions 2 - 14 only for an occupied dwelling<br /></svar></p> <p><svar v="PA60A042" a="all">4. Toilet facilities:<br /><div class="i1">[] 1 Private connected to sewer<br />[] 2 Private connected to a septic tank<br />[] 3 Private pit toilet<br />[] 4 Communal connected to sewer<br />[] 5 Communal connected to a septic tank<br />[] 6 Communal pit toilet<br />[] 7 Without toilet facilities</div><br /></svar> <svar v="PA60A042" a="all"><span class="h3">Question 4 Toilet facilities:</span><br /><br />Mark the corresponding box taking into account that:<br /><div class="i1">a) Toilet facilities can be of private or communal use.</div><br /><br /><span class="pg">[p.26]</span><br /><br /><div class="i1">b) It is "private" when one family exclusively uses them.<br />c) It is communal when two or more families use them.<br />d) Toilet facilities can be connected to a system of sewers (drains) that serve the whole community or a part of it, or can be connected to a septic tank, generally built in the patio of the dwelling.</div><br /></svar> Panama 1960: Occupied private households [discrepancies: none] This variable indicates the toilet facilities of the dwelling. 1 Private connected to sewer 2 Private connected to a septic tank 3 Private pit 4 Communal connected to sewer 5 Communal connected to a septic tank 6 Communal pit 7 No toilet 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Drinking water <svar v="PA60A040 PA60A041 PA60A042 PA60A043 PA60A044 PA60A045 PA60A046 PA60A047 PA60A048 PA60A049 PA60A050 PA60A051 PA60A052 PA60A053">Get data for questions 2 - 14 only for an occupied dwelling<br /></svar></p> <p><svar v="PA60A043" a="all">5. Drinking water:<br /><div class="i1">[] 1 Public aqueduct<br />[] 2 Deep well, public or private (the water is extracted via pump)<br />[] 3 Other (shallow well, uncovered spring <span class="lang">brocal</span>, rain, river, etc.)</div><br /></svar> <svar v="PA60A043" a="all"><span class="h3">Question 5 Drinking water:</span><br /><br />Mark box 1 when the water that the occupants of the dwelling drink comes from a public aqueduct, that is, an aqueduct that serves the community or a large part of it. To mark box 1, take into consideration the following:<br /><div class="i1">a) There are dwellings that do not have interior installation of aqueduct pipes, but their inhabitants get the water from a water pump (faucet) installed outside of the dwelling. Consequently, you should always mark box 1 if the occupants of the dwelling drink water from the public aqueduct, it does not matter where they have to look for it.</div><br />[To the right of the text is box one, with a picture of a public water tower below it.]<br /><br /><span class="pg">[p. 27]</span><br /><br /><div class="i1">b) In cities and villages with a public aqueduct, there are dwellings, especially on the outskirts, whose occupants do not drink water from the public aqueduct. Because of this, in case of doubt you should ask the question.</div><br />Mark box 2 when the water that the occupants of the dwelling drink comes from a deep well, public well or private well fit with a pump to extract the water. To mark box 2, take into consideration the following:<br /><div class="i1">a) The pump can be manual (artesian well) or motorized.</div><br /><br />[Under the text are 3 pictures: a deep well, a public well and a private well to the right of box 2.]<br /><br /><div class="i1">b) The well can be public (for example, an artesian well installed in the public square) or can be private.<br />c) The water coming from the well can be distributed in the house through a system of pipes or simply collected and transported in containers.</div><br />Mark box 3 when the water that the occupants of the dwelling drink is neither obtained from a public aqueduct nor from a deep well with a pump. <span class="pg">[p.28]</span> Box 3 will be marked in the cases of uncovered springs (<span class="lang">brocal</span>) or when the water to drink is taken directly from a river, gulch, and natural pool, or when it is rain water. <br /></svar> Panama 1960: Occupied private households [discrepancies: none] This variable indicates the source of drinking water. 1 Public aqueduct 2 Deep well 3 Other 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Type of dwelling <svar v="PA60A040 PA60A041 PA60A042 PA60A043 PA60A044 PA60A045 PA60A046 PA60A047 PA60A048 PA60A049 PA60A050 PA60A051 PA60A052 PA60A053">Get data for questions 2 - 14 only for an occupied dwelling<br /></svar></p> <p><svar v="PA60A044" a="all">6. Type:<br /><div class="i1">[] 1 Private house<br />[] 2 Apartment<br />[] 3 Room(s) in a tenement (<span class="lang">casa de vecindad</span>)</div><br /></svar> <svar v="PA60A044" a="all"><span class="h3">Question 6 Type:</span><br /><br />Mark box 1 if the dwelling to be enumerated is a private house or in other words, if it contains a single dwelling (chalet, shack, house of clay-covered plant fiber (<span class="lang">quincha</span>), etc.). At times, the private house has one or more rooms used for purposes distinct from living quarters. For example, the private house that a family occupies but at the same time has a room that is used as a sewing room, office, store, etc.<br /><br />[To the right of the text is a picture of a private house with the words "Private house" and box 1 above it.]<br /><br /><span class="pg">[p.29]</span><br /><br />Mark box 2 if it is an apartment that is to say if the dwelling occupies part of a building and has toilet facilities and a bathroom for private use.<br /><br />[The instructions refer to a graphic of box 2 of question 6 of the census form.]<br /><br />Mark box 3 if the dwelling constitutes a room or rooms in a block of tenements, in other words, that which occupies part of a building and has neither toilet facilities nor a private bathroom. The occupants of these dwellings share the use of toilet facilities and bathroom.<br /></svar> Panama 1960: Occupied private households [discrepancies: none] This variable indicates whether the type of the dwelling is a private house, apartment, or room(s) in a tenant. 1 Private house 2 Apartment 3 Rooms 9 NIU (not in universe) Group Quarters Variables -- HOUSEHOLD Number of rooms <svar v="PA60A040 PA60A041 PA60A042 PA60A043 PA60A044 PA60A045 PA60A046 PA60A047 PA60A048 PA60A049 PA60A050 PA60A051 PA60A052 PA60A053">Get data for questions 2 - 14 only for an occupied dwelling<br /></svar></p> <p><svar v="PA60A045" a="all">7. Number of Rooms: ____<br /></svar> <svar v="PA60A045" a="all"><span class="h3">Question 7 Number of rooms:</span><br /><br />Write down in the corresponding space the number of rooms that the dwelling to be enumerated has.<br />Each room or part of the dwelling whose goal is lodging is considered a room including:<br />living room, dining room, bedrooms, studies, sewing rooms, recreational rooms and rooms for domestic servants even when they are separated from the principal structure of the building.<br /><br /><span class="pg">[p.30]</span><br /><br />The rooms should be separated by walls or panels or by any other type of division that practically divides the distinct rooms. <br />The kitchen, the bathroom, the halls, terraces, "porches" or doorways will not be counted as rooms. Nor will be counted as rooms those that form part of the dwelling but are used exclusively for commercial, industrial or service means (shop, study, storehouse for grain or other products, elevated storage rooms (<span class="lang">jorones</span>), stalls for animals etc.).<br /></svar> Panama 1960: Occupied private households [discrepancies: none] This variable indicates the number of rooms. 1 One room 2 Two rooms 3 Three rooms 4 Four rooms 5 Five rooms 6 Six rooms 7 Seven or more rooms 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Ownership <svar v="PA60A040 PA60A041 PA60A042 PA60A043 PA60A044 PA60A045 PA60A046 PA60A047 PA60A048 PA60A049 PA60A050 PA60A051 PA60A052 PA60A053">Get data for questions 2 - 14 only for an occupied dwelling<br /></svar></p> <p><svar v="PA60A046" a="all">8. Ownership:<br /><div class="i1">[] 1 Owned (completely or partially paid for)<br />[] 2 Rented<br />[] 3 Other form</div><br /></svar> <svar v="PA60A046" a="all"><span class="h3">Question 8 Ownership:</span><br /><br />Mark the box corresponding to how the family occupies the dwelling to be enumerated. <br />The following are considered "owned":<br /><div class="i1">a) A dwelling occupied by the owner of the building and the land or only the building.<br />b) A dwelling paid for by using half of the mortgage loans of the Social Security Fund, the National Bank, The Savings Bank and other credit institutions even if they haven't been completely paid off.</div><br />If the dwelling is neither owned nor rented, for example "ceded", mark box 3 corresponding to "another form"<br /></svar> Panama 1960: Occupied private households [discrepancies: none] This variable indicates the ownership of the dwelling. 1 Owned 2 Rented 3 Other 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Rent <svar v="PA60A040 PA60A041 PA60A042 PA60A043 PA60A044 PA60A045 PA60A046 PA60A047 PA60A048 PA60A049 PA60A050 PA60A051 PA60A052 PA60A053">Get data for questions 2 - 14 only for an occupied dwelling<br /></svar></p> <p><svar v="PA60A047" a="all">9. Monthly rent (only for rented dwellings):<br /><div class="i1">B/. ____</div><br /></svar> <svar v="PA60A047" a="all"><span class="h3">Question 9 Monthly rent (only for rented dwellings):</span><br /><br />If the dwelling is rented, write down in <span class="lang">balboas</span>, the monthly sum that is paid as rent in the corresponding space. Example: B/.7.50; B/.25.00, etc.<br /></svar> Panama 1960: Renter-occupied private households [discrepancies: none] This variable indicates the monthly rent of the dwelling only for rented dwellings. 01 Less than 5.00 02 5.00-7.49 03 7.50-9.99 04 10.00-14.99 05 15.00-19.99 06 20.00-24.99 07 25.00-29.99 08 30.00-34.99 09 35.00-39.99 10 40.00-49.99 11 50.00-59.99 12 60.00-69.99 13 70.00-79.99 14 80.00-89.99 15 90.00-99.99 16 100.00-124.99 17 125.00-149.99 18 150.00 and over 19 Not specified 99 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Electricity <svar v="PA60A040 PA60A041 PA60A042 PA60A043 PA60A044 PA60A045 PA60A046 PA60A047 PA60A048 PA60A049 PA60A050 PA60A051 PA60A052 PA60A053">Get data for questions 2 - 14 only for an occupied dwelling<br /></svar></p> <p><svar v="PA60A048" a="all">10. Electricity:<br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v="PA60A048" a="all"><span class="h3">Question 10 Electricity:</span><br /><br />Mark the corresponding box according to whether the dwelling has or doesn't have electric lighting. This service can be supplied by a public or private plant.<br />Keep in mind that although there are cities and villages with an electric plant, dwellings exist that do not have electric lighting.<br /></svar> Panama 1960: Occupied private households [discrepancies: none] This variable indicates whether the dwelling had electricity. 1 Yes 2 No 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Radio <svar v="PA60A040 PA60A041 PA60A042 PA60A043 PA60A044 PA60A045 PA60A046 PA60A047 PA60A048 PA60A049 PA60A050 PA60A051 PA60A052 PA60A053">Get data for questions 2 - 14 only for an occupied dwelling<br /></svar></p> <p><svar v="PA60A049" a="all">11. Radio:<br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v="PA60A049" a="all"><span class="h3">Question 11 Radio</span><br /><br />Mark box 1 if there is any type of radio in the dwelling either electric or battery, separate or combined with a record player, small or big, it doesn't matter if it is temporarily broken. If you don't see the apparatus, ask about it because it could be in a place in the house not visible to you.<br /></svar> Panama 1960: Occupied private households [discrepancies: none] This variable indicates whether the dwelling had a radio. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Refrigerator <svar v="PA60A040 PA60A041 PA60A042 PA60A043 PA60A044 PA60A045 PA60A046 PA60A047 PA60A048 PA60A049 PA60A050 PA60A051 PA60A052 PA60A053">Get data for questions 2 - 14 only for an occupied dwelling<br /></svar></p> <p><svar v="PA60A050" a="all">12. Refrigerator:<br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v="PA60A050" a="all"><span class="h3">Question 12 Refrigerator</span><br /><br />Mark box 1 when there is any type of refrigerator in the dwelling whether electric or kerosene. An ice box is not considered a refrigerator.<br /></svar> Panama 1960: Occupied private households [discrepancies: none] This variable indicates whether the dwelling had a refrigerator. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Stove <svar v="PA60A040 PA60A041 PA60A042 PA60A043 PA60A044 PA60A045 PA60A046 PA60A047 PA60A048 PA60A049 PA60A050 PA60A051 PA60A052 PA60A053">Get data for questions 2 - 14 only for an occupied dwelling<br /></svar></p> <p><svar v="PA60A051" a="all">13. Stove<br /><div class="i1">[] 1 Gas<br />[] 2 Electric<br />[] 3 Kerosene</div><br /></svar> <svar v="PA60A051" a="all"><span class="h3">Question 13 Stove</span><br /><br />Mark the corresponding box.<br /></svar> Panama 1960: Occupied private households [discrepancies: none] This variable indicates whether the dwelling had a stove. 1 Gas 2 Electric 3 Kerosene 4 Not specified and without stove 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Total number of individuals in the dwelling <svar v="PA60A040 PA60A041 PA60A042 PA60A043 PA60A044 PA60A045 PA60A046 PA60A047 PA60A048 PA60A049 PA60A050 PA60A051 PA60A052 PA60A053">Get data for questions 2 - 14 only for an occupied dwelling<br /></svar></p> <p><svar v="PA60A052 PA60A053" a="all"><div class="i1">____ Total number of people<br />____ Number of people per room</div><br /></svar> Panama 1960: Non-collective dwellings [discrepancies: type I trace; type II none] This variable indicates the total number of the individuals in the dwelling. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 20 20 21 21 22 22 24 24 25 25 28 28 98 Unknown 99 NIU (not in universe) Technical Household Variables -- HOUSEHOLD Number of persons per room <svar v="PA60A040 PA60A041 PA60A042 PA60A043 PA60A044 PA60A045 PA60A046 PA60A047 PA60A048 PA60A049 PA60A050 PA60A051 PA60A052 PA60A053">Get data for questions 2 - 14 only for an occupied dwelling<br /></svar></p> <p><svar v="PA60A052 PA60A053" a="all"><div class="i1">____ Total number of people<br />____ Number of people per room</div><br /></svar> Panama 1960: Occupied private households [discrepancies: none] This variable indicates the number of persons per room in the dwelling. 01 0 to 1.0 02 1.1 to 1.9 03 2 to 2.9 04 3 to 3.9 05 4 to 4.9 06 5 to 5.9 07 6 to 6.9 08 7 to 7.9 09 8 or more 98 Unknown 99 NIU (not in universe) Constructed Household Variables -- HOUSEHOLD Strata Panama 1960: All households This variable is the strata identifier for the sample. Strata is a constructed variable that captures implicit geographic stratification resulting from the sample design. It is created by assigning a unique identifier to groups of between 10 and 19 adjacent households. Additional documentation is available on the Variance Estimation page. This is a 4-digit numeric variable with 0 implied decimal places Geography: O-Z 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 Country of birth BPLCOUNTRY indicates the person's country of birth. 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11005 British Indian Ocean Territory 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11051 Ethiopia (including Eritrea) 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, other or n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo (Republic of) 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, other or n.s. 13000 Northern Africa 13010 Algeria 13011 Algeria/Tunisia 13020 Egypt 13021 Egypt/Sudan 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, other or n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, other or n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15021 Upper Volta 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15081 Guinea-Bissau and Cape Verde 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15180 Canary Islands 15999 West Africa, other or n.s. 19999 Africa, other or n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21200 St. Croix 21210 St. John 21220 St. Lucia 21230 St Thomas 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21991 Caribbean commonwealth, n.s. 21999 Caribbean, other or n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, other or n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23999 South America, other or n.s. 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 United States 24999 North America, other or n.s. 29999 Americas, other or n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 31999 Eastern Asia, other or n.s. 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32042 India/Pakistan/Bangladesh/Sri Lanka 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32101 Pakistan/Bangladesh 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32999 South-Central Asia, other or n.s. 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33999 South-Eastern Asia, other or n.s. 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34051 Abkhazia 34052 South Ossetia 34060 Iraq 34070 Israel 34071 Israel/Palestine 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34111 West Bank 34112 Gaza Strip 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34991 Middle East 34999 Western Asia, other or n.s. 39999 Asia, other or n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Bulgaria/Greece 41030 Czech Republic/Czechoslovakia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41991 Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia 41992 Central-Eastern Europe 41999 Eastern Europe, other or n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42100 Svalbard and Jan Mayen Islands 42110 Sweden 42120 United Kingdom 42999 Northern Europe, other or n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovina 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43121 Spain/Portugal 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43144 Serbia and Montenegro 43991 Gibraltar/Malta 43992 Portugal/Greece 43993 Italy, Holy See, San Marino 43999 Southern Europe, other or n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxemburg 44022 Belgium/Netherlands/Luxemburg 44030 France 44040 Germany 44042 West Germany 44043 Germany/Austria 44044 Mecklenburg-Schwerin 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44991 Belgium, Denmark, Luxembourg, Netherlands 44999 Western Europe, other or n.s. 49992 European Union 49993 European Union (original 15) 49994 Other European Union (not original 15) 49999 Europe, other or n.s. 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 52999 Melanesia, n.s. 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53060 Federated States of Micronesia 53999 Micronesia, other or n.s. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Western Samoa 54060 Eastern Samoa 54070 Tokelau 54080 Tonga 54090 Tuvalu 54100 Wallis and Futuna Isls. 54999 Polynesia, other or n.s. 55000 U.S. Pacific Possessions 55010 American Samoa 55020 Baker Island 55030 Guam 55040 Howland Island 55050 Johnston Atoll 55060 Kingman Reef 55070 Midway Islands 55080 Wake Island 55999 US Pacific, other or n.s. 59999 Oceania, other or n.s. 80000 AT SEA 90000 Other countries n.s. 99999 Unknown Nativity and Birthplace Variables -- PERSON Country of citizenship NATION indicates the person's country of citizenship. 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, other or n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo (Republic of) 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, other or n.s. 13000 Northern Africa 13010 Algeria 13011 Algeria/Tunisia 13020 Egypt/United Arab Rep. 13021 Egypt/Sudan 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, other or n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, other or n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15999 West Africa, other or n.s. 19999 Africa, other or n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21220 St. Lucia 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21999 Caribbean, other or n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, other or n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23999 South America, other or n.s. 24000 North America 24010 Bermuda 24020 Canada 24021 Canada, First Nations 24030 Greenland 24040 United States 24999 North America, other or n.s. 29999 Americas, other or n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 31999 Eastern Asia, other or n.s. 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32990 Burma, India, Pakistan, Ceylon 32999 South-Central Asia, other or n.s. 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33991 Laos and Cambodia 33992 Malaysia and Singapore 33999 South-Eastern Asia, other or n.s. 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34051 Abkhazia 34052 South Ossetia 34060 Iraq 34070 Israel 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34991 Middle East 34999 Western Asia, other or n.s. 39999 Asia, other or n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Bulgaria/Greece 41030 Czech Republic/Czechoslovakia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41992 Central-Eastern Europe 41999 Eastern Europe, other or n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42100 Svalbard and Jan Mayen Islands 42110 Sweden 42120 United Kingdom 42121 Britain 42122 Scotland 42123 Wales 42990 Nordic countries 42999 Northern Europe, other or n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovina 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43144 Serbia and Montenegro 43999 Southern Europe, other or n.s. 44000 Western Europe 44010 Austria 44011 Austro-Hungarian 44020 Belgium 44022 Belgium/Netherlands/Luxemburg 44030 France 44040 Germany 44041 East Germany 44042 West Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44999 Western Europe, other or n.s. 49992 European Union 49993 European Union (Original 15) 49994 Other European Union 49999 Europe, other or n.s. 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 52999 Melanesia, n.s. 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53999 Micronesia, other or n.s. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Western Samoa 54060 Eastern Samoa 54070 Tokelau 54080 Tonga 54090 Tuvalu 54100 Wallis and Futuna Isls. 54999 Polynesia, other or n.s. 55000 U.S. Pacific Possessions 55010 American Samoa 55020 Baker Island 55030 Guam 55040 Howland Island 55050 Johnston Atoll 55060 Kingman Reef 55070 Midway Islands 55080 Wake Island 55999 US Pacific, other or n.s. 59999 Oceania, other or n.s. 90000 Other countries n.s. 99998 No citizenship/nationality 99999 Unknown Nativity and Birthplace Variables -- PERSON Province of birth, Panama BPLPA indicates the person's province of birth within Panama. 01 Bocas del Toro 02 Coclé 03 Colón 04 Chiriqui 05 Darién 06 Herrera 07 Los Santos 08 Panamá 09 Veraguas 10 Comarca Kuna Yala (San Blas) 11 and 12 Comarca Ngoble-Bugle 90 Born outside the country 98 Unknown Nativity and Birthplace Variables -- PERSON School attendance SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census. 0 NIU (not in universe) 1 Yes 2 No, not specified 3 No, attended in the past 4 No, never attended 9 Unknown/missing Education Variables -- PERSON Literacy LIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both. 0 NIU (not in universe) 1 No, illiterate 2 Yes, literate 9 Unknown/missing Education Variables -- PERSON Educational attainment, international recode [general version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 0 NIU (not in universe) 1 Less than primary completed 2 Primary completed 3 Secondary completed 4 University completed 9 Unknown Education Variables -- PERSON Educational attainment, international recode [detailed version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 000 NIU (not in universe) 100 Less than primary completed (n.s.) 110 No schooling 120 Some primary completed 130 Primary (4 yrs) completed 211 Primary (5 yrs) completed 212 Primary (6 yrs) completed 221 Lower secondary general completed 222 Lower secondary technical completed 311 Secondary, general track completed 312 Some college completed 320 Secondary or post-secondary technical completed 321 Secondary, technical track completed 322 Post-secondary technical education 400 University completed 999 Unknown/missing Education Variables -- PERSON Years of schooling YRSCHOOL indicates the highest grade/level of schooling the person had completed, in years. Only formal schooling is counted. YRSCHOOL accounts for the number of years of study, regardless of the track or kind of study. Information on degree and/or technical track is available in EDATTAIN. Years of schooling for Israel, categorized into intervals, are given in YRSCHOOL2. Users should pay close attention to the top-codes in each sample, as discussed in the comparability section. 00 None or pre-school 01 1 year 02 2 years 03 3 years 04 4 years 05 5 years 06 6 years 07 7 years 08 8 years 09 9 years 10 10 years 11 11 years 12 12 years 13 13 years 14 14 years 15 15 years 16 16 years 17 17 years 18 18 years or more 90 Not specified 91 Some primary 92 Some technical after primary 93 Some secondary 94 Some tertiary 95 Adult literacy 96 Special education 98 Unknown/missing 99 NIU (not in universe) Education Variables -- PERSON Educational attainment, Panama EDUCPA indicates the person's educational attainment in Panama in terms of the level of schooling completed and the number of years completed at that level. 00 Less than primary 01 No schooling 02 Special education 03 Preschool 10 Primary 11 Primary, grade 1 12 Primary, grade 2 13 Primary, grade 3 14 Primary, grade 4 15 Primary, grade 5 16 Primary, grade 6 19 Primary, grade unknown 20 Secondary 21 Secondary, grade 1 22 Secondary, grade 2 23 Secondary, grade 3 24 Secondary, grade 4 25 Secondary, grade 5 26 Secondary, grade 6 29 Secondary, grade unknown 30 Post-secondary, non-university 31 Post-secondary non-university, year 1 32 Post-secondary non-university, year 2 33 Post-secondary non-university, year 3 39 Post-secondary non-university, year unknown 40 Vocational 41 Vocational, year 1 42 Vocational, year 2 43 Vocational, year 3 49 Vocational, year unknown 50 University 51 University, 1 year 52 University, 2 years 53 University, 3 years 54 University, 4 years 55 University, 5 years 56 University, 6 years 57 University, 7 years 58 University, 8+ years 59 University, year unknown 60 Post-graduate 70 Master's degree 71 Masters, 1 year 72 Masters, 2 years 73 Masters, year unknown 80 Doctorate 81 Year 1 or 2 82 Doctorate, 1 year 83 Doctorate, 2 years 84 Doctorate, 3 years 85 Doctorate, 4 years 86 Doctorate, year unknown 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Activity status (employment status) [general version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 0 NIU (not in universe) 1 Employed 2 Unemployed 3 Inactive 9 Unknown/missing Work Variables -- PERSON Activity status (employment status) [detailed version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 000 NIU (not in universe) 100 Employed, not specified 110 At work 111 At work, and 'student' 112 At work, and 'housework' 113 At work, and 'seeking work' 114 At work, and 'retired' 115 At work, and 'no work' 116 At work, and other situation 117 At work, family holding, not specified 118 At work, family holding, not agricultural 119 At work, family holding, agricultural 120 Have job, not at work in reference period 130 Armed forces 131 Armed forces, at work 132 Armed forces, not at work in reference period 133 Military trainee 140 Marginally employed 200 Unemployed, not specified 201 Unemployed 6 or more months 202 Worked fewer than 6 months, permanent job 203 Worked fewer than 6 months, temporary job 210 Unemployed, experienced worker 220 Unemployed, new worker 230 No work available 240 Inactive unemployed 300 Inactive (not in labor force) 301 Unavailable jobseekers 302 Available potential jobseekers 310 Housework 320 Health reasons, unable to work, or disabled 321 Permanent disability 322 Temporary illness 323 Disabled or imprisoned 330 In school 340 Retirees and living on rent 341 Living on rents 342 Living on rents or pension 343 Retirees/pensioners 344 Retired 345 Pensioner 346 Non-retirement pension 347 Disability pension 348 Retired without benefits 350 Elderly 351 Elderly or disabled 360 Institutionalized 361 Prisoner 370 Intermittent worker 371 Not working, seasonal worker 372 Not working, occasional worker 380 Other income recipient 390 Inactive, other reasons 391 Too young to work 392 Dependent 999 Unknown/missing Work Variables -- PERSON Labor force participation LABFORCE is a dichotomous variable identifying whether a person participated in the labor force. Labor force participation generally means working or seeking work within a specified reference period. For most samples LABFORCE is a recode of EMPSTAT (employment status). A consistent lower age universe of 15 or older has been applied to increase comparability across samples. Full detail is retained in EMPSTAT, which should be used for any study of child labor. 1 No, not in the labor force 2 Yes, in the labor force 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Occupation, ISCO general OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money. 01 Legislators, senior officials and managers 02 Professionals 03 Technicians and associate professionals 04 Clerks 05 Service workers and shop and market sales 06 Skilled agricultural and fishery workers 07 Crafts and related trades workers 08 Plant and machine operators and assemblers 09 Elementary occupations 10 Armed forces 11 Other occupations, unspecified or n.e.c. 97 Response suppressed 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Occupation, unrecoded OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census. To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses. OCC is a 4-digit numeric variable. Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Argentina 1970 - see Variable: AR1970A_OCC3 - Occupation [3 digit] Argentina 1980 - see Variable: AR1980A_OCC - Occupation Argentina 1991 - see Variable: AR1991A_OCC - Occupation Argentina 2001 - see Variable: AR2001A_OCC4 - Occupation (4-digits) Armenia 2011 - see Variable: AM2011A_OCC - Occupation Austria 1971 - see Variable: AT1971A_OCCSM - Occupation of supporter: sub-major groups Austria 1981 - see Variable: AT1981A_OCCSM - Occupation of supporter: sub-major groups Austria 1991 - see Variable: AT1991A_OCCSM - Occupation of supporter: sub-major groups Austria 2001 - see Variable: AT2001A_OCCSM - Occupation of supporter: sub-major groups Belarus 1999 - see Variable: BY1999A_OCC2 - Occupation, 2 digits Belarus 2009 - see Variable: BY2009A_OCC - Occupation Benin 1979 - see Variable: BJ1979A_OCC - Occupation (2-digits) Benin 1992 - see Variable: BJ1992A_OCC3 - Occupation (3-digits) Benin 2002 - see Variable: BJ2002A_OCC - Occupation (3-digits) Benin 2013 - see Variable: BJ2013A_OCC - Occupation (3-digit) Bolivia 1976 - see Variable: BO1976A_OCC2 - Occupation, 2 digits Bolivia 1992 - see Variable: BO1992A_OCC - Occupation Bolivia 2001 - see Variable: BO2001A_OCC - Occupation, 3 digits Bolivia 2012 - see Variable: BO2012A_OCC2 - Occupation (3 digit) Botswana 1981 - see Variable: BW1981A_OCC - Occupation Botswana 1991 - see Variable: BW1991A_OCC - Occupation (last 30 days) Botswana 2001 - see Variable: BW2001A_OCC - Occupation in the past 7 days, 3 digit Botswana 2011 - see Variable: BW2011A_OCC - Occupation, 3-digits Brazil 1960 - see Variable: BR1960A_USUALOCC - Usual occupation Brazil 1970 - see Variable: BR1970A_MAINOCC - Principal occupation Brazil 1980 - see Variable: BR1980A_OCC - Occupation Brazil 1991 - see Variable: BR1991A_OCC - Occupation Brazil 2000 - see Variable: BR2000A_OCC - Occupation, 4 digits Brazil 2010 - see Variable: BR2010A_OCC - Occupation held from July 25 to July 31, 2010 Burkina Faso 1985 - see Variable: BF1985A_OCC - Principal occupation Burkina Faso 1996 - see Variable: BF1996A_OCC - Principal occupation Cambodia 1998 - see Variable: KH1998A_OCC - Occupation Cambodia 2004 - see Variable: KH2004A_OCC3 - Occupation (3-digits) Cambodia 2008 - see Variable: KH2008A_OCC - Occupation Cambodia 2013 - see Variable: KH2013A_OCC - Occupation (3-digits) Cambodia 2019 - see Variable: KH2019A_OCC1 - Occupation, 1-digit Cameroon 1976 - see Variable: CM1976A_OCC2 - Occupation (2 digits) Cameroon 2005 - see Variable: CM2005A_OCC - Occupation Canada 1971 - see Variable: CA1971A_OCC - Occupation Canada 1981 - see Variable: CA1981A_OCC - Occupation (1981 classification basis) Canada 1991 - see Variable: CA1991A_OCC80 - Occupation (1980 classification basis) Canada 2001 - see Variable: CA2001A_NOCS01P - Occupation (2001 national occupational classification for statistics) Canada 2011 - see Variable: CA2011A_OCC - Occupation Chile 1960 - see Variable: CL1960A_OCC - Occupation Chile 1970 - see Variable: CL1970A_OCC3 - Occupation (3-digit) Chile 1982 - see Variable: CL1982A_OCC3 - Occupation (3-digit) Chile 1992 - see Variable: CL1992A_OCC3 - Occupation (3-digit) Chile 2002 - see Variable: CL2002A_OCC - Occupation China 1982 - see Variable: CN1982A_OCC - Occupation China 1990 - see Variable: CN1990A_OCC - Occupation China 2000 - see Variable: CN2000A_OCC - Occupation (2-digit) Colombia 1964 - see Variable: CO1964A_OCC2 - Occupation (COTA, 4 digits) Colombia 1973 - see Variable: CO1973A_OCC - Occupation last week Costa Rica 1973 - see Variable: CR1973A_OCC3 - Occupation, 3 digits Costa Rica 1984 - see Variable: CR1984A_OCC - Occupation, 3 digits Costa Rica 2000 - see Variable: CR2000A_OCC3 - Occupation, 3 digits Costa Rica 2011 - see Variable: CR2011A_OCC - Occupation, 2-digit Cuba 2002 - see Variable: CU2002A_OCC - Occupation Cuba 2012 - see Variable: CU2012A_OCC3 - Main occupation (3-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_OCC2 - Current occupation (2-digit) Dominican Republic 1960 - see Variable: DO1960A_OCC - Occupation Dominican Republic 1970 - see Variable: DO1970A_OCC1 - Current occupation, 3 digits Dominican Republic 1981 - see Variable: DO1981A_OCC - Occupation Dominican Republic 2002 - see Variable: DO2002A_OCC - Occupation Dominican Republic 2010 - see Variable: DO2010A_OCC - Occupation Ecuador 1962 - see Variable: EC1962A_OCC - Occupation Ecuador 1974 - see Variable: EC1974A_OCC3 - Occupation, three digits Ecuador 1982 - see Variable: EC1982A_OCC3 - Occupation, 3 digits Ecuador 1990 - see Variable: EC1990A_OCC3 - Occupation, 3 digits Ecuador 2001 - see Variable: EC2001A_OCC - Occupation, 3 digits Ecuador 2010 - see Variable: EC2010A_OCC3 - Occupation (3 digits, ISCO 08) Egypt 1986 - see Variable: EG1986A_OCC3 - Occupation (3-digit) Egypt 2006 - see Variable: EG2006A_OCC - Primary occupation, 3-digit El Salvador 1992 - see Variable: SV1992A_OCC - Occupation (3-digit) El Salvador 2007 - see Variable: SV2007A_OCC3DIG - Occupation (3-digit) Ethiopia 1984 - see Variable: ET1984A_OCC2 - Occupation (2-digit) Ethiopia 1994 - see Variable: ET1994A_OCC - Occupation Fiji 1976 - see Variable: FJ1976A_OCC - Occupation Fiji 1986 - see Variable: FJ1986A_OCC - Occupation Fiji 1996 - see Variable: FJ1996A_OCC3 - Occupation (3 digits) Fiji 2007 - see Variable: FJ2007A_OCC3 - Occupation, 3 digits Fiji 2014 - see Variable: FJ2014A_OCC3 - Occupation (3 digits) Finland 2010 - see Variable: FI2010A_OCC - Occupation France 1962 - see Variable: FR1962A_SOCCUP - SAPHIR occupation France 1968 - see Variable: FR1968A_SOCC - SAPHIR occupation France 1975 - see Variable: FR1975A_SOCC - SAPHIR occupation France 1982 - see Variable: FR1982A_SOCC - SAPHIR occupation France 1990 - see Variable: FR1990A_SOCC - Saphir occupation France 1999 - see Variable: FR1999A_OCC - Occupation, ISCO France 2006 - see Variable: FR2006A_PROF486 - Detailed profession (4-digit) France 2011 - see Variable: FR2011A_PROF - Profession, 486 categories Germany 1970 - see Variable: DE1970A_OCC - Occupation Germany 1981 - see Variable: DE1981A_OCC - Occupation Germany 1987 - see Variable: DE1987A_OCC - Occupation Ghana 1984 - see Variable: GH1984A_OCC2 - Occupation, 2 digits Ghana 2000 - see Variable: GH2000A_OCC - Occupation Ghana 2010 - see Variable: GH2010A_OCC - Occupation (major groups) Greece 1971 - see Variable: GR1971A_OCC - Occupation Greece 1981 - see Variable: GR1981A_OCC - Occupation Greece 1991 - see Variable: GR1991A_OCC - Occupation Greece 2001 - see Variable: GR2001A_OCC - Occupation Greece 2011 - see Variable: GR2011A_OCC - Occupation Guatemala 1964 - see Variable: GT1964A_OCC3 - Occupation (3-digits) Guatemala 1973 - see Variable: GT1973A_OCC3 - Principal occupation (3-digits) Guatemala 1981 - see Variable: GT1981A_OCC3 - Principal occupation (3-digits) Guatemala 1994 - see Variable: GT1994A_OCC - Principal occupation (1-digit) Guatemala 2002 - see Variable: GT2002A_OCC3 - Principal occupation (3-digits) Guinea 1983 - see Variable: GN1983A_OCC2 - Occupation, 2 digits Guinea 1996 - see Variable: GN1996A_OCC - Occupation Guinea 2014 - see Variable: GN2014A_OCC - Occupation (3-digit) Haiti 1982 - see Variable: HT1982A_OCC - Main occupation or profession Haiti 2003 - see Variable: HT2003A_OCC2 - Occupation, 3 digits Honduras 1961 - see Variable: HN1961A_OCC - Occupation (2-digits) Honduras 1974 - see Variable: HN1974A_OCC2 - Occupation (3-digits) Honduras 1988 - see Variable: HN1988A_OCC4 - Occupation (4-digits) Honduras 2001 - see Variable: HN2001A_OCC - Occupation (4-digit) Honduras 2013 - see Variable: HN2013A_OCC3 - Occupation (3-digit) Hungary 1970 - see Variable: HU1970A_OCC - Occupation Hungary 1980 - see Variable: HU1980A_OCC - Occupation, scope of activity Hungary 1990 - see Variable: HU1990A_OCC - Occupation Hungary 2001 - see Variable: HU2001A_OCC - Occupation Hungary 2011 - see Variable: HU2011A_OCC - Occupation Indonesia 1971 - see Variable: ID1971A_OCC - Occupation Indonesia 1976 - see Variable: ID1976A_OCC - Primary occupation during past week Indonesia 1980 - see Variable: ID1980A_OCC - Primary occupation during the previous week (3 digit version) Indonesia 1985 - see Variable: ID1985A_OCC - Primary occupation Indonesia 1990 - see Variable: ID1990A_OCC - Main occupation last week Indonesia 1995 - see Variable: ID1995A_OCC - Occupation Indonesia 2005 - see Variable: ID2005A_OCC - Occupation Iran 2006 - see Variable: IR2006A_OCC4 - Occupation Iran 2011 - see Variable: IR2011A_OCC - Occupation (3-digit) Iraq 1997 - see Variable: IQ1997A_OCC - Occupation Ireland 1971 - see Variable: IE1971A_OCC - Occupation Ireland 1981 - see Variable: IE1981A_OCC - Occupation Ireland 1986 - see Variable: IE1986A_OCC - Occupation group Ireland 1991 - see Variable: IE1991A_OCC - Occupation group Ireland 1996 - see Variable: IE1996A_OCC - Occupation Ireland 2002 - see Variable: IE2002A_OCC - Occupation Ireland 2006 - see Variable: IE2006A_OCC - Occupation group Ireland 2011 - see Variable: IE2011A_OCC - Occupation (shuffled) Ireland 2016 - see Variable: IE2016A_OCC - Occupation (groups) Israel 1972 - see Variable: IL1972A_OCC - Occupation Israel 1983 - see Variable: IL1983A_OCC - Occupation Israel 1995 - see Variable: IL1995A_OCC - Occupation Israel 2008 - see Variable: IL2008A_OCC - Occupation Italy 2001 - see Variable: IT2001A_OCC - Occupation Italy 2011 - see Variable: IT2011A_WKTYPE - Type of work Jamaica 1982 - see Variable: JM1982A_OCC - Occupation during past week / in last job Jamaica 1991 - see Variable: JM1991A_OCC - Occupation during past week/in last job Jamaica 2001 - see Variable: JM2001A_OCC3 - Occupation 3-digit Jordan 2004 - see Variable: JO2004A_OCC3 - Major current occupation (3-digit) Kenya 1989 - see Variable: KE1989A_OCC4 - Occupation, 4 digits Kenya 2019 - see Variable: KE2019A_OCC3 - Occupation (3-digit) Kyrgyzstan 1999 - see Variable: KG1999A_OCC - Main activity Laos 1995 - see Variable: LA1995A_OCC1 - Main occupation in the last 12 months (1-digit) Lesotho 1996 - see Variable: LS1996A_OCC - Occupation (2-digits) Lesotho 2006 - see Variable: LS2006A_OCC - Occupation (2-digits) Liberia 1974 - see Variable: LR1974A_OCC2 - Occupation (2-digit) Liberia 2008 - see Variable: LR2008A_OCC - Occupation Malawi 1987 - see Variable: MW1987A_OCC2 - Occupation, 2 digit Malawi 1998 - see Variable: MW1998A_OCC2 - Occupation, 2-digit Malawi 2008 - see Variable: MW2008A_OCC2 - Occupation (2 digits) Malawi 2018 - see Variable: MW2018A_OCC1 - Main occupation (1-digit) Malaysia 1970 - see Variable: MY1970A_OCC - Occupation last week Malaysia 1980 - see Variable: MY1980A_OCC3 - Principal occupation last week (3 digits) Malaysia 1991 - see Variable: MY1991A_OCC3 - Principal occupation (3 digits) Malaysia 2000 - see Variable: MY2000A_OCC3 - Occupation -- 3 digits Mali 1987 - see Variable: ML1987A_OCC - Occupation last month Mali 1998 - see Variable: ML1998A_OCC - Main occupation Mali 2009 - see Variable: ML2009A_OCC - Principal occupation Mauritius 1990 - see Variable: MU1990A_OCC3 - Occupation (3-digit) Mauritius 2000 - see Variable: MU2000A_OCC4 - Occupation (4 digit) Mauritius 2011 - see Variable: MU2011A_OCC4 - Occupation (4-digit) Mexico 1960 - see Variable: MX1960A_OCC2 - Principal occupation, 2 digits Mexico 1970 - see Variable: MX1970A_OCC3 - Occupation 3 digit Mexico 1990 - see Variable: MX1990A_OCC - Occupation, 4 digits Mexico 1995 - see Variable: MX1995A_OCC - Occupation Mexico 2000 - see Variable: MX2000A_OCC4 - Occupation, 4 digits Mexico 2010 - see Variable: MX2010A_OCC - Occupation or trade Mexico 2015 - see Variable: MX2015A_OCC - Occupation Mexico 2020 - see Variable: MX2020A_OCC3 - Occupation (3-digits) Mongolia 2000 - see Variable: MN2000A_OCC - Occupation Mongolia 2010 - see Variable: MN2010A_OCC3 - Occupation 3 digits (ISCO-2008) Mongolia 2020 - see Variable: MN2020A_OCC3 - Occupation (3-digit) Morocco 1982 - see Variable: MA1982A_OCC3 - Occupation (3-digit) Morocco 1994 - see Variable: MA1994A_OCC3 - Occupation, 3-digit Morocco 2004 - see Variable: MA2004A_OCC3 - Occupation (3-digit) Morocco 2014 - see Variable: MA2014A_OCC2 - Occupation (2-digit) Mozambique 1997 - see Variable: MZ1997A_OCC2 - Occupation 3-digit Mozambique 2007 - see Variable: MZ2007A_OCC - Occupation Mozambique 2017 - see Variable: MZ2017A_OCC3 - Main occupation (3-digits ISCO 2008) Myanmar 2014 - see Variable: MM2014A_OCC - Occupation Nepal 2001 - see Variable: NP2001A_OCC - Usual occupation Nepal 2011 - see Variable: NP2011A_OCC1 - Occupation (1-digit) Netherlands 1960 - see Variable: NL1960A_OCC - Occupation Netherlands 1971 - see Variable: NL1971A_OCC - Occupation Netherlands 2001 - see Variable: NL2001A_OCC - Occupation Netherlands 2011 - see Variable: NL2011A_OCC - Occupation (1-digit) Nicaragua 1971 - see Variable: NI1971A_OCC - Occupation Nicaragua 1995 - see Variable: NI1995A_OCC - Occupation (ISCO 88, 3 digits) Nicaragua 2005 - see Variable: NI2005A_OCC3 - Occupation (ISCO 88, 3 digits) Pakistan 1973 - see Variable: PK1973A_OCC3 - Occupation Palestine 1997 - see Variable: PS1997A_OCC - Main occupation Palestine 2007 - see Variable: PS2007A_OCC - Main occupation Palestine 2017 - see Variable: PS2017A_OCC - Occupation Panama 1960 - see Variable: PA1960A_OCC4 - Occupation (4-digit) Panama 1970 - see Variable: PA1970A_OCC2 - Occupation, 2-digit Panama 1980 - see Variable: PA1980A_OCC2 - Occupation (3-digit) Panama 1990 - see Variable: PA1990A_OCC - Occupation Panama 2000 - see Variable: PA2000A_OCC - Occupation Panama 2010 - see Variable: PA2010A_OCC - Occupation, 3 digits Papua New Guinea 1980 - see Variable: PG1980A_OCC - Occupation, 3 digits Papua New Guinea 1990 - see Variable: PG1990A_OCC - Occupation Papua New Guinea 2000 - see Variable: PG2000A_OCC - Occupation (4-digit) Paraguay 1962 - see Variable: PY1962A_OCC1 - Occupation (1-digit) Paraguay 1972 - see Variable: PY1972A_OCC3 - Occupation (3 digits) Paraguay 1982 - see Variable: PY1982A_OCC3 - Occupation, 3-digits Paraguay 1992 - see Variable: PY1992A_OCC2 - Main occupation, 3 digits Paraguay 2002 - see Variable: PY2002A_OCC - Occupation (4 digits) Peru 1993 - see Variable: PE1993A_OCC - Occupation (3 digits) Peru 2007 - see Variable: PE2007A_OCC - Main occupation last week (3 digits) Peru 2017 - see Variable: PE2017A_OCC1 - Occupation (1-digit, in primary job last week) Philippines 1990 - see Variable: PH1990A_OCC - Occupation Philippines 2000 - see Variable: PH2000A_OCC - Occupation Philippines 2010 - see Variable: PH2010A_OCC3 - Usual occupation (3-digit) Poland 1978 - see Variable: PL1978A_OCC - Occupation Poland 1988 - see Variable: PL1988A_OCC - Main occupation Poland 2002 - see Variable: PL2002A_OCC - Occupation Portugal 1981 - see Variable: PT1981A_OCC - Main occupation Portugal 1991 - see Variable: PT1991A_OCC - Main occupation Portugal 2001 - see Variable: PT2001A_OCC - Main occupation Portugal 2011 - see Variable: PT2011A_OCC - Main occupation Puerto Rico 1970 - see Variable: PR1970A_OCC - Occupation Puerto Rico 1980 - see Variable: PR1980A_OCC - Occupation Puerto Rico 1990 - see Variable: PR1990A_OCC - Occupation Puerto Rico 2000 - see Variable: PR2000A_OCC - Occupation Puerto Rico 2005 - see Variable: PR2005A_OCC - Occupation Puerto Rico 2010 - see Variable: PR2010A_OCC - Occupation Puerto Rico 2015 - see Variable: PR2015A_OCC - Occupation last week Puerto Rico 2020 - see Variable: PR2020A_OCC2010 - Occupation last week, 2010 basis Romania 1992 - see Variable: RO1992A_OCC - Occupation Romania 2002 - see Variable: RO2002A_OCC4 - Occupation, 4 digits Romania 2011 - see Variable: RO2011A_OCC - Occupation (unrecoded) Rwanda 2002 - see Variable: RW2002A_OCC - Occupation Rwanda 2012 - see Variable: RW2012A_OCC2 - Occupation (3-digit) Saint Lucia 1991 - see Variable: LC1991A_OCC - Occupation Senegal 1988 - see Variable: SN1988A_OCC - Occupation Senegal 2002 - see Variable: SN2002A_OCC3 - Occupation, 3 digits Senegal 2013 - see Variable: SN2013A_OCC3 - Profession or occupation (3-digit) Sierra Leone 2004 - see Variable: SL2004A_OCC - Occupation Sierra Leone 2015 - see Variable: SL2015A_OCC - Main occupation in the past 12 months Slovakia 1991 - see Variable: SK1991A_OCC - Occupation (2-digit) Slovakia 2001 - see Variable: SK2001A_OCC2 - Occupation (2-digit) Slovakia 2011 - see Variable: SK2011A_OCC2 - Occupation (2-digit) Slovenia 2002 - see Variable: SI2002A_OCC - Occupation South Africa 1996 - see Variable: ZA1996A_OCC3 - Occupation, 3 digits South Africa 2001 - see Variable: ZA2001A_OCC - Occupation, 3 digit South Africa 2007 - see Variable: ZA2007A_OCC3 - Occupation, 3 digits South Sudan 2008 - see Variable: SS2008A_OCC - Occupation Spain 1981 - see Variable: ES1981A_OCC - Occupation Spain 1991 - see Variable: ES1991A_OCC - Occupation Spain 2001 - see Variable: ES2001A_OCC - Occupation Spain 2011 - see Variable: ES2011A_OCC - Occupation, 2-digits Sudan 2008 - see Variable: SD2008A_OCC - Occupation Suriname 2004 - see Variable: SR2004A_OCC - Occupation Suriname 2012 - see Variable: SR2012A_OCC - Occupation (groups) Switzerland 1970 - see Variable: CH1970A_ISCO - Present occupation (ISCO) Switzerland 1980 - see Variable: CH1980A_ISCO - Present occupation (ISCO-COM) Switzerland 1990 - see Variable: CH1990A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2000 - see Variable: CH2000A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2011 - see Variable: CH2011A_OCC - Current occupation (1-digit, ISCO-08) Tanzania 1988 - see Variable: TZ1988A_OCC - Occupation Tanzania 2002 - see Variable: TZ2002A_OCC - Occupation last week Tanzania 2012 - see Variable: TZ2012A_OCC - Occupation Thailand 1970 - see Variable: TH1970A_OCC - Principal occupation last year Thailand 1980 - see Variable: TH1980A_OCC - Occupation last year Thailand 1990 - see Variable: TH1990A_OCC3 - Occupation last year Thailand 2000 - see Variable: TH2000A_OCC3 - Occupation last year, 3 digits Togo 1960 - see Variable: TG1960A_OCC - Occupation (3-digits) Togo 1970 - see Variable: TG1970A_OCC3 - Occupation (3-digits) Togo 2010 - see Variable: TG2010A_OCC2 - Occupation (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_OCC - Main occupation (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_OCC - Main occupation during previous week (three digits) Trinidad and Tobago 2000 - see Variable: TT2000A_OCC - Main occupation (3 digits) Turkey 1985 - see Variable: TR1985A_OCC2 - Occupation (2-digit) Turkey 1990 - see Variable: TR1990A_OCC2 - Current occupation (2 digits) Turkey 2000 - see Variable: TR2000A_OCC2 - Current occupation, 2 digit Uganda 1991 - see Variable: UG1991A_OCC - Occupation, 3 digits Uganda 2002 - see Variable: UG2002A_OCC - Occupation, 3 digits Uganda 2014 - see Variable: UG2014A_OCC - Occupation (2-digits) United Kingdom 1961 - see Variable: UK1961A_OCC - Occupation United Kingdom 1971 - see Variable: UK1971A_OCC - Occupation United Kingdom 1991 - see Variable: UK1991A_OCC - Occupational classification United Kingdom 2001 - see Variable: UK2001A_OCC3 - Standard occupational classification 2000-minor United States 1960 - see Variable: US1960A_OCC - Occupation United States 1970 - see Variable: US1970A_OCC - Occupation United States 1980 - see Variable: US1980A_OCC - Occupation United States 1990 - see Variable: US1990A_OCC - Occupation United States 2000 - see Variable: US2000A_OCC - Occupation United States 2005 - see Variable: US2005A_OCC2000M - Occupation, 2000 basis, modal category assignment United States 2010 - see Variable: US2010A_OCC - Occupation United States 2015 - see Variable: US2015A_OCC - Occupation last week United States 2020 - see Variable: US2020A_OCC - Occupation last week Uruguay 1963 - see Variable: UY1963A_OCC2 - Primary occupation [2-digit] Uruguay 1975 - see Variable: UY1975A_OCC - Occupation (COTA, 3 digits) Uruguay 1985 - see Variable: UY1985A_OCC - Occupation during the past week Uruguay 1996 - see Variable: UY1996A_OCC - Occupation (ISCO 88, 3 digits) Uruguay 2006 - see Variable: UY2006A_OCC3 - Occupation (ISCO-88, 3 digits) Venezuela 1981 - see Variable: VE1981A_OCC3 - Occupation, 3 digits Venezuela 1990 - see Variable: VE1990A_OCC - Occupation, 3 digits Venezuela 2001 - see Variable: VE2001A_OCC - Occupation Vietnam 1989 - see Variable: VN1989A_OCC2 - Occupation, 2 digits Vietnam 1999 - see Variable: VN1999A_OCC3 - Occupation, 3 digit Vietnam 2009 - see Variable: VN2009A_OCC - Occupation Vietnam 2019 - see Variable: VN2019A_OCC1 - Occupation, 1 digit Zambia 1990 - see Variable: ZM1990A_OCC - Occupation Zambia 2000 - see Variable: ZM2000A_OCC - Main occupation last 12 months, 3 digits Zambia 2010 - see Variable: ZM2010A_OCC2 - Main occupation last 12 months, 3 digits Zimbabwe 2012 - see Variable: ZW2012A_OCC - Occupation (3-digits) Work Variables -- PERSON Industry, general recode INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples. "Industry" refers to the activity or product of the establishment or sector in which a person worked. 000 NIU (not in universe) 010 Agriculture, fishing, and forestry 020 Mining and extraction 030 Manufacturing 040 Electricity, gas, water and waste management 050 Construction 060 Wholesale and retail trade 070 Hotels and restaurants 080 Transportation, storage, and communications 090 Financial services and insurance 100 Public administration and defense 110 Services, not specified 111 Business services and real estate 112 Education 113 Health and social work 114 Other services 120 Private household services 130 Other industry, n.e.c. 998 Response suppressed 999 Unknown Work Variables -- PERSON Industry, unrecoded "Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International. IND is a 5-digit numeric variable. Some samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Argentina 1970 - see Variable: AR1970A_IND4 - Industry [4 digit] Argentina 1980 - see Variable: AR1980A_IND - Industry Argentina 1991 - see Variable: AR1991A_IND - Industry Argentina 2001 - see Variable: AR2001A_IND - Industry Armenia 2001 - see Variable: AM2001A_IND - Principal activity at place of work Armenia 2011 - see Variable: AM2011A_IND - Industry Austria 1971 - see Variable: AT1971A_INDBR - Economic activity of supporter: branch Austria 1981 - see Variable: AT1981A_INDBR - Economic activity of supporter: branch Austria 1991 - see Variable: AT1991A_INDBR - Economic activity of supporter: branch Austria 2001 - see Variable: AT2001A_INDBR - Economic activity of supporter: branch Austria 2011 - see Variable: AT2011A_IND - Industry Bangladesh 1991 - see Variable: BD1991A_IND - Industry Bangladesh 2001 - see Variable: BD2001A_IND - Main work field Bangladesh 2011 - see Variable: BD2011A_IND - Industry Belarus 2009 - see Variable: BY2009A_ECONACT - Industry Benin 1979 - see Variable: BJ1979A_IND - Industry (1-digit) Benin 1992 - see Variable: BJ1992A_IND3 - Industry (2-digits) Benin 2002 - see Variable: BJ2002A_IND2 - Industry (2-digits) Benin 2013 - see Variable: BJ2013A_IND3 - Industry (3-digit) Bolivia 1976 - see Variable: BO1976A_IND - Industry Bolivia 1992 - see Variable: BO1992A_IND3 - Activity, 3 digits Bolivia 2001 - see Variable: BO2001A_IND3 - Industry, 3 digits Bolivia 2012 - see Variable: BO2012A_IND2 - Industry (2 digit) Botswana 1981 - see Variable: BW1981A_IND - Industry Botswana 1991 - see Variable: BW1991A_IND - Industry Botswana 2001 - see Variable: BW2001A_IND - Industry Botswana 2011 - see Variable: BW2011A_IND - Industry, 3-digits Brazil 1960 - see Variable: BR1960A_INDUSTRY - Industry Brazil 1970 - see Variable: BR1970A_INDUSTRY - Industry Brazil 1980 - see Variable: BR1980A_INDUSTRY - Industry Brazil 1991 - see Variable: BR1991A_IND - Industry Brazil 2000 - see Variable: BR2000A_IND - Industry, 5 digits Brazil 2010 - see Variable: BR2010A_IND - Industry of work from July 25 to July 31, 2010 Burkina Faso 1996 - see Variable: BF1996A_IND - Branch of activity Cambodia 1998 - see Variable: KH1998A_IND - Industry Cambodia 2004 - see Variable: KH2004A_IND3 - Industry (3-digits) Cambodia 2008 - see Variable: KH2008A_IND - Industry Cambodia 2013 - see Variable: KH2013A_IND - Industry (3-digits) Cambodia 2019 - see Variable: KH2019A_IND3 - Industy (ISIC rev 4, 3-digit) Cameroon 2005 - see Variable: CM2005A_IND - Industry Canada 1971 - see Variable: CA1971A_IND - Industry Canada 1981 - see Variable: CA1981A_IND - Industry (1981 standard industrial classification) Canada 1991 - see Variable: CA1991A_IND80 - Industry (1980 standard industrial classification) Canada 2001 - see Variable: CA2001A_IND80P - Industry (1980 Standard Industrial Classification) Canada 2011 - see Variable: CA2011A_IND - Industry Chile 1960 - see Variable: CL1960A_IND - Industry Chile 1970 - see Variable: CL1970A_IND4 - Industry (4-digit) Chile 1982 - see Variable: CL1982A_IND4 - Industry (4-digit) Chile 1992 - see Variable: CL1992A_IND - Industry Chile 2002 - see Variable: CL2002A_IND - Industry Chile 2017 - see Variable: CL2017A_IND - Industry (1-digit) China 1982 - see Variable: CN1982A_INDUSTRY - Industry China 1990 - see Variable: CN1990A_IND - Industry China 2000 - see Variable: CN2000A_IND - Industry (2-digit) Colombia 1964 - see Variable: CO1964A_IND4 - Industry, 4 digits Colombia 1973 - see Variable: CO1973A_IND - Industry Colombia 1993 - see Variable: CO1993A_IND - Industry Colombia 2005 - see Variable: CO2005A_IND - Industry (2-digit) Costa Rica 1963 - see Variable: CR1963A_IND3 - Industry, 3 digits Costa Rica 1973 - see Variable: CR1973A_IND4 - Industry, 4 digits Costa Rica 1984 - see Variable: CR1984A_IND4 - Industry, 4 digits Costa Rica 2000 - see Variable: CR2000A_IND3 - Industry, 3 digits Costa Rica 2011 - see Variable: CR2011A_IND - Industry 2-digit Cuba 2002 - see Variable: CU2002A_IND - Industry Cuba 2012 - see Variable: CU2012A_IND - Industry Côte d'Ivoire 1988 - see Variable: CI1988A_IND - Industry (1-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_IND2 - Industry sector (detailed) Dominican Republic 1960 - see Variable: DO1960A_IND - Industry Dominican Republic 1970 - see Variable: DO1970A_IND1 - Industry, 3 digits Dominican Republic 1981 - see Variable: DO1981A_IND - Industry (3-digit) Dominican Republic 2002 - see Variable: DO2002A_IND - Industry Dominican Republic 2010 - see Variable: DO2010A_IND - Main activity of business Ecuador 1962 - see Variable: EC1962A_IND3 - Industry, 3 digits Ecuador 1982 - see Variable: EC1982A_IND3 - Industry Ecuador 1990 - see Variable: EC1990A_IND3 - Industry, 3 digits Ecuador 2001 - see Variable: EC2001A_IND - Industry, 3 digits Ecuador 2010 - see Variable: EC2010A_IND3 - Industry (3 digits, ISIC rev 4) Egypt 1986 - see Variable: EG1986A_IND3 - Industry (3-digit) Egypt 1996 - see Variable: EG1996A_IND3 - Industry (ISIC) Egypt 2006 - see Variable: EG2006A_IND - Industry, 3-digit El Salvador 1992 - see Variable: SV1992A_IND - Industry (3-digit) El Salvador 2007 - see Variable: SV2007A_IND3DIG - Industry (3-digit) Ethiopia 1984 - see Variable: ET1984A_IND2 - Industry Ethiopia 1994 - see Variable: ET1994A_IND - Industry Fiji 1966 - see Variable: FJ1966A_IND - Industry Fiji 1976 - see Variable: FJ1976A_IND - Industry Fiji 1986 - see Variable: FJ1986A_IND - Industry 3 digits Fiji 1996 - see Variable: FJ1996A_IND2DIG - Industry (2 digits) Fiji 2007 - see Variable: FJ2007A_IND2 - Industry, 2 digits Fiji 2014 - see Variable: FJ2014A_IND - Industry Finland 2010 - see Variable: FI2010A_IND - Industry France 1962 - see Variable: FR1962A_IND - Industry France 1968 - see Variable: FR1968A_IND41 - Industry, 41 categories France 1975 - see Variable: FR1975A_INDUN - Industry, UNO France 1982 - see Variable: FR1982A_INDUN - Industry, United Nations nomenclature France 1990 - see Variable: FR1990A_IND15 - Industry, 15 categories France 1999 - see Variable: FR1999A_INDCITI - Industry, ISIC France 2006 - see Variable: FR2006A_IND700N - Economic activity in 700 categories (2003 classification) numeric recode France 2011 - see Variable: FR2011A_IND - Industry, 732 categories Germany 1970 - see Variable: DE1970A_IND - Industry Germany 1971 - see Variable: DE1971A_IND - Industry Germany 1981 - see Variable: DE1981A_IND - Industry Germany 1987 - see Variable: DE1987A_IND - Industry Ghana 2000 - see Variable: GH2000A_IND - Industry Ghana 2010 - see Variable: GH2010A_IND - Industry (major groups) Greece 1971 - see Variable: GR1971A_IND - Industry Greece 1981 - see Variable: GR1981A_IND - Industry Greece 1991 - see Variable: GR1991A_IND - Industry Greece 2001 - see Variable: GR2001A_IND - Industry Greece 2011 - see Variable: GR2011A_IND - Industry Guatemala 1964 - see Variable: GT1964A_IND3 - Field of economic activity (3-digits) Guatemala 1973 - see Variable: GT1973A_IND3 - Industry (3-digits) Guatemala 1981 - see Variable: GT1981A_IND3 - Industry (3-digits) Guatemala 1994 - see Variable: GT1994A_IND2 - Field of economic activity (2-digits) Guatemala 2002 - see Variable: GT2002A_IND1 - Field of economic activity (1-digit) Guinea 1983 - see Variable: GN1983A_IND2 - Branch of economic activity, 2 digits Guinea 2014 - see Variable: GN2014A_IND - Industry (3-digit) Haiti 1982 - see Variable: HT1982A_IND - Branch of work Haiti 2003 - see Variable: HT2003A_IND2 - Industry, 3 digits Honduras 1961 - see Variable: HN1961A_IND - Industry (2-digits) Honduras 1974 - see Variable: HN1974A_IND - Industry (3-digits) Honduras 2001 - see Variable: HN2001A_IND - Industry (4-digit) Honduras 2013 - see Variable: HN2013A_IND3 - Economic activity (3-digit) Hungary 2001 - see Variable: HU2001A_IND - Industry, branch of economy Hungary 2011 - see Variable: HU2011A_IND - Industry Indonesia 1971 - see Variable: ID1971A_IND - Industry Indonesia 1976 - see Variable: ID1976A_IND - Industry Indonesia 1980 - see Variable: ID1980A_IND - Industry Indonesia 1985 - see Variable: ID1985A_IND - Industry of primary occupation Indonesia 1990 - see Variable: ID1990A_IND - Industry of main occupation last week Indonesia 1995 - see Variable: ID1995A_IND - Industry Indonesia 2000 - see Variable: ID2000A_IND - Industry of primary occupation Indonesia 2005 - see Variable: ID2005A_IND - Industry Indonesia 2010 - see Variable: ID2010A_IND - Industry Iran 2006 - see Variable: IR2006A_IND4 - Industry Iran 2011 - see Variable: IR2011A_IND - Industry (3-digit) Iraq 1997 - see Variable: IQ1997A_IND - Industry Ireland 1971 - see Variable: IE1971A_IND - Industry Ireland 1981 - see Variable: IE1981A_IND - Industry class Ireland 1986 - see Variable: IE1986A_IND - Industry class Ireland 1991 - see Variable: IE1991A_IND - Industry class Ireland 1996 - see Variable: IE1996A_IND - Industry class Ireland 2002 - see Variable: IE2002A_IND - Industry class Ireland 2006 - see Variable: IE2006A_IND - Industry class Ireland 2011 - see Variable: IE2011A_IND - Industry Ireland 2016 - see Variable: IE2016A_IND - Industry Israel 1972 - see Variable: IL1972A_IND - Industry Israel 1983 - see Variable: IL1983A_IND - Industry Israel 1995 - see Variable: IL1995A_IND - Industry Israel 2008 - see Variable: IL2008A_IND - Branch of economy Italy 2001 - see Variable: IT2001A_IND - Industry Italy 2011 - see Variable: IT2011A_IND - Sector of economic activity Jamaica 1982 - see Variable: JM1982A_IND - Industry or type of business during past week / in last job Jamaica 1991 - see Variable: JM1991A_IND3 - Industry during past week or in last job, 3 digits Jamaica 2001 - see Variable: JM2001A_IND3 - Industry 3-digit Jordan 2004 - see Variable: JO2004A_IND - Major current economic activity of the establishment Kenya 2019 - see Variable: KE2019A_IND1 - Industry, ISIC section Kyrgyzstan 1999 - see Variable: KG1999A_IND - Activity type of an enterprise you are working in Kyrgyzstan 2009 - see Variable: KG2009A_IND - Type of industry, enterprise or organization Laos 1995 - see Variable: LA1995A_IND2 - Main industry in the last 12 months (2-digit) Laos 2005 - see Variable: LA2005A_IND3 - Industry (ISIC 3-digit) Laos 2015 - see Variable: LA2015A_IND2 - Industry (2-digit ISIC Rev. 4) Lesotho 2006 - see Variable: LS2006A_IND - Industry (2-digits) Liberia 1974 - see Variable: LR1974A_IND - Industry (3-digit) Liberia 2008 - see Variable: LR2008A_IND - Industry Malawi 1987 - see Variable: MW1987A_IND2 - Industry, 2 digit Malawi 1998 - see Variable: MW1998A_IND4 - Industry, 4-digit Malawi 2008 - see Variable: MW2008A_IND2 - Main industry Malawi 2018 - see Variable: MW2018A_IND3 - Main industry (ISIC 2008 3-digit) Malaysia 1970 - see Variable: MY1970A_IND3 - Industry last week Malaysia 1980 - see Variable: MY1980A_IND3 - Industry last week (3 digits) Malaysia 1991 - see Variable: MY1991A_IND3 - Main industry (3 digits) Malaysia 2000 - see Variable: MY2000A_IND3 - Main industry - 3 digits Mali 1987 - see Variable: ML1987A_IND - Principal branch of employment last month Mali 1998 - see Variable: ML1998A_IND - Branch of economic activity Mali 2009 - see Variable: ML2009A_IND - Industry Mauritius 1990 - see Variable: MU1990A_IND - Industry (1-digit) Mauritius 2000 - see Variable: MU2000A_IND1 - Industry (1 digit) Mauritius 2011 - see Variable: MU2011A_IND2 - Industry (2-digit) Mexico 1960 - see Variable: MX1960A_IND - Industry Mexico 1970 - see Variable: MX1970A_IND - Industry Mexico 1990 - see Variable: MX1990A_IND5 - Industry, 5 digits Mexico 1995 - see Variable: MX1995A_IND - Industry Mexico 2000 - see Variable: MX2000A_IND3 - Industry, 3 digits Mexico 2010 - see Variable: MX2010A_IND - Industry Mexico 2015 - see Variable: MX2015A_IND - Industry Mexico 2020 - see Variable: MX2020A_IND - Industry (4-digits) Mongolia 2000 - see Variable: MN2000A_IND - Industry Mongolia 2010 - see Variable: MN2010A_IND2 - Industry, division (ISIC Revision 4) Mongolia 2020 - see Variable: MN2020A_IND3 - Main industry (3-digit) Morocco 1982 - see Variable: MA1982A_IND3 - Industry (3-digit) Morocco 1994 - see Variable: MA1994A_IND2 - Industry (2 digits) Morocco 2004 - see Variable: MA2004A_IND2 - Sector of economic activity (2-digit) Morocco 2014 - see Variable: MA2014A_IND2 - Industry (2-digit) Mozambique 1997 - see Variable: MZ1997A_IND1 - Industry Mozambique 2007 - see Variable: MZ2007A_IND - Industry Mozambique 2017 - see Variable: MZ2017A_IND2 - Main economic activity (2-digits CAE Rev.2) Myanmar 2014 - see Variable: MM2014A_IND - Industry Nepal 2001 - see Variable: NP2001A_IND - Usual industry Nepal 2011 - see Variable: NP2011A_IND - Industry (2-digit) Netherlands 1960 - see Variable: NL1960A_IND - Industry Netherlands 1971 - see Variable: NL1971A_IND - Industry Netherlands 2001 - see Variable: NL2001A_IND - Industry Netherlands 2011 - see Variable: NL2011A_IND - Industry (1-digit) Nicaragua 1971 - see Variable: NI1971A_IND3 - Industry (ISIC2), 3 digits Nicaragua 1995 - see Variable: NI1995A_IND - Industry (ISIC 3.1, 3 digits) Nicaragua 2005 - see Variable: NI2005A_IND3 - Industry (ISIC 3.1, 3 digits)) Pakistan 1973 - see Variable: PK1973A_IND2 - Industry, 2 digit Palestine 1997 - see Variable: PS1997A_IND - Industry Palestine 2007 - see Variable: PS2007A_IND - Industry Palestine 2017 - see Variable: PS2017A_IND - Industry Panama 1960 - see Variable: PA1960A_IND3 - Industry (3 digit) Panama 1970 - see Variable: PA1970A_IND3 - Industry [3 digit] Panama 1980 - see Variable: PA1980A_IND - Industry, 3-digit Panama 1990 - see Variable: PA1990A_IND3 - Industry - 3 Digits Panama 2000 - see Variable: PA2000A_IND - Economic activity, 3 digits Panama 2010 - see Variable: PA2010A_IND - Economic activity, 4 digits Papua New Guinea 1980 - see Variable: PG1980A_IND - Industry, 3 digits Papua New Guinea 2000 - see Variable: PG2000A_IND3 - Industry (3-digit) Paraguay 1962 - see Variable: PY1962A_IND3 - Industry (3 digits) Paraguay 1972 - see Variable: PY1972A_IND3 - Industry (3 digits) Paraguay 1982 - see Variable: PY1982A_IND3 - Industry, 3-digits Paraguay 1992 - see Variable: PY1992A_IND3 - Industry, 3 digits Paraguay 2002 - see Variable: PY2002A_IND - Industry (4 digits) Peru 1993 - see Variable: PE1993A_IND - Economic activity (4 digits) Peru 2007 - see Variable: PE2007A_IND - Economic activity (4-digits) Peru 2017 - see Variable: PE2017A_IND4 - Economic activity (4-digits, in primary job last week) Philippines 1990 - see Variable: PH1990A_IND - Industry Philippines 1995 - see Variable: PH1995A_IND - Industry Philippines 2000 - see Variable: PH2000A_IND - Industry Philippines 2010 - see Variable: PH2010A_IND3 - Kind of business or industry (3-digit) Poland 1978 - see Variable: PL1978A_IND - Industry (of person providing support) Poland 2002 - see Variable: PL2002A_IND - Industry (main employer) Portugal 1981 - see Variable: PT1981A_IND - Industry Portugal 1991 - see Variable: PT1991A_IND - Industry Portugal 2001 - see Variable: PT2001A_IND - Industry Portugal 2011 - see Variable: PT2011A_IND - Industry Puerto Rico 1970 - see Variable: PR1970A_IND1990 - Industry, 1990 basis Puerto Rico 1980 - see Variable: PR1980A_IND1990 - Industry, 1990 basis Puerto Rico 1990 - see Variable: PR1990A_IND - Industry Puerto Rico 2000 - see Variable: PR2000A_IND1990 - Industry, 1990 basis Puerto Rico 2005 - see Variable: PR2005A_IND1990 - Industry, 1990 basis Puerto Rico 2010 - see Variable: PR2010A_IND - Industry Puerto Rico 2015 - see Variable: PR2015A_IND - Industry Puerto Rico 2020 - see Variable: PR2020A_IND - Industry Romania 1977 - see Variable: RO1977A_IND - Industry of supporter Romania 1977 - see Variable: RO1977A_WKACT - Activity category Romania 1992 - see Variable: RO1992A_IND - Industry Romania 2002 - see Variable: RO2002A_IND - Industry Romania 2011 - see Variable: RO2011A_INDGEN - Industry (general categories) Rwanda 2002 - see Variable: RW2002A_IND - Industry Rwanda 2012 - see Variable: RW2012A_IND2 - Industry (3-digit) Saint Lucia 1991 - see Variable: LC1991A_IND3 - Industry, 2 digit Senegal 1988 - see Variable: SN1988A_IND - Industry Senegal 2013 - see Variable: SN2013A_IND3 - Industry (3-digit) Sierra Leone 2004 - see Variable: SL2004A_IND - Industry Slovenia 2002 - see Variable: SI2002A_IND - Industry South Africa 1996 - see Variable: ZA1996A_IND2 - Industry, 2 digits South Africa 2001 - see Variable: ZA2001A_IND3 - Industry, 3 digit South Africa 2007 - see Variable: ZA2007A_IND3 - Industry, 3 digit South Sudan 2008 - see Variable: SS2008A_IND - Industry Spain 1981 - see Variable: ES1981A_IND - Industry Spain 1991 - see Variable: ES1991A_IND - Activity of the establishment Spain 2001 - see Variable: ES2001A_IND - Industry Spain 2011 - see Variable: ES2011A_IND - Industry, 2-digits Sudan 2008 - see Variable: SD2008A_IND - Industry Suriname 2004 - see Variable: SR2004A_IND - Industry Suriname 2012 - see Variable: SR2012A_IND - Industry (groups) Switzerland 1970 - see Variable: CH1970A_IND - Branch of economic activity (industry) Switzerland 1980 - see Variable: CH1980A_IND - Branch of economic activity (industry) Switzerland 1990 - see Variable: CH1990A_IND - Branch of economic activity (industry) Switzerland 2000 - see Variable: CH2000A_IND - Branch of economic activity (industry) Switzerland 2011 - see Variable: CH2011A_IND2 - Industry of local unit, workplace (NOGA 2-digit) Tanzania 2002 - see Variable: TZ2002A_IND - Industry last week Tanzania 2012 - see Variable: TZ2012A_IND - Industry Thailand 1970 - see Variable: TH1970A_IND - Principal industry last year Thailand 1980 - see Variable: TH1980A_IND - Principal industry last year Thailand 1990 - see Variable: TH1990A_IND3 - Principal industry last year, 3 digits Thailand 2000 - see Variable: TH2000A_IND3 - Industry last year, 3 digits Togo 1970 - see Variable: TG1970A_IND - Industry (1-digit) Togo 2010 - see Variable: TG2010A_IND3 - Industry (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_IND - Industry (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_IND - Industry Trinidad and Tobago 2000 - see Variable: TT2000A_IND - Industry (2 digits) Turkey 1985 - see Variable: TR1985A_INDALT - Industry (2-digit) Turkey 1990 - see Variable: TR1990A_IND2 - Industry (2 digits) Turkey 2000 - see Variable: TR2000A_IND2 - Industry, 2 digit Uganda 2002 - see Variable: UG2002A_IND - Industry United Kingdom 1961 - see Variable: UK1961A_IND - Industry United Kingdom 1971 - see Variable: UK1971A_IND - Industry United Kingdom 1991 - see Variable: UK1991A_IND - Industrial classification United Kingdom 2001 - see Variable: UK2001A_IND - Industry classification United States 1960 - see Variable: US1960A_IND - Industry United States 1970 - see Variable: US1970A_IND - Industry United States 1980 - see Variable: US1980A_IND - Industry United States 1990 - see Variable: US1990A_IND - Industry United States 2000 - see Variable: US2000A_IND - Industry United States 2005 - see Variable: US2005A_IND - Industry United States 2010 - see Variable: US2010A_IND - Industry United States 2015 - see Variable: US2015A_IND - Industry United States 2020 - see Variable: US2020A_IND - Industry Uruguay 1963 - see Variable: UY1963A_IND2 - Primary industry [2-digit] Uruguay 1985 - see Variable: UY1985A_IND - Industry during the past week Uruguay 1996 - see Variable: UY1996A_IND2 - Industry (ISIC 3, 2 digits) Uruguay 2006 - see Variable: UY2006A_IND3 - Industry (ISIC rev 3, 3 digits) Venezuela 1981 - see Variable: VE1981A_IND - Industry Venezuela 1990 - see Variable: VE1990A_IND - Industry Venezuela 2001 - see Variable: VE2001A_IND - Industry Vietnam 1989 - see Variable: VN1989A_IND2 - Industry, 2 digits Vietnam 1999 - see Variable: VN1999A_IND3 - Industry, 3 digit Vietnam 2009 - see Variable: VN2009A_IND - Industry Vietnam 2019 - see Variable: VN2019A_IND3 - Industry, 3 digit Zambia 1990 - see Variable: ZM1990A_IND - Industry Zambia 2000 - see Variable: ZM2000A_IND - Type of industry, 3 digits Zambia 2010 - see Variable: ZM2010A_IND2 - Industry, 3 digits Work Variables -- PERSON Status in employment (class of worker) [general version] CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. 0 NIU (not in universe) 1 Self-employed 2 Wage/salary worker 3 Unpaid worker 4 Other 9 Unknown/missing Work Variables -- PERSON Status in employment (class of worker) [detailed version] CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. 000 NIU (not in universe) 100 Self-employed 101 Self-employed, unincorporated 102 Self-employed, incorporated 110 Employer 111 Sharecropper, employer 120 Working on own account 121 Own account, agriculture 122 Domestic worker, self-employed 123 Subsistence worker, own consumption 124 Own account, other 125 Own account, without temporary/unpaid help 126 Own account, with temporary/unpaid help 130 Member of cooperative 140 Sharecropper 141 Sharecropper, self-employed 142 Sharecropper, employee 150 Kibbutz member 199 Self-employed, not specified 200 Wage/salary worker 201 Management 202 Non-management 203 White collar (non-manual) 204 Blue collar (manual) 205 White or blue collar 206 Day laborer 207 Employee, with a permanent job 208 Employee, occasional, temporary, contract 209 Employee without legal contract 210 Wage/salary worker, private employer 211 Apprentice 212 Religious worker 213 Wage/salary worker, non-profit, NGO 214 White collar, private 215 Blue collar, private 216 Paid family worker 217 Cooperative employee 220 Wage/salary worker, government or public sector 221 Federal, government employee 222 State government employee 223 Local government employee 224 White collar, public 225 Blue collar, public 226 Public companies 227 Civil servants, local collectives 230 Domestic worker (work for private household) 240 Seasonal migrant 241 Seasonal migrant, no broker 242 Seasonal migrant, uses broker 250 Other wage and salary 251 Canal zone/commission employee 252 Government employment/training program 253 Mixed state/private enterprise/parastatal 254 Government public work program 255 State enterprise employee 256 Coordinated and continuous collaboration job 300 Unpaid worker 310 Unpaid family worker 320 Apprentice, unpaid or unspecified 330 Trainee 340 Apprentice or trainee 350 Works for others without wage 400 Other 999 Unknown/missing Work Variables -- PERSON Migration status, previous residence MIGRATEP indicates whether the person's most recent move (if any) was between minor administrative units, major units, or countries. 00 NIU (not in universe) 10 Same major administrative unit 11 Same major, same minor administrative unit 12 Same major, different minor administrative unit 20 Different major administrative unit 30 Abroad 98 Response suppressed 99 Not reported/missing/unknown Migration: Global Variables -- PERSON 1st subnational geographic level of previous residence, world [consistent boundaries over time] GEOMIG1_P indicates the major administrative unit in which the person previously resided prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of previous residence, to enable comparative analysis of subnational migration. Foreign migrants are coded 097 or 997. Codes for GEOMIG1_1 match the geographic codes in GEOLEV1 (current place of residence). For similar information for different time intervals since migration, see variables GEOMIG1_1, GEOMIG1_5, and GEOMIG1_10. More on migration and geography can be found here. 051901 Yerevan [Province: Armenia] 051902 Aragatsotn [Province: Armenia] 051903 Ararat [Province: Armenia] 051904 Armavir [Province: Armenia] 051905 Gegharkunik [Province: Armenia] 051906 Lori [Province: Armenia] 051907 Kotayk [Province: Armenia] 051908 Shirak [Province: Armenia] 051909 Syunik [Province: Armenia] 051910 Vayots Dzor [Province: Armenia] 051911 Tavush [Province: Armenia] 051912 Nagorno-Karabagh [Province: Armenia] 051997 Foreign country [Province: Armenia] 051998 Unknown [Province: Armenia] 051999 NIU (not in universe) [Province: Armenia] 112001 Brest [Region: Belarus] 112002 Vitebsk [Region: Belarus] 112003 Gomel [Region: Belarus] 112004 Grodno [Region: Belarus] 112006 Minsk, Minsk City [Region: Belarus] 112007 Mogilev [Region: Belarus] 112097 Foreign country [Region: Belarus] 112098 Unknown [Region: Belarus] 112099 NIU (not in universe) [Region: Belarus] 204001 Alibori [Department: Benin] 204002 Atacora [Department: Benin] 204003 Atlantique [Department: Benin] 204004 Borgou [Department: Benin] 204005 Collines [Department: Benin] 204006 Couffo [Department: Benin] 204007 Donga [Department: Benin] 204008 Littoral [Department: Benin] 204009 Mono [Department: Benin] 204010 Oueme [Department: Benin] 204011 Plateau [Department: Benin] 204012 Zou [Department: Benin] 204097 Abroad [Department: Benin] 204098 Unknown [Department: Benin] 204099 NIU (not in universe) [Department: Benin] 076011 Rondônia [State: Brazil] 076012 Acre [State: Brazil] 076013 Amazonas [State: Brazil] 076014 Roraima [State: Brazil] 076015 Pará [State: Brazil] 076016 Amapá [State: Brazil] 076021 Maranhão [State: Brazil] 076022 Piauí [State: Brazil] 076023 Ceará [State: Brazil] 076024 Rio Grande do Norte [State: Brazil] 076025 Paraíba [State: Brazil] 076026 Pernambuco, Arquipelago de Fernando de Noronha [State: Brazil] 076027 Alagoas [State: Brazil] 076028 Sergipe [State: Brazil] 076029 Bahia [State: Brazil] 076031 Minas Gerais [State: Brazil] 076032 Espírito Santo [State: Brazil] 076033 Rio de Janeiro, Guanabara [State: Brazil] 076035 São Paulo [State: Brazil] 076036 Serra dos Aimorés [State: Brazil] 076041 Paraná [State: Brazil] 076042 Santa Catarina [State: Brazil] 076043 Rio Grande do Sul [State: Brazil] 076051 Mato Grosso do Sul, Mato Grosso [State: Brazil] 076052 Goiás, Tocantins [State: Brazil] 076053 Distrito Federal [State: Brazil] 076054 Brazil, unspecified [State: Brazil] 076097 Abroad [State: Brazil] 076098 Unknown [State: Brazil] 076099 NIU (not in universe) [State: Brazil] 116001 Banteay Meanchey [Province: Cambodia] 116002 Battambang [Province: Cambodia] 116003 Kampong Cham, Tbong Khmum [Province: Cambodia] 116004 Kampong Chhnang [Province: Cambodia] 116005 Kampong Speu [Province: Cambodia] 116006 Kampong Thom [Province: Cambodia] 116007 Kampot [Province: Cambodia] 116008 Phnom Penh, Kandal [Province: Cambodia] 116009 Koh Kong, Preah Sihanouk [Province: Cambodia] 116010 Kratie [Province: Cambodia] 116011 Mondul Kiri [Province: Cambodia] 116013 Preah Vihear [Province: Cambodia] 116014 Prey Veng [Province: Cambodia] 116015 Pursat [Province: Cambodia] 116016 Ratanak Kiri [Province: Cambodia] 116017 Siem Reap, Otdar Meanchey [Province: Cambodia] 116019 Stung Treng [Province: Cambodia] 116020 Svay Rieng [Province: Cambodia] 116021 Takeo [Province: Cambodia] 116023 Kep [Province: Cambodia] 116024 Pailin [Province: Cambodia] 116097 Foreign country [Province: Cambodia] 116098 Unknown [Province: Cambodia] 116099 NIU (not in universe) [Province: Cambodia] 120002 Centre, Sud [Province: Cameroon] 120003 Est [Province: Cameroon] 120004 Nord, Adamoua, Extrème Nord [Province: Cameroon] 120005 Littoral [Province: Cameroon] 120007 Nord Ouest [Province: Cameroon] 120008 Ouest [Province: Cameroon] 120010 Sud Ouest [Province: Cameroon] 120096 Cameroon - unknown arrondissement [Province: Cameroon] 120097 Foreign country [Province: Cameroon] 120098 Unknown [Province: Cameroon] 120099 NIU (not in universe) [Province: Cameroon] 152001 Tarapaca [Province: Chile] 152002 Antofagasta [Province: Chile] 152003 Atacama [Province: Chile] 152004 Coquimbo [Province: Chile] 152005 Aconcagua [Province: Chile] 152006 Valparaíso [Province: Chile] 152007 Santiago [Province: Chile] 152008 O'Higgins [Province: Chile] 152009 Colchagua [Province: Chile] 152010 Curicó [Province: Chile] 152011 Talca [Province: Chile] 152012 Maule [Province: Chile] 152013 Linares [Province: Chile] 152014 Ñuble [Province: Chile] 152015 Concepción [Province: Chile] 152016 Arauco [Province: Chile] 152017 Bío Bío [Province: Chile] 152018 Malleco [Province: Chile] 152019 Cautín [Province: Chile] 152020 Valdivia [Province: Chile] 152021 Osorno [Province: Chile] 152022 Llanquihue [Province: Chile] 152023 Chiloé [Province: Chile] 152024 Aysén [Province: Chile] 152025 Magallanes [Province: Chile] 152097 Foreign country [Province: Chile] 152098 Unknown [Province: Chile] 152099 NIU (not in universe) [Province: Chile] 170005 Antioquia [Department: Colombia] 170008 Atlántico [Department: Colombia] 170011 Bogotá D.C., Cundinamarca [Department: Colombia] 170013 Bolívar, Sucre [Department: Colombia] 170015 Boyacá, Casanare [Department: Colombia] 170018 Caquetá [Department: Colombia] 170019 Cauca [Department: Colombia] 170023 Córdoba [Department: Colombia] 170027 Chocó [Department: Colombia] 170041 Huila [Department: Colombia] 170044 La Guajira [Department: Colombia] 170050 Meta [Department: Colombia] 170052 Nariño [Department: Colombia] 170054 Cesar, Norte De Santander, Magdalena [Department: Colombia] 170066 Caldas, Quindío, Risaralda [Department: Colombia] 170068 Santander [Department: Colombia] 170073 Tolima [Department: Colombia] 170076 Valle Del Cauca [Department: Colombia] 170081 Arauca [Department: Colombia] 170086 Putumayo [Department: Colombia] 170088 Archipiélago De San Andrés Y Providencia [Department: Colombia] 170095 Amazonas, Guaviare, Vaupés, Vichada, Guainía [Department: Colombia] 170097 Abroad [Department: Colombia] 170098 Unknown [Department: Colombia] 188001 San José [Province: Costa Rica] 188002 Alajuela [Province: Costa Rica] 188003 Cartago [Province: Costa Rica] 188004 Heredia [Province: Costa Rica] 188005 Guanacaste [Province: Costa Rica] 188006 Puntarenas [Province: Costa Rica] 188007 Limón [Province: Costa Rica] 188097 Foreign country [Province: Costa Rica] 188098 Unknown [Province: Costa Rica] 192021 Pinar del Río, Artemisa, Mayabeque [Province: Cuba] 192023 La Habana [Province: Cuba] 192025 Matanzas [Province: Cuba] 192026 Villa Clara [Province: Cuba] 192027 Cienfuegos [Province: Cuba] 192028 Sancti Spíritus [Province: Cuba] 192029 Ciego de Ávila [Province: Cuba] 192030 Camagüey [Province: Cuba] 192031 Las Tunas [Province: Cuba] 192032 Holguín [Province: Cuba] 192033 Granma [Province: Cuba] 192034 Santiago de Cuba [Province: Cuba] 192035 Guantánamo [Province: Cuba] 192040 Isla de la Juventud [Province: Cuba] 192997 Abroad [Province: Cuba] 192998 Unknown [Province: Cuba] 192999 NIU (not in universe) [Province: Cuba] 218001 Azuay [Province: Ecuador] 218002 Bolívar [Province: Ecuador] 218004 Carchi [Province: Ecuador] 218005 Cotopaxi [Province: Ecuador] 218006 Chimborazo [Province: Ecuador] 218007 El Oro [Province: Ecuador] 218009 Cañar, Esmeraldas, Guayas, Manabí, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los Ríos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos [Province: Ecuador] 218010 Imbabura, Las Golondrinas [Disputed canton] [Province: Ecuador] 218011 Loja [Province: Ecuador] 218014 Morona Santiago [Province: Ecuador] 218016 Pastaza [Province: Ecuador] 218018 Tungurahua [Province: Ecuador] 218019 Zamora Chinchipe [Province: Ecuador] 218021 Napo, Orellana, Sucumbíos [Province: Ecuador] 218097 Foreign country [Province: Ecuador] 218098 Unknown and Disputed Zones [Province: Ecuador] 218999 NIU (not in universe) [Province: Ecuador] 818000 Reported same governorate as household location [Governorate: Egypt] 818001 Giza, 6th October City, Cairo, Helwan [Governorate: Egypt] 818002 Alexandria [Governorate: Egypt] 818003 Port Said [Governorate: Egypt] 818004 Suez [Governorate: Egypt] 818011 Demietta [Governorate: Egypt] 818012 Dakahlia [Governorate: Egypt] 818013 Sharkia [Governorate: Egypt] 818014 Kaliobia [Governorate: Egypt] 818015 Kafr Sheikh [Governorate: Egypt] 818016 Gharbia [Governorate: Egypt] 818018 Menoufia, Behera [Governorate: Egypt] 818019 Ismailia [Governorate: Egypt] 818022 Bani Swif [Governorate: Egypt] 818023 Fayoum [Governorate: Egypt] 818024 Menia [Governorate: Egypt] 818025 Asiut [Governorate: Egypt] 818026 Sohag [Governorate: Egypt] 818027 Qena, Luxor [Governorate: Egypt] 818028 Aswan [Governorate: Egypt] 818031 Red Sea [Governorate: Egypt] 818032 New Valley [Governorate: Egypt] 818033 Marsa Matroh [Governorate: Egypt] 818034 North Sinai [Governorate: Egypt] 818035 South Sinai [Governorate: Egypt] 818097 Abroad [Governorate: Egypt] 818098 Unknown [Governorate: Egypt] 818099 NIU (not in universe) [Governorate: Egypt] 222001 Ahuachapán [Department: El Salvador] 222002 Santa Ana [Department: El Salvador] 222003 Sonsonate [Department: El Salvador] 222004 Chalatenango [Department: El Salvador] 222005 La Libertad [Department: El Salvador] 222006 San Salvador [Department: El Salvador] 222007 Cuscatlán [Department: El Salvador] 222008 La Paz [Department: El Salvador] 222009 Cabañas [Department: El Salvador] 222010 San Vicente [Department: El Salvador] 222011 Usulután [Department: El Salvador] 222012 San Miguel [Department: El Salvador] 222013 Morazán [Department: El Salvador] 222014 La Unión [Department: El Salvador] 222098 Abroad [Department: El Salvador] 222099 NIU (not in universe) [Department: El Salvador] 231001 Tigray [Region: Ethiopia] 231002 Affar [Region: Ethiopia] 231003 Amhara [Region: Ethiopia] 231004 Oromia, Somali [Region: Ethiopia] 231006 Benishangul-Gumuz [Region: Ethiopia] 231007 Southern Nations, Nationalities, and Peoples (SNNP) [Region: Ethiopia] 231012 Gambela [Region: Ethiopia] 231013 Harari [Region: Ethiopia] 231014 Addis Ababa [Region: Ethiopia] 231015 Dire Dawa [Region: Ethiopia] 231097 Abroad [Region: Ethiopia] 231099 NIU [Region: Ethiopia] 250001 Guadeloupe [Region: France] 250002 Martinique [Region: France] 250003 French Guyana [Region: France] 250004 Réunion Island [Region: France] 250011 Île-de-France [Region: France] 250021 Champagne-Ardenne [Region: France] 250022 Picardy [Region: France] 250023 Upper Normandy [Region: France] 250024 Centre [Region: France] 250025 Lower Normandy [Region: France] 250026 Burgundy [Region: France] 250031 North Pas-de-Calais [Region: France] 250041 Lorraine [Region: France] 250042 Alsace [Region: France] 250043 Franche-Comté [Region: France] 250052 Loire Valley [Region: France] 250053 Brittany [Region: France] 250054 Poitou-Charentes [Region: France] 250072 Aquitaine [Region: France] 250073 Midi-Pyrénées [Region: France] 250074 Limousin [Region: France] 250082 Rhône-Alpes [Region: France] 250083 Auvergne [Region: France] 250091 Languedoc-Roussillon [Region: France] 250093 Provence-Alpes-Riviera [Region: France] 250094 Corsica [Region: France] 250097 Abroad [Region: France] 320001 Guatemala [Department: Guatemala] 320002 El Progreso [Department: Guatemala] 320003 Sacatepéquez [Department: Guatemala] 320004 Chimaltenango [Department: Guatemala] 320005 Escuintla [Department: Guatemala] 320006 Santa Rosa [Department: Guatemala] 320007 Sololá [Department: Guatemala] 320008 Totonicapán [Department: Guatemala] 320009 Quetzaltenango [Department: Guatemala] 320010 Suchitepéquez [Department: Guatemala] 320011 Retalhuleu [Department: Guatemala] 320012 San Marcos [Department: Guatemala] 320013 Huehuetenango [Department: Guatemala] 320014 Quiché [Department: Guatemala] 320015 Baja Verapaz [Department: Guatemala] 320016 Alta Verapaz [Department: Guatemala] 320017 Petén [Department: Guatemala] 320018 Izabal [Department: Guatemala] 320019 Zacapa [Department: Guatemala] 320020 Chiquimula [Department: Guatemala] 320021 Jalapa [Department: Guatemala] 320022 Jutiapa [Department: Guatemala] 320097 Foreign Country [Department: Guatemala] 320098 Unknown [Department: Guatemala] 320099 NIU [Department: Guatemala] 324011 Boffa [Region: Guinea] 324012 Boké [Region: Guinea] 324013 Fria [Region: Guinea] 324014 Gaoual [Region: Guinea] 324015 Koundara [Region: Guinea] 324021 Conakry [Region: Guinea] 324031 Dabola [Region: Guinea] 324032 Dinguiraye [Region: Guinea] 324033 Faranah [Region: Guinea] 324034 Kissidougou [Region: Guinea] 324041 Kankan [Region: Guinea] 324042 Kérouané [Region: Guinea] 324043 Kouroussa [Region: Guinea] 324044 Mandiana [Region: Guinea] 324045 Siguiri [Region: Guinea] 324051 Coyah, Dubréka [Region: Guinea] 324053 Forécariah [Region: Guinea] 324054 Kindia [Region: Guinea] 324055 Télimélé [Region: Guinea] 324061 Koubia [Region: Guinea] 324062 Labé [Region: Guinea] 324063 Lélouma [Region: Guinea] 324064 Mali [Region: Guinea] 324065 Tougué [Region: Guinea] 324071 Dalaba [Region: Guinea] 324072 Mamou [Region: Guinea] 324073 Pita [Region: Guinea] 324081 Beyla [Region: Guinea] 324082 Guéckédou [Region: Guinea] 324083 Lola [Region: Guinea] 324084 Macenta [Region: Guinea] 324085 Nzerekore [Region: Guinea] 324086 Yomou [Region: Guinea] 324096 Guinea, place unknown [Region: Guinea] 324097 Foreign country [Region: Guinea] 324098 Unknown [Region: Guinea] 324099 NIU (not in universe) [Region: Guinea] 332003 Nord (North) and Nord'est (North East) [Department: Haiti] 332006 Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti] 332007 Grand'Anse, Nippes, Sud (South) [Department: Haiti] 332009 Nord'Ouest (North West) [Department: Haiti] 332097 Foreign Country [Department: Haiti] 332098 Unknown [Department: Haiti] 356001 Jammu and Kashmir [State: India] 356002 Himachal Pradesh [State: India] 356003 Punjab [State: India] 356004 Chandigarh [State: India] 356006 Haryana [State: India] 356007 Delhi [State: India] 356008 Rajasthan [State: India] 356009 Uttar Pradesh, Uttaranchal [State: India] 356010 Bihar, Jharkhand [State: India] 356011 Sikkim [State: India] 356012 Arunachal Pradesh [State: India] 356013 Nagaland [State: India] 356014 Manipur [State: India] 356015 Mizoram [State: India] 356016 Tripura [State: India] 356017 Meghalaya [State: India] 356018 Assam [State: India] 356019 West Bengal [State: India] 356021 Orissa [State: India] 356023 Madhya Pradesh, Chhattisgarh [State: India] 356024 Gujarat [State: India] 356026 Dadra and Nagar Haveli [State: India] 356027 Maharashtra [State: India] 356028 Andhra Pradesh [State: India] 356029 Karnataka [State: India] 356030 Goa, Daman and Diu [State: India] 356031 Lakshadweep [State: India] 356032 Kerala [State: India] 356033 Tamil Nadu [State: India] 356034 Pondicherry [State: India] 356035 Andaman and Nicobar Islands [State: India] 356097 Abroad [State: India] 356098 Unknown [State: India] 356099 NIU (not in universe) [State: India] 360011 Nanggroe Aceh Darussalam [Province: Indonesia] 360012 Sumatera Utara [Province: Indonesia] 360013 Sumatera Barat [Province: Indonesia] 360014 Kepulauan Riau, Riau [Province: Indonesia] 360015 Jambi [Province: Indonesia] 360016 Bangka Belitung, Sumatera Selatan [Province: Indonesia] 360017 Bengkulu [Province: Indonesia] 360018 Lampung [Province: Indonesia] 360031 DKI Jakarta [Province: Indonesia] 360032 Banten, Jawa Barat [Province: Indonesia] 360033 Jawa Tengah [Province: Indonesia] 360034 DKI Yogyakarta [Province: Indonesia] 360035 Jawa Timur [Province: Indonesia] 360051 Bali [Province: Indonesia] 360052 Nusa Tenggara Barat [Province: Indonesia] 360053 Nusa Tenggara Timur [Province: Indonesia] 360061 Kalimantan Barat [Province: Indonesia] 360062 Kalimantan Tengah [Province: Indonesia] 360063 Kalimantan Selatan [Province: Indonesia] 360064 Kalimantan Timur [Province: Indonesia] 360071 Gorontalo, Sulawesi Utara [Province: Indonesia] 360072 Sulawesi Tengah [Province: Indonesia] 360073 Sulawesi Barat, Sulawesi Selatan [Province: Indonesia] 360074 Sulawesi Tenggara [Province: Indonesia] 360081 Maluku, Maluku Utara [Province: Indonesia] 360094 Papua, Papua Barat [Province: Indonesia] 360097 Abroad [Province: Indonesia] 360098 Unknown [Province: Indonesia] 360099 NIU (not in universe) [Province: Indonesia] 360626 East Timor [Province: Indonesia] 364000 Markazi [Province: Iran] 364001 Gilan [Province: Iran] 364002 Mazandaran [Province: Iran] 364003 East Azarbayejan [Province: Iran] 364004 West Azarbayejan [Province: Iran] 364005 Kermanshah [Province: Iran] 364006 Khuzestan [Province: Iran] 364007 Fars [Province: Iran] 364008 Kerman [Province: Iran] 364009 Razavi Khorasan [Province: Iran] 364010 Esfahan [Province: Iran] 364011 Sistan and Baluchestan [Province: Iran] 364012 Kordestan [Province: Iran] 364013 Hamedan [Province: Iran] 364014 Chaharmahal and Bakhtiyari [Province: Iran] 364015 Lorestan [Province: Iran] 364016 Ilam [Province: Iran] 364017 Kohgiluyeh and Boyerahmad [Province: Iran] 364018 Bushehr [Province: Iran] 364019 Zanjan [Province: Iran] 364020 Semnan [Province: Iran] 364021 Yazd [Province: Iran] 364022 Hormozgan [Province: Iran] 364023 Tehran, Alborz [Province: Iran] 364024 Ardebil [Province: Iran] 364025 Qom [Province: Iran] 364026 Qazvin [Province: Iran] 364027 Golestan [Province: Iran] 364028 North Khorasan [Province: Iran] 364029 South Khorasan [Province: Iran] 364098 Unknown [Province: Iran] 364099 NIU (not in universe) [Province: Iran] 368000 Always lived in residential place of birth [Governorate: Iraq] 368001 In this governorate [Governorate: Iraq] 368011 Dahuk [Governorate: Iraq] 368012 Nineveh [Governorate: Iraq] 368013 Sulaymaniyah [Governorate: Iraq] 368014 Al-Tameem [Governorate: Iraq] 368015 Erbil [Governorate: Iraq] 368021 Diala [Governorate: Iraq] 368022 Al-Anbar [Governorate: Iraq] 368023 Baghdad [Governorate: Iraq] 368024 Babylon [Governorate: Iraq] 368025 Kerbela [Governorate: Iraq] 368026 Wasit [Governorate: Iraq] 368027 Salah Al-Deen [Governorate: Iraq] 368028 Al-Najaf [Governorate: Iraq] 368031 Al-Qadisiya [Governorate: Iraq] 368032 Al-Muthanna [Governorate: Iraq] 368033 Thi-Qar [Governorate: Iraq] 368034 Maysan [Governorate: Iraq] 368035 Al-Basrah [Governorate: Iraq] 368097 Other countries [Governorate: Iraq] 368098 Unknown [Governorate: Iraq] 388001 Kingston [Parish: Jamaica] 388002 Saint Andrew [Parish: Jamaica] 388003 Saint Thomas [Parish: Jamaica] 388004 Portland [Parish: Jamaica] 388005 Saint Mary [Parish: Jamaica] 388006 Saint Ann [Parish: Jamaica] 388007 Trelawny [Parish: Jamaica] 388008 Saint James [Parish: Jamaica] 388009 Hanover [Parish: Jamaica] 388010 Westmoreland [Parish: Jamaica] 388011 Saint Elizabeth [Parish: Jamaica] 388012 Manchester [Parish: Jamaica] 388013 Clarendon [Parish: Jamaica] 388014 Saint Catherine [Parish: Jamaica] 388098 Unknown [Parish: Jamaica] 388099 NIU (Not in universe) [Parish: Jamaica] 400011 Amman [Governorate: Jordan] 400012 Balqa [Governorate: Jordan] 400013 Zarqa [Governorate: Jordan] 400014 Madaba [Governorate: Jordan] 400021 Irbid [Governorate: Jordan] 400022 Mafraq [Governorate: Jordan] 400023 Jarash [Governorate: Jordan] 400024 Ajlun [Governorate: Jordan] 400031 Karak [Governorate: Jordan] 400032 Tafilah [Governorate: Jordan] 400033 Ma'an [Governorate: Jordan] 400034 Aqaba [Governorate: Jordan] 400997 Foreign Country [Governorate: Jordan] 400998 Unknown [Governorate: Jordan] 404001 Nairobi [Province: Kenya] 404002 Central [Province: Kenya] 404003 Coast [Province: Kenya] 404004 Eastern [Province: Kenya] 404005 Northeastern [Province: Kenya] 404006 Nyanza [Province: Kenya] 404007 Rift Valley [Province: Kenya] 404008 Western [Province: Kenya] 404097 Abroad [Province: Kenya] 404098 Unknown [Province: Kenya] 404099 NIU (not in universe) [Province: Kenya] 417001 Bishkek [Region: Kyrgyz Republic] 417002 Issyk-Kul region [Region: Kyrgyz Republic] 417003 Dzhalal-Abad region [Region: Kyrgyz Republic] 417004 Naryn region [Region: Kyrgyz Republic] 417005 Batken region [Region: Kyrgyz Republic] 417006 Oshskaya region, City of Osh [Region: Kyrgyz Republic] 417007 Talasskaya region [Region: Kyrgyz Republic] 417008 Chuya region [Region: Kyrgyz Republic] 417096 Other Kyrgyz Republic, not specified [Region: Kyrgyz Republic] 417097 Foreign country [Region: Kyrgyz Republic] 417098 Unknown [Region: Kyrgyz Republic] 417099 NIU (not in universe) [Region: Kyrgyz Republic] 418001 Vientiane Capital [Province: Laos] 418002 Phongsaly [Province: Laos] 418003 Luangnamtha [Province: Laos] 418004 Oudomxay [Province: Laos] 418005 Bokeo [Province: Laos] 418006 Luangprabang [Province: Laos] 418007 Huaphanh [Province: Laos] 418008 Xayaboury [Province: Laos] 418009 Xienkhuang [Province: Laos] 418010 Vientiane Province [Province: Laos] 418011 Borikhamxay [Province: Laos] 418012 Khammuane [Province: Laos] 418013 Savanakhet [Province: Laos] 418014 Saravane [Province: Laos] 418015 Sekong [Province: Laos] 418016 Champasack [Province: Laos] 418017 Attapeu [Province: Laos] 418018 Xaysomboune [Province: Laos] 418097 Foreign Country [Province: Laos] 418098 Unknown [Province: Laos] 418099 NIU [Province: Laos] 662003 Castries city, Castries rural, Castries suburban [District: Saint Lucia] 662009 Choiseul, Laborie, Vieux-Fort [District: Saint Lucia] 662010 Anse-la-Raye, Canaries, Micoud, Soufriere [District: Saint Lucia] 662012 Dennery, Gros-Islet [District: Saint Lucia] 662098 Unknown [District: Saint Lucia] 662099 NIU [District: Saint Lucia] 454101 Chitipa [District: Malawi] 454102 Karonga [District: Malawi] 454103 Nkhata Bay, Likoma [District: Malawi] 454104 Rumphi [District: Malawi] 454105 Mzimba, Mzuzu City [District: Malawi] 454201 Kasungu [District: Malawi] 454202 Nkhotakota [District: Malawi] 454203 Ntchisi [District: Malawi] 454204 Dowa [District: Malawi] 454205 Salima [District: Malawi] 454206 Lilongwe, Lilongwe City [District: Malawi] 454207 Mchinji [District: Malawi] 454208 Dedza [District: Malawi] 454209 Ntcheu [District: Malawi] 454301 Mangochi [District: Malawi] 454302 Machinga [District: Malawi] 454303 Zomba, Zomba City [District: Malawi] 454304 Chiradzulu [District: Malawi] 454305 Blantyre, Blantyre City [District: Malawi] 454306 Mwanza, Neno [District: Malawi] 454307 Thyolo [District: Malawi] 454308 Mulanje [District: Malawi] 454309 Phalombe [District: Malawi] 454310 Chikwawa [District: Malawi] 454311 Nsanje [District: Malawi] 454312 Balaka [District: Malawi] 454997 Abroad [District: Malawi] 454999 NIU (not in universe) [District: Malawi] 466001 Kayes [Region: Mali] 466002 Koulikoro [Region: Mali] 466003 Sikasso [Region: Mali] 466004 Ségou [Region: Mali] 466005 Mopti [Region: Mali] 466006 Tombouctou [Region: Mali] 466007 Gao, Kidal [Region: Mali] 466009 Bamako [Region: Mali] 466096 Mali, province unspecified [Region: Mali] 466097 Foreign country [Region: Mali] 466098 Unknown [Region: Mali] 466999 NIU (not in universe) [Region: Mali] 484001 Aguascalientes [State: Mexico] 484002 Baja California [State: Mexico] 484003 Baja California Sur [State: Mexico] 484004 Campeche [State: Mexico] 484005 Coahuila de Zaragoza [State: Mexico] 484006 Colima [State: Mexico] 484007 Chiapas [State: Mexico] 484008 Chihuahua [State: Mexico] 484009 Distrito Federal [State: Mexico] 484010 Durango [State: Mexico] 484011 Guanajuato [State: Mexico] 484012 Guerrero [State: Mexico] 484013 Hidalgo [State: Mexico] 484014 Jalisco [State: Mexico] 484015 México [State: Mexico] 484016 Michoacán de Ocampo [State: Mexico] 484017 Morelos [State: Mexico] 484018 Nayarit [State: Mexico] 484019 Nuevo León [State: Mexico] 484020 Oaxaca [State: Mexico] 484021 Puebla [State: Mexico] 484022 Querétaro [State: Mexico] 484023 Quintana Roo [State: Mexico] 484024 San Luis Potosí [State: Mexico] 484025 Sinaloa [State: Mexico] 484026 Sonora [State: Mexico] 484027 Tabasco [State: Mexico] 484028 Tamaulipas [State: Mexico] 484029 Tlaxcala [State: Mexico] 484030 Veracruz de Ignacio de la Llave [State: Mexico] 484031 Yucatán [State: Mexico] 484032 Zacatecas [State: Mexico] 484097 Abroad [State: Mexico] 484098 Unknown [State: Mexico] 484099 NIU (not in universe) [State: Mexico] 496011 Ulaanbaatar [Province: Mongolia] 496021 Dornod [Province: Mongolia] 496022 Sukhbaatar [Province: Mongolia] 496023 Khentii [Province: Mongolia] 496041 Tuv [Province: Mongolia] 496043 Selenge [Province: Mongolia] 496044 Dornogobi [Province: Mongolia] 496045 Darkhan-Uul [Province: Mongolia] 496046 Umnugobi [Province: Mongolia] 496048 Dundgobi, Gobisumber [Province: Mongolia] 496061 Orkhon [Province: Mongolia] 496062 Uvurkhangai [Province: Mongolia] 496063 Bulgan [Province: Mongolia] 496064 Bayankhongor [Province: Mongolia] 496065 Arkhangai [Province: Mongolia] 496067 Khuvsgul [Province: Mongolia] 496081 Zavkhan [Province: Mongolia] 496082 Gobi-Altai [Province: Mongolia] 496083 Bayan-Ulgii [Province: Mongolia] 496084 Khovd [Province: Mongolia] 496085 Uvs [Province: Mongolia] 496097 Abroad [Province: Mongolia] 496099 NIU (not in universe) [Province: Mongolia] 104001 Kachin [State: Myanmar] 104002 Kayah [State: Myanmar] 104003 Kayin [State: Myanmar] 104004 Chin [State: Myanmar] 104005 Sagaing [State: Myanmar] 104006 Tanintharyi [State: Myanmar] 104007 Bago [State: Myanmar] 104008 Magway [State: Myanmar] 104009 Mandalay [State: Myanmar] 104010 Mon [State: Myanmar] 104011 Rakhine [State: Myanmar] 104012 Yangon [State: Myanmar] 104013 Shan [State: Myanmar] 104014 Ayeyawady [State: Myanmar] 104015 Nay Pyi Taw [State: Myanmar] 104097 Abroad [State: Myanmar] 104099 NIU [State: Myanmar] 591002 Coclé [Province: Panama] 591003 Colón, Comarca Kuna Yala (San Blas) [Province: Panama] 591004 Bocas de Toro, Chiriquí, Comarca Ngäbe Buglé, Veraguas [Province: Panama] 591005 Comarca Emberá, Darién [Province: Panama] 591006 Herrera [Province: Panama] 591007 Los Santos [Province: Panama] 591008 Panamá [Province: Panama] 591009 Unknown district in Panamá province [Province: Panama] 591097 Foreign country [Province: Panama] 591098 Unknown [Province: Panama] 591099 NIU (not in universe) [Province: Panama] 608001 Abra [Province: Philippines] 608002 Agusan del norte [Province: Philippines] 608003 Agusan del sur [Province: Philippines] 608004 Aklan [Province: Philippines] 608005 Albay [Province: Philippines] 608006 Antique [Province: Philippines] 608007 Basilan, City Of Isabela [Province: Philippines] 608008 Bataan [Province: Philippines] 608010 Batangas [Province: Philippines] 608011 Benguet [Province: Philippines] 608012 Bohol [Province: Philippines] 608013 Bukidnon [Province: Philippines] 608014 Bulacan [Province: Philippines] 608015 Cagayan, Batanes [Province: Philippines] 608016 Camarines norte [Province: Philippines] 608017 Camarines Sur [Province: Philippines] 608018 Camiguin [Province: Philippines] 608019 Capiz [Province: Philippines] 608020 Catanduanes [Province: Philippines] 608021 Cavite [Province: Philippines] 608022 Cebu [Province: Philippines] 608023 Davao (Davao del Norte) [Province: Philippines] 608024 Davao del Sur, Davao Occidental [Province: Philippines] 608025 Davao Oriental [Province: Philippines] 608026 Eastern Samar [Province: Philippines] 608027 Ifugao [Province: Philippines] 608028 Ilocos Norte [Province: Philippines] 608029 Ilocos Sur [Province: Philippines] 608030 Iloilo, Guimaras [Province: Philippines] 608031 Isabela [Province: Philippines] 608032 Kalinga-Apayao, Apayo, Kalinga [Province: Philippines] 608033 La Union [Province: Philippines] 608034 Laguna [Province: Philippines] 608035 Lanao del Norte [Province: Philippines] 608036 Lanao del Sur, Maguindanao, Marawi City and Cotabato city [Province: Philippines] 608037 Leyte, Biliran [Province: Philippines] 608039 Manila [Province: Philippines] 608040 Marinduque [Province: Philippines] 608041 Masbate [Province: Philippines] 608042 Misamis Occidental [Province: Philippines] 608043 Misamis Oriental [Province: Philippines] 608044 Mountain Province [Province: Philippines] 608045 Negros Occidental [Province: Philippines] 608046 Negros Oriental [Province: Philippines] 608047 Cotabato (North Cotabato) [Province: Philippines] 608048 Northern Samar [Province: Philippines] 608049 Nueva Ecija [Province: Philippines] 608050 Nueva Vizcaya [Province: Philippines] 608051 Occidental Mindoro [Province: Philippines] 608052 Oriental Mindoro [Province: Philippines] 608053 Palawan [Province: Philippines] 608054 Pampanga [Province: Philippines] 608055 Pangasinan [Province: Philippines] 608056 Quezon [Province: Philippines] 608057 Quirino [Province: Philippines] 608058 Rizal [Province: Philippines] 608059 Romblon [Province: Philippines] 608060 Samar (Western Samar) [Province: Philippines] 608061 Siquijor [Province: Philippines] 608062 Sorsogon [Province: Philippines] 608063 South Cotabato, Sarangani [Province: Philippines] 608064 Southern Leyte [Province: Philippines] 608065 Sultan Kudarat [Province: Philippines] 608066 Sulu [Province: Philippines] 608067 Surigao Del Norte, Dinagat islands [Province: Philippines] 608068 Surigao del Sur [Province: Philippines] 608069 Tarlac [Province: Philippines] 608070 Tawi-Tawi [Province: Philippines] 608071 Zambales [Province: Philippines] 608072 Zamboanga Norte [Province: Philippines] 608073 Zamboanga del Sur, Zamboanga Sibugay [Province: Philippines] 608074 Manila Metro, 2nd District [Province: Philippines] 608075 Manila Metro, 3rd District [Province: Philippines] 608076 Manila Metro, 4th District [Province: Philippines] 608077 Aurora [Province: Philippines] 608097 Foreign country [Province: Philippines] 608098 Unknown [Province: Philippines] 608099 NIU (not in universe) [Province: Philippines] 642001 Alba [County: Romania] 642002 Arad [County: Romania] 642003 Arges [County: Romania] 642004 Bacau [County: Romania] 642005 Bihor [County: Romania] 642006 Bistrita Nasaud [County: Romania] 642007 Botosani [County: Romania] 642008 Brasov [County: Romania] 642009 Braila [County: Romania] 642010 Buzau [County: Romania] 642011 Caras Severin [County: Romania] 642012 Cluj [County: Romania] 642013 Constanta [County: Romania] 642014 Covasna [County: Romania] 642015 Dambovita [County: Romania] 642016 Dolj [County: Romania] 642017 Galati [County: Romania] 642018 Gorj [County: Romania] 642019 Harghita [County: Romania] 642020 Hunedoara [County: Romania] 642022 Iasi [County: Romania] 642024 Maramures [County: Romania] 642025 Mehedinti [County: Romania] 642026 Mures [County: Romania] 642027 Neamt [County: Romania] 642028 Olt [County: Romania] 642029 Prahova [County: Romania] 642030 Satu Mare [County: Romania] 642031 Salaj [County: Romania] 642032 Sibiu [County: Romania] 642033 Suceava [County: Romania] 642034 Teleorman [County: Romania] 642035 Timis [County: Romania] 642036 Tulcea [County: Romania] 642037 Vaslui [County: Romania] 642038 Valcea [County: Romania] 642039 Vrancea [County: Romania] 642043 Bucharest Sector 1 to 6 [County: Romania] 642051 Calarasi, Giurgiu, Ialomita, Ilfov [County: Romania] 642097 Foreign country [County: Romania] 642098 Unknown [County: Romania] 642099 NIU (not in universe) [County: Romania] 646002 Byumba, Kigali Ngali, Kigali Ville, Kibungo, Umutara [Province: Rwanda] 646003 Gitarama [Province: Rwanda] 646004 Butare [Province: Rwanda] 646005 Gikongoro [Province: Rwanda] 646006 Cyangugu [Province: Rwanda] 646007 Kibuye [Province: Rwanda] 646008 Gisenyi [Province: Rwanda] 646009 Ruhengeri [Province: Rwanda] 646097 Foreign Countries [Province: Rwanda] 646098 Unknown [Province: Rwanda] 646099 NIU [Province: Rwanda] 705001 Pomurska [Region: Slovenia] 705002 Podravska [Region: Slovenia] 705003 Koroška [Region: Slovenia] 705004 Savinjska [Region: Slovenia] 705005 Zasavska [Region: Slovenia] 705006 Spodnjeposavska [Region: Slovenia] 705007 Jugovzhodna Slovenija [Region: Slovenia] 705008 Osrednjeslovenska [Region: Slovenia] 705009 Gorenjska [Region: Slovenia] 705010 Notranjsko-kraška [Region: Slovenia] 705011 Goriška [Region: Slovenia] 705012 Obalno-kraška [Region: Slovenia] 705097 Abroad [Region: Slovenia] 705999 NIU (not in universe) [Region: Slovenia] 710001 Western Cape [Province: South Africa] 710004 Free State [Province: South Africa] 710005 Eastern Cape, KwaZulu-Natal [Province: South Africa] 710007 Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa] 710097 Foreign country [Province: South Africa] 710098 Unknown [Province: South Africa] 710099 NIU (not in universe) [Province: South Africa] 724011 Galicia [Communities & autonomous city: Spain] 724012 Principado de Asturias [Communities & autonomous city: Spain] 724013 Cantabria [Communities & autonomous city: Spain] 724021 País Vasco [Communities & autonomous city: Spain] 724022 Comunidad Foral de Navarra [Communities & autonomous city: Spain] 724023 La Rioja [Communities & autonomous city: Spain] 724024 Aragón [Communities & autonomous city: Spain] 724030 Comunidad de Madrid [Communities & autonomous city: Spain] 724041 Castilla y León [Communities & autonomous city: Spain] 724042 Castilla-La Mancha [Communities & autonomous city: Spain] 724043 Extremadura [Communities & autonomous city: Spain] 724051 Cataluña [Communities & autonomous city: Spain] 724052 Comunidad Valenciana [Communities & autonomous city: Spain] 724053 Islas Baleares [Communities & autonomous city: Spain] 724061 Andalucía [Communities & autonomous city: Spain] 724062 Región de Murcia [Communities & autonomous city: Spain] 724063 Ciudad Autónoma de Ceuta [Communities & autonomous city: Spain] 724064 Ciudad Autónoma de Melilla [Communities & autonomous city: Spain] 724070 Canarias [Communities & autonomous city: Spain] 724097 Abroad [Communities & autonomous city: Spain] 724999 NIU (not in universe) [Communities & autonomous city: Spain] 740001 Paramaribo [District: Suriname] 740002 Wanica [District: Suriname] 740003 Nickerie [District: Suriname] 740005 Saramacca, Coronie [District: Suriname] 740006 Marowijne, Commewijne [District: Suriname] 740008 Brokopondo, Para [District: Suriname] 740010 Sipaliwini [District: Suriname] 740096 Suriname, district unknown [District: Suriname] 740097 Foreign [District: Suriname] 740098 Unknown [District: Suriname] 764010 Bangkok [Province: Thailand] 764011 Samut Prakan [Province: Thailand] 764012 Nonthaburi [Province: Thailand] 764013 Pathum Thani [Province: Thailand] 764014 Phra Nakhon Si Ayutthaya [Province: Thailand] 764015 Ang Thong [Province: Thailand] 764016 Lop Buri [Province: Thailand] 764017 Sing Buri [Province: Thailand] 764018 Chai Nat [Province: Thailand] 764019 Sa Kaeo, Prachin Buri [Province: Thailand] 764020 Chon Buri [Province: Thailand] 764021 Rayong [Province: Thailand] 764022 Chanthaburi [Province: Thailand] 764023 Trat [Province: Thailand] 764024 Chachoengsao [Province: Thailand] 764026 Nakhon Nayok [Province: Thailand] 764027 Saraburi [Province: Thailand] 764030 Nakhon Ratchasima [Province: Thailand] 764031 Buri Ram [Province: Thailand] 764032 Surin [Province: Thailand] 764033 Si Sa Ket [Province: Thailand] 764034 Ubon Ratchathani, Yasothon, Amnat Charoen [Province: Thailand] 764036 Chaiyaphum [Province: Thailand] 764039 Nong Bua Lam Phu, Udon Thani [Province: Thailand] 764040 Khon Kaen [Province: Thailand] 764042 Loei [Province: Thailand] 764043 Nong Khai [Province: Thailand] 764044 Maha Sarakham [Province: Thailand] 764045 Roi Et [Province: Thailand] 764046 Kalasin [Province: Thailand] 764047 Sakon Nakhon [Province: Thailand] 764048 Nakhon Phanom, Mukdahan [Province: Thailand] 764050 Chiang Mai [Province: Thailand] 764051 Lamphun [Province: Thailand] 764052 Lampang [Province: Thailand] 764053 Uttaradit [Province: Thailand] 764054 Phrae [Province: Thailand] 764055 Nan [Province: Thailand] 764057 Phayao, Chiang Rai [Province: Thailand] 764058 Mae Hong Son [Province: Thailand] 764060 Nakhon Sawan [Province: Thailand] 764061 Uthai Thani [Province: Thailand] 764062 Kamphaeng Phet [Province: Thailand] 764063 Tak [Province: Thailand] 764064 Sukhothai [Province: Thailand] 764065 Phitsanulok [Province: Thailand] 764066 Phichit [Province: Thailand] 764067 Phetchabun [Province: Thailand] 764070 Ratchaburi [Province: Thailand] 764071 Kanchanaburi [Province: Thailand] 764072 Suphanburi [Province: Thailand] 764073 Nakhon Pathom [Province: Thailand] 764074 Samut Sakhon [Province: Thailand] 764075 Samut Songkhram [Province: Thailand] 764076 Phetchaburi [Province: Thailand] 764077 Prachuap Khiri Khan [Province: Thailand] 764080 Nakhon Si Thammarat [Province: Thailand] 764082 Phangnga [Province: Thailand] 764083 Phuket [Province: Thailand] 764084 Krabi, Surat Thani [Province: Thailand] 764086 Ranong, Chumphon [Province: Thailand] 764090 Songkhla [Province: Thailand] 764091 Satun [Province: Thailand] 764092 Trang [Province: Thailand] 764093 Phatthalung [Province: Thailand] 764094 Pattani [Province: Thailand] 764095 Yala [Province: Thailand] 764096 Narathiwat [Province: Thailand] 764097 Same province [Province: Thailand] 764098 Unknown province, but within Thaliand [Province: Thailand] 764997 Abroad [Province: Thailand] 764998 Unknown [Province: Thailand] 764999 NIU (not in universe) [Province: Thailand] 768001 Maritime, Lomé [Region: Togo] 768002 Plateaux, Centrale, Kara [Region: Togo] 768003 Savanes [Region: Togo] 768097 Foreign Country [Region: Togo] 768098 Unknown [Region: Togo] 768099 NIU [Region: Togo] 780010 Port of Spain [Region: Trinidad and Tobago] 780020 San Fernando [Region: Trinidad and Tobago] 780080 Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin, Caroni, St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago] Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin, Caroni, St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago] 780094 St. Paul, St. Mary, St. David, St. George, St. Patrick, St. Andrew, St. John, Tobago [Region: Trinidad and Tobago] 780098 Unknown [Region: Trinidad and Tobago] 800101 Kalangala [District: Uganda] 800102 Kampala [District: Uganda] 800103 Kiboga, Kyankwanzi [District: Uganda] 800104 Luwero, Nakasongola, Nakaseke [District: Uganda] 800105 Masaka, Ssembabule, Bukomansimbi, Kalungu, Lwengo [District: Uganda] 800106 Mpigi, Wakiso, Butambala, Gomba [District: Uganda] 800107 Mubende, Mityana [District: Uganda] 800108 Mukono, Kayunga, Buikwe, Buvuma [District: Uganda] 800110 Rakai, Lyantonde [District: Uganda] 800201 Bugiri, Iganga, Mayuge, Namutumba, Luuka, Namayingo [District: Uganda] 800202 Busia, Tororo, Butaleja [District: Uganda] 800204 Jinja [District: Uganda] 800205 Kamuli, Kaliro, Buyende [District: Uganda] 800206 Kapchorwa, Bukwo, Kween [District: Uganda] 800207 Katakwi, Soroti, Kaberamaido, Amuria, Serere [District: Uganda] 800208 Kumi, Bukedea, Ngora [District: Uganda] 800209 Mbale, Sironko, Bududa, Manafwa, Bulambuli [District: Uganda] 800210 Pallisa, Budaka, Kibuku [District: Uganda] 800301 Adjumani, Moyo [District: Uganda] 800302 Apac, Oyam, Kole [District: Uganda] 800303 Arua, Yumbe, Koboko, Maracha [District: Uganda] 800304 Gulu, Amuru, Nwoya, Omoro [District: Uganda] 800305 Kitgum, Pader, Agago, Lamwo [District: Uganda] 800306 Kotido, Moroto, Nakapiripirit, Abim, Kaabong, Amudat, Napak [District: Uganda] 800307 Lira, Amolatar, Dokolo, Alebtong, Otuke [District: Uganda] 800310 Nebbi, Zombo [District: Uganda] 800401 Bundibugyo, Ntoroko [District: Uganda] 800402 Bushenyi, Mbarara, Ntungamo, Ibanda, Isingiro, Kiruhura, Buhweju, Mitooma, Rubirizi, Sheema [District: Uganda] 800403 Hoima [District: Uganda] 800404 Kabale, Rubanda [District: Uganda] 800405 Kabarole, Kamwenge, Kyenjojo, Kyegegwa [District: Uganda] 800406 Kasese [District: Uganda] 800407 Kibaale, Kagadi, Kakumiro [District: Uganda] 800408 Kisoro [District: Uganda] 800409 Masindi, Buliisa, Kiryandongo [District: Uganda] 800412 Rukungiri, Kanungu [District: Uganda] 800096 Visitor [District: Uganda] 800097 Foreign country [District: Uganda] 800098 Unknown [District: Uganda] 804001 The Autonomous Republic of Crimea [Region: Ukraine] 804005 Vinnytska oblast [Region: Ukraine] 804007 Volynska oblast [Region: Ukraine] 804012 Dnipropetrovska oblast [Region: Ukraine] 804014 Donetska oblast [Region: Ukraine] 804018 Zhytomyrska oblast [Region: Ukraine] 804021 Zakarpatska oblast [Region: Ukraine] 804023 Zaporizka oblast [Region: Ukraine] 804026 Ivano-Frankivska oblast [Region: Ukraine] 804032 Kyivska oblast [Region: Ukraine] 804035 Kirovohradska oblast [Region: Ukraine] 804044 Luhanska oblast [Region: Ukraine] 804046 Lvivska oblast [Region: Ukraine] 804048 Mykolaivska oblast [Region: Ukraine] 804051 Odeska oblast [Region: Ukraine] 804053 Poltavska oblast [Region: Ukraine] 804056 Rivnenska oblast [Region: Ukraine] 804059 Sumska oblast [Region: Ukraine] 804061 Ternopilska oblast [Region: Ukraine] 804063 Kharkivska oblast [Region: Ukraine] 804065 Khersonska oblast [Region: Ukraine] 804068 Khmelnytska oblast [Region: Ukraine] 804071 Cherkaska oblast [Region: Ukraine] 804073 Chernivetska oblast [Region: Ukraine] 804074 Chernihivska oblast [Region: Ukraine] 804080 Kyiv (independent city) [Region: Ukraine] 804085 Sevastopol (independent city) [Region: Ukraine] 804097 Foreign country [Region: Ukraine] 804098 Unknown [Region: Ukraine] 804099 NIU (not in universe) [Region: Ukraine] 858001 Montevideo [Department: Uruguay] 858002 Artigas [Department: Uruguay] 858003 Canelones [Department: Uruguay] 858004 Cerro Largo [Department: Uruguay] 858005 Colonia [Department: Uruguay] 858006 Durazno [Department: Uruguay] 858007 Flores [Department: Uruguay] 858008 Florida [Department: Uruguay] 858009 Lavalleja [Department: Uruguay] 858010 Maldonado [Department: Uruguay] 858011 Paysandú [Department: Uruguay] 858012 Río Negro [Department: Uruguay] 858013 Rivera [Department: Uruguay] 858014 Rocha [Department: Uruguay] 858015 Salto [Department: Uruguay] 858016 San Jose [Department: Uruguay] 858017 Soriano [Department: Uruguay] 858018 Tacuarembó [Department: Uruguay] 858019 Treinta Y Tres [Department: Uruguay] 858097 Abroad [Department: Uruguay] 858098 Unknown [Department: Uruguay] 858999 NIU (not in universe) [Department: Uruguay] 862001 Federal District, Vargas [State: Venezuela] 862002 Amazonas Federal Territory [State: Venezuela] 862003 Anzoátegui [State: Venezuela] 862004 Apure [State: Venezuela] 862005 Aragua [State: Venezuela] 862007 Bolívar [State: Venezuela] 862008 Carabobo [State: Venezuela] 862009 Cojedes [State: Venezuela] 862010 Amacuros Delta Federal Territory [State: Venezuela] 862011 Falcón [State: Venezuela] 862012 Guárico [State: Venezuela] 862013 Lara [State: Venezuela] 862014 Barinas, Mérida [State: Venezuela] 862015 Miranda [State: Venezuela] 862016 Monagas [State: Venezuela] 862017 Nueva Esparta, Federal Dependencies [State: Venezuela] 862018 Portuguesa [State: Venezuela] 862019 Sucre [State: Venezuela] 862020 Táchira [State: Venezuela] 862021 Trujillo [State: Venezuela] 862022 Yaracuy [State: Venezuela] 862023 Zulia [State: Venezuela] 862097 Foreign country [State: Venezuela] 862098 Unknown [State: Venezuela] 862099 NIU (not in universe) [State: Venezuela] Migration: Global Variables -- PERSON Years residing in current locality MIGYRS1 indicates how many years the person has resided in their current locality of residence. 00 Less than 1 year 01 1 year (or 1 year or less) 02 2 years 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95+ years 96 Less than 5 years 97 More than 5 years 98 Unknown 99 NIU (not in universe) Migration: Global Variables -- PERSON Province of previous residence, Panama; consistent boundaries, GIS MIG1_P_PA indicates the person's province of previous residence in Panama. Click on the Source Variables tab for information on place of residence for each sample year. Source variables may contain more geographic unit detail but are not suitable for cross-temporal comparison. 591002 Coclé 591003 Colón, Comarca Kuna Yala (San Blas) 591004 Bocas de Toro, Chiriquí, Comarca Ngäbe Buglé, Veraguas 591005 Comarca Emberá, Darién 591006 Herrera 591007 Los Santos 591008 Panamá 591009 Unknown district in Panamá province 591097 Foreign country 591098 Unknown 591099 NIU (not in universe) Migration: O-Z Variables -- PERSON District of previous residence, Panama; consistent boundaries, GIS MIG2_P_PA indicates the person's district of previous residence within Panama. Migration district codes from MIG2_P_PA are compatible with codes from GEO2_PA. Click on the Source Variables tab for information on place of residence for each sample year. Source variables may contain more geographic unit detail but are not suitable for cross-temporal comparison. 591002001 Natá, Penonomé 591002002 Antón 591002003 Aguadulce 591002004 La Pintada, Olá 591002099 Coclé province, unknown district 591003001 Colón, Portobelo, Santa Isabel 591003002 Chagres, Donoso 591003003 Comarca Kuna Yala 591003099 Colón and Comarca Kuna Yala provinces, unknown district 591004001 Bocas del Toro, Changuinola, Kusapín, Santa Fé 591004002 David 591004003 Atalaya, Santiago 591004004 Bugaba 591004005 Barú, Renacimiento 591004006 Ñürüm, Cañazas, La Mesa, Las Palmas 591004007 Remedios, San Félix, Besiko, Nole Duima 591004008 Tolé, Müna 591004009 Río de Jesús, Soná, Mariato, Montijo 591004010 Chiriquí Grande, Kankintú 591004011 Gualaca, San Lorenzo, Besiko 591004012 Alanje, Boquerón 591004013 Dolega 591004014 Boquete 591004015 Calobre, San Francisco 591004099 Bocas de Toro, Chiriquí, Comarca Ngäbe Buglé, and Veraguas provinces, unknown district 591005001 Chepigana, Pinogana, Cémaco, Sambú 591005099 Comarca Emberá and Darién provinces, unknown district 591006001 Chitré 591006002 Las Minas, Los Pozos, Ocú 591006003 Parita, Pesé, Santa María 591006099 Herrera province, unknown district 591007001 Guararé, Las Tablas 591007002 Macaracas, Pedasí, Pocrí, Tonosí 591007003 Los Santos 591007099 Los Santos province, unknown province 591008001 Panamá, San Miguelito 591008002 Arraiján, Taboga 591008003 La Chorrera 591008004 Capira, San Carlos 591008005 Balboa, Chepo, Chimán 591008006 Chame 591008099 Panamá province, unknown province 591096096 Indigenous Dwelling 591097097 Abroad 591098098 Unknown Migration: O-Z Variables -- PERSON Person number (within household) Panama 1960: All records 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 Technical Person Variables -- PERSON Relationship to the head <svar v="PA60A401" a="all">2. Relationship to the head of the family:<br /><div class="i1">Mark the box corresponding to the relationship of the person to the head.<br /><br />1st Person 1<br />[] Head<br /><br />2nd Person<br />[] 2 Spouse or partner<br />[] 3 Son<br />[] 4 Other relatives<br />[] 5 Other</div><br /></svar> <svar v="PA60A401 PA60A402 PA60A403 PA60A404 PA60A405 PA60A406 PA60A407 PA60A408 PA60A409 PA60A410 PA60A411 PA60A412">(Applicable to persons of all ages)<br />(Questions 1-10)<br /></svar></p> <p><svar v="PA60A401" a="all"><span class="h3">Question 2 Relationship to the head of family.</span><br /><br />Mark the corresponding box in agreement with the relationship or relation with the Head.<br /></svar> Panama 1960: All persons This variable indicates the relationship to the head. 1 Head 2 Head, spouse present 3 Spouse 4 Child 5 Other relatives 6 Others 7 Individual in collective 9 Unknown Demographic Variables -- PERSON Sex <svar v="PA60A402" a="all">3. Sex:<br /><div class="i1">Mark the appropriate box.<br /><br />[] 1 Male<br />[] 2 Female</div><br /></svar> <svar v="PA60A401 PA60A402 PA60A403 PA60A404 PA60A405 PA60A406 PA60A407 PA60A408 PA60A409 PA60A410 PA60A411 PA60A412">(Applicable to persons of all ages)<br />(Questions 1-10)<br /></svar></p> <p><svar v="PA60A402" a="all"><span class="h3">Question 3 Sex:</span><br /><br />Mark the corresponding box according to whether the person is male or female. Do not use the name to deduce the sex of the person because there are names common to both sexes like Concepción, Rosario, Gertrudis, Rosa, Carmen, etc.<br /></svar> Panama 1960: All persons This variable indicates the sex. 1 Male 2 Female Demographic Variables -- PERSON Age estimated <svar v=" PA60A403 PA60A404 PA60A405" a="all">4. Age in years completed:<br /><div class="i1">Write the age completed at last birthday. If under 1 year write the date of birth: (day, month and year)<br /><br />____</div><br /></svar> <svar v="PA60A401 PA60A402 PA60A403 PA60A404 PA60A405 PA60A406 PA60A407 PA60A408 PA60A409 PA60A410 PA60A411 PA60A412">(Applicable to persons of all ages)<br />(Questions 1-10)<br /></svar></p> <p><svar v="PA60A403 PA60A404 PA60A405" a="all"><span class="h3">Question 4 Age in complete years</span><br /><br />Write down the person's age in completed years, that is to say, the age at the last birthday. For children less than one year old, write down the birthday. Example: January 10, 1960. <br /><br /><span class="pg">[p. 35]</span><br /><br />Some persons have the tendency to reduce or increase their age or round their age to numbers ending in 0 or 5. Example: They say they are 50 when they are actually 49, or that they are 55 when they are actually 56. If any doubt about answering the question is observed, try to obtain the exact age.<br />If the person does not know the current age as happens to older persons who live in the country, estimate the age and write it down followed by the letter E. For example: 54-E, 60-E. In these cases the estimation can be more closely approximated if the likely date of birth is associated with a local, national or international event of great effect on the public. For example: The age of our Independence from Columbia (1903), when World War One began (1914), the year in which Doctor Porras became president for the first time (1912), the time of the earthquakes (1913); etc.<br />If it is not possible to estimate the age after having made an effort, write "unknown".<br /></svar> Panama 1960: All persons This variable indicates whether the age of the person was declared or estimated. 1 Age declared 2 Age estimated Demographic Variables -- PERSON Age <svar v=" PA60A403 PA60A404 PA60A405" a="all">4. Age in years completed:<br /><div class="i1">Write the age completed at last birthday. If under 1 year write the date of birth: (day, month and year)<br /><br />____</div><br /></svar> <svar v="PA60A401 PA60A402 PA60A403 PA60A404 PA60A405 PA60A406 PA60A407 PA60A408 PA60A409 PA60A410 PA60A411 PA60A412">(Applicable to persons of all ages)<br />(Questions 1-10)<br /></svar></p> <p><svar v="PA60A403 PA60A404 PA60A405" a="all"><span class="h3">Question 4 Age in complete years</span><br /><br />Write down the person's age in completed years, that is to say, the age at the last birthday. For children less than one year old, write down the birthday. Example: January 10, 1960. <br /><br /><span class="pg">[p. 35]</span><br /><br />Some persons have the tendency to reduce or increase their age or round their age to numbers ending in 0 or 5. Example: They say they are 50 when they are actually 49, or that they are 55 when they are actually 56. If any doubt about answering the question is observed, try to obtain the exact age.<br />If the person does not know the current age as happens to older persons who live in the country, estimate the age and write it down followed by the letter E. For example: 54-E, 60-E. In these cases the estimation can be more closely approximated if the likely date of birth is associated with a local, national or international event of great effect on the public. For example: The age of our Independence from Columbia (1903), when World War One began (1914), the year in which Doctor Porras became president for the first time (1912), the time of the earthquakes (1913); etc.<br />If it is not possible to estimate the age after having made an effort, write "unknown".<br /></svar> Panama 1960: All persons This variable indicates the age of the person. 00 Under 1 year 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 98 98 99 99+ Demographic Variables -- PERSON Age in months <svar v=" PA60A403 PA60A404 PA60A405" a="all">4. Age in years completed:<br /><div class="i1">Write the age completed at last birthday. If under 1 year write the date of birth: (day, month and year)<br /><br />____</div><br /></svar> <svar v="PA60A401 PA60A402 PA60A403 PA60A404 PA60A405 PA60A406 PA60A407 PA60A408 PA60A409 PA60A410 PA60A411 PA60A412">(Applicable to persons of all ages)<br />(Questions 1-10)<br /></svar></p> <p><svar v="PA60A403 PA60A404 PA60A405" a="all"><span class="h3">Question 4 Age in complete years</span><br /><br />Write down the person's age in completed years, that is to say, the age at the last birthday. For children less than one year old, write down the birthday. Example: January 10, 1960. <br /><br /><span class="pg">[p. 35]</span><br /><br />Some persons have the tendency to reduce or increase their age or round their age to numbers ending in 0 or 5. Example: They say they are 50 when they are actually 49, or that they are 55 when they are actually 56. If any doubt about answering the question is observed, try to obtain the exact age.<br />If the person does not know the current age as happens to older persons who live in the country, estimate the age and write it down followed by the letter E. For example: 54-E, 60-E. In these cases the estimation can be more closely approximated if the likely date of birth is associated with a local, national or international event of great effect on the public. For example: The age of our Independence from Columbia (1903), when World War One began (1914), the year in which Doctor Porras became president for the first time (1912), the time of the earthquakes (1913); etc.<br />If it is not possible to estimate the age after having made an effort, write "unknown".<br /></svar> Panama 1960: Persons under one year old [discrepancies: none] This variable indicates the age in months for those who less than one year old. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 99 NIU (not in universe) Demographic Variables -- PERSON Marital status <svar v="PA60A406" a="all">5. Marital status:<br /><div class="i1">Mark the appropriate box: <span class="em">Consensual union</span>: lives in a marital union without being married. <span class="em">Single</span>: has never been married and does not live in a marital union. <span class="em">Married</span>: has contracted matrimony, whether living with the spouse or not. <span class="em">Widowed</span>: has neither remarried nor lives in a marital union. <span class="em">Divorced</span>: legally separated.<br /><br />[] 1 Consensual union<br />[] 2 Single<br />[] 3 Married<br />[] 4 Widowed<br />[] 5 Divorced</div><br /></svar> <svar v="PA60A401 PA60A402 PA60A403 PA60A404 PA60A405 PA60A406 PA60A407 PA60A408 PA60A409 PA60A410 PA60A411 PA60A412">(Applicable to persons of all ages)<br />(Questions 1-10)<br /></svar></p> <p><svar v="PA60A406" a="all"><span class="h3">Question 5 Marital status:</span><br /><br />Mark the corresponding box applying the following definitions:<br /><div class="i1"><span class="em">In Union</span>: A person who lives in marital union without being married, that is to say, is not legally married, by Law or by the Church.<br /><span class="em">Single</span>: A person who has never been married nor lives in marital [consensual] union, that is to say, has no spouse or companion.</div><br /><br />[The instructions refer to a graphic of question 5 of the census form.]<br /><br /><span class="pg">[p. 36]</span><br /><br /><div class="i1"><span class="em">Married</span>: A person who is legally married whether or not the spouse lives with the person.<br /><span class="em">Widowed</span>: A person who has not married again and is not consensually united.<br /><span class="em">Divorced</span>: A person who is legally separated and is not consensually united.</div><br /></svar> Panama 1960: Persons not in indigenous groups [discrepancies: none] This variable indicates the marital status of the person. 1 Consensual union 2 Single 3 Married 4 Widowed 5 Divorced 6 Dropped in 8 Unknown 9 NIU (not in universe) Demographic Variables -- PERSON District or country of birth <svar v="PA60A407" a="all">6. Where were you born?<br /><div class="i1">Write the name of the district of birth. If born in the Panama Canal Zone, write "Canal Zone". If born abroad, write the name of the country of birth.<br /><br />____</div><br /></svar> <svar v="PA60A401 PA60A402 PA60A403 PA60A404 PA60A405 PA60A406 PA60A407 PA60A408 PA60A409 PA60A410 PA60A411 PA60A412">(Applicable to persons of all ages)<br />(Questions 1-10)<br /></svar></p> <p><svar v="PA60A407" a="all"><span class="h3">Question 6 Where were you born?</span><br /><br />For persons born within the territory of the Republic, write the name of the district and the locality where the person to be enumerated was born. Example: San Félix, Macaracas, Cañazas. For this Census, La Comarca de San Blas is considered a district. <br /><br />The alphabetic list of the districts that form the Republic has been included as an annex so that one can verify if the name that the person to be enumerated has given really corresponds to one of those districts.<br /><br />If the person to be enumerated was born in the Panama Canal Zone, write "Canal Zone".<br /><br />If the person to be enumerated was born outside of the Republic, write the name of the country of birth. <br /><br />In the case of persons born in colonies or territories of foreign countries, write the names of those countries. Example: Jamaica, Curazao, The Virgin Islands, Martinique, etc.<br /></svar> Panama 1960: All persons This variable indicates the district or country of birth. 100 Bastimentos 101 Bocas del toro 102 Chiriqui grande 103 Not specified district in Bocas del Toro 200 Aguadulce 201 Anton 202 Nata 203 Ola 204 Penonome 205 La Pintada 206 Not specified district in Cocle 300 Colon 301 Chagres 302 Donoso 303 Portobelo 304 Santa Isabel 305 Comarca de San Blas 306 Not specified district in Colon 400 Alanje 401 Baru 402 Boqueron 403 Boquete 404 Bugaba 405 David 406 Dolega 407 Gualaca 408 Remedios 409 San Felix 410 San Lorenzo 411 Tole 500 Chepigana 501 Pinogana 502 Not secified district in Darien 600 Chitre 601 Las Minas 602 Ocu 603 Parita 604 Pese 605 Los Pozos 606 Santa Maria 700 Guarare 701 Macaracas 702 Pedasi 703 Pocri 704 Los Santos 705 Las Tablas 706 Tonosi 800 Arraijan 801 Balboa 802 Capira 803 Chame 804 Chepo 805 Chiman 806 La Chorrera 807 Panama 808 San Carlos 809 Taboga 871 Not specified district in Panam 900 Atalaya 901 Calobra 902 CANAZAS 903 La Mesa 904 Montijo 905 Las Palmas 906 Rio de Jesus 907 San Francisco 908 Santa Fe 909 Santiago 910 Sona 911 Not specified district Veraguas 920 Costa Rica 921 Guatemala 922 Honduras 923 Belize 924 Nicaragua 926 El Salvador 927 Canal 928 Bahamas 929 Barbados 971 Canada 972 USA 973 Mexico 974 Foreign countries not specified 998 Undocumented Nativity and Birthplace Variables -- PERSON Duration of residence <svar v="PA60A408" a="all">7. Since when have you lived in this city, town or hamlet?<br /><div class="i1">Write the year. If the person has always lived here or is in transit mark the appropriate box and do not ask question number 8.<br /><br />[] X Always<br />[] Y In transit<br />Since ____ (year)</div><br /></svar> <svar v="PA60A401 PA60A402 PA60A403 PA60A404 PA60A405 PA60A406 PA60A407 PA60A408 PA60A409 PA60A410 PA60A411 PA60A412">(Applicable to persons of all ages)<br />(Questions 1-10)<br /></svar></p> <p><svar v="PA60A408" a="all"><span class="h3">Question 7 Since when have you lived in this city, town or hamlet?</span><br /><br />Mark this box (Always []X) if the enumerated person has lived in the city, town or hamlet where he/she is being enumerated all his/her life. Mark this box (In transit []Y) when the person does not reside in the place or is in transit through it. In this box also, mark students who only live in the place where they are being enumerated during the period of classes. In both cases, skip question 8.<br />If the person lived before in another city, town or hamlet, write down in the corresponding space (Since ____ year) the year in which the person moved to the city, town or hamlet where the person currently resides. Example: 1939. If the person does not remember the year well, try to find it out through some references: (the age of the person; marriage dates, when the first child was born, etc.).<br /></svar> Panama 1960: Persons in private dwellings [discrepancies: none] This variable indicates the duration of residence. 00 1900 or earlier 01 1901 02 1902 03 1903 04 1904 05 1905 06 1906 07 1907 08 1908 09 1909 10 1910 11 1911 12 1912 13 1913 14 1914 15 1915 16 1916 17 1917 18 1918 19 1919 20 1920 21 1921 22 1922 23 1923 24 1924 25 1925 26 1926 27 1927 28 1928 29 1929 30 1930 31 1931 32 1932 33 1933 34 1934 35 1935 36 1936 37 1937 38 1938 39 1939 40 1940 41 1941 42 1942 43 1943 44 1944 45 1945 46 1946 47 1947 48 1948 49 1949 50 1950 51 1951 52 1952 53 1953 54 1954 55 1955 56 1956 57 1957 58 Two years 59 One year 60 Less than one year 65 Always 68 Transient 98 Unknown 99 NIU (not in universe) Migration: Global Variables -- PERSON Province of previous residence <svar v="PA60A409 PA60A434" a="all">8. Where in the country did you live before settling here?<br /><div class="i1">Write the name of the city, town or hamlet and the district to which it belongs. If in the Panama Canal Zone, write "Canal Zone". If directly from abroad, write the name of the country of origin.<br /><br />Place ________<br />District ________</div><br /></svar> <svar v="PA60A401 PA60A402 PA60A403 PA60A404 PA60A405 PA60A406 PA60A407 PA60A408 PA60A409 PA60A410 PA60A411 PA60A412">(Applicable to persons of all ages)<br />(Questions 1-10)<br /></svar></p> <p><svar v="PA60A409" a="all"><span class="h3">Question 8 Where in the country did you live before settling here?</span><br /><br />Write in the corresponding space the name of the pertaining city, town or hamlet and its district. If the person lived in the Panama Canal Zone, write "Canal Zone". If directly from a foreign country, write the country of origin.<br /><br /><span class="pg">[p. 38]</span><br /><br />Draw a diagonal line if the person has "always" lived in or is "in transit" in the locality of the enumeration. <br /></svar> Panama 1960: Migrants [discrepancies: none] This variable indicates the person's province of previous residence. 01 Bocas del Toro 02 Coclé 03 Colón 04 Chiriquí 05 Darién 06 Herrera 07 Los Santos 08 Panamá 09 Veraguas 90 Foreign countries 98 Unknown 99 NIU (not in universe) Migration: Global Variables -- PERSON District of previous residence <svar v="PA60A409 PA60A434" a="all">8. Where in the country did you live before settling here?<br /><div class="i1">Write the name of the city, town or hamlet and the district to which it belongs. If in the Panama Canal Zone, write "Canal Zone". If directly from abroad, write the name of the country of origin.<br /><br />Place ________<br />District ________</div><br /></svar> <svar v="PA60A401 PA60A402 PA60A403 PA60A404 PA60A405 PA60A406 PA60A407 PA60A408 PA60A409 PA60A410 PA60A411 PA60A412">(Applicable to persons of all ages)<br />(Questions 1-10)<br /></svar></p> <p><svar v="PA60A409" a="all"><span class="h3">Question 8 Where in the country did you live before settling here?</span><br /><br />Write in the corresponding space the name of the pertaining city, town or hamlet and its district. If the person lived in the Panama Canal Zone, write "Canal Zone". If directly from a foreign country, write the country of origin.<br /><br /><span class="pg">[p. 38]</span><br /><br />Draw a diagonal line if the person has "always" lived in or is "in transit" in the locality of the enumeration. <br /></svar> Panama 1960: Migrants [discrepancies: none] This variable indicates the district of previous residence. 0100 Bastimentos 0101 Bocas del toro 0102 Chiriqui grande 0200 Aguadulce 0201 Anton 0202 Nata 0203 Ola 0204 Penonome 0205 La Pintada 0300 Colon 0301 Chagres 0302 Donoso 0303 Portobelo 0304 Santa Isabel 0305 Comarca de San Blas 0399 Not specified district in Colon 0400 Alanje 0401 Baru 0402 Boqueron 0403 Boquete 0404 Bugaba 0405 David 0406 Dolega 0407 Gualaca 0408 Remedios 0409 San Felix 0410 Tole 0411 San Lorenzo 0500 Chepigana 0501 Pinogana 0599 Not specified district in Darien 0600 Chitre 0601 Las Minas 0602 Ocu 0603 Parita 0604 Pese 0605 Los Pozos 0606 Santa Maria 0700 Guarare 0701 Macaracas 0702 Pedasi 0703 Pocri 0704 Los Santos 0705 Las Tablas 0706 Tonosi 0800 Arraijan 0801 Balboa 0802 Capira 0803 Chame 0804 Chepo 0805 Chiman 0806 La Chorrera 0807 Panama 0808 San Carlos 0809 Taboga 0900 Atalaya 0901 Calobra 0902 Canazas 0903 La Mesa 0904 Montijo 0905 Las Palmas 0906 Rio de Jesus 0907 San Francisco 0908 Santa Fe 0909 Santiago 0910 Sona 0999 Not specified district in Veraguas 9900 Foreign countries 9998 Unknown 9999 NIU (not in universe) Migration: Global Variables -- PERSON Nationality <svar v="PA60A410" a="all">9. Nationality.<br /><div class="i1">If born abroad write the nationality declared by the respondent. If born in the Republic of Panama mark a diagonal line.<br /><br />____</div><br /></svar> <svar v="PA60A401 PA60A402 PA60A403 PA60A404 PA60A405 PA60A406 PA60A407 PA60A408 PA60A409 PA60A410 PA60A411 PA60A412">(Applicable to persons of all ages)<br />(Questions 1-10)<br /></svar></p> <p><svar v="PA60A410" a="all"><span class="h3">Question 9 Nationality:</span><br /><br />For every person born outside of the Republic, write the nationality that the informant declares. Example: Italian, English, North American [i.e., a citizen of the USA], etc. Keep in mind that persons born abroad can have Panamanian nationality.<br /></svar> Panama 1960: Persons born abroad [discrepanices: type I 2.2%; type II none] This variable indicates the contry of birth place. 91 Canada 92 USA 93 Mexico 94 Costa Rica 97 Not specified 98 Unknown 99 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Last month of social security payment <svar v="PA60A411 PA60A412" a="all">10. Social Security:<br /><div class="i1">If at any time you have made a Social Security payment, write the month and year of the last payment.<br /><br />Month ____<br />Year ____</div><br /></svar> <svar v="PA60A401 PA60A402 PA60A403 PA60A404 PA60A405 PA60A406 PA60A407 PA60A408 PA60A409 PA60A410 PA60A411 PA60A412">(Applicable to persons of all ages)<br />(Questions 1-10)<br /></svar></p> <p><svar v="PA60A411 PA60A412" a="all"><span class="h3">Question 10 Social Security:</span><br /><br />For those who have paid or have had Social Security fees deducted, write down the last month and year in which the deduction was made. If the person never has made a Social Security payment, draw a diagonal line.<br /></svar> Panama 1960: Persons who received social security payment [discrepanices: not verifiable] This variable indicates the last month of social security payment. 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 99 NIU and unknown Other Person Variables -- PERSON Last year of social security payment <svar v="PA60A411 PA60A412" a="all">10. Social Security:<br /><div class="i1">If at any time you have made a Social Security payment, write the month and year of the last payment.<br /><br />Month ____<br />Year ____</div><br /></svar> <svar v="PA60A401 PA60A402 PA60A403 PA60A404 PA60A405 PA60A406 PA60A407 PA60A408 PA60A409 PA60A410 PA60A411 PA60A412">(Applicable to persons of all ages)<br />(Questions 1-10)<br /></svar></p> <p><svar v="PA60A411 PA60A412" a="all"><span class="h3">Question 10 Social Security:</span><br /><br />For those who have paid or have had Social Security fees deducted, write down the last month and year in which the deduction was made. If the person never has made a Social Security payment, draw a diagonal line.<br /></svar> Panama 1960: Persons who received social security payment [discrepanices: not verifiable] This variable indicates the last year of social security payment. 31 1931 38 1938 41 1941 42 1942 43 1943 44 1944 45 1945 46 1946 47 1947 48 1948 49 1949 50 1950 51 1951 52 1952 53 1953 54 1954 55 1955 56 1956 57 1957 58 1958 59 1959 60 1960 99 NIU and unknown Other Person Variables -- PERSON Educational level attained <svar v="PA60A413 PA60A414 PA60A415">Only for persons 7 years of age and older<br />[Questions 11-13 were asked only of persons aged 7 and older.]<br /></svar></p> <p><svar v="PA60A413" a="all">11. What is the highest grade or year of schooling completed?<br /><div class="i1">Write the number [of the grade or year] in the line corresponding to the class of schooling. If no grade was completed mark the box 04.<br /><br />[] 1 Primary ____<br />[] 2 Secondary ____<br />[] 3 University ____<br />[] 4 No grade</div><br /></svar> (Only for persons 7 years old or more)</p> <p><svar v="PA60A413" a="all"><span class="h3">Question 11 What is the highest grade or year of schooling completed?</span><br /><br />Write down the grade as a number in the line that corresponds to the level of schooling. For example, if the person says <span class="pg">[p. 39]</span> that fifth grade in primary school was passed, the annotation will be in the following form: Primary 1 ___5. If the third year of secondary school was passed, it will be written down: Secondary 2 ___3.<br /><br />[The instructions refer to a graphic of question 11 of the census form.]<br /><br />Do not use roman numerals. Keep in mind that the highest grade or year completely passed is being sought and consequently half years and grades that have not been finished or completely passed will not be written down. <br />If the person has received instruction abroad or in schools in the Panama Canal Zone, write down with the closest approximation the equivalent grade in the regular system of education of this country. For example: The 8th grade in schools in the Panama Canal Zone is equal to the 2nd year of secondary education in Panama.<br />If the person did not pass any grade or year, mark X in box 4.<br />Keep in mind that the grade or year refers only to that which was passed within the three levels of regular education (primary, secondary and university) that is given in public or private schools (See Annex 2 which refers to the schools of regular secondary education). <br />Therefore, special studies or vocations that do not require passing from a first cycle such as sewing schools, business schools, cooking schools, confectionary schools, secretary schools, telegraph schools and other such schools including correspondence schools will not be considered courses of regular education. If the person claims to have taken one of these classes of special studies, insist on obtaining the information that refers to the last grade or school year passed in <span class="em">schools of regular education</span>.<br /></svar> Panama 1960: Person age 7+ not in indigenous groups [discrepancies: type I 5.9%; type II none] This variable indicates the educational level attained. 01 No grade attained 11 Year 1 - primary 12 Year 2 - primary 13 Year 3 - primary 14 Year 4 - primary 15 Year 5 - primary 16 Year 6 - primary 21 Year 1 - secondary 22 Year 2 - secondary 23 Year 3 - secondary 24 Year 4 - secondary 25 Year 5 - secondary 26 Year 6 - secondary 31 Year 1 - universtiy 32 Year 2 - university 33 Year 3 - university 34 Year 4 - university 35 Year 5 - university 36 Year 6 - university 37 Year 7 - university 38 Year 8 - university 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Current school attendance <svar v="PA60A413 PA60A414 PA60A415">Only for persons 7 years of age and older<br />[Questions 11-13 were asked only of persons aged 7 and older.]<br /></svar></p> <p><svar v="PA60A414" a="all">12. Are you currently attending school?<br /><div class="i1">If attending primary, secondary or university, write the grade or year in the corresponding blank. If attending another type of school, mark the box 04. If not attending school, write the box 05.<br /><br />[] 1 Primary ____<br />[] 2 Secondary ____<br />[] 3 University ____<br />[] 4 Other type of school<br />[] 5 Not currently attending</div><br /></svar> (Only for persons 7 years old or more)</p> <p><svar v="PA60A414" a="all"><span class="h3">Question 12 Are you currently attending school?</span><br /><br />If the person is attending, write down as a number on the line corresponding to the class being attended, the grade or school year that the person is attending. So for example: if the person is attending the 4th grade of primary school, the annotation will be made in the following form: Primary 1 ____4.<br /><br />[The instructions refer to a graphic of question 12 of the census form. Also to the left of the text is a picture of a classroom with students and a teacher.]<br /><br />Keep in mind that the inquiry regarding school attendance refers to both public and private schools.<br /></svar> Panama 1960: Person age 7+ not in indigenous groups [discrepancies: type I trace; type II none] This variable indicates the level of current school attendance. 00 No schooling 01 Year 1 - primary 02 Year 2 - primary 03 Year 3 - primary 04 Year 4 - primary 05 Year 5 - primary 06 Year 6 - primary 21 Year 1 - secondary 22 Year 2 - secondary 23 Year 3 - secondary 24 Year 4 - secondary 25 Year 5 - secondary 26 Year 6 - secondary 31 Year 1 - universtiy 32 Year 2 - university 33 Year 3 - university 34 Year 4 - university 35 Year 5 - university 36 Year 6 - university 37 Year 7 - university 97 Other type of school 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Literacy <svar v="PA60A413 PA60A414 PA60A415">Only for persons 7 years of age and older<br />[Questions 11-13 were asked only of persons aged 7 and older.]<br /></svar></p> <p><svar v="PA60A415" a="all">13. Do you know how to read and write?<br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> (Only for persons 7 years old or more)</p> <p><svar v="PA60A415" a="all"><span class="h3">Question 13 Do you know how to read and write?</span><br /><br />Mark "X" in the corresponding box. If the person only knows how to read, mark box 2. Also box 2 should be marked if the person only knows how to write numbers or his/her name.<br /></svar> Panama 1960: Person age 7+ [discrepancies: type I 1.7%; type II none] This variable indicates whether the person was literate or not. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Employment status <svar v="PA60A416 PA60A417 PA60A418 PA60A419 PA60A420 PA60A421 PA60A422 PA60A423 PA60A424 PA60A425 PA60A426 PA60A433">Only for those 10 years of age and older.<br />[Questions 14-22 were asked only of persons aged 10 and older.]<br /></svar></p> <p><svar v="PA60A416" a="all">14. General classification:<br /><div class="i1">Mark only one box as appropriate. Working: has a job or is employed. Looking for work: does not have work and is looking for work. Housewife: she who dedicates her time exclusively to the care of her home. Other: when none of the pervious terms applies to the person being enumerated (student, retired, etc.).<br /><br />[] 1 Working<br />[] 2 Looking for work<br />[] 3 Homemaker [housewife]<br />[] 4 Other</div><br /></svar> <svar v="PA60A416" a="all"><span class="h3">Question 14 General classification:</span><br /><br />Mark box 1:<br /><div class="i1">a) If the person has an occupation or a job remunerated in money or in kind the day of the Census.<br />b) If the person regularly works in a business or enterprise that belongs to a family member, even while not drawing a paycheck or salary (contributing family worker).<br />c) If the person has a steady remunerated occupation, does not work the day of the Census because of a transitory circumstance: due to a sickness or accident; because of a work conflict; from a temporary interruption of the job because of bad weather or a machine breakdown; by being on a vacation, justified absence or other absence of leave.</div><br /><br />[The instructions refer to a graphic of box 1 of question 14 of the census form.]<br /><br />Mark box 2:<br /><div class="i1">a) If the person does not have an occupation or job on the day of the Census and is looking for work.<br />b.) If the person is not looking for work because a job has been found that will begin on a previously appointed date.</div><br /><br />[The instructions refer to a graphic of box 2 of question 14 of the census form.]<br /><br /><span class="pg">[p.42]</span><br /><br />Mark box 3:<br />If the person is exclusively dedicated to the care of his/her own home and receives no retirement or pension and is not a renter.<br /><br />[The instructions refer to a graphic of box 3 of question 14 of the census form.]<br /><br />Mark box 4:<br />When the enumerated person is not classified in any of the 3 categories listed above. For example: student, minor, retired, pensioned, rentier, a person interned in institutions, etc.<br /></svar> Panama 1960: Person age 10+ not in indigenous groups [discrepancies: none] This variable indicates the employment status. 1 Works 2 Looking for work 3 Homemaker 4 Other 5 New employee 6 Student 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Worked all of the 1960 <svar v="PA60A416 PA60A417 PA60A418 PA60A419 PA60A420 PA60A421 PA60A422 PA60A423 PA60A424 PA60A425 PA60A426 PA60A433">Only for those 10 years of age and older.<br />[Questions 14-22 were asked only of persons aged 10 and older.]<br /></svar></p> <p><svar v="PA60A417" a="all">15. For one who is working: Did you work during all of 1960? Mark the appropriate box.<br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v="PA60A417" a="all"><span class="h3">Question 15 For one who is working: Did you worked all of the 1960?</span><br /><br />Mark box 01 if the person has worked all of 1960. The information should refer to the occupation that the person had the day of the Census, if it was the same job all of 1960 or if there were different jobs, always worked in succession, that is to say, without having an extended period of unemployment.<br />Mark box 02 if the person only has worked part of the year either continuously or in occasional or seasonal jobs. <br /></svar> Panama 1960: Employed non-indigenous persons age 10+ [discrepancies: none] This variable indicates whether the person worked during all of the 1960. 1 Worked entire year 2 Worked part of the year 9 NIU (not in universe) Work Variables -- PERSON Duration of unemployment <svar v="PA60A416 PA60A417 PA60A418 PA60A419 PA60A420 PA60A421 PA60A422 PA60A423 PA60A424 PA60A425 PA60A426 PA60A433">Only for those 10 years of age and older.<br />[Questions 14-22 were asked only of persons aged 10 and older.]<br /></svar></p> <p><svar v="PA60A418" a="all">16. For one who is looking for work:<br /><div class="i1">If this person worked before write the number of months out of work. If this person has never worked before mark a diagonal line.<br /><br />Months ____</div><br /></svar> <svar v="PA60A418" a="all"><span class="h3">Question 16 For one who is looking for work:</span><br /><br />Write down in the corresponding space the total number of months that the person was without a job and looking for employment, starting with the date in which unemployment began the last time. If the person never has worked and is looking for a first job, draw a diagonal line.<br /></svar> Panama 1960: Unemployed non-indigenous persons age 10+ [discrepancies: none] This variable indicates the duration of unemployment for those who were currently looking for a job. 00 Less than one month 01 One month 02 Two months 03 Three months 04 Four months 05 Five months 06 Six months 07 Seven months 08 Eight months 09 Nine months 10 Ten months 11 Eleven months 12 One year 13 Two years 14 Three years 15 Four years 16 Five years 17 Six years 18 Seven years 19 Eight years 20 Nine or more years 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Occupation (2-digit) <svar v="PA60A416 PA60A417 PA60A418 PA60A419 PA60A420 PA60A421 PA60A422 PA60A423 PA60A424 PA60A425 PA60A426 PA60A433">Only for those 10 years of age and older.<br />[Questions 14-22 were asked only of persons aged 10 and older.]<br /></svar></p> <p><svar v="PA60A419 PA60A420 PA60A433" a="all">17. Occupation:<br /><div class="i1">For a person who is working write the occupation, position, job or class of work. For someone who has worked before and is seeking work, write the last occupation had.<br /><br />____</div><br /></svar> <svar v="PA60A419 PA60A420" a="all"><span class="h3">Question 17 Occupation:</span><br /><br /><span class="em">For the person who is working</span>, write the profession, craft, trade or kind of job on the day of the Census.<br /><span class="em">For the person who is not working, but worked before</span> and is looking for employment, write the last occupation or class of job that was worked.<br />The occupation should be written down in a precise form using its specific designations, example: automobile mechanic, agronomist-engineer, secretary-stenographer, movie theater operator, fruit vender, doctor-surgeon, industrial chemist, travel agent, sales manager, financial administrator, car washer, patio cleaner, hardware seller, etc. Do not use, therefore, vague or generic terms like mechanic, engineer, worker, operator, vender, industrialist, agent, etc.<br />For the person who works in agriculture or with livestock, write the specific job that is done, like for example: harvester of coffee, milkier, agricultural laborer, vaccinator, blacksmith, foreman, agricultural producer [farmer] (who works <span class="pg">[p. 44]</span> exclusively, alone or with the help of others in agriculture or cattle farming), etc. In the majority of the cases of the professional activities, the occupation corresponds to the profession of the enumerated person. Nevertheless, persons with professional specialization work jobs of a different nature than their specialization, in which case the occupation that they have at the date of the Census will be written down. If a doctor does not execute his profession and instead works as a professor, "professor" should be written down.<br />For the employees of the National or Municipal Government who are responsible for legislative, executive, administrative or managerial functions, write the position for which they have been elected or named. Example: Deputy, Governor, Mayor, Minister of State, Head of Department, Head of Section, Treasurer, Port Inspector, General Comptroller, Education Inspector, Director of Primary School, Captain of the National Guard, etc.<br />For the other employees of the government get, when possible, the specific occupation. Example: Architect, Engineer, Agronomist, Pharmacist, Veterinarian, Zoologist, Doctor, Surgeon, Dentist, Nurse, Midwife, Professor, School Teacher, Lawyer, Municipal Judge, Circuit District Attorney, Municipal Representative, Clerk, Typist, Auditor, Accountant, Draftsman, Cashier, Archivist, Telegraphist, Chauffeur, Tractor Driver, Stoker/Fireman, Bricklayer, Carpenter, Painter, Electrician, Agricultural Laborer, Day Laborer, Wholesaler, Cook, National Guardsman, etc.<br />For Government employees, whose specific occupation is difficult to determine, write: Public Employee.<br /></svar> Panama 1960: Non-indigenous person age 10+ in the labor force [discrepancies: type I 0.7%; type II none] This variable indicates the person's occupation (2-digit). 00 Professionals 01 Managers 02 Office workers 03 Sales 04 Agriculture, ranching or fishing 05 Mining and quarrying 06 Transportation drivers 07 Craftsmen and machinists 08 Other craftsmen and operatives 09 Manual laborers and day laborers 10 Personal services 11 Other workers NPC 99 NIU (not in universe) Work: Occupation Variables -- PERSON Occupation (4-digit) <svar v="PA60A416 PA60A417 PA60A418 PA60A419 PA60A420 PA60A421 PA60A422 PA60A423 PA60A424 PA60A425 PA60A426 PA60A433">Only for those 10 years of age and older.<br />[Questions 14-22 were asked only of persons aged 10 and older.]<br /></svar></p> <p><svar v="PA60A419 PA60A420 PA60A433" a="all">17. Occupation:<br /><div class="i1">For a person who is working write the occupation, position, job or class of work. For someone who has worked before and is seeking work, write the last occupation had.<br /><br />____</div><br /></svar> <svar v="PA60A419 PA60A420" a="all"><span class="h3">Question 17 Occupation:</span><br /><br /><span class="em">For the person who is working</span>, write the profession, craft, trade or kind of job on the day of the Census.<br /><span class="em">For the person who is not working, but worked before</span> and is looking for employment, write the last occupation or class of job that was worked.<br />The occupation should be written down in a precise form using its specific designations, example: automobile mechanic, agronomist-engineer, secretary-stenographer, movie theater operator, fruit vender, doctor-surgeon, industrial chemist, travel agent, sales manager, financial administrator, car washer, patio cleaner, hardware seller, etc. Do not use, therefore, vague or generic terms like mechanic, engineer, worker, operator, vender, industrialist, agent, etc.<br />For the person who works in agriculture or with livestock, write the specific job that is done, like for example: harvester of coffee, milkier, agricultural laborer, vaccinator, blacksmith, foreman, agricultural producer [farmer] (who works <span class="pg">[p. 44]</span> exclusively, alone or with the help of others in agriculture or cattle farming), etc. In the majority of the cases of the professional activities, the occupation corresponds to the profession of the enumerated person. Nevertheless, persons with professional specialization work jobs of a different nature than their specialization, in which case the occupation that they have at the date of the Census will be written down. If a doctor does not execute his profession and instead works as a professor, "professor" should be written down.<br />For the employees of the National or Municipal Government who are responsible for legislative, executive, administrative or managerial functions, write the position for which they have been elected or named. Example: Deputy, Governor, Mayor, Minister of State, Head of Department, Head of Section, Treasurer, Port Inspector, General Comptroller, Education Inspector, Director of Primary School, Captain of the National Guard, etc.<br />For the other employees of the government get, when possible, the specific occupation. Example: Architect, Engineer, Agronomist, Pharmacist, Veterinarian, Zoologist, Doctor, Surgeon, Dentist, Nurse, Midwife, Professor, School Teacher, Lawyer, Municipal Judge, Circuit District Attorney, Municipal Representative, Clerk, Typist, Auditor, Accountant, Draftsman, Cashier, Archivist, Telegraphist, Chauffeur, Tractor Driver, Stoker/Fireman, Bricklayer, Carpenter, Painter, Electrician, Agricultural Laborer, Day Laborer, Wholesaler, Cook, National Guardsman, etc.<br />For Government employees, whose specific occupation is difficult to determine, write: Public Employee.<br /></svar> Panama 1960: Non-indigenous person age 10+ in the labor force [discrepancies: type I 0.7%; type II none] This variable indicates the person's occupation (4-digit). 0000 Architects, engineers, and persons in related ocupations 0001 Chemists, pharmacists, and persons in related occupations 0002 Agronomists, veterinarians, and persons in related occupations 0003 Physicians, surgeons, and dentists 0004 Paramedics and persons in related occupations 0005 Nurses and midwives 0006 Teachers and professors 0007 People specialized in Mathematical, Social, and related sciences 0008 Attorneys, judges, and persons in related occupations 0009 Artists, writers, entertainers and persons in related occupations 0010 Clergy and pesrons in occupations related to social well-being 0011 Persons in occupations related to professional and technical occupations 0100 Managerial occupations in public administration 0101 Managerial occupations in wholsesale and retail trade 0102 Other director, managerial, and ownership occupations 0104 Undocumented 0200 Auditors and accountants 0201 Bookkeepers, cashiers, collectors and persons in related occupations 0202 Typists and shorthand typists 0203 Other office equipment operators 0204 Inspectors and agents in transportation and related establishments 0205 Mailpeople and messengers 0206 Telephone, telegraph and other telecomunications operators 0207 Other clerical employees and persons in occupations related to transportation and communications services 0208 Other clerical employees and persons in related occupations 0300 Vendor-owners in wholesale and retail trade 0301 Store salesclerks and peddlers 0302 Wholesale vendors and commercial agents and factory representatives 0303 Other vendors and persons in related occupations 0400 Farmers, ranchers, and administrators of agricultural operations 0401 Agricultural and gardening workers 0402 Fisherpeople and persons in related occupations 0403 Hunters and persons in related occupations 0404 Timberpeople, rubber workers, and persons in related occupations 0501 Workers in quarries and other non-metallic mines 0502 Workers in petroleum wells and people in related occupations 0600 Drivers, coach people, cart drivers, and other vehicle drivers 0601 Locomotive engineers and strokers 0602 Persons in charge of operating water transportation equipment 0603 Pilots, flight engineers, and air navegators 0604 Break people, train signal people, and persons in related occupations 0605 Persons in other occupations related to operation of means of transportation 0700 Spinners, weavers, dyers, and persons in related occupations 0701 Tailors, seamstress, furriers, and persons in occupations related to the making of products with a cloth or fur base 0702 Shoemakers, cobblers, and leather workers, working in the making of leather goods 0703 Carpenters, cabinetmaker, and persons in related occupations 0704 Construction workers, bricklayers, window installer, and workers in related occupations 0705 Painters 0706 Plumbers and plumbing installers 0707 Electricians, electric cable installers, television and radio repairpeople, and persons in related occupations 0708 Mechanics, machinery and vehicle repairpeople, operators of machine-tools, and persons in related occupations 0709 Precision equipment mechanics, watchmakers, jewelry makers, and persons in related occupations 0710 Operators of fixed motors, excavation equipment, lifting equipment, and persons in related occupations 0711 Setters, printers, lithographers, engravers, bookbinders, and persons in related occupations 0800 Melter, laminator, blacksmiths, forgers, and other persons in related occupations 0801 Potters, ceramicist, glass blowers, and other workers in the ceramic, glass, and stone products 0802 Cookers, toasters, grinders, distillers, and other workers in chemical industries 0803 Slaughterman, butchers, bakers, millers, brewers, and persons in related occupations 0804 Cigarrette makers and other workers in the cigarette making industry 0805 Tanners and fur and leather preparation workers 0806 Workers in the making of paper articles 0807 Operators of machinery, electric and transportation equipment, and other metalic products 0809 Operators in production processes and related occupations, n.e.c. 0810 Bottlers, packers, labelers, and other related occupations 0811 Factory operators and persons in related occupations, n.e.c. 0900 Workers and day laborers in the construction industry 0901 Stevedores, loaders, and other day laborers in the transportation industry 0902 Washers, ironers, and dyers in cleaning establishments and related workers 0903 Other workers and day laborers 1000 Workers in protection services 1001 Cooks and other domestic servants in private dwellings 1002 Washers and ironers employed in private dwellings 1003 Washers and ironers independently employed 1004 Waiters/waitresses in restaurants and coffee shops, bartenders, and workers in related occupations 1005 Cooks, waiters/waitreses, lodge managers, and workers in related occupations not employed in private dwellings 1006 Barbers, hairdressers, beauticians, and related workers 1007 Doormen, superintendents, elevator operators, and workers in related occupations 1008 Athletes, sportspeople, and workers in related occupations 1009 Photographers and related workers 1010 Embalmers, directors of funeral homes, and related workers 1011 Other service workers 1100 Undocumented 1101 Persons looking for a job for a first time 1102 Diplomats and members of international organization, n.e.c. 1103 Workers who declared unidentifiable occupations 1104 Persons who did not declare any occupation 9999 NIU (not in universe) Work: Occupation Variables -- PERSON Industry (1 digit) <svar v="PA60A416 PA60A417 PA60A418 PA60A419 PA60A420 PA60A421 PA60A422 PA60A423 PA60A424 PA60A425 PA60A426 PA60A433">Only for those 10 years of age and older.<br />[Questions 14-22 were asked only of persons aged 10 and older.]<br /></svar></p> <p><svar v="PA60A421 PA60A422 PA60A423 PA60A424 PA60A425 PA60A426">[Questions 19-22 were asked only of persons who were employed.]<br /></svar></p> <p><svar v=" PA60A421 PA60A422 PA60A423" a="all">20. What does this business (establishment or company) do?<br /><div class="i1">Write grocery, agricultural plantation, clothing manufacture, bar, sale of food, etc., as the case may be.<br /><br />____</div><br /></svar> <svar v="PA60A421 PA60A422 PA60A423" a="all"><span class="h3">Question 20 What does this business, establishment or company do?</span><br /><br />Write precisely the class of activity which the business, establishment, company, agricultural farm, cattle ranch, or private office whose name is written down in question 19 does. If we use as an example the cases in point "a" of the instructions, for each question the annotations about the class of activity would be in the following form:<br /><div class="i1">a. Name of the Business, establishment/Class of activity that is done company etc.<br />The Arboleda Farm/Agriculture<br />The National Mattress Factory/Manufacture of mattresses<br />El Tamarindo Bar/Bar<br />Central Pharmacy/Sale of medicine<br />Panama America Printers/Printing of newspapers<br />Atlas Gas Station/Sale of gasoline<br />La Suerte Department Store/Sale of clothes and footwear<br />International Hotel/Accommodations<br />Balboa Brewery/Production of beer<br />La Mariposa Grocery Store/Groceries<br />Central Clinic/Medical consulting</div><br /><br /><span class="pg">[p.48]</span><br /><br /><div class="i1"><span class="em">Draw a diagonal line</span> when a response to question 19 is:<br />b) The name of a Department of the Government or of the Municipality or of an Official Institution.<br />c) "Agricultural farm" or "Cattle Ranch".<br />d) "Family house."<br />e) "In his/her own house".<br />f) "In the street".<br />g) "In the sea".<br />h) "Canal Zone".</div><br /></svar> Panama 1960: Non-indigenous persons age 10+ who had employment experience [discrepancies: none] This variable indicates the 1-digit industry in which the person's occupation was exercised. 00 Agriculture, hunting, forestry and fishing 01 Mine and quarry exploitation 02 Manufacturing industries 03 Manufacturing industries 04 Construction 05 Electricity, gas, water and sanitation services 06 Commerce 07 Transportation, storage and communications 08 Services 09 Unspecified activities 99 NIU (not in universe) Work: Industry Variables -- PERSON Industry (2 digit) <svar v="PA60A416 PA60A417 PA60A418 PA60A419 PA60A420 PA60A421 PA60A422 PA60A423 PA60A424 PA60A425 PA60A426 PA60A433">Only for those 10 years of age and older.<br />[Questions 14-22 were asked only of persons aged 10 and older.]<br /></svar></p> <p><svar v="PA60A421 PA60A422 PA60A423 PA60A424 PA60A425 PA60A426">[Questions 19-22 were asked only of persons who were employed.]<br /></svar></p> <p><svar v=" PA60A421 PA60A422 PA60A423" a="all">20. What does this business (establishment or company) do?<br /><div class="i1">Write grocery, agricultural plantation, clothing manufacture, bar, sale of food, etc., as the case may be.<br /><br />____</div><br /></svar> <svar v="PA60A421 PA60A422 PA60A423" a="all"><span class="h3">Question 20 What does this business, establishment or company do?</span><br /><br />Write precisely the class of activity which the business, establishment, company, agricultural farm, cattle ranch, or private office whose name is written down in question 19 does. If we use as an example the cases in point "a" of the instructions, for each question the annotations about the class of activity would be in the following form:<br /><div class="i1">a. Name of the Business, establishment/Class of activity that is done company etc.<br />The Arboleda Farm/Agriculture<br />The National Mattress Factory/Manufacture of mattresses<br />El Tamarindo Bar/Bar<br />Central Pharmacy/Sale of medicine<br />Panama America Printers/Printing of newspapers<br />Atlas Gas Station/Sale of gasoline<br />La Suerte Department Store/Sale of clothes and footwear<br />International Hotel/Accommodations<br />Balboa Brewery/Production of beer<br />La Mariposa Grocery Store/Groceries<br />Central Clinic/Medical consulting</div><br /><br /><span class="pg">[p.48]</span><br /><br /><div class="i1"><span class="em">Draw a diagonal line</span> when a response to question 19 is:<br />b) The name of a Department of the Government or of the Municipality or of an Official Institution.<br />c) "Agricultural farm" or "Cattle Ranch".<br />d) "Family house."<br />e) "In his/her own house".<br />f) "In the street".<br />g) "In the sea".<br />h) "Canal Zone".</div><br /></svar> Panama 1960: Non-indigenous persons age 10+ who had employment experience [discrepancies: none] This variable indicates the 2-digit industry in which the person's occupation was exercised. 00 Agriculture, forestry, hunting and fishing 01 Agriculture 02 Forestry and wood extraction 03 Ordinary hunting, trap hunting and animal repopulation 04 Fishing 05 Not specified in agriculture, forestry, hunting, and fishing 12 Metal mineral extraction 13 Crude petroleum and natural gas 14 Rock, clay and sand extraction 19 Extraction of nonmetallic minerals not classified under other headings 20 Manufacturing industries for food products, except for drinks 21 Drink industry 22 Tobacco industry 23 Textile manufacturing 24 Manufacture of shoes, clothes, and other created articles 25 Wood and cork industries, except for furniture manufacturing 26 Manufacture of furniture and accessories 27 Paper and paper product manufacturing 28 Printing presses, print houses, and related industries 29 Leather and leather and skins products industries, except for shoes and others 30 Manufacture and repair of rubber products 31 Manufacture of chemical substances and products 32 Manufacture of products derived from petroleum and carbon 33 Manufacture of nonmetallic mineral products except for those derived from petroleum and carbon 34 Basic metal industries 35 Manufacture of metal products except for machinery and transportation equipment 36 Not specified in manufacturing 37 Construction and repair of electrical machinery, apparatuses, accessories and articles 38 Construction of transportation material 39 Diverse manufacturing industries 40 Construction 51 Electricity for lights and electrical energy 52 Water supply 61 Wholesale commerce 62 Retail commerce 63 Retail commerce of textiles, clothing, and shoes 64 Retail commerce of furniture and home accessories 65 Other retail commerce 66 Banks, insurances, real estate and other financial establishments 70 Transportation, storage and communications 71 Transports 72 Deposits and storage 73 Communications 81 Governmental services 82 Public services 83 Business services 84 Recreational services 85 Personal services 86 Unspecified activities in services 90 Unspecified activities 95 Panama canal 99 NIU (not in universe) Work: Industry Variables -- PERSON Industry (3 digit) <svar v="PA60A416 PA60A417 PA60A418 PA60A419 PA60A420 PA60A421 PA60A422 PA60A423 PA60A424 PA60A425 PA60A426 PA60A433">Only for those 10 years of age and older.<br />[Questions 14-22 were asked only of persons aged 10 and older.]<br /></svar></p> <p><svar v="PA60A421 PA60A422 PA60A423 PA60A424 PA60A425 PA60A426">[Questions 19-22 were asked only of persons who were employed.]<br /></svar></p> <p><svar v=" PA60A421 PA60A422 PA60A423" a="all">20. What does this business (establishment or company) do?<br /><div class="i1">Write grocery, agricultural plantation, clothing manufacture, bar, sale of food, etc., as the case may be.<br /><br />____</div><br /></svar> <svar v="PA60A421 PA60A422 PA60A423" a="all"><span class="h3">Question 20 What does this business, establishment or company do?</span><br /><br />Write precisely the class of activity which the business, establishment, company, agricultural farm, cattle ranch, or private office whose name is written down in question 19 does. If we use as an example the cases in point "a" of the instructions, for each question the annotations about the class of activity would be in the following form:<br /><div class="i1">a. Name of the Business, establishment/Class of activity that is done company etc.<br />The Arboleda Farm/Agriculture<br />The National Mattress Factory/Manufacture of mattresses<br />El Tamarindo Bar/Bar<br />Central Pharmacy/Sale of medicine<br />Panama America Printers/Printing of newspapers<br />Atlas Gas Station/Sale of gasoline<br />La Suerte Department Store/Sale of clothes and footwear<br />International Hotel/Accommodations<br />Balboa Brewery/Production of beer<br />La Mariposa Grocery Store/Groceries<br />Central Clinic/Medical consulting</div><br /><br /><span class="pg">[p.48]</span><br /><br /><div class="i1"><span class="em">Draw a diagonal line</span> when a response to question 19 is:<br />b) The name of a Department of the Government or of the Municipality or of an Official Institution.<br />c) "Agricultural farm" or "Cattle Ranch".<br />d) "Family house."<br />e) "In his/her own house".<br />f) "In the street".<br />g) "In the sea".<br />h) "Canal Zone".</div><br /></svar> Panama 1960: Non-indigenous persons age 10+ who employed or worked before [discrepancies: none] This variable indicates the 3-digit industry in which the person's occupation was exercised. 001 Not specified in agriculture, forestry, hunting, and fishing 011 Agriculture 012 Livestock 013 Agriculture and livestock 014 Agricultural services 021 Forestry 022 Wood extraction 030 Ordinary hunting, trap hunting and animal repopulation 041 High seas and coastal fishing, excluding such as is carried out by factory-boats 043 Fishing in interior waterways 051 Undocumented 122 Extraction of minerals other than iron 130 Crude petroleum and natural gas 140 Rock, clay and sand extraction 191 Mine and salt quarry exploitation 201 Livestock slaughter, meat preparation and conservation 202 Manufacture of milk products 203 Canning and conservation of fruits and legumes 204 Canning and conservation of fish and other marine products 205 Manufacture of mill products 206 Manufacture of bread products 207 Sugar refiners 208 Manufacture of cacao, chocolate and confections 209 Diverse food industries 211 Distillation, purification and mixing of alcoholic drinks 213 Manufacture of beer and malt 214 Manufacture of nonalcoholic drinks and carbonated water 220 Tobacco industry 230 Manufacture of textiles 241 Manufacture of shoes 242 Cobbler 243 Manufacture of men's fabric clothing 244 Tailor 245 Stylist and workshops for adorning, pleating, etc. 246 Manufacture and repair of mattresses 249 Other textile manufacturing except clothing 251 Wood sawing workshops and other woodworking workshops 252 Manufacture of carpentry work for construction 259 Manufacture of cork and wood products not classified elsewhere 260 Manufacture of furniture and accessories 266 Undocumented 270 Manufacture of paper and paper products 280 Printing presses, print houses, and related industries 291 Tanners and workshops for finishing 292 Manufacture of articles of leather and skins except for shoes and other clothing 300 Manufacture and repair of rubber products 311 Essential industrial chemical products including fertilizer 312 Vegetable and animal greases and fats 314 Manufacture of ordinary soap and bleaching liquids 315 Manufacture of paints, varnishes and lacquers 319 Manufacture of diverse chemical products 320 Manufacture of products derived from petroleum and carbon 331 Manufacture of clay products for construction 332 Manufacture of glass and glass products 333 Manufacture of objects of clay, china, and porcelain 334 Manufacture of cement (hydraulic) 335 Manufacture of cement blocks, floors, tubes and canals 339 Manufacture of nonmetallic mineral products not categorized in other part 340 Basic metal industries 344 Undocumented 350 Manufacture of metal products except for machinery and transportation equipment 360 Undocumented 370 Construction and repair of electrical machinery, apparatuses, accessories and articles 374 Undocumented 381 Naval constructions and boat repair 383 Construction and repair of automobile bodies 384 Vehicle, automobile and bicycle repair 394 Manufacture of jewelry and related items 399 Manufacturing industries not categorized in other part 400 Construction 511 Electricity for lights and electrical energy 512 Water production and distribution 520 Water supply 610 Wholesale commerce 611 Food, drink and tobacco products 612 Primary farming products and materials 613 Cut wood and construction materials 614 Pharmaceutical, cosmetic and make-up products 615 Distribution of petroleum and carbon products 616 Textile goods and clothing 617 Import and export, commission and wholesale agencies 618 Undocumented 619 Wholesale commerce not categorized in other parts 621 Retail commerce in groceries (including sales of food, fish, poultry) (includes market stalls) 622 Meat shops, fish shops and retail sales of domestic birds (includes market stalls) 623 Fruit shops and vegetable shops (includes market stalls) 624 Grocery-drink store and Grocery-meat store; Grocery-bar and any other combination 625 Supermarket 626 Bread sales, pastries and other bread products 627 Retail sales of alcoholic and non-alcoholic beverages (Wine shops. Excludes bars, clubs, etc.) 629 Other retail sales of food and drinks not categorized in other part, drink stands 631 Sale of knit products by piece, spin and knit product stores 632 Sale of clothes, clothing and accessories 633 Sale of shoes and similar 635 Bazaars and larger stores 639 Other wholesale commerce in textile products and clothing not categorized in other part 641 Sales of furniture and home accessories (including sewing machines) 642 Sale of home electronic items (includes refrigerators, washers, etc.) 643 Sale of music instruments and music reproduction machines (includes radios, phonographs, and televisions) 649 Other retail commerce of furniture and accessories for the home not categorized in other part 651 Hardware stores and locksmith shops 652 Pharmacies and drug stores (Includes the sale of cosmetics and perfumes) 653 Gasoline stations 654 Bookstores and office items 655 Jewelers and watch stores (sale and repair) 656 Buy-sale of used items 657 Sale of photography items and materials 658 Sale of flowers and gardening items 659 Other retail commerce not categorized in other part 661 Banks 662 Pawn shop 663 Insurance 664 Real estate 665 Other financial establishments 701 Undocumented 710 Transports 711 Transportation by train and related services, such as bed-cars, dining-cars, express trains 712 Streetcars and buses 713 Transportation of passengers by road, except for transportation by bus 714 Transportation by road not classified in other part 716 Transportation by water 717 Air transportation 718 Services related to transportation 719 Transportation not classified in other part 720 Deposits and storage 730 Communications 810 Governmental services 811 Undocumented 821 Public instruction 822 Medical and sanitary services 823 Scientific and research institutions 824 Religious organizations 825 Social assistance institutions 826 Commercial and professional associations and labor organizations 827 Libraries, museums, botanical gardens and zoos 828 Undocumented 829 Public services not classified in other part 831 Legal services 832 Accounting, auditing and bookkeeping 833 Technical services 839 Business services not classified in other part 841 Production, distribution and exhibition of cinematographic films 842 Theatres and related services 843 Pool, bowling, cock pits, race tracks, and lotteries 844 Recreation services, except for theatres and movie theaters 850 Personal services 851 Domestic services 852 Restaurants, cafes and other establishments that offer food 853 Bars (including bar-restaurant combinations) 854 Drink shops, malt shops and ice-cream shops 855 Hotels, guest houses, camp sites and other places of lodging 856 Laundromats, and laundry services; cleaning and dry-cleaning 857 Barber shops and beauty salons 858 Photographic studios and commercial photography 859 Personal services not classified in other part 861 Undocumented 901 Undocumented 902 Undocumented 950 Panama canal 999 NIU (not in universe) Work: Industry Variables -- PERSON Class of worker <svar v="PA60A416 PA60A417 PA60A418 PA60A419 PA60A420 PA60A421 PA60A422 PA60A423 PA60A424 PA60A425 PA60A426 PA60A433">Only for those 10 years of age and older.<br />[Questions 14-22 were asked only of persons aged 10 and older.]<br /></svar></p> <p><svar v="PA60A421 PA60A422 PA60A423 PA60A424 PA60A425 PA60A426">[Questions 19-22 were asked only of persons who were employed.]<br /></svar></p> <p><svar v="PA60A424" a="all">21. Occupational category [employment status]:<br /><div class="i1">(Only for one who is working) Mark the appropriate box. Owner: operates own company and supervises one or more employees. Employee: works for an owner and is remunerated. Own-account worker: operates own company and has no employees to supervise. Family worker: engages in unremunerated work in a company operated by a member of the family.<br /><br />[] 1 Owner<br />[] 2 Employee<br />[] 3 Own-account<br />[] 4 Family worker</div><br /></svar> <svar v="PA60A424" a="all"><span class="h3">Question 21 Occupational Category (for those who work):</span><br /><br />If the person has a job the day of the Census, mark the corresponding box applicable to the following definitions.<br /><div class="i1"><span class="em">Owner</span>: one who runs their own company or works a profession or office on their own account and always is in charge of one or more enumerated employees.<br /><span class="em">Employee</span>: one who works for a public or private owner and receives remuneration for the work in the form of a salary, wage, commission, tip, paid by the job or in kind.</div><br /><br />[The instructions refer to a graphic of question 21 of the census form.]<br /><br /><span class="pg">[p. 49]</span><br /><br /><div class="i1"><span class="em">Own-account worker</span>: one who runs their own company o private business or works a profession or office on their own account and is not in charge of any remunerated employees. This person can work alone or with an associate.<br /><span class="em">Family worker</span>: one who works an unremunerated job in a company or business run by a member of their own family.</div><br /></svar> Panama 1960: Non-indigenous persons age 10+ who were employed [discrepancies: none] This variable indicates the class of worker. 1 Owner 2 Employee 3 Own-account 4 Family worker 9 NIU (not in universe) Work Variables -- PERSON Type of pay <svar v="PA60A416 PA60A417 PA60A418 PA60A419 PA60A420 PA60A421 PA60A422 PA60A423 PA60A424 PA60A425 PA60A426 PA60A433">Only for those 10 years of age and older.<br />[Questions 14-22 were asked only of persons aged 10 and older.]<br /></svar></p> <p><svar v="PA60A421 PA60A422 PA60A423 PA60A424 PA60A425 PA60A426">[Questions 19-22 were asked only of persons who were employed.]<br /></svar></p> <p><svar v="PA60A425 PA60A426" a="all">22. Wage or salary:<br /><div class="i1">If a wage or salary is received, how much is earned? Write the amount in the appropriate space, according to whether the salary is set by the hour, day, week, or month.<br /><br />[] 1 Per hour B/. ____<br />[] 2 Daily B/. ____<br />[] 3 Weekly B/. ____<br />[] 4 Monthly B/. ____</div><br /></svar> <svar v="PA60A425 PA60A426" a="all"><span class="h3">Question 22 Wage or salary: If a wage is received, how much is earned? (Only for the employee)</span><br /><br />Write in the corresponding space the amount in <span class="lang">Balboas</span>, according to whether the salary is set by the hour, day, week or month.<br /><br />[The instructions refer to a graphic of question 22 of the census form.]<br /><br />For example: If the salary is set at 50 cents an hour, write down in the following way: Per hour 1 B/.0.50, even when the wage is received weekly. If the wage is set at 90 <span class="lang">balboas</span> monthly, write down the following: Monthly 4 B/.90.00 even when the wage is paid every two weeks. Such is the case, for example, for government employees whose wage is set in a monthly sum, but receive the wage every two weeks.<br />For employees who receive their wages based on commission, task, percentage, or in kind, that is, who do not receive a previously established wage or salary, draw a diagonal line. Keep in mind that the question refers to the gross wage, that is to say, without deductions of discounts, or Social Security fees, or Income Tax, etc.<br /></svar> Panama 1960: Non-indigenous persons age 10+ who were employed [discrepancies: type I trace; type II none] This variable indicates the frequency of salary or wage payment. 1 Hourly 2 Daily 3 Weekly 4 Monthly 8 Not declared 9 NIU (not in universe) Income Variables -- PERSON Amount of salary <svar v="PA60A416 PA60A417 PA60A418 PA60A419 PA60A420 PA60A421 PA60A422 PA60A423 PA60A424 PA60A425 PA60A426 PA60A433">Only for those 10 years of age and older.<br />[Questions 14-22 were asked only of persons aged 10 and older.]<br /></svar></p> <p><svar v="PA60A421 PA60A422 PA60A423 PA60A424 PA60A425 PA60A426">[Questions 19-22 were asked only of persons who were employed.]<br /></svar></p> <p><svar v="PA60A425 PA60A426" a="all">22. Wage or salary:<br /><div class="i1">If a wage or salary is received, how much is earned? Write the amount in the appropriate space, according to whether the salary is set by the hour, day, week, or month.<br /><br />[] 1 Per hour B/. ____<br />[] 2 Daily B/. ____<br />[] 3 Weekly B/. ____<br />[] 4 Monthly B/. ____</div><br /></svar> <svar v="PA60A425 PA60A426" a="all"><span class="h3">Question 22 Wage or salary: If a wage is received, how much is earned? (Only for the employee)</span><br /><br />Write in the corresponding space the amount in <span class="lang">Balboas</span>, according to whether the salary is set by the hour, day, week or month.<br /><br />[The instructions refer to a graphic of question 22 of the census form.]<br /><br />For example: If the salary is set at 50 cents an hour, write down in the following way: Per hour 1 B/.0.50, even when the wage is received weekly. If the wage is set at 90 <span class="lang">balboas</span> monthly, write down the following: Monthly 4 B/.90.00 even when the wage is paid every two weeks. Such is the case, for example, for government employees whose wage is set in a monthly sum, but receive the wage every two weeks.<br />For employees who receive their wages based on commission, task, percentage, or in kind, that is, who do not receive a previously established wage or salary, draw a diagonal line. Keep in mind that the question refers to the gross wage, that is to say, without deductions of discounts, or Social Security fees, or Income Tax, etc.<br /></svar> Panama 1960: Non-indigenous persons who received wage or salary [discrepancies: none] This variable indicates the amount of salary or wage in Balboa hourly, daily, weekly, or monthly. The frequency of the payment is given in PA60A425. NOTE: The income data are inconsistent with aforementioned time-unit variable. Some of the values may have been transformed into a common metric while others were not. PA60A426 is a 4-digit numeric variable. Codes9998 = Unknown 9999 = NIU (not in universe) Income Variables -- PERSON Speak Spanish <svar v="PA60A427 PA60A428 PA60A429 PA60A430 PA60A431"><span class="h1">Description of the Form for Indigenous Regions</span><br /><br />The same Form with the questions for the Population Census and the Agricultural and Livestock Census will be used for the enumeration of the population that lives in indigenous regions. Regarding the Population Census questions, they are in the form of columns, that is to say, there are columns on the form meant for each one of the persons that is part of the family. This form is meant to enumerate a family on each form and consists of 14 columns. <br /></svar></p> <p><svar v="PA60A427 PA60A428 PA60A429 PA60A430 PA60A431">It contains the following questions:<br /></svar></p> <p><svar v="PA60A427" a="all">6. Do you speak Spanish?<br /></svar> Panama 1960: Indigenous persons [discrepancies: none] This variable indicates whether the person in indigenous regions can speak Spanish or not. 1 Yes 2 No 9 NIU (not in universe) Ethnicity and Language Variables -- PERSON Children born alive <svar v="PA60A427 PA60A428 PA60A429 PA60A430 PA60A431"><span class="h1">Description of the Form for Indigenous Regions</span><br /><br />The same Form with the questions for the Population Census and the Agricultural and Livestock Census will be used for the enumeration of the population that lives in indigenous regions. Regarding the Population Census questions, they are in the form of columns, that is to say, there are columns on the form meant for each one of the persons that is part of the family. This form is meant to enumerate a family on each form and consists of 14 columns. <br /></svar></p> <p><svar v="PA60A427 PA60A428 PA60A429 PA60A430 PA60A431">It contains the following questions:<br /></svar></p> <p><svar v="PA60A428" a="all">7. How many children have you had that were born alive?<br /></svar> Panama 1960: Indigenous females age 12+ [discrepancies: none] This variable indicates the number of children whom the woman in indigenous regions has gave birth to and who were born alive. 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 15 15 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children deceased <svar v="PA60A427 PA60A428 PA60A429 PA60A430 PA60A431"><span class="h1">Description of the Form for Indigenous Regions</span><br /><br />The same Form with the questions for the Population Census and the Agricultural and Livestock Census will be used for the enumeration of the population that lives in indigenous regions. Regarding the Population Census questions, they are in the form of columns, that is to say, there are columns on the form meant for each one of the persons that is part of the family. This form is meant to enumerate a family on each form and consists of 14 columns. <br /></svar></p> <p><svar v="PA60A427 PA60A428 PA60A429 PA60A430 PA60A431">It contains the following questions:<br /></svar></p> <p><svar v="PA60A429" a="all">8. How many children died before they began to walk?<br /></svar> Panama 1960: Indigenous females age 12+ who reported having given birth [discrepancies: type I 0.5%; type II none] This variable indicates the number of children whom the woman in indigenous regions has ever given birth to and who died before they began to walk. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Smallpox vaccinated <svar v="PA60A427 PA60A428 PA60A429 PA60A430 PA60A431"><span class="h1">Description of the Form for Indigenous Regions</span><br /><br />The same Form with the questions for the Population Census and the Agricultural and Livestock Census will be used for the enumeration of the population that lives in indigenous regions. Regarding the Population Census questions, they are in the form of columns, that is to say, there are columns on the form meant for each one of the persons that is part of the family. This form is meant to enumerate a family on each form and consists of 14 columns. <br /></svar></p> <p><svar v="PA60A427 PA60A428 PA60A429 PA60A430 PA60A431">It contains the following questions:<br /></svar></p> <p><svar v="PA60A431" a="all">11. Are you vaccinated against smallpox?<br /></svar> Panama 1960: Indigenous persons [discrepancies: none] This variable whether the person in indigenous regions was vaccinated against smallpox. 1 Yes 2 No 9 NIU (not in universe) Other Person Variables -- PERSON Type of record in original data file Panama 1960: All persons This variable indicates the type of the original data file from which the record was taken. 1 Heads 2 Individual 3 Indigenous 4 Collective dwelling Other Person Variables -- PERSON