2010 Puerto Rico Community Survey DDI_PRI_2010_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. 2010 Puerto Rico Community Survey - IPUMS Subset PHC pr2010a (IPUMS Harmonized Subset) PRI_2010_PHC_v01_M_v7.6_A_IPUMS U.S. Census Bureau IPUMS (c) Copyright 2010, 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 Ethnicity and Language Variables -- PERSON Geography: Global Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Fertility and Mortality Variables -- PERSON Nativity and Birthplace Variables -- PERSON Geography: O-Z Variables -- HOUSEHOLD Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Disability Variables -- PERSON Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Utilities Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Income Variables -- PERSON Migration: Global Variables -- PERSON Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Demographic Variables -- PERSON Technical Household Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Work Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Education Variables -- PERSON Technical Person Variables -- PERSON Geography: O-Z Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Household Imputation Flags Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Household Imputation Flags Variables -- HOUSEHOLD Technical Household Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Technical Person Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Demographic Variables -- PERSON Ethnicity and Language Variables -- PERSON Nativity and Birthplace Variables -- PERSON Migration: Global Variables -- PERSON Education Variables -- PERSON Work Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON Income Variables -- PERSON Disability Variables -- PERSON Other Person Variables -- PERSON Work Variables -- PERSON Demographic Variables -- PERSON Person Imputation Flags Variables -- PERSON Other Person Variables -- PERSON Fertility and Mortality Variables -- PERSON Ethnicity and Language Variables -- PERSON Work: Industry Variables -- PERSON Work: Occupation Variables -- PERSON Income Variables -- PERSON Disability Variables -- PERSON Migration: Global Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Disability Variables -- PERSON Demographic Variables -- PERSON Other Person Variables -- PERSON Person Imputation Flags Variables -- PERSON Nativity and Birthplace Variables -- PERSON Education Variables -- PERSON Income Variables -- PERSON Work Variables -- PERSON Migration: Global Variables -- PERSON Work: Industry Variables -- PERSON Technical Person Variables -- PERSON Work: Occupation Variables -- PERSON No specific day Puerto Rico Microdata areas with 100,000+ 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 excluding institutions and transient quarters. - Group quarters: A place where people live or stay, in a group living arrangement, that is owned or managed by an entitiy or organization providing housing and/or services for the residents. This is not a typical household-type living arrangement. These services many include custodial or medical care as well as other types of assistance, and residency is commonly restricted to those receiving these services. People living in group quarters are usually not related to each other. Residents of Puerto Rico Sample survey data [ssd] Additional notes on a sample that is part of this study: Puerto Rico 2010 MICRODATA SOURCE: U.S. Census Bureau SAMPLE SIZE (person records): 36032. SAMPLE DESIGN: 1-in-100 national random sample drawn by the U.S. Census Bureau Face-to-face [f2f] The 2010 Puerto Rico Community Survey employed a single long form questionnaire completed by one in 100 of households. de jure, CENSUS DAY: No specific day Weights computed by census agency should be used for most types of analysis. 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. 2010 Puerto Rico Community Survey 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 pr2010a, 2025 PRI2010_PHC-H-H.dat Household records 16,753 ascii Minnesota Population Center Version 7.5, IPUMS sample PRI2010_PHC-P-H.dat Person records 36032 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 1st subnational geographic level, world [consistent boundaries over time] GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV1 is a 6-digit numeric variable. GEOLEV1 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO1_BR. Geography: Global Variables -- HOUSEHOLD Population density of GEOLEV1 unit, in persons per square kilometer POPDENSGEO1 indicates the population density in persons per square kilometer of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO1 is an 8-digit numeric variable listing the population density in persons per square kilometer. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Area of GEOLEV1 unit in square kilometers AREAMOLLWGEO1 indicates the area in square kilometers of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO1 is a 10-digit numeric variable listing the area in square kilometers. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Puerto Rico, PUMAs 2000 - 2020 [Level 1; consistent boundaries, GIS] GEO1_PR identifies the 0010 Consistent PUMAs (2010 based Consistent Public Use Microdata Areas). Each PUMA is an aggregation of one or more 2010 U.S. and Puerto Rico Census PUMAs (Public Use Microdata Areas) that, in combination, align closely (within a 1% population mismatch tolerance) with a corresponding set of 2000 PUMAs. PUMAs are effectively the smallest geographic units that can be consistently identified from the geographic codes available in Puerto Rico Census PUMS from 2000 and later (until 2020 PUMAs take effect sometime after the 2020 Census). Note that the 2020 sample uses experimental weights to correct for the effects of the COVID-19 pandemic on the 2020 data collection. More details on construction of PUMAs can be found in IPUMS USA website. The following excel file lists GEO1_PR codes and their relationship to CPUMA0010. A separate variable, GEO1ALT_PR, identifies sets of 1980 county groups and 1990 and 2000 PUMAs that comprise comparable populations for samples from 1980 through 2011. GEO1ALT_PR corresponds with CONSPUMA variable in IPUMS USA . GEO1_PR is spatially harmonized to account for these boundary changes. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO1_PR 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. 630079 1079 630080 1080 630081 1081 630082 1082 630083 1083 630084 1084 630085 1085 Geography: O-Z Variables -- HOUSEHOLD Puerto Rico, PUMAs 1980 - 2010 [Level 1; consistent boundaries, GIS] GEO1ALT_PR identifies the most detailed areas that can be consistently delineated from the geographic codes available in United States and Puerto Rico PUMS (Public Use Microdata Series) files from 1980 to 2010. In 1980 PUMS files, the smallest identified units are âcounty groups,â and in later PUMS files, the smallest identified units are Public Use Microdata Areas (PUMAs). The definitions of PUMAs differ from county groups, and the 1990 PUMAs differ from the 2000 PUMAs (which are used for 2000, 2005 and 2010 samples). GEO1ALT_PR is spatially harmonized to account for these boundary changes. Each GEO1ALT_PR code corresponds to a distinct set of 1980 county groups and 1990 and 2000 PUMAs that collectively cover a consistent geographic area across time. More details on construction of PUMAs can be found in IPUMS USA website. A separate variable, GEO1_PR, identifies sets of 2000 and 2010 PUMAs that comprise comparable populations for samples from 2000 forward. GEO1_PR corresponds with CPUMA0010 variable in IPUMS USA . Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO1ALT_PR can be downloaded from the GIS Boundary files page in the IPUMS International web site. The GIS boundary files for GEO1ALT_PR are based on the U.S. Census Bureauâs 2000 TIGER/Line files. 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. 630101 G7201001 630104 G7201002, G7201003, G7201004 630110 G7201100 630180 G7201800 630200 G7200100, G7200200, G7200300, G7200400, G7200500, G72000700, G7201200, G7201300, G7201400, G7201500, G7201600, G7201700, G7201900, G7202000, G7202100, G7202200, G7202300, G7202400, G7202600, G7200600, G7200801, G7200802, G7200900 630250 G7202500 Geography: O-Z Variables -- HOUSEHOLD Puerto Rico, PUMAs 2010 [Level 1, GIS] GEO1_PR2010 identifies the household's Public Use Microdata Area (PUMA) in Puerto Rico in 2010. PUMAs are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_PR2010 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. 0100 PUMA G7200100 0200 PUMA G7200200 0300 PUMA G7200300 0400 PUMA G7200400 0500 PUMA G7200500 0600 PUMA G7200600 0700 PUMA G7200700 0801 PUMA G7200801 0802 PUMA G7200802 0900 PUMA G7200900 1001 PUMA G7201001 1002 PUMA G7201002 1003 PUMA G7201003 1004 PUMA G7201004 1100 PUMA G7201100 1200 PUMA G7201200 1300 PUMA G7201300 1400 PUMA G7201400 1500 PUMA G7201500 1600 PUMA G7201600 1700 PUMA G7201700 1800 PUMA G7201800 1900 PUMA G7201900 2000 PUMA G7202000 2100 PUMA G7202100 2200 PUMA G7202200 2300 PUMA G7202300 2400 PUMA G7202400 2500 PUMA G7202500 2600 PUMA G7202600 Geography: O-Z Variables -- HOUSEHOLD Puerto Rico, Cities CITYPR indicates the household's city of residence for households located in identifiable cities in Puerto Rico from 2000 to present. For more information of CITYPR, refer to the CITY variable in IPUMS-USA. 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 refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. 0000 NIU (not in identifiable city) 0640 Bayamon 1060 Carolina 2580 Guaynabo 5460 Ponce 6300 San Juan Geography: O-Z Variables -- HOUSEHOLD Puerto Rico, Super PUMA (Public use microdata area) SPUMAPR identifies the Super Public Use Microdata Area (Super-PUMA) in Puerto Rico in 2000, 2005, and 2010. SPUMAPR 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. 72100 72100 72200 72200 72300 72300 72400 72400 72500 72500 72600 72600 72700 72700 72800 72800 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 Puerto Rico, Metropolitan area, 2013 definitions METPR2013 identifies metro areas of residence using the 2013 definitions for metropolitan statistical areas (MSAs) from the U.S. Office of Management and Budget (OMB). The 2013 MSAs are the first to be based on 2010 standards and 2010 census data. METPR2013 is available only for 2000 and later samples. Another variable, METROPR, identifies metro areas for earlier samples. Both variables are available for samples from 2000 through 2010. For more information on METPR2013 and METROPR, refer to the IPUMS-USA website. 0000 Not in identifiable area 3242 Mayagüez 3866 Ponce 4190 San Germán 4198 San Juan-Carolina-Caguas 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 Fuel for heating FUELHEAT indicates the main fuel source for heating the household. 00 NIU (not in universe) 01 None 02 Electricity 03 Fuel oil, kerosene, other liquid fuels 04 Kerosene/paraffin 05 Diesel 06 Gas 07 Bottled gas, in tank, liquified 08 Solid fuel 09 Coal 10 Wood 11 Wood or coal 12 Solar 13 Animal dung 14 Charcoal 15 Biofuel 16 Other 17 Multiple sources 99 Unknown 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 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 Year structure was built BUILTYR indicates the year in which construction was completed on the building in which the household resides. 0000 NIU (not in universe) 1870 1870 or earlier 1871 1871 1872 1872 1873 1873 1874 1874 1875 1875 1876 1876 1877 1877 1878 1878 1879 1879 1880 1880 1881 1881 1882 1882 1883 1883 1884 1884 1885 1885 1886 1886 1887 1887 1888 1888 1889 1889 1890 1890 1891 1891 1892 1892 1893 1893 1894 1894 1895 1895 1896 1896 1897 1897 1898 1898 1899 1899 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 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 1988 1988 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 9998 Under construction 9999 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Age of structure AGESTRUCT1 reports the estimated age of the structure in which the household resided. 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 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 2010: All records This variable indicates the dwelling number. This is a 7-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Number of persons in household Puerto Rico 2010: All records This variable indicates the number of persons in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 Technical Household Variables -- HOUSEHOLD Dwelling created by splitting apart a large dwelling or household Puerto Rico 2010: All records This variable indicates whether the dwelling was created by splitting apart a large dwelling or household. 0 No problem 1 Yes: households within a large dwelling were split apart into separate dwellings 2 Yes: persons within a large household were split apart into separate dwellings Technical Household Variables -- HOUSEHOLD Census year Puerto Rico 2010: All households This variable indicates the census year. 2010 2010 Technical Household Variables -- HOUSEHOLD Data set number Puerto Rico 2010: All households This variable indicates the data set number. 2 2 Technical Household Variables -- HOUSEHOLD Number of person records following Puerto Rico 2010: All households This variable indicates the number of person records in the household. 00 Vacant household 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 Technical Household Variables -- HOUSEHOLD Subsample number Puerto Rico 2010: All households This variable indicates 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 Household weight (integral) Puerto Rico 2010: All households This variable indicates the household weight (integral). This is a 4-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Metropolitan area Puerto Rico 2010: All households This variable indicates whether or not the household is located in a metropolitan area and identifies the metro area for households located in metro areas. 0000 Not identifiable or not in an MSA 0060 Aguadilla, PR 0470 Arecibo, PR 1330 Caguas, PR 6360 Ponce, PR 7440 San Juan-Bayamon, PR Geography: O-Z Variables -- HOUSEHOLD Group quarters status Puerto Rico 2010: All households This variable classifies all housing units as falling into one of three main categories: households, group quarters, or vacant units. Households under 1970 definition refer to households with 0 to 4 persons unrelated to the head. Additional households under the 1990 definition refer to households with 5 to 9 persons unrelated to the head. 0 Vacant unit 1 Households under 1970 definition 2 Additional households under 1990 definition 3 Institutions 4 Other group quarters (all group quarters in 1960, 1970 and 1980 internal data) Group Quarters Variables -- HOUSEHOLD Group quarters type Puerto Rico 2010: All households This variable distinguishes between institutions and non-institutional group quarters. 000 Non-group quarters households 100 Institution 500 Non-institutional group quarters Group Quarters Variables -- HOUSEHOLD Farm status Puerto Rico 2010: All households This variable identifies farm households. All group quarters are coded as non-farm. 1 Non-Farm 2 Farm Household Economic Variables -- HOUSEHOLD Sales of farm products [Questions 4-6 were asked of households living in independent houses and mobile homes.]</p> <p><span class="em">5. In the past 12 months, what were the actual sales of all agricultural products from this property?</span><div class="i1">[] None<br />[] $1 to $999<br />[] $1,000 to $2,499<br />[] $2,500 to $4,999<br />[] $5,000 to $9,999<br />[] $10,000 or more</div> Puerto Rico 2010: Households living in independent houses or mobile homes [discrepancies: type I none; type II 76.1%] This variable reports the previous year's gross sales of farm produce in contemporary dollars. The reference period is the past 12 months. 0 NIU (not in universe) 1 Less than $50 2 $50 - $249 3 $250 - $2,499 4 $2,500 - $4,999 5 $5,000 - $9,999 6 $10,000 or more 9 Unknown Household Economic Variables -- HOUSEHOLD Ownership of dwelling (tenure) [Questions 7 - 14 were asked of all households.]</p> <p><span class="em">14. Is this house, apartment, or mobile home </span><div class="i1">Mark (X) in one box.<br /><br />[] Owned by you or someone in this household with a mortgage or loan? Include home equity loans.<br />[] Owned by you or someone in this household free and clear (without a mortgage or loan)?<br />[] Rented?<br />[] Occupied without payment of rent? <span class="em"> Skip to [C] </span></div> <span class="em">Answer questions 1 through 21 for the house, apartment, or mobile home at the address on the mailing label.</span></p> <p>14. Housing is owned if the owner or co-owner lives in it.</p> <p>If the house, apartment, or mobile home is mortgaged or there is a contract to purchase, mark the "Owned by you or someone in this household with a mortgage or loan? Include home equity loans." box. If there is no mortgage or other debt, mark the "Owned by you or someone in this household free and clear (without a mortgage or loan)?" box. If the house, apartment, or mobile home is owned but the land is rented, mark one of the "owned" categories. If the mobile home is owned without an installment loan, but there is a mortgage on the land, mark the "Owned by you or someone in this household with a mortgage or loan? Include home equity loans." box.</p> <p>If any money rent is paid, even if the rent is paid by people who are not members of your household, or paid by a federal, state, or local government agency, mark the "Rented?" box. <br />If the unit is not owned or being bought by a member of this household and if money rent is not paid or contracted, mark the "Occupied without payment of rent?" box. The unit may be owned by friends or relatives who live elsewhere and who allow you to occupy this house, apartment, or mobile home without charge. A house or apartment may be provided as part of wages or salary. </p> <p>Examples are: caretaker's or janitor's house or apartment; parsonages; tenant farmer or sharecropper houses for which the occupants do not pay cash rent; or military housing. Puerto Rico 2010: Private households [discrepancies: none] This variable indicates the ownership of the dwelling (tenure). 00 NIU (not in universe) 12 Owned free and clear 13 Owned with mortgage or loan 21 No cash rent 22 With cash rent Household Economic Variables -- HOUSEHOLD Mortgage status [Questions 16-20 were asked of households if a household member owns the dwelling or is buying one.]</p> <p><span class="em">19. a) Do you or any member of this household have a mortgage, deed of trust, contract to purchase, or similar debt on this property?</span><div class="i1">[] Yes, mortgage, deed of trust, or similar debt<br />[] Yes, contract to purchase<br />[] No - skip to question 23a</div> Puerto Rico 2010: Private households that own the dwelling [discrepancies: none] This variable indicates whether an owner-occupied housing unit was owned free and clear or was encumbered by a mortgage, loan, or other type of debt. 0 NIU (not in universe) 1 No, owned free and clear 3 Yes, mortgaged or deed of trust or similar debt 4 Yes, contract to purchase Household Economic Variables -- HOUSEHOLD Second mortgage status [Questions 16-20 were asked of households if a household member owns the dwelling or is buying one.]</p> <p><span class="em">20. a) Do you or any member of this household have a second mortgage or a home equity loan on this property?</span><div class="i1">[] Yes, home equity loan<br />[] Yes, second mortgage<br />[] Yes, second mortgage and home equity loan<br />[] No - Skip to D</div> <span class="em">Answer questions 1 through 21 for the house, apartment, or mobile home at the address on the mailing label.</span></p> <p>20a. A second mortgage or home equity loan is also secured by real estate. You must have a first mortgage in order to have a second mortgage. You may have a home equity loan and other mortgages on the property or the home equity loan may be the only mortgage.</p> <p>20b. Enter a monthly amount even if it is unpaid or paid by someone else. If the amount is paid on some other periodic basis, see instructions for 15a to change it to a monthly amount. Include payments on all second or junior mortgages or home equity loans. Puerto Rico 2010: Private households with mortgage [discrepancies: none] This variable indicates whether owner-occupied housing units with a first mortgage were encumbered by a second mortgage or home equity loan. 0 NIU (not in universe) 1 No 3 Yes, 2nd mortgage 4 Yes, home equity loan 5 Yes, 2nd mortgage and home equity loan Household Economic Variables -- HOUSEHOLD First mortgage monthly payment [Questions 16-20 were asked of households if a household member owns the dwelling or is buying one.]</p> <p><span class="em">19. b) How much is the regular monthly mortgage payment on this property? </span><div class="i1">Include payments only on first mortgage or contract to purchase<br />Monthly amount in dollars $_ _ _ _ _.00<br /><br /><span class="ital">Or</span><br />[] No regular payment required - Skip to question 23a</div> <span class="em">Answer questions 1 through 21 for the house, apartment, or mobile home at the address on the mailing label.</span></p> <p>19a. The word mortgage indicates all types of loans secured by real estate.</p> <p>19b. Enter a monthly amount even if it is unpaid or paid by someone else. If the amount is paid on some other periodic basis, see the instructions for 15a to change it to a monthly amount.</p> <p>Include payments on first mortgages and contracts to purchase only. Report payments for second or junior mortgages and home equity loans in 20b.</p> <p>If this is a mobile home, report payments on installment loans but DO NOT include personal property taxes, site rent, registration fees, and license fees on the mobile home and site. Report these fees in item 21. Puerto Rico 2010: Private households with mortgage [discrepancies: none] This variable reports the household's monthly first mortgage payment obligations. It may include such extras as property taxes and insurance; other variables (PR2010A0041, PR2010A0042) reveal whether these items were part of the mortgage payment. Amounts under $1000 are rounded to the nearest ten; amounts over $1000 are rounded to the nearest hundred. 0000 NIU (not in universe) 0020 20 0030 30 0040 40 0050 50 0060 60 0070 70 0080 80 0090 90 0100 100 0110 110 0120 120 0130 130 0140 140 0150 150 0160 160 0170 170 0180 180 0190 190 0200 200 0210 210 0220 220 0230 230 0240 240 0250 250 0260 260 0270 270 0280 280 0290 290 0300 300 0310 310 0320 320 0330 330 0340 340 0350 350 0360 360 0370 370 0380 380 0390 390 0400 400 0410 410 0420 420 0430 430 0440 440 0450 450 0460 460 0470 470 0480 480 0490 490 0500 500 0510 510 0520 520 0530 530 0540 540 0550 550 0560 560 0570 570 0580 580 0590 590 0600 600 0610 610 0620 620 0630 630 0640 640 0650 650 0660 660 0670 670 0680 680 0690 690 0700 700 0710 710 0720 720 0730 730 0740 740 0750 750 0760 760 0770 770 0780 780 0790 790 0800 800 0810 810 0820 820 0830 830 0840 840 0850 850 0860 860 0870 870 0880 880 0890 890 0900 900 0910 910 0920 920 0930 930 0940 940 0950 950 0960 960 0970 970 0980 980 0990 990 1000 1000 1100 1100 1200 1200 1300 1300 1400 1400 1500 1500 1600 1600 1700 1700 1800 1800 1900 1900 2000 2000 2100 2100 2200 2200 2300 2300 2400 2400 3400 3400+ Household Economic Variables -- HOUSEHOLD Commercial use [Questions 4-6 were asked of households living in independent houses and mobile homes.]</p> <p><span class="em">6. Is there a business (such as a store or barber shop) or a medical office on this property?</span><div class="i1">[] Yes<br />[] No</div> <span class="em">Answer questions 1 through 21 for the house, apartment, or mobile home at the address on the mailing label.</span></p> <p>6. Complete this question only if you live in a one-family house or mobile home. A business, such as a grocery store or barber shop, is easily recognized from the outside and usually has a separate entrance. A medical office is a doctor's or dentist's office regularly visited by patients. Puerto Rico 2010: Private households living in independent houses or mobile homes [discrepancies: none] This variable identifies housing units with a business (such as a store or barber shop) or medical/dental office on the property 0 NIU (not in universe) 1 No commercial use 2 Yes, used commercially Household Economic Variables -- HOUSEHOLD House acreage [Questions 4-6 were asked of households living in independent houses and mobile homes.]</p> <p><span class="em">4. How many acres is this house or mobile home on?</span><div class="i1">[] Less than 1 acre -- Skip to question 6<br />[] 1 to 9.9 acres<br />[] 10 or more acres</div> <span class="em">Answer questions 1 through 21 for the house, apartment, or mobile home at the address on the mailing label.</span></p> <p>4. Complete this question if you live in a one-family house or in a mobile home; include only land that you own or rent.</p> <p>The number of <span class="lang">cuerdas </span>is the land area on which the house or mobile home is located; include adjoining land you rent for your use. Puerto Rico 2010: Private households living in independent houses or mobile homes [discrepancies: none] This variable indicates whether a single-family house or mobile house was located on 10+ cuerdas. 0 NIU (not in universe) 5 House on less than 10 cuerdas 6 House on 10 or more cuerdas Household Economic Variables -- HOUSEHOLD Mortgage payment includes property taxes [Questions 16-20 were asked of households if a household member owns the dwelling or is buying one.]</p> <p><span class="em">19. c) Does the regular monthly mortgage payment include payments for real estate taxes on this property?</span><div class="i1">[] Yes, taxes included in mortgage payment<br />[] No, taxes paid separately or taxes not required</div> Puerto Rico 2010: Private households with mortgage [discrepancies: none] This variable indicates whether or not the household's mortgage payment includes property taxes. 0 NIU (not in universe) 1 No 2 Yes Household Economic Variables -- HOUSEHOLD Mortgage payment includes property insurance [Questions 16-20 were asked of households if a household member owns the dwelling or is buying one.]</p> <p><span class="em">19. d) Does the regular monthly mortgage payment include payments for fire, hazard, or flood insurance on this property</span>?</p> <div class="i1">[] Yes, insurance included in mortgage payment<br />[] No, insurance paid separately or no insurance</div> Puerto Rico 2010: Private households with mortgage [discrepancies: none] This variable indicates whether or not the household's mortgage payment includes property insurance. 0 NIU (not in universe) 1 No 2 Yes, payment includes insurance premiums Household Economic Variables -- HOUSEHOLD Annual property insurance cost [Questions 16-20 were asked of households if a household member owns the dwelling or is buying one.]</p> <p><span class="em">18. What is the annual payment for fire, hazard, and flood insurance on this property?</span><div class="i1">Annual amount in dollars $_ _ _ _.00<br /><br /><span class="ital">Or</span><br />[] None</div> <span class="em">Answer questions 1 through 21 for the house, apartment, or mobile home at the address on the mailing label.</span></p> <p>18. When premiums are paid other than on a yearly basis, convert to a yearly basis. Enter the yearly amount even if no payment was made during the past year. Puerto Rico 2010: Private households that own the dwelling [discrepancies: none] This variable reports the household's annual property (fire, hazard, flood) insurance costs. Amounts under $1000 are rounded to the nearest ten; amounts over $1000 are rounded to the nearest hundred. 0000 NIU (not in universe) 0001 None 0004 4 0010 10 0020 20 0030 30 0040 40 0050 50 0060 60 0070 70 0080 80 0090 90 0100 100 0110 110 0120 120 0130 130 0140 140 0150 150 0160 160 0170 170 0180 180 0190 190 0200 200 0210 210 0220 220 0230 230 0240 240 0250 250 0260 260 0270 270 0280 280 0290 290 0300 300 0310 310 0320 320 0330 330 0340 340 0350 350 0360 360 0370 370 0380 380 0390 390 0400 400 0410 410 0420 420 0430 430 0440 440 0450 450 0460 460 0470 470 0480 480 0490 490 0500 500 0510 510 0520 520 0530 530 0540 540 0550 550 0560 560 0570 570 0580 580 0590 590 0600 600 0610 610 0620 620 0630 630 0640 640 0650 650 0660 660 0670 670 0680 680 0690 690 0700 700 0710 710 0720 720 0740 740 0750 750 0760 760 0780 780 0790 790 0800 800 0810 810 0820 820 0830 830 0840 840 0850 850 0860 860 0870 870 0880 880 0890 890 0900 900 0910 910 0920 920 0940 940 0950 950 0960 960 0970 970 0980 980 0990 990 1000 1000 1100 1100 1200 1200 1300 1300 1400 1400 1500 1500 1600 1600 1700 1700 1800 1800 1900 1900 2700 2700+ Household Economic Variables -- HOUSEHOLD Annual property taxes [Questions 16-20 were asked of households if a household member owns the dwelling or is buying one.]</p> <p><span class="em">17. What are the annual real estate taxes on this property?</span><div class="i1">Annual amount in dollars $_ _ _ _ _.00<br /><br /><span class="ital">Or</span><br />[] None</div> <span class="em">Answer questions 1 through 21 for the house, apartment, or mobile home at the address on the mailing label.</span></p> <p>17. Report taxes for all taxing jurisdictions (city or town, county, state, school district, etc.) even if they are included in your mortgage payment, not yet paid or paid by someone else, or are delinquent. Do not include taxes past due from previous years. Puerto Rico 2010: Private households that own the dwelling [discrepancies: none] This variable reports the household's total real estate tax costs (state, local, and other) for the previous year. Amounts under $1000 are rounded to the nearest ten; amounts over $1000 are rounded to the nearest hundred. 00 NIU (not in universe) 01 None 02 1-49 03 50-99 04 100-149 05 150-199 06 200-249 07 250-299 08 300-349 09 350-399 10 400-449 11 450-499 12 500-549 13 550-599 14 600-649 15 650-699 16 700-749 17 750-799 18 800-849 19 850-899 20 900-949 21 950-999 22 1000-1099 23 1100-1199 24 1200-1299 25 1300-1399 26 1400-1499 27 1500-1599 28 1600-1699 29 1700-1799 30 1800-1899 31 1900-1999 32 2000-2099 33 2100-2199 34 2200-2299 35 2300-2399 36 2400-2499 37 2500-2599 39 2700-2799 40 2800-2899 41 2900-2999 42 3000-3099 44 3200-3299 45 3300-3399 46 3400-3499 47 3500-3599 48 3600-3699 50 3800-3899 51 3900-3999 52 4000-4099 53 4100-4199 54 4200-4299 55 4300-4399 56 4400-4499 58 4500-4599 61 4800-4899 62 4900-4999 63 5000-5499 64 5500-5999 65 6000-6999 66 7000-7999 67 8000-8999 68 9000-9999 69 10,000+ Household Economic Variables -- HOUSEHOLD Monthly gross rent [Question 15 was asked of households living in rented houses, apartments or mobile homes.]</p> <p><span class="em">15. a) What is the monthly rent for this house, apartment, or mobile home?</span><div class="i1">Monthly amount in dollars $_ _ _ _ _.00</div> <span class="em">Answer questions 1 through 21 for the house, apartment, or mobile home at the address on the mailing label.</span></p> <p>15a. Report the rent agreed to or contracted for, even if the rent for your house, apartment, or mobile home is unpaid or paid by someone else.</p> <div class="i1">If rent is paid by the day, multiple rent by 30<br />If rent is paid by the week, multiply rent by 4<br />If rent is paid every other week, multiple rent by 2<br />If rent is paid 4 times a year, divide rent by 3<br />If rent is paid 2 times a year, divide rent by 6<br />If rent is paid once a year, divide rent by 12</div><p>15b. If meals are included in the monthly rent payment, or you must contract for meals or a meal plan in order to live in this house, apartment, or mobile home, mark the "Yes" box. Puerto Rico 2010: Private households paying cash rent [discrepancies: none] This variable indicates the household's monthly gross rent payment. PR2010A_0045 is a 4-digit numeric variable. Codes0 = NIU. Household Economic Variables -- HOUSEHOLD Meals included in rent [Question 15 was asked of households living in rented houses, apartments or mobile homes.]</p> <p><span class="em">15. b) Does this monthly rent include any meals?</span><div class="i1">[] Yes<br />[] No</div> Puerto Rico 2010: Vacant-to-rent units and private households paying cash rent [discrepancies: type I 0.2%; type II none] This variable indicates whether or not meals are included in rent. 0 NIU (not in universe) 1 No, meals not included 2 Yes Household Economic Variables -- HOUSEHOLD Monthly condominium fee [Questions 7 - 14 were asked of all households.]</p> <p><span class="em">13. Is this house, apartment, or mobile home part of a condominium?</span><div class="i1">[] Yes</div><div class="i2">What is the monthly condominium fee? (For renters, answer only if you pay the condominium fee in addition to your rent; otherwise, mark the "none" box.)<br />Monthly Amount in dollars $____.00</div><div class="i1"><span class="ital">Or</span><br />[] No</div> <span class="em">Answer questions 1 through 21 for the house, apartment, or mobile home at the address on the mailing label.</span></p> <p>13. A condominium is housing in which the apartments, houses, or mobile homes in a building or development are individually owned, but the common areas, such as lobbies and halls, are jointly owned. Occupants of a cooperative should mark the "No" box.</p> <p>A condominium fee is normally assessed by the condominium owners' association for the purpose of improving and maintaining the common areas. Enter a monthly amount even if it is unpaid or paid by someone else. If the amount is paid on some other periodic basis, see the instruction for question 15a below on how to change it to a monthly amount. Puerto Rico 2010: Owner-occupied condominiums [not verifiable] This variable indicates the household's monthly condominium fee. Amounts under $1000 are rounded to the nearest ten; amounts over $1000 are rounded to the nearest hundred. 000 NIU (not in universe) 004 4 010 10 020 20 030 30 040 40 050 50 060 60 070 70 080 80 090 90 100 100 110 110 120 120 130 130 140 140 150 150 160 160 170 170 180 180 190 190 200 200 210 210 220 220 230 230 240 240 250 250 260 260 270 270 280 280 290 290 300 300 310 310 320 320 330 330 340 340 350 350 360 360 370 370 380 380 400 400 420 420 430 430 460 460 470 470 490 490 500 500 850 850+ Household Economic Variables -- HOUSEHOLD Annual electricity cost [Questions 7 - 14 were asked of all households.]</p> <p><span class="em">11. a) Last month, what was the cost of electricity for this house, apartment, or mobile home?</span><div class="i1">Last month's cost in dollars $____.00<br /><br /><span class="ital">Or</span><br />[] Included in rent or condominium fee<br />[] No charge or electricity not used</div> <span class="em">Answer questions 1 through 21 for the house, apartment, or mobile home at the address on the mailing label.</span></p> <p><span class="em">11a-11d.</span></p> <p>If your house, apartment, or mobile home is rented, enter the costs for utilities and fuels only if you pay for them in addition to the monthly rent.</p> <p>If you live in a condominium, enter the costs for utilities and fuels only if you pay for them in addition to your condominium fee.</p> <p>If your fuel and utility costs are included in your rent or condominium fee, mark the "Included in rent or in condominium fee" box. do not enter any dollar amounts.</p> <p>For items 11a and 11b, report last month's costs. For items 11c and 11d, report total costs for the past 12 months.</p> <p>Estimate as closely as possible if you do not know exact costs. If you have lived in this house, apartment, or mobile home less than one year, estimate the costs for the past 12 months in 11c and 11d.</p> <p>Report amounts even if your bills are unpaid or paid by someone else. If the bills include utilities or fuel used also by another apartment or a business establishment, estimate the amounts for your house or apartment only. If gas and electricity are billed together, enter the combined amount in 11a and mark the "Included in electricity payment entered above" box in item 11b. Puerto Rico 2010: Private households [discrepancies: none] This variable indicates the household's annual electricity cost. Amounts under $1000 are rounded to the nearest ten; amounts over $1000 are rounded to the nearest hundred. 0000 NIU (not in universe) 0048 48 0120 120 0240 240 0360 360 0480 480 0600 600 0720 720 0840 840 0960 960 1080 1080 1200 1200 1320 1320 1440 1440 1560 1560 1680 1680 1800 1800 1920 1920 2040 2040 2160 2160 2280 2280 2400 2400 2520 2520 2640 2640 2760 2760 2880 2880 3000 3000 3120 3120 3240 3240 3360 3360 3480 3480 3600 3600 3720 3720 3840 3840 3960 3960 4080 4080 4200 4200 4320 4320 4440 4440 4560 4560 4680 4680 4800 4800 4920 4920 5040 5040 5160 5160 5280 5280 5400 5400 5520 5520 5640 5640 5760 5760 5880 5880 6000 6000 6480 6480+ 9993 No charge or no electricity used 9997 Electricity included in rent or in condo fee Household Economic Variables -- HOUSEHOLD Annual gas cost [Questions 7 - 14 were asked of all households.]</p> <p><span class="em">11. b) Last month, what was the cost of gas for this house, apartment or mobile home?</span><div class="i1">Last month's cost in dollars $____.00<br /><br /><span class="ital">Or</span><br />[] Included in rent or condominium fee<br />[] Included in electricity payment entered above<br />[] No charge or gas not used</div> <span class="em">Answer questions 1 through 21 for the house, apartment, or mobile home at the address on the mailing label.</span></p> <p><span class="em">11a-11d.</span></p> <p>If your house, apartment, or mobile home is rented, enter the costs for utilities and fuels only if you pay for them in addition to the monthly rent.</p> <p>If you live in a condominium, enter the costs for utilities and fuels only if you pay for them in addition to your condominium fee.</p> <p>If your fuel and utility costs are included in your rent or condominium fee, mark the "Included in rent or in condominium fee" box. do not enter any dollar amounts.</p> <p>For items 11a and 11b, report last month's costs. For items 11c and 11d, report total costs for the past 12 months.</p> <p>Estimate as closely as possible if you do not know exact costs. If you have lived in this house, apartment, or mobile home less than one year, estimate the costs for the past 12 months in 11c and 11d.</p> <p>Report amounts even if your bills are unpaid or paid by someone else. If the bills include utilities or fuel used also by another apartment or a business establishment, estimate the amounts for your house or apartment only. If gas and electricity are billed together, enter the combined amount in 11a and mark the "Included in electricity payment entered above" box in item 11b. Puerto Rico 2010: Private households [discrepancies: none] This variable indicates the household's annual gas cost. 0000 NIU (not in universe) 0048 48 0120 120 0240 240 0360 360 0480 480 0600 600 0720 720 0840 840 0960 960 1080 1080 1200 1200 1800 1800+ 9992 Included in electricity payment 9993 No charge or no gas used 9997 Gas included in rent or in condo fee Household Economic Variables -- HOUSEHOLD Annual water cost [Questions 7 - 14 were asked of all households.]</p> <p><span class="em">11. c) In the past 12 months, what was the cost of water and sewer for this house, apartment, or mobile home?</span><div class="i1">If you have listed here less than 12 months, estimate the cost.<br /><br />Past 12 months' cost in dollars $____.00<br /><br /><span class="ital">Or</span><br />[] Included in rent or condominium fee<br />[] No charge</div> <span class="em">Answer questions 1 through 21 for the house, apartment, or mobile home at the address on the mailing label.</span></p> <p><span class="em">11a-11d.</span></p> <p>If your house, apartment, or mobile home is rented, enter the costs for utilities and fuels only if you pay for them in addition to the monthly rent.</p> <p>If you live in a condominium, enter the costs for utilities and fuels only if you pay for them in addition to your condominium fee.</p> <p>If your fuel and utility costs are included in your rent or condominium fee, mark the "Included in rent or in condominium fee" box. do not enter any dollar amounts.</p> <p>For items 11a and 11b, report last month's costs. For items 11c and 11d, report total costs for the past 12 months.</p> <p>Estimate as closely as possible if you do not know exact costs. If you have lived in this house, apartment, or mobile home less than one year, estimate the costs for the past 12 months in 11c and 11d.</p> <p>Report amounts even if your bills are unpaid or paid by someone else. If the bills include utilities or fuel used also by another apartment or a business establishment, estimate the amounts for your house or apartment only. If gas and electricity are billed together, enter the combined amount in 11a and mark the "Included in electricity payment entered above" box in item 11b. Puerto Rico 2010: Private households [discrepancies: none] This variable indicates the household's annual water cost. 0000 NIU (not in universe) 0004 4 0010 10 0020 20 0030 30 0040 40 0050 50 0060 60 0070 70 0080 80 0090 90 0100 100 0110 110 0120 120 0130 130 0140 140 0150 150 0160 160 0170 170 0180 180 0190 190 0200 200 0210 210 0220 220 0230 230 0240 240 0250 250 0260 260 0270 270 0280 280 0290 290 0300 300 0310 310 0320 320 0330 330 0340 340 0350 350 0360 360 0370 370 0380 380 0390 390 0400 400 0410 410 0420 420 0430 430 0440 440 0450 450 0460 460 0470 470 0480 480 0490 490 0500 500 0510 510 0520 520 0530 530 0540 540 0550 550 0560 560 0570 570 0580 580 0590 590 0600 600 0610 610 0620 620 0630 630 0640 640 0650 650 0660 660 0670 670 0680 680 0690 690 0700 700 0710 710 0720 720 0730 730 0740 740 0750 750 0760 760 0770 770 0780 780 0790 790 0800 800 0810 810 0820 820 0830 830 0840 840 0850 850 0860 860 0870 870 0880 880 0890 890 0900 900 0910 910 0920 920 0930 930 0940 940 0950 950 0960 960 0970 970 0980 980 0990 990 1000 1000 1100 1100 1200 1200 1300 1300 1400 1400 1500 1500 1600 1600 1700 1700 1800 1800 1900 1900 2000 2000 2100 2100 2200 2200 2700 2700+ 9993 No charge or no used 9997 Water included in rent or in condo fee Household Economic Variables -- HOUSEHOLD Annual home heating fuel cost [Questions 7 - 14 were asked of all households.]</p> <p><span class="em">11. d) In the past 12 months, what was the cost of oil, coal, kerosene, wood, etc., for this house, apartment, or mobile home?</span><div class="i1">If you have lived here less than 12 months, estimate the cost<br /><br />Past 12 month's cost in dollars: $_ _ _ _.00<br /><br /><span class="ital">Or</span><br />[] Included in rent or condominium fee<br />[] No charge or these fuels not used.</div> Puerto Rico 2010: Private households [discrepancies: none] This variable indicates the household's annual home-heating fuel cost. 0000 NIU (not in universe) 0004 4 0010 10 0020 20 0030 30 0040 40 0050 50 0060 60 0070 70 0080 80 0090 90 0100 100 0200 200 0300 300 0400 400 0120 120 0130 130 0140 140 0150 150 0160 160 0170 170 0180 180 0190 190 0230 230 0240 240 0250 250 0260 260 0270 270 0280 280 0290 290 0320 320 0330 330 0340 340 0350 350 0360 360 0370 370 0420 420 0430 430 0450 450 0470 470 0480 480 0490 490 0500 500 0510 510 0530 530 0540 540 0550 550 0560 560 0580 580 0600 600 0640 640 0690 690 0780 780 0800 800 0820 820 0840 840 0860 860 0880 880 0900 900 0920 920 0960 960 0980 980 1000 1000 1100 1100 1200 1200 1300 1300 2000 2000+ 9993 No charge or no solid or liquid fuel used 9997 Fuel included in rent or in condo fee Household Economic Variables -- HOUSEHOLD Vacancy status Puerto Rico 2010: Vacant housing units [discrepancies: none] This variable identifies vacant housing units and reports the reason for the vacancy (e.g., for rent, for sale, used only seasonally). 0 NIU (not in universe) 1 For rent 2 For sale only 3 Rented or sold but not (yet) occupied 4 For seasonal, recreational, or other occasional use 7 For migratory workers 9 Other vacant Dwelling Characteristics Variables -- HOUSEHOLD Kitchen or cooking facilities Puerto Rico 2010: Private households and vacant housing units [discrepancies: none] This variable indicates whether or not the household has a kitchen or cooking facilities. 0 NIU (not in universe) 1 No 4 Yes (shared or exclusive use) Dwelling Characteristics Variables -- HOUSEHOLD Plumbing facilities [Questions 7 - 14 were asked of all households.]</p> <p><span class="em">8. Does this house, apartment, or mobile home have:</span><div class="i1">Indicate with "yes" or "no"<br /><br />a) Hot and cold running water?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">b) A flush toilet?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">c) A bathtub or shower?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">d) A sink with a faucet?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">e) A stove or range?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">f) A refrigerator?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">g) Telephone service from which you can both make and receive calls? (Include cell phones)</div><div class="i2">[] Yes<br />[] No</div> Puerto Rico 2010: Private households and vacant housing units [discrepancies: none] This variable indicates whether or not the household has plumbing facilities. 00 NIU (not in universe) 10 Without complete plumbing 20 With complete plumbing Dwelling Characteristics Variables -- HOUSEHOLD Hot and cold piped water [Questions 7 - 14 were asked of all households.]</p> <p><span class="em">8. Does this house, apartment, or mobile home have:</span><div class="i1">Indicate with "yes" or "no"<br /><br />a) Hot and cold running water?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">b) A flush toilet?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">c) A bathtub or shower?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">d) A sink with a faucet?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">e) A stove or range?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">f) A refrigerator?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">g) Telephone service from which you can both make and receive calls? (Include cell phones)</div><div class="i2">[] Yes<br />[] No</div> <span class="em">Answer questions 1 through 21 for the house, apartment, or mobile home at the address on the mailing label.</span></p> <p>8a. Mark "Yes" to "hot and cold running water" even if the unit has hot water only part of the time.</p> <p>8d. Mark "Yes" to "sink with a faucet" if the sink is inside the house, apartment, or mobile home and the water can be turned on and off with a faucet.</p> <p>8e. Mark "Yes" to "a stove or range" if the stove or range is inside the house, apartment, or mobile home. Portable cooking equipment is not considered a stove or range.</p> <p>8g. Mark "Yes" to "telephone service..." if (1) there is a telephone in working order, and someone receives service at this house, apartment, or mobile home; or (2) if someone has a cell phone from which you can both make and receive calls. If service has been discontinued because of nonpayment or any other reason, mark the "No" box. Puerto Rico 2010: Private households and vacant housing units [discrepancies: none] This variable indicates whether the household has hot and cold piped water. 0 NIU (not in universe) 3 No piped water or cold piped water only 4 Hot and cold piped water Dwelling Characteristics Variables -- HOUSEHOLD Bathtub or shower [Questions 7 - 14 were asked of all households.]</p> <p><span class="em">8. Does this house, apartment, or mobile home have:</span><div class="i1">Indicate with "yes" or "no"<br /><br />a) Hot and cold running water?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">b) A flush toilet?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">c) A bathtub or shower?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">d) A sink with a faucet?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">e) A stove or range?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">f) A refrigerator?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">g) Telephone service from which you can both make and receive calls? (Include cell phones)</div><div class="i2">[] Yes<br />[] No</div> Puerto Rico 2010: Private households and vacant housing units [discrepancies: none] This variable indicates whether the household has a bathtub or shower. 0 NIU (not in universe) 1 No, no bathtub or shower 4 Yes (exclusive or shared use) Dwelling Characteristics Variables -- HOUSEHOLD Flush toilet [Questions 7 - 14 were asked of all households.]</p> <p><span class="em">8. Does this house, apartment, or mobile home have:</span><div class="i1">Indicate with "yes" or "no"<br /><br />a) Hot and cold running water?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">b) A flush toilet?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">c) A bathtub or shower?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">d) A sink with a faucet?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">e) A stove or range?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">f) A refrigerator?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">g) Telephone service from which you can both make and receive calls? (Include cell phones)</div><div class="i2">[] Yes<br />[] No</div> Puerto Rico 2010: Private households and vacant housing units [discrepancies: none] This variable indicates whether or not the household has flush toilet. 0 NIU (not in universe) 1 No, no indoor flush toilet 4 Yes, shared or exclusive use Dwelling Characteristics Variables -- HOUSEHOLD Units in structure [Questions 1-3 were asked of all households.]</p> <p><span class="em">1. Which best describes this building? </span><div class="i1">Include all apartments, flats, etc., even if vacant<br /><br />[] A mobile home<br />[] A one-family house detached from any other house<br />[] A one-family house attached to one or more houses<br />[] A building with 2 apartments<br />[] A building with 3 or 4 apartments<br />[] A building with 5 to 9 apartments<br />[] A building with 10 to 19 apartments<br />[] A building with 20-49 apartments<br />[] A building with 50 or more apartments<br />[] Boat, RV, van, etc.</div> Puerto Rico 2010: Private households and vacant housing units [discrepancies: none] This variable indicates the number of housing units in the dwelling structure. 00 NIU (not in universe) 01 Mobile home or trailer 02 Boat, tent, van, other 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 Dwelling Characteristics Variables -- HOUSEHOLD Telephone availability [Questions 7 - 14 were asked of all households.]</p> <p><span class="em">8. Does this house, apartment, or mobile home have:</span><div class="i1">Indicate with "yes" or "no"<br /><br />a) Hot and cold running water?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">b) A flush toilet?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">c) A bathtub or shower?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">d) A sink with a faucet?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">e) A stove or range?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">f) A refrigerator?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">g) Telephone service from which you can both make and receive calls? (Include cell phones)</div><div class="i2">[] Yes<br />[] No</div> <span class="em">Answer questions 1 through 21 for the house, apartment, or mobile home at the address on the mailing label.</span></p> <p>8a. Mark "Yes" to "hot and cold running water" even if the unit has hot water only part of the time.</p> <p>8d. Mark "Yes" to "sink with a faucet" if the sink is inside the house, apartment, or mobile home and the water can be turned on and off with a faucet.</p> <p>8e. Mark "Yes" to "a stove or range" if the stove or range is inside the house, apartment, or mobile home. Portable cooking equipment is not considered a stove or range.</p> <p>8g. Mark "Yes" to "telephone service..." if (1) there is a telephone in working order, and someone receives service at this house, apartment, or mobile home; or (2) if someone has a cell phone from which you can both make and receive calls. If service has been discontinued because of nonpayment or any other reason, mark the "No" box. Puerto Rico 2010: Private households [discrepancies: none] This variable indicates whether or not a telephone was available in the household. 0 NIU (not in universe) 1 No, no phone available 2 Yes, phone available Utilities Variables -- HOUSEHOLD Linguistic isolation Puerto Rico 2010: Private households [discrepancies: none] This variable identifies "linguistically isolated households." These are households in which either no person age 14+ speaks only English at home, or no person age 14+ who speaks a language other than English at home speaks English "Very well". All members of such a household are considered linguistically isolated, even though children under 14 who speak only English may live there. 0 NIU (not in universe) 1 Not linguistically isolated 2 Linguistically isolated Other Household Variables -- HOUSEHOLD Home heating fuel [Questions 7 - 14 were asked of all households.]</p> <p><span class="em">10. Which fuel is used most for heating this house, apartment or mobile home?</span><div class="i1">[] Gas: from underground pipes serving the neighborhood<br />[] Gas: bottled, tank or LP<br />[] Electricity<br />[] Fuel oil, kerosene, etc.<br />[] Coal or coke<br />[] Wood<br />[] Solar energy<br />[] Other fuel<br />[] No fuel used</div> <span class="em">Answer questions 1 through 21 for the house, apartment, or mobile home at the address on the mailing label.</span></p> <p>10. Mark one category for the fuel used MOST to heat this house, apartment, or mobile home. In buildings containing more than one apartment, you may obtain this information from the owner, manager, or janitor.</p> <p>Solar energy is provided by a system that collects, stores, and distributes heat from the sun. Other fuel includes any fuel not listed separately, such as purchased steam, fuel briquettes, and waste material. Puerto Rico 2010: Private households [discrepancies: none] This variable indicates the primary source of heating fuel used in the household. 0 NIU (not in universe) 1 No fuel used 2 Utility gas from underground pipes serving neighborhood 3 Bottled, tank, or liquefied petroleum gas 4 Electricity 5 Fuel oil, kerosene, other liquid fuels 6 Coal or coke 7 Wood 8 Solar energy 9 Other Utilities Variables -- HOUSEHOLD Vehicles available [Questions 7 - 14 were asked of all households.]</p> <p><span class="em">9. How many automobiles, vans, and trucks of one-ton capacity or less are kept at home for use by members of this household?</span><div class="i1">[] None<br />[] 1<br />[] 2<br />[] 3<br />[] 4<br />[] 5<br />[] 6 or more</div> <span class="em">Answer questions 1 through 21 for the house, apartment, or mobile home at the address on the mailing label.</span></p> <p>9. Include company cars, vans or SUVs (including police cars and taxicabs) and company trucks of one-ton (2,000 pounds) capacity or less that are regularly kept at home and used by household members for nonbusiness purposes. Do not count (1) cars or trucks permanently out of working order, or (2) motorcycles or other recreational vehicles. Puerto Rico 2010: Private households [discrepancies: none] This variable indicates the number of vehicles available in the household. 0 NIU (not in universe) 1 1 available 2 2 3 3 4 4 5 5 6 6+ 9 No vehicles available Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of families in household Puerto Rico 2010: All households This variable indicates the number of families in the household. 0 0 families (vacant unit) 1 1 family 2 2 families 3 3 4 4 5 5 6 6 7 7 Constructed Household Variables -- HOUSEHOLD Number of married couples in household Puerto Rico 2010: Private households [discrepancies: type I none; type II 46.1%] This variable indicates the number of married couples in the household. 0 0 1 1 2 2 3 3 9 NIU (not in universe) Constructed Household Variables -- HOUSEHOLD Number of mothers in household Puerto Rico 2010: Private households [discrepancies: type I none; type II 43.6%] This variable indicates the number of mothers in the household. 0 0 1 1 2 2 3 3 9 NIU (not in universe) Constructed Household Variables -- HOUSEHOLD Number of fathers in household Puerto Rico 2010: Private households [discrepancies: type I none; type II 57.8%] This variable indicates the number of fathers in the household. 0 0 1 1 2 2 3 3 9 NIU (not in universe) Constructed Household Variables -- HOUSEHOLD Flag for ACREHOUS Puerto Rico 2010: All households This variable is a data quality flag for ACREHOUS (house acreage). 0 Not allocated or Not applicable 4 Allocated, hot deck Household Imputation Flags Variables -- HOUSEHOLD Flag for MOBLHOME, MOBLHOM2 Puerto Rico 2010: All households This variable is a data quality flag for MOBLHOME (annual mobile home costs). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for MORTAMT1 Puerto Rico 2010: All households This variable is a data quality flag for MORTAMT1 (first mortgage monthly payment). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for INSRINCL Puerto Rico 2010: All households This variable is a data quality flag for INSRINCL (mortgage payment includes property insurance). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for MORTAMT2 Puerto Rico 2010: All households This variable is a data quality flag for MORTAMT2 (second mortgage monthly payment) 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for BEDROOMS Puerto Rico 2010: All households This variable is a data quality flag for BEDROOMS (number of bedrooms). 0 Not allocated 4 Allocated, hot deck Household Imputation Flags Variables -- HOUSEHOLD Flag for COMMUSE Puerto Rico 2010: All households This variable is a data quality flag for COMMUSE (commercial use). 0 Not allocated 4 Allocated, hot deck Household Imputation Flags Variables -- HOUSEHOLD Flag for MORTGAG2 Puerto Rico 2010: All households This variable is a data quality flag for MORTGAG2 (second mortgage status). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for COSTELEC Puerto Rico 2010: All households This variable is a data quality flag for COSTELEC (annual electricity cost). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for MORTGAGE Puerto Rico 2010: All households This variable is a data quality flag for MORTGAGE (mortgage status). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for COSTFUEL Puerto Rico 2010: All households This variable is a data quality flag for COSTFUEL (annual home heating fuel cost). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for COSTGAS Puerto Rico 2010: All households This variable is a data quality flag for COSTGAS (annual gas cost). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for PROPINSR Puerto Rico 2010: All households This variable is a data quality flag for PROPINSR (annual property insurance cost). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for COSTWATR Puerto Rico 2010: All households This variable is a data quality flag for COSTWATR (annual water cost). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for PROPTX99 Puerto Rico 2010: All households This variable is a data quality flag for PROPTX99 (annual property taxes, 1990). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for RENTMEAL Puerto Rico 2010: All households This variable is a data quality flag for RENTMEAL (meals included in rent). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for FUELHEAT Puerto Rico 2010: All households This variable is a data quality flag for FUELHEAT (home heating fuel). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for KITCHEN Puerto Rico 2010: All households This variable is a data quality flag for KITCHEN (kitchen or cooking facilities). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for OWNERSHP Puerto Rico 2010: All households This variable is a data quality flag for OWNERSHP (ownership of dwelling (tenure)). 0 Original entry or Inapplicable (not in universe) 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for PHONE Puerto Rico 2010: All households This variable is a data quality flag for PHONE (telephone availability). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for RENT, RENT30 Puerto Rico 2010: All households This variable is a data quality flag for RENT, RENT30 (monthly contract rent). 0 Original entry or Inapplicable (not in universe) 4 Allocated (method not specified) Household Imputation Flags Variables -- HOUSEHOLD Flag for ROOMS Puerto Rico 2010: All households This variable is a data quality flag for ROOMS (number of rooms). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for SHOWER Puerto Rico 2010: All households This variable is a data quality flag for SHOWER (bathtub or shower). 0 Not allocated 4 Allocated, direct or indirect Household Imputation Flags Variables -- HOUSEHOLD Flag for UNITSSTR Puerto Rico 2010: All households This variable is a data quality flag for UNITSSTR (units in structure). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for VACANCY Puerto Rico 2010: All households This variable is a data quality flag for VACANCY (vacancy status). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for VALUEH Puerto Rico 2010: All households This variable is a data quality flag for VALUEH (house value). 0 Original entry or Inapplicable (not in universe) 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for CONDOFEE Puerto Rico 2010: All households This variable is a data quality flag for CONDOFEE (monthly condominium fee). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for TAXINCL Puerto Rico 2010: All households This variable is a data quality flag for TAXINCL (mortgage payment includes property taxes). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Food stamp recipiency [Questions 7 - 14 were asked of all households.]</p> <p><span class="em">12. In the past 12 months, did anyone in this household receive Food Stamps or a Food Stamp benefit card?</span><div class="i1">Include government benefits from the Supplemental Nutrition Assistance Program (SNAP). Do not include WIC or the National School Lunch Program.<br /><br />[] Yes<br />[] No</div> Puerto Rico 2010: Occupied housing units and group quarters [discrepancies: none] This variable indicates whether anyone in the household received Food Stamps (now called the Supplemental Nutrition Assistance Program, or SNAP) at any time in the past 12 months. 0 NIU (not in universe) 1 No 2 Yes Household Economic Variables -- HOUSEHOLD Flag for FOODSTMP, FDSTPAMT Puerto Rico 2010: All households This variable is a data quality flag for FOODSTMP and FDSTPAMT (food stamp recipiency). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Super Public Use Microdata Area Puerto Rico 2010: All households This variable indicates the Super Public Use Microdata Area where the housing unit was located. 72100 72100 72200 72200 72300 72300 72400 72400 72500 72500 72600 72600 72700 72700 72800 72800 Geography: O-Z Variables -- HOUSEHOLD Age of structure, decade [Questions 1-3 were asked of all households.]</p> <p><span class="em">2. About when was this building first built?</span><div class="i1">[] 2000 or later</div><div class="i2">Specify year _ _ _ _</div><div class="i1">[] 1990 to 1999<br />[] 1980 to 1989<br />[] 1970 to 1979<br />[] 1960 to 1969<br />[] 1950 to 1959<br />[] 1940 to 1949<br />[] 1939 or earlier</div> <span class="em">Answer questions 1 through 21 for the house, apartment, or mobile home at the address on the mailing label.</span></p> <p>2. Mark the box that corresponds to the year in which the original construction was completed, not the time of any later remodeling, additions, or conversions.</p> <p>If the building was first built in 2000 or later, enter the exact year it was built.</p> <p>If you live on a boat or in a mobile home, enter the year corresponding to the model year in which it was manufactured.</p> <p>If you do not know the year the building was first built, enter your best estimate. Puerto Rico 2010: Private households and vacant housing units [discrepancies: none] This variable indicates the decade or--for structures built in 2005 or later--year in which the structure was built. 00 NIU (not in universe) 01 1939 or earlier 02 1940-1949 03 1950-1959 04 1960-1969 05 1970-1979 06 1980-1989 07 1990-1994 09 2000-2004 10 2005 11 2006 12 2007 13 2008 14 2009 15 2010 Dwelling Characteristics Variables -- HOUSEHOLD Flag for BUILTYR2 Puerto Rico 2010: All households This variable is a data quality flag for BUILTYR2 (age of structure, decade). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Puerto Rican county code Puerto Rico 2010: All households This variable indicates the Puerto Rican county code where the enumerated household was located. 07 Arecibo 12 Bayamon 14 Caguas 16 Carolina 48 Ponce 56 San Juan 71 Guaynabo 99 Unknown Geography: O-Z Variables -- HOUSEHOLD Household type <span class="em">Answer questions 1 through 21 for the house, apartment, or mobile home at the address on the mailing label.</span></p> <p>1. Mark only one category.</p> <p>Count both occupied and vacant apartments in the house or building. Do not count stores or office space.</p> <p><span class="ital">Detached </span>means there is open space on all sides, or the house is joined only to a shed or garage. <span class="ital">Attached </span>means that the house is joined to another house or building by at least one wall that goes from ground to roof. An example of A one-family house attached to one or more houses is a house in a row of houses attached to one another, sometimes referred to as a townhouse.</p> <p>A mobile home that has had one or more rooms added or built onto it should be considered as A one-family house detached from any other house. If only a porch or shed has been added to a mobile home, it should be considered as a mobile home.</p> <p>Towable RVs, such as travel trailers or fifth-wheel trailers, should be considered as A mobile home. Self-propelling RVs or motorhomes should be considered as a Boat, RV, van, etc. Puerto Rico 2010: Private households [discrepancies: none] This variable classifies all households as either family or nonfamily households. 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 Flag for VEHICLE Puerto Rico 2010: All households This variable is a data quality flag for VEHICLE (vehicles available). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Country Puerto Rico 2010: All households This variable indicates the country from which the sample was drawn. 630 Puerto Rico Technical Household Variables -- HOUSEHOLD Selected monthly owner costs Puerto Rico 2010: Households that own the dwelling [discrepancies: none] This variable indicates the selected monthly owner costs for owner-occupied units. PR2010A_0189 is a 5-digit numeric variable. Codes99999= NIU. Household Economic Variables -- HOUSEHOLD Number of subfamilies in household Puerto Rico 2010: Private households [discrepancies: type I none; type II 22.3%] This variable indicates the number of subfamilies in the household. 0 No subfamilies 1 1 subfamily 2 2 subfamilies 9 NIU (not in universe) Constructed Household Variables -- HOUSEHOLD Total household income Puerto Rico 2010: Private households [discrepancies: none] This variable reports the total money income of all household members age 15+ during the previous year. PR2010A_0192 is a 7-digit numeric variable. Codes9999999= NIU. Household Economic Variables -- HOUSEHOLD Location of household head Puerto Rico 2010: Private households [discrepancies: none] This variable indicates the location of the household head. 0 NIU (not in universe) 1 1 Technical Household Variables -- HOUSEHOLD Refrigerator [Questions 7 - 14 were asked of all households.]</p> <p><span class="em">8. Does this house, apartment, or mobile home have:</span><div class="i1">Indicate with "yes" or "no"<br /><br />a) Hot and cold running water?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">b) A flush toilet?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">c) A bathtub or shower?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">d) A sink with a faucet?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">e) A stove or range?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">f) A refrigerator?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">g) Telephone service from which you can both make and receive calls? (Include cell phones)</div><div class="i2">[] Yes<br />[] No</div> Puerto Rico 2010: Private households and vacant housing units [discrepancies: none] This variable indicates whether a refrigerator was available in the household. 0 NIU (not in universe) 1 No, no refrigerator 2 Yes Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Flag for FRIDGE Puerto Rico 2010: All households The variable is a data quality flag for FRIDGE (refrigerator). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Sink with faucet [Questions 7 - 14 were asked of all households.]</p> <p><span class="em">8. Does this house, apartment, or mobile home have:</span><div class="i1">Indicate with "yes" or "no"<br /><br />a) Hot and cold running water?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">b) A flush toilet?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">c) A bathtub or shower?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">d) A sink with a faucet?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">e) A stove or range?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">f) A refrigerator?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">g) Telephone service from which you can both make and receive calls? (Include cell phones)</div><div class="i2">[] Yes<br />[] No</div> <span class="em">Answer questions 1 through 21 for the house, apartment, or mobile home at the address on the mailing label.</span></p> <p>8a. Mark "Yes" to "hot and cold running water" even if the unit has hot water only part of the time.</p> <p>8d. Mark "Yes" to "sink with a faucet" if the sink is inside the house, apartment, or mobile home and the water can be turned on and off with a faucet.</p> <p>8e. Mark "Yes" to "a stove or range" if the stove or range is inside the house, apartment, or mobile home. Portable cooking equipment is not considered a stove or range.</p> <p>8g. Mark "Yes" to "telephone service..." if (1) there is a telephone in working order, and someone receives service at this house, apartment, or mobile home; or (2) if someone has a cell phone from which you can both make and receive calls. If service has been discontinued because of nonpayment or any other reason, mark the "No" box. Puerto Rico 2010: Private households and vacant housing units [discrepancies: none] This variable indicates whether a sink with faucet was available in the household. 0 NIU (not in universe) 1 No, no sink with faucet 2 Yes Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Flag for SINK Puerto Rico 2010: All households This variable is a data quality flag for SINK (sink with faucet). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Stove or range [Questions 7 - 14 were asked of all households.]</p> <p><span class="em">8. Does this house, apartment, or mobile home have:</span><div class="i1">Indicate with "yes" or "no"<br /><br />a) Hot and cold running water?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">b) A flush toilet?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">c) A bathtub or shower?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">d) A sink with a faucet?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">e) A stove or range?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">f) A refrigerator?</div><div class="i2">[] Yes<br />[] No</div><div class="i1">g) Telephone service from which you can both make and receive calls? (Include cell phones)</div><div class="i2">[] Yes<br />[] No</div> <span class="em">Answer questions 1 through 21 for the house, apartment, or mobile home at the address on the mailing label.</span></p> <p>8a. Mark "Yes" to "hot and cold running water" even if the unit has hot water only part of the time.</p> <p>8d. Mark "Yes" to "sink with a faucet" if the sink is inside the house, apartment, or mobile home and the water can be turned on and off with a faucet.</p> <p>8e. Mark "Yes" to "a stove or range" if the stove or range is inside the house, apartment, or mobile home. Portable cooking equipment is not considered a stove or range.</p> <p>8g. Mark "Yes" to "telephone service..." if (1) there is a telephone in working order, and someone receives service at this house, apartment, or mobile home; or (2) if someone has a cell phone from which you can both make and receive calls. If service has been discontinued because of nonpayment or any other reason, mark the "No" box. Puerto Rico 2010: Private households and vacant housing units [discrepancies: none] This variable indicates whether a stove or range was available in the household. 0 NIU (not in universe) 1 No, no stove or range 2 Yes Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Flag for STOVE Puerto Rico 2010: All households This variable is a data quality flag for STOVE (stove or range). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD House value [Questions 16-20 were asked of households if a household member owns the dwelling or is buying one.]</p> <p><span class="em">16. About how much do you think this house and lot, apartment, or mobile home (and lot, if owned) would sell for if it were for sale?</span><div class="i1">Amount in dollars $_ _ _ _ _ _.00</div> <span class="em">Answer questions 1 through 21 for the house, apartment, or mobile home at the address on the mailing label.</span></p> <p>16. Enter your best estimate of the value of the property; that is, how much you think the property would sell for if it were on the market. If this is a house, include the value of the house, the land it is on, and any other structures on the same property. If the house is owned but the land is rented, estimate the combined value of the house and the land. If this is a condominium unit, estimate the value for the condominium, including your share of the common elements. If this is a mobile home, include the value of the mobile home and the value of the land only if you own the land. Puerto Rico 2010: Owner-occupied or vacant-for-sale housing units [discrepancies: none] This variable reports the value of housing units in contemporary dollars. PR2010A_0200 is a 7-digit numeric variable. Codes2904000= 2904000+. 9999999= NIU. Household Economic Variables -- HOUSEHOLD Multigenerational household Puerto Rico 2010: Private households [discrepancies: none] This variable identifies the number of distinct generations contained in each household. 00 NIU (not in universe) 10 1 generation 21 2 adjacent generations, adult-children 22 2 adjacent generations, adult-adult 23 2 nonadjacent generations 31 3+ generations (Census 2008 definition) 32 3+ generations (Additional IPUMS definition) Constructed Household Variables -- HOUSEHOLD Number of bedrooms [Questions 7 - 14 were asked of all households.]</p> <p><span class="em">7. b) How many of these rooms are bedrooms? </span><div class="i1">Count as bedrooms those rooms you would list if this house, apartment, or mobile home were for sale or rent. If this is an efficiency/studio apartment, print "0".<br /><br />Number of bedrooms ____</div> <span class="em">Answer questions 1 through 21 for the house, apartment, or mobile home at the address on the mailing label.</span></p> <p>7b. Include all rooms intended to be used as bedrooms in this house, apartment, or mobile home, even if they are currently being used for other purposes.</p> <p>Print "0" for an efficiency or studio apartment that does not have a separate bedroom. Your response to this question (7b) should be smaller than the number of rooms reported in question 7a. Puerto Rico 2010: Private households and vacant housing units [discrepancies: none] This variable indicates the number of bedrooms in the household. 0 No bedrooms 1 1 2 2 3 3 4 4 5 5 6 6+ 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of rooms [Questions 7 - 14 were asked of all households.]</p> <p><span class="em">7. a) How many separate rooms are in this house, apartment, or mobile home?</span><div class="i1">Rooms must be separated by built-in archways or walls that extend out at least 6 inches and go from floor to ceiling. <br /><br />Include bedrooms, kitchens, etc.<br />Exclude bathrooms, porches, balconies, foyers, halls, or unfinished basements.<br /><br />Number of rooms ____</div> <span class="em">Answer questions 1 through 21 for the house, apartment, or mobile home at the address on the mailing label.</span></p> <p>7b. Include all rooms intended to be used as bedrooms in this house, apartment, or mobile home, even if they are currently being used for other purposes.</p> <p>Print "0" for an efficiency or studio apartment that does not have a separate bedroom. Your response to this question (7b) should be smaller than the number of rooms reported in question 7a. Puerto Rico 2010: Private households and vacant housing units [discrepancies: none] This variable indicates the number of rooms in the household. 00 NIU (not in universe) 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 11 11+ Dwelling Characteristics Variables -- HOUSEHOLD Adjustment factor, ACS/PRCS Puerto Rico 2010: All households This variable provides the adjustment factor for dollar amount variables. 1007624 1007624 Technical Household Variables -- HOUSEHOLD CPI-U adjustment factor to 1999 dollars Puerto Rico 2010: All households The variable provides the CPI-U adjustment factor to covert dollar figures to 1999 dollars. 764 764 Technical Household Variables -- HOUSEHOLD Response mode Puerto Rico 2010: Private households and vacant housing units [discrepancies: none] This variable indicates whether the survey was completed by mail or CATI/CAPI. 0 NIU (not in universe) 1 Mail 2 CATI/CAPI Technical Household Variables -- HOUSEHOLD County (precursor) Puerto Rico 2010: All households This variable indicates the county (precursor). 0 0 7 7 Technical Household Variables -- HOUSEHOLD Puerto Rico county (precursor) Puerto Rico 2010: All households This variable indicates the Puerto Rico county (precursor). 0 0 7 7 Technical Household Variables -- HOUSEHOLD Number of subfamilies in household (original Census Bureau classification) Puerto Rico 2010: Private households [discrepancies: type I none; type II 22.3%] This variable indicates the number of subfamilies in the household (original Census Bureau classification). 0 0 1 1 2 2 3 3 9 NIU (not in universe) Constructed Household Variables -- HOUSEHOLD Household weight Puerto Rico 2010: All households This variable indicates the household weight. This is a 6-digit numeric variable with 2 implied decimal places Technical Household Variables -- HOUSEHOLD Public Use Microdata Area matching MIGPUMA Puerto Rico 2010: All households This is a constructed variable that indicates the PUMA of migration in which an individual resides. 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 Technical Household Variables -- HOUSEHOLD Monthly contract rent Puerto Rico 2010: Vacant-for-rent housing units and private housing units with cash rent [discrepancies: type I 0.2%; type II none] This variable indicates the household's monthly contract rent payment. 0000 NIU (not in universe) 0004 4 0010 10 0020 20 0030 30 0040 40 0050 50 0060 60 0070 70 0090 90 0080 80 0110 110 0100 100 0450 450 0500 500 0200 200 0120 120 0130 130 0140 140 0150 150 0160 160 0170 170 0180 180 0190 190 0210 210 0220 220 0230 230 0240 240 0250 250 0260 260 0270 270 0280 280 0290 290 0300 300 0310 310 0320 320 0330 330 0340 340 0350 350 0360 360 0370 370 0380 380 0390 390 0400 400 0410 410 0420 420 0430 430 0440 440 0460 460 0470 470 0480 480 0490 490 0510 510 0520 520 0530 530 0540 540 0550 550 0560 560 0570 570 0580 580 0590 590 0600 600 0610 610 0620 620 0630 630 0640 640 0650 650 0680 680 0690 690 0700 700 0710 710 0720 720 0730 730 0740 740 0750 750 0760 760 0770 770 0780 780 0800 800 0810 810 0830 830 0840 840 0850 850 0870 870 0880 880 1300 1300+ Household Economic Variables -- HOUSEHOLD Flag for FARMPROD, FARM Puerto Rico 2010: All households This variable is a data quality flag for FARMPROD, FARM (sales of farm products and farm status). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for PLUMBING Puerto Rico 2010: All households This variable is a data quality flag for PLUMBING (plumbing facilities). 0 Not allocated 3 Allocated, assigned 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Second mortgage monthly payment [Questions 16-20 were asked of households if a household member owns the dwelling or is buying one.]</p> <p><span class="em">20. b) How much is the regular monthly payment on all second or junior mortgages and all home equity loans on this property</span>?</p> <div class="i1">Monthly amount in dollars $_ _ _ _ _.00<br /><br /><span class="ital">Or</span><br />[] No regular payment required</div> Puerto Rico 2010: Private households with second mortgage [discrepancies: none] This variable reports the household's second or junior mortgage monthly payment obligations. 0000 NIU (not in universe) 0004 4 0020 20 0090 90 0100 100 0110 110 0120 120 0130 130 0140 140 0150 150 0160 160 0170 170 0180 180 0190 190 0200 200 0210 210 0220 220 0230 230 0240 240 0250 250 0260 260 0270 270 0280 280 0290 290 0300 300 0310 310 0320 320 0330 330 0350 350 0360 360 0370 370 0380 380 0390 390 0400 400 0410 410 0420 420 0440 440 0450 450 0470 470 0490 490 0500 500 0520 520 0530 530 0540 540 0550 550 0560 560 0590 590 0600 600 0620 620 0640 640 0670 670 0690 690 0700 700 0710 710 0720 720 0730 730 0740 740 0750 750 0760 760 0770 770 0780 780 0800 800 0830 830 0860 860 0880 880 0890 890 0900 900 0950 950 0960 960 0990 990 1000 1000 1100 1100 1200 1200 1500 1500 2300 2300+ Household Economic Variables -- HOUSEHOLD Strata Puerto Rico 2010: All households This variable is the strata identifier for the sample. Strata is a constructed variable that captures implicit geographic stratification resulting from the sample design. It is created by assigning a unique identifier to groups of between 10 and 19 adjacent households. Additional documentation is available on the Variance Estimation page. This is a 4-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Person number PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database. PERNUM is a 4-digit numeric variable. Technical Person Variables -- PERSON Person weight PERWT indicates the number of persons in the actual population represented by the person in the sample. For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population. NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Person Variables -- PERSON Mother's location in household MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers. The method by which probable child-mother links are identified is described in PARRULE. The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of MOMLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships. To restrict MOMLOC to biological mothers, such as for own children fertility estimation, MOMLOC should be reset to zero when STEPMOM is greater than zero. MOMLOC is a 3-digit numeric variable. Codes0 = No mother of this person present in the household. 1 or higher = The person number of this person's mother Constructed Family Interrelationship Variables -- PERSON Father's location in household POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers. The method by which probable child-father links are identified is described in PARRULE. The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of POPLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships. To restrict POPLOC to biological mothers, such as for own children fertility estimation, POPLOC should be reset to zero when STEPPOP is greater than zero. POPLOC is a 3-digit numeric variable. Codes0 = No father of this person present in the household. 1 or higher = The person number of this person's father Constructed Family Interrelationship Variables -- PERSON Spouse's location in household SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses. The method by which probable spouse-spouse links are identified is described in SPRULE. The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. For more details on the construction of SPLOC, see the Comparability section of SPRULE and this paper on IPUMSI family linking methodology. SPLOC is a 3-digit numeric variable. Codes0 = No spouse of this person present in the household. 1 or higher = The person number of this person's spouse Constructed Family Interrelationship Variables -- PERSON Rule for linking parent PARRULE describes the criteria by which the IPUMS International variables MOMLOC and POPLOC linked the person to a probable mother and/or father. IPUMS International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. 00 No parent of person in household 11 Link to head or spouse, unambiguous 12 Link to head or spouse, ambiguous 21 Child-Grandchild, within empirical child cap 22 Child-Grandchild, within constructed child cap 23 Child-Grandchild, exceeds child cap 31 Specified Other Relatives, within empirical child cap 32 Specified Other Relatives, within constructed child cap 33 Specified Other Relatives, exceeds child cap 41 Other Relatives, within empirical child cap 42 Other Relatives, within constructed child cap 51 Non-Relatives, within empirical child cap 52 Non-Relatives, within constructed child cap Constructed Family Interrelationship Variables -- PERSON Rule for linking spouse SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse. IPUMS International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. 00 No spouse present 01 Rule 1: strong relationship pairing, couple adjacent 02 Rule 2: strong relationship pairing, couple not adjacent 03 Rule 3: weak relationship pairing, couple adjacent 04 Rule 4: weak relationship pairing, couple not adjacent 05 Rule 5: weak consensual union pairings 06 Rule 6: sample-specific rules (usually child-to-child) Constructed Family Interrelationship Variables -- PERSON Probable stepmother STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household. The codes for STEPMOM are as follows: 0 = Biological mother or no mother of this person present in household. 1 = Mother has no children born or surviving. 2 = Child reports mother is deceased. 3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law). 4 = Mother reports no children in the home. 5 = Age difference between mother and child was less than 12 or greater than 54 years. 6 = Child exceeds known fertility of mother. In cases where more than one criterion for a likely stepmother is met, STEPMOM will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. In cases where a mother is linked to more children than she reports in CHBORN or CHSURV, the determination of which children to flag as probable stepchildren is based first on the strength of the child-mother pairing (see PARRULE), and then on the order of children in the household roster. Since most links to a given mother will be made at the same strength level, order will often be the decisive factor in flagging probable stepmother relationships. Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population. 0 Biological mother or no mother present 1 Mother has no children born or surviving 2 Child reports mother is deceased 3 Explicitly identified step relationship 4 Mother reports no children in the home 5 Age difference implausible 6 Child exceeds known fertility of mother Constructed Family Interrelationship Variables -- PERSON Probable stepfather STEPPOP indicates whether a person's father, as identified by POPLOC, was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household. The codes for STEPPOP are as follows: 0 = Biological father or no father of this person present in household. 1 = Child reports father is deceased. 2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law). 3 = Age difference between father and child was less than 12 or greater than 54 years. In cases where more than one criterion for a likely stepfather is met, STEPPOP will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population. 0 Biological father or no father present 1 Child reports father is deceased 2 Explicitly identified step relationship 3 Age difference implausible 4 Spouse of mother 5 Identified as adopted 6 Surname difference -- male child or never-married female Constructed Family Interrelationship Variables -- PERSON Man with more than one wife linked POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. 0 No more than one wife linked via SPLOC 1 More than one wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Woman is second or higher order wife POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated. The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. 0 Person is not the 2nd or higher order wife linked via SPLOC 1 Person is the 2nd or higher order wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Family unit membership FAMUNIT is a constructed variable indicating to which family within the household a person belongs. All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). FAMUNIT is a 4-digit numeric variable. CodesIf there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on. Constructed Family Interrelationship Variables -- PERSON Number of own family members in household FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them. FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membership). The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). 0001 1 family member present 0002 2 family members present 0003 3 family members present 0004 4 0005 5 0006 6 0007 7 0008 8 0009 9 0010 10 0011 11 0012 12 0013 13 0014 14 0015 15 0016 16 0017 17 0018 18 0019 19 0020 20 0021 21 0022 22 0023 23 0024 24 0025 25 0026 26 0027 27 0028 28 0029 29 0030 30 0031 31 0032 32 0033 33 0034 34 0035 35 0036 36 0037 37 0038 38 0039 39 0040 40 0041 41 0042 42 0043 43 0044 44 0045 45 0046 46 0047 47 0048 48 0049 49 0050 50 0051 51 0052 52 0053 53 0054 54 0055 55 0056 56 0057 57 0058 58 0059 59 0060 60 0061 61 0062 62 0063 63 0064 64 0065 65 0066 66 0067 67 0068 68 0069 69 0070 70 0071 71 0072 72 0073 73 0074 74 0075 75 0076 76 0077 77 0078 78 0079 79 0080 80 0081 81 0082 82 0083 83 0084 84 0085 85 0086 86 0087 87 0088 88 0089 89 0090 90 0091 91 0092 92 0093 93 0094 94 0095 95 0096 96 0097 97 0098 98 0099 99 or more persons Constructed Family Interrelationship Variables -- PERSON Number of own children in household NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more children in household Constructed Family Interrelationship Variables -- PERSON Number of own children under age 5 in household NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more own children under age 5 in household 98 One or more children have unknown age Constructed Family Interrelationship Variables -- PERSON Age of eldest own child in household ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. ELDCH is top-coded at age 50 or older. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Age of youngest own child in household YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. YNGCH is top-coded at age 50 or older. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Relationship to household head [general version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown Demographic Variables -- PERSON Relationship to household head [detailed version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1000 Head 2000 Spouse/partner 2100 Spouse 2200 Unmarried partner 2210 Civil union 2300 Same-sex spouse/partner 3000 Child 3100 Biological child 3200 Adopted child 3300 Stepchild 3400 Child/child-in-law 3500 Child/child-in-law/grandchild 3600 Child of unmarried partner 4000 Other relative 4100 Grandchild 4110 Grandchild or great grandchild 4120 Great grandchild 4130 Great-great grandchild 4200 Parent/parent-in-law 4210 Parent 4211 Stepparent 4220 Parent-in-law 4300 Child-in-law 4301 Daughter-in-law 4302 Spouse/partner of child 4310 Unmarried partner of child 4400 Sibling/sibling-in-law 4410 Sibling 4420 Stepsibling 4430 Sibling-in-law 4431 Sibling of spouse/partner 4432 Spouse/partner of sibling 4500 Grandparent 4510 Great grandparent 4600 Parent/grandparent/ascendant 4700 Aunt/uncle 4800 Other specified relative 4810 Nephew/niece 4820 Cousin 4830 Sibling's sibling-in-law 4900 Other relative, not elsewhere classified 4910 Other relative with same family name 4920 Other relative with different family name 4930 Other relative, not specified (secondary family) 5000 Non-relative 5100 Friend/guest/visitor/partner 5110 Partner/friend 5111 Friend 5112 Partner/roommate 5113 Housemate/roommate 5120 Visitor 5130 Ex-spouse 5140 Godparent 5150 Godchild 5200 Employee 5210 Domestic employee 5220 Relative of employee, n.s. 5221 Spouse of servant 5222 Child of servant 5223 Other relative of servant 5300 Roomer/boarder/lodger/foster child 5310 Boarder 5311 Boarder or guest 5320 Lodger 5330 Foster child 5340 Tutored/foster child 5350 Tutored child 5400 Employee, boarder, or guest 5500 Other specified non-relative 5510 Agregado 5520 Temporary resident, guest 5600 Group quarters 5610 Group quarters, non-inmates 5620 Institutional inmates 5900 Non-relative, n.e.c. 6000 Other relative or non-relative 9999 Unknown Demographic Variables -- PERSON Age AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. 000 Less than 1 year 001 1 year 002 2 years 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100+ 999 Not reported/missing Demographic Variables -- PERSON Age, grouped into intervals AGE2 gives computed years of age grouped into intervals. 01 0 to 4 02 5 to 9 03 10 to 14 04 15 to 19 05 0 to 5 06 6 to 10 07 10 to 15 08 11 to 14 09 15 to 17 10 16 to 19 11 18 to 24 12 20 to 24 13 25 to 29 14 30 to 34 15 35 to 39 16 40 to 44 17 45 to 49 18 50 to 54 19 55 to 59 20 60 to 64 21 65 to 69 22 70 to 74 23 75 to 79 24 80 to 84 25 85+ 98 Unknown Demographic Variables -- PERSON Sex SEX reports the sex (gender) of the respondent. 1 Male 2 Female 9 Unknown Demographic Variables -- PERSON Marital status [general version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 0 NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing Demographic Variables -- PERSON Marital status [detailed version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 000 NIU (not in universe) 100 Single/never married 110 Engaged 111 Never married and never cohabited 200 Married or consensual union 210 Married, formally 211 Married, civil 212 Married, religious 213 Married, civil and religious 214 Married, civil or religious 215 Married, traditional/customary 216 Married, monogamous 217 Married, polygamous 219 Married, spouse absent (historical samples) 220 Consensual union 300 Separated/divorced/spouse absent 310 Separated or divorced 320 Separated or annulled 330 Separated 331 Separated legally 332 Separated de facto 333 Separated from marriage 334 Separated from consensual union 335 Separated from consensual union or marriage 340 Annulled 350 Divorced 400 Widowed 410 Widowed or divorced 411 Widowed from consensual union or marriage 412 Widowed from marriage 413 Widowed from consensual union 420 Widowed, divorced, or separated 999 Unknown/missing Demographic Variables -- PERSON Duration of current marriage or union DURMARR reports the duration of the respondent's current marriage or union, or, in some cases, the total years spent within marriage. 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+ 98 Unknown 99 NIU (not in universe) Demographic Variables -- PERSON Year of first marriage MARRYR reports the year of first marriage. 1887 1887 1888 1888 1889 1889 1890 1890 1891 1891 1892 1892 1893 1893 1894 1894 1895 1895 1896 1896 1897 1897 1898 1898 1899 1899 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 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 1988 1988 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 9998 Unknown 9999 NIU (not in universe) Demographic Variables -- PERSON Number of marriages or unions MARRNUM records the number of marital unions the respondent has ever been in. 0 NIU (not in universe) 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8+ 9 Unknown Demographic Variables -- PERSON Relationship to head of subfamily SUBFREL describes the relationship of the individual to the head of the subfamily (in most cases, conjugal unit). It is distinct from RELATE, which identifies a person's relationship to the head of the household. There can be multiple subfamilies within households. The particular subfamily to which a person belongs is recorded in SUBFNUM. Persons living alone without other family are identified as "heads" of family. 1000 Head 2000 Spouse/partner 2100 Spouse 2200 Unmarried partner 3000 Child 3100 Biological child 3200 Adopted or step child 4000 Other relative 4100 Grandchild 4200 Parent/parent-in-law 4210 Parent 4220 Parent-in-law 4300 Child-in-law 4400 Sibling/sibling-in-law 4410 Sibling 4430 Sibling-in-law 4500 Grandparent 4600 Parent/grandparent 4810 Nephew/niece 4900 Other relative, n.e.c. 5000 Non-relative 5120 Visitor 5210 Domestic employee 5220 Relative of employee, n.s. 5300 Roomer/boarder/lodger/foster child 5310 Boarder 5311 Boarder or guest 5400 Employee, boarder or guest 5510 Agregado 5600 Group quarters 6000 Other relative or non-relative 9998 Unknown 9999 NIU (not in universe) Demographic Variables -- PERSON Subfamily membership number SUBFNUM gives the number of the subfamily to which the person belongs within the household (1 = first subfamily, 2 = second subfamily, etc.). SUBFNUM records the identification of subfamilies in the original dataset, which generally correspond to conjugal units and their offspring. 0000 Non-family or sub-family not identified 0001 1st subfamily 0002 2nd subfamily 0003 3rd subfamily 0004 4th subfamily 0005 5th subfamily 0006 6th subfamily 0007 7th subfamily 0008 8th subfamily 0009 9th subfamily 0010 10th subfamily 0011 11th subfamily 0012 12th subfamily 0013 13th subfamily 0099 Unknown Demographic Variables -- PERSON Year of birth BIRTHYR gives the person's year of birth. 0000 NIU (not in universe) 1628 1628 1629 1629 1630 1630 1631 1631 1634 1634 1635 1635 1636 1636 1637 1637 1638 1638 1639 1639 1640 1640 1641 1641 1642 1642 1643 1643 1644 1644 1645 1645 1646 1646 1647 1647 1648 1648 1649 1649 1650 1650 1651 1651 1652 1652 1653 1653 1654 1654 1655 1655 1656 1656 1657 1657 1658 1658 1659 1659 1660 1660 1661 1661 1662 1662 1663 1663 1664 1664 1665 1665 1666 1666 1667 1667 1668 1668 1669 1669 1670 1670 1671 1671 1672 1672 1673 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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 1988 1988 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 9999 Unknown Demographic Variables -- PERSON Number of births last year BIRTHSLYR indicates whether any -- and in most cases how many -- children were born to a woman in the past twelve months. 0 None 1 1 (1 or more) 2 2 3 3 4 4+ 8 Unknown 9 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 Citizenship CITIZEN indicates the person's citizenship status within the country in which they were enumerated. 1 Citizen, not specified 2 Citizen by birth 3 Naturalized citizen 4 Not a citizen 5 Without citizenship, stateless 8 Unknown 9 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Year of immigration YRIMM indicates the calendar year that a foreign-born person came to live in the country in which they were enumerated. 0000 NIU (not in universe) 1790 1790 1800 1800 1801 1801 1802 1802 1803 1803 1804 1804 1805 1805 1806 1806 1807 1807 1808 1808 1809 1809 1810 1810 1811 1811 1812 1812 1813 1813 1814 1814 1815 1815 1816 1816 1817 1817 1818 1818 1819 1819 1820 1820 1821 1821 1822 1822 1823 1823 1824 1824 1825 1825 1826 1826 1827 1827 1828 1828 1829 1829 1830 1830 1831 1831 1832 1832 1833 1833 1834 1834 1835 1835 1836 1836 1837 1837 1838 1838 1839 1839 1840 1840 1841 1841 1842 1842 1843 1843 1844 1844 1845 1845 1846 1846 1847 1847 1848 1848 1849 1849 1850 1850 1851 1851 1852 1852 1853 1853 1854 1854 1855 1855 1856 1856 1857 1857 1858 1858 1859 1859 1860 1860 1861 1861 1862 1862 1863 1863 1864 1864 1865 1865 1866 1866 1867 1867 1868 1868 1869 1869 1870 1870 1871 1871 1872 1872 1873 1873 1874 1874 1875 1875 1876 1876 1877 1877 1878 1878 1879 1879 1880 1880 1881 1881 1882 1882 1883 1883 1884 1884 1885 1885 1886 1886 1887 1887 1888 1888 1889 1889 1890 1890 1891 1891 1892 1892 1893 1893 1894 1894 1895 1895 1896 1896 1897 1897 1898 1898 1899 1899 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 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 1988 1988 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 9998 In transit 9999 Unknown Nativity and Birthplace Variables -- PERSON Years since immigrated YRSIMM indicates the number of years since a foreign-born person immigrated to their country of enumeration. 00 0 (within previous year) 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97+ 98 Unknown 99 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Years since immigrated, categorized YRSIMM2 indicates the number of years since a foreign-born person immigrated to the country. The number of years is grouped into intervals. 1 Less than 1 year 2 1 to 4 years 3 5 to 9 years 4 10 or more years 8 Unknown 9 NIU (not in universe) 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 Race or color Race identifies the racial group with which a person identified himself or herself, or to which an enumerator assigned them. Determinations of race are based largely on appearance or ancestral place of origin. 10 White 20 Black 21 Black African 22 Black Caribbean 23 Afro-Ecuadorian 24 Other Black 30 Indigenous 31 American Indian 32 Latin American Indian 40 Asian 41 Chinese 42 Japanese 43 Korean 44 Vietnamese 45 Filipino 46 Indian 47 Pakistani 48 Bangladeshi 49 Other Asian 50 Mixed race 51 Brown (Brazil) 52 Mestizo (Indigenous and White) 53 Mulatto (Black and White) 54 Coloured (South Africa) 56 Afro-Indigenous 55 Two or more races 60 Other 61 Montubio (Ecuador) 99 Unknown Ethnicity and Language Variables -- PERSON Ancestry, U.S. and Puerto Rico ANCEST identifies the person's self-reported ancestry or ethnic origin in the United States and Puerto Rico. 001 Alsatian 002 Andorran 003 Austrian 004 Tirolean 005 Basque 006 French Basque 008 Belgian 009 Flemish 010 Walloon 011 British 012 British Isles 013 Channel Islander 014 Gibraltan 015 Cornish 016 Corsican 017 Cypriot 018 Greek Cypriote 019 Turkish Cypriote 020 Danish 021 Dutch 022 English 023 Faeroe Islander 024 Finnish 025 Karelian 026 French 027 Lorrainian 028 Breton 029 Frisian 030 Friulian 032 German (1980) 033 Bavarian 034 Berliner 035 Hamburger 036 Hanoverian 037 Hessian 038 Lubecker 039 Pomeranian (1980) 040 Prussian 041 Saxon 042 Sudetenlander 043 Westphalian 046 Greek 047 Cretan 048 Cycladic Islander 049 Icelander 050 Irish 051 Italian (1980) 053 Abruzzi 054 Apulian 055 Basilicata 056 Calabrian 057 Amalfi 058 Emilia Romagna 059 Rome 060 Ligurian 061 Lombardian 062 Marches 063 Molise 064 Neapolitan 065 Piedmontese 066 Puglia 067 Sardinian 068 Sicilian 069 Tuscan 070 Trentino 071 Umbrian 072 Valle d"Aosta 073 Venetian 075 Lapp 076 Liechtensteiner 077 Luxemburger 078 Maltese 079 Manx 080 Monegasque 081 Northern Irelander 082 Norwegian 084 Portuguese 085 Azorean 086 Madeiran 087 Scotch Irish (1990) 088 Scottish 089 Swedish 090 Aland Islander 091 Swiss 092 Suisse (1980) 095 Romansch (1980) 096 Suisse Romane (1990) 097 Welsh 098 Scandinavian, Nordic 100 Albanian 101 Azerbaijani 102 Belorussian 103 Bulgarian 105 Carpathian 108 Cossack (1990) 109 Croatian 111 Czechoslovakian 112 Bohemian 115 Estonian 116 Livonian 117 Finno Ugrian (1990) 118 Mordovian 119 Voytak 120 Georgian (1980) 122 Germans from Russia: 123 Gruziia (1990) 124 Rom 125 Hungarian 126 Magyar 128 Latvian 129 Lithuanian 130 Macedonian 132 North Caucasian (1990) 133 North Caucasian Turkic (1990) 140 Ossetian 142 Polish 143 Kashubian 144 Romanian (1990) 145 Bessarabian (1980) 146 Moldavian 147 Wallachian 148 Russian 150 Muscovite 152 Serbian (1980) 153 Slovak 154 Slovene 155 Sorb/Wend 156 Soviet Turkic (1990) 157 Bashkir 158 Chevash 159 Gagauz (1990) 160 Mesknetian (1990) 163 Yakut 164 Soviet Union, n.e.c. (1990) 165 Tatar (1990) 169 Uzbek 171 Ukrainian (1980) 176 Yugoslavian 178 Slav 179 Slavonian (1990) 181 Central European, n.e.c. 183 Northern European, n.e.c. 185 Southern European, n.e.c. 187 Western European, n.e.c. 190 Eastern European, n.e.c. 195 European, n.e.c. 200 Spaniard (1980) 201 Andalusian (1990) 202 Asturian (1990) 204 Catalonian 205 Balearic Islander (1980) 206 Galician (1980) 210 Mexican (1980) 211 Mexican American 213 Chicano/Chicana 218 Nuevo Mexicano (1980) 219 Californio 221 Costa Rican 222 Guatemalan 223 Honduran 224 Nicaraguan 225 Panamanian (1980) 226 Salvadoran 227 Latin American (1980) 231 Argentinean 232 Bolivian 233 Chilean 234 Colombian 235 Ecuadorian 236 Paraguayan 237 Peruvian 238 Uruguayan 239 Venezuelan 248 South American (1980) 261 Puerto Rican 271 Cuban 275 Dominican 290 Hispanic 291 Spanish 295 Spanish American 296 Other Spanish/Hispanic 300 Bahamian 301 Barbadian 302 Belizean 303 Bermudan 304 Cayman Islander 308 Jamaican 310 Dutch West Indies 311 Aruba Islander 312 St. Maarten Islander 314 Trinidadian/Tobagonian 315 Trinidadian 316 Tobagonian 317 U.S. Virgin Islander (1980) 321 British Virgin Islander(1980) 322 British West Indian 323 Turks and Caicos Islander 324 Anguilla Islander (1980) 328 Dominica Islander 329 Grenadian 331 St. Lucia Islander 332 French West Indies 333 Guadeloupe Islander 334 Cayenne 335 West Indian (1990) 336 Haitian 337 Other West Indian 360 Brazilian 365 San Andres 370 Guyanese/British Guiana 375 Providencia 380 Surinam/Dutch Guiana 400 Algerian 402 Egyptian 404 Libyan 406 Moroccan (1990) 407 Ifni 408 Tunisian 411 North African 412 Alhucemas 413 Berber 414 Rio de Oro 415 Bahraini 416 Iranian 417 Iraqi 419 Israeli 421 Jordanian 422 Transjordan 423 Kuwaiti 425 Lebanese 427 Saudi Arabian 429 Syrian (1990) 431 Armenian 434 Turkish 435 Yemeni 436 Omani 437 Muscat 438 Trucial Oman 439 Qatar 441 Bedouin 442 Kurdish 444 Kuria Muria Islander 465 Palestinian 466 Gazan 467 West Bank 470 South Yemeni 471 Aden 480 United Arab Emirates 482 Assyrian/Chaldean/Syriac 490 Middle Eastern 495 Arab 496 Other Arab 500 Angolan 502 Benin 504 Botswana 506 Burundian 508 Cameroonian 510 Cape Verdean 512 Central African Republic 513 Chadian 515 Congolese 516 Congo-Brazzaville 519 Djibouti 520 Equatorial Guinea 521 Corsico Islander 522 Ethiopian 523 Eritrean 525 Gabonese 527 Gambian 529 Ghanian 530 Guinean 531 Guinea Bissau 532 Ivory Coast 534 Kenyan 538 Lesotho 541 Liberian 543 Madagascan 545 Malawian (1990) 546 Malian 547 Mauritanian 549 Mozambican 550 Namibian 551 Niger 553 Nigerian 554 Fulani 555 Hausa 556 Ibo 557 Tiv (1980) 561 Rwandan 564 Senegalese 566 Sierra Leonean 568 Somalian 569 Swaziland 570 South African 571 Union of South Africa 572 Afrikaner 573 Natalian 574 Zulu 576 Sudanese 577 Dinka 578 Nuer 579 Fur 580 Baggara 582 Tanzanian 583 Tanganyikan 584 Zanzibar Islande 586 Togo 588 Ugandan 589 Upper Voltan 590 Volta 591 Zairian 592 Zambian 593 Zimbabwean 594 African Islands (1980) 595 Other Subsaharan Africa 596 Central African 597 East African 598 West African 599 African 600 Afghan 601 Baluchi 602 Pathan 603 Bengali (1980) 607 Bhutanese 609 Nepali 615 Asian Indian (1980) 622 Andaman Islander 624 Andhra Pradesh 626 Assamese 628 Goanese 630 Gujarati 632 Karnatakan 634 Keralan 638 Maharashtran 640 Madrasi 642 Mysore 644 Naga 648 Pondicherry 650 Punjabi 656 Tamil 675 East Indies (1990) 680 Pakistani (1980) 690 Sri Lankan 691 Singhalese 692 Veddah 695 Maldivian 700 Burmese (1990) 702 Shan 703 Cambodian 704 Khmer 706 Chinese 707 Cantonese (1980) 708 Manchurian 709 Mandarin (1990) 712 Mongolian (1980) 714 Tibetan 716 Hong Kong (1990) 718 Macao 720 Filipino 730 Indonesian (1980) 740 Japanese (1980) 746 Ryukyu Islander 748 Okinawan 750 Korean 765 Laotian 766 Meo 768 Hmong 770 Malaysian (1980) 774 Singaporean 776 Thai 777 Black Thai 778 Western Lao 782 Taiwanese 785 Vietnamese 786 Katu 787 Ma 788 Mnong 790 Montagnard 792 Indochinese 793 Eurasian 795 Asian 796 Other Asian 800 Australian 801 Tasmanian 802 Australian Aborigine (1990) 803 New Zealander 808 Polynesian (1990) 809 Kapinagamarangan (1990) 810 Maori 811 Hawaiian 813 Part Hawaiian 814 Samoan (1990) 815 Tongan 816 Tokelauan 817 Cook Islander 818 Tahitian 819 Niuean 820 Micronesian (1990) 821 Guamanian 822 Chamorro Islander 823 Saipanese (1990) 824 Palauan 825 Marshall Islander 826 Kosraean 827 Ponapean (1990) 828 Chuukese (1990) 829 Yap Islander 830 Caroline Islander (1990) 831 Kiribatese 832 Nauruan 833 Tarawa Islander (1990) 834 Tinian Islander (1990) 840 Melanesian Islander 841 Fijian 843 New Guinean 844 Papuan 845 Solomon Islander 846 New Caledonian Islander 847 Vanuatuan 850 Pacific Islander (1990) 860 Oceania 862 Chamolinian (1990) 863 Reserved Codes 870 Other Pacific 900 Afro-American (1980) 902 African-American (1990) 913 Central American Indian (1990) 914 South American Indian (1990) 920 American Indian (all tribes) 921 Aleut 922 Eskimo 923 Inuit 924 White/Caucasian (1980) 930 Greenlander 931 Canadian 933 Newfoundland 934 Nova Scotian 935 French Canadian 936 Acadian (1980) 939 American 940 United States 941 Alabama 942 Alaska 943 Arizona 944 Arkansas 945 California 946 Colorado 947 Connecticut 948 District of Columbia 949 Delaware 950 Florida 951 Georgia 952 Idaho 953 Illinois 954 Indiana 955 Iowa 956 Kansas 957 Kentucky 958 Louisiana 959 Maine 960 Maryland 961 Massachusetts 962 Michigan 963 Minnesota 964 Mississippi 965 Missouri 966 Montana 967 Nebraska 968 Nevada 969 New Hampshire 970 New Jersey 971 New Mexico 972 New York 973 North Carolina 974 North Dakota 975 Ohio 976 Oklahoma 977 Oregon 978 Pennsylvania 979 Rhode Island 980 South Carolina 981 South Dakota 982 Tennessee 983 Texas 984 Utah 985 Vermont 986 Virginia 987 Washington 988 West Virginia 989 Wisconsin 990 Wyoming 993 Southerner 994 North American 995 Mixture 996 Uncodable 997 Deferred cases 998 Other 999 Not reported Ethnicity and Language Variables -- PERSON Hispanic origin, U.S. and Puerto Rico HISPAN identifies and classifies persons of Hispanic origin in the United States and Puerto Rico. 000 Not hispanic 100 Mexican 101 Mexican, n.e.c. 102 Mexican American 103 Mexicano/Mexicana 104 Chicano/Chicana 105 La Raza 106 Mexican American Indian 107 Mexico 200 Puerto Rican 300 Cuban 400 Other Spanish, 1980 410 Central/South American, 1970 411 Costa Rican 412 Guatemalan 413 Honduran 414 Nicaraguan 415 Panamanian 416 Salvadoran 417 Central American 418 Central American Indian 419 Canal Zone 420 Argentinean 421 Bolivian 422 Chilean 423 Colombian 424 Ecuadorian 425 Paraguayan 426 Peruvian 427 Uruguayan 428 Venezuelan 429 South American Indian 430 Criollo 431 South American 440 Other Spanish, 1970 450 Spaniard 451 Andalusian 452 Asturian 453 Castillian 454 Catalonian 455 Balearic Islander 456 Gallego 457 Valencian 458 Canarian 459 Spanish Basque 460 Dominican 465 Latin American 470 Hispanic 480 Spanish 490 Californio 491 Tejano 492 Nuevo Mexicano 493 Spanish American 494 Spanish American Indian 495 Meso American Indian 496 Mestizo 497 Other Spanish, Hispanic, Latino 498 Not specified (FOSDIC) 499 Not classified 999 Not reported Ethnicity and Language 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 Language spoken at home, Puerto Rico LANGPR describes the language that the respondent speaks at home in Puerto Rico. 000 NIU (not in universe) 001 English 008 German 011 Yiddish, Jewish 016 Danish 020 Italian 022 French 024 Patois 025 French or Haitian Creole 026 Cajun 027 Spanish 032 Portuguese 033 Rumanian 037 Greek 043 Polish 051 Lettish 056 Persian, Iranian, Farssi 062 Hindi 063 Sanskrit 081 Other Indo-European languages 087 Turkish 110 Chinese 112 Mandarin 124 Thai 126 Japanese 127 Korean 128 Vietnamese 146 Filipino, Tagalog 150 Llocano, Hocano 157 Chamorro, Guamanian 180 Arabic 195 Swahili 251 Navajo 340 Other specified American Indian languages 998 Other n.e.c. Ethnicity and Language Variables -- PERSON Language spoken at home, United States This variable indicates the language that the respondent speaks at home in the United States and Puerto Rico. 000 NIU (not in universe) 001 English 002 Jamaican Creole 003 Krio, Pidgin Krio 004 Hawaiian Pidgin 005 Pidgin 006 Gullah, Geechee 007 Saramacca 008 German 009 Swiss 010 Luxembourgian 011 Pennsylvania Dutch 012 Yiddish, Jewish 013 Dutch 014 Afrikaans 015 Frisian 016 Swedish 017 Danish 018 Norwegian 019 Icelandic 020 Faroese 021 Italian 022 Rhaeto-Romanic, Ladin 023 French 024 Provencal 025 Patois 026 French or Haitian Creole 027 Cajun 028 Spanish 029 Catalonian, Valencian 030 Ladino, Sefaradit, Spanol 031 Pachuco 032 Papia Mentae 033 Portuguese 034 Cape Verdean Creole 035 Rumanian 036 Irish Gaelic, Gaelic 037 Scottish Gaelic 038 Welsh 039 Greek 040 Albanian 041 Russian 042 Bielo-, White Russian, Belarusian 043 Ukrainian, Ruthenian, Little Russian 044 Czech 045 Polish 046 Kashubian, Slovincian 047 Slovak 048 Serbo-Croatian, Yugoslavian, Slavonian 049 Croatian 050 Serbian 051 Bosnian 052 Slovene 053 Lithuanian 054 Lettish, Latvian 055 Bulgarian 056 Lusatian, Sorbian, Wendish 057 Macedonian 058 Armenian 059 Persian, Iranian, Farssi 060 Dari 061 Pashto, Afghan 062 Kurdish 063 Balochi 064 Tadzhik 065 Ossete 066 Hindi 067 Sanskrit 068 Urdu 069 Bengali 070 Panjabi 071 Marathi 072 Gujarathi 073 Bihari 074 Rajasthani 075 Oriya 076 Assamese 077 Kashmiri 078 Sindhi 079 Maldivian 080 Sinhalese 081 Kannada 082 India n.e.c. 083 Pakistan n.e.c. 084 Other Indo-Iranian languages 085 Other Indo-European languages 086 Estonian 087 Romany, Gypsy 088 Finnish 089 Magyar, Hungarian 090 Lapp, Inari, Kola, Lule, Pite, Ruija, Skolt, Um 091 Other Uralic 092 Turkish 093 Kirghiz 094 Chuvash 095 Karakalpak 096 Kazakh 097 Karachay, Tatar, Balkar, Bashkir, Kumyk 098 Uzbek, Uighur 099 Azerbaijani 100 Mongolian 101 Tungus 102 Caucasian, Georgian, Avar 103 Basque 104 Dravidian 105 Brahui 106 Gondi 107 Telugu 108 Malayalam 109 Tamil 110 Bhili 111 Nepali 112 Kurukh 113 Munda 114 Burushaski 115 Chinese 116 Cantonese 117 Mandarin 118 Hakka, Fukien, K'echia 119 Kan, Nan Chang 120 Fuchow, Min Pei 121 Wu 122 Chinese, Cantonese, Min, Yueh 123 Tibetan 124 Hsiang, Chansa, Hunan, Iyan 125 Miao-Yao, Mien 126 Miao, Hmong 127 Iu Mien 128 Burmese, Lisu, Lolo 129 Karen 130 Chin languages 131 Kachin 132 Thai 133 Laotian 134 Japanese 135 Korean 136 Vietnamese 137 Ainu 138 Mon-Khmer, Cambodian 139 Yukagir 140 Muong 141 Indonesian 142 Buginese 143 Achinese 144 Balinese 145 Madurese 146 Cham 147 Malay 148 Minangkabau 149 Other Asian languages 150 Formosan, Taiwanese 151 Javanese 152 Malagasy 153 Sundanese 154 Other Malayan 155 Filipino, Tagalog 156 Bisayan 157 Sebuano 158 Pangasinan 159 Llocano, Hocano 160 Bikol 161 Pampangan 162 Gorontalo 163 Palau 164 Micronesian 165 Carolinian 166 Chamorro, Guamanian 167 Gilbertese 168 Kusaiean 169 Marshallese 170 Mokilese 171 Nauruan 172 Ponapean 173 Trukese 174 Ulithean, Fais 175 Woleai-Ulithi 176 Yapese 177 Melanesian 178 Polynesian 179 Samoan 180 Tongan 181 Other Pacific Island languages 182 Tokelauan 183 Fijian 184 Marquesan 185 Rarotongan 186 Maori 187 Nukuoro, Kapingarangan 188 Hawaiian 189 Arabic 190 Syriac, Aramaic, Chaldean 191 Near East Arabic dialect 192 Hebrew, Israeli 193 Amharic, Ethiopian, etc. 194 Berber 195 Chadic, Hamitic, Hausa 196 Cushite, Beja, Somali 197 Other Afro-Asiatic languages 198 Nilotic 199 Nilo-Hamitic 200 Nubian 201 Saharan 202 Nilo-Saharan, Fur, Songhai 203 Khoisan 204 Sudanic 205 Bantu (many subheads) 206 Swahili 207 Mande 208 Fulani 209 Gur 210 Kru 211 Efik, Ibibio, Tiv 212 Mbum, Gbaya, Sango, Zande 213 Niger-Congo regions (many subheads) 214 Other specified African languages 215 African, n.s. 216 Aleut, Eskimo 217 Apache 218 Other Algonquin languages 219 Inupik, Innuit 220 St Lawrence Isl Yupik 221 Yupik 222 Algonquian 223 Arapaho 224 Atsina, Gros Ventre 225 Blackfoot 226 Cheyenne 227 Cree 228 Delaware, Lenni-Lenape 229 Fox, Sac 230 Kickapoo 231 Menomini 232 Metis, French Cree 233 Miami 234 Micmac 235 Ojibwa, Chippewa 236 Ottawa 237 Passamaquoddy, Malecite 238 Penobscot 239 Potawatomi 240 Shawnee 241 Salish, Flathead 242 Clallam 243 Coeur d'Alene, Skitsamish 244 Columbia, Chelan, Wenatchee 245 Nootsack 246 Okanogan 247 Puget Sound Salish 248 Kalispel 249 Spokane 250 Athapascan 251 Han 252 Koyukon 253 Kuchin 254 Tanaina 255 Chasta Costa, Chetco, Coquille, Smith River Ath 256 Hupa 257 Apache 258 Jicarilla, Lipan 259 Chiricahua, Mescalero 260 San Carlos, Cibecue, White Mountain 261 Kiowa-Apache 262 Kiowa 263 Navajo 264 Klamath, Modoc 265 Nez Perce 266 Sahaptian, Celilo, Klikitat, Palouse, Tenino, U 267 Mountain Maidu, Maidu 268 Sierra Miwok, Miwok 269 Wintun 270 Foothill North Yokuts 271 Tachi 272 Siuslaw, Coos, Lower Umpqua 273 Tsimshian 274 Upper Chinook, Clackamas, Multnomah, Wasco, Wis 275 Chinook Jargon 276 Zuni 277 Yuman 278 Cocomaricopa 279 Mohave 280 Diegueno 281 Delta River Yuman 282 Havasupai 283 Walapai 284 Yavapai 285 Achumawi 286 Karok 287 Pomo 288 Washo 289 Crow, Absaroke 290 Hidatsa 291 Mandan 292 Dakota, Lakota, Nakota, Sioux 293 Chiwere 294 Winnebago 295 Omaha 296 Osage 297 Ponca 298 Alabama 299 Choctaw, Chickasaw 300 Mikasuki 301 Koasati 302 Muskogee, Creek, Seminole 303 Keres 304 Iroquoian 305 Mohawk 306 Oneida 307 Onondaga 308 Cayuga 309 Seneca 310 Tuscarora 311 Cherokee 312 Yupik 313 Algonquian 314 Choctaw, Chickasaw 315 Caddoan 316 Arikara 317 Pawnee 318 Wichita 319 Comanche 320 Mono, Owens Valley Paiute 321 Paiute 322 Chemehuevi 323 Ute 324 Shoshoni 325 Hopi 326 Cahuilla 327 Luiseno 328 Pima, Papago 329 Yaqui 330 Aztecan, Mexicano, Nahua 331 Picuris, Northern Tiwa, Taos 332 Tiwa, Isleta 333 Sandia 334 Tewa, Hano, Hopi-Tewa, San Ildefonso, San Juan, 335 Towa 336 Yurok 337 Makah 338 Kutenai 339 Haida 340 Tlingit, Chilkat, Sitka, Tongass, Yakutat 341 Yuchi 342 Misumalpan 343 Mayan languages 344 Tarascan 345 Mapuche 346 Oto-Manguen 347 Quechua 348 Arawakian 349 Chibchan 350 Tupi-Guarani 351 American Indian, ns 352 Other specified American Indian languages 353 South/Central American Indian 998 Other not elsewhere classified 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 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 Activity status (employment status) [general version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 0 NIU (not in universe) 1 Employed 2 Unemployed 3 Inactive 9 Unknown/missing Work Variables -- PERSON Activity status (employment status) [detailed version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 000 NIU (not in universe) 100 Employed, not specified 110 At work 111 At work, and 'student' 112 At work, and 'housework' 113 At work, and 'seeking work' 114 At work, and 'retired' 115 At work, and 'no work' 116 At work, and other situation 117 At work, family holding, not specified 118 At work, family holding, not agricultural 119 At work, family holding, agricultural 120 Have job, not at work in reference period 130 Armed forces 131 Armed forces, at work 132 Armed forces, not at work in reference period 133 Military trainee 140 Marginally employed 200 Unemployed, not specified 201 Unemployed 6 or more months 202 Worked fewer than 6 months, permanent job 203 Worked fewer than 6 months, temporary job 210 Unemployed, experienced worker 220 Unemployed, new worker 230 No work available 240 Inactive unemployed 300 Inactive (not in labor force) 301 Unavailable jobseekers 302 Available potential jobseekers 310 Housework 320 Health reasons, unable to work, or disabled 321 Permanent disability 322 Temporary illness 323 Disabled or imprisoned 330 In school 340 Retirees and living on rent 341 Living on rents 342 Living on rents or pension 343 Retirees/pensioners 344 Retired 345 Pensioner 346 Non-retirement pension 347 Disability pension 348 Retired without benefits 350 Elderly 351 Elderly or disabled 360 Institutionalized 361 Prisoner 370 Intermittent worker 371 Not working, seasonal worker 372 Not working, occasional worker 380 Other income recipient 390 Inactive, other reasons 391 Too young to work 392 Dependent 999 Unknown/missing Work Variables -- PERSON Labor force participation LABFORCE is a dichotomous variable identifying whether a person participated in the labor force. Labor force participation generally means working or seeking work within a specified reference period. For most samples LABFORCE is a recode of EMPSTAT (employment status). A consistent lower age universe of 15 or older has been applied to increase comparability across samples. Full detail is retained in EMPSTAT, which should be used for any study of child labor. 1 No, not in the labor force 2 Yes, in the labor force 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Occupation, ISCO general OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money. 01 Legislators, senior officials and managers 02 Professionals 03 Technicians and associate professionals 04 Clerks 05 Service workers and shop and market sales 06 Skilled agricultural and fishery workers 07 Crafts and related trades workers 08 Plant and machine operators and assemblers 09 Elementary occupations 10 Armed forces 11 Other occupations, unspecified or n.e.c. 97 Response suppressed 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Occupation, unrecoded OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census. To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses. OCC is a 4-digit numeric variable. Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Argentina 1970 - see Variable: AR1970A_OCC3 - Occupation [3 digit] Argentina 1980 - see Variable: AR1980A_OCC - Occupation Argentina 1991 - see Variable: AR1991A_OCC - Occupation Argentina 2001 - see Variable: AR2001A_OCC4 - Occupation (4-digits) Armenia 2011 - see Variable: AM2011A_OCC - Occupation Austria 1971 - see Variable: AT1971A_OCCSM - Occupation of supporter: sub-major groups Austria 1981 - see Variable: AT1981A_OCCSM - Occupation of supporter: sub-major groups Austria 1991 - see Variable: AT1991A_OCCSM - Occupation of supporter: sub-major groups Austria 2001 - see Variable: AT2001A_OCCSM - Occupation of supporter: sub-major groups Belarus 1999 - see Variable: BY1999A_OCC2 - Occupation, 2 digits Belarus 2009 - see Variable: BY2009A_OCC - Occupation Benin 1979 - see Variable: BJ1979A_OCC - Occupation (2-digits) Benin 1992 - see Variable: BJ1992A_OCC3 - Occupation (3-digits) Benin 2002 - see Variable: BJ2002A_OCC - Occupation (3-digits) Benin 2013 - see Variable: BJ2013A_OCC - Occupation (3-digit) Bolivia 1976 - see Variable: BO1976A_OCC2 - Occupation, 2 digits Bolivia 1992 - see Variable: BO1992A_OCC - Occupation Bolivia 2001 - see Variable: BO2001A_OCC - Occupation, 3 digits Bolivia 2012 - see Variable: BO2012A_OCC2 - Occupation (3 digit) Botswana 1981 - see Variable: BW1981A_OCC - Occupation Botswana 1991 - see Variable: BW1991A_OCC - Occupation (last 30 days) Botswana 2001 - see Variable: BW2001A_OCC - Occupation in the past 7 days, 3 digit Botswana 2011 - see Variable: BW2011A_OCC - Occupation, 3-digits Brazil 1960 - see Variable: BR1960A_USUALOCC - Usual occupation Brazil 1970 - see Variable: BR1970A_MAINOCC - Principal occupation Brazil 1980 - see Variable: BR1980A_OCC - Occupation Brazil 1991 - see Variable: BR1991A_OCC - Occupation Brazil 2000 - see Variable: BR2000A_OCC - Occupation, 4 digits Brazil 2010 - see Variable: BR2010A_OCC - Occupation held from July 25 to July 31, 2010 Burkina Faso 1985 - see Variable: BF1985A_OCC - Principal occupation Burkina Faso 1996 - see Variable: BF1996A_OCC - Principal occupation Cambodia 1998 - see Variable: KH1998A_OCC - Occupation Cambodia 2004 - see Variable: KH2004A_OCC3 - Occupation (3-digits) Cambodia 2008 - see Variable: KH2008A_OCC - Occupation Cambodia 2013 - see Variable: KH2013A_OCC - Occupation (3-digits) Cambodia 2019 - see Variable: KH2019A_OCC1 - Occupation, 1-digit Cameroon 1976 - see Variable: CM1976A_OCC2 - Occupation (2 digits) Cameroon 2005 - see Variable: CM2005A_OCC - Occupation Canada 1971 - see Variable: CA1971A_OCC - Occupation Canada 1981 - see Variable: CA1981A_OCC - Occupation (1981 classification basis) Canada 1991 - see Variable: CA1991A_OCC80 - Occupation (1980 classification basis) Canada 2001 - see Variable: CA2001A_NOCS01P - Occupation (2001 national occupational classification for statistics) Canada 2011 - see Variable: CA2011A_OCC - Occupation Chile 1960 - see Variable: CL1960A_OCC - Occupation Chile 1970 - see Variable: CL1970A_OCC3 - Occupation (3-digit) Chile 1982 - see Variable: CL1982A_OCC3 - Occupation (3-digit) Chile 1992 - see Variable: CL1992A_OCC3 - Occupation (3-digit) Chile 2002 - see Variable: CL2002A_OCC - Occupation China 1982 - see Variable: CN1982A_OCC - Occupation China 1990 - see Variable: CN1990A_OCC - Occupation China 2000 - see Variable: CN2000A_OCC - Occupation (2-digit) Colombia 1964 - see Variable: CO1964A_OCC2 - Occupation (COTA, 4 digits) Colombia 1973 - see Variable: CO1973A_OCC - Occupation last week Costa Rica 1973 - see Variable: CR1973A_OCC3 - Occupation, 3 digits Costa Rica 1984 - see Variable: CR1984A_OCC - Occupation, 3 digits Costa Rica 2000 - see Variable: CR2000A_OCC3 - Occupation, 3 digits Costa Rica 2011 - see Variable: CR2011A_OCC - Occupation, 2-digit Cuba 2002 - see Variable: CU2002A_OCC - Occupation Cuba 2012 - see Variable: CU2012A_OCC3 - Main occupation (3-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_OCC2 - Current occupation (2-digit) Dominican Republic 1960 - see Variable: DO1960A_OCC - Occupation Dominican Republic 1970 - see Variable: DO1970A_OCC1 - Current occupation, 3 digits Dominican Republic 1981 - see Variable: DO1981A_OCC - Occupation Dominican Republic 2002 - see Variable: DO2002A_OCC - Occupation Dominican Republic 2010 - see Variable: DO2010A_OCC - Occupation Ecuador 1962 - see Variable: EC1962A_OCC - Occupation Ecuador 1974 - see Variable: EC1974A_OCC3 - Occupation, three digits Ecuador 1982 - see Variable: EC1982A_OCC3 - Occupation, 3 digits Ecuador 1990 - see Variable: EC1990A_OCC3 - Occupation, 3 digits Ecuador 2001 - see Variable: EC2001A_OCC - Occupation, 3 digits Ecuador 2010 - see Variable: EC2010A_OCC3 - Occupation (3 digits, ISCO 08) Egypt 1986 - see Variable: EG1986A_OCC3 - Occupation (3-digit) Egypt 2006 - see Variable: EG2006A_OCC - Primary occupation, 3-digit El Salvador 1992 - see Variable: SV1992A_OCC - Occupation (3-digit) El Salvador 2007 - see Variable: SV2007A_OCC3DIG - Occupation (3-digit) Ethiopia 1984 - see Variable: ET1984A_OCC2 - Occupation (2-digit) Ethiopia 1994 - see Variable: ET1994A_OCC - Occupation Fiji 1976 - see Variable: FJ1976A_OCC - Occupation Fiji 1986 - see Variable: FJ1986A_OCC - Occupation Fiji 1996 - see Variable: FJ1996A_OCC3 - Occupation (3 digits) Fiji 2007 - see Variable: FJ2007A_OCC3 - Occupation, 3 digits Fiji 2014 - see Variable: FJ2014A_OCC3 - Occupation (3 digits) Finland 2010 - see Variable: FI2010A_OCC - Occupation France 1962 - see Variable: FR1962A_SOCCUP - SAPHIR occupation France 1968 - see Variable: FR1968A_SOCC - SAPHIR occupation France 1975 - see Variable: FR1975A_SOCC - SAPHIR occupation France 1982 - see Variable: FR1982A_SOCC - SAPHIR occupation France 1990 - see Variable: FR1990A_SOCC - Saphir occupation France 1999 - see Variable: FR1999A_OCC - Occupation, ISCO France 2006 - see Variable: FR2006A_PROF486 - Detailed profession (4-digit) France 2011 - see Variable: FR2011A_PROF - Profession, 486 categories Germany 1970 - see Variable: DE1970A_OCC - Occupation Germany 1981 - see Variable: DE1981A_OCC - Occupation Germany 1987 - see Variable: DE1987A_OCC - Occupation Ghana 1984 - see Variable: GH1984A_OCC2 - Occupation, 2 digits Ghana 2000 - see Variable: GH2000A_OCC - Occupation Ghana 2010 - see Variable: GH2010A_OCC - Occupation (major groups) Greece 1971 - see Variable: GR1971A_OCC - Occupation Greece 1981 - see Variable: GR1981A_OCC - Occupation Greece 1991 - see Variable: GR1991A_OCC - Occupation Greece 2001 - see Variable: GR2001A_OCC - Occupation Greece 2011 - see Variable: GR2011A_OCC - Occupation Guatemala 1964 - see Variable: GT1964A_OCC3 - Occupation (3-digits) Guatemala 1973 - see Variable: GT1973A_OCC3 - Principal occupation (3-digits) Guatemala 1981 - see Variable: GT1981A_OCC3 - Principal occupation (3-digits) Guatemala 1994 - see Variable: GT1994A_OCC - Principal occupation (1-digit) Guatemala 2002 - see Variable: GT2002A_OCC3 - Principal occupation (3-digits) Guinea 1983 - see Variable: GN1983A_OCC2 - Occupation, 2 digits Guinea 1996 - see Variable: GN1996A_OCC - Occupation Guinea 2014 - see Variable: GN2014A_OCC - Occupation (3-digit) Haiti 1982 - see Variable: HT1982A_OCC - Main occupation or profession Haiti 2003 - see Variable: HT2003A_OCC2 - Occupation, 3 digits Honduras 1961 - see Variable: HN1961A_OCC - Occupation (2-digits) Honduras 1974 - see Variable: HN1974A_OCC2 - Occupation (3-digits) Honduras 1988 - see Variable: HN1988A_OCC4 - Occupation (4-digits) Honduras 2001 - see Variable: HN2001A_OCC - Occupation (4-digit) Honduras 2013 - see Variable: HN2013A_OCC3 - Occupation (3-digit) Hungary 1970 - see Variable: HU1970A_OCC - Occupation Hungary 1980 - see Variable: HU1980A_OCC - Occupation, scope of activity Hungary 1990 - see Variable: HU1990A_OCC - Occupation Hungary 2001 - see Variable: HU2001A_OCC - Occupation Hungary 2011 - see Variable: HU2011A_OCC - Occupation Indonesia 1971 - see Variable: ID1971A_OCC - Occupation Indonesia 1976 - see Variable: ID1976A_OCC - Primary occupation during past week Indonesia 1980 - see Variable: ID1980A_OCC - Primary occupation during the previous week (3 digit version) Indonesia 1985 - see Variable: ID1985A_OCC - Primary occupation Indonesia 1990 - see Variable: ID1990A_OCC - Main occupation last week Indonesia 1995 - see Variable: ID1995A_OCC - Occupation Indonesia 2005 - see Variable: ID2005A_OCC - Occupation Iran 2006 - see Variable: IR2006A_OCC4 - Occupation Iran 2011 - see Variable: IR2011A_OCC - Occupation (3-digit) Iraq 1997 - see Variable: IQ1997A_OCC - Occupation Ireland 1971 - see Variable: IE1971A_OCC - Occupation Ireland 1981 - see Variable: IE1981A_OCC - Occupation Ireland 1986 - see Variable: IE1986A_OCC - Occupation group Ireland 1991 - see Variable: IE1991A_OCC - Occupation group Ireland 1996 - see Variable: IE1996A_OCC - Occupation Ireland 2002 - see Variable: IE2002A_OCC - Occupation Ireland 2006 - see Variable: IE2006A_OCC - Occupation group Ireland 2011 - see Variable: IE2011A_OCC - Occupation (shuffled) Ireland 2016 - see Variable: IE2016A_OCC - Occupation (groups) Israel 1972 - see Variable: IL1972A_OCC - Occupation Israel 1983 - see Variable: IL1983A_OCC - Occupation Israel 1995 - see Variable: IL1995A_OCC - Occupation Israel 2008 - see Variable: IL2008A_OCC - Occupation Italy 2001 - see Variable: IT2001A_OCC - Occupation Italy 2011 - see Variable: IT2011A_WKTYPE - Type of work Jamaica 1982 - see Variable: JM1982A_OCC - Occupation during past week / in last job Jamaica 1991 - see Variable: JM1991A_OCC - Occupation during past week/in last job Jamaica 2001 - see Variable: JM2001A_OCC3 - Occupation 3-digit Jordan 2004 - see Variable: JO2004A_OCC3 - Major current occupation (3-digit) Kenya 1989 - see Variable: KE1989A_OCC4 - Occupation, 4 digits Kenya 2019 - see Variable: KE2019A_OCC3 - Occupation (3-digit) Kyrgyzstan 1999 - see Variable: KG1999A_OCC - Main activity Laos 1995 - see Variable: LA1995A_OCC1 - Main occupation in the last 12 months (1-digit) Lesotho 1996 - see Variable: LS1996A_OCC - Occupation (2-digits) Lesotho 2006 - see Variable: LS2006A_OCC - Occupation (2-digits) Liberia 1974 - see Variable: LR1974A_OCC2 - Occupation (2-digit) Liberia 2008 - see Variable: LR2008A_OCC - Occupation Malawi 1987 - see Variable: MW1987A_OCC2 - Occupation, 2 digit Malawi 1998 - see Variable: MW1998A_OCC2 - Occupation, 2-digit Malawi 2008 - see Variable: MW2008A_OCC2 - Occupation (2 digits) Malawi 2018 - see Variable: MW2018A_OCC1 - Main occupation (1-digit) Malaysia 1970 - see Variable: MY1970A_OCC - Occupation last week Malaysia 1980 - see Variable: MY1980A_OCC3 - Principal occupation last week (3 digits) Malaysia 1991 - see Variable: MY1991A_OCC3 - Principal occupation (3 digits) Malaysia 2000 - see Variable: MY2000A_OCC3 - Occupation -- 3 digits Mali 1987 - see Variable: ML1987A_OCC - Occupation last month Mali 1998 - see Variable: ML1998A_OCC - Main occupation Mali 2009 - see Variable: ML2009A_OCC - Principal occupation Mauritius 1990 - see Variable: MU1990A_OCC3 - Occupation (3-digit) Mauritius 2000 - see Variable: MU2000A_OCC4 - Occupation (4 digit) Mauritius 2011 - see Variable: MU2011A_OCC4 - Occupation (4-digit) Mexico 1960 - see Variable: MX1960A_OCC2 - Principal occupation, 2 digits Mexico 1970 - see Variable: MX1970A_OCC3 - Occupation 3 digit Mexico 1990 - see Variable: MX1990A_OCC - Occupation, 4 digits Mexico 1995 - see Variable: MX1995A_OCC - Occupation Mexico 2000 - see Variable: MX2000A_OCC4 - Occupation, 4 digits Mexico 2010 - see Variable: MX2010A_OCC - Occupation or trade Mexico 2015 - see Variable: MX2015A_OCC - Occupation Mexico 2020 - see Variable: MX2020A_OCC3 - Occupation (3-digits) Mongolia 2000 - see Variable: MN2000A_OCC - Occupation Mongolia 2010 - see Variable: MN2010A_OCC3 - Occupation 3 digits (ISCO-2008) Mongolia 2020 - see Variable: MN2020A_OCC3 - Occupation (3-digit) Morocco 1982 - see Variable: MA1982A_OCC3 - Occupation (3-digit) Morocco 1994 - see Variable: MA1994A_OCC3 - Occupation, 3-digit Morocco 2004 - see Variable: MA2004A_OCC3 - Occupation (3-digit) Morocco 2014 - see Variable: MA2014A_OCC2 - Occupation (2-digit) Mozambique 1997 - see Variable: MZ1997A_OCC2 - Occupation 3-digit Mozambique 2007 - see Variable: MZ2007A_OCC - Occupation Mozambique 2017 - see Variable: MZ2017A_OCC3 - Main occupation (3-digits ISCO 2008) Myanmar 2014 - see Variable: MM2014A_OCC - Occupation Nepal 2001 - see Variable: NP2001A_OCC - Usual occupation Nepal 2011 - see Variable: NP2011A_OCC1 - Occupation (1-digit) Netherlands 1960 - see Variable: NL1960A_OCC - Occupation Netherlands 1971 - see Variable: NL1971A_OCC - Occupation Netherlands 2001 - see Variable: NL2001A_OCC - Occupation Netherlands 2011 - see Variable: NL2011A_OCC - Occupation (1-digit) Nicaragua 1971 - see Variable: NI1971A_OCC - Occupation Nicaragua 1995 - see Variable: NI1995A_OCC - Occupation (ISCO 88, 3 digits) Nicaragua 2005 - see Variable: NI2005A_OCC3 - Occupation (ISCO 88, 3 digits) Pakistan 1973 - see Variable: PK1973A_OCC3 - Occupation Palestine 1997 - see Variable: PS1997A_OCC - Main occupation Palestine 2007 - see Variable: PS2007A_OCC - Main occupation Palestine 2017 - see Variable: PS2017A_OCC - Occupation Panama 1960 - see Variable: PA1960A_OCC4 - Occupation (4-digit) Panama 1970 - see Variable: PA1970A_OCC2 - Occupation, 2-digit Panama 1980 - see Variable: PA1980A_OCC2 - Occupation (3-digit) Panama 1990 - see Variable: PA1990A_OCC - Occupation Panama 2000 - see Variable: PA2000A_OCC - Occupation Panama 2010 - see Variable: PA2010A_OCC - Occupation, 3 digits Papua New Guinea 1980 - see Variable: PG1980A_OCC - Occupation, 3 digits Papua New Guinea 1990 - see Variable: PG1990A_OCC - Occupation Papua New Guinea 2000 - see Variable: PG2000A_OCC - Occupation (4-digit) Paraguay 1962 - see Variable: PY1962A_OCC1 - Occupation (1-digit) Paraguay 1972 - see Variable: PY1972A_OCC3 - Occupation (3 digits) Paraguay 1982 - see Variable: PY1982A_OCC3 - Occupation, 3-digits Paraguay 1992 - see Variable: PY1992A_OCC2 - Main occupation, 3 digits Paraguay 2002 - see Variable: PY2002A_OCC - Occupation (4 digits) Peru 1993 - see Variable: PE1993A_OCC - Occupation (3 digits) Peru 2007 - see Variable: PE2007A_OCC - Main occupation last week (3 digits) Peru 2017 - see Variable: PE2017A_OCC1 - Occupation (1-digit, in primary job last week) Philippines 1990 - see Variable: PH1990A_OCC - Occupation Philippines 2000 - see Variable: PH2000A_OCC - Occupation Philippines 2010 - see Variable: PH2010A_OCC3 - Usual occupation (3-digit) Poland 1978 - see Variable: PL1978A_OCC - Occupation Poland 1988 - see Variable: PL1988A_OCC - Main occupation Poland 2002 - see Variable: PL2002A_OCC - Occupation Portugal 1981 - see Variable: PT1981A_OCC - Main occupation Portugal 1991 - see Variable: PT1991A_OCC - Main occupation Portugal 2001 - see Variable: PT2001A_OCC - Main occupation Portugal 2011 - see Variable: PT2011A_OCC - Main occupation Puerto Rico 1970 - see Variable: PR1970A_OCC - Occupation Puerto Rico 1980 - see Variable: PR1980A_OCC - Occupation Puerto Rico 1990 - see Variable: PR1990A_OCC - Occupation Puerto Rico 2000 - see Variable: PR2000A_OCC - Occupation Puerto Rico 2005 - see Variable: PR2005A_OCC - Occupation Puerto Rico 2010 - see Variable: PR2010A_OCC - Occupation Puerto Rico 2015 - see Variable: PR2015A_OCC - Occupation last week Puerto Rico 2020 - see Variable: PR2020A_OCC2010 - Occupation last week, 2010 basis Romania 1992 - see Variable: RO1992A_OCC - Occupation Romania 2002 - see Variable: RO2002A_OCC4 - Occupation, 4 digits Romania 2011 - see Variable: RO2011A_OCC - Occupation (unrecoded) Rwanda 2002 - see Variable: RW2002A_OCC - Occupation Rwanda 2012 - see Variable: RW2012A_OCC2 - Occupation (3-digit) Saint Lucia 1991 - see Variable: LC1991A_OCC - Occupation Senegal 1988 - see Variable: SN1988A_OCC - Occupation Senegal 2002 - see Variable: SN2002A_OCC3 - Occupation, 3 digits Senegal 2013 - see Variable: SN2013A_OCC3 - Profession or occupation (3-digit) Sierra Leone 2004 - see Variable: SL2004A_OCC - Occupation Sierra Leone 2015 - see Variable: SL2015A_OCC - Main occupation in the past 12 months Slovakia 1991 - see Variable: SK1991A_OCC - Occupation (2-digit) Slovakia 2001 - see Variable: SK2001A_OCC2 - Occupation (2-digit) Slovakia 2011 - see Variable: SK2011A_OCC2 - Occupation (2-digit) Slovenia 2002 - see Variable: SI2002A_OCC - Occupation South Africa 1996 - see Variable: ZA1996A_OCC3 - Occupation, 3 digits South Africa 2001 - see Variable: ZA2001A_OCC - Occupation, 3 digit South Africa 2007 - see Variable: ZA2007A_OCC3 - Occupation, 3 digits South Sudan 2008 - see Variable: SS2008A_OCC - Occupation Spain 1981 - see Variable: ES1981A_OCC - Occupation Spain 1991 - see Variable: ES1991A_OCC - Occupation Spain 2001 - see Variable: ES2001A_OCC - Occupation Spain 2011 - see Variable: ES2011A_OCC - Occupation, 2-digits Sudan 2008 - see Variable: SD2008A_OCC - Occupation Suriname 2004 - see Variable: SR2004A_OCC - Occupation Suriname 2012 - see Variable: SR2012A_OCC - Occupation (groups) Switzerland 1970 - see Variable: CH1970A_ISCO - Present occupation (ISCO) Switzerland 1980 - see Variable: CH1980A_ISCO - Present occupation (ISCO-COM) Switzerland 1990 - see Variable: CH1990A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2000 - see Variable: CH2000A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2011 - see Variable: CH2011A_OCC - Current occupation (1-digit, ISCO-08) Tanzania 1988 - see Variable: TZ1988A_OCC - Occupation Tanzania 2002 - see Variable: TZ2002A_OCC - Occupation last week Tanzania 2012 - see Variable: TZ2012A_OCC - Occupation Thailand 1970 - see Variable: TH1970A_OCC - Principal occupation last year Thailand 1980 - see Variable: TH1980A_OCC - Occupation last year Thailand 1990 - see Variable: TH1990A_OCC3 - Occupation last year Thailand 2000 - see Variable: TH2000A_OCC3 - Occupation last year, 3 digits Togo 1960 - see Variable: TG1960A_OCC - Occupation (3-digits) Togo 1970 - see Variable: TG1970A_OCC3 - Occupation (3-digits) Togo 2010 - see Variable: TG2010A_OCC2 - Occupation (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_OCC - Main occupation (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_OCC - Main occupation during previous week (three digits) Trinidad and Tobago 2000 - see Variable: TT2000A_OCC - Main occupation (3 digits) Turkey 1985 - see Variable: TR1985A_OCC2 - Occupation (2-digit) Turkey 1990 - see Variable: TR1990A_OCC2 - Current occupation (2 digits) Turkey 2000 - see Variable: TR2000A_OCC2 - Current occupation, 2 digit Uganda 1991 - see Variable: UG1991A_OCC - Occupation, 3 digits Uganda 2002 - see Variable: UG2002A_OCC - Occupation, 3 digits Uganda 2014 - see Variable: UG2014A_OCC - Occupation (2-digits) United Kingdom 1961 - see Variable: UK1961A_OCC - Occupation United Kingdom 1971 - see Variable: UK1971A_OCC - Occupation United Kingdom 1991 - see Variable: UK1991A_OCC - Occupational classification United Kingdom 2001 - see Variable: UK2001A_OCC3 - Standard occupational classification 2000-minor United States 1960 - see Variable: US1960A_OCC - Occupation United States 1970 - see Variable: US1970A_OCC - Occupation United States 1980 - see Variable: US1980A_OCC - Occupation United States 1990 - see Variable: US1990A_OCC - Occupation United States 2000 - see Variable: US2000A_OCC - Occupation United States 2005 - see Variable: US2005A_OCC2000M - Occupation, 2000 basis, modal category assignment United States 2010 - see Variable: US2010A_OCC - Occupation United States 2015 - see Variable: US2015A_OCC - Occupation last week United States 2020 - see Variable: US2020A_OCC - Occupation last week Uruguay 1963 - see Variable: UY1963A_OCC2 - Primary occupation [2-digit] Uruguay 1975 - see Variable: UY1975A_OCC - Occupation (COTA, 3 digits) Uruguay 1985 - see Variable: UY1985A_OCC - Occupation during the past week Uruguay 1996 - see Variable: UY1996A_OCC - Occupation (ISCO 88, 3 digits) Uruguay 2006 - see Variable: UY2006A_OCC3 - Occupation (ISCO-88, 3 digits) Venezuela 1981 - see Variable: VE1981A_OCC3 - Occupation, 3 digits Venezuela 1990 - see Variable: VE1990A_OCC - Occupation, 3 digits Venezuela 2001 - see Variable: VE2001A_OCC - Occupation Vietnam 1989 - see Variable: VN1989A_OCC2 - Occupation, 2 digits Vietnam 1999 - see Variable: VN1999A_OCC3 - Occupation, 3 digit Vietnam 2009 - see Variable: VN2009A_OCC - Occupation Vietnam 2019 - see Variable: VN2019A_OCC1 - Occupation, 1 digit Zambia 1990 - see Variable: ZM1990A_OCC - Occupation Zambia 2000 - see Variable: ZM2000A_OCC - Main occupation last 12 months, 3 digits Zambia 2010 - see Variable: ZM2010A_OCC2 - Main occupation last 12 months, 3 digits Zimbabwe 2012 - see Variable: ZW2012A_OCC - Occupation (3-digits) Work Variables -- PERSON Industry, general recode INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples. "Industry" refers to the activity or product of the establishment or sector in which a person worked. 000 NIU (not in universe) 010 Agriculture, fishing, and forestry 020 Mining and extraction 030 Manufacturing 040 Electricity, gas, water and waste management 050 Construction 060 Wholesale and retail trade 070 Hotels and restaurants 080 Transportation, storage, and communications 090 Financial services and insurance 100 Public administration and defense 110 Services, not specified 111 Business services and real estate 112 Education 113 Health and social work 114 Other services 120 Private household services 130 Other industry, n.e.c. 998 Response suppressed 999 Unknown Work Variables -- PERSON Industry, unrecoded "Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International. IND is a 5-digit numeric variable. Some samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Argentina 1970 - see Variable: AR1970A_IND4 - Industry [4 digit] Argentina 1980 - see Variable: AR1980A_IND - Industry Argentina 1991 - see Variable: AR1991A_IND - Industry Argentina 2001 - see Variable: AR2001A_IND - Industry Armenia 2001 - see Variable: AM2001A_IND - Principal activity at place of work Armenia 2011 - see Variable: AM2011A_IND - Industry Austria 1971 - see Variable: AT1971A_INDBR - Economic activity of supporter: branch Austria 1981 - see Variable: AT1981A_INDBR - Economic activity of supporter: branch Austria 1991 - see Variable: AT1991A_INDBR - Economic activity of supporter: branch Austria 2001 - see Variable: AT2001A_INDBR - Economic activity of supporter: branch Austria 2011 - see Variable: AT2011A_IND - Industry Bangladesh 1991 - see Variable: BD1991A_IND - Industry Bangladesh 2001 - see Variable: BD2001A_IND - Main work field Bangladesh 2011 - see Variable: BD2011A_IND - Industry Belarus 2009 - see Variable: BY2009A_ECONACT - Industry Benin 1979 - see Variable: BJ1979A_IND - Industry (1-digit) Benin 1992 - see Variable: BJ1992A_IND3 - Industry (2-digits) Benin 2002 - see Variable: BJ2002A_IND2 - Industry (2-digits) Benin 2013 - see Variable: BJ2013A_IND3 - Industry (3-digit) Bolivia 1976 - see Variable: BO1976A_IND - Industry Bolivia 1992 - see Variable: BO1992A_IND3 - Activity, 3 digits Bolivia 2001 - see Variable: BO2001A_IND3 - Industry, 3 digits Bolivia 2012 - see Variable: BO2012A_IND2 - Industry (2 digit) Botswana 1981 - see Variable: BW1981A_IND - Industry Botswana 1991 - see Variable: BW1991A_IND - Industry Botswana 2001 - see Variable: BW2001A_IND - Industry Botswana 2011 - see Variable: BW2011A_IND - Industry, 3-digits Brazil 1960 - see Variable: BR1960A_INDUSTRY - Industry Brazil 1970 - see Variable: BR1970A_INDUSTRY - Industry Brazil 1980 - see Variable: BR1980A_INDUSTRY - Industry Brazil 1991 - see Variable: BR1991A_IND - Industry Brazil 2000 - see Variable: BR2000A_IND - Industry, 5 digits Brazil 2010 - see Variable: BR2010A_IND - Industry of work from July 25 to July 31, 2010 Burkina Faso 1996 - see Variable: BF1996A_IND - Branch of activity Cambodia 1998 - see Variable: KH1998A_IND - Industry Cambodia 2004 - see Variable: KH2004A_IND3 - Industry (3-digits) Cambodia 2008 - see Variable: KH2008A_IND - Industry Cambodia 2013 - see Variable: KH2013A_IND - Industry (3-digits) Cambodia 2019 - see Variable: KH2019A_IND3 - Industy (ISIC rev 4, 3-digit) Cameroon 2005 - see Variable: CM2005A_IND - Industry Canada 1971 - see Variable: CA1971A_IND - Industry Canada 1981 - see Variable: CA1981A_IND - Industry (1981 standard industrial classification) Canada 1991 - see Variable: CA1991A_IND80 - Industry (1980 standard industrial classification) Canada 2001 - see Variable: CA2001A_IND80P - Industry (1980 Standard Industrial Classification) Canada 2011 - see Variable: CA2011A_IND - Industry Chile 1960 - see Variable: CL1960A_IND - Industry Chile 1970 - see Variable: CL1970A_IND4 - Industry (4-digit) Chile 1982 - see Variable: CL1982A_IND4 - Industry (4-digit) Chile 1992 - see Variable: CL1992A_IND - Industry Chile 2002 - see Variable: CL2002A_IND - Industry Chile 2017 - see Variable: CL2017A_IND - Industry (1-digit) China 1982 - see Variable: CN1982A_INDUSTRY - Industry China 1990 - see Variable: CN1990A_IND - Industry China 2000 - see Variable: CN2000A_IND - Industry (2-digit) Colombia 1964 - see Variable: CO1964A_IND4 - Industry, 4 digits Colombia 1973 - see Variable: CO1973A_IND - Industry Colombia 1993 - see Variable: CO1993A_IND - Industry Colombia 2005 - see Variable: CO2005A_IND - Industry (2-digit) Costa Rica 1963 - see Variable: CR1963A_IND3 - Industry, 3 digits Costa Rica 1973 - see Variable: CR1973A_IND4 - Industry, 4 digits Costa Rica 1984 - see Variable: CR1984A_IND4 - Industry, 4 digits Costa Rica 2000 - see Variable: CR2000A_IND3 - Industry, 3 digits Costa Rica 2011 - see Variable: CR2011A_IND - Industry 2-digit Cuba 2002 - see Variable: CU2002A_IND - Industry Cuba 2012 - see Variable: CU2012A_IND - Industry Côte d'Ivoire 1988 - see Variable: CI1988A_IND - Industry (1-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_IND2 - Industry sector (detailed) Dominican Republic 1960 - see Variable: DO1960A_IND - Industry Dominican Republic 1970 - see Variable: DO1970A_IND1 - Industry, 3 digits Dominican Republic 1981 - see Variable: DO1981A_IND - Industry (3-digit) Dominican Republic 2002 - see Variable: DO2002A_IND - Industry Dominican Republic 2010 - see Variable: DO2010A_IND - Main activity of business Ecuador 1962 - see Variable: EC1962A_IND3 - Industry, 3 digits Ecuador 1982 - see Variable: EC1982A_IND3 - Industry Ecuador 1990 - see Variable: EC1990A_IND3 - Industry, 3 digits Ecuador 2001 - see Variable: EC2001A_IND - Industry, 3 digits Ecuador 2010 - see Variable: EC2010A_IND3 - Industry (3 digits, ISIC rev 4) Egypt 1986 - see Variable: EG1986A_IND3 - Industry (3-digit) Egypt 1996 - see Variable: EG1996A_IND3 - Industry (ISIC) Egypt 2006 - see Variable: EG2006A_IND - Industry, 3-digit El Salvador 1992 - see Variable: SV1992A_IND - Industry (3-digit) El Salvador 2007 - see Variable: SV2007A_IND3DIG - Industry (3-digit) Ethiopia 1984 - see Variable: ET1984A_IND2 - Industry Ethiopia 1994 - see Variable: ET1994A_IND - Industry Fiji 1966 - see Variable: FJ1966A_IND - Industry Fiji 1976 - see Variable: FJ1976A_IND - Industry Fiji 1986 - see Variable: FJ1986A_IND - Industry 3 digits Fiji 1996 - see Variable: FJ1996A_IND2DIG - Industry (2 digits) Fiji 2007 - see Variable: FJ2007A_IND2 - Industry, 2 digits Fiji 2014 - see Variable: FJ2014A_IND - Industry Finland 2010 - see Variable: FI2010A_IND - Industry France 1962 - see Variable: FR1962A_IND - Industry France 1968 - see Variable: FR1968A_IND41 - Industry, 41 categories France 1975 - see Variable: FR1975A_INDUN - Industry, UNO France 1982 - see Variable: FR1982A_INDUN - Industry, United Nations nomenclature France 1990 - see Variable: FR1990A_IND15 - Industry, 15 categories France 1999 - see Variable: FR1999A_INDCITI - Industry, ISIC France 2006 - see Variable: FR2006A_IND700N - Economic activity in 700 categories (2003 classification) numeric recode France 2011 - see Variable: FR2011A_IND - Industry, 732 categories Germany 1970 - see Variable: DE1970A_IND - Industry Germany 1971 - see Variable: DE1971A_IND - Industry Germany 1981 - see Variable: DE1981A_IND - Industry Germany 1987 - see Variable: DE1987A_IND - Industry Ghana 2000 - see Variable: GH2000A_IND - Industry Ghana 2010 - see Variable: GH2010A_IND - Industry (major groups) Greece 1971 - see Variable: GR1971A_IND - Industry Greece 1981 - see Variable: GR1981A_IND - Industry Greece 1991 - see Variable: GR1991A_IND - Industry Greece 2001 - see Variable: GR2001A_IND - Industry Greece 2011 - see Variable: GR2011A_IND - Industry Guatemala 1964 - see Variable: GT1964A_IND3 - Field of economic activity (3-digits) Guatemala 1973 - see Variable: GT1973A_IND3 - Industry (3-digits) Guatemala 1981 - see Variable: GT1981A_IND3 - Industry (3-digits) Guatemala 1994 - see Variable: GT1994A_IND2 - Field of economic activity (2-digits) Guatemala 2002 - see Variable: GT2002A_IND1 - Field of economic activity (1-digit) Guinea 1983 - see Variable: GN1983A_IND2 - Branch of economic activity, 2 digits Guinea 2014 - see Variable: GN2014A_IND - Industry (3-digit) Haiti 1982 - see Variable: HT1982A_IND - Branch of work Haiti 2003 - see Variable: HT2003A_IND2 - Industry, 3 digits Honduras 1961 - see Variable: HN1961A_IND - Industry (2-digits) Honduras 1974 - see Variable: HN1974A_IND - Industry (3-digits) Honduras 2001 - see Variable: HN2001A_IND - Industry (4-digit) Honduras 2013 - see Variable: HN2013A_IND3 - Economic activity (3-digit) Hungary 2001 - see Variable: HU2001A_IND - Industry, branch of economy Hungary 2011 - see Variable: HU2011A_IND - Industry Indonesia 1971 - see Variable: ID1971A_IND - Industry Indonesia 1976 - see Variable: ID1976A_IND - Industry Indonesia 1980 - see Variable: ID1980A_IND - Industry Indonesia 1985 - see Variable: ID1985A_IND - Industry of primary occupation Indonesia 1990 - see Variable: ID1990A_IND - Industry of main occupation last week Indonesia 1995 - see Variable: ID1995A_IND - Industry Indonesia 2000 - see Variable: ID2000A_IND - Industry of primary occupation Indonesia 2005 - see Variable: ID2005A_IND - Industry Indonesia 2010 - see Variable: ID2010A_IND - Industry Iran 2006 - see Variable: IR2006A_IND4 - Industry Iran 2011 - see Variable: IR2011A_IND - Industry (3-digit) Iraq 1997 - see Variable: IQ1997A_IND - Industry Ireland 1971 - see Variable: IE1971A_IND - Industry Ireland 1981 - see Variable: IE1981A_IND - Industry class Ireland 1986 - see Variable: IE1986A_IND - Industry class Ireland 1991 - see Variable: IE1991A_IND - Industry class Ireland 1996 - see Variable: IE1996A_IND - Industry class Ireland 2002 - see Variable: IE2002A_IND - Industry class Ireland 2006 - see Variable: IE2006A_IND - Industry class Ireland 2011 - see Variable: IE2011A_IND - Industry Ireland 2016 - see Variable: IE2016A_IND - Industry Israel 1972 - see Variable: IL1972A_IND - Industry Israel 1983 - see Variable: IL1983A_IND - Industry Israel 1995 - see Variable: IL1995A_IND - Industry Israel 2008 - see Variable: IL2008A_IND - Branch of economy Italy 2001 - see Variable: IT2001A_IND - Industry Italy 2011 - see Variable: IT2011A_IND - Sector of economic activity Jamaica 1982 - see Variable: JM1982A_IND - Industry or type of business during past week / in last job Jamaica 1991 - see Variable: JM1991A_IND3 - Industry during past week or in last job, 3 digits Jamaica 2001 - see Variable: JM2001A_IND3 - Industry 3-digit Jordan 2004 - see Variable: JO2004A_IND - Major current economic activity of the establishment Kenya 2019 - see Variable: KE2019A_IND1 - Industry, ISIC section Kyrgyzstan 1999 - see Variable: KG1999A_IND - Activity type of an enterprise you are working in Kyrgyzstan 2009 - see Variable: KG2009A_IND - Type of industry, enterprise or organization Laos 1995 - see Variable: LA1995A_IND2 - Main industry in the last 12 months (2-digit) Laos 2005 - see Variable: LA2005A_IND3 - Industry (ISIC 3-digit) Laos 2015 - see Variable: LA2015A_IND2 - Industry (2-digit ISIC Rev. 4) Lesotho 2006 - see Variable: LS2006A_IND - Industry (2-digits) Liberia 1974 - see Variable: LR1974A_IND - Industry (3-digit) Liberia 2008 - see Variable: LR2008A_IND - Industry Malawi 1987 - see Variable: MW1987A_IND2 - Industry, 2 digit Malawi 1998 - see Variable: MW1998A_IND4 - Industry, 4-digit Malawi 2008 - see Variable: MW2008A_IND2 - Main industry Malawi 2018 - see Variable: MW2018A_IND3 - Main industry (ISIC 2008 3-digit) Malaysia 1970 - see Variable: MY1970A_IND3 - Industry last week Malaysia 1980 - see Variable: MY1980A_IND3 - Industry last week (3 digits) Malaysia 1991 - see Variable: MY1991A_IND3 - Main industry (3 digits) Malaysia 2000 - see Variable: MY2000A_IND3 - Main industry - 3 digits Mali 1987 - see Variable: ML1987A_IND - Principal branch of employment last month Mali 1998 - see Variable: ML1998A_IND - Branch of economic activity Mali 2009 - see Variable: ML2009A_IND - Industry Mauritius 1990 - see Variable: MU1990A_IND - Industry (1-digit) Mauritius 2000 - see Variable: MU2000A_IND1 - Industry (1 digit) Mauritius 2011 - see Variable: MU2011A_IND2 - Industry (2-digit) Mexico 1960 - see Variable: MX1960A_IND - Industry Mexico 1970 - see Variable: MX1970A_IND - Industry Mexico 1990 - see Variable: MX1990A_IND5 - Industry, 5 digits Mexico 1995 - see Variable: MX1995A_IND - Industry Mexico 2000 - see Variable: MX2000A_IND3 - Industry, 3 digits Mexico 2010 - see Variable: MX2010A_IND - Industry Mexico 2015 - see Variable: MX2015A_IND - Industry Mexico 2020 - see Variable: MX2020A_IND - Industry (4-digits) Mongolia 2000 - see Variable: MN2000A_IND - Industry Mongolia 2010 - see Variable: MN2010A_IND2 - Industry, division (ISIC Revision 4) Mongolia 2020 - see Variable: MN2020A_IND3 - Main industry (3-digit) Morocco 1982 - see Variable: MA1982A_IND3 - Industry (3-digit) Morocco 1994 - see Variable: MA1994A_IND2 - Industry (2 digits) Morocco 2004 - see Variable: MA2004A_IND2 - Sector of economic activity (2-digit) Morocco 2014 - see Variable: MA2014A_IND2 - Industry (2-digit) Mozambique 1997 - see Variable: MZ1997A_IND1 - Industry Mozambique 2007 - see Variable: MZ2007A_IND - Industry Mozambique 2017 - see Variable: MZ2017A_IND2 - Main economic activity (2-digits CAE Rev.2) Myanmar 2014 - see Variable: MM2014A_IND - Industry Nepal 2001 - see Variable: NP2001A_IND - Usual industry Nepal 2011 - see Variable: NP2011A_IND - Industry (2-digit) Netherlands 1960 - see Variable: NL1960A_IND - Industry Netherlands 1971 - see Variable: NL1971A_IND - Industry Netherlands 2001 - see Variable: NL2001A_IND - Industry Netherlands 2011 - see Variable: NL2011A_IND - Industry (1-digit) Nicaragua 1971 - see Variable: NI1971A_IND3 - Industry (ISIC2), 3 digits Nicaragua 1995 - see Variable: NI1995A_IND - Industry (ISIC 3.1, 3 digits) Nicaragua 2005 - see Variable: NI2005A_IND3 - Industry (ISIC 3.1, 3 digits)) Pakistan 1973 - see Variable: PK1973A_IND2 - Industry, 2 digit Palestine 1997 - see Variable: PS1997A_IND - Industry Palestine 2007 - see Variable: PS2007A_IND - Industry Palestine 2017 - see Variable: PS2017A_IND - Industry Panama 1960 - see Variable: PA1960A_IND3 - Industry (3 digit) Panama 1970 - see Variable: PA1970A_IND3 - Industry [3 digit] Panama 1980 - see Variable: PA1980A_IND - Industry, 3-digit Panama 1990 - see Variable: PA1990A_IND3 - Industry - 3 Digits Panama 2000 - see Variable: PA2000A_IND - Economic activity, 3 digits Panama 2010 - see Variable: PA2010A_IND - Economic activity, 4 digits Papua New Guinea 1980 - see Variable: PG1980A_IND - Industry, 3 digits Papua New Guinea 2000 - see Variable: PG2000A_IND3 - Industry (3-digit) Paraguay 1962 - see Variable: PY1962A_IND3 - Industry (3 digits) Paraguay 1972 - see Variable: PY1972A_IND3 - Industry (3 digits) Paraguay 1982 - see Variable: PY1982A_IND3 - Industry, 3-digits Paraguay 1992 - see Variable: PY1992A_IND3 - Industry, 3 digits Paraguay 2002 - see Variable: PY2002A_IND - Industry (4 digits) Peru 1993 - see Variable: PE1993A_IND - Economic activity (4 digits) Peru 2007 - see Variable: PE2007A_IND - Economic activity (4-digits) Peru 2017 - see Variable: PE2017A_IND4 - Economic activity (4-digits, in primary job last week) Philippines 1990 - see Variable: PH1990A_IND - Industry Philippines 1995 - see Variable: PH1995A_IND - Industry Philippines 2000 - see Variable: PH2000A_IND - Industry Philippines 2010 - see Variable: PH2010A_IND3 - Kind of business or industry (3-digit) Poland 1978 - see Variable: PL1978A_IND - Industry (of person providing support) Poland 2002 - see Variable: PL2002A_IND - Industry (main employer) Portugal 1981 - see Variable: PT1981A_IND - Industry Portugal 1991 - see Variable: PT1991A_IND - Industry Portugal 2001 - see Variable: PT2001A_IND - Industry Portugal 2011 - see Variable: PT2011A_IND - Industry Puerto Rico 1970 - see Variable: PR1970A_IND1990 - Industry, 1990 basis Puerto Rico 1980 - see Variable: PR1980A_IND1990 - Industry, 1990 basis Puerto Rico 1990 - see Variable: PR1990A_IND - Industry Puerto Rico 2000 - see Variable: PR2000A_IND1990 - Industry, 1990 basis Puerto Rico 2005 - see Variable: PR2005A_IND1990 - Industry, 1990 basis Puerto Rico 2010 - see Variable: PR2010A_IND - Industry Puerto Rico 2015 - see Variable: PR2015A_IND - Industry Puerto Rico 2020 - see Variable: PR2020A_IND - Industry Romania 1977 - see Variable: RO1977A_IND - Industry of supporter Romania 1977 - see Variable: RO1977A_WKACT - Activity category Romania 1992 - see Variable: RO1992A_IND - Industry Romania 2002 - see Variable: RO2002A_IND - Industry Romania 2011 - see Variable: RO2011A_INDGEN - Industry (general categories) Rwanda 2002 - see Variable: RW2002A_IND - Industry Rwanda 2012 - see Variable: RW2012A_IND2 - Industry (3-digit) Saint Lucia 1991 - see Variable: LC1991A_IND3 - Industry, 2 digit Senegal 1988 - see Variable: SN1988A_IND - Industry Senegal 2013 - see Variable: SN2013A_IND3 - Industry (3-digit) Sierra Leone 2004 - see Variable: SL2004A_IND - Industry Slovenia 2002 - see Variable: SI2002A_IND - Industry South Africa 1996 - see Variable: ZA1996A_IND2 - Industry, 2 digits South Africa 2001 - see Variable: ZA2001A_IND3 - Industry, 3 digit South Africa 2007 - see Variable: ZA2007A_IND3 - Industry, 3 digit South Sudan 2008 - see Variable: SS2008A_IND - Industry Spain 1981 - see Variable: ES1981A_IND - Industry Spain 1991 - see Variable: ES1991A_IND - Activity of the establishment Spain 2001 - see Variable: ES2001A_IND - Industry Spain 2011 - see Variable: ES2011A_IND - Industry, 2-digits Sudan 2008 - see Variable: SD2008A_IND - Industry Suriname 2004 - see Variable: SR2004A_IND - Industry Suriname 2012 - see Variable: SR2012A_IND - Industry (groups) Switzerland 1970 - see Variable: CH1970A_IND - Branch of economic activity (industry) Switzerland 1980 - see Variable: CH1980A_IND - Branch of economic activity (industry) Switzerland 1990 - see Variable: CH1990A_IND - Branch of economic activity (industry) Switzerland 2000 - see Variable: CH2000A_IND - Branch of economic activity (industry) Switzerland 2011 - see Variable: CH2011A_IND2 - Industry of local unit, workplace (NOGA 2-digit) Tanzania 2002 - see Variable: TZ2002A_IND - Industry last week Tanzania 2012 - see Variable: TZ2012A_IND - Industry Thailand 1970 - see Variable: TH1970A_IND - Principal industry last year Thailand 1980 - see Variable: TH1980A_IND - Principal industry last year Thailand 1990 - see Variable: TH1990A_IND3 - Principal industry last year, 3 digits Thailand 2000 - see Variable: TH2000A_IND3 - Industry last year, 3 digits Togo 1970 - see Variable: TG1970A_IND - Industry (1-digit) Togo 2010 - see Variable: TG2010A_IND3 - Industry (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_IND - Industry (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_IND - Industry Trinidad and Tobago 2000 - see Variable: TT2000A_IND - Industry (2 digits) Turkey 1985 - see Variable: TR1985A_INDALT - Industry (2-digit) Turkey 1990 - see Variable: TR1990A_IND2 - Industry (2 digits) Turkey 2000 - see Variable: TR2000A_IND2 - Industry, 2 digit Uganda 2002 - see Variable: UG2002A_IND - Industry United Kingdom 1961 - see Variable: UK1961A_IND - Industry United Kingdom 1971 - see Variable: UK1971A_IND - Industry United Kingdom 1991 - see Variable: UK1991A_IND - Industrial classification United Kingdom 2001 - see Variable: UK2001A_IND - Industry classification United States 1960 - see Variable: US1960A_IND - Industry United States 1970 - see Variable: US1970A_IND - Industry United States 1980 - see Variable: US1980A_IND - Industry United States 1990 - see Variable: US1990A_IND - Industry United States 2000 - see Variable: US2000A_IND - Industry United States 2005 - see Variable: US2005A_IND - Industry United States 2010 - see Variable: US2010A_IND - Industry United States 2015 - see Variable: US2015A_IND - Industry United States 2020 - see Variable: US2020A_IND - Industry Uruguay 1963 - see Variable: UY1963A_IND2 - Primary industry [2-digit] Uruguay 1985 - see Variable: UY1985A_IND - Industry during the past week Uruguay 1996 - see Variable: UY1996A_IND2 - Industry (ISIC 3, 2 digits) Uruguay 2006 - see Variable: UY2006A_IND3 - Industry (ISIC rev 3, 3 digits) Venezuela 1981 - see Variable: VE1981A_IND - Industry Venezuela 1990 - see Variable: VE1990A_IND - Industry Venezuela 2001 - see Variable: VE2001A_IND - Industry Vietnam 1989 - see Variable: VN1989A_IND2 - Industry, 2 digits Vietnam 1999 - see Variable: VN1999A_IND3 - Industry, 3 digit Vietnam 2009 - see Variable: VN2009A_IND - Industry Vietnam 2019 - see Variable: VN2019A_IND3 - Industry, 3 digit Zambia 1990 - see Variable: ZM1990A_IND - Industry Zambia 2000 - see Variable: ZM2000A_IND - Type of industry, 3 digits Zambia 2010 - see Variable: ZM2010A_IND2 - Industry, 3 digits Work Variables -- PERSON Status in employment (class of worker) [general version] CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. 0 NIU (not in universe) 1 Self-employed 2 Wage/salary worker 3 Unpaid worker 4 Other 9 Unknown/missing Work Variables -- PERSON Status in employment (class of worker) [detailed version] CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. 000 NIU (not in universe) 100 Self-employed 101 Self-employed, unincorporated 102 Self-employed, incorporated 110 Employer 111 Sharecropper, employer 120 Working on own account 121 Own account, agriculture 122 Domestic worker, self-employed 123 Subsistence worker, own consumption 124 Own account, other 125 Own account, without temporary/unpaid help 126 Own account, with temporary/unpaid help 130 Member of cooperative 140 Sharecropper 141 Sharecropper, self-employed 142 Sharecropper, employee 150 Kibbutz member 199 Self-employed, not specified 200 Wage/salary worker 201 Management 202 Non-management 203 White collar (non-manual) 204 Blue collar (manual) 205 White or blue collar 206 Day laborer 207 Employee, with a permanent job 208 Employee, occasional, temporary, contract 209 Employee without legal contract 210 Wage/salary worker, private employer 211 Apprentice 212 Religious worker 213 Wage/salary worker, non-profit, NGO 214 White collar, private 215 Blue collar, private 216 Paid family worker 217 Cooperative employee 220 Wage/salary worker, government or public sector 221 Federal, government employee 222 State government employee 223 Local government employee 224 White collar, public 225 Blue collar, public 226 Public companies 227 Civil servants, local collectives 230 Domestic worker (work for private household) 240 Seasonal migrant 241 Seasonal migrant, no broker 242 Seasonal migrant, uses broker 250 Other wage and salary 251 Canal zone/commission employee 252 Government employment/training program 253 Mixed state/private enterprise/parastatal 254 Government public work program 255 State enterprise employee 256 Coordinated and continuous collaboration job 300 Unpaid worker 310 Unpaid family worker 320 Apprentice, unpaid or unspecified 330 Trainee 340 Apprentice or trainee 350 Works for others without wage 400 Other 999 Unknown/missing Work Variables -- PERSON 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 HRSWORK1 indicates the number of hours the respondent worked per week at all jobs. 000 0 hours 001 1 hour 002 2 hours 003 3 hours 004 4 hours 005 5 hours 006 6 hours 007 7 hours 008 8 hours 009 9 hours 010 10 hours 011 11 hours 012 12 hours 013 13 hours 014 14 hours 015 15 hours 016 16 hours 017 17 hours 018 18 hours 019 19 hours 020 20 hours 021 21 hours 022 22 hours 023 23 hours 024 24 hours 025 25 hours 026 26 hours 027 27 hours 028 28 hours 029 29 hours 030 30 hours 031 31 hours 032 32 hours 033 33 hours 034 34 hours 035 35 hours 036 36 hours 037 37 hours 038 38 hours 039 39 hours 040 40 hours 041 41 hours 042 42 hours 043 43 hours 044 44 hours 045 45 hours 046 46 hours 047 47 hours 048 48 hours 049 49 hours 050 50 hours 051 51 hours 052 52 hours 053 53 hours 054 54 hours 055 55 hours 056 56 hours 057 57 hours 058 58 hours 059 59 hours 060 60 hours 061 61 hours 062 62 hours 063 63 hours 064 64 hours 065 65 hours 066 66 hours 067 67 hours 068 68 hours 069 69 hours 070 70 hours 071 71 hours 072 72 hours 073 73 hours 074 74 hours 075 75 hours 076 76 hours 077 77 hours 078 78 hours 079 79 hours 080 80 hours 081 81 hours 082 82 hours 083 83 hours 084 84 hours 085 85 hours 086 86 hours 087 87 hours 088 88 hours 089 89 hours 090 90 hours 091 91 hours 092 92 hours 093 93 hours 094 94 hours 095 95 hours 096 96 hours 097 97 hours 098 98 hours 099 99 hours 100 100 hours 101 101 hours 102 102 hours 103 103 hours 104 104 hours 105 105 hours 106 106 hours 107 107 hours 108 108 hours 109 109 hours 110 110 hours 111 111 hours 112 112 hours 113 113 hours 114 114 hours 115 115 hours 116 116 hours 117 117 hours 118 118 hours 119 119 hours 120 120 hours 121 121 hours 122 122 hours 123 123 hours 124 124 hours 125 125 hours 126 126 hours 127 127 hours 128 128 hours 129 129 hours 130 130 hours 131 131 hours 132 132 hours 133 133 hours 134 134 hours 135 135 hours 136 136 hours 137 137 hours 138 138 hours 139 139 hours 140 140+ hours 998 Unknown 999 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 Usual hours worked per week HRSUSUAL1 indicates the usual number of hours the respondent works in a typical week across all jobs or in their main job. 000 0 hours 001 1 hour 002 2 hours 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+ hours 997 Inconsistent or irregular work schedule 998 Unknown 999 NIU (Not in universe) Work Variables -- PERSON Usual hours worked per week, categorized HRSUSUAL2 indicates the usual number of hours the respondent worked per week at all jobs or in their main job, categorized into intervals. 0 None 1 1 to 14 hours (except ca1971) 2 15 to 29 hours (except de1970, ca1971) 3 30 to 39 hours (except de1970) 4 40-48 hours (except il1972-1995, ca1971, pt1991-2011) 5 49 hours or more (except il1972 and ca1971) 7 Inconsistent or irregular work schedule 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Available to work WRKAVAIL indicates whether a person is available to work (readiness) within a short period of time. 1 Yes 2 No 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 Earned income INCEARN reports the person's total income from their labor (from wages, a business, or a farm) in the previous month or year. INCEARN is an 8-digit numeric variable. Codes99999998 = Unknown/missing. 99999999 = NIU (not in universe). Top codes:Canada 1971: 50,000+ Canada 1981: 75,000+ Canada 2001: 200,000+ Israel 1972: 16,000+ Israel 2008: 275,653+ Mexico 1990: 90,000,000+ Mexico 2000: 999,998+ Mexico 2010-2020: 1,000,000+ Panama 2000: 9,997+ Puerto Rico 1990: 999,999+ Puerto Rico 2000: 310,000+ U.S.A. 1990: State median of values over 284,000 U.S.A. 2000: 310,000+ U.S.A. 2005: 9,999,999+ Venezuela 1971: 2000+ Bottom codes:Canada 1981-2001: -50,000 Puerto Rico 1990-2020: -9,999 U.S.A. 1990: -19,996 U.S.A. 2000-2005, 2015-2020: -9,999 U.S.A. 2010: -9,900 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 Retirement or pension income INCRET reports the amount of income the respondent received from a retirement program or account, or from a pension. The amounts are provided on a monthly or annual basis, depending on the sample. INCRET is a 6-digit numeric variable. Codes999998 = Unknown/missing. 999999 = NIU (not in universe). Top codes:Panama 2000: 9997+ U.S.A. 1990: State median of values over 30,000 U.S.A. 2000: State median of values over 52,000 U.S.A. 2005: State median of values over 41,000 U.S.A. 2010-2020: 99.5th percentile within each state (higher values are the state means of all cases above these cutoffs). Puerto Rico 1990: State median of values over 20,000 Puerto Rico 2000: Mean of values over 52,000 Puerto Rico 2005: Mean of values above the 99.5th percentile Puerto Rico 2010: 47,400+ Puerto Rico 2015, 2020: 99.5th percentile within the state (higher values are the state means of all cases above these cutoffs). Trinidad and Tobago 2000: 4000+ Income Variables -- PERSON Country of residence 1 year ago MIGCTRY1 indicates the country of residence 1 year ago for international migrants. Persons who did not live abroad 1 year prior 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 15199 Western African, n.s. 19990 Africa, n.s. 19991 Central and South Africa 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. Jon 21220 St. Lucia 21230 St. Thomas 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21999 Caribbean, n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23990 South America, n.s. 23991 Central and South America 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 United States 24041 U.S. Outlying Areas and Territories 24999 North America, n.s. 29990 Americas, other and 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 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 33199 Other South-Eastern Asia 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34051 Abkhazia 34052 South Ossetia 34060 Iraq 34070 Israel 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34990 Western Asia, n.s. 34991 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 42999 Northern Europe, n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovina 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43144 Kosovo 43999 Southern Europe, n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44030 France 44040 Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44999 Western Europe, n.e.c. 49990 Europe, n.s. 49991 Central-Eastern Europe 49992 European Union 49993 European Union (original 15) 49994 Other European Union (not original 15) 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) 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53999 Micronesia, n.e.c. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Samoa 54060 Tokelau 54070 Tonga 54080 Tuvalu 54090 Wallis and Futuna Isls. 59999 Oceania, n.s. 60000 Other 90000 Non-migrant (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 Disability status DISABLED indicates whether the person reported a disability of any kind. 0 NIU (not in universe) 1 Yes, disabled 2 No, not disabled 9 Unknown Disability Variables -- PERSON Deaf or hearing-impaired DISDEAF indicates whether the person was deaf or had limited hearing. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Disability limiting ability to walk DISMOBIL indicates whether the person has difficulty walking or climbing stairs. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Personal care limitation DISCARE indicates whether the respondent had any permanent condition that made it difficult for him/her to take care of their personal needs. 0 NIU (not in universe) 1 Yes, personal care limitation 2 No personal care limitation 9 Unknown Disability Variables -- PERSON Independent mobility difficulty DISINDEP indicates whether the respondent had any permanent physical or mental health condition that made it difficult or impossible to be independently mobile. This did not include temporary health problems. 0 NIU (not in universe) 1 Mobility limited 2 No mobility limitation 8 Unknown Disability Variables -- PERSON Person number (within household) Puerto Rico 2010: All records This variable indicates the person number (within household). 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 Technical Person Variables -- PERSON Sample-line weight (integral) Puerto Rico 2010: All persons This variable indicates the sample-line weight (integral). This is a 4-digit numeric variable with 0 implied decimal places Technical Person Variables -- PERSON Person weight (integral) Puerto Rico 2010: All persons This variable indicates the person weight (integral). This is a 4-digit numeric variable with 0 implied decimal places Technical Person Variables -- PERSON Mother's location in the household Puerto Rico 2010: All persons This variable indicates the mother's location in the household. 00 No mother of this person present in household 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 11 11 Constructed Family Interrelationship Variables -- PERSON Probable step/adopted mother Puerto Rico 2010: All persons This variable indicates a probable step/adopted mother. 0 No stepmother present 1 Improbable age difference 2 Spouse of father 3 Identified stepmother 4 No surviving children 5 Identified as adopted 6 Birthplace/marriage duration mismatch 7 Number of children born/children surviving check Constructed Family Interrelationship Variables -- PERSON Rule for linking mother Puerto Rico 2010: All persons This variable indicates the rule for linking the mother. 0 No mother link 1 Unambiguous mother link 2 Daughter/grandchild link 3 Preceding female (no intervening person) 4 Preceding female (surname similarity) 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 2010: All persons This variable indicates the father's location in the household. 00 No father of this person present in household 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 Constructed Family Interrelationship Variables -- PERSON Probable step/adopted father Puerto Rico 2010: All persons This variable indicates a probable step/adopted father. 0 No stepfather present 1 Improbable age difference 2 Spouse of mother 3 Identified stepfather 5 Identified as adopted 6 Birthplace/marriage duration mismatch 7 Surname difference -- male child or never-married female Constructed Family Interrelationship Variables -- PERSON Rule for linking father Puerto Rico 2010: All persons This variable indicates the rule for linking the father. 0 No father link 1 Unambiguous father link 2 Son/granchild link 3 Preceding male (no intervening person) 4 Preceding male (surname similarity) 7 Husband of mother becomes stepfather Constructed Family Interrelationship Variables -- PERSON Spouse's location in household Puerto Rico 2010: All persons This variable indicates the spouse's location in household. 00 No spouse of this person present in household 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 12 12 Constructed Family Interrelationship Variables -- PERSON Rule for linking spouse Puerto Rico 2010: All persons This variable indicates the rule for linking spouse. 0 No spouse link 1 Wife follows husband 2 Wife precedes husband 3 Non-adjacent links -- consistent relationship to head/age differences 4 Adjacent links (wife follows husband -- no age, other relative conflicts) 5 Adjacent links (wife precedes husband -- no age, other relative conflicts) 6 Non-adjacent links -- no age, other relative conflicts 7 Previously allocated marital status -- no age, other relative conflicts Constructed Family Interrelationship Variables -- PERSON Number of own family members in household Puerto Rico 2010: All persons This variable indicates the number of the person's own family members in the 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 Constructed Family Interrelationship Variables -- PERSON Number of own children in the household Puerto Rico 2010: All persons This variable indicates 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 9 9+ Constructed Family Interrelationship Variables -- PERSON Number of own children under age 5 in household Puerto Rico 2010: All persons This variable indicates the number of the person's own children under age 5 in household. 0 No children under age 5 1 1 child under age 5 2 2 3 3 4 4 Constructed Family Interrelationship Variables -- PERSON Family unit membership Puerto Rico 2010: All persons This variable indicates to which family within the housing unit the person belongs. 1 1st family in household or group quarters 2 2nd family in household or group quarters 3 3rd 4 4th 5 5th 6 6th 7 7th Constructed Family Interrelationship Variables -- PERSON Age of eldest own child in household Puerto Rico 2010: Persons with children [discrepancies: none] This variable indicates the age of the person's eldest 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 71 71 72 72 73 73 74 74 75 75 76 76 79 79 99 NIU (not in universe) Constructed Family Interrelationship Variables -- PERSON Age of youngest own child in household Puerto Rico 2010: Persons with children [discrepancies: none] This variable indicates the age of the person's youngest 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 71 71 72 72 73 73 74 74 75 75 76 76 79 79 99 NIU (not in universe) Constructed Family Interrelationship Variables -- PERSON Number of own siblings in household Puerto Rico 2010: All persons This variable indicates the number of the 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 8 8 siblings Constructed Family Interrelationship Variables -- PERSON Relationship to household head [Questions 1-6 were asked of all persons.]</p> <p><span class="em">2. How is this person related to Person 1?</span><div class="i1">[For Person 1]<br />[] Person 1 <br /><br />Person 1 is the person living or staying here in whose name this house or apartment is owned, bought, or being rented. If there is no such person, start with the name of any adult living or staying here.<br /><br />[For persons 2 - 5]<br />Relationship of Person [2 - 5] to Person 1.<br /><br />[] Husband or wife<br />[] Son-in-law or daughter-in-law<br />[] Biological son or daughter<br />[] Other relative<br />[] Adopted son or daughter<br />[] Roomer or boarder<br />[] Stepson or stepdaughter<br />[] Housemate or roommate<br />[] Brother or sister<br />[] Unmarried partner<br />[] Father or mother<br />[] Foster child<br />[] Grandchild<br />[] Other nonrelative<br />[] Parent-in-law</div> Puerto Rico 2010: All persons This variable indicates the person's relationship to the household head. 0101 Head/householder 0201 Spouse 0301 Child 0302 Adopted child 0303 Stepchild 0401 Child-in-law 0501 Parent 0601 Parent-in-law 0701 Sibling 0801 Sibling-in-Law 0901 Grandchild 1001 Other relatives, n.s. 1114 Unmarried partner 1115 Housemate/roommate 1241 Roomer/boarders/lodgers 1242 Foster children 1260 Other non-relatives 1270 Non-inmate 1990 (includes military, students, employees, boarders) 1301 Institutional inmates Demographic Variables -- PERSON Age [Questions 1-6 were asked of all persons.]</p> <p><span class="em">4. What is [the respondent's] age and what is [this person's] date of birth? </span><div class="i1">Please report babies as age 0 when the child is less than 1 year old.<br /><br />Age (in years) _ _ _<br />Month of Birth _ _<br />Day of Birth_ _<br />Year of Birth _ _ _ _</div> Puerto Rico 2010: All persons This variable indicates the person's age. 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 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 93 93+ Demographic Variables -- PERSON Sex [Questions 1-6 were asked of all persons.]</p> <p><span class="em">3. What is [the respondent's] sex? </span><div class="i1">Mark (X) in one box.<br /><br />[] Male<br />[] Female</div> Puerto Rico 2010: All persons This variable indicates the person's sex. 1 Male 2 Female Demographic Variables -- PERSON Race [Questions 1-6 were asked of all persons.]</p> <p><span class="em">6. What is [the respondent's] race? </span><div class="i1">Mark (X) in one or more boxes.<br /><br />[] White<br />[] Black, African Am., or Negro<br />[] American Indian or Alaska Native-- (Print name of enrolled or principal tribe.) ____<br />[] Asian Indian<br />[] Japanese<br />[] Native Hawaiian<br />[] Chinese<br />[] Korean<br />[] Guamanian or Chamorro<br />[] Filipino<br />[] Vietnamese<br />[] Samoan<br />[] Other Asian -- (Print race, for example, Hmong, Laotian, Thai, Pakistani, Cambodian, and so on.) ____<br />[] Other Pacific Islander -- (Print race, for example, Fijian, Tongan, and so on.) ____<br />[] Some other race -- (Print race) ____</div> <span class="em">Please answer both Question 5 about Hispanic origin and Question 6 about race. For this survey, Hispanic origins are not races.</span></p> <p>5. A person is of Hispanic, Latino, or Spanish origin if the person's origin (ancestry) is Mexican, Mexican Puerto Rican, Chicano, Puerto Rican, Cuban, Argentinean, Colombian, Costa Rican, Dominican, Ecuadoran, Guatemalan, Honduran, Nicaraguan, Peruvian, Salvadoran, from other Spanish-speaking countries of the Caribbean or Central or South America, or from Spain.</p> <p>The term Mexican Am. refers to persons of Mexican-Puerto Rico origin or ancestry. <br />If you mark the "Yes, another Hispanic, Latino, or Spanish origin" box, print the name of the specific origin.</p> <p>If a person is not of Hispanic, Latino, or Spanish origin, answer this question by marking the "No, not of Hispanic, Latino, or Spanish origin" box.</p> <p>This question should be answered by <span class="em">all</span> persons.</p> <p>6. Mark all boxes for the appropriate races.</p> <p>The concept of race, as used by the Census Bureau, reflects self-identification by individuals according to the race or races with which they identify.</p> <p>The instruction before question 5, "For this survey, Hispanic origins are not races" reflects the federal government's treatment of Hispanic origin and race as separate and distinct concepts. </p> <p>People who identify their origin as Hispanic, Latino, or Spanish may be of any race.</p> <p>People may choose to provide two or more races either by marking two or more race response boxes, by providing multiple write-in responses, or by some combination of marking boxes and writing in responses.</p> <p>If you mark the "Puerto Rico Indian or Alaska Native" box, also print the name of the tribe(s) in which the person is enrolled. If the person is not enrolled in a tribe, print the name of the principal tribe.</p> <p>If you mark the "Other Asian" box, print the name of the specific race(s) or group(s) in the space provided. The category "Other Asian" includes persons who identify themselves as Laotian, Thai, Pakistani, Cambodian, Sri Lankan, and so on.</p> <p>If you mark the "Other Pacific Islander" box, print the name of the specific race(s) or group(s) in the space provided. The category "Other Pacific Islander" includes persons who identify themselves as Fijian, Tongan, Polynesian, Tahitian and so on.</p> <p>If you mark the "Some other race" box, print the race(s) or group(s) in the space provided. <br />This question should be answered by ALL persons. Puerto Rico 2010: All persons This variable indicates the person's race. 100 White 200 Black/Negro 302 Apache 320 Pueblo 361 Other Specified AI tribe 398 Both AI and AN 399 AIAN, tribe not specified 400 Chinese 610 Asian Indian 620 Korean 640 Vietnamese 666 Indonesian 700 Other race, n.e.c. 801 White and Black 802 White and AIAN 812 White and Japanese 814 White and Asian Indian 815 White and Korean 817 White and Asian write-in 823 White and Guamanian/Chamorro 824 White and PI write-in 826 White and 'other race' write-in 827 White and one or more major race groups, n.e.c. 830 Black and AIAN 835 Black and Asian Indian 845 Black and 'other race' write-in 856 AIAN and 'other race' write-in 882 Japanese and 'other race' write-in 884 Asian Indian and 'other race' write-in 885 Asian write_in and 'other race' write-in 901 White, Black, and AIAN 904 White and Black and 'other race' write-in 943 Asian and Pacific Islander and 'other race' write-in 986 Black or African American race; American Indian and Alaska Native race; Asian groups and/or Native Hawaiian and Other Pacific Islander groups and/or Some other race 991 White race; Some other race; Black or African American race and/or American Indian and Alaska Native race and/or Asian groups and/or Native Hawaiian and Other Pacific Islander groups Ethnicity and Language Variables -- PERSON Marital status [Persons age 15 and over.]</p> <p><span class="em">20. What is this person's marital status?</span><div class="i1">[] Now married<br />[] Widowed<br />[] Divorced<br />[] Separated<br />[] Never married -- Skip to I</div> <span class="em">Answer person questions 19 through 48 if this person is 15 years old or over.</span></p> <p>20. Mark the "Now married" box for a married person regardless of whether his or her spouse is living in the household unless they are separated. If the person's only marriage was annulled, mark the "Never married" box. Puerto Rico 2010: All persons This variable indicates the person's marital status. 1 Married, spouse present 2 Married, spouse absent 3 Separated 4 Divorced 5 Widowed 6 Never married/single Demographic Variables -- PERSON Times married [Persons age 15 and over.]</p> <p><span class="em">22. How many times has this person been married?</span><div class="i1">[] Once<br />[] Two times<br />[] Three or more times</div> 20. Mark the "Now married" box for a married person regardless of whether his or her spouse is living in the household unless they are separated. If the person's only marriage was annulled, mark the "Never married" box.</p> <p>22. Do not count marriages that ended in annulment. Puerto Rico 2010: Ever-married persons age 15+ [discrepancies: none] This variable indicates the number of times a person has been married. 0 NIU (not in universe) 1 Married once 2 Married twice (or more) 3 Married thrice (or more) Demographic Variables -- PERSON Married within the past year [Persons age 15 and over.]</p> <p><span class="em">21. In the past 12 months did this person get:</span><div class="i1">[] Married?<br />[] Widowed?<br />[] Divorced?</div> 20. Mark the "Now married" box for a married person regardless of whether his or her spouse is living in the household unless they are separated. If the person's only marriage was annulled, mark the "Never married" box.</p> <p>22. Do not count marriages that ended in annulment. Puerto Rico 2010: Ever-married persons age 15+ [discrepancies: none] This variable indicates whether the person was married within the past year. 0 NIU (not in universe) 1 No 2 Yes Demographic Variables -- PERSON Birthplace [Questions 7-48 were asked of all persons.]</p> <p><span class="em">7. Where was this person born?</span><div class="i1">[] In the United States - (Print name of state). ____<br />[] Outside the United States - (Print name of foreign country, or Puerto Rico, Guam, etc.) ____</div> 20. Mark the "Now married" box for a married person regardless of whether his or her spouse is living in the household unless they are separated. If the person's only marriage was annulled, mark the "Never married" box. Puerto Rico 2010: All persons This variable indicates the person's birthplace. 00200 Alaska 00400 Arizona 00500 Arkansas 00600 California 00800 Colorado 00900 Connecticut 01000 Delaware 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 02800 Mississippi 02900 Missouri 03000 Montana 03100 Nebraska 03400 New Jersey 03600 New York 03700 North Carolina 03800 North Dakota 03900 Ohio 04000 Oklahoma 04100 Oregon 04200 Pennsylvania 04400 Rhode Island 04500 South Carolina 04700 Tennessee 04800 Texas 04900 Utah 05100 Virginia 05300 Washington 05500 Wisconsin 11000 Puerto Rico 11500 U.S. Virgin Islands 15000 Canada 16010 Bermuda 20000 Mexico 21020 Costa Rica 21030 El Salvador 21040 Guatemala 21050 Honduras 21060 Nicaragua 21070 Panama 25000 Cuba 26010 Dominican Republic 26020 Haiti 26054 Dominica 26060 Trinidad and Tobago 26091 Caribbean, n.s. / n.e.c. 26094 West Indies, n.s. 30005 Argentina 30010 Bolivia 30015 Brazil 30020 Chile 30025 Colombia 30030 Ecuador 30040 Guyana/British Guiana 30050 Peru 30060 Uruguay 30065 Venezuela 40100 Finland 41100 Scotland 41300 United Kingdom, n.s./ n.e.c. 42100 France 42500 Netherlands 42600 Switzerland 43400 Italy 43800 Spain 45000 Austria 45100 Bulgaria 45300 Germany 45710 Croatia 46510 Byelorussia 50000 China 50040 Taiwan 50100 Japan 50200 Korea 51500 Philippines 51800 Vietnam 52100 India 53400 Israel/Palestine 54100 Syria 60019 North Africa, n.s. 95000 Other, n.e.c. Nativity and Birthplace Variables -- PERSON Ancestry, first response [Question 13- 17 were asked of all persons.]</p> <p><span class="em">13. What is this person's ancestry or ethnic origin?</span><div class="i1">For example: Italian, Jamaican, African Am., Cambodian, Cape Verdean, Norwegian, Dominican, French Canadian, Haitian, Korean, Lebanese, Polish, Nigerian, Mexican, Taiwanese, Ukrainian, and so on. <br />____</div> 13. Print the ancestry group(s). Ancestry refers to the person's ethnic origin or descent, "roots," or heritage. Ancestry also may refer to the country of birth of the person or the person's parents or ancestors before their arrival in the United States. Answer this question for all persons, regardless of citizenship status.</p> <p>Do not report a religious group as a person's ancestry.</p> <p>Persons who have more than one origin and cannot identify with a single ancestry group may report two ancestry groups (for example, German, Irish). Puerto Rico 2010: All persons This variable indicates the person's first-response ancestry. 0030 Austrian 0053 Basque 0110 British 0210 Dutch 0220 English 0240 Finnish 0261 French 0321 German 0460 Greek 0500 Irish 0511 Italian 0820 Norwegian 0880 Scottish 0910 Swiss 1000 Albanian 1020 Belorussian 1030 Bulgarian 1090 Croatian 1420 Polish 1711 Ukrainian 1760 Yugoslavian 2001 Spaniard 2101 Mexican 2102 Mexicano/Mexicana 2110 Mexican American 2111 Mexican American Indian 2183 Mexican State 2210 Costa Rican 2220 Guatemalan 2230 Honduran 2240 Nicaraguan 2251 Panamanian 2260 Salvadoran 2272 Latin American 2273 Latino/Latina 2310 Argentinean 2320 Bolivian 2330 Chilean 2340 Colombian 2350 Ecuadorian 2370 Peruvian 2380 Uruguayan 2390 Venezuelan 2481 South American 2610 Puerto Rican 2710 Cuban 2750 Dominican 2900 Hispanic 2910 Spanish 3140 Trinidadian/Tobagonian 3220 British West Indian 3350 West Indian 3360 Haitian 3600 Brazilian 3700 Guyanese/British Guiana 4000 Algerian 4190 Israeli 4250 Lebanese 4290 Syrian 4650 Palestinian 4950 Arab 4960 Other Arab 5950 Other Subsaharan Africa 5990 African 6151 India 7060 Chinese 7200 Filipino 7301 Indonesian 7500 Korean 7850 Vietnamese 7930 Eurasian 8000 Australian 9001 Afro-American 9002 Black 9003 Negro 9008 Afro 9020 African-American 9200 American Indian (all tribes) 9241 White/Caucasian 9350 French Canadian 9400 United States 9830 Texas 9940 North American 9950 Mixture 9960 Uncodable 9990 Not Reported Ethnicity and Language Variables -- PERSON Ancestry, second response [Question 13- 17 were asked of all persons.]</p> <p><span class="em">13. What is this person's ancestry or ethnic origin?</span><div class="i1">For example: Italian, Jamaican, African Am., Cambodian, Cape Verdean, Norwegian, Dominican, French Canadian, Haitian, Korean, Lebanese, Polish, Nigerian, Mexican, Taiwanese, Ukrainian, and so on. <br />____</div> 13. Print the ancestry group(s). Ancestry refers to the person's ethnic origin or descent, "roots," or heritage. Ancestry also may refer to the country of birth of the person or the person's parents or ancestors before their arrival in the United States. Answer this question for all persons, regardless of citizenship status.</p> <p>Do not report a religious group as a person's ancestry.</p> <p>Persons who have more than one origin and cannot identify with a single ancestry group may report two ancestry groups (for example, German, Irish). Puerto Rico 2010: All persons This variable indicates the person's second-response ancestry. 0200 Danish 0210 Dutch 0220 English 0261 French 0321 German 0460 Greek 0500 Irish 0511 Italian 0910 Swiss 1090 Croatian 1420 Polish 1480 Russian 2001 Spaniard 2101 Mexican 2102 Mexicano/Mexicana 2183 Mexican State 2210 Costa Rican 2220 Guatemalan 2230 Honduran 2240 Nicaraguan 2251 Panamanian 2260 Salvadoran 2272 Latin American 2273 Latino/Latina 2310 Argentinean 2320 Bolivian 2330 Chilean 2340 Colombian 2350 Ecuadorian 2370 Peruvian 2390 Venezuelan 2481 South American 2610 Puerto Rican 2710 Cuban 2750 Dominican 2900 Hispanic 2910 Spanish 2950 Spanish American 3100 Dutch West Indies 3140 Trinidadian/Tobagonian 3212 Antigua 3350 West Indian 3360 Haitian 4250 Lebanese 4960 Other Arab 5950 Other Subsaharan Africa 5990 African 6151 India 7060 Chinese 7200 Filipino 8110 Hawaiian 8700 Other Pacific 9002 Black 9003 Negro 9006 Creole 9020 African-American 9350 French Canadian 9990 Not Reported Ethnicity and Language Variables -- PERSON Citizenship status [Questions 7-48 were asked of all persons.]</p> <p><span class="em">8. Is this person a citizen of the United States?</span><div class="i1">[] Yes, born in the United States - Skip to 10a<br />[] Yes, born in Puerto Rico, Guam, the U.S. Virgin Islands, or Northern Marianas<br />[] Yes, born abroad of U.S. citizen parent or parents<br />[] Yes, U.S. citizen by naturalization</div><div class="i2">Print year of naturalization _ _ _ _</div><div class="i1">[] No, not a U.S. citizen</div> <span class="em">Answer person questions 7 through 16 for all persons on pages 2, 3, and 4.</span></p> <p>Questions 7-48 are a continuation of the questions for each person. (Questions 1-6 appear on pages 2, 3, and 4 of the questionnaire.)</p> <p>7. For people born in the United States:</p> <div class="i1">Mark the "In the United States" box and then print the name of the state in which the person was born. If the person was born in Washington, D.C., print "District of Columbia."</div><p>For people born outside the United States:</p> <div class="i1">Mark the "Outside the United States" box, and then print Puerto Rico or the name of the foreign country or area where the person was born. Use current boundaries, not boundaries at the time of the person's birth. For example, specify either Northern Ireland or the Republic of Ireland (Eire); North or South Korea; England, Scotland, or Wales (not Great Britain or United Kingdom). Specify the particular country or island in the Caribbean (for example, Jamaica, not West Indies).</div><p>8. If the person was born in Puerto Rico (50 states and the District of Columbia), mark the "Yes, born in Puerto Rico" box. If the person was born in a U.S. state, the District of Columbia, Guam, the U.S. Virgin Islands, or Northern Marianas, mark the "Yes, born in a U.S. state, District of Columbia, Guam, the U.S." box. If the person was born outside the United States (50 states and the District of Columbia) or at sea and had at least one parent who was a U.S. citizen at the time of the person's birth, mark the "Yes, born abroad of U.S. citizen parent or parents" box. Mark the "Yes, U.S. citizen by naturalization" box only if this person was born outside the United States (50 states and the District of Columbia) and has completed the naturalization process and is now a United States citizen. In the boxes below "Print year of naturalization," print the four-digit year this person completed the formal naturalization process. If this person is not a U.S. citizen, mark the "No, not a U.S. citizen" box. Legal Permanent Residents (LPRs) or "green card" holders, or other non-naturalized immigrants or visitors to the U.S. are not citizens of the United States and therefore should mark the "No, not a U.S. citizen" box.</p> <p>9. If the person entered Puerto Rico more than once, enter the latest year he or she came to live in Puerto Rico. Puerto Rico 2010: Foreign-born persons [discrepancies: none] This variable indicates the person's citizenship status. 0 NIU (not in universe) 1 Born abroad of American parents 2 Naturalized citizen 3 Not a citizen Nativity and Birthplace Variables -- PERSON Hispanic origin [Questions 1-6 were asked of all persons.]</p> <p><span class="em">5. Is [the respondent] of Hispanic, Latino, or Spanish origin?</span><div class="i1">[] No, not of Hispanic, Latino, or Spanish origin<br />[] Yes, Mexican, Mexican Am., Chicano<br />[] Yes, Puerto Rican<br />[] Yes, Cuban<br />[] Yes, another Hispanic, Latino, or Spanish origin -- (Print origin, for example, Argentinean, Colombian, Dominican, Nicaraguan, Salvadoran, Spaniard, and so on) ____</div> <span class="em">Please answer both Question 5 about Hispanic origin and Question 6 about race. For this survey, Hispanic origins are not races.</span></p> <p>5. A person is of Hispanic, Latino, or Spanish origin if the person's origin (ancestry) is Mexican, Mexican Puerto Rican, Chicano, Puerto Rican, Cuban, Argentinean, Colombian, Costa Rican, Dominican, Ecuadoran, Guatemalan, Honduran, Nicaraguan, Peruvian, Salvadoran, from other Spanish-speaking countries of the Caribbean or Central or South America, or from Spain.</p> <p>The term Mexican Am. refers to persons of Mexican-Puerto Rico origin or ancestry. <br />If you mark the "Yes, another Hispanic, Latino, or Spanish origin" box, print the name of the specific origin.</p> <p>If a person is not of Hispanic, Latino, or Spanish origin, answer this question by marking the "No, not of Hispanic, Latino, or Spanish origin" box.</p> <p>This question should be answered by <span class="em">all</span> persons.</p> <p>6. Mark all boxes for the appropriate races.</p> <p>The concept of race, as used by the Census Bureau, reflects self-identification by individuals according to the race or races with which they identify.</p> <p>The instruction before question 5, "For this survey, Hispanic origins are not races" reflects the federal government's treatment of Hispanic origin and race as separate and distinct concepts. </p> <p>People who identify their origin as Hispanic, Latino, or Spanish may be of any race.</p> <p>People may choose to provide two or more races either by marking two or more race response boxes, by providing multiple write-in responses, or by some combination of marking boxes and writing in responses.</p> <p>If you mark the "Puerto Rico Indian or Alaska Native" box, also print the name of the tribe(s) in which the person is enrolled. If the person is not enrolled in a tribe, print the name of the principal tribe.</p> <p>If you mark the "Other Asian" box, print the name of the specific race(s) or group(s) in the space provided. The category "Other Asian" includes persons who identify themselves as Laotian, Thai, Pakistani, Cambodian, Sri Lankan, and so on.</p> <p>If you mark the "Other Pacific Islander" box, print the name of the specific race(s) or group(s) in the space provided. The category "Other Pacific Islander" includes persons who identify themselves as Fijian, Tongan, Polynesian, Tahitian and so on.</p> <p>If you mark the "Some other race" box, print the race(s) or group(s) in the space provided. <br />This question should be answered by ALL persons. Puerto Rico 2010: All persons This variable indicates the person's Hispanic origin. 000 Not Hispanic 100 Mexican 200 Puerto Rican 300 Cuban 411 Costa Rican 412 Guatemalan 413 Honduran 414 Nicaraguan 415 Panamanian 416 Salvadoran 420 Argentinean 421 Bolivian 422 Chilean 423 Colombian 424 Ecuadorian 426 Peruvian 427 Uruguayan 428 Venezuelan 450 Spaniard 460 Dominican 498 Other, not specified Ethnicity and Language Variables -- PERSON Years in Puerto Rico, intervalled Puerto Rico 2010: Persons born outside Puerto Rico [discrepancies: none] This variable indicates the number of years in intervals the person has lived in Puerto Rico 0 NIU (not in universe) 1 0 to 5 years 2 6 to 10 years 3 11 to 15 years 4 16 to 20 years 5 21+ years Migration: Global Variables -- PERSON Language spoken [Question 13- 17 were asked of all persons.]</p> <p><span class="em">14. a) Does this person speak a language other than English at home?</span><div class="i1">[] Yes<br />[] No - Skip to question 15a</div><span class="em">14. b) What is this language?</span><div class="i1">For example: Korean, Italian, Spanish, Vietnamese <br />____</div> 14a. Mark the "Yes" box if the person sometimes or always speaks a language other than English at home.</p> <p>Mark the "No" box if the person speaks only English, or if a non-English language is spoken only at school or is limited to a few expressions or slang.</p> <p>14b. If this person speaks more than one non-English language and cannot determine which is spoken more often, report the one the person first learned to speak. Puerto Rico 2010: Persons age 5+ [discrepancies: none] This variable indicates the language spoken by the individual. 0000 NIU (not in universe) 0100 English 0200 German 1000 Italian 1100 French 1140 French or Haitian Creole 1200 Spanish 1300 Portuguese 2610 Bulgarian 3102 Hindi 3300 Finnish 4300 Chinese 4302 Cantonese 4900 Korean 5000 Vietnamese 5900 Hebrew, Israeli 9601 Other n.e.c. Ethnicity and Language Variables -- PERSON Speaks English [Question 13- 17 were asked of all persons.]</p> <p><span class="em">14. c) How well does this person speak English?</span><div class="i1">[] Very well<br />[] Well<br />[] Not well<br />[] Not at all</div> Puerto Rico 2010: Persons age 5+ [discrepancies: none] This variable indicates whether the person speaks English. 0 NIU (not in universe) 1 Does not speak English 3 Yes, speaks only English 4 Yes, speaks very well 5 Yes, speaks well 6 Yes, but not well Ethnicity and Language Variables -- PERSON School attendance [Questions 7-48 were asked of all persons.]</p> <p><span class="em">10. a) At any time in the last 3 months, has this person attended school or college?</span><div class="i1">Include only nursery or preschool, kindergarten, elementary school, home school, and schooling which leads to a high school diploma or a college degree.<br /><br />[] No, has not attended in the last 3 months - Skip to question 11<br />[] Yes, public school, public college<br />[] Yes, private school, private college, home school</div> 11. Mark only one box to indicate the highest grade or level of schooling the person has completed or the highest degree the person received.</p> <p>Report schooling completed in foreign or ungraded schools as the equivalent level of schooling in the regular Puerto Rican school system.</p> <p>Mark the "GED or alternative credential" box for persons who did not receive a regular high school diploma but completed high school by receiving a GED or other formal recognition of high school completion from a school or governmental authority.</p> <p>If the person has not completed any college courses for credit, mark the highest level completed below the college level. If the person has not completed enough credit to be counted as a sophomore, mark the "Some college credit, but less than 1 year of college credit" box.</p> <p>For the "Professional degree beyond a bachelor's degree" category, do not include certificates or diplomas for training in specific trades or occupations such as computer and electronics technology, medical assistant, or cosmetology. Do not include post-bachelor's certificates that are related to occupational training in such fields as teaching, accounting, or engineering. Puerto Rico 2010: Persons age 3+ [discrepancies: none] This variable indicates whether or not the person is currently attending school. 0 NIU (not in universe) 1 No, not in school 2 Yes, in school Education Variables -- PERSON Public or private school [Questions 7-48 were asked of all persons.]</p> <p><span class="em">10. a) At any time in the last 3 months, has this person attended school or college?</span><div class="i1">Include only nursery or preschool, kindergarten, elementary school, home school, and schooling which leads to a high school diploma or a college degree.<br /><br />[] No, has not attended in the last 3 months - Skip to question 11<br />[] Yes, public school, public college<br />[] Yes, private school, private college, home school</div> 11. Mark only one box to indicate the highest grade or level of schooling the person has completed or the highest degree the person received.</p> <p>Report schooling completed in foreign or ungraded schools as the equivalent level of schooling in the regular Puerto Rican school system.</p> <p>Mark the "GED or alternative credential" box for persons who did not receive a regular high school diploma but completed high school by receiving a GED or other formal recognition of high school completion from a school or governmental authority.</p> <p>If the person has not completed any college courses for credit, mark the highest level completed below the college level. If the person has not completed enough credit to be counted as a sophomore, mark the "Some college credit, but less than 1 year of college credit" box.</p> <p>For the "Professional degree beyond a bachelor's degree" category, do not include certificates or diplomas for training in specific trades or occupations such as computer and electronics technology, medical assistant, or cosmetology. Do not include post-bachelor's certificates that are related to occupational training in such fields as teaching, accounting, or engineering. Puerto Rico 2010: Persons age 3+ [discrepancies: none] This variable indicates whether a person attending school was enrolled in a public or private school. 0 NIU (not in universe) 1 Not enrolled 2 Public school 3 Private school (1960,1990-2000, ACS, PRCS) Education Variables -- PERSON Employment status [Question 25 - 31 were asked of all persons.]</p> <p><span class="em">29. a) Last week, did this person work for pay at a job (or business)?</span><div class="i1">[] Yes -- Skip to question 30<br />[] No -- Did not work (or retired)</div> 29a-29b. Count as work - Mark the "Yes" box if this person performed:</p> <ul class="b1"> <li>Work for someone else for wages, salary, piece rate, commission, tips, or payments "in kind" (for example, food or lodging received as payment for work performed).</li> <li>Work in own business, professional practice, or farm.</li> <li>Any work in a family business or farm, paid or not.</li> <li>Any part-time work including babysitting, paper routes, etc.</li> <li>Active duty in the Armed Forces.</li> </ul><p>Do not count as work - Mark the "No" box if this person performed:</p> <ul class="b1"> <li>Housework or yard work at home.</li> <li>Unpaid volunteer work.</li> <li>School work done as a student.</li> <li>Work done as a resident of an institution.</li> </ul> Puerto Rico 2010: Persons age 16+ [discrepancies: none] This variable indicates the person's employment status. 00 NIU (not in universe) 10 At work 12 Has job, not working 14 Armed forces, at work 20 Unemployed 30 Not in Labor Force Work Variables -- PERSON Labor force status <span class="em">29. b) Last week, did this person do any work for pay, even for as little as one hour?</span><div class="i1">[] Yes<br />[] No -- Skip to question 35a</div> 29a-29b. Count as work - Mark the "Yes" box if this person performed:</p> <ul class="b1"> <li>Work for someone else for wages, salary, piece rate, commission, tips, or payments "in kind" (for example, food or lodging received as payment for work performed).</li> <li>Work in own business, professional practice, or farm.</li> <li>Any work in a family business or farm, paid or not.</li> <li>Any part-time work including babysitting, paper routes, etc.</li> <li>Active duty in the Armed Forces.</li> </ul><p>Do not count as work - Mark the "No" box if this person performed:</p> <ul class="b1"> <li>Housework or yard work at home.</li> <li>Unpaid volunteer work.</li> <li>School work done as a student.</li> <li>Work done as a resident of an institution.</li> </ul> Puerto Rico 2010: Persons age 16+ [discrepancies: none] This variable indicates whether or not the person is in the labor force. 0 NIU (not in universe) 1 No, not in the labor force 2 Yes, in the labor force Work Variables -- PERSON Occupation, 1950 basis <span class="em">45. What kind of work was this person doing?</span><div class="i1">For example: registered nurse, personal manager, supervisor of order department, secretary, accountant<br />____</div> Puerto Rico 2010: Persons age 16+ who had worked within the last 5 years, not new workers [discrepancies: none] This variable indicates the person's occupation, 1950 basis. 000 Accountants and auditors 001 Actors and actresses 002 Airplane pilots and navigators 003 Architects 004 Artists and art teachers 006 Authors 007 Chemists 008 Chiropractors 009 Clergymen 029 College presidents and deans, subject not specified 031 Dancers and dancing teachers 032 Dentists 033 Designers 034 Dietitians and nutritionists 035 Draftsmen 036 Editors and reporters 041 Engineers, aeronautical 042 Engineers, chemical 043 Engineers, civil 044 Engineers, electrical 045 Engineers, industrial 046 Engineers, mechanical 047 Engineers, metallurgical, metallurgists 049 Engineers (n.e.c.) 051 Entertainers (n.e.c.) 053 Foresters and conservationists 054 Funeral directors and embalmers 055 Lawyers and judges 056 Librarians 057 Musicians and music teachers 058 Nurses, professional 061 Agricultural scientists 062 Biological scientists 063 Geologists and geophysicists 069 Miscellaneous natural scientists 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) 200 Buyers and department heads, store 201 Buyers and shippers, farm products 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 280 Purchasing agents and buyers (n.e.c.) 290 Managers, officials, and proprietors (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 370 Telephone operators 380 Ticket, station, and express agents 390 Clerical and kindred workers (n.e.c.) 400 Advertising agents and salesmen 420 Demonstrators 450 Insurance agents and brokers 460 Newsboys 470 Real estate agents and brokers 480 Stock and bond salesmen 490 Salesmen and sales clerks (n.e.c.) 500 Bakers 502 Bookbinders 504 Brickmasons, stonemasons, and tile setters 505 Cabinetmakers 510 Carpenters 511 Cement and concrete finishers 513 Cranemen, derrickmen, and hoistmen 515 Electricians 521 Engravers, except photoengravers 522 Excavating, grading, and road machinery operators 523 Foremen (n.e.c.) 530 Glaziers 533 Inspectors (n.e.c.) 534 Jewelers, watchmakers, goldsmiths, and silversmiths 540 Linemen and servicemen, telegraph, telephone, and power 541 Locomotive engineers 544 Machinists 545 Mechanics and repairmen, airplane 550 Mechanics and repairmen, automobile 551 Mechanics and repairmen, office machine 552 Mechanics and repairmen, radio and television 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 591 Tinsmiths, coppersmiths, and sheet metal workers 592 Tool makers, and die makers and setters 593 Upholsterers 595 Members of the armed services 620 Asbestos and insulation workers 621 Attendants, auto service and parking 622 Blasters and powdermen 625 Bus drivers 632 Deliverymen and routemen 633 Dressmakers and seamstresses, except factory 643 Laundry and dry cleaning operatives 644 Meat cutters, except slaughter and packing house 650 Mine operatives and laborers 662 Oilers and greaser, except auto 670 Painters, except construction or maintenance 672 Power station operators 673 Sailors and deck hands 674 Sawyers 682 Taxicab drivers and chauffers 683 Truck and tractor drivers 685 Welders and flame cutters 690 Operative and kindred 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 753 Charwomen and cleaners 754 Cooks, except private household 760 Counter and fountain workers 762 Firemen, fire protection 763 Guards, watchmen, and doorkeepers 764 Housekeepers and stewards, except private household 770 Janitors and sextons 773 Policemen and detectives 780 Porters 781 Practical nurses 783 Ushers, recreation and amusement 784 Waiters and waitresses 790 Service workers, except private household (n.e.c.) 810 Farm foremen 820 Farm laborers, wage workers 910 Fishermen and oystermen 930 Gardeners, except farm, and groundskeepers 950 Lumbermen, raftsmen, and woodchoppers 970 Laborers (n.e.c.) 999 NIU (not in universe) Work: Occupation Variables -- PERSON Occupational income score Puerto Rico 2010: Persons age 16+ who worked during the last 5 years [discrepancies: none] This variable indicates the person's occupational income score. 00 NIU (not in universe) 03 3 04 4 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 45 45 46 46 48 48 49 49 52 52 54 54 62 62 63 63 80 80 Work Variables -- PERSON Duncan Socioeconomic Index Puerto Rico 2010: Persons age 16+ who worked during the last 5 years [discrepancies: none] This variable indicates the person's Duncan Socioeconomic Index score. 00 NIU (not in universe) 04 4 05 5 06 6 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 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 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 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 84 84 86 86 87 87 90 90 92 92 93 93 96 96 Work Variables -- PERSON Industry, 1950 basis [Questions 41-46 were asked of people who worked in the past 5 years.]</p> <p><span class="h3">41-46: Current or more recent job activity.</span> <br />Describe clearly this person's chief job activity or business last week. If this person had more than one job, describe the one at which this person worked the most hours. If this person had no job or business last week, give information for his/her last job or business.</p> <p><span class="em">43. What kind of business or industry was this?</span><div class="i1">Describe the activity at the location where employed. (For example: hospital, newspaper publishing, mail order house, auto engine manufacturing, bank) <br />____</div> Puerto Rico 2010: Persons age 16+ who worked during the last 5 years [discrepancies: none] This variable indicates the industry (1950 basis) in which the person works. 000 NIU (not in universe) 105 Agriculture 116 Forestry 126 Fisheries 226 Crude petroleum and natural gas extraction 236 Nonmetallic mining and quarrying, except fuel 246 Construction 307 Sawmills, planing mills, and mill work 309 Furniture and fixtures 316 Glass and glass products 317 Cement, concrete, gypsum and plaster products 318 Structural clay 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 386 Professional equipment and supplies 387 Photographic equipment and supplies 399 Miscellaneous manufacturing industries 406 Meat products 407 Dairy products 408 Canning and preserving fruits, vegetables, and seafoods 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 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 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 488 Footwear, except rubber 489 Leather products, except footwear 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 586 Electric light and power 587 Gas and steam supply systems 588 Electric-gas utilities 596 Water supply 597 Sanitary services 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 646 General merchandise 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 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 936 Local public administration Work: Industry Variables -- PERSON Class of worker [Questions 41-46 were asked of people who worked in the past 5 years.]</p> <p><span class="h3">41-46: Current or more recent job activity.</span> <br />Describe clearly this person's chief job activity or business last week. If this person had more than one job, describe the one at which this person worked the most hours. If this person had no job or business last week, give information for his/her last job or business.</p> <p><span class="em">41. Was this person:</span><div class="i1">Mark (X) in one box<br /><br />[] An employee of a private for profit company or business, or of an individual, for wages, salary, or commissions?<br />[] An employee of a private not for profit, tax-exempt, or charitable organization?<br />[] A local government employee (city, county, etc.)?<br />[] A state government employee?<br />[] a Federal government employee?<br />[] Self- employed in own not incorporated business, professional practice, or farm?<br />[] Self- employed in own incorporated business, professional practice, or farm?<br />[] Working without pay in family business or farm?</div> Puerto Rico 2010: Persons age 16+ who worked during the last 5 years [discrepancies: none] This variable indicates whether respondents worked for their own enterprise(s) or for someone else as employees. 00 NIU (not in universe) 13 Self-employed, not incorporated 14 Self-employed, incorporated 22 Wage/salary, private 23 Wage/salary at non-profit 25 Federal government employee 27 State government employee (in Puerto Rico, Commonwealth) 28 Local government employee 29 Unpaid family worker Work Variables -- PERSON Weeks worked last year, intervalled Puerto Rico 2010: Persons age 16+ who worked last year [discrepancies: none] This variable indicates the number of weeks the person worked last year in intervals. 0 NIU (not in universe) 1 1-13 weeks 2 14-26 weeks 3 27-39 weeks 4 40-47 weeks 5 48-49 weeks 6 50-52 weeks Work Variables -- PERSON Years in Puerto Rico Puerto Rico 2010: Persons born outside Puerto Rico [discrepancies: type I none; type II 0.2%] This variable indicates the number of years the person has lived in Puerto Rico. 00 Less than 1 year 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 68 68 69 69 70 70 72 72 75 75 79 79 80 80 99 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Worked last year [Questions 35-38 were asked of people who did not work last week.]</p> <p><span class="em">38. When did this person last work, even for a few days?</span><div class="i1">[] Within the past 12 months<br />[] 1 to 5 years ago -- Skip to L<br />[] Over 5 years ago or never worked -- Skip to question 47</div> 39a-39b. Refer to the instructions for question 29a-29b to determine what to count as work. Include paid vacation, paid sick leave, and military service. Count every week in which the person worked at all, even for an hour. Puerto Rico 2010: Persons age 16+ [discrepancies: none] This variable indicates whether the person worked last year. 0 NIU (not in universe) 1 No 2 No, but worked 1-5 years ago 3 Yes Work Variables -- PERSON Absent from work last week [Questions 35-38 were asked of people who did not work last week.]</p> <p><span class="em">35. b) Last week, was this person temporarily absent from a job or business?</span><div class="i1">[] Yes, on vacation, temporary illness, labor dispute, etc., -- Skip to question 38<br />[] No -- Skip to question 36</div> <span class="em">Answer person questions 35a through 38 only if the person did not work last week. </span></p> <p>35a. Persons are on layoff if they are waiting to be recalled to a job from which they were temporarily separated for business-related reasons.</p> <p>35b. If the person works only during certain seasons or on a day-by-day basis when work is available, mark the "No" box.</p> <p>35c. If the person was informed by his or her employer, either formally or informally, that they will be recalled within the next 6 months, mark the "Yes" box. Also mark the "Yes" box if the person has been given, formally or informally, a specific date to return to work, even if that date is more than 6 months away. Puerto Rico 2010: Persons age 16+ [discrepancies: none] This variable indicates whether the person was absent from work last week. 0 NIU (not in universe) 1 No 3 Yes, other reason (vacation, illness, labor dispute, etc.) 4 Not reported Work Variables -- PERSON Looking for work [Questions 35-38 were asked of people who did not work last week.]</p> <p><span class="em">36. During the last 4 weeks, has this person been actively looking for work?</span><div class="i1">[] Yes<br />[] No -- Skip to question 38</div> <span class="em">Answer person questions 35a through 38 only if the person did not work last week. </span></p> <p>36. Mark the "Yes" box if the person tried to get a job or start a business or professional practice at any time in the last 4 weeks; for example, registered at an public or private employment office, went to a job interview, placed or answered employment ads, or did anything toward starting a business or professional practice. Puerto Rico 2010: Persons age 16+ [discrepancies: none] This variable indicates whether or not persons who did not work during the previous week had actively sought a job or pursued opening their own business or professional practice within the past four weeks. 0 NIU (not in universe) 1 No, did not look for work 2 Yes, looked for work 3 Not reported Work Variables -- PERSON Available for work [Questions 35-38 were asked of people who did not work last week.]</p> <p><span class="em">37. Last week, could this person have started a job if offered one, or returned to work if recalled?</span><div class="i1">[] Yes, could have gone to work<br />[] No, because of own temporary illness<br />[] No, because of all other reasons (in school, etc.)</div> <span class="em">Answer person questions 35a through 38 only if the person did not work last week. </span></p> <p>37. If the person was expecting to report to a job within 30 days, mark the "Yes, could have gone to work" box.</p> <p>Mark the "No, because of own temporary illness" box only if the person expects to be able to work within 30 days.</p> <p>If the person could not have gone to work because he or she was going to school, taking care of children, etc., mark the "No, because of all other reasons (in school, etc.)" box. Puerto Rico 2010: Persons age 16+ [discrepancies: none] This variable indicates whether the person was available for work. 0 NIU (not in universe) 2 No, temporarily ill 3 No, other reason(s) 4 Yes, available for work 5 Not reported Work Variables -- PERSON Wage and salary income [Questions 47-48 were asked of all persons.]</p> <p><span class="em">47. Income in the past 12months.</span> <br />Mark (X) the "yes" box for each type of income this person received, and give your best estimate of the total amount during the past 12 months. (Note: The "past 12 months" is the period from today's date one year ago up through today.)</p> <p>Mark (X) the "no" box to show types of income not received</p> <p>If net income was a loss, mark the "loss" box.</p> <p>For income received jointly, report the appropriate share for each person. Or, if that's not possible, report the whole amount for only one person and mark the "no" box for the other person.</p> <div class="i1"><span class="em">a) Wages, salary, commissions, bonuses, or tips from all jobs.</span></div><div class="i2">Report amount before deductions for taxes, bonds, dues, or other items<br /><br />[] Yes</div><div class="i3">$_ _ _ _ _ _.00 (Total amount for the past 12 months)</div><div class="i2">[] No</div> <span class="em">Answer person questions 47 through 48 only if this person is 15 years old or over.</span></p> <p>Mark the "Yes" or "No" box for each type of income, and enter the amount received <span class="em">in the past 12 months</span> for each "Yes" response.</p> <p>If income from any source was received jointly by household members, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and mark the "No" box for the other person.</p> <p>When reporting income received jointly, <span class="em">do not</span> include the amount for a person not listed on pages 2, 3, or 4.</p> <p><span class="em">Do not</span> include the following as income in any item:</p> <ul class="b1"> <li>Refunds or rebates of any kind</li> <li>Withdrawals from savings of any kind</li> <li>Capital gains or losses from the sale of homes, shares of stock, etc.</li> <li>Inheritances or insurance settlements</li> <li>Any type of loan</li> <li>Pay in-kind such as food, free rent</li> </ul><p>47a. Include wages and salaries before deductions from all jobs. Be sure to include any tips, commissions, or bonuses. Owners of incorporated businesses should enter their salary here. Military personnel should include base pay plus cash housing and/or subsistence allowance, flight pay, uniform allotments, reenlistment bonuses.</p> <p>47b. Include nonfarm profit (or loss) from self-employment in sole proprietorships and partnerships. Exclude profit (or loss) of incorporated businesses the person owns.</p> <p>Include farm profit (or loss) from self-employment in sole proprietorships and partnerships. </p> <p>Exclude profit (or loss) of incorporated farm businesses you own. Also exclude amounts from land rented for cash but include amounts from land rented for shares.</p> <p>47c. Include interest received or credited to checking and saving accounts, money market funds, certificates of deposit (CDs), IRAs, KEOGHs, and government bonds.</p> <p>Include dividends received, credited, or reinvested from ownership of stocks or mutual funds.</p> <p>Include profit (or loss) from royalties and the rental of land, buildings or real estate, or from roomers or boarders. Income received by self-employed persons whose primary source of income is from renting property or from royalties should be included in question 47b above. </p> <p>Include regular payments from an estate or trust fund.</p> <p>47d. Include amounts, before Medicare deductions, of Social Security and/or Railroad Retirement payments to retired persons, to dependents of deceased insured workers, and to disabled workers.</p> <p>47e. Include Supplemental Security Income (SSI) received by elderly, blind, or disabled persons.</p> <p>47f. Include any public assistance or welfare payments the person receives from the state or county welfare office. Do not include assistance received from private charities. Do not include assistance to pay heating or cooling costs.</p> <p>47g. Include retirement, survivor or disability benefits received from companies and unions, Federal, state, and local governments, and the U.S. military. Include regular income from annuities and IRA or KEOGH retirement plans.</p> <p>47h. Include Veterans' (VA) disability compensation and educational assistance payments (VEAP); unemployment compensation, child support or alimony; and all other regular payments such as Armed Forces transfer payments, assistance from private charities, regular contributions from persons not living in the household. Puerto Rico 2010: Persons age 16+ [discrepancies: none] This variable indicates the person's wage and salary income. PR2010A_0448 is a 6-digit numeric variable. Codes173000= 173000+. 999999= NIU. Income Variables -- PERSON Social Security income [Questions 47-48 were asked of all persons.]</p> <p><span class="em">47. Income in the past 12months.</span> <br />Mark (X) the "yes" box for each type of income this person received, and give your best estimate of the total amount during the past 12 months. (Note: The "past 12 months" is the period from today's date one year ago up through today.)</p> <p>Mark (X) the "no" box to show types of income not received</p> <p>If net income was a loss, mark the "loss" box.</p> <p>For income received jointly, report the appropriate share for each person. Or, if that's not possible, report the whole amount for only one person and mark the "no" box for the other person.</p> <div class="i1"><span class="em">d) Social Security or Railroad Retirement</span></div><div class="i2">[] Yes</div><p> </p> <div class="i3">$_ _ _ _ _ _.00 (Total amount for the past 12 months)</div><div class="i2">[] No</div> <span class="em">Answer person questions 47 through 48 only if this person is 15 years old or over.</span></p> <p>Mark the "Yes" or "No" box for each type of income, and enter the amount received <span class="em">in the past 12 months</span> for each "Yes" response.</p> <p>If income from any source was received jointly by household members, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and mark the "No" box for the other person.</p> <p>When reporting income received jointly, <span class="em">do not</span> include the amount for a person not listed on pages 2, 3, or 4.</p> <p><span class="em">Do not</span> include the following as income in any item:</p> <ul class="b1"> <li>Refunds or rebates of any kind</li> <li>Withdrawals from savings of any kind</li> <li>Capital gains or losses from the sale of homes, shares of stock, etc.</li> <li>Inheritances or insurance settlements</li> <li>Any type of loan</li> <li>Pay in-kind such as food, free rent</li> </ul><p>47a. Include wages and salaries before deductions from all jobs. Be sure to include any tips, commissions, or bonuses. Owners of incorporated businesses should enter their salary here. Military personnel should include base pay plus cash housing and/or subsistence allowance, flight pay, uniform allotments, reenlistment bonuses.</p> <p>47b. Include nonfarm profit (or loss) from self-employment in sole proprietorships and partnerships. Exclude profit (or loss) of incorporated businesses the person owns.</p> <p>Include farm profit (or loss) from self-employment in sole proprietorships and partnerships. </p> <p>Exclude profit (or loss) of incorporated farm businesses you own. Also exclude amounts from land rented for cash but include amounts from land rented for shares.</p> <p>47c. Include interest received or credited to checking and saving accounts, money market funds, certificates of deposit (CDs), IRAs, KEOGHs, and government bonds.</p> <p>Include dividends received, credited, or reinvested from ownership of stocks or mutual funds.</p> <p>Include profit (or loss) from royalties and the rental of land, buildings or real estate, or from roomers or boarders. Income received by self-employed persons whose primary source of income is from renting property or from royalties should be included in question 47b above. </p> <p>Include regular payments from an estate or trust fund.</p> <p>47d. Include amounts, before Medicare deductions, of Social Security and/or Railroad Retirement payments to retired persons, to dependents of deceased insured workers, and to disabled workers.</p> <p>47e. Include Supplemental Security Income (SSI) received by elderly, blind, or disabled persons.</p> <p>47f. Include any public assistance or welfare payments the person receives from the state or county welfare office. Do not include assistance received from private charities. Do not include assistance to pay heating or cooling costs.</p> <p>47g. Include retirement, survivor or disability benefits received from companies and unions, Federal, state, and local governments, and the U.S. military. Include regular income from annuities and IRA or KEOGH retirement plans.</p> <p>47h. Include Veterans' (VA) disability compensation and educational assistance payments (VEAP); unemployment compensation, child support or alimony; and all other regular payments such as Armed Forces transfer payments, assistance from private charities, regular contributions from persons not living in the household. Puerto Rico 2010: Persons age 15+ [discrepancies: none] This variable indicates the person's Social Security income. PR2010A_0449 is a 6-digit numeric variable. Codes999999= NIU. Income Variables -- PERSON Welfare (public assistance) income [Questions 47-48 were asked of all persons.]</p> <p><span class="em">47. Income in the past 12months.</span> <br />Mark (X) the "yes" box for each type of income this person received, and give your best estimate of the total amount during the past 12 months. (Note: The "past 12 months" is the period from today's date one year ago up through today.)</p> <p>Mark (X) the "no" box to show types of income not received</p> <p>If net income was a loss, mark the "loss" box.</p> <p>For income received jointly, report the appropriate share for each person. Or, if that's not possible, report the whole amount for only one person and mark the "no" box for the other person.</p> <div class="i1"><span class="em">f) Any public assistance or welfare payments from the state or local welfare office.</span></div><div class="i2">[] Yes</div><div class="i3">$_ _ _ _ _ _.00 (Total amount for the past 12 months)</div><div class="i2">[] No</div> <span class="em">Answer person questions 47 through 48 only if this person is 15 years old or over.</span></p> <p>Mark the "Yes" or "No" box for each type of income, and enter the amount received <span class="em">in the past 12 months</span> for each "Yes" response.</p> <p>If income from any source was received jointly by household members, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and mark the "No" box for the other person.</p> <p>When reporting income received jointly, <span class="em">do not</span> include the amount for a person not listed on pages 2, 3, or 4.</p> <p><span class="em">Do not</span> include the following as income in any item:</p> <ul class="b1"> <li>Refunds or rebates of any kind</li> <li>Withdrawals from savings of any kind</li> <li>Capital gains or losses from the sale of homes, shares of stock, etc.</li> <li>Inheritances or insurance settlements</li> <li>Any type of loan</li> <li>Pay in-kind such as food, free rent</li> </ul><p>47a. Include wages and salaries before deductions from all jobs. Be sure to include any tips, commissions, or bonuses. Owners of incorporated businesses should enter their salary here. Military personnel should include base pay plus cash housing and/or subsistence allowance, flight pay, uniform allotments, reenlistment bonuses.</p> <p>47b. Include nonfarm profit (or loss) from self-employment in sole proprietorships and partnerships. Exclude profit (or loss) of incorporated businesses the person owns.</p> <p>Include farm profit (or loss) from self-employment in sole proprietorships and partnerships. </p> <p>Exclude profit (or loss) of incorporated farm businesses you own. Also exclude amounts from land rented for cash but include amounts from land rented for shares.</p> <p>47c. Include interest received or credited to checking and saving accounts, money market funds, certificates of deposit (CDs), IRAs, KEOGHs, and government bonds.</p> <p>Include dividends received, credited, or reinvested from ownership of stocks or mutual funds.</p> <p>Include profit (or loss) from royalties and the rental of land, buildings or real estate, or from roomers or boarders. Income received by self-employed persons whose primary source of income is from renting property or from royalties should be included in question 47b above. </p> <p>Include regular payments from an estate or trust fund.</p> <p>47d. Include amounts, before Medicare deductions, of Social Security and/or Railroad Retirement payments to retired persons, to dependents of deceased insured workers, and to disabled workers.</p> <p>47e. Include Supplemental Security Income (SSI) received by elderly, blind, or disabled persons.</p> <p>47f. Include any public assistance or welfare payments the person receives from the state or county welfare office. Do not include assistance received from private charities. Do not include assistance to pay heating or cooling costs.</p> <p>47g. Include retirement, survivor or disability benefits received from companies and unions, Federal, state, and local governments, and the U.S. military. Include regular income from annuities and IRA or KEOGH retirement plans.</p> <p>47h. Include Veterans' (VA) disability compensation and educational assistance payments (VEAP); unemployment compensation, child support or alimony; and all other regular payments such as Armed Forces transfer payments, assistance from private charities, regular contributions from persons not living in the household. Puerto Rico 2010: Persons age 15+ [discrepancies: none] This variable indicates the person's welfare (public assistance) income. 00000 0 00010 10 00020 20 00050 50 00060 60 00070 70 00080 80 00090 90 00100 100 00110 110 00120 120 00130 130 00140 140 00150 150 00170 170 00180 180 00190 190 00200 200 00220 220 00230 230 00240 240 00250 250 00260 260 00270 270 00290 290 00300 300 00320 320 00340 340 00350 350 00360 360 00380 380 00400 400 00410 410 00430 430 00440 440 00450 450 00480 480 00500 500 00530 530 00540 540 00570 570 00600 600 00630 630 00640 640 00650 650 00660 660 00670 670 00700 700 00720 720 00740 740 00750 750 00760 760 00770 770 00780 780 00800 800 00810 810 00820 820 00830 830 00840 840 00850 850 00860 860 00880 880 00890 890 00900 900 00950 950 00960 960 00970 970 00980 980 00990 990 01000 1000 01100 1100 01200 1200 01300 1300 01400 1400 01500 1500 01600 1600 01700 1700 01800 1800 01900 1900 02000 2000 02100 2100 02200 2200 02300 2300 02400 2400 02500 2500 02600 2600 02700 2700 02800 2800 02900 2900 03000 3000 03100 3100 03200 3200 03300 3300 03400 3400 03500 3500 03600 3600 03700 3700 03800 3800 03900 3900 04000 4000 04100 4100 04200 4200 04300 4300 04400 4400 04500 4500 04600 4600 04700 4700 04800 4800 04900 4900 05000 5000 05200 5200 05300 5300 05400 5400 05500 5500 05600 5600 06000 6000 06100 6100 06300 6300 06700 6700 06900 6900 07200 7200 07600 7600 08200 8200 08400 8400 09800 9800 11200 11200 11400 11400 12000 12000 13400 13400 14400 14400 17300 17300 19800 19800 24000 24000 99999 NIU (not in universe) Income Variables -- PERSON Interest, dividend, and rental income [Questions 47-48 were asked of all persons.]</p> <p><span class="em">47. Income in the past 12months.</span> <br />Mark (X) the "yes" box for each type of income this person received, and give your best estimate of the total amount during the past 12 months. (Note: The "past 12 months" is the period from today's date one year ago up through today.)</p> <p>Mark (X) the "no" box to show types of income not received</p> <p>If net income was a loss, mark the "loss" box.</p> <p>For income received jointly, report the appropriate share for each person. Or, if that's not possible, report the whole amount for only one person and mark the "no" box for the other person.</p> <div class="i1"><span class="em">c) Interest, dividends, net rental income, royalty income, or income from estates and trusts.</span></div><div class="i2">Report even small amounts credited to an account<br /><br />[] Yes</div><div class="i3">$_ _ _ _ _ _.00 (Total amount for the past 12 months)</div><div class="i2">[] No<br />[] Loss</div> <span class="em">Answer person questions 47 through 48 only if this person is 15 years old or over.</span></p> <p>Mark the "Yes" or "No" box for each type of income, and enter the amount received <span class="em">in the past 12 months</span> for each "Yes" response.</p> <p>If income from any source was received jointly by household members, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and mark the "No" box for the other person.</p> <p>When reporting income received jointly, <span class="em">do not</span> include the amount for a person not listed on pages 2, 3, or 4.</p> <p><span class="em">Do not</span> include the following as income in any item:</p> <ul class="b1"> <li>Refunds or rebates of any kind</li> <li>Withdrawals from savings of any kind</li> <li>Capital gains or losses from the sale of homes, shares of stock, etc.</li> <li>Inheritances or insurance settlements</li> <li>Any type of loan</li> <li>Pay in-kind such as food, free rent</li> </ul><p>47a. Include wages and salaries before deductions from all jobs. Be sure to include any tips, commissions, or bonuses. Owners of incorporated businesses should enter their salary here. Military personnel should include base pay plus cash housing and/or subsistence allowance, flight pay, uniform allotments, reenlistment bonuses.</p> <p>47b. Include nonfarm profit (or loss) from self-employment in sole proprietorships and partnerships. Exclude profit (or loss) of incorporated businesses the person owns.</p> <p>Include farm profit (or loss) from self-employment in sole proprietorships and partnerships. </p> <p>Exclude profit (or loss) of incorporated farm businesses you own. Also exclude amounts from land rented for cash but include amounts from land rented for shares.</p> <p>47c. Include interest received or credited to checking and saving accounts, money market funds, certificates of deposit (CDs), IRAs, KEOGHs, and government bonds.</p> <p>Include dividends received, credited, or reinvested from ownership of stocks or mutual funds.</p> <p>Include profit (or loss) from royalties and the rental of land, buildings or real estate, or from roomers or boarders. Income received by self-employed persons whose primary source of income is from renting property or from royalties should be included in question 47b above. </p> <p>Include regular payments from an estate or trust fund.</p> <p>47d. Include amounts, before Medicare deductions, of Social Security and/or Railroad Retirement payments to retired persons, to dependents of deceased insured workers, and to disabled workers.</p> <p>47e. Include Supplemental Security Income (SSI) received by elderly, blind, or disabled persons.</p> <p>47f. Include any public assistance or welfare payments the person receives from the state or county welfare office. Do not include assistance received from private charities. Do not include assistance to pay heating or cooling costs.</p> <p>47g. Include retirement, survivor or disability benefits received from companies and unions, Federal, state, and local governments, and the U.S. military. Include regular income from annuities and IRA or KEOGH retirement plans.</p> <p>47h. Include Veterans' (VA) disability compensation and educational assistance payments (VEAP); unemployment compensation, child support or alimony; and all other regular payments such as Armed Forces transfer payments, assistance from private charities, regular contributions from persons not living in the household. Puerto Rico 2010: Persons age 15+ [discrepancies: none] This variable indicates the person's interest, dividend, and rental income. -05700 -5700+ 000000 0 000001 1 000004 4 000010 10 000020 20 000030 30 000040 40 000050 50 000060 60 000070 70 000080 80 000090 90 000100 100 000120 120 000130 130 000140 140 000150 150 000160 160 000170 170 000190 190 000200 200 000250 250 000290 290 000300 300 000330 330 000360 360 000380 380 000400 400 000470 470 000490 490 000500 500 000550 550 000560 560 000600 600 000700 700 000750 750 000800 800 000900 900 000910 910 000990 990 001000 1000 001100 1100 001200 1200 001300 1300 001400 1400 001500 1500 001600 1600 001800 1800 001900 1900 002000 2000 002100 2100 002300 2300 002400 2400 002500 2500 002600 2600 002800 2800 002900 2900 003000 3000 003100 3100 003200 3200 003300 3300 003500 3500 003600 3600 003700 3700 003800 3800 003900 3900 004000 4000 004100 4100 004200 4200 004400 4400 004500 4500 004800 4800 004900 4900 005000 5000 005100 5100 005200 5200 005300 5300 005400 5400 005600 5600 005700 5700 005800 5800 005900 5900 006000 6000 006300 6300 006400 6400 006500 6500 006600 6600 006800 6800 006900 6900 007000 7000 007100 7100 007200 7200 007400 7400 007500 7500 007600 7600 007800 7800 007900 7900 008000 8000 008100 8100 008400 8400 008500 8500 008600 8600 008700 8700 008800 8800 009000 9000 009200 9200 009500 9500 009600 9600 009900 9900 010000 10000 010200 10200 010400 10400 010500 10500 010600 10600 010700 10700 010800 10800 011000 11000 011100 11100 011300 11300 011500 11500 011700 11700 012000 12000 012200 12200 012500 12500 012900 12900 013000 13000 013200 13200 013500 13500 013600 13600 014000 14000 014300 14300 014400 14400 014500 14500 014900 14900 015000 15000 015600 15600 016000 16000 016200 16200 016800 16800 017000 17000 018000 18000 020000 20000 020400 20400 021000 21000 021200 21200 021800 21800 022800 22800 023000 23000 024000 24000 024100 24100 024500 24500 024600 24600 025000 25000 026000 26000 026400 26400 027000 27000 027600 27600 028200 28200 029100 29100 030000 30000 030500 30500 031100 31100 031900 31900 032300 32300 032400 32400 035000 35000 036000 36000 038000 38000 040000 40000 048000 48000 049800 49800 050000 50000 055000 55000 060000 60000 065000 65000 067000 67000 069000 69000 073000 73000 075000 75000 080000 80000 090000 90000 094000 94000 096000 96000 262000 262000+ 999999 NIU (not in universe) Income Variables -- PERSON Other income [Questions 47-48 were asked of all persons.]</p> <p><span class="em">47. Income in the past 12months.</span> <br />Mark (X) the "yes" box for each type of income this person received, and give your best estimate of the total amount during the past 12 months. (Note: The "past 12 months" is the period from today's date one year ago up through today.)</p> <p>Mark (X) the "no" box to show types of income not received</p> <p>If net income was a loss, mark the "loss" box.</p> <p>For income received jointly, report the appropriate share for each person. Or, if that's not possible, report the whole amount for only one person and mark the "no" box for the other person.</p> <div class="i1"><span class="em">h) Any such other sources of income received regularly such as Veterans' (VA) payments, unemployment compensation, child support or alimony.</span></div><div class="i2">Do not include lump sum payments such as money from an inheritance or the sale of a home<br /><br />[] Yes</div><div class="i3">$_ _ _ _ _ _.00 (Total amount for the past 12 months)</div><div class="i2">[] No</div> <span class="em">Answer person questions 47 through 48 only if this person is 15 years old or over.</span></p> <p>Mark the "Yes" or "No" box for each type of income, and enter the amount received <span class="em">in the past 12 months</span> for each "Yes" response.</p> <p>If income from any source was received jointly by household members, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and mark the "No" box for the other person.</p> <p>When reporting income received jointly, <span class="em">do not</span> include the amount for a person not listed on pages 2, 3, or 4.</p> <p><span class="em">Do not</span> include the following as income in any item:</p> <ul class="b1"> <li>Refunds or rebates of any kind</li> <li>Withdrawals from savings of any kind</li> <li>Capital gains or losses from the sale of homes, shares of stock, etc.</li> <li>Inheritances or insurance settlements</li> <li>Any type of loan</li> <li>Pay in-kind such as food, free rent</li> </ul><p>47a. Include wages and salaries before deductions from all jobs. Be sure to include any tips, commissions, or bonuses. Owners of incorporated businesses should enter their salary here. Military personnel should include base pay plus cash housing and/or subsistence allowance, flight pay, uniform allotments, reenlistment bonuses.</p> <p>47b. Include nonfarm profit (or loss) from self-employment in sole proprietorships and partnerships. Exclude profit (or loss) of incorporated businesses the person owns.</p> <p>Include farm profit (or loss) from self-employment in sole proprietorships and partnerships. </p> <p>Exclude profit (or loss) of incorporated farm businesses you own. Also exclude amounts from land rented for cash but include amounts from land rented for shares.</p> <p>47c. Include interest received or credited to checking and saving accounts, money market funds, certificates of deposit (CDs), IRAs, KEOGHs, and government bonds.</p> <p>Include dividends received, credited, or reinvested from ownership of stocks or mutual funds.</p> <p>Include profit (or loss) from royalties and the rental of land, buildings or real estate, or from roomers or boarders. Income received by self-employed persons whose primary source of income is from renting property or from royalties should be included in question 47b above. </p> <p>Include regular payments from an estate or trust fund.</p> <p>47d. Include amounts, before Medicare deductions, of Social Security and/or Railroad Retirement payments to retired persons, to dependents of deceased insured workers, and to disabled workers.</p> <p>47e. Include Supplemental Security Income (SSI) received by elderly, blind, or disabled persons.</p> <p>47f. Include any public assistance or welfare payments the person receives from the state or county welfare office. Do not include assistance received from private charities. Do not include assistance to pay heating or cooling costs.</p> <p>47g. Include retirement, survivor or disability benefits received from companies and unions, Federal, state, and local governments, and the U.S. military. Include regular income from annuities and IRA or KEOGH retirement plans.</p> <p>47h. Include Veterans' (VA) disability compensation and educational assistance payments (VEAP); unemployment compensation, child support or alimony; and all other regular payments such as Armed Forces transfer payments, assistance from private charities, regular contributions from persons not living in the household. Puerto Rico 2010: Persons age 15+ [discrepancies: none] This variable is a residual variable reporting how much of each respondent's total money income (or losses) came from sources not included in the other person-record income variables. The reference period was the past 12 months. PR2010A_0452 is a 5-digit numeric variable. Codes35300=35300+. 99999= NIU. Income Variables -- PERSON Migration status, 1 year [Question 13- 17 were asked of all persons.]</p> <p><span class="em">15. a) Did this person live in this house or apartment 1 year ago?</span><div class="i1">[] Person is under 1 year old - Skip to question 16<br />[] Yes, this house - Skip to question 16<br />[] No, outside the United States and Puerto Rico</div><div class="i2">Print name of foreign country, or U.S. Virgin Islands, Guam, etc., below; then skip to question 16.<br />____</div><div class="i1">[] No, different house in the United States or Puerto Rico</div> Puerto Rico 2010: Persons age 1+ [discrepancies: none] This variable indicates whether the person had changed residence since a reference point 1 year ago. 00 NIU (not in universe) 10 Same house 32 Moved between non-contiguous states 40 Abroad one year ago Migration: Global Variables -- PERSON State or country of residence 1 year ago [Question 13- 17 were asked of all persons.]</p> <p><span class="em">15. b) Where did this person live 1 year ago?</span><div class="i1">Address (Development or condominium name, number and street name) ____<br />Name of city, town, or post office ____<br />Name or U.S. county or <span class="lang">municipio</span> in Puerto Rico ____<br />Name of U.S. state or Puerto Rico ____<br />Zip Code _ _ _ _ _</div> 15a. If the person did not live in Puerto Rico or the United States one year ago, mark the "No, outside Puerto Rico and the United States" box and print the name of the foreign country, or U.S. Virgin Islands, Guam, etc., where the person lived. Be specific when printing the name of foreign country, for example, specify whether Northern Ireland or the Republic of Ireland (Eire); North or South Korea; England, Scotland or Wales (not Great Britain or United Kingdom). Specify the particular country or island in the Caribbean (not, for example, West Indies). Then skip to question 16.</p> <p>If the person lived somewhere else in the United States one year ago, mark the "No, different house in the United States" box.</p> <p>15b. Include the house or structure number; street name; street type (for example, St., Road, Ave.); and the street direction (if a direction such as "North" is part of the address). For example, print 1239 N. Main St. or 1239 Main St., N.W., not just 1239 Main. If the person lived in Puerto Rico, the address should also include the name of the development or condominium.</p> <p>If the only known address is a post office box, give a description of the residence location. For example, print the name of the building where the person lived, the nearest intersection, the name of a military base or installation, or the nearest street where the residence was located, etc. <span class="em">Do not give a post office box number.</span></p> <p>Print the name of <span class="lang">municipio</span> (municipality) in Puerto Rico or U.S. county. If the person lived in Louisiana, print the parish name in the "Name of <span class="lang">municipio </span>in Puerto Rico or U.S. county" space. If the person lived in Alaska, print the borough or census area name, if known. If the person lived in New York City and the county name is not known, print the borough name. If the person lived in an independent city (not in any county) or in Washington, D.C., leave the "Name of <span class="lang">municipio </span>in Puerto Rico or U.S. county" space blank. Puerto Rico 2010: Persons age 1+ who moved last year [discrepancies: none] This variable indicates the person's state or country of residence 1 year ago. 000 NIU (not in universe) 001 Alabama 002 Alaska 006 California 008 Colorado 009 Connecticut 012 Florida 017 Illinois 018 Indiana 020 Kansas 021 Kentucky 022 Louisiana 024 Maryland 025 Massachusetts 027 Minnesota 028 Mississippi 029 Missouri 034 New Jersey 035 New Mexico 036 New York 037 North Carolina 039 Ohio 042 Pennsylvania 044 Rhode Island 045 South Carolina 047 Tennessee 048 Texas 049 Utah 051 Virginia 054 West Virginia 055 Wisconsin 110 Puerto Rico 120 Other US Possessions 200 Mexico 219 Central America, n.e.c. 261 Dominican Republic 325 Colombia 390 South America, n.e.c. 413 United Kingdom (excluding England: 2005ACS) 421 France 435 Italy 523 Iraq 699 Africa, n.e.c. Migration: Global Variables -- PERSON Metropolitan area of residence 1 year ago [Question 13- 17 were asked of all persons.]</p> <p><span class="em">15. b) Where did this person live 1 year ago?</span><div class="i1">Address (Development or condominium name, number and street name) ____<br />Name of city, town, or post office ____<br />Name or U.S. county or <span class="lang">municipio</span> in Puerto Rico ____<br />Name of U.S. state or Puerto Rico ____<br />Zip Code _ _ _ _ _</div> Puerto Rico 2010: Persons age 1+ who moved within Puerto Rico and USA [discrepancies: type I none; type II 2.6%] This variable indicates the person's metropolitan area of the residence 1 year ago. 0000 NIU (not in universe) 0060 Aguadilla, PR 0160 Albany-Schenectady-Troy, NY 0200 Albuquerque, NM 0240 Allentown-Bethlehem-Easton, PA 0470 Arecibo, PR 0560 Atlantic City, NJ 1000 Birmingham, AL 1120 Boston, MA 1121 Lawrence-Haverhill, MA/NH 1280 Buffalo, NY 1315 Caguas, PR 1600 Chicago, IL 1680 Hamilton-Middleton, OH 1920 Dallas, TX 2020 Daytona Beach, FL 2180 Dothan, AL 2310 El Paso, TX 2560 Fayetteville, NC 2600 Fitchburg-Leominster, MA 2680 Fort Lauderdale-Hollywood-Pompano Beach, FL 2700 Fort Myers-Cape Coral, FL 2710 Fort Pierce, FL 3160 Greenville, SC 3240 Harrisburg, PA 3280 Hartford, CT 3360 Houston, TX 3560 Jackson, MS 3590 Jacksonville, FL 3980 Lakeland-Winterhaven, FL 4280 Lexington-Fayette, KY 4480 Los Angeles, CA 4520 Louisville, KY/IN 4900 Melbourne-Titusville-Cocoa-Palm Bay, FL 5080 Milwaukee, WI 5340 Naples, FL 5360 Nashville, TN 5480 New Haven, CT 5560 New Orleans, LA 5600 New York-Northeastern NJ 5601 Nassau-Suffolk, NY 5602 Bergen-Passaic, NJ 5604 Middlesex-Somerset-Hunterdon, NJ 5720 Norfolk-Portsmouth, VA 5790 Ocala, FL 5960 Orlando, FL 6160 Philadelphia, PA/NJ 6360 Ponce, PR 6480 Providence, RI 6680 Reading, PA 6760 Richmond, VA 6780 Riverside, CA 7160 Salt Lake City, UT 7240 San Antonio, TX 7361 Oakland, CA 7440 San Juan-Bayamon, PR 7680 Shreveport, LA 8000 Springfield-Holyoke, MA 8280 Tampa-St. Petersburg, FL 8840 Washington, DC/MD/VA 8960 West Palm Beach-Boca Raton-Delray Beach, FL 9240 Worcester, MA 9999 Not in a metro area or unknown Migration: Global Variables -- PERSON Metropolitan status 1 year ago [Question 13- 17 were asked of all persons.]</p> <p><span class="em">15. b) Where did this person live 1 year ago?</span><div class="i1">Address (Development or condominium name, number and street name) ____<br />Name of city, town, or post office ____<br />Name or U.S. county or <span class="lang">municipio</span> in Puerto Rico ____<br />Name of U.S. state or Puerto Rico ____<br />Zip Code _ _ _ _ _</div> Puerto Rico 2010: Persons age 1+ who moved last year [discrepancies: none] This variable indicates whether the person lived in a metropolitan area 1 year ago. 0 NIU (not in universe) 1 Not in a metro area 2 In a metro area, central city status unknown 3 Central city 4 Not central city 5 Abroad 9 Unknown Migration: Global Variables -- PERSON When occupant moved into residence [Questions 1-3 were asked of all households.]</p> <p><span class="em">3. When did person 1(listed on page 2) move into this house, apartment, or mobile home?</span><div class="i1">____ Month<br />____ Year</div> Puerto Rico 2010: Persons who are head of household [discrepancies: none] This variable reports the number of years ago that the household head moved into the dwelling unit (apartment, house, or mobile home). 0 NIU (not in universe) 1 This year or last year 2 13 to 23 months 3 2 to 4 years 4 5 to 9 years 5 10 to 19 years 6 20 to 29 years 7 30+ years Migration: Global Variables -- PERSON Place of work: metropolitan status Puerto Rico 2010: Persons age 16+ who were at work last week [discrepancies: type I none; type II 5.4%] This variable indicates whether the person's place of work was in a metropolitan area. 0 NIU (not in universe) 1 In central city 4 Not central city 5 Central city status unknown 7 Outside metropolitan area 9 Not reported/unknown Work Variables -- PERSON Place of work: state, 1980 onward Puerto Rico 2010: Persons age 16+ who were at work last week [discrepancies: none] This variable indicates the state in which the person's place of work was located. 00 NIU (not in universe) 06 California 12 Florida 21 Kentucky 22 Louisiana 24 Maryland 25 Massachusetts 34 New Jersey 36 New York 48 Texas 72 Puerto Rico 81 Europe 83 Other Asia, n.s.; South Central, South East, and Western Asia 87 Iraq Work Variables -- PERSON Independent living difficulty Puerto Rico 2010: Persons age 15+ [discrepancies: none] This variable indicates whether the respondent has any physical, mental, or emotional condition lasting six months or more that makes it difficult or impossible to perform basic activities outside the home alone. This does not include temporary health problems, such as broken bones or pregnancies. 0 NIU (not in universe) 1 No independent living difficulty 2 Has independent living difficulty Disability Variables -- PERSON Self-care difficulty <span class="h3">G - Answer question 18a-c if this person is 5 years old or over. Otherwise, skip to the questions for Person 2 on page 12. </span></p> <p>[Question 18 was asked of persons age 5 and above.]</p> <p><span class="em">c) Does this person have difficulty dressing or bathing?</span><div class="i1">[] Yes<br />[] No</div> <span class="em">Answer person questions 18a through 18c if this person is 5 years old or over. </span></p> <p>18a-18c. Mark the "Yes" or "No" box to indicate if the person has serious difficulty with any of the activities listed in parts a, b, and c because of a physical, mental, or emotional condition. Puerto Rico 2010: Persons age 5+ [discrepancies: none] This variable indicates whether respondents have any physical or mental health condition that has lasted at least 6 months and makes it difficult for them to take care of their own personal needs, such as bathing, dressing, or getting around inside the home. This does not include temporary health conditions, such as broken bones or pregnancies. 0 NIU (not in universe) 1 No 2 Yes Other Person Variables -- PERSON Veteran, served 1980 to 1990 [Question 25 - 31 were asked of all persons.]</p> <p><span class="em">27. When did this person serve on active duty in the U.S. Armed Forces?</span><div class="i1">(Mark (X) a box for each period in which this person served.)<br /><br />[] September 2001 or later<br />[] August 1990 to August 2001 (including Persian Gulf War)<br />[] September 1980 to July 1990<br />[] May 1975 to August 1980<br />[] Vietnam era (August 1964 to April 1975)<br />[] March 1961 to July 1964<br />[] February 1955 to February 1961<br />[] Korean War (June 1950 to January 1955)<br />[] January 1947 to June 1950<br />[] World War II (December 1941 to December 1946)<br />[] November 1941 or earlier</div> 26. For a person with service in the military Reserves, or National Guard, mark a Yes category only if the person has ever been called up for active duty other than for training. For a person whose only service was as a civilian employee or civilian volunteer for the Red Cross, USO, Public Health Service, or War or Defense Department, mark the "No, never served in the military" box. Count World War II Merchant Marine service as active duty; do not count other Merchant Marine service as active duty. Puerto Rico 2010: Persons age 17+ with veteran status [discrepancies: none] This variable indicates whether the person was engaged in active-duty military service in the armed forces of the United States between September 1980 and July 1990. 0 NIU (not in universe) 1 No 2 Yes, served this period Other Person Variables -- PERSON Veteran, served 1975 to 1980 [Question 25 - 31 were asked of all persons.]</p> <p><span class="em">27. When did this person serve on active duty in the U.S. Armed Forces?</span><div class="i1">(Mark (X) a box for each period in which this person served.)<br /><br />[] September 2001 or later<br />[] August 1990 to August 2001 (including Persian Gulf War)<br />[] September 1980 to July 1990<br />[] May 1975 to August 1980<br />[] Vietnam era (August 1964 to April 1975)<br />[] March 1961 to July 1964<br />[] February 1955 to February 1961<br />[] Korean War (June 1950 to January 1955)<br />[] January 1947 to June 1950<br />[] World War II (December 1941 to December 1946)<br />[] November 1941 or earlier</div> 26. For a person with service in the military Reserves, or National Guard, mark a Yes category only if the person has ever been called up for active duty other than for training. For a person whose only service was as a civilian employee or civilian volunteer for the Red Cross, USO, Public Health Service, or War or Defense Department, mark the "No, never served in the military" box. Count World War II Merchant Marine service as active duty; do not count other Merchant Marine service as active duty. Puerto Rico 2010: Persons age 17+ with veteran status [discrepancies: none] This variable indicates whether the person was engaged in active-duty military service in the armed forces of the United States between May 1975 and August 1980. 0 NIU (not in universe) 1 No 2 Yes, served this period Other Person Variables -- PERSON Veteran, served during Vietnam era [Question 25 - 31 were asked of all persons.]</p> <p><span class="em">27. When did this person serve on active duty in the U.S. Armed Forces?</span><div class="i1">(Mark (X) a box for each period in which this person served.)<br /><br />[] September 2001 or later<br />[] August 1990 to August 2001 (including Persian Gulf War)<br />[] September 1980 to July 1990<br />[] May 1975 to August 1980<br />[] Vietnam era (August 1964 to April 1975)<br />[] March 1961 to July 1964<br />[] February 1955 to February 1961<br />[] Korean War (June 1950 to January 1955)<br />[] January 1947 to June 1950<br />[] World War II (December 1941 to December 1946)<br />[] November 1941 or earlier</div> 26. For a person with service in the military Reserves, or National Guard, mark a Yes category only if the person has ever been called up for active duty other than for training. For a person whose only service was as a civilian employee or civilian volunteer for the Red Cross, USO, Public Health Service, or War or Defense Department, mark the "No, never served in the military" box. Count World War II Merchant Marine service as active duty; do not count other Merchant Marine service as active duty. Puerto Rico 2010: Persons age 17+ with veteran status [discrepancies: none] This variable indicates whether the person was engaged in active-duty military service in the armed forces of the United States during the Vietnam era (between August 1964 and April 1975). 0 NIU (not in universe) 1 No 2 Yes, Vietnam-era veteran Other Person Variables -- PERSON Veteran, served 1955 to 1964 [Question 25 - 31 were asked of all persons.]</p> <p><span class="em">27. When did this person serve on active duty in the U.S. Armed Forces?</span><div class="i1">(Mark (X) a box for each period in which this person served.)<br /><br />[] September 2001 or later<br />[] August 1990 to August 2001 (including Persian Gulf War)<br />[] September 1980 to July 1990<br />[] May 1975 to August 1980<br />[] Vietnam era (August 1964 to April 1975)<br />[] March 1961 to July 1964<br />[] February 1955 to February 1961<br />[] Korean War (June 1950 to January 1955)<br />[] January 1947 to June 1950<br />[] World War II (December 1941 to December 1946)<br />[] November 1941 or earlier</div> 26. For a person with service in the military Reserves, or National Guard, mark a Yes category only if the person has ever been called up for active duty other than for training. For a person whose only service was as a civilian employee or civilian volunteer for the Red Cross, USO, Public Health Service, or War or Defense Department, mark the "No, never served in the military" box. Count World War II Merchant Marine service as active duty; do not count other Merchant Marine service as active duty. Puerto Rico 2010: Persons age 17+ with veteran status [discrepancies: none] This variable indicates whether the person was engaged in active-duty military service in the armed forces of the United States between February 1955 and July 1964. 0 NIU (not in universe) 1 No 2 Yes, served this period Other Person Variables -- PERSON Veteran, served during Korean conflict era [Question 25 - 31 were asked of all persons.]</p> <p><span class="em">27. When did this person serve on active duty in the U.S. Armed Forces?</span><div class="i1">(Mark (X) a box for each period in which this person served.)<br /><br />[] September 2001 or later<br />[] August 1990 to August 2001 (including Persian Gulf War)<br />[] September 1980 to July 1990<br />[] May 1975 to August 1980<br />[] Vietnam era (August 1964 to April 1975)<br />[] March 1961 to July 1964<br />[] February 1955 to February 1961<br />[] Korean War (June 1950 to January 1955)<br />[] January 1947 to June 1950<br />[] World War II (December 1941 to December 1946)<br />[] November 1941 or earlier</div> 26. For a person with service in the military Reserves, or National Guard, mark a Yes category only if the person has ever been called up for active duty other than for training. For a person whose only service was as a civilian employee or civilian volunteer for the Red Cross, USO, Public Health Service, or War or Defense Department, mark the "No, never served in the military" box. Count World War II Merchant Marine service as active duty; do not count other Merchant Marine service as active duty. Puerto Rico 2010: Persons age 17+ with veteran status [discrepancies: none] This variable indicates whether the person was engaged in active-duty military service in the armed forces of the United States during the Korean conflict era (between June 1950 and January 1955). 0 NIU (not in universe) 1 No 2 Yes, served this period Other Person Variables -- PERSON Veteran, served during WWII era [Question 25 - 31 were asked of all persons.]</p> <p><span class="em">27. When did this person serve on active duty in the U.S. Armed Forces?</span><div class="i1">(Mark (X) a box for each period in which this person served.)<br /><br />[] September 2001 or later<br />[] August 1990 to August 2001 (including Persian Gulf War)<br />[] September 1980 to July 1990<br />[] May 1975 to August 1980<br />[] Vietnam era (August 1964 to April 1975)<br />[] March 1961 to July 1964<br />[] February 1955 to February 1961<br />[] Korean War (June 1950 to January 1955)<br />[] January 1947 to June 1950<br />[] World War II (December 1941 to December 1946)<br />[] November 1941 or earlier</div> 26. For a person with service in the military Reserves, or National Guard, mark a Yes category only if the person has ever been called up for active duty other than for training. For a person whose only service was as a civilian employee or civilian volunteer for the Red Cross, USO, Public Health Service, or War or Defense Department, mark the "No, never served in the military" box. Count World War II Merchant Marine service as active duty; do not count other Merchant Marine service as active duty. Puerto Rico 2010: Persons age 17+ with veteran status [discrepancies: none] This variable indicates whether the person was engaged in active-duty military service in the armed forces of the United States during the World War II era. 0 NIU (not in universe) 1 No 2 Yes, served this period Other Person Variables -- PERSON Veteran of other period [Question 25 - 31 were asked of all persons.]</p> <p><span class="em">27. When did this person serve on active duty in the U.S. Armed Forces?</span><div class="i1">(Mark (X) a box for each period in which this person served.)<br /><br />[] September 2001 or later<br />[] August 1990 to August 2001 (including Persian Gulf War)<br />[] September 1980 to July 1990<br />[] May 1975 to August 1980<br />[] Vietnam era (August 1964 to April 1975)<br />[] March 1961 to July 1964<br />[] February 1955 to February 1961<br />[] Korean War (June 1950 to January 1955)<br />[] January 1947 to June 1950<br />[] World War II (December 1941 to December 1946)<br />[] November 1941 or earlier</div> 26. For a person with service in the military Reserves, or National Guard, mark a Yes category only if the person has ever been called up for active duty other than for training. For a person whose only service was as a civilian employee or civilian volunteer for the Red Cross, USO, Public Health Service, or War or Defense Department, mark the "No, never served in the military" box. Count World War II Merchant Marine service as active duty; do not count other Merchant Marine service as active duty. Puerto Rico 2010: Persons age 17+ with veteran status [discrepancies: none] This variable indicates whether the person was engaged in active-duty military service in the armed forces of the United States during periods of service not identified in other variables. 0 NIU (not in universe) 1 No 2 Yes, served this period(s) Other Person Variables -- PERSON Means of transportation to work [Question 25 - 31 were asked of all persons.]</p> <p><span class="em">31. How did this person usually get to work last week?</span><div class="i1">If this person usually used more than one method of transportation during the trip, mark (X) the box of the one used for most of the distance<br /><br />[] Car, truck, or van<br />[] Bus or trolley bus<br />[] Streetcar or trolley car<br />[] Subway or elevated<br />[] Railroad<br />[] Ferryboat<br />[] Taxicab<br />[] Motorcycle<br />[] Bicycle<br />[] Walked<br />[] Worked at home -- Skip to question 38a<br />[] Other method</div> <span class="em">Ask person question 32 if you marked "car, truck, or van" in question 31.</span></p> <p>32. If the person was driven to work by someone who then drove back home or to a nonwork destination, enter 1 in the box labeled Person(s).</p> <p><span class="em">Do not </span>include persons who rode to school or some other nonwork destination in the count of persons who rode in the vehicle. Puerto Rico 2010: Persons age 16+ who were at work last week [discrepancies: none] This variable indicates the person's means of transportation to work. 00 NIU (not in universe) 10 Auto, truck, or van 20 Motorcycle 31 Bus or trolley bus 32 Streetcar or trolley car 33 Subway or elevated 34 Railroad 35 Taxicab 36 Ferryboat (launch in Puerto Rico) 40 Bicycle 50 Walked only 60 Other 70 Worked at home Work Variables -- PERSON Carpooling [Question 32 was asked of people who commute to work by car, truck or van.]</p> <p><span class="em">32. How many people, including this person, usually rode to work in the car, truck or van last week?</span><div class="i1">Person(s) _ _</div> <span class="em">Ask person question 32 if you marked "car, truck, or van" in question 31.</span></p> <p>32. If the person was driven to work by someone who then drove back home or to a nonwork destination, enter 1 in the box labeled Person(s).</p> <p><span class="em">Do not </span>include persons who rode to school or some other nonwork destination in the count of persons who rode in the vehicle. Puerto Rico 2010: Persons whose means of transportation was auto, truck, or van [discrepancies: none] This variable indicates whether the person went to work in a carpool last week. 0 NIU (not in universe) 1 Drives alone 2 Carpools Work Variables -- PERSON Vehicle occupancy [Question 32 was asked of people who commute to work by car, truck or van.]</p> <p><span class="em">32. How many people, including this person, usually rode to work in the car, truck or van last week?</span><div class="i1">Person(s) _ _</div> <span class="em">Ask person question 32 if you marked "car, truck, or van" in question 31.</span></p> <p>32. If the person was driven to work by someone who then drove back home or to a nonwork destination, enter 1 in the box labeled Person(s).</p> <p><span class="em">Do not </span>include persons who rode to school or some other nonwork destination in the count of persons who rode in the vehicle. Puerto Rico 2010: Persons whose means of transportation was auto, truck, or van [discrepancies: none] This variable reports how many people (including the respondent) usually rode to work in the vehicle that the respondent took to work during the previous week. This excludes persons who drove or rode in the same vehicle to school, or who returned home after dropping off workers, or who rode to any other non-work location. A worker who rode to work with one or more other people, but who was the only worker in the vehicle, was counted as driving alone. 0 NIU (not in universe) 1 Drives alone 2 2 people 3 3 4 4 5 5 6 6 8 7-9 9 10 or more Work Variables -- PERSON Quarter of birth Puerto Rico 2010: All persons This variable indicates the person's quarter of birth. 1 January-February-March 2 April-May-June 3 July-August-September 4 October-November-December Demographic Variables -- PERSON Place of work: metropolitan area [Question 25 - 31 were asked of all persons.]</p> <p><span class="em">29. a) Last week, did this person work for pay at a job (or business)?</span><div class="i1">[] Yes -- Skip to question 30<br />[] No -- Did not work (or retired)</div><span class="em">29. b) Last week, did this person do any work for pay, even for as little as one hour?</span><div class="i1">[] Yes<br />[] No -- Skip to question 35a</div><span class="em">30. At what location did this person work last week?</span> <br />If this person worked at more than one location, print where he or she worked most last week</p> <p><span class="em">a) Address (Number and street name) </span> </p> <div class="i1">____<br /><br />If the exact address is not known, give a description of the location such as the building name or the nearest street or intersection.</div><span class="em">30. b) Name of city, town, or post office </span> ____</p> <p><span class="em">30. c) Is the work location inside the limits of that city or town?</span><div class="i1">[] Yes<br />[] No, outside the city/town limits</div><span class="em">30. d) Name of county </span> ____</p> <p><span class="em">30. e) Name of U.S. state or foreign country</span> ____</p> <p><span class="em">30. f) ZIP Code</span><div class="i1">Zip Code: _ _ _ _ _</div> Puerto Rico 2010: Persons age 16+ who worked in identifiable metropolitan area [discrepancies: type I trace; type II none] The variable indicates the metropolitan area where the person's place of work is located. 0000 NIU (not in universe) 0060 Aguadilla, PR 0470 Arecibo, PR 0720 Baltimore, MD 1200 Brockton, MA 1290 Caguas, PR 3360 Houston-Brazoria, TX 3590 Jacksonville, FL 5600 New York-Northeastern NJ 5602 Bergen-Passaic, NJ 6360 Ponce, PR 7360 San Francisco-Oakland-Vallejo, CA 7440 San Juan-Bayamon, PR Work Variables -- PERSON Flag for AGE Puerto Rico 2010: All persons This variable is a data quality flag for AGE (age). 0 Entered as written 4 Allocated Person Imputation Flags Variables -- PERSON Flag for DEPARTS Puerto Rico 2010: All persons This variable is a data quality flag for DEPARTS (time of departure for work). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for BPL, NATIVITY Puerto Rico 2010: All persons This variable is a data quality flag for BPL, NATIVITY (birthplace). 0 Entered as written 4 Allocated Person Imputation Flags Variables -- PERSON Flag for CARPOOL Puerto Rico 2010: All persons This variable is a data quality flag for CARPOOL (carpooling). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for CITIZEN Puerto Rico 2010: All persons This variable is a data quality flag for CITIZEN (citizenship status). 0 Original entry or Inapplicable (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for CLASSWKR Puerto Rico 2010: All persons This variable is a data quality flag for CLASSWKR (class of worker). 0 Original entry or Inapplicable (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for LANGUAGE, SPEAKENG Puerto Rico 2010: All persons This variable is a data quality flag for LANGUAGE, SPEAKENG (language spoken and speaks English). 0 Not allocated or Not applicable 4 Allocated, pre-edit Person Imputation Flags Variables -- PERSON Flag for YRNATUR Puerto Rico 2010: All persons This variable is a data quality flag for YRNATUR (year naturalized). 0 Not Allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for EMPSTAT, LABFORCE Puerto Rico 2010: All persons This variable is a data quality flag for EMPSTAT, LABFORCE (employment status and labor force status) 0 Original entry or Inapplicable (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for EDUCREC, HIGRADE, EDUC99 Puerto Rico 2010: All persons This variable is a data quality flag for EDUCREC, HIGRADE, EDUC99 (educational attainment). 0 Original entry or Inapplicable (not in universe) 4 Consistency edit Person Imputation Flags Variables -- PERSON Flag for INCBUS, INCTOT, INCEARN Puerto Rico 2010: All persons This variable is a data quality flag for INCBUS, INCTOT, INCEARN (business and farm, total personal, and total personal earned income) 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for INCINVST, INCTOT Puerto Rico 2010: All persons This variable is a data quality flag for INCINVST, INCTOT (interest, dividend, rental, and total personal income). 0 Not allocated or Not applicable 4 Allocated Person Imputation Flags Variables -- PERSON Flag for INCOTHER, INCTOT Puerto Rico 2010: All persons This variable is a data quality flag for INCOTHER, INCTOT (other and total personal income). 0 Original entry or Inapplicable (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for INCSS, INCTOT Puerto Rico 2010: All persons This variable is a data quality flag for INCSS, INCTOT (social security and total personal income). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for INCWAGE, INCTOT, INCEARN Puerto Rico 2010: All persons This variable is a data quality flag for INCWAGE, INCTOT, INCEARN (wage and salary, total personal, and total personal earned income). 0 Original entry or Inapplicable (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for INCWELFR, INCTOT Puerto Rico 2010: All persons This variable is a data quality flag for INCWELFR, INCTOT (welfare and total personal income). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for IND, IND1950 Puerto Rico 2010: All persons This variable is a data quality flag for IND, IND1950 (industry). 0 Original entry or Inapplicable (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for DIFFMOB Puerto Rico 2010: All persons This variable is a data quality flag for DIFFMOB (independent living difficulty). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for MARRNO Puerto Rico 2010: All persons This variable is a data quality flag for MARRNO (times married). 0 Original entry or Inapplicable (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for PWSTATE2 Puerto Rico 2010: All persons This variable is a data quality flag for PWSTATE2 (place of work: state, 1980 onward). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for MARST Puerto Rico 2010: All persons This variable is a data quality flag for MARST (marital status). 0 Entered as written 4 Allocated Person Imputation Flags Variables -- PERSON Flag for INCRETIR, INCTOT Puerto Rico 2010: All persons This variable is a data quality flag for INCRETIR, INCTOT (retirement and total personal income). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for MIGPLAC1 Puerto Rico 2010: All persons This variable is a data quality flag for MIGPLAC1 (state or country of residence 1 year ago). 0 Not allocated 4 Failed edit Person Imputation Flags Variables -- PERSON Flag for MIGRATE1 Puerto Rico 2010: All persons This variable is a data quality flag for MIGRATE1 (migration status, 1 year). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for MOVEDIN Puerto Rico 2010: All persons This variable is a data quality flag for MOVEDIN (when occupant moved into residence). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for OCC, OCC1950, SEI, OCCSCORE, OCCSOC, LABFORCE Puerto Rico 2010: All persons This variable is a data quality flag for OCC, OCC1950, SEI, OCCSCORE, OCCSOC, LABFORCE (occupation, Duncan Socioeconomic Index, occupational income score, and labor force status). 0 Entered as written 4 Allocated Person Imputation Flags Variables -- PERSON Flag for RACE, RACAMIND, RACASIAN, RACBLK, RACPAIS, RACWHT, RACOTH, RACNUM, RACESING, PROBAI, PROBBLK, PROBOTH, PROBWHT, Puerto Rico 2010: All persons This variable is a data quality flag for RACE, RACAMIND, RACASIAN, RACBLK, RACPAIS, RACWHT, RACOTH, RACNUM, RACESING, PROBAI, PROBBLK, PROBOTH, PROBWHT. 0 Entered as written 4 Allocated Person Imputation Flags Variables -- PERSON Flag for RELATE Puerto Rico 2010: All persons This variable is a data quality flag for RELATE (relationship to household head). 0 Entered as written 3 Missing 4 Allocated Person Imputation Flags Variables -- PERSON Flag for RIDERS Puerto Rico 2010: All persons This variable is a data quality flag for RIDERS (vehicle occupancy). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for SCHOOL, SCHLTYPE Puerto Rico 2010: All persons This variable is a data quality flag for SCHOOL, SCHLTYPE (school attendance and public or private school). 0 Original entry or Inapplicable (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for SEX Puerto Rico 2010: All persons This variable is a data quality flag for SEX. 0 Entered as written 4 Allocated Person Imputation Flags Variables -- PERSON Flag for SPEAKENG Puerto Rico 2010: All persons This variable is a data quality flag for SPEAKENG (speaks English). 0 Not allocated 4 Allocated, hot deck Person Imputation Flags Variables -- PERSON Flag for TRANTIME Puerto Rico 2010: All persons This variable is a data quality flag for TRANTIME (travel time to work). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for TRANWORK Puerto Rico 2010: All persons This variable is a data quality flag for TRANWORK (means of transportation to work). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for UHRSWORK Puerto Rico 2010: All persons This variable is a data quality flag for UHRSWORK (usual hours worked per week). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for VETPER, VETSTAT, VET55X64, VET75X80, VET80X90, VET90X95, VET95X00, VETKOREA, VETOTHER, VETVIETN, VETWWI, VETWWI Puerto Rico 2010: All persons This variable is a data quality flag for VETPER, VETSTAT, VET55X64, VET75X80, VET80X90, VET90X95, VET95X00, VETKOREA, VETOTHER, VETVIETN, VETWWI, VETWWI. 0 Original entry or Inapplicable (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for VETSTAT, VET55X64, VET75X80, VET80X90, VET90X95, VETKOREA, VETOTHER, VETVIETN, VETWWI, VETWWII, VET01LTR, VET47 Puerto Rico 2010: All persons This variable is a data quality flag for VETSTAT, VET55X64, VET75X80, VET80X90, VET90X95, VETKOREA, VETOTHER, VETVIETN, VETWWI, VETWWII, VET01LTR, VET47. 0 Original entry or Inapplicable (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for WKSWORK1, WKSWORK2 Puerto Rico 2010: All persons This variable is a data quality flag for WKSWORK1, WKSWORK2 (weeks worked last year). 0 Original entry or Inapplicable (not in universe) 4 Allocated, pre-edit Person Imputation Flags Variables -- PERSON Flag for WORKEDYR Puerto Rico 2010: All persons This variable is a data quality flag for WORKEDYR (worked last year). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Own grandchildren living in household [Question 25 - 31 were asked of all persons.]</p> <p><span class="em">25. a) Does this person have any of his/her own grandchildren under the age of 18 living in this house or apartment?</span><div class="i1">[] Yes<br />[] No -- Skip to question 26</div> Puerto Rico 2010: Persons age 30+ [discrepancies: none] This variable indicates whether the person's own grandchildren live in the household. 0 NIU (not in universe) 1 No 2 Yes Other Person Variables -- PERSON Children born within the last year [Question 24 was asked of females aged 15-50.]</p> <p><span class="em">24. Has this person given birth to any children in the past 12 months?</span><div class="i1">[] Yes<br />[] No</div> <span class="em">Answer person question 24 if this person is female and is 15-50 years old.</span></p> <p>24. Mark the "Yes" box if the person has given birth to at least one child born alive in the past 12 months, even if the child died or no longer lives with the mother. Do not consider miscarriages, or stillborn children, or any adopted, foster, or stepchildren. Puerto Rico 2010: Female age 15-50 [discrepancies: none] This variable indicates whether the person's child was born within the last year. 0 NIU (not in universe) 1 No 2 Yes Fertility and Mortality Variables -- PERSON Race: American Indian or Alaska Native [Questions 1-6 were asked of all persons.]</p> <p><span class="em">6. What is [the respondent's] race? </span><div class="i1">Mark (X) in one or more boxes.<br /><br />[] White<br />[] Black, African Am., or Negro<br />[] American Indian or Alaska Native-- (Print name of enrolled or principal tribe.) ____<br />[] Asian Indian<br />[] Japanese<br />[] Native Hawaiian<br />[] Chinese<br />[] Korean<br />[] Guamanian or Chamorro<br />[] Filipino<br />[] Vietnamese<br />[] Samoan<br />[] Other Asian -- (Print race, for example, Hmong, Laotian, Thai, Pakistani, Cambodian, and so on.) ____<br />[] Other Pacific Islander -- (Print race, for example, Fijian, Tongan, and so on.) ____<br />[] Some other race -- (Print race) ____</div> <span class="em">Please answer both Question 5 about Hispanic origin and Question 6 about race. For this survey, Hispanic origins are not races.</span></p> <p>5. A person is of Hispanic, Latino, or Spanish origin if the person's origin (ancestry) is Mexican, Mexican Puerto Rican, Chicano, Puerto Rican, Cuban, Argentinean, Colombian, Costa Rican, Dominican, Ecuadoran, Guatemalan, Honduran, Nicaraguan, Peruvian, Salvadoran, from other Spanish-speaking countries of the Caribbean or Central or South America, or from Spain.</p> <p>The term Mexican Am. refers to persons of Mexican-Puerto Rico origin or ancestry. <br />If you mark the "Yes, another Hispanic, Latino, or Spanish origin" box, print the name of the specific origin.</p> <p>If a person is not of Hispanic, Latino, or Spanish origin, answer this question by marking the "No, not of Hispanic, Latino, or Spanish origin" box.</p> <p>This question should be answered by <span class="em">all</span> persons.</p> <p>6. Mark all boxes for the appropriate races.</p> <p>The concept of race, as used by the Census Bureau, reflects self-identification by individuals according to the race or races with which they identify.</p> <p>The instruction before question 5, "For this survey, Hispanic origins are not races" reflects the federal government's treatment of Hispanic origin and race as separate and distinct concepts. </p> <p>People who identify their origin as Hispanic, Latino, or Spanish may be of any race.</p> <p>People may choose to provide two or more races either by marking two or more race response boxes, by providing multiple write-in responses, or by some combination of marking boxes and writing in responses.</p> <p>If you mark the "Puerto Rico Indian or Alaska Native" box, also print the name of the tribe(s) in which the person is enrolled. If the person is not enrolled in a tribe, print the name of the principal tribe.</p> <p>If you mark the "Other Asian" box, print the name of the specific race(s) or group(s) in the space provided. The category "Other Asian" includes persons who identify themselves as Laotian, Thai, Pakistani, Cambodian, Sri Lankan, and so on.</p> <p>If you mark the "Other Pacific Islander" box, print the name of the specific race(s) or group(s) in the space provided. The category "Other Pacific Islander" includes persons who identify themselves as Fijian, Tongan, Polynesian, Tahitian and so on.</p> <p>If you mark the "Some other race" box, print the race(s) or group(s) in the space provided. <br />This question should be answered by ALL persons. Puerto Rico 2010: All persons This variable indicates whether the person's race is American Indian or Alaska Native. 1 No 2 Yes Ethnicity and Language Variables -- PERSON Race: Asian [Questions 1-6 were asked of all persons.]</p> <p><span class="em">6. What is [the respondent's] race? </span><div class="i1">Mark (X) in one or more boxes.<br /><br />[] White<br />[] Black, African Am., or Negro<br />[] American Indian or Alaska Native-- (Print name of enrolled or principal tribe.) ____<br />[] Asian Indian<br />[] Japanese<br />[] Native Hawaiian<br />[] Chinese<br />[] Korean<br />[] Guamanian or Chamorro<br />[] Filipino<br />[] Vietnamese<br />[] Samoan<br />[] Other Asian -- (Print race, for example, Hmong, Laotian, Thai, Pakistani, Cambodian, and so on.) ____<br />[] Other Pacific Islander -- (Print race, for example, Fijian, Tongan, and so on.) ____<br />[] Some other race -- (Print race) ____</div> <span class="em">Please answer both Question 5 about Hispanic origin and Question 6 about race. For this survey, Hispanic origins are not races.</span></p> <p>5. A person is of Hispanic, Latino, or Spanish origin if the person's origin (ancestry) is Mexican, Mexican Puerto Rican, Chicano, Puerto Rican, Cuban, Argentinean, Colombian, Costa Rican, Dominican, Ecuadoran, Guatemalan, Honduran, Nicaraguan, Peruvian, Salvadoran, from other Spanish-speaking countries of the Caribbean or Central or South America, or from Spain.</p> <p>The term Mexican Am. refers to persons of Mexican-Puerto Rico origin or ancestry. <br />If you mark the "Yes, another Hispanic, Latino, or Spanish origin" box, print the name of the specific origin.</p> <p>If a person is not of Hispanic, Latino, or Spanish origin, answer this question by marking the "No, not of Hispanic, Latino, or Spanish origin" box.</p> <p>This question should be answered by <span class="em">all</span> persons.</p> <p>6. Mark all boxes for the appropriate races.</p> <p>The concept of race, as used by the Census Bureau, reflects self-identification by individuals according to the race or races with which they identify.</p> <p>The instruction before question 5, "For this survey, Hispanic origins are not races" reflects the federal government's treatment of Hispanic origin and race as separate and distinct concepts. </p> <p>People who identify their origin as Hispanic, Latino, or Spanish may be of any race.</p> <p>People may choose to provide two or more races either by marking two or more race response boxes, by providing multiple write-in responses, or by some combination of marking boxes and writing in responses.</p> <p>If you mark the "Puerto Rico Indian or Alaska Native" box, also print the name of the tribe(s) in which the person is enrolled. If the person is not enrolled in a tribe, print the name of the principal tribe.</p> <p>If you mark the "Other Asian" box, print the name of the specific race(s) or group(s) in the space provided. The category "Other Asian" includes persons who identify themselves as Laotian, Thai, Pakistani, Cambodian, Sri Lankan, and so on.</p> <p>If you mark the "Other Pacific Islander" box, print the name of the specific race(s) or group(s) in the space provided. The category "Other Pacific Islander" includes persons who identify themselves as Fijian, Tongan, Polynesian, Tahitian and so on.</p> <p>If you mark the "Some other race" box, print the race(s) or group(s) in the space provided. <br />This question should be answered by ALL persons. Puerto Rico 2010: All persons This variable indicates whether the person's race is Asian. 1 No 2 Yes Ethnicity and Language Variables -- PERSON Race: black or African American [Questions 1-6 were asked of all persons.]</p> <p><span class="em">6. What is [the respondent's] race? </span><div class="i1">Mark (X) in one or more boxes.<br /><br />[] White<br />[] Black, African Am., or Negro<br />[] American Indian or Alaska Native-- (Print name of enrolled or principal tribe.) ____<br />[] Asian Indian<br />[] Japanese<br />[] Native Hawaiian<br />[] Chinese<br />[] Korean<br />[] Guamanian or Chamorro<br />[] Filipino<br />[] Vietnamese<br />[] Samoan<br />[] Other Asian -- (Print race, for example, Hmong, Laotian, Thai, Pakistani, Cambodian, and so on.) ____<br />[] Other Pacific Islander -- (Print race, for example, Fijian, Tongan, and so on.) ____<br />[] Some other race -- (Print race) ____</div> <span class="em">Please answer both Question 5 about Hispanic origin and Question 6 about race. For this survey, Hispanic origins are not races.</span></p> <p>5. A person is of Hispanic, Latino, or Spanish origin if the person's origin (ancestry) is Mexican, Mexican Puerto Rican, Chicano, Puerto Rican, Cuban, Argentinean, Colombian, Costa Rican, Dominican, Ecuadoran, Guatemalan, Honduran, Nicaraguan, Peruvian, Salvadoran, from other Spanish-speaking countries of the Caribbean or Central or South America, or from Spain.</p> <p>The term Mexican Am. refers to persons of Mexican-Puerto Rico origin or ancestry. <br />If you mark the "Yes, another Hispanic, Latino, or Spanish origin" box, print the name of the specific origin.</p> <p>If a person is not of Hispanic, Latino, or Spanish origin, answer this question by marking the "No, not of Hispanic, Latino, or Spanish origin" box.</p> <p>This question should be answered by <span class="em">all</span> persons.</p> <p>6. Mark all boxes for the appropriate races.</p> <p>The concept of race, as used by the Census Bureau, reflects self-identification by individuals according to the race or races with which they identify.</p> <p>The instruction before question 5, "For this survey, Hispanic origins are not races" reflects the federal government's treatment of Hispanic origin and race as separate and distinct concepts. </p> <p>People who identify their origin as Hispanic, Latino, or Spanish may be of any race.</p> <p>People may choose to provide two or more races either by marking two or more race response boxes, by providing multiple write-in responses, or by some combination of marking boxes and writing in responses.</p> <p>If you mark the "Puerto Rico Indian or Alaska Native" box, also print the name of the tribe(s) in which the person is enrolled. If the person is not enrolled in a tribe, print the name of the principal tribe.</p> <p>If you mark the "Other Asian" box, print the name of the specific race(s) or group(s) in the space provided. The category "Other Asian" includes persons who identify themselves as Laotian, Thai, Pakistani, Cambodian, Sri Lankan, and so on.</p> <p>If you mark the "Other Pacific Islander" box, print the name of the specific race(s) or group(s) in the space provided. The category "Other Pacific Islander" includes persons who identify themselves as Fijian, Tongan, Polynesian, Tahitian and so on.</p> <p>If you mark the "Some other race" box, print the race(s) or group(s) in the space provided. <br />This question should be answered by ALL persons. Puerto Rico 2010: All persons This variable indicates whether the person's race is black or African American. 1 No 2 Yes Ethnicity and Language Variables -- PERSON Race: Pacific Islander [Questions 1-6 were asked of all persons.]</p> <p><span class="em">6. What is [the respondent's] race? </span><div class="i1">Mark (X) in one or more boxes.<br /><br />[] White<br />[] Black, African Am., or Negro<br />[] American Indian or Alaska Native-- (Print name of enrolled or principal tribe.) ____<br />[] Asian Indian<br />[] Japanese<br />[] Native Hawaiian<br />[] Chinese<br />[] Korean<br />[] Guamanian or Chamorro<br />[] Filipino<br />[] Vietnamese<br />[] Samoan<br />[] Other Asian -- (Print race, for example, Hmong, Laotian, Thai, Pakistani, Cambodian, and so on.) ____<br />[] Other Pacific Islander -- (Print race, for example, Fijian, Tongan, and so on.) ____<br />[] Some other race -- (Print race) ____</div> <span class="em">Please answer both Question 5 about Hispanic origin and Question 6 about race. For this survey, Hispanic origins are not races.</span></p> <p>5. A person is of Hispanic, Latino, or Spanish origin if the person's origin (ancestry) is Mexican, Mexican Puerto Rican, Chicano, Puerto Rican, Cuban, Argentinean, Colombian, Costa Rican, Dominican, Ecuadoran, Guatemalan, Honduran, Nicaraguan, Peruvian, Salvadoran, from other Spanish-speaking countries of the Caribbean or Central or South America, or from Spain.</p> <p>The term Mexican Am. refers to persons of Mexican-Puerto Rico origin or ancestry. <br />If you mark the "Yes, another Hispanic, Latino, or Spanish origin" box, print the name of the specific origin.</p> <p>If a person is not of Hispanic, Latino, or Spanish origin, answer this question by marking the "No, not of Hispanic, Latino, or Spanish origin" box.</p> <p>This question should be answered by <span class="em">all</span> persons.</p> <p>6. Mark all boxes for the appropriate races.</p> <p>The concept of race, as used by the Census Bureau, reflects self-identification by individuals according to the race or races with which they identify.</p> <p>The instruction before question 5, "For this survey, Hispanic origins are not races" reflects the federal government's treatment of Hispanic origin and race as separate and distinct concepts. </p> <p>People who identify their origin as Hispanic, Latino, or Spanish may be of any race.</p> <p>People may choose to provide two or more races either by marking two or more race response boxes, by providing multiple write-in responses, or by some combination of marking boxes and writing in responses.</p> <p>If you mark the "Puerto Rico Indian or Alaska Native" box, also print the name of the tribe(s) in which the person is enrolled. If the person is not enrolled in a tribe, print the name of the principal tribe.</p> <p>If you mark the "Other Asian" box, print the name of the specific race(s) or group(s) in the space provided. The category "Other Asian" includes persons who identify themselves as Laotian, Thai, Pakistani, Cambodian, Sri Lankan, and so on.</p> <p>If you mark the "Other Pacific Islander" box, print the name of the specific race(s) or group(s) in the space provided. The category "Other Pacific Islander" includes persons who identify themselves as Fijian, Tongan, Polynesian, Tahitian and so on.</p> <p>If you mark the "Some other race" box, print the race(s) or group(s) in the space provided. <br />This question should be answered by ALL persons. Puerto Rico 2010: All persons This variable indicates whether the person's race is Pacific Islander. 1 No 2 Yes Ethnicity and Language Variables -- PERSON Number of major race groups [Questions 1-6 were asked of all persons.]</p> <p><span class="em">6. What is [the respondent's] race? </span><div class="i1">Mark (X) in one or more boxes.<br /><br />[] White<br />[] Black, African Am., or Negro<br />[] American Indian or Alaska Native-- (Print name of enrolled or principal tribe.) ____<br />[] Asian Indian<br />[] Japanese<br />[] Native Hawaiian<br />[] Chinese<br />[] Korean<br />[] Guamanian or Chamorro<br />[] Filipino<br />[] Vietnamese<br />[] Samoan<br />[] Other Asian -- (Print race, for example, Hmong, Laotian, Thai, Pakistani, Cambodian, and so on.) ____<br />[] Other Pacific Islander -- (Print race, for example, Fijian, Tongan, and so on.) ____<br />[] Some other race -- (Print race) ____</div> <span class="em">Please answer both Question 5 about Hispanic origin and Question 6 about race. For this survey, Hispanic origins are not races.</span></p> <p>5. A person is of Hispanic, Latino, or Spanish origin if the person's origin (ancestry) is Mexican, Mexican Puerto Rican, Chicano, Puerto Rican, Cuban, Argentinean, Colombian, Costa Rican, Dominican, Ecuadoran, Guatemalan, Honduran, Nicaraguan, Peruvian, Salvadoran, from other Spanish-speaking countries of the Caribbean or Central or South America, or from Spain.</p> <p>The term Mexican Am. refers to persons of Mexican-Puerto Rico origin or ancestry. <br />If you mark the "Yes, another Hispanic, Latino, or Spanish origin" box, print the name of the specific origin.</p> <p>If a person is not of Hispanic, Latino, or Spanish origin, answer this question by marking the "No, not of Hispanic, Latino, or Spanish origin" box.</p> <p>This question should be answered by <span class="em">all</span> persons.</p> <p>6. Mark all boxes for the appropriate races.</p> <p>The concept of race, as used by the Census Bureau, reflects self-identification by individuals according to the race or races with which they identify.</p> <p>The instruction before question 5, "For this survey, Hispanic origins are not races" reflects the federal government's treatment of Hispanic origin and race as separate and distinct concepts. </p> <p>People who identify their origin as Hispanic, Latino, or Spanish may be of any race.</p> <p>People may choose to provide two or more races either by marking two or more race response boxes, by providing multiple write-in responses, or by some combination of marking boxes and writing in responses.</p> <p>If you mark the "Puerto Rico Indian or Alaska Native" box, also print the name of the tribe(s) in which the person is enrolled. If the person is not enrolled in a tribe, print the name of the principal tribe.</p> <p>If you mark the "Other Asian" box, print the name of the specific race(s) or group(s) in the space provided. The category "Other Asian" includes persons who identify themselves as Laotian, Thai, Pakistani, Cambodian, Sri Lankan, and so on.</p> <p>If you mark the "Other Pacific Islander" box, print the name of the specific race(s) or group(s) in the space provided. The category "Other Pacific Islander" includes persons who identify themselves as Fijian, Tongan, Polynesian, Tahitian and so on.</p> <p>If you mark the "Some other race" box, print the race(s) or group(s) in the space provided. <br />This question should be answered by ALL persons. Puerto Rico 2010: All persons This variable indicates the person's number of major race groups. The six major race groups are: (a) American Indian or Alaska Native; (b) Asian; (c) black, African-American, or Negro; (d) Native Hawaiian or other Pacific Islander; (e) white; and (f) some other race. 1 1 race group 2 2 race groups 3 3 race groups Ethnicity and Language Variables -- PERSON Race: some other race [Questions 1-6 were asked of all persons.]</p> <p><span class="em">6. What is [the respondent's] race? </span><div class="i1">Mark (X) in one or more boxes.<br /><br />[] White<br />[] Black, African Am., or Negro<br />[] American Indian or Alaska Native-- (Print name of enrolled or principal tribe.) ____<br />[] Asian Indian<br />[] Japanese<br />[] Native Hawaiian<br />[] Chinese<br />[] Korean<br />[] Guamanian or Chamorro<br />[] Filipino<br />[] Vietnamese<br />[] Samoan<br />[] Other Asian -- (Print race, for example, Hmong, Laotian, Thai, Pakistani, Cambodian, and so on.) ____<br />[] Other Pacific Islander -- (Print race, for example, Fijian, Tongan, and so on.) ____<br />[] Some other race -- (Print race) ____</div> <span class="em">Please answer both Question 5 about Hispanic origin and Question 6 about race. For this survey, Hispanic origins are not races.</span></p> <p>5. A person is of Hispanic, Latino, or Spanish origin if the person's origin (ancestry) is Mexican, Mexican Puerto Rican, Chicano, Puerto Rican, Cuban, Argentinean, Colombian, Costa Rican, Dominican, Ecuadoran, Guatemalan, Honduran, Nicaraguan, Peruvian, Salvadoran, from other Spanish-speaking countries of the Caribbean or Central or South America, or from Spain.</p> <p>The term Mexican Am. refers to persons of Mexican-Puerto Rico origin or ancestry. <br />If you mark the "Yes, another Hispanic, Latino, or Spanish origin" box, print the name of the specific origin.</p> <p>If a person is not of Hispanic, Latino, or Spanish origin, answer this question by marking the "No, not of Hispanic, Latino, or Spanish origin" box.</p> <p>This question should be answered by <span class="em">all</span> persons.</p> <p>6. Mark all boxes for the appropriate races.</p> <p>The concept of race, as used by the Census Bureau, reflects self-identification by individuals according to the race or races with which they identify.</p> <p>The instruction before question 5, "For this survey, Hispanic origins are not races" reflects the federal government's treatment of Hispanic origin and race as separate and distinct concepts. </p> <p>People who identify their origin as Hispanic, Latino, or Spanish may be of any race.</p> <p>People may choose to provide two or more races either by marking two or more race response boxes, by providing multiple write-in responses, or by some combination of marking boxes and writing in responses.</p> <p>If you mark the "Puerto Rico Indian or Alaska Native" box, also print the name of the tribe(s) in which the person is enrolled. If the person is not enrolled in a tribe, print the name of the principal tribe.</p> <p>If you mark the "Other Asian" box, print the name of the specific race(s) or group(s) in the space provided. The category "Other Asian" includes persons who identify themselves as Laotian, Thai, Pakistani, Cambodian, Sri Lankan, and so on.</p> <p>If you mark the "Other Pacific Islander" box, print the name of the specific race(s) or group(s) in the space provided. The category "Other Pacific Islander" includes persons who identify themselves as Fijian, Tongan, Polynesian, Tahitian and so on.</p> <p>If you mark the "Some other race" box, print the race(s) or group(s) in the space provided. <br />This question should be answered by ALL persons. Puerto Rico 2010: All persons This variable indicates whether the person's race is a race other than those asked about in other variables. 1 No 2 Yes Ethnicity and Language Variables -- PERSON Race: white [Questions 1-6 were asked of all persons.]</p> <p><span class="em">6. What is [the respondent's] race? </span><div class="i1">Mark (X) in one or more boxes.<br /><br />[] White<br />[] Black, African Am., or Negro<br />[] American Indian or Alaska Native-- (Print name of enrolled or principal tribe.) ____<br />[] Asian Indian<br />[] Japanese<br />[] Native Hawaiian<br />[] Chinese<br />[] Korean<br />[] Guamanian or Chamorro<br />[] Filipino<br />[] Vietnamese<br />[] Samoan<br />[] Other Asian -- (Print race, for example, Hmong, Laotian, Thai, Pakistani, Cambodian, and so on.) ____<br />[] Other Pacific Islander -- (Print race, for example, Fijian, Tongan, and so on.) ____<br />[] Some other race -- (Print race) ____</div> <span class="em">Please answer both Question 5 about Hispanic origin and Question 6 about race. For this survey, Hispanic origins are not races.</span></p> <p>5. A person is of Hispanic, Latino, or Spanish origin if the person's origin (ancestry) is Mexican, Mexican Puerto Rican, Chicano, Puerto Rican, Cuban, Argentinean, Colombian, Costa Rican, Dominican, Ecuadoran, Guatemalan, Honduran, Nicaraguan, Peruvian, Salvadoran, from other Spanish-speaking countries of the Caribbean or Central or South America, or from Spain.</p> <p>The term Mexican Am. refers to persons of Mexican-Puerto Rico origin or ancestry. <br />If you mark the "Yes, another Hispanic, Latino, or Spanish origin" box, print the name of the specific origin.</p> <p>If a person is not of Hispanic, Latino, or Spanish origin, answer this question by marking the "No, not of Hispanic, Latino, or Spanish origin" box.</p> <p>This question should be answered by <span class="em">all</span> persons.</p> <p>6. Mark all boxes for the appropriate races.</p> <p>The concept of race, as used by the Census Bureau, reflects self-identification by individuals according to the race or races with which they identify.</p> <p>The instruction before question 5, "For this survey, Hispanic origins are not races" reflects the federal government's treatment of Hispanic origin and race as separate and distinct concepts. </p> <p>People who identify their origin as Hispanic, Latino, or Spanish may be of any race.</p> <p>People may choose to provide two or more races either by marking two or more race response boxes, by providing multiple write-in responses, or by some combination of marking boxes and writing in responses.</p> <p>If you mark the "Puerto Rico Indian or Alaska Native" box, also print the name of the tribe(s) in which the person is enrolled. If the person is not enrolled in a tribe, print the name of the principal tribe.</p> <p>If you mark the "Other Asian" box, print the name of the specific race(s) or group(s) in the space provided. The category "Other Asian" includes persons who identify themselves as Laotian, Thai, Pakistani, Cambodian, Sri Lankan, and so on.</p> <p>If you mark the "Other Pacific Islander" box, print the name of the specific race(s) or group(s) in the space provided. The category "Other Pacific Islander" includes persons who identify themselves as Fijian, Tongan, Polynesian, Tahitian and so on.</p> <p>If you mark the "Some other race" box, print the race(s) or group(s) in the space provided. <br />This question should be answered by ALL persons. Puerto Rico 2010: All persons This variable indicates whether the person's race is white. 1 No 2 Yes Ethnicity and Language Variables -- PERSON Industry, NAICS classification <span class="em">43. What kind of business or industry was this?</span><div class="i1">Describe the activity at the location where employed. (For example: hospital, newspaper publishing, mail order house, auto engine manufacturing, bank) <br />____</div><span class="em">44. Is this mainly </span><div class="i1">Mark (X) in one box<br /><br />[] Manufacturing?<br />[] Wholesale trade?<br />[] Retail trade?<br />[] Other (agriculture, service, government, etc.)?</div> 43. Print one or more words to describe the business, industry, or individual employer named in question 42. If there is more than one activity, describe only the major activity at the place where the person worked. Enter what is made, what is sold, or what service is given.</p> <ul class="b1"> <li>Enter descriptions like the following: hospital, newspaper publishing, mail order house, auto engine manufacturing, bank.</li> <li>Do not enter: newspaper, order house, engine.</li> </ul><p>44. Mark one box to indicate the main type of business or industry where this person works. Puerto Rico 2010: Persons age 16+ who worked within the last five years and persons seeking work who last worked more than 5 years ago [discrepancies: not verifiable] This variable reports the type of establishment in which the person worked, in terms of the good or service produced. INDNAICS codes industries according to the North American Industrial Classification System, which was developed in 1997. For workers employed during the previous week, the data refer to the job at which the person worked the greatest number of hours. For unemployed persons or those out of the labor force, the data refer to their most recent job, if it was within the previous five years. User Caution: INDNAICS contains alphabetic characters. For more information, see the IPUMS USA variable information. This is a 8-digit numeric variable with 0 implied decimal places Work: Industry Variables -- PERSON Occupation, SOC classification <span class="em">45. What kind of work was this person doing?</span><div class="i1">For example: registered nurse, personal manager, supervisor of order department, secretary, accountant<br />____</div><span class="em">46. What were this person's most important activities or duties?</span><div class="i1">For example: patient care, directing hiring policies, supervising order clerks, typing and filing, reconciling financial records <br />____</div> 45. Print one or more words to describe the kind of work the person did. If the person was a trainee, apprentice, or helper, include that in the description.</p> <ul class="b1"> <li>Enter descriptions like the following: registered nurse, personnel manager, supervisor of order department, secretary, accountant, high school teacher, etc.</li> <li>Do not enter single words such as: nurse, manager, teacher, etc.</li> </ul><p>46. Describe the most important activities or duties the person performed.</p> <p>Enter descriptions like the following: patient care, directing hiring policies, supervising order clerks, typing and filing, reconciling financial records, etc. Puerto Rico 2010: Persons age 16+ who worked within the last five years and persons seeking work who last worked more than 5 years ago [discrepancies: not verifiable] This variable reports the person's primary occupation, classified according to the 2010 Standard Occupational Classification (SOC) for 2010 onward. For workers employed during the previous week, the data refer to the job at which the person worked the greatest number of hours. For persons who were unemployed or out of the labor force, the data refer to the most recent job, if it was within the previous five years. For more information, see the IPUMS USA variable information. This is a 6-digit numeric variable with 0 implied decimal places Work: Occupation Variables -- PERSON Worked last week [Question 25 - 31 were asked of all persons.]</p> <p><span class="em">29. a) Last week, did this person work for pay at a job (or business)?</span><div class="i1">[] Yes -- Skip to question 30<br />[] No -- Did not work (or retired)</div> Puerto Rico 2010: Persons age 16+ [discrepancies: none] This variable indicates whether the person worked last week. 0 NIU (not in universe) 1 Did not work 2 Worked 3 Not Reported Work Variables -- PERSON Informed of work recall Puerto Rico 2010: Persons age 16+ [discrepancies: none] For persons who did not work "last week" and were on layoff from a job, this variable indicates whether they had been informed that they would be recalled to work in the next six months OR had been given a date to return to work. 0 NIU (not in universe) 1 No 2 Yes 3 Not reported Work Variables -- PERSON Supplementary Security Income [Questions 47-48 were asked of all persons.]</p> <p><span class="em">47. Income in the past 12months.</span> <br />Mark (X) the "yes" box for each type of income this person received, and give your best estimate of the total amount during the past 12 months. (Note: The "past 12 months" is the period from today's date one year ago up through today.)</p> <p>Mark (X) the "no" box to show types of income not received</p> <p>If net income was a loss, mark the "loss" box.</p> <p>For income received jointly, report the appropriate share for each person. Or, if that's not possible, report the whole amount for only one person and mark the "no" box for the other person.</p> <div class="i1"><span class="em">e) Supplemental Security Income (SSI)</span></div><div class="i2">[] Yes</div><p> </p> <div class="i3">$_ _ _ _ _ _.00 (Total amount for the past 12 months)</div><div class="i2">[] No</div> <span class="em">Answer person questions 47 through 48 only if this person is 15 years old or over.</span></p> <p>Mark the "Yes" or "No" box for each type of income, and enter the amount received <span class="em">in the past 12 months</span> for each "Yes" response.</p> <p>If income from any source was received jointly by household members, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and mark the "No" box for the other person.</p> <p>When reporting income received jointly, <span class="em">do not</span> include the amount for a person not listed on pages 2, 3, or 4.</p> <p><span class="em">Do not</span> include the following as income in any item:</p> <ul class="b1"> <li>Refunds or rebates of any kind</li> <li>Withdrawals from savings of any kind</li> <li>Capital gains or losses from the sale of homes, shares of stock, etc.</li> <li>Inheritances or insurance settlements</li> <li>Any type of loan</li> <li>Pay in-kind such as food, free rent</li> </ul><p>47a. Include wages and salaries before deductions from all jobs. Be sure to include any tips, commissions, or bonuses. Owners of incorporated businesses should enter their salary here. Military personnel should include base pay plus cash housing and/or subsistence allowance, flight pay, uniform allotments, reenlistment bonuses.</p> <p>47b. Include nonfarm profit (or loss) from self-employment in sole proprietorships and partnerships. Exclude profit (or loss) of incorporated businesses the person owns.</p> <p>Include farm profit (or loss) from self-employment in sole proprietorships and partnerships. </p> <p>Exclude profit (or loss) of incorporated farm businesses you own. Also exclude amounts from land rented for cash but include amounts from land rented for shares.</p> <p>47c. Include interest received or credited to checking and saving accounts, money market funds, certificates of deposit (CDs), IRAs, KEOGHs, and government bonds.</p> <p>Include dividends received, credited, or reinvested from ownership of stocks or mutual funds.</p> <p>Include profit (or loss) from royalties and the rental of land, buildings or real estate, or from roomers or boarders. Income received by self-employed persons whose primary source of income is from renting property or from royalties should be included in question 47b above. </p> <p>Include regular payments from an estate or trust fund.</p> <p>47d. Include amounts, before Medicare deductions, of Social Security and/or Railroad Retirement payments to retired persons, to dependents of deceased insured workers, and to disabled workers.</p> <p>47e. Include Supplemental Security Income (SSI) received by elderly, blind, or disabled persons.</p> <p>47f. Include any public assistance or welfare payments the person receives from the state or county welfare office. Do not include assistance received from private charities. Do not include assistance to pay heating or cooling costs.</p> <p>47g. Include retirement, survivor or disability benefits received from companies and unions, Federal, state, and local governments, and the U.S. military. Include regular income from annuities and IRA or KEOGH retirement plans.</p> <p>47h. Include Veterans' (VA) disability compensation and educational assistance payments (VEAP); unemployment compensation, child support or alimony; and all other regular payments such as Armed Forces transfer payments, assistance from private charities, regular contributions from persons not living in the household. Puerto Rico 2010: Persons age 15+ [discrepancies: none] This variable indicates the person's Supplementary Security Income. 00000 0 01300 1300 01600 1600 01700 1700 01800 1800 02000 2000 02200 2200 02300 2300 02400 2400 02500 2500 02600 2600 03100 3100 03200 3200 03300 3300 03400 3400 03600 3600 03800 3800 03900 3900 04000 4000 04100 4100 04400 4400 04800 4800 04900 4900 05200 5200 05600 5600 05700 5700 06200 6200 06400 6400 06900 6900 07000 7000 07100 7100 07200 7200 07300 7300 07500 7500 07600 7600 07700 7700 07800 7800 07900 7900 08000 8000 08400 8400 08600 8600 09000 9000 09200 9200 09300 9300 09600 9600 09800 9800 10000 10000 10200 10200 10300 10300 11400 11400 11800 11800 12100 12100 13000 13000 13500 13500 15000 15000 16600 16600 99999 NIU (not in universe) Income Variables -- PERSON Vision or hearing difficulty [Question 13- 17 were asked of all persons.]</p> <p><span class="em">17. a) Is this person deaf or does he/she have serious difficulty hearing?</span><div class="i1">[] Yes<br />[] No</div><span class="em">17. b) Is this person blind or does he/she have serious difficulty seeing even when wearing glasses?</span><div class="i1">[] Yes<br />[] No</div> Puerto Rico 2010: All persons This variable indicates whether the person has vision or hearing difficulty. 1 No vision or hearing difficulty 2 Has vision or hearing difficulty Disability Variables -- PERSON Ambulatory difficulty [Question 18 was asked of persons age 5 and above.]</p> <p><span class="em">18. b) Does this person have serious difficulty walking or climbing stairs?</span><div class="i1">[] Yes<br />[] No</div><span class="em">c) Does this person have difficulty dressing or bathing?</span><div class="i1">[] Yes<br />[] No</div> <span class="em">Answer person questions 18a through 18c if this person is 5 years old or over. </span></p> <p>18a-18c. Mark the "Yes" or "No" box to indicate if the person has serious difficulty with any of the activities listed in parts a, b, and c because of a physical, mental, or emotional condition. Puerto Rico 2010: Persons age 5+ [discrepancies: none] This variable indicates whether the person has ambulatory difficulty. 0 NIU (not in universe) 1 No ambulatory difficulty 2 Has ambulatory difficulty Disability Variables -- PERSON Cognitive difficulty [Question 18 was asked of persons age 5 and above.]</p> <p><span class="em">18. a) Because of a physical, mental, or emotional condition, does this person have serious difficulty concentrating, remembering, or making decisions?</span><div class="i1">[] Yes<br />[] No</div> <span class="em">Answer person questions 18a through 18c if this person is 5 years old or over. </span></p> <p>18a-18c. Mark the "Yes" or "No" box to indicate if the person has serious difficulty with any of the activities listed in parts a, b, and c because of a physical, mental, or emotional condition. Puerto Rico 2010: Persons age 5+ [discrepancies: none] This variable indicates whether the person has cognitive difficulty. 0 NIU (not in universe) 1 No cognitive difficulty 2 Has cognitive difficulty Disability Variables -- PERSON Months responsible for grandchildren [Question 25 - 31 were asked of all persons.]</p> <p><span class="em">25. a) Does this person have any of his/her own grandchildren under the age of 18 living in this house or apartment?</span><div class="i1">[] Yes<br />[] No -- Skip to question 26</div><span class="em">25. b) Is this grandparent currently responsible for most of the basic needs of any grandchild(ren) under the age of 18 who live(s) in this house or apartment?</span><div class="i1">[] Yes<br />[] No -- Skip to question 26</div><span class="em">25. c) How long has this grandparent been responsible for the(se) grandchild(ren)?</span><div class="i1">If the grandparent is financially responsible for more than one grandchild, answer the question for the grandchild for whom the grandparent has been responsible for the longest period of time.<br /><br />[] Less than 6 months<br />[] 6 to 11 months<br />[] 1 or 2 years<br />[] 3 or 4 years<br />[] 5 or more years</div> Puerto Rico 2010: Persons age 30+ responsible for grandchildren [discrepancies: none] This variable indicates the number of months the person was responsible for grandchildren. 0 NIU (not in universe) 1 Less than 6 months 2 6 to 11 months 3 1 to 2 years 4 3 to 4 years 5 5 or more years Other Person Variables -- PERSON Responsible for grandchildren [Question 25 - 31 were asked of all persons.]</p> <p><span class="em">25. a) Does this person have any of his/her own grandchildren under the age of 18 living in this house or apartment?</span><div class="i1">[] Yes<br />[] No -- Skip to question 26</div><span class="em">25. b) Is this grandparent currently responsible for most of the basic needs of any grandchild(ren) under the age of 18 who live(s) in this house or apartment?</span><div class="i1">[] Yes<br />[] No -- Skip to question 26</div> Puerto Rico 2010: Persons age 30+ with grandchildren living in the household [discrepancies: none] This variable indicates whether the person was responsible for grandchildren. 0 NIU (not in universe) 1 No 2 Yes Other Person Variables -- PERSON Flag for DIFFSENS Puerto Rico 2010: All persons This variable is a data quality flag for DIFFSENS (vision or hearing difficulty). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for INCSUPP Puerto Rico 2010: All persons This variable is a data quality flag for INCSUPP (Supplementary Security income). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for INCSUPP Puerto Rico 2010: All persons This variable is a data quality flag for DIFFPHYS (ambulatory difficulty). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for DIFFREM Puerto Rico 2010: All persons This variable is a data quality flag for DIFFREM (cognitive difficulty). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for FERTYR Puerto Rico 2010: All persons This variable is a data quality flag for FERTYR (children born within the last year). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for GCHOUSE Puerto Rico 2010: All persons This variable is a data quality flag for GCHOUSE (own grandchildren living in household). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for GCMONTHS Puerto Rico 2010: All persons This variable is a data quality flag for GCMONTHS (months responsible for grandchildren). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for GCRESPON Puerto Rico 2010: All persons This variable is a data quality flag for GCRESPON (responsible for grandchildren). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for GRADEATT Puerto Rico 2010: All persons This variable is a data quality flag for GRADEATT (grade level attending). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Poverty status, 2000 criteria Puerto Rico 2010: All persons This variable indicates the respondent's poverty status according to the 2000 criteria. This is a 3-digit numeric variable with 0 implied decimal places Income Variables -- PERSON Business and farm income, 2000 [Questions 47-48 were asked of all persons.]</p> <p><span class="em">47. Income in the past 12months.</span> <br />Mark (X) the "yes" box for each type of income this person received, and give your best estimate of the total amount during the past 12 months. (Note: The "past 12 months" is the period from today's date one year ago up through today.)</p> <p>Mark (X) the "no" box to show types of income not received</p> <p>If net income was a loss, mark the "loss" box.</p> <p>For income received jointly, report the appropriate share for each person. Or, if that's not possible, report the whole amount for only one person and mark the "no" box for the other person.</p> <div class="i1"><span class="em">b) Self-employment income from own nonfarm businesses or farm businesses, including proprietorships and partnerships.</span></div><div class="i2">Report net income after business expenses<br /><br />[] Yes</div><div class="i3">$_ _ _ _ _ _.00 (Total amount for the past 12 months)</div><div class="i2">[] No<br />[] Loss</div> <span class="em">Answer person questions 47 through 48 only if this person is 15 years old or over.</span></p> <p>Mark the "Yes" or "No" box for each type of income, and enter the amount received <span class="em">in the past 12 months</span> for each "Yes" response.</p> <p>If income from any source was received jointly by household members, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and mark the "No" box for the other person.</p> <p>When reporting income received jointly, <span class="em">do not</span> include the amount for a person not listed on pages 2, 3, or 4.</p> <p><span class="em">Do not</span> include the following as income in any item:</p> <ul class="b1"> <li>Refunds or rebates of any kind</li> <li>Withdrawals from savings of any kind</li> <li>Capital gains or losses from the sale of homes, shares of stock, etc.</li> <li>Inheritances or insurance settlements</li> <li>Any type of loan</li> <li>Pay in-kind such as food, free rent</li> </ul><p>47a. Include wages and salaries before deductions from all jobs. Be sure to include any tips, commissions, or bonuses. Owners of incorporated businesses should enter their salary here. Military personnel should include base pay plus cash housing and/or subsistence allowance, flight pay, uniform allotments, reenlistment bonuses.</p> <p>47b. Include nonfarm profit (or loss) from self-employment in sole proprietorships and partnerships. Exclude profit (or loss) of incorporated businesses the person owns.</p> <p>Include farm profit (or loss) from self-employment in sole proprietorships and partnerships. </p> <p>Exclude profit (or loss) of incorporated farm businesses you own. Also exclude amounts from land rented for cash but include amounts from land rented for shares.</p> <p>47c. Include interest received or credited to checking and saving accounts, money market funds, certificates of deposit (CDs), IRAs, KEOGHs, and government bonds.</p> <p>Include dividends received, credited, or reinvested from ownership of stocks or mutual funds.</p> <p>Include profit (or loss) from royalties and the rental of land, buildings or real estate, or from roomers or boarders. Income received by self-employed persons whose primary source of income is from renting property or from royalties should be included in question 47b above. </p> <p>Include regular payments from an estate or trust fund.</p> <p>47d. Include amounts, before Medicare deductions, of Social Security and/or Railroad Retirement payments to retired persons, to dependents of deceased insured workers, and to disabled workers.</p> <p>47e. Include Supplemental Security Income (SSI) received by elderly, blind, or disabled persons.</p> <p>47f. Include any public assistance or welfare payments the person receives from the state or county welfare office. Do not include assistance received from private charities. Do not include assistance to pay heating or cooling costs.</p> <p>47g. Include retirement, survivor or disability benefits received from companies and unions, Federal, state, and local governments, and the U.S. military. Include regular income from annuities and IRA or KEOGH retirement plans.</p> <p>47h. Include Veterans' (VA) disability compensation and educational assistance payments (VEAP); unemployment compensation, child support or alimony; and all other regular payments such as Armed Forces transfer payments, assistance from private charities, regular contributions from persons not living in the household. Puerto Rico 2010: Persons age 15+ [discrepancies: none] This variable indicates the person's net pre-income-tax self-employment income from a business, professional practice, or farm, for the previous year. PR2010A_0542 is a 6-digit numeric variable. Codes154000=154000+ 999999= NIU. Income Variables -- PERSON Poverty status, original 2000 PUMS Puerto Rico 2010: All persons This variable indicates the person's poverty status according to the original 2000 PUMS criteria. This is a 3-digit numeric variable with 0 implied decimal places Income Variables -- PERSON Place of work: PUMA, 2000 onward Puerto Rico 2010: Persons age 16+ who were at work last week [discrepancies: none] This variable indicates the location of the person's primary workplace, in terms of the Public Use Microdata Area, a Census Bureau-defined area of contiguous territory containing 100,000+ residents. 0000 NIU (not in universe) 0001 1 0100 100 0200 200 0300 300 0400 400 0500 500 0502 502 0600 600 0700 700 0800 800 0900 900 1000 1000 1100 1100 1200 1200 1300 1300 1400 1400 1500 1500 1600 1600 1700 1700 1800 1800 1900 1900 2000 2000 2100 2100 2200 2200 2300 2300 2400 2400 2500 2500 2600 2600 4000 4000 4100 4100 4690 4690 Work Variables -- PERSON Retirement income [Questions 47-48 were asked of all persons.]</p> <p><span class="em">47. Income in the past 12months.</span> <br />Mark (X) the "yes" box for each type of income this person received, and give your best estimate of the total amount during the past 12 months. (Note: The "past 12 months" is the period from today's date one year ago up through today.)</p> <p>Mark (X) the "no" box to show types of income not received</p> <p>If net income was a loss, mark the "loss" box.</p> <p>For income received jointly, report the appropriate share for each person. Or, if that's not possible, report the whole amount for only one person and mark the "no" box for the other person.</p> <div class="i1"><span class="em"> g) Retirement, survivor, or disability pensions.</span></div><div class="i2">Do not include Social Security.<br /><br />[] Yes</div><div class="i3">$_ _ _ _ _ _.00 (Total amount for the past 12 months)</div><div class="i2">[] No</div> <span class="em">Answer person questions 47 through 48 only if this person is 15 years old or over.</span></p> <p>Mark the "Yes" or "No" box for each type of income, and enter the amount received <span class="em">in the past 12 months</span> for each "Yes" response.</p> <p>If income from any source was received jointly by household members, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and mark the "No" box for the other person.</p> <p>When reporting income received jointly, <span class="em">do not</span> include the amount for a person not listed on pages 2, 3, or 4.</p> <p><span class="em">Do not</span> include the following as income in any item:</p> <ul class="b1"> <li>Refunds or rebates of any kind</li> <li>Withdrawals from savings of any kind</li> <li>Capital gains or losses from the sale of homes, shares of stock, etc.</li> <li>Inheritances or insurance settlements</li> <li>Any type of loan</li> <li>Pay in-kind such as food, free rent</li> </ul><p>47a. Include wages and salaries before deductions from all jobs. Be sure to include any tips, commissions, or bonuses. Owners of incorporated businesses should enter their salary here. Military personnel should include base pay plus cash housing and/or subsistence allowance, flight pay, uniform allotments, reenlistment bonuses.</p> <p>47b. Include nonfarm profit (or loss) from self-employment in sole proprietorships and partnerships. Exclude profit (or loss) of incorporated businesses the person owns.</p> <p>Include farm profit (or loss) from self-employment in sole proprietorships and partnerships. </p> <p>Exclude profit (or loss) of incorporated farm businesses you own. Also exclude amounts from land rented for cash but include amounts from land rented for shares.</p> <p>47c. Include interest received or credited to checking and saving accounts, money market funds, certificates of deposit (CDs), IRAs, KEOGHs, and government bonds.</p> <p>Include dividends received, credited, or reinvested from ownership of stocks or mutual funds.</p> <p>Include profit (or loss) from royalties and the rental of land, buildings or real estate, or from roomers or boarders. Income received by self-employed persons whose primary source of income is from renting property or from royalties should be included in question 47b above. </p> <p>Include regular payments from an estate or trust fund.</p> <p>47d. Include amounts, before Medicare deductions, of Social Security and/or Railroad Retirement payments to retired persons, to dependents of deceased insured workers, and to disabled workers.</p> <p>47e. Include Supplemental Security Income (SSI) received by elderly, blind, or disabled persons.</p> <p>47f. Include any public assistance or welfare payments the person receives from the state or county welfare office. Do not include assistance received from private charities. Do not include assistance to pay heating or cooling costs.</p> <p>47g. Include retirement, survivor or disability benefits received from companies and unions, Federal, state, and local governments, and the U.S. military. Include regular income from annuities and IRA or KEOGH retirement plans.</p> <p>47h. Include Veterans' (VA) disability compensation and educational assistance payments (VEAP); unemployment compensation, child support or alimony; and all other regular payments such as Armed Forces transfer payments, assistance from private charities, regular contributions from persons not living in the household. Puerto Rico 2010: Persons age 15+ [discrepancies: none] This variable indicates the person's retirement income. PR2010A_0546 is a 6-digit numeric variable. Codes47400=47400+ 999999= NIU. Income Variables -- PERSON Super-PUMA of work Puerto Rico 2010: Persons age 16+ who were at work last week [discrepancies: type I none; type II trace] This variable indicates the location of the person's primary workplace, in terms of the Super-PUMA, a Census Bureau-defined area of contiguous territory containing 400,000+ residents within a state. 000 NIU (not in universe) 050 50 100 100 110 110 120 120 130 130 180 180 200 200 300 300 400 400 500 500 600 600 700 700 800 800 Work Variables -- PERSON Veteran, served 2001 or later Puerto Rico 2010: Persons age 17+ with veteran status [discrepancies: none] This variable indicates whether persons were engaged in active-duty military service in the armed forces of the United States in 2001 or later. It includes those on active duty in the United States Army, Air Force, Navy, Marine Corps, and Coast Guard during this period, and it excludes those in the National Guard and military Reserves, unless they were called to active duty. 0 NIU (not in universe) 1 No 2 Yes, served this period Other Person Variables -- PERSON Veteran, served 1990-2001 Puerto Rico 2010: Persons age 17+ with veteran status [discrepancies: none] This variable indicates whether persons were engaged in active-duty military service in the armed forces of the United States between August, 1990 and August, 2001. It includes those on active duty in the United States Army, Air Force, Navy, Marine Corps, and Coast Guard during this period, and it excludes those in the National Guard and military Reserves, unless they were called to active duty. 0 NIU (not in universe) 1 No 2 Yes, served this period Other Person Variables -- PERSON Veteran, served 1947-1950 Puerto Rico 2010: Persons age 17+ with veteran status [discrepancies: none] This variable indicates whether persons were engaged in active-duty military service in the armed forces of the United States between January, 1947 and June, 1950. It includes those on active duty in the United States Army, Air Force, Navy, Marine Corps, and Coast Guard during this period, and it excludes those in the National Guard and military Reserves, unless they were called to active duty. 0 NIU (not in universe) 1 No 2 Yes, served this period Other Person Variables -- PERSON Years in Puerto Rico Puerto Rico 2010: All persons This variable indicates the number of years the persons has lived in Puerto Rico. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 68 68 69 69 70 70 72 72 75 75 79 79 80 80 Migration: Global Variables -- PERSON Occupation, 2000 basis, probabalistic category assignment Puerto Rico 2010: All persons This variable indicates the person's occupation, 2000 basis, probabalistic category assignment. 0 Unknown Work: Occupation Variables -- PERSON Industry, 2000 basis, probabalistic category assignment Puerto Rico 2010: All persons This variable indicates the person's industry, 2000 basis, probabalistic category assignment. Work: Industry Variables -- PERSON Occupation, 2000 basis, modal category assignment Puerto Rico 2010: Persons age 16+ who worked within the last five years and persons seeking work who last worked more than 5 years ago [discrepancies: not verifiable] This variable indicates the person's occupation, 2000 basis, modal category assignment. 000 NIU (not in universe) 010 Administrative services managers 020 Farm, ranch, and other agricultural managers 040 Postmasters and mail superintendents 050 Agents and business managers of artists, performers, and athletes 100 Computer scientists and systems analysts 110 Network and computer systems administrators 120 Actuaries 135 Chemical engineers 136 Civil engineers 140 Computer hardware engineers 150 Mining and geological engineers, including mining safety engineers 160 Agricultural and food scientists 205 Directors, religious activities and education 220 Postsecondary teachers 230 Preschool and kindergarten teachers 300 Chiropractors 330 Clinical laboratory technologists and technicians 340 Emergency medical technicians and paramedics 350 Licensed practical and licensed vocational nurses 360 Nursing, psychiatric, and home health aides 420 First-line supervisors/managers of housekeeping and janitorial workers 425 Grounds maintenance workers 430 First-line supervisors/managers of gaming workers 500 First-line supervisors/managers of office and administrative support workers 510 Bill and account collectors 520 Brokerage clerks 530 Hotel, motel, and resort desk clerks 540 Receptionists and information clerks 600 First-line supervisors/managers of farming, fishing, and forestry workers 630 Paving, surfacing, and tamping equipment operators 640 Insulation workers 650 Reinforcing iron and rebar workers 700 First-line supervisors/managers of mechanics, installers, and repairers 710 Electrical and electronics repairers, industrial and utility 735 Maintenance workers, machinery 800 Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic 810 Molders and molding machine setters, operators, and tenders, metal and plastic 820 Plating and coating machine setters, operators, and tenders, metal and plastic 830 Laundry and dry-cleaning workers 840 Textile cutting machine setters, operators, and tenders 850 Cabinetmakers and bench carpenters 860 Power plant operators, distributors, and dispatchers 930 Sailors and marine oilers 950 Conveyor operators and tenders Work: Occupation Variables -- PERSON Industry, 2000 basis, modal category assignment Puerto Rico 2010: Persons age 16+ who worked within the last five years and persons seeking work who last worked more than 5 years ago [discrepancies: not verifiable] This variable indicates the person's industry, 2000 basis, modal category assignment. 000 NIU (not in universe) 107 Animal food, grain, and oilseed milling 137 Beverage manufacturing 647 Newspaper publishers 648 Publishing, except newspapers and software 649 Software publishing 999 Unknown Work: Industry Variables -- PERSON Occupation, 1990 basis, probabalistic category assignment Puerto Rico 2010: All persons This variable indicates the person's occupation, 1990 basis, probabalistic category assignment. 0 Unknown Work: Occupation Variables -- PERSON Industry, 1990 basis, probabalistic category assignment Puerto Rico 2010: All persons This variable indicates the person's industry, 1990 basis, probabalistic category assignment. 0 Unknown Work: Industry Variables -- PERSON Occupation, 1990 basis, modal category assignment Puerto Rico 2010: Persons age 16+ who worked within the last five years and persons seeking work who last worked more than 5 years ago [discrepancies: not verifiable] This variable indicates the person's occupation, 1990 basis, modal category assignment. 000 NIU (not in universe) 016 Postmasters and mail superintendents 022 Managers and administrators, n.e.c. 034 Business and promotion agents 046 Mining 048 Chemical 053 Civil 055 Electrical and electronic 064 Computer systems analysts and scientists 066 Actuaries 077 Agricultural and food scientists 089 Health diagnosing practitioners, n.e.c. 154 Postsecondary teachers, subject n.s. 155 Teachers, prekindergarten and kindergarten 177 Religious workers, n.e.c. 203 Clinical laboratory technologists and technicians 207 Licensed practical nurses 208 Health technologists and technicians, n.e.c. 303 Supervisors, general office 317 Hotel clerks 323 Information clerks, n.e.c. 336 Records clerks 378 Bill and account collectors 447 Nursing aides, orderlies, and attendants 448 Supervisors, cleaning and building service workers 475 Managers, farms, except horticultural 477 Supervisors, farm workers 486 Groundskeepers and gardeners, except farm 503 Supervisors, mechanics and repairers 519 Machinery maintenance occupations 523 Electronic repairers, communications and industrial equipment 593 Insulation workers 594 Paving, surfacing, and tamping equipment operators 597 Structural metal workers 657 Cabinet makers and bench carpenters 695 Power plant operators 709 Grinding, abrading, buffing, and polishing machine operators 719 Molding and casting machine operators 723 Metal plating machine operators 743 Textile cutting machine operators 748 Laundering and dry cleaning machine operators 829 Sailors and deckhands 859 Miscellaneous material moving equipment operators Work: Occupation Variables -- PERSON Industry, 1990 basis Puerto Rico 2010: Persons age 16+ who worked within the last five years and persons seeking work who last worked more than 5 years ago [discrepancies: not verifiable] This variable classifies industries from all years since 1950 into the 1990 Census Bureau industrial classification scheme. 000 NIU (not in universe) 010 Agricultural production, crops 011 Agricultural production, livestock 012 Veterinary services 020 Landscape and horticultural services 031 Forestry 032 Fishing, hunting, and trapping 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 141 Carpets and rugs 142 Yarn, thread, and fabric mills 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 221 Footwear, except rubber and plastic 222 Leather products, except footwear 231 Sawmills, planing mills, and millwork 242 Furniture and fixtures 250 Glass and glass products 251 Cement, concrete, gypsum, and plaster products 252 Structural clay 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 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 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. 351 Motor vehicles and motor vehicle equipment 352 Aircraft and parts 360 Ship and boat building and repairing 362 Guided missiles, space vehicles, and parts 371 Scientific and controlling instruments 372 Medical, dental, and optical instruments and supplies 390 Toys, amusement, and sporting goods 391 Miscellaneous manufacturing industries 392 Manufacturing industries, n.s. 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 432 Services incidental to transportation 440 Radio and television broadcasting and cable 441 Telephone communications 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 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 591 Department stores 600 Miscellaneous general merchandise stores 601 Grocery 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 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 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 852 Libraries 860 Educational services, n.e.c. 861 Job training and vocational rehabilitation services 862 Child day care services 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 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 960 Military Reserves or National Guard 992 Last worked 1984 or earlier Work: Industry Variables -- PERSON Flag for HISPAN Puerto Rico 2010: All persons This variable is a data quality flag for HISPAN (Hispanic origin). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for YRSPR Puerto Rico 2010: All persons This variable is a data quality flag for Years in Puerto Rico. 0 Not allocated 4 Failed edit Person Imputation Flags Variables -- PERSON Occupation, 1990 basis Puerto Rico 2010: Persons age 16+ who worked within the last five years and persons seeking work who last worked more than 5 years ago [discrepancies: not verifiable] This variable indicates the person's occupation, 1990 basis. 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 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 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 068 Mathematicians and mathematical scientists 073 Chemists 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 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 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 169 Social scientists, n.e.c. 174 Social workers 175 Recreation workers 176 Clergy and religious workers 178 Lawyers 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 203 Clinical laboratory technologies and technicians 205 Health record tech specialists 206 Radiologic tech specialists 207 Licensed practical nurses 208 Health technologists and technicians, n.e.c. 214 Engineering technicians, n.e.c. 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 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 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 303 Office supervisors 308 Computer and peripheral equipment operators 313 Secretaries 315 Typists 316 Interviewers, enumerators, and surveyors 317 Hotel clerks 318 Transportation ticket and reservation agents 319 Receptionists 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 344 Billing clerks and related financial records processing 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 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 385 Data entry keyers 386 Statistical clerks 389 Administrative support jobs, n.e.c. 405 Housekeepers, maids, butlers, stewards, and lodging quarters cleaners 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 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) 479 Farm 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 refigeration mechanics 535 Precision makers, repairers, and smiths 539 Repairers of mechanical controls and valves 543 Elevator installers and repairers 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 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 599 Construction trades, n.e.c. 615 Explosives workers 617 Other mining occupations 628 Production supervisors or foremen 634 Tool and die makers and die setters 637 Machinists 649 Engravers 657 Cabinetmakers and bench carpenters 658 Furniture and wood finishers 666 Dressmakers and seamstresses 668 Upholsterers 669 Shoe repairers 675 Hand molders and shapers, except jewelers 677 Optical goods workers 678 Dental laboratory and medical appliance technicians 679 Bookbinders 686 Butchers and meat cutters 687 Bakers 688 Batch food makers 694 Water and sewage treatment plant operators 695 Power plant operators 696 Plant and system operators, stationary engineers 699 Other plant and system operators 706 Punching and stamping press operatives 719 Molders, and casting machine operators 723 Metal platers 726 Wood lathe, routing, and planing machine operators 727 Sawing machine operators and sawyers 729 Nail and tacking machine operators (woodworking) 736 Typesetters and compositors 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 maching 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 769 Slicing and cutting machine operators 773 Motion picture projectionists 779 Machine operators, n.e.c. 783 Welders and metal cutters 785 Assemblers of electrical equipment 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 824 Locomotive operators (engineers and firemen) 829 Ship crews and marine engineers 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 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 905 Military 991 Unemployed 999 NIU (not in universe) Work: Occupation Variables -- PERSON PUMA of residence 1 year ago Puerto Rico 2010: Persons age 1+ who moved within the country last year [discrepancies: none] This variable identifies the location where the respondent lived one year ago, in terms of the Public Use Microdata Area of 100,000+ residents, defined by the Census Bureau. 00 NIU (not in universe) 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 29 29 30 30 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 45 45 46 46 47 47 56 56 Migration: Global Variables -- PERSON Time of arrival at work Puerto Rico 2010: Persons age 16+ who traveled to work [discrepancies: none] This variable reports the time that the respondent usually arrived at work last week. Time is measured using time intervals based on the 24-hour clock and is coded using the latest time in the interval, such that arrival between 12:01 a.m. and 12:04 a.m. is coded as 0004 and arrival between 11:55 p.m. and 11:59 p.m. is coded as 2359. 0000 NIU (not in universe) 0004 4 0014 14 0024 24 0039 39 0044 44 0049 49 0059 59 0104 104 0109 109 0119 119 0124 124 0134 134 0139 139 0144 144 0149 149 0159 159 0204 204 0209 209 0214 214 0219 219 0224 224 0229 229 0234 234 0239 239 0244 244 0249 249 0254 254 0259 259 0304 304 0309 309 0314 314 0319 319 0324 324 0329 329 0334 334 0339 339 0344 344 0349 349 0354 354 0359 359 0404 404 0409 409 0414 414 0419 419 0424 424 0429 429 0434 434 0439 439 0444 444 0449 449 0454 454 0459 459 0504 504 0509 509 0514 514 0519 519 0524 524 0529 529 0534 534 0539 539 0544 544 0549 549 0554 554 0559 559 0604 604 0609 609 0614 614 0619 619 0624 624 0629 629 0634 634 0639 639 0644 644 0649 649 0654 654 0659 659 0704 704 0709 709 0714 714 0719 719 0724 724 0729 729 0734 734 0739 739 0744 744 0749 749 0754 754 0759 759 0804 804 0809 809 0814 814 0819 819 0824 824 0829 829 0834 834 0839 839 0844 844 0849 849 0854 854 0859 859 0904 904 0909 909 0914 914 0919 919 0924 924 0929 929 0934 934 0939 939 0944 944 0949 949 0954 954 0959 959 1004 1004 1009 1009 1014 1014 1019 1019 1024 1024 1029 1029 1034 1034 1039 1039 1044 1044 1049 1049 1054 1054 1059 1059 1104 1104 1109 1109 1114 1114 1119 1119 1124 1124 1129 1129 1134 1134 1139 1139 1144 1144 1149 1149 1154 1154 1159 1159 1204 1204 1209 1209 1214 1214 1219 1219 1224 1224 1229 1229 1234 1234 1239 1239 1244 1244 1249 1249 1254 1254 1259 1259 1304 1304 1309 1309 1314 1314 1319 1319 1324 1324 1329 1329 1334 1334 1339 1339 1344 1344 1349 1349 1354 1354 1359 1359 1404 1404 1409 1409 1414 1414 1419 1419 1424 1424 1429 1429 1434 1434 1439 1439 1444 1444 1449 1449 1454 1454 1459 1459 1504 1504 1509 1509 1514 1514 1519 1519 1524 1524 1529 1529 1534 1534 1539 1539 1544 1544 1549 1549 1554 1554 1559 1559 1604 1604 1609 1609 1614 1614 1619 1619 1624 1624 1629 1629 1634 1634 1639 1639 1644 1644 1649 1649 1654 1654 1659 1659 1704 1704 1709 1709 1714 1714 1719 1719 1724 1724 1729 1729 1734 1734 1739 1739 1744 1744 1749 1749 1754 1754 1759 1759 1804 1804 1809 1809 1814 1814 1819 1819 1824 1824 1829 1829 1834 1834 1839 1839 1844 1844 1849 1849 1854 1854 1859 1859 1904 1904 1909 1909 1914 1914 1919 1919 1924 1924 1929 1929 1934 1934 1939 1939 1944 1944 1949 1949 1954 1954 1959 1959 2004 2004 2014 2014 2019 2019 2024 2024 2029 2029 2034 2034 2044 2044 2054 2054 2059 2059 2104 2104 2109 2109 2114 2114 2119 2119 2124 2124 2129 2129 2134 2134 2139 2139 2144 2144 2149 2149 2154 2154 2159 2159 2204 2204 2209 2209 2214 2214 2219 2219 2224 2224 2229 2229 2234 2234 2244 2244 2249 2249 2254 2254 2259 2259 2304 2304 2309 2309 2314 2314 2319 2319 2324 2324 2334 2334 2349 2349 2354 2354 2359 2359 Work Variables -- PERSON Super-PUMA of residence 1 year ago Puerto Rico 2010: Persons age 1+ who moved within the country last year [discrepancies: none] This variable documents the Super-PUMA of residence for respondents one year ago. See the variable description for PUMASUPR for further discussion of Super-PUMAs. Users may also want to consult the related variable, MIGPUMA1, which provides information on the PUMA of residence for respondents one year ago. 000 NIU (not in universe) 010 10 020 20 030 30 040 40 050 50 060 60 070 70 080 80 089 89 090 90 091 91 099 99 100 100 110 110 120 120 130 130 140 140 150 150 160 160 170 170 180 180 200 200 230 230 300 300 309 309 400 400 409 409 500 500 600 600 700 700 800 800 809 809 Migration: Global Variables -- PERSON Tribe Puerto Rico 2010: Persons who reported only an American Indian or Alaska Native race [discrepancies: type I none; type II 0.3%] This variable indicates the tribe for all persons who reported their race as American Indian or Alaska Native. 000000 NIU (not in universe) 200300 Apache 209600 Pueblo 213200 American Indian, tribe not elsewhere classified 213300 American Indian, tribe not reported 300100 American Indian or Alaska Native, tribe not elsewhere classified 999999 Unknown Ethnicity and Language Variables -- PERSON Subfamily membership Puerto Rico 2010: All persons This variable indicates to which subfamily within the housing unit the person belongs. 0 Group quarters or not in subfamily 1 1st subfamily in household 2 2nd subfamily in household Constructed Family Interrelationship Variables -- PERSON Subfamily type Puerto Rico 2010: All persons This variable indicates the subfamily type to which the person belongs. 0 Group quarters or not in subfamily 1 Married-couple related subfamily with children 2 Married-couple related subfamily without children 3 Father-child related subfamily 4 Mother-child related subfamily 5 Married-couple unrelated subfamily with children 6 Married-couple unrelated subfamily without children 7 Father-child unrelated subfamily 8 Mother-child unrelated subfamily Constructed Family Interrelationship Variables -- PERSON Relationship within subfamily Puerto Rico 2010: All persons This variable indicates the person's relationship within the subfamily. Persons not in a subfamily are assigned a value of 0. 0 Group quarters or not in subfamily 1 Reference person 2 Spouse (married-couple subfamily only) 3 Child Constructed Family Interrelationship Variables -- PERSON Total family income Puerto Rico 2010: All persons This variable indicates the total income earned by one's family in the previous 12 months. PR2010A_0670 is a 7-digit numeric variable. Codes9999999 = Unknown. Income Variables -- PERSON Vision difficulty <span class="em">17. b) Is this person blind or does he/she have serious difficulty seeing even when wearing glasses?</span><div class="i1">[] Yes<br />[] No</div> Puerto Rico 2010: All persons This variable indicates whether the person has difficulty seeing. 1 No 2 Yes Disability Variables -- PERSON Hearing difficulty <span class="em">17. a) Is this person deaf or does he/she have serious difficulty hearing?</span><div class="i1">[] Yes<br />[] No</div> Puerto Rico 2010: All persons This variable indicates whether the person has difficulty hearing. 1 No 2 Yes Disability Variables -- PERSON Divorced in the past year <span class="em">21. In the past 12 months did this person get:</span><div class="i1">[] Married?<br />[] Widowed?<br />[] Divorced?</div> Puerto Rico 2010: Persons age 15+ who had ever married [discrepancies: none] This variable indicates whether the person has divorced in the past year. 0 NIU (not in universe) 1 No 2 Yes Demographic Variables -- PERSON Any health insurance coverage [Question 13- 17 were asked of all persons.]</p> <p><span class="em">16. Is this person currently covered by any of the following types of health insurance or health coverage plans? </span><div class="i1">Indicate with "yes" or "no.</div> Puerto Rico 2010: All persons This variable indicates whether the person has any health insurance coverage. 1 No health insurance coverage 2 With health insurance coverage Other Person Variables -- PERSON Private health insurance coverage Puerto Rico 2010: All persons This variable indicates whether the person has private health insurance coverage. 1 Without private health insurance coverage 2 With private health insurance coverage Other Person Variables -- PERSON Health insurance through employer/union [Question 13- 17 were asked of all persons.]</p> <p><span class="em">16. Is this person currently covered by any of the following types of health insurance or health coverage plans? </span><div class="i1">Indicate with "yes" or "no.</div><div class="i1">a) Insurance through a current or former employer or union (of this person or another family member)</div><div class="i2">[] Yes<br />[] No</div> 16. Mark the "Yes" or "No" box for each part of question 16.</p> <p>If the person reports any other type of coverage plan in 16h, specify the type of coverage or name of the plan in the write-in box. Do not include plans that cover only one type of health care (such as dental plans) or plans that only cover a person in case of an accident or disability. Puerto Rico 2010: All persons This variable indicates whether the person has health insurance through an employer or union. 1 No insurance through employer/union 2 Has insurance through employer/union Other Person Variables -- PERSON Health insurance purchased directly [Question 13- 17 were asked of all persons.]</p> <p><span class="em">16. Is this person currently covered by any of the following types of health insurance or health coverage plans? </span><div class="i1">Indicate with "yes" or "no.</div><div class="i1">b) Insurance purchased directly from an insurance company (by this person or another family member)</div><div class="i2">[] Yes<br />[] No</div> 16. Mark the "Yes" or "No" box for each part of question 16.</p> <p>If the person reports any other type of coverage plan in 16h, specify the type of coverage or name of the plan in the write-in box. Do not include plans that cover only one type of health care (such as dental plans) or plans that only cover a person in case of an accident or disability. Puerto Rico 2010: All persons This variable indicates whether the person has health insurance purchased directly. 1 No insurance purchased directly 2 Has insurance purchased directly Other Person Variables -- PERSON Health insurance through TRICARE [Question 13- 17 were asked of all persons.]</p> <p><span class="em">16. Is this person currently covered by any of the following types of health insurance or health coverage plans? </span><div class="i1">Indicate with "yes" or "no.</div><div class="i1">e) Tricare or other military health care</div><div class="i2">[] Yes<br />[] No</div> 16. Mark the "Yes" or "No" box for each part of question 16.</p> <p>If the person reports any other type of coverage plan in 16h, specify the type of coverage or name of the plan in the write-in box. Do not include plans that cover only one type of health care (such as dental plans) or plans that only cover a person in case of an accident or disability. Puerto Rico 2010: All persons This variable indicates whether, at the time of interview, the person was covered by TRICARE (the health program of the United States military) or another military health program. 1 No insurance through TRICARE 2 Has insurance through TRICARE Other Person Variables -- PERSON Public health insurance coverage Puerto Rico 2010: All persons This variable indicates whether the person has public health insurance coverage at the time of interview. 1 Without public health insurance coverage 2 With public health insurance coverage Other Person Variables -- PERSON Health insurance through Medicaid [Question 13- 17 were asked of all persons.]</p> <p><span class="em">16. Is this person currently covered by any of the following types of health insurance or health coverage plans? </span><div class="i1">Indicate with "yes" or "no.</div><div class="i1">d) Medicaid, Medical Assistance, or any kind of government-assistance plan for those with low incomes or a disability</div><div class="i2">[] Yes<br />[] No</div> 16. Mark the "Yes" or "No" box for each part of question 16.</p> <p>If the person reports any other type of coverage plan in 16h, specify the type of coverage or name of the plan in the write-in box. Do not include plans that cover only one type of health care (such as dental plans) or plans that only cover a person in case of an accident or disability. Puerto Rico 2010: All persons This variable indicates whether, at the time of interview, the person was covered by Medicaid, Medical Assistance, or any other kind of government-assistance plan for those with low incomes or a disability. 1 No insurance through Medicaid 2 Has insurance through Medicaid Other Person Variables -- PERSON Health insurance through Medicare [Question 13- 17 were asked of all persons.]</p> <p><span class="em">16. Is this person currently covered by any of the following types of health insurance or health coverage plans? </span><div class="i1">Indicate with "yes" or "no.</div><div class="i1">c) Medicare, for people 65 and older, or people with certain disabilities</div><div class="i2">[] Yes<br />[] No</div> 16. Mark the "Yes" or "No" box for each part of question 16.</p> <p>If the person reports any other type of coverage plan in 16h, specify the type of coverage or name of the plan in the write-in box. Do not include plans that cover only one type of health care (such as dental plans) or plans that only cover a person in case of an accident or disability. Puerto Rico 2010: All persons This variable indicates whether, at the time of interview, the person had health insurance through Medicare. 1 No insurance through Medicare 2 Has insurance through Medicare Other Person Variables -- PERSON Health insurance through VA [Question 13- 17 were asked of all persons.]</p> <p><span class="em">16. Is this person currently covered by any of the following types of health insurance or health coverage plans? </span><div class="i1">Indicate with "yes" or "no.</div><div class="i1">f) VA (including those who have ever used or enrolled for VA health care)</div><div class="i2">[] Yes<br />[] No</div> 16. Mark the "Yes" or "No" box for each part of question 16.</p> <p>If the person reports any other type of coverage plan in 16h, specify the type of coverage or name of the plan in the write-in box. Do not include plans that cover only one type of health care (such as dental plans) or plans that only cover a person in case of an accident or disability. Puerto Rico 2010: All persons This variable indicates whether, at the time of interview, the person had health insurance through the United States Veterans' Administration. 1 No insurance through VA 2 Has insurance through VA Other Person Variables -- PERSON Health insurance through Indian Health Service [Question 13- 17 were asked of all persons.]</p> <p><span class="em">16. Is this person currently covered by any of the following types of health insurance or health coverage plans? </span><div class="i1">Indicate with "yes" or "no.</div><div class="i1">g) Indian Health Service</div><div class="i2">[] Yes<br />[] No</div> 16. Mark the "Yes" or "No" box for each part of question 16.</p> <p>If the person reports any other type of coverage plan in 16h, specify the type of coverage or name of the plan in the write-in box. Do not include plans that cover only one type of health care (such as dental plans) or plans that only cover a person in case of an accident or disability. Puerto Rico 2010: All persons This variable indicates whether the person has health insurance through the Indian Health Service. 1 No insurance through Indian Health Service 2 Has insurance through Indian Health Service Other Person Variables -- PERSON VA service-connected disability rating [Question 25 - 31 were asked of all persons.]</p> <p><span class="em">28. a) Does this person have a VA service-connected disability rating</span>?</p> <div class="i1">[] Yes (such as 0%, 10%, 20%... 100%)<br />[] No -- Skip to question 29a</div><span class="em">28. b) What is this person's service-connected disability rating?</span><div class="i1">[] 0 percent<br />[] 10 or 20 percent<br />[] 30 or 40 percent<br />[] 50 or 60 percent<br />[] 70 percent or higher</div> Puerto Rico 2010: Persons age 17+ with veteran status [discrepancies: none] This variable gives the disability rating (if any) of veterans who have a service-connected disability. 0 NIU (not in universe) 1 No disability rating 2 0 percent disability rating 3 10 or 20 percent disability rating 4 30 or 40 percent 5 50 or 60 percent 6 70 percent or higher 9 Has disability rating, level not reported Other Person Variables -- PERSON Widowed in the past year [Persons age 15 and over.]</p> <p><span class="em">21. In the past 12 months did this person get:</span><div class="i1">[] Married?<br />[] Widowed?<br />[] Divorced?</div> Puerto Rico 2010: Persons age 15+ who had ever married [discrepancies: none] This variable indicates whether the person had been widowed in the past year. 0 NIU (not in universe) 1 No 2 Yes Demographic Variables -- PERSON Year married [Persons age 15 and over.]</p> <p><span class="em">23. In what year did this person last get married?</span><div class="i1">Year _ _ _ _</div> 20. Mark the "Now married" box for a married person regardless of whether his or her spouse is living in the household unless they are separated. If the person's only marriage was annulled, mark the "Never married" box.</p> <p>23. Write the four-digit year when the person last got married, even if the person is now widowed, divorced, or separated. Puerto Rico 2010: Persons age 15+ who had ever married [discrepancies: none] This variable indicates the year in which the person was last married. 0000 NIU (not in universe) 1928 1928 1930 1930 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 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 1988 1988 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 Demographic Variables -- PERSON Data quality flag for DIFFEYE Puerto Rico 2010: All persons This variable is a data quality flag for DIFFEYE (vision difficulty). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Data quality flag for DIFFHEAR Puerto Rico 2010: All persons This variable is a data quality flag for DIFFHEAR (hearing difficulty). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Data quality flag for DIVINYR Puerto Rico 2010: All persons This variable is a data quality flag for DIVINYR (divorced in the past year). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Data quality flag for HCOVANY Puerto Rico 2010: All persons This variable is a data quality flag for HCOVANY (any health insurance coverage). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Data quality flag for HCOVPRIV Puerto Rico 2010: All persons This variable is a data quality flag for HCOVPRIV (private health insurance coverage). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Data quality flag for HINSEMP Puerto Rico 2010: All persons This variable is a data quality flag for HINSEMP (health insurance through employer/union). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Data quality flag for HINSPUR Puerto Rico 2010: All persons This variable is a data quality flag for HINSPUR (health insurance purchased directly). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Data quality flag for HINSTRI Puerto Rico 2010: All persons This variable is a data quality flag for HINSTRI (health insurance through TRICARE). 0 Not allocated 2 Coverage removed through logical edit 3 Coverage added through logical edit 4 Allocated Person Imputation Flags Variables -- PERSON Data quality flag for HCOVPUB Puerto Rico 2010: All persons This variable is a data quality flag for HCOVPUB (public health insurance coverage). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Data quality flag for HINSCAID Puerto Rico 2010: All persons This variable is a data quality flag for HINSCAID (health insurance through Medicaid). 0 Not allocated 2 Coverage removed through logical edit 3 Coverage added through logical edit 4 Allocated Person Imputation Flags Variables -- PERSON Data quality flag for HINSCARE Puerto Rico 2010: All persons This variable is a data quality flag for HINSCARE (health insurance through Medicare). 0 Not allocated 2 Coverage removed through logical edit 3 Coverage added through logical edit 4 Allocated Person Imputation Flags Variables -- PERSON Data quality flag for HINSVA Puerto Rico 2010: All persons This variable is a data quality flag for HINSVA (health insurance through VA). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Data quality flag for HINSIHS Puerto Rico 2010: All persons This variable is a data quality flag for HINSIHS (health insurance through Indian Health Services). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Data quality flag for VETDISAB Puerto Rico 2010: All persons This variable is a data quality flag for VETDISAB (VA service-connected disability rating). 0 Not allocated 4 Only disability status allocated 5 Only disability rating allocated 6 Both disability status and rating allocated Person Imputation Flags Variables -- PERSON Data quality flag for WIDINYR Puerto Rico 2010: All persons This variable is a data quality flag for WIDINYR (widowed in the past year). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Data quality flag for YRLSTMAR Puerto Rico 2010: All persons This variable is a data quality flag for YRMARR (year married). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Year naturalized Puerto Rico 2010: Foreign-born persons [discrepancies: type I none; type Ii 2.0%] This variable indicates the year in which a foreign-born person was naturalized. 0000 NIU (not in universe) 1936 1936 1950 1950 1955 1955 1956 1956 1958 1958 1959 1959 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 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 1988 1988 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 9999 Unknown Nativity and Birthplace Variables -- PERSON Grade level attending [Questions 7-48 were asked of all persons.]</p> <p><span class="em">10. a) At any time in the last 3 months, has this person attended school or college?</span><div class="i1">Include only nursery or preschool, kindergarten, elementary school, home school, and schooling which leads to a high school diploma or a college degree.<br /><br />[] No, has not attended in the last 3 months - Skip to question 11<br />[] Yes, public school, public college<br />[] Yes, private school, private college, home school</div><span class="em">10. b) What grade or level was this person attending?</span><div class="i1">Mark (X) in one box.<br /><br />[] Nursery school, preschool<br />[] Kindergarten<br />[] Grade 1 through 12(Specify grade 1-12) _ _<br />[] College undergraduate years (freshman to senior)<br />[] Graduate or professional school beyond a bachelor's degree</div><div class="i2">For example: MA or PhD program, or medical or law school</div> Puerto Rico 2010: Persons attending school [discrepancies: none] This variable indicates the grade level person was attending. 00 NIU (not in universe) 10 Nursery school/preschool 20 Kindergarten 31 Grade 1 32 Grade 2 33 Grade 3 34 Grade 4 41 Grade 5 42 Grade 6 43 Grade 7 44 Grade 8 51 Grade 9 52 Grade 10 53 Grade 11 54 Grade 12 60 College undergraduate 70 Graduate or professional school Education Variables -- PERSON Educational attainment [Questions 7-48 were asked of all persons.]</p> <p><span class="em">10. a) At any time in the last 3 months, has this person attended school or college?</span><div class="i1">Include only nursery or preschool, kindergarten, elementary school, home school, and schooling which leads to a high school diploma or a college degree.<br /><br />[] No, has not attended in the last 3 months - Skip to question 11<br />[] Yes, public school, public college<br />[] Yes, private school, private college, home school</div><span class="em">11. What is the highest degree or level of school this person has completed?</span><div class="i1">Mark (X) in one box. If currently enrolled, mark the previous grade or highest degree received.<br /><br />No schooling completed</div><div class="i2">[] No schooling completed</div><div class="i1">Nursery or preschool through grade 12</div><div class="i2">[] Nursery school<br />[] Kindergarten<br />[] Grade 1 through 11 (Specify grade 1-11) _ _<br />[] 12th grade with no diploma</div><div class="i1">High School graduate</div><div class="i2">[] Regular high school diploma<br />[] GED or alternative credential</div><div class="i1">College or some college</div><div class="i2">[] Some college credit, but less than 1 year of college credit<br />[] 1 or more years of college credit, no degree<br />[] Associate's degree (for example: AA, AS)<br />[] Bachelor's degree (for example: BA, BS)</div><div class="i1">After Bachelor's degree</div><div class="i2">[] Master's degree (for example: MA, MS, MEng, MEd, MSW, MBA)<br />[] Professional degree beyond a bachelor's degree (for example: MD, DDS, DVM, LLB, JD)<br />[] Doctorate degree (for example: PhD, EdD)</div> Puerto Rico 2010: Persons age 3+ [discrepancies: none] This variable indicates the person's educational attainment. 000 NIU (not in universe) 002 No schooling completed 011 Nursery school, preschool 012 Kindergarten 014 Grade 1 015 Grade 2 016 Grade 3 017 Grade 4 022 Grade 5 023 Grade 6 025 Grade 7 026 Grade 8 030 Grade 9 040 Grade 10 050 Grade 11 061 12th grade, no diploma 063 Regular high school diploma 064 GED or alternative credential 065 Some college, but less than 1 year 071 1 or more years of college credit, no degree 081 Associate's degree, type not specified 101 Bachelor's degree 114 Master's degree 115 Professional degree beyond a bachelor's degree 116 Doctoral degree Education Variables -- PERSON Total personal income [Questions 47-48 were asked of all persons.]</p> <p><span class="em">47. Income in the past 12months.</span> <br />Mark (X) the "yes" box for each type of income this person received, and give your best estimate of the total amount during the past 12 months. (Note: The "past 12 months" is the period from today's date one year ago up through today.)</p> <p>Mark (X) the "no" box to show types of income not received</p> <p>If net income was a loss, mark the "loss" box.</p> <p>For income received jointly, report the appropriate share for each person. Or, if that's not possible, report the whole amount for only one person and mark the "no" box for the other person.</p> <p><span class="em">48. What was this person's total income during the past 12 months?</span><div class="i1">Add entries in questions 47a to 47h; subtract any losses. If net income was a loss, enter the amount and mark (X) in the "loss" box<br /><br />[] None or $_ _ _ _ _ _ _.00 (Total amount for the past 12 months)<br />[] Loss</div> 48. Add the total entries (subtracting losses) for 47a through 47h for the past 12 months and enter that number in the space provided. Mark the "Loss" box if there is a loss. Print the total amount in dollars. Puerto Rico 2010: Persons age 15+ [discrepancies: none] This variable indicates each respondent's total pre-tax personal income or losses from all sources for the previous year. PR2010A_0707 is a 7-digit numeric variable. Codes9999999= NIU. Income Variables -- PERSON Total personal earned income [Questions 47-48 were asked of all persons.]</p> <p><span class="em">47. Income in the past 12months.</span> <br />Mark (X) the "yes" box for each type of income this person received, and give your best estimate of the total amount during the past 12 months. (Note: The "past 12 months" is the period from today's date one year ago up through today.)</p> <p>Mark (X) the "no" box to show types of income not received</p> <p>If net income was a loss, mark the "loss" box.</p> <p>For income received jointly, report the appropriate share for each person. Or, if that's not possible, report the whole amount for only one person and mark the "no" box for the other person.</p> <div class="i1"><span class="em">a) Wages, salary, commissions, bonuses, or tips from all jobs.</span></div><div class="i2">Report amount before deductions for taxes, bonds, dues, or other items<br /><br />[] Yes</div><div class="i3">$_ _ _ _ _ _.00 (Total amount for the past 12 months)</div><div class="i2">[] No</div> 48. Add the total entries (subtracting losses) for 47a through 47h for the past 12 months and enter that number in the space provided. Mark the "Loss" box if there is a loss. Print the total amount in dollars. Puerto Rico 2010: All persons This variable income earned from wages or a person's own business or farm for the previous year. PR2010A_0708 is a 7-digit numeric variable. Codes0= No earnings. Income Variables -- PERSON Travel time to work [Questions 33 - 34 were asked of all persons.]</p> <p><span class="em">33. What time did this person usually leave home to go to work last week?</span><div class="i1">_ _ Hour<br />_ _ Minute<br /><br />[] a.m.<br />[] p.m.</div><span class="em">34. How many minutes did it usually take this person to get from home to work last week?</span><div class="i1">Minutes: _ _ _</div> 33. Give the time of day the person usually left home to go to work. <span class="em">Do not </span> give the time that the person usually began his or her work.</p> <p>If the person usually left home to go to work sometime between 12:00 o'clock midnight and 12:00 o'clock noon, mark a.m.</p> <p>If the person usually left home to go to work sometime between 12:00 o'clock noon and 12:00 o'clock midnight, mark p.m.</p> <p>34. Travel time is from door to door. Enter a one-way commute time for this person's usual daily commute from home to work last week. Include time waiting for public transportation or picking up passengers in a carpool. Puerto Rico 2010: Persons age 16+ who traveled to work [discrepancies: none] This variable indicates the total amount of time that the person spent travelling to work. 000 NIU (not in universe) 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 18 020 20 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 034 34 035 35 037 37 038 38 040 40 045 45 047 47 048 48 049 49 050 50 052 52 055 55 059 59 060 60 065 65 070 70 075 75 080 80 085 85 105 105+ Work Variables -- PERSON Year of immigration to Puerto Rico [Questions 7-48 were asked of all persons.]</p> <p><span class="em">9. When did this person come to live in Puerto Rico?</span><div class="i1">Year _ _ _</div> 9. If the person entered Puerto Rico more than once, enter the latest year he or she came to live in Puerto Rico. Puerto Rico 2010: Persons born outside Puerto Rico [discrepancies: none] This variable indicates the year in which the person immigrated to Puerto Rico. 0000 NIU (not in universe) 1990 1990 1986 1986 1984 1984 1981 1981 1980 1980 1979 1979 1974 1974 1970 1970 1964 1964 1959 1959 1949 1949 1932 1932 1930 1930 1935 1935 1938 1938 1940 1940 1941 1941 1942 1942 1945 1945 1946 1946 1947 1947 1948 1948 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1960 1960 1961 1961 1962 1962 1963 1963 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1971 1971 1972 1972 1973 1973 1975 1975 1976 1976 1977 1977 1978 1978 1982 1982 1983 1983 1985 1985 1987 1987 1988 1988 1989 1989 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 Migration: Global Variables -- PERSON Years since immigration to Puerto Rico (intervalled) Puerto Rico 2010: Persons born outside Puerto Rico [discrepancies: none] This variable indicates the number of years since the person immigrated to Puerto Rico (intervalled). 0 NIU (not in universe) 1 0 to 5 years 2 6 to 10 years 3 11 to 15 years 4 16 to 20 years 5 21+ years Migration: Global Variables -- PERSON Veteran status [Question 25 - 31 were asked of all persons.]</p> <p><span class="em">26. Has this person ever served on active duty in the U.S. Armed Forces, military Reserves, or National Guard?</span><div class="i1">Active duty does not include training for the Reserves or National Guard, but does include activation, for example, for the Persian Gulf War.<br /><br />[] Yes, now on active duty<br />[] Yes, on active duty during the last 12 months, but not now<br />[] Yes, on active duty in past, but not during the last 12 months<br />[] No, training for Reserves or National Guard only -- Skip to question 28a<br />[] No, never served in the military -- Skip to question 29a</div> Puerto Rico 2010: Persons age 17+ [discrepancies: none] This variable indicates whether individuals served in the military forces of the United States (Army, Navy, Air Force, Marine Corps, or Coast Guard) in time of war or peace. 00 NIU (not in universe) 10 Not a veteran 11 No military service 12 Military service, but currently on active duty 13 Training for Reserves or National Guard only 20 Veteran (on active duty in past but not now) 21 Veteran, on active duty prior to past year 22 Veteran, on active duty in past year 23 Veteran, on active duty in Reserves or National Guard only 99 Unknown Other Person Variables -- PERSON Industry Puerto Rico 2010: Persons age 16+ who worked within the last five years and persons seeking work who last worked more than 5 years ago [discrepancies: not verifiable] This variable indicates the industry in which the person works. 0000 NIU (not in universe) 0170 Crop production 0180 Animal production 0190 Forestry except logging 0280 Fishing, hunting, and trapping 0290 Support activities for agriculture and forestry 0370 Oil and gas extraction 0470 Nonmetallic mineral mining and quarrying 0490 Support activities for mining 0570 Electric power generation, transmission and distribution 0580 Natural gas distribution 0590 Electric and gas, and other combinations 0670 Water, steam, air conditioning, and irrigation systems 0680 Sewage treatment facilities 0770 Construction, including cleaning during and immediately after 1070 Animal food, grain, and oilseed milling 1080 Sugar and confectionery products 1090 Fruit and vegetable preserving and specialty food manufacturing 1170 Dairy product manufacturing 1180 Animal slaughtering and processing 1190 Retail bakeries 1270 Bakeries, except retail 1280 Seafood and other miscellaneous foods, n.e.c. 1290 Not specified food industries 1370 Beverage manufacturing 1390 Tobacco manufacturing 1480 Fabric mills, except knitting 1570 Carpets and rug mills 1590 Textile product mills, except carpet and rug 1680 Cut and sew apparel manufacturing 1770 Footwear manufacturing 1790 Leather tanning and finishing and other allied products manufacturing 1870 Pulp, paper, and paperboard mills 1880 Paperboard containers and boxes 1890 Miscellaneous paper and pulp products 1990 Printing and related support activities 2070 Petroleum refining 2090 Miscellaneous petroleum and coal products 2170 Resin, synthetic rubber, and fibers and filaments manufacturing 2180 Agricultural chemical manufacturing 2190 Pharmaceutical and medicine manufacturing 2270 Paint, coating, and adhesives manufacturing 2280 Soap, cleaning compound, and cosmetic manufacturing 2290 Industrial and miscellaneous chemicals 2370 Plastics product manufacturing 2380 Tire manufacturing 2390 Rubber products, except tires, manufacturing 2480 Structural clay product manufacturing 2490 Glass and glass product manufacturing 2570 Cement, concrete, lime, and gypsum product manufacturing 2590 Miscellaneous nonmetallic mineral product manufacturing 2670 Iron and steel mills and steel product manufacturing 2680 Aluminum production and processing 2690 Nonferrous metal, except aluminum, production and processing 2770 Foundries 2790 Cutlery and hand tool manufacturing 2870 Structural metals, and boiler, tank, and shipping container manufacturing 2880 Machine shops, turned product, screw, nut, and bolt manufacturing 2890 Coating, engraving, heat treating and allied activities 2980 Miscellaneous fabricated metal products manufacturing 2990 Not specified metal industries 3070 Agricultural implement manufacturing 3080 Construction, and mining, oil, and gas field machinery manufacturing 3090 Commercial and service industry machinery manufacturing 3170 Metalworking machinery manufacturing 3180 Engines, turbines, and power transmission equipment manufacturing 3190 Machinery manufacturing, n.e.c. 3360 Computer and peripheral equipment manufacturing 3370 Communications, and audio and video equipment manufacturing 3380 Navigational, measuring, electromedical, and control instruments manufacturing 3390 Electronic component and product manufacturing, n.e.c. 3470 Household appliance manufacturing 3490 Electric lighting and electrical equipment manufacturing, and other electrical component manufacturing, n.e.c. 3570 Motor vehicles and motor vehicle equipment manufacturing 3580 Aircraft and parts manufacturing 3590 Aerospace product and parts manufacturing 3680 Ship and boat building 3770 Sawmills and wood preservation 3870 Miscellaneous wood products 3890 Furniture and related products manufacturing 3960 Medical equipment and supplies manufacturing 3970 Sporting and athletic goods, and doll, toy, and game manufacturing 3980 Miscellaneous manufacturing, n.e.c. 3990 Not specified manufacturing industries 4070 Motor vehicles, parts and supplies, merchant wholesalers 4080 Furniture and home furnishings, merchant wholesalers 4090 Furniture and home furnishings, merchant wholesalers 4170 Professional and commercial equipment and supplies, merchant wholesalers 4180 Metals and minerals, except petroleum, merchant wholesalers 4190 Electrical goods, merchant wholesalers 4260 Hardware, plumbing and heating equipment, and supplies, merchant wholesalers 4270 Machinery, equipment, and supplies, merchant wholesalers 4280 Recyclable material, merchant wholesalers 4290 Miscellaneous durable goods, merchant wholesalers 4370 Paper and paper products, merchant wholesalers 4380 Drugs, sundries, and chemical and allied products, merchant wholesalers 4390 Apparel, fabrics, and notions, merchant wholesalers 4470 Groceries and related products, merchant wholesalers 4480 Farm product raw materials, merchant wholesalers 4490 Petroleum and petroleum products, merchant wholesalers 4560 Alcoholic beverages, merchant wholesalers 4570 Farm supplies, merchant wholesalers 4580 Miscellaneous nondurable goods, merchant wholesalers 4585 Wholesale electronic markets, agents and brokers 4590 Not specified wholesale trade 4670 Automobile dealers 4680 Other motor vehicle dealers 4690 Auto parts, accessories, and tire stores 4770 Furniture and home furnishings stores 4780 Household appliance stores 4790 Radio, TV, and computer stores 4870 Building material and supplies dealers 4880 Hardware stores 4890 Lawn and garden equipment and supplies stores 4970 Grocery stores 4980 Specialty food stores 4990 Beer, wine, and liquor stores 5070 Pharmacies and drug stores 5080 Health and personal care, except drug stores 5090 Gasoline stations 5170 Clothing stores 5180 Shoe stores 5190 Jewelry, luggage, and leather goods stores 5270 Sporting goods, camera, and hobby and toy stores 5280 Sewing, needlework, and piece goods stores 5290 Music stores 5370 Book stores and news dealers 5380 Department and discount stores 5390 Miscellaneous general merchandise stores 5470 Retail florists 5480 Office supplies and stationary stores 5490 Used merchandise stores 5570 Gift, novelty, and souvenir shops 5580 Miscellaneous retail stores 5591 Electronic auctions 5592 Mail-order houses 5670 Vending machine operators 5680 Fuel dealers 5690 Other direct selling establishments 5790 Not specified retail trade 6070 Air transportation 6090 Water transportation 6170 Truck transportation 6180 Bus service and urban transit 6190 Taxi and limousine service 6270 Pipeline transportation 6280 Scenic and sightseeing transportation 6290 Services incidental to transportation 6370 Postal Service 6380 Couriers and messengers 6390 Warehousing and storage 6470 Newspaper publishers 6480 Periodical, book, and directory publishers 6570 Motion pictures and video industries 6590 Sound recording industries 6670 Broadcasting, except Internet 6680 Wired telecommunications carriers 6690 Other telecommunication services, except wired telecommunications carriers 6695 Data processing, hosting, and related services 6770 Libraries and archives 6870 Other information services, except libraries and archives, and Internet publishing and broadcasting and web search portals 6880 Savings institutions, including credit unions 6890 Non-depository credit and related activities 6970 Securities, commodities, funds, trusts, and other financial investments 6990 Insurance carriers and related activities 7070 Real estate 7080 Automotive equipment rental and leasing 7170 Video tape and disk rental 7180 Other consumer goods rental 7190 Commercial, industrial, and other intangible assets rental and leasing 7270 Legal services 7280 Accounting, tax preparation, bookkeeping, and payroll services 7290 Architectural, engineering, and related services 7370 Specialized design services 7380 Computer systems design and related services 7390 Management, scientific, and technical consulting services 7460 Scientific research and development services 7470 Advertising and related services 7480 Veterinary services 7490 Other professional, scientific, and technical services 7570 Management of companies and enterprises 7580 Employment services 7590 Business support services 7670 Travel arrangements and reservation services 7680 Investigation and security services 7690 Services to buildings and dwellings, except construction cleaning 7770 Landscaping services 7780 Other administrative and other support services 7790 Waste management and remediation services 7860 Elementary and secondary schools 7870 Colleges and universities, including junior colleges 7880 Business, technical, and trade schools and training 7890 Other schools and instruction, and educational services 7970 Offices of physicians 7980 Offices of dentists 7990 Office of chiropractors 8070 Offices of optometrists 8080 Offices of other health practitioners 8090 Outpatient care centers 8170 Home health care services 8180 Other health care services 8190 Hospitals 8270 Nursing care facilities 8290 Residential care facilities, without nursing 8370 Individual and family services 8380 Community food and housing, and emergency services 8390 Vocational rehabilitation services 8470 Child day care services 8560 Independent artists, performing arts, spectator sports, and related industries 8570 Museums, art galleries, historical sites, and similar institutions 8580 Bowling centers 8590 Other amusement, gambling, and recreation industries 8660 Traveler accommodation 8670 Recreational vehicle parks and camps, and rooming and boarding houses 8680 Restaurants and other food services 8690 Drinking places, alcoholic beverages 8770 Automotive repair and maintenance 8780 Car washes 8790 Electronic and precision equipment repair and maintenance 8870 Commercial and industrial machinery and equipment repair and maintenance 8880 Personal and household goods repair and maintenance 8970 Barber shops 8980 Beauty salons 8990 Nail salons and other personal care services 9070 Dry cleaning and laundry services 9080 Funeral homes, cemeteries and crematories 9090 Other personal services 9160 Religious organizations 9170 Civic, social, advocacy organizations, and grantmaking and giving services 9180 Labor unions 9190 Professional, political, and similar organizations 9290 Private households 9370 Executive offices and legislative bodies 9380 Public finance activities 9390 Other general government and support 9470 Justice, public order, and safety activities 9480 Administration of human resource programs 9490 Administration of environmental quality and housing programs 9570 Administration of economic programs and space research 9590 National security and international affairs 9670 U.S. Army 9680 U.S. Air Force 9690 U.S. Navy 9770 U.S. Marines 9780 U.S. Coast Guard 9870 Military reserves or National Guard 9920 Unemployed, last worked 5 years ago or earlier or never worked Work: Industry Variables -- PERSON Private health insurance coverage (original) Puerto Rico 2010: All persons This variable indicates whether the person has private health insurance coverage (original). 1 Without private health insurance coverage 2 With private health insurance coverage Other Person Variables -- PERSON Public health insurance coverage (original) Puerto Rico 2010: All persons This variable indicates whether the person has public health insurance coverage (original). 1 Without public health insurance coverage 2 With public health insurance coverage Other Person Variables -- PERSON Field of degree [Question 12 was asked of persons with a bachelor's degree of higher.]</p> <p><span class="em">12. This question focuses on this person's Bachelor's degrees.</span><div class="i1">Please print below the specific major(s) of any Bachelor's degrees this person has received. For example: chemical engineering, elementary teacher education, organizational psychology. <br />____</div> 12. Answer this question only if the person has a bachelor's degree or higher and print the specific major of this person's bachelor's degree. If this person has more than one bachelor's degree or more than one major, print the names of the specific majors for all of this person's bachelor's degree(s). Puerto Rico 2010: Persons with bachelor's degree or higher [discrepancies: none] This variable reports the field in which the person received a Bachelor's degree, if the person holds a Bachelor's degree. 0000 NIU (not in universe) 1100 General Agriculture 1101 Agriculture Production and Management 1102 Agricultural Economics 1103 Animal Sciences 1104 Food Science 1105 Plant Science and Agronomy 1106 Soil Science 1199 Miscellaneous Agriculture 1300 Environment and Natural Resources 1301 Environmental Science 1302 Forestry 1303 Natural Resources Management 1401 Architecture 1501 Area, Ethnic, and Civilization Studies 1900 Communications 1901 Communications 1902 Journalism 1903 Mass Media 1904 Advertising and Public Relations 2001 Communication Technologies 2100 Computer and Information Systems 2101 Computer Programming and Data Processing 2102 Computer Science 2105 Information Sciences 2106 Computer Information Management and Security 2107 Computer Networking and Telecommunications 2201 Cosmetology Services and Culinary Arts 2300 General Education 2301 Educational Administration and Supervision 2303 School Student Counseling 2304 Elementary Education 2305 Mathematics Teacher Education 2306 Physical and Health Education Teaching 2307 Early Childhood Education 2308 Science and Computer Teacher Education 2309 Secondary Teacher Education 2310 Special Needs Education 2311 Social Science or History Teacher Education 2312 Teacher Education: Multiple Levels 2313 Language and Drama Education 2314 Art and Music Education 2399 Miscellaneous Education 2400 General Engineering 2401 Aerospace Engineering 2402 Biological Engineering 2403 Architectural Engineering 2404 Biomedical Engineering 2405 Chemical Engineering 2406 Civil Engineering 2407 Computer Engineering 2408 Electrical Engineering 2409 Engineering Mechanics, Physics, and Science 2410 Environmental Engineering 2411 Geological and Geophysical Engineering 2412 Industrial and Manufacturing Engineering 2413 Materials Engineering and Materials Science 2414 Mechanical Engineering 2415 Metallurgical Engineering 2416 Mining and Mineral Engineering 2417 Naval Architecture and Marine Engineering 2418 Nuclear Engineering 2419 Petroleum Engineering 2499 Miscellaneous Engineering 2500 Engineering Technologies 2501 Engineering and Industrial Management 2502 Electrical Engineering Technology 2503 Industrial Production Technologies 2504 Mechanical Engineering Related Technologies 2599 Miscellaneous Engineering Technologies 2600 Linguistics and Foreign Languages 2601 Linguistics and Comparative Language and Literature 2602 French, German, Latin and Other Common Foreign Language Studies 2603 Other Foreign Languages 2901 Family and Consumer Sciences 3200 Law 3201 Court Reporting 3202 Pre-Law and Legal Studies 3300 English Language, Literature, and Composition 3301 English Language and Literature 3302 Composition and Speech 3400 Liberal Arts and Humanities 3401 Liberal Arts 3402 Humanities 3501 Library Science 3600 Biology 3601 Biochemical Sciences 3602 Botany 3603 Molecular Biology 3604 Ecology 3605 Genetics 3606 Microbiology 3607 Pharmacology 3608 Physiology 3609 Zoology 3611 Neuroscience 3699 Miscellaneous Biology 3700 Mathematics 3701 Applied Mathematics 3702 Statistics and Decision Science 3801 Military Technologies 4000 Interdisciplinary and Multi-Disciplinary Studies (General) 4001 Intercultural and International Studies 4002 Nutrition Sciences 4003 Neuroscience 4005 Mathematics and Computer Science 4006 Cognitive Science and Biopsychology 4007 Interdisciplinary Social Sciences 4008 Multi-disciplinary or General Science 4101 Physical Fitness, Parks, Recreation, and Leisure 4801 Philosophy and Religious Studies 4901 Theology and Religious Vocations 5000 Physical Sciences 5001 Astronomy and Astrophysics 5002 Atmospheric Sciences and Meteorology 5003 Chemistry 5004 Geology and Earth Science 5005 Geosciences 5006 Oceanography 5007 Physics 5008 Materials Science 5098 Multi-disciplinary or General Science 5102 Nuclear, Industrial Radiology, and Biological Technologies 5200 Psychology 5201 Educational Psychology 5202 Clinical Psychology 5203 Counseling Psychology 5205 Industrial and Organizational Psychology 5206 Social Psychology 5299 Miscellaneous Psychology 5301 Criminal Justice and Fire Protection 5400 Public Affairs, Policy, and Social Work 5401 Public Administration 5402 Public Policy 5403 Human Services and Community Organization 5404 Social Work 5500 General Social Sciences 5501 Economics 5502 Anthropology and Archeology 5503 Criminology 5504 Geography 5505 International Relations 5506 Political Science and Government 5507 Sociology 5599 Miscellaneous Social Sciences 5601 Construction Services 5701 Electrical and Mechanic Repairs and Technologies 5801 Precision Production and Industrial Arts 5901 Transportation Sciences and Technologies 6000 Fine Arts 6001 Drama and Theater Arts 6002 Music 6003 Visual and Performing Arts 6004 Commercial Art and Graphic Design 6005 Film, Video and Photographic Arts 6006 Art History and Criticism 6007 Studio Arts 6099 Miscellaneous Fine Arts 6100 General Medical and Health Services 6102 Communication Disorders Sciences and Services 6103 Health and Medical Administrative Services 6104 Medical Assisting Services 6105 Medical Technologies Technicians 6106 Health and Medical Preparatory Programs 6107 Nursing 6108 Pharmacy, Pharmaceutical Sciences, and Administration 6109 Treatment Therapy Professions 6110 Community and Public Health 6199 Miscellaneous Health Medical Professions 6200 General Business 6201 Accounting 6202 Actuarial Science 6203 Business Management and Administration 6204 Operations, Logistics and E-Commerce 6205 Business Economics 6206 Marketing and Marketing Research 6207 Finance 6209 Human Resources and Personnel Management 6210 International Business 6211 Hospitality Management 6212 Management Information Systems and Statistics 6299 Miscellaneous Business and Medical Administration 6402 History 6403 United States History Education Variables -- PERSON Second field of degree Puerto Rico 2010: Persons with bachelor's degree or higher [discrepancies: type I none; type II 15.2%] This variable reports the second field in which the person received a Bachelor's degree, if the person holds a Bachelor's degree in a second field. 1100 General Agriculture 1105 Plant Science and Agronomy 1199 Miscellaneous Agriculture 1901 Communications 1903 Mass Media 1904 Advertising and Public Relations 2001 Communication Technologies 2100 Computer and Information Systems 2300 General Education 2301 Educational Administration and Supervision 2303 School Student Counseling 2304 Elementary Education 2305 Mathematics Teacher Education 2306 Physical and Health Education Teaching 2307 Early Childhood Education 2309 Secondary Teacher Education 2310 Special Needs Education 2311 Social Science or History Teacher Education 2313 Language and Drama Education 2399 Miscellaneous Education 2400 General Engineering 2408 Electrical Engineering 2412 Industrial and Manufacturing Engineering 2501 Engineering and Industrial Management 2599 Miscellaneous Engineering Technologies 2603 Other Foreign Languages 2901 Family and Consumer Sciences 3301 English Language and Literature 3401 Liberal Arts 3402 Humanities 3600 Biology 3606 Microbiology 3608 Physiology 3699 Miscellaneous Biology 3700 Mathematics 3702 Statistics and Decision Science 4002 Nutrition Sciences 4101 Physical Fitness, Parks, Recreation, and Leisure 4801 Philosophy and Religious Studies 4901 Theology and Religious Vocations 5003 Chemistry 5098 Multi-disciplinary or General Science 5200 Psychology 5301 Criminal Justice and Fire Protection 5401 Public Administration 5403 Human Services and Community Organization 5404 Social Work 5500 General Social Sciences 5501 Economics 5502 Anthropology and Archeology 5507 Sociology 5901 Transportation Sciences and Technologies 6000 Fine Arts 6002 Music 6003 Visual and Performing Arts 6102 Communication Disorders Sciences and Services 6105 Medical Technologies Technicians 6106 Health and Medical Preparatory Programs 6199 Miscellaneous Health Medical Professions 6200 General Business 6201 Accounting 6203 Business Management and Administration 6206 Marketing and Marketing Research 6207 Finance 6209 Human Resources and Personnel Management 6210 International Business 6212 Management Information Systems and Statistics 6299 Miscellaneous Business and Medical Administration 6402 History 9998 Unknown 9999 NIU (not in universe) Education Variables -- PERSON Data quality flag for DEGFIELD and DEGFIELD2 Puerto Rico 2010: All persons This variable is a data quality flag for DEGFIELD and DEGFIELD2 (field of degree). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Data quality flag for WRKLSTWK Puerto Rico 2010: All persons This variable is a data quality flag for WRKLSTWK (worked last week). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Subfamily number (original Census Bureau classification) Puerto Rico 2010: All persons This variable indicates the person's subfamily number (original Census Bureau classification). 0 Group quarters or not in subfamily 1 1st subfamily in household 2 2nd subfamily in household 3 3rd Technical Person Variables -- PERSON Subfamily type (original Census Bureau classification) Puerto Rico 2010: All persons This variable indicates the person's subfamily type (original Census Bureau classification). 0 Group quarters or not in subfamily 1 Married-couple related subfamily with children 2 Married-couple related subfamily without children 3 Father-child related subfamily 4 Mother-child related subfamily Technical Person Variables -- PERSON Subfamily relationship (original Census Bureau classification) Puerto Rico 2010: All persons This variable indicates the subfamily relationship (original Census Bureau classification). 0 Group quarters or not in subfamily 1 Reference person 2 Spouse (married-couple subfamily only) 3 Child Technical Person Variables -- PERSON Sample-line weight Puerto Rico 2010: All persons This variable indicates the sample-line weight. This is a 10-digit numeric variable with 2 implied decimal places Technical Person Variables -- PERSON Person weight Puerto Rico 2010: All persons This variable indicates the person weight. This is a 10-digit numeric variable with 2 implied decimal places Technical Person Variables -- PERSON Year of birth Puerto Rico 2010: All persons This variable indicates the person's year of birth. 1917 1917 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 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 1988 1988 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 Demographic Variables -- PERSON Poverty status (original Census Bureau calculation) Puerto Rico 2010: Persons in private households [discrepancies: type I 0.2%; type II 0.2%] This variable indicates the person's poverty status (original Census Bureau calculation). This is a 3-digit numeric variable with 0 implied decimal places Income Variables -- PERSON Occupation Puerto Rico 2010: Persons age 16+ who worked within the last five years and persons seeking work who last worked more than 5 years ago [discrepancies: not verifiable] This variable indicates the person's occupation. 0000 NIU (not in universe) 0010 Chief executives and legislators 0020 General and Operations Managers 0040 Advertising and Promotions Managers 0050 Marketing and Sales Managers 0100 Administrative Services Managers 0110 Computer and Information Systems Managers 0120 Financial Managers 0135 Compensation and Benefits Managers 0136 Human Resources Managers 0137 Training and Development Managers 0140 Industrial Production Managers 0150 Purchasing Managers 0160 Transportation, Storage, and Distribution Managers 0205 Farmers, Ranchers, and Other Agricultural Managers 0220 Constructions Managers 0230 Education Administrators 0300 Architectural and Engineering Managers 0310 Food Service Managers 0330 Gaming Managers 0340 Lodging Managers 0350 Medical and Health Services Managers 0360 Natural Science Managers 0410 Property, Real Estate, and Community Association Managers 0420 Social and Community Service Managers 0425 Emergency Management Directors 0430 Miscellaneous Managers, Including Funeral Service Managers and Postmasters and Mail Superintendents 0500 Agents and Business Managers of Artists, Performers, and Athletes 0510 Buyers and Purchasing Agents, Farm Products 0520 Wholesale and Retail Buyers, Except Farm Products 0530 Purchasing Agents, Except Wholesale, Retail, and Farm Products 0540 Claims Adjusters, Appraisers, Examiners, and Investigators 0565 Compliance Officers 0600 Cost Estimators 0630 Human Resources Workers 0640 Compensation, Benefits, and Job Analysis Specialists 0650 Training and Development Specialists 0700 Logisticians 0710 Management Analysts 0725 Meeting, Convention, and Event Planners 0735 Market Research Analysts and Marketing Specialists 0740 Business Operations Specialists, All Other 0800 Accountants and Auditors 0810 Appraisers and Assessors of Real Estate 0820 Budget Analysts 0830 Credit Analysts 0840 Financial Analysts 0850 Personal Financial Advisors 0860 Insurance Underwriters 0910 Credit Counselors and Loan Officers 0930 Tax Examiners and Collectors, and Revenue Agents 0940 Tax Preparers 0950 Financial Specialists, All Other 1005 Computer and Information Research Scientists 1006 Computer Scientists and Systems Analysts 1010 Computer Programmers 1020 Software Developers, Applications and Systems Software 1030 Web Developers 1050 Computer Support Specialists 1060 Database Administrators 1105 Network and Computer Systems Administrators 1107 Computer Occupations, All Other 1200 Actuaries 1220 Operations Research Analysts 1240 Miscellaneous mathematical science occupations, including mathematicians and statisticians 1300 Architects, Except Naval 1310 Surveyors, Cartographers, and Photogrammetrists 1320 Aerospace Engineers 1350 Chemical Engineers 1360 Civil Engineers 1410 Electrical and Electronics Engineers 1420 Environmental Engineers 1430 Industrial Engineers, including Health and Safety 1450 Materials Engineers 1460 Mechanical Engineers 1530 Miscellaneous engineeers including nuclear engineers 1540 Drafters 1550 Engineering Technicians, Except Drafters 1560 Surveying and Mapping Technicians 1600 Agricultural and Food Scientists 1610 Biological Scientists 1640 Conservation Scientists and Foresters 1650 Medical Scientists, and Life Scientists, All Other 1720 Chemists and Materials Scientists 1740 Environmental Scientists and Geoscientists 1760 Physical Scientists, All Other 1800 Economists 1820 Psychologists 1860 Miscellaneous Social Scientists, Including Survey Researchers and Sociologists 1900 Agricultural and Food Science Technicians 1910 Biological Technicians 1920 Chemical Technicians 1930 Geological and Petroleum Technicians, and Nuclear Technicians 1965 Miscellaneous Life, Physical, and Social Science Technicians, Including Social Science Research Assistants 2000 Counselors 2010 Social Workers 2015 Probation Officers and Correctional Treatment Specialists 2016 Social and Human Service Assistants 2025 Miscellaneous Community and Social Service Specialists, Including Health Educators and Community Health Workers 2040 Clergy 2050 Directors, Religious Activities and Education 2060 Religious Workers, All Other 2100 Lawyers, and judges, magistrates, and other judicial workers 2145 Paralegals and Legal Assistants 2160 Miscellaneous Legal Support Workers 2200 Postsecondary Teachers 2300 Preschool and Kindergarten Teachers 2310 Elementary and Middle School Teachers 2320 Secondary School Teachers 2330 Special Education Teachers 2340 Other Teachers and Instructors 2400 Archivists, Curators, and Museum Technicians 2430 Librarians 2540 Teacher Assistants 2550 Other Education, Training, and Library Workers 2600 Artists and Related Workers 2630 Designers 2700 Actors 2710 Producers and Directors 2720 Athletes, Coaches, Umpires, and Related Workers 2740 Dancers and Choreographers 2750 Musicians, Singers, and Related Workers 2760 Entertainers and Performers, Sports and Related Workers, All Other 2800 Announcers 2810 News Analysts, Reporters and Correspondents 2825 Public Relations Specialists 2830 Editors 2840 Technical Writers 2850 Writers and Authors 2860 Miscellaneous Media and Communication Workers 2900 Broadcast and Sound Engineering Technicians and Radio Operators, and media and communication equipment workers, all other 2910 Photographers 2920 Television, Video, and Motion Picture Camera Operators and Editors 3000 Chiropractors 3010 Dentists 3030 Dieticians and Nutritionists 3040 Optometrists 3050 Pharmacists 3060 Physicians and Surgeons 3110 Physician Assistants 3140 Audiologists 3150 Occupational Therapists 3160 Physical Therapists 3210 Recreational Therapists 3220 Respiratory Therapists 3230 SpeechLanguage Pathologists 3245 Other Therapists, Including Exercise Physiologists 3250 Veterinarians 3255 Registered Nurses 3256 Nurse Anesthetists 3258 Nurse Practitioners and Nurse Midwives 3300 Clinical Laboratory Technologists and Technicians 3320 Diagnostic Related Technologists and Technicians 3400 Emergency Medical Technicians and Paramedics 3420 Health Practitioner Support Technologists and Technicians 3500 Licensed Practical and Licensed Vocational Nurses 3510 Medical Records and Health Information Technicians 3520 Opticians, Dispensing 3535 Miscellaneous Health Technologists and Technicians 3540 Other Healthcare Practitioners and Technical Occupations 3600 Nursing, Psychiatric, and Home Health Aides 3610 Occupational Therapy Assistants and Aides 3620 Physical Therapist Assistants and Aides 3630 Massage Therapists 3640 Dental Assistants 3645 Medical Assistants 3646 Medical Transcriptionists 3647 Pharmacy Aides 3648 Veterinary Assistants and Laboratory Animal Caretakers 3649 Phlebotmists 3655 Healthcare Support Workers, All Other, Including Medical Equipment Preparers 3700 First-Line Supervisors of Correctional Officers 3710 First-Line Supervisors of Police and Detectives 3720 First-Line Supervisors of Fire Fighting and Prevention Workers 3730 First-Line Supervisors of Protective Service Workers, All Other 3740 Firefighters 3750 Fire Inspectors 3800 Bailiffs, Correctional Officers, and Jailers 3820 Detectives and Criminal Investigators 3850 Police Officers 3910 Private Detectives and Investigators 3930 Security Guards and Gaming Surveillance Officers 3940 Crossing Guards 3945 Transportation Security Screeners 3955 Lifeguards and Other Recreational, and All Other Protective Service Workers 4000 Chefs and Head Cooks 4010 First-Line Supervisors of Food Preparation and Serving Workers 4020 Cooks 4030 Food Preparation Workers 4040 Bartenders 4050 Combined Food Preparation and Serving Workers, Including Fast Food 4060 Counter Attendant, Cafeteria, Food Concession, and Coffee Shop 4110 Waiters and Waitresses 4120 Food Servers, Nonrestaurant 4130 Miscellaneous food preparation and serving related workers including dining room and cafeteria attendants and bartender helpers 4140 Dishwashers 4150 Host and Hostesses, Restaurant, Lounge, and Coffee Shop 4200 First-Line Supervisors of Housekeeping and Janitorial Workers 4210 First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers 4220 Janitors and Building Cleaners 4230 Maids and Housekeeping Cleaners 4240 Pest Control Workers 4250 Grounds Maintenance Workers 4300 First-Line Supervisors of Gaming Workers 4320 First-Line Supervisors of Personal Service Workers 4350 Nonfarm Animal Caretakers 4400 Gaming Services Workers 4410 Motion Picture Projectionists 4420 Ushers, Lobby Attendants, and Ticket Takers 4430 Miscellaneous Entertainment Attendants and Related Workers 4460 Embalmers and Funeral Attendants 4465 Morticians, Undertakers, and Funeral Directors 4500 Barbers 4510 Hairdressers, Hairstylists, and Cosmetologists 4520 Miscellaneous Personal Appearance Workers 4530 Baggage Porters, Bellhops, and Concierges 4540 Tour and Travel Guides 4600 Childcare Workers 4610 Personal Care Aides 4620 Recreation and Fitness Workers 4640 Residential Advisors 4650 Personal Care and Service Workers, All Other 4700 First-Line Supervisors of Retail Sales Workers 4710 First-Line Supervisors of Non-Retail Sales 4720 Cashiers 4740 Counter and Rental Clerks 4750 Parts Salespersons 4760 Retail Salespersons 4800 Advertising Sales Agents 4810 Insurance Sales Agents 4820 Securities, Commodities, and Financial Services Sales Agents 4830 Travel Agents 4840 Sales Representatives, Services, All Other 4850 Sales Representatives, Wholesale and Manufacturing 4900 Models, Demonstrators, and Product Promoters 4920 Real Estate Brokers and Sales Agents 4940 Telemarketers 4950 Door-to-Door Sales Workers, News and Street Vendors, and Related Workers 4965 Sales and Related Workers, All Other 5000 First-Line Supervisors of Office and Administrative Support Workers 5020 Telephone Operators 5030 Communications Equipment Operators, All Other 5100 Bill and Account Collectors 5110 Billing and Posting Clerks 5120 Bookkeeping, Accounting, and Auditing Clerks 5130 Gaming Cage Workers 5140 Payroll and Timekeeping Clerks 5150 Procurement Clerks 5160 Tellers 5165 Financial Clerks, All Other 5200 Brokerage Clerks 5220 Court, Municipal, and License Clerks 5230 Credit Authorizers, Checkers, and Clerks 5240 Customer Service Representatives 5250 Eligibility Interviewers, Government Programs 5260 File Clerks 5300 Hotel, Motel, and Resort Desk Clerks 5310 Interviewers, Except Eligibility and Loan 5320 Library Assistants, Clerical 5330 Loan Interviewers and Clerks 5340 New Account Clerks 5350 Correspondent clerks and order clerks 5360 Human Resources Assistants, Except Payroll and Timekeeping 5400 Receptionists and Information Clerks 5410 Reservation and Transportation Ticket Agents and Travel Clerks 5420 Information and Record Clerks, All Other 5500 Cargo and Freight Agents 5510 Couriers and Messengers 5520 Dispatchers 5530 Meter Readers, Utilities 5540 Postal Service Clerks 5550 Postal Service Mail Carriers 5560 Postal Service Mail Sorters, Processors, and Processing Machine Operators 5600 Production, Planning, and Expediting Clerks 5610 Shipping, Receiving, and Traffic Clerks 5620 Stock Clerks and Order Fillers 5630 Weighers, Measurers, Checkers, and Samplers, Recordkeeping 5700 Secretaries and Administrative Assistants 5800 Computer Operators 5810 Data Entry Keyers 5820 Word Processors and Typists 5840 Insurance Claims and Policy Processing Clerks 5850 Mail Clerks and Mail Machine Operators, Except Postal Service 5860 Office Clerks, General 5900 Office Machine Operators, Except Computer 5920 Statistical Assistants 5940 Miscellaneous office and administrative support workers including desktop publishers 6005 First-Line Supervisors of farming, fishing, and forestry workers 6010 Agricultural Inspectors 6040 Graders and Sorters, Agricultural Products 6050 Miscellaneous agricultural workers including animal breeders 6100 Fishing and hunting workers 6120 Forest and Conservation Workers 6130 Logging Workers 6200 First-Line Supervisors of Construction Trades and Extraction Workers 6220 Brickmasons, Blockmasons, and Stonemasons 6230 Carpenters 6240 Carpet, Floor, and Tile Installers and Finishers 6250 Cement Masons, Concrete Finishers, and Terrazzo Workers 6260 Construction Laborers 6300 Paving, Surfacing, and Tamping Equipment Operators 6320 Construction equipment operators except paving, surfacing, and tamping equipment operators 6330 Drywall Installers, Ceiling Tile Installers, and Tapers 6355 Electricians 6360 Glaziers 6400 Insulation Workers 6420 Painters, Construction and Maintenance 6440 Pipelayers, Plumbers, Pipefitters, and Steamfitters 6460 Plasterers and Stucco Masons 6500 Reinforcing Iron and Rebar Workers 6515 Roofers 6520 Sheet Metal Workers 6530 Structural Iron and Steel Workers 6600 Helpers, Construction Trades 6660 Construction and Building Inspectors 6700 Elevator Installers and Repairers 6710 Fence Erectors 6720 Hazardous Materials Removal Workers 6730 Highway Maintenance Workers 6765 Miscellaneous construction workers including solar Photovaltaic Installers, and septic tank servicers and sewer pipe cleaners 6830 Explosives Workers, Ordnance Handling Experts, and Blasters 6940 Miscellaneous extraction workers including roof bolters and helpers 7000 First-Line Supervisors of Mechanics, Installers, and Repairers 7010 Computer, Automated Teller, and Office Machine Repairers 7020 Radio and Telecommunications Equipment Installers and Repairers 7040 Electric Motor, Power Tool, and Related Repairers 7100 Electrical and electronics repairers, transportation equipment, and industrial and utility 7110 Electronic Equipment Installers and Repairers, Motor Vehicles 7120 Electronic Home Entertainment Equipment Installers and Repairers 7130 Security and Fire Alarm Systems Installers 7140 Aircraft Mechanics and Service Technicians 7150 Automotive Body and Related Repairers 7200 Automotive Service Technicians and Mechanics 7210 Bus and Truck Mechanics and Diesel Engine Specialists 7220 Heavy Vehicle and Mobile Equipment Service Technicians and Mechanics 7240 Small Engine Mechanics 7260 Miscellaneous Vehicle and Mobile Equipment Mechanics, Installers, and Repairers 7300 Control and Valve Installers and Repairers 7315 Heating, Air Conditioning, and Refrigeration Mechanics and Installers 7320 Home Appliance Repairers 7330 Industrial and Refractory Machinery Mechanic 7340 Maintenance and Repair Workers, General 7350 Maintenance Workers, Machinery 7410 Electrical Power-Line Installers and Repairers 7420 Telecommunications Line Installers and Repairers 7430 Precision Instrument and Equipment Repairers 7510 Coin, Vending, and Amusement Machine Servicers and Repairers 7610 Helpers--Installation, Maintenance, and Repair Workers 7630 Other Installation, Maintenance, and Repair Workers Including Wind Turbine Service Technicians, and Commercial Divers, and Signal and Track Wwitch Repairers 7700 First-Line Supervisors of Production and Operating Workers 7720 Electrical, Electronics, and Electromechanical Assemblers 7750 Miscellaneous Assemblers and Fabricators 7800 Bakers 7810 Butchers and Other Meat, Poultry, and Fish Processing Workers 7830 Food and Tobacco Roasting, Baking, and Drying Machine Operators and Tenders 7840 Food Batchmakers 7850 Food Cooking Machine Operators and Tenders 7855 Food Processing Workers, All Other 7900 Computer Control Programmers and Operators 7950 Cutting, Punching, and Press Machine Setters, Operators, and Tenders, Metal and Plastic 8030 Machinists 8100 Molders and Molding Machine Setters, Operators, and Tenders, Metal and Plastic 8130 Tool and Die Makers 8140 Welding, Soldering, and Brazing Workers 8200 Plating and Coating Machine Setters, Operators, and Tenders, Metal and Plastic 8220 Miscellaneous metal workers and plastic workers including milling and planing machine setters, and multiple machine tool setters, and lay-out workers 8255 Printing Machine Operators 8256 Print Binding and Finishing Workers 8300 Laundry and Dry-Cleaning Workers 8310 Pressers, Textile, Garment, and Related Materials 8320 Sewing Machine Operators 8330 Shoe and Leather Workers and Repairers 8340 Shoe Machine Operators and Tenders 8350 Tailors, Dressmakers, and Sewers 8450 Upholsterers 8460 Miscellaneous textile, apparel, and furnishings workers except upholsterers 8500 Cabinetmakers and Bench Carpenters 8510 Furniture Finishers 8530 Sawing Machine Setters, Operators, and Tenders, Wood 8540 Woodworking Machine Setters, Operators, and Tenders, Except Sawing 8600 Power Plant Operators, Distributors, and Dispatchers 8610 Stationary Engineers and Boiler Operators 8620 Water and Wastewater Treatment Plant and System Operators 8630 Miscellaneous Plant and System Operators 8640 Chemical Processing Machine Setters, Operators, and Tenders 8650 Crushing, Grinding, Polishing, Mixing, and Blending Workers 8710 Cutting Workers 8720 Extruding, Forming, Pressing, and Compacting Machine Setters, Operators, and Tenders 8740 Inspectors, Testers, Sorters, Samplers, and Weighers 8750 Jewelers and Precious Stone and Metal Workers 8760 Medical, Dental, and Ophthalmic Laboratory Technicians 8800 Packaging and Filling Machine Operators and Tenders 8810 Painting Workers 8850 Adhesive Bonding Machine Operators and Tenders 8860 Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders 8910 Etchers and Engravers 8920 Molders, Shapers, and Casters, Except Metal and Plastic 8950 Helpers--Production Workers 8965 Other production workers including semiconductor processors and cooling and freezing equipment operators 9000 Supervisors ofTransportation and Material Moving Workers 9030 Aircraft Pilots and Flight Engineers 9040 Air Traffic Controllers and Airfield Operations Specialists 9050 Flight Attendants 9120 Bus Drivers 9130 Driver/Sales Workers and Truck Drivers 9140 Taxi Drivers and Chauffeurs 9150 Motor Vehicle Operators, All Other 9200 Locomotive Engineers and Operators 9260 Subway, Streetcar, and Other Rail Transportation Workers 9300 Sailors and marine oilers, and ship engineers 9310 Ship and Boat Captains and Operators 9350 Parking Lot Attendants 9360 Automotive and Watercraft Service Attendants 9410 Transportation Inspectors 9415 Transportation Attendants, Except Flight Attendants 9420 Miscellaneous transportation workers including bridge and lock tenders and traffic technicians 9510 Crane and Tower Operators 9520 Dredge, Excavating, and Loading Machine Operators 9600 Industrial Truck and Tractor Operators 9610 Cleaners of Vehicles and Equipment 9620 Laborers and Freight, Stock, and Material Movers, Hand 9630 Machine Feeders and Offbearers 9640 Packers and Packagers, Hand 9650 Pumping Station Operators 9720 Refuse and Recyclable Material Collectors 9750 Miscellaneous material moving workers including shuttle car operators, and tank car, truck, and ship loaders 9800 Military Officer Special and Tactical Operations Leaders 9810 First-Line Enlisted Military Supervisors 9820 Military Enlisted Tactical Operations and Air/Weapons Specialists and Crew Members 9830 Military, Rank Not Specified 9920 Unemployed, with No Work Experience in the Last 5 Years or Earlier or Never Worked Work: Occupation Variables -- PERSON Flag for Diffcare Puerto Rico 2010: All persons This variable is a data quality flag for DIFFCARE (self-care difficulty). 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Usual hours worked per week [Questions 39 - 40 were asked of all persons.]</p> <p><span class="em">40. How many hours did this person usually work each week?</span><div class="i1">During the past 12 months (52 weeks), in the weeks worked<br /><br />Usual hours worked each week: _ _ _</div> <span class="em">Answer person questions 19 through 48 if this person is 15 years old or over.</span></p> <p>40. If the hours worked each week varied considerably in the past 12 months, give an approximate average of the hours worked each week. Puerto Rico 2010: Persons age 16+ who worked last year [discrepancies: none] This variable indicates the number of hours the person usually worked per week. 00 NIU (not in universe) 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 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 63 63 64 64 65 65 66 66 67 67 68 68 70 70 72 72 75 75 76 76 77 77 78 78 80 80 82 82 84 84 85 85 86 86 89 89 90 90 96 96 98 98 99 99 Work Variables -- PERSON Poverty status Puerto Rico 2010: Persons in private households [discrepancies: type I 0.2%; type II 0.1%] This variable indicates each family's total income last year as a percentage of the poverty thresholds established by the Social Security Administration. 998 Unknown 999 NIU (not in universe) Income Variables -- PERSON Time of departure for work Puerto Rico 2010: Persons age 16+ who traveled to work [discrepancies: none] This variable reports the time that the respondent usually left home for work last week. Time is measured using a 24-hour clock, where 12:01 a.m. is coded as 0001 and 11:59 p.m. is coded as 2359. 0000 NIU (not in universe) 0015 15 0045 45 0115 115 0145 145 0215 215 0245 245 0305 305 0315 315 0325 325 0335 335 0345 345 0355 355 0405 405 0415 415 0425 425 0435 435 0445 445 0455 455 0502 502 0512 512 0517 517 0522 522 0527 527 0532 532 0537 537 0542 542 0547 547 0552 552 0557 557 0602 602 0607 607 0612 612 0617 617 0622 622 0627 627 0632 632 0637 637 0642 642 0647 647 0652 652 0657 657 0702 702 0707 707 0712 712 0717 717 0722 722 0727 727 0732 732 0737 737 0742 742 0747 747 0752 752 0757 757 0802 802 0812 812 0817 817 0822 822 0832 832 0842 842 0847 847 0852 852 0857 857 0902 902 0917 917 0927 927 0932 932 0942 942 0947 947 0952 952 1005 1005 1015 1015 1025 1025 1035 1035 1045 1045 1055 1055 1105 1105 1115 1115 1125 1125 1135 1135 1145 1145 1155 1155 1205 1205 1215 1215 1225 1225 1235 1235 1245 1245 1305 1305 1315 1315 1325 1325 1335 1335 1345 1345 1355 1355 1405 1405 1415 1415 1435 1435 1445 1445 1455 1455 1505 1505 1515 1515 1535 1535 1545 1545 1555 1555 1605 1605 1615 1615 1625 1625 1635 1635 1645 1645 1655 1655 1705 1705 1725 1725 1735 1735 1745 1745 1755 1755 1805 1805 1815 1815 1835 1835 1845 1845 1915 1915 1945 1945 2015 2015 2045 2045 2105 2105 2115 2115 2125 2125 2135 2135 2145 2145 2155 2155 2205 2205 2215 2215 2235 2235 2245 2245 2255 2255 2315 2315 2345 2345 Work Variables -- PERSON Flag for Marrinyr Puerto Rico 2010: All persons This variable is a data quality flag for MARRINYR (married within the past year). 0 Entered as written 4 Allocated Person Imputation Flags Variables -- PERSON