VI Censo Nacional de Población y II de Vivienda 1963 DDI_CRI_1963_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. VI Censo Nacional de Población y II de Vivienda - IPUMS Subset 1963 PHC cr1963a (IPUMS Harmonized Subset) CRI_1963_PHC_v01_M_v7.6_A_IPUMS Dirección General de Estadísticas y Censos IPUMS (c) Copyright 1963, Dirección General de Estadísticas y Censos and Minnesota Population Center Dirección General de Estadísticas y Censos Population and Housing Census [hh/popcen] IPUMS International DOI:10.18128/D020.V7.6 Version 7.6. The datasets contain selected variables from the original microdata plus harmonized variables from the IPUMS-International database. Demographic Variables -- PERSON Geography: Global Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Technical Household Variables -- HOUSEHOLD Education Variables -- PERSON Utilities Variables -- HOUSEHOLD Work Variables -- PERSON Geography: A-E Variables -- HOUSEHOLD Migration: Global Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Migration: A-E Variables -- PERSON Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Other Household Variables -- HOUSEHOLD Demographic Variables -- PERSON Migration: Global Variables -- PERSON Nativity and Birthplace Variables -- PERSON Income Variables -- PERSON Education Variables -- PERSON Work Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON March 31, 1963 Clearly longer than April 1, 1963. Costa Rica Cantons with 20,000+ population in 2000; combined as necessary by IPUMS Persons UNITS IDENTIFIED: - Dwellings: no - Vacant Units: No - Households: no - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: Every place or premises structurally separate or independent, that has been built, converted or available for purposes of lodging or housing of persons, temporarily or permanently, such as any other class of lodging, fixed or mobile, occupied as living quarters on the date of the Census. - Households: A group of persons who form a Census Family. It is used as living quarters by a Census Family, which can constitute a single person. - Group quarters: A group of persons who form a Non Family Group and use the space as living quarters. All occupied dwellings including all individuals living in the country at midnight April 1, 1963 (i.e. between March 31 and April 1). Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Costa Rica 1963 Note: Persons not organized into households MICRODATA SOURCE: Dirección General de Estadísticas y Censos SAMPLE SIZE (person records): 82345. SAMPLE DESIGN: Face-to-face [f2f] Single enumeration form that requested information on the dwelling and individuals. de jure, CENSUS DAY: March 31, 1963 Self-weighting. Expansion factor = 17. IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. IPUMS International works with each country's statistical office to minimize the risk of disclosure of respondent information. The details of the confidentiality protections vary across countries, but in all cases, names and detailed geographic information are suppressed and top-codes are imposed on variables such as income that might identify specific persons. In addition, IPUMS International uses a variety of technical procedures to enhance confidentiality protection. These include the following: (1) Swapping an undisclosed fraction of records from one administrative district to another to make positive identification of individuals impossible. (2) Randomizing the placement of households within districts to disguise the order in which individuals were enumerated or the data processed. (3) Aggregating codes of sensitive characteristics (e.g., grouping together very small ethnic categories) (4) Top- and bottom-coding continuous variables to prevent identification of extreme cases. The safety record for public-use census microdata is apparently perfect. In almost four decades of use, there has not been a single verified breach of statistical confidentiality. The measures implemented by the IPUMS International are designed to extend this record. Dirección General de Estadísticas y Censos Steven Ruggles, Lara Cleveland, Rodrigo Lovaton, Sula Sarkar, Matthew Sobek, Derek Burk, Dan Ehrlich, Quinn Heimann, Jane Lee, and Nate Merrill. Integrated Public Use Microdata Series, International: Version 7.6 [dataset]. Minneapolis, MN: IPUMS, 2025. https://doi.org/10.18128/D020.V7.6 Researchers should also acknowledge the statistical agency that originally produced the data: Costa Rica, Dirección General de Estadísticas y Censos. VI Censo Nacional de Población y II de Vivienda The licensing agreement for use of IPUMS International data requires that users supply IPUMS International with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation. Copies of such materials are also gratefully received at ipums@umn.edu. Printed matter should be sent to: IPUMS International Minnesota Population Center University of Minnesota 50 Willey Hall 225 19th Avenue South Minneapolis, MN 55455 An adapted version of the dataset, harmonized for international comparability, is available from IPUMS International (https://international.ipums.org/international/) under the following conditions: IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. User-provided description: DOI:10.18128/D020.V7.6 Extract for cr1963a, 2025 CRI1963_PHC-H-H.dat Household records n.a. ascii Minnesota Population Center Version 7.5, IPUMS sample CRI1963_PHC-P-H.dat Person records 82345 ascii Minnesota Population Center Version 7.5, IPUMS sample Record type RECTYPE identifies the type of record for the case: household or person. NOTE: RECTYPE is an alphabetic (character string) variable with a value of 'H' for household records and 'P' for person records. RECTYPE will not appear as a variable in the default rectangular extracts produced by the data extract system. It is only available in hierarchical extracts, to distinguish between the two record types. H Household P Person Technical Household Variables -- HOUSEHOLD Country COUNTRY gives the country from which the sample was drawn. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization). 032 Argentina 051 Armenia 040 Austria 050 Bangladesh 112 Belarus 204 Benin 068 Bolivia 072 Botswana 076 Brazil 854 Burkina Faso 116 Cambodia 120 Cameroon 124 Canada 152 Chile 156 China 170 Colombia 188 Costa Rica 192 Cuba 208 Denmark 214 Dominican Republic 218 Ecuador 818 Egypt 222 El Salvador 231 Ethiopia 242 Fiji 246 Finland 250 France 276 Germany 288 Ghana 300 Greece 320 Guatemala 324 Guinea 332 Haiti 340 Honduras 348 Hungary 352 Iceland 356 India 360 Indonesia 364 Iran 368 Iraq 372 Ireland 376 Israel 380 Italy 384 Côte d'Ivoire 388 Jamaica 400 Jordan 404 Kenya 417 Kyrgyz Republic 418 Laos 426 Lesotho 430 Liberia 454 Malawi 458 Malaysia 466 Mali 480 Mauritius 484 Mexico 496 Mongolia 504 Morocco 508 Mozambique 104 Myanmar 524 Nepal 528 Netherlands 558 Nicaragua 566 Nigeria 578 Norway 586 Pakistan 275 Palestine 591 Panama 598 Papua New Guinea 600 Paraguay 604 Peru 608 Philippines 616 Poland 620 Portugal 630 Puerto Rico 642 Romania 643 Russia 646 Rwanda 662 Saint Lucia 686 Senegal 694 Sierra Leone 703 Slovak Republic 705 Slovenia 710 South Africa 728 South Sudan 724 Spain 729 Sudan 740 Suriname 752 Sweden 756 Switzerland 834 Tanzania 764 Thailand 768 Togo 780 Trinidad and Tobago 792 Turkey 800 Uganda 804 Ukraine 826 United Kingdom 840 United States 858 Uruguay 862 Venezuela 704 Vietnam 894 Zambia 716 Zimbabwe Technical Household Variables -- HOUSEHOLD Year YEAR gives the year in which the census or survey was taken. For samples that span years, the midpoint or first year of the interval is reported. 1703 1703 1729 1729 1787 1787 1801 1801 1819 1819 1845 1845 1848 1848 1850 1850 1851 1851 1852 1852 1860 1860 1861 1861 1865 1865 1868 1868 1870 1870 1871 1871 1875 1875 1880 1880 1881 1881 1885 1885 1890 1890 1891 1891 1900 1900 1901 1901 1910 1910 1911 1911 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1966 1966 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 Technical Household Variables -- HOUSEHOLD IPUMS sample identifier SAMPLE identifies the IPUMS sample from which the case is drawn. Each sample receives a unique 9-digit code. The code is structured as follows: The first 3 digits are the ISO/UN codes used in COUNTRY The next 4 digits are the year of the census/survey The final 2 digits identify the sample within the year. For the last two digits, censuses or large census-like surveys have a value "0" (e.g, 01) in the second-to-last digit, household surveys have a value of "2" (e.g., 21), and employment surveys have a value of "4" (e.g., 41). 032197001 Argentina 1970 032198001 Argentina 1980 032199101 Argentina 1991 032200101 Argentina 2001 032201001 Argentina 2010 051200101 Armenia 2001 051201101 Armenia 2011 040197101 Austria 1971 040198101 Austria 1981 040199101 Austria 1991 040200101 Austria 2001 040201101 Austria 2011 050199101 Bangladesh 1991 050200101 Bangladesh 2001 050201101 Bangladesh 2011 112199901 Belarus 1999 112200901 Belarus 2009 204197901 Benin 1979 204199201 Benin 1992 204200201 Benin 2002 204201301 Benin 2013 068197601 Bolivia 1976 068199201 Bolivia 1992 068200101 Bolivia 2001 068201201 Bolivia 2012 072198101 Botswana 1981 072199101 Botswana 1991 072200101 Botswana 2001 072201101 Botswana 2011 076196001 Brazil 1960 076197001 Brazil 1970 076198001 Brazil 1980 076199101 Brazil 1991 076200001 Brazil 2000 076201001 Brazil 2010 854198501 Burkina Faso 1985 854199601 Burkina Faso 1996 854200601 Burkina Faso 2006 116199801 Cambodia 1998 116200401 Cambodia 2004 116200801 Cambodia 2008 116201301 Cambodia 2013 116201901 Cambodia 2019 120197601 Cameroon 1976 120198701 Cameroon 1987 120200501 Cameroon 2005 124185201 Canada 1852 124187101 Canada 1871 124188101 Canada 1881 124189101 Canada 1891 124190101 Canada 1901 124191101 Canada 1911 124197101 Canada 1971 124198101 Canada 1981 124199101 Canada 1991 124200101 Canada 2001 124201101 Canada 2011 152196001 Chile 1960 152197001 Chile 1970 152198201 Chile 1982 152199201 Chile 1992 152200201 Chile 2002 152201701 Chile 2017 156198201 China 1982 156199001 China 1990 156200001 China 2000 170196401 Colombia 1964 170197301 Colombia 1973 170198501 Colombia 1985 170199301 Colombia 1993 170200501 Colombia 2005 188196301 Costa Rica 1963 188197301 Costa Rica 1973 188198401 Costa Rica 1984 188200001 Costa Rica 2000 188201101 Costa Rica 2011 192200201 Cuba 2002 192201201 Cuba 2012 208178701 Denmark 1787 208180101 Denmark 1801 208184501 Denmark 1845 208188001 Denmark 1880 208188501 Denmark 1885 214196001 Dominican Republic 1960 214197001 Dominican Republic 1970 214198101 Dominican Republic 1981 214200201 Dominican Republic 2002 214201001 Dominican Republic 2010 218196201 Ecuador 1962 218197401 Ecuador 1974 218198201 Ecuador 1982 218199001 Ecuador 1990 218200101 Ecuador 2001 218201001 Ecuador 2010 818184801 Egypt 1848 818186801 Egypt 1868 818198601 Egypt 1986 818199601 Egypt 1996 818200601 Egypt 2006 222199201 El Salvador 1992 222200701 El Salvador 2007 231198401 Ethiopia 1984 231199401 Ethiopia 1994 231200701 Ethiopia 2007 242196601 Fiji 1966 242197601 Fiji 1976 242198601 Fiji 1986 242199601 Fiji 1996 242200701 Fiji 2007 242201401 Fiji 2014 246201001 Finland 2010 250196201 France 1962 250196801 France 1968 250197501 France 1975 250198201 France 1982 250199001 France 1990 250199901 France 1999 250200601 France 2006 250201101 France 2011 276181901 Germany 1819 (Mecklenburg) 276197001 Germany 1970 (West) 276197101 Germany 1971 (East) 276198101 Germany 1981 (East) 276198701 Germany 1987 (West) 288198401 Ghana 1984 288200001 Ghana 2000 288201001 Ghana 2010 300197101 Greece 1971 300198101 Greece 1981 300199101 Greece 1991 300200101 Greece 2001 300201101 Greece 2011 320196401 Guatemala 1964 320197301 Guatemala 1973 320198101 Guatemala 1981 320199401 Guatemala 1994 320200201 Guatemala 2002 324198301 Guinea 1983 324199601 Guinea 1996 324201401 Guinea 2014 332197101 Haiti 1971 332198201 Haiti 1982 332200301 Haiti 2003 340196101 Honduras 1961 340197401 Honduras 1974 340198801 Honduras 1988 340200101 Honduras 2001 340201301 Honduras 2013 348197001 Hungary 1970 348198001 Hungary 1980 348199001 Hungary 1990 348200101 Hungary 2001 348201101 Hungary 2011 352170301 Iceland 1703 352172901 Iceland 1729 352180101 Iceland 1801 352190101 Iceland 1901 352191001 Iceland 1910 356198341 India 1983 356198741 India 1987 356199341 India 1993 356199941 India 1999 356200441 India 2004 356200941 India 2009 360197101 Indonesia 1971 360197601 Indonesia 1976 360198001 Indonesia 1980 360198501 Indonesia 1985 360199001 Indonesia 1990 360199501 Indonesia 1995 360200001 Indonesia 2000 360200501 Indonesia 2005 360201001 Indonesia 2010 364200601 Iran 2006 364201101 Iran 2011 368199701 Iraq 1997 372190101 Ireland 1901 372191101 Ireland 1911 372197101 Ireland 1971 372197901 Ireland 1979 372198101 Ireland 1981 372198601 Ireland 1986 372199101 Ireland 1991 372199601 Ireland 1996 372200201 Ireland 2002 372200601 Ireland 2006 372201101 Ireland 2011 372201601 Ireland 2016 376197201 Israel 1972 376198301 Israel 1983 376199501 Israel 1995 376200801 Israel 2008 380200101 Italy 2001 380201101 Italy 2011 380201121 Italy 2011 Q1 LFS 380201221 Italy 2012 Q1 LFS 380201321 Italy 2013 Q1 LFS 380201421 Italy 2014 Q1 LFS 380201521 Italy 2015 Q1 LFS 380201621 Italy 2016 Q1 LFS 380201721 Italy 2017 Q1 LFS 380201821 Italy 2018 Q1 LFS 380201921 Italy 2019 Q1 LFS 380202021 Italy 2020 Q1 LFS 384198801 Côte d'Ivoire 1988 384199801 Côte d'Ivoire 1998 388198201 Jamaica 1982 388199101 Jamaica 1991 388200101 Jamaica 2001 400200401 Jordan 2004 404196901 Kenya 1969 404197901 Kenya 1979 404198901 Kenya 1989 404199901 Kenya 1999 404200901 Kenya 2009 404201901 Kenya 2019 417199901 Kyrgyz Republic 1999 417200901 Kyrgyz Republic 2009 418199501 Laos 1995 418200501 Laos 2005 418201501 Laos 2015 426199601 Lesotho 1996 426200601 Lesotho 2006 430197401 Liberia 1974 430200801 Liberia 2008 454198701 Malawi 1987 454199801 Malawi 1998 454200801 Malawi 2008 454201801 Malawi 2018 458197001 Malaysia 1970 458198001 Malaysia 1980 458199101 Malaysia 1991 458200001 Malaysia 2000 466198701 Mali 1987 466199801 Mali 1998 466200901 Mali 2009 480199001 Mauritius 1990 480200001 Mauritius 2000 480201101 Mauritius 2011 484196001 Mexico 1960 484197001 Mexico 1970 484199001 Mexico 1990 484199501 Mexico 1995 484200001 Mexico 2000 484200501 Mexico 2005 484201001 Mexico 2010 484201501 Mexico 2015 484202001 Mexico 2020 484200521 Mexico 2005 Q1 LFS 484200522 Mexico 2005 Q2 LFS 484200523 Mexico 2005 Q3 LFS 484200524 Mexico 2005 Q4 LFS 484200621 Mexico 2006 Q1 LFS 484200622 Mexico 2006 Q2 LFS 484200623 Mexico 2006 Q3 LFS 484200624 Mexico 2006 Q4 LFS 484200721 Mexico 2007 Q1 LFS 484200722 Mexico 2007 Q2 LFS 484200723 Mexico 2007 Q3 LFS 484200724 Mexico 2007 Q4 LFS 484200821 Mexico 2008 Q1 LFS 484200822 Mexico 2008 Q2 LFS 484200823 Mexico 2008 Q3 LFS 484200824 Mexico 2008 Q4 LFS 484200921 Mexico 2009 Q1 LFS 484200922 Mexico 2009 Q2 LFS 484200923 Mexico 2009 Q3 LFS 484200924 Mexico 2009 Q4 LFS 484201021 Mexico 2010 Q1 LFS 484201022 Mexico 2010 Q2 LFS 484201023 Mexico 2010 Q3 LFS 484201024 Mexico 2010 Q4 LFS 484201121 Mexico 2011 Q1 LFS 484201122 Mexico 2011 Q2 LFS 484201123 Mexico 2011 Q3 LFS 484201124 Mexico 2011 Q4 LFS 484201221 Mexico 2012 Q1 LFS 484201222 Mexico 2012 Q2 LFS 484201223 Mexico 2012 Q3 LFS 484201224 Mexico 2012 Q4 LFS 484201321 Mexico 2013 Q1 LFS 484201322 Mexico 2013 Q2 LFS 484201323 Mexico 2013 Q3 LFS 484201324 Mexico 2013 Q4 LFS 484201421 Mexico 2014 Q1 LFS 484201422 Mexico 2014 Q2 LFS 484201423 Mexico 2014 Q3 LFS 484201424 Mexico 2014 Q4 LFS 484201521 Mexico 2015 Q1 LFS 484201522 Mexico 2015 Q2 LFS 484201523 Mexico 2015 Q3 LFS 484201524 Mexico 2015 Q4 LFS 484201621 Mexico 2016 Q1 LFS 484201622 Mexico 2016 Q2 LFS 484201623 Mexico 2016 Q3 LFS 484201624 Mexico 2016 Q4 LFS 484201721 Mexico 2017 Q1 LFS 484201722 Mexico 2017 Q2 LFS 484201723 Mexico 2017 Q3 LFS 484201724 Mexico 2017 Q4 LFS 484201821 Mexico 2018 Q1 LFS 484201822 Mexico 2018 Q2 LFS 484201823 Mexico 2018 Q3 LFS 484201824 Mexico 2018 Q4 LFS 484201921 Mexico 2019 Q1 LFS 484201922 Mexico 2019 Q2 LFS 484201923 Mexico 2019 Q3 LFS 484201924 Mexico 2019 Q4 LFS 484202021 Mexico 2020 Q1 LFS 484202023 Mexico 2020 Q3 LFS 496198901 Mongolia 1989 496200001 Mongolia 2000 496201001 Mongolia 2010 496202001 Mongolia 2020 504198201 Morocco 1982 504199401 Morocco 1994 504200401 Morocco 2004 504201401 Morocco 2014 508199701 Mozambique 1997 508200701 Mozambique 2007 508201701 Mozambique 2017 104201401 Myanmar 2014 524200101 Nepal 2001 524201101 Nepal 2011 528196001 Netherlands 1960 528197101 Netherlands 1971 528200101 Netherlands 2001 528201101 Netherlands 2011 558197101 Nicaragua 1971 558199501 Nicaragua 1995 558200501 Nicaragua 2005 566200621 Nigeria 2006 566200721 Nigeria 2007 566200821 Nigeria 2008 566200921 Nigeria 2009 566201021 Nigeria 2010 578180101 Norway 1801 578186501 Norway 1865 578187501 Norway 1875 578190001 Norway 1900 578191001 Norway 1910 586197301 Pakistan 1973 586198101 Pakistan 1981 586199801 Pakistan 1998 275199701 Palestine 1997 275200701 Palestine 2007 275201701 Palestine 2017 591196001 Panama 1960 591197001 Panama 1970 591198001 Panama 1980 591199001 Panama 1990 591200001 Panama 2000 591201001 Panama 2010 598198001 Papua New Guinea 1980 598199001 Papua New Guinea 1990 598200001 Papua New Guinea 2000 600196201 Paraguay 1962 600197201 Paraguay 1972 600198201 Paraguay 1982 600199201 Paraguay 1992 600200201 Paraguay 2002 604199301 Peru 1993 604200701 Peru 2007 604201701 Peru 2017 608199721 Philippines 1997 Q1 LFS 608199722 Philippines 1997 Q2 LFS 608199723 Philippines 1997 Q3 LFS 608199724 Philippines 1997 Q4 LFS 608199821 Philippines 1998 Q1 LFS 608199822 Philippines 1998 Q2 LFS 608199823 Philippines 1998 Q3 LFS 608199824 Philippines 1998 Q4 LFS 608199921 Philippines 1999 Q1 LFS 608199922 Philippines 1999 Q2 LFS 608199923 Philippines 1999 Q3 LFS 608199924 Philippines 1999 Q4 LFS 608200021 Philippines 2000 Q1 LFS 608200022 Philippines 2000 Q2 LFS 608200023 Philippines 2000 Q3 LFS 608200024 Philippines 2000 Q4 LFS 608200121 Philippines 2001 Q1 LFS 608200122 Philippines 2001 Q2 LFS 608200123 Philippines 2001 Q3 LFS 608200124 Philippines 2001 Q4 LFS 608200221 Philippines 2002 Q1 LFS 608200222 Philippines 2002 Q2 LFS 608200223 Philippines 2002 Q3 LFS 608200224 Philippines 2002 Q4 LFS 608200321 Philippines 2003 Q1 LFS 608200322 Philippines 2003 Q2 LFS 608200323 Philippines 2003 Q3 LFS 608200324 Philippines 2003 Q4 LFS 608200421 Philippines 2004 Q1 LFS 608200422 Philippines 2004 Q2 LFS 608200423 Philippines 2004 Q3 LFS 608200424 Philippines 2004 Q4 LFS 608200521 Philippines 2005 Q1 LFS 608200522 Philippines 2005 Q2 LFS 608200523 Philippines 2005 Q3 LFS 608200524 Philippines 2005 Q4 LFS 608200621 Philippines 2006 Q1 LFS 608200622 Philippines 2006 Q2 LFS 608200623 Philippines 2006 Q3 LFS 608200624 Philippines 2006 Q4 LFS 608200721 Philippines 2007 Q1 LFS 608200722 Philippines 2007 Q2 LFS 608200723 Philippines 2007 Q3 LFS 608200724 Philippines 2007 Q4 LFS 608200821 Philippines 2008 Q1 LFS 608200822 Philippines 2008 Q2 LFS 608200823 Philippines 2008 Q3 LFS 608200824 Philippines 2008 Q4 LFS 608200921 Philippines 2009 Q1 LFS 608200922 Philippines 2009 Q2 LFS 608200923 Philippines 2009 Q3 LFS 608200924 Philippines 2009 Q4 LFS 608201021 Philippines 2010 Q1 LFS 608201022 Philippines 2010 Q2 LFS 608201023 Philippines 2010 Q3 LFS 608201024 Philippines 2010 Q4 LFS 608201121 Philippines 2011 Q1 LFS 608201122 Philippines 2011 Q2 LFS 608201123 Philippines 2011 Q3 LFS 608201124 Philippines 2011 Q4 LFS 608201221 Philippines 2012 Q1 LFS 608201222 Philippines 2012 Q2 LFS 608201223 Philippines 2012 Q3 LFS 608201224 Philippines 2012 Q4 LFS 608201321 Philippines 2013 Q1 LFS 608201322 Philippines 2013 Q2 LFS 608201323 Philippines 2013 Q3 LFS 608201324 Philippines 2013 Q4 LFS 608201421 Philippines 2014 Q1 LFS 608201422 Philippines 2014 Q2 LFS 608201423 Philippines 2014 Q3 LFS 608201424 Philippines 2014 Q4 LFS 608201521 Philippines 2015 Q1 LFS 608201522 Philippines 2015 Q2 LFS 608201523 Philippines 2015 Q3 LFS 608201524 Philippines 2015 Q4 LFS 608201621 Philippines 2016 Q1 LFS 608201622 Philippines 2016 Q2 LFS 608201623 Philippines 2016 Q3 LFS 608201624 Philippines 2016 Q4 LFS 608201721 Philippines 2017 Q1 LFS 608201722 Philippines 2017 Q2 LFS 608201723 Philippines 2017 Q3 LFS 608201724 Philippines 2017 Q4 LFS 608201821 Philippines 2018 Q1 LFS 608201822 Philippines 2018 Q2 LFS 608201823 Philippines 2018 Q3 LFS 608201824 Philippines 2018 Q4 LFS 608201921 Philippines 2019 Q1 LFS 608201922 Philippines 2019 Q2 LFS 608201923 Philippines 2019 Q3 LFS 608199001 Philippines 1990 608199501 Philippines 1995 608200001 Philippines 2000 608201001 Philippines 2010 616197801 Poland 1978 616198801 Poland 1988 616200201 Poland 2002 616201101 Poland 2011 620198101 Portugal 1981 620199101 Portugal 1991 620200101 Portugal 2001 620201101 Portugal 2011 630197001 Puerto Rico 1970 630198001 Puerto Rico 1980 630199001 Puerto Rico 1990 630200001 Puerto Rico 2000 630200501 Puerto Rico 2005 630201001 Puerto Rico 2010 630201501 Puerto Rico 2015 630202001 Puerto Rico 2020 642197701 Romania 1977 642199201 Romania 1992 642200201 Romania 2002 642201101 Romania 2011 643200201 Russia 2002 643201001 Russia 2010 646199101 Rwanda 1991 646200201 Rwanda 2002 646201201 Rwanda 2012 662198001 Saint Lucia 1980 662199101 Saint Lucia 1991 686198801 Senegal 1988 686200201 Senegal 2002 686201301 Senegal 2013 694200401 Sierra Leone 2004 694201501 Sierra Leone 2015 703199101 Slovak Republic 1991 703200101 Slovak Republic 2001 703201101 Slovak Republic 2011 705200201 Slovenia 2002 710199601 South Africa 1996 710200101 South Africa 2001 710200701 South Africa 2007 710201101 South Africa 2011 710201601 South Africa 2016 728200801 South Sudan 2008 724198101 Spain 1981 724199101 Spain 1991 724200101 Spain 2001 724201101 Spain 2011 724200521 Spain 2005 Q1 LFS 724200522 Spain 2005 Q2 LFS 724200523 Spain 2005 Q3 LFS 724200524 Spain 2005 Q4 LFS 724200621 Spain 2006 Q1 LFS 724200622 Spain 2006 Q2 LFS 724200623 Spain 2006 Q3 LFS 724200624 Spain 2006 Q4 LFS 724200721 Spain 2007 Q1 LFS 724200722 Spain 2007 Q2 LFS 724200723 Spain 2007 Q3 LFS 724200724 Spain 2007 Q4 LFS 724200821 Spain 2008 Q1 LFS 724200822 Spain 2008 Q2 LFS 724200823 Spain 2008 Q3 LFS 724200824 Spain 2008 Q4 LFS 724200921 Spain 2009 Q1 LFS 724200922 Spain 2009 Q2 LFS 724200923 Spain 2009 Q3 LFS 724200924 Spain 2009 Q4 LFS 724201021 Spain 2010 Q1 LFS 724201022 Spain 2010 Q2 LFS 724201023 Spain 2010 Q3 LFS 724201024 Spain 2010 Q4 LFS 724201121 Spain 2011 Q1 LFS 724201122 Spain 2011 Q2 LFS 724201123 Spain 2011 Q3 LFS 724201124 Spain 2011 Q4 LFS 724201221 Spain 2012 Q1 LFS 724201222 Spain 2012 Q2 LFS 724201223 Spain 2012 Q3 LFS 724201224 Spain 2012 Q4 LFS 724201321 Spain 2013 Q1 LFS 724201322 Spain 2013 Q2 LFS 724201323 Spain 2013 Q3 LFS 724201324 Spain 2013 Q4 LFS 724201421 Spain 2014 Q1 LFS 724201422 Spain 2014 Q2 LFS 724201423 Spain 2014 Q3 LFS 724201424 Spain 2014 Q4 LFS 724201521 Spain 2015 Q1 LFS 724201522 Spain 2015 Q2 LFS 724201523 Spain 2015 Q3 LFS 724201524 Spain 2015 Q4 LFS 724201621 Spain 2016 Q1 LFS 724201622 Spain 2016 Q2 LFS 724201623 Spain 2016 Q3 LFS 724201624 Spain 2016 Q4 LFS 724201721 Spain 2017 Q1 LFS 724201722 Spain 2017 Q2 LFS 724201723 Spain 2017 Q3 LFS 724201724 Spain 2017 Q4 LFS 724201821 Spain 2018 Q1 LFS 724201822 Spain 2018 Q2 LFS 724201823 Spain 2018 Q3 LFS 724201824 Spain 2018 Q4 LFS 724201921 Spain 2019 Q1 LFS 724201922 Spain 2019 Q2 LFS 724201923 Spain 2019 Q3 LFS 724201924 Spain 2019 Q4 LFS 724202021 Spain 2020 Q1 LFS 724202022 Spain 2020 Q2 LFS 724202023 Spain 2020 Q3 LFS 724202024 Spain 2020 Q4 LFS 729200801 Sudan 2008 740200401 Suriname 2004 740201201 Suriname 2012 752188001 Sweden 1880 752189001 Sweden 1890 752190001 Sweden 1900 752191001 Sweden 1910 756197001 Switzerland 1970 756198001 Switzerland 1980 756199001 Switzerland 1990 756200001 Switzerland 2000 756201101 Switzerland 2011 834198801 Tanzania 1988 834200201 Tanzania 2002 834201201 Tanzania 2012 764197001 Thailand 1970 764198001 Thailand 1980 764199001 Thailand 1990 764200001 Thailand 2000 768196001 Togo 1960 768197001 Togo 1970 768201001 Togo 2010 780197001 Trinidad and Tobago 1970 780198001 Trinidad and Tobago 1980 780199001 Trinidad and Tobago 1990 780200001 Trinidad and Tobago 2000 780201101 Trinidad and Tobago 2011 792198501 Turkey 1985 792199001 Turkey 1990 792200001 Turkey 2000 800199101 Uganda 1991 800200201 Uganda 2002 800201401 Uganda 2014 804200101 Ukraine 2001 826185101 United Kingdom 1851 (England and Wales) 826185102 United Kingdom 1851 (Scotland) 826185103 United Kingdom 1851 (2% sample) 826186101 United Kingdom 1861 (England and Wales) 826186102 United Kingdom 1861 (Scotland) 826187101 United Kingdom 1871 (Scotland) 826188101 United Kingdom 1881 (England and Wales) 826188102 United Kingdom 1881 (Scotland) 826189101 United Kingdom 1891 (England and Wales) 826189102 United Kingdom 1891 (Scotland) 826190101 United Kingdom 1901 (England and Wales) 826190102 United Kingdom 1901 (Scotland) 826191101 United Kingdom 1911 (England and Wales) 826196101 United Kingdom 1961 826197101 United Kingdom 1971 826199101 United Kingdom 1991 826200101 United Kingdom 2001 840185001 United States 1850 (100%) 840185002 United States 1850 (1%) 840186001 United States 1860 (1%) 840187001 United States 1870 (1%) 840188001 United States 1880 (100%) 840188002 United States 1880 (10%) 840190001 United States 1900 (5%) 840191001 United States 1910 (1%) 840196001 United States 1960 840197001 United States 1970 840198001 United States 1980 840199001 United States 1990 840200001 United States 2000 840200501 United States 2005 840201001 United States 2010 840201501 United States 2015 840202001 United States 2020 858196301 Uruguay 1963 858196302 Uruguay 1963 (full count) 858197501 Uruguay 1975 858197502 Uruguay 1975 (full count) 858198501 Uruguay 1985 858198502 Uruguay 1985 (full count) 858199601 Uruguay 1996 858199602 Uruguay 1996 (full count) 858200621 Uruguay 2006 858201101 Uruguay 2011 858201102 Uruguay 2011 (full count) 862197101 Venezuela 1971 862198101 Venezuela 1981 862199001 Venezuela 1990 862200101 Venezuela 2001 704198901 Vietnam 1989 704199901 Vietnam 1999 704200901 Vietnam 2009 704201901 Vietnam 2019 894199001 Zambia 1990 894200001 Zambia 2000 894201001 Zambia 2010 716201201 Zimbabwe 2012 Technical Household Variables -- HOUSEHOLD Household serial number SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database. SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred: Chile 1970, 1992, 2002Colombia 1993, 2005Costa Rica 1984, 2000Cuba 2002Dominican Republic 1981, 2002, 2010Ecuador 1990, 2001Germany 1971Hungary 1980, 1990, 2001Jamaica 1982, 1991, 2001Malaysia 1970, 1991, 2000Mexico 1995, 1990, 2000, 2005Nigeria 2006Panama 2000Peru 1993, 2007Portugal 1981, 1991, 2001Spain 1991Uruguay 2011Venezuela 1990, 2001Vietnam 1989In all other samples, the last 3 digits are always zeroes. SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets. The U.S. 1900 sample and 1880 10% sample have multi-household dwellings that can be identified using the last 3 digits of SERIAL. SERIAL is a 10-digit numeric variable. The last 3 digits of SERIAL indicate household number within dwelling for selected samples noted in the variable description. In all other samples, the last 3 digits are always zeroes. Technical Household Variables -- HOUSEHOLD Number of person records in the household PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons. PERSONS is a 4-digit numeric variable. Technical Household Variables -- HOUSEHOLD Household weight HHWT indicates the number of households in the population represented by the household in the sample. For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics. NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Household Variables -- HOUSEHOLD Subsample number SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples. 00 1st 1% subsample 01 2nd 1% subsample 02 3rd 1% subsample 03 4th 1% subsample 04 5th 1% subsample 05 6th 1% subsample 06 7th 1% subsample 07 8th 1% subsample 08 9th 1% subsample 09 10th 1% subsample 10 11th 1% subsample 11 12th 1% subsample 12 13th 1% subsample 13 14th 1% subsample 14 15th 1% subsample 15 16th 1% subsample 16 17th 1% subsample 17 18th 1% subsample 18 19th 1% subsample 19 20th 1% subsample 20 21st 1% subsample 21 22nd 1% subsample 22 23rd 1% subsample 23 24th 1% subsample 24 25th 1% subsample 25 26th 1% subsample 26 27th 1% subsample 27 28th 1% subsample 28 29th 1% subsample 29 30th 1% subsample 30 31st 1% subsample 31 32nd 1% subsample 32 33rd 1% subsample 33 34th 1% subsample 34 35th 1% subsample 35 36th 1% subsample 36 37th 1% subsample 37 38th 1% subsample 38 39th 1% subsample 39 40th 1% subsample 40 41st 1% subsample 41 42nd 1% subsample 42 43rd 1% subsample 43 44th 1% subsample 44 45th 1% subsample 45 46th 1% subsample 46 47th 1% subsample 47 48th 1% subsample 48 49th 1% subsample 49 50th 1% subsample 50 51st 1% subsample 51 52nd 1% subsample 52 53rd 1% subsample 53 54th 1% subsample 54 55th 1% subsample 55 56th 1% subsample 56 57th 1% subsample 57 58th 1% subsample 58 59th 1% subsample 59 60th 1% subsample 60 61st 1% subsample 61 62nd 1% subsample 62 63rd 1% subsample 63 64th 1% subsample 64 65th 1% subsample 65 66th 1% subsample 66 67th 1% subsample 67 68th 1% subsample 68 69th 1% subsample 69 70th 1% subsample 70 71st 1% subsample 71 72nd 1% subsample 72 73rd 1% subsample 73 74th 1% subsample 74 75th 1% subsample 75 76th 1% subsample 76 77th 1% subsample 77 78th 1% subsample 78 79th 1% subsample 79 80th 1% subsample 80 81st 1% subsample 81 82nd 1% subsample 82 83rd 1% subsample 83 84th 1% subsample 84 85th 1% subsample 85 86th 1% subsample 86 87th 1% subsample 87 88th 1% subsample 88 89th 1% subsample 89 90th 1% subsample 90 91st 1% subsample 91 92nd 1% subsample 92 93rd 1% subsample 93 94th 1% subsample 94 95th 1% subsample 95 96th 1% subsample 96 97th 1% subsample 97 98th 1% subsample 98 99th 1% subsample 99 100th 1% subsample Technical Household Variables -- HOUSEHOLD Strata identifier This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation. STRATA is a 12-digit numeric variable. Technical Household Variables -- HOUSEHOLD Group quarters (collective dwelling) status GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools. Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification. Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions. 00 Vacant 10 Households 20 Group quarters (collective), n.s. 21 Institutions 22 Other group quarters 29 1-person unit created by splitting large household 99 Unknown/group quarters not identified Group Quarters Variables -- HOUSEHOLD 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 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 Costa Rica, Province 1963 - 2011 [Level 1; consistent boundaries, GIS] GEO1_CR identifies the household's province within Costa Rica in all sample years. Provinces are the first level administrative units of the country. GEO1_CR is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization. A GIS map (in shapefile format), corresponding to GEO1_CR can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Costa Rica 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. 188001 San José 188002 Alajuela 188003 Cartago 188004 Heredia 188005 Guanacaste 188006 Puntarenas 188007 Limón Geography: A-E Variables -- HOUSEHOLD Costa Rica, Province 1963 [Level 1, GIS] GEO1_CR1963 identifies the household's province within Costa Rica in 1963. Provinces are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_CR1963 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Costa Rica 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. 001 San José 002 Alajuela 003 Cartago 004 Heredia 005 Guanacaste 006 Puntarenas 007 Limón Geography: A-E Variables -- HOUSEHOLD Costa Rica, Canton 1963 - 2011 [Level 2; consistent boundaries, GIS] GEO2_CR identifies the household's canton within Costa Rica in all sample years. Cantons are the second level administrative units of the country, after provinces. GEO2_CR 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_CR can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Costa Rica 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. 188001001 San José 188001002 Desamparados 188001003 Pérez Zeledón 188001004 Goicoechea 188001005 Alajuelita 188001006 Aserrí, León Cortés 188001007 Curridabat 188001008 Tibás 188001009 Canton Vásquez de Coronado 188001010 Moravia 188001011 Escazú 188001012 Montes de Oca 188001013 Santa Ana 188001014 Puriscal, Turrubares 188001015 Mora 188001016 Tarrazú, Dota 188001017 Acosta 188002001 Alajuela 188002002 San Carlos 188002003 Grecia, Upala, Los Chiles, Guatuso 188002004 San Ramón, San Mateo 188002005 Naranjo 188002006 Palmares 188002007 Alfaro Ruíz, Valverde Vega 188002008 Póas 188002009 Atenas 188002010 Orotina 188003001 Cartago 188003002 La Unión 188003003 Jiménez, Turrialba 188003004 Canton Paraíso, Alvarado 188003005 Oreamuno 188003006 El Guarco 188004001 Heredia, Sarapiquí 188004002 San Rafael 188004003 Santo Domingo 188004004 Belén, Flores 188004005 Barva 188004006 Santa Bárbara 188004007 San Pablo 188004008 San Isidro 188005001 Nicoya, Bagaces, Nandayure, Hojancha 188005002 Liberia, La Cruz 188005003 Cañas, Abangares, Tilarán 188005004 Santa Cruz 188005005 Carrillo 188006001 Puntarenas, Garabito 188006002 Golfito, Coto Brus, Corredores 188006003 Buenos Aires 188006004 Aguirre, Parrita 188006005 Esparza, Montes de Oro 188006006 Osa 188007001 Pococi, Guácimo 188007002 Limón, Talamanca, Matina 188007003 Siquirres Geography: A-E Variables -- HOUSEHOLD Costa Rica, Canton 1963 [Level 2, GIS] GEO2_CR1963 identifies the household's canton within Costa Rica in 1963. Cantons are the second level administrative units of the country, after provinces. A GIS map (in shapefile format), corresponding to GEO2_CR1963 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Costa Rica 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. 001001 Coronado 001002 Tibás 001003 Curridabat 001004 Aserrí, León Cortés 001005 Alajuelita 001006 Goicoechea 001007 Pérez Zeledón 001008 Desamparados 001009 Central (San José) 001010 Moravia 001011 Escazú 001012 Montes De Oca 001013 Santa Ana 001014 Puriscal, Turrubares 001015 Mora 001016 Tarrazú, Dota 001017 Acosta 002001 San Carlos 002002 Grecia 002003 Central (Alajuela) 002004 Palmares 002005 Alfaro Ruíz, Valverde Vega 002006 San Ramón, San Mateo 002007 Naranjo 002008 Atenas 002009 Poás 002010 Orotina 003001 Central (Cartago) 003002 Jiménez, Turrialba 003003 La Union 003004 Oreamuno 003005 Paraíso, Alvarado 003006 El Guarco 004001 Belén, Flores 004002 Barba 004003 Santa Bárbara 004004 San Pablo 004005 Central (Heredia) 004006 San Rafael 004007 Santo Domingo 004008 San Isidro 005001 Nicoya, Bagaces, Nandayure 005002 Cañas, Abangares, Tilarán 005003 Liberia (Central) 005004 Carrillo 005005 Santa Cruz 006001 Esparta, Montes De Oro 006002 Golfito 006003 Buenos Aires 006004 Osa 006005 Central (Puntarenas) 006006 Aguirre 007001 Soquirres 007002 Central (Limón) 007003 Pococí Geography: A-E Variables -- HOUSEHOLD Ownership of dwelling [general version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 0 NIU (not in universe) 1 Owned 2 Not owned 9 Unknown Household Economic Variables -- HOUSEHOLD Ownership of dwelling [detailed version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 000 NIU (not in universe) 100 Owned 110 Owned, already paid 120 Owned, still paying 130 Owned, constructed 140 Owned, inherited 190 Owned, other 191 Owned, house 192 Owned, condominium 193 Apartment proprietor 194 Shared ownership 200 Not owned 210 Renting, not specified 211 Renting, government 212 Renting, local authority 213 Renting, parastatal 214 Renting, private 215 Renting, private company 216 Renting, individual 217 Renting, collective 218 Renting, joint state and individual 219 Renting, public subsidized 220 Renting, private subsidized 221 Renting, co-tenant 222 Renting, relative of tenant 223 Renting, cooperative 224 Renting, with a job or business 225 Renting, loan-backed habitation 226 Renting, mixed contract 227 Furnished dwelling 228 Sharecropping 230 Subletting 231 Rent to own 239 Renting, other 240 Occupied de facto/squatting 250 Free/usufruct (no cash rent) 251 Free, provided by employer 252 Free, without work or services 253 Free, provided by family or friend 254 Free, private 255 Free, public 256 Free, condemned 257 Free, other 260 Endowment, Waqf (Egypt historical) 290 Not owned, other 999 Unknown Household Economic Variables -- HOUSEHOLD Electricity ELECTRIC indicates whether the household had access to electricity. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Utilities Variables -- HOUSEHOLD Water supply WATSUP describes the physical means by which the housing unit receives its water. The primary distinction is whether or not the household had piped (running) water. 00 NIU (not in universe) 10 Yes, piped water 11 Piped inside dwelling 12 Piped, exclusively to this household 13 Piped, shared with other households 14 Piped outside the dwelling 15 Piped outside dwelling, in building 16 Piped within the building or plot of land 17 Piped outside the building or lot 18 Have access to public piped water 20 No piped water 99 Unknown Utilities Variables -- HOUSEHOLD Sewage SEWAGE indicates whether the household has access to a sewage system or septic tank. 00 NIU (not in universe) 10 Connected to sewage system or septic tank 11 Sewage system (public sewage disposal) 12 Septic tank (private sewage disposal) 20 Not connected to sewage disposal system 99 Unknown Utilities Variables -- HOUSEHOLD Hot water heater HOTWATER indicates whether the housing unit had a water heater. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Refrigerator REFRIG indicates whether the household had a refrigerator. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Television set TV indicates whether the household had a television. 00 NIU (not in universe) 10 No 20 Yes, color or black-and-white not specified 21 1 television 22 2 televisions 23 3 televisions 24 4 televisions 25 5 televisions 26 6 televisions 27 7 televisions 28 8 televisions 29 9+ televisions 30 Yes, at least one color tv 31 1 color tv 32 2 color tvs 33 3+ televisions 40 Yes, black-and-white only 41 1 black-white tv 42 2 black-white tvs 43 3+ black-white tvs 99 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Radio in household RADIO indicates whether the household had a radio. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of rooms ROOMS indicates the number of rooms occupied by the housing unit. 00 Part of a room; no rooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of bedrooms BEDROOMS indicates the number of rooms available to members of the household for sleeping. 00 No bedrooms 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+ 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 Roof material This variable indicates the dwelling's predominant roofing material. 00 NIU (not in universe) 10 Masonry, concrete, clay tile, or tiles of unspecified type 11 Concrete or cement 12 Reinforced concrete (slab) 13 Cement or sheet metal 14 Tile, unspecified material 15 Clay tile 16 Tile or cement 17 Modern tiles, industrial 18 Traditional tiles, locally made 19 Tile or flat stone 20 Tile, unspecified or mixed materials 21 Fibercement or plastic 22 Fibercement or metal sheets 23 Asphalt or laminate cover 24 Tile, cement, asphalt 25 Asphalt tile 26 Slate or tile 27 Slate or asbestos 28 Asbestos 29 Adobe 30 Tiles or wood planks 31 Roofing shingles 32 Tar paper 33 Metal 34 Sheet metal 35 Zinc or tin 36 Tin 37 Sheet metal or other sheet material 38 Sheet metal, tile, slate 40 Wood and other plant materials 41 Wood 42 Wood, including bamboo 43 Bamboo 44 Cogon, nipa, anahaw 45 Thatch (straw, grass, leaves, palm, etc.) 46 Cane, wood, straw 47 Grass or straw 48 Papyrus 49 Banana leaves or fiber 50 Palm or makuti 51 Straw, bamboo, polythene 52 Wood with clay 53 Grass and mud 54 Rustic mat 60 Mud or earth 61 Clay 70 Cardboard, scrap, and miscellaneous materials 71 Discarded or scrap material 72 Cardboard 73 Plastic, tarpaulin 80 Other, unspecified 90 No roof 99 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Dwelling number Costa Rica 1963: All households This variable indicates dwelling number. This is a 5-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Number of persons in household Costa Rica 1963: All households This variable indicates number of persons in the household. 1 1 Technical Household Variables -- HOUSEHOLD Agricultural region <svar v="CR63A003 CR63A004 CR63A005 CR63A006 CR63A007 CR63A008 CR63A010 CR63A011 CR63A012" a="all"><span class="h1">Identification</span><br /><br /><div class="i1">____ Province<br />____ Canton<br />____ District<br />____ Agricultural Region number<br />____ Zone number<br />____ Section number<br />____ Segment number</div><br /><div class="i2">[] Urban<br />[] Rural</div><br /><div class="i1">____ Census household number (visit order)<br />____ Institution (name)<br />____ Neighborhood or hamlet (<span class="lang">caserío</span>)<br />____ Avenues (numbers)<br />____ Streets (names)<br />____ Highway, route, etc.</div><br /></svar> Costa Rica 1963: All households This variable indicates the respondent's agricultural region. There are five agricultural regions, composed of a number of districts (and overlapping with cantons and provinces). 1 1 2 2 3 3 4 4 5 5 9 Unknown Geography: A-E Variables -- HOUSEHOLD Urban <svar v="CR63A003 CR63A004 CR63A005 CR63A006 CR63A007 CR63A008 CR63A010 CR63A011 CR63A012" a="all"><span class="h1">Identification</span><br /><br /><div class="i1">____ Province<br />____ Canton<br />____ District<br />____ Agricultural Region number<br />____ Zone number<br />____ Section number<br />____ Segment number</div><br /><div class="i2">[] Urban<br />[] Rural</div><br /><div class="i1">____ Census household number (visit order)<br />____ Institution (name)<br />____ Neighborhood or hamlet (<span class="lang">caserío</span>)<br />____ Avenues (numbers)<br />____ Streets (names)<br />____ Highway, route, etc.</div><br /></svar> Costa Rica 1963: All households This variable indicates if the respondent lived in urban or rural area. For urban areas, the type of city is indicated. 1 Urban: Capital city 2 Urban: Second category 3 Urban: Third category 4 Urban: Fourth category 5 Rural Geography: A-E Variables -- HOUSEHOLD Demographic area <svar v="CR63A003 CR63A004 CR63A005 CR63A006 CR63A007 CR63A008 CR63A010 CR63A011 CR63A012" a="all"><span class="h1">Identification</span><br /><br /><div class="i1">____ Province<br />____ Canton<br />____ District<br />____ Agricultural Region number<br />____ Zone number<br />____ Section number<br />____ Segment number</div><br /><div class="i2">[] Urban<br />[] Rural</div><br /><div class="i1">____ Census household number (visit order)<br />____ Institution (name)<br />____ Neighborhood or hamlet (<span class="lang">caserío</span>)<br />____ Avenues (numbers)<br />____ Streets (names)<br />____ Highway, route, etc.</div><br /></svar> Costa Rica 1963: All households This variable indicates the demographic area where the respondent lives. 1 Intramontaine valley 2 Atlantic 3 Pacific - south 4 Pacific - north 5 North 9 Unknown Geography: A-E Variables -- HOUSEHOLD Type of collective institution <svar v="CR63A003 CR63A004 CR63A005 CR63A006 CR63A007 CR63A008 CR63A010 CR63A011 CR63A012" a="all"><span class="h1">Identification</span><br /><br /><div class="i1">____ Province<br />____ Canton<br />____ District<br />____ Agricultural Region number<br />____ Zone number<br />____ Section number<br />____ Segment number</div><br /><div class="i2">[] Urban<br />[] Rural</div><br /><div class="i1">____ Census household number (visit order)<br />____ Institution (name)<br />____ Neighborhood or hamlet (<span class="lang">caserío</span>)<br />____ Avenues (numbers)<br />____ Streets (names)<br />____ Highway, route, etc.</div><br /></svar> <svar v="CR63A012" a="all"><span class="em">Institution</span>: Written here is the name of the hotel, jail, hospital, clinic, boarding house etc., in which a Non Family Group resides. If the institution does not have a name, write down for example: Boarding House of Juan Pérez, Jail of Liberia, Clinic of Dr. Pedro Camacho, etc.<br /></svar> Costa Rica 1963: Collective dwellings [discrepancies: none] This variable indicates the type of collective institution the respondent lives in. 1 Asylum, hospital 2 Jails, prisons 3 Convents 4 Schools 5 Hotels 6 Worker housing 7 Other collective 8 Unknown 9 NIU (not in universe) Group Quarters Variables -- HOUSEHOLD Type of dwelling <svar v="CR63A013" a="all">1. Dwelling type<br /><div class="i1">(mark only one box)<br /><br />[] 1 Private<br />[] 2 Collective</div><br /></svar> <svar v="CR63A013" a="all"><span class="h3">Box No. 1.- Class of Dwelling</span><br /><br />Mark the corresponding box agreeing with the definitions of Private and Collective Dwelling that appears on page No. 21.<br /></svar> Costa Rica 1963: All households This variable indicates if the respondent lives in a collective or private dwelling. 1 Private dwelling 2 Collective dwelling Group Quarters Variables -- HOUSEHOLD Wall material <svar v="CR63A014" a="all">2. Predominant material in the walls<br /><div class="i1">(mark only one box)<br /><br />[] 1 Wood<br />[] 2 Concrete<br />[] 3 Metal sheet<br />[] 4 Adobe and cane with earth covered with a cement cap (<span class="lang">bahareque</span>)<br />[] 9 Other (specify) ____</div><br /></svar> <svar v="CR63A014" a="all"><span class="h3">Box No. 2.- Predominant Material in the Walls</span><br /><br />You should mark an "X" in the respective box, asking for the material which in the largest proportion has been used in the construction of the walls.<br /><br /><div class="i1">Wood- Wood of any kind<br /><br />Concrete- Brick, cement blocks, water proof cement, mixed brick, stone, reinforced concrete, cement, or any other natural or artificial stone material.<br /><br />Metal Sheet - Wood with metal wire screen and plaster.<br /><br />Adobe and <span class="lang">bahareque</span> - cane with earth covered with a cement cap (french <span class="lang">bahareque</span>), Mud blocks in wooden beams and mixed with smashed brick (filled <span class="lang">bahareque</span>), Blocks of earth (adobe).<br /><br />Other- Specify when using this space, writing down for example: palm, straw, etc.</div><br /></svar> Costa Rica 1963: Private dwellings [discrepancies: none] This variable indicates the material in the dwelling's walls. 0 NIU (not in universe) 1 Wood 2 Concrete 3 Metal sheet 4 Adobe 5 Straw 6 Other Dwelling Characteristics Variables -- HOUSEHOLD Floor material <svar v="CR63A015" a="all">3. Predominant material in the floors<br /><div class="i1">(mark only one box)<br /><br />[] 1 Wood<br />[] 2 Tile<br />[] 3 Brick<br />[] 4 Mosaic or concrete<br />[] 9 Other (specify) ____</div><br /></svar> <svar v="CR63A015" a="all"><span class="h3">Box No. 3.- Predominant Material in the Floors</span><br /><br />Indicate with an "X" the box for the material which in the largest proportion was used in the construction of the floors. Remember to specify when you use the space "Other", writing down for example: terrazzo, etc.<br /></svar> Costa Rica 1963: Private dwellings [discrepancies: none] This variable indicates the material in the dwelling's floor. 0 NIU (not in universe) 1 Wood 2 Earth 3 Brick 4 Mosaic concrete 5 Other Dwelling Characteristics Variables -- HOUSEHOLD Roof material <svar v="CR63A016" a="all">4. Predominant material in the roof<br /><div class="i1">(mark only one box)<br /><br />[] 1 Clay tiles<br />[] 2 Metal sheet (zinc, aluminum, etc.)<br />[] 9 Other (specify) ____</div><br /></svar> <svar v="CR63A016" a="all"><span class="h3">Box No. 4.- Predominant Material in the Roofs</span><br /><br />Apply the same criteria of Boxes 2 and 3, and specify when you use the space "Other", writing for example: plastic sheets, palm, etc.<br /></svar> Costa Rica 1963: Private dwellings [discrepancies: none] This variable indicates the material used in the roof of the dwelling. 0 NIU (not in universe) 1 Clay tiles 2 Metal sheets 3 Straw 4 Other Dwelling Characteristics Variables -- HOUSEHOLD Condition of the dwelling <svar v="CR63A017" a="all">5. Condition of the dwelling<br /><div class="i1">[] 1 Good<br />[] 2 Fair<br />[] 3 Poor</div><br /></svar> <svar v="CR63A017" a="all"><span class="h3">Box No. 5- State of the Dwelling</span><br /><br />Mark the respective box according to the following criteria:<br /><br /><span class="em">Good</span><br /><br />Good condition of being inhabited<br /><br /><span class="em">Average</span><br /><br />A dwelling that requires repairs of some importance, by damage or lack of floors or ceiling, or by defects in the walls or roofs, but that has a lot of an acceptable size and is able to be repaired economically, without its defective conditions constituting immanent danger for its inhabitants.<br /><br /><span class="em">Bad</span><br /><br />A dwelling of inadequate original construction, (although recent), because of not having sufficient area, because of the use of materials of waste in the foundation, walls or roof, because of a lack of materials in an extensive area of the foundation, or because of a dangerous slope in the land.<br /><br />A dwelling deteriorated by a sunken or cracked base, cracked collapsing walls with holes or rot, deteriorated or unsafe roofs, notable curvature of foundations, walls or roofs.<br /><br />When any of these factors or a combination of these implies danger for its inhabitants, and it is not possible economically to correct or repair the defect, the dwelling will be classified as <span class="em">Bad</span>.<br /><br />Therefore, the general criteria for classifying a dwelling as <span class="em">bad</span> will be that dwelling which <span class="em">should be eliminated or replaced completely</span>.<br /><br /><span class="em">Aggravating factors</span> for classifying a dwelling as <span class="em">bad</span> will be considered as:<br /><br /><div class="i1">Lack of access to a public thoroughfare, or deficient access for lateral access, alley, or narrow street.<br /><br />Very pronounced slope, principally at the banks of rivers.<br /><br />Lack of light and ventilation.<br /><br />Unhealthy or disturbing neighborhood (smell, noise, etc).</div><br /></svar> Costa Rica 1963: Private dwellings [discrepancies: none] This variable indicates the condition of the dwelling. 0 NIU (not in universe) 1 Good 2 Fair 3 Poor Dwelling Characteristics Variables -- HOUSEHOLD Water source <svar v="CR63A018" a="all">6. Water source<br /><br /><div class="i1">By pipe (mark one box in each case, a, b, and c)</div><br /><div class="i2">a)<br />[] Public system<br />[] Private system<br />b)<br />[] Inside the dwelling<br />[] Outside of the dwelling<br />c)<br />[] For this dwelling only<br />[] For this and other dwellings</div><br /><br /><div class="i1">By other means</div><br /><div class="i2">[] 8 Well<br />[] 9 Other (specify) ____</div><br /><br /><div class="i1">[] X Does not have</div><br /></svar> <svar v="CR63A018" a="all"><span class="h3">Box No. 6.- Water Source</span><br /><br /><span class="em">Piped</span><br /><br />Piped water service is understood as the supply of water by pipes from a public or private system, the water always arrives by means of pipes to the dwelling or that is carried from a pipe or other apparatus connected to the public or private system, that is found at a distance <span class="em">not greater than 100 meters from the Dwelling</span>.<br /><br />Mark with an "X" a box of each one of the following cases:<br /><br />[Below the text is a graphic.]<br /><br />According to whether the piped system to which the pipe is connected is public or private.<br /><br /><span class="pg">[p. 28]</span><br /><br />[Below the text is a graphic.]<br /><br />According to whether the pipe takes the water to the interior of the dwelling or not.<br /><br />[Below the text is a graphic.]<br /><br />According to whether the pipe supplies water <span class="em">only</span> to the dwelling whose characteristics you are writing down (only for this dwelling), or that supplies it also to other dwellings (for this and other dwellings).<br /><br /><span class="em">By other Means</span>:<br /><br />In the case of Dwellings that are supplied water by means of wells, rivers, ditches, etc. If the Dwelling takes water from a well located at a distance <span class="em">not greater than 100 meters</span>, you should mark the respective box ("well"); if it is by other means, specify in the space "Other", writing down for example: river, ditch, gulley, etc.<br /><br /><span class="em">Does not Have</span>:<br /><br />It is considered that a dwelling <span class="em">does not have</span> water service, when the place from which it is taken (river, ditch, well, gulley, pipe, etc.) is at a distance <span class="em">greater than 100 meters</span> from the dwelling.<br /><br />In the case that a family that is being enumerated is not provided water from a pipe, well or other source to provide themselves with water, but they are permitted to take it from a neighboring Dwelling or from a school, local store, etc. it is considered that the Dwelling <span class="em">does not have</span> water service.<br /></svar> Costa Rica 1963: Private dwellings [discrepancies: none] This variable indicates the source of water for the respondent's dwelling. 00 Public network inside the dwelling, exclusive 01 Public network inside the dwelling, shared 02 Public network outside the dwelling, exclusive 03 Public network outside the dwelling, shared 04 Private network inside the dwelling, exclusive 05 Private network inside the dwelling, shared 06 Private network outside the dwelling, exclusive 07 Private network outside the dwelling, shared 08 Well 09 Other 10 None 99 NIU (not in universe) Utilities Variables -- HOUSEHOLD Water supply to bathroom <svar v="CR63A019" a="all"><span class="h3">Box 7.- Water supply to bathroom</span><br /><br />It is understood that a dwelling <span class="em">has</span> bath services when it is provided from a place or room where a bath is found to be installed. The place can be within or outside the Dwelling. If it is outside it is considered that the Dwelling has a bath, only if it is found to be a distance not greater that 100 meters; if the distance is <span class="em">greater</span> than 100 meters the Dwelling <span class="em">does</span> not have bath services.<br /><br />The service can be:<br /><br /><span class="em">Piped</span>: when the bath is supplied water by means of a pipe connected to a public or private system, which brings the water to the Dwelling, or when the water is taken in a pipe or other apparatus that is found to be not greater than 100 meters from the Dwelling and that is connected to a public or private system. <span class="pg">[p. 29]</span> Mark the corresponding box according to whether it is:<br /><br /><span class="em">Only for this Dwelling</span>: when the bath is used by the right only of the occupants of <span class="em">the Dwelling that you are enumerating</span>.<br /><br /><span class="em">For this and other Dwellings</span>: when the bath is used by the occupants of the Dwelling whose information you are requesting and also by the right of occupants of <span class="em">other Dwellings</span>.<br /><br /><span class="em">By other means</span>: when there is no place or premises where an installed bath is found, it is always located a distance greater than 100 meters of the Dwelling. In these cases, the water is supplied from a river, well, ditch, or public or private system (piped) that is found more than 100 meters from the Dwelling.<br /><br />When you use the space "other means" you should specify for example: river, well, ditch piped, etc. according to where the source of water for the bath is supplied from.<br /><br /><span class="em">Does not have</span>: It is considered that a dwelling <span class="em">does not have</span> bath services when it is not provided a room or premises meant for this purpose, or that is its occupants bathe in places like rivers, gulleys, etc. Also it is considered that a Dwelling <span class="em">does not have</span> bath services if its occupants must cover a distance larger than 100 meters to arrive at a place in which a bath is installed.<br /><br />In the case that the family being enumerated uses, as a given favor, the bath of a neighboring house, school etc., you should consider also that the Dwelling <span class="em">does not have</span> a bath. Keep in mind that this is not the case of Dwellings, generally with the same owner, that have a single bathroom for all; when this situation presents itself it should be considered that each Dwelling has a bath, since its occupants make use of it because <span class="em">they have the right</span> to it.<br /></svar> Costa Rica 1963: Private dwellings [discrepancies: none] This variable indicates the type of toilet facilities in the respondent's dwelling. 0 NIU (not in universe) 1 Exclusive 2 Shared 3 None 4 Well 5 Others Dwelling Characteristics Variables -- HOUSEHOLD Sewer facilities 8. Sewer facilities</p> <div class="i1">(mark only one box)<br /><br />[] 1-2 Sewer<br />[] 3-4 Septic tank<br />[] 5-6 Concrete Cesspool (<span class="lang">Pozo negro de planchet</span>)<br />[] 7-8 Wooden Cesspool (<span class="lang">Pozo negro de madera</span>)<br />[] 9-0 Other<br />[] 11 Does not have</div> <svar v="CR63A020" a="all"><span class="h3">Box No. 8.- Sewer facilities</span><br /><br />Mark with an "X" the box that identifies the type of toilet facilities that the Dwelling has.<br /><br /><span class="em">Sewer</span>: When the apparatus is connected to a public system.<br /><br /><span class="em">Septic Tank</span>: When the apparatus is connected to a system that consists of a cement tank, in which the "negros" [black] waters are eliminated by special procedures.<br /><br /><span class="em">Cesspool</span>: (pit toilet): When the Dwelling only is provided a pit more or less deep, over which is a hut. The cesspool can be: <span class="pg">[p. 30]</span><br /><div class="i1">1) <span class="em">of Concrete</span>: When the floor and the walls are concrete.<br /><br />2) <span class="em">of Wood</span>: when the floor or the walls, or both wooden.</div><br /><br /><span class="em">Other</span>: Any other means of toilet services no thought of here.<br /><br /><span class="em">Does not have</span>: When the Dwelling is not supplied toilet services.<br /><br /><span class="h3">Box 9.- Use of Toilet Services</span><br /><br />You should ask if the toilet services are for <span class="em">exclusive</span> use of the occupants of the Dwelling ("Only For This Dwelling") or if it is also used <span class="em">with equal right</span> by those of other Dwellings ("For This and Other Dwellings"), and mark with an "X" the respective box.<br /></svar> Costa Rica 1963: Private dwellings [discrepancies: none] This variable indicates the nature of the dwelling's sewer facilities, if available. 01 Other for this and other dwellings 02 Sewer for this dwelling only 03 Sewer for this and others 04 Septic tank for this [dwelling] 05 Septic tank for this and others 06 Concrete pit toilet for this [dwelling] 07 Concrete pit toilet for this and others 08 Wooden pit toilet for this [dwelling] 09 Wooden pit toilet for this and others 10 Other for this dwelling only 11 None 99 NIU (not in universe) Utilities Variables -- HOUSEHOLD Electricity <svar v="CR63A021" a="all">10. Electric energy<br /><div class="i1">(mark only one box)<br /><br />[] 1 For lighting only<br />[] 2 For lighting and other uses<br />[] X Does not have</div><br /></svar> <svar v="CR63A021" a="all"><span class="h3">Box 10.- Electric Energy</span><br /><br />Ask if this electric energy is supplied to the Dwelling. If the response is affirmative, you should ask also what it is used for and mark the box that corresponds, according to if it is exclusively for lighting or is used also for any other things, like for example for the running of any domestic appliance ( radio, television set, electric stove, etc.) or any work machine installed in the Dwelling, or for a water well, etc. It is simply of interest to know if the electric energy is used only for lighting or for lighting and any other uses.<br /><br />When the Dwelling is not supplied electric energy you should mark the box "Does Not Have".<br /></svar> Costa Rica 1963: Private dwellings [discrepancies: none] This variable indicates the availability and use of electricity in the dwelling. 0 None 1 Only for lighting 2 For lighting and other uses 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Fuel used for cooking <svar v="CR63A022" a="all">11. Fuel used for cooking<br /><div class="i1">(Note the primary one)<br /><br />____<br />(Electricity, gas, kerosene (<span class="lang">canfín</span>), wood, charcoal, etc.)</div><br /></svar> <svar v="CR63A022" a="all"><span class="h3">Box No. 11.- Fuel used for Cooking</span><br /><br />Write down the type or class of fuel that is used for cooking most frequently and in the largest quantity. For example: firewood, coal, kerosene, gas, electricity, etc.<br /></svar> Costa Rica 1963: Private dwellings [discrepancies: none] This variable indicates the fuel used for cooking. 0 Live here but eat elsewhere 1 Electricity 2 Kerosene/petrol 3 Wood charcoal 4 Gas 5 Other 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Radio and electric iron <svar v="CR63A023 CR63A024 CR63A025 CR63A026">12. Appliances in the dwelling<br /><div class="i1">(mark a box on each line)</div><br /></svar><div class="i1">Radio</div><div class="i2">[] 1 Has<br />[] 4 Does not have</div> <svar v="CR63A023 CR63A024 CR63A025 CR63A026" a="all"><span class="h3">Box No.12.- Appliances in the Dwelling</span><br /><br />Ask if in the Dwelling there are: radio, electric iron, electric stove, electric toothbrush, washer, water heater, television set and refrigerator. It does not matter that the radio, washer or television set are of batteries, or the refrigerator of kerosene, what is of interest is knowing if the family has these appliances or not.<br /><br />The water heater can be any type: from the simple appliance placed in the bath to heat the water to the complete heating system of water from all the pipes that there are in the Dwelling.<br /><br />If any of these appliances are in any way borrowed they should not be included.<br /><br /><span class="pg">[p. 31]</span><br /><br />Always remember to mark one of the two boxes ("It Has" or "It Does Not Have") in the line corresponding to each appliance.<br /><br />The code space should be left blank, because it is for office use.<br /></svar> Costa Rica 1963: Private dwellings [discrepancies: none] This variable indicates if the respondent's household has a radio or an iron. 1 Has both 2 Radio yes, iron no 3 Radio no, iron yes 4 Neither 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Stove and vacuum cleaner <svar v="CR63A023 CR63A024 CR63A025 CR63A026">12. Appliances in the dwelling<br /><div class="i1">(mark a box on each line)</div><br /></svar><div class="i1">Electric cook stove</div><div class="i2">[] 1 Has<br />[] 4 Does not have</div> <svar v="CR63A023 CR63A024 CR63A025 CR63A026" a="all"><span class="h3">Box No.12.- Appliances in the Dwelling</span><br /><br />Ask if in the Dwelling there are: radio, electric iron, electric stove, electric toothbrush, washer, water heater, television set and refrigerator. It does not matter that the radio, washer or television set are of batteries, or the refrigerator of kerosene, what is of interest is knowing if the family has these appliances or not.<br /><br />The water heater can be any type: from the simple appliance placed in the bath to heat the water to the complete heating system of water from all the pipes that there are in the Dwelling.<br /><br />If any of these appliances are in any way borrowed they should not be included.<br /><br /><span class="pg">[p. 31]</span><br /><br />Always remember to mark one of the two boxes ("It Has" or "It Does Not Have") in the line corresponding to each appliance.<br /><br />The code space should be left blank, because it is for office use.<br /></svar> Costa Rica 1963: Private dwellings [discrepancies: none] This variable indicates if the respondent's dwelling has a stove or vacuum cleaner. 1 Has both 2 Stove yes, vacuum no 3 Stove no, vacuum yes 4 Neither 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Washing machine and water heater <svar v="CR63A023 CR63A024 CR63A025 CR63A026">12. Appliances in the dwelling<br /><div class="i1">(mark a box on each line)</div><br /></svar><div class="i1">Washing machine</div><div class="i2">[] 1 Has<br />[] 4 Does not have</div> <svar v="CR63A023 CR63A024 CR63A025 CR63A026" a="all"><span class="h3">Box No.12.- Appliances in the Dwelling</span><br /><br />Ask if in the Dwelling there are: radio, electric iron, electric stove, electric toothbrush, washer, water heater, television set and refrigerator. It does not matter that the radio, washer or television set are of batteries, or the refrigerator of kerosene, what is of interest is knowing if the family has these appliances or not.<br /><br />The water heater can be any type: from the simple appliance placed in the bath to heat the water to the complete heating system of water from all the pipes that there are in the Dwelling.<br /><br />If any of these appliances are in any way borrowed they should not be included.<br /><br /><span class="pg">[p. 31]</span><br /><br />Always remember to mark one of the two boxes ("It Has" or "It Does Not Have") in the line corresponding to each appliance.<br /><br />The code space should be left blank, because it is for office use.<br /></svar> Costa Rica 1963: Private dwellings [discrepancies: none] This variable indicates if the respondent's dwelling has a washing machine or water heater. 1 Has both 2 Washing machine yes, water heater no 3 Washing machine no, water heater yes 4 Neither 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Television and refrigerator <svar v="CR63A023 CR63A024 CR63A025 CR63A026">12. Appliances in the dwelling<br /><div class="i1">(mark a box on each line)</div><br /></svar><div class="i1">Television</div><div class="i2">[] 1 Has<br />[] 4 Does not have</div> <svar v="CR63A023 CR63A024 CR63A025 CR63A026" a="all"><span class="h3">Box No.12.- Appliances in the Dwelling</span><br /><br />Ask if in the Dwelling there are: radio, electric iron, electric stove, electric toothbrush, washer, water heater, television set and refrigerator. It does not matter that the radio, washer or television set are of batteries, or the refrigerator of kerosene, what is of interest is knowing if the family has these appliances or not.<br /><br />The water heater can be any type: from the simple appliance placed in the bath to heat the water to the complete heating system of water from all the pipes that there are in the Dwelling.<br /><br />If any of these appliances are in any way borrowed they should not be included.<br /><br /><span class="pg">[p. 31]</span><br /><br />Always remember to mark one of the two boxes ("It Has" or "It Does Not Have") in the line corresponding to each appliance.<br /><br />The code space should be left blank, because it is for office use.<br /></svar> Costa Rica 1963: Private dwellings [discrepancies: none] This variable indicates if the respondent's dwelling has a television or a refrigerator. 1 Has both 2 TV yes, refrigerator no 3 TV no, refrigerator yes 4 Neither 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Ownership 13. Tenure (occupied by:)</p> <div class="i1">(mark only one box)<br /><br />[] 1 Renter<br />[] 2 Owner<br />[] 9 Other</div> <svar v="CR63A027" a="all"><span class="h3">Box No. 13- Tenure (occupied by)</span><br /><br />Mark the box that corresponds according to if it is occupied by:<br /><br /><span class="em">Owner</span>: When a Dwelling belongs to one or more of its occupants.<br /><br /><span class="em">Renter</span>: When a Dwelling is occupied by one or more persons who pay an amount of money for inhabiting it.<br /><br /><span class="em">Other</span>: Include in this category Dwellings that are not occupied by "Owner" or "Tenant", agreeing with the two definitions above. For example: Dwellings ceded by family members, those occupied by pensioned or employees of a farm without paying rent for them, etc.<br /></svar> Costa Rica 1963: Private dwellings [discrepancies: none] This variable indicates the tenure type of the respondent's dwelling. 1 Renter 2 Owner 3 Other 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Monthly rent <svar v="CR63A028" a="all">14. Monthly rent<br /><div class="i1">(write on one line only)<br /><br />____ <span class="lang">colones</span> (exact) - renter -<br />____ <span class="lang">colones</span> (estimated) - owner -<br />____ <span class="lang">colones</span> (estimated) - other-</div><br /></svar> <svar v="CR63A028" a="all"><span class="h3">Box No. 14.- Monthly Rent</span><br /><br />When it is indicated that a Dwelling is found to be occupied by "renters", write down the amount of <span class="lang">colones</span> that are paid each month for rent. Write with clear numbers omitting "centimes", for example: if the rent is 140.50 write down only 140.00.<br /><br />If a dwelling is occupied by "Owner" or "Other", it is always necessary to write down the rent. In these you should ask how much the monthly rent is estimated to be or calculated to be; because of this in the space corresponding to these two cases it says "estimated". Possibly this information will be difficult to obtain because a person will refuse to give it; it will then be necessary to insist that it is obligatory to supply it and that it only will be used for statistical purposes. To attain answers faster, it is advisable to ask the question in this form: How much would you rent this house for? Or How much would you pay to inhabit this house? Or How much is the rent of a house like this one in this neighborhood?<br /><br />It is probable that in many of the cases that a Dwelling is occupied by "Owner" or "Other" they do not supply this information or they do not give it exactly; the enumerator should not strike up discussion with the person about it, but rather proceed in the following manner:<br /><br />a) If they do not give you the information, indicate it as such in "Observations", writing down there the number that you consider correct, in comparison with other information that you have obtained in the same neighborhood or hamlet.<br /><br /><span class="pg">[p. 32]</span><br /><br />b) If you realize that the person is giving you false information, write it down as such and how they give it to you. When finishing the interview, you will explain in observations that you do not believe the truthfulness of this information and you will write down the number that you estimate to be true agreeing with the experience that you have acquired for getting information from other Dwellings of the same place.<br /></svar> Costa Rica 1963: Private dwellings [discrepancies: none] This variable indicates the monthly rent in colones devided by 10 (all private households responded the question regardless of ownership. Home owners gave an estimate of what their rent would be). 000 5 or less 001 10 002 20 003 30 004 40 005 50 006 60 007 70 008 80 009 90 010 100 011 110 012 120 013 130 014 140 015 150 016 160 017 170 018 180 019 190 020 200 021 210 022 220 023 230 024 240 025 250 026 260 027 270 028 280 029 290 030 300 032 320 035 350 036 360 038 380 040 400 042 420 043 430 045 450 046 460 048 480 050 500 051 510 052 520 053 530 054 540 055 550 056 560 060 600 062 620 065 650 070 700 075 750 076 760 078 780 080 800 083 830 085 850 086 860 090 900 098 980 100 1000 108 1080 110 1100 116 1160 120 1200 130 1300 150 1500 160 1600 180 1800 200 2000 250 2500 300 3000 999 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Number of rooms and bedrooms <svar v="CR63A029 CR63A030" a="all">15. Rooms and bedrooms<br /><div class="i1">(write in both spaces)<br /><br />____ Number of rooms<br />____ Of these, how many are used as bedrooms?</div><br /></svar> <svar v="CR63A029 CR63A030" a="all"><span class="h3">Box No. 15.- Rooms and Bedrooms</span><br /><br /><span class="em">Rooms</span><br /><br />A "room" will be considered as any one of the compartments or rooms used for purposes of lodging, including: living room, dining room, kitchen, bed rooms, studies, recreation rooms, servants' quarters, but excluding: porches, hallways, bathrooms, inner patios, except when these last ones are used as recreation room, library or other purpose of lodging in which case they should be considered as "rooms".<br /><br />You should ask and write down the number of rooms according to the criteria explained above.<br /><br />Those compartments that are used <span class="em">exclusively</span> for commercial, industrial or service purposes, such as store, local store (<span class="lang">pulpería</span>), bar, workshop, barber shop etc. should not be considered rooms of a Dwelling.<br /><br /><span class="em">Bedrooms</span><br /><br />Bedroom is understood to be any room of a Dwelling that is used for sleeping.<br /><br />Keep in mind that in the explanation about "rooms" it said that those compartments used <span class="em">exclusively</span> for commercial, industrial or service purposes should not be considered. On the other hand, if in a Dwelling there is a place that is used as a workshop of a shoe store {a very frequent case) and at the same time someone sleeps in it, such a place should be considered as "room", and also so "bedroom".<br /></svar> Costa Rica 1963: Private dwellings [discrepancies: none] This variable indicates the number of rooms and bedrooms in the respondent's dwelling. 00 Unknown 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 23 23 29 29 31 31 + 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of bedrooms <svar v="CR63A029 CR63A030" a="all">15. Rooms and bedrooms<br /><div class="i1">(write in both spaces)<br /><br />____ Number of rooms<br />____ Of these, how many are used as bedrooms?</div><br /></svar> <svar v="CR63A029 CR63A030" a="all"><span class="h3">Box No. 15.- Rooms and Bedrooms</span><br /><br /><span class="em">Rooms</span><br /><br />A "room" will be considered as any one of the compartments or rooms used for purposes of lodging, including: living room, dining room, kitchen, bed rooms, studies, recreation rooms, servants' quarters, but excluding: porches, hallways, bathrooms, inner patios, except when these last ones are used as recreation room, library or other purpose of lodging in which case they should be considered as "rooms".<br /><br />You should ask and write down the number of rooms according to the criteria explained above.<br /><br />Those compartments that are used <span class="em">exclusively</span> for commercial, industrial or service purposes, such as store, local store (<span class="lang">pulpería</span>), bar, workshop, barber shop etc. should not be considered rooms of a Dwelling.<br /><br /><span class="em">Bedrooms</span><br /><br />Bedroom is understood to be any room of a Dwelling that is used for sleeping.<br /><br />Keep in mind that in the explanation about "rooms" it said that those compartments used <span class="em">exclusively</span> for commercial, industrial or service purposes should not be considered. On the other hand, if in a Dwelling there is a place that is used as a workshop of a shoe store {a very frequent case) and at the same time someone sleeps in it, such a place should be considered as "room", and also so "bedroom".<br /></svar> Costa Rica 1963: Private dwellings [discrepancies: none] This variable indicates the number of bedrooms in the respondent's dwelling. 00 Unknown 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 14 14 21 21 + 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of males in dwelling <svar v="CR63A031 CR63A032 CR63A033" a="all">16. Residents in this dwelling<br /><br /><div class="i1">____ Males<br />____ Females<br />____ Total</div><br /></svar> <svar v="CR63A031 CR63A032 CR63A033" a="all"><span class="h3">Box No. 16.- Residents In This Dwelling</span><br /><br />Ask how many persons reside in the Dwelling and write down the information broken down by sex.<br /><br />Subsequently, when you have finished filling out the Population Form, you should count the number of men and women that you have written down in it and compare this information with what you wrote down in the Dwelling Form with the purpose of being sure of the complete enumeration.<br /></svar> Costa Rica 1963: All households This variable indicates the number of male residents in the respondent's dwelling. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 27 27 28 28 29 29 30 30 31 31 32 32 33 33 35 35 36 36 38 38 40 40 41 41 45 45 47 47 48 48 49 49 50 50 51 51 52 52 53 53 59 59 61 61 62 62 63 63 67 67 72 72 73 73 77 77 78 78 81 81 83 83 84 84 85 85 87 87 89 89 90 90 92 92 94 94 98 98 99 99 + Other Household Variables -- HOUSEHOLD Number of females in dwelling <svar v="CR63A031 CR63A032 CR63A033" a="all">16. Residents in this dwelling<br /><br /><div class="i1">____ Males<br />____ Females<br />____ Total</div><br /></svar> <svar v="CR63A031 CR63A032 CR63A033" a="all"><span class="h3">Box No. 16.- Residents In This Dwelling</span><br /><br />Ask how many persons reside in the Dwelling and write down the information broken down by sex.<br /><br />Subsequently, when you have finished filling out the Population Form, you should count the number of men and women that you have written down in it and compare this information with what you wrote down in the Dwelling Form with the purpose of being sure of the complete enumeration.<br /></svar> Costa Rica 1963: All households This variable indicates the number of female residents in the respondent's dwelling. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 30 30 31 31 32 32 36 36 37 37 38 38 40 40 42 42 43 43 45 45 46 46 47 47 49 49 50 50 51 51 54 54 58 58 59 59 60 60 61 61 64 64 65 65 66 66 71 71 82 82 83 83 85 85 88 88 91 91 94 94 99 99 + Other Household Variables -- HOUSEHOLD Total persons in dwelling <svar v="CR63A031 CR63A032 CR63A033" a="all">16. Residents in this dwelling<br /><br /><div class="i1">____ Males<br />____ Females<br />____ Total</div><br /></svar> <svar v="CR63A031 CR63A032 CR63A033" a="all"><span class="h3">Box No. 16.- Residents In This Dwelling</span><br /><br />Ask how many persons reside in the Dwelling and write down the information broken down by sex.<br /><br />Subsequently, when you have finished filling out the Population Form, you should count the number of men and women that you have written down in it and compare this information with what you wrote down in the Dwelling Form with the purpose of being sure of the complete enumeration.<br /></svar> Costa Rica 1963: All households This variable indicates the total number of residents (both male and female) in the respondent's 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 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 44 44 45 45 48 48 49 49 50 50 51 51 52 52 53 53 55 55 59 59 60 60 61 61 62 62 64 64 66 66 67 67 71 71 72 72 75 75 77 77 78 78 82 82 84 84 85 85 87 87 91 91 92 92 94 94 99 99 + Other Household Variables -- HOUSEHOLD Strata Costa Rica 1963: 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: A-E Variables -- HOUSEHOLD Person number PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database. PERNUM is a 4-digit numeric variable. Technical Person Variables -- PERSON Person weight PERWT indicates the number of persons in the actual population represented by the person in the sample. For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population. NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Person Variables -- PERSON Relationship to household head [general version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown Demographic Variables -- PERSON Relationship to household head [detailed version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1000 Head 2000 Spouse/partner 2100 Spouse 2200 Unmarried partner 2210 Civil union 2300 Same-sex spouse/partner 3000 Child 3100 Biological child 3200 Adopted child 3300 Stepchild 3400 Child/child-in-law 3500 Child/child-in-law/grandchild 3600 Child of unmarried partner 4000 Other relative 4100 Grandchild 4110 Grandchild or great grandchild 4120 Great grandchild 4130 Great-great grandchild 4200 Parent/parent-in-law 4210 Parent 4211 Stepparent 4220 Parent-in-law 4300 Child-in-law 4301 Daughter-in-law 4302 Spouse/partner of child 4310 Unmarried partner of child 4400 Sibling/sibling-in-law 4410 Sibling 4420 Stepsibling 4430 Sibling-in-law 4431 Sibling of spouse/partner 4432 Spouse/partner of sibling 4500 Grandparent 4510 Great grandparent 4600 Parent/grandparent/ascendant 4700 Aunt/uncle 4800 Other specified relative 4810 Nephew/niece 4820 Cousin 4830 Sibling's sibling-in-law 4900 Other relative, not elsewhere classified 4910 Other relative with same family name 4920 Other relative with different family name 4930 Other relative, not specified (secondary family) 5000 Non-relative 5100 Friend/guest/visitor/partner 5110 Partner/friend 5111 Friend 5112 Partner/roommate 5113 Housemate/roommate 5120 Visitor 5130 Ex-spouse 5140 Godparent 5150 Godchild 5200 Employee 5210 Domestic employee 5220 Relative of employee, n.s. 5221 Spouse of servant 5222 Child of servant 5223 Other relative of servant 5300 Roomer/boarder/lodger/foster child 5310 Boarder 5311 Boarder or guest 5320 Lodger 5330 Foster child 5340 Tutored/foster child 5350 Tutored child 5400 Employee, boarder, or guest 5500 Other specified non-relative 5510 Agregado 5520 Temporary resident, guest 5600 Group quarters 5610 Group quarters, non-inmates 5620 Institutional inmates 5900 Non-relative, n.e.c. 6000 Other relative or non-relative 9999 Unknown Demographic Variables -- PERSON Age AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. 000 Less than 1 year 001 1 year 002 2 years 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100+ 999 Not reported/missing Demographic Variables -- PERSON Age, grouped into intervals AGE2 gives computed years of age grouped into intervals. 01 0 to 4 02 5 to 9 03 10 to 14 04 15 to 19 05 0 to 5 06 6 to 10 07 10 to 15 08 11 to 14 09 15 to 17 10 16 to 19 11 18 to 24 12 20 to 24 13 25 to 29 14 30 to 34 15 35 to 39 16 40 to 44 17 45 to 49 18 50 to 54 19 55 to 59 20 60 to 64 21 65 to 69 22 70 to 74 23 75 to 79 24 80 to 84 25 85+ 98 Unknown Demographic Variables -- PERSON Sex SEX reports the sex (gender) of the respondent. 1 Male 2 Female 9 Unknown Demographic Variables -- PERSON Marital status [general version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 0 NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing Demographic Variables -- PERSON Marital status [detailed version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 000 NIU (not in universe) 100 Single/never married 110 Engaged 111 Never married and never cohabited 200 Married or consensual union 210 Married, formally 211 Married, civil 212 Married, religious 213 Married, civil and religious 214 Married, civil or religious 215 Married, traditional/customary 216 Married, monogamous 217 Married, polygamous 219 Married, spouse absent (historical samples) 220 Consensual union 300 Separated/divorced/spouse absent 310 Separated or divorced 320 Separated or annulled 330 Separated 331 Separated legally 332 Separated de facto 333 Separated from marriage 334 Separated from consensual union 335 Separated from consensual union or marriage 340 Annulled 350 Divorced 400 Widowed 410 Widowed or divorced 411 Widowed from consensual union or marriage 412 Widowed from marriage 413 Widowed from consensual union 420 Widowed, divorced, or separated 999 Unknown/missing Demographic Variables -- PERSON Consensual union CONSENS indicates whether the respondent was in a consensual union -- a de facto marriage. 1 Yes, in consensual union 2 No, married 8 Unknown 9 NIU (not in universe) Demographic Variables -- PERSON 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 Citizenship CITIZEN indicates the person's citizenship status within the country in which they were enumerated. 1 Citizen, not specified 2 Citizen by birth 3 Naturalized citizen 4 Not a citizen 5 Without citizenship, stateless 8 Unknown 9 NIU (not in universe) 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, Costa Rica; [Level1: consistent boundaries, GIS] BPL1_CR indicates the person's province of birth in Costa Rica. Birthplace province codes from BPL1_CR are compatible with codes from GEO1_CR. 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. 188001 San José 188002 Alajuela 188003 Cartago 188004 Heredia 188005 Guanacaste 188006 Puntarenas 188007 Limón 188097 Foreign country 188098 Unknown Nativity and Birthplace Variables -- PERSON Canton of birth, Costa Rica; [Level2: consistent boundaries, GIS] BPL2_CR indicates the person's canton of birth in Costa Rica. Birthplace canton codes from BPL2_CR are compatible with codes from GEO2_CR. 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. 188001001 San José 188001002 Desamparados 188001003 Pérez Zeledón 188001004 Goicoechea 188001005 Alajuelita 188001006 Aserrí, León Cortés 188001007 Curridabat 188001008 Tibás 188001009 Canton Vásquez de Coronado 188001010 Moravia 188001011 Escazú 188001012 Montes de Oca 188001013 Santa Ana 188001014 Puriscal, Turrubares 188001015 Mora 188001016 Tarrazú, Dota 188001017 Acosta 188002001 Alajuela 188002002 San Carlos 188002003 Grecia, Upala, Los Chiles, Guatuso 188002004 San Ramón, San Mateo 188002005 Naranjo 188002006 Palmares 188002007 Alfaro Ruíz, Valverde Vega 188002008 Póas 188002009 Atenas 188002010 Orotina 188003001 Cartago 188003002 La Unión 188003003 Jiménez, Turrialba 188003004 Canton Paraíso, Alvarado 188003005 Oreamuno 188003006 El Guarco 188004001 Heredia, Sarapiquí 188004002 San Rafael 188004003 Santo Domingo 188004004 Belén, Flores 188004005 Barva 188004006 Santa Bárbara 188004007 San Pablo 188004008 San Isidro 188005001 Nicoya, Bagaces, Nandayure, Hojancha 188005002 Liberia, La Cruz 188005003 Cañas, Abangares, Tilarán 188005004 Santa Cruz 188005005 Carrillo 188006001 Puntarenas, Garabito 188006002 Golfito, Coto Brus, Corredores 188006003 Buenos Aires 188006004 Aguirre, Parrita 188006005 Esparza, Montes de Oro 188006006 Osa 188007001 Pococi, Guácimo 188007002 Limón, Talamanca, Matina 188007003 Siquirres 188097097 Abroad 188098098 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, Costa Rica EDUCCR indicates the person's educational attainment in Costa Rica in terms of the level of schooling completed and the number of years completed at that level. 000 None 100 Preschool 200 Primary 201 Primary, 1 year 202 Primary, 2 years 203 Primary, 3 years 204 Primary, 4 years 205 Primary, 5 years 206 Primary, 6 years 300 Secondary 310 Academic and technical secondary 311 Academic and tech secondary, 1 year 312 Academic and tech secondary, 2 years 313 Academic and tech secondary, 3 years 314 Academic and tech secondary, 4 years 315 Academic and tech secondary, 5 years 316 Academic and tech secondary, 6 years 320 Academic 321 Academic secondary, 1 year 322 Academic secondary, 2 years 323 Academic secondary, 3 years 324 Academic secondary, 4 years 325 Academic secondary, 5 years 330 Technical 331 Technical secondary, 1 year 332 Technical secondary, 2 years 333 Technical secondary, 3 years 334 Technical secondary, 4 years 335 Technical secondary, 5 years 336 Technical secondary, 6 years 400 Post-secondary 410 Technical college, degree status unspecified 411 Technical college, 1 year 412 Technical college, 2 years 413 Technical college, 3 years 420 Technical college, no degree 421 Technical college, no degree, 1 year 422 Technical college, no degree, 2 years 423 Technical college, no degree, 3 years 430 Technical college, degree completed 432 Technical college, graduate, 2 years 433 Technical college, graduate, 3 years 440 University, degree status unspecified 441 University, 1 year 442 University, 2 years 443 University, 3 years 444 University, 4 years 445 University, 5 years 446 University, 6 years 447 University, 7 years 448 University, 8 years 449 University, 9 years 450 University, no degree 451 University, no degree, 1 year 452 University, no degree, 2 years 453 University, no degree, 3 years 454 University, no degree, 4 years 455 University, no degree, 5 years 456 University, no degree, 6 years 457 University, no degree, 7 years 458 University, no degree, 8 years 459 University, no degree, 9 years 460 University, degree completed 462 University graduate, 2 years 463 University graduate, 3 years 464 University graduate, 4 years 465 University graduate, 5 years 466 University graduate, 6 years 467 University graduate, 7 years 468 University graduate, 8 years 469 University graduate, 9 years 470 University graduate, unknown years 500 Special education 998 Unknown 999 NIU (not in universe) Education Variables -- PERSON Activity status (employment status) [general version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 0 NIU (not in universe) 1 Employed 2 Unemployed 3 Inactive 9 Unknown/missing Work Variables -- PERSON Activity status (employment status) [detailed version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 000 NIU (not in universe) 100 Employed, not specified 110 At work 111 At work, and 'student' 112 At work, and 'housework' 113 At work, and 'seeking work' 114 At work, and 'retired' 115 At work, and 'no work' 116 At work, and other situation 117 At work, family holding, not specified 118 At work, family holding, not agricultural 119 At work, family holding, agricultural 120 Have job, not at work in reference period 130 Armed forces 131 Armed forces, at work 132 Armed forces, not at work in reference period 133 Military trainee 140 Marginally employed 200 Unemployed, not specified 201 Unemployed 6 or more months 202 Worked fewer than 6 months, permanent job 203 Worked fewer than 6 months, temporary job 210 Unemployed, experienced worker 220 Unemployed, new worker 230 No work available 240 Inactive unemployed 300 Inactive (not in labor force) 301 Unavailable jobseekers 302 Available potential jobseekers 310 Housework 320 Health reasons, unable to work, or disabled 321 Permanent disability 322 Temporary illness 323 Disabled or imprisoned 330 In school 340 Retirees and living on rent 341 Living on rents 342 Living on rents or pension 343 Retirees/pensioners 344 Retired 345 Pensioner 346 Non-retirement pension 347 Disability pension 348 Retired without benefits 350 Elderly 351 Elderly or disabled 360 Institutionalized 361 Prisoner 370 Intermittent worker 371 Not working, seasonal worker 372 Not working, occasional worker 380 Other income recipient 390 Inactive, other reasons 391 Too young to work 392 Dependent 999 Unknown/missing Work Variables -- PERSON Labor force participation LABFORCE is a dichotomous variable identifying whether a person participated in the labor force. Labor force participation generally means working or seeking work within a specified reference period. For most samples LABFORCE is a recode of EMPSTAT (employment status). A consistent lower age universe of 15 or older has been applied to increase comparability across samples. Full detail is retained in EMPSTAT, which should be used for any study of child labor. 1 No, not in the labor force 2 Yes, in the labor force 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON 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 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 Country of previous residence MIGCTRYP indicates the country of previous residence of international migrants. Persons who never lived abroad are coded to the "non-migrant" category. 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, n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12100 Sao Tome and Principe 12999 Middle Africa, n.s. 13000 Northern Africa 13010 Algeria 13020 Egypt/United Arab Rep. 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13990 Northern Africa, n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15150 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 15160 Sierra Leone 15170 Togo 19999 Africa, 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 and the Grenadines 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21999 Caribbean, 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, 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 23990 South America, n.s. 23991 Central and Latin America 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 Saint Pierre and Miquelon 24050 United States 24051 U.S. Outlying Areas and Territories 24999 U.S.A, Canada, Mexico 29999 Americas, 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 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 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33061 Malaysia and Singapore 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 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 34190 Middle East, not specified 34191 Arabia 34199 Gulf countries 39999 Asia, n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Albania/Bulgaria/Romania 41030 Czech Republic 41031 Czechoslovakia/Yugoslavia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41999 Eastern Europe, n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42110 Sweden 42120 United Kingdom 42199 Scandinavia 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia 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 Serbia and Montenegro 43999 Southern Europe, n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxemburg 44022 Benelux (Belgium/Netherlands/Luxemburg) 44030 France 44040 Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 49990 Europe, n.s. 49991 Central and Eastern Europe 49992 European Union 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51021 New Zealand/New Guinea 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) 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53999 Micronesia, n.e.c. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Samoa 54060 Tokelau 54070 Tonga 54080 Tuvalu 54090 Wallis and Futuna Isls. 59999 Oceania, n.s. 60000 Other 60010 Europe, Australia, New Zealand 60020 Asia and Oceania, n.s. 90000 Non-migrants (International) 99998 Response suppressed 99999 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, Costa Rica; consistent boundaries, GIS MIG1_P_CR indicates the person's province of previous residence. Migration province codes from MIG1_P_CR are compatible with codes from GEO1_CR. 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. 188001 San José 188002 Alajuela 188003 Cartago 188004 Heredia 188005 Guanacaste 188006 Puntarenas 188007 Limón 188097 Foreign country 188098 Unknown Migration: A-E Variables -- PERSON Canton of previous residence, Costa Rica; consistent boundaries, GIS MIG2_P_CR indicates the person's canton of previous residence within Costa Rica. Migration canton codes from MIG2_P_CR are compatible with codes from GEO2_CR. 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. 188001001 San José 188001002 Desamparados 188001003 Pérez Zeledón 188001004 Goicoechea 188001005 Alajuelita 188001006 Aserrí, León Cortés 188001007 Curridabat 188001008 Tibás 188001009 Canton Vásquez de Coronado 188001010 Moravia 188001011 Escazú 188001012 Montes de Oca 188001013 Santa Ana 188001014 Puriscal, Turrubares 188001015 Mora 188001016 Tarrazú, Dota 188001017 Acosta 188002001 Alajuela 188002002 San Carlos 188002003 Grecia, Upala, Los Chiles, Guatuso 188002004 San Ramón, San Mateo 188002005 Naranjo 188002006 Palmares 188002007 Alfaro Ruíz, Valverde Vega 188002008 Póas 188002009 Atenas 188002010 Orotina 188003001 Cartago 188003002 La Unión 188003003 Jiménez, Turrialba 188003004 Canton Paraíso, Alvarado 188003005 Oreamuno 188003006 El Guarco 188004001 Heredia, Sarapiquí 188004002 San Rafael 188004003 Santo Domingo 188004004 Belén, Flores 188004005 Barva 188004006 Santa Bárbara 188004007 San Pablo 188004008 San Isidro 188005001 Nicoya, Bagaces, Nandayure, Hojancha 188005002 Liberia, La Cruz 188005003 Cañas, Abangares, Tilarán 188005004 Santa Cruz 188005005 Carrillo 188006001 Puntarenas, Garabito 188006002 Golfito, Coto Brus, Corredores 188006003 Buenos Aires 188006004 Aguirre, Parrita 188006005 Esparza, Montes de Oro 188006006 Osa 188007001 Pococi, Guácimo 188007002 Limón, Talamanca, Matina 188007003 Siquirres 188097097 Abroad 188098098 Unknown Migration: A-E Variables -- PERSON Person number Costa Rica 1963: All persons This variable indicates person number within the household. 0 0 1 1 Technical Person Variables -- PERSON Person sequence number Costa Rica 1963: All persons This variable indicates the person number [within the dwelling]. 0 Unknown 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 Technical Person Variables -- PERSON Relationship to head of household 2. Relationship to head. Mark the appropriate box according to the relationship the person has to the Head of the "Census Family" or with the head of the "Non-family Group." Remember to specify the relationship when using the blank in "other."</p> <div class="i1">[] 1 Head<br />[] 2 Wife<br />[] 3 Companion<br />[] 4 Son or daughter<br />[] 9 Other (specify) ____</div> <svar v="CR63A432" a="all"><span class="em">Line No. 2.- Relation With The Head </span><br /><br />Mark the corresponding box according to the tie or relation of each person with the Head of the Census Home.<br /><br />If a person is the spouse, companion, son or daughter of the Head of the Census Family, you should mark the box that corresponds. When a tie or relation is none of these, use the space "Others" and specify the relation, writing down for example: uncle, mother-in-law, son-in-law, granddaughter, nephew, father, grandfather, brother, servant, lodger, son of servant, etc.<br /><br />In the case of Non Family Groups, write down in the space "Others" the word that best describes the position of every person within the group: for example: superintendent, lieutenant, pensioned, prisoner, patient, etc. Whatever doubt that arises you should write down in "Observations".<br /></svar> Costa Rica 1963: All persons This variable indicates the respondent's relationship to the head of the household. 0 Collective 1 Head 2 Spouse 3 Partner 4 Child 5 Servants and their relatives 6 Temporary residents, guests 9 Other Demographic Variables -- PERSON Sex 3. Sex <br />Mark the appropriate box</p> <div class="i1">[] 1 Male<br />[] 2 Female</div> <svar v="CR63A433" a="all"><span class="em">Line No. 3.- Sex</span><br /><br />Mark the corresponding box. Ask the question if the name is not sufficient to determine the sex and can be, in many cases, applied to men or women; examples: Rosario, Carmen, Concepción, etc.<br /></svar> Costa Rica 1963: All persons This variable indicates the gender of the respondent. 1 Male 2 Female Demographic Variables -- PERSON Marital status 5. Marital Status</p> <div class="i1">Mark only one box<br /><br />Single: one who has never contracted matrimony and does not live in a consensual union<br /><br />Married: one who has contracted matrimony and lives in that estate<br /><br />Widowed: one who has not contracted matrimony since the death of a spouse and who does not live in a consensual union<br /><br />Divorced: one who definitively undid a marital bond through legal means<br /><br />Consensual union: one who lives in a marital union without having contracted matrimony<br /><br />Married Separated: one who contracted matrimony and lives apart from the spouse</div><div class="i2">[] 1 Single<br />[] 2 Married<br />[] 3 Widowed<br />[] 4 Divorced<br />[] 5 Consensual union<br />[] 6 Married separated</div> <svar v="CR63A437" a="all"><span class="em">Line No. 5.- Marital State</span><br /><br />For this characteristic you should mark the box that corresponds to the definitions that appear in the form and which are commented on here.<br /><br />You should always write down the <span class="em">current</span> civil state; like for example: if a person has separated from their spouse and currently lives in "Free [consensual] Union" with another, you should classify them as "Free [consensual] Union" since that is the <span class="em">current</span> state.<br /><br /><span class="em">Single</span>: is one who never has married, except those who live in "Free [consensual] Union".<br /><br /><span class="em">Married</span>: is one who is legally married and lives in this state.<br /><br /><span class="em">Widow</span>: is one who has not married again after the death of their spouse, nor lives in "Free Union" at the moment of the Census.<br /><br /><span class="pg">[p. 45]</span><br /><br />If a person has married again or lives in "Free Union", you should indicate the current civil state.<br /><br /><span class="em">Divorced</span>: one who has broken their matrimonial ties in a definite form through legal means, and also has not married again or lives in "Free Union".<br /><br /><span class="em">Consensual Union</span>: It is said that a couple lies in "Free Union" when without any marital ties existing that bind them, the members constitute alone or with other family members, a well defined family. This is a delicate aspect and you should proceed with tact and very gently in the interview, avoiding discussions or expressions that could spoil the success of your job.<br /><br /><span class="em">Married Separated</span>: is one who has separated from their spouse and does not live in free union. The separation can be de facto or separation <span class="lang">"de cuerpos"</span> declared by competent authority. It should not be confused with divorce, which is a total and definitive separation.<br /><br />Keep in mind that the previous concepts are mutually exclusive and that therefore, <span class="em">you should mark only one box</span> for each person.<br /><br />When it is possible, the enumerator should abstain from suggesting the response of the person, over all in the case of Divorced, Married Separated, and Free Union; so you will avoid an unfavorable atmosphere when the person is very sensitive in this sense. Some times the person does not give this information in a truthful form, principally in some of the cases cited before; so for example, they say that they are married and in reality they live in Free Union. In many of these cases, the enumerator will realize the falseness of the information in the course of the interview, but you should never insist in this matter; when this happens you should explain it in the space for "Observations", and write down there the information that you consider correct. You should be careful to do it later after you have finished the interview, to avoid displeasure or resentment of the person.<br /></svar> Costa Rica 1963: Persons age 12 + [discrepancies: none] This variable indicates the marital status of the respondent. 1 Single 2 Married 3 Widowed 4 Divorced 5 Consensual union 6 Separated 9 NIU (not in universe) Demographic Variables -- PERSON Years of residence in current Canton <svar v="CR63A438 CR63A439 CR63A440 CR63A441" a="all">Migration:<br /></svar></p> <p><svar v="CR63A438" a="all">6. How long have you lived in this canton?<br /><div class="i1">Mark the box "always" if the person has only lived in this canton. Otherwise write the number of years.<br /><br />[] Always<br />____ Number of years</div><br /></svar> <svar v="CR63A438" a="all"><span class="em">Line No. 6.-How long have you lived in this canton?</span><br /><br />Ask the question and write down the response in the corresponding space.<br /><br />When a person has resided always in the same <span class="em">place</span> in which you are interviewing them, simply mark with an "X" the box "Always"; in the contrary case, write down the number of completed years that they have resided in the canton. When a person has not resided a complete year in the canton, write "<span class="em">Less than 1</span>" in the space that says: "No. of years".<br /></svar> Costa Rica 1963: All persons This variable indicates the number of years the respondent has lived in her current county [canton] of residence. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 77 77 80 80 85 85 92 92 98 Always lived in current canton 99 Unknown Migration: Global Variables -- PERSON Province of prior residence <svar v="CR63A438 CR63A439 CR63A440 CR63A441" a="all">Migration:<br /></svar></p> <p><svar v="CR63A439 CR63A456" a="all">7. In which canton did you live previously?<br /><div class="i1">Mark an "X" if the person has only lived in this canton. Otherwise write the canton or the country of previous residence.<br /><br />____</div><br /></svar> Costa Rica 1963: All persons This variable indicates the province of prior residence of the respondent. 1 San José 2 Alajuela 3 Cartago 4 Heredia 5 Guanacaste 6 Puntarenas 7 Limón 8 Resided abroad and unknown 9 Unknown Migration: Global Variables -- PERSON Canton or country of prior residence <svar v="CR63A438 CR63A439 CR63A440 CR63A441" a="all">Migration:<br /></svar></p> <p><svar v="CR63A439 CR63A456" a="all">7. In which canton did you live previously?<br /><div class="i1">Mark an "X" if the person has only lived in this canton. Otherwise write the canton or the country of previous residence.<br /><br />____</div><br /></svar> <svar v="CR63A439" a="all"><span class="em">Line No. 7.- In which canton did you live previously?</span><br /><br />When you have marked the box "Always" in question No. 6, do not ask this question No. 7 and mark an "X" in the space meant for writing down the response.<br /><br /><span class="pg">[p. 46]</span><br /><br />If a person has not always resided in the same place, ask and write down the name of the <span class="em">Canton</span> where they resided before settling down in the current place of residence, or where you are interviewing them.<br /><br />If the person does not know the name of the canton, write down the neighborhood, hamlet district and province.<br /><br />If a person resided before <span class="em">abroad</span> write down the name of the country.<br /></svar> Costa Rica 1963: All persons This variable indicates the respondent's county [canton] or country of prior residence. 101 San José 102 Escazú 103 Desamparados 104 Puriscal 105 Tarrazú 106 Asarrí 107 Mora 108 Goicochea 109 Santa Ana 110 Alajuelita 111 Coronado 112 Acosta 113 Tibás 114 Morovia 115 Montes de Oca 116 Turrubares 117 Dota 118 Cirridabat 119 Pérez Zeledón 120 León Cortés 201 Alajuela 202 San Ramón 203 Grecia 204 San Mateo 205 Atenas 206 Naranjo 207 Palmeras 208 Poás 209 Orotina 210 San Carlos 211 Alfaro Ruiz 212 Valverde Vega 301 Cartago 302 Paraíso 303 La Unión 304 Jiménez 305 Turrialba 306 Alvarado 307 Oreamuno 308 El Guarco 401 Heredia 402 Barba 403 Santo Domingo 404 Santa Bárbara 405 San Rafael 406 San Isidro 407 Belén 408 Flores 409 San Pablo 501 Liberia 502 Nicoya 503 Santa Cruz 504 Bagaces 505 Carrillo 506 Cañas 507 Abangares 508 Tilarán 509 Nandayure 601 Puntarenas 602 Esparta 603 Buenos Aires 604 Montes de Oro 605 Osa 606 Aguirre 607 Golfito 701 Limón 702 Pocicí 703 Siquirres 801 Argentina 802 Bolivia 803 Brasil 805 Canada 806 Colombia 807 Cuba 810 Ecuador 811 El Salvador 812 United States 813 Guatemala 815 Honduras 816 Jamaica 817 Mexico 819 Nicaragua 820 Panama 821 Paraguay 822 Peru 829 Venezuela 831 Germany 832 Austria 841 France 844 Netherlands 849 Italy 853 Poland 856 Great Britain 857 Romania 859 Switzerland 861 Soviet Union 863 Yugoslavia 869 China 877 Japan 879 Lebanon 999 Unknown Migration: Global Variables -- PERSON Province of birth <svar v=" CR63A440 CR63A457" a="all">8. Place of birth.<br /><div class="i1">Mark an "X" if the person's mother lived in this place at the time of the person's birth. If the mother lived in another canton write the canton. If the mother lived abroad write the country.<br /><br />____</div><br /></svar> <svar v="CR63A440 CR63A457" a="all"><span class="em">Line No. 8.- Place of birth</span><br /><br />By means of this question, knowing in which place the family of each person resided at their birth is desired to be known. One should not simply ask for the place of birth, because the majority of persons were born in hospitals, clinics, etc., that, generally, are not in the same place where the family resided. Because of this you should inquire about <span class="em">the place in which the mother of each person resided</span> and make the annotation that corresponds agreeing with the following:<br /><br />1) If when the person whose information you are writing down was born, the mother resided in the same canton in which the person resides now (that is, in the canton where being interviewed), you should simply mark an "X".<br /><br />2) If the mother resided in another canton, write down the name of the canton, and when you cannot get the name of the canton, write down the neighborhood, hamlet, district and province.<br /><br />3) If the mother resided abroad, write down the name of the country. It is necessary to take into account that these three questions (6, 7 and 8) are intimately related to each other, and also there should exist compatibility between the responses that are written down about the different people in the same group; that is to say that the enumerator should take the necessary care so that there are no contradictions in the responses written down, over all when relating the information of one member of the family with the information of others.<br /><br />Some times these three questions get different responses for each person, but there are cases in which they have to be the same; such as for example, supposing that all members of a Census Family that you are enumerating, were born and have lived in the same canton, it will result that all the responses to be written down in these questions are equal, since, according to what was explained, the annotation in these cases is an "X" in each one of the spaces. Nevertheless, this situation can vary for the whole family or for some of its members, and then complications will arise. At times it will result that members were born in different cantons, have lived in different cantons and have different years of residing in the canton in which you are enumerating them; it is here when the enumerator should be very careful to avoid contradictions in the information that is written down.<br /><br /><span class="pg">[p. 47]</span><br /><br />These observations will be amplified in the period of direct instruction, since expounding here about what constitutes the complications that arise with these three questions when doing the enumeration and how one should proceed to avoid errors may be very complex.<br /></svar> Costa Rica 1963: All persons This variable indicates the province of birth of the respondent. 1 San José 2 Alajuela 3 Cartago 4 Heredia 5 Guanacaste 6 Puntarenas 7 Limón 8 Born abroad and unknown 9 Unknown Nativity and Birthplace Variables -- PERSON Nationality <svar v="CR63A438 CR63A439 CR63A440 CR63A441" a="all">Migration:<br /></svar></p> <p><svar v="CR63A441" a="all">9. Nationality<br /><div class="i1">Mark and "X" if Costa Rican by birth and "NX" if Costa Rican by naturalization. If foreign, write the appropriate nationality.<br /><br />____</div><br /></svar> <svar v="CR63A441" a="all"><span class="em">Line No. 9.- Nationality</span><br /><br />Ask the question and write down the annotation according to the following:<br /><br />1) If one is Costa Rican <span class="em">by birth</span>, write down an "X".<br /><br />2) If one is a naturalized Costa Rican, write down "NX".<br /><br />3) If one is a foreigner, write down the nationality that the person reports. If a person has more than one nationality, write down the one corresponding to the country of birth.<br /></svar> Costa Rica 1963: All persons This variable indicates the respondent's nationality (country name). 01 Argentina 02 Bolivia 03 Brazil 05 Canada 06 Colombia 07 Cuba 09 Chile 10 Ecuador 11 El Salvador 12 United States 13 Guatemala 15 Honduras 16 Jamaica 17 Mexico 19 Nicaragua 20 Panama 21 Paraguay 22 Peru 24 Dominican Republic 29 Venezuela 31 Germany 32 Austria 33 Belgium 38 Spain 41 French 44 Netherlands 45 Hungary 49 Italy 53 Poland 56 Great Britain 60 Other European Nations 63 Yugoslavia 69 China 75 Israel 79 Lebanon 97 Costa Rica, by birth 98 Costa Rica, naturalized 99 Unknown Nativity and Birthplace Variables -- PERSON Social Security availability <svar v="CR63A442" a="all">10. Social security<br /><div class="i1">Mark the appropriate box according to whether the person is protected or not, directly or indirectly, by the social security.<br /><br />[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v="CR63A442" a="all"><span class="em">Line No. 10.- Social Security</span><br /><br />This question should be asked also <span class="em">to all persons</span>. By means of it, what is to be known is the size and the location of the population that enjoys the protection of Social Security, <span class="em">through any of its regimes</span>, such as Sickness and Maternity, Seniority, Handicap and Death; and in direct (direct insurance) or indirect (indirect or family insurance). The enumerator should be careful to ask if the Head of Family or the spouse has family insurance, in which case all children less then 18 years old will be protected by Social Security, it should be marked, for them, the box "Yes".<br /><br />Also you should mark the corresponding box according to whether the person is protected or not in direct or indirect form, by any regime of Social Security.<br /><br />Take into account that here <span class="em">Social Security</span> is discussed or that is that administration of the Costa Rican Social Security Fund. Those who administer the National Institute of Security are "Individual Insurances:", and are not thought of in this question.<br /></svar> Costa Rica 1963: All persons This variable indicates whether the respondent has social security. 1 Yes 2 No Income Variables -- PERSON Currently attending regular education institution <span class="h2">Educational Characteristics</span> <br /><svar v="CR63A443 CR63A444 CR63A445 CR63A446">Only for those 7 years of age and older [applies to questions 11 to 13]<br /></svar></p> <p><svar v="CR63A443 CR63A444" a="all">11. Currently attending<br /><div class="i1">Ask both questions.<br /><br />Are you currently attending school, high school or university?</div><br /><div class="i2">[] 1 Yes<br />[] 2 No</div><br /><div class="i1">Are you currently attending other educational institutions (specify: vocational school, business school, etc.)</div><br /><div class="i2">____ [] 1</div><br /></svar> <svar v="CR63A443 CR63A444 CR63A445 CR63A446"><span class="h2">Educational Characteristics </span><br /><br />Ask these questions only to persons seven years old or older.<br /><br />When filling about these lines it is convenient to consult the age (line 4), so that compatibility exists in the responses.<br /><br />For Census purposes, "regular education" will be understood to be that which persons receive in primary school, secondary schools, and universities.<br /><br /><span class="pg">[p. 48]</span><br /><br />Normal schools are considered university level.<br /></svar></p> <p><svar v="CR63A443 CR63A444" a="all"><span class="em">Line 11.- Do you attend currently</span><br /><br /><span class="em">Primary school, Secondary school or University?</span><br /><br />Mark the box "Yes", when a person 7 years old or older, attended, for at least one day during the month of March, a center of regular education, and the box "No" in the contrary case.<br /><br /><span class="em">Other Centers of Education</span><br /><br />If a person attended at least one day of the month of March in any center of education, write down the type of center: commercial school, vocational school, language school, etc. If a person did not attend one of these centers, simply write "No".<br /></svar> Costa Rica 1963: Persons age 7+ [discrepancies: type I: trace, type II: none] This variable indicates whether the respondent attends a regular educational institution. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Currently attending other educational institutions <span class="h2">Educational Characteristics</span> <br /><svar v="CR63A443 CR63A444 CR63A445 CR63A446">Only for those 7 years of age and older [applies to questions 11 to 13]<br /></svar></p> <p><svar v="CR63A443 CR63A444" a="all">11. Currently attending<br /><div class="i1">Ask both questions.<br /><br />Are you currently attending school, high school or university?</div><br /><div class="i2">[] 1 Yes<br />[] 2 No</div><br /><div class="i1">Are you currently attending other educational institutions (specify: vocational school, business school, etc.)</div><br /><div class="i2">____ [] 1</div><br /></svar> <svar v="CR63A443 CR63A444 CR63A445 CR63A446"><span class="h2">Educational Characteristics </span><br /><br />Ask these questions only to persons seven years old or older.<br /><br />When filling about these lines it is convenient to consult the age (line 4), so that compatibility exists in the responses.<br /><br />For Census purposes, "regular education" will be understood to be that which persons receive in primary school, secondary schools, and universities.<br /><br /><span class="pg">[p. 48]</span><br /><br />Normal schools are considered university level.<br /></svar></p> <p><svar v="CR63A443 CR63A444" a="all"><span class="em">Line 11.- Do you attend currently</span><br /><br /><span class="em">Primary school, Secondary school or University?</span><br /><br />Mark the box "Yes", when a person 7 years old or older, attended, for at least one day during the month of March, a center of regular education, and the box "No" in the contrary case.<br /><br /><span class="em">Other Centers of Education</span><br /><br />If a person attended at least one day of the month of March in any center of education, write down the type of center: commercial school, vocational school, language school, etc. If a person did not attend one of these centers, simply write "No".<br /></svar> Costa Rica 1963: Persons age 7+ [discrepancies: type I: trace, type II: none] This variable indicates whether the respondent attends other educational institutions. 0 NIU (not in universe) 1 No 2 Agricultural 3 Art 4 Commercial 5 Languages 6 Vocational 9 Other Education Variables -- PERSON Educational attainment <span class="h2">Educational Characteristics</span> <br /><svar v="CR63A443 CR63A444 CR63A445 CR63A446">Only for those 7 years of age and older [applies to questions 11 to 13]<br /></svar></p> <p><svar v="CR63A445" a="all">12. Last grade or year completed:<br /><div class="i1">Write the number of the grade or year on the appropriate line. Mark the box "04" if the person has not completed any grade.</div><br /><div class="i2">____ 1 Primary<br />____ 2 Secondary<br />____ 3 University<br />[] 04 No grade</div><br /></svar> <svar v="CR63A443 CR63A444 CR63A445 CR63A446"><span class="h2">Educational Characteristics </span><br /><br />Ask these questions only to persons seven years old or older.<br /><br />When filling about these lines it is convenient to consult the age (line 4), so that compatibility exists in the responses.<br /><br />For Census purposes, "regular education" will be understood to be that which persons receive in primary school, secondary schools, and universities.<br /><br /><span class="pg">[p. 48]</span><br /><br />Normal schools are considered university level.<br /></svar></p> <p><svar v="CR63A445" a="all"><span class="em">Line No. 12.- Last grade or year completed</span><br /><br />Like the previous question, this one should be asked only to persons 7 years old or older.<br />Write the number of the highest grade or year that a person has <span class="em">passed</span>. In this question it is necessary to insist a little, since, generally, a person tends to say the grade or year <span class="em">that the person is in</span>; while the last passed is what is to be known.<br /><br />You should write down the number of the grade or year in the corresponding line agreeing with the level of education. If a person does not remember the information exactly, but knows they attended primary school, secondary school or university, write down a "d" (which means unknown in the respective line.<br /><br />Many university students take subjects of different years, always write down the last year that they have <span class="em">completely passed</span>.<br /><br />In the case of university graduates, who although they are have not taken the exams to obtain their professional title, the last year passed should always be written down. If a person has a university degree (medical, law, or economy, etc.), write a "G" (which means <span class="em">graduated</span>) in the line that says "University".<br /><br />When a person <span class="em">has not passed</span> any grade, mark the box that has this name (No Grade); this box should be marked for two groups of persons, namely:<br /><br />1) Those being 7 or more years old, never have attended school.<br /><br />2) Children or any other person <span class="em">who is taking</span> first grade in primary education.<br /></svar> Costa Rica 1963: Persons age 7+ [discrepancies: type I: trace, type II: none] This variable indicates the highest year of education completed by the respondent (the first digit indicates the year and the second digit indicated the educational level). 00 NIU (not in universe) 01 No grade 11 1 year of primary 12 2 year of primary 13 3 year of primary 14 4 year of primary 15 5 year of primary 16 6 year of primary 21 1 year of secondary 22 2 year of secondary 23 3 year of secondary 24 4 year of secondary 25 5 year of secondary 31 1 year of university 32 2 year of university 33 3 year of university 34 4 year of university 35 5 year of university 36 6 year of university 38 8 year of univesity 40 University graduate year unknown 42 2 years, university graduate 43 3 years, university graduate 44 4 years, university graduate 45 5 years, university graduate 46 6 years, university graduate 47 7 years, university graduate 48 8 years, university graduate 49 9 years, university graduate 99 Unknown Education Variables -- PERSON Able to read and write <span class="h2">Educational Characteristics</span> <br /><svar v="CR63A443 CR63A444 CR63A445 CR63A446">Only for those 7 years of age and older [applies to questions 11 to 13]<br /></svar></p> <p><svar v="CR63A446" a="all">13. Able to read and write?<br /><div class="i1">Mark the appropriate box<br /><br />[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v="CR63A443 CR63A444 CR63A445 CR63A446"><span class="h2">Educational Characteristics </span><br /><br />Ask these questions only to persons seven years old or older.<br /><br />When filling about these lines it is convenient to consult the age (line 4), so that compatibility exists in the responses.<br /><br />For Census purposes, "regular education" will be understood to be that which persons receive in primary school, secondary schools, and universities.<br /><br /><span class="pg">[p. 48]</span><br /><br />Normal schools are considered university level.<br /></svar></p> <p><svar v="CR63A446" a="all"><span class="em">Line No. 13.- Do you know how to read and write?</span><br /><br />This question is included with the purpose of knowing the literacy and should be asked only for persons 7 years old or older.<br /><br />Mark the box "Yes" when a person can <span class="em">read and write</span> a simple paragraph in any language. The box "No" should be marked for four groups of persons, namely:<br /><br />1) Those who do not know how to read or write a simple paragraph<br /><br />2) Those who only know how to read.<br /><br />3) Those who only know how to sign and/or write their name, and<br /><br />4) Those who at one time knew how to read and write, put have forgotten it.<br /><br />In the case of persons who currently are taking classes in the second grade of primary education or any other higher grade, it is not necessary to ask the question; mark the box "Yes" automatically.<br /></svar> Costa Rica 1963: Persons age 7+ [discrepancies: type I: trace, type II: none] This variable indicates if the respondent is able to read and write. 0 NIU (not in universe) 1 Yes 2 No Education Variables -- PERSON Economic activity <span class="h2">Occupational Characteristics</span> <br /><svar v="CR63A447 CR63A448 CR63A449 CR63A450 CR63A451 CR63A452 CR63A453 CR63A454 CR63A455 ">Only for those 12 years of age and older [applies to questions 14 to 19]<br /></svar></p> <p><svar v="CR63A447" a="all">14. General classification - Mark the appropriate box<br /><br /><div class="i1">Employed: one who worked 6 days or more during the month of March 1963<br />Student: one who only studied during March 1963<br />Unemployed: one who did not work or worked fewer than 6 days in March 1963<br />Household duties: one who only did household work<br />Other: pensioner, retiree, rentier, beggar, insane, institutionalized, etc.</div><br /><br /><div class="i2">[] 1 Employed<br />[] 2 Student<br />[] 3 Unemployed<br />[] 4 Household duties<br />9 Other (specify) ____</div><br /></svar> <svar v="CR63A447 CR63A448 CR63A449 CR63A450 CR63A451 CR63A452 CR63A453 CR63A454 CR63A455" a="all"><span class="h2">Occupational Characteristics</span><br /><br />Ask these questions only to persons 12 years old or older.<br /><br />This part of the form joins many interesting aspects relative to the occupation of the individuals. By means of these six questions it will be able to be known where and in what the Costa Rican population works, how many are employees, employers or exclusively students; how many women work only in the house, and much more information.<br /><br />Logically to arrive at obtaining comparable information, all the enumerators should follow the norms and established definitions.<br /></svar></p> <p><svar v="CR63A447" a="all"><span class="em">Line No. 14.- General classification</span><br /><br />By means of the mark that you make in the appropriate box, the whole population will be classified, agreeing with its primary occupational characteristics.<br /><br />You should only mark one box for each person. Ask what a person does and then include it in the line that corresponds, according to the following definitions that are given:<br /><br /><span class="em">Employed</span>: is each person 12 years old or older who, during the reference period (March 1963), has worked for at least 6 days or work days. If they were absent from their job because of vacations, sickness, involuntary stoppage of work or strike, <span class="em">consider them as employed</span>. Take them as such, since by having worked an occupation they have received or not, directly or indirectly, a payment in cash, in kind, or in both forms.<br /><br /><span class="em">Student</span>: is any person 12 years old or older who is dedicated <span class="em">exclusively</span> to studying. If a person as well as studying, worked 6 or more days during the reference period (March 1963) <span class="em">consider them as "employed"</span>.<br /><br /><span class="em">Unemployed</span>: is all persons 12 years old or older <span class="em">capable of working</span> (that is to say, they worked before and look for work) not one who looked for it for the first time), who during the <span class="em">month of March 1963</span> did not work any occupation, for at least 6 days or work days.<br /><br />If a person12 years old or older, capable of working, worked less than 6 days or work days in the <span class="em">month of March</span>, write them down as "Unemployed".<br /><br />If a person 12 years old or older, capable of working, is not working <span class="em">on the date of the Census</span>, or when the enumerator interviews them, but worked for a space of 6 or more days or work days <span class="em">in the month of March</span>, they should be classified as "Employed", since this information does not refer to the date of the Census nor to the interview that the enumerator did, but rather that there is for them a period of reference: <span class="em">the month of March 1963</span>.<br /><br />Keep in mind that in this group also are included all persons, <span class="em">capable of working</span>, who did not work during the reference period; therefore do not include here the incapacitated (blind, paralytic, etc.), who do not work due to their physical condition, nor pensioners, who are included in another group.<br /><br /><span class="em">Domestic Craft</span>: In this group are included women 12 years old or older who dedicate their time to chores of the home and do not work any other occupation, except pensioners or retirees. Generally they are understood to be a mother or daughters, also any other relative who resides in the Dwelling.<br /><br />Servants and other employees are "Employed" and should be written down as such in the form.<br /><br /><span class="em">Other</span>: You should include in this group all persons 12 years old or older who are not included in the previous concepts. The persons referred to in this group are:<br /><br />a) <span class="em">Pensioner and retirees</span>; or that is those who live exclusively on a pension or retirement payments. They should always be written down even if they do domestics chores in their home.<br /><br /><span class="pg">[p. 51]</span><br /><br />b) <span class="em">Rentiers</span>; or those persons who draw investments from any origin and live exclusively from them. They should always be written down even if they do domestic labors in their home.<br /><br />c) <span class="em">Persons interned in institutions</span>; who are residents in jails, hospitals, convents, asylums, etc., <span class="em">permanently</span>. Temporary interned (or that is who are going to remain there less then a year) who have an occupation, which they are not doing because of being interned occasionally in the institution should not be included among these; such persons should be classified as "Employed".<br /><br /><span class="em">Other persons</span>; includes persons such as blind, beggars, paralytics, etc. always who do not have any occupation, nor are interned in institutions.<br /><br />When a person should be included in this group, it is necessary to specify, writing down that which corresponds to concepts a), b), c) and d).<br /></svar> Costa Rica 1963: Persons age 12+ [discrepancies: type I: none, type II: trace] This variable indicates the economic activity of the respondent. 0 NIU (not in universe) 1 Employed 2 Student 3 Unemployed 4 Household duties 5 Physically or mentally ill 6 Institutionalized/hospitalized 7 Pensioner 8 Rentier 9 Others Work Variables -- PERSON Principal occupation <span class="h2">Occupational Characteristics</span> <br /><svar v="CR63A447 CR63A448 CR63A449 CR63A450 CR63A451 CR63A452 CR63A453 CR63A454 CR63A455 ">Only for those 12 years of age and older [applies to questions 14 to 19]<br /></svar></p> <p><svar v="CR63A448 CR63A449 CR63A450 CR63A451 CR63A452 CR63A453 CR63A454">Items 15 - 18 are only for "employed" and "unemployed"<br /></svar></p> <p><svar v="CR63A448 CR63A449" a="all">15. Occupation<br /><div class="i1">Write the principal occupation during the month of March, 1963. If "unemployed" ask and write the last occupation. Examples: musician, doctor, teacher, agricultural laborer, lawyer, bricklayer, etc.<br /><br />____</div><br /></svar> <svar v="CR63A447 CR63A448 CR63A449 CR63A450 CR63A451 CR63A452 CR63A453 CR63A454 CR63A455" a="all"><span class="h2">Occupational Characteristics</span><br /><br />Ask these questions only to persons 12 years old or older.<br /><br />This part of the form joins many interesting aspects relative to the occupation of the individuals. By means of these six questions it will be able to be known where and in what the Costa Rican population works, how many are employees, employers or exclusively students; how many women work only in the house, and much more information.<br /><br />Logically to arrive at obtaining comparable information, all the enumerators should follow the norms and established definitions.<br /></svar></p> <p><svar v="CR63A448 CR63A449" a="all"><span class="em">Line No. 15.-Occupation</span><br /><br />Ask this question <span class="em">only</span> for "Employed" or "Unemployed".<br /><br />Write down in this space the word or expression that describes <span class="em">clearly</span> the nature of the job that a person did during the reference period (March 1963). When a person has had more than one job in this period ask and write down the principle one, or that is the one which reported the largest wages.<br /><br />Write down words and definitions that define the nature of the job in a precise form; for example: farm worker, carpenter's aid, street salesperson, civil engineer, lawyer, cashier, nurse, sanitary inspector, carpenter, mason, teacher.<br /><br />Avoid the use of generic terms such as: worker, aid, owner, day laborer, etc., which say nothing about nature or class of work that a person did during the period of reference, which is what is wanted.<br /><br />When it concerns "Unemployed", ask and write down the last occupation the person had, it does not matter how long ago it was.<br /><br />Keep in mind that here what you should write down is the <span class="em">occupation</span> and not profession. Of course, it can happen, and it is very frequent, that both (occupation and profession) coincide; but also it can happen that they do not; for example: it is common that doctors, engineers, lawyers, etc. work in the same profession; nevertheless also it is frequent that a Doctor is the <span class="em">Administrator</span> of a hospital, or an Engineer the <span class="em">Manager</span> of a company; cases in which the occupation of a person does not coincide with their profession.<br /><br /><span class="pg">[p. 52]</span><br /><br />It is evident that in the last two examples, the occupation of the doctor is "Administrator" and that of the engineer is "Manager". Because of this is, precisely, why the enumerator should ask for the <span class="em">occupation</span>, and in the case of professionals, insist more from the person to determine if the profession or occupation coincides, that is to say, if the doctor works as a doctor, the lawyer as a lawyer, engineer as engineer, etc.<br /></svar> Costa Rica 1963: Persons age 12+ who were employed or unemployed [discrepancies: type I: none, type II: trace] This variable indicates the principal occupation of the respondent. 00 Professional, technicians and related 01 Managers 02 Office workers 03 Vendors and related 04 Farmers, ranchers, and related 05 Miners and quarriers 06 Drivers 07 Artisans 08 Other artisans 09 Manual and day laborers 10 Personal services 11 Other workers 99 NIU (not in universe) Work: Occupation Variables -- PERSON Industry, 1 digit <span class="h2">Occupational Characteristics</span> <br /><svar v="CR63A447 CR63A448 CR63A449 CR63A450 CR63A451 CR63A452 CR63A453 CR63A454 CR63A455 ">Only for those 12 years of age and older [applies to questions 14 to 19]<br /></svar></p> <p><svar v="CR63A448 CR63A449 CR63A450 CR63A451 CR63A452 CR63A453 CR63A454">Items 15 - 18 are only for "employed" and "unemployed"<br /></svar></p> <p><svar v="CR63A450 CR63A451 CR63A452" a="all">16. Industry<br /><div class="i1">Write the type of company or activity in which the person works. Examples: Orchestra, doctor's office, government ministry, plantation, law office, construction, etc.<br /><br />____</div><br /></svar> <svar v="CR63A447 CR63A448 CR63A449 CR63A450 CR63A451 CR63A452 CR63A453 CR63A454 CR63A455" a="all"><span class="h2">Occupational Characteristics</span><br /><br />Ask these questions only to persons 12 years old or older.<br /><br />This part of the form joins many interesting aspects relative to the occupation of the individuals. By means of these six questions it will be able to be known where and in what the Costa Rican population works, how many are employees, employers or exclusively students; how many women work only in the house, and much more information.<br /><br />Logically to arrive at obtaining comparable information, all the enumerators should follow the norms and established definitions.<br /></svar></p> <p><svar v="CR63A450 CR63A451 CR63A452" a="all"><span class="em">Line No. 16.- Branch of activity [Industry]</span><br /><br />Ask this question only for the case of "Employed" and "Unemployed".<br /><br />This question is intimately related to the previous, you should write down the branch of activity that corresponds to the occupation written down in it, that is to say, the type of industry, business, institution, agricultural operation, public dependence, etc., in which the person did their occupation. Write down expressions like: car repairs, shoe factory, Ministry of Government Work, local store, bar, magistrate, hospital, bank, Ministry of Health, shoe store, pharmacy, etc. Here also you should avoid generic terms such as: workshop, factory, government, commercial establishment, etc., which say nothing about what is wanted to be known.<br /><br />When it concerns a commercial establishment, specify if it is "Wholesale" or "Retail".<br /><br />If a person works for a company that manages more than one activity, write down the one that you are informed is most important.<br /></svar> Costa Rica 1963: Persons age 12+ who were employed or unemployed [discrepancies: none] This variable indicates the industry (1 digit) where the respondent worked. 00 Agriculture, forestry, hunting, and fishing 01 Mines and quarries 02 Light Manufacturing industry 03 Heavy Manufacturing industry 04 Construction 05 Electric Gas Water and Garbage services 06 Commerce 07 Transportation and communications 08 Services 09 Not clearly specified 99 NIU (not in universe) Work: Industry Variables -- PERSON Industry, 2 digit <span class="h2">Occupational Characteristics</span> <br /><svar v="CR63A447 CR63A448 CR63A449 CR63A450 CR63A451 CR63A452 CR63A453 CR63A454 CR63A455 ">Only for those 12 years of age and older [applies to questions 14 to 19]<br /></svar></p> <p><svar v="CR63A448 CR63A449 CR63A450 CR63A451 CR63A452 CR63A453 CR63A454">Items 15 - 18 are only for "employed" and "unemployed"<br /></svar></p> <p><svar v="CR63A450 CR63A451 CR63A452" a="all">16. Industry<br /><div class="i1">Write the type of company or activity in which the person works. Examples: Orchestra, doctor's office, government ministry, plantation, law office, construction, etc.<br /><br />____</div><br /></svar> <svar v="CR63A447 CR63A448 CR63A449 CR63A450 CR63A451 CR63A452 CR63A453 CR63A454 CR63A455" a="all"><span class="h2">Occupational Characteristics</span><br /><br />Ask these questions only to persons 12 years old or older.<br /><br />This part of the form joins many interesting aspects relative to the occupation of the individuals. By means of these six questions it will be able to be known where and in what the Costa Rican population works, how many are employees, employers or exclusively students; how many women work only in the house, and much more information.<br /><br />Logically to arrive at obtaining comparable information, all the enumerators should follow the norms and established definitions.<br /></svar></p> <p><svar v="CR63A450 CR63A451 CR63A452" a="all"><span class="em">Line No. 16.- Branch of activity [Industry]</span><br /><br />Ask this question only for the case of "Employed" and "Unemployed".<br /><br />This question is intimately related to the previous, you should write down the branch of activity that corresponds to the occupation written down in it, that is to say, the type of industry, business, institution, agricultural operation, public dependence, etc., in which the person did their occupation. Write down expressions like: car repairs, shoe factory, Ministry of Government Work, local store, bar, magistrate, hospital, bank, Ministry of Health, shoe store, pharmacy, etc. Here also you should avoid generic terms such as: workshop, factory, government, commercial establishment, etc., which say nothing about what is wanted to be known.<br /><br />When it concerns a commercial establishment, specify if it is "Wholesale" or "Retail".<br /><br />If a person works for a company that manages more than one activity, write down the one that you are informed is most important.<br /></svar> Costa Rica 1963: Persons age 12+ who were employed or unemployed [discrepancies: none] This variable indicates the industry (2 digit) where the respondent worked. 00 NIU (not in universe) 01 Agriculture 02 Forestry and lumber extraction 03 Ordinary hunting, hunting with traps, and animal re-population 04 Fishing 11 Exploitation of coal mines 12 Extraction of metal minerals 13 Crude oil and natural gas 14 Extraction of stone, pebbles, and sand 15 Undocumented 19 Extraction of non-metallic minerals not classified elsewhere and exploitation of ravines 20 Food product manufacturing industries, except beverages 21 Beverage industry 22 Tobacco industry 23 Textiles production 24 Production of footwear, clothing and other items produced with textiles 25 Wood and cork industries, except furniture production 26 Manufacture furniture and accessories 27 Manufacture of paper and paper products 28 Printers, editorials, and related industries 29 Industry of leather and leather produces, except footwear and other clothing 30 Manufacture of cork products 31 Manufacture of chemical substances and products 32 Manufacture of products derived from petroleum and coal 33 Manufacture of non-metallic mineral products, except those derived from petroleum and coal 34 Basic metal industries 35 Manufacture of metal products, except machinery and transportation equipment 36 Machinery assembly, except electrical machinery 37 Assembly of electrical machinery, appliances, accessories, and articles 38 Assembly of transportation materials 39 Diverse manufacturing industries 40 Construction 41 Undocumented 51 Electricity, natural gas, and vapor 52 Distribution of water and sanitary services 61 Wholesale and retail commerce 62 Banks and other financial institutions 63 Insurance 64 Real estate 71 Transportation 72 Warehouse and storage 73 Communications 81 Government services 82 Public services 83 Business services 84 Recreational services 85 Personal services 89 Undocumented 90 Unspecified activities 99 Undocumented Work: Industry Variables -- PERSON Industry, 3 digits <span class="h2">Occupational Characteristics</span> <br /><svar v="CR63A447 CR63A448 CR63A449 CR63A450 CR63A451 CR63A452 CR63A453 CR63A454 CR63A455 ">Only for those 12 years of age and older [applies to questions 14 to 19]<br /></svar></p> <p><svar v="CR63A448 CR63A449 CR63A450 CR63A451 CR63A452 CR63A453 CR63A454">Items 15 - 18 are only for "employed" and "unemployed"<br /></svar></p> <p><svar v="CR63A450 CR63A451 CR63A452" a="all">16. Industry<br /><div class="i1">Write the type of company or activity in which the person works. Examples: Orchestra, doctor's office, government ministry, plantation, law office, construction, etc.<br /><br />____</div><br /></svar> <svar v="CR63A447 CR63A448 CR63A449 CR63A450 CR63A451 CR63A452 CR63A453 CR63A454 CR63A455" a="all"><span class="h2">Occupational Characteristics</span><br /><br />Ask these questions only to persons 12 years old or older.<br /><br />This part of the form joins many interesting aspects relative to the occupation of the individuals. By means of these six questions it will be able to be known where and in what the Costa Rican population works, how many are employees, employers or exclusively students; how many women work only in the house, and much more information.<br /><br />Logically to arrive at obtaining comparable information, all the enumerators should follow the norms and established definitions.<br /></svar></p> <p><svar v="CR63A450 CR63A451 CR63A452" a="all"><span class="em">Line No. 16.- Branch of activity [Industry]</span><br /><br />Ask this question only for the case of "Employed" and "Unemployed".<br /><br />This question is intimately related to the previous, you should write down the branch of activity that corresponds to the occupation written down in it, that is to say, the type of industry, business, institution, agricultural operation, public dependence, etc., in which the person did their occupation. Write down expressions like: car repairs, shoe factory, Ministry of Government Work, local store, bar, magistrate, hospital, bank, Ministry of Health, shoe store, pharmacy, etc. Here also you should avoid generic terms such as: workshop, factory, government, commercial establishment, etc., which say nothing about what is wanted to be known.<br /><br />When it concerns a commercial establishment, specify if it is "Wholesale" or "Retail".<br /><br />If a person works for a company that manages more than one activity, write down the one that you are informed is most important.<br /></svar> Costa Rica 1963: Persons age 12+ who were employed or unemployed [discrepancies: none] This variable indicates the industry (3 digit) where the respondent worked. 000 NIU (not in universe) 010 Agriculture 011 Agriculture and cattle production 012 Agricultural services 016 Undocumented 020 Forestry and lumber extraction 021 Forestry 022 Lumber extraction 030 Ordinary hunting, trapping, and and animal re-population 033 Undocumented 040 Fishing 041 High sea and coastal fishing, not including fishing done by production boats 042 Fishing in production boats 043 Fishing in interior waters 110 Exploitation of coal mines 112 Undocumented 120 Metal mineral extraction 121 Extraction of mineral iron 122 Extraction of mineral metals, except mineral iron 130 Crude oil and natural gas 140 Extraction of stone, pebbles, and sand 151 Undocumented 190 Extraction of non-metallic minerals not classified elsewhere 191 Exploitation of mines and salt mines 192 Extraction of minerals for fertilizer and preparation of chemical products 199 Extraction of non-metalic minerals not classified elsewhere 200 Food product manufacturing industries, except beverages 201 Cattle slaughtering, preparation and conservation of meat 202 Manufacture of dairy products 203 Canning and preserving fruits and vegetable 204 Canning and preserving fish and other seafood products 205 Manufacture of milled products 206 Manufacture of bread products 207 Sugar mills and refineries 208 Manufacture of cacao, chocolate, and candy 209 Diverse industries 210 Beverage industry 211 Distilling, correcting, and mixing alcoholic beverages 212 Wine industries 213 Manufacture of beer and malt 214 Manufacture of non-alcholic beverages and soft-drinks 220 Tabacco industry 230 Textiles Production 231 Woven thread and textile finishing 232 Manufacture of knit fabrics 233 Manufacture of cords and ropes 239 Manufacture of textiles not classified elsewhere 240 Manufacture of shoes, clothing, and other articles made of textiles 241 Manufacture of footwear 242 Footwear assembly 243 Clothing assembly, except footwear 244 Articles manufactured out of textiles, except clothing 246 Undocumented 249 Undocumented 250 Wood and cork industries, except furniture production 251 Lumber yards, lumber finishing, and other woodworking activities 252 Wood and cane containers and small articles made of cane 259 Manufacture of cork and wood products not classified elsewhere 260 Manufacture of furniture and accessories 261 Undocumented 270 Manufacture of paper and paper products 271 Manufacture of wood pulp, paper, and cardboard 272 Manufacture of goods made of wood pulp, paper, and cardboard 280 Printers, editorials, and related industries 290 Leather industries and goods made of leather and fur, except footwear and other clothing 291 Tanning and finishing shops 292 Manufacture of fur products, except clothing 293 Manufacture of leather, except footwear and other clothing 299 Undocumented 300 Manufacture of cork products 301 Undocumented 306 Undocumented 309 Undocumented 310 Manufacture of chemical substances and products 311 Essential industrial chemical products, including fertilizers 312 Vegetable and animal oils and fats 313 Manufacture of paints, varnishes, and lacquer 314 Undocumented 319 Manufacture of diverse chemical products 320 Manufacture of products derived from petroleum and coal 321 Petroleum refineries 329 Manufacture of diverse petroleum and coal products 330 Manufacture of non-metal mineral products, except derivatives of petroleum and coal 331 Manufacture of stone products for construction 332 Manufacture of glass and glass products 333 Manufacture of articles made of clay, ceramic, and porcelain 334 Manufacture of cement (hydraulic) 339 Manufacture of non-metal mineral products, not classified elsewhere 340 Basic metal industries 341 Basic iron and steel industries 342 Basic industries of non-iron metals 350 Manufacture of metal products, except machinery and transportation equipment 360 Machinery assembly, except electrical machinery 370 Assembly of electrical machinery, appliances, accessories, and articles 380 Assembly of transportation materials 381 Assembly of ships and boat repair 382 Assembly of railroad equipment 383 Assembly of automobiles 384 Automobile repair 385 Assembly of motorcycles and bicycles 386 Assembly of aircraft 389 Manufacture of transportation material not classified elsewhere 390 Diverse manufacturing industries 391 Manufacture of professional, scientific, measuring, and control instruments 392 Manufacture of photographic equipment and optical instruments 393 Manufacture of clocks and watches 394 Manufactures of jewelry and related articles 395 Manufacture of musical instruments 399 Manufacturing industries not classified elsewhere 400 Construction 411 Undocumented 510 Electricity, natural gas, and vapor 511 Light and electrical energy 512 Production and distribution of natural gas 513 Vapor for heating and engine power 520 Distribution of water and santitary services 521 Distribution of water 522 Sanitary services 610 Wholesale and retail commerce 611 Wholesale commerce 612 Retail commerce 613 Undocumented 614 Undocumented 620 Banks and other financial institutions 622 Undocumented 630 Insurance 640 Real estate 710 Transportation 711 Railroad transportation 712 Trams and omnibuses 713 Passenger transportation via highways, except omnibus transportation 714 Highway transportation not classified elsewhere 715 Sea transportation, except coastal transportation 716 Fluvial transportation, except sea transportation 717 Air transportation 718 Transportation services 719 Transportation not classified elsewhere 720 Warehouse and storage 730 Communications 810 Government services 811 Undocumented 812 Undocumented 820 Public services 821 Public education 822 Medical and sanitary services 823 Scientific and research institutions 824 Religious organizations 825 Social service institutions 826 Commercial and professional associations, labor organizations 827 Libraries, museums, botanical gardens, and zoos 828 Public services not classified elsewhere 829 Undocumented 830 Business services 831 Juridical services 832 Accounting, auditing, and bookkeeping 833 Technical services 839 Business services not classified elsewhere 840 Recreational services 841 Production, distribution, and exhibiting movies 842 Theaters and related services 843 Recreational services, except theaters and movies 850 Personal services 851 Domestic services 852 Restaurants, cafes, taverns, and other establishments that serve foods and beverages 853 Hotels, guest houses, camps, and other businesses that provide housing 854 Laundromats and laundry services; cleaning and dying 855 Barber shops and beauty parlors 856 Photographic studios and comercial photography 857 Undocumented 859 Personal services not classified elsewhere 893 Undocumented 900 Unspecified activities 902 Undocumented 903 New worker 999 Unknown Work: Industry Variables -- PERSON Class of worker <span class="h2">Occupational Characteristics</span> <br /><svar v="CR63A447 CR63A448 CR63A449 CR63A450 CR63A451 CR63A452 CR63A453 CR63A454 CR63A455 ">Only for those 12 years of age and older [applies to questions 14 to 19]<br /></svar></p> <p><svar v="CR63A448 CR63A449 CR63A450 CR63A451 CR63A452 CR63A453 CR63A454">Items 15 - 18 are only for "employed" and "unemployed"<br /></svar></p> <p><svar v="CR63A453" a="all">17. Occupational category (employment status). Mark the appropriate box<br /><br /><div class="i1">Owner: one who operates his own company and has paid workers<br />Family worker: one who works in the company of a relative without receiving payment<br />Paid worker: one who receives payment, in money or in kind, for working<br />Own-account worker: one who operates his own company and does not have paid workers</div><br /><br /><div class="i2">[] 1 Owner<br />[] 2 Family worker<br />[] 3 Paid worker<br />[] 4 Own-account worker</div><br /></svar> <svar v="CR63A447 CR63A448 CR63A449 CR63A450 CR63A451 CR63A452 CR63A453 CR63A454 CR63A455" a="all"><span class="h2">Occupational Characteristics</span><br /><br />Ask these questions only to persons 12 years old or older.<br /><br />This part of the form joins many interesting aspects relative to the occupation of the individuals. By means of these six questions it will be able to be known where and in what the Costa Rican population works, how many are employees, employers or exclusively students; how many women work only in the house, and much more information.<br /><br />Logically to arrive at obtaining comparable information, all the enumerators should follow the norms and established definitions.<br /></svar></p> <p><svar v="CR63A453" a="all"><span class="em">Line No. 17.- Occupational category</span><br /><br />This question should only be asked to "Employed" and "Unemployed".<br /><br />By means of this question every person is wanted to be classified writing down the occupational position that is corresponding, according to the following definitions.<br /><br /><span class="em">Employer</span>: is the owner of any company, big or small, or one who manages a profession or craft and <span class="em">has one or more remunerated workers</span>. One who does not have remunerated employees <span class="em">is not an employer</span>.<br /><br /><span class="em">Family Worker</span>: is a person not remunerated, who manages an occupation in an economic company run by a member of the Census Home.<br /><br /><span class="em">Worker with Remuneration</span>: is a person who receives remuneration in the form of salary, wage, commission, paid by the job or in kind and who works for an employer, it being either a person or a public or private entity.<br /><br /><span class="em">Worker for their Own Account</span>: is a person who is dedicated to an occupation, profession or office, in an independent form, that is, <span class="em">without remunerated employees, nor being employed by anyone</span>.<br /><br /><span class="pg">[p. 53]</span><br /><br />One who has <span class="em">no remunerated</span> employees also is included in this category. A worker by their own account can work alone or with an associate.<br /><br />You should, according to these definitions, assign to each person their category and mark the corresponding box; in no case should you mark more than one box. When you are found with any special situation that you consider doubtful, write it down in the space for "Observations".<br /></svar> Costa Rica 1963: Persons age 12+ who were employed or unemployed [discrepancies: none] This variable indicates the respondent's occupational category. 1 Owner or boss 2 Unpaid family worker 3 Paid worker 4 Own-account worker 5 Never worked 9 NIU (not in universe) Work Variables -- PERSON Months worked last year <span class="h2">Occupational Characteristics</span> <br /><svar v="CR63A447 CR63A448 CR63A449 CR63A450 CR63A451 CR63A452 CR63A453 CR63A454 CR63A455 ">Only for those 12 years of age and older [applies to questions 14 to 19]<br /></svar></p> <p><svar v="CR63A455" a="all">19. Length of employment<br /><div class="i1">Write the number of months worked during the last year (from April 1st 1962 to March 31st 1963)</div><br /><br /><div class="i2">____ Number of months</div><br /></svar> <svar v="CR63A447 CR63A448 CR63A449 CR63A450 CR63A451 CR63A452 CR63A453 CR63A454 CR63A455" a="all"><span class="h2">Occupational Characteristics</span><br /><br />Ask these questions only to persons 12 years old or older.<br /><br />This part of the form joins many interesting aspects relative to the occupation of the individuals. By means of these six questions it will be able to be known where and in what the Costa Rican population works, how many are employees, employers or exclusively students; how many women work only in the house, and much more information.<br /><br />Logically to arrive at obtaining comparable information, all the enumerators should follow the norms and established definitions.<br /></svar></p> <p><svar v="CR63A455" a="all"><span class="em">Line No. 19.- Length of Employment</span><br /><br />This question should be asked to all persons 12 years old or older.<br /><br />In this space you should write down the number of months that a person was working last year (from April 1, 1962 to March 31, 1963). If a person had different jobs at the same time, write down the months worked in each one and write down this information; when you write it indicate in "Observations" that this information corresponds to two, three, four, etc, occupations.<br /><br />When a person has worked less than a month during the period mentioned, write "Less than 1" in the space that says "No, of months". In the other cases, write down the number of complete months: that is to say, if a person worked 3 months and 20 days, write down 3 months; if 9 months and 4 days were worked, write down 9 months, etc.<br /></svar> Costa Rica 1963: Persons age 12+ who worked or had worked [discrepancies: none] This variable indicates the grouped number of months the respondent worked in the past year. 0 None 1 Less than 1 2 1 or 2 3 3 or 4 4 5 or 6 5 7 or 8 6 9 or 10 7 11 or 12 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON