1970 Census of Population and Housing DDI_PRI_1970_PHC_v01_M_v7.6_A_IPUMS IPUMS

Integrated Public Use Microdata Series (IPUMS) International

IPUMS April 1, 2025 IPUMS, 50 Willey Hall, 225 - 19th Avenue South, Minneapolis, MN 55455 Organization for Economic Co-operation and Development, Development Co-operation Directorate JADE#:60525;MEHLB(2010)12 IPUMS Version 7.6 October 2025 : NEW FEATURES. --NO "new features" listed in Revision History NEW SAMPLES. --Six new census samples for Honduras (2013), Kenya (2019), Malawi (2018), Mongolia (2010, 2020), and Mozambique (2017) were added to the data series. All census samples extend pre-existing series for those countries. --91 quarterly labor force surveys from the Philippines (1997 - 2019) were added to IPUMS. SUPPLEMENTAL DATA. --No "supplemental data" listed in revision history NEW VARIABLES. --New spatially harmonized birthplace and previous-residence variables are available for samples in this data release. More information is available here (https://international.ipums.org/international/geo_mig.shtml). --Users should note that many older migration and birthplace variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. For birthplace variables refer to this table (https://international.ipums.org/international/resources/misc_docs/migCrosswalk_names.pdf). EDITED SAMPLES. --For the Zambia 2000 sample, an error in the household breaks was corrected, resulting in the creation of 1,988 new households (1% increase) that were previously combined with other households. The person records included in the sample did not change. Due to an inconsistency in the original file, no household-level information other than geographic location is available for these newly identified households, necessitating the addition of "unknown" values for this sample to the following variables: BEDROOMS, ELECTRIC, FLOOR, FUELCOOK, FUELHEAT, OWNERSHIP, PHONE, RADIO, REFRIG, ROOMS, SEWAGE, TRASH, WATSRC, TV, TOILET, GQ, ROOF, WATSUP, BIKE, MOTORCYCLE, KITCHEN, GQTYPE, AUTOS, and WALL. EDITED VARIABLES. --For the 1998 and 2008 Malawi samples, the family interrelationship pointer variables MOMLOC and POPLOC were modified to allow a "Spouse/partner" of the household head to be linked as a parent to an "Other relative", because the enumeration instructions specify that adopted and stepchildren were categorized as "Other relative". These samples are now consistent with the links made in the newly released 2018 Malawi sample, which had the same enumeration instructions for adopted and stepchildren. --In the samples for Côte d'Ivoire 1988 and 1998, Rwanda 1991 and 2002, Togo 1960 and 2010, and South Africa 2001, for the harmonized variable POLYGAM, persons in consensual unions were previously coded as "No, in monogamous union". Because there was no response option in these samples for polygamous consensual unions, it is more appropriate to treat these cases as not-in-universe, so they have been recoded to "NIU (not in universe)". --MARST has been edited for Honduras 1974 to reclassify the source variable responses "married, wife lives separately" and "consensual union, companion lives separately" as separations. The documentation suggests that "separately" actually indicates a relationship separation and not an absent spouse or companion. Other minor edits were implemented for MARST for Mozambique 1997 and 2007. --In the Mozambique 1997 sample, an error was corrected that recoded persons with a relationship of "Unknown" in the source data to "Other relative or non-relative" (6000) in the harmonized variable RELATE. These persons are now coded as "Not Stated/Unknown" (9999). --In the Malawi 1987, 1998, and 2008 samples, for variable WATSUP, a programming error was corrected such that any households who reported having piped water in either the wet or the dry season are classified as having access to piped water. This programming was also applied to the newly released 2018 sample. --The NATIVITY variable has been edited in the Chile 2017 sample to correct a programming error that mistakenly classified as foreign-born about 20 thousand person records that were actually native-born. --The MIGRATE5 variable has been edited in the Chile 2017 sample, given a programming error that classified most migrants as having changed their major geographic unit. The MIGRATE5 variable for the Chile 1982 and 1992 samples has been edited to use spatially harmonized geographic units to calculate migration status. --In the 1989, 1999, and 2009 Kenya samples, households who indicated that their lighting type or fuel was "Solar" were recoded from "No" to "Yes" in ELECTRIC, based on secondary sources documenting the spread of home solar energy systems in Kenya beginning in the mid-1980s. In the 1989 and 1999 Kenya samples, programming was removed that previously recoded households that reported using electricity as their main cooking fuel to "Yes" in the access to electricity variable ELECTRIC, making it more consistent across samples. Other minor edits were implemented for ELECTRIC in Botswana 2011, Ethiopia 1984 and 1994, Mongolia 1989, Mozambique 2007. --Some samples in DISCARE classified responses indicating "some" difficulty into "yes". These cases were revised to consistently include in "yes" only responses indicating "a lot of difficulty" or "cannot do at all". --Some codes were improperly labeled for municipalities in Honduras 1961 and 1974, which affect variables on place of residence, birthplace, and previous residence. 1970 Census of Population and Housing - IPUMS Subset PHC pr1970a (IPUMS Harmonized Subset) PRI_1970_PHC_v01_M_v7.6_A_IPUMS U.S. Census Bureau IPUMS (c) Copyright 1970, U.S. Census Bureau and Minnesota Population Center U.S. Census Bureau Population and Housing Census [hh/popcen] IPUMS International DOI:10.18128/D020.V7.6 Version 7.6. The datasets contain selected variables from the original microdata plus harmonized variables from the IPUMS-International database. Demographic Variables -- PERSON Dwelling Characteristics Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Fertility and Mortality Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Utilities Variables -- HOUSEHOLD Geography: O-Z Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Income Variables -- PERSON Household Economic Variables -- HOUSEHOLD Migration: Global Variables -- PERSON Technical Person Variables -- PERSON Geography: Global Variables -- HOUSEHOLD Ethnicity and Language Variables -- PERSON Household Economic Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Household Imputation Flags Variables -- HOUSEHOLD Technical Person Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Demographic Variables -- PERSON Fertility and Mortality Variables -- PERSON Nativity and Birthplace Variables -- PERSON Ethnicity and Language Variables -- PERSON Education Variables -- PERSON Work: Occupation Variables -- PERSON Work Variables -- PERSON Work: Industry Variables -- PERSON Income Variables -- PERSON Migration: Global Variables -- PERSON Other Person Variables -- PERSON Person Imputation Flags Variables -- PERSON Education Variables -- PERSON Person Imputation Flags Variables -- PERSON April 1, 1970 Puerto Rico Metropolitan areas and county groups with 250,000+ population Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: Yes - Households: yes - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: No - Households: Dwelling places with fewer than five persons unrelated to a household head, excluding institutions and transient quarters. - Group quarters: Institutions, transient quarters, and dwelling places with five or more persons unrelated to a household head. Residents of Puerto Rico Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Puerto Rico 1970 MICRODATA SOURCE: U.S. Census Bureau SAMPLE SIZE (person records): 27212. SAMPLE DESIGN: 1-in-100 national random sample of the population, drawn by the U.S. Census Bureau. Three independent 1 percent public use samples were produced for 1970, each privileging a particular geography: neighborhood, municipio, and "state". IPUMS-International uses the municipio sample. Face-to-face [f2f] One in five housing units in 1970 received a long form containing supplemental sample questions. de jure, CENSUS DAY: April 1, 1970 Self-weighting (expansion factor = 100). 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. U.S. Census Bureau 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: Puerto Rico, U.S. Census Bureau. 1970 Census of Population and Housing 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 pr1970a, 2025 PRI1970_PHC-H-H.dat Household records 7,460 ascii Minnesota Population Center Version 7.5, IPUMS sample PRI1970_PHC-P-H.dat Person records 27212 ascii Minnesota Population Center Version 7.5, IPUMS sample Record type RECTYPE identifies the type of record for the case: household or person. NOTE: RECTYPE is an alphabetic (character string) variable with a value of 'H' for household records and 'P' for person records. RECTYPE will not appear as a variable in the default rectangular extracts produced by the data extract system. It is only available in hierarchical extracts, to distinguish between the two record types. H Household P Person Technical Household Variables -- HOUSEHOLD Country COUNTRY gives the country from which the sample was drawn. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization). 032 Argentina 051 Armenia 040 Austria 050 Bangladesh 112 Belarus 204 Benin 068 Bolivia 072 Botswana 076 Brazil 854 Burkina Faso 116 Cambodia 120 Cameroon 124 Canada 152 Chile 156 China 170 Colombia 188 Costa Rica 192 Cuba 208 Denmark 214 Dominican Republic 218 Ecuador 818 Egypt 222 El Salvador 231 Ethiopia 242 Fiji 246 Finland 250 France 276 Germany 288 Ghana 300 Greece 320 Guatemala 324 Guinea 332 Haiti 340 Honduras 348 Hungary 352 Iceland 356 India 360 Indonesia 364 Iran 368 Iraq 372 Ireland 376 Israel 380 Italy 384 Côte d'Ivoire 388 Jamaica 400 Jordan 404 Kenya 417 Kyrgyz Republic 418 Laos 426 Lesotho 430 Liberia 454 Malawi 458 Malaysia 466 Mali 480 Mauritius 484 Mexico 496 Mongolia 504 Morocco 508 Mozambique 104 Myanmar 524 Nepal 528 Netherlands 558 Nicaragua 566 Nigeria 578 Norway 586 Pakistan 275 Palestine 591 Panama 598 Papua New Guinea 600 Paraguay 604 Peru 608 Philippines 616 Poland 620 Portugal 630 Puerto Rico 642 Romania 643 Russia 646 Rwanda 662 Saint Lucia 686 Senegal 694 Sierra Leone 703 Slovak Republic 705 Slovenia 710 South Africa 728 South Sudan 724 Spain 729 Sudan 740 Suriname 752 Sweden 756 Switzerland 834 Tanzania 764 Thailand 768 Togo 780 Trinidad and Tobago 792 Turkey 800 Uganda 804 Ukraine 826 United Kingdom 840 United States 858 Uruguay 862 Venezuela 704 Vietnam 894 Zambia 716 Zimbabwe Technical Household Variables -- HOUSEHOLD Year YEAR gives the year in which the census or survey was taken. For samples that span years, the midpoint or first year of the interval is reported. 1703 1703 1729 1729 1787 1787 1801 1801 1819 1819 1845 1845 1848 1848 1850 1850 1851 1851 1852 1852 1860 1860 1861 1861 1865 1865 1868 1868 1870 1870 1871 1871 1875 1875 1880 1880 1881 1881 1885 1885 1890 1890 1891 1891 1900 1900 1901 1901 1910 1910 1911 1911 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1966 1966 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 Technical Household Variables -- HOUSEHOLD IPUMS sample identifier SAMPLE identifies the IPUMS sample from which the case is drawn. Each sample receives a unique 9-digit code. The code is structured as follows: The first 3 digits are the ISO/UN codes used in COUNTRY The next 4 digits are the year of the census/survey The final 2 digits identify the sample within the year. For the last two digits, censuses or large census-like surveys have a value "0" (e.g, 01) in the second-to-last digit, household surveys have a value of "2" (e.g., 21), and employment surveys have a value of "4" (e.g., 41). 032197001 Argentina 1970 032198001 Argentina 1980 032199101 Argentina 1991 032200101 Argentina 2001 032201001 Argentina 2010 051200101 Armenia 2001 051201101 Armenia 2011 040197101 Austria 1971 040198101 Austria 1981 040199101 Austria 1991 040200101 Austria 2001 040201101 Austria 2011 050199101 Bangladesh 1991 050200101 Bangladesh 2001 050201101 Bangladesh 2011 112199901 Belarus 1999 112200901 Belarus 2009 204197901 Benin 1979 204199201 Benin 1992 204200201 Benin 2002 204201301 Benin 2013 068197601 Bolivia 1976 068199201 Bolivia 1992 068200101 Bolivia 2001 068201201 Bolivia 2012 072198101 Botswana 1981 072199101 Botswana 1991 072200101 Botswana 2001 072201101 Botswana 2011 076196001 Brazil 1960 076197001 Brazil 1970 076198001 Brazil 1980 076199101 Brazil 1991 076200001 Brazil 2000 076201001 Brazil 2010 854198501 Burkina Faso 1985 854199601 Burkina Faso 1996 854200601 Burkina Faso 2006 116199801 Cambodia 1998 116200401 Cambodia 2004 116200801 Cambodia 2008 116201301 Cambodia 2013 116201901 Cambodia 2019 120197601 Cameroon 1976 120198701 Cameroon 1987 120200501 Cameroon 2005 124185201 Canada 1852 124187101 Canada 1871 124188101 Canada 1881 124189101 Canada 1891 124190101 Canada 1901 124191101 Canada 1911 124197101 Canada 1971 124198101 Canada 1981 124199101 Canada 1991 124200101 Canada 2001 124201101 Canada 2011 152196001 Chile 1960 152197001 Chile 1970 152198201 Chile 1982 152199201 Chile 1992 152200201 Chile 2002 152201701 Chile 2017 156198201 China 1982 156199001 China 1990 156200001 China 2000 170196401 Colombia 1964 170197301 Colombia 1973 170198501 Colombia 1985 170199301 Colombia 1993 170200501 Colombia 2005 188196301 Costa Rica 1963 188197301 Costa Rica 1973 188198401 Costa Rica 1984 188200001 Costa Rica 2000 188201101 Costa Rica 2011 192200201 Cuba 2002 192201201 Cuba 2012 208178701 Denmark 1787 208180101 Denmark 1801 208184501 Denmark 1845 208188001 Denmark 1880 208188501 Denmark 1885 214196001 Dominican Republic 1960 214197001 Dominican Republic 1970 214198101 Dominican Republic 1981 214200201 Dominican Republic 2002 214201001 Dominican Republic 2010 218196201 Ecuador 1962 218197401 Ecuador 1974 218198201 Ecuador 1982 218199001 Ecuador 1990 218200101 Ecuador 2001 218201001 Ecuador 2010 818184801 Egypt 1848 818186801 Egypt 1868 818198601 Egypt 1986 818199601 Egypt 1996 818200601 Egypt 2006 222199201 El Salvador 1992 222200701 El Salvador 2007 231198401 Ethiopia 1984 231199401 Ethiopia 1994 231200701 Ethiopia 2007 242196601 Fiji 1966 242197601 Fiji 1976 242198601 Fiji 1986 242199601 Fiji 1996 242200701 Fiji 2007 242201401 Fiji 2014 246201001 Finland 2010 250196201 France 1962 250196801 France 1968 250197501 France 1975 250198201 France 1982 250199001 France 1990 250199901 France 1999 250200601 France 2006 250201101 France 2011 276181901 Germany 1819 (Mecklenburg) 276197001 Germany 1970 (West) 276197101 Germany 1971 (East) 276198101 Germany 1981 (East) 276198701 Germany 1987 (West) 288198401 Ghana 1984 288200001 Ghana 2000 288201001 Ghana 2010 300197101 Greece 1971 300198101 Greece 1981 300199101 Greece 1991 300200101 Greece 2001 300201101 Greece 2011 320196401 Guatemala 1964 320197301 Guatemala 1973 320198101 Guatemala 1981 320199401 Guatemala 1994 320200201 Guatemala 2002 324198301 Guinea 1983 324199601 Guinea 1996 324201401 Guinea 2014 332197101 Haiti 1971 332198201 Haiti 1982 332200301 Haiti 2003 340196101 Honduras 1961 340197401 Honduras 1974 340198801 Honduras 1988 340200101 Honduras 2001 340201301 Honduras 2013 348197001 Hungary 1970 348198001 Hungary 1980 348199001 Hungary 1990 348200101 Hungary 2001 348201101 Hungary 2011 352170301 Iceland 1703 352172901 Iceland 1729 352180101 Iceland 1801 352190101 Iceland 1901 352191001 Iceland 1910 356198341 India 1983 356198741 India 1987 356199341 India 1993 356199941 India 1999 356200441 India 2004 356200941 India 2009 360197101 Indonesia 1971 360197601 Indonesia 1976 360198001 Indonesia 1980 360198501 Indonesia 1985 360199001 Indonesia 1990 360199501 Indonesia 1995 360200001 Indonesia 2000 360200501 Indonesia 2005 360201001 Indonesia 2010 364200601 Iran 2006 364201101 Iran 2011 368199701 Iraq 1997 372190101 Ireland 1901 372191101 Ireland 1911 372197101 Ireland 1971 372197901 Ireland 1979 372198101 Ireland 1981 372198601 Ireland 1986 372199101 Ireland 1991 372199601 Ireland 1996 372200201 Ireland 2002 372200601 Ireland 2006 372201101 Ireland 2011 372201601 Ireland 2016 376197201 Israel 1972 376198301 Israel 1983 376199501 Israel 1995 376200801 Israel 2008 380200101 Italy 2001 380201101 Italy 2011 380201121 Italy 2011 Q1 LFS 380201221 Italy 2012 Q1 LFS 380201321 Italy 2013 Q1 LFS 380201421 Italy 2014 Q1 LFS 380201521 Italy 2015 Q1 LFS 380201621 Italy 2016 Q1 LFS 380201721 Italy 2017 Q1 LFS 380201821 Italy 2018 Q1 LFS 380201921 Italy 2019 Q1 LFS 380202021 Italy 2020 Q1 LFS 384198801 Côte d'Ivoire 1988 384199801 Côte d'Ivoire 1998 388198201 Jamaica 1982 388199101 Jamaica 1991 388200101 Jamaica 2001 400200401 Jordan 2004 404196901 Kenya 1969 404197901 Kenya 1979 404198901 Kenya 1989 404199901 Kenya 1999 404200901 Kenya 2009 404201901 Kenya 2019 417199901 Kyrgyz Republic 1999 417200901 Kyrgyz Republic 2009 418199501 Laos 1995 418200501 Laos 2005 418201501 Laos 2015 426199601 Lesotho 1996 426200601 Lesotho 2006 430197401 Liberia 1974 430200801 Liberia 2008 454198701 Malawi 1987 454199801 Malawi 1998 454200801 Malawi 2008 454201801 Malawi 2018 458197001 Malaysia 1970 458198001 Malaysia 1980 458199101 Malaysia 1991 458200001 Malaysia 2000 466198701 Mali 1987 466199801 Mali 1998 466200901 Mali 2009 480199001 Mauritius 1990 480200001 Mauritius 2000 480201101 Mauritius 2011 484196001 Mexico 1960 484197001 Mexico 1970 484199001 Mexico 1990 484199501 Mexico 1995 484200001 Mexico 2000 484200501 Mexico 2005 484201001 Mexico 2010 484201501 Mexico 2015 484202001 Mexico 2020 484200521 Mexico 2005 Q1 LFS 484200522 Mexico 2005 Q2 LFS 484200523 Mexico 2005 Q3 LFS 484200524 Mexico 2005 Q4 LFS 484200621 Mexico 2006 Q1 LFS 484200622 Mexico 2006 Q2 LFS 484200623 Mexico 2006 Q3 LFS 484200624 Mexico 2006 Q4 LFS 484200721 Mexico 2007 Q1 LFS 484200722 Mexico 2007 Q2 LFS 484200723 Mexico 2007 Q3 LFS 484200724 Mexico 2007 Q4 LFS 484200821 Mexico 2008 Q1 LFS 484200822 Mexico 2008 Q2 LFS 484200823 Mexico 2008 Q3 LFS 484200824 Mexico 2008 Q4 LFS 484200921 Mexico 2009 Q1 LFS 484200922 Mexico 2009 Q2 LFS 484200923 Mexico 2009 Q3 LFS 484200924 Mexico 2009 Q4 LFS 484201021 Mexico 2010 Q1 LFS 484201022 Mexico 2010 Q2 LFS 484201023 Mexico 2010 Q3 LFS 484201024 Mexico 2010 Q4 LFS 484201121 Mexico 2011 Q1 LFS 484201122 Mexico 2011 Q2 LFS 484201123 Mexico 2011 Q3 LFS 484201124 Mexico 2011 Q4 LFS 484201221 Mexico 2012 Q1 LFS 484201222 Mexico 2012 Q2 LFS 484201223 Mexico 2012 Q3 LFS 484201224 Mexico 2012 Q4 LFS 484201321 Mexico 2013 Q1 LFS 484201322 Mexico 2013 Q2 LFS 484201323 Mexico 2013 Q3 LFS 484201324 Mexico 2013 Q4 LFS 484201421 Mexico 2014 Q1 LFS 484201422 Mexico 2014 Q2 LFS 484201423 Mexico 2014 Q3 LFS 484201424 Mexico 2014 Q4 LFS 484201521 Mexico 2015 Q1 LFS 484201522 Mexico 2015 Q2 LFS 484201523 Mexico 2015 Q3 LFS 484201524 Mexico 2015 Q4 LFS 484201621 Mexico 2016 Q1 LFS 484201622 Mexico 2016 Q2 LFS 484201623 Mexico 2016 Q3 LFS 484201624 Mexico 2016 Q4 LFS 484201721 Mexico 2017 Q1 LFS 484201722 Mexico 2017 Q2 LFS 484201723 Mexico 2017 Q3 LFS 484201724 Mexico 2017 Q4 LFS 484201821 Mexico 2018 Q1 LFS 484201822 Mexico 2018 Q2 LFS 484201823 Mexico 2018 Q3 LFS 484201824 Mexico 2018 Q4 LFS 484201921 Mexico 2019 Q1 LFS 484201922 Mexico 2019 Q2 LFS 484201923 Mexico 2019 Q3 LFS 484201924 Mexico 2019 Q4 LFS 484202021 Mexico 2020 Q1 LFS 484202023 Mexico 2020 Q3 LFS 496198901 Mongolia 1989 496200001 Mongolia 2000 496201001 Mongolia 2010 496202001 Mongolia 2020 504198201 Morocco 1982 504199401 Morocco 1994 504200401 Morocco 2004 504201401 Morocco 2014 508199701 Mozambique 1997 508200701 Mozambique 2007 508201701 Mozambique 2017 104201401 Myanmar 2014 524200101 Nepal 2001 524201101 Nepal 2011 528196001 Netherlands 1960 528197101 Netherlands 1971 528200101 Netherlands 2001 528201101 Netherlands 2011 558197101 Nicaragua 1971 558199501 Nicaragua 1995 558200501 Nicaragua 2005 566200621 Nigeria 2006 566200721 Nigeria 2007 566200821 Nigeria 2008 566200921 Nigeria 2009 566201021 Nigeria 2010 578180101 Norway 1801 578186501 Norway 1865 578187501 Norway 1875 578190001 Norway 1900 578191001 Norway 1910 586197301 Pakistan 1973 586198101 Pakistan 1981 586199801 Pakistan 1998 275199701 Palestine 1997 275200701 Palestine 2007 275201701 Palestine 2017 591196001 Panama 1960 591197001 Panama 1970 591198001 Panama 1980 591199001 Panama 1990 591200001 Panama 2000 591201001 Panama 2010 598198001 Papua New Guinea 1980 598199001 Papua New Guinea 1990 598200001 Papua New Guinea 2000 600196201 Paraguay 1962 600197201 Paraguay 1972 600198201 Paraguay 1982 600199201 Paraguay 1992 600200201 Paraguay 2002 604199301 Peru 1993 604200701 Peru 2007 604201701 Peru 2017 608199721 Philippines 1997 Q1 LFS 608199722 Philippines 1997 Q2 LFS 608199723 Philippines 1997 Q3 LFS 608199724 Philippines 1997 Q4 LFS 608199821 Philippines 1998 Q1 LFS 608199822 Philippines 1998 Q2 LFS 608199823 Philippines 1998 Q3 LFS 608199824 Philippines 1998 Q4 LFS 608199921 Philippines 1999 Q1 LFS 608199922 Philippines 1999 Q2 LFS 608199923 Philippines 1999 Q3 LFS 608199924 Philippines 1999 Q4 LFS 608200021 Philippines 2000 Q1 LFS 608200022 Philippines 2000 Q2 LFS 608200023 Philippines 2000 Q3 LFS 608200024 Philippines 2000 Q4 LFS 608200121 Philippines 2001 Q1 LFS 608200122 Philippines 2001 Q2 LFS 608200123 Philippines 2001 Q3 LFS 608200124 Philippines 2001 Q4 LFS 608200221 Philippines 2002 Q1 LFS 608200222 Philippines 2002 Q2 LFS 608200223 Philippines 2002 Q3 LFS 608200224 Philippines 2002 Q4 LFS 608200321 Philippines 2003 Q1 LFS 608200322 Philippines 2003 Q2 LFS 608200323 Philippines 2003 Q3 LFS 608200324 Philippines 2003 Q4 LFS 608200421 Philippines 2004 Q1 LFS 608200422 Philippines 2004 Q2 LFS 608200423 Philippines 2004 Q3 LFS 608200424 Philippines 2004 Q4 LFS 608200521 Philippines 2005 Q1 LFS 608200522 Philippines 2005 Q2 LFS 608200523 Philippines 2005 Q3 LFS 608200524 Philippines 2005 Q4 LFS 608200621 Philippines 2006 Q1 LFS 608200622 Philippines 2006 Q2 LFS 608200623 Philippines 2006 Q3 LFS 608200624 Philippines 2006 Q4 LFS 608200721 Philippines 2007 Q1 LFS 608200722 Philippines 2007 Q2 LFS 608200723 Philippines 2007 Q3 LFS 608200724 Philippines 2007 Q4 LFS 608200821 Philippines 2008 Q1 LFS 608200822 Philippines 2008 Q2 LFS 608200823 Philippines 2008 Q3 LFS 608200824 Philippines 2008 Q4 LFS 608200921 Philippines 2009 Q1 LFS 608200922 Philippines 2009 Q2 LFS 608200923 Philippines 2009 Q3 LFS 608200924 Philippines 2009 Q4 LFS 608201021 Philippines 2010 Q1 LFS 608201022 Philippines 2010 Q2 LFS 608201023 Philippines 2010 Q3 LFS 608201024 Philippines 2010 Q4 LFS 608201121 Philippines 2011 Q1 LFS 608201122 Philippines 2011 Q2 LFS 608201123 Philippines 2011 Q3 LFS 608201124 Philippines 2011 Q4 LFS 608201221 Philippines 2012 Q1 LFS 608201222 Philippines 2012 Q2 LFS 608201223 Philippines 2012 Q3 LFS 608201224 Philippines 2012 Q4 LFS 608201321 Philippines 2013 Q1 LFS 608201322 Philippines 2013 Q2 LFS 608201323 Philippines 2013 Q3 LFS 608201324 Philippines 2013 Q4 LFS 608201421 Philippines 2014 Q1 LFS 608201422 Philippines 2014 Q2 LFS 608201423 Philippines 2014 Q3 LFS 608201424 Philippines 2014 Q4 LFS 608201521 Philippines 2015 Q1 LFS 608201522 Philippines 2015 Q2 LFS 608201523 Philippines 2015 Q3 LFS 608201524 Philippines 2015 Q4 LFS 608201621 Philippines 2016 Q1 LFS 608201622 Philippines 2016 Q2 LFS 608201623 Philippines 2016 Q3 LFS 608201624 Philippines 2016 Q4 LFS 608201721 Philippines 2017 Q1 LFS 608201722 Philippines 2017 Q2 LFS 608201723 Philippines 2017 Q3 LFS 608201724 Philippines 2017 Q4 LFS 608201821 Philippines 2018 Q1 LFS 608201822 Philippines 2018 Q2 LFS 608201823 Philippines 2018 Q3 LFS 608201824 Philippines 2018 Q4 LFS 608201921 Philippines 2019 Q1 LFS 608201922 Philippines 2019 Q2 LFS 608201923 Philippines 2019 Q3 LFS 608199001 Philippines 1990 608199501 Philippines 1995 608200001 Philippines 2000 608201001 Philippines 2010 616197801 Poland 1978 616198801 Poland 1988 616200201 Poland 2002 616201101 Poland 2011 620198101 Portugal 1981 620199101 Portugal 1991 620200101 Portugal 2001 620201101 Portugal 2011 630197001 Puerto Rico 1970 630198001 Puerto Rico 1980 630199001 Puerto Rico 1990 630200001 Puerto Rico 2000 630200501 Puerto Rico 2005 630201001 Puerto Rico 2010 630201501 Puerto Rico 2015 630202001 Puerto Rico 2020 642197701 Romania 1977 642199201 Romania 1992 642200201 Romania 2002 642201101 Romania 2011 643200201 Russia 2002 643201001 Russia 2010 646199101 Rwanda 1991 646200201 Rwanda 2002 646201201 Rwanda 2012 662198001 Saint Lucia 1980 662199101 Saint Lucia 1991 686198801 Senegal 1988 686200201 Senegal 2002 686201301 Senegal 2013 694200401 Sierra Leone 2004 694201501 Sierra Leone 2015 703199101 Slovak Republic 1991 703200101 Slovak Republic 2001 703201101 Slovak Republic 2011 705200201 Slovenia 2002 710199601 South Africa 1996 710200101 South Africa 2001 710200701 South Africa 2007 710201101 South Africa 2011 710201601 South Africa 2016 728200801 South Sudan 2008 724198101 Spain 1981 724199101 Spain 1991 724200101 Spain 2001 724201101 Spain 2011 724200521 Spain 2005 Q1 LFS 724200522 Spain 2005 Q2 LFS 724200523 Spain 2005 Q3 LFS 724200524 Spain 2005 Q4 LFS 724200621 Spain 2006 Q1 LFS 724200622 Spain 2006 Q2 LFS 724200623 Spain 2006 Q3 LFS 724200624 Spain 2006 Q4 LFS 724200721 Spain 2007 Q1 LFS 724200722 Spain 2007 Q2 LFS 724200723 Spain 2007 Q3 LFS 724200724 Spain 2007 Q4 LFS 724200821 Spain 2008 Q1 LFS 724200822 Spain 2008 Q2 LFS 724200823 Spain 2008 Q3 LFS 724200824 Spain 2008 Q4 LFS 724200921 Spain 2009 Q1 LFS 724200922 Spain 2009 Q2 LFS 724200923 Spain 2009 Q3 LFS 724200924 Spain 2009 Q4 LFS 724201021 Spain 2010 Q1 LFS 724201022 Spain 2010 Q2 LFS 724201023 Spain 2010 Q3 LFS 724201024 Spain 2010 Q4 LFS 724201121 Spain 2011 Q1 LFS 724201122 Spain 2011 Q2 LFS 724201123 Spain 2011 Q3 LFS 724201124 Spain 2011 Q4 LFS 724201221 Spain 2012 Q1 LFS 724201222 Spain 2012 Q2 LFS 724201223 Spain 2012 Q3 LFS 724201224 Spain 2012 Q4 LFS 724201321 Spain 2013 Q1 LFS 724201322 Spain 2013 Q2 LFS 724201323 Spain 2013 Q3 LFS 724201324 Spain 2013 Q4 LFS 724201421 Spain 2014 Q1 LFS 724201422 Spain 2014 Q2 LFS 724201423 Spain 2014 Q3 LFS 724201424 Spain 2014 Q4 LFS 724201521 Spain 2015 Q1 LFS 724201522 Spain 2015 Q2 LFS 724201523 Spain 2015 Q3 LFS 724201524 Spain 2015 Q4 LFS 724201621 Spain 2016 Q1 LFS 724201622 Spain 2016 Q2 LFS 724201623 Spain 2016 Q3 LFS 724201624 Spain 2016 Q4 LFS 724201721 Spain 2017 Q1 LFS 724201722 Spain 2017 Q2 LFS 724201723 Spain 2017 Q3 LFS 724201724 Spain 2017 Q4 LFS 724201821 Spain 2018 Q1 LFS 724201822 Spain 2018 Q2 LFS 724201823 Spain 2018 Q3 LFS 724201824 Spain 2018 Q4 LFS 724201921 Spain 2019 Q1 LFS 724201922 Spain 2019 Q2 LFS 724201923 Spain 2019 Q3 LFS 724201924 Spain 2019 Q4 LFS 724202021 Spain 2020 Q1 LFS 724202022 Spain 2020 Q2 LFS 724202023 Spain 2020 Q3 LFS 724202024 Spain 2020 Q4 LFS 729200801 Sudan 2008 740200401 Suriname 2004 740201201 Suriname 2012 752188001 Sweden 1880 752189001 Sweden 1890 752190001 Sweden 1900 752191001 Sweden 1910 756197001 Switzerland 1970 756198001 Switzerland 1980 756199001 Switzerland 1990 756200001 Switzerland 2000 756201101 Switzerland 2011 834198801 Tanzania 1988 834200201 Tanzania 2002 834201201 Tanzania 2012 764197001 Thailand 1970 764198001 Thailand 1980 764199001 Thailand 1990 764200001 Thailand 2000 768196001 Togo 1960 768197001 Togo 1970 768201001 Togo 2010 780197001 Trinidad and Tobago 1970 780198001 Trinidad and Tobago 1980 780199001 Trinidad and Tobago 1990 780200001 Trinidad and Tobago 2000 780201101 Trinidad and Tobago 2011 792198501 Turkey 1985 792199001 Turkey 1990 792200001 Turkey 2000 800199101 Uganda 1991 800200201 Uganda 2002 800201401 Uganda 2014 804200101 Ukraine 2001 826185101 United Kingdom 1851 (England and Wales) 826185102 United Kingdom 1851 (Scotland) 826185103 United Kingdom 1851 (2% sample) 826186101 United Kingdom 1861 (England and Wales) 826186102 United Kingdom 1861 (Scotland) 826187101 United Kingdom 1871 (Scotland) 826188101 United Kingdom 1881 (England and Wales) 826188102 United Kingdom 1881 (Scotland) 826189101 United Kingdom 1891 (England and Wales) 826189102 United Kingdom 1891 (Scotland) 826190101 United Kingdom 1901 (England and Wales) 826190102 United Kingdom 1901 (Scotland) 826191101 United Kingdom 1911 (England and Wales) 826196101 United Kingdom 1961 826197101 United Kingdom 1971 826199101 United Kingdom 1991 826200101 United Kingdom 2001 840185001 United States 1850 (100%) 840185002 United States 1850 (1%) 840186001 United States 1860 (1%) 840187001 United States 1870 (1%) 840188001 United States 1880 (100%) 840188002 United States 1880 (10%) 840190001 United States 1900 (5%) 840191001 United States 1910 (1%) 840196001 United States 1960 840197001 United States 1970 840198001 United States 1980 840199001 United States 1990 840200001 United States 2000 840200501 United States 2005 840201001 United States 2010 840201501 United States 2015 840202001 United States 2020 858196301 Uruguay 1963 858196302 Uruguay 1963 (full count) 858197501 Uruguay 1975 858197502 Uruguay 1975 (full count) 858198501 Uruguay 1985 858198502 Uruguay 1985 (full count) 858199601 Uruguay 1996 858199602 Uruguay 1996 (full count) 858200621 Uruguay 2006 858201101 Uruguay 2011 858201102 Uruguay 2011 (full count) 862197101 Venezuela 1971 862198101 Venezuela 1981 862199001 Venezuela 1990 862200101 Venezuela 2001 704198901 Vietnam 1989 704199901 Vietnam 1999 704200901 Vietnam 2009 704201901 Vietnam 2019 894199001 Zambia 1990 894200001 Zambia 2000 894201001 Zambia 2010 716201201 Zimbabwe 2012 Technical Household Variables -- HOUSEHOLD Household serial number SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database. SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred: Chile 1970, 1992, 2002Colombia 1993, 2005Costa Rica 1984, 2000Cuba 2002Dominican Republic 1981, 2002, 2010Ecuador 1990, 2001Germany 1971Hungary 1980, 1990, 2001Jamaica 1982, 1991, 2001Malaysia 1970, 1991, 2000Mexico 1995, 1990, 2000, 2005Nigeria 2006Panama 2000Peru 1993, 2007Portugal 1981, 1991, 2001Spain 1991Uruguay 2011Venezuela 1990, 2001Vietnam 1989In all other samples, the last 3 digits are always zeroes. SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets. The U.S. 1900 sample and 1880 10% sample have multi-household dwellings that can be identified using the last 3 digits of SERIAL. SERIAL is a 10-digit numeric variable. The last 3 digits of SERIAL indicate household number within dwelling for selected samples noted in the variable description. In all other samples, the last 3 digits are always zeroes. Technical Household Variables -- HOUSEHOLD Number of person records in the household PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons. PERSONS is a 4-digit numeric variable. Technical Household Variables -- HOUSEHOLD Household weight HHWT indicates the number of households in the population represented by the household in the sample. For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics. NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Household Variables -- HOUSEHOLD Subsample number SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples. 00 1st 1% subsample 01 2nd 1% subsample 02 3rd 1% subsample 03 4th 1% subsample 04 5th 1% subsample 05 6th 1% subsample 06 7th 1% subsample 07 8th 1% subsample 08 9th 1% subsample 09 10th 1% subsample 10 11th 1% subsample 11 12th 1% subsample 12 13th 1% subsample 13 14th 1% subsample 14 15th 1% subsample 15 16th 1% subsample 16 17th 1% subsample 17 18th 1% subsample 18 19th 1% subsample 19 20th 1% subsample 20 21st 1% subsample 21 22nd 1% subsample 22 23rd 1% subsample 23 24th 1% subsample 24 25th 1% subsample 25 26th 1% subsample 26 27th 1% subsample 27 28th 1% subsample 28 29th 1% subsample 29 30th 1% subsample 30 31st 1% subsample 31 32nd 1% subsample 32 33rd 1% subsample 33 34th 1% subsample 34 35th 1% subsample 35 36th 1% subsample 36 37th 1% subsample 37 38th 1% subsample 38 39th 1% subsample 39 40th 1% subsample 40 41st 1% subsample 41 42nd 1% subsample 42 43rd 1% subsample 43 44th 1% subsample 44 45th 1% subsample 45 46th 1% subsample 46 47th 1% subsample 47 48th 1% subsample 48 49th 1% subsample 49 50th 1% subsample 50 51st 1% subsample 51 52nd 1% subsample 52 53rd 1% subsample 53 54th 1% subsample 54 55th 1% subsample 55 56th 1% subsample 56 57th 1% subsample 57 58th 1% subsample 58 59th 1% subsample 59 60th 1% subsample 60 61st 1% subsample 61 62nd 1% subsample 62 63rd 1% subsample 63 64th 1% subsample 64 65th 1% subsample 65 66th 1% subsample 66 67th 1% subsample 67 68th 1% subsample 68 69th 1% subsample 69 70th 1% subsample 70 71st 1% subsample 71 72nd 1% subsample 72 73rd 1% subsample 73 74th 1% subsample 74 75th 1% subsample 75 76th 1% subsample 76 77th 1% subsample 77 78th 1% subsample 78 79th 1% subsample 79 80th 1% subsample 80 81st 1% subsample 81 82nd 1% subsample 82 83rd 1% subsample 83 84th 1% subsample 84 85th 1% subsample 85 86th 1% subsample 86 87th 1% subsample 87 88th 1% subsample 88 89th 1% subsample 89 90th 1% subsample 90 91st 1% subsample 91 92nd 1% subsample 92 93rd 1% subsample 93 94th 1% subsample 94 95th 1% subsample 95 96th 1% subsample 96 97th 1% subsample 97 98th 1% subsample 98 99th 1% subsample 99 100th 1% subsample Technical Household Variables -- HOUSEHOLD Group quarters (collective dwelling) status GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools. Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification. Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions. 00 Vacant 10 Households 20 Group quarters (collective), n.s. 21 Institutions 22 Other group quarters 29 1-person unit created by splitting large household 99 Unknown/group quarters not identified Group Quarters Variables -- HOUSEHOLD Group quarters type GQTYPE identifies the type of group quarters -- collective dwellings -- which are broadly classified into institutional and non-institutional types. Institutions are a place of residence where people are subject to a common authority or bound by a common objective or personal interest. The definition encompasses correctional facilities, health institutions, retirement homes, orphanages, shelters (social welfare institutions), military or police establishments, boarding schools, and religious group dwellings. Non-institutional group quarters comprise refugee and workers' camps (temporary accommodation), hotels, pensions, and all types of boarding or lodging houses. The "floating population" is included as a category within the non-institutional group quarters, when identified by the corresponding sample. This group refers to outdoor sleepers, homeless persons, travelers, and persons in ships, boats, or other mobile dwellings. A more general classification of households between private and group quarters is available in GQ. 100 Institutional 110 Prisons, reformatories, or correctional institutions 120 Hospital, nursing home, hospice, or instutions for persons with disabilities 121 Institutions for persons with disabilities 122 Sanatorium or mental institutions 130 Homes for the elderly or orphanage 131 Retirement home 132 Orphanage, children's home 140 Shelter for homeless, youth, or others 150 Military or police institution 160 Boarding school or student housing 170 Religious institution, monastery, seminary, or convent 199 Other institutional n.e.c. 200 Non-institutional 210 Camps (refugees, workers, or others) 220 Hotel, pension, lodging, or boarding house 230 Floating population 299 Other non-institutional n.e.c. 300 Other group quarters 399 1-person unit created by splitting large household 998 Unknown 999 NIU (not in universe) Group Quarters Variables -- HOUSEHOLD Number of unrelated persons UNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ Group Quarters Variables -- HOUSEHOLD 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 Puerto Rico, County group 1970 [Level 1, GIS] GEO1_PR1970 identifies the household's Public Use Microdata Area (PUMA) in Puerto Rico in 1970. PUMAs are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_PR1970 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Puerto Rico can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. 101 101 102 102 103 103 200 200 300 300 400 400 500 500 Geography: O-Z Variables -- HOUSEHOLD Puerto Rico, Metropolitan Area METROPR indicates the metropolitan area in Puerto Rico in all sample years. METROPR is harmonized by name and does not account for boundary changes over time. The full set of geography variables for Puerto Rico can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. 0 Not identifiable or not in a metro area 1 Aguadilla 2 Arecibo 3 Caguas 4 Mayagüez 5 Ponce 6 San Juan-Bayamon Geography: O-Z Variables -- HOUSEHOLD Ownership of dwelling [general version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 0 NIU (not in universe) 1 Owned 2 Not owned 9 Unknown Household Economic Variables -- HOUSEHOLD Ownership of dwelling [detailed version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 000 NIU (not in universe) 100 Owned 110 Owned, already paid 120 Owned, still paying 130 Owned, constructed 140 Owned, inherited 190 Owned, other 191 Owned, house 192 Owned, condominium 193 Apartment proprietor 194 Shared ownership 200 Not owned 210 Renting, not specified 211 Renting, government 212 Renting, local authority 213 Renting, parastatal 214 Renting, private 215 Renting, private company 216 Renting, individual 217 Renting, collective 218 Renting, joint state and individual 219 Renting, public subsidized 220 Renting, private subsidized 221 Renting, co-tenant 222 Renting, relative of tenant 223 Renting, cooperative 224 Renting, with a job or business 225 Renting, loan-backed habitation 226 Renting, mixed contract 227 Furnished dwelling 228 Sharecropping 230 Subletting 231 Rent to own 239 Renting, other 240 Occupied de facto/squatting 250 Free/usufruct (no cash rent) 251 Free, provided by employer 252 Free, without work or services 253 Free, provided by family or friend 254 Free, private 255 Free, public 256 Free, condemned 257 Free, other 260 Endowment, Waqf (Egypt historical) 290 Not owned, other 999 Unknown Household Economic Variables -- HOUSEHOLD Land ownership This variable indicates whether the land on which the dwelling was located was owned, either in full or in part, by one of the dwelling's residents. Conceivably, a resident might own land but not the dwelling on which it resides. Such a case would be classified as NIU (not in universe): only dwellings indicating that a resident owned the dwelling were asked about land ownership. 00 NIU (not in universe) 10 Land owned by a resident 11 Owned, fully paid for 12 Owned, still paying 13 Freehold tenure 14 Customary land 20 Land not owned 21 Rented 22 Ceded 23 Mailo land tenure 24 Free, occupied with consent 25 Free, occupied without consent 26 Free, consent not specified 27 Communal 28 Right to build 29 Right to use 30 Other, not specified 99 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 Cooking fuel FUELCOOK indicates the predominant type of fuel or energy used for cooking. 00 NIU (not in universe) 10 None 20 Electricity 30 Petroleum gas, unspecified 31 Gas -- piped/utility 32 Gas -- tanked or bottled 33 Propane 34 Liquefied petroleum gas 35 Gas -- piped and bottled 40 Petroleum liquid 41 Oil, kerosene, and other liquid fuels 42 Kerosene/paraffin 43 Kerosene or oil 44 Kerosene or gasoline 45 Gasoline 46 Cocinol 47 Diesel 50 Wood, coal, and other solid fuels 51 Wood and other plant fuels 52 Non-wood plant materials 53 Coal or charcoal 54 Charcoal 55 Coal 56 Wood or charcoal 60 Multiple fuels 61 Bottled gas and wood 62 Propane and electricity 63 Propane, kerosene, and electricity 64 Propane and kerosene 65 Kerosene and electrictiy 66 Other combinations 70 Other 71 Alcohol 72 Biogas 73 Discarded or waste material 74 Dung/manure 75 Other combined organic waste materials 76 Solar energy 77 Candle 99 Unknown/missing Utilities Variables -- HOUSEHOLD Telephone availability PHONE indicates the availability of a telephone in the dwelling. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Utilities Variables -- HOUSEHOLD Automobiles available AUTOS records whether a member of the household owned or had use of a vehicle and, in many samples, the number of such vehicles. 0 No autos 1 1 auto 2 2 autos 3 3 autos 4 4 autos 5 5 autos 6 6+ autos 7 Have auto, number unspecified 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Hot water heater HOTWATER indicates whether the housing unit had a water heater. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Refrigerator REFRIG indicates whether the household had a refrigerator. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Television set TV indicates whether the household had a television. 00 NIU (not in universe) 10 No 20 Yes, color or black-and-white not specified 21 1 television 22 2 televisions 23 3 televisions 24 4 televisions 25 5 televisions 26 6 televisions 27 7 televisions 28 8 televisions 29 9+ televisions 30 Yes, at least one color tv 31 1 color tv 32 2 color tvs 33 3+ televisions 40 Yes, black-and-white only 41 1 black-white tv 42 2 black-white tvs 43 3+ black-white tvs 99 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Radio in household RADIO indicates whether the household had a radio. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of rooms ROOMS indicates the number of rooms occupied by the housing unit. 00 Part of a room; no rooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD 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 Kitchen or cooking facilities KITCHEN indicates whether the household had a kitchen, cooking facilities, or room dedicated to food preparation. 00 NIU (not in universe) 10 No kitchen 11 Food is prepared in a non-kitchen room 13 Does not prepare food in the dwelling 20 Yes, have a kitchen 21 Kitchen located inside the dwelling 22 Indoor kitchen, exclusive use 23 Indoor kitchen, shared use 24 Exclusive use of kitchen (indoor/outdoor status not specified) 25 Shared use of kitchen with another household (indoor/outdoor status not specified) 26 Kitchen located outside the dwelling 27 Outdoor kitchen, exclusive use 28 Outdoor kitchen, shared use 99 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Toilet TOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation. 00 NIU (not in universe) 10 No toilet 11 No flush toilet 20 Have toilet, type not specified 21 Flush toilet 22 Non-flush, latrine 23 Non-flush, other and unspecified 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Bathing facilities BATH indicates whether the household had access to bathing facilities and, in most cases, whether it had exclusive access. 0 NIU (not in universe) 1 No bathing facility 2 Have bathing facility, exclusivity not specified 3 Have bathing facility, exclusive use 4 Have bathing facility, shared use 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Wall or building material This variable indicates the primary material used in the construction of the dwelling, particularly the dwelling's exterior walls. 000 NIU (not in universe) 100 No walls 200 Cardboard, scrap, and miscellaneous materials 201 Waste, scrap, or discarded material 202 Fabric or discarded material 203 Zinc, fabric, cardboard, tins, and waste material 204 Cardboard sheet 205 Plastic sheeting, cardboard 206 Makeshift, salvaged, or improvised materials 207 Reused materials 300 Wood 310 Rough wood 320 Wood, fibercement or plywood 330 Wood, formica, and other 340 Wood or bamboo 350 Wood or straw 400 Other plant-based materials 401 Plantain leaves and similar material 402 Bamboo or cane 403 Bamboo, sawali, cogon, nipa 404 Straw or bamboo 405 Grass, straw or reed 406 Reed, bamboo, or palm 407 Cane, palm leaves, logs 408 Palm leaves or palm planks 409 Bark, sticks, or cane 500 Masonry, stone, cement, adobe, metal, glass, and other fabricated materials (sometimes mixed with wood) 501 Brick, block, stone, or cement 502 Brick, stone, concrete 503 Brick, stone, or substitutes (dividing panels made of reinforced concrete) 504 Brick, stone, or substitutes (dividing panels made of wood) 505 Brick or tile 506 Brick or stone 507 Brick or cement block 508 Brick with plaster exterior 509 Brick without plaster exterior 510 Burnt or stabilized brick 511 Covered brick 512 Brick 513 Unburnt brick 514 Unburnt brick with cement 515 Unburnt brick with mud 516 Concrete 517 Landcrete, sandcrete 518 Cement blocks 519 Cement blocks or brick 520 Cement blocks or brick, unfinished 521 Cement and adobe bricks 522 Cement and stone block 523 Cement and tiles 524 Reinforced concrete, pre-cast concrete panels, or steel skeleton framed concrete 525 Concrete, reinforced concrete, blocks, panels 526 Fibercement 527 Adobe 528 Adobe walls with plaster exterior 529 Adobe walls without plaster exterior 530 Adobe with cement exterior 531 Wood and earth adobe 532 Wood and cement adobe 533 Mud or adobe 534 Pressed dirt 535 Clay 536 Coated clay/mud with sticks/cane 537 Clay or clay-covered sticks 538 Netted bamboo or cane with mud 539 Bundle of mud, straw, other materials 540 Mud with wood/wattle 541 Pole and mud 542 Mud with cement 543 Unfinished lathe and plaster, stucco, etc. 544 Stone 545 Hand-laid stone 546 Quarried stone 547 Cut stone and concrete 548 Cemented stone 549 Stone with clay 550 Blocks of light material 551 Prefabricated material 552 Asbestos 553 Metal or asbestos sheet 554 Metal or iron sheet 555 Metal or fibercement sheeting 556 Galvanized iron or aluminum 557 Tin 558 Glass 559 Cloth 560 Covintec panels 561 Mixed material 562 Mixed material: part wood; part concrete, brick, or stone 563 Wood plastered with clay, adobe, other materials; wood pressed panels; rolled mud bricks; etc. 564 Mixed material: wood or galvanized metal 570 Mainly permanent materials 600 Other material 601 Partition wall, lined with wood or steel 602 Partition wall, unlined 999 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Age of structure, coded from intervals AGESTRUCT2 gives the estimated age of the structure. 000 Less than 1 year old 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 99 100 100 101 101 102 102 103 103 104 104 105 105 106 106 107 107 108 108 109 109 110 110 111 111 112 112 113 113 114 114 115 115 116 116 117 117 118 118 119 119 120 120 121 121 122 122 123 123 124 124 125 125 126 126 127 127 128 128 129 129 130 130 131 131 132 132 133 133 134 134 135 135 136 136 137 137 138 138 139 139 140 140 141 141 142 142 143 143 144 144 145 145 146 146 147 147 148 148 149 149 150 150 151 151 152 152 153 153 154 154 155 155 156 156 157 157 158 158 159 159 160 160 161 161 162 162 163 163 164 164 165 165 166 166 167 167 168 168 169 169 170 170 171 171 172 172 173 173 174 174 175 175 176 176 177 177 178 178 179 179 180 180 181 181 182 182 183 183 184 184 185 185 186 186 187 187 188 188 189 189 190 190 191 191 192 192 193 193 194 194 195 195 196 196 197 197 198 198 199 199 200 200+ 997 Under construction 998 Unknown 999 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Household classification HHTYPE is a constructed variable that describes the composition of households. HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ. 00 Vacant household 01 One-person household 02 Married/cohab couple, no children 03 Married/cohab couple with children 04 Single-parent family 05 Polygamous family 06 Extended family, relatives only 07 Composite household, family and non-relatives 08 Non-family household 09 Unclassified subfamily 10 Other relative or non-relative household 11 Group quarters 99 Unclassifiable Constructed Household Variables -- HOUSEHOLD Number of families in household NFAMS is a constructed variable that indicates the number of families within each household. Family membership is defined by FAMUNIT. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and a domestic employee contains two families; a household consisting of a large, multi-generation extended family with no persons unrelated to the head counts as a single family. NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail. 0 Vacant household 1 1 family 2 2 families 3 3 families 4 4 families 5 5 families 6 6 families 7 7 families 8 8 families 9 9 or more families Constructed Household Variables -- HOUSEHOLD Number of married couples in household NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household. NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household). 0 No married couples in household 1 1 couple 2 2 couples 3 3 couples 4 4 couples 5 5 couples 6 6 couples 7 7 couples 8 8 couples 9 9 or more couples Constructed Household Variables -- HOUSEHOLD Number of mothers in household NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household. NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household). 0 No mothers in household 1 1 mother 2 2 mothers 3 3 mothers 4 4 mothers 5 5 mothers 6 6 mothers 7 7 mothers 8 8 mothers 9 9 or more mothers in household Constructed Household Variables -- HOUSEHOLD Number of fathers in household NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household. NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household). 0 No fathers in household 1 1 father 2 2 fathers 3 3 fathers 4 4 fathers 5 5 fathers 6 6 fathers 7 7 fathers 8 8 fathers 9 9 or more fathers in household Constructed Household Variables -- HOUSEHOLD Head's location in household HEADLOC gives the person number (PERNUM) of the head of household in samples in which persons are organized into households. HEADLOC is a 3-digit numeric variable. Constructed Household Variables -- HOUSEHOLD Dwelling number Puerto Rico 1970: All households This variable identifies the dwelling number. This is a 4-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Number of persons in household Puerto Rico 1970: All households This variable identifies the number of persons in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 18 18 19 19 Technical Household Variables -- HOUSEHOLD Subsample number Puerto Rico 1970: All households This variable identifies the subsample number. 00 First 1% subsample 01 2nd 1% subsample 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 Technical Household Variables -- HOUSEHOLD Metropolitan area Puerto Rico 1970: All households This variable identifies the metropolitan area of the household. 0000 Not identifiable or not in an metropolitan statistical area 0470 Arecibo, PR 7440 San Juan-Bayamon, PR Geography: O-Z Variables -- HOUSEHOLD Group quarters status <svar v="PR70A026" a="all">[For census takers use only]<br /><span class="em">C. Type of housing unit or living quarters</span><br /><span class="em"> Occupied</span><br /><div class="i1">[] First form<br />[] Continuation</div><br /><span class="em">Vacant </span><br /><div class="i1">[] Regular<br />[] Usual residence elsewhere</div><br /><span class="em">Group quarters </span><br /><div class="i1">[] First form<br />[] Continuation</div><br /></svar> Puerto Rico 1970: All households This variable identifies the group quarters status of the household. 0 Vacant unit 1 Households 3 Institutions 4 Other group quarters Group Quarters Variables -- HOUSEHOLD Group quarters type Puerto Rico 1970: Occupied, collective dwellings [discrepancies: none] This variable identifies the group quarters type. 200 Correctional institution 300 Mental institutions 411 Aged, dependent home 430 Homes neglected/depend children 440 Other institutions for children 450 Physically handicapped homes, schools and hospitals 460 Mentally handicapped homes and schools 470 TB and other chronic disease hospital 600 Military 700 College dormitory 800 Rooming house 900 Other non-institutional group quarters and unknown 999 NIU (not in universe) Group Quarters Variables -- HOUSEHOLD Farm status <svar v="PR70A028" a="all"><span class="em">H26. Determine from the Address Register - is this house on a farm?</span><br /><div class="i1">[] Yes, on a farm (Skip to H28)<br />[] No, not on a farm</div><br /></svar> Puerto Rico 1970: All households This variable identifies if the household is on a farm. 1 Non-farm 2 Farm Household Economic Variables -- HOUSEHOLD Ownership of dwelling <svar v="PR70A029" a="all"><span class="em">H8. Is your housing unit - </span><br /><div class="i1">[] Owned or being bought by you or by someone else in this household? Do not include cooperatives and condominiums here.<br />[] A cooperative or condominium which is owned or being bought by you or by someone else in your household?<br />[] Rented for cash rent?<br />[] Occupied without payment of cash rent?</div><br /></svar> Puerto Rico 1970: Occupied, private dwellings [discrepancies: none] This variable identifies the ownership of the dwelling. 10 Owned or being bought 21 No cash rent 22 With cash rent 99 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Mortgage status <svar v="PR70A110 PR70A111 PR70A030">[Ask questions H12 to H14 if housing unit it owned or being bought.]<br /></svar></p> <p><svar v="PR70A030" a="all"><span class="em">H14. It there a mortgage on this property? </span><br /><div class="i1">[] Yes<br />[] No</div><br /></svar> Puerto Rico 1970: Owner-occupied housing units [discrepancies: type I none; type II 8.9%] This variable identifies the mortgage status of the household. 1 No, owned free and clear 2 Yes, mortgaged/ deed of trust or similar debt 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD House value <svar v="PR70A031" a="all"><span class="em">H10.</span> If you live in a one-family house which you own or are buying --<br /><span class="em">What is the value of this property; that is, how much do you think this property (house and land) would sell for if it were for sale? </span><br />(If land is rented, estimate the value of the land and combine it with the value of the house.)<br /><div class="i1">[] Less than $500<br />[] $500 to $999<br />[] $1,000 to 1,999<br />[] $2,000 to 2,999<br />[] $3,000 to 3,999<br />[] $4,000 to 4,999<br />[] $5,000 to 7,499<br />[] $7,500 to $9,999<br />[] $10,000 to $14,499<br />[] $15,000 to $19,499<br />[] $20,000 to $29,999<br />[] $30,000 or more</div><br /></svar></p> <p><svar v="PR70A040 PR70A041 PR70A042 PR70A043 PR70A044 PR70A045 PR70A048 PR70A047 PR70A046 PR70A032 PR70A031 PR70A033">[For a vacant unit, also fill D, E, A, H2 to H7, and H9 to H11]<br /></svar> Puerto Rico 1970: Owner-occupied or vacant-for-sale single-family houses [discrepancies: type I none; type II 6.3%] This variable identifies the house value. 00250 Less than $500 00500 $500-$999 01500 $1,000-$1,999 02500 $2,000-$2,999 04000 $3,000-$4,999 06250 $5,000-$7,499 08750 $7,500-$9,999 12500 $10,000-$14,999 17500 $15,000-$19,999 25000 $20,000-$29,999 30000 $30,000 or more 99998 Unknown 99999 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Commercial use <svar v="PR70A032" a="all"><span class="em">H9.a. Is this building a one-family house? </span><br /><div class="i1">[] Yes, a one-family house<br />[] No, a building for 2 or more families or a mobile home or trailer (Skip to H11)</div><br /><br /><span class="em">b. If "Yes" -- Is this house on a place of 3 cuerdas or more, or is any part of this property used as a commercial establishment or medical office? </span><br /><div class="i1">[] Yes, 3 cuerdas or more<br />[] Yes, commercial establishment or medical office<br />[] No, none of the above</div><br /></svar></p> <p><svar v="PR70A040 PR70A041 PR70A042 PR70A043 PR70A044 PR70A045 PR70A048 PR70A047 PR70A046 PR70A032 PR70A031 PR70A033">[For a vacant unit, also fill D, E, A, H2 to H7, and H9 to H11]<br /></svar> Puerto Rico 1970: Single-family houses [discrepancies: none] This variable identifies the commercial use of the dwelling. 1 No commercial use 2 Yes, used commercially 4 Unknown, unit on 3+ cuerdas 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Monthly contract rent <span class="em">H11.</span></p> <p><svar v="PR70A033 PR70A034">[Answer this question if you pay rent for your housing unit.]<br /></svar></p> <p><svar v="PR70A033 PR70A034" a="all"><span class="em">a.</span> If you pay rent by the month --<br /><span class="em">What is the monthly rent?</span><br /><div class="i1">Write the amount here _____.00<br />and<br />Fill one circle here</div><br /><div class="i2">[] Less than $10<br />[] $10 to $19<br />[] $20 to $29<br />[] $30 to $39<br />[] $40 to $49<br />[] $50 to $59<br />[] $60 to $69<br />[] $70 to $79<br />[] $80 to $89<br />[] $90 to $99<br />[] $100 to $119<br />[] $120 to $149<br />[] $150 to $199<br />[] $200 or more</div><br /></svar></p> <p><svar v="PR70A033 PR70A034"><span class="em">b.</span><br />[If you do not pay monthly rent]<br /><span class="em">What is your rent, and what period of time does it cover? </span><br /><div class="i1">$ (Nearest dollar) _____.00 per (Week, half-month, year, etc.) _____</div><br /></svar></p> <p><svar v="PR70A040 PR70A041 PR70A042 PR70A043 PR70A044 PR70A045 PR70A048 PR70A047 PR70A046 PR70A032 PR70A031 PR70A033">[For a vacant unit, also fill D, E, A, H2 to H7, and H9 to H11]<br /></svar> Puerto Rico 1970: Renter-occupied units rented for cash; not one-family houses on 3+ cuerdas; not group quarters [Universe not verifiable] This variable identifies the monthly contract rent of the household. 0001 No cash rent 0002 2 0003 3 0004 4 0005 5 0006 6 0007 7 0008 8 0009 9 0010 10 0011 11 0012 12 0013 13 0014 14 0015 15 0016 16 0017 17 0018 18 0019 19 0020 20 0021 21 0022 22 0023 23 0024 24 0025 25 0026 26 0027 27 0028 28 0029 29 0030 30 0031 31 0032 32 0033 33 0034 34 0035 35 0036 36 0037 37 0038 38 0039 39 0040 40 0041 41 0042 42 0043 43 0044 44 0045 45 0046 46 0047 47 0048 48 0049 49 0050 50 0052 52 0054 54 0055 55 0057 57 0060 60 0061 61 0062 62 0063 63 0065 65 0066 66 0067 67 0068 68 0069 69 0070 70 0072 72 0073 73 0074 74 0075 75 0076 76 0077 77 0079 79 0080 80 0083 83 0085 85 0087 87 0088 88 0089 89 0090 90 0094 94 0095 95 0099 99 0100 100 0104 104 0105 105 0106 106 0107 107 0110 110 0112 112 0113 113 0114 114 0115 115 0119 119 0120 120 0125 125 0130 130 0132 132 0134 134 0135 135 0136 136 0137 137 0140 140 0145 145 0150 150 0155 155 0157 157 0158 158 0160 160 0165 165 0169 169 0170 170 0173 173 0175 175 0180 180 0185 185 0187 187 0190 190 0192 192 0200 200 0201 201 0210 210 0215 215 0216 216 0225 225 0230 230 0240 240 0245 245 0250 250 0256 256 0275 275 0300 300 0325 325 0330 330 0340 340 0350 350 0400 400 0475 475 0575 575 9999 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Monthly gross rent <span class="em">H11.</span></p> <p><svar v="PR70A033 PR70A034">[Answer this question if you pay rent for your housing unit.]<br /></svar></p> <p><svar v="PR70A033 PR70A034" a="all"><span class="em">a.</span> If you pay rent by the month --<br /><span class="em">What is the monthly rent?</span><br /><div class="i1">Write the amount here _____.00<br />and<br />Fill one circle here</div><br /><div class="i2">[] Less than $10<br />[] $10 to $19<br />[] $20 to $29<br />[] $30 to $39<br />[] $40 to $49<br />[] $50 to $59<br />[] $60 to $69<br />[] $70 to $79<br />[] $80 to $89<br />[] $90 to $99<br />[] $100 to $119<br />[] $120 to $149<br />[] $150 to $199<br />[] $200 or more</div><br /></svar></p> <p><svar v="PR70A033 PR70A034"><span class="em">b.</span><br />[If you do not pay monthly rent]<br /><span class="em">What is your rent, and what period of time does it cover? </span><br /><div class="i1">$ (Nearest dollar) _____.00 per (Week, half-month, year, etc.) _____</div><br /></svar></p> <p><svar v="PR70A034 PR70A035 PR70A036 PR70A037 PR70A038">[Ask question H15 if rented for cash.]<br /></svar></p> <p><svar v="PR70A034 PR70A035 PR70A036 PR70A037 PR70A038"><span class="em">H15. In addition to the rent entered in H11, do you also pay for - </span><br /></svar></p> <p><svar v="PR70A035 PR70A034" a="PR70A035"><span class="em">a. Electricity? </span><br /><div class="i1">[] Yes, average monthly cost is</div><br /><div class="i2">$_____.00</div><br /><div class="i2">[] No, included in rent<br />[] No, electricity not used</div><br /></svar></p> <p><svar v="PR70A036 PR70A034" a="PR70A036"><span class="em">b. Gas? </span><br /><div class="i1">[] Yes, average monthly cost is</div><br /><div class="i2">$_____.00</div><br /><div class="i1">[] No, included in rent<br />[] No, gas not used</div><br /></svar></p> <p><svar v="PR70A037 PR70A034" a="PR70A037"><span class="em">c. Water? </span><br /><div class="i1">[] Yes, yearly cost is</div><br /><div class="i2">$______.00</div><br /><div class="i1">[] No, included in rent or no charge</div><br /></svar></p> <p><svar v="PR70A038 PR70A034" a="PR70A038"><span class="em">d. Oil, kerosene, charcoal, wood, etc.? </span><br /><div class="i1">[] Yes, yearly cost is</div><br /><div class="i2">$_____.00</div><br /><div class="i1">[] No, included in rent<br />[] No, these fuels not used</div><br /></svar> Puerto Rico 1970: Renter-occupied units rented for cash; not one-family houses on 3+ cuerdas; not group quarters [Universe not verifiable] This variable identifies the monthly gross rent of the household. This is a 4-digit numeric variable. Codes0 = NIU (not in universe). Household Economic Variables -- HOUSEHOLD Annual electricity cost <svar v="PR70A034 PR70A035 PR70A036 PR70A037 PR70A038">[Ask question H15 if rented for cash.]<br /></svar></p> <p><svar v="PR70A034 PR70A035 PR70A036 PR70A037 PR70A038"><span class="em">H15. In addition to the rent entered in H11, do you also pay for - </span><br /></svar></p> <p><svar v="PR70A035 PR70A034" a="PR70A035"><span class="em">a. Electricity? </span><br /><div class="i1">[] Yes, average monthly cost is</div><br /><div class="i2">$_____.00</div><br /><div class="i2">[] No, included in rent<br />[] No, electricity not used</div><br /></svar> Puerto Rico 1970: Renter-occupied units rented for cash; not one-family houses on 3+ cuerdas; not group quarters [Universe not verifiable] This variable identifies the annual electricity cost for the household. 0012 12 0024 24 0036 36 0048 48 0060 60 0072 72 0084 84 0096 96 0108 108 0120 120 0132 132 0144 144 0156 156 0168 168 0180 180 0192 192 0204 204 0216 216 0228 228 0240 240 0252 252 0264 264 0276 276 0288 288 0300 300 0312 312 0336 336 0360 360 0384 384 0408 408 0420 420 0432 432 0480 480 0540 540 0564 564 0600 600 0648 648 0660 660 0672 672 0744 744 0840 840 0900 900 1080 1080 1176 1176 1188 1188 9994 Electricity not used 9996 Electricity included in rent 9998 Unknown 9999 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Annual gas cost <svar v="PR70A034 PR70A035 PR70A036 PR70A037 PR70A038">[Ask question H15 if rented for cash.]<br /></svar></p> <p><svar v="PR70A034 PR70A035 PR70A036 PR70A037 PR70A038"><span class="em">H15. In addition to the rent entered in H11, do you also pay for - </span><br /></svar></p> <p><svar v="PR70A036 PR70A034" a="PR70A036"><span class="em">b. Gas? </span><br /><div class="i1">[] Yes, average monthly cost is</div><br /><div class="i2">$_____.00</div><br /><div class="i1">[] No, included in rent<br />[] No, gas not used</div><br /></svar> Puerto Rico 1970: Renter-occupied units rented for cash; not one-family houses on 3+ cuerdas; not group quarters [Universe not verifiable] This variable identifies the annual gas cost for the household. 001 1 002 2 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 015 15 020 20 022 22 025 25 036 36 040 40 060 60 099 99 998 Unknown 999 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Annual water cost <svar v="PR70A034 PR70A035 PR70A036 PR70A037 PR70A038">[Ask question H15 if rented for cash.]<br /></svar></p> <p><svar v="PR70A034 PR70A035 PR70A036 PR70A037 PR70A038"><span class="em">H15. In addition to the rent entered in H11, do you also pay for - </span><br /></svar></p> <p><svar v="PR70A037 PR70A034" a="PR70A037"><span class="em">c. Water? </span><br /><div class="i1">[] Yes, yearly cost is</div><br /><div class="i2">$______.00</div><br /><div class="i1">[] No, included in rent or no charge</div><br /></svar> Puerto Rico 1970: Renter-occupied units rented for cash; not one-family houses on 3+ cuerdas; not group quarters [Universe not verifiable] This variable identifies the annual water cost for the household. 001 1 002 2 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 038 38 039 39 040 40 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 052 52 054 54 057 57 059 59 060 60 062 62 063 63 064 64 065 65 066 66 067 67 068 68 070 70 072 72 075 75 078 78 080 80 084 84 085 85 090 90 094 94 096 96 098 98 100 100 106 106 108 108 110 110 119 119 120 120 125 125 128 128 132 132 140 140 144 144 150 150 154 154 156 156 168 168 170 170 180 180 192 192 196 196 228 228 240 240 244 244 300 300 350 350 360 360 998 Unknown 999 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Annual home heating fuel cost <svar v="PR70A034 PR70A035 PR70A036 PR70A037 PR70A038">[Ask question H15 if rented for cash.]<br /></svar></p> <p><svar v="PR70A034 PR70A035 PR70A036 PR70A037 PR70A038"><span class="em">H15. In addition to the rent entered in H11, do you also pay for - </span><br /></svar></p> <p><svar v="PR70A038 PR70A034" a="PR70A038"><span class="em">d. Oil, kerosene, charcoal, wood, etc.? </span><br /><div class="i1">[] Yes, yearly cost is</div><br /><div class="i2">$_____.00</div><br /><div class="i1">[] No, included in rent<br />[] No, these fuels not used</div><br /></svar> Puerto Rico 1970: Renter-occupied units rented for cash; not one-family houses on 3+ cuerdas; not group quarters [Universe not verifiable] This variable identifies the annual home heating fuel cost for the household. 002 2 003 3 004 4 005 5 006 6 008 8 010 10 011 11 012 12 013 13 014 14 015 15 020 20 021 21 023 23 024 24 025 25 030 30 031 31 033 33 036 36 040 40 045 45 046 46 048 48 050 50 055 55 060 60 070 70 072 72 084 84 090 90 120 120 125 125 140 140 150 150 200 200 998 Unknown 999 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Total family income Puerto Rico 1970: Occupied, private dwellings [discrepancies: none] This variable identifies the total family income of the household. This is a 6-digit numeric variable. Codes999999 = NIU. Household Economic Variables -- HOUSEHOLD Vacancy status <svar v="PR70A040 PR70A041 PR70A042 PR70A043 PR70A044 PR70A045 PR70A048 PR70A047 PR70A046 PR70A032 PR70A031 PR70A033">[For a vacant unit, also fill D, E, A, H2 to H7, and H9 to H11]<br /></svar></p> <p><svar v="PR70A040 PR70A041"><span class="em">D. Vacancy status </span><br /></svar></p> <p><svar v="PR70A040" a="all"><span class="em">Year round -- </span><br /><div class="i1">[] For rent<br />[] For sale only<br />[] Rented or sold, not occupied<br />[] Held for occasional use<br />[] Other vacant<br />[] Seasonal</div><br /></svar> Puerto Rico 1970: Vacant units [discrepancies: none] This variable identifies the vacancy status of the dwelling. 01 For rent 02 For sale only 03 Rented or sold but not (yet) occupied 05 For occasional use 06 For seasonal use 09 Other vacant 99 NIU (not in universe) Other Household Variables -- HOUSEHOLD Duration of vacancy <svar v="PR70A040 PR70A041 PR70A042 PR70A043 PR70A044 PR70A045 PR70A048 PR70A047 PR70A046 PR70A032 PR70A031 PR70A033">[For a vacant unit, also fill D, E, A, H2 to H7, and H9 to H11]<br /></svar></p> <p><svar v="PR70A040 PR70A041"><span class="em">D. Vacancy status </span><br /></svar></p> <p><svar v="PR70A041" a="all"><span class="em">E. Months vacant </span><br /><div class="i1">[] Less than 1 month<br />[] 1 up to 2 months<br />[] 2 up to 6 months<br />[] 6 up to 12 months<br />[] 1 year up to 2 years<br />[] 2 years or more</div><br /></svar> Puerto Rico 1970: Vacant units [discrepancies: none] This variable identifies the duration of vacancy of the dwelling. 1 Less than 1 month 2 1-2 months 3 2-6 months 4 6-12 months 5 12-24 months 6 More than 24 months 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Access to unit <svar v="PR70A042" a="all"><span class="em">H2. Do you enter your living quarters -- </span><br /><div class="i1">[] Directly from the outside or through a common or public hall?<br />[] Through someone else's living quarters?</div><br /></svar></p> <p><svar v="PR70A040 PR70A041 PR70A042 PR70A043 PR70A044 PR70A045 PR70A048 PR70A047 PR70A046 PR70A032 PR70A031 PR70A033">[For a vacant unit, also fill D, E, A, H2 to H7, and H9 to H11]<br /></svar> Puerto Rico 1970: All households except group quarters [discrepancies: none] This variable identifies the access to the unit. 1 Direct access 2 Indirect access 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Kitchen or cooking facilities <svar v="PR70A043" a="all"><span class="em">H3. Do you have complete kitchen facilities? </span><br />(Include a range, stove, or portable cooking facilities if used regularly in the preparation of meals.)<br /><div class="i1">[] Yes, for this household only<br />[] Yes, but also used by another household<br />[] No cooking facilities</div><br /></svar></p> <p><svar v="PR70A040 PR70A041 PR70A042 PR70A043 PR70A044 PR70A045 PR70A048 PR70A047 PR70A046 PR70A032 PR70A031 PR70A033">[For a vacant unit, also fill D, E, A, H2 to H7, and H9 to H11]<br /></svar> Puerto Rico 1970: All households except group quarters [discrepancies: none] This variable identifies the kitchen or cooking facilities for the household. 1 No 3 Yes, shared use 5 Yes, exclusive use 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of rooms <svar v="PR70A044" a="all"><span class="em">H4. How many rooms do you have in your living quarters? </span><br />(Count bedrooms, kitchen, living room, etc. but not the bathroom.)<br /><div class="i1">[] 1 room<br />[] 2 rooms<br />[] 3 rooms<br />[] 4 rooms<br />[] 5 rooms<br />[] 6 rooms<br />[] 7 rooms<br />[] 8 rooms<br />[] 9 rooms or more</div><br /></svar></p> <p><svar v="PR70A040 PR70A041 PR70A042 PR70A043 PR70A044 PR70A045 PR70A048 PR70A047 PR70A046 PR70A032 PR70A031 PR70A033">[For a vacant unit, also fill D, E, A, H2 to H7, and H9 to H11]<br /></svar> Puerto Rico 1970: All households except group quarters [discrepancies: none] This variable identifies the number of rooms in the dwelling. 01 1 room 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Plumbing facilities <svar v="PR70A046 PR70A045" a="all"><span class="em">H5. Is there hot and cold piped water in this structure? </span><br /><div class="i1">[] Yes, hot and cold piped water in this structure<br />[] No, only cold piped water in this structure<br />[] No piped water in this structure</div><br /></svar></p> <p><svar v="PR70A048 PR70A045" a="PR70A048"><span class="em">H6. Is there a flush toilet in this structure? </span><br /><div class="i1">[] Yes, for this household only<br />[] Yes, but also used by another household<br />[] No flush toilet</div><br /></svar></p> <p><svar v="PR70A047 PR70A045" a="PR70A047"><span class="em">H7. There a bathtub or shower in this structure? </span><br /><div class="i1">[] Yes, for this household only.<br />[] Yes, but also used by another household<br />[] No bathtub or shower</div><br /></svar></p> <p><svar v="PR70A040 PR70A041 PR70A042 PR70A043 PR70A044 PR70A045 PR70A048 PR70A047 PR70A046 PR70A032 PR70A031 PR70A033">[For a vacant unit, also fill D, E, A, H2 to H7, and H9 to H11]<br /></svar> Puerto Rico 1970: All households except group quarters and seasonal dwellings [discrepancies: type I none; type II 0.5%] This variable identifies the plumbing facilities for the household. 00 NIU (not in universe) 11 Lacking only hot water 12 Lacking other or all plumbing facilities 20 With complete plumbing 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Hot and cold piped water <svar v="PR70A046 PR70A045" a="all"><span class="em">H5. Is there hot and cold piped water in this structure? </span><br /><div class="i1">[] Yes, hot and cold piped water in this structure<br />[] No, only cold piped water in this structure<br />[] No piped water in this structure</div><br /></svar></p> <p><svar v="PR70A040 PR70A041 PR70A042 PR70A043 PR70A044 PR70A045 PR70A048 PR70A047 PR70A046 PR70A032 PR70A031 PR70A033">[For a vacant unit, also fill D, E, A, H2 to H7, and H9 to H11]<br /></svar> Puerto Rico 1970: All households except group quarters [discrepancies: none] This variable identifies whether the dwelling has the hot and cold piped water. 1 No piped water 2 Cold piped water only 3 Hot and cold piped water 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Bathtub or shower <svar v="PR70A047 PR70A045" a="PR70A047"><span class="em">H7. There a bathtub or shower in this structure? </span><br /><div class="i1">[] Yes, for this household only.<br />[] Yes, but also used by another household<br />[] No bathtub or shower</div><br /></svar></p> <p><svar v="PR70A040 PR70A041 PR70A042 PR70A043 PR70A044 PR70A045 PR70A048 PR70A047 PR70A046 PR70A032 PR70A031 PR70A033">[For a vacant unit, also fill D, E, A, H2 to H7, and H9 to H11]<br /></svar> Puerto Rico 1970: All households except group quarters [discrepancies: none] This variable identifies whether the dwelling has a bathtub or shower. 1 No, no bathtub or shower 2 Yes, exclusive use 3 Yes, shared use 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Flush toilet <svar v="PR70A048 PR70A045" a="PR70A048"><span class="em">H6. Is there a flush toilet in this structure? </span><br /><div class="i1">[] Yes, for this household only<br />[] Yes, but also used by another household<br />[] No flush toilet</div><br /></svar></p> <p><svar v="PR70A040 PR70A041 PR70A042 PR70A043 PR70A044 PR70A045 PR70A048 PR70A047 PR70A046 PR70A032 PR70A031 PR70A033">[For a vacant unit, also fill D, E, A, H2 to H7, and H9 to H11]<br /></svar> Puerto Rico 1970: All households except group quarters [discrepancies: none] This variable identifies whether the dwelling has a flush toilet. 1 No, no indoor flush toilet 2 Yes, exclusive use 3 Yes, shared use 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Age of the structure <svar v="PR70A049" a="all"><span class="em">H25. About when was this building originally built?</span><br />Mark when the building was first constructed, not when it was remodeled, added to, etc.<br /><div class="i1">[] 1969 or 1970<br />[] 1965 to 1968<br />[] 1960 or 1964<br />[] 1950 to 1959<br />[] 1940 to 1949<br />[] 1939 or earlier</div><br /></svar> Puerto Rico 1970: All households except group quarters [discrepancies: none] This variable identifies the age of the structure. 1 0-1 year old 2 2-5 years 3 6-10 years 4 11-20 years 5 21-30 years 6 31+ 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Condition of housing <svar v="PR70A050" a="all"><span class="em">H34. Condition of this housing unit-- </span><br />Original construction adequate<br /><div class="i1">[] Sound<br />[] Deteriorating<br />[] Dilapidated<br />[] Original construction inadequate</div><br /></svar> Puerto Rico 1970: All households except group quarters [discrepancies: none] This variable identifies the condition of housing. 1 Sound 2 Deteriorating 3 Dilapidated 4 Original construction inadequate 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Units in structure <svar v="PR70A051" a="all"><span class="em">A. How many housing units, occupied or vacant, are in this structure? </span><br /><div class="i1">[] 1 unit detached from any other unit<br />[] 1 unit attached to one or more other units<br />[] 2 units<br />[] 3 or 4 units<br />[] 5 to 9 units<br />[] 10 to 19 units<br />[] 20 to 49 units<br />[] 50 or more units<br />[] Mobile home or trailer</div><br /></svar> Puerto Rico 1970: All households except group quarters [discrepancies: none] This variable identifies the units in structure. 03 1-family house, detached 04 1-family house, attached 05 2-family building 06 3-4 family building 07 5-9 family building 08 10-19 family building 09 20-49 family building 10 50+ family building 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Source of water <svar v="PR70A052" a="all"><span class="em">H29. What means do you use to obtain water for your housing unit?</span><br /><div class="i1">[] Public system or private company<br />[] Individual well<br />[] Cistern, tanks, or drums<br />[] Irrigation canal<br />[] Spring or other source (river, etc)</div><br /></svar> Puerto Rico 1970: All households except group quarters [discrepancies: none] This variable identifies the source of water for the household. 01 Public system or private company 02 Individual well 06 Cistern, tanks, or drums 07 Irrigation canal 09 Other 99 NIU (not in universe) Utilities Variables -- HOUSEHOLD Sewage disposal <svar v="PR70A053" a="all"><span class="em">H30. Is this structure connected to a public sewer?</span><br /><div class="i1">[] Yes<br />[] No, use septic tank<br />[] No, use other means</div><br /></svar> Puerto Rico 1970: All households except group quarters [discrepancies: none] This variable identifies whether the dwelling has sewage disposal. 1 Public sewer 2 Septic tank or cesspool 3 Other means 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Number of bedrooms <svar v="PR70A054" a="all"><span class="em">H23. How many bedrooms are there in this housing unit?</span><br /><div class="i1">(Count the rooms used mainly for sleeping even if used for other purposes.)<br />[] No bedrooms<br />[] 1 bedroom<br />[] 2 bedrooms<br />[] 3 bedrooms<br />[] 4 bedrooms<br />[] 5 bedrooms or more</div><br /></svar> Puerto Rico 1970: All households except group quarters [discrepancies: none] This variable identifies the number of bedrooms in the dwelling. 0 No bedrooms 1 1 2 2 3 3 4 4 5 5+ 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Telephone availability <svar v="PR70A055" a="all"><span class="em">H1. Is there a telephone on which people in your living quarters can be called? </span><br /><div class="i1">[] Yes. What is the phone number? _____<br />[] No</div><br /></svar> Puerto Rico 1970: All households except group quarters and vacant units [discrepancies: none] This variable identifies the telephone availability in the dwelling. 1 No, no phone available 2 Yes, phone available 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Television set <svar v="PR70A056" a="all"><span class="em">H31. Do you have a television set?</span><br />(Count sets in working order)<br /><div class="i1">[] 1 set<br />[] 2 or more sets<br />[] None</div><br /></svar> Puerto Rico 1970: All households except group quarters and vacant units [discrepancies: none] This variable identifies whether the dwelling has a television set. 0 No TV 1 1 2 2+ 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Radio <svar v="PR70A057" a="all"><span class="em">H32a. Do you have a radio? (Include car radio)</span><br /><div class="i1">[] 1 or more<br />[] None (skip to H33)</div><br /></svar> Puerto Rico 1970: All households except group quarters and vacant units [discrepancies: none] This variable identifies whether the dwelling has a radio. 0 No radio 1 1 or more 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Cooking fuel <svar v="PR70A058" a="all"><span class="em">H22. Which fuel is used most for cooking? </span><br /><div class="i1">[] Wood<br />[] Charcoal<br />[] Utility gas<br />[] Bottled or tank gas<br />[] Electricity<br />[] Kerosene, fuel oil, etc<br />[] Other fuel<br />[] No fuel used</div><br /></svar> Puerto Rico 1970: All households except group quarters and vacant units [discrepancies: type I 1%; type II none] This variable identifies the cooking fuel for the household. 01 No fuel used 02 Utility gas from underground pipes serving neighborhood 03 Bottled, tank, or liquefied petroleum gas 05 Electricity 06 Fuel oil, kerosene, and other liquid fuels 08 Charcoal 09 Wood 99 NIU (not in universe) Utilities Variables -- HOUSEHOLD Automobiles available <svar v="PR70A059" a="all"><span class="em">H33. How many passenger cars are owned or used regularly by members of this household?</span><br /><div class="i1">[] None<br />[] 1 automobile<br />[] 2 or more automobiles</div><br /></svar> Puerto Rico 1970: All households except group quarters and vacant units [discrepancies: none] This variable identifies the number of automobiles used by the household. 0 No automobile 1 1 2 2+ 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of families in household Puerto Rico 1970: All households except group quarters [discrepancies: type I none; type II 81.6%] This variable identifies the number of families in household. 0 0 families (vacant unit) 1 1 family 2 2 families 3 3 4 4 5 5 9 NIU (not in universe) Constructed Household Variables -- HOUSEHOLD Number of married couples in household Puerto Rico 1970: All households except group quarters [discrepancies: type I none; type II 35.5%] This variable identifies the number of married couples in household. 0 0 couples 1 1 2 2 3 3 9 NIU (not in universe) Constructed Household Variables -- HOUSEHOLD Number of mothers in household Puerto Rico 1970: All households except group quarters [discrepancies: type I none; type II 36.2%] This variable identifies the number of mothers in the household. 0 0 mothers 1 1 2 2 3 3 4 4 9 NIU (not in universe) Constructed Household Variables -- HOUSEHOLD Number of fathers in household Puerto Rico 1970: All households except group quarters [discrepancies: type I none; type II 44.5%] This variable identifies the number of fathers in the household. 0 0 fathers 1 1 2 2 3 3 9 NIU (not in universe) Constructed Household Variables -- HOUSEHOLD Flag for access Puerto Rico 1970: All households This variable identifies the flag for access. 0 NIU (not in universe) 3 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for closeout household record Puerto Rico 1970: All households This variable identifies the flag for closeout household record. 0 NIU (not in universe) 6 Allocated, substituted Household Imputation Flags Variables -- HOUSEHOLD Flag for autos Puerto Rico 1970: All households This variable identifies the flag for autos. 0 NIU (not in universe) 5 Allocated, indirect Household Imputation Flags Variables -- HOUSEHOLD Flag for bedrooms Puerto Rico 1970: All households This variable identifies the flag for bedrooms. 0 NIU (not in universe) 3 Allocated, direct 5 Cold deck allocation (select variables) Household Imputation Flags Variables -- HOUSEHOLD Flag for builtyr Puerto Rico 1970: All households This variable identifies the flag for builtyr. 0 NIU (not in universe) 3 Allocated, direct 5 Cold deck allocation (select variables) Household Imputation Flags Variables -- HOUSEHOLD Flag for commuse Puerto Rico 1970: All households This variable identifies the flag for commuse. 0 NIU (not in universe) 3 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for costelec Puerto Rico 1970: All households This variable identifies the fag for costelec. 0 NIU (not in universe) 3 Allocated, direct 5 Allocated, indirect Household Imputation Flags Variables -- HOUSEHOLD Flag for costelec Puerto Rico 1970: All households This variable identifies the flag for costelec. 0 NIU (not in universe) 3 Allocated, direct 5 Allocated, direct 9 Allocated, direct/indirect Household Imputation Flags Variables -- HOUSEHOLD Flag for mortgage Puerto Rico 1970: All households This variable identifies the flag for mortgage. 0 NIU (not in universe) 5 Cold deck allocation--select variables Household Imputation Flags Variables -- HOUSEHOLD Flag for costfuel Puerto Rico 1970: All households This variable identifies the flag for costfuel. 0 NIU (not in universe) 3 Allocated, direct 5 Allocated, indirect Household Imputation Flags Variables -- HOUSEHOLD Flag for costgas Puerto Rico 1970: All households This variable identifies the flag for costgas. 0 NIU (not in universe) 3 Allocated, direct 5 Allocated, indirect 9 Allocated, direct/indirect Household Imputation Flags Variables -- HOUSEHOLD Flag for costwatr Puerto Rico 1970: All households This variable identifies the flag for costwatr. 0 NIU (not in universe) 3 Allocated, direct 5 Allocated, indirect Household Imputation Flags Variables -- HOUSEHOLD Flag for costwatr Puerto Rico 1970: All households This variable identifies the flag for costwatr. 0 NIU (not in universe) 3 Allocated, direct 5 Allocated, indirect 9 Allocated, direct/indirect Household Imputation Flags Variables -- HOUSEHOLD Flag for vacdur Puerto Rico 1970: All households This variable identifies the flag for vacdur. 0 NIU (not in universe) 5 Allocated, indirect Household Imputation Flags Variables -- HOUSEHOLD Flag for fuelcook Puerto Rico 1970: All households This variable identifies the flag for fuelcook. 0 NIU (not in universe) 3 Allocated, direct 5 Allocated, indirect Household Imputation Flags Variables -- HOUSEHOLD Flag for gq Puerto Rico 1970: All households This variable identifies the flag for gq. 0 NIU (not in universe) 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for hotwater Puerto Rico 1970: All households This variable identifies the flag for hotwater. 0 NIU (not in universe) 5 Allocated, assigned Household Imputation Flags Variables -- HOUSEHOLD Flag for kitchen Puerto Rico 1970: All households This variable identifies the flag for kitchen. 0 NIU (not in universe) 5 Cold deck allocation (select variables) Household Imputation Flags Variables -- HOUSEHOLD Flag for ownershp Puerto Rico 1970: All households This variable identifies the flag for ownershp. 0 NIU (not in universe) 3 Missing 5 Illegible Household Imputation Flags Variables -- HOUSEHOLD Flag for phone Puerto Rico 1970: All households This variable identifies the flag for phone. 0 NIU (not in universe) 5 Allocated, indirect Household Imputation Flags Variables -- HOUSEHOLD Flag for radio Puerto Rico 1970: All households This variable identifies the flag for radio. 0 NIU (not in universe) 5 Allocated, indirect Household Imputation Flags Variables -- HOUSEHOLD Flag for rentgrs Puerto Rico 1970: All households This variable identifies the flag for rentgrs. 0 Not edited 3 Edited Household Imputation Flags Variables -- HOUSEHOLD Flag for rent, rent30 Puerto Rico 1970: All households This variable identifies the flag for rent, rent30. 0 NIU (not in universe) 3 Missing 5 Illegible 9 Allocated, direct/indirect Household Imputation Flags Variables -- HOUSEHOLD Flag for rooms Puerto Rico 1970: All households This variable identifies the flag for rooms. 0 NIU (not in universe) 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for sewage Puerto Rico 1970: All households This variable identifies the flag for sewage. 0 NIU (not in universe) 3 Allocated, direct Household Imputation Flags Variables -- HOUSEHOLD Flag for shower Puerto Rico 1970: All households This variable identifies the flag for shower. 0 NIU (not in universe) 3 Allocated, direct 5 Allocated, assigned (cold deck) Household Imputation Flags Variables -- HOUSEHOLD Flag for substituted household Puerto Rico 1970: All households This variable identifies the flag for substituted household. 0 Not allocated, substituted 6 Allocated, substituted Household Imputation Flags Variables -- HOUSEHOLD Flag for toilet Puerto Rico 1970: All households This variable identifies the flag for toilet. 0 NIU (not in universe) 3 Allocated, direct 5 Cold deck allocation-select variables Household Imputation Flags Variables -- HOUSEHOLD Flag for watersrc Puerto Rico 1970: All households This variable identifies the flag for watersrc. 0 NIU (not in universe) 5 Cold deck allocation, select variables Household Imputation Flags Variables -- HOUSEHOLD Flag for unitsstr Puerto Rico 1970: All households This variable identifies the flag for unitsstr. 0 NIU (not in universe) 3 Allocated, direct 5 Cold deck allocation-select variables Household Imputation Flags Variables -- HOUSEHOLD Flag for vacancy Puerto Rico 1970: All households This variable identifies the flag for vacancy. 0 NIU (not in universe) 5 Allocated, indirect Household Imputation Flags Variables -- HOUSEHOLD Flag for valueh Puerto Rico 1970: All households This variable identifies the flag for valueh. 0 NIU (not in universe) 5 Illegible Household Imputation Flags Variables -- HOUSEHOLD Flag for gqtype Puerto Rico 1970: All households This variable identifies the flag for gqtype. 0 NIU (not in universe) 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Household type Puerto Rico 1970: All households except group quarters or household fragments [discrepancies: none] This variable identifies the household type. 0 NIU (not in universe) 1 Married-couple family household 2 Male householder, no wife present 3 Female householder, no husband present 4 Male householder, living alone 5 Male householder, not living alone 6 Female householder, living alone 7 Female householder, not living alone Constructed Household Variables -- HOUSEHOLD Type and location of toilet facilities <svar v="PR70A102" a="all"><span class="em">H16. Location and type of toilet </span><br /><div class="i1">[] Flush toilet inside structure<br />[] Flush toilet outside structure, for this household only<br />[] Flush toilet outside structure, also used by another household<br />[] Privy<br />[] No flush toilet or privy</div><br /></svar> Puerto Rico 1970: All households except group quarters [discrepancies: none] This variable identifies the type and location of toilet facilities for the household. 2 Privy 3 No flush toilet or privy 4 Yes, in this house/apartment 5 Yes, in this building, shared use 6 Yes, outside, exclusive use 7 Yes, outside, shared use 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Type of construction material <svar v="PR70A103" a="all"><span class="em">H24. Type of construction</span><br /><div class="i1">Masonry walls (poured concrete, concrete blocks, stone, ornamental blocks, etc.)<br />[] With concrete slab roof<br />[] With wood frame roof<br />Wood frame walls<br />[] With masonry foundation, poured concrete, etc.<br />[] With wood base foundation<br />[] Other type of construction</div><br /></svar> Puerto Rico 1970: All households except group quarters [discrepancies: none] This variable identifies the type of construction material used for the dwelling. 1 Masonry or concrete walls - concrete slab roof 2 Masonry or concrete walls - wood frame roof 3 Wood frame walls - masonry foundation 4 Wood frame walls - wood base or wood stilt foundation 6 Other type of construction 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Location of cooking facilities <svar v="PR70A104" a="all"><span class="em">H21. Location of cooking facilities</span><br /><div class="i1">[] In this structure<br />[] In another structure<br />[] Outdoors<br />[] No cooking facilities</div><br /></svar> Puerto Rico 1970: All households except group quarters [discrepancies: none] This variable identifies the location of cooking facilities for the dwelling. 1 In this structure 2 In another structure 3 Outdoors 4 No cooking facilities 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Type of cooking facilities <svar v="PR70A105" a="all"><span class="em">H20. Type of cooking facilities </span><br /><div class="i1">[] Range or cooking stove<br />[] Portable cooking facilities<br />[] No cooking facilities</div><br /></svar> Puerto Rico 1970: All households except group quarters [discrepancies: none] This variable identifies the type of cooking facilities for the dwelling. 1 Range or cookstove 2 Portable cooking facilities 3 No cooking facilities 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Electric lighting <svar v="PR70A106" a="all"><span class="em">H28. Does this housing unit have electric lighting?</span><br /><div class="i1">[] Yes<br />[] No</div><br /></svar> Puerto Rico 1970: All households except group quarters [discrepancies: none] This variable identifies whether the dwelling has electric lighting. 1 No 2 Yes 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Type of refrigerator <svar v="PR70A107" a="all"><span class="em">H19. What type of refrigerator do you have?</span><br /><div class="i1">[] Mechanical (electric or gas)<br />[] Ice<br />[] No refrigerator</div><br /></svar> Puerto Rico 1970: All households except group quarters and vacant dwellings [discrepancies: none] This variable identifies the type of refrigerator in the dwelling. 1 Mechanical (electric or gas) 2 Ice 3 No refrigerator 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Produce fruits, vegetables, or livestock for home consumption <svar v="PR70A108" a="all"><span class="em">H27. If not on a farm - Do you produce any fruits or vegetables or keep any livestock on this place for home consumption?</span><br /><div class="i1">[] Yes<br />[] No</div><br /></svar> Puerto Rico 1970: Occupied non-farms except group quarters [discrepancies: type I none; type II 0.3%] This variable identifies the produce fruits, vegetables, or livestock for household consumption. 1 No 2 Yes 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Kitchen sink with piped water <svar v="PR70A109" a="all"><span class="em">H18. Does this housing unit have a kitchen sink with piped water?</span><br /><div class="i1">[] Yes<br />[] No</div><br /></svar> Puerto Rico 1970: All households except group quarters and vacant dwellings [discrepancies: none] This variable identifies whether the dwelling has a kitchen sink with piped water. 1 No 2 Yes 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Own or rent the land <svar v="PR70A110 PR70A111 PR70A030">[Ask questions H12 to H14 if housing unit it owned or being bought.]<br /></svar></p> <p><svar v="PR70A110" a="all"><span class="em">H12. Is the owner of the housing unit also owner of the land or does he rent the land?</span><br /><div class="i1">[] Owner or buying the land<br />[] Pays rent for the land<br />[] Does not pay rent for use of the land</div><br /></svar> Puerto Rico 1970: Owner-occupied, non-group quarters housing unit [discrepancies: none] This variable identifies whether the owner of the dwelling owns or rents the land. 1 Owned or in the process of being bought 2 Rented for cash rent 3 Does not pay rent for use of the land 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Amount paid for land rent <svar v="PR70A110 PR70A111 PR70A030">[Ask questions H12 to H14 if housing unit it owned or being bought.]<br /></svar></p> <p><svar v="PR70A111" a="all"><span class="em">H13. If the land is rented-<br />What is the monthly rent for the land?</span><br />$________________.00 (nearest dollar)<br /></svar> Puerto Rico 1970: Owner occupied, non-group quarters housing unit paying rent for the land [discrepancies: type I none; type II 0.1%] This variable identifies the amount paid for land rent. 000 NIU (not in universe) 001 1 002 2 003 3 004 4 005 5 006 6 007 7 008 8 010 10 012 12 015 15 036 36 050 50 075 75 100 100 115 115 125 125 999 Unknown Household Economic Variables -- HOUSEHOLD Location of piped water <svar v="PR70A112" a="all"><span class="em">H17. Location of piped water </span><br /><div class="i1">[] Inside structure<br />[] Outside structure, on property<br />[] Outside structure. on street, road, or highway<br />[] No piped water</div><br /></svar> Puerto Rico 1970: All households except group quarters [discrepancies: none] This variable identifies the location of piped water for the dwelling. 1 In this structure 2 Outside structure, on property 3 Outside structure, on street, road, or highway 4 No piped water 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Data quality Flag for cooklopr (location of cooking facilities) Puerto Rico 1970: All households This variable identifies the data quality flag for cooklopr (location of cooking facilities). 0 Not allocated 3 Allocated, direct 4 Allocated, indirect Household Imputation Flags Variables -- HOUSEHOLD Data quality flag for frigtypr (type of refrigerator) Puerto Rico 1970: All households This variable identifies the data quality flag for frigtypr (type of refrigerator). 0 Not allocated 3 Allocated, direct Household Imputation Flags Variables -- HOUSEHOLD Data quality flag for grownpr (produce fruits, vegetables, or livestock for home consumption) Puerto Rico 1970: All households This variable identifies the data quality flag for grownpr (produce fruits, vegetables, or livestock for home consumption). 0 Not allocated 5 Allocated, indirect Household Imputation Flags Variables -- HOUSEHOLD Data quality flag for housqual Puerto Rico 1970: All households This variable identifies the data quality flag for housqual. 0 Not allocated 4 Allocated, indirect Household Imputation Flags Variables -- HOUSEHOLD Data quality flag for kitpippr (kitchen sink with piped water) Puerto Rico 1970: All households This variable identifies the data quality flag for kitpippr (kitchen sink with piped water). 0 Not allocated 3 Allocated, direct 5 Allocated, indirect 4 Allocated, indirect Household Imputation Flags Variables -- HOUSEHOLD First data quality flag for landown Puerto Rico 1970: All households This variable identifies the first data quality flag for landown. 0 Not allocated 3 Allocated, direct Household Imputation Flags Variables -- HOUSEHOLD Second data quality flag for landown Puerto Rico 1970: All households This variable identifies the second data quality flag for landown. 0 Not allocated 5 Cold deck allocation, select variables Household Imputation Flags Variables -- HOUSEHOLD Data quality flag for landrnpr (amount paid in landrent) Puerto Rico 1970: All households This variable identifies the data quality flag for landrnpr (amount paid in landrent). 0 Not allocated 5 Allocated, indirect Household Imputation Flags Variables -- HOUSEHOLD Data quality flag for piplocpr (location of piped water) Puerto Rico 1970: All households This variable identifies the data quality flag for piplocpr (location of piped water). 0 Not allocated 3 Allocated, direct 4 Allocated, indirect Household Imputation Flags Variables -- HOUSEHOLD Data quality flag for toilet2 (type and location of toilet) Puerto Rico 1970: All households This variable identifies the data quality flag for toilet2 (type and location of toilet). 0 Not allocated 3 Allocated, direct 4 Allocated, indirect Household Imputation Flags Variables -- HOUSEHOLD Data quality flag for costfuel Puerto Rico 1970: All households This variable identifies the data quality flag for costfuel. 0 Not allocated 3 Allocated, direct 5 Allocated, indirect Household Imputation Flags Variables -- HOUSEHOLD Data quality flag for tv Puerto Rico 1970: All households This variable identifies the data quality flag for tv. 0 Not allocated 3 Allocated, direct Household Imputation Flags Variables -- HOUSEHOLD Data quality flag for cooktyp Puerto Rico 1970: All households This variable identifies the data quality flag for cooktyp. 0 Not allocated 3 Allocated, direct 4 Allocated, indirect Household Imputation Flags Variables -- HOUSEHOLD Person number PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database. PERNUM is a 4-digit numeric variable. Technical Person Variables -- PERSON Person weight PERWT indicates the number of persons in the actual population represented by the person in the sample. For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population. NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Person Variables -- PERSON Mother's location in household MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers. The method by which probable child-mother links are identified is described in PARRULE. The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of MOMLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships. To restrict MOMLOC to biological mothers, such as for own children fertility estimation, MOMLOC should be reset to zero when STEPMOM is greater than zero. MOMLOC is a 3-digit numeric variable. Codes0 = No mother of this person present in the household. 1 or higher = The person number of this person's mother Constructed Family Interrelationship Variables -- PERSON Father's location in household POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers. The method by which probable child-father links are identified is described in PARRULE. The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of POPLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships. To restrict POPLOC to biological mothers, such as for own children fertility estimation, POPLOC should be reset to zero when STEPPOP is greater than zero. POPLOC is a 3-digit numeric variable. Codes0 = No father of this person present in the household. 1 or higher = The person number of this person's father Constructed Family Interrelationship Variables -- PERSON Spouse's location in household SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses. The method by which probable spouse-spouse links are identified is described in SPRULE. The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. For more details on the construction of SPLOC, see the Comparability section of SPRULE and this paper on IPUMSI family linking methodology. SPLOC is a 3-digit numeric variable. Codes0 = No spouse of this person present in the household. 1 or higher = The person number of this person's spouse Constructed Family Interrelationship Variables -- PERSON Rule for linking parent PARRULE describes the criteria by which the IPUMS International variables MOMLOC and POPLOC linked the person to a probable mother and/or father. IPUMS International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. 00 No parent of person in household 11 Link to head or spouse, unambiguous 12 Link to head or spouse, ambiguous 21 Child-Grandchild, within empirical child cap 22 Child-Grandchild, within constructed child cap 23 Child-Grandchild, exceeds child cap 31 Specified Other Relatives, within empirical child cap 32 Specified Other Relatives, within constructed child cap 33 Specified Other Relatives, exceeds child cap 41 Other Relatives, within empirical child cap 42 Other Relatives, within constructed child cap 51 Non-Relatives, within empirical child cap 52 Non-Relatives, within constructed child cap Constructed Family Interrelationship Variables -- PERSON Rule for linking spouse SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse. IPUMS International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. 00 No spouse present 01 Rule 1: strong relationship pairing, couple adjacent 02 Rule 2: strong relationship pairing, couple not adjacent 03 Rule 3: weak relationship pairing, couple adjacent 04 Rule 4: weak relationship pairing, couple not adjacent 05 Rule 5: weak consensual union pairings 06 Rule 6: sample-specific rules (usually child-to-child) Constructed Family Interrelationship Variables -- PERSON Probable stepmother STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household. The codes for STEPMOM are as follows: 0 = Biological mother or no mother of this person present in household. 1 = Mother has no children born or surviving. 2 = Child reports mother is deceased. 3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law). 4 = Mother reports no children in the home. 5 = Age difference between mother and child was less than 12 or greater than 54 years. 6 = Child exceeds known fertility of mother. In cases where more than one criterion for a likely stepmother is met, STEPMOM will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. In cases where a mother is linked to more children than she reports in CHBORN or CHSURV, the determination of which children to flag as probable stepchildren is based first on the strength of the child-mother pairing (see PARRULE), and then on the order of children in the household roster. Since most links to a given mother will be made at the same strength level, order will often be the decisive factor in flagging probable stepmother relationships. Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population. 0 Biological mother or no mother present 1 Mother has no children born or surviving 2 Child reports mother is deceased 3 Explicitly identified step relationship 4 Mother reports no children in the home 5 Age difference implausible 6 Child exceeds known fertility of mother Constructed Family Interrelationship Variables -- PERSON Probable stepfather STEPPOP indicates whether a person's father, as identified by POPLOC, was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household. The codes for STEPPOP are as follows: 0 = Biological father or no father of this person present in household. 1 = Child reports father is deceased. 2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law). 3 = Age difference between father and child was less than 12 or greater than 54 years. In cases where more than one criterion for a likely stepfather is met, STEPPOP will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population. 0 Biological father or no father present 1 Child reports father is deceased 2 Explicitly identified step relationship 3 Age difference implausible 4 Spouse of mother 5 Identified as adopted 6 Surname difference -- male child or never-married female Constructed Family Interrelationship Variables -- PERSON Man with more than one wife linked POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. 0 No more than one wife linked via SPLOC 1 More than one wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Woman is second or higher order wife POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated. The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. 0 Person is not the 2nd or higher order wife linked via SPLOC 1 Person is the 2nd or higher order wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Family unit membership FAMUNIT is a constructed variable indicating to which family within the household a person belongs. All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). FAMUNIT is a 4-digit numeric variable. CodesIf there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on. Constructed Family Interrelationship Variables -- PERSON Number of own family members in household FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them. FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membership). The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). 0001 1 family member present 0002 2 family members present 0003 3 family members present 0004 4 0005 5 0006 6 0007 7 0008 8 0009 9 0010 10 0011 11 0012 12 0013 13 0014 14 0015 15 0016 16 0017 17 0018 18 0019 19 0020 20 0021 21 0022 22 0023 23 0024 24 0025 25 0026 26 0027 27 0028 28 0029 29 0030 30 0031 31 0032 32 0033 33 0034 34 0035 35 0036 36 0037 37 0038 38 0039 39 0040 40 0041 41 0042 42 0043 43 0044 44 0045 45 0046 46 0047 47 0048 48 0049 49 0050 50 0051 51 0052 52 0053 53 0054 54 0055 55 0056 56 0057 57 0058 58 0059 59 0060 60 0061 61 0062 62 0063 63 0064 64 0065 65 0066 66 0067 67 0068 68 0069 69 0070 70 0071 71 0072 72 0073 73 0074 74 0075 75 0076 76 0077 77 0078 78 0079 79 0080 80 0081 81 0082 82 0083 83 0084 84 0085 85 0086 86 0087 87 0088 88 0089 89 0090 90 0091 91 0092 92 0093 93 0094 94 0095 95 0096 96 0097 97 0098 98 0099 99 or more persons Constructed Family Interrelationship Variables -- PERSON Number of own children in household NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more children in household Constructed Family Interrelationship Variables -- PERSON Number of own children under age 5 in household NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more own children under age 5 in household 98 One or more children have unknown age Constructed Family Interrelationship Variables -- PERSON Age of eldest own child in household ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. ELDCH is top-coded at age 50 or older. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Age of youngest own child in household YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. YNGCH is top-coded at age 50 or older. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Relationship to household head [general version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown Demographic Variables -- PERSON Relationship to household head [detailed version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1000 Head 2000 Spouse/partner 2100 Spouse 2200 Unmarried partner 2210 Civil union 2300 Same-sex spouse/partner 3000 Child 3100 Biological child 3200 Adopted child 3300 Stepchild 3400 Child/child-in-law 3500 Child/child-in-law/grandchild 3600 Child of unmarried partner 4000 Other relative 4100 Grandchild 4110 Grandchild or great grandchild 4120 Great grandchild 4130 Great-great grandchild 4200 Parent/parent-in-law 4210 Parent 4211 Stepparent 4220 Parent-in-law 4300 Child-in-law 4301 Daughter-in-law 4302 Spouse/partner of child 4310 Unmarried partner of child 4400 Sibling/sibling-in-law 4410 Sibling 4420 Stepsibling 4430 Sibling-in-law 4431 Sibling of spouse/partner 4432 Spouse/partner of sibling 4500 Grandparent 4510 Great grandparent 4600 Parent/grandparent/ascendant 4700 Aunt/uncle 4800 Other specified relative 4810 Nephew/niece 4820 Cousin 4830 Sibling's sibling-in-law 4900 Other relative, not elsewhere classified 4910 Other relative with same family name 4920 Other relative with different family name 4930 Other relative, not specified (secondary family) 5000 Non-relative 5100 Friend/guest/visitor/partner 5110 Partner/friend 5111 Friend 5112 Partner/roommate 5113 Housemate/roommate 5120 Visitor 5130 Ex-spouse 5140 Godparent 5150 Godchild 5200 Employee 5210 Domestic employee 5220 Relative of employee, n.s. 5221 Spouse of servant 5222 Child of servant 5223 Other relative of servant 5300 Roomer/boarder/lodger/foster child 5310 Boarder 5311 Boarder or guest 5320 Lodger 5330 Foster child 5340 Tutored/foster child 5350 Tutored child 5400 Employee, boarder, or guest 5500 Other specified non-relative 5510 Agregado 5520 Temporary resident, guest 5600 Group quarters 5610 Group quarters, non-inmates 5620 Institutional inmates 5900 Non-relative, n.e.c. 6000 Other relative or non-relative 9999 Unknown Demographic Variables -- PERSON Age AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. 000 Less than 1 year 001 1 year 002 2 years 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100+ 999 Not reported/missing Demographic Variables -- PERSON Age, grouped into intervals AGE2 gives computed years of age grouped into intervals. 01 0 to 4 02 5 to 9 03 10 to 14 04 15 to 19 05 0 to 5 06 6 to 10 07 10 to 15 08 11 to 14 09 15 to 17 10 16 to 19 11 18 to 24 12 20 to 24 13 25 to 29 14 30 to 34 15 35 to 39 16 40 to 44 17 45 to 49 18 50 to 54 19 55 to 59 20 60 to 64 21 65 to 69 22 70 to 74 23 75 to 79 24 80 to 84 25 85+ 98 Unknown Demographic Variables -- PERSON Sex SEX reports the sex (gender) of the respondent. 1 Male 2 Female 9 Unknown Demographic Variables -- PERSON Marital status [general version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 0 NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing Demographic Variables -- PERSON Marital status [detailed version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 000 NIU (not in universe) 100 Single/never married 110 Engaged 111 Never married and never cohabited 200 Married or consensual union 210 Married, formally 211 Married, civil 212 Married, religious 213 Married, civil and religious 214 Married, civil or religious 215 Married, traditional/customary 216 Married, monogamous 217 Married, polygamous 219 Married, spouse absent (historical samples) 220 Consensual union 300 Separated/divorced/spouse absent 310 Separated or divorced 320 Separated or annulled 330 Separated 331 Separated legally 332 Separated de facto 333 Separated from marriage 334 Separated from consensual union 335 Separated from consensual union or marriage 340 Annulled 350 Divorced 400 Widowed 410 Widowed or divorced 411 Widowed from consensual union or marriage 412 Widowed from marriage 413 Widowed from consensual union 420 Widowed, divorced, or separated 999 Unknown/missing Demographic Variables -- PERSON Consensual union CONSENS indicates whether the respondent was in a consensual union -- a de facto marriage. 1 Yes, in consensual union 2 No, married 8 Unknown 9 NIU (not in universe) Demographic Variables -- PERSON Children ever born CHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Nativity status NATIVITY indicates whether the person was native-born or foreign-born. 0 NIU (not in universe) 1 Native-born 2 Foreign-born 9 Unknown/missing Nativity and Birthplace Variables -- PERSON Country of birth BPLCOUNTRY indicates the person's country of birth. 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11005 British Indian Ocean Territory 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11051 Ethiopia (including Eritrea) 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, other or n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo (Republic of) 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, other or n.s. 13000 Northern Africa 13010 Algeria 13011 Algeria/Tunisia 13020 Egypt 13021 Egypt/Sudan 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, other or n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, other or n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15021 Upper Volta 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15081 Guinea-Bissau and Cape Verde 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15180 Canary Islands 15999 West Africa, other or n.s. 19999 Africa, other or n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21200 St. Croix 21210 St. John 21220 St. Lucia 21230 St Thomas 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21991 Caribbean commonwealth, n.s. 21999 Caribbean, other or n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, other or n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23999 South America, other or n.s. 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 United States 24999 North America, other or n.s. 29999 Americas, other or n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 31999 Eastern Asia, other or n.s. 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32042 India/Pakistan/Bangladesh/Sri Lanka 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32101 Pakistan/Bangladesh 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32999 South-Central Asia, other or n.s. 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33999 South-Eastern Asia, other or n.s. 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34051 Abkhazia 34052 South Ossetia 34060 Iraq 34070 Israel 34071 Israel/Palestine 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34111 West Bank 34112 Gaza Strip 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34991 Middle East 34999 Western Asia, other or n.s. 39999 Asia, other or n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Bulgaria/Greece 41030 Czech Republic/Czechoslovakia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41991 Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia 41992 Central-Eastern Europe 41999 Eastern Europe, other or n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42100 Svalbard and Jan Mayen Islands 42110 Sweden 42120 United Kingdom 42999 Northern Europe, other or n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovina 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43121 Spain/Portugal 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43144 Serbia and Montenegro 43991 Gibraltar/Malta 43992 Portugal/Greece 43993 Italy, Holy See, San Marino 43999 Southern Europe, other or n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxemburg 44022 Belgium/Netherlands/Luxemburg 44030 France 44040 Germany 44042 West Germany 44043 Germany/Austria 44044 Mecklenburg-Schwerin 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44991 Belgium, Denmark, Luxembourg, Netherlands 44999 Western Europe, other or n.s. 49992 European Union 49993 European Union (original 15) 49994 Other European Union (not original 15) 49999 Europe, other or n.s. 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 52999 Melanesia, n.s. 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53060 Federated States of Micronesia 53999 Micronesia, other or n.s. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Western Samoa 54060 Eastern Samoa 54070 Tokelau 54080 Tonga 54090 Tuvalu 54100 Wallis and Futuna Isls. 54999 Polynesia, other or n.s. 55000 U.S. Pacific Possessions 55010 American Samoa 55020 Baker Island 55030 Guam 55040 Howland Island 55050 Johnston Atoll 55060 Kingman Reef 55070 Midway Islands 55080 Wake Island 55999 US Pacific, other or n.s. 59999 Oceania, other or n.s. 80000 AT SEA 90000 Other countries n.s. 99999 Unknown Nativity and Birthplace Variables -- PERSON U.S. state of birth, Puerto Rico BPLPR indicates the person's United States state of birth for residents of Puerto Rico. 01 Alabama 02 Alaska AK 04 Arizona AZ 05 Arkansas AR 06 California CA 08 Colorado CO 09 Connecticut CT 10 Delaware DE 11 District of Columbia DC 12 Florida FL 13 Georgia GA 15 Hawaii HI 17 Illinois IL 18 Indiana IN 19 Iowa IA 20 Kansas KS 21 Kentucky KY 22 Louisiana LA 23 Maine ME 24 Maryland MD 25 Massachusetts MA 26 Michigan MI 27 Minnesota MN 28 Mississippi MS 29 Missouri MO 30 Montana MT 31 Nebraska NE 32 Nevada NV 33 New Hampshire NH 34 New Jersey NJ 35 New Mexico NM 36 New York NY 37 North Carolina NC 38 North Dakota ND 39 Ohio OH 40 Oklahoma OK 41 Oregon OR 42 Pennsylvania PA 44 Rhode Island RI 45 South Carolina SC 46 South Dakota SD 47 Tennessee TN 48 Texas TX 49 Utah UT 50 Vermont VT 51 Virginia VA 53 Washington WA 54 West Virginia WV 55 Wisconsin WI 57 Wyoming WY 72 Puerto Rico 90 Other US, Outlying Areas and Territories 97 Foreign country 98 Unknown Nativity and Birthplace Variables -- PERSON Speaks English SPEAKENG indicates whether the respondent could speak English or if English was the respondent's language of literacy. 1 Yes 2 No 7 Does not speak 8 Unknown 9 NIU (not in universe) Ethnicity and Language Variables -- PERSON School attendance SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census. 0 NIU (not in universe) 1 Yes 2 No, not specified 3 No, attended in the past 4 No, never attended 9 Unknown/missing Education Variables -- PERSON Literacy LIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both. 0 NIU (not in universe) 1 No, illiterate 2 Yes, literate 9 Unknown/missing Education Variables -- PERSON Educational attainment, international recode [general version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 0 NIU (not in universe) 1 Less than primary completed 2 Primary completed 3 Secondary completed 4 University completed 9 Unknown Education Variables -- PERSON Educational attainment, international recode [detailed version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 000 NIU (not in universe) 100 Less than primary completed (n.s.) 110 No schooling 120 Some primary completed 130 Primary (4 yrs) completed 211 Primary (5 yrs) completed 212 Primary (6 yrs) completed 221 Lower secondary general completed 222 Lower secondary technical completed 311 Secondary, general track completed 312 Some college completed 320 Secondary or post-secondary technical completed 321 Secondary, technical track completed 322 Post-secondary technical education 400 University completed 999 Unknown/missing Education Variables -- PERSON Years of schooling YRSCHOOL indicates the highest grade/level of schooling the person had completed, in years. Only formal schooling is counted. YRSCHOOL accounts for the number of years of study, regardless of the track or kind of study. Information on degree and/or technical track is available in EDATTAIN. Years of schooling for Israel, categorized into intervals, are given in YRSCHOOL2. Users should pay close attention to the top-codes in each sample, as discussed in the comparability section. 00 None or pre-school 01 1 year 02 2 years 03 3 years 04 4 years 05 5 years 06 6 years 07 7 years 08 8 years 09 9 years 10 10 years 11 11 years 12 12 years 13 13 years 14 14 years 15 15 years 16 16 years 17 17 years 18 18 years or more 90 Not specified 91 Some primary 92 Some technical after primary 93 Some secondary 94 Some tertiary 95 Adult literacy 96 Special education 98 Unknown/missing 99 NIU (not in universe) Education Variables -- PERSON Educational attainment, Puerto Rico EDUCPR indicates the person's educational attainment in Puerto Rico in terms of the level of schooling completed. 000 NIU (not in universe) 100 None 110 Nursery school 120 Kindergarten 200 Primary 210 Primary, grade 1 to 4 211 Primary, grade 1 212 Primary, grade 2 213 Primary, grade 3 214 Primary, grade 4 220 Primary, grade 5 to 8 221 Primary, grade 5 222 Primary, grade 6 223 Primary, grade 7 224 Primary, grade 8 300 High School (secondary) 301 High school, grade 9 302 High school, grade 10 303 High school, grade 11 305 High school, grade 12 306 High school graduate 307 High school graduate, regular diploma 308 High school graduate, GED or alternative credential 400 Post-secondary 401 Post-secondary, year 1 402 Post-secondary, year 2 403 Post-secondary, year 3 404 Post-secondary, year 4 405 Post-secondary, year 5 406 Post-secondary, year 6 410 Some college, no degree 420 University / College degree 421 Associate degree, type not specified 422 Associate degree, occupational 423 Associate degree, academic program 424 Bachelor's degree 425 Master's degree 426 Professional degree 427 Doctorate degree Education Variables -- PERSON Occupation, ISCO general OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money. 01 Legislators, senior officials and managers 02 Professionals 03 Technicians and associate professionals 04 Clerks 05 Service workers and shop and market sales 06 Skilled agricultural and fishery workers 07 Crafts and related trades workers 08 Plant and machine operators and assemblers 09 Elementary occupations 10 Armed forces 11 Other occupations, unspecified or n.e.c. 97 Response suppressed 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Occupation, unrecoded OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census. To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses. OCC is a 4-digit numeric variable. Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Argentina 1970 - see Variable: AR1970A_OCC3 - Occupation [3 digit] Argentina 1980 - see Variable: AR1980A_OCC - Occupation Argentina 1991 - see Variable: AR1991A_OCC - Occupation Argentina 2001 - see Variable: AR2001A_OCC4 - Occupation (4-digits) Armenia 2011 - see Variable: AM2011A_OCC - Occupation Austria 1971 - see Variable: AT1971A_OCCSM - Occupation of supporter: sub-major groups Austria 1981 - see Variable: AT1981A_OCCSM - Occupation of supporter: sub-major groups Austria 1991 - see Variable: AT1991A_OCCSM - Occupation of supporter: sub-major groups Austria 2001 - see Variable: AT2001A_OCCSM - Occupation of supporter: sub-major groups Belarus 1999 - see Variable: BY1999A_OCC2 - Occupation, 2 digits Belarus 2009 - see Variable: BY2009A_OCC - Occupation Benin 1979 - see Variable: BJ1979A_OCC - Occupation (2-digits) Benin 1992 - see Variable: BJ1992A_OCC3 - Occupation (3-digits) Benin 2002 - see Variable: BJ2002A_OCC - Occupation (3-digits) Benin 2013 - see Variable: BJ2013A_OCC - Occupation (3-digit) Bolivia 1976 - see Variable: BO1976A_OCC2 - Occupation, 2 digits Bolivia 1992 - see Variable: BO1992A_OCC - Occupation Bolivia 2001 - see Variable: BO2001A_OCC - Occupation, 3 digits Bolivia 2012 - see Variable: BO2012A_OCC2 - Occupation (3 digit) Botswana 1981 - see Variable: BW1981A_OCC - Occupation Botswana 1991 - see Variable: BW1991A_OCC - Occupation (last 30 days) Botswana 2001 - see Variable: BW2001A_OCC - Occupation in the past 7 days, 3 digit Botswana 2011 - see Variable: BW2011A_OCC - Occupation, 3-digits Brazil 1960 - see Variable: BR1960A_USUALOCC - Usual occupation Brazil 1970 - see Variable: BR1970A_MAINOCC - Principal occupation Brazil 1980 - see Variable: BR1980A_OCC - Occupation Brazil 1991 - see Variable: BR1991A_OCC - Occupation Brazil 2000 - see Variable: BR2000A_OCC - Occupation, 4 digits Brazil 2010 - see Variable: BR2010A_OCC - Occupation held from July 25 to July 31, 2010 Burkina Faso 1985 - see Variable: BF1985A_OCC - Principal occupation Burkina Faso 1996 - see Variable: BF1996A_OCC - Principal occupation Cambodia 1998 - see Variable: KH1998A_OCC - Occupation Cambodia 2004 - see Variable: KH2004A_OCC3 - Occupation (3-digits) Cambodia 2008 - see Variable: KH2008A_OCC - Occupation Cambodia 2013 - see Variable: KH2013A_OCC - Occupation (3-digits) Cambodia 2019 - see Variable: KH2019A_OCC1 - Occupation, 1-digit Cameroon 1976 - see Variable: CM1976A_OCC2 - Occupation (2 digits) Cameroon 2005 - see Variable: CM2005A_OCC - Occupation Canada 1971 - see Variable: CA1971A_OCC - Occupation Canada 1981 - see Variable: CA1981A_OCC - Occupation (1981 classification basis) Canada 1991 - see Variable: CA1991A_OCC80 - Occupation (1980 classification basis) Canada 2001 - see Variable: CA2001A_NOCS01P - Occupation (2001 national occupational classification for statistics) Canada 2011 - see Variable: CA2011A_OCC - Occupation Chile 1960 - see Variable: CL1960A_OCC - Occupation Chile 1970 - see Variable: CL1970A_OCC3 - Occupation (3-digit) Chile 1982 - see Variable: CL1982A_OCC3 - Occupation (3-digit) Chile 1992 - see Variable: CL1992A_OCC3 - Occupation (3-digit) Chile 2002 - see Variable: CL2002A_OCC - Occupation China 1982 - see Variable: CN1982A_OCC - Occupation China 1990 - see Variable: CN1990A_OCC - Occupation China 2000 - see Variable: CN2000A_OCC - Occupation (2-digit) Colombia 1964 - see Variable: CO1964A_OCC2 - Occupation (COTA, 4 digits) Colombia 1973 - see Variable: CO1973A_OCC - Occupation last week Costa Rica 1973 - see Variable: CR1973A_OCC3 - Occupation, 3 digits Costa Rica 1984 - see Variable: CR1984A_OCC - Occupation, 3 digits Costa Rica 2000 - see Variable: CR2000A_OCC3 - Occupation, 3 digits Costa Rica 2011 - see Variable: CR2011A_OCC - Occupation, 2-digit Cuba 2002 - see Variable: CU2002A_OCC - Occupation Cuba 2012 - see Variable: CU2012A_OCC3 - Main occupation (3-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_OCC2 - Current occupation (2-digit) Dominican Republic 1960 - see Variable: DO1960A_OCC - Occupation Dominican Republic 1970 - see Variable: DO1970A_OCC1 - Current occupation, 3 digits Dominican Republic 1981 - see Variable: DO1981A_OCC - Occupation Dominican Republic 2002 - see Variable: DO2002A_OCC - Occupation Dominican Republic 2010 - see Variable: DO2010A_OCC - Occupation Ecuador 1962 - see Variable: EC1962A_OCC - Occupation Ecuador 1974 - see Variable: EC1974A_OCC3 - Occupation, three digits Ecuador 1982 - see Variable: EC1982A_OCC3 - Occupation, 3 digits Ecuador 1990 - see Variable: EC1990A_OCC3 - Occupation, 3 digits Ecuador 2001 - see Variable: EC2001A_OCC - Occupation, 3 digits Ecuador 2010 - see Variable: EC2010A_OCC3 - Occupation (3 digits, ISCO 08) Egypt 1986 - see Variable: EG1986A_OCC3 - Occupation (3-digit) Egypt 2006 - see Variable: EG2006A_OCC - Primary occupation, 3-digit El Salvador 1992 - see Variable: SV1992A_OCC - Occupation (3-digit) El Salvador 2007 - see Variable: SV2007A_OCC3DIG - Occupation (3-digit) Ethiopia 1984 - see Variable: ET1984A_OCC2 - Occupation (2-digit) Ethiopia 1994 - see Variable: ET1994A_OCC - Occupation Fiji 1976 - see Variable: FJ1976A_OCC - Occupation Fiji 1986 - see Variable: FJ1986A_OCC - Occupation Fiji 1996 - see Variable: FJ1996A_OCC3 - Occupation (3 digits) Fiji 2007 - see Variable: FJ2007A_OCC3 - Occupation, 3 digits Fiji 2014 - see Variable: FJ2014A_OCC3 - Occupation (3 digits) Finland 2010 - see Variable: FI2010A_OCC - Occupation France 1962 - see Variable: FR1962A_SOCCUP - SAPHIR occupation France 1968 - see Variable: FR1968A_SOCC - SAPHIR occupation France 1975 - see Variable: FR1975A_SOCC - SAPHIR occupation France 1982 - see Variable: FR1982A_SOCC - SAPHIR occupation France 1990 - see Variable: FR1990A_SOCC - Saphir occupation France 1999 - see Variable: FR1999A_OCC - Occupation, ISCO France 2006 - see Variable: FR2006A_PROF486 - Detailed profession (4-digit) France 2011 - see Variable: FR2011A_PROF - Profession, 486 categories Germany 1970 - see Variable: DE1970A_OCC - Occupation Germany 1981 - see Variable: DE1981A_OCC - Occupation Germany 1987 - see Variable: DE1987A_OCC - Occupation Ghana 1984 - see Variable: GH1984A_OCC2 - Occupation, 2 digits Ghana 2000 - see Variable: GH2000A_OCC - Occupation Ghana 2010 - see Variable: GH2010A_OCC - Occupation (major groups) Greece 1971 - see Variable: GR1971A_OCC - Occupation Greece 1981 - see Variable: GR1981A_OCC - Occupation Greece 1991 - see Variable: GR1991A_OCC - Occupation Greece 2001 - see Variable: GR2001A_OCC - Occupation Greece 2011 - see Variable: GR2011A_OCC - Occupation Guatemala 1964 - see Variable: GT1964A_OCC3 - Occupation (3-digits) Guatemala 1973 - see Variable: GT1973A_OCC3 - Principal occupation (3-digits) Guatemala 1981 - see Variable: GT1981A_OCC3 - Principal occupation (3-digits) Guatemala 1994 - see Variable: GT1994A_OCC - Principal occupation (1-digit) Guatemala 2002 - see Variable: GT2002A_OCC3 - Principal occupation (3-digits) Guinea 1983 - see Variable: GN1983A_OCC2 - Occupation, 2 digits Guinea 1996 - see Variable: GN1996A_OCC - Occupation Guinea 2014 - see Variable: GN2014A_OCC - Occupation (3-digit) Haiti 1982 - see Variable: HT1982A_OCC - Main occupation or profession Haiti 2003 - see Variable: HT2003A_OCC2 - Occupation, 3 digits Honduras 1961 - see Variable: HN1961A_OCC - Occupation (2-digits) Honduras 1974 - see Variable: HN1974A_OCC2 - Occupation (3-digits) Honduras 1988 - see Variable: HN1988A_OCC4 - Occupation (4-digits) Honduras 2001 - see Variable: HN2001A_OCC - Occupation (4-digit) Honduras 2013 - see Variable: HN2013A_OCC3 - Occupation (3-digit) Hungary 1970 - see Variable: HU1970A_OCC - Occupation Hungary 1980 - see Variable: HU1980A_OCC - Occupation, scope of activity Hungary 1990 - see Variable: HU1990A_OCC - Occupation Hungary 2001 - see Variable: HU2001A_OCC - Occupation Hungary 2011 - see Variable: HU2011A_OCC - Occupation Indonesia 1971 - see Variable: ID1971A_OCC - Occupation Indonesia 1976 - see Variable: ID1976A_OCC - Primary occupation during past week Indonesia 1980 - see Variable: ID1980A_OCC - Primary occupation during the previous week (3 digit version) Indonesia 1985 - see Variable: ID1985A_OCC - Primary occupation Indonesia 1990 - see Variable: ID1990A_OCC - Main occupation last week Indonesia 1995 - see Variable: ID1995A_OCC - Occupation Indonesia 2005 - see Variable: ID2005A_OCC - Occupation Iran 2006 - see Variable: IR2006A_OCC4 - Occupation Iran 2011 - see Variable: IR2011A_OCC - Occupation (3-digit) Iraq 1997 - see Variable: IQ1997A_OCC - Occupation Ireland 1971 - see Variable: IE1971A_OCC - Occupation Ireland 1981 - see Variable: IE1981A_OCC - Occupation Ireland 1986 - see Variable: IE1986A_OCC - Occupation group Ireland 1991 - see Variable: IE1991A_OCC - Occupation group Ireland 1996 - see Variable: IE1996A_OCC - Occupation Ireland 2002 - see Variable: IE2002A_OCC - Occupation Ireland 2006 - see Variable: IE2006A_OCC - Occupation group Ireland 2011 - see Variable: IE2011A_OCC - Occupation (shuffled) Ireland 2016 - see Variable: IE2016A_OCC - Occupation (groups) Israel 1972 - see Variable: IL1972A_OCC - Occupation Israel 1983 - see Variable: IL1983A_OCC - Occupation Israel 1995 - see Variable: IL1995A_OCC - Occupation Israel 2008 - see Variable: IL2008A_OCC - Occupation Italy 2001 - see Variable: IT2001A_OCC - Occupation Italy 2011 - see Variable: IT2011A_WKTYPE - Type of work Jamaica 1982 - see Variable: JM1982A_OCC - Occupation during past week / in last job Jamaica 1991 - see Variable: JM1991A_OCC - Occupation during past week/in last job Jamaica 2001 - see Variable: JM2001A_OCC3 - Occupation 3-digit Jordan 2004 - see Variable: JO2004A_OCC3 - Major current occupation (3-digit) Kenya 1989 - see Variable: KE1989A_OCC4 - Occupation, 4 digits Kenya 2019 - see Variable: KE2019A_OCC3 - Occupation (3-digit) Kyrgyzstan 1999 - see Variable: KG1999A_OCC - Main activity Laos 1995 - see Variable: LA1995A_OCC1 - Main occupation in the last 12 months (1-digit) Lesotho 1996 - see Variable: LS1996A_OCC - Occupation (2-digits) Lesotho 2006 - see Variable: LS2006A_OCC - Occupation (2-digits) Liberia 1974 - see Variable: LR1974A_OCC2 - Occupation (2-digit) Liberia 2008 - see Variable: LR2008A_OCC - Occupation Malawi 1987 - see Variable: MW1987A_OCC2 - Occupation, 2 digit Malawi 1998 - see Variable: MW1998A_OCC2 - Occupation, 2-digit Malawi 2008 - see Variable: MW2008A_OCC2 - Occupation (2 digits) Malawi 2018 - see Variable: MW2018A_OCC1 - Main occupation (1-digit) Malaysia 1970 - see Variable: MY1970A_OCC - Occupation last week Malaysia 1980 - see Variable: MY1980A_OCC3 - Principal occupation last week (3 digits) Malaysia 1991 - see Variable: MY1991A_OCC3 - Principal occupation (3 digits) Malaysia 2000 - see Variable: MY2000A_OCC3 - Occupation -- 3 digits Mali 1987 - see Variable: ML1987A_OCC - Occupation last month Mali 1998 - see Variable: ML1998A_OCC - Main occupation Mali 2009 - see Variable: ML2009A_OCC - Principal occupation Mauritius 1990 - see Variable: MU1990A_OCC3 - Occupation (3-digit) Mauritius 2000 - see Variable: MU2000A_OCC4 - Occupation (4 digit) Mauritius 2011 - see Variable: MU2011A_OCC4 - Occupation (4-digit) Mexico 1960 - see Variable: MX1960A_OCC2 - Principal occupation, 2 digits Mexico 1970 - see Variable: MX1970A_OCC3 - Occupation 3 digit Mexico 1990 - see Variable: MX1990A_OCC - Occupation, 4 digits Mexico 1995 - see Variable: MX1995A_OCC - Occupation Mexico 2000 - see Variable: MX2000A_OCC4 - Occupation, 4 digits Mexico 2010 - see Variable: MX2010A_OCC - Occupation or trade Mexico 2015 - see Variable: MX2015A_OCC - Occupation Mexico 2020 - see Variable: MX2020A_OCC3 - Occupation (3-digits) Mongolia 2000 - see Variable: MN2000A_OCC - Occupation Mongolia 2010 - see Variable: MN2010A_OCC3 - Occupation 3 digits (ISCO-2008) Mongolia 2020 - see Variable: MN2020A_OCC3 - Occupation (3-digit) Morocco 1982 - see Variable: MA1982A_OCC3 - Occupation (3-digit) Morocco 1994 - see Variable: MA1994A_OCC3 - Occupation, 3-digit Morocco 2004 - see Variable: MA2004A_OCC3 - Occupation (3-digit) Morocco 2014 - see Variable: MA2014A_OCC2 - Occupation (2-digit) Mozambique 1997 - see Variable: MZ1997A_OCC2 - Occupation 3-digit Mozambique 2007 - see Variable: MZ2007A_OCC - Occupation Mozambique 2017 - see Variable: MZ2017A_OCC3 - Main occupation (3-digits ISCO 2008) Myanmar 2014 - see Variable: MM2014A_OCC - Occupation Nepal 2001 - see Variable: NP2001A_OCC - Usual occupation Nepal 2011 - see Variable: NP2011A_OCC1 - Occupation (1-digit) Netherlands 1960 - see Variable: NL1960A_OCC - Occupation Netherlands 1971 - see Variable: NL1971A_OCC - Occupation Netherlands 2001 - see Variable: NL2001A_OCC - Occupation Netherlands 2011 - see Variable: NL2011A_OCC - Occupation (1-digit) Nicaragua 1971 - see Variable: NI1971A_OCC - Occupation Nicaragua 1995 - see Variable: NI1995A_OCC - Occupation (ISCO 88, 3 digits) Nicaragua 2005 - see Variable: NI2005A_OCC3 - Occupation (ISCO 88, 3 digits) Pakistan 1973 - see Variable: PK1973A_OCC3 - Occupation Palestine 1997 - see Variable: PS1997A_OCC - Main occupation Palestine 2007 - see Variable: PS2007A_OCC - Main occupation Palestine 2017 - see Variable: PS2017A_OCC - Occupation Panama 1960 - see Variable: PA1960A_OCC4 - Occupation (4-digit) Panama 1970 - see Variable: PA1970A_OCC2 - Occupation, 2-digit Panama 1980 - see Variable: PA1980A_OCC2 - Occupation (3-digit) Panama 1990 - see Variable: PA1990A_OCC - Occupation Panama 2000 - see Variable: PA2000A_OCC - Occupation Panama 2010 - see Variable: PA2010A_OCC - Occupation, 3 digits Papua New Guinea 1980 - see Variable: PG1980A_OCC - Occupation, 3 digits Papua New Guinea 1990 - see Variable: PG1990A_OCC - Occupation Papua New Guinea 2000 - see Variable: PG2000A_OCC - Occupation (4-digit) Paraguay 1962 - see Variable: PY1962A_OCC1 - Occupation (1-digit) Paraguay 1972 - see Variable: PY1972A_OCC3 - Occupation (3 digits) Paraguay 1982 - see Variable: PY1982A_OCC3 - Occupation, 3-digits Paraguay 1992 - see Variable: PY1992A_OCC2 - Main occupation, 3 digits Paraguay 2002 - see Variable: PY2002A_OCC - Occupation (4 digits) Peru 1993 - see Variable: PE1993A_OCC - Occupation (3 digits) Peru 2007 - see Variable: PE2007A_OCC - Main occupation last week (3 digits) Peru 2017 - see Variable: PE2017A_OCC1 - Occupation (1-digit, in primary job last week) Philippines 1990 - see Variable: PH1990A_OCC - Occupation Philippines 2000 - see Variable: PH2000A_OCC - Occupation Philippines 2010 - see Variable: PH2010A_OCC3 - Usual occupation (3-digit) Poland 1978 - see Variable: PL1978A_OCC - Occupation Poland 1988 - see Variable: PL1988A_OCC - Main occupation Poland 2002 - see Variable: PL2002A_OCC - Occupation Portugal 1981 - see Variable: PT1981A_OCC - Main occupation Portugal 1991 - see Variable: PT1991A_OCC - Main occupation Portugal 2001 - see Variable: PT2001A_OCC - Main occupation Portugal 2011 - see Variable: PT2011A_OCC - Main occupation Puerto Rico 1970 - see Variable: PR1970A_OCC - Occupation Puerto Rico 1980 - see Variable: PR1980A_OCC - Occupation Puerto Rico 1990 - see Variable: PR1990A_OCC - Occupation Puerto Rico 2000 - see Variable: PR2000A_OCC - Occupation Puerto Rico 2005 - see Variable: PR2005A_OCC - Occupation Puerto Rico 2010 - see Variable: PR2010A_OCC - Occupation Puerto Rico 2015 - see Variable: PR2015A_OCC - Occupation last week Puerto Rico 2020 - see Variable: PR2020A_OCC2010 - Occupation last week, 2010 basis Romania 1992 - see Variable: RO1992A_OCC - Occupation Romania 2002 - see Variable: RO2002A_OCC4 - Occupation, 4 digits Romania 2011 - see Variable: RO2011A_OCC - Occupation (unrecoded) Rwanda 2002 - see Variable: RW2002A_OCC - Occupation Rwanda 2012 - see Variable: RW2012A_OCC2 - Occupation (3-digit) Saint Lucia 1991 - see Variable: LC1991A_OCC - Occupation Senegal 1988 - see Variable: SN1988A_OCC - Occupation Senegal 2002 - see Variable: SN2002A_OCC3 - Occupation, 3 digits Senegal 2013 - see Variable: SN2013A_OCC3 - Profession or occupation (3-digit) Sierra Leone 2004 - see Variable: SL2004A_OCC - Occupation Sierra Leone 2015 - see Variable: SL2015A_OCC - Main occupation in the past 12 months Slovakia 1991 - see Variable: SK1991A_OCC - Occupation (2-digit) Slovakia 2001 - see Variable: SK2001A_OCC2 - Occupation (2-digit) Slovakia 2011 - see Variable: SK2011A_OCC2 - Occupation (2-digit) Slovenia 2002 - see Variable: SI2002A_OCC - Occupation South Africa 1996 - see Variable: ZA1996A_OCC3 - Occupation, 3 digits South Africa 2001 - see Variable: ZA2001A_OCC - Occupation, 3 digit South Africa 2007 - see Variable: ZA2007A_OCC3 - Occupation, 3 digits South Sudan 2008 - see Variable: SS2008A_OCC - Occupation Spain 1981 - see Variable: ES1981A_OCC - Occupation Spain 1991 - see Variable: ES1991A_OCC - Occupation Spain 2001 - see Variable: ES2001A_OCC - Occupation Spain 2011 - see Variable: ES2011A_OCC - Occupation, 2-digits Sudan 2008 - see Variable: SD2008A_OCC - Occupation Suriname 2004 - see Variable: SR2004A_OCC - Occupation Suriname 2012 - see Variable: SR2012A_OCC - Occupation (groups) Switzerland 1970 - see Variable: CH1970A_ISCO - Present occupation (ISCO) Switzerland 1980 - see Variable: CH1980A_ISCO - Present occupation (ISCO-COM) Switzerland 1990 - see Variable: CH1990A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2000 - see Variable: CH2000A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2011 - see Variable: CH2011A_OCC - Current occupation (1-digit, ISCO-08) Tanzania 1988 - see Variable: TZ1988A_OCC - Occupation Tanzania 2002 - see Variable: TZ2002A_OCC - Occupation last week Tanzania 2012 - see Variable: TZ2012A_OCC - Occupation Thailand 1970 - see Variable: TH1970A_OCC - Principal occupation last year Thailand 1980 - see Variable: TH1980A_OCC - Occupation last year Thailand 1990 - see Variable: TH1990A_OCC3 - Occupation last year Thailand 2000 - see Variable: TH2000A_OCC3 - Occupation last year, 3 digits Togo 1960 - see Variable: TG1960A_OCC - Occupation (3-digits) Togo 1970 - see Variable: TG1970A_OCC3 - Occupation (3-digits) Togo 2010 - see Variable: TG2010A_OCC2 - Occupation (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_OCC - Main occupation (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_OCC - Main occupation during previous week (three digits) Trinidad and Tobago 2000 - see Variable: TT2000A_OCC - Main occupation (3 digits) Turkey 1985 - see Variable: TR1985A_OCC2 - Occupation (2-digit) Turkey 1990 - see Variable: TR1990A_OCC2 - Current occupation (2 digits) Turkey 2000 - see Variable: TR2000A_OCC2 - Current occupation, 2 digit Uganda 1991 - see Variable: UG1991A_OCC - Occupation, 3 digits Uganda 2002 - see Variable: UG2002A_OCC - Occupation, 3 digits Uganda 2014 - see Variable: UG2014A_OCC - Occupation (2-digits) United Kingdom 1961 - see Variable: UK1961A_OCC - Occupation United Kingdom 1971 - see Variable: UK1971A_OCC - Occupation United Kingdom 1991 - see Variable: UK1991A_OCC - Occupational classification United Kingdom 2001 - see Variable: UK2001A_OCC3 - Standard occupational classification 2000-minor United States 1960 - see Variable: US1960A_OCC - Occupation United States 1970 - see Variable: US1970A_OCC - Occupation United States 1980 - see Variable: US1980A_OCC - Occupation United States 1990 - see Variable: US1990A_OCC - Occupation United States 2000 - see Variable: US2000A_OCC - Occupation United States 2005 - see Variable: US2005A_OCC2000M - Occupation, 2000 basis, modal category assignment United States 2010 - see Variable: US2010A_OCC - Occupation United States 2015 - see Variable: US2015A_OCC - Occupation last week United States 2020 - see Variable: US2020A_OCC - Occupation last week Uruguay 1963 - see Variable: UY1963A_OCC2 - Primary occupation [2-digit] Uruguay 1975 - see Variable: UY1975A_OCC - Occupation (COTA, 3 digits) Uruguay 1985 - see Variable: UY1985A_OCC - Occupation during the past week Uruguay 1996 - see Variable: UY1996A_OCC - Occupation (ISCO 88, 3 digits) Uruguay 2006 - see Variable: UY2006A_OCC3 - Occupation (ISCO-88, 3 digits) Venezuela 1981 - see Variable: VE1981A_OCC3 - Occupation, 3 digits Venezuela 1990 - see Variable: VE1990A_OCC - Occupation, 3 digits Venezuela 2001 - see Variable: VE2001A_OCC - Occupation Vietnam 1989 - see Variable: VN1989A_OCC2 - Occupation, 2 digits Vietnam 1999 - see Variable: VN1999A_OCC3 - Occupation, 3 digit Vietnam 2009 - see Variable: VN2009A_OCC - Occupation Vietnam 2019 - see Variable: VN2019A_OCC1 - Occupation, 1 digit Zambia 1990 - see Variable: ZM1990A_OCC - Occupation Zambia 2000 - see Variable: ZM2000A_OCC - Main occupation last 12 months, 3 digits Zambia 2010 - see Variable: ZM2010A_OCC2 - Main occupation last 12 months, 3 digits Zimbabwe 2012 - see Variable: ZW2012A_OCC - Occupation (3-digits) Work Variables -- PERSON Industry, general recode INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples. "Industry" refers to the activity or product of the establishment or sector in which a person worked. 000 NIU (not in universe) 010 Agriculture, fishing, and forestry 020 Mining and extraction 030 Manufacturing 040 Electricity, gas, water and waste management 050 Construction 060 Wholesale and retail trade 070 Hotels and restaurants 080 Transportation, storage, and communications 090 Financial services and insurance 100 Public administration and defense 110 Services, not specified 111 Business services and real estate 112 Education 113 Health and social work 114 Other services 120 Private household services 130 Other industry, n.e.c. 998 Response suppressed 999 Unknown Work Variables -- PERSON Industry, unrecoded "Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International. IND is a 5-digit numeric variable. Some samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Argentina 1970 - see Variable: AR1970A_IND4 - Industry [4 digit] Argentina 1980 - see Variable: AR1980A_IND - Industry Argentina 1991 - see Variable: AR1991A_IND - Industry Argentina 2001 - see Variable: AR2001A_IND - Industry Armenia 2001 - see Variable: AM2001A_IND - Principal activity at place of work Armenia 2011 - see Variable: AM2011A_IND - Industry Austria 1971 - see Variable: AT1971A_INDBR - Economic activity of supporter: branch Austria 1981 - see Variable: AT1981A_INDBR - Economic activity of supporter: branch Austria 1991 - see Variable: AT1991A_INDBR - Economic activity of supporter: branch Austria 2001 - see Variable: AT2001A_INDBR - Economic activity of supporter: branch Austria 2011 - see Variable: AT2011A_IND - Industry Bangladesh 1991 - see Variable: BD1991A_IND - Industry Bangladesh 2001 - see Variable: BD2001A_IND - Main work field Bangladesh 2011 - see Variable: BD2011A_IND - Industry Belarus 2009 - see Variable: BY2009A_ECONACT - Industry Benin 1979 - see Variable: BJ1979A_IND - Industry (1-digit) Benin 1992 - see Variable: BJ1992A_IND3 - Industry (2-digits) Benin 2002 - see Variable: BJ2002A_IND2 - Industry (2-digits) Benin 2013 - see Variable: BJ2013A_IND3 - Industry (3-digit) Bolivia 1976 - see Variable: BO1976A_IND - Industry Bolivia 1992 - see Variable: BO1992A_IND3 - Activity, 3 digits Bolivia 2001 - see Variable: BO2001A_IND3 - Industry, 3 digits Bolivia 2012 - see Variable: BO2012A_IND2 - Industry (2 digit) Botswana 1981 - see Variable: BW1981A_IND - Industry Botswana 1991 - see Variable: BW1991A_IND - Industry Botswana 2001 - see Variable: BW2001A_IND - Industry Botswana 2011 - see Variable: BW2011A_IND - Industry, 3-digits Brazil 1960 - see Variable: BR1960A_INDUSTRY - Industry Brazil 1970 - see Variable: BR1970A_INDUSTRY - Industry Brazil 1980 - see Variable: BR1980A_INDUSTRY - Industry Brazil 1991 - see Variable: BR1991A_IND - Industry Brazil 2000 - see Variable: BR2000A_IND - Industry, 5 digits Brazil 2010 - see Variable: BR2010A_IND - Industry of work from July 25 to July 31, 2010 Burkina Faso 1996 - see Variable: BF1996A_IND - Branch of activity Cambodia 1998 - see Variable: KH1998A_IND - Industry Cambodia 2004 - see Variable: KH2004A_IND3 - Industry (3-digits) Cambodia 2008 - see Variable: KH2008A_IND - Industry Cambodia 2013 - see Variable: KH2013A_IND - Industry (3-digits) Cambodia 2019 - see Variable: KH2019A_IND3 - Industy (ISIC rev 4, 3-digit) Cameroon 2005 - see Variable: CM2005A_IND - Industry Canada 1971 - see Variable: CA1971A_IND - Industry Canada 1981 - see Variable: CA1981A_IND - Industry (1981 standard industrial classification) Canada 1991 - see Variable: CA1991A_IND80 - Industry (1980 standard industrial classification) Canada 2001 - see Variable: CA2001A_IND80P - Industry (1980 Standard Industrial Classification) Canada 2011 - see Variable: CA2011A_IND - Industry Chile 1960 - see Variable: CL1960A_IND - Industry Chile 1970 - see Variable: CL1970A_IND4 - Industry (4-digit) Chile 1982 - see Variable: CL1982A_IND4 - Industry (4-digit) Chile 1992 - see Variable: CL1992A_IND - Industry Chile 2002 - see Variable: CL2002A_IND - Industry Chile 2017 - see Variable: CL2017A_IND - Industry (1-digit) China 1982 - see Variable: CN1982A_INDUSTRY - Industry China 1990 - see Variable: CN1990A_IND - Industry China 2000 - see Variable: CN2000A_IND - Industry (2-digit) Colombia 1964 - see Variable: CO1964A_IND4 - Industry, 4 digits Colombia 1973 - see Variable: CO1973A_IND - Industry Colombia 1993 - see Variable: CO1993A_IND - Industry Colombia 2005 - see Variable: CO2005A_IND - Industry (2-digit) Costa Rica 1963 - see Variable: CR1963A_IND3 - Industry, 3 digits Costa Rica 1973 - see Variable: CR1973A_IND4 - Industry, 4 digits Costa Rica 1984 - see Variable: CR1984A_IND4 - Industry, 4 digits Costa Rica 2000 - see Variable: CR2000A_IND3 - Industry, 3 digits Costa Rica 2011 - see Variable: CR2011A_IND - Industry 2-digit Cuba 2002 - see Variable: CU2002A_IND - Industry Cuba 2012 - see Variable: CU2012A_IND - Industry Côte d'Ivoire 1988 - see Variable: CI1988A_IND - Industry (1-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_IND2 - Industry sector (detailed) Dominican Republic 1960 - see Variable: DO1960A_IND - Industry Dominican Republic 1970 - see Variable: DO1970A_IND1 - Industry, 3 digits Dominican Republic 1981 - see Variable: DO1981A_IND - Industry (3-digit) Dominican Republic 2002 - see Variable: DO2002A_IND - Industry Dominican Republic 2010 - see Variable: DO2010A_IND - Main activity of business Ecuador 1962 - see Variable: EC1962A_IND3 - Industry, 3 digits Ecuador 1982 - see Variable: EC1982A_IND3 - Industry Ecuador 1990 - see Variable: EC1990A_IND3 - Industry, 3 digits Ecuador 2001 - see Variable: EC2001A_IND - Industry, 3 digits Ecuador 2010 - see Variable: EC2010A_IND3 - Industry (3 digits, ISIC rev 4) Egypt 1986 - see Variable: EG1986A_IND3 - Industry (3-digit) Egypt 1996 - see Variable: EG1996A_IND3 - Industry (ISIC) Egypt 2006 - see Variable: EG2006A_IND - Industry, 3-digit El Salvador 1992 - see Variable: SV1992A_IND - Industry (3-digit) El Salvador 2007 - see Variable: SV2007A_IND3DIG - Industry (3-digit) Ethiopia 1984 - see Variable: ET1984A_IND2 - Industry Ethiopia 1994 - see Variable: ET1994A_IND - Industry Fiji 1966 - see Variable: FJ1966A_IND - Industry Fiji 1976 - see Variable: FJ1976A_IND - Industry Fiji 1986 - see Variable: FJ1986A_IND - Industry 3 digits Fiji 1996 - see Variable: FJ1996A_IND2DIG - Industry (2 digits) Fiji 2007 - see Variable: FJ2007A_IND2 - Industry, 2 digits Fiji 2014 - see Variable: FJ2014A_IND - Industry Finland 2010 - see Variable: FI2010A_IND - Industry France 1962 - see Variable: FR1962A_IND - Industry France 1968 - see Variable: FR1968A_IND41 - Industry, 41 categories France 1975 - see Variable: FR1975A_INDUN - Industry, UNO France 1982 - see Variable: FR1982A_INDUN - Industry, United Nations nomenclature France 1990 - see Variable: FR1990A_IND15 - Industry, 15 categories France 1999 - see Variable: FR1999A_INDCITI - Industry, ISIC France 2006 - see Variable: FR2006A_IND700N - Economic activity in 700 categories (2003 classification) numeric recode France 2011 - see Variable: FR2011A_IND - Industry, 732 categories Germany 1970 - see Variable: DE1970A_IND - Industry Germany 1971 - see Variable: DE1971A_IND - Industry Germany 1981 - see Variable: DE1981A_IND - Industry Germany 1987 - see Variable: DE1987A_IND - Industry Ghana 2000 - see Variable: GH2000A_IND - Industry Ghana 2010 - see Variable: GH2010A_IND - Industry (major groups) Greece 1971 - see Variable: GR1971A_IND - Industry Greece 1981 - see Variable: GR1981A_IND - Industry Greece 1991 - see Variable: GR1991A_IND - Industry Greece 2001 - see Variable: GR2001A_IND - Industry Greece 2011 - see Variable: GR2011A_IND - Industry Guatemala 1964 - see Variable: GT1964A_IND3 - Field of economic activity (3-digits) Guatemala 1973 - see Variable: GT1973A_IND3 - Industry (3-digits) Guatemala 1981 - see Variable: GT1981A_IND3 - Industry (3-digits) Guatemala 1994 - see Variable: GT1994A_IND2 - Field of economic activity (2-digits) Guatemala 2002 - see Variable: GT2002A_IND1 - Field of economic activity (1-digit) Guinea 1983 - see Variable: GN1983A_IND2 - Branch of economic activity, 2 digits Guinea 2014 - see Variable: GN2014A_IND - Industry (3-digit) Haiti 1982 - see Variable: HT1982A_IND - Branch of work Haiti 2003 - see Variable: HT2003A_IND2 - Industry, 3 digits Honduras 1961 - see Variable: HN1961A_IND - Industry (2-digits) Honduras 1974 - see Variable: HN1974A_IND - Industry (3-digits) Honduras 2001 - see Variable: HN2001A_IND - Industry (4-digit) Honduras 2013 - see Variable: HN2013A_IND3 - Economic activity (3-digit) Hungary 2001 - see Variable: HU2001A_IND - Industry, branch of economy Hungary 2011 - see Variable: HU2011A_IND - Industry Indonesia 1971 - see Variable: ID1971A_IND - Industry Indonesia 1976 - see Variable: ID1976A_IND - Industry Indonesia 1980 - see Variable: ID1980A_IND - Industry Indonesia 1985 - see Variable: ID1985A_IND - Industry of primary occupation Indonesia 1990 - see Variable: ID1990A_IND - Industry of main occupation last week Indonesia 1995 - see Variable: ID1995A_IND - Industry Indonesia 2000 - see Variable: ID2000A_IND - Industry of primary occupation Indonesia 2005 - see Variable: ID2005A_IND - Industry Indonesia 2010 - see Variable: ID2010A_IND - Industry Iran 2006 - see Variable: IR2006A_IND4 - Industry Iran 2011 - see Variable: IR2011A_IND - Industry (3-digit) Iraq 1997 - see Variable: IQ1997A_IND - Industry Ireland 1971 - see Variable: IE1971A_IND - Industry Ireland 1981 - see Variable: IE1981A_IND - Industry class Ireland 1986 - see Variable: IE1986A_IND - Industry class Ireland 1991 - see Variable: IE1991A_IND - Industry class Ireland 1996 - see Variable: IE1996A_IND - Industry class Ireland 2002 - see Variable: IE2002A_IND - Industry class Ireland 2006 - see Variable: IE2006A_IND - Industry class Ireland 2011 - see Variable: IE2011A_IND - Industry Ireland 2016 - see Variable: IE2016A_IND - Industry Israel 1972 - see Variable: IL1972A_IND - Industry Israel 1983 - see Variable: IL1983A_IND - Industry Israel 1995 - see Variable: IL1995A_IND - Industry Israel 2008 - see Variable: IL2008A_IND - Branch of economy Italy 2001 - see Variable: IT2001A_IND - Industry Italy 2011 - see Variable: IT2011A_IND - Sector of economic activity Jamaica 1982 - see Variable: JM1982A_IND - Industry or type of business during past week / in last job Jamaica 1991 - see Variable: JM1991A_IND3 - Industry during past week or in last job, 3 digits Jamaica 2001 - see Variable: JM2001A_IND3 - Industry 3-digit Jordan 2004 - see Variable: JO2004A_IND - Major current economic activity of the establishment Kenya 2019 - see Variable: KE2019A_IND1 - Industry, ISIC section Kyrgyzstan 1999 - see Variable: KG1999A_IND - Activity type of an enterprise you are working in Kyrgyzstan 2009 - see Variable: KG2009A_IND - Type of industry, enterprise or organization Laos 1995 - see Variable: LA1995A_IND2 - Main industry in the last 12 months (2-digit) Laos 2005 - see Variable: LA2005A_IND3 - Industry (ISIC 3-digit) Laos 2015 - see Variable: LA2015A_IND2 - Industry (2-digit ISIC Rev. 4) Lesotho 2006 - see Variable: LS2006A_IND - Industry (2-digits) Liberia 1974 - see Variable: LR1974A_IND - Industry (3-digit) Liberia 2008 - see Variable: LR2008A_IND - Industry Malawi 1987 - see Variable: MW1987A_IND2 - Industry, 2 digit Malawi 1998 - see Variable: MW1998A_IND4 - Industry, 4-digit Malawi 2008 - see Variable: MW2008A_IND2 - Main industry Malawi 2018 - see Variable: MW2018A_IND3 - Main industry (ISIC 2008 3-digit) Malaysia 1970 - see Variable: MY1970A_IND3 - Industry last week Malaysia 1980 - see Variable: MY1980A_IND3 - Industry last week (3 digits) Malaysia 1991 - see Variable: MY1991A_IND3 - Main industry (3 digits) Malaysia 2000 - see Variable: MY2000A_IND3 - Main industry - 3 digits Mali 1987 - see Variable: ML1987A_IND - Principal branch of employment last month Mali 1998 - see Variable: ML1998A_IND - Branch of economic activity Mali 2009 - see Variable: ML2009A_IND - Industry Mauritius 1990 - see Variable: MU1990A_IND - Industry (1-digit) Mauritius 2000 - see Variable: MU2000A_IND1 - Industry (1 digit) Mauritius 2011 - see Variable: MU2011A_IND2 - Industry (2-digit) Mexico 1960 - see Variable: MX1960A_IND - Industry Mexico 1970 - see Variable: MX1970A_IND - Industry Mexico 1990 - see Variable: MX1990A_IND5 - Industry, 5 digits Mexico 1995 - see Variable: MX1995A_IND - Industry Mexico 2000 - see Variable: MX2000A_IND3 - Industry, 3 digits Mexico 2010 - see Variable: MX2010A_IND - Industry Mexico 2015 - see Variable: MX2015A_IND - Industry Mexico 2020 - see Variable: MX2020A_IND - Industry (4-digits) Mongolia 2000 - see Variable: MN2000A_IND - Industry Mongolia 2010 - see Variable: MN2010A_IND2 - Industry, division (ISIC Revision 4) Mongolia 2020 - see Variable: MN2020A_IND3 - Main industry (3-digit) Morocco 1982 - see Variable: MA1982A_IND3 - Industry (3-digit) Morocco 1994 - see Variable: MA1994A_IND2 - Industry (2 digits) Morocco 2004 - see Variable: MA2004A_IND2 - Sector of economic activity (2-digit) Morocco 2014 - see Variable: MA2014A_IND2 - Industry (2-digit) Mozambique 1997 - see Variable: MZ1997A_IND1 - Industry Mozambique 2007 - see Variable: MZ2007A_IND - Industry Mozambique 2017 - see Variable: MZ2017A_IND2 - Main economic activity (2-digits CAE Rev.2) Myanmar 2014 - see Variable: MM2014A_IND - Industry Nepal 2001 - see Variable: NP2001A_IND - Usual industry Nepal 2011 - see Variable: NP2011A_IND - Industry (2-digit) Netherlands 1960 - see Variable: NL1960A_IND - Industry Netherlands 1971 - see Variable: NL1971A_IND - Industry Netherlands 2001 - see Variable: NL2001A_IND - Industry Netherlands 2011 - see Variable: NL2011A_IND - Industry (1-digit) Nicaragua 1971 - see Variable: NI1971A_IND3 - Industry (ISIC2), 3 digits Nicaragua 1995 - see Variable: NI1995A_IND - Industry (ISIC 3.1, 3 digits) Nicaragua 2005 - see Variable: NI2005A_IND3 - Industry (ISIC 3.1, 3 digits)) Pakistan 1973 - see Variable: PK1973A_IND2 - Industry, 2 digit Palestine 1997 - see Variable: PS1997A_IND - Industry Palestine 2007 - see Variable: PS2007A_IND - Industry Palestine 2017 - see Variable: PS2017A_IND - Industry Panama 1960 - see Variable: PA1960A_IND3 - Industry (3 digit) Panama 1970 - see Variable: PA1970A_IND3 - Industry [3 digit] Panama 1980 - see Variable: PA1980A_IND - Industry, 3-digit Panama 1990 - see Variable: PA1990A_IND3 - Industry - 3 Digits Panama 2000 - see Variable: PA2000A_IND - Economic activity, 3 digits Panama 2010 - see Variable: PA2010A_IND - Economic activity, 4 digits Papua New Guinea 1980 - see Variable: PG1980A_IND - Industry, 3 digits Papua New Guinea 2000 - see Variable: PG2000A_IND3 - Industry (3-digit) Paraguay 1962 - see Variable: PY1962A_IND3 - Industry (3 digits) Paraguay 1972 - see Variable: PY1972A_IND3 - Industry (3 digits) Paraguay 1982 - see Variable: PY1982A_IND3 - Industry, 3-digits Paraguay 1992 - see Variable: PY1992A_IND3 - Industry, 3 digits Paraguay 2002 - see Variable: PY2002A_IND - Industry (4 digits) Peru 1993 - see Variable: PE1993A_IND - Economic activity (4 digits) Peru 2007 - see Variable: PE2007A_IND - Economic activity (4-digits) Peru 2017 - see Variable: PE2017A_IND4 - Economic activity (4-digits, in primary job last week) Philippines 1990 - see Variable: PH1990A_IND - Industry Philippines 1995 - see Variable: PH1995A_IND - Industry Philippines 2000 - see Variable: PH2000A_IND - Industry Philippines 2010 - see Variable: PH2010A_IND3 - Kind of business or industry (3-digit) Poland 1978 - see Variable: PL1978A_IND - Industry (of person providing support) Poland 2002 - see Variable: PL2002A_IND - Industry (main employer) Portugal 1981 - see Variable: PT1981A_IND - Industry Portugal 1991 - see Variable: PT1991A_IND - Industry Portugal 2001 - see Variable: PT2001A_IND - Industry Portugal 2011 - see Variable: PT2011A_IND - Industry Puerto Rico 1970 - see Variable: PR1970A_IND1990 - Industry, 1990 basis Puerto Rico 1980 - see Variable: PR1980A_IND1990 - Industry, 1990 basis Puerto Rico 1990 - see Variable: PR1990A_IND - Industry Puerto Rico 2000 - see Variable: PR2000A_IND1990 - Industry, 1990 basis Puerto Rico 2005 - see Variable: PR2005A_IND1990 - Industry, 1990 basis Puerto Rico 2010 - see Variable: PR2010A_IND - Industry Puerto Rico 2015 - see Variable: PR2015A_IND - Industry Puerto Rico 2020 - see Variable: PR2020A_IND - Industry Romania 1977 - see Variable: RO1977A_IND - Industry of supporter Romania 1977 - see Variable: RO1977A_WKACT - Activity category Romania 1992 - see Variable: RO1992A_IND - Industry Romania 2002 - see Variable: RO2002A_IND - Industry Romania 2011 - see Variable: RO2011A_INDGEN - Industry (general categories) Rwanda 2002 - see Variable: RW2002A_IND - Industry Rwanda 2012 - see Variable: RW2012A_IND2 - Industry (3-digit) Saint Lucia 1991 - see Variable: LC1991A_IND3 - Industry, 2 digit Senegal 1988 - see Variable: SN1988A_IND - Industry Senegal 2013 - see Variable: SN2013A_IND3 - Industry (3-digit) Sierra Leone 2004 - see Variable: SL2004A_IND - Industry Slovenia 2002 - see Variable: SI2002A_IND - Industry South Africa 1996 - see Variable: ZA1996A_IND2 - Industry, 2 digits South Africa 2001 - see Variable: ZA2001A_IND3 - Industry, 3 digit South Africa 2007 - see Variable: ZA2007A_IND3 - Industry, 3 digit South Sudan 2008 - see Variable: SS2008A_IND - Industry Spain 1981 - see Variable: ES1981A_IND - Industry Spain 1991 - see Variable: ES1991A_IND - Activity of the establishment Spain 2001 - see Variable: ES2001A_IND - Industry Spain 2011 - see Variable: ES2011A_IND - Industry, 2-digits Sudan 2008 - see Variable: SD2008A_IND - Industry Suriname 2004 - see Variable: SR2004A_IND - Industry Suriname 2012 - see Variable: SR2012A_IND - Industry (groups) Switzerland 1970 - see Variable: CH1970A_IND - Branch of economic activity (industry) Switzerland 1980 - see Variable: CH1980A_IND - Branch of economic activity (industry) Switzerland 1990 - see Variable: CH1990A_IND - Branch of economic activity (industry) Switzerland 2000 - see Variable: CH2000A_IND - Branch of economic activity (industry) Switzerland 2011 - see Variable: CH2011A_IND2 - Industry of local unit, workplace (NOGA 2-digit) Tanzania 2002 - see Variable: TZ2002A_IND - Industry last week Tanzania 2012 - see Variable: TZ2012A_IND - Industry Thailand 1970 - see Variable: TH1970A_IND - Principal industry last year Thailand 1980 - see Variable: TH1980A_IND - Principal industry last year Thailand 1990 - see Variable: TH1990A_IND3 - Principal industry last year, 3 digits Thailand 2000 - see Variable: TH2000A_IND3 - Industry last year, 3 digits Togo 1970 - see Variable: TG1970A_IND - Industry (1-digit) Togo 2010 - see Variable: TG2010A_IND3 - Industry (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_IND - Industry (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_IND - Industry Trinidad and Tobago 2000 - see Variable: TT2000A_IND - Industry (2 digits) Turkey 1985 - see Variable: TR1985A_INDALT - Industry (2-digit) Turkey 1990 - see Variable: TR1990A_IND2 - Industry (2 digits) Turkey 2000 - see Variable: TR2000A_IND2 - Industry, 2 digit Uganda 2002 - see Variable: UG2002A_IND - Industry United Kingdom 1961 - see Variable: UK1961A_IND - Industry United Kingdom 1971 - see Variable: UK1971A_IND - Industry United Kingdom 1991 - see Variable: UK1991A_IND - Industrial classification United Kingdom 2001 - see Variable: UK2001A_IND - Industry classification United States 1960 - see Variable: US1960A_IND - Industry United States 1970 - see Variable: US1970A_IND - Industry United States 1980 - see Variable: US1980A_IND - Industry United States 1990 - see Variable: US1990A_IND - Industry United States 2000 - see Variable: US2000A_IND - Industry United States 2005 - see Variable: US2005A_IND - Industry United States 2010 - see Variable: US2010A_IND - Industry United States 2015 - see Variable: US2015A_IND - Industry United States 2020 - see Variable: US2020A_IND - Industry Uruguay 1963 - see Variable: UY1963A_IND2 - Primary industry [2-digit] Uruguay 1985 - see Variable: UY1985A_IND - Industry during the past week Uruguay 1996 - see Variable: UY1996A_IND2 - Industry (ISIC 3, 2 digits) Uruguay 2006 - see Variable: UY2006A_IND3 - Industry (ISIC rev 3, 3 digits) Venezuela 1981 - see Variable: VE1981A_IND - Industry Venezuela 1990 - see Variable: VE1990A_IND - Industry Venezuela 2001 - see Variable: VE2001A_IND - Industry Vietnam 1989 - see Variable: VN1989A_IND2 - Industry, 2 digits Vietnam 1999 - see Variable: VN1999A_IND3 - Industry, 3 digit Vietnam 2009 - see Variable: VN2009A_IND - Industry Vietnam 2019 - see Variable: VN2019A_IND3 - Industry, 3 digit Zambia 1990 - see Variable: ZM1990A_IND - Industry Zambia 2000 - see Variable: ZM2000A_IND - Type of industry, 3 digits Zambia 2010 - see Variable: ZM2010A_IND2 - Industry, 3 digits Work Variables -- PERSON Status in employment (class of worker) [general version] CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. 0 NIU (not in universe) 1 Self-employed 2 Wage/salary worker 3 Unpaid worker 4 Other 9 Unknown/missing Work Variables -- PERSON Status in employment (class of worker) [detailed version] CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. 000 NIU (not in universe) 100 Self-employed 101 Self-employed, unincorporated 102 Self-employed, incorporated 110 Employer 111 Sharecropper, employer 120 Working on own account 121 Own account, agriculture 122 Domestic worker, self-employed 123 Subsistence worker, own consumption 124 Own account, other 125 Own account, without temporary/unpaid help 126 Own account, with temporary/unpaid help 130 Member of cooperative 140 Sharecropper 141 Sharecropper, self-employed 142 Sharecropper, employee 150 Kibbutz member 199 Self-employed, not specified 200 Wage/salary worker 201 Management 202 Non-management 203 White collar (non-manual) 204 Blue collar (manual) 205 White or blue collar 206 Day laborer 207 Employee, with a permanent job 208 Employee, occasional, temporary, contract 209 Employee without legal contract 210 Wage/salary worker, private employer 211 Apprentice 212 Religious worker 213 Wage/salary worker, non-profit, NGO 214 White collar, private 215 Blue collar, private 216 Paid family worker 217 Cooperative employee 220 Wage/salary worker, government or public sector 221 Federal, government employee 222 State government employee 223 Local government employee 224 White collar, public 225 Blue collar, public 226 Public companies 227 Civil servants, local collectives 230 Domestic worker (work for private household) 240 Seasonal migrant 241 Seasonal migrant, no broker 242 Seasonal migrant, uses broker 250 Other wage and salary 251 Canal zone/commission employee 252 Government employment/training program 253 Mixed state/private enterprise/parastatal 254 Government public work program 255 State enterprise employee 256 Coordinated and continuous collaboration job 300 Unpaid worker 310 Unpaid family worker 320 Apprentice, unpaid or unspecified 330 Trainee 340 Apprentice or trainee 350 Works for others without wage 400 Other 999 Unknown/missing Work Variables -- PERSON Months worked last year WRKMTHS gives the number of months that the respondent worked for profit, pay, or as an unpaid family worker during the previous year. 00 Less than one month 01 1 month 02 2 months 03 3 months 04 4 months 05 5 months 06 6 months 07 7 months 08 8 months 09 9 months 10 10 months 11 11 months 12 12 months 98 Not reported/unknown 99 NIU (not in universe) Work Variables -- PERSON Hours worked per week, categorized HRSWORK2 indicates the number of hours the respondent worked per week at all jobs, categorized into intervals. 0 None 1 1 to 14 hours (except tt1980, tt1990 and tt2000) 2 15 to 29 hours (except de1970, ps2017, tt1980, tt1990, tt2000, and ve1971) 3 30 to 39 hours (except de1970, ps2017, tt1980, tt1990, tt2000, and ve1971) 4 40-48 hours (except il1972, tt1980, tt1990, and tt2000) 5 49 hours or more (except il1972 and tt2000) 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Actual hours worked per week, categorized HRSACTUAL2 indicates the actual number of hours the respondent worked per week at all jobs, categorized into intervals. 0 None 1 1 to 14 hours (except tt1980, tt1990, and tt2000) 2 15 to 29 hours (except ps2017, tt1980, tt1990, tt2000, and ve1971) 3 30 to 39 hours (except ps2017, tt1980, tt1990, tt2000, and ve1971) 4 40 to 48 hours (except tt1980, tt1990, and tt2000) 5 49 hours or more (except tt2000) 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Means of transportation to work or school TRNWRK identifies the primary or usual means of transportation the person took either to work or school. In censuses in which a person could report multiple modes of transportation, TRNWRK includes only the first response. 00 NIU (not in universe) 10 None, does not travel to work or school 20 Walking 21 Walks or bicycle 22 Walks, bicycle, or motorcycle 30 Private vehicle 31 Auto, truck, van 32 Auto (driver) 33 Auto (passenger) 34 Auto, motorcycle, moped 35 Motorcycle, moped, or scooter 36 Bicycle 37 Bicycle or motorcycle/moped 38 Boat 40 Public transportation 41 Bus or trolley bus 42 Bus or streetcar 43 Streetcar or trolley car 44 Railroad or train 45 Subway or elevated train 46 Other public transportation 50 Other 51 Taxicab 52 Ferryboat 53 Special transportation (company coach, school bus, etc.) 54 Hired transport 55 Shared private transport 56 Horse or animal-drawn vehicle 57 Other, not elsewhere classified 60 Combination of several means 99 Unknown/missing Work Variables -- PERSON Total income INCTOT reports the person's total personal income from all sources in the previous month or year. INCTOT is a 7-digit numeric variable. Codes9999998 = Unknown/missing. 9999999 = NIU (not in universe). Top codes:Brazil 1991: 9,999,997+ Canada 1971: 50,000+ females in Atlantic region; 75,000+ for others Canada 1981: 75,000+ all females, males in Atlantic region; 100,000+ males other regions Canada 1991-2001: 200,000+ Dominican Republic 1981: 3,000+ Dominican Republic 2002: 500,000+ Indonesia 1976: 600,000+ Mexico 1970: 5,500,000+ Panama 2010: 10,000+ Puerto Rico 1980: 50,000+ South Africa 1996: 360,001+ South Africa 2001-2011: 2,457,601+ Trinidad and Tobago 1970: 1,200+ Trinidad and Tobago 2000: 13,000+ U.S.A. 1960: 25,000+ U.S.A. 1970: 50,000+ U.S.A. 1980: 75,000+ U.S.A. 1990: State median of values over 400,000 U.S.A. 2000: 999,998+ Bottom codes:Canada 1981-2001: -50,000 Puerto Rico 2005-2020: -19,998 U.S.A. 1960: -9,900 U.S.A. 1970: -9,900 U.S.A. 1980: -9,995 U.S.A. 1990, 2005-2020: -19,998 U.S.A. 2000: -20,000 Income Variables -- PERSON Wage and salary income INCWAGE reports the respondent's weekly, monthly or annual wage and salary income. INCWAGE is a 7-digit numeric variable. Codes9999998 = Unknown/missing. 9999999 = NIU (not in universe). Top codes:Israel 1983: 74,716+ Israel 1995: 20,000+ Canada 1971: 50,000+ females in Atlantic region; 75,000+ for others Canada 1981: 75,000+ all females, males in Atlantic region; 100,000+ males other regions Canada 1991-2001: 200,000+ Dominican Republic 1981: 2000+ Germany 1970: 2,500+ Indonesia 1995: 9,999,997+ Italy Surveys 2011-2020: 3000+ Jamaica 1982: 100,000+ Jamaica 1991: 100,000+ Jamaica 2001: 3,000,000+ Panama 1970: 800+ Panama 2000: 9,997+ Panama 2010: 10,000+ Puerto Rico 1970-1980: 50,000+ Puerto Rico 1990: 140,000+ Puerto Rico 2000: 175,000+ Puerto Rico 2005: 999,999+ Puerto Rico 2010: 173,000+ Puerto Rico 2015-2020: 99.5th percentile in the state (higher values are the state means of all cases above these cutoffs.) Trinidad and Tobago 2000: 55,000+ U.S.A. 1960: 25,000+ U.S.A. 1970: 50,000+ U.S.A. 1980: 75,000+ U.S.A. 1990: State median of values over 140,000 U.S.A. 2000: State median of values over 175,000 U.S.A. 2005-2020: 99.5th percentile within each state (higher values are the state means of all cases above these cutoffs.) Income Variables -- PERSON Self-employment income INCSELF indicates the respondent's monthly or annual income from self-employment (farm and business). INCSELF is a 6-digit numeric variable. Codes999998 = Unknown/missing. 999999 = NIU (not in universe). Country-specific codes Israel 1995 Top codes:Canada 1971: 50,000+ females in Atlantic region; 75,000+ for others Canada 1981: 75,000+ all females, males in Atlantic region; 100,000+ males other regions Canada 1991-2001: 200,000+ Israel 1995: 40,000+ Israel 2008: 279,950+ Panama 2000: 9,997+ Panama 2010: 5,000+ Puerto Rico 1980: 50,000 Puerto Rico 1990: 64,146 Puerto Rico 2000: 367,000 (median of values over 126,000) Puerto Rico 2005 - 2020: 99.5th percentile in each state Trinidad and Tobago 2000: 11,000+ U.S.A. 1970: 50,000 U.S.A. 1980: 75,000 U.S.A. 1990: 171,250 U.S.A. 2000: 126,000 (State median of values over 126,000) U.S.A. 2005 - 2020: 99.5th percentile in each state Bottom codes:Canada 1981-2001: -50,000 Puerto Rico 1970: 0. Puerto Rico 1980: -9,995 Puerto Rico 1990: -4,999 Puerto Rico 2000: -10,000 Puerto Rico 2005 - 2020: -9,999 U.S.A. 1970: -9,900 U.S.A. 1980: -9,995 U.S.A. 1990: -9,999 U.S.A. 2000: -10,000 U.S.A. 2005 - 2020: -9,999 Income Variables -- PERSON Income from anti-poverty or welfare programs INCWEL reports the monthly or annual income the respondent received from anti-poverty or welfare programs. INCWEL is a 6-digit numeric variable. Codes999998 = Unknown/missing. 999999 = NIU (not in universe). Top codes:Israel 1995: 3,000+ U.S.A. 1980: 9,995+ U.S.A. 1990: 10,000+ U.S.A. 2000: State mean of values over 12,300 Puerto Rico 2000: 21,000+ Income Variables -- PERSON Migration status, 5 years MIGRATE5 indicates the person's place of residence 5 years ago. The first digit records movement across major administrative divisions and countries. The second digit reports movement across minor administrative divisions, for samples in which that detail is available. 00 NIU (not in universe) 10 Same major administrative unit 11 Same major, same minor administrative unit 12 Same major, different minor administrative unit 20 Different major administrative unit 30 Abroad 99 Unknown/missing Migration: Global Variables -- PERSON Country of residence 5 years ago MIGCTRY5 indicates the country of residence 5 years ago for international migrants. Persons who did not live abroad 5 years earlier 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 12090 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 13999 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 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 Western Africa, n.s. 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 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21280 Curacao 21290 Sint Maarten 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 22990 Central America, n.s. 22991 Central America and Caribbean 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, n.s. 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 United States 24041 U.S. Outlying Areas and Territories 24999 North or Central America, n.s. 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 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32900 South Asia, not specified 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 33900 South-Eastern Asia, not specified 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 34999 Middle East, n.e.c. 39999 Asia, n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41030 Czech Republic 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41999 Eastern Europe, n.e.c. 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 42999 Northern Europe, n.e.c. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43999 Southern Europe, n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxembourg 44022 Benelux (Belgium/Netherlands/Luxembourg) 44030 France 44040 Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44999 Western Europe, n.e.c. 49999 Europe, 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.e.c. 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. 54999 Polynesia, n.e.c. 59999 Oceania, n.s. 60000 Other 60010 Other Arab country 90000 Non-migrants (international) 99998 Response suppressed 99999 Unknown Migration: Global Variables -- PERSON Years residing in current dwelling MIGYRS2 indicates the number of years that the respondent has lived in his/her current dwelling. 00 Less than 1 year 01 1 year 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 or more 98 Unknown 99 NIU (not in universe) Migration: Global Variables -- PERSON Person number (within household) Puerto Rico 1970: All persons This variable identifies the person number (within household). 00 Household record 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 Technical Person Variables -- PERSON Person number in sample unit Puerto Rico 1970: All persons This variable identifies the person number in sample unit. 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 Technical Person Variables -- PERSON Mother's location in the household Puerto Rico 1970: All persons This variable identifies the mother's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 Constructed Family Interrelationship Variables -- PERSON Probable step/adopted mother Puerto Rico 1970: All persons This variable identifies the probable step/adopted mother. 0 No stepmother present 1 Improbable age difference 2 Spouse of father 7 Number of children born/children surviving check Constructed Family Interrelationship Variables -- PERSON Rule for linking mother Puerto Rico 1970: All persons This variable identifies the rule for linking mother. 0 No mother link 1 Unambiguous mother link 2 Daughter/grandchild link 3 Preceding female (no intervening person) 5 Daughter/grandchild (child surviving status) 6 Preceding female (child surviving status) 7 Spouse of father becomes stepmother Constructed Family Interrelationship Variables -- PERSON Father's location in the household Puerto Rico 1970: All persons This variable identifies the father's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 Constructed Family Interrelationship Variables -- PERSON Probable step/adopted father Puerto Rico 1970: All persons This variable identifies the probable step/adopted father. 0 No stepfather present 1 Improbable age difference 2 Spouse of mother Constructed Family Interrelationship Variables -- PERSON Rule for linking father Puerto Rico 1970: All persons This variable identifies the rule for linking father. 0 No father link 1 Unambiguous father link 2 Son/grandchild link 3 Preceding male (no intervening person) 7 Husband of mother becomes stepfather Constructed Family Interrelationship Variables -- PERSON Spouse's location in household Puerto Rico 1970: All persons This variable identifies the spouse's location in household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 18 18 19 19 Constructed Family Interrelationship Variables -- PERSON Rule for linking spouse Puerto Rico 1970: All persons This variable identifies the rule for linking spouse. 0 No spouse link 1 Wife follows husband 4 Adjacent links (wife follows husband -- no age, other relative conflicts) Constructed Family Interrelationship Variables -- PERSON Number of own family members in household Puerto Rico 1970: All persons This variable identifies the number of person’s own family members in household. 01 1 family member present 02 2 family members present 03 3 family members present 04 4 family members present 05 5 family members present 06 6 family members present 07 7 family members present 08 8 family members present 09 9 family members present 10 10 family members present 11 11 family members present 12 12 family members present 13 13 family members present 14 14 family members present 15 15 family members present 16 16 family members present 18 18 family members present 19 19 family members present Constructed Family Interrelationship Variables -- PERSON Number of own children in the household Puerto Rico 1970: All persons This variable identifies the number of the person’s own children in the household. 0 0 children present 1 1 child present 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ Constructed Family Interrelationship Variables -- PERSON Number of own children under age 5 in household Puerto Rico 1970: All persons This variable identifies the number of the person’s own children under age 5 in the household. 0 No children under age 5 1 1 child under age 5 2 2 3 3 4 4 5 5 Constructed Family Interrelationship Variables -- PERSON Family unit membership Puerto Rico 1970: All persons This variable identifies the person’s family unit membership. 1 1st family in household or group quarters 2 2nd family in household or group quarters 3 3rd 4 4th 5 5th Constructed Family Interrelationship Variables -- PERSON Age of youngest own child in household Puerto Rico 1970: All persons This variable identifies the age of youngest person’s own child in the household. 00 Less than 1 year old 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 72 72 73 73 76 76 80 80 88 88 89 89 99 NIU (not in universe) Constructed Family Interrelationship Variables -- PERSON Number of own siblings in household Puerto Rico 1970: All persons This variable identifies the number of person’s own siblings in the household. 0 0 siblings 1 1 sibling 2 2 siblings 3 3 siblings 4 4 siblings 5 5 siblings 6 6 siblings 7 7 siblings 8 8 siblings 9 9 or more siblings Constructed Family Interrelationship Variables -- PERSON Relationship to household head <svar v="PR70A417" a="all"><span class="em">2. How is each person related to the head of this household? </span><br /><div class="i1">Fill one circle.<br /> If "Other relative of head", also give exact relationship, for example, mother-in-law, brother, niece, grandson, etc.<br /> If "Other not related to head," also give exact relationship, for example, partner, roomer's wife, maid, boarder's daughter, etc.</div><br /><div class="i2">[] Head of household<br />[] Wife of head<br />[] Son or daughter of head<br />[] Other relative of head - Print exact relationship</div><br /><div class="i3">_____</div><br /><div class="i2">[] Roomer, boarder, lodger<br />[] Patient or inmate<br />[] Other not related to head - Print exact relationship</div><br /><div class="i3">_____</div><br /></svar> Puerto Rico 1970: All persons This variable identifies the relationship of the person to the household head. 0101 Head/householder 0201 Spouse 0301 Child 0401 Child-in-law 0501 Parent 0601 Parent-in-law 0701 Sibling 0801 Sibling-in-Law 0901 Grandchild 1061 Other relatives, n.e.c. 1110 Partner/friend 1240 Roomer/boarders/lodgers and foster children 1250 Employees 1284 Other non-inmate (includes boarders, students, military) 1293 Residents of rooming houses 1301 Institutional inmates Demographic Variables -- PERSON Age <svar v="PR70A418" a="all"><span class="em">4. Month and year of birth and age last birthday</span><br /><div class="i1">Print</div><br /><div class="i2">Month</div><br /><div class="i3">_____</div><br /><div class="i2">Year</div><br /><div class="i3">_____</div><br /><div class="i2">Age</div><br /><div class="i3">_____</div><br /></svar></p> <p><svar v="PR70A418 PR70A461" a="PR70A461"><span class="em">5. Month of birth<br /></span><div class="i1">Fill one circle</div><br /><div class="i2">[] January - March<br />[] April - June<br />[] July - September<br />[] October - December</div><br /></svar></p> <p><svar v="PR70A418"><span class="em">6. Year of birth</span><br /><div class="i1">Fill one circle for first three numbers</div><br /><div class="i2">[] 186_<br />[] 187_<br />[] 188_<br />[] 189_<br />[] 190_<br />[] 191_<br />[] 192_<br />[] 193_<br />[] 194_<br />[] 195_<br />[] 196_<br />[] 197_</div><br /><div class="i1">Fill one circle for last number</div><br /><div class="i2">[] 0<br />[] 1<br />[] 2<br />[] 3<br />[] 4<br />[] 5<br />[] 6<br />[] 7<br />[] 8<br />[] 9</div><br /></svar> Puerto Rico 1970: All persons This variable identifies the age of the person. 000 Less than 1 year old 001 1 002 2 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100 Demographic Variables -- PERSON Sex <svar v="PR70A419" a="PR70A419"><span class="em">3. Sex </span><br /><div class="i1">Fill one circle</div><br /><div class="i2">[] Male<br />[] Female</div><br /></svar> Puerto Rico 1970: All persons This variable identifies the sex of the person. 1 Male 2 Female Demographic Variables -- PERSON Marital status <svar v="PR70A420 PR70A516" a="all"><span class="em">7. Marital status<br /></span> <div class="i1">Is this person now:</div><br /><div class="i2">[] Married<br />[] Consensually married<br />[] Widowed<br />[] Divorced<br />[] Separated<br />[] Never married</div><br /></svar> Puerto Rico 1970: All persons This variable identifies the marital status of the person. 1 Married, spouse present 2 Married, spouse absent 3 Separated 4 Divorced 5 Widowed 6 Never married/single Demographic Variables -- PERSON Children ever born <svar v="PR70A421">[If this is a girl or a woman]<br /></svar></p> <p><svar v="PR70A421" a="all"><span class="em">23. How many babies has she ever had, not counting stillbirths, stepchildren, or adopted children?</span><br /><div class="i1">[] 1<br />[] 2<br />[] 3<br />[] 4<br />[] 5<br />[] 6<br />[] 7<br />[] 8<br />[] 9<br />[] 10<br />[] 11<br />[] 12 or more<br />[] None</div><br /></svar> Puerto Rico 1970: Females age 14+ [discrepancies: none] This variable identifies the children ever born to the person. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 or more 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON State or country of birth <svar v="PR70A422" a="all"><span class="em">12. Where was this person born?</span><br /><div class="i1">If born in hospital, residence of the mother, not location of hospital.<br />If born in Puerto Rico, mark the circle, or write the name of the municipality. If born outside of Puerto Rico, give State or territory of the United States or foreign country.</div><br /><div class="i2">[] This municipality<br />or<br />Other (municipality, state, territory, or foreign country)_____</div><br /></svar> Puerto Rico 1970: All persons This variable identifies the birthplace of the person. 00100 Alabama 00200 Alaska 00400 Arizona 00500 Arkansas 00600 California 00800 Colorado 00900 Connecticut 01100 District of Columbia 01200 Florida 01300 Georgia 01500 Hawaii 01700 Illinois 01800 Indiana 01900 Iowa 02000 Kansas 02100 Kentucky 02200 Louisiana 02300 Maine 02400 Maryland 02500 Massachusetts 02600 Michigan 02700 Minnesota 02800 Mississippi 02900 Missouri 03000 Montana 03100 Nebraska 03200 Nevada 03300 New Hampshire 03400 New Jersey 03500 New Mexico 03600 New York 03700 North Carolina 03800 North Dakota 03900 Ohio 04000 Oklahoma 04100 Oregon 04200 Pennsylvania 04400 Rhode Island 04500 South Carolina 04600 South Dakota 04700 Tennessee 04800 Texas 05000 Vermont 05100 Virginia 05300 Washington 05400 West Virginia 05500 Wisconsin 05600 Wyoming 09900 United States, n.s. 10000 American Samoa 10500 Guam 11000 Puerto Rico 11500 U.S. Virgin Islands 12091 US possessions, n.s. 15000 Canada 20000 Mexico 21030 El Salvador 21050 Honduras 21060 Nicaragua 21070 Panama 25000 Cuba 26010 Dominican Republic 26020 Haiti 26030 Jamaica 26040 British West Indies 26060 Trinidad and Tobago 26092 Latin America, n.s. 30005 Argentina 30020 Chile 30025 Colombia 30030 Ecuador 30050 Peru 30065 Venezuela 40400 Norway 41000 England 41400 Ireland 42000 Belgium 42100 France 42500 Netherlands 43800 Spain 45300 Germany 45700 Yugoslavia 46200 Lithuania 50000 China 51500 Philippines 53440 Israel 53500 Jordan 54200 Turkey 54800 Southwest Asia, n.e.c./n.s. 60010 Northern Africa 60099 Africa, n.s./n.e.c. 70010 Australia 90010 Abroad, n.s. Nativity and Birthplace Variables -- PERSON Mother's birthplace <svar v="PR70A423 PR70A517 PR70A518" a="PR70A423"><span class="em">14. Where was his mother born? </span><br /><div class="i1">[] Puerto Rico<br />[] Other (State, foreign country, etc.) ____</div><br /></svar> Puerto Rico 1970: All persons This variable identifies the person’s mother birthplace. 09900 United States, n.s. 11000 Puerto Rico 12091 US Possessions, n.s. 15000 Canada 20000 Mexico 21020 Costa Rica 21050 Honduras 21060 Nicaragua 21070 Panama 25000 Cuba 26010 Dominican Republic 26020 Haiti 26030 Jamaica 30005 Argentina 30025 Colombia 30030 Ecuador 30050 Peru 30065 Venezuela 41000 England 41100 Scotland 42100 France 42500 Netherlands 43300 Greece 43800 Spain 45300 Germany 50100 Japan 54100 Syria 60099 Africa, n.s./n.e.c. 90010 Abroad, n.s. Nativity and Birthplace Variables -- PERSON Father's birthplace <svar v="PR70A424 PR70A517 PR70A518" a="all"><span class="em">13. Where was his father born? </span><br /><div class="i1">[] Puerto Rico<br />[] Other (State, foreign country, etc.) ____</div><br /></svar> Puerto Rico 1970: All persons This variable identifies the person’s father birthplace. 09900 United States, n.s. 10500 Guam 11000 Puerto Rico 11500 U.S. Virgin Islands 12091 US possessions, n.s. 15000 Canada 16000 Atlantic Islands 20000 Mexico 21030 El Salvador 21040 Guatemala 21050 Honduras 21060 Nicaragua 21070 Panama 25000 Cuba 26010 Dominican Republic 26020 Haiti 26030 Jamaica 26040 British West Indies 26060 Trinidad and Tobago 26070 Other West Indies 30005 Argentina 30020 Chile 30025 Colombia 30030 Ecuador 30050 Peru 30065 Venezuela 30090 South America, n.s. 40000 Denmark 40400 Norway 41000 England 41100 Scotland 41400 Ireland 42000 Belgium 42100 France 42500 Netherlands 43400 Italy 43800 Spain 45000 Austria 45300 Germany 45500 Poland 45700 Yugoslavia 46200 Lithuania 46500 Other USSR/"Russia" 49900 Europe, n.e.c./n.s. 50000 China 51500 Philippines 52100 India 53400 Israel/Palestine 53500 Jordan 54100 Syria 54200 Turkey 54800 Southwest Asia, n.e.c./n.s. 60010 Northern Africa 60099 Africa, n.s./n.e.c. 90010 Abroad, n.s. Nativity and Birthplace Variables -- PERSON Speaks English <svar v="PR70A425" a="all"><span class="em">16. Can this person speak English? </span><br /><div class="i1">[] Yes<br />[] No</div><br /></svar> Puerto Rico 1970: Persons age 10+ [discrepancies: none] This variable identifies whether the person speaks English. 1 Does not speak English 2 Yes, speaks English 9 NIU (not in universe) Ethnicity and Language Variables -- PERSON Highest grade of schooling <svar v="PR70A426 PR70A427" a="all"><span class="em">20. What is the highest grade (or year) of regular school he has ever attended?<br /></span><br /><div class="i1">If now attending, mark grade he is in.</div><br /><div class="i2">[] Never attended school - Skip to 22<br />[] Nursery school<br />[] Kindergarten</div><br /><div class="i1">Elementary through high school</div><br /><div class="i2">[] 1<br />[] 2<br />[] 3<br />[] 4<br />[] 5<br />[] 6<br />[] 7<br />[] 8<br />[] 9<br />[] 10<br />[] 11<br />[] 12</div><br /><div class="i1">College (academic year)</div><br /><div class="i2">[] 1<br />[] 2<br />[] 3<br />[] 4<br />[] 5<br />[] 6 or more</div><br /></svar></p> <p><svar v="PR70A426 PR70A427"><span class="em">21. Did he finish the highest grade (or year) he attended?</span><br /><div class="i1">[] Now attending this grade (or year)<br />[] Finished this grade (or year)<br />[] Did not finish this grade (or year)</div><br /></svar> Puerto Rico 1970: Persons age 3+ [discrepancies: none] This variable identifies the highest grade of schooling of the person. 010 None (no levels of school completed) 011 Didn't finish nursery school 012 Attending nursery school 020 Nursery school 021 Didn't finish kindergarten 022 Attending kindergarten 030 Kindergarten 031 Didn't finish 1st grade 032 Attending 1st grade 040 1st grade 041 Didn't finish 2nd grade 042 Attending 2nd grade 050 2nd grade 051 Didn't finish 3rd grade 052 Attending 3rd grade 060 3rd grade 061 Didn't finish 4th grade 062 Attending 4th grade 070 4th grade 071 Didn't finish 5th grade 072 Attending 5th grade 080 5th grade 081 Didn't finish 6th grade 082 Attending 6th grade 090 6th grade 091 Didn't finish 7th grade 092 Attending 7th grade 100 7th grade 101 Didn't finish 8th grade 102 Attending 8th grade 110 8th grade 111 Didn't finish 9th grade 112 Attending 9th grade 120 9th grade 121 Didn't finish 10th grade 122 Attending 10th grade 130 10th grade 131 Didn't finish 11th grade 132 Attending 11th grade 140 11th grade 141 Didn't finish 12th grade 142 Attending 12th grade 150 12th grade 151 Didn't finish 1st year college 152 Attending 1st year college 160 1st year 161 Didn't finish 2nd year 162 Attending 2nd year 170 2nd year 171 Didn't finish 3rd year 172 Attending 3rd year 180 3rd year 181 Didn't finish 4th year 182 Attending 4th year 190 4th year 191 Didn't finish 5th year 192 Attending 5th year 200 5th year 201 Didn't finish 6th year 202 Attending 6th year 210 6th year or more 999 NIU (not in universe) Education Variables -- PERSON Educational attainment recode <svar v="PR70A426 PR70A427" a="all"><span class="em">20. What is the highest grade (or year) of regular school he has ever attended?<br /></span><br /><div class="i1">If now attending, mark grade he is in.</div><br /><div class="i2">[] Never attended school - Skip to 22<br />[] Nursery school<br />[] Kindergarten</div><br /><div class="i1">Elementary through high school</div><br /><div class="i2">[] 1<br />[] 2<br />[] 3<br />[] 4<br />[] 5<br />[] 6<br />[] 7<br />[] 8<br />[] 9<br />[] 10<br />[] 11<br />[] 12</div><br /><div class="i1">College (academic year)</div><br /><div class="i2">[] 1<br />[] 2<br />[] 3<br />[] 4<br />[] 5<br />[] 6 or more</div><br /></svar></p> <p><svar v="PR70A426 PR70A427"><span class="em">21. Did he finish the highest grade (or year) he attended?</span><br /><div class="i1">[] Now attending this grade (or year)<br />[] Finished this grade (or year)<br />[] Did not finish this grade (or year)</div><br /></svar> Puerto Rico 1970: Persons age 3+ [discrepancies: none] This variable identifies the educational attainment recode of the person. 01 None or preschool 02 Grade 1, 2, 3, or 4 03 Grade 5, 6, 7, or 8 04 Grade 9 05 Grade 10 06 Grade 11 07 Grade 12 08 1 to 3 years of college 09 4+ years of college 99 NIU (not in universe) Education Variables -- PERSON Public or private school <svar v="PR70A428" a="all"><span class="em">19. Since February 1, 1970, has this person attended regular school or college at any time? </span><br /><div class="i1">[] No<br />[] Yes, public school or college<br />[] Yes, parochial or college<br />[] Yes, other private school</div><br /></svar> Puerto Rico 1970: Persons age 3+ [discrepancies: none] This variable identifies if the person attended public or private school. 1 Not enrolled 2 Public school 5 Parochial 7 Other private 9 NIU (not in universe) Education Variables -- PERSON Occupation, 1950 basis <svar v="PR70A429 PR70A430 PR70A433 PR70A434 PR70A435 PR70A495 PR70A496 PR70A499 PR70A500 PR70A501"><span class="em">30-32. Show in questions 30-32 this person's job or business during the last week. If he had no job or business last week, give information for most recent job or business since 1960.</span><br /></svar></p> <p><svar v="PR70A495 PR70A429 PR70A430 PR70A499 PR70A501" a="all"><span class="em">31a. What kind of work was he doing? </span><br /><div class="i1">_____</div><br />(For example: TV repairman, seamstress, civil engineer, farm operator, junior high school English teacher, etc.)<br /></svar></p> <p><svar v="PR70A495 PR70A429 PR70A430 PR70A499 PR70A501"><span class="em">b. What were his most important activities or duties? </span><br /><div class="i1">_____<br />(For example: Types, keeps account books, filing, sells cars, janitor, bricklayer, etc.)</div><br /></svar> Puerto Rico 1970: Persons age 14+ who had worked within the previous ten years, not new workers [discrepancies: not verifiable] This variable identifies the occupation of the person. 000 Accountants and auditors 001 Actors and actresses 002 Airplane pilots and navigators 003 Architects 004 Artists and art teachers 005 Athletes 006 Authors 007 Chemists 008 Chiropractors 009 Clergymen 010 College presidents and deans 013 Biological sciences 016 Engineering 018 Mathematics 024 Psychology 027 Social sciences (n.e.c.) 028 Nonscientific subjects 029 Subject not specified 032 Dentists 034 Dieticians and nutritionists 035 Draftsmen 036 Editors and reporters 042 Engineers, chemical 043 Engineers, civil 044 Engineers, electrical 045 Engineers, industrial 046 Engineers, mechanical 048 Engineers, mining 049 Engineers (n.e.c.) 051 Entertainers (n.e.c.) 052 Farm and home management advisors 054 Funeral directors and embalmers 055 Lawyers and judges 056 Librarians 057 Musicians and music teachers 058 Nurses, professional 059 Nurses, student professional 061 Agricultural scientists 062 Biological scientists 068 Physicists 070 Optometrists 072 Personnel and labor relations workers 073 Pharmacists 074 Photographers 075 Physicians and surgeons 076 Radio operators 077 Recreation and group workers 078 Religious workers 079 Social and welfare workers, except group 081 Economists 082 Psychologists 083 Statisticians and actuaries 084 Miscellaneous social scientists 091 Sports instructors and officials 092 Surveyors 093 Teachers (n.e.c.) 094 Technicians, medical and dental 095 Technicians, testing 096 Technicians (n.e.c.) 097 Therapists and healers (n.e.c.) 098 Veterinarians 099 Professional, technical and kindred workers (n.e.c.) 100 Farmers (owners and tenants) 123 Farm managers 200 Buyers and department heads, store 201 Buyers and shippers, farm products 204 Credit men 210 Inspectors, public administration 230 Managers and superintendents, building 240 Officers, pilots, pursers and engineers, ship 250 Officials and administrators (n.e.c.), public administration 260 Officials, lodge, society, union, etc. 270 Postmasters 280 Purchasing agents and buyers (n.e.c.) 290 Managers, officials, and proprietors (n.e.c.) 300 Agents (n.e.c.) 301 Attendants and assistants, library 302 Attendants, physician's and dentist's office 305 Bank tellers 310 Bookkeepers 320 Cashiers 321 Collectors, bill and account 322 Dispatchers and starters, vehicle 335 Mail carriers 340 Messengers and office boys 341 Office machine operators 342 Shipping and receiving clerks 350 Stenographers, typists, and secretaries 360 Telegraph messengers 365 Telegraph operators 370 Telephone operators 380 Ticket, station, and express agents 390 Clerical and kindred workers (n.e.c.) 400 Advertising agents and salesmen 420 Demonstrators 430 Hucksters and peddlers 450 Insurance agents and brokers 470 Real estate agents and brokers 480 Stock and bond salesmen 490 Salesmen and sales clerks (n.e.c.) 500 Bakers 502 Bookbinders 503 Boilermakers 504 Brickmasons, stonemasons, and tile setters 505 Cabinetmakers 510 Carpenters 511 Cement and concrete finishers 512 Compositors and typesetters 513 Cranemen, derrickmen, and hoistmen 514 Decorators and window dressers 515 Electricians 520 Electrotypers and stereotypers 521 Engravers, except photoengravers 522 Excavating, grading, and road machinery operators 523 Foremen (n.e.c.) 531 Heat treaters, annealers, temperers 532 Inspectors, scalers, and graders, log and lumber 533 Inspectors (n.e.c.) 534 Jewelers, watchmakers, goldsmiths, and silversmiths 540 Linemen and servicemen, telegraph, telephone, and power 542 Locomotive firemen 544 Machinists 545 Mechanics and repairmen, airplane 550 Mechanics and repairmen, automobile 552 Mechanics and repairmen, radio and television 553 Mechanics and repairmen, railroad and car shop 554 Mechanics and repairmen (n.e.c.) 562 Motion picture projectionists 563 Opticians and lens grinders and polishers 564 Painters, construction and maintenance 573 Plasterers 574 Plumbers and pipe fitters 575 Pressmen and plate printers, printing 581 Roofers and slaters 582 Shoemakers and repairers, except factory 583 Stationary engineers 585 Structural metal workers 590 Tailors and tailoresses 591 Tinsmiths, coppersmiths, and sheet metal workers 592 Tool makers, and die makers and setters 593 Upholsterers 594 Craftsmen and kindred workers (n.e.c.) 595 Members of the armed services 605 Apprentice mechanics, except auto 615 Apprentices, trade not specified 621 Attendants, auto service and parking 622 Blasters and powder men 624 Brakemen, railroad 625 Bus drivers 630 Chainmen, rodmen, and axmen, surveying 632 Deliverymen and route men 633 Dressmakers and seamstresses, except factory 634 Dyers 635 Filers, grinders, and polishers, metal 640 Fruit, nut, and vegetable graders, and packers, except factory 641 Furnace men, smelter men and pourers 643 Laundry and dry cleaning operatives 644 Meat cutters, except slaughter and packing house 645 Milliners 650 Mine operatives and laborers 662 Oilers and greaser, except auto 670 Painters, except construction or maintenance 671 Photographic process workers 672 Power station operators 673 Sailors and deck hands 674 Sawyers 680 Stationary firemen 681 Switchmen, railroad 682 Taxicab drivers and chauffeurs 683 Truck and tractor drivers 685 Welders and flame cutters 690 Operative and kindred workers (n.e.c.) 700 Housekeepers, private household 710 Laundresses, private household 720 Private household workers (n.e.c.) 730 Attendants, hospital and other institution 731 Attendants, professional and personal service (n.e.c.) 732 Attendants, recreation and amusement 740 Barbers, beauticians, and manicurists 750 Bartenders 751 Bootblacks 753 Charwomen and cleaners 754 Cooks, except private household 760 Counter and fountain workers 761 Elevator operators 762 Firemen, fire protection 763 Guards, watchmen, and doorkeepers 764 Housekeepers and stewards, except private household 770 Janitors and sextons 771 Marshals and constables 773 Policemen and detectives 780 Porters 781 Practical nurses 782 Sheriffs and bailiffs 784 Waiters and waitresses 790 Service workers, except private household (n.e.c.) 810 Farm foremen 820 Farm laborers, wage workers 830 Farm laborers, unpaid family workers 840 Farm service laborers, self-employed 910 Fishermen and oystermen 930 Gardeners, except farm, and groundskeepers 940 Longshoremen and stevedores 960 Teamsters 970 Laborers (n.e.c.) 999 NIU (not in universe) Work: Occupation Variables -- PERSON Occupation <svar v="PR70A429 PR70A430 PR70A433 PR70A434 PR70A435 PR70A495 PR70A496 PR70A499 PR70A500 PR70A501"><span class="em">30-32. Show in questions 30-32 this person's job or business during the last week. If he had no job or business last week, give information for most recent job or business since 1960.</span><br /></svar></p> <p><svar v="PR70A495 PR70A429 PR70A430 PR70A499 PR70A501" a="all"><span class="em">31a. What kind of work was he doing? </span><br /><div class="i1">_____</div><br />(For example: TV repairman, seamstress, civil engineer, farm operator, junior high school English teacher, etc.)<br /></svar></p> <p><svar v="PR70A495 PR70A429 PR70A430 PR70A499 PR70A501"><span class="em">b. What were his most important activities or duties? </span><br /><div class="i1">_____<br />(For example: Types, keeps account books, filing, sells cars, janitor, bricklayer, etc.)</div><br /></svar> Puerto Rico 1970: Persons age 14+ who had worked within the previous ten years and persons seeking work who last worked more than ten years ago [discrepancies: not verifiable] This variable identifies the occupation of the person. 001 Accountants 002 Architects 003 Computer programmers 004 Computer systems analysts 010 Chemical engineers 011 Civil engineers 012 Electrical end electronic engineers 013 Industrial engineers 014 Mechanical engineers 020 Mining engineers 021 Petroleum engineers 023 Engineers, n.e.c. 024 Farm management advisors 026 Home management advisors 030 Judges 031 Lawyers 032 Librarians 033 Archivists and curators 036 Statisticians 042 Agricultural scientists 044 Biological scientists 045 Chemists 053 Physicists and astronomers 056 Personnel and labor relations workers 062 Dentists 063 Optometrists 064 Pharmacists 065 Physicians, medical and osteopathic 072 Veterinarians 074 Dietitians 075 Registered nurses 076 Therapists 080 Clinical laboratory technologists and technicians 083 Radiologic technologists and technicians 084 Therapy assistants 085 Health technologists and technicians, n.e.c. 086 Clergymen 090 Religious workers, n.e.c. 091 Economists 093 Psychologists 100 Social workers 101 Recreation workers 104 Biology teachers 111 Engineering teachers 112 Mathematics teachers 114 Psychology teachers 122 Social science teachers, n.e.c. 123 Art, drama, and music teachers 131 Home economics teachers 135 Miscellaneous teachers, college and university 140 Teachers, college and university, subject not specified 141 Adult education teachers 142 Elementary school teachers 143 Prekindergarten and kindergarten teachers 144 Secondary school teachers 145 Teachers, except college and university, n.e.c. 150 Agriculture and biological technicians, except health 151 Chemical technicians 152 Draftsmen 153 Electrical and electronic engineering technicians 161 Surveyors 162 Engineering and science technicians, n.e.c. 163 Airplane pilots 164 Air traffic controllers 165 Embalmers 171 Radio operators 173 Technicians, n.e.c. 174 Vocational and educational counselors 175 Actors 180 Athletes and kindred workers 184 Editors and reporters 185 Musicians and composers 190 Painters and sculptors 191 Photographers 192 Public relations men and publicity writers 193 Radio and television announcers 194 Writers, artists, and entertainers, n.e.c. 195 Research workers, n.s. 196 Professional, technical, and kindred workers -- allocated 201 Assessors, controllers, and treasurers, local public administration 202 Bank officers and financial managers 203 Buyers and shippers, farm products 205 Buyers, wholesale and retail trade 210 Credit men 211 Funeral directors 212 Health administrators 215 Inspectors, except construction, public administration 216 Managers and superintendents, building 220 Office managers, n.e.c. 221 Officers, pilots, and pursers, ship 222 Officials and administrators, public administration, n.e.c. 223 Officials of lodges, societies, and unions 224 Postmasters and mail superintendents 225 Purchasing agents and buyers, n.e.c. 230 Restaurant, cafeteria, and bar managers 231 Sales managers and department heads, retail trade 233 Sales managers, except retail trade 235 School administrators, college 240 School administrators, elementary and secondary 245 Managers and administrators, n.e.c. 246 Managers and administrators, except farm--allocated 260 Advertising agents and salesmen 262 Demonstrators 264 Hucksters and peddlers 265 Insurance agents, brokers, and underwriters 270 Real estate agents and brokers 271 Stock and bond salesmen 281 Sales representatives, manufacturing industries 282 Sales representatives, wholesale trade 283 Sales clerks, retail trade 284 Salesmen, retail trade 285 Salesmen of services and construction 296 Sales workers--allocated 301 Bank tellers 303 Billing clerks 305 Bookkeepers 310 Cashiers 312 Clerical supervisors, n.e.c. 313 Collectors, bill and account 314 Counter clerks, except food 315 Dispatchers and starters, vehicle 320 Enumerators and interviewers 321 Estimators and investigators, n.e.c. 323 Expediters and production controllers 325 File clerks 326 Insurance adjusters, examiners, and investigators 330 Library attendants and assistants 331 Mail carriers, post office 332 Mail handlers, except post office 333 Messengers and office boys 334 Meter readers, utilities 343 Computer and peripheral equipment operators 345 Key punch operators 350 Tabulating machine operators 360 Payroll and timekeeping clerks 361 Postal clerks 363 Real estate appraisers 364 Receptionists 370 Secretaries, legal 371 Secretaries, medical 372 Secretaries, n.e.c. 374 Shipping and receiving clerks 375 Statistical clerks 376 Stenographers 381 Stock clerks and storekeepers 382 Teacher aides, except school monitors 383 Telegraph messengers 384 Telegraph operators 385 Telephone operators 390 Ticket, station, and express agents 391 Typists 392 Weighers 394 Miscellaneous clerical workers 395 Clerical workers, n.s. 396 Clerical and kindred workers -- allocated 402 Bakers 404 Boilermakers 405 Bookbinders 410 Brick masons and stonemasons 412 Bulldozer operators 413 Cabinetmakers 415 Carpenters 420 Carpet installers 421 Cement and concrete finishers 422 Compositors and typesetters 424 Crane men, derrick men, and hoist men 425 Decorators and window dressers 426 Dental laboratory technicians 430 Electricians 433 Electric power linemen and cable men 434 Electrotypers and stereotypers 435 Engravers, except photoengravers 436 Excavating, grading, and road machine operators, except bulldozer 441 Foremen, n.e.c. 443 Furniture and wood finishers 446 Heat treaters, annealers, and temperers 452 Inspectors, n.e.c. 453 Jewelers and watchmakers 456 Locomotive firemen 461 Machinists 470 Air conditioning, heating, and refrigeration 471 Aircraft 472 Automobile body repairmen 473 Automobile mechanics 480 Farm implement 481 Heavy equipment and diesel mechanics 482 Household appliance and accessory installers and mechanics 485 Radio and television 486 Railroad and car shop 491 Mechanic apprentices, except automobile 492 Miscellaneous mechanics and repairmen 495 Mechanics and repairmen, n.s. 505 Motion picture projectionists 506 Opticians, and lens grinders and polishers 510 Painters, construction and maintenance 520 Plasterers 522 Plumbers and pipe fitters 525 Power station operators 530 Pressmen and plate printers, printing 534 Roofers and slaters 535 Sheet metal workers and tinsmiths 542 Shoe repairmen 543 Sign painters and letterers 545 Stationary engineers 550 Structural metal craftsmen 551 Tailors 552 Telephone installers and repairmen 554 Telephone linemen and splicers 560 Tile setters 561 Tool and die makers 563 Upholsterers 572 Apprentices, craft not specified 575 Craftsmen and kindred workers, n.e.c. 580 Former members of the Armed Forces 586 Craftsmen and kindred workers-- allocated 602 Assemblers 603 Blasters and powder men 604 Bottling and canning operatives 605 Chainmen, rodmen, and axmen, surveying 610 Checkers, examiners, and inspectors, manufacturing 611 Clothing ironers and pressers 612 Cutting operatives, n.e.c. 613 Dressmakers and seamstresses, except factory 614 Drillers, earth 615 Dry wall installers and lathers 620 Dyers 621 Filers, polishers, sanders, and buffers 622 Furnace men, smelter men, and pourers 623 Garage workers and gas station attendants 624 Graders and sorters, manufacturing 625 Produce graders and packers, except factory and farm 630 Laundry and dry cleaning operatives, n.e.c. 631 Meat cutters and butchers, except manufacturing 633 Meat cutters and butchers, manufacturing 636 Milliners 640 Mine operatives, n.e.c. 641 Mixing operatives 642 Oilers and greasers, except auto 643 Packers and wrappers, except meat and produce 644 Painters, manufactured articles 645 Photographic process workers 650 Drill press operatives 652 Lathe and milling machine operatives 656 Punch and stamping press operatives 660 Riveters and fasteners 661 Sailors and deckhands 662 Sawyers 663 Sewers and stitchers 664 Shoemaking machine operatives 665 Solderers 666 Stationary firemen 671 Knitters, loopers, and toppers 672 Spinners, twisters, and winders 674 Textile operatives, n.e.c. 680 Welders and flame-cutters 681 Winding operatives, n.e.c. 690 Miscellaneous machine operatives 692 Machine operatives, n.s. 694 Miscellaneous operatives 695 Operatives, n.s. 696 Operatives, except transport--allocated 703 Bus drivers 705 Deliverymen and route men 706 Fork lift and tow motor operatives 711 Parking attendants 712 Railroad brakemen 713 Railroad switchmen 714 Taxicab drivers and chauffeurs 715 Truck drivers 726 Transport equipment operatives --allocated 740 Animal caretakers, except farm 750 Carpenters' helpers 751 Construction laborers, except carpenters' helpers 752 Fishermen and oystermen 753 Freight and material handlers 754 Garbage collectors 755 Gardeners and groundskeepers, except farm 760 Longshoremen and stevedores 762 Stock handlers 763 Teamsters 764 Vehicle washers and equipment cleaners 770 Warehousemen, n.e.c. 780 Miscellaneous laborers 785 Laborers, n.s. 796 Laborers, except farm--allocated 801 Farmers (owners and tenants) 802 Farm managers 806 Farmers and farm managers--allocated 821 Farm foremen 822 Farm laborers, wage workers 823 Farm laborers, unpaid family workers 824 Farm service laborers, self-employed 846 Farm laborers and farm foremen --allocated 901 Chambermaids and maids, except private household 902 Cleaners and charwomen 903 Janitors and sextons 910 Bartenders 911 Busboys 912 Cooks, except private household 913 Dishwashers 914 Food counter and fountain workers 915 Waiters 916 Food service workers, n.e.c., except private household 921 Dental assistants 922 Health aides, except nursing 923 Health trainees 925 Nursing aides, orderlies, and attendants 926 Practical nurses 932 Attendants, recreation and amusement 934 Baggage porters and bellhops 935 Barbers 941 Bootblacks 942 Child care workers, except private household 943 Elevator operators 944 Hairdressers and cosmetologists 950 Housekeepers, except private household 954 Welfare service aides 961 Firemen, fire protection 962 Guards and watchmen 963 Marshals and constables 964 Policemen and detectives 965 Sheriffs and bailiffs 976 Service workers, except private household--allocated 980 Child care workers, private household 981 Cooks, private household 982 Housekeepers, private household 983 Laundresses, private household 984 Maids and servants, private household 986 Private household workers--allocated 991 Unemployed persons, last worked 1959 or earlier 999 NIU (not in universe) Work: Occupation Variables -- PERSON Occupational income score Puerto Rico 1970: Persons with an occupation [discrepancies: none] This variable identifies the occupational income score of the person. 03 3 04 4 06 6 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 44 44 45 45 46 46 47 47 48 48 49 49 52 52 61 61 63 63 79 79 99 NIU (not in universe) Work Variables -- PERSON Duncan Socioeconomic Index Puerto Rico 1970: Persons with an occupation [discrepancies: none] This variable identifies the Duncan Socioeconomic Index of the person. 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 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 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 72 72 73 73 74 74 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 90 90 92 92 93 93 96 96 99 NIU (not in universe) Work Variables -- PERSON Industry, 1950 basis <svar v="PR70A429 PR70A430 PR70A433 PR70A434 PR70A435 PR70A495 PR70A496 PR70A499 PR70A500 PR70A501"><span class="em">30-32. Show in questions 30-32 this person's job or business during the last week. If he had no job or business last week, give information for most recent job or business since 1960.</span><br /></svar></p> <p><svar v="PR70A433 PR70A434 PR70A496 PR70A500" a="all"><span class="em">30a. For whom did he work?</span><br /><div class="i1">_____ (Name of company, business, organization, or other employer)<br />[] Now serving in the Armed Forces (Skip to 33)</div><br /><span class="em">b. What kind of business or industry was this?</span><br /><div class="i1">_____<br />(For example: Junior high school, retail supermarket, TV and radio service, dairy farm, sugar mill, etc.)</div><br /><span class="em">c. Is this business or industry mainly -</span><br /><div class="i1">[] Manufacturing<br />[] Wholesale trade<br />[] Retail trade<br />[] Other (agriculture, construction, service, government, etc.)</div><br /></svar> Puerto Rico 1970: Persons age 14+ who had worked within the previous ten years, not new workers [discrepancies: not verifiable] This variable identifies the industry of the person. 105 Agriculture 126 Fisheries 216 Coal mining 226 Crude petroleum and natural gas extraction 236 Nonmetallic mining and quarrying, except fuel 246 Construction 307 Sawmills, planing mills, and mill work 308 Miscellaneous wood products 309 Furniture and fixtures 316 Glass and glass products 317 Cement, concrete, gypsum and plaster products 319 Pottery and related products 326 Miscellaneous nonmetallic mineral and stone products 336 Blast furnaces, steel works, and rolling mills 337 Other primary iron and steel industries 338 Primary nonferrous industries 346 Fabricated steel products 348 Not specified metal industries 356 Agricultural machinery and tractors 357 Office and store machines and devices 358 Miscellaneous machinery 367 Electrical machinery, equipment, and supplies 376 Motor vehicles and motor vehicle equipment 377 Aircraft and parts 378 Ship and boat building and repairing 379 Railroad and miscellaneous transportation equipment 386 Professional equipment and supplies 387 Photographic equipment and supplies 388 Watches, clocks, and clockwork-operated devices 399 Miscellaneous manufacturing industries 406 Meat products 407 Dairy products 408 Canning and preserving fruits, vegetables, and sea foods 409 Grain-mill products 416 Bakery products 417 Confectionery and related products 418 Beverage industries 419 Miscellaneous food preparations and kindred products 426 Not specified food industries 429 Tobacco manufactures 436 Knitting mills 438 Carpets, rugs, and other floor coverings 439 Yarn, thread, and fabric mills 448 Apparel and accessories 449 Miscellaneous fabricated textile products 456 Pulp, paper, and paperboard mills 457 Paperboard containers and boxes 458 Miscellaneous paper and pulp products 459 Printing, publishing, and allied industries 466 Synthetic fibers 467 Drugs and medicines 468 Paints, varnishes, and related products 469 Miscellaneous chemicals and allied products 476 Petroleum refining 477 Miscellaneous petroleum and coal products 478 Rubber products 487 Leather: tanned, curried, and finished 488 Footwear, except rubber 489 Leather products, except footwear 499 Not specified manufacturing industries 516 Street railways and bus lines 526 Trucking service 527 Warehousing and storage 536 Taxicab service 546 Water transportation 556 Air transportation 568 Services incidental to transportation 578 Telephone 579 Telegraph 586 Electric light and power 596 Water supply 597 Sanitary services 598 Other and not specified utilities 606 Motor vehicles and equipment 607 Drugs, chemicals, and allied products 608 Dry goods apparel 609 Food and related products 616 Electrical goods, hardware, and plumbing equipment 617 Machinery, equipment, and supplies 618 Petroleum products 619 Farm products--raw materials 626 Miscellaneous wholesale trade 627 Not specified wholesale trade 636 Food stores, except dairy products 637 Dairy products stores and milk retailing 646 General merchandise stores 647 Five and ten cent stores 656 Apparel and accessories stores, except shoe 657 Shoe stores 658 Furniture and house furnishing stores 659 Household appliance and radio stores 667 Motor vehicles and accessories retailing 668 Gasoline service stations 669 Drug stores 679 Eating and drinking places 686 Hardware and farm implement stores 687 Lumber and building material retailing 688 Liquor stores 689 Retail florists 696 Jewelry stores 697 Fuel and ice retailing 698 Miscellaneous retail stores 699 Not specified retail trade 716 Banking and credit agencies 726 Security and commodity brokerage and investment companies 736 Insurance 746 Real estate 806 Advertising 807 Accounting, auditing, and bookkeeping services 808 Miscellaneous business services 816 Auto repair services and garages 817 Miscellaneous repair services 826 Private households 836 Hotels and lodging places 846 Laundering, cleaning, and dyeing services 847 Dressmaking shops 848 Shoe repair shops 849 Miscellaneous personal services 856 Radio broadcasting and television 857 Theaters and motion pictures 858 Bowling alleys, and billiard and pool parlors 859 Miscellaneous entertainment and recreation services 868 Medical and other health services, except hospitals 869 Hospitals 879 Legal services 888 Educational services 896 Welfare and religious services 897 Nonprofit membership organizations 898 Engineering and architectural services 899 Miscellaneous professional and related services 906 Postal service 916 Federal public administration 926 State public administration 936 Local public administration 998 Unknown 999 NIU (not in universe) Work: Industry Variables -- PERSON Industry <svar v="PR70A429 PR70A430 PR70A433 PR70A434 PR70A435 PR70A495 PR70A496 PR70A499 PR70A500 PR70A501"><span class="em">30-32. Show in questions 30-32 this person's job or business during the last week. If he had no job or business last week, give information for most recent job or business since 1960.</span><br /></svar></p> <p><svar v="PR70A433 PR70A434 PR70A496 PR70A500" a="all"><span class="em">30a. For whom did he work?</span><br /><div class="i1">_____ (Name of company, business, organization, or other employer)<br />[] Now serving in the Armed Forces (Skip to 33)</div><br /><span class="em">b. What kind of business or industry was this?</span><br /><div class="i1">_____<br />(For example: Junior high school, retail supermarket, TV and radio service, dairy farm, sugar mill, etc.)</div><br /><span class="em">c. Is this business or industry mainly -</span><br /><div class="i1">[] Manufacturing<br />[] Wholesale trade<br />[] Retail trade<br />[] Other (agriculture, construction, service, government, etc.)</div><br /></svar> Puerto Rico 1970: Persons age 14+ who had worked within the previous ten years [discrepancies: not verifiable] This variable identifies the industry of the person. 000 NIU (not in universe) 017 Agricultural production 018 Agricultural services, except horticultural 019 Horticultural services 028 Fisheries 029 Agriculture, forestry, and fisheries--allocated 048 Coal mining 049 Crude petroleum and natural gas extractions 057 Nonmetallic mining and quarrying, except fuel 058 Mining--allocated 067 General building contractors 068 General contractors, except building 069 Special trade contractors 077 Construction, n.s. 078 Construction--allocated 108 Sawmills, planing mills, and mill work 109 Miscellaneous wood products 118 Furniture and fixtures 119 Glass and glass products 127 Cement, concrete, gypsum, and plaster products 137 Pottery and related products 138 Miscellaneous nonmetallic mineral and stone products 139 Blast furnaces, steel works, rolling and finishing mills 147 Other primary iron and steel industries 148 Primary aluminum industries 149 Other primary nonferrous industries 157 Cutlery, hand tools, and other hardware 158 Fabricated structural metal products. 167 Metal stamping 168 Miscellaneous fabricated metal products 169 Metal industries, n.s. 177 Engines and turbines 179 Construction and material handling machines 187 Metalworking machinery 188 Office and accounting machines 189 Electronic computing equipment 197 Machinery, except electrical, n.e.c. 199 Household appliances 207 Radio, TV, and communication equipment 208 Electrical machinery, equipment, and supplies, n.e.c. 209 Electrical machinery, equipment, and supplies, n.s. 219 Motor vehicles and motor vehicle equipment 227 Aircraft and parts 228 Ship and boat building and repairing 229 Railroad locomotives and equipment 239 Scientific and controlling instruments 247 Optical and health services supplies 248 Photographic equipment and supplies 249 Watches, clocks, and clockwork-operated devices 258 Ordinance 259 Miscellaneous manufacturing industries 267 Manufacturing, durable goods--allocated 268 Meat products 269 Dairy products 278 Canning and preserving fruits, vegetables, and sea foods 279 Grain-mill products 287 Bakery products 288 Confectionery and related products 289 Beverage industries 297 Miscellaneous food preparation and kindred products 298 Food industries, n.s. 299 Tobacco manufactures 307 Knitting mills 309 Floor coverings, except hard surface 317 Yarn, thread, and fabric mills 319 Apparel and accessories 327 Miscellaneous fabricated textile products 328 Pulp, paper, and paperboard mills 329 Miscellaneous paper and pulp products 337 Paperboard containers and boxes 338 Newspaper publishing and printing 339 Printing, publishing, and allied industries, except newspapers 347 Industrial chemicals 348 Plastics, synthetics and resins, except fibers 349 Synthetic fibers 357 Drugs and medicines 358 Soaps and cosmetics 359 Paints, varnishes, and related products 367 Agricultural chemicals 368 Miscellaneous chemicals 369 Chemicals and allied products, n.s. 377 Petroleum refining 378 Miscellaneous petroleum and coal products 379 Rubber products 387 Miscellaneous plastic products 388 Tanned, curried, and finished leather 389 Footwear, except rubber 397 Leather products, except footwear 398 Manufacturing industries, n.s. 399 Manufacturing, nondurable goods--allocated 408 Street railways and bus lines 409 Taxicab service 417 Trucking service 418 Warehousing and storage 419 Water transportation 427 Air transportation 429 Services incidental to transportation 447 Radio broadcasting and television 448 Telephone (wire and radio) 449 Telegraph and miscellaneous communication services 467 Electric light and power 477 Water supply 478 Sanitary services 479 Other and not specified utilities 499 Transportation, communications, and other public utilities--allocated 507 Motor vehicles and equipment 508 Drugs, chemicals, and allied products 509 Dry goods and apparel 527 Food and related products 528 Farm products--raw materials 529 Electrical goods 537 Hardware, plumbing, and heating supplies 539 Machinery equipment and supplies 558 Petroleum products 559 Scrap and waste materials 567 Alcoholic beverages 568 Paper and its products 569 Lumber and construction materials 587 Wholesalers, n.e.c. 588 Wholesale trade, n.s. 599 Wholesale trade--allocated 607 Lumber and building material retailing 608 Hardware and farm equipment stores 609 Department and mail order establishments 617 Limited price variety stores 619 Direct selling establishments 627 Miscellaneous general merchandise stores 628 Grocery stores 629 Dairy products stores 637 Retail bakeries 638 Food stores, n.e.c. 639 Motor vehicle dealers 647 Tire, battery, and accessory dealers 648 Gasoline service stations 649 Miscellaneous vehicle dealers 657 Apparel and accessories stores, except shoe stores 658 Shoe stores 667 Furniture and home furnishings stores 668 Household appliances, TV, and radio stores 669 Eating and drinking places 677 Drug stores 678 Liquor stores 679 Farm and garden supply stores 687 Jewelry stores 688 Fuel and ice dealers 689 Retail florists 697 Miscellaneous retail stores 698 Retail trade, n.s. 699 Retail trade--allocated 707 Banking 708 Credit agencies 709 Security, commodity brokerage, and investment companies 717 Insurance 718 Real estate, including real estate-insurance-law offices 719 Finance, insurance, and real estate--allocated 727 Advertising 728 Services to dwellings and other buildings 729 Commercial research, development, and testing labs 737 Employment and temporary help agencies 738 Business management and consulting services 739 Computer programming services 747 Detective and protective services 748 Business services, n.e.c. 749 Automobile services, except repair 757 Automobile repair and related services 758 Electrical repair shops 759 Miscellaneous repair services 767 Business and repair services--allocated 769 Private households 777 Hotels and motels 778 Lodging places, except hotels and motels 779 Laundering, cleaning, and other garment services 787 Beauty shops 788 Barber shops 789 Shoe repair shops 797 Dressmaking shops 798 Miscellaneous personal services 799 Personal services--allocated 807 Theaters and motion pictures 808 Bowling alleys, billiard and pool parlors 809 Miscellaneous entertainment and recreation services 817 Entertainment and recreation services--allocated 828 Offices of physicians 829 Offices of dentists 838 Hospitals 839 Convalescent institutions 847 Offices of health practitioners, n.e.c. 848 Health services, n.e.c. 849 Legal services 857 Elementary and secondary schools 858 Colleges and universities 859 Libraries 867 Educational services, n.e.c. 869 Museums, art galleries, and zoos 877 Religious organizations 878 Welfare services 879 Residential welfare facilities 887 Nonprofit membership organizations 888 Engineering and architectural services 889 Accounting, auditing, and bookkeeping services 897 Miscellaneous professional and related services 899 Professional and related services--allocated 907 Postal service 917 Federal public administration 927 State public administration 937 Local public administration 947 Public administration--allocated 997 Unemployed persons, last worked 1959 or earlier Work: Industry Variables -- PERSON Class of worker <svar v="PR70A429 PR70A430 PR70A433 PR70A434 PR70A435 PR70A495 PR70A496 PR70A499 PR70A500 PR70A501"><span class="em">30-32. Show in questions 30-32 this person's job or business during the last week. If he had no job or business last week, give information for most recent job or business since 1960.</span><br /></svar></p> <p><svar v="PR70A435" a="all"><span class="em">32. Class of worker: Mark from the information in 30-31 or ask if not clear. </span><br /><div class="i1">[] Employee of private company, business, or individual, for wages, salary, or commissions<br />[] Employee of Federal government<br />[] Employee of Commonwealth government<br />[] Employee of municipal government<br />Self-employed in own business, farm, etc.?<br />[] Own business not incorporated<br />[] Own business incorporated<br />[] Working without pay in family business or farm</div><br /></svar> Puerto Rico 1970: Persons age 14+ who had worked within the previous ten years [discrepancies: not verifiable] This variable identifies the class of worker of the person. 00 NIU (not in universe) 13 Self-employed, not incorporated 14 Self-employed, incorporated 22 Wage/salary, private 25 Federal government employee 27 State government employee 28 Local government employee 29 Unpaid family worker Work Variables -- PERSON Weeks worked last year, intervalled <svar v="PR70A436" a="all"><span class="em">b. How many weeks did he work in 1969, either full-time or part-time? </span><br />Count paid vacation, paid sick leave, and military service.<br /><div class="i1">[] 13 weeks or less<br />[] 14 to 26 weeks<br />[] 27 to 39 weeks<br />[] 40 to 47 weeks<br />[] 48 to 49 weeks<br />[] 50 to 52 weeks</div><br /></svar> Puerto Rico 1970: Persons age 14+ who worked last year [discrepacies: type I none; type II 0.1%] This variable identifies the number of weeks the person worked last year, intervalled. 1 1-13 weeks 2 14-26 weeks 3 27-39 weeks 4 40-47 weeks 5 48-49 weeks 6 50-52 weeks 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Hours worked last week, intervalled <svar v="PR70A437"><span class="em">26.a. Did this person work at any time last week? </span><br /><div class="i1">Include part-time work such as a Saturday job, home needlework, or helping without pay in a family business or farm; and active duty in the Armed Forces. Do not include own housework.<br />[] Yes (Continue with 26b)<br />[] No (Skip to 27)</div><br /></svar></p> <p><svar v="PR70A437" a="all"><span class="em">b. How many hours did he work last week (at all jobs)? </span><br /><div class="i1">[] 1 to 14 hours<br />[] 15 to 29 hours<br />[] 30 to 34 hours<br />[] 35 to 39 hours<br />[] 40 hours<br />[] 41 to 48 hours<br />[] 49 to 59 hours<br />[] 60 hours or more</div><br /></svar> Puerto Rico 1970: Persons age 14+ who were at work last week [discrepancies: not verifiable] This variable identifies the number of hours the person worked last week, intervalled. 01 1-14 hours 02 15-29 hours 03 30-34 hours 04 35-39 hours 05 40 hours 06 41-48 hours 07 49-59 hours 08 60+ hours 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Year last worked <svar v="PR70A438" a="all"><span class="em">29. When did he last work at all, even for a few days? </span><br /><div class="i1">[] In 1970<br />[] In 1969<br />[] In 1968<br />[] 1964 to 1967<br />[] 1960 to 1963<br />[] 1959 or earlier (Skip to 35)<br />[] Never worked (Skip to 35)</div><br /></svar> Puerto Rico 1970: Persons age 14+ who did not work last week and reported; not in armed forces [discrepancies: not verifiable] This variable identifies the year the person last worked. 10 Worked current year 20 Worked previous year 31 Worked 2 years prior 34 Worked 3-6 years ago 36 Worked 7-10 years ago 40 Worked more than 10 years ago 50 Never worked 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Worked last year <svar v="PR70A439" a="all"><span class="em">33 a. During last year (1969), did this person work at all, even for a few days? </span><br /><div class="i1">[] Yes<br />[] No - Skip to 35</div><br /></svar> Puerto Rico 1970: Persons age 14+ [discrepancies: none] This variable identifies if the person worked last year. 1 No 2 Yes 9 NIU (not in universe) Work Variables -- PERSON Total personal income <svar v="PR70A441 PR70A440 PR70A442" a="all"><span class="em">34a. How much did this person earn during 1969 in wages, salary, commissions, bonuses, or tips from all jobs?</span> (Before deductions for taxes, etc.)<br /><div class="i1">$ (Nearest dollars) _____.00<br />[] None</div><br /></svar></p> <p><svar v="PR70A443 PR70A440 PR70A442" a="PR70A443"><span class="em">b. How much did he earn in 1969 from his own nonfarm business, professional practice, or partnership? </span>(Net amount after Operating expenses.)<br /><div class="i1">$ (Nearest dollars) _____.00<br />[] None</div><br /></svar></p> <p><svar v="PR70A444 PR70A440 PR70A442" a="PR70A444"><span class="em">c. How much did he earn in 1969 from his own farm?</span> (Net amount after operating expenses. )<br /><div class="i1">$ (Nearest dollars) _____.00<br />[] None</div><br /></svar></p> <p><svar v="PR70A445 PR70A440 PR70A442" a="PR70A445"><span class="em">35.a. How much did this person receive in 1969 from Social Security or retirement? </span><br /><div class="i1">$ (Nearest dollars) _____.00<br />[] None</div><br /></svar></p> <p><svar v="PR70A446 PR70A440 PR70A442" a="PR70A446"><span class="em">b. How much did he receive in 1969 from public assistance or welfare payments?</span><br />Include aid to minors, old age assistance, general assistance, aid to the blind or totally disabled. Exclude separate payments for hospital or other medical care.<br /><div class="i1">$ (Nearest dollars) _____.00<br />[] None</div><br /></svar></p> <p><svar v="PR70A447 PR70A440 PR70A442" a="PR70A447"><span class="em">c. How much did he receive in 1969 from other sources? </span><br />Include interest, dividends, veterans' payments, pensions, and other regular payments.)<br /><div class="i1">$ (Nearest dollars) _____.00<br />[] None</div><br /></svar> Puerto Rico 1970: Persons age 14+ [discrepancies: none] This variable identifies the total personal income. This is a 5-digit numeric variable. Codes99999 = NIU (not in universe). Income Variables -- PERSON Wage and salary income <svar v="PR70A441 PR70A440 PR70A442" a="all"><span class="em">34a. How much did this person earn during 1969 in wages, salary, commissions, bonuses, or tips from all jobs?</span> (Before deductions for taxes, etc.)<br /><div class="i1">$ (Nearest dollars) _____.00<br />[] None</div><br /></svar> Puerto Rico 1970: Persons age 14+ [discrepancies: none] This variable identifies the wage and salary income of the person. This is a 5-digit numeric variable. Codes99999 = NIU (not in universe). Income Variables -- PERSON Poverty status <svar v="PR70A441 PR70A440 PR70A442" a="all"><span class="em">34a. How much did this person earn during 1969 in wages, salary, commissions, bonuses, or tips from all jobs?</span> (Before deductions for taxes, etc.)<br /><div class="i1">$ (Nearest dollars) _____.00<br />[] None</div><br /></svar></p> <p><svar v="PR70A443 PR70A440 PR70A442" a="PR70A443"><span class="em">b. How much did he earn in 1969 from his own nonfarm business, professional practice, or partnership? </span>(Net amount after Operating expenses.)<br /><div class="i1">$ (Nearest dollars) _____.00<br />[] None</div><br /></svar></p> <p><svar v="PR70A444 PR70A440 PR70A442" a="PR70A444"><span class="em">c. How much did he earn in 1969 from his own farm?</span> (Net amount after operating expenses. )<br /><div class="i1">$ (Nearest dollars) _____.00<br />[] None</div><br /></svar></p> <p><svar v="PR70A445 PR70A440 PR70A442" a="PR70A445"><span class="em">35.a. How much did this person receive in 1969 from Social Security or retirement? </span><br /><div class="i1">$ (Nearest dollars) _____.00<br />[] None</div><br /></svar></p> <p><svar v="PR70A446 PR70A440 PR70A442" a="PR70A446"><span class="em">b. How much did he receive in 1969 from public assistance or welfare payments?</span><br />Include aid to minors, old age assistance, general assistance, aid to the blind or totally disabled. Exclude separate payments for hospital or other medical care.<br /><div class="i1">$ (Nearest dollars) _____.00<br />[] None</div><br /></svar></p> <p><svar v="PR70A447 PR70A440 PR70A442" a="PR70A447"><span class="em">c. How much did he receive in 1969 from other sources? </span><br />Include interest, dividends, veterans' payments, pensions, and other regular payments.)<br /><div class="i1">$ (Nearest dollars) _____.00<br />[] None</div><br /></svar> Puerto Rico 1970: Persons not in group quarters This variable identifies the poverty status of the person. This is a 3-digit numeric variable. Codes000 = NIU (not in universe). 001 = 1 percent or less of poverty threshold. 501 = 501 percent or more of poverty threshold. Income Variables -- PERSON Non-farm business income <svar v="PR70A443 PR70A440 PR70A442" a="PR70A443"><span class="em">b. How much did he earn in 1969 from his own nonfarm business, professional practice, or partnership? </span>(Net amount after Operating expenses.)<br /><div class="i1">$ (Nearest dollars) _____.00<br />[] None</div><br /></svar> Puerto Rico 1970: Persons age 14+ [discrepancies: none] This variable identifies the non-farm business income of the person. This is a 5-digit numeric variable. Codes99999 = NIU (not in universe). Income Variables -- PERSON Farm income <svar v="PR70A444 PR70A440 PR70A442" a="PR70A444"><span class="em">c. How much did he earn in 1969 from his own farm?</span> (Net amount after operating expenses. )<br /><div class="i1">$ (Nearest dollars) _____.00<br />[] None</div><br /></svar> Puerto Rico 1970: Persons age 14+ [discrepancies: none] This variable identifies the farm income of the person. This is a 5-digit numeric variable. Codes99999 = NIU (not in universe). Income Variables -- PERSON Social Security income <svar v="PR70A445 PR70A440 PR70A442" a="PR70A445"><span class="em">35.a. How much did this person receive in 1969 from Social Security or retirement? </span><br /><div class="i1">$ (Nearest dollars) _____.00<br />[] None</div><br /></svar> Puerto Rico 1970: Persons age 14+ [discrepancies: none] This variable identifies the Social Security income of the person. This is a 4-digit numeric variable. Codes9999 = NIU (not in universe). Income Variables -- PERSON Welfare (public assistance) income <svar v="PR70A446 PR70A440 PR70A442" a="PR70A446"><span class="em">b. How much did he receive in 1969 from public assistance or welfare payments?</span><br />Include aid to minors, old age assistance, general assistance, aid to the blind or totally disabled. Exclude separate payments for hospital or other medical care.<br /><div class="i1">$ (Nearest dollars) _____.00<br />[] None</div><br /></svar> Puerto Rico 1970: Persons age 14+ [discrepancies: none] This variable identifies the welfare (public assistance) income of the person. This is a 4-digit numeric variable. Codes9999 = NIU (not in universe). Income Variables -- PERSON Other income <svar v="PR70A447 PR70A440 PR70A442" a="PR70A447"><span class="em">c. How much did he receive in 1969 from other sources? </span><br />Include interest, dividends, veterans' payments, pensions, and other regular payments.)<br /><div class="i1">$ (Nearest dollars) _____.00<br />[] None</div><br /></svar> Puerto Rico 1970: Persons age 14+ [discrepancies: none] This variable identifies the other income of the person. This is a 5-digit numeric variable. Codes99999 = NIU (not in universe). Income Variables -- PERSON Migration status, 5 years <svar v="PR70A448 PR70A449 PR70A450" a="PR70A448"><span class="em">18a. Was this person living here on April 1, 1965?</span> If in college or Armed Forces in April 1965, report place of residence there.<br /><div class="i1">[] Born April 1965 or later. (Skip to 19)<br />[] Yes, this house (Skip to 18c)<br />[] No, in another house</div><br /></svar></p> <p><svar v="PR70A448 PR70A449 PR70A450" a="PR70A449 PR70A450"><span class="em">b. Where did he live on April 1, 1965? </span><br /><div class="i1">(1) Outside of Puerto Rico (State, territory, foreign country)</div><br /><div class="i2">_____</div><br /><div class="i1">(2) In Puerto Rico (Municipality, barrio)</div><br /><div class="i2">_____</div><br /><div class="i1">(3) Inside the limits of a city, town, village, etc.?</div><br /><div class="i2">[] Yes<br />[] No</div><br /><div class="i1">(4) If "Yes", name of city, town, village, etc.</div><br /><div class="i2">_____</div><br /></svar> Puerto Rico 1970: Persons age 5+ [discrepancies: none] This variable identifies the migration status of the person 5 years ago. 10 Same house 20 Moved, place not reported 30 Moved within municipality 40 Moved between municipalities 50 Moved from the US 60 Other foreign country 99 NIU (not in universe) Migration: Global Variables -- PERSON State or country of residence 5 years ago <svar v="PR70A448 PR70A449 PR70A450" a="PR70A448"><span class="em">18a. Was this person living here on April 1, 1965?</span> If in college or Armed Forces in April 1965, report place of residence there.<br /><div class="i1">[] Born April 1965 or later. (Skip to 19)<br />[] Yes, this house (Skip to 18c)<br />[] No, in another house</div><br /></svar></p> <p><svar v="PR70A448 PR70A449 PR70A450" a="PR70A449 PR70A450"><span class="em">b. Where did he live on April 1, 1965? </span><br /><div class="i1">(1) Outside of Puerto Rico (State, territory, foreign country)</div><br /><div class="i2">_____</div><br /><div class="i1">(2) In Puerto Rico (Municipality, barrio)</div><br /><div class="i2">_____</div><br /><div class="i1">(3) Inside the limits of a city, town, village, etc.?</div><br /><div class="i2">[] Yes<br />[] No</div><br /><div class="i1">(4) If "Yes", name of city, town, village, etc.</div><br /><div class="i2">_____</div><br /></svar> Puerto Rico 1970: Persons age 5+ who lived in a different country 5 years ago [discrepancies: type I 0.3%; type II none] This variable identifies the state or country of residence of the person 5 years ago. 001 Alabama 002 Alaska 004 Arizona 005 Arkansas 006 California 008 Colorado 009 Connecticut 010 Delaware 011 District of Columbia 012 Florida 013 Georgia 015 Hawaii 017 Illinois 018 Indiana 020 Kansas 021 Kentucky 022 Louisiana 023 Maine 024 Maryland 025 Massachusetts 026 Michigan 029 Missouri 031 Nebraska 034 New Jersey 035 New Mexico 036 New York 037 North Carolina 038 North Dakota 039 Ohio 040 Oklahoma 041 Oregon 042 Pennsylvania 044 Rhode Island 045 South Carolina 046 South Dakota 047 Tennessee 048 Texas 051 Virginia 053 Washington 054 West Virginia 055 Wisconsin 105 Guam 115 Virgin Islands 150 Canada 200 Mexico 213 El Salvador 217 Panama 250 Cuba 261 Dominican Republic 262 Haiti 263 Jamaica 266 Trinidad and Tobago 305 Argentina 310 Bolivia 320 Chile 325 Colombia 330 Ecuador 365 Venezuela 410 England 411 Scotland 435 Italy 436 Portugal 438 Spain 450 Austria 453 Germany 499 Europe, n.s. 501 Japan 515 Philippines 518 Vietnam 535 Jordan 610 Northern Africa 699 Africa, n.e.c. 998 Unknown 999 NIU (not in universe) Migration: Global Variables -- PERSON Metropolitan status 5 years ago <svar v="PR70A448 PR70A449 PR70A450" a="PR70A448"><span class="em">18a. Was this person living here on April 1, 1965?</span> If in college or Armed Forces in April 1965, report place of residence there.<br /><div class="i1">[] Born April 1965 or later. (Skip to 19)<br />[] Yes, this house (Skip to 18c)<br />[] No, in another house</div><br /></svar></p> <p><svar v="PR70A448 PR70A449 PR70A450" a="PR70A449 PR70A450"><span class="em">b. Where did he live on April 1, 1965? </span><br /><div class="i1">(1) Outside of Puerto Rico (State, territory, foreign country)</div><br /><div class="i2">_____</div><br /><div class="i1">(2) In Puerto Rico (Municipality, barrio)</div><br /><div class="i2">_____</div><br /><div class="i1">(3) Inside the limits of a city, town, village, etc.?</div><br /><div class="i2">[] Yes<br />[] No</div><br /><div class="i1">(4) If "Yes", name of city, town, village, etc.</div><br /><div class="i2">_____</div><br /></svar> Puerto Rico 1970: Persons age 5+ [discrepancies: type I none; type II 4.4%] This variable identifies the metropolitan status of the person 5 years ago. 1 Not in a metro area 2 In a metro area, central city status unknown 8 Unknown 9 NIU (not in universe) Migration: Global Variables -- PERSON When occupant moved into residence <svar v="PR70A451" a="all"><span class="em">17. When did this person move into this house (or apartment)?<br /></span> <div class="i1">Mark circle for date of <span class="em">last</span> move.</div><br /><div class="i2">[] 1969 or 70<br />[] 1968<br />[] 1967<br />[] 1965 or 66<br />[] 1960 to 64<br />[] 1950 to 59<br />[] 1949 or earlier<br />[] Always lived in this house or apartment</div><br /></svar> Puerto Rico 1970: All persons This variable identifies the year the person moved into the dwelling. 1 This year or last year 2 2 years ago 3 3 years ago 4 4 - 5 years ago 5 6 - 10 years ago 6 11 - 20 years ago 7 21 or more years ago 9 Always lived here Migration: Global Variables -- PERSON Place of work: metropolitan status <svar v="PR70A453 PR70A452" a="all"><span class="em">c. Where did he work last week? </span><br />If he worked in more than one place, indicate where he worked most last week.<br /><div class="i1">(1) Address (Number and street name)</div><br /><div class="i2">_____</div><br /><div class="i1">(2) Name of city, town, village, etc.</div><br /><div class="i2">_____</div><br /><div class="i1">(3) Inside the limits of this city, town, village, etc.?</div><br /><div class="i2">[] Yes<br />[] No</div><br /><div class="i1">(4) Barrio</div><br /><div class="i2">_____</div><div class="i1">(5) Municipality</div><br /><div class="i2">_____</div><br /><div class="i1">(6) Zip Code</div><br /><div class="i2">_____</div><br /></svar> Puerto Rico 1970: Persons age 14+ who worked last week [discrepancies: type I 0.3%; type II none] This variable identifies the metropolitan status of the person’s place of work. 03 In central city, not central business district 04 Not central city 08 Outside metropolitan area or abroad 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Place of work <svar v="PR70A453 PR70A452" a="all"><span class="em">c. Where did he work last week? </span><br />If he worked in more than one place, indicate where he worked most last week.<br /><div class="i1">(1) Address (Number and street name)</div><br /><div class="i2">_____</div><br /><div class="i1">(2) Name of city, town, village, etc.</div><br /><div class="i2">_____</div><br /><div class="i1">(3) Inside the limits of this city, town, village, etc.?</div><br /><div class="i2">[] Yes<br />[] No</div><br /><div class="i1">(4) Barrio</div><br /><div class="i2">_____</div><div class="i1">(5) Municipality</div><br /><div class="i2">_____</div><br /><div class="i1">(6) Zip Code</div><br /><div class="i2">_____</div><br /></svar> Puerto Rico 1970: Persons age 14+ who worked last week [discrepancies: type I 0.3%; type II none] This variable identifies if the person worked in the same state they lived. 1 Same state 8 Not reported or abroad 9 NIU (not in universe) Work Variables -- PERSON Veteran status <svar v="PR70A454 PR70A455 PR70A458 PR70A456 PR70A457 PR70A459">[If this is a man]<br /></svar></p> <p><svar v="PR70A454 PR70A455 PR70A458 PR70A456 PR70A457 PR70A459" a="all"><span class="em">24. Has he ever served in the Army, Navy, or other Armed Forces of the United States? </span><br /><div class="i1">[] Yes<br />[] No</div><br /></svar> Puerto Rico 1970: Males age 14+ [discrepancies: type I none; type II 0.3%] This variable identifies the veteran status of the person. 1 No service 2 Yes 8 Unknown 9 NIU (not in universe) Other Person Variables -- PERSON Veteran, served during WWI era <svar v="PR70A454 PR70A455 PR70A458 PR70A456 PR70A457 PR70A459">[If this is a man]<br /></svar></p> <p><svar v="PR70A454 PR70A455 PR70A458 PR70A456 PR70A457 PR70A459" a="all"><span class="em">24. Has he ever served in the Army, Navy, or other Armed Forces of the United States? </span><br /><div class="i1">[] Yes<br />[] No</div><br /></svar></p> <p><svar v="PR70A455 PR70A458 PR70A456 PR70A457 PR70A459"><div class="i1">(Fill the circle for each period of service.)</div><br /><div class="i2">[] Vietnam Conflict (Since Aug. 1964)<br />[] Korean War (June 1950 to Jan. 1955)<br />[] World War II (Sept. 1940 to July 1947)<br />[] World War I (April 1917 to Nov. 1918)<br />[] Any other time</div><br /></svar> Puerto Rico 1970: Males age 14+ [discrepancies: type I none; type II 0.3%] This variable identifies if the person was engaged in active-duty military service in the armed forces of the United States during the WWI era. 1 No 2 Yes, served this period 8 Unknown 9 NIU (not in universe) Other Person Variables -- PERSON Veteran, served during Vietnam era <svar v="PR70A454 PR70A455 PR70A458 PR70A456 PR70A457 PR70A459">[If this is a man]<br /></svar></p> <p><svar v="PR70A454 PR70A455 PR70A458 PR70A456 PR70A457 PR70A459" a="all"><span class="em">24. Has he ever served in the Army, Navy, or other Armed Forces of the United States? </span><br /><div class="i1">[] Yes<br />[] No</div><br /></svar></p> <p><svar v="PR70A455 PR70A458 PR70A456 PR70A457 PR70A459"><div class="i1">(Fill the circle for each period of service.)</div><br /><div class="i2">[] Vietnam Conflict (Since Aug. 1964)<br />[] Korean War (June 1950 to Jan. 1955)<br />[] World War II (Sept. 1940 to July 1947)<br />[] World War I (April 1917 to Nov. 1918)<br />[] Any other time</div><br /></svar> Puerto Rico 1970: Males age 14+ [discrepancies: type I none; type II 0.3%] This variable identifies if the person was engaged in active-duty military service in the armed forces of the United States during the Vietnam era. 1 No 2 Yes, Vietnam-era veteran 8 Unknown 9 NIU (not in universe) Other Person Variables -- PERSON Veteran, served during Korean conflict era <svar v="PR70A454 PR70A455 PR70A458 PR70A456 PR70A457 PR70A459">[If this is a man]<br /></svar></p> <p><svar v="PR70A454 PR70A455 PR70A458 PR70A456 PR70A457 PR70A459" a="all"><span class="em">24. Has he ever served in the Army, Navy, or other Armed Forces of the United States? </span><br /><div class="i1">[] Yes<br />[] No</div><br /></svar></p> <p><svar v="PR70A455 PR70A458 PR70A456 PR70A457 PR70A459"><div class="i1">(Fill the circle for each period of service.)</div><br /><div class="i2">[] Vietnam Conflict (Since Aug. 1964)<br />[] Korean War (June 1950 to Jan. 1955)<br />[] World War II (Sept. 1940 to July 1947)<br />[] World War I (April 1917 to Nov. 1918)<br />[] Any other time</div><br /></svar> Puerto Rico 1970: Males age 14+ [discrepancies: type I none; type II 0.3%] This variable identifies if the person was engaged in active-duty military service in the armed forces of the United States during the Korean conflict era. 1 No 2 Yes, served this period 8 Unknown 9 NIU (not in universe) Other Person Variables -- PERSON Veteran, served during WWII era <svar v="PR70A454 PR70A455 PR70A458 PR70A456 PR70A457 PR70A459">[If this is a man]<br /></svar></p> <p><svar v="PR70A454 PR70A455 PR70A458 PR70A456 PR70A457 PR70A459" a="all"><span class="em">24. Has he ever served in the Army, Navy, or other Armed Forces of the United States? </span><br /><div class="i1">[] Yes<br />[] No</div><br /></svar></p> <p><svar v="PR70A455 PR70A458 PR70A456 PR70A457 PR70A459"><div class="i1">(Fill the circle for each period of service.)</div><br /><div class="i2">[] Vietnam Conflict (Since Aug. 1964)<br />[] Korean War (June 1950 to Jan. 1955)<br />[] World War II (Sept. 1940 to July 1947)<br />[] World War I (April 1917 to Nov. 1918)<br />[] Any other time</div><br /></svar> Puerto Rico 1970: Males age 14+ [discrepancies: type I none; type II 0.3%] This variable identifies if the person was engaged in active-duty military service in the armed forces of the United States during the WWII era. 1 No 2 Yes, served this period 8 Unknown 9 NIU (not in universe) Other Person Variables -- PERSON Veteran of other period <svar v="PR70A454 PR70A455 PR70A458 PR70A456 PR70A457 PR70A459">[If this is a man]<br /></svar></p> <p><svar v="PR70A454 PR70A455 PR70A458 PR70A456 PR70A457 PR70A459" a="all"><span class="em">24. Has he ever served in the Army, Navy, or other Armed Forces of the United States? </span><br /><div class="i1">[] Yes<br />[] No</div><br /></svar></p> <p><svar v="PR70A455 PR70A458 PR70A456 PR70A457 PR70A459"><div class="i1">(Fill the circle for each period of service.)</div><br /><div class="i2">[] Vietnam Conflict (Since Aug. 1964)<br />[] Korean War (June 1950 to Jan. 1955)<br />[] World War II (Sept. 1940 to July 1947)<br />[] World War I (April 1917 to Nov. 1918)<br />[] Any other time</div><br /></svar> Puerto Rico 1970: Males age 14+ [discrepancies: type I none; type II 0.3%] This variable identifies if the person was engaged in active-duty military service in the armed forces of the United States during other periods. 1 No 2 Yes, served this period(s) 8 Unknown 9 NIU (not in universe) Other Person Variables -- PERSON Means of transportation to work <svar v="PR70A460" a="all"><span class="em">d. What means of transportation did he use to get to work?</span><br />(Mark the most recently used one.).<br /><div class="i1">[] Driver, private car<br />[] Taxi<br />[] Passenger, private car<br />[] Walked only<br />[] Bus<br />[] Worked at home<br />[] Public car<br />[] Ferry boat<br />[] Other means -- Specify</div><br /><div class="i2">_____</div><br /></svar> Puerto Rico 1970: Persons age 14+ who worked last week [discrepancies: type I 0.3%; type II none] This variable identifies the person’s means of transportation to get to work. 12 Driver 13 Passenger 30 Bus or streetcar 33 Subway or elevated 34 Railroad 35 Taxicab 50 Walked only 60 Other 70 Worked at home 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Quarter of birth <svar v="PR70A418 PR70A461" a="PR70A461"><span class="em">5. Month of birth<br /></span><div class="i1">Fill one circle</div><br /><div class="i2">[] January - March<br />[] April - June<br />[] July - September<br />[] October - December</div><br /></svar> Puerto Rico 1970: All persons This variable identifies the quarter of birth of the person. 1 January-February-March 2 April-May-June 3 July-August-September 4 October-November-December Demographic Variables -- PERSON Flag for age Puerto Rico 1970: All persons This variable identifies the flag for age. 0 Entered as written 4 Allocated Person Imputation Flags Variables -- PERSON Flag for bpl, nativity Puerto Rico 1970: All persons This variable identifies the flag for bpl, nativity. 0 Entered as written 4 Allocated Person Imputation Flags Variables -- PERSON Flag for chborn Puerto Rico 1970: All persons This variable identifies the flag for chborn. 0 NIU (not in universe) 4 Allocated, original entry failed edit Person Imputation Flags Variables -- PERSON Flag for classwkr Puerto Rico 1970: All persons This variable identifies the flag for classwkr. 0 NIU (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for inctot, incss, incwelf, incother Puerto Rico 1970: All persons This variable identifies the flag for inctot, incss, incwelf, incother. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for fbpl, nativity Puerto Rico 1970: All persons This variable identifies the flag for fbpl, nativity. 0 NIU (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for educrec, higrade, educ99 Puerto Rico 1970: All persons This variable identifies the flag for educrec, higrade, educ99. 0 NIU (not in universe) 4 Consistency edit Person Imputation Flags Variables -- PERSON Flag for hrswork1 Hrswork2 Puerto Rico 1970: All persons This variable identifies the flag for hrswork1 Hrswork2. 0 NIU (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for incbus, inctot, incearn Puerto Rico 1970: All persons This variable identifies the flag for incbus, inctot, incearn. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for incfarm, inctot, incearn Puerto Rico 1970: All persons This variable identifies the flag for incfarm, inctot, incearn. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for incother, inctot Puerto Rico 1970: All persons This variable identifies the flag for incother, inctot. 0 NIU (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for incss, inctot Puerto Rico 1970: All persons This variable identifies the flag for incss, inctot. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for incwage, inctot, incearn Puerto Rico 1970: All persons This variable identifies the flag for incwage, inctot, incearn. 0 NIU (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for incwelfr, inctot Puerto Rico 1970: All persons This variable identifies the flag for incwelfr, inctot. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for ind, ind1950 Puerto Rico 1970: All persons This variable identifies the flag for ind, ind1950. 0 NIU (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for mbpl, nativity Puerto Rico 1970: All persons This variable identifies the flag for mbpl, nativity. 0 NIU (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for marst Puerto Rico 1970: All persons This variable identifies the flag for marst. 0 Entered as written 4 Allocated Person Imputation Flags Variables -- PERSON Flag for schlvoc Puerto Rico 1970: All persons This variable identifies the flag for schlvoc. 0 Not allocated 6 Training only Person Imputation Flags Variables -- PERSON Flag for migplac5, migmet5, migcity5, migtype5, migtyp00 Puerto Rico 1970: All persons This variable identifies the flag for migplac5, migmet5, migcity5, migtype5, migtyp00. 0 NIU (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for migrate5 Puerto Rico 1970: All persons This variable identifies the flag for migrate5. 0 NIU (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for movedin Puerto Rico 1970: All persons This variable identifies the flag for movedin. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for occ, occ1950, SEI, occscore, occsoc, labforce Puerto Rico 1970: All persons This variable identifies the flag for occ, occ1950, SEI, occscore, occsoc, labforce. 0 Entered as written 4 Allocated Person Imputation Flags Variables -- PERSON Flag for relate Puerto Rico 1970: All persons This variable identifies the flag for relate. 0 Entered as written 4 Allocated Person Imputation Flags Variables -- PERSON Flag for school, schltype Puerto Rico 1970: All persons This variable identifies the flag for school, schltype. 0 NIU (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for sex Puerto Rico 1970: All persons This variable identifies the flag for sex. 0 Entered as written 4 Allocated Person Imputation Flags Variables -- PERSON Flag for speakeng Puerto Rico 1970: All persons This variable identifies the flag for speakeng. 0 Not allocated 4 Allocated, hot deck Person Imputation Flags Variables -- PERSON Flag for tranwork Puerto Rico 1970: All persons This variable identifies the flag for tranwork. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for all veteran variables Puerto Rico 1970: All persons This variable identifies the flag for vetstat, vet55x64, vet75x80, vet80x90, vet90x95, vetkorea, vetother, vetvietn, vetwwi, vetwwii, vet01ltr, vet47x50, vet90x01. 0 NIU (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for wkswork1, wkswork2 Puerto Rico 1970: All persons This variable identifies the flag for wkswork1, wkswork2. 0 NIU (not in universe) 4 Allocated, pre-edit Person Imputation Flags Variables -- PERSON Flag for workedyr Puerto Rico 1970: All persons This variable identifies the flag for workedyr. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for yrlastwk Puerto Rico 1970: All persons This variable identifies the flag for yrlastwk. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Occupation, 2000 basis <svar v="PR70A429 PR70A430 PR70A433 PR70A434 PR70A435 PR70A495 PR70A496 PR70A499 PR70A500 PR70A501"><span class="em">30-32. Show in questions 30-32 this person's job or business during the last week. If he had no job or business last week, give information for most recent job or business since 1960.</span><br /></svar></p> <p><svar v="PR70A495 PR70A429 PR70A430 PR70A499 PR70A501" a="all"><span class="em">31a. What kind of work was he doing? </span><br /><div class="i1">_____</div><br />(For example: TV repairman, seamstress, civil engineer, farm operator, junior high school English teacher, etc.)<br /></svar></p> <p><svar v="PR70A495 PR70A429 PR70A430 PR70A499 PR70A501"><span class="em">b. What were his most important activities or duties? </span><br /><div class="i1">_____<br />(For example: Types, keeps account books, filing, sells cars, janitor, bricklayer, etc.)</div><br /></svar> Puerto Rico 1970: Persons age 14+ who had worked within the previous ten years, and persons seeking work who last worked ten years ago [discrepancies: not verifiable] This variable identifies the occupation. of the person. 005 Marketing and sales managers 012 Financial managers 020 Farm, ranch, and other agricultural managers 021 Farmers and ranchers 023 Education administrators 032 Funeral directors 035 Medical and health services managers 040 Postmasters and mail superintendents 041 Property, real estate, and community association managers 043 Managers, all other 051 Purchasing agents and buyers, farm products 052 Wholesale and retail buyers, except farm products 053 Purchasing agents, except wholesale, retail, and farm products 054 Claims adjusters, appraisers, examiners, and investigators 062 Human resources, training, and labor relations specialists 080 Accountants and auditors 100 Computer scientists and systems analysts 101 Computer programmers 123 Statisticians 130 Architects, except naval 135 Chemical engineers 136 Civil engineers 141 Electrical and electronic engineers 143 Industrial engineers, including health and safety 146 Mechanical engineers 150 Mining and geological engineers, including mining safety engineers 152 Petroleum engineers 153 Engineers, all other 154 Drafters 155 Engineering technicians, except drafters 156 Surveying and mapping technicians 160 Agricultural and food scientists 161 Biological scientists 170 Astronomers and physicists 172 Chemists and materials scientists 181 Market and survey researchers 182 Psychologists 190 Agricultural and food science technicians 192 Chemical technicians 196 Other life, physical, and social science technicians 200 Counselors 201 Social workers 202 Miscellaneous community and social service specialists 204 Clergy 206 Religious workers, all other 210 Lawyers 211 Judges, magistrates, and other judicial workers 215 Miscellaneous legal support workers 220 Postsecondary teachers 230 Preschool and kindergarten teachers 231 Elementary and middle school teachers 232 Secondary school teachers 234 Other teachers and instructors 240 Archivists, curators, and museum technicians 243 Librarians 254 Teacher assistants 260 Artists and related workers 263 Designers 271 Producers and directors 272 Athletes, coaches, umpires, and related workers 275 Musicians, singers, and related workers 280 Announcers 282 Public relations specialists 283 Editors 284 Technical writers 290 Broadcast and sound engineering technicians and radio operators 291 Photographers 301 Dentists 303 Dietitians and nutritionists 304 Optometrists 305 Pharmacists 306 Physicians and surgeons 313 Registered nurses 316 Physical therapists 325 Veterinarians 330 Clinical laboratory technologists and technicians 332 Diagnostic related technologists and technicians 340 Emergency medical technicians and paramedics 350 Licensed practical and licensed vocational nurses 351 Medical records and health information technicians 352 Opticians, dispensing 360 Nursing, psychiatric, and home health aides 364 Dental assistants 365 Medical assistants and other healthcare support occupations 374 Fire fighters 380 Bailiffs, correctional officers, and jailers 385 Police and sheriff's patrol officers 392 Security guards and gaming surveillance officers 401 First-line supervisors/managers of food preparation and serving workers 402 Cooks 404 Bartenders 406 Counter attendants, cafeteria, food concession, and coffee shop 413 Dining room and cafeteria attendants and bartender helpers 414 Dishwashers 415 Hosts and hostesses, restaurant, lounge, and coffee shop 422 Janitors and building cleaners 423 Maids and housekeeping cleaners 425 Grounds maintenance workers 435 Nonfarm animal caretakers 441 Motion picture projectionists 443 Miscellaneous entertainment attendants and related workers 450 Barbers 451 Hairdressers, hairstylists, and cosmetologists 453 Baggage porters, bellhops, and concierges 460 Child care workers 462 Recreation and fitness workers 470 First-line supervisors/managers of retail sales workers 472 Cashiers 474 Counter and rental clerks 476 Retail salespersons 480 Advertising sales agents 481 Insurance sales agents 482 Securities, commodities, and financial services sales agents 485 Sales representatives, wholesale and manufacturing 492 Real estate brokers and sales agents 495 Door-to-door sales workers, news and street vendors, and related workers 500 First-line supervisors/managers of office and administrative support workers 501 Switchboard operators, including answering service 502 Telephone operators 510 Bill and account collectors 511 Billing and posting clerks and machine operators 512 Bookkeeping, accounting, and auditing clerks 514 Payroll and timekeeping clerks 516 Tellers 524 Customer service representatives 526 File Clerks 531 Interviewers, except eligibility and loan 532 Library assistants, clerical 540 Receptionists and information clerks 541 Reservation and transportation ticket agents and travel clerks 551 Couriers and messengers 552 Dispatchers 553 Meter readers, utilities 554 Postal service clerks 560 Production, planning, and expediting clerks 561 Shipping, receiving, and traffic clerks 562 Stock clerks and order fillers 563 Weighers, measurers, checkers, and samplers, recordkeeping 570 Secretaries and administrative assistants 580 Computer operators 581 Data entry keyers 582 Word processors and typists 585 Mail clerks and mail machine operators, except postal service 586 Office clerks, general 593 Office and administrative support workers, all other 600 First-line supervisors/managers of farming, fishing, and forestry workers 601 Agricultural inspectors 605 Miscellaneous agricultural workers 610 Fishers and related fishing workers 621 Boilermakers 622 Brick masons, block masons, and stonemasons 623 Carpenters 624 Carpet, floor, and tile installers and finishers 625 Cement masons, concrete finishers, and terrazzo workers 626 Construction laborers 632 Operating engineers and other construction equipment operators 633 Drywall installers, ceiling tile installers, and tapers 635 Electricians 642 Painters, construction and maintenance 644 Pipe layers, plumbers, pipefitters, and steamfitters 646 Plasterers and stucco masons 651 Roofers 652 Sheet metal workers 653 Structural iron and steel workers 660 Helpers, construction trades 673 Highway maintenance workers 682 Earth drillers, except oil and gas 683 Explosives workers, ordnance handling experts, and blasters 684 Mining machine operators 702 Radio and telecommunications equipment installers and repairers 714 Aircraft mechanics and service technicians 715 Automotive body and related repairers 720 Automotive service technicians and mechanics 722 Heavy vehicle and mobile equipment service technicians and mechanics 731 Heating, air conditioning, and refrigeration mechanics and installers 732 Home appliance repairers 733 Industrial and refractory machinery mechanics 734 Maintenance and repair workers, general 735 Maintenance workers, machinery 736 Millwrights 741 Electrical power-line installers and repairers 742 Telecommunications line installers and repairers 743 Precision instrument and equipment repairers 762 Other installation, maintenance, and repair workers 770 First-line supervisors/managers of production and operating workers 775 Miscellaneous assemblers and fabricators 780 Bakers 781 Butchers and other meat, poultry, and fish processing workers 795 Cutting, punching, and press machine setters, operators, and tenders, metal and plastic 796 Drilling and boring machine tool setters, operators, and tenders, metal and plastic 800 Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic 801 Lathe and turning machine tool setters, operators, and tenders, metal and plastic 803 Machinists 804 Metal furnace and kiln operators and tenders 813 Tool and die makers 814 Welding, soldering, and brazing workers 815 Heat treating equipment setters, operators, and tenders, metal and plastic 822 Metalworkers and plastic workers, all other 823 Bookbinders and bindery workers 825 Prepress technicians and workers 826 Printing machine operators 830 Laundry and dry-cleaning workers 831 Pressers, textile, garment, and related materials 832 Sewing machine operators 833 Shoe and leather workers and repairers 834 Shoe machine operators and tenders 835 Tailors, dressmakers, and sewers 841 Textile knitting and weaving machine setters, operators, and tenders 842 Textile winding, twisting, and drawing out machine setters, operators, and tenders 845 Upholsterers 846 Textile, apparel, and furnishings workers, all other 850 Cabinetmakers and bench carpenters 851 Furniture finishers 853 Sawing machine setters, operators, and tenders, wood 860 Power plant operators, distributors, and dispatchers 861 Stationary engineers and boiler operators 865 Crushing, grinding, polishing, mixing, and blending workers 871 Cutting workers 874 Inspectors, testers, sorters, samplers, and weighers 876 Medical, dental, and ophthalmic laboratory technicians 880 Packaging and filling machine operators and tenders 881 Painting workers 883 Photographic process workers and processing machine operators 891 Etchers and engravers 895 Helpers--production workers 896 Production workers, all other 903 Aircraft pilots and flight engineers 904 Air traffic controllers and airfield operations specialists 912 Bus drivers 913 Driver/sales workers and truck drivers 914 Taxi drivers and chauffeurs 920 Locomotive engineers and operators 923 Railroad brake, signal, and switch operators 930 Sailors and marine oilers 931 Ship and boat captains and operators 935 Parking lot attendants 936 Service station attendants 951 Crane and tower operators 960 Industrial truck and tractor operators 961 Cleaners of vehicles and equipment 962 Laborers and freight, stock, and material movers, hand 964 Packers and packagers, hand 972 Refuse and recyclable material collectors 975 Material moving workers, all other 982 Military enlisted tactical operations and air/weapons specialists and crew members 992 Unemployed, not classified by occupation 998 Unknown 999 NIU (not in universe) Work: Occupation Variables -- PERSON Industry, 2000 basis <svar v="PR70A429 PR70A430 PR70A433 PR70A434 PR70A435 PR70A495 PR70A496 PR70A499 PR70A500 PR70A501"><span class="em">30-32. Show in questions 30-32 this person's job or business during the last week. If he had no job or business last week, give information for most recent job or business since 1960.</span><br /></svar></p> <p><svar v="PR70A433 PR70A434 PR70A496 PR70A500" a="all"><span class="em">30a. For whom did he work?</span><br /><div class="i1">_____ (Name of company, business, organization, or other employer)<br />[] Now serving in the Armed Forces (Skip to 33)</div><br /><span class="em">b. What kind of business or industry was this?</span><br /><div class="i1">_____<br />(For example: Junior high school, retail supermarket, TV and radio service, dairy farm, sugar mill, etc.)</div><br /><span class="em">c. Is this business or industry mainly -</span><br /><div class="i1">[] Manufacturing<br />[] Wholesale trade<br />[] Retail trade<br />[] Other (agriculture, construction, service, government, etc.)</div><br /></svar> Puerto Rico 1970: Persons age 14+ who had worked within the previous ten years, and persons seeking work who last worked ten years ago [discrepancies: not verifiable] This variable identifies the industry of the person. 017 Crop production 028 Fishing, hunting, and trapping 029 Support activities for agriculture and forestry 038 Coal mining 047 Nonmetallic mineral mining and quarrying 049 Support activities for mining 057 Electric power generation, transmission and distribution 067 Water, steam, air conditioning, and irrigation systems 069 Not specified utilities 077 Construction 107 Animal food, grain, and oilseed milling 108 Sugar and confectionery products 109 Fruit and vegetable preserving and specialty food manufacturing 117 Dairy product manufacturing 118 Animal slaughtering and processing 119 Retail bakeries 127 Bakeries, except retail 128 Seafood and other miscellaneous foods, n.e.c. 129 Not specified food industries 137 Beverage manufacturing 139 Tobacco manufacturing 148 Fabric mills, except knitting 157 Carpets and rugs manufacturing 159 Textile product mills except carpets and rugs 167 Knitting mills 168 Cut and sew apparel manufacturing 177 Footwear manufacturing 179 Leather tanning and products, except footwear manufacturing 187 Pulp, paper, and paperboard mills 188 Paperboard containers and boxes 189 Miscellaneous paper and pulp products 199 Printing and related support activities 207 Petroleum refining 209 Miscellaneous petroleum and coal products 217 Resin, synthetic rubber and fibers, and filaments manufacturing 218 Agricultural chemical manufacturing 219 Pharmaceutical and medicine manufacturing 227 Paint, coating, and adhesives manufacturing 228 Soap, cleaning compound, and cosmetic manufacturing 229 Industrial and miscellaneous chemicals 237 Plastics product manufacturing 238 Tire manufacturing 239 Rubber products, except tires, manufacturing 247 Pottery, ceramics, and related products manufacturing 249 Glass and glass product manufacturing 257 Cement, concrete, lime, and gypsum product manufacturing 259 Miscellaneous nonmetallic mineral product manufacturing 267 Iron and steel mills and steel product manufacturing 268 Aluminum production and processing 269 Nonferrous metal, except aluminum, production and processing 277 Foundries 278 Metal forgings and stampings 279 Cutlery and hand tool manufacturing 287 Structural metals and tank and shipping container manufacturing 297 Ordinance 298 Miscellaneous fabricated metal products manufacturing 299 Not specified metal industries 308 Construction mining and oil field machinery manufacturing 309 Commercial and service industry machinery manufacturing 317 Metalworking machinery manufacturing 318 Engines, turbines, and power transmission equipment manufacturing 319 Machinery manufacturing, n.e.c. 336 Computer and peripheral equipment manufacturing 337 Communications, audio, and video equipment manufacturing 338 Navigational, measuring, electromedical, and control instruments manufacturing 347 Household appliance manufacturing 349 Electrical lighting, equipment, and supplies manufacturing, n.e.c. 357 Motor vehicles and motor vehicle equipment manufacturing 358 Aircraft and parts manufacturing 367 Railroad rolling stock manufacturing 368 Ship and boat building 387 Miscellaneous wood products 389 Furniture and related products manufacturing 396 Medical equipment and supplies manufacturing 398 Miscellaneous manufacturing, n.e.c. 399 Not specified manufacturing industries 407 Motor vehicles, parts and supplies 409 Lumber and other construction materials 419 Electrical goods 426 Hardware, plumbing and heating equipment, and supplies 427 Machinery, equipment, and supplies 428 Recyclable material 437 Paper and paper product wholesalers 438 Drugs, sundries, and chemical and allied product wholesalers 439 Apparel, fabrics, and notions wholesalers 447 Groceries and related product wholesalers 448 Farm product raw material wholesalers 449 Petroleum and petroleum product wholesalers 456 Alcoholic beverage wholesalers 457 Farm supplies wholesalers 458 Miscellaneous nondurable goods wholesalers 459 Not specified wholesale trade 467 Automobile dealers 468 Other motor vehicle dealers 469 Auto parts, accessories, and tire stores 477 Furniture and home furnishings stores 479 Radio, TV, and computer stores 487 Building material and supplies dealers 488 Hardware stores 497 Grocery stores 498 Specialty food stores 499 Beer, wine, and liquor stores 507 Pharmacies and drug stores 509 Gasoline stations 517 Clothing and accessories, except shoe stores 518 Shoe stores 519 Jewelry, luggage, and leather goods stores 538 Department stores 539 Miscellaneous general merchandise stores 547 Retail florists 558 Miscellaneous retail stores 568 Fuel dealers 569 Other direct selling establishments 579 Not specified retail trade 607 Air transportation 609 Water transportation 617 Truck transportation 618 Bus service and urban transit 619 Taxi and limousine service 637 Postal Service 639 Warehousing and storage 647 Newspaper publishers 657 Motion pictures and video industries 667 Radio and television broadcasting and cable 668 Wired telecommunications carriers 669 Other telecommunication services 677 Libraries and archives 687 Banking and related activities 689 Non-depository credit and related activities 697 Securities, commodities, funds, trusts, and other financial investments 699 Insurance carriers and related activities 707 Real estate 708 Automotive equipment rental and leasing 727 Legal services 728 Accounting, tax preparation, bookkeeping and payroll services 729 Architectural, engineering, and related services 738 Computer systems design and related services 739 Management, scientific and technical consulting services 746 Scientific research and development services 747 Advertising and related services 758 Employment services 759 Business support services 767 Travel arrangements and reservation services 768 Investigation and security services 769 Services to buildings and dwellings 777 Landscaping services 779 Waste management and remediation services 786 Elementary and secondary schools 787 Colleges and universities, including junior colleges 789 Other schools, instruction, and educational services 797 Offices of physicians 798 Offices of dentists 807 Offices of optometrists 818 Other health care services 819 Hospitals 827 Nursing care facilities 829 Residential care facilities, without nursing 837 Individual and family services 857 Museums, art galleries, historical sites, and similar institutions 858 Bowling centers 859 Other amusement, gambling, and recreation industries 866 Traveler accommodation 867 Recreational vehicle parks and camps, and rooming and boarding houses 868 Restaurants and other food services 877 Automotive repair and maintenance 879 Electronic and precision equipment repair and maintenance 888 Personal and household goods repair and maintenance 889 Footwear and leather goods repair 897 Barber shops 898 Beauty salons 907 Dry cleaning and laundry services 908 Funeral homes, cemeteries and crematories 916 Religious organizations 917 Civic, social, advocacy organizations, and grantmaking and giving services 929 Private households 947 Justice, public order, and safety activities 959 National security and international affairs 992 Unemployed, with no work experience since 1995 998 Unknown 999 NIU (not in universe) Work: Industry Variables -- PERSON Industry, 1990 basis <svar v="PR70A429 PR70A430 PR70A433 PR70A434 PR70A435 PR70A495 PR70A496 PR70A499 PR70A500 PR70A501"><span class="em">30-32. Show in questions 30-32 this person's job or business during the last week. If he had no job or business last week, give information for most recent job or business since 1960.</span><br /></svar></p> <p><svar v="PR70A433 PR70A434 PR70A496 PR70A500" a="all"><span class="em">30a. For whom did he work?</span><br /><div class="i1">_____ (Name of company, business, organization, or other employer)<br />[] Now serving in the Armed Forces (Skip to 33)</div><br /><span class="em">b. What kind of business or industry was this?</span><br /><div class="i1">_____<br />(For example: Junior high school, retail supermarket, TV and radio service, dairy farm, sugar mill, etc.)</div><br /><span class="em">c. Is this business or industry mainly -</span><br /><div class="i1">[] Manufacturing<br />[] Wholesale trade<br />[] Retail trade<br />[] Other (agriculture, construction, service, government, etc.)</div><br /></svar> Puerto Rico 1970: Persons age 14+ who had worked within the previous ten years, and persons seeking work who last worked ten years ago [discrepancies: not verifiable] This variable identifies the industry of the person, 1990 basis. 010 Agricultural production, crops 011 Agricultural production, livestock 012 Veterinary services 020 Landscape and horticultural services 030 Agricultural services, n.e.c. 031 Forestry 032 Fishing, hunting, and trapping 040 Metal mining 041 Coal mining 042 Oil and gas extraction 050 Nonmetallic mining and quarrying, except fuels 060 All construction 100 Meat products 101 Dairy products 102 Canned, frozen, and preserved fruits and vegetables 110 Grain mill products 111 Bakery products 112 Sugar and confectionery products 120 Beverage industries 121 Misc. food preparations and kindred products 122 Food industries, n.s. 130 Tobacco manufactures 132 Knitting mills 140 Dyeing and finishing textiles, except wool and knit goods 141 Carpets and rugs 142 Yarn, thread, and fabric mills 150 Miscellaneous textile mill products 151 Apparel and accessories, except knit 152 Miscellaneous fabricated textile products 160 Pulp, paper, and paperboard mills 161 Miscellaneous paper and pulp products 162 Paperboard containers and boxes 171 Newspaper publishing and printing 172 Printing, publishing, and allied industries, except newspapers 180 Plastics, synthetics, and resins 181 Drugs 182 Soaps and cosmetics 190 Paints, varnishes, and related products 191 Agricultural chemicals 192 Industrial and miscellaneous chemicals 200 Petroleum refining 201 Miscellaneous petroleum and coal products 210 Tires and inner tubes 211 Other rubber products, and plastics footwear and belting 212 Miscellaneous plastics products 220 Leather tanning and finishing 221 Footwear, except rubber and plastic 222 Leather products, except footwear 230 Logging 231 Sawmills, planing mills, and millwork 232 Wood buildings and mobile homes 241 Miscellaneous wood products 242 Furniture and fixtures 250 Glass and glass products 251 Cement, concrete, gypsum, and plaster products 252 Structural clay products 261 Pottery and related products 262 Misc. nonmetallic mineral and stone products 270 Blast furnaces, steelworks, rolling and finishing mills 271 Iron and steel foundries 272 Primary aluminum industries 280 Other primary metal industries 281 Cutlery, handtools, and general hardware 282 Fabricated structural metal products 290 Screw machine products 291 Metal forgings and stampings 292 Ordnance 300 Miscellaneous fabricated metal products 301 Metal industries, n.s. 310 Engines and turbines 311 Farm machinery and equipment 312 Construction and material handling machines 320 Metalworking machinery 321 Office and accounting machines 322 Computers and related equipment 331 Machinery, except electrical, n.e.c. 332 Machinery, n.s. 340 Household appliances 341 Radio, TV, and communication equipment 342 Electrical machinery, equipment, and supplies, n.e.c. 350 Electrical machinery, equipment, and supplies, n.s. 351 Motor vehicles and motor vehicle equipment 352 Aircraft and parts 360 Ship and boat building and repairing 361 Railroad locomotives and equipment 362 Guided missiles, space vehicles, and parts 370 Cycles and miscellaneous transportation equipment 371 Scientific and controlling instruments 372 Medical, dental, and optical instruments and supplies 380 Photographic equipment and supplies 381 Watches, clocks, and clockwork operated devices 390 Toys, amusement, and sporting goods 391 Miscellaneous manufacturing industries 392 Manufacturing industries, n.s. 400 Railroads 401 Bus service and urban transit 402 Taxicab service 410 Trucking service 411 Warehousing and storage 412 U.S. Postal Service 420 Water transportation 421 Air transportation 422 Pipe lines, except natural gas 432 Services incidental to transportation 440 Radio and television broadcasting and cable 441 Telephone communications 442 Telegraph and miscellaneous communications services 450 Electric light and power 451 Gas and steam supply systems 452 Electric and gas, and other combinations 470 Water supply and irrigation 471 Sanitary services 472 Utilities, n.s. 500 Motor vehicles and equipment 501 Furniture and home furnishings 502 Lumber and construction materials 510 Professional and commercial equipment and supplies 511 Metals and minerals, except petroleum 512 Electrical goods 521 Hardware, plumbing and heating supplies 530 Machinery, equipment, and supplies 531 Scrap and waste materials 532 Miscellaneous wholesale, durable goods 540 Paper and paper products 541 Drugs, chemicals, and allied products 542 Apparel, fabrics, and notions 550 Groceries and related products 551 Farm-product raw materials 552 Petroleum products 560 Alcoholic beverages 561 Farm supplies 562 Miscellaneous wholesale, nondurable goods 571 Wholesale trade, n.s. 580 Lumber and building material retailing 581 Hardware stores 582 Retail nurseries and garden stores 590 Mobile home dealers 591 Department stores 592 Variety stores 600 Miscellaneous general merchandise stores 601 Grocery stores 602 Dairy products stores 610 Retail bakeries 611 Food stores, n.e.c. 612 Motor vehicle dealers 620 Auto and home supply stores 621 Gasoline service stations 622 Miscellaneous vehicle dealers 623 Apparel and accessory stores, except shoe 630 Shoe stores 631 Furniture and home furnishings stores 632 Household appliance stores 633 Radio, TV, and computer stores 640 Music stores 641 Eating and drinking places 642 Drug stores 650 Liquor stores 651 Sporting goods, bicycles, and hobby stores 652 Book and stationery stores 660 Jewelry stores 661 Gift, novelty, and souvenir shops 662 Sewing, needlework, and piece goods stores 663 Catalog and mail order houses 670 Vending machine operators 671 Direct selling establishments 672 Fuel dealers 681 Retail florists 682 Miscellaneous retail stores 691 Retail trade, n.s. 700 Banking 701 Savings institutions, including credit unions 702 Credit agencies, n.e.c. 710 Security, commodity brokerage, and investment companies 711 Insurance 712 Real estate, including real estate-insurance offices 721 Advertising 722 Services to dwellings and other buildings 731 Personnel supply services 732 Computer and data processing services 740 Detective and protective services 741 Business services, n.e.c. 742 Automotive rental and leasing, without drivers 750 Automobile parking and carwashes 751 Automotive repair and related services 752 Electrical repair shops 760 Miscellaneous repair services 761 Private households 762 Hotels and motels 770 Lodging places, except hotels and motels 771 Laundry, cleaning, and garment services 772 Beauty shops 780 Barber shops 781 Funeral service and crematories 782 Shoe repair shops 790 Dressmaking shops 791 Miscellaneous personal services 800 Theaters and motion pictures 801 Video tape rental 802 Bowling centers 810 Miscellaneous entertainment and recreation services 812 Offices and clinics of physicians 820 Offices and clinics of dentists 821 Offices and clinics of chiropractors 822 Offices and clinics of optometrists 830 Offices and clinics of health practitioners, n.e.c. 831 Hospitals 832 Nursing and personal care facilities 840 Health services, n.e.c. 841 Legal services 842 Elementary and secondary schools 850 Colleges and universities 851 Vocational schools 852 Libraries 860 Educational services, n.e.c. 861 Job training and vocational rehabilitation services 862 Child day care services 863 Family child care homes 870 Residential care facilities, without nursing 871 Social services, n.e.c. 872 Museums, art galleries, and zoos 873 Labor unions 880 Religious organizations 881 Membership organizations, n.e.c. 882 Engineering, architectural, and surveying services 890 Accounting, auditing, and bookkeeping services 891 Research, development, and testing services 892 Management and public relations services 893 Miscellaneous professional and related services 900 Executive and legislative offices 901 General government, n.e.c. 910 Justice, public order, and safety 921 Public finance, taxation, and monetary policy 922 Administration of human resources programs 930 Administration of environmental quality and housing programs 931 Administration of economic programs 932 National security and international affairs 940 Army 941 Air Force 942 Navy 950 Marines 951 Coast Guard 952 Armed Forces, branch not specified 960 Military Reserves or National Guard 992 Last worked 1984 or earlier 998 Unknown 999 NIU (not in universe) Work: Industry Variables -- PERSON Occupation, 1990 basis <svar v="PR70A429 PR70A430 PR70A433 PR70A434 PR70A435 PR70A495 PR70A496 PR70A499 PR70A500 PR70A501"><span class="em">30-32. Show in questions 30-32 this person's job or business during the last week. If he had no job or business last week, give information for most recent job or business since 1960.</span><br /></svar></p> <p><svar v="PR70A495 PR70A429 PR70A430 PR70A499 PR70A501" a="all"><span class="em">31a. What kind of work was he doing? </span><br /><div class="i1">_____</div><br />(For example: TV repairman, seamstress, civil engineer, farm operator, junior high school English teacher, etc.)<br /></svar></p> <p><svar v="PR70A495 PR70A429 PR70A430 PR70A499 PR70A501"><span class="em">b. What were his most important activities or duties? </span><br /><div class="i1">_____<br />(For example: Types, keeps account books, filing, sells cars, janitor, bricklayer, etc.)</div><br /></svar> Puerto Rico 1970: Persons age 14+ who had worked within the previous ten years, and persons seeking work who last worked ten years ago [discrepancies: not verifiable] This variable identifies the occupation of the person, 1990 basis. 003 Legislators 004 Chief executives and public administrators 007 Financial managers 008 Human resources and labor relations managers 013 Managers and specialists in marketing, advertising, and public relations 014 Managers in education and related fields 015 Managers of medicine and health occupations 016 Postmasters and mail superintendents 017 Managers of food-serving and lodging establishments 018 Managers of properties and real estate 019 Funeral directors 021 Managers of service organizations, n.e.c. 022 Managers and administrators, n.e.c. 023 Accountants and auditors 024 Insurance underwriters 025 Other financial specialists 026 Management analysts 027 Personnel, HR, training, and labor relations specialists 028 Purchasing agents and buyers, of farm products 029 Buyers, wholesale and retail trade 033 Purchasing managers, agents and buyers, n.e.c. 034 Business and promotion agents 035 Construction inspectors 036 Inspectors and compliance officers, outside construction 037 Management support occupations 043 Architects 044 Aerospace engineer 045 Metallurgical and materials engineers, variously phrased 047 Petroleum, mining, and geological engineers 048 Chemical engineers 053 Civil engineers 055 Electrical engineer 056 Industrial engineers 057 Mechanical engineers 059 Not-elsewhere-classified engineers 064 Computer systems analysts and computer scientists 065 Operations and systems researchers and analysts 066 Actuaries 067 Statisticians 068 Mathematicians and mathematical scientists 069 Physicists and astronomers 073 Chemists 074 Atmospheric and space scientists 075 Geologists 076 Physical scientists, n.e.c. 077 Agricultural and food scientists 078 Biological scientists 079 Foresters and conservation scientists 083 Medical scientists 084 Physicians 085 Dentists 086 Veterinarians 087 Optometrists 088 Podiatrists 089 Other health and therapy 095 Registered nurses 096 Pharmacists 097 Dietitians and nutritionists 098 Respiratory therapists 099 Occupational therapists 103 Physical therapists 104 Speech therapists 105 Therapists, n.e.c. 106 Physicians' assistants 113 Earth, environmental, and marine science instructors 114 Biological science instructors 115 Chemistry instructors 116 Physics instructors 118 Psychology instructors 119 Economics instructors 123 History instructors 125 Sociology instructors 127 Engineering instructors 128 Math instructors 139 Education instructors 145 Law instructors 147 Theology instructors 149 Home economics instructors 150 Humanities profs/instructors, college, nec 154 Subject instructors (HS/college) 155 Kindergarten and earlier school teachers 156 Primary school teachers 157 Secondary school teachers 158 Special education teachers 159 Teachers , n.e.c. 163 Vocational and educational counselors 164 Librarians 165 Archivists and curators 166 Economists, market researchers, and survey researchers 167 Psychologists 168 Sociologists 169 Social scientists, n.e.c. 173 Urban and regional planners 174 Social workers 175 Recreation workers 176 Clergy and religious workers 178 Lawyers 179 Judges 183 Writers and authors 184 Technical writers 185 Designers 186 Musician or composer 187 Actors, directors, producers 188 Art makers: painters, sculptors, craft-artists, and print-makers 189 Photographers 193 Dancers 194 Art/entertainment performers and related 195 Editors and reporters 198 Announcers 199 Athletes, sports instructors, and officials 200 Professionals, n.e.c. 203 Clinical laboratory technologies and technicians 204 Dental hygienists 205 Health record tech specialists 206 Radiologic tech specialists 207 Licensed practical nurses 208 Health technologists and technicians, n.e.c. 213 Electrical and electronic (engineering) technicians 214 Engineering technicians, n.e.c. 215 Mechanical engineering technicians 217 Drafters 218 Surveyors, cartographers, mapping scientists and technicians 223 Biological technicians 224 Chemical technicians 225 Other science technicians 226 Airplane pilots and navigators 227 Air traffic controllers 228 Broadcast equipment operators 229 Computer software developers 233 Programmers of numerically controlled machine tools 234 Legal assistants, paralegals, legal support, etc 235 Technicians, n.e.c. 243 Supervisors and proprietors of sales jobs 253 Insurance sales occupations 254 Real estate sales occupations 255 Financial services sales occupations 256 Advertising and related sales jobs 258 Sales engineers 274 Salespersons, n.e.c. 275 Retail sales clerks 276 Cashiers 277 Door-to-door sales, street sales, and news vendors 283 Sales demonstrators / promoters / models 290 Sales workers--allocated 303 Office supervisors 308 Computer and peripheral equipment operators 313 Secretaries 314 Stenographers 315 Typists 316 Interviewers, enumerators, and surveyors 317 Hotel clerks 318 Transportation ticket and reservation agents 319 Receptionists 323 Information clerks, nec 326 Correspondence and order clerks 328 Human resources clerks, except payroll and timekeeping 329 Library assistants 335 File clerks 336 Records clerks 337 Bookkeepers and accounting and auditing clerks 338 Payroll and timekeeping clerks 343 Cost and rate clerks (financial records processing) 344 Billing clerks and related financial records processing 345 Duplication machine operators / office machine operators 346 Mail and paper handlers 347 Office machine operators, n.e.c. 348 Telephone operators 349 Other telecom operators 354 Postal clerks, excluding mail carriers 355 Mail carriers for postal service 356 Mail clerks, outside of post office 357 Messengers 359 Dispatchers 361 Inspectors, n.e.c. 364 Shipping and receiving clerks 365 Stock and inventory clerks 366 Meter readers 368 Weighers, measurers, and checkers 373 Material recording, scheduling, production, planning, and expediting clerks 375 Insurance adjusters, examiners, and investigators 376 Customer service reps, investigators and adjusters, except insurance 377 Eligibility clerks for government programs; social welfare 378 Bill and account collectors 379 General office clerks 383 Bank tellers 384 Proofreaders 385 Data entry keyers 386 Statistical clerks 387 Teacher's aides 389 Administrative support jobs, n.e.c. 390 Professional, technical, and kindred workers--allocated (1990 internal census) 391 Clerical and kindred workers--allocated 405 Housekeepers, maids, butlers, stewards, and lodging quarters cleaners 407 Private household cleaners and servants 408 Private household workers--allocated 415 Supervisors of guards 417 Fire fighting, prevention, and inspection 418 Police, detectives, and private investigators 423 Other law enforcement: sheriffs, bailiffs, correctional institution officers 425 Crossing guards and bridge tenders 426 Guards, watchmen, doorkeepers 427 Protective services, n.e.c. 434 Bartenders 435 Waiter/waitress 436 Cooks, variously defined 438 Food counter and fountain workers 439 Kitchen workers 443 Waiter's assistant 444 Misc food prep workers 445 Dental assistants 446 Health aides, except nursing 447 Nursing aides, orderlies, and attendants 448 Supervisors of cleaning and building service 453 Janitors 454 Elevator operators 455 Pest control occupations 456 Supervisors of personal service jobs, n.e.c. 457 Barbers 458 Hairdressers and cosmetologists 459 Recreation facility attendants 461 Guides 462 Ushers 463 Public transportation attendants and inspectors 464 Baggage porters 465 Welfare service aides 468 Child care workers 469 Personal service occupations, nec 473 Farmers (owners and tenants) 474 Horticultural specialty farmers 475 Farm managers, except for horticultural farms 476 Managers of horticultural specialty farms 479 Farm workers 480 Farm laborers and farm foreman--allocated (1990 internal census) 483 Marine life cultivation workers 484 Nursery farming workers 485 Supervisors of agricultural occupations 486 Gardeners and groundskeepers 487 Animal caretakers except on farms 488 Graders and sorters of agricultural products 489 Inspectors of agricultural products 496 Timber, logging, and forestry workers 498 Fishers, hunters, and kindred 503 Supervisors of mechanics and repairers 505 Automobile mechanics 507 Bus, truck, and stationary engine mechanics 508 Aircraft mechanics 509 Small engine repairers 514 Auto body repairers 516 Heavy equipment and farm equipment mechanics 518 Industrial machinery repairers 519 Machinery maintenance occupations 523 Repairers of industrial electrical equipment 525 Repairers of data processing equipment 526 Repairers of household appliances and power tools 527 Telecom and line installers and repairers 533 Repairers of electrical equipment, n.e.c. 534 Heating, air conditioning, and refrigeration mechanics 535 Precision makers, repairers, and smiths 536 Locksmiths and safe repairers 538 Office machine repairers and mechanics 539 Repairers of mechanical controls and valves 543 Elevator installers and repairers 544 Millwrights 549 Mechanics and repairers, n.e.c. 558 Supervisors of construction work 563 Masons, tilers, and carpet installers 567 Carpenters 573 Drywall installers 575 Electricians 577 Electric power installers and repairers 579 Painters, construction and maintenance 583 Paperhangers 584 Plasterers 585 Plumbers, pipe fitters, and steamfitters 588 Concrete and cement workers 589 Glaziers 593 Insulation workers 594 Paving, surfacing, and tamping equipment operators 595 Roofers and slaters 596 Sheet metal duct installers 597 Structural metal workers 598 Drillers of earth 599 Construction trades, n.e.c. 614 Drillers of oil wells 615 Explosives workers 616 Miners 617 Other mining occupations 628 Production supervisors or foremen 634 Tool and die makers and die setters 637 Machinists 643 Boilermakers 644 Precision grinders and filers 645 Patternmakers and model makers 646 Lay-out workers 649 Engravers 653 Tinsmiths, coppersmiths, and sheet metal workers 657 Cabinetmakers and bench carpenters 658 Furniture and wood finishers 659 Other precision woodworkers 666 Dressmakers and seamstresses 667 Tailors 668 Upholsterers 669 Shoe repairers 674 Other precision apparel and fabric workers 675 Hand molders and shapers, except jewelers 677 Optical goods workers 678 Dental laboratory and medical appliance technicians 679 Bookbinders 684 Other precision and craft workers 686 Butchers and meat cutters 687 Bakers 688 Batch food makers 693 Adjusters and calibrators 694 Water and sewage treatment plant operators 695 Power plant operators 696 Plant and system operators, stationary engineers 699 Other plant and system operators 703 Lathe, milling, and turning machine operatives 706 Punching and stamping press operatives 707 Rollers, roll hands, and finishers of metal 708 Drilling and boring machine operators 709 Grinding, abrading, buffing, and polishing workers 713 Forge and hammer operators 717 Fabricating machine operators, n.e.c. 719 Molders, and casting machine operators 723 Metal platers 724 Heat treating equipment operators 726 Wood lathe, routing, and planing machine operators 727 Sawing machine operators and sawyers 728 Shaping and joining machine operator (woodworking) 729 Nail and tacking machine operators (woodworking) 733 Other woodworking machine operators 734 Printing machine operators, n.e.c. 735 Photoengravers and lithographers 736 Typesetters and compositors 738 Winding and twisting textile/apparel operatives 739 Knitters, loopers, and toppers textile operatives 743 Textile cutting machine operators 744 Textile sewing machine operators 745 Shoemaking machine operators 747 Pressing machine operators (clothing) 748 Laundry workers 749 Misc textile machine operators 753 Cementing and gluing machine operators 754 Packers, fillers, and wrappers 755 Extruding and forming machine operators 756 Mixing and blending machine operatives 757 Separating, filtering, and clarifying machine operators 759 Painting machine operators 763 Roasting and baking machine operators (food) 764 Washing, cleaning, and pickling machine operators 765 Paper folding machine operators 766 Furnace, kiln, and oven operators, apart from food 768 Crushing and grinding machine operators 769 Slicing and cutting machine operators 773 Motion picture projectionists 774 Photographic process workers 779 Machine operators, n.e.c. 783 Welders and metal cutters 784 Solderers 785 Assemblers of electrical equipment 789 Hand painting, coating, and decorating occupations 796 Production checkers and inspectors 799 Graders and sorters in manufacturing 803 Supervisors of motor vehicle transportation 804 Truck, delivery, and tractor drivers 808 Bus drivers 809 Taxi cab drivers and chauffeurs 813 Parking lot attendants 815 Transport equipment operatives--allocated 823 Railroad conductors and yardmasters 824 Locomotive operators (engineers and firemen) 825 Railroad brake, coupler, and switch operators 829 Ship crews and marine engineers 834 Water transport infrastructure tenders and crossing guards 844 Operating engineers of construction equipment 848 Crane, derrick, winch, and hoist operators 853 Excavating and loading machine operators 859 Misc material moving occupations 865 Helpers, constructions 866 Helpers, surveyors 869 Construction laborers 874 Production helpers 875 Garbage and recyclable material collectors 876 Materials movers: stevedores and longshore workers 877 Stock handlers 878 Machine feeders and offbearers 883 Freight, stock, and materials handlers 885 Garage and service station related occupations 887 Vehicle washers and equipment cleaners 888 Packers and packagers by hand 889 Laborers outside construction 890 Laborers, except farm--allocated 905 Military 991 Unemployed 999 NIU (not in universe) Work: Occupation Variables -- PERSON Consensual marriage <svar v="PR70A420 PR70A516" a="all"><span class="em">7. Marital status<br /></span> <div class="i1">Is this person now:</div><br /><div class="i2">[] Married<br />[] Consensually married<br />[] Widowed<br />[] Divorced<br />[] Separated<br />[] Never married</div><br /></svar> Puerto Rico 1970: All persons This variable identifies whether the married person is consensually married or not. 1 Not consensually married, or not reported 2 Consensually married Demographic Variables -- PERSON Nativity and parentage <svar v="PR70A424 PR70A517 PR70A518" a="all"><span class="em">13. Where was his father born? </span><br /><div class="i1">[] Puerto Rico<br />[] Other (State, foreign country, etc.) ____</div><br /></svar></p> <p><svar v="PR70A423 PR70A517 PR70A518" a="PR70A423"><span class="em">14. Where was his mother born? </span><br /><div class="i1">[] Puerto Rico<br />[] Other (State, foreign country, etc.) ____</div><br /></svar> Puerto Rico 1970: All persons This variable identifies the nativity and parentage of the person. 1 Both parents born in U.S. state 2 Mother born in U.S. possession 3 Mother foreign born 4 Father born in U.S. possession 5 Father foreign born 6 Both parents born in U.S. possession 7 Father born in U.S. possession; mother foreign born 8 Mother born in U.S. possession; father foreign born 9 Both parents foreign born Nativity and Birthplace Variables -- PERSON Puerto Rican parentage indicator <svar v="PR70A424 PR70A517 PR70A518" a="all"><span class="em">13. Where was his father born? </span><br /><div class="i1">[] Puerto Rico<br />[] Other (State, foreign country, etc.) ____</div><br /></svar></p> <p><svar v="PR70A423 PR70A517 PR70A518" a="PR70A423"><span class="em">14. Where was his mother born? </span><br /><div class="i1">[] Puerto Rico<br />[] Other (State, foreign country, etc.) ____</div><br /></svar> Puerto Rico 1970: All persons This variable identifies the person’s Puerto Rican parentage indicator. 1 Neither parent born in Puerto Rico or parents' birthplace not reported 2 One or both parents born in Puerto Rico Nativity and Birthplace Variables -- PERSON Data quality flag for voctrain Puerto Rico 1970: All persons This variable identifies the data quality flag for voctrain. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Data quality flag for voctrtyp Puerto Rico 1970: All persons This variable identifies the data quality flag for voctrtyp. 0 Not allocated Person Imputation Flags Variables -- PERSON Main activity in U.S. during stay <svar v="PR70A521" a="all"><span class="em">18f. When he lived in the United States, was he - </span><br /><div class="i1">(Mark the appropriate circles)<br />[] Working at a job or business (full or part-time)<br />[] In the Armed Forces<br />[] Attending school or college<br />[] Doing something else (housework, retired, etc.)</div><br /></svar> Puerto Rico 1970: Persons age 5+ who lived in the U.S for 6 months or more within the last 5 years [discrepancies: none] This variable identifies the person’s main activity during their stay in the United States. 01 In U.S. armed forces 02 Working at job or business (part or full time) 03 Attending school or college 04 Activity other than U.S. armed forces, working at job/business, or attending school/college 05 No activities reported 06 In U.S. armed forces and working at job/business 08 In U.S. armed forces and working at job/business and attending school/college 10 Working at job/business and attending school 12 Working at job/business and other activity 13 Working at job/business and attending school and other activity 99 NIU (not in universe) Other Person Variables -- PERSON Length of last stay in U.S. <svar v="PR70A522" a="all"><span class="em">18e. How long did he live in the United States (the last time)?</span><br /><div class="i1">[] 6 months to one year<br />[] One or two years<br />[] Three or four years<br />[] Five years or more</div><br /></svar> Puerto Rico 1970: Persons age 5+ who lived in the U.S for 6 months or more within the last 5 years [discrepancies: none] This variable identifies the length of the person’s last stay in the United States. 1 6 months to 1 year 2 1 to 2 years 3 3 to 4 years 4 5 years or more 5 Never or less than 6 months 9 NIU (not in universe) Migration: Global Variables -- PERSON Residence in the United States for 6 months or more <svar v="PR70A523" a="all"><span class="em">18c. During the last 5 years, did he live in the United States at any time for 6 months or more?</span><br /><div class="i1">[] Yes<br />[] No (Skip to 19)</div><br /></svar> Puerto Rico 1970: Persons age 5+ [discrepancies: none] This variable identifies if the person had lived in the United States for the duration of six months or more during the last 5 years. 1 Yes, within the last 5 years 2 No, not within the last 5 years 9 NIU (not in universe) Migration: Global Variables -- PERSON Year of return to Puerto Rico from U.S. <svar v="PR70A524" a="all"><span class="em">18d. What year did he return to Puerto Rico last time?</span><br /><div class="i1">[] 1965<br />[] 1966<br />[] 1967<br />[] 1968<br />[] 1969 or 1970</div><br /></svar> Puerto Rico 1970: Persons age 5+ who lived in the U.S for 6 months or more within the last 5 years [discrepancies: none] This variable identifies the year the person returned to Puerto Rico from the United States. 1 This year or previous year 3 2 years ago 4 3 years ago 5 4 years ago 6 5 years ago 9 NIU (not in universe) Migration: Global Variables -- PERSON Completion of vocational training <svar v="PR70A525 PR70A529" a="all"><span class="em">25.a. Has this person ever completed a vocational training program?<br /></span><br /><div class="i1">For example, in high school; as apprentice; in school of business, nursing or trades; technical institute; or Armed Forces schools.</div><br /><div class="i2">[] Yes<br />[] No - Skip to 26</div><br /></svar> Puerto Rico 1970: Persons age 14+ [discrepancies: none] This variable identifies if the person completed vocational training. 1 Yes 2 No 9 NIU (not in universe) Education Variables -- PERSON Main field of vocational training <svar v="PR70A526" a="all"><div class="i1"><span class="em">b. What was his main field of vocational training? </span></div><br /><div class="i2">Fill one circle.<br />[] Business, office work<br />[] Nursing, other health fields<br />[] Trades and crafts (mechanic, electrician, beautician, etc.)<br />[] Engineering or science technician; draftsman<br />[] Agriculture or home economics<br />[] Other field - Specify</div><br /><div class="i3">_____</div><br /></svar> Puerto Rico 1970: Persons age 14+ who completed some type of vocational training [discrepancies: none] This variable identifies the person’s main field of vocational training. 1 Business, office work 2 Nursing, other health fields 3 Trades and crafts 4 Engineering or science technician, draftsman 5 Agriculture or home economics 6 Other field 7 Unknown 9 NIU (not in universe) Education Variables -- PERSON Literacy <svar v="PR70A527" a="all"><span class="em">15. Does this person know how to read and write? (in any language)</span><br /><div class="i1">[] Yes<br />[] No</div><br /></svar> Puerto Rico 1970: Persons age 10+ [discrepancies: none] This variable identifies if the person could read and/or write in any language. 1 No, illiterate (cannot read or write) 2 Yes, literate in any language (reads and writes) 9 NIU (not in universe) Education Variables -- PERSON Flag for prlit Puerto Rico 1970: All persons This variable identifies the flag for prlit. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Vocational training <svar v="PR70A525 PR70A529" a="all"><span class="em">25.a. Has this person ever completed a vocational training program?<br /></span><br /><div class="i1">For example, in high school; as apprentice; in school of business, nursing or trades; technical institute; or Armed Forces schools.</div><br /><div class="i2">[] Yes<br />[] No - Skip to 26</div><br /></svar> Puerto Rico 1970: Persons age 14+ [discrepancies: none] This variable identifies if the person completed vocational training and if so the main field of the vocational training. 1 No vocational training 2 Business, office work 3 Nursing, health fields 4 Trades and crafts 5 Engineering, drafting, science technician 6 Agriculture, home economics 7 Other vocational field 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON