2000 Census of Population and Housing DDI_PRI_2000_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. 2000 Census of Population and Housing - IPUMS Subset PHC pr2000a (IPUMS Harmonized Subset) PRI_2000_PHC_v01_M_v7.6_A_IPUMS U.S. Census Bureau IPUMS (c) Copyright 2000, 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 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 Technical Person Variables -- PERSON Technical Household Variables -- HOUSEHOLD Geography: O-Z Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Household Imputation Flags Variables -- HOUSEHOLD Constructed Family Interrelationship Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Demographic Variables -- PERSON Ethnicity and Language Variables -- PERSON Nativity and Birthplace Variables -- PERSON Education Variables -- PERSON Work Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON Income Variables -- PERSON Migration: Global Variables -- PERSON Disability Variables -- PERSON Other Person Variables -- PERSON Person Imputation Flags Variables -- PERSON Person Imputation Flags Variables -- PERSON Other Person Variables -- PERSON Ethnicity and Language Variables -- PERSON Education Variables -- PERSON Work Variables -- PERSON Income Variables -- PERSON Disability Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON Nativity and Birthplace Variables -- PERSON April 1, 2000 Puerto Rico PUMAS (Public Use Microdata Areas (PUMAs) containing 100,000 or more residents 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: No threshold was applied; in order for a household to be considered group quarters in 2000, it had to be on the list of group quarters that is continuously maintained by the Census Bureau. Residents of Puerto Rico Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Puerto Rico 2000 MICRODATA SOURCE: U.S. Census Bureau SAMPLE SIZE (person records): 189828. SAMPLE DESIGN: 1-in-20 national random sample of the population drawn by the U.S. Census Bureau Face-to-face [f2f] The 2000 census used a long form questionnaire. Long Form Sampling Entities (LFSEs) were used to determine sampling rates. If the smallest LFSE that included all or any part of a block had an estimated housing unit count of less than 800, the housing units in the block were sampled at a 1-in-2 rate. If it had an estimated housing unit count of 800 or more but less than 1,200, units were sampled at a 1-in-4 rate. If a block was not in either of the two previous categories, and was part of an interim census tract with 2,000 or more estimated housing units, units were sampled at a 1-in-8 rate. Housing units in all remaining blocks were sampled at a 1-in-6 rate. When all sampling rates were taken into account across the nation, approximately 1 out of every 6 housing units was included in the Census 2000 sample. de jure, CENSUS DAY: April 1, 2000 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. 2000 Census of Population and Housing The licensing agreement for use of IPUMS International data requires that users supply IPUMS International with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation. Copies of such materials are also gratefully received at ipums@umn.edu. Printed matter should be sent to: IPUMS International Minnesota Population Center University of Minnesota 50 Willey Hall 225 19th Avenue South Minneapolis, MN 55455 An adapted version of the dataset, harmonized for international comparability, is available from IPUMS International (https://international.ipums.org/international/) under the following conditions: IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. User-provided description: DOI:10.18128/D020.V7.6 Extract for pr2000a, 2025 PRI2000_PHC-H-H.dat Household records 73,259 ascii Minnesota Population Center Version 7.5, IPUMS sample PRI2000_PHC-P-H.dat Person records 189828 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 2000 [Level 1, GIS] GEO1_PR2000 identifies the household's Public Use Microdata Area (PUMA) in Puerto Rico in 2000. PUMAs are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_PR2000 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 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 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 2000: All households This variable indicates the dwelling number. This is a 5-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Number of persons in household Puerto Rico 2000: All households This variable indicates the number of persons in household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 Technical Household Variables -- HOUSEHOLD Subsample number Puerto Rico 2000: All households This variable allocates each household to one of 100 subsample replicates, randomly numbered from 0 to 99. 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 <svar v="PR00A022 PR00A023 PR00A025 PR00A026 PR00A027 PR00A121" a="all"><span class="em">2. Refer to the address label on this page. If that address is NOT the MAILING address of this residence, print the mailing address below.</span><br /><div class="i1">House number _ _ _ _ _ _ _ _ _<br />Development/condominium name ____________<br />Street or road name, rural route and box, or PO box ________<br />Apartment number _ _ _ _ _ _ _ _ _ _ _ _ _ _ _<br />City ________<br />State ZIP Code _ _ _ _ _ - _ _ _ _</div><br /></svar> Puerto Rico 2000: All households This variable indicates how many households in the U.S. population are represented by a given household in the IPUMS. This is a 3-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Metropolitan status <svar v="PR00A022 PR00A023 PR00A025 PR00A026 PR00A027 PR00A121" a="all"><span class="em">2. Refer to the address label on this page. If that address is NOT the MAILING address of this residence, print the mailing address below.</span><br /><div class="i1">House number _ _ _ _ _ _ _ _ _<br />Development/condominium name ____________<br />Street or road name, rural route and box, or PO box ________<br />Apartment number _ _ _ _ _ _ _ _ _ _ _ _ _ _ _<br />City ________<br />State ZIP Code _ _ _ _ _ - _ _ _ _</div><br /></svar> Puerto Rico 2000: All households This variable indicates if the household location corresponds to a metropolitan area. 0 Not identifiable 1 Not in metro area 2 Central city 3 Outside central city 4 Central city status unknown Geography: O-Z Variables -- HOUSEHOLD Metropolitan area <svar v="PR00A022 PR00A023 PR00A025 PR00A026 PR00A027 PR00A121" a="all"><span class="em">2. Refer to the address label on this page. If that address is NOT the MAILING address of this residence, print the mailing address below.</span><br /><div class="i1">House number _ _ _ _ _ _ _ _ _<br />Development/condominium name ____________<br />Street or road name, rural route and box, or PO box ________<br />Apartment number _ _ _ _ _ _ _ _ _ _ _ _ _ _ _<br />City ________<br />State ZIP Code _ _ _ _ _ - _ _ _ _</div><br /></svar> Puerto Rico 2000: All households This variable indicates the metropolitan area where the household was enumerated, if that metropolitan area was large enough to meet confidentiality requirements. 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 2000: All households This variable indicates group quarters status, whether it is a household or group quarters. 0 Vacant unit 1 Households 2 Additional households under 1990 definition 3 Institutions 4 Other group quarters 5 Large households sampled as group quarters Group Quarters Variables -- HOUSEHOLD Group quarters type Puerto Rico 2000: All households This variable indicates the type of group quarters, whether it is institutional or non-institutional. 000 Non-group quarters households 100 Institution 500 Non-institutional group quarters 600 Military 700 College dormitory Group Quarters Variables -- HOUSEHOLD Farm status Puerto Rico 2000: All households This variable indicates farm households. 1 Non-Farm 2 Farm Household Economic Variables -- HOUSEHOLD Sales of farm products <svar v="PR00A031 PR00A037 PR00A038"><span class="em">44. Answer only if this is a one-family house or mobile home -all others skip to 45.</span><br /></svar></p> <p><svar v="PR00A031" a="all"><span class="em">44.c. In 1999, what were the actual sales of all agricultural products from this property?</span> <br /><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><br /></svar> Puerto Rico 2000: Private households living in lots larger than 1 acre [discrepancies: none] This variable indicates the previous year's gross sales of farm produce in contemporary dollars. 1 0 2 $1 - $999 3 $1,000 - $2,499 4 $2,500 - $4,999 5 $5,000 - $9,999 6 $10,000 or more 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Ownership of dwelling <svar v="PR00A032 PR00A120" a="all"><span class="em">33. Is this house, apartment, or mobile home </span>-<br /><div class="i1">[] Owned by you or someone in this household with a mortgage or loan?<br />[] Owned by you or someone in this household free and clear (without a mortgage or loan)?<br />[] Rented for cash rent?<br />[] Occupied without payment of cash rent?</div><br /></svar> Puerto Rico 2000: Occupied private households [discrepancies: none] This variable indicates ownership of dwelling. 12 Owned free and clear 13 Owned with mortgage or loan 21 No cash rent 22 With cash rent 99 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Mortgage status <svar v="PR00A033 PR00A035 PR00A039 PR00A034 PR00A040 PR00A041 PR00A036 PR00A045 PR00A047 PR00A103"><span class="em">47. Answer questions 47a-53 if you or someone in this household owns or is buying this house, apartment, or mobile home; otherwise, skip to questions for Person 2.</span><br /></svar></p> <p><svar v="PR00A033" a="all"><span class="em">47.a. Do you have a mortgage, deed of trust, contract to purchase, or similar debt on this property?</span><br /><div class="i1">[] Yes, mortgage, deed of trust, or similar debt<br />[] Yes, contract to purchase<br />[] No -- Skip to 48a</div><br /></svar> Puerto Rico 2000: Households that own dwelling [discrepancies: none] This variable indicates whether an owner-occupied dwelling was owned free and clear or was encumbered by a mortgage or other type of debt. 1 No, owned free and clear 3 Yes, mortgaged/ deed of trust or similar debt 4 Yes, contract to purchase 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Second mortgage status <svar v="PR00A033 PR00A035 PR00A039 PR00A034 PR00A040 PR00A041 PR00A036 PR00A045 PR00A047 PR00A103"><span class="em">47. Answer questions 47a-53 if you or someone in this household owns or is buying this house, apartment, or mobile home; otherwise, skip to questions for Person 2.</span><br /></svar></p> <p><svar v="PR00A034" a="all"><span class="em">48.a. Do you have a second mortgage or a home equity loan on this property? </span>Mark [X] all boxes that apply.<br /><div class="i1">[] Yes, a second mortgage<br />[] Yes, a home equity loan<br />[] No -- Skip to 49</div><br /></svar> Puerto Rico 2000: Households that own dwelling and have first 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. 1 No 3 Yes, 2nd mortgage 4 Yes, home equity loan 5 Yes, 2nd mortgage and home equity loan 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD First mortgage monthly payment <svar v="PR00A033 PR00A035 PR00A039 PR00A034 PR00A040 PR00A041 PR00A036 PR00A045 PR00A047 PR00A103"><span class="em">47. Answer questions 47a-53 if you or someone in this household owns or is buying this house, apartment, or mobile home; otherwise, skip to questions for Person 2.</span><br /></svar></p> <p><svar v="PR00A035" a="all"><span class="em">47.b. How much is your regular monthly mortgage payment on this property? </span>Include payment only on first mortgage or contract to purchase.<br /><div class="i1">Monthly amount - Dollars<br />$_ _, _ _ _ .00</div><br />Or<br /><div class="i1">[] No regular payment required -- Skip to 48a</div><br /></svar> Puerto Rico 2000: Households that own dwelling and have first mortgage [discrepancies: none] This variable indicates first mortgage monthly payment. This is a 4-digit numeric variable. Codes0 = NIU (not in universe). 3800 = Top code. Household Economic Variables -- HOUSEHOLD House value <svar v="PR00A033 PR00A035 PR00A039 PR00A034 PR00A040 PR00A041 PR00A036 PR00A045 PR00A047 PR00A103"><span class="em">47. Answer questions 47a-53 if you or someone in this household owns or is buying this house, apartment, or mobile home; otherwise, skip to questions for Person 2.</span><br /></svar></p> <p><svar v="PR00A036" a="all"><span class="em">51. What is the value of this property; that is, how much do you think this house and lot, apartment, or mobile home and lot would sell for if it were for sale?</span><br /><div class="i1">[] Less than $10,000<br />[] $10,000 to $14,999<br />[] $15,000 to $19,999<br />[] $20,000 to $24,999<br />[] $25,000 to $29,999<br />[] $30,000 to $34,999<br />[] $35,000 to $39,999<br />[] $40,000 to $49,999<br />[] $50,000 to $59,999<br />[] $60,000 to $69,999<br />[] $70,000 to $79,999<br />[] $80,000 to $89,999<br />[] $90,000 to $99,999<br />[] $100,000 to $124,999<br />[] $125,000 to $149,999<br />[] $150,000 to $174,999<br />[] $175,000 to $199,999<br />[] $200,000 to $249,999<br />[] $250,000 to $299,999<br />[] $300,000 to $399,999<br />[] $400,000 to $499,999<br />[] $500,000 to $749,999<br />[] $750,000 to $999,999<br />[] $1,000,000 or more</div><br /></svar> Puerto Rico 2000: Owner-occupied or vacant-for-sale housing units; not group quarters [discrepancies: not verifiable] This variable indicates the value of owner-occupied or vacant-for-sale housing units in contemporary dollars. 005000 Less than $10,000 012500 $10,000-14,999 017500 $15,000-19,999 022500 $20,000-24,999 027500 $25,000-29,999 032500 $30,000-34,999 037500 $35,000-39,999 045000 $40,000-49,999 055000 $50,000-59,999 065000 $60,000-69,999 075000 $70,000-79,999 085000 $80,000-89,999 095000 $90,000-99,999 112500 $100,000-124,999 137500 $125,000-149,999 162500 $150,000-174,999 187500 $175,000-199,999 225000 $200,000-249,999 275000 $250,000-299,999 350000 $300,000-399,999 450000 $400,000-499,999 625000 $500,000-749,999 875000 $750,000-999,999 999998 $1,000,000+ 999999 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Commercial use <svar v="PR00A031 PR00A037 PR00A038"><span class="em">44. Answer only if this is a one-family house or mobile home -all others skip to 45.</span><br /></svar></p> <p><svar v="PR00A037" a="all"><span class="em">44.a. Is there a business (such as a store or barber shop) or a medical office on this property?</span><br /><div class="i1">[] Yes<br />[] No</div><br /></svar> Puerto Rico 2000: Single-family houses or mobile homes; not group quarters [discrepancies: none] This variable indicates whether a dwelling has a business (such as a store/barber shop) or medical/dental office on the property. 1 No commerical use 2 Yes, used commercially 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Acreage of property <svar v="PR00A031 PR00A037 PR00A038"><span class="em">44. Answer only if this is a one-family house or mobile home -all others skip to 45.</span><br /></svar></p> <p><svar v="PR00A038" a="all"><span class="em">44.b. How many acres is this house or mobile home on?</span><br /><div class="i1">[] Less than 1 acre -- Skip to 45<br />[] 1 to 9.9 acres<br />[] 10 or more acres</div><br /></svar> Puerto Rico 2000: Single-family houses or mobile homes; not group quarters [discrepancies: none] This variable indicates acreage of property. 2 City or suburban lots (any size) and rural lots on less than 1 acre 7 1-9 cuerdas 8 10+ cuerdas 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Mortgage payment includes property taxes <svar v="PR00A033 PR00A035 PR00A039 PR00A034 PR00A040 PR00A041 PR00A036 PR00A045 PR00A047 PR00A103"><span class="em">47. Answer questions 47a-53 if you or someone in this household owns or is buying this house, apartment, or mobile home; otherwise, skip to questions for Person 2.</span><br /></svar></p> <p><svar v="PR00A039" a="all"><span class="em">47.c. Does your regular monthly mortgage payment include payments for real estate taxes on this property?</span><br /><div class="i1">[] Yes, taxes included in mortgage payment<br />[] No, taxes paid separately or taxes not required</div><br /></svar> Puerto Rico 2000: Households that pay mortgage [discrepancies: none] This variable indicates whether or not the household's monthly mortgage payment includes property taxes. 0 NIU (not in universe) 1 No 2 Yes Household Economic Variables -- HOUSEHOLD Annual property insurance cost <svar v="PR00A033 PR00A035 PR00A039 PR00A034 PR00A040 PR00A041 PR00A036 PR00A045 PR00A047 PR00A103"><span class="em">47. Answer questions 47a-53 if you or someone in this household owns or is buying this house, apartment, or mobile home; otherwise, skip to questions for Person 2.</span><br /></svar></p> <p><svar v="PR00A040" a="all"><span class="em">50. What was the annual payment for fire, hazard, and flood insurance on this property?</span><br /><div class="i1">Monthly amount - Dollars<br />$_ _, _ _ _ .00</div><br />Or<br /><div class="i1">[] None</div><br /></svar> Puerto Rico 2000: Housholds that own dwelling [discrepancies: none] This variable indicates the annual property insurance cost. This is a 4-digit numeric variable. Codes0 = NIU (not in universe). 1 = None. 3100 = Top code. Household Economic Variables -- HOUSEHOLD Annual property taxes <svar v="PR00A033 PR00A035 PR00A039 PR00A034 PR00A040 PR00A041 PR00A036 PR00A045 PR00A047 PR00A103"><span class="em">47. Answer questions 47a-53 if you or someone in this household owns or is buying this house, apartment, or mobile home; otherwise, skip to questions for Person 2.</span><br /></svar></p> <p><svar v="PR00A041" a="all"><span class="em">49. What were the real estate taxes on this property last year?</span><br /><div class="i1">Monthly amount - Dollars<br />$_ _, _ _ _ .00</div><br />Or<br /><div class="i1">[] None</div><br /></svar> Puerto Rico 2000: Households that own dwelling [discrepancies: none] This variable indicates the total annual real estate tax costs for the previous year. This is a 2-digit numeric variable. Codes0 = NIU (not in universe). 1 = None. 68 = $9,100+. Household Economic Variables -- HOUSEHOLD Monthly contract rent <svar v="PR00A042 PR00A044"><span class="em">46. Answer only if you pay rent for this house, apartment, or mobile home - All others skip to 47a.</span><br /></svar></p> <p><svar v="PR00A042" a="all"><span class="em">46.a. What is the monthly rent?</span><br /><div class="i1">Monthly amount - Dollars<br />$_ _, _ _ _ .00</div><br /></svar> Puerto Rico 2000: Renter-occupied or vacant-to-rent units rented for cash; not group quarters [discrepancies: none] This variable indicates monthly contract rent. This is a 4-digit numeric variable. Codes0 = NIU (not in universe). 2400 = Top code. Household Economic Variables -- HOUSEHOLD Monthly gross rent Puerto Rico 2000: Private households that rent for cash [discrepancies: none] This variable indicates monthly gross rent. This is a 4-digit numeric variable. Codes0 = NIU (not in universe). Household Economic Variables -- HOUSEHOLD Meals included in rent <svar v="PR00A042 PR00A044"><span class="em">46. Answer only if you pay rent for this house, apartment, or mobile home - All others skip to 47a.</span><br /></svar></p> <p><svar v="PR00A044" a="all"><span class="em">46.b. Does the monthly rent include any meals?</span><br /><div class="i1">[] Yes<br />[] No</div><br /></svar> Puerto Rico 2000: Renter-occupied or vacant-to-rent units that rented for cash [discrepancies: none] This variable indicates whether meals are included in rent. 1 No, meals not included 2 Yes 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Monthly condominium fee <svar v="PR00A033 PR00A035 PR00A039 PR00A034 PR00A040 PR00A041 PR00A036 PR00A045 PR00A047 PR00A103"><span class="em">47. Answer questions 47a-53 if you or someone in this household owns or is buying this house, apartment, or mobile home; otherwise, skip to questions for Person 2.</span><br /></svar></p> <p><svar v="PR00A045 PR00A046" a="all"><span class="em">52. Answer only if this is a condominium - What is the monthly condominium fee?</span><br /><div class="i1">Monthly amount - Dollars<br />$_ _, _ _ _ .00</div><br /></svar> Puerto Rico 2000: Household that own condominium [discrepancies: none] This variable indicates the monthly condominium fee. This is a 4-digit numeric variable. Codes0 = NIU (not in universe). 1100 = Top code. Household Economic Variables -- HOUSEHOLD Condominium status <svar v="PR00A045 PR00A046" a="all"><span class="em">52. Answer only if this is a condominium - What is the monthly condominium fee?</span><br /><div class="i1">Monthly amount - Dollars<br />$_ _, _ _ _ .00</div><br /></svar> Puerto Rico 2000: Households that own dwelling [discrepancies: none] This variable indicates whether a household lives in a condominium-housing units whose occupants share with other households the ownership and use of certain common areas and facilities. 1 Not a condominium unit 2 Condominium unit 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Annual mobile home costs including loan payments <svar v="PR00A033 PR00A035 PR00A039 PR00A034 PR00A040 PR00A041 PR00A036 PR00A045 PR00A047 PR00A103"><span class="em">47. Answer questions 47a-53 if you or someone in this household owns or is buying this house, apartment, or mobile home; otherwise, skip to questions for Person 2.</span><br /></svar></p> <p><svar v="PR00A103 PR00A047"><span class="em">53. Answer only if this is a mobile home -</span><br /></svar></p> <p><svar v="PR00A047" a="all"><span class="em">53.b. What was the total cost for installment loan payments, personal property taxes, site rent, registration fees, and license fees on this mobile home and its site last year?<br />Exclude real estate taxes.</span><br /><div class="i1">Yearly amount - Dollars<br />$_ _, _ _ _ .00</div><br /></svar> Puerto Rico 2000: Mobile home households [discrepancies: type I trace; type II .3%] This variable indicates annual mobile home costs including loan payments. This is a 4-digit numeric variable. Codes0 = NIU (not in universe). 1 = Unknown. Household Economic Variables -- HOUSEHOLD Annual electricity cost <svar v="PR00A048 PR00A049 PR00A050 PR00A051"><span class="em">45. What are the annual costs of utilities and fuels for this house, apartment, or mobile home? </span>If you have lived here less than 1 year, estimate the annual cost.<br /></svar></p> <p><svar v="PR00A048" a="all"><span class="em">45.a. Electricity</span><br /><div class="i1">Annual cost - Dollars</div><br /><div class="i2">$_, _ _ _ .00</div><br />Or<br /><div class="i1">[] Included in rent or in condominium fee<br />[] No charge or electricity not used</div><br /></svar> Puerto Rico 2000: Private occupied households [discrepancies: none] This variable indicates annual electricity cost. This is a 4-digit numeric variable. Codes0 = NIU (not in universe). 5700 = Top code. 9993 = No charge or none used. 9997 = Included in rent. Household Economic Variables -- HOUSEHOLD Annual gas cost <svar v="PR00A048 PR00A049 PR00A050 PR00A051"><span class="em">45. What are the annual costs of utilities and fuels for this house, apartment, or mobile home? </span>If you have lived here less than 1 year, estimate the annual cost.<br /></svar></p> <p><svar v="PR00A049" a="all"><span class="em">45.b. Gas</span><br /><div class="i1">Annual cost - Dollars</div><br /><div class="i2">$_, _ _ _ .00</div><br />Or<br /><div class="i1">[] Included in rent or in condominium fee<br />[] No charge or gas not used</div><br /></svar> Puerto Rico 2000: Private occupied households [discrepancies: none] This variable indicates annual gas cost. This is a 4-digit numeric variable. Codes0 = NIU (not in universe). 4900 = Top code. 9993 = No charge or none used. 9997 = Included in rent. Household Economic Variables -- HOUSEHOLD Annual water cost <svar v="PR00A048 PR00A049 PR00A050 PR00A051"><span class="em">45. What are the annual costs of utilities and fuels for this house, apartment, or mobile home? </span>If you have lived here less than 1 year, estimate the annual cost.<br /></svar></p> <p><svar v="PR00A050" a="all"><span class="em">45.c. Water and sewer</span><br /><div class="i1">Annual cost - Dollars</div><br /><div class="i2">$_, _ _ _ .00</div><br />Or<br /><div class="i1">[] Included in rent or in condominium fee<br />[] No charge</div><br /></svar> Puerto Rico 2000: Private occupied households [discrepancies: none] This variable indicates annual water cost. This is a 4-digit numeric variable. Codes0 = NIU (not in universe). 2900 = Top code. 9993 = No charge or none used. 9997 = Included in rent. Household Economic Variables -- HOUSEHOLD Annual home heating fuel cost <svar v="PR00A048 PR00A049 PR00A050 PR00A051"><span class="em">45. What are the annual costs of utilities and fuels for this house, apartment, or mobile home? </span>If you have lived here less than 1 year, estimate the annual cost.<br /></svar></p> <p><svar v="PR00A051" a="all"><span class="em">45.d. Oil, coal, kerosene, wood, etc.</span><br /><div class="i1">Annual cost - Dollars</div><br /><div class="i2">$_, _ _ _ .00</div><br />Or<br /><div class="i1">[] Included in rent or in condominium fee<br />[] No charge or these fuels not used</div><br /></svar> Puerto Rico 2000: Private occupied households [discrepancies: none] This variable indicates annual home heating fuel cost. This is a 4-digit numeric variable. Codes0 = NIU (not in universe). 3500 = Top code. 9993 = No charge or none used. 9997 = Included in rent. Household Economic Variables -- HOUSEHOLD Total family income <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A052 PR00A452" a="all"><span class="em">32. What was this person's total income in 1999? </span>Add entries in questions 31 a-31 h; subtract any losses. If net income was a loss, enter the amount and mark [X] the "Loss" box next to the dollar amount.<br /><div class="i1">[] None OR<br />Annual amount - Dollars</div><br /><div class="i2">$_ _ _, _ _ _ .00<br />[] Loss</div><br /></svar> Puerto Rico 2000: Private occupied households [discrepancies: type I none; type II trace] This variable indicates the total money income of all household members age 15+ that are related to the head, during the previous year. This is a 6-digit numeric variable. Codes999999 = NIU (not in universe). Household Economic Variables -- HOUSEHOLD Vacancy status Puerto Rico 2000: Vacant units [discrepancies: none] This variable indicates if a dwelling was vacant and reports the reason for the vacancy. 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 Other Household Variables -- HOUSEHOLD Total household income Puerto Rico 2000: Private occupied households [discrepancies: none] This variable indicates the total money income of all household members age 15+, during the previous year. This is a 6-digit numeric variable. Codes999999 = NIU (not in universe). Household Economic Variables -- HOUSEHOLD Kitchen or cooking facilities <svar v="PR00A055" a="all"><span class="em">40. Do you have complete kitchen facilities in this house, apartment, or mobile home; that is, 1) a sink with piped water, 2) a range or stove, and 3) a refrigerator?</span><br /><div class="i1">[] Yes, have all three facilities<br />[] No</div><br /></svar> Puerto Rico 2000: Private households [discrepancies: none] This variable indicates whether or not the dwelling contained kitchen or cooking facilities. 1 No 4 Yes (shared or exclusive use) 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of rooms <svar v="PR00A056" a="all"><span class="em">37. How many rooms do you have in this house, apartment, or mobile home? </span>Do not count bathrooms, porches, balconies, foyers, halls, or half-rooms.<br /><div class="i1">[] 1 room<br />[] 2 rooms<br />[] 3 rooms<br />[] 4 rooms<br />[] 5 rooms<br />[] 6 rooms<br />[] 7 rooms<br />[] 8 rooms<br />[] 9 or more rooms</div><br /></svar> Puerto Rico 2000: Private households [discrepancies: none] This variable indicates the number of whole rooms used for living purposes that are contained in the dwelling. 0 NIU (not in universe) 1 1 room 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 or more Dwelling Characteristics Variables -- HOUSEHOLD Plumbing facilities <svar v="PR00A057" a="all"><span class="em">39. Do you have complete plumbing facilities in this house, apartment, or mobile home; that is, 1) hot and cold piped water, 2) a flush toilet, and 3) a bathtub or shower?</span><br /><div class="i1">[] Yes, have all three facilities<br />[] No</div><br /></svar> Puerto Rico 2000: Private households [discrepancies: none] This variable indicates whether or not the dwelling contained hot and cold piped water, a flush toilet, and a bathtub or shower. 10 Without complete plumbing 20 With complete plumbing 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Age of structure <svar v="PR00A058" a="all"><span class="em">35. About when was this building first built? </span><br /><div class="i1">[] 1999 or 2000<br />[] 1995 to 1998<br />[] 1990 to 1994<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><br /></svar> Puerto Rico 2000: Private households [discrepancies: none] This variable indicates the age of the structure. 0 NIU (not in universe) 1 0-1 year old 2 2-5 years 3 6-10 years 4 11-20 years 5 21-30 years 6 31-40 years 7 41-50 years 8 51-60 years 9 61+ years Dwelling Characteristics Variables -- HOUSEHOLD Units in structure <svar v="PR00A059" a="all"><span class="em">34. Which best describes this building? </span><br />Include all apartments, flats, etc., even if vacant.<br /><div class="i1">[] 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 to 49 apartments<br />[] A building with 50 or more apartments<br />[] Boat, RV, van, etc.</div><br /></svar> Puerto Rico 2000: Private households, not commercial units [discrepancies: none] This variable indicates the number of dwellings (both occupied and vacant) in the structure containing the household. 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 Number of bedrooms <svar v="PR00A060" a="all"><span class="em">38. How many bedrooms do you have; that is, how many bedrooms would you list if this house, apartment, or mobile home were on the market for sale or rent?</span><br /><div class="i1">[] No bedrooms<br />[] 1 bedroom<br />[] 2 bedrooms<br />[] 3 bedrooms<br />[] 4 bedrooms<br />[] 5 or more bedrooms</div><br /></svar> Puerto Rico 2000: Private households [discrepancies: none] This variable indicates the number of bedrooms within the dwelling. 0 No bedrooms 1 1 2 2 3 3 4 4 5 5+ 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Telephone availability <svar v="PR00A061" a="all"><span class="em">41. Is there telephone service available in this house, apartment, or mobile home from which you can both make and receive calls?</span><br /><div class="i1">[] Yes<br />[] No</div><br /></svar> Puerto Rico 2000: Private occupied households [discrepancies: none] This variable indicates the telephone availability. 1 No, no phone available 2 Yes, phone available 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Second mortgage monthly payment <svar v="PR00A062" a="all"><span class="em">48.b. How much is your regular monthly payment on all second or junior mortgages and all home equity loans on this property?</span><br />[For households with a second mortgage]<br /><div class="i1">Monthly amount - Dollars<br />$_ _, _ _ _ .00</div><br />Or<br /><div class="i1">[] No regular payment required</div><br /></svar> Puerto Rico 2000: Households with a second mortgage [discrepancies: none] This variable indicates the second mortgage monthly payment, if any. 0000 NIU (not in universe) 0001 1 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 0870 870 0880 880 0890 890 0900 900 0910 910 0930 930 0940 940 0950 950 0970 970 0980 980 1000 1000 1100 1100 1900 1900 Household Economic Variables -- HOUSEHOLD Linguistic isolation <svar v="PR00A063 PR00A429" a="all"><span class="em">11.a. Does this person speak a language other than English at home?</span><br /><div class="i1">[] Yes<br />[] No -- Skip to 12</div><br /><span class="em">11.b. What is this language?</span><br /><div class="i1">____</div><br />(For example: Korean, Italian, Spanish, Vietnamese)<br /></svar></p> <p><svar v="PR00A063 PR00A430" a="PR00A430"><span class="em">11.c. How well does this person speak English? </span><br /><div class="i1">[] Very well<br />[] Well<br />[] Not well<br />[] Not at all</div><br /></svar> Puerto Rico 2000: Private occupied households [discrepancies: none] This variable indicates linguistically isolated 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". 1 Not linguistically isolated 2 Linguistically isolated 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Home heating fuel <svar v="PR00A064" a="all"><span class="em">42. Which fuel is used most for heating this house, apartment, or mobile home?</span><br />[Non-vacant households that are owned or rented]<br /><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><br /></svar> Puerto Rico 2000: Private occupied households [discrepancies: none] This variable indicates the fuel most used for heating the dwelling. 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 <svar v="PR00A065" a="all"><span class="em">43. How many automobiles, vans, and trucks of one-ton capacity or less are kept at home for use by members of your household?</span><br />[Non-vacant households owned or rented]<br /><div class="i1">[] None<br />[] 1<br />[] 2<br />[] 3<br />[] 4<br />[] 5<br />[] 6 or more</div><br /></svar> Puerto Rico 2000: Private occupied households [discrepancies: none] This variable indicates the number of vehicles available for the household. 1 1 available 2 2 3 3 4 4 5 5 6 6+ 0 No vehicles available 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of families in household Puerto Rico 2000: Private occupied households [discrepancies: type I 3.2%, type II none] This variable indicates the number of families in household. 00 NIU (not in universe) 01 1 family 02 2 families 03 3 04 4 05 5 06 6 07 7 09 9 12 12 Constructed Household Variables -- HOUSEHOLD Number of married couples in household Puerto Rico 2000: Private occupied households [dicrepancies: type I 13.9%, type II none] This variable indicates the number of married couples in household. 0 0 couples 1 1 2 2 3 3 9 NIU (not in universe) Constructed Household Variables -- HOUSEHOLD Number of mothers in household Puerto Rico 2000: Private occupied households [dicrepancies: type I 13.9%, type II none] This variable indicates the number of women who are identified as residing with their children in the household. 0 0 mothers 1 1 2 2 3 3 4 4 9 NIU (not in universe) Constructed Household Variables -- HOUSEHOLD Number of fathers in household Puerto Rico 2000: Private occupied households [dicrepancies: type I 13.9%, type II none] This variable indicates the number of men who are identified as residing with their children in the household. 0 0 fathers 1 1 2 2 3 3 9 NIU (not in universe) Constructed Household Variables -- HOUSEHOLD Flag for acrehous Puerto Rico 2000: All households This variable is a data quality flag for ACREHOUS (acreage of house). 0 Not allocated or N/A 4 Allocated, hot deck Household Imputation Flags Variables -- HOUSEHOLD Flag for acreprop, farm Puerto Rico 2000: All households This variable is a data quality flag for ACREPROP, FARM (acreage of property and farm status). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for moblhome, moblhom2 Puerto Rico 2000: All households This variable is a data quality flag for MOBLHOME, MOBLHOM2 (annual mobile home costs and annual mobile home costs including loan payments). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for mortamt1 Puerto Rico 2000: All households This variable is a data quality flag for MOTAMT1 (first mortgage monthly payment). 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for insrincl Puerto Rico 2000: All households This variable indicates a flag for insrincl. 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for mortamt2 Puerto Rico 2000: All households This variable indicates a flag for mortamt2. 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for bedrooms Puerto Rico 2000: All households This variable indicates a flag for bedrooms. 0 Not allocated 4 Allocated, hot deck Household Imputation Flags Variables -- HOUSEHOLD Flag for builtyr Puerto Rico 2000: All households This variable indicates a flag for builtyr. 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for commuse Puerto Rico 2000: All households This variable indicates a flag for commuse. 0 Not allocated 4 Allocated, hot deck Household Imputation Flags Variables -- HOUSEHOLD Flag for condo Puerto Rico 2000: All households This variable indicates a flag for condo. 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for mortgag2 Puerto Rico 2000: All households This variable indicates a flag for mortgag2. 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for costelec Puerto Rico 2000: All households This variable indicates a flag for costelec. 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for mortgage Puerto Rico 2000: All households This variable indicates a flag for mortgage. 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for costfuel Puerto Rico 2000: All households This variable indicates a flag for costfuel. 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for costgas Puerto Rico 2000: All households This variable indicates a flag for costgas. 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for propinsr Puerto Rico 2000: All households This variable indicates a flag for propinsr. 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for costwatr Puerto Rico 2000: All households This variable indicates a flag for costwatr. 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for proptx99 Puerto Rico 2000: All households This variable indicates a flag for proptx99. 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for farmprod, farm Puerto Rico 2000: All households This variable indicates a flag for farmprod, farm. 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for rentmeal Puerto Rico 2000: All households This variable indicates a flag for rentmeal. 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for fuelheat Puerto Rico 2000: All households This variable indicates a flag for fuelheat. 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for plumbing Puerto Rico 2000: All households This variable indicates a flag for plumbing. 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for kitchen Puerto Rico 2000: All households This variable indicates a flag for kitchen. 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for ownershp Puerto Rico 2000: All households This variable indicates a flag for ownershp. 0 Original entry or Inapplicable (not in universe) 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for phone Puerto Rico 2000: All households This variable indicates a flag for phone. 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for rent, rent30 Puerto Rico 2000: All households This variable indicates a flag for rent, rent30. 0 Original entry or Inapplicable (not in universe) 4 Allocated (method not specified) Household Imputation Flags Variables -- HOUSEHOLD Flag for rooms Puerto Rico 2000: All households This variable indicates a flag for rooms. 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for substituted household Puerto Rico 2000: All households This variable indicates a flag for substituted household. 0 Not allocated, substituted 6 Allocated, Substituted Household Imputation Flags Variables -- HOUSEHOLD Flag for unitsstr Puerto Rico 2000: All households This variable indicates a flag for unitsstr. 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for vacancy Puerto Rico 2000: All households This variable indicates a flag for vacancy. 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for valueh Puerto Rico 2000: All households This variable indicates a flag for valueh. 0 Original entry or Inapplicable (not in universe) 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for condofee Puerto Rico 2000: All households This variable indicates a flag for condofee. 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for taxincl Puerto Rico 2000: All households This variable indicates a flag for taxincl. 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Mobile home loan <svar v="PR00A033 PR00A035 PR00A039 PR00A034 PR00A040 PR00A041 PR00A036 PR00A045 PR00A047 PR00A103"><span class="em">47. Answer questions 47a-53 if you or someone in this household owns or is buying this house, apartment, or mobile home; otherwise, skip to questions for Person 2.</span><br /></svar></p> <p><svar v="PR00A103 PR00A047"><span class="em">53. Answer only if this is a mobile home -</span><br /></svar></p> <p><svar v="PR00A103" a="all"><span class="em">53.a. Do you have an installment loan or contract on this mobile home?</span><br /><div class="i1">[] Yes<br />[] No</div><br /></svar> Puerto Rico 2000: Mobile home households, owned or being bought, excluding group quarters and vacant units [discrepancies: none] This variable indicates whether the mobile home has an installment loan or contract. 0 NIU (not in universe) 1 No 2 Yes Household Economic Variables -- HOUSEHOLD PUMA land area Puerto Rico 2000: All households This variable indicates the Public Use Microdata Area (PUMA) land area in square meters. This is a 14-digit numeric variable with 0 implied decimal places Geography: O-Z Variables -- HOUSEHOLD PUMA total area Puerto Rico 2000: All households This variable indicates the Public Use Microdata Area (PUMA) total area in square meters. This is a 14-digit numeric variable with 0 implied decimal places Geography: O-Z Variables -- HOUSEHOLD PUMA type, 2000 Puerto Rico 2000: All households This variable indicates the types of places included in a household's Public Use Microdata Area (PUMA). 14 Contains an entire MSA and no other territory 23 Both inside and outside central city 51 Inside central city 52 Outside central city 53 Both inside and outside central city 70 Contains both metropolitan and non-metropolitan territory 80 Contains only metropolitan territory in 2 or more partial and/or entire MSAs/PMSAs/CMSAs 90 Contains only nonmetropolitan territory Geography: O-Z Variables -- HOUSEHOLD Flag for household augmentation Puerto Rico 2000: All households This variable indicates a flag for household augmentation. 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Flag for Mobloan Puerto Rico 2000: All households This variable indicates a flag for Mobloan. 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Super Public Use Microdata Area Puerto Rico 2000: All households This variable indicates the Super Public Use Microdata Area. 72100 72100 72200 72200 72300 72300 72400 72400 72500 72500 72600 72600 72700 72700 72800 72800 Geography: O-Z Variables -- HOUSEHOLD Household type Puerto Rico 2000: Private occupied households [discrepancies: none] This variable indicates the household type. 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 8 Unknown 9 NIU (not in universe) Constructed Household Variables -- HOUSEHOLD Data quality flag for VEHICLE Puerto Rico 2000: All households This variable indicates the data quality flag for vehicle. 0 Not allocated 4 Allocated Household Imputation Flags Variables -- HOUSEHOLD Person number PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database. PERNUM is a 4-digit numeric variable. Technical Person Variables -- PERSON Person weight PERWT indicates the number of persons in the actual population represented by the person in the sample. For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population. NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Person Variables -- PERSON Mother's location in household MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers. The method by which probable child-mother links are identified is described in PARRULE. The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of MOMLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships. To restrict MOMLOC to biological mothers, such as for own children fertility estimation, MOMLOC should be reset to zero when STEPMOM is greater than zero. MOMLOC is a 3-digit numeric variable. Codes0 = No mother of this person present in the household. 1 or higher = The person number of this person's mother Constructed Family Interrelationship Variables -- PERSON Father's location in household POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers. The method by which probable child-father links are identified is described in PARRULE. The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of POPLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships. To restrict POPLOC to biological mothers, such as for own children fertility estimation, POPLOC should be reset to zero when STEPPOP is greater than zero. POPLOC is a 3-digit numeric variable. Codes0 = No father of this person present in the household. 1 or higher = The person number of this person's father Constructed Family Interrelationship Variables -- PERSON Spouse's location in household SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses. The method by which probable spouse-spouse links are identified is described in SPRULE. The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. For more details on the construction of SPLOC, see the Comparability section of SPRULE and this paper on IPUMSI family linking methodology. SPLOC is a 3-digit numeric variable. Codes0 = No spouse of this person present in the household. 1 or higher = The person number of this person's spouse Constructed Family Interrelationship Variables -- PERSON Rule for linking parent PARRULE describes the criteria by which the IPUMS International variables MOMLOC and POPLOC linked the person to a probable mother and/or father. IPUMS International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. 00 No parent of person in household 11 Link to head or spouse, unambiguous 12 Link to head or spouse, ambiguous 21 Child-Grandchild, within empirical child cap 22 Child-Grandchild, within constructed child cap 23 Child-Grandchild, exceeds child cap 31 Specified Other Relatives, within empirical child cap 32 Specified Other Relatives, within constructed child cap 33 Specified Other Relatives, exceeds child cap 41 Other Relatives, within empirical child cap 42 Other Relatives, within constructed child cap 51 Non-Relatives, within empirical child cap 52 Non-Relatives, within constructed child cap Constructed Family Interrelationship Variables -- PERSON Rule for linking spouse SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse. IPUMS International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. 00 No spouse present 01 Rule 1: strong relationship pairing, couple adjacent 02 Rule 2: strong relationship pairing, couple not adjacent 03 Rule 3: weak relationship pairing, couple adjacent 04 Rule 4: weak relationship pairing, couple not adjacent 05 Rule 5: weak consensual union pairings 06 Rule 6: sample-specific rules (usually child-to-child) Constructed Family Interrelationship Variables -- PERSON Probable stepmother STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household. The codes for STEPMOM are as follows: 0 = Biological mother or no mother of this person present in household. 1 = Mother has no children born or surviving. 2 = Child reports mother is deceased. 3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law). 4 = Mother reports no children in the home. 5 = Age difference between mother and child was less than 12 or greater than 54 years. 6 = Child exceeds known fertility of mother. In cases where more than one criterion for a likely stepmother is met, STEPMOM will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. In cases where a mother is linked to more children than she reports in CHBORN or CHSURV, the determination of which children to flag as probable stepchildren is based first on the strength of the child-mother pairing (see PARRULE), and then on the order of children in the household roster. Since most links to a given mother will be made at the same strength level, order will often be the decisive factor in flagging probable stepmother relationships. Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population. 0 Biological mother or no mother present 1 Mother has no children born or surviving 2 Child reports mother is deceased 3 Explicitly identified step relationship 4 Mother reports no children in the home 5 Age difference implausible 6 Child exceeds known fertility of mother Constructed Family Interrelationship Variables -- PERSON Probable stepfather STEPPOP indicates whether a person's father, as identified by POPLOC, was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household. The codes for STEPPOP are as follows: 0 = Biological father or no father of this person present in household. 1 = Child reports father is deceased. 2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law). 3 = Age difference between father and child was less than 12 or greater than 54 years. In cases where more than one criterion for a likely stepfather is met, STEPPOP will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population. 0 Biological father or no father present 1 Child reports father is deceased 2 Explicitly identified step relationship 3 Age difference implausible 4 Spouse of mother 5 Identified as adopted 6 Surname difference -- male child or never-married female Constructed Family Interrelationship Variables -- PERSON Man with more than one wife linked POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. 0 No more than one wife linked via SPLOC 1 More than one wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Woman is second or higher order wife POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated. The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. 0 Person is not the 2nd or higher order wife linked via SPLOC 1 Person is the 2nd or higher order wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Family unit membership FAMUNIT is a constructed variable indicating to which family within the household a person belongs. All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). FAMUNIT is a 4-digit numeric variable. CodesIf there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on. Constructed Family Interrelationship Variables -- PERSON Number of own family members in household FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them. FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membership). The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). 0001 1 family member present 0002 2 family members present 0003 3 family members present 0004 4 0005 5 0006 6 0007 7 0008 8 0009 9 0010 10 0011 11 0012 12 0013 13 0014 14 0015 15 0016 16 0017 17 0018 18 0019 19 0020 20 0021 21 0022 22 0023 23 0024 24 0025 25 0026 26 0027 27 0028 28 0029 29 0030 30 0031 31 0032 32 0033 33 0034 34 0035 35 0036 36 0037 37 0038 38 0039 39 0040 40 0041 41 0042 42 0043 43 0044 44 0045 45 0046 46 0047 47 0048 48 0049 49 0050 50 0051 51 0052 52 0053 53 0054 54 0055 55 0056 56 0057 57 0058 58 0059 59 0060 60 0061 61 0062 62 0063 63 0064 64 0065 65 0066 66 0067 67 0068 68 0069 69 0070 70 0071 71 0072 72 0073 73 0074 74 0075 75 0076 76 0077 77 0078 78 0079 79 0080 80 0081 81 0082 82 0083 83 0084 84 0085 85 0086 86 0087 87 0088 88 0089 89 0090 90 0091 91 0092 92 0093 93 0094 94 0095 95 0096 96 0097 97 0098 98 0099 99 or more persons Constructed Family Interrelationship Variables -- PERSON Number of own children in household NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more children in household Constructed Family Interrelationship Variables -- PERSON Number of own children under age 5 in household NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more own children under age 5 in household 98 One or more children have unknown age Constructed Family Interrelationship Variables -- PERSON Age of eldest own child in household ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. ELDCH is top-coded at age 50 or older. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Age of youngest own child in household YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. YNGCH is top-coded at age 50 or older. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Relationship to household head [general version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown Demographic Variables -- PERSON Relationship to household head [detailed version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1000 Head 2000 Spouse/partner 2100 Spouse 2200 Unmarried partner 2210 Civil union 2300 Same-sex spouse/partner 3000 Child 3100 Biological child 3200 Adopted child 3300 Stepchild 3400 Child/child-in-law 3500 Child/child-in-law/grandchild 3600 Child of unmarried partner 4000 Other relative 4100 Grandchild 4110 Grandchild or great grandchild 4120 Great grandchild 4130 Great-great grandchild 4200 Parent/parent-in-law 4210 Parent 4211 Stepparent 4220 Parent-in-law 4300 Child-in-law 4301 Daughter-in-law 4302 Spouse/partner of child 4310 Unmarried partner of child 4400 Sibling/sibling-in-law 4410 Sibling 4420 Stepsibling 4430 Sibling-in-law 4431 Sibling of spouse/partner 4432 Spouse/partner of sibling 4500 Grandparent 4510 Great grandparent 4600 Parent/grandparent/ascendant 4700 Aunt/uncle 4800 Other specified relative 4810 Nephew/niece 4820 Cousin 4830 Sibling's sibling-in-law 4900 Other relative, not elsewhere classified 4910 Other relative with same family name 4920 Other relative with different family name 4930 Other relative, not specified (secondary family) 5000 Non-relative 5100 Friend/guest/visitor/partner 5110 Partner/friend 5111 Friend 5112 Partner/roommate 5113 Housemate/roommate 5120 Visitor 5130 Ex-spouse 5140 Godparent 5150 Godchild 5200 Employee 5210 Domestic employee 5220 Relative of employee, n.s. 5221 Spouse of servant 5222 Child of servant 5223 Other relative of servant 5300 Roomer/boarder/lodger/foster child 5310 Boarder 5311 Boarder or guest 5320 Lodger 5330 Foster child 5340 Tutored/foster child 5350 Tutored child 5400 Employee, boarder, or guest 5500 Other specified non-relative 5510 Agregado 5520 Temporary resident, guest 5600 Group quarters 5610 Group quarters, non-inmates 5620 Institutional inmates 5900 Non-relative, n.e.c. 6000 Other relative or non-relative 9999 Unknown Demographic Variables -- PERSON Age AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. 000 Less than 1 year 001 1 year 002 2 years 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100+ 999 Not reported/missing Demographic Variables -- PERSON Age, grouped into intervals AGE2 gives computed years of age grouped into intervals. 01 0 to 4 02 5 to 9 03 10 to 14 04 15 to 19 05 0 to 5 06 6 to 10 07 10 to 15 08 11 to 14 09 15 to 17 10 16 to 19 11 18 to 24 12 20 to 24 13 25 to 29 14 30 to 34 15 35 to 39 16 40 to 44 17 45 to 49 18 50 to 54 19 55 to 59 20 60 to 64 21 65 to 69 22 70 to 74 23 75 to 79 24 80 to 84 25 85+ 98 Unknown Demographic Variables -- PERSON Sex SEX reports the sex (gender) of the respondent. 1 Male 2 Female 9 Unknown Demographic Variables -- PERSON Marital status [general version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 0 NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing Demographic Variables -- PERSON Marital status [detailed version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 000 NIU (not in universe) 100 Single/never married 110 Engaged 111 Never married and never cohabited 200 Married or consensual union 210 Married, formally 211 Married, civil 212 Married, religious 213 Married, civil and religious 214 Married, civil or religious 215 Married, traditional/customary 216 Married, monogamous 217 Married, polygamous 219 Married, spouse absent (historical samples) 220 Consensual union 300 Separated/divorced/spouse absent 310 Separated or divorced 320 Separated or annulled 330 Separated 331 Separated legally 332 Separated de facto 333 Separated from marriage 334 Separated from consensual union 335 Separated from consensual union or marriage 340 Annulled 350 Divorced 400 Widowed 410 Widowed or divorced 411 Widowed from consensual union or marriage 412 Widowed from marriage 413 Widowed from consensual union 420 Widowed, divorced, or separated 999 Unknown/missing Demographic Variables -- PERSON 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 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 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 5 years ago MIGCTRY5 indicates the country of residence 5 years ago for international migrants. Persons who did not live abroad 5 years earlier are coded to the "non-migrant" category. 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, n.s. 13000 Northern Africa 13010 Algeria 13020 Egypt/United Arab Rep. 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15999 Western Africa, n.s. 19999 Africa, n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21200 St. Croix 21210 St. John 21220 St. Lucia 21230 St. Thomas 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21280 Curacao 21290 Sint Maarten 21999 Caribbean, n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22990 Central America, n.s. 22991 Central America and Caribbean 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23999 South America, n.s. 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 United States 24041 U.S. Outlying Areas and Territories 24999 North or Central America, n.s. 29999 Americas, n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32900 South Asia, not specified 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33900 South-Eastern Asia, not specified 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34060 Iraq 34070 Israel 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34999 Middle East, n.e.c. 39999 Asia, n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41030 Czech Republic 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41999 Eastern Europe, n.e.c. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42110 Sweden 42120 United Kingdom 42199 Scandinavia 42999 Northern Europe, n.e.c. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43999 Southern Europe, n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxembourg 44022 Benelux (Belgium/Netherlands/Luxembourg) 44030 France 44040 Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44999 Western Europe, n.e.c. 49999 Europe, n.s. 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 52999 Melanesia, n.e.c. 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53999 Micronesia, n.e.c. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Samoa 54060 Tokelau 54070 Tonga 54080 Tuvalu 54090 Wallis and Futuna Isls. 54999 Polynesia, n.e.c. 59999 Oceania, n.s. 60000 Other 60010 Other Arab country 90000 Non-migrants (international) 99998 Response suppressed 99999 Unknown Migration: Global Variables -- PERSON 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 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 Work disability DISWORK indicates whether the respondent had any lasting physical or mental health condition, that either limited the amount or type of work they could do or prevented them from working altogether. This did not include temporary health conditions. 0 NIU (not in universe) 1 No disability that affects work 2 Disability causes difficulty or limits work 3 Disability prevents work 4 Unknown Disability Variables -- PERSON Person number (within household) Puerto Rico 2000: All persons This variable indicates the person number (within household). 00 Household record 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 Technical Person Variables -- PERSON Person number in sample unit Puerto Rico 2000: All persons This variable indicates the person number in sample unit. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 Technical Person Variables -- PERSON Person weight Puerto Rico 2000: All persons This variable indicates a person weight. This is a 4-digit numeric variable with 0 implied decimal places Technical Person Variables -- PERSON Mother's location in the household Puerto Rico 2000: All persons This variable indicates the mother's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 Constructed Family Interrelationship Variables -- PERSON Probable step/adopted mother Puerto Rico 2000: 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 2000: All persons This variable indicates the rule for linking 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 2000: All persons This variable indicates the father's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 Constructed Family Interrelationship Variables -- PERSON Probable step/adopted father Puerto Rico 2000: 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 2000: All persons This variable indicates a rule for linking 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 2000: All persons This variable indicates a spouse's location in household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 12 12 Constructed Family Interrelationship Variables -- PERSON Rule for linking spouse Puerto Rico 2000: 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 2000: All persons This variable indicates the number of own family members in household. 01 1 family member present 02 2 family members present 03 3 family members present 04 4 family members present 05 5 family members present 06 6 family members present 07 7 family members present 08 8 family members present 09 9 family members present 10 10 family members present 11 11 family members present 12 12 family members present 13 13 family members present 14 14 family members present 15 15 family members present Constructed Family Interrelationship Variables -- PERSON Number of own children in the household Puerto Rico 2000: All persons This variable indicates the number of own children in the household. 0 0 children present 1 1 child present 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ Constructed Family Interrelationship Variables -- PERSON Number of own children under age 5 in household Puerto Rico 2000: All persons This variable indicates the number of 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 5 5 Constructed Family Interrelationship Variables -- PERSON Family unit membership Puerto Rico 2000: All persons This variable indicates a family unit membership. 01 1st family in household or group quarters 02 2nd family in household or group quarters 03 3rd 04 4th 05 5th 06 6th 07 7th 08 8th 09 9th 10 10th 11 11th 12 12th Constructed Family Interrelationship Variables -- PERSON Age of eldest own child in household Puerto Rico 2000: Persons who have children in household [discrepancies: none] This variable indicates the age of eldest own child in 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 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 99 NIU (not in universe) Constructed Family Interrelationship Variables -- PERSON Age of youngest own child in household Puerto Rico 2000: Persons who have children in household [discrepancies: none] This variable indicates the age of youngest own child in 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 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 99 NIU (not in universe) Constructed Family Interrelationship Variables -- PERSON Number of own siblings in household Puerto Rico 2000: All persons This variable indicates a number of own siblings in household. 0 0 siblings 1 1 sibling 2 2 siblings 3 3 siblings 4 4 siblings 5 5 siblings 6 6 siblings 7 7 siblings 8 8 siblings 9 9 or more siblings Constructed Family Interrelationship Variables -- PERSON Relationship to household head <svar v="PR00A418" a="all"><span class="em">2. How is this person related to person 1?</span> Mark [X] one box.<br /><div class="i1">[] Husband/wife<br />[] Natural-born son/daughter<br />[] Adopted son/daughter<br />[] Stepson/stepdaughter<br />[] Brother/sister<br />[] Father/mother<br />[] Grandchild<br />[] Parent-in-law<br />[] Son-in-law/daughter-in-law<br />[] Other relative -- Print exact relationship</div><br /><div class="i2">____</div><br />If not related to Person 1:<br /><div class="i1">[] Roomer, boarder<br />[] Housemate, roommate<br />[] Unmarried partner<br />[] Foster child<br />[] Other non-relative</div><br /></svar> Puerto Rico 2000: All persons This variable indicates the relationship to 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. 1011 Grandparent 1021 Aunt or uncle 1031 Nephew, niece 1041 Cousin 1114 Unmarried partner 1115 Housemate/roommate 1241 Roomer/boarders/lodgers 1242 Foster children 1260 Other non-relatives 1270 Non-inmate (includes military, students, employees, boarders) 1301 Institutional inmates Demographic Variables -- PERSON Age <svar v="PR00A419" a="all"><span class="em">4. What is this person's age and what is this person's date of birth?</span><br /><div class="i1">_ _ _ Age on April 1, 2000<br />Print numbers in boxes.<br />_ _ Month<br />_ _ Day<br />_ _ _ _ Year of birth</div><br /></svar> Puerto Rico 2000: All persons This variable indicates a 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 Median age over 89 Demographic Variables -- PERSON Sex <svar v="PR00A420" a="all"><span class="em">3. What is this person's sex? </span>Mark [X] one box.<br /><div class="i1">[] Male<br />[] Female</div><br /></svar> Puerto Rico 2000: All persons This variable indicates a person's sex. 1 Male 2 Female Demographic Variables -- PERSON Race <svar v="PR00A421" a="all"><span class="em">6. What is this person's race? </span>Mark [X] one or more races to indicate what this person considers himself/herself to be.<br /><div class="i1">[] White<br /> [] Black, African American, or Negro<br /> [] American Indian or Alaska Native -- Print name of enrolled or principal tribe.</div><br /><div class="i2">____<br />____</div><br /><div class="i1">[] Asian Indian<br />[] Chinese<br />[] Filipino<br />[] Japanese<br />[] Korean<br />[] Vietnamese<br />[] Other Asian -- Print race.</div><br /><div class="i2">____<br />____</div><br /><div class="i1">[] Native Hawaiian<br />[] Guamanian or Chamorro<br />[] Samoan<br />[] Other Pacific Islander -- Print race.</div><br /><div class="i2">____<br />____</div><br /><div class="i1">[] Some other race -- Print race.</div><br /><div class="i2">____<br />____</div><br /></svar> Puerto Rico 2000: All persons This variable indicates a person's race. 100 White 200 Black/Negro 303 Blackfoot 304 Cherokee 312 Iroquois 315 Navajo 320 Pueblo 327 AIAN, tribe not specified 351 Latin American Indian 390 Other Specified AI tribe 400 Chinese 500 Japanese 600 Filipino 610 Asian Indian 620 Korean 630 Native Hawaiian 640 Vietnamese 663 Thai 672 Asian, not specified 680 Samoan 685 Guamanian/Chamorro 699 Pacific Islander (PI), n.s. 700 Other race, n.e.c. 801 White and Black 802 White and AIAN 811 White and Chinese 812 White and Japanese 813 White and Filipino 814 White and Asian Indian 815 White and Korean 817 White and Asian write-in 818 White and other Asian race(s) 821 White and Native Hawaiian 824 White and PI write-in 826 White and 'other race' write-in 830 Black and AIAN 833 Black and Japanese 834 Black and Filipino 835 Black and Asian Indian 837 Black and Asian write-in 838 Black and other Asian race(s) 841 Black and Pacific Islander write-in 845 Black and 'other race' write-in 852 AIAN and Asian Indian 854 AIAN and other Asian race(s) 856 AIAN and 'other race' write-in 868 Other Asian race(s) and PI race(s) 881 Chinese and 'other race' write-in 883 Filipino and 'other race' write-in 884 Asian Indian and 'other race' write-in 885 Asian write-in and 'other race' write-in 886 Other Asian race(s) and 'other race' write-in 891 PI write-in and 'other race' write-in 892 Other PI race(s) and 'other race' write-in 901 White, Black, and AIAN 902 White and Black and Asian 903 White and Black and Pacific Islander 904 White and Black and 'other race' write-in 905 White and American Indian/Alaska Native and Asian 907 White and American Indian/Alaska Native and 'other race' write-in 915 Other White and Asian race(s) and Pacific Islander race(s) 925 White and Pacific Islander and 'other race' write-in 930 Black and American Indian/Alaska Native and Asian 932 Black and American Indian/Alaska Native and 'other race' write-in 934 Black and Asian and 'other race' write-in 941 American Indian/Alaska Native and Asian and 'other race' write-in 942 American Indian/Alaska Native and Pacific Islander and 'other race' write-in 952 White and Black and American Indian/Alaska Native and 'other race' write-in 954 White and Black and Asian and 'other race' write-in 963 White and Asian and Pacific Islander and 'other race' write-in Ethnicity and Language Variables -- PERSON Marital status <svar v="PR00A422" a="all"><span class="em">7. What is this person's marital status?</span><br /><div class="i1">[] Now married<br />[] Widowed<br />[] Divorced<br />[] Separated<br />[] Never married</div><br /></svar> Puerto Rico 2000: All persons This variable indciates a 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 Birthplace <svar v="PR00A423" a="all"><span class="em">12. Where was this person born?</span><br /><div class="i1">[] In the United States - Print name of state.</div><br /><div class="i2">____</div><br /><div class="i1">[] Outside the United States - Print Puerto Rico or name of foreign country, Guam, etc.</div><br /><div class="i2">____</div><br /></svar> Puerto Rico 2000: All persons This variable indicates a person's birthplace. 00100 Alabama 00200 Alaska 00400 Arizona 00500 Arkansas 00600 California 00800 Colorado 00900 Connecticut 01000 Delaware 01100 District of Columbia 01200 Florida 01300 Georgia 01500 Hawaii 01600 Idaho 01700 Illinois 01800 Indiana 01900 Iowa 02000 Kansas 02100 Kentucky 02200 Louisiana 02300 Maine 02400 Maryland 02500 Massachusetts 02600 Michigan 02700 Minnesota 02800 Mississippi 02900 Missouri 03100 Nebraska 03200 Nevada 03300 New Hampshire 03400 New Jersey 03500 New Mexico 03600 New York 03700 North Carolina 03800 North Dakota 03900 Ohio 04000 Oklahoma 04100 Oregon 04200 Pennsylvania 04400 Rhode Island 04500 South Carolina 04600 South Dakota 04700 Tennessee 04800 Texas 04900 Utah 05000 Vermont 05100 Virginia 05300 Washington 05400 West Virginia 05500 Wisconsin 05600 Wyoming 10000 American Samoa 10500 Guam 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 26030 Jamaica 26042 Antigua-Barbuda 26054 Dominica 26055 Grenada 26057 St. Kitts-Nevis 26058 St. Lucia 26059 St. Vincent 26060 Trinidad and Tobago 26094 West Indies, n.s. 30005 Argentina 30010 Bolivia 30015 Brazil 30020 Chile 30025 Colombia 30030 Ecuador 30040 Guyana/British Guiana 30045 Paraguay 30050 Peru 30060 Uruguay 30065 Venezuela 30090 South America, n.s. 41000 England 41300 United Kingdom, n.s./ n.e.c. 41400 Ireland 42000 Belgium 42100 France 42500 Netherlands 42600 Switzerland 43300 Greece 43400 Italy 43600 Portugal 43800 Spain 45200 Czechoslovakia 45300 Germany 45400 Hungary 45500 Poland 45600 Romania 45700 Yugoslavia 46530 Ukraine 46540 Armenia 49900 Europe, n.s. 50000 China 50010 Hong Kong 50100 Japan 50200 Korea 51200 Indonesia 51500 Philippines 51700 Thailand 51800 Vietnam 51910 Indochina, n.s. 52100 India 52200 Iran 53500 Jordan 53600 Kuwait 53700 Lebanon 54200 Turkey 60012 Egypt/United Arab Rep. 60027 Liberia 60032 Senegal 60055 Uganda 60099 Africa, n.s./n.e.c. 70010 Australia 70020 New Zealand 71090 Oceania, n.s./n.e.c. Nativity and Birthplace Variables -- PERSON Ancestry, first response <svar v="PR00A424 PR00A425" a="all"><span class="em">10. What is this person's ancestry or ethnic origin?</span><br /><div class="i1">____<br />____</div><br />(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 /></svar> Puerto Rico 2000: All persons This variable indicates a person's ancestry, first response. 0030 Austrian 0053 Basque 0080 Belgian 0110 British 0200 Danish 0210 Dutch 0220 English 0261 French 0321 German 0460 Greek 0500 Irish 0501 Celtic 0511 Italian 0680 Sicilian 0820 Norwegian 0840 Portuguese 0870 Scotch Irish 0880 Scottish 0890 Swedish 0910 Swiss 0970 Welsh 0980 Scandinavian, Nordic 1000 Albanian 1030 Bulgarian 1110 Czechoslovakian 1111 Czech 1150 Estonian 1250 Hungarian 1260 Magyar 1280 Latvian 1290 Lithuanian 1300 Macedonian 1420 Polish 1440 Romanian 1480 Russian 1521 Serbian 1711 Ukrainian 1760 Yugoslavian 1900 Eastern European, n.e.c. 1950 European, n.e.c. 2001 Spaniard 2101 Mexican 2102 Mexicano/Mexicana 2110 Mexican American 2111 Mexican American Indian 2130 Chicano/Chicana 2183 Mexican State 2210 Costa Rican 2220 Guatemalan 2230 Honduran 2240 Nicaraguan 2251 Panamanian 2260 Salvadoran 2271 Central American 2272 Latin American 2273 Latino/Latina 2274 Latin 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 2950 Spanish American 3000 Bahamian 3010 Barbadian 3080 Jamaican 3150 Trinidadian 3212 Antigua 3245 St. Vincent Islander; Vincent-Grenadine Islander 3290 Grenadian 3310 St. Lucia Islander 3350 West Indian 3360 Haitian 3600 Brazilian 3700 Guyanese/British Guiana 4060 Moroccan 4160 Iranian 4190 Israeli 4250 Lebanese 4290 Syrian 4340 Turkish 4650 Palestinian 4950 Arab 4951 Arabic 5100 Cape Verdean 5990 African 6151 India 6152 East Indian 7060 Chinese 7200 Filipino 7301 Indonesian 7401 Japanese 7500 Korean 7760 Thai 7850 Vietnamese 7930 Eurasian 7950 Asian 8000 Australian 8110 Hawaiian 8140 Samoan 8210 Guamanian 8220 Chamorro Islander 9001 Afro-American 9002 Black 9003 Negro 9008 Afro 9020 African-American 9130 Central American Indian 9200 American Indian (all tribes) 9205 Cherokee 9206 Native American 9207 Indian 9241 White/Caucasian 9242 Anglo 9310 Canadian 9350 French Canadian 9390 American 9400 United States 9940 North American 9950 Mixture 9960 Uncodable 9980 Other 9990 Not Reported Ethnicity and Language Variables -- PERSON Ancestry, second response <svar v="PR00A424 PR00A425" a="all"><span class="em">10. What is this person's ancestry or ethnic origin?</span><br /><div class="i1">____<br />____</div><br />(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 /></svar> Puerto Rico 2000: All persons This variable indicates a person's ancestry, second response. 0030 Austrian 0053 Basque 0110 British 0200 Danish 0210 Dutch 0220 English 0261 French 0321 German 0460 Greek 0500 Irish 0501 Celtic 0511 Italian 0680 Sicilian 0820 Norwegian 0840 Portuguese 0880 Scottish 0890 Swedish 0910 Swiss 0970 Welsh 0980 Scandinavian, Nordic 1111 Czech 1420 Polish 1480 Russian 1540 Slovene 1711 Ukrainian 1950 European, n.e.c. 2001 Spaniard 2101 Mexican 2102 Mexicano/Mexicana 2110 Mexican American 2111 Mexican American Indian 2220 Guatemalan 2240 Nicaraguan 2251 Panamanian 2260 Salvadoran 2271 Central American 2273 Latino/Latina 2330 Chilean 2340 Colombian 2350 Ecuadorian 2370 Peruvian 2390 Venezuelan 2610 Puerto Rican 2710 Cuban 2750 Dominican 2900 Hispanic 2910 Spanish 3150 Trinidadian 3350 West Indian 3360 Haitian 3600 Brazilian 4250 Lebanese 4950 Arab 4951 Arabic 5990 African 6151 India 6152 East Indian 7060 Chinese 7200 Filipino 7401 Japanese 7500 Korean 7760 Thai 7950 Asian 8210 Guamanian 9001 Afro-American 9003 Negro 9020 African-American 9200 American Indian (all tribes) 9207 Indian 9310 Canadian 9350 French Canadian 9362 Cajun 9970 Deferred Cases 9990 Not Reported Ethnicity and Language Variables -- PERSON Citizenship status <svar v="PR00A426" a="all"><span class="em">13. Is this person a citizen of the United States?</span><br /><div class="i1">[] Yes, born in Puerto Rico -- Skip to 15a<br />[] Yes, born in a U.S. state, District of Columbia, Guam, the U.S. Virgin Islands, or Northern Mariana Islands<br />[] Yes, born abroad of American parent or parents<br />[] Yes, a U.S. citizen by naturalization<br />[] No, not a citizen of the United States</div><br /></svar> Puerto Rico 2000: Foreign- born persons [discrepancies: type I none; type II trace] This variable indicates a person's citizenship status. 1 Born abroad of American parents 2 Naturalized citizen 3 Not a citizen 9 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Hispanic origin <svar v="PR00A427" a="all">Note: Please answer both Questions 5 and 6.<br /><span class="em">5. Is this person Spanish/Hispanic/Latino? </span>Mark [X] the "No" box if not Spanish/Hispanic/Latino.<br /><div class="i1">[] No, not Spanish/Hispanic/Latino<br />[] Yes, Mexican, Mexican American, Chicano<br />[] Yes, Puerto Rican<br />[] Yes, Cuban<br />[] Yes, other Spanish/Hispanic/Latino -- Print group.</div><br /><div class="i2">____<br />____</div><br /></svar> Puerto Rico 2000: All persons This variable indicates a person's hispanic origin. 000 Not Hispanic 100 Mexican 102 Mexican American 103 Mexicano/Mexicana 104 Chicano/Chicana 105 La Raza 106 Mexican American Indian 107 Mexico 200 Puerto Rican 300 Cuban 401 Central American Indian 402 Canal Zone 411 Costa Rican 412 Guatemalan 413 Honduran 414 Nicaraguan 415 Panamanian 416 Salvadoran 417 Central American, n.e.c. 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, n.e.c. 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 498 Other, not specified 499 Other, not elsewhere classified 900 Not Reported Ethnicity and Language Variables -- PERSON Years in the Puerto Rico, intervalled Puerto Rico 2000: Foreign- born persons [discrepancies: none] This variable indicates a person's years spent in Puerto Rice, 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 Nativity and Birthplace Variables -- PERSON Language spoken <svar v="PR00A063 PR00A429" a="all"><span class="em">11.a. Does this person speak a language other than English at home?</span><br /><div class="i1">[] Yes<br />[] No -- Skip to 12</div><br /><span class="em">11.b. What is this language?</span><br /><div class="i1">____</div><br />(For example: Korean, Italian, Spanish, Vietnamese)<br /></svar> Puerto Rico 2000: Persons age 5+ [discrepancies: none] This variable indicates a person's first language spoken. 0100 English 0200 German 0300 Yiddish, Jewish 0600 Danish 1000 Italian 1100 French 1130 Patois 1140 French or Haitian Creole 1150 Cajun 1200 Spanish 1300 Portuguese 1600 Greek 2100 Polish 2510 Lettish 2900 Persian, Iranian, Farsi 3102 Hindi 3111 Sanskrit 3600 Turkish 4301 Chinese, Cantonese, Min, Yueh 4303 Mandarin 4700 Thai, Siamese, Lao 4800 Japanese 4900 Korean 5000 Vietnamese 5400 Filipino, Tagalog 5503 Chamorro, Guamanian 5700 Arabic 6308 Swahili 7500 Navajo 9601 Other n.e.c. 9999 NIU (not in universe) Ethnicity and Language Variables -- PERSON Speaks English <svar v="PR00A063 PR00A430" a="PR00A430"><span class="em">11.c. How well does this person speak English? </span><br /><div class="i1">[] Very well<br />[] Well<br />[] Not well<br />[] Not at all</div><br /></svar> Puerto Rico 2000: Persons age 5+ [discrepancies: none] This variable indicates if a person speaks English. 1 Does not speak English 3 Yes, speaks only English 4 Yes, speaks very well 5 Yes, speaks well 6 Yes, but not well 9 NIU (not in universe) Ethnicity and Language Variables -- PERSON School attendance <svar v="PR00A431 PR00A434" a="all"><span class="em">8.a. At any time since February 1, 2000, has this person attended regular school or college?</span><br />Include only nursery school or preschool, kindergarten, elementary school, and schooling which leads to a high school diploma or a college degree.<br /><div class="i1">[] No, has not attended since February 1 -- Skip to 9 <br />[] Yes, public school, public college<br />[] Yes, private school, private college</div><br /></svar> Puerto Rico 2000: Persons age 3+ [discrepancies: none] This variable indicates if a person attends school. 1 No, not in school 2 Yes, in school 9 NIU (not in universe) Education Variables -- PERSON Educational attainment <svar v="PR00A432 PR00A433" a="all"><span class="em">8.b. What grade or level was this person attending? </span><br />Mark [X] one box.<br />[Persons who attended public or private school at any time since February 1, 2000.]<br /><div class="i1">[] Nursery school, preschool<br />[] Kindergarten<br />[] Grade 1 to grade 4<br />[] Grade 5 to grade 8<br />[] Grade 9 to grade 12<br />[] College undergraduate years (freshman to senior)<br />[] Graduate or professional school (for example: medical, dental or law school)</div><br /><span class="em">9. What is the highest degree or level of school this person has "completed"? </span><br />Mark [X] one box. If currently enrolled, mark the previous grade or highest degree received.<br />[Persons who have not attended school since February 1, 2000]<br /><div class="i1">[] No schooling completed<br />[] Nursery school to 4th grade<br />[] 5th grade or 6th grade <br />[] 7th grade or 8th grade<br />[] 9th grade<br />[] 10th grade<br />[] 11th grade<br />[] 12th grade - no diploma<br />[] High school graduate - high school diploma or the equivalent (for example: GED)<br />[] Some college credit, but less than 1 year<br />[] 1 or more years of college, no degree<br />[] Associate degree (for example: AA, AS)<br />[] Bachelor's degree (for example: BA, AB, BS)<br />[] Master's degree (for example: MA, MS, MEng, MEd, MSW, MBA)<br />[] Professional degree (for example: MD, DDS, DVM, LLB, JD)<br />[] Doctorate degree (for example: PhD, EdD)</div><br /></svar> Puerto Rico 2000: Persons age 3+ [discrepancies: none] This variable indicates a person's educational attainment. 01 No school completed 04 1st-4th grade 05 5th-8th grade 06 9th grade 07 10th grade 08 11th grade 09 12th grade, no diploma 10 High school graduate, or GED 11 Some college, no degree 12 Associate degree, occupational program 14 Bachelor's degree 15 Master's degree 16 Professional degree 17 Doctorate degree 99 NIU (not in universe) Education Variables -- PERSON Educational attainment recode <svar v="PR00A432 PR00A433" a="all"><span class="em">8.b. What grade or level was this person attending? </span><br />Mark [X] one box.<br />[Persons who attended public or private school at any time since February 1, 2000.]<br /><div class="i1">[] Nursery school, preschool<br />[] Kindergarten<br />[] Grade 1 to grade 4<br />[] Grade 5 to grade 8<br />[] Grade 9 to grade 12<br />[] College undergraduate years (freshman to senior)<br />[] Graduate or professional school (for example: medical, dental or law school)</div><br /><span class="em">9. What is the highest degree or level of school this person has "completed"? </span><br />Mark [X] one box. If currently enrolled, mark the previous grade or highest degree received.<br />[Persons who have not attended school since February 1, 2000]<br /><div class="i1">[] No schooling completed<br />[] Nursery school to 4th grade<br />[] 5th grade or 6th grade <br />[] 7th grade or 8th grade<br />[] 9th grade<br />[] 10th grade<br />[] 11th grade<br />[] 12th grade - no diploma<br />[] High school graduate - high school diploma or the equivalent (for example: GED)<br />[] Some college credit, but less than 1 year<br />[] 1 or more years of college, no degree<br />[] Associate degree (for example: AA, AS)<br />[] Bachelor's degree (for example: BA, AB, BS)<br />[] Master's degree (for example: MA, MS, MEng, MEd, MSW, MBA)<br />[] Professional degree (for example: MD, DDS, DVM, LLB, JD)<br />[] Doctorate degree (for example: PhD, EdD)</div><br /></svar> Puerto Rico 2000: Persons age 3+ [discrepancies: none] This variable indicates a person's educational attainment recode. 0 NIU (not in universe) 1 None or preschool 2 Grade 1, 2, 3, or 4 3 Grade 5, 6, 7, or 8 4 Grade 9 5 Grade 10 6 Grade 11 7 Grade 12 8 1 to 3 years of college 9 4+ years of college Education Variables -- PERSON Public or private school <svar v="PR00A431 PR00A434" a="all"><span class="em">8.a. At any time since February 1, 2000, has this person attended regular school or college?</span><br />Include only nursery school or preschool, kindergarten, elementary school, and schooling which leads to a high school diploma or a college degree.<br /><div class="i1">[] No, has not attended since February 1 -- Skip to 9 <br />[] Yes, public school, public college<br />[] Yes, private school, private college</div><br /></svar> Puerto Rico 2000: Persons age 3+ [discrepancies: none] This variable indicates a person's public or private school attendance. 1 Not enrolled 2 Public school 3 Private school 9 NIU (not in universe) Education Variables -- PERSON Employment status Puerto Rico 2000: Persons age 16+ [discrepancies: none] This variable indicates a person's employment status. 10 At work 12 Has job, not working 14 Armed forces--at work 15 Armed forces--with job but not at work 20 Unemployed 30 Not in Labor Force 99 NIU (not in universe) Work Variables -- PERSON Labor force status <svar v="PR00A436" a="all"><span class="em">21. Last week, did this person do any work for either pay or profit? </span>Mark [X] the "Yes" box even if the person worked only 1 hour, or helped without pay in a family business or farm for 15 hours or more, or was on active duty in the Armed Forces.<br /><div class="i1">[] Yes<br />[] No -- Skip to 25a</div><br /></svar> Puerto Rico 2000: Persons age 16+ [discrepancies: none] This variable indicates a person's labor force status. 1 No, not in the labor force 2 Yes, in the labor force 9 NIU (not in universe) Work Variables -- PERSON Occupation, 1950 basis Puerto Rico 2000: Persons age 16+ who had worked within the previous five years; not new workers [discrepancies: none] This variable indicates a person's occupation. 000 Accountants and auditors 001 Actors and actresses 002 Airplane pilots and navigators 003 Architects 004 Artists and art teachers 005 Athletes 006 Authors 007 Chemists 008 Chiropractors 009 Clergymen 029 Professors and instructors, subject not specified 031 Dancers and dancing teachers 032 Dentists 033 Designers 034 Dieticians 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 048 Engineers, mining 049 Engineers (n.e.c.) 051 Entertainers (n.e.c.) 052 Farm and home management advisors 053 Foresters and conservationists 054 Funeral directors and embalmers 055 Lawyers and judges 056 Librarians 057 Musicians and music teachers 058 Nurses, professional 059 Nurses, student professional 061 Agricultural scientists 062 Biological scientists 063 Geologists and geophysicists 067 Mathematicians 068 Physicists 069 Miscellaneous natural scientists 070 Optometrists 071 Osteopaths 072 Personnel and labor relations workers 073 Pharmacists 074 Photographers 075 Physicians and surgeons 076 Radio operators 077 Recreation and group workers 078 Religious workers 079 Social and welfare workers, except group 081 Economists 082 Psychologists 083 Statisticians and actuaries 084 Miscellaneous social scientists 091 Sports instructors and officials 092 Surveyors 093 Teachers (n.e.c.) 094 Technicians, medical and dental 095 Technicians, testing 096 Technicians (n.e.c.) 097 Therapists and healers (n.e.c.) 098 Veterinarians 099 Professional, technical and kindred workers (n.e.c.) 100 Farmers (owners and tenants) 123 Farm managers 200 Buyers and department heads, store 201 Buyers and shippers, farm products 203 Conductors, railroad 204 Credit men 205 Floormen and floor managers, store 210 Inspectors, public administration 230 Managers and superintendents, building 240 Officers, pilots, pursers and engineers, ship 250 Officials and administrators (n.e.c.), public administration 260 Officials, lodge, society, union, etc. 270 Postmasters 280 Purchasing agents and buyers (n.e.c.) 290 Managers, officials, and proprietors (n.e.c.) 300 Agents (n.e.c.) 301 Attendants and assistants, library 302 Attendants, physician's and dentist's office 304 Baggagemen, transportation 305 Bank tellers 310 Bookkeepers 320 Cashiers 321 Collectors, bill and account 322 Dispatchers and starters, vehicle 325 Express messengers and railway mail clerks 335 Mail carriers 340 Messengers and office boys 341 Office machine operators 342 Shipping and receiving clerks 350 Stenographers, typists, and secretaries 360 Telegraph messengers 365 Telegraph operators 370 Telephone operators 380 Ticket, station, and express agents 390 Clerical and kindred workers (n.e.c.) 400 Advertising agents and salesmen 410 Auctioneers 420 Demonstrators 430 Hucksters and peddlers 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 501 Blacksmiths 502 Bookbinders 503 Boilermakers 504 Brickmasons, stonemasons, and tile setters 505 Cabinetmakers 510 Carpenters 511 Cement and concrete finishers 512 Compositors and typesetters 513 Cranemen, derrickmen, and hoistmen 514 Decorators and window dressers 515 Electricians 520 Electrotypers and stereotypers 521 Engravers, except photoengravers 522 Excavating, grading, and road machinery operators 523 Foremen (n.e.c.) 524 Forgemen and hammermen 525 Furriers 530 Glaziers 531 Heat treaters, annealers, temperers 532 Inspectors, scalers, and graders, log and lumber 533 Inspectors (n.e.c.) 534 Jewelers, watchmakers, goldsmiths, and silversmiths 535 Job setters, metal 540 Linemen and servicemen, telegraph, telephone, and power 541 Locomotive engineers 542 Locomotive firemen 543 Loom fixers 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 553 Mechanics and repairmen, railroad and car shop 554 Mechanics and repairmen (n.e.c.) 555 Millers, grain, flour, feed, etc. 560 Millwrights 561 Molders, metal 562 Motion picture projectionists 563 Opticians and lens grinders and polishers 564 Painters, construction and maintenance 565 Paperhangers 570 Pattern and model makers, except paper 571 Photoengravers and lithographers 572 Piano and organ tuners and repairmen 573 Plasterers 574 Plumbers and pipe fitters 575 Pressmen and plate printers, printing 580 Rollers and roll hands, metal 581 Roofers and slaters 582 Shoemakers and repairers, except factory 583 Stationary engineers 584 Stone cutters and stone carvers 585 Structural metal workers 590 Tailors and tailoresses 591 Tinsmiths, coppersmiths, and sheet metal workers 592 Tool makers, and die makers and setters 593 Upholsterers 594 Craftsmen and kindred workers (n.e.c.) 595 Members of the armed services 600 Apprentice auto mechanics 601 Apprentice bricklayers and masons 602 Apprentice carpenters 603 Apprentice electricians 604 Apprentice machinists and toolmakers 605 Apprentice mechanics, except auto 610 Apprentice plumbers and pipe fitters 611 Apprentices, building trades (n.e.c.) 612 Apprentices, metalworking trades (n.e.c.) 613 Apprentices, printing trades 614 Apprentices, other specified trades 615 Apprentices, trade not specified 620 Asbestos and insulation workers 621 Attendants, auto service and parking 622 Blasters and powdermen 623 Boatmen, canalmen, and lock keepers 624 Brakemen, railroad 625 Bus drivers 630 Chainmen, rodmen, and axmen, surveying 631 Conductors, bus and street railway 632 Deliverymen and routemen 633 Dressmakers and seamstresses, except factory 634 Dyers 635 Filers, grinders, and polishers, metal 640 Fruit, nut, and vegetable graders, and packers, except factory 641 Furnacemen, smeltermen and pourers 642 Heaters, metal 643 Laundry and dry cleaning operatives 644 Meat cutters, except slaughter and packing house 645 Milliners 650 Mine operatives and laborers 660 Motormen, mine, factory, logging camp, etc. 661 Motormen, street, subway, and elevated railway 662 Oilers and greaser, except auto 670 Painters, except construction or maintenance 671 Photographic process workers 672 Power station operators 673 Sailors and deck hands 674 Sawyers 675 Spinners, textile 680 Stationary firemen 681 Switchmen, railroad 682 Taxicab drivers and chauffers 683 Truck and tractor drivers 684 Weavers, textile 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 751 Bootblacks 752 Boarding and lodging house keepers 753 Charwomen and cleaners 754 Cooks, except private household 760 Counter and fountain workers 761 Elevator operators 762 Firemen, fire protection 763 Guards, watchmen, and doorkeepers 764 Housekeepers and stewards, except private household 770 Janitors and sextons 771 Marshals and constables 772 Midwives 773 Policemen and detectives 780 Porters 781 Practical nurses 782 Sheriffs and bailiffs 783 Ushers, recreation and amusement 784 Waiters and waitresses 785 Watchmen (crossing) and bridge tenders 790 Service workers, except private household (n.e.c.) 810 Farm foremen 820 Farm laborers, wage workers 830 Farm laborers, unpaid family workers 840 Farm service laborers, self-employed 910 Fishermen and oystermen 920 Garage laborers and car washers and greasers 930 Gardeners, except farm, and groundskeepers 940 Longshoremen and stevedores 950 Lumbermen, raftsmen, and woodchoppers 960 Teamsters 970 Laborers (n.e.c.) 999 NIU (not in universe) Work: Occupation Variables -- PERSON Occupation <svar v="PR00A438 PR00A441 PR00A442 PR00A443 PR00A586 PR00A588 PR00A590 PR00A592"><span class="em">27. Industry or Employer </span>- 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 the information for his/her last job or business since 1995.<br /></svar></p> <p><svar v="PR00A438 PR00A585 PR00A587 PR00A589 PR00A591 PR00A600" a="all"><span class="em">28. Occupation</span><br /><span class="em">28.a. What kind of work was this person doing?</span> (For example: registered nurse, personnel manager, supervisor of order department, auto mechanic, accountant)<br /><div class="i1">____<br />____<br />____</div><br /><span class="em">28.b. What were this person's most important activities or duties?</span> (For example, patient care, directing hiring policies, supervising order clerks, repairing automobiles, reconciling financial records)<br /><div class="i1">____<br />____<br />____</div><br /></svar> Puerto Rico 2000: Persons age 16+ who worked in the last five years; and persons seeking work who last worked more than 5 years ago [discrepancies: unverifiable] This variable indicates a person's occupation. 000 NIU (not in universe) 001 Chief executives 002 General and operations managers 003 Legislators 004 Advertising and promotions managers 005 Marketing and sales managers 006 Public relations managers 010 Administrative services managers 011 Computer and information systems managers 012 Financial managers 013 Human resources managers 014 Industrial production managers 015 Purchasing managers 016 Transportation, storage, and distribution managers 020 Farm, ranch, and other agricultural managers 021 Farmers and ranchers 022 Construction managers 023 Education administrator 030 Engineering managers 031 Food service managers 032 Funeral directors 033 Gaming managers 034 Lodging managers 035 Medical and health services managers 036 Natural sciences managers 040 Postmasters and mail superintendents 041 Property, real estate, and community association managers 042 Social and community service managers 043 Managers, all other 050 Agents and business managers of artists, performers, and athletes 051 Purchasing agents and buyers, farm products 052 Wholesale and retail buyers, except farm products 053 Purchasing agents, except wholesale, retail, and farm products 054 Claims adjusters, appraisers, examiners, and investigators 056 Compliance officers, except agriculture, construction, health and safety, and transportation 060 Cost estimators 062 Human resources, training, and labor relations specialists 070 Logisticians 071 Management analysts 072 Meeting and convention planners 073 Other business operations specialists 080 Accountants and auditors 081 Appraisers and assessors of real estate 082 Budget analysts 083 Credit analysts 084 Financial analysts 085 Personal financial advisors 086 Insurance underwriters 090 Financial examiners 091 Loan counselors and officers 093 Tax examiners, collectors, and revenue agents 094 Tax preparers 095 Financial specialists, all other 100 Computer scientists and systems analysts 101 Computer programmers 102 Computer software engineers 104 Computer support specialists 106 Database administrators 110 Network and computer systems administrators 111 Network systems and data communication analysts 120 Actuaries 122 Operations research analysts 124 Miscellaneous mathematical science occupations, including mathematicians and statisticians 130 Architects, except naval 131 Surveyors, cartographers, and photogrammetrists 132 Aerospace engineers 135 Chemical engineers 136 Civil engineers 140 Computer hardware engineers 141 Electrical and electronics engineers 142 Environmental engineers 143 Industrial engineers, including health and safety 144 Marine engineers 145 Materials engineers 146 Mechanical engineers 152 Petroleum, mining and geological engineers, including mining safety engineers 153 Miscellaneous engineers, including agricultural and biomedical 154 Drafters 155 Engineering technicians, except drafters 156 Surveying and mapping technicians 160 Agricultural and food scientists 161 Biological scientists 164 Conservation scientists and foresters 165 Medical scientists 171 Atmospheric and space scientists 172 Chemists and materials scientists 174 Environmental scientists and geoscientists 176 Physical scientists, all other 180 Economists 181 Market and survey researchers 182 Psychologists 184 Urban and regional planners 186 Miscellaneous social scientists, including sociologists 190 Agricultural and food science technicians 191 Biological technicians 192 Chemical technicians 193 Geological and petroleum technicians 196 Miscellaneous life, physical, and social science technicians, including social science research assistants and nuclear technicians 200 Counselors 201 Social workers 202 Miscellaneous community and social service specialists 204 Clergy 205 Directors, religious activities and education 206 Religious workers, all other 210 Lawyers 211 Judges, magistrates, and other judicial workers 214 Paralegals and legal assistants 215 Miscellaneous legal support workers 220 Postsecondary teachers 230 Preschool and kindergarten teachers 231 Elementary and middle school teachers 232 Secondary school teachers 233 Special education teachers 234 Other teachers and instructors 240 Archivists, curators, and museum technicians 243 Librarians 244 Library technicians 254 Teacher assistants 255 Other education, training, and library workers 260 Artists and related workers 263 Designers 270 Actors 271 Producers and directors 272 Athletes, coaches, umpires, and related workers 274 Dancers and choreographers 275 Musicians, singers, and related workers 276 Entertainers and performers, sports and related workers, all other 280 Announcers 281 News analysts, reporters, and correspondents 282 Public relations specialists 283 Editors 284 Technical writers 285 Writers and authors 286 Miscellaneous media and communications workers 290 Broadcast and sound engineering technicians and radio operators and other media and communication equipment workers 291 Photographers 292 Television, video, and motion picture camera operators and editors 300 Chiropractors 301 Dentists 303 Dietitians and nutritionists 304 Optometrists 305 Pharmacists 306 Physicians and surgeons 311 Physician assistants 312 Podiatrists 313 Registered nurses 314 Audiologists 315 Occupational therapists 316 Physical therapists 320 Radiation therapists 321 Recreational therapists 322 Respiratory therapists 323 Speech-language pathologists 324 Therapists, all other 325 Veterinarians 326 Health diagnosing and treating practitioners, all other 330 Clinical laboratory technologists and technicians 331 Dental hygienists 332 Diagnostic related technologists and technicians 340 Emergency medical technicians and paramedics 341 Health diagnosing and treating practitioner support technicians 350 Licensed practical and licensed vocational nurses 351 Medical records and health information technicians 352 Opticians, dispensing 353 Miscellaneous health technologists and technicians 354 Other healthcare practitioners and technical occupations 360 Nursing, psychiatric, and home health aides 361 Occupational therapist assistants and aides 362 Physical therapist assistants and aides 363 Massage therapists 364 Dental assistants 365 Medical assistants and other healthcare support occupations 370 First-line supervisors/managers of correctional officers 371 First-line supervisors/managers of police and detectives 372 First-line supervisors/managers of fire fighting and preventions workers 373 Supervisors, protective service workers, all other 374 Fire fighters 375 Fire inspectors 380 Bailiffs, correctional officers, and jailers 382 Detectives and criminal investigators 384 Miscellaneous law enforcement workers 385 Police officers 390 Animal control workers 391 Private detectives and investigators 392 Security guards and gaming surveillance officers 394 Crossing guards 395 Lifeguards and other protective service workers 400 Chefs and head cooks 401 First-line supervisors/managers of food preparation and serving workers 402 Cooks 403 Food preparation workers 404 Bartenders 405 Combined food preparation and serving workers, including fast food 406 Counter attendants, cafeteria, food concession, and coffee shop 411 Waiters and waitresses 412 Food servers, nonrestaurant 413 Dining room and cafeteria attendants, bartender helpers, and miscellaneous food preparation and serving related workers 414 Dishwashers 415 Hosts and hostesses, restaurant, lounge, and coffee shop 420 First-line supervisors/managers of housekeeping and janitorial workers 421 First-line supervisors/managers of landscaping, lawn service, and groundskeeping workers 422 Janitors and building cleaners 423 Maids and housekeeping cleaners 424 Pest control workers 425 Grounds maintenance workers 430 First-line supervisors/managers of gaming workers 432 First-line supervisors/managers of personal service workers 434 Animal trainers 435 Nonfarm animal caretakers 440 Gaming services workers 441 Motion picture projectionists 442 Ushers, lobby attendants, and ticket takers 443 Miscellaneous entertainment attendants and related workers 446 Funeral service workers 450 Barbers 451 Hairdressers, hairstylists, and cosmetologists 452 Miscellaneous personal appearance workers 453 Baggage porters, bellhops, and concierges 454 Tour and travel guides 455 Transportation attendants 460 Child care workers 461 Personal and home care aides 462 Recreation and fitness workers 464 Residential advisors 465 Personal care and service workers, all other 470 First-line supervisors/managers of retail sales workers 471 First-line supervisors/managers of non-retail sales workers 472 Cashiers 474 Counter and rental clerks 475 Parts salespersons 476 Retail salespersons 480 Advertising sales agents 481 Insurance sales agents 482 Securities, commodities, and financial services sales agents 483 Travel agents 484 Sales representatives, services, all other 485 Sales representatives, wholesale and manufacturing 490 Models, demonstrators, and product promoters 492 Real estate brokers and sales agents 493 Sales engineers 494 Telemarketers 495 Door-to-door sales workers, news and street vendors, and related workers 496 Sales and related workers, all other 500 First-line supervisors/managers of office and administrative support workers 501 Switchboard operators, including answering service 502 Telephone operators 503 Communications equipment operators, all other 510 Bill and account collectors 511 Billing and posting clerks and machine operators 512 Bookkeeping, accounting, and auditing clerks 513 Gaming cage workers 514 Payroll and timekeeping clerks 515 Procurement clerks 516 Tellers 522 Court, municipal, and license clerks 523 Credit authorizers, checkers, and clerks 524 Customer service representatives 525 Eligibility interviewers, government programs 526 File clerks 530 Hotel, motel, and resort desk clerks 531 Interviewers, except eligibility and loan 532 Library assistants, clerical 533 Loan interviewers and clerks 534 New accounts clerks 535 Correspondence clerks and order clerks 536 Human resources assistants, except payroll and timekeeping 540 Receptionists and information clerks 541 Reservation and transportation ticket agents and travel clerks 542 Information and record clerks, all other 550 Cargo and freight agents 551 Couriers and messengers 552 Dispatchers 553 Meter readers, utilities 554 Postal service clerks 555 Postal service mail carriers 556 Postal service mail sorters, processors, and processing machine operators 560 Production, planning and expediting clerks 561 Shipping, receiving, and traffic clerks 562 Stock clerks and order filers 563 Weighers, measurers, checkers, and samplers, record keeping 570 Secretaries and administrative assistants 580 Computer operators 581 Data entry keyers 582 Word processors and typists 583 Desktop publishers 584 Insurance claims and policy processing clerks 585 Mail clerks and mail machine operators, except postal service 586 Office clerks, general 590 Office machine operators, except computer 591 Proofreaders and copy markers 592 Statistical assistants 593 Office and administrative support workers, all other 600 First-line supervisors/managers of farming, fishing, and forestry workers 601 Agricultural inspectors 604 Graders and sorters, agricultural products 605 Miscellaneous agricultural workers, including animal breeders 610 Fishing and hunting workers 612 Forest and conservation workers 613 Logging workers 620 First-line supervisors/managers of construction trades and extraction workers 621 Boilermakers 622 Brickmasons, blockmasons, and stonemasons 623 Carpenters 624 Carpet, floor, and tile installers and finishers 625 Cement masons, concrete finishers, and terrazzo workers 626 Construction laborers 630 Paving, surfacing, and tamping equipment operators 632 Miscellaneous construction equipment operators 633 Drywall installers, ceiling tile installers, and tapers 635 Electricians 636 Glaziers 640 Insulation workers 642 Painters, construction and maintenance 643 Paperhangers 644 Pipelayers, plumbers, pipefitters, and steamfitters 646 Plasterers and stucco masons 651 Roofers 652 Sheet metal workers 653 Iron and steel workers 660 Helpers, construction trades 666 Construction and building inspectors 670 Elevator installers and repairers 671 Fence erectors 672 Hazardous materials 673 Highway maintenance workers 674 Rail-track laying and maintenance equipment operators 675 Septic tank servicers and sewer pipe cleaners 676 Miscellaneous construction and related workers 680 Derrick, rotary drill, and service unit operators, and roustabouts, oil, gas, and mining 682 Earth drillers, except oil and gas 683 Explosives workers, ordnance handling experts, and blasters 684 Mining machine operators 694 Miscellaneous extraction workers, including roof bolters and helpers 700 First-line supervisors/managers of mechanics, installers, and repairers 701 Computer, automated teller, and office machine repairers 702 Radio and telecommunications equipment installers and repairers 703 Avionics technicians 704 Electric motor, power tool, and related repairers 710 Electrical and electronics repairers, industrial, utility, and transportation equipment 711 Electronic equipment installers and repairers, motor vehicles 712 Electronic home entertainment equipment installers and repairers 713 Security and fire alarm systems installers 714 Aircraft mechanics and service technicians 715 Automotive body and related repairers 716 Automotive glass installers and repairers 720 Automotive service technicians and mechanics 721 Bus and truck mechanics and diesel engine specialists 722 Heavy vehicle and mobile equipment service technicians and mechanics 724 Small engine mechanics 726 Miscellaneous vehicle and mobile equipment mechanics, installers, and repairers 730 Control and valve installers and repairers 731 Heating, air conditioning, and refrigeration mechanics and installers 732 Home appliance repairers 733 Industrial and refractory machinery mechanics 734 Maintenance and repair workers, general 735 Maintenance workers, machinery 736 Millwrights 741 Electrical power-line installers and repairers 742 Telecommunications line installers and repairers 743 Precision instrument and equipment repairers 751 Coin, vending, and amusement machine servicers and repairers 754 Locksmiths and safe repairers 761 Helpers--installation, maintenance, and repair workers 762 Other installation, maintenance, and repair workers, including commercial drivers and signal and track switch repairers 770 First-line supervisors/managers of production and operating workers 771 Aircraft structure, surfaces, rigging, and systems assemblers 772 Electrical, electronics, and electromechanical assemblers 773 Engine and other machine assemblers 774 Structural metal fabricators and fitters 775 Miscellaneous assemblers and fabricators 780 Bakers 781 Butchers and other meat, poultry, and fish processing workers 783 Food and tobacco roasting, baking, and drying machine operators and tenders 784 Food batchmakers 785 Food cooking machine operators and tenders 790 Computer control programmers and operators 792 Extruding and drawing machine setters, operators, and tenders, metal and plastic 793 Forging machine setters, operators, and tenders, metal and plastic 794 Rolling machine setters, operators, and tenders, metal and plastic 795 Cutting, punching, and press machine setters, operators, and tenders, metal and plastic 800 Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic 801 Lathe and turning machine tool setters, operators, and tenders, metal and plastic 803 Machinists 804 Metal furnace and kiln operators and tenders 806 Model makers and patternmakers, metal and plastic 810 Molders and molding machine setters, operators, and tenders, metal and plastic 813 Tool and die makers 814 Welding, soldering, and brazing workers 816 Lay-out workers, metal and plastic 820 Plating and coating machine setters, operators, and tenders, metal and plastic 821 Tool grinders, filers, and sharpeners 822 Other metal workers and plastic workers, including milling, planing, and machine tool operators 823 Bookbinders and bindery workers 824 Job printers 825 Prepress technicians and workers 826 Printing machine operators 830 Laundry and dry-cleaning workers 831 Pressers, textile, garment, and related materials 832 Sewing machine operators 833 Shoe and leather workers and repairers 834 Shoe machine operators and tenders 835 Tailors, dressmakers, and sewers 836 Textile bleaching and dyeing machine operators and tenders 840 Textile cutting machine setters, operators, and tenders 841 Textile knitting and weaving machine setters, operators, and tenders 845 Upholsterers 846 Miscellaneous textile, apparel, and furnishings workers, except upholsterers 850 Cabinetmakers and bench carpenters 851 Furniture finishers 853 Sawing machine setters, operators, and tenders, wood 854 Woodworking machine setters, operators, and tenders, except sawing 855 Miscellaneous woodworkers, including model makers and patternmakers 860 Power plant operators, distributors, and dispatchers 861 Stationary engineers and boiler operators 862 Water and liquid waste treatment plant and system operators 863 Miscellaneous plant and system operators 864 Chemical processing machine setters, operators, and tenders 865 Crushing, grinding, polishing, mixing, and blending workers 871 Cutting workers 872 Extruding, forming, pressing, and compacting machine setters, operators, and tenders 873 Furnace, kiln, oven, drier, and kettle operators and tenders 874 Inspectors, testers, sorters, samplers, and weighers 875 Jewelers and precious stone and metal workers 876 Medical, dental, and ophthalmic laboratory technicians 880 Packaging and filing machine operators and tenders 881 Painting workers 883 Photographic process workers and processing machine operators 885 Cementing and gluing machine operators and tenders 886 Cleaning, washing, and metal pickling equipment operators and tenders 891 Etchers and engravers 892 Molders, shapers, and casters, except metal and plastic 893 Paper goods machine setters, operators, and tenders 894 Tire builders 895 Helpers--production workers 896 Other production workers, including semiconductor processors and cooling and freezing equipment operators 900 Supervisors, transportation and material moving workers 903 Aircraft pilots and flight engineers 904 Air traffic controllers and airfield operations specialists 912 Bus drivers 913 Driver/sales workers and truck drivers 914 Taxi drivers and chauffeurs 915 Miscellaneous motor vehicle operators, including ambulance drivers and attendants 923 Railroad brake, signal, and switch operators 924 Railroad conductors and yardmasters 926 Subway, streetcar, and other rail transportation workers 930 Sailors and marine oilers 931 Ship and boat captains and operators 935 Parking lot attendants 936 Service station attendants 941 Transportation inspectors 942 Miscellaneous transportation workers, including bridge and lock tenders and traffic technicians 951 Crane and tower operators 952 Dredge, excavating, and loading machine operators 956 Hoist and winch operators 960 Industrial truck and tractor operators 961 Cleaners of vehicles and equipment 962 Laborers and freight, stock, and material movers, hand 963 Machine feeders and offbearers 964 Packers and packagers, hand 965 Pumping station operators 972 Refuse and recyclable material collectors 975 Miscellaneous material moving workers; including conveyor operators and tenders; shuttle car operators; and tank car, truck, and ship loaders 980 Military officer special and tactical weapons leaders/managers 981 First-line enlisted military supervisors/managers 982 Military enlisted tactical operations and air/weapons specialists and crew members 983 Military, rank not specified (census only) 992 Seeking work, last worked more than 5 years ago Work: Occupation Variables -- PERSON Occupational income score Puerto Rico 2000: Persons with an occupational response (codes 000-970) recorded in OCC1950 [discrepancies: none] This variable indicates a person's occupational income score. 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 54 54 58 58 60 60 61 61 62 62 63 63 79 79 80 80 99 NIU (not in universe) Work Variables -- PERSON Duncan Socioeconomic Index Puerto Rico 2000: Persons with an occupational response (codes 000-970) recorded in OCC1950 [discrepancies: none] This variable indicates a person's Duncan Socioeconomic Index. 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 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 72 72 73 73 74 74 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 90 90 92 92 93 93 96 96 99 NIU (not in universe) Work Variables -- PERSON Industry, 1950 basis <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A449 PR00A450 PR00A451 PR00A541">Answer questions 25-26 for persons who did not work for pay or profit last week. Others skip to 27.<br /></svar></p> <p><svar v="PR00A438 PR00A441 PR00A442 PR00A443 PR00A586 PR00A588 PR00A590 PR00A592"><span class="em">27. Industry or Employer </span>- 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 the information for his/her last job or business since 1995.<br /></svar></p> <p><svar v="PR00A442 PR00A441 PR00A586 PR00A588 PR00A590 PR00A592" a="all"><span class="em">27.a. For whom did this person work? </span>If now on active duty in the Armed Forces, mark [X] this box [] <br />and print the branch of the Armed Forces _____<br />Name of company, business, or other employer<br /><div class="i1">____<br />____<br />____</div><br /><span class="em">27.b. What kind of business or industry was this? </span><br />Describe the activity at location where employed. (For example: hospital, newspaper publishing, mail order house, auto repair shop, bank)<br /><div class="i1">____<br />____<br />____</div><br /><span class="em">27.c. Is this mainly </span>- Mark [X] one box.<br /><div class="i1">[] Manufacturing<br />[] Wholesale trade<br />[] Retail trade<br />[] Other (agriculture, construction, service, government, etc.)</div><br /></svar> Puerto Rico 2000: Persons age 16+ who had worked within the previous five years, not new workers [discrepancies: none] This variable indicates a person's industry, 1950 basis. 105 Agriculture 116 Forestry 126 Fisheries 206 Metal mining 216 Coal mining 226 Crude petroleum and natural gas extraction 236 Nonmetallic mining and quarrying, except fuel 239 Mining, not specified 246 Construction 306 Logging 307 Sawmills, planing mills, and mill work 308 Miscellaneous wood products 309 Furniture and fixtures 316 Glass and glass products 317 Cement, concrete, gypsum, and plaster products 318 Structural clay products 319 Pottery and related products 326 Miscellaneous nonmetallic mineral and stone products 336 Blast furnaces, steel works, and rolling mills 337 Other primary iron and steel industries 338 Primary nonferrous industries 346 Fabricated steel products 347 Fabricated nonferrous metal products 348 Not specified metal industries 356 Agricultural machinery and tractors 357 Office and store machines and devices 358 Miscellaneous machinery 367 Electrical machinery, equipment, and supplies 376 Motor vehicles and motor vehicle equipment 377 Aircraft and parts 378 Ship and boat building and repairing 379 Railroad and miscellaneous transportation equipment 386 Professional equipment and supplies 387 Photographic equipment and supplies 388 Watches, clocks, and clockwork-operated devices 399 Miscellaneous manufacturing industries 406 Meat products 407 Dairy products 408 Canning and preserving fruits, vegetables, and 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 436 Knitting mills 437 Dyeing and finishing textiles, except knit goods 438 Carpets, rugs, and other floor coverings 439 Yarn, thread, and fabric mills 446 Miscellaneous textile mill products 448 Apparel and accessories 449 Miscellaneous fabricated textile products 456 Pulp, paper, and paperboard mills 457 Paperboard containers and boxes 458 Miscellaneous paper and pulp products 459 Printing, publishing, and allied industries 466 Synthetic fibers 467 Drugs and medicines 468 Paints, varnishes, and related products 469 Miscellaneous chemicals and allied products 476 Petroleum refining 477 Miscellaneous petroleum and coal products 478 Rubber products 487 Leather: tanned, curried, and finished 488 Footwear, except rubber 489 Leather products, except footwear 499 Not specified manufacturing industries 506 Railroads and railway express service 516 Street railways and bus lines 526 Trucking service 527 Warehousing and storage 536 Taxicab service 546 Water transportation 556 Air transportation 567 Petroleum and gasoline pipe lines 568 Services incidental to transportation 578 Telephone 579 Telegraph 586 Electric light and power 587 Gas and steam supply systems 588 Electric-gas utilities 596 Water supply 597 Sanitary services 598 Other and not specified utilities 606 Motor vehicles and equipment 607 Drugs, chemicals, and allied products 608 Dry goods apparel 609 Food and related products 616 Electrical goods, hardware, and plumbing equipment 617 Machinery, equipment, and supplies 618 Petroleum products 619 Farm products--raw materials 626 Miscellaneous wholesale trade 627 Not specified wholesale trade 636 Food stores, except dairy products 637 Dairy products stores and milk retailing 646 General merchandise stores 647 Five and ten cent stores 656 Apparel and accessories stores, except shoe 657 Shoe stores 658 Furniture and house furnishing stores 659 Household appliance and radio stores 667 Motor vehicles and accessories retailing 668 Gasoline service stations 669 Drug stores 679 Eating and drinking places 686 Hardware and farm implement stores 687 Lumber and building material retailing 688 Liquor stores 689 Retail florists 696 Jewelry stores 697 Fuel and ice retailing 698 Miscellaneous retail stores 699 Not specified retail trade 716 Banking and credit agencies 726 Security and commodity brokerage and investment companies 736 Insurance 746 Real estate 756 Real estate-insurance-law offices 806 Advertising 807 Accounting, auditing, and bookkeeping services 808 Miscellaneous business services 816 Auto repair services and garages 817 Miscellaneous repair services 826 Private households 836 Hotels and lodging places 846 Laundering, cleaning, and dyeing services 847 Dressmaking shops 848 Shoe repair shops 849 Miscellaneous personal services 856 Radio broadcasting and television 857 Theaters and motion pictures 858 Bowling alleys, and billiard and pool parlors 859 Miscellaneous entertainment and recreation services 868 Medical and other health services, except hospitals 869 Hospitals 879 Legal services 888 Educational services 896 Welfare and religious services 897 Nonprofit membership organizations 898 Engineering and architectural services 899 Miscellaneous professional and related services 906 Postal service 916 Federal public administration 926 State public administration 936 Local public administration 946 Public Administration, level not specified 976 Common or General laborer 982 Housework at home 983 School response (students, etc.) 984 Retired 987 Institution response 991 Lady/Man of leisure 995 Non-industrial response 997 Nonclassifiable 998 Industry not reported 999 NIU (not in universe) Work: Industry Variables -- PERSON Industry <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A438 PR00A441 PR00A442 PR00A443 PR00A586 PR00A588 PR00A590 PR00A592"><span class="em">27. Industry or Employer </span>- 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 the information for his/her last job or business since 1995.<br /></svar></p> <p><svar v="PR00A442 PR00A441 PR00A586 PR00A588 PR00A590 PR00A592" a="all"><span class="em">27.a. For whom did this person work? </span>If now on active duty in the Armed Forces, mark [X] this box [] <br />and print the branch of the Armed Forces _____<br />Name of company, business, or other employer<br /><div class="i1">____<br />____<br />____</div><br /><span class="em">27.b. What kind of business or industry was this? </span><br />Describe the activity at location where employed. (For example: hospital, newspaper publishing, mail order house, auto repair shop, bank)<br /><div class="i1">____<br />____<br />____</div><br /><span class="em">27.c. Is this mainly </span>- Mark [X] one box.<br /><div class="i1">[] Manufacturing<br />[] Wholesale trade<br />[] Retail trade<br />[] Other (agriculture, construction, service, government, etc.)</div><br /></svar> Puerto Rico 2000: Persons age 16+ who had worked within the previous five years; not new workers [discrepancies: unverifiable] This variable indicates a person's industry. 017 Crop production 018 Animal production 019 Forestry except logging 027 Logging 028 Fishing, hunting, and trapping 029 Support activities for agriculture and forestry 037 Oil and gas extraction 039 Metal ore mining 047 Nonmetallic mineral mining and quarrying 057 Electric power generation, transmission and distribution 058 Natural gas distribution 059 Electric and gas, and other combinations 067 Water, steam, air conditioning, and irrigation systems 068 Sewage treatment facilities 069 Not specified utilities 077 Construction 107 Animal food, grain, and oilseed milling 108 Sugar and confectionery products 109 Fruit and vegetable preserving and specialty food manufacturing 117 Dairy product manufacturing 118 Animal slaughtering and processing 119 Retail bakeries 127 Bakeries, except retail 128 Seafood and other miscellaneous foods, n.e.c. 129 Not specified food industries 137 Beverage manufacturing 139 Tobacco manufacturing 147 Fiber, yarn, and thread mills 148 Fabric mills, except knitting 149 Textile and fabric finishing and coating mills 157 Carpets and rugs manufacturing 159 Textile product mills except carpets and rugs 167 Knitting mills 168 Cut and sew apparel manufacturing 169 Apparel accessories and other apparel manufacturing 177 Footwear manufacturing 179 Leather tanning and products, except footwear manufacturing 187 Pulp, paper, and paperboard mills 188 Paperboard containers and boxes 189 Miscellaneous paper and pulp products 199 Printing and related support activities 207 Petroleum refining 209 Miscellaneous petroleum and coal products 217 Resin, synthetic rubber and fibers, and filaments manufacturing 218 Agricultural chemical manufacturing 219 Pharmaceutical and medicine manufacturing 227 Paint, coating, and adhesives manufacturing 228 Soap, cleaning compound, and cosmetic manufacturing 229 Industrial and miscellaneous chemicals 237 Plastics product manufacturing 238 Tire manufacturing 239 Rubber products, except tires, manufacturing 247 Pottery, ceramics, and related products manufacturing 248 Structural clay product manufacturing 249 Glass and glass product manufacturing 257 Cement, concrete, lime, and gypsum product manufacturing 259 Miscellaneous nonmetallic mineral product manufacturing 267 Iron and steel mills and steel product manufacturing 268 Aluminum production and processing 269 Nonferrous metal, except aluminum, production and processing 277 Foundries 278 Metal forgings and stampings 279 Cutlery and hand tool manufacturing 287 Structural metals and tank and shipping container manufacturing 288 Machine shops, turned product, screw, nut, and bolt manufacturing 289 Coating, engraving, heat treating and allied activities 298 Miscellaneous fabricated metal products manufacturing 299 Not specified metal industries 307 Agricultural implement manufacturing 308 Construction mining and oil field machinery manufacturing 309 Commercial and service industry machinery manufacturing 317 Metalworking machinery manufacturing 318 Engines, turbines, and power transmission equipment manufacturing 319 Machinery manufacturing, n.e.c. 329 Not specified machinery manufacturing 336 Computer and peripheral equipment manufacturing 337 Communications, audio, and video equipment manufacturing 338 Navigational, measuring, electromedical, and control instruments manufacturing 339 Electronic component and product manufacturing, n.e.c. 347 Household appliance manufacturing 349 Electrical lighting, equipment, and supplies manufacturing, n.e.c. 357 Motor vehicles and motor vehicle equipment manufacturing 358 Aircraft and parts manufacturing 359 Aerospace product and parts manufacturing 367 Railroad rolling stock manufacturing 368 Ship and boat building 369 Other transportation equipment manufacturing 377 Sawmills and wood preservation 379 Prefabricated wood buildings and mobile homes 387 Miscellaneous wood products 389 Furniture and related products manufacturing 396 Medical equipment and supplies manufacturing 397 Toys, amusement, and sporting goods manufacturing 398 Miscellaneous manufacturing, n.e.c. 399 Not specified manufacturing industries 407 Motor vehicles, parts and supplies 408 Furniture and home furnishings 409 Lumber and other construction materials 417 Professional and commercial equipment and supplies 418 Metals and minerals, except petroleum 419 Electrical goods 426 Hardware, plumbing and heating equipment, and supplies 427 Machinery, equipment, and supplies 428 Recyclable material 429 Miscellaneous durable goods 437 Paper and paper product wholesalers 438 Drugs, sundries, and chemical and allied product wholesalers 439 Apparel, fabrics, and notions wholesalers 447 Groceries and related product wholesalers 448 Farm product raw material wholesalers 449 Petroleum and petroleum product wholesalers 456 Alcoholic beverage wholesalers 457 Farm supplies wholesalers 458 Miscellaneous nondurable goods wholesalers 459 Not specified wholesale trade 467 Automobile dealers 468 Other motor vehicle dealers 469 Auto parts, accessories, and tire stores 477 Furniture and home furnishings stores 478 Household appliance stores 479 Radio, TV, and computer stores 487 Building material and supplies dealers 488 Hardware stores 489 Lawn and garden equipment and supplies stores 497 Grocery stores 498 Specialty food stores 499 Beer, wine, and liquor stores 507 Pharmacies and drug stores 508 Health and personal care, except drug stores 509 Gasoline stations 517 Clothing and accessories, except shoe stores 518 Shoe stores 519 Jewelry, luggage, and leather goods stores 527 Sporting goods, camera, and hobby and toy stores 528 Sewing, needlework and piece goods stores 529 Music stores 537 Book stores and news dealers 538 Department stores 539 Miscellaneous general merchandise stores 547 Retail florists 548 Office supplies and stationary stores 549 Used merchandise stores 557 Gift, novelty, and souvenir shops 558 Miscellaneous retail stores 559 Electronic shopping and mail-order houses 567 Vending machine operators 568 Fuel dealers 569 Other direct selling establishments 579 Not specified retail trade 607 Air transportation 608 Rail transportation 609 Water transportation 617 Truck transportation 618 Bus service and urban transit 619 Taxi and limousine service 627 Pipeline transportation 628 Scenic and sightseeing transportation 629 Services incidental to transportation 637 Postal Service 638 Couriers and messengers 639 Warehousing and storage 647 Newspaper publishers 648 Publishing, except newspapers and software 649 Software publishing 657 Motion pictures and video industries 659 Sound recording industries 667 Radio and television broadcasting and cable 668 Wired telecommunications carriers 669 Other telecommunication services 677 Libraries and archives 678 Other information services 679 Data processing services 687 Banking and related activities 688 Savings institutions, including credit unions 689 Non-depository credit and related activities 697 Securities, commodities, funds, trusts, and other financial investments 699 Insurance carriers and related activities 707 Real estate 708 Automotive equipment rental and leasing 717 Video tape and disk rental 718 Other consumer goods rental 719 Commercial, industrial, and other intangible assets rental and leasing 727 Legal services 728 Accounting, tax preparation, bookkeeping and payroll services 729 Architectural, engineering, and related services 737 Specialized design services 738 Computer systems design and related services 739 Management, scientific and technical consulting services 746 Scientific research and development services 747 Advertising and related services 748 Veterinary services 749 Other professional, scientific and technical services 757 Management of companies and enterprises 758 Employment services 759 Business support services 767 Travel arrangements and reservation services 768 Investigation and security services 769 Services to buildings and dwellings 777 Landscaping services 778 Other administrative, and other support services 779 Waste management and remediation services 786 Elementary and secondary schools 787 Colleges and universities, including junior colleges 788 Business, technical, and trade schools and training 789 Other schools, instruction, and educational services 797 Offices of physicians 798 Offices of dentists 799 Office of chiropractors 807 Offices of optometrists 808 Offices of other health practitioners 809 Outpatient care centers 817 Home health care services 818 Other health care services 819 Hospitals 827 Nursing care facilities 829 Residential care facilities, without nursing 837 Individual and family services 838 Community food and housing, and emergency services 839 Vocational rehabilitation services 847 Child day care services 856 Independent artists, performing arts, spectator sports, and related industries 857 Museums, art galleries, historical sites, and similar institutions 858 Bowling centers 859 Other amusement, gambling, and recreation industries 866 Traveler accommodation 867 Recreational vehicle parks and camps, and rooming and boarding houses 868 Restaurants and other food services 869 Drinking places, alcoholic beverages 877 Automotive repair and maintenance 878 Car washes 879 Electronic and precision equipment repair and maintenance 887 Commercial and industrial machinery and equipment repair and maintenance 888 Personal and household goods repair and maintenance 889 Footwear and leather goods repair 897 Barber shops 898 Beauty salons 899 Nail salons and other personal care services 907 Dry cleaning and laundry services 908 Funeral homes, cemeteries and crematories 909 Other personal services 916 Religious organizations 917 Civic, social, advocacy organizations, and grant-making and giving services 918 Labor unions 919 Business, professional, political, and similar organizations 929 Private households 937 Executive offices and legislative bodies 938 Public finance activities 939 Other general government and support 947 Justice, public order, and safety activities 948 Administration of human resource programs 949 Administration of environmental quality and housing programs 957 Administration of economic programs and space research 959 National security and international affairs 967 U.S. Army 968 U.S. Air Force 969 U.S. Navy 977 U.S. Marines 978 U.S. Coast Guard 979 U.S. Armed Forces, branch not specified 987 Military Reserves or National Guard 992 Unemployed, with no work experience since 1995 999 NIU (not in universe) Work: Industry Variables -- PERSON Class of worker <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A438 PR00A441 PR00A442 PR00A443 PR00A586 PR00A588 PR00A590 PR00A592"><span class="em">27. Industry or Employer </span>- 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 the information for his/her last job or business since 1995.<br /></svar></p> <p><svar v="PR00A443" a="all"><span class="em">29. Was this person </span>- Mark [X] one box.<br /><div class="i1">[] Employee of a private-for-profit company, business or individual, for wages, salary, or commissions<br />[] Employee of a private not-for-profit, tax-exempt, or charitable organization<br />[] Local government employee (city, county, municipality, etc.)<br />[] State government employee<br />[] 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><br /></svar> Puerto Rico 2000: Persons age 16+ who had worked within the previous five years, not new workers [discrepancies: none] This variable indicates a worker's class. 13 Self-employed, not incorporated 14 Self-employed, incorporated 22 Wage/salary, private 23 Wage/salary at non-profit 25 Federal government employee 27 Commonwealth employee 28 Local government employee 29 Unpaid family worker 99 NIU (not in universe) Work Variables -- PERSON Weeks worked last year <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A444 PR00A445" a="all"><span class="em">30.b. How many weeks did this person work in 1999? </span>Count paid vacation, paid sick leave, and military service.<br /><div class="i1">_ _ Weeks</div><br /></svar> Puerto Rico 2000: Persons age 16+, worked last year [discrepancies: none] This variable indicates the number of weeks worked last 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 99 NIU (not in universe) Work Variables -- PERSON Weeks worked last year, intervalled <svar v="PR00A444 PR00A445" a="all"><span class="em">30.b. How many weeks did this person work in 1999? </span>Count paid vacation, paid sick leave, and military service.<br /><div class="i1">_ _ Weeks</div><br /></svar> Puerto Rico 2000: Persons age 16+, worked last year [discrepancies: none] This variable indicates the number of weeks worked last year, intervalled. 1 1-13 weeks 2 14-26 weeks 3 27-39 weeks 4 40-47 weeks 5 48-49 weeks 6 50-52 weeks 9 NIU (not in universe) Work Variables -- PERSON Usual hours worked per week <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A446" a="all"><span class="em">30.c. During the weeks worked in 1999, how many hours did this person usually work each week? </span><br /><div class="i1">_ _ Usual hours worked each week</div><br /></svar> Puerto Rico 2000: Persons age 16+, worked last year [discrepancies: none] This variable indicates the usual hours 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 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 62 62 63 63 64 64 65 65 66 66 67 67 68 68 70 70 71 71 72 72 73 73 75 75 76 76 77 77 78 78 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99+ Work Variables -- PERSON Years in Puerto Rico Puerto Rico 2000: Foreign-born persons [discrepancies: type I 90.8%; type II none] This variable indicates the number of years a person has spent in the 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 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 70 70 71 71 72 72 73 73 74 74 75 75 76 76 78 78 80 80 85 85 89 89 90 90 99 NIU (not in universe) Work Variables -- PERSON Worked last year <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A448" a="all"><span class="em">30.a. Last year, 1999, did this person work at a job or business at any time?</span><br /><div class="i1">[] Yes<br />[] No -- Skip to 31</div><br /></svar> Puerto Rico 2000: Persons age 16+ [discrepancies: none] This variable indicates if a person worked last year. 1 No 2 Yes 9 NIU (not in universe) Work Variables -- PERSON Absent from work last week <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A449 PR00A450 PR00A451 PR00A541">Answer questions 25-26 for persons who did not work for pay or profit last week. Others skip to 27.<br /></svar></p> <p><svar v="PR00A449" a="all"><span class="em">25.a. Last week, was this person on layoff from a job?</span><br /><div class="i1">[] Yes-- Skip to 25c<br />[] No</div><br /><span class="em">25.b. Last week, was this person temporarily absent from a job or business?</span><br /><div class="i1">[] Yes, on vacation, temporary illness, labor dispute, etc. -- Skip to 26<br />[] No -- Skip to 25d</div><br /></svar> Puerto Rico 2000: Persons age 16+, not at work during previous week [discrepancies: none] This variable indicates if a person was absent from work last week. 1 No 2 Yes, laid off 3 Yes, other reason (vacation, illness, labor dispute, etc.) 4 Not reported 9 NIU (not in universe) Work Variables -- PERSON Looking for work <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A449 PR00A450 PR00A451 PR00A541">Answer questions 25-26 for persons who did not work for pay or profit last week. Others skip to 27.<br /></svar></p> <p><svar v="PR00A450" a="all"><span class="em">25.d. Has this person been looking for work during the last 4 weeks?</span><br /><div class="i1">[] Yes<br />[] No -- Skip to 26</div><br /></svar> Puerto Rico 2000: Persons age 16+, not at work during previous week [discrepancies: none] This variable indicates that a person is looking for work. 1 No, did not look for work 2 Yes, looked for work 3 Not reported 9 NIU (not in universe) Work Variables -- PERSON Available for work <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A449 PR00A450 PR00A451 PR00A541">Answer questions 25-26 for persons who did not work for pay or profit last week. Others skip to 27.<br /></svar></p> <p><svar v="PR00A451" a="all"><span class="em">25.e. Last week, could this person have started a job if offered one, or returned to work if recalled?</span><br /><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><br /></svar> Puerto Rico 2000: Persons age 16+, not at work during previous week [discrepancies: none] This variable indicates that a person is available for work. 9 NIU (not in universe) 1 No, already has job 2 No, temporarily ill 3 No, other reason(s) 4 Yes, available for work 5 Not reported Work Variables -- PERSON Total personal income <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A459 PR00A456 PR00A455 PR00A457 PR00A452 PR00A453 PR00A458"><span class="em">31. Income in 1999 </span>- Mark [X] the "Yes" box for each income source received during 1999 and enter the total amount received during 1999 to a maximum of $999,999. Mark [X] the "No" box if the income source was not received. If net income was a loss, enter the amount and mark [X] the "Loss" box next to the dollar amount.<br />For income received jointly, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and mark the "No" box for the other person. If exact amount is not known, please give best estimate.<br /></svar></p> <p><svar v="PR00A052 PR00A452" a="all"><span class="em">32. What was this person's total income in 1999? </span>Add entries in questions 31 a-31 h; subtract any losses. If net income was a loss, enter the amount and mark [X] the "Loss" box next to the dollar amount.<br /><div class="i1">[] None OR<br />Annual amount - Dollars</div><br /><div class="i2">$_ _ _, _ _ _ .00<br />[] Loss</div><br /></svar> Puerto Rico 2000: Persons age 15+ [discrepancies: type I 23.9%, type II none] This variable indicates a person's total personal income. This is a 6-digit numeric variable. Codes485000 = Top code. 485001+ = 485001 or more (state mean of top-coded values) 999999 = NIU. Income Variables -- PERSON Wage and salary income <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A459 PR00A456 PR00A455 PR00A457 PR00A452 PR00A453 PR00A458"><span class="em">31. Income in 1999 </span>- Mark [X] the "Yes" box for each income source received during 1999 and enter the total amount received during 1999 to a maximum of $999,999. Mark [X] the "No" box if the income source was not received. If net income was a loss, enter the amount and mark [X] the "Loss" box next to the dollar amount.<br />For income received jointly, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and mark the "No" box for the other person. If exact amount is not known, please give best estimate.<br /></svar></p> <p><svar v="PR00A453 PR00A458" a="all"><span class="em">31.a. Wages, salary, commissions, bonuses, or tips from all jobs </span>- Report amount before deductions for taxes, bonds, dues, or other items.<br /><div class="i1">[] Yes<br />Annual amount - Dollars</div><br /><div class="i2">$_ _ _, _ _ _ .00</div><br /><div class="i1">[] No</div><br /></svar></p> <p><svar v="PR00A559 PR00A453" a=" PR00A559"><span class="em">31.b. Self-employment income from own nonfarm businesses or farm businesses, including proprietorships and partnerships </span>- Report net income after business expenses.<br /><div class="i1">[] Yes<br />Annual amount - Dollars</div><br /><div class="i2">$_ _ _, _ _ _ .00<br />[] Loss</div><br /><div class="i1">[] No</div><br /></svar> Puerto Rico 2000: Persons age 15+ [discrepancies: type I none; type II 45.9%] This variable indicates a person's wage and salary income. This is a 6-digit numeric variable. Codes485000 = Top code 999999 = NIU. Income Variables -- PERSON Poverty status Puerto Rico 2000: Private households [discrepancies: none] This variable indicates a person's poverty status. This is a 3-digit numeric variable. Codes000 = NIU (not in universe). 001 = 1 percent or less of poverty threshold. 501 = 501 percent or more of poverty threshold. Income Variables -- PERSON Social Security income <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A459 PR00A456 PR00A455 PR00A457 PR00A452 PR00A453 PR00A458"><span class="em">31. Income in 1999 </span>- Mark [X] the "Yes" box for each income source received during 1999 and enter the total amount received during 1999 to a maximum of $999,999. Mark [X] the "No" box if the income source was not received. If net income was a loss, enter the amount and mark [X] the "Loss" box next to the dollar amount.<br />For income received jointly, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and mark the "No" box for the other person. If exact amount is not known, please give best estimate.<br /></svar></p> <p><svar v="PR00A455" a="all"><span class="em">31.d. Social Security or Railroad Retirement </span><br /><div class="i1">[] Yes<br />Annual amount - Dollars</div><br /><div class="i2">$_ _ _, _ _ _ .00</div><br /><div class="i1">[] No</div><br /><span class="em">31.e. Supplemental Security Income (SSI) </span><br /><div class="i1">[] Yes<br />Annual amount - Dollars</div><br /><div class="i2">$_ _ _, _ _ _ .00</div><br /><div class="i1">[] No</div><br /></svar> Puerto Rico 2000: Persons age 15+ [discrepancies: none] This variable indicates that a person receives social security income. This is a 5-digit numeric variable. Codes27100 = Top code. 99999 = NIU (not in universe). Income Variables -- PERSON Welfare (public assistance) income <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A459 PR00A456 PR00A455 PR00A457 PR00A452 PR00A453 PR00A458"><span class="em">31. Income in 1999 </span>- Mark [X] the "Yes" box for each income source received during 1999 and enter the total amount received during 1999 to a maximum of $999,999. Mark [X] the "No" box if the income source was not received. If net income was a loss, enter the amount and mark [X] the "Loss" box next to the dollar amount.<br />For income received jointly, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and mark the "No" box for the other person. If exact amount is not known, please give best estimate.<br /></svar></p> <p><svar v="PR00A456" a="all"><span class="em">31.f. Any public assistance or welfare payments from the state or local welfare office</span><br /><div class="i1">[] Yes<br />Annual amount - Dollars</div><br /><div class="i2">$_ _ _, _ _ _ .00</div><br /><div class="i1">[] No</div><br /></svar> Puerto Rico 2000: Persons age 15+ [discrepancies: none] This variable indicates that a person receives welfare (public assistance) income. This is a 5-digit numeric variable. Codes21000 = Top code. 99999 = NIU (not in universe). Income Variables -- PERSON Interest, dividend, and rental income <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A459 PR00A456 PR00A455 PR00A457 PR00A452 PR00A453 PR00A458"><span class="em">31. Income in 1999 </span>- Mark [X] the "Yes" box for each income source received during 1999 and enter the total amount received during 1999 to a maximum of $999,999. Mark [X] the "No" box if the income source was not received. If net income was a loss, enter the amount and mark [X] the "Loss" box next to the dollar amount.<br />For income received jointly, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and mark the "No" box for the other person. If exact amount is not known, please give best estimate.<br /></svar></p> <p><svar v="PR00A457" a="all"><span class="em">31.c. Interest, dividends, net rental income, royalty income, or income from estates and trusts </span>- Report even small amounts credited to an account.<br /><div class="i1">[] Yes<br />Annual amount - Dollars</div><br /><div class="i2">$_ _ _, _ _ _ .00</div><br /><div class="i1">[] No</div><br /></svar> Puerto Rico 2000: Persons age 15+ [discrepancies: none] This variable indicates a person's interest, dividend, and rental income. This is a 6-digit numeric variable. Codes174000 = Top code. 99999 = NIU (not in universe). Income Variables -- PERSON Total personal earned income <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A459 PR00A456 PR00A455 PR00A457 PR00A452 PR00A453 PR00A458"><span class="em">31. Income in 1999 </span>- Mark [X] the "Yes" box for each income source received during 1999 and enter the total amount received during 1999 to a maximum of $999,999. Mark [X] the "No" box if the income source was not received. If net income was a loss, enter the amount and mark [X] the "Loss" box next to the dollar amount.<br />For income received jointly, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and mark the "No" box for the other person. If exact amount is not known, please give best estimate.<br /></svar></p> <p><svar v="PR00A453 PR00A458" a="all"><span class="em">31.a. Wages, salary, commissions, bonuses, or tips from all jobs </span>- Report amount before deductions for taxes, bonds, dues, or other items.<br /><div class="i1">[] Yes<br />Annual amount - Dollars</div><br /><div class="i2">$_ _ _, _ _ _ .00</div><br /><div class="i1">[] No</div><br /></svar> Puerto Rico 2000: All persons This variable indicates a person's total personal earned income. This is a 6-digit numeric variable. Codes-10000 = Bottom code. 485000 = Top code. 999999 = NIU. Income Variables -- PERSON Other income <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A459 PR00A456 PR00A455 PR00A457 PR00A452 PR00A453 PR00A458"><span class="em">31. Income in 1999 </span>- Mark [X] the "Yes" box for each income source received during 1999 and enter the total amount received during 1999 to a maximum of $999,999. Mark [X] the "No" box if the income source was not received. If net income was a loss, enter the amount and mark [X] the "Loss" box next to the dollar amount.<br />For income received jointly, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and mark the "No" box for the other person. If exact amount is not known, please give best estimate.<br /></svar></p> <p><svar v="PR00A559 PR00A453" a=" PR00A559"><span class="em">31.b. Self-employment income from own nonfarm businesses or farm businesses, including proprietorships and partnerships </span>- Report net income after business expenses.<br /><div class="i1">[] Yes<br />Annual amount - Dollars</div><br /><div class="i2">$_ _ _, _ _ _ .00<br />[] Loss</div><br /><div class="i1">[] No</div><br /></svar></p> <p><svar v="PR00A459" a="all"><span class="em">31.h. Any other sources of income received regularly such as Veterans' (VA) payments, unemployment compensation, child support, or alimony </span>- Do not include lump-sum payments such as money from an inheritance or sale of a home.<br /><div class="i1">[] Yes<br />Annual amount - Dollars</div><br /><div class="i2">$_ _ _, _ _ _ .00</div><br /><div class="i1">[] No</div><br /></svar> Puerto Rico 2000: Persons age 15+ [discrepancies: none] This variable indicates a person's other income. This is a 5-digit numeric variable. Codes68000 = Top code. 99999 = NIU. Income Variables -- PERSON Migration status, 5 years <svar v="PR00A460" a="all"><span class="em">15.a. Did this person live in this house or apartment 5 years ago (on April 1, 1995)?</span><br /><div class="i1">[] Person is under 5 years old -- Skip to 33<br />[] Yes, this house -- Skip to 16<br />[] No, outside Puerto Rico or the United States -- Print name of foreign country, or U.S. Virgin Islands, Guam, etc., below -- Then skip to 16.</div><br /><div class="i2">____</div><br /><div class="i1">[] No, different house in Puerto Rico or the United States</div><br /></svar> Puerto Rico 2000: Persons age 5+ [discrepancies: none] This variable indicates a person's migration status, 5 years. 10 Same house 20 Moved, place not reported 60 Abroad 99 NIU (not in universe) Migration: Global Variables -- PERSON State or country of residence 5 years ago <svar v="PR00A461 PR00A462 PR00A463 PR00A464" a="all"><span class="em">15.b. Where did this person live 5 years ago? </span><br /><div class="i1">____ Name of city, town, or post office<br /><span class="em">Did this person live inside the limits of the city or town?</span><br />[] Yes<br />[] No, outside the city/town limits</div><br /><div class="i2">____ Name of municipality or U.S. county<br />____ Enter Puerto Rico or name of U.S. State<br />_ _ _ _ _ ZIP Code</div><br /></svar> Puerto Rico 2000: Persons age 5+ who lived in different country 5 years ago [discrepancies: none] This variable indicates the state or country of residence 5 years ago. 000 NIU (not in universe) 001 Alabama 002 Alaska 004 Arizona 005 Arkansas 006 California 008 Colorado 009 Connecticut 010 Delaware 011 District of Columbia 012 Florida 013 Georgia 015 Hawaii 017 Illinois 018 Indiana 019 Iowa 020 Kansas 021 Kentucky 022 Louisiana 023 Maine 024 Maryland 025 Massachusetts 026 Michigan 027 Minnesota 028 Mississippi 029 Missouri 030 Montana 032 Nevada 033 New Hampshire 034 New Jersey 035 New Mexico 036 New York 037 North Carolina 039 Ohio 040 Oklahoma 041 Oregon 042 Pennsylvania 044 Rhode Island 045 South Carolina 046 South Dakota 047 Tennessee 048 Texas 049 Utah 050 Vermont 051 Virginia 053 Washington 054 West Virginia 055 Wisconsin 056 Wyoming 105 Guam 110 Puerto Rico 115 Virgin Islands 150 Canada 200 Mexico 212 Costa Rica 213 El Salvador 214 Guatemala 215 Honduras 216 Nicaragua 217 Panama 250 Cuba 261 Dominican Republic 262 Haiti 266 Trinidad and Tobago 267 Other West Indies 305 Argentina 310 Bolivia 315 Brazil 320 Chile 325 Colombia 330 Ecuador 350 Peru 365 Venezuela 390 South America, n.e.c. 404 Norway 410 England 413 United Kingdom 421 France 426 Switzerland 435 Italy 438 Spain 453 Germany 454 Hungary 499 Europe, n.s. 500 China 501 Japan 515 Philippines 534 Israel/Palestine 535 Jordan 540 Saudi Arabia 542 Turkey 599 Asia, n.e.c./n.s. Migration: Global Variables -- PERSON Metropolitan area of residence 5 years ago <svar v="PR00A461 PR00A462 PR00A463 PR00A464" a="all"><span class="em">15.b. Where did this person live 5 years ago? </span><br /><div class="i1">____ Name of city, town, or post office<br /><span class="em">Did this person live inside the limits of the city or town?</span><br />[] Yes<br />[] No, outside the city/town limits</div><br /><div class="i2">____ Name of municipality or U.S. county<br />____ Enter Puerto Rico or name of U.S. State<br />_ _ _ _ _ ZIP Code</div><br /></svar> Puerto Rico 2000: Persons age 5+ in identifiable metropolitan areas [discrepancies: not verifiable] This variable indicates a person's metropolitan area of residence 5 years ago. 0000 NIU (not in universe) 0060 Aguadilla, Puerto Rico 0080 Unknown 0160 Albany-Schenectady-Troy, NY 0200 Albuquerque, NM 0240 Allentown-Bethlehem-Easton, PA 0380 Anchorage, AK 0440 Ann Arbor, MI 0470 Arecibo, Puerto Rico 0520 Atlanta, GA 0560 Atlantic City, NJ 0580 Auburn-Opelika, AL 0600 Augusta, GA-SC 0640 Austin, TX 0680 Bakersfield, CA 0720 Baltimore, MD 0760 Baton Rouge, LA 0870 Benton Harbor, MI 0920 Biloxi-Gulfport, MS 0960 Binghamton, NY 1000 Birmingham, AL 1020 Bloomington, IN 1120 Boston, MA 1121 Lawrence-Haverhill, MA/NH 1122 Lowell, MA/NH 1150 Bremerton, WA 1160 Bridgeport, CT 1200 Brockton, MA 1280 Buffalo, NY 1290 Caguas, PR 1400 Champaign-Urbana-Rantoul, IL 1440 Charleston, SC 1520 Charlotte, NC 1600 Chicago, IL 1602 Gary-Hammond-East Chicago, IN 1640 Cincinnati, OH-KY 3200 Hamilton-Middleton, OH 1680 Cleveland, OH 1720 Colorado Springs, CO 1740 Columbia, MO 1760 Columbia, SC 1800 Columbus, GA 1840 Columbus, OH 1920 Dallas, TX 1921 Fort Worth, TX 1930 Danbury, CT 2020 Daytona Beach, FL 2160 Detroit, MI 2281 Dutchess County, New York 2310 El Paso, TX 2360 Erie, PA 2560 Fayetteville, NC 2600 Fitchburg-Leominster, MA 2620 Flagstaff, AZ-UT 2650 Florence, AL 2680 Fort Lauderdale-Hollywood-Pompano Beach, FL 2700 Fort Myers-Cape Coral, FL 2840 Fresno, CA 2900 Gainesville, FL 2920 Unknown 2980 Goldsboro, NC 3000 Grand Rapids, MI 3120 Greensboro-High Point, NC 3160 Greenville-Spartenburg-Anderson, SC 3180 Hagerstown, MD 3240 Harrisburg, PA 3280 Hartford, CT 3320 Balance of Honolulu 3360 Houston, TX 3440 Huntsville, AL 3480 Indianapolis, IN 3590 Jacksonville, FL 3600 Jacksonville, NC 3610 Jamestown-Dunkirk, NY 3660 Johnson City-Kingsport-Bristol, TN/VA 3720 Kalamazo, MI 3810 Killeen-Temple, TX 3840 Knoxville, TN 3920 Lafayette-W.Lafayette, IN 3960 Lake Charles, LA 3980 Lakeland-Winterhaven, FL 4000 Lancaster, PA 4040 Lansing, MI 4080 Laredo, TX 4120 Las Vegas, NV 4320 Lima, OH 4480 Los Angeles, CA 4482 Orange County, CA 4520 Louisville, KY/IN 4680 Bibb, GA 4720 Madison, WI 4760 Manchester, NH 4800 Mansfield, OH 4880 McAllen-Edinburg-Pharr-Mission, TX 4900 Melbourne-Titusville-Cocoa-Palm Bay, FL 4920 Memphis, TN 5080 Milwaukee, WI 5120 Minneapolis-St. Paul, MN 5160 Mobile, AL 5190 Monmouth-Ocean, NJ 5350 Nashua, NH 5360 Nashville, TN 5400 Bristol, MA 5480 New Haven, CT 5560 New Orleans, LA 5600 New York-Northeastern NJ 5601 Nassau-Suffolk, NY 5602 Bergen-Passaic, NJ 5603 Jersey City, NJ 5604 Middlesex-Somerset-Hunterdon, NJ 5605 Newark, NJ 5660 Newburgh-Middletown, NY 5720 Norfolk-Portsmouth, VA 5790 Ocala, FL 5960 Orlando, FL 6010 Panama City, FL 6080 Pensacola, FL 6160 Philadelphia, PA/NJ 6200 Phoenix, AZ 6280 Pittsburgh, PA 6360 Ponce, Puerto Rico 6440 Portland, OR/WA 6480 Providence, RI 6600 Racine, WI 6640 Raleigh-Durham-Chapel Hill, NC 6680 Reading, PA 6760 Richmond, VA 6780 Riverside, CA 6820 Rochester, MN 6840 Rochester, NY 6880 Rockford, IL 6920 Sacramento, CA 6960 Saginaw, MI 7040 St. Louis, MO/IL 7160 Salt Lake City, UT 7240 San Antonio, TX 7320 San Diego, CA 7360 San Francisco-Oakland, CA 7361 Oakland, CA 7362 Vallejo-Fairfield-Napa, CA 7400 San Jose, CA 7440 San Juan-Bayamon, Puerto Rico 7470 Santa Barbara-Santa Maria-Lompoc, CA 7480 Santa Cruz, CA 7560 Scranton, PA 7600 Seattle, WA 8200 Tacoma, WA 8000 Springfield-Holyoke, MA 8040 Stamford, CT 8160 Syracuse, NY 8280 Tampa-St. Petersburg, FL 8400 Toledo, OH 8480 Trenton, NJ 8520 Tucson, AZ 8680 Utica-Rome, NY 8730 Ventura-Oxnard-Simi Valley 8760 Vineland-Millville-Bridgeton, NJ 8840 Washington, DC/MD/VA 8880 Waterbury, CT 8920 Waterloo-Cedar Falls, IA 8960 West Palm Beach-Boca Raton -Delray Beach, FL 9160 Wilmington, DE 9240 Worcester, MA 9260 Yakima, WA 9270 Yolo, CA 9280 York, PA 9320 Youngstown, OH/PA Migration: Global Variables -- PERSON Metropolitan status 5 years ago <svar v="PR00A461 PR00A462 PR00A463 PR00A464" a="all"><span class="em">15.b. Where did this person live 5 years ago? </span><br /><div class="i1">____ Name of city, town, or post office<br /><span class="em">Did this person live inside the limits of the city or town?</span><br />[] Yes<br />[] No, outside the city/town limits</div><br /><div class="i2">____ Name of municipality or U.S. county<br />____ Enter Puerto Rico or name of U.S. State<br />_ _ _ _ _ ZIP Code</div><br /></svar> Puerto Rico 2000: Persons age 5+ who lived in a different house 5 years ago [discrepancies: none] This variable indicates a person's metropolitan status 5 years 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 9 Unknown Migration: Global Variables -- PERSON City of residence 5 years ago (PR or US state) <svar v="PR00A461 PR00A462 PR00A463 PR00A464" a="all"><span class="em">15.b. Where did this person live 5 years ago? </span><br /><div class="i1">____ Name of city, town, or post office<br /><span class="em">Did this person live inside the limits of the city or town?</span><br />[] Yes<br />[] No, outside the city/town limits</div><br /><div class="i2">____ Name of municipality or U.S. county<br />____ Enter Puerto Rico or name of U.S. State<br />_ _ _ _ _ ZIP Code</div><br /></svar> Puerto Rico 2000: Persons age 5+ who lived in an identifiable city [discrepancies: not verifiable] This variable indicates a person's city of residence 5 years ago. 0000 Not in identifiable city (or size group) 0090 Alexandria, VA 0210 Anchorage, AK 0530 Baltimore, MD 0600 Bayamon, PR 0810 Boston, MA 0830 Bridgeport, CT 1020 Carolina, PR 1150 Chesapeake, VA 1430 Columbus, GA 2650 Hampton, VA 2710 Hartford, CT 3770 Lowell, MA 3910 Manchester, NH 4530 New Haven, CT 4570 New Orleans, LA 4610 New York, NY 4750 Newport News, VA 4810 Norfolk, VA 5330 Philadelphia, PA 5500 Ponce, PR 5650 Providence, RI 5870 Richmond, VA 6090 Saint Louis, MO 6290 San Francisco, CA 6300 San Juan, PR 6670 Springfield, MA 6730 Stamford, CT 7130 Virginia Beach, VA 7230 Washington, DC 7250 Waterbury, CT 7570 Worcester, MA Migration: Global Variables -- PERSON Place of work: metropolitan status Puerto Rico 2000: Persons age 16+ who worked last week [discrepancies: none] This variable indicates metropolitan status of place of work. 0 NIU (not in universe) 4 Not central city 5 Central city status unknown 7 Outside metropolitan area 8 Outside metropolitan area or abroad 9 Not reported/unknown Work Variables -- PERSON Place of work, country Puerto Rico 2000: Persons age 16+ who worked last week [discrepancies: none] This variable indicates a person's place of work. 1 Puerto Rico 2 Other 9 NIU (not in universe) Work Variables -- PERSON Work disability <svar v="PR00A468 PR00A469 PR00A545 PR00A470"><span class="em">17. Because of a physical, mental, or emotional condition lasting 6 months or more, does this person have any difficulty in doing any of the following activities:</span><br /></svar></p> <p><svar v="PR00A468" a="all"><span class="em">17.d. (Answer if this person is 16 years old or over.) Working at a job or business? </span><br /><div class="i1">[] Yes<br />[] No</div><br /></svar> Puerto Rico 2000: Persons age 16+ [discrepancies: none] This variable indicates a person's work disability. 1 No disability that affects work 4 Disability causes difficulty working 9 NIU (not in universe) Disability Variables -- PERSON Disability limiting mobility <svar v="PR00A468 PR00A469 PR00A545 PR00A470"><span class="em">17. Because of a physical, mental, or emotional condition lasting 6 months or more, does this person have any difficulty in doing any of the following activities:</span><br /></svar></p> <p><svar v="PR00A469" a="all"><span class="em">17.c. (Answer if this person is 16 years old or over.) Going outside the home alone to shop or visit a doctor's office? </span><br /><div class="i1">[] Yes<br />[] No</div><br /></svar> Puerto Rico 2000: Persons age 16+ [discrepancies: none] This variable indicates that a person has a disability limiting mobility. 1 No mobility limitation 2 Yes, mobility is limited 9 NIU (not in universe) Disability Variables -- PERSON Personal care limitation <svar v="PR00A468 PR00A469 PR00A545 PR00A470"><span class="em">17. Because of a physical, mental, or emotional condition lasting 6 months or more, does this person have any difficulty in doing any of the following activities:</span><br /></svar></p> <p><svar v="PR00A470" a="all"><span class="em">17.b. Dressing, bathing, or getting around inside the home? </span><br /><div class="i1">[] Yes<br />[] No</div><br /></svar> Puerto Rico 2000: Persons age 5+ [discrepancies: none] This variable indicates that a person has a personal care limitation. 1 No personal care limitation 2 Yes, personal care limitation 9 NIU (not in universe) Disability Variables -- PERSON Veteran status <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A471" a="all"><span class="em">20.a. Has this person ever served on active duty in the U.S. Armed Forces, military Reserves, or National Guard? </span>Active duty does not include training for the Reserves or National Guard, but does include activation, for example, for the Persian Gulf War.<br /><div class="i1">[] Yes, now on active duty<br />[] Yes, on active duty in past, but not now<br />[] No, training for Reserves or National Guard only -- Skip to 21<br />[] No, never served in the military -- Skip to 21</div><br /></svar> Puerto Rico 2000: Persons age 17+ [discrepancies: none] This variable indicates a person's veteran status. 1 No Service 2 Yes 9 NIU (not in universe) Other Person Variables -- PERSON Veteran, served 1980 to 1990 <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A472 PR00A473 PR00A474 PR00A476 PR00A477 PR00A478 PR00A479 PR00A546 PR00A547" a="all"><span class="em">20.b. When did this person serve on active duty in the U.S. Armed Forces? </span>Mark [X] a box for each period in which this person served.<br /><div class="i1">[] April 1995 or later<br /> [] August 1990 to March 1995 (including Persian Gulf War)<br /> [] September 1980 to July 1990<br /> [] May 1975 to August 1980<br /> [] Vietnam era (August 1964-April 1975)<br /> [] February 1955 to July 1964<br /> [] Korean conflict (June 1950-January 1955)<br /> [] World War II (September 1940-July 1947)<br /> [] Some other time</div><br /></svar> Puerto Rico 2000: Persons age 17+ [discrepancies: none] This variable indicates a person is a veteran and served from 1980 to 1990. 1 No 2 Yes, served this period 9 NIU (not in universe) Other Person Variables -- PERSON Veteran, served 1975 to 1980 <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A472 PR00A473 PR00A474 PR00A476 PR00A477 PR00A478 PR00A479 PR00A546 PR00A547" a="all"><span class="em">20.b. When did this person serve on active duty in the U.S. Armed Forces? </span>Mark [X] a box for each period in which this person served.<br /><div class="i1">[] April 1995 or later<br /> [] August 1990 to March 1995 (including Persian Gulf War)<br /> [] September 1980 to July 1990<br /> [] May 1975 to August 1980<br /> [] Vietnam era (August 1964-April 1975)<br /> [] February 1955 to July 1964<br /> [] Korean conflict (June 1950-January 1955)<br /> [] World War II (September 1940-July 1947)<br /> [] Some other time</div><br /></svar> Puerto Rico 2000: Persons age 17+ [discrepancies: none] This variable indicates that a person is a veteran and served from 1975 to 1980. 1 No 2 Yes, served this period 9 NIU (not in universe) Other Person Variables -- PERSON Veteran, served during Vietnam era <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A472 PR00A473 PR00A474 PR00A476 PR00A477 PR00A478 PR00A479 PR00A546 PR00A547" a="all"><span class="em">20.b. When did this person serve on active duty in the U.S. Armed Forces? </span>Mark [X] a box for each period in which this person served.<br /><div class="i1">[] April 1995 or later<br /> [] August 1990 to March 1995 (including Persian Gulf War)<br /> [] September 1980 to July 1990<br /> [] May 1975 to August 1980<br /> [] Vietnam era (August 1964-April 1975)<br /> [] February 1955 to July 1964<br /> [] Korean conflict (June 1950-January 1955)<br /> [] World War II (September 1940-July 1947)<br /> [] Some other time</div><br /></svar> Puerto Rico 2000: Persons age 17+ [discrepancies: none] This variable indicates that a person is a veteran and served during Vietnam era. 1 No 2 Yes, Vietnam-era veteran 9 NIU (not in universe) Other Person Variables -- PERSON Years of active-duty military service <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A475" a="all"><span class="em">20.c. In total, how many years of active-duty military service has this person had?</span><br /><div class="i1">[] Less than 2 years<br />[] 2 years or more</div><br /></svar> Puerto Rico 2000: Persons age 17+, currently or formerly in armed services [discrepancies: none] This variable indicates the number of years of active-duty military service. 1 2 years of service or less 2 More than 2 years of service 9 NIU (not in universe) Other Person Variables -- PERSON Veteran, served 1955 to 1964 <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A472 PR00A473 PR00A474 PR00A476 PR00A477 PR00A478 PR00A479 PR00A546 PR00A547" a="all"><span class="em">20.b. When did this person serve on active duty in the U.S. Armed Forces? </span>Mark [X] a box for each period in which this person served.<br /><div class="i1">[] April 1995 or later<br /> [] August 1990 to March 1995 (including Persian Gulf War)<br /> [] September 1980 to July 1990<br /> [] May 1975 to August 1980<br /> [] Vietnam era (August 1964-April 1975)<br /> [] February 1955 to July 1964<br /> [] Korean conflict (June 1950-January 1955)<br /> [] World War II (September 1940-July 1947)<br /> [] Some other time</div><br /></svar> Puerto Rico 2000: Persons age 17+ [discrepancies: none] This variable indicates that a person is a veteran and served from 1955 to 1964. 1 No 2 Yes, served this period 9 NIU (not in universe) Other Person Variables -- PERSON Veteran, served during Korean conflict era <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A472 PR00A473 PR00A474 PR00A476 PR00A477 PR00A478 PR00A479 PR00A546 PR00A547" a="all"><span class="em">20.b. When did this person serve on active duty in the U.S. Armed Forces? </span>Mark [X] a box for each period in which this person served.<br /><div class="i1">[] April 1995 or later<br /> [] August 1990 to March 1995 (including Persian Gulf War)<br /> [] September 1980 to July 1990<br /> [] May 1975 to August 1980<br /> [] Vietnam era (August 1964-April 1975)<br /> [] February 1955 to July 1964<br /> [] Korean conflict (June 1950-January 1955)<br /> [] World War II (September 1940-July 1947)<br /> [] Some other time</div><br /></svar> Puerto Rico 2000: Persons age 17+ [discrepancies: none] This variable indicates that a person is a veteran and served during Korean conflict era. 1 No 2 Yes, served this period 9 NIU (not in universe) Other Person Variables -- PERSON Veteran, served during WWII era <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A472 PR00A473 PR00A474 PR00A476 PR00A477 PR00A478 PR00A479 PR00A546 PR00A547" a="all"><span class="em">20.b. When did this person serve on active duty in the U.S. Armed Forces? </span>Mark [X] a box for each period in which this person served.<br /><div class="i1">[] April 1995 or later<br /> [] August 1990 to March 1995 (including Persian Gulf War)<br /> [] September 1980 to July 1990<br /> [] May 1975 to August 1980<br /> [] Vietnam era (August 1964-April 1975)<br /> [] February 1955 to July 1964<br /> [] Korean conflict (June 1950-January 1955)<br /> [] World War II (September 1940-July 1947)<br /> [] Some other time</div><br /></svar> Puerto Rico 2000: Persons age 17+ [discrepancies: none] This variable indicates that a person is a veteran and served during WWII era. 1 No 2 Yes, served this period 9 NIU (not in universe) Other Person Variables -- PERSON Veteran of other period <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A472 PR00A473 PR00A474 PR00A476 PR00A477 PR00A478 PR00A479 PR00A546 PR00A547" a="all"><span class="em">20.b. When did this person serve on active duty in the U.S. Armed Forces? </span>Mark [X] a box for each period in which this person served.<br /><div class="i1">[] April 1995 or later<br /> [] August 1990 to March 1995 (including Persian Gulf War)<br /> [] September 1980 to July 1990<br /> [] May 1975 to August 1980<br /> [] Vietnam era (August 1964-April 1975)<br /> [] February 1955 to July 1964<br /> [] Korean conflict (June 1950-January 1955)<br /> [] World War II (September 1940-July 1947)<br /> [] Some other time</div><br /></svar> Puerto Rico 2000: Persons age 17+ [discrepancies: none] This variable indicates that a person is a veteran of another period. 1 No 2 Yes, served this period(s) 9 NIU (not in universe) Other Person Variables -- PERSON Means of transportation to work <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A480" a="all"><span class="em">23.a. How did this person usually get to work last week? </span>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 /><div class="i1">[] 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 27<br />[] Other method</div><br />If "Car, truck, or van" is marked in 23a, go to 23b. Otherwise, skip to 24a.<br /></svar> Puerto Rico 2000: Person age 16+ who worked last week [discrepancies: none] This variable indicates a 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 35 Taxicab 36 Ferryboat (launch in Puerto Rico) 40 Bicycle 50 Walked only 60 Other 70 Worked at home Work Variables -- PERSON Carpooling <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A481 PR00A482" a="all"><span class="em">23.b. How many people, including this person, usually rode to work in the car, truck, or van last week?</span><br /><div class="i1">[] Drove alone<br />[] 2 people<br />[] 3 people<br />[] 4 people<br />[] 5 or 6 people<br />[] 7 or more people</div><br /></svar> Puerto Rico 2000: Persons age 16+ who worked last week and used a private auto, truck, or van to go to work [discrepancies: none] This variable indicates that a person carpools to work. 1 Drives alone 2 Carpools 9 NIU (not in universe) Work Variables -- PERSON Vehicle occupancy <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A481 PR00A482" a="all"><span class="em">23.b. How many people, including this person, usually rode to work in the car, truck, or van last week?</span><br /><div class="i1">[] Drove alone<br />[] 2 people<br />[] 3 people<br />[] 4 people<br />[] 5 or 6 people<br />[] 7 or more people</div><br /></svar> Puerto Rico 2000: Persons age 16+ who worked last week and used a private auto, truck, or van to go to work [discrepancies: none] This variable indicates a person's vehicle occupancy in transportation to work. 1 Drives alone 2 2 people 3 3 4 4 5 5 or 6 7 7+ 9 NIU (not in universe) Work Variables -- PERSON Travel time to work <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A483" a="all"><span class="em">24.b. How many minutes did it usually take this person to get from home to work last week?</span><br /><div class="i1">_ _ _ Minutes</div><br /></svar> Puerto Rico 2000: Persons age 16+ who worked outside the home last week [discrepancies: none] This variable indicates a person's travel time to work. 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 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 42 42 43 43 45 45 46 46 48 48 49 49 50 50 51 51 54 54 55 55 56 56 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 68 68 70 70 72 72 75 75 76 76 77 77 78 78 80 80 85 85 88 88 89 89 90 90 95 95 99 NIU (not in universe) Work Variables -- PERSON Time of departure for work <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A484" a="all"><span class="em">24.a. What time did this person usually leave home to go to work last week?</span><br /><div class="i1">_ _ : _ _<br />[] a.m.<br />[] p.m.</div><br /></svar> Puerto Rico 2000: Persons age 16+ who worked outside the home last week [discrepancies: none] This variable indicates a person's time of departure for work. 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 0507 507 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 0807 807 0812 812 0817 817 0822 822 0827 827 0832 832 0837 837 0842 842 0847 847 0852 852 0857 857 0902 902 0907 907 0912 912 0917 917 0922 922 0927 927 0932 932 0937 937 0942 942 0947 947 0952 952 0957 957 1002 1002 1005 1005 1007 1007 1012 1012 1015 1015 1017 1017 1022 1022 1025 1025 1027 1027 1032 1032 1035 1035 1037 1037 1042 1042 1045 1045 1047 1047 1052 1052 1055 1055 1057 1057 1105 1105 1115 1115 1125 1125 1135 1135 1145 1145 1155 1155 1205 1205 1215 1215 1225 1225 1235 1235 1245 1245 1255 1255 1305 1305 1315 1315 1325 1325 1335 1335 1345 1345 1355 1355 1405 1405 1415 1415 1425 1425 1435 1435 1445 1445 1455 1455 1505 1505 1515 1515 1525 1525 1535 1535 1545 1545 1555 1555 1605 1605 1615 1615 1625 1625 1635 1635 1645 1645 1655 1655 1705 1705 1715 1715 1725 1725 1735 1735 1745 1745 1755 1755 1805 1805 1815 1815 1825 1825 1835 1835 1845 1845 1855 1855 1905 1905 1915 1915 1920 1920 1925 1925 1935 1935 1945 1945 1955 1955 2005 2005 2015 2015 2020 2020 2025 2025 2035 2035 2045 2045 2050 2050 2055 2055 2105 2105 2115 2115 2125 2125 2135 2135 2145 2145 2155 2155 2205 2205 2215 2215 2225 2225 2235 2235 2245 2245 2255 2255 2305 2305 2315 2315 2325 2325 2335 2335 2345 2345 2350 2350 2355 2355 Work Variables -- PERSON Place of work: metropolitan area <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A485 PR00A486 PR00A560 PR00A564" a="all"><span class="em">22. At what location did this person work last week?</span> If this person worked at more than one location, print where he or she worked most last week.<br /><div class="i1"><span class="em">a.</span> Development or condominium name: Number and street name</div><br /><div class="i2">____<br />____</div><br /><div class="i1">(If the exact address is not known, give a description of the location such as the building name or the nearest street or intersection.)<br /><span class="em">b.</span> Name of city, town, or post office ____<br /><span class="em">c.</span> Is the work location inside the limits of that city or town?</div><br /><div class="i2">[] Yes<br />[] No, outside the city/town limits</div><br /><div class="i1"><span class="em">d.</span> Name of municipality or U.S. county ____<br /><span class="em">e.</span> Enter Puerto Rico or name of U.S. state or foreign country ____<br /><span class="em">f.</span> ZIP Code _ _ _ _ _</div><br /></svar> Puerto Rico 2000: Persons age 16+ who worked last week in identifiable metropolitan areas [discrepancies: not verifiable] This variable indicates a person's place of work is in a metropolitan area. 0000 NIU (not in universe) 0060 Aguadilla 0470 Arecibo 1290 Caguas 6360 Ponce 7440 San Juan-Bayamon Work Variables -- PERSON Place of work: city <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A485 PR00A486 PR00A560 PR00A564" a="all"><span class="em">22. At what location did this person work last week?</span> If this person worked at more than one location, print where he or she worked most last week.<br /><div class="i1"><span class="em">a.</span> Development or condominium name: Number and street name</div><br /><div class="i2">____<br />____</div><br /><div class="i1">(If the exact address is not known, give a description of the location such as the building name or the nearest street or intersection.)<br /><span class="em">b.</span> Name of city, town, or post office ____<br /><span class="em">c.</span> Is the work location inside the limits of that city or town?</div><br /><div class="i2">[] Yes<br />[] No, outside the city/town limits</div><br /><div class="i1"><span class="em">d.</span> Name of municipality or U.S. county ____<br /><span class="em">e.</span> Enter Puerto Rico or name of U.S. state or foreign country ____<br /><span class="em">f.</span> ZIP Code _ _ _ _ _</div><br /></svar> Puerto Rico 2000: Persons age 16+ who worked last week in identifiable cities [discrepancies: not verifiable] This variable indicates a person's place of work is in a city. 0000 N/A or not identifiable 0600 Bayamon 1050 Carolina 2600 Guyanabo 5500 Ponce 6320 San Juan Work Variables -- PERSON Flag for augmented person Puerto Rico 2000: All persons This variable indicates a flag for augmented person. 0 Unaltered case 4 All person variables allocated Person Imputation Flags Variables -- PERSON Flag for age Puerto Rico 2000: All persons This variable indicates a flag for age. 0 Entered as written 4 Allocated Person Imputation Flags Variables -- PERSON Flag for ancestr1 Puerto Rico 2000: All persons This variable indicates a flag for ancestr1. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for departs Puerto Rico 2000: All persons This variable indicates a flag for departs. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for bpl, nativity Puerto Rico 2000: All persons This variable indicates a flag for bpl, nativity. 0 Entered as written 4 Allocated Person Imputation Flags Variables -- PERSON Flag for carpool Puerto Rico 2000: All persons This variable indicates a flag for carpool. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for citizen Puerto Rico 2000: All persons This variable indicates a flag for citizen. 0 Original entry or Inapplicable (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for classwkr Puerto Rico 2000: All persons This variable indicates a flag for classwkr. 0 Original entry or Inapplicable (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for language, speakeng Puerto Rico 2000: All persons This variable indicates a flag for language, speakeng. 0 Not allocated or N/A 4 Allocated, pre-edit Person Imputation Flags Variables -- PERSON Flag for disabwrk Puerto Rico 2000: All persons This variable indicates a flag for disabwrk. 0 Not allocated 4 Allocated, hot deck Person Imputation Flags Variables -- PERSON Flag for empstat, labforce Puerto Rico 2000: All persons This variable indicates a flag for empstat, labforce. 0 Original entry or Inapplicable (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for educrec, higrade, educ99 Puerto Rico 2000: All persons This variable indicates a flag for educrec, higrade, educ99. 0 Original entry or Inapplicable (not in universe) 4 Consistency edit Person Imputation Flags Variables -- PERSON Flag for inctot Puerto Rico 2000: All persons This variable indicates a flag for inctot. 0 Original entry or Inapplicable (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for incbus, inctot, incearn Puerto Rico 2000: All persons This variable indicates a flag for incbus, inctot, incearn. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for incinvst, inctot Puerto Rico 2000: All persons This variable indicates a flag for incinvst, inctot. 0 Not allocated or N/A 4 Allocated Person Imputation Flags Variables -- PERSON Flag for incother, inctot Puerto Rico 2000: All persons This variable indicates a flag for incother, inctot. 0 Original entry or Inapplicable (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for incss, inctot Puerto Rico 2000: All persons This variable indicates a flag for incss, inctot. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for incwage, inctot, incearn Puerto Rico 2000: All persons This variable indicates a flag for incwage, inctot, incearn. 0 Original entry or Inapplicable (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for incwelfr, inctot Puerto Rico 2000: All persons This variable indicates a flag for incwelfr, inctot. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for Iid, ind1950 Puerto Rico 2000: All persons This variable indicates a flag for Iid, ind1950. 0 Original entry or Inapplicable (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for disabmob Puerto Rico 2000: All persons This variable indicates a flag for disabmob. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for perscare Puerto Rico 2000: All persons This variable indicates a flag for perscare. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for marst Puerto Rico 2000: All persons This variable indicates a flag for marst. 0 Entered as written 4 Allocated Person Imputation Flags Variables -- PERSON Flag for incretir, inctot Puerto Rico 2000: All persons This variable indicates a flag for incretir, inctot. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for migplac5, migmet5, migcity5, migtype5, migtyp00 Puerto Rico 2000: All persons This variable indicates a flag for migplac5, migmet5, migcity5, migtype5, migtyp00. 0 Original entry or Inapplicable (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for migrate5 Puerto Rico 2000: All persons This variable indicates a flag for migrate5. 0 Original entry or Inapplicable (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for vetyrs Puerto Rico 2000: All persons This variable indicates a flag for vetyrs. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for movedin Puerto Rico 2000: All persons This variable indicates a flag for movedin. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for occ, occ1950, SEI, occscore, occsoc, labforce Puerto Rico 2000: All persons This variable indicates a flag for occ, occ1950, SEI, occscore, occsoc, labforce. 0 Entered as written 4 Allocated Person Imputation Flags Variables -- PERSON Flag for race variables Puerto Rico 2000: All persons This variable indicates a flag for race, racamind, racasian, racblk, racpais, racwht, racoth, racnum, racesing, probai, probblk, proboth, probwht, probapi. 0 Entered as written 4 Allocated Person Imputation Flags Variables -- PERSON Flag for relate Puerto Rico 2000: All persons This variable indicates a flag for relate. 0 Entered as written 4 Allocated Person Imputation Flags Variables -- PERSON Flag for riders Puerto Rico 2000: All persons This variable indicates a flag for riders. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for school, schltype Puerto Rico 2000: All persons This variable indicates a flag for school, schltype. 0 Original entry or Inapplicable (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for sex Puerto Rico 2000: All persons This variable indicates a flag for sex. 0 Entered as written 4 Allocated Person Imputation Flags Variables -- PERSON Flag for speakeng Puerto Rico 2000: All persons This variable indicates a flag for speakeng. 0 Not allocated 4 Allocated, hot deck Person Imputation Flags Variables -- PERSON Flag for trantime Puerto Rico 2000: All persons This variable indicates a flag for trantime. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for tranwork Puerto Rico 2000: All persons This variable indicates a flag for tranwork. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for uhrswork Puerto Rico 2000: All persons This variable indicates a flag for uhrswork. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for veteran variables 1 Puerto Rico 2000: All persons This variable is a flag for vetper, vetstat, vet55x64, vet75x80, vet80x90, vet90x95, vet95x00, vetkorea, vetother, vetvietn, vetwwi, vetwwii, vet01ltr, vet47x50, vet90x01. 0 Original entry or Inapplicable (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for veteran variables 2 Puerto Rico 2000: All persons This variable is a flag for vetstat, vet55x64, vet75x80, vet80x90, vet90x95, vetkorea, vetother, vetvietn, vetwwi, Vetwwii, vet01ltr, vet47x50, vet90x01. 0 Original entry or Inapplicable (not in universe) 4 Allocated Person Imputation Flags Variables -- PERSON Flag for wkswork1, wkswork2 Puerto Rico 2000: All persons This variable is a flag for wkswork1, wkswork2. 0 Original entry or Inapplicable (not in universe) 4 Allocated, pre-edit Person Imputation Flags Variables -- PERSON Flag for workedyr Puerto Rico 2000: All persons This variable is a flag for workedyr. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for yrimmig, yrsusa1, yrsusa2 Puerto Rico 2000: All persons This variable is a flag for yrimmig, yrsusa1, yrsusa2. 0 Fields OK as written 4 Allocated, hot deck Person Imputation Flags Variables -- PERSON Own grandchildren living in household <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A530" a="all"><span class="em">19.a. Does this person have any of his/her own grandchildren under the age of 18 living in this house or apartment?</span><br /><div class="i1">[] Yes<br />[] No -- Skip to 20a</div><br /></svar> Puerto Rico 2000: Persons age 15+ [discrepancies: none] This variable indicates that a person's own grandchildren living are in the household. 1 No 2 Yes 9 NIU (not in universe) Other Person Variables -- PERSON Race: American Indian or Alaska Native Puerto Rico 2000: All persons This variable indicates a person's race: American Indian or Alaska Native. 1 No 2 Yes Ethnicity and Language Variables -- PERSON Race: Asian Puerto Rico 2000: All persons This variable indicates a person's race: Asian. 1 No 2 Yes Ethnicity and Language Variables -- PERSON Race: black or African American Puerto Rico 2000: All persons This variable indicates a person's race: black or African American. 1 No 2 Yes Ethnicity and Language Variables -- PERSON Race: Pacific Islander Puerto Rico 2000: All persons This variable indicates a person's race: Pacific Islander. 1 No 2 Yes Ethnicity and Language Variables -- PERSON Number of major race groups Puerto Rico 2000: All persons This variable indicates the number of major race groups. 1 1 race group 2 2 race groups 3 3 race groups 4 4 race groups 5 5 race groups 6 6 race groups Ethnicity and Language Variables -- PERSON Race: some other race Puerto Rico 2000: All persons This variable indicates a person's race: some other race. 1 No 2 Yes Ethnicity and Language Variables -- PERSON Race: white Puerto Rico 2000: All persons This variable indicates a person's race: white. 1 No 2 Yes Ethnicity and Language Variables -- PERSON Grade level attending Puerto Rico 2000: Persons attending school [discrepancies: type I trace; type II none] This variable indicates a person's grade level attending. 0 NIU (not in universe) 1 Nursery school/preschool 2 Kindergarten 3 Grade 1 to grade 4 4 Grade 5 to grade 8 5 Grade 9 to grade 12 6 College undergraduate 7 Graduate or professional school Education Variables -- PERSON Informed of work recall <svar v="PR00A541" a="all"><span class="em">25.c. Has this person been informed that he or she will be recalled to work within the next 6 months or been given a date to return to work?</span><br /><div class="i1">[] Yes -- Skip to 25e<br />[] No</div><br /></svar> Puerto Rico 2000: Persons age 15+, not at work during previous week [discrepancies: none] This variable indicates that a person has been informed of work recall. 1 No 2 Yes 3 Not reported 9 NIU (not in universe) Work Variables -- PERSON Supplementary Security Income Puerto Rico 2000: Persons age 15+ [discrepancies: none] This variable indicates that a person receives supplementary security income. This is a 5-digit numeric variable. Codes19900 = Top code. 99999 = NIU (not in universe). Income Variables -- PERSON Vision or hearing difficulty <svar v="PR00A543 PR00A544"><span class="em">16. Does this person have any of the following long-lasting conditions?</span><br /></svar></p> <p><svar v="PR00A543" a="all"><span class="em">16.a. Blindness, deafness, or a severe vision or hearing impairment? </span><br /><div class="i1">[] Yes<br />[] No</div><br /></svar> Puerto Rico 2000: Persons age 5+ [discrepancies:none] This variable indicates that a person has vision or hearing difficulty. 1 No 2 Yes 9 NIU (not in universe) Disability Variables -- PERSON Physical difficulty <svar v="PR00A543 PR00A544"><span class="em">16. Does this person have any of the following long-lasting conditions?</span><br /></svar></p> <p><svar v="PR00A544" a="all"><span class="em">16.b. A condition that substantially limits one or more basic physical activities such as walking, climbing stairs, reaching, lifting, or carrying?</span><br /><div class="i1">[] Yes<br />[] No</div><br /></svar> Puerto Rico 2000: Persons age 5+ [discrepancies:none] This variable indicates that a person has a physical difficulty. 1 No 2 Yes 9 NIU (not in universe) Disability Variables -- PERSON Difficulty remembering <svar v="PR00A468 PR00A469 PR00A545 PR00A470"><span class="em">17. Because of a physical, mental, or emotional condition lasting 6 months or more, does this person have any difficulty in doing any of the following activities:</span><br /></svar></p> <p><svar v="PR00A545" a="all"><span class="em">17.a. Learning, remembering, or concentrating? </span><br /><div class="i1">[] Yes<br />[] No</div><br /></svar> Puerto Rico 2000: Persons age 5+ [discrepancies:none] This variable indicates that a person has difficulty remembering. 1 No 2 Yes 9 NIU (not in universe) Disability Variables -- PERSON Veteran, served 1990 to 1995 <svar v="PR00A472 PR00A473 PR00A474 PR00A476 PR00A477 PR00A478 PR00A479 PR00A546 PR00A547" a="all"><span class="em">20.b. When did this person serve on active duty in the U.S. Armed Forces? </span>Mark [X] a box for each period in which this person served.<br /><div class="i1">[] April 1995 or later<br /> [] August 1990 to March 1995 (including Persian Gulf War)<br /> [] September 1980 to July 1990<br /> [] May 1975 to August 1980<br /> [] Vietnam era (August 1964-April 1975)<br /> [] February 1955 to July 1964<br /> [] Korean conflict (June 1950-January 1955)<br /> [] World War II (September 1940-July 1947)<br /> [] Some other time</div><br /></svar> Puerto Rico 2000: Persons age 17+ [discrepancies: type I none; type II 72%] This variable indicates that a person is a veteran and served 1990 to 1995. 1 No 2 Yes, served this period 9 NIU (not in universe) Other Person Variables -- PERSON Veteran, served 1995 to 2000 <svar v="PR00A472 PR00A473 PR00A474 PR00A476 PR00A477 PR00A478 PR00A479 PR00A546 PR00A547" a="all"><span class="em">20.b. When did this person serve on active duty in the U.S. Armed Forces? </span>Mark [X] a box for each period in which this person served.<br /><div class="i1">[] April 1995 or later<br /> [] August 1990 to March 1995 (including Persian Gulf War)<br /> [] September 1980 to July 1990<br /> [] May 1975 to August 1980<br /> [] Vietnam era (August 1964-April 1975)<br /> [] February 1955 to July 1964<br /> [] Korean conflict (June 1950-January 1955)<br /> [] World War II (September 1940-July 1947)<br /> [] Some other time</div><br /></svar> Puerto Rico 2000: Persons age 17+ [discrepancies: type I none; type II 72.6%] This variable indicates that a person is a veteran and served 1995 to 2000. 1 No 2 Yes, served this period 9 NIU (not in universe) Other Person Variables -- PERSON Months responsible for grandchildren <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar> Puerto Rico 2000: Persons age 30+, living with at least one grandchild under age 18 for whom he or she is responsible [discrepancies: none] This variable indicates the number of months responsible for grandchildren. 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 9 NIU (not in universe) Other Person Variables -- PERSON Responsible for grandchildren <svar v="PR00A052 PR00A441 PR00A442 PR00A443 PR00A444 PR00A446 PR00A448 PR00A449 PR00A450 PR00A451 PR00A452 PR00A453 PR00A455 PR00A456 PR00A457 PR00A458 PR00A459 PR00A471 PR00A472 PR00A473 PR00A474 PR00A475 PR00A476 PR00A477 PR00A478 PR00A479 PR00A480 PR00A481 PR00A482 PR00A483 PR00A484 PR00A485 PR00A486 PR00A530 PR00A548 PR00A549">[Questions 19 through 32 asked of persons aged 15 and over.]<br /></svar></p> <p><svar v="PR00A548" a="all"><span class="em">19.c. How long has this grandparent been responsible for the/se grandchild/children? </span>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 /><div class="i1">[] Less than 6 months<br />[] 6 to 11 months<br />[] 1 or 2 years<br />[] 3 or 4 years<br />[] 5 years or more</div><br /></svar> Puerto Rico 2000: Persons age 30+, living with grandchildren under age 18 [discrepancies: none] This variable indicates that a person is responsible for grandchildren. 0 NIU (not in universe) 1 No 2 Yes Other Person Variables -- PERSON Flag for diffeye Puerto Rico 2000: All persons This variable indicates a flag for diffeye. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for incsupp Puerto Rico 2000: All persons This variable is a flag for incsupp. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for diffphy Puerto Rico 2000: All persons This variable is a flag for diffphy. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for diffrem Puerto Rico 2000: All persons This variable is a flag for diffrem. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for gchouse Puerto Rico 2000: All persons This variable is a flag for gchouse. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for gcmonths Puerto Rico 2000: All persons This variable is a flag for gcmonths. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for gcrespon Puerto Rico 2000: All persons This variable is a flag for gcrespon. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Flag for gradeatt Puerto Rico 2000: All persons This variable is a flag for gradeatt. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Poverty status, 2000 criteria Puerto Rico 2000: Not institutional group quarters; not in college dormitories or military quarters; not unrelated children under 15 years [discrepancies: none] This variable indicates 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 Puerto Rico 2000: Persons age 15+ [discrepancies: none] This variable indicates business and farm income. This is a 6-digit numeric variable. CodesTopcode: Higher amounts are expressed as the state means of values above $126,000 999999 = NIU (not in universe) Income Variables -- PERSON Place of work: metropolitan status <svar v="PR00A485 PR00A486 PR00A560 PR00A564" a="all"><span class="em">22. At what location did this person work last week?</span> If this person worked at more than one location, print where he or she worked most last week.<br /><div class="i1"><span class="em">a.</span> Development or condominium name: Number and street name</div><br /><div class="i2">____<br />____</div><br /><div class="i1">(If the exact address is not known, give a description of the location such as the building name or the nearest street or intersection.)<br /><span class="em">b.</span> Name of city, town, or post office ____<br /><span class="em">c.</span> Is the work location inside the limits of that city or town?</div><br /><div class="i2">[] Yes<br />[] No, outside the city/town limits</div><br /><div class="i1"><span class="em">d.</span> Name of municipality or U.S. county ____<br /><span class="em">e.</span> Enter Puerto Rico or name of U.S. state or foreign country ____<br /><span class="em">f.</span> ZIP Code _ _ _ _ _</div><br /></svar> Puerto Rico 2000: Persons age 16+ who worked last week [discrepancies: none] This variable indicates a person's place of work: metropolitan status. 01 Worked outside the U.S. and Puerto Rico 14 Contains an entire MSA and no other territory 23 Both inside and outside central city 52 Outside central city 53 Both inside and outside central city 70 Contains both metropolitan and non-metropolitan territory 80 Contains only metropolitan territory in 2 or more partial and/or entire MSAs/PMSAs/CMSAs 90 Contains only nonmetropolitan territory 99 NIU (not in universe) Work Variables -- PERSON Poverty status, original 2000 PUMS Puerto Rico 2000: Unverifiable This variable indicates a person's poverty status, original 2000 PUMS. This is a 3-digit numeric variable with 0 implied decimal places Income Variables -- PERSON Retirement income <svar v="PR00A565" a="all"><span class="em">31.g. Retirement, survivor, or disability pensions </span>- Do not include Social Security.<br /><div class="i1">[] Yes<br />Annual amount - Dollars</div><br /><div class="i2">$_ _ _, _ _ _ .00</div><br /><div class="i1">[] No</div><br /></svar> Puerto Rico 2000: Persons age 15+ [discrepancies: none] This variable represents a person's retirement income. This is a 6-digit numeric variable. Codes283000 = Top code. 999999 = NIU (not in universe) Income Variables -- PERSON Super-PUMA of work Puerto Rico 2000: Persons age 16+ who worked last week [discrepancies: none] This variable indicates a pesron's super-PUMA of work. 000 NIU (not in universe) 001 1 100 100 200 200 300 300 400 400 500 500 600 600 700 700 800 800 Work Variables -- PERSON Occupation, 2000 basis <svar v="PR00A438 PR00A585 PR00A587 PR00A589 PR00A591 PR00A600" a="all"><span class="em">28. Occupation</span><br /><span class="em">28.a. What kind of work was this person doing?</span> (For example: registered nurse, personnel manager, supervisor of order department, auto mechanic, accountant)<br /><div class="i1">____<br />____<br />____</div><br /><span class="em">28.b. What were this person's most important activities or duties?</span> (For example, patient care, directing hiring policies, supervising order clerks, repairing automobiles, reconciling financial records)<br /><div class="i1">____<br />____<br />____</div><br /></svar> Puerto Rico 2000: Persons age 16+ who had worked within the previous five years; not new workers [discrepancies: none] This variable indicates a person's occupation, modal category assignment. 001 Chief executives 002 General and operations managers 003 Legislators 004 Advertising and promotions managers 005 Marketing and sales managers 006 Public relations managers 010 Administrative services managers 011 Computer and information systems managers 012 Financial managers 013 Human resources managers 014 Industrial production managers 015 Purchasing managers 016 Transportation, storage, and distribution managers 020 Farm, ranch, and other agricultural managers 021 Farmers and ranchers 022 Construction managers 023 Education administrators 030 Engineering managers 031 Food service managers 032 Funeral directors 033 Gaming managers 034 Lodging managers 035 Medical and health services managers 036 Natural sciences managers 040 Postmasters and mail superintendents 041 Property, real estate, and community association managers 042 Social and community service managers 043 Managers, all other 050 Agents and business managers of artists, performers, and athletes 051 Purchasing agents and buyers, farm products 052 Wholesale and retail buyers, except farm products 053 Purchasing agents, except wholesale, retail, and farm products 054 Claims adjusters, appraisers, examiners, and investigators 056 Compliance officers, except agriculture, construction, health and safety, and transportation 060 Cost estimators 062 Human resources, training, and labor relations specialists 070 Logisticians 071 Management analysts 072 Meeting and convention planners 073 Other business operations specialists 080 Accountants and auditors 081 Appraisers and assessors of real estate 082 Budget analysts 083 Credit analysts 084 Financial analysts 085 Personal financial advisors 086 Insurance underwriters 090 Financial examiners 091 Loan counselors and officers 093 Tax examiners, collectors, and revenue agents 094 Tax preparers 095 Financial specialists, all other 100 Computer scientists and systems analysts 101 Computer programmers 102 Computer software engineers 104 Computer support specialists 106 Database administrators 110 Network and computer systems administrators 111 Network systems and data communications analysts 120 Actuaries 121 Mathematicians 122 Operations research analysts 123 Statisticians 124 Miscellaneous mathematical science occupations 130 Architects, except naval 131 Surveyors, cartographers, and photogrammetrists 132 Aerospace engineers 133 Agricultural engineers 134 Biomedical engineers 135 Chemical engineers 136 Civil engineers 140 Computer hardware engineers 141 Electrical and electronic engineers 142 Environmental engineers 143 Industrial engineers, including health, and safety 144 Marine engineers and naval architects 145 Materials engineers 146 Mechanical engineers 150 Mining and geological engineers, including mining safety engineers 151 Nuclear engineers 152 Petroleum engineers 153 Engineers, all other 154 Drafters 155 Engineering technicians, except drafters 156 Surveying and mapping technicians 160 Agricultural and food scientists 161 Biological scientists 164 Conservation scientists and foresters 165 Medical scientists 170 Astronomers and physicists 171 Atmospheric and space scientists 172 Chemists and materials scientists 174 Environmental scientists and geoscientists 176 Physical scientists, all other 180 Economists 181 Market and survey researchers 182 Psychologists 183 Sociologists 184 Urban and regional planners 186 Miscellaneous social scientists and related workers 190 Agricultural and food science technicians 191 Biological technicians 192 Chemical technicians 193 Geological and petroleum technicians 194 Nuclear technicians 196 Other life, physical, and social science technicians 200 Counselors 201 Social workers 202 Miscellaneous community and social service specialists 204 Clergy 205 Directors, religious activities and education 206 Religious workers, all other 210 Lawyers 211 Judges, magistrates, and other judicial workers 214 Paralegals and legal assistants 215 Miscellaneous legal support workers 220 Postsecondary teachers 230 Preschool and kindergarten teachers 231 Elementary and middle school teachers 232 Secondary school teachers 233 Special education teachers 234 Other teachers and instructors 240 Archivists, curators, and museum technicians 243 Librarians 244 Library Technicians 254 Teacher assistants 255 Other education, training, and library workers 260 Artists and related workers 263 Designers 270 Actors 271 Producers and directors 272 Athletes, coaches, umpires, and related workers 274 Dancers and choreographers 275 Musicians, singers, and related workers 276 Entertainers and performers, sports and related workers, all other 280 Announcers 281 News analysts, reporters, and correspondents 282 Public relations specialists 283 Editors 284 Technical writers 285 Writers and authors 286 Miscellaneous media and communication workers 290 Broadcast and sound engineering technicians and radio operators 291 Photographers 292 Television, video, and motion picture camera operators and editors 296 Media and communication equipment workers, all other 300 Chiropractors 301 Dentists 303 Dietitians and nutritionists 304 Optometrists 305 Pharmacists 306 Physicians and surgeons 311 Physician assistants 312 Podiatrists 313 Registered nurses 314 Audiologists 315 Occupational therapists 316 Physical therapists 320 Radiation therapists 321 Recreational therapists 322 Respiratory therapists 323 Speech-language pathologists 324 Therapists, all other 325 Veterinarians 326 Health diagnosing and treating practitioners, all other 330 Clinical laboratory technologists and technicians 331 Dental hygienists 332 Diagnostic related technologists and technicians 340 Emergency medical technicians and paramedics 341 Health diagnosing and treating practitioner support technicians 350 Licensed practical and licensed vocational nurses 351 Medical records and health information technicians 352 Opticians, dispensing 353 Miscellaneous health technologists and technicians 354 Other healthcare practitioners and technical occupations 360 Nursing, psychiatric, and home health aides 361 Occupational therapist assistants and aides 362 Physical therapist assistants and aides 363 Massage therapists 364 Dental assistants 365 Medical assistants and other healthcare support occupations 370 First-line supervisors/managers of correctional officers 371 First-line supervisors/managers of police and detectives 372 First-line supervisors/managers of fire fighting and prevention workers 373 Supervisors, protective service workers, all other 374 Fire fighters 375 Fire inspectors 380 Bailiffs, correctional officers, and jailers 382 Detectives and criminal investigators 383 Fish and game wardens 384 Parking enforcement workers 385 Police and sheriff's patrol officers 386 Transit and railroad police 390 Animal control workers 391 Private detectives and investigators 392 Security guards and gaming surveillance officers 394 Crossing guards 395 Lifeguards and other protective service workers 400 Chefs and head cooks 401 First-line supervisors/managers of food preparation and serving workers 402 Cooks 403 Food preparation workers 404 Bartenders 405 Combined food preparation and serving workers, including fast food 406 Counter attendants, cafeteria, food concession, and coffee shop 411 Waiters and waitresses 412 Food servers, nonrestaurant 413 Dining room and cafeteria attendants and bartender helpers 414 Dishwashers 415 Hosts and hostesses, restaurant, lounge, and coffee shop 416 Food preparation and serving related workers, all other 420 First-line supervisors/managers of housekeeping and janitorial workers 421 First-line supervisors/managers of landscaping, lawn service, and groundskeeping workers 422 Janitors and building cleaners 423 Maids and housekeeping cleaners 424 Pest control workers 425 Grounds maintenance workers 430 First-line supervisors/managers of gaming workers 432 First-line supervisors/managers of personal service workers 434 Animal trainers 435 Nonfarm animal caretakers 440 Gaming services workers 441 Motion picture projectionists 442 Ushers, lobby attendants, and ticket takers 443 Miscellaneous entertainment attendants and related workers 446 Funeral service workers 450 Barbers 451 Hairdressers, hairstylists, and cosmetologists 452 Miscellaneous personal appearance workers 453 Baggage porters, bellhops, and concierges 454 Tour and travel guides 455 Transportation attendants 460 Child care workers 461 Personal and home care aides 462 Recreation and fitness workers 464 Residential advisors 465 Personal care and service workers, all other 470 First-line supervisors/managers of retail sales workers 471 First-line supervisors/managers of non-retail sales workers 472 Cashiers 474 Counter and rental clerks 475 Parts salespersons 476 Retail salespersons 480 Advertising sales agents 481 Insurance sales agents 482 Securities, commodities, and financial services sales agents 483 Travel agents 484 Sales representatives, services, all other 485 Sales representatives, wholesale and manufacturing 490 Models, demonstrators, and product promoters 492 Real estate brokers and sales agents 493 Sales engineers 494 Telemarketers 495 Door-to-door sales workers, news and street vendors, and related workers 496 Sales and related workers, all other 500 First-line supervisors/managers of office and administrative support workers 501 Switchboard operators, including answering service 502 Telephone operators 503 Communications equipment operators, all other 510 Bill and account collectors 511 Billing and posting clerks and machine operators 512 Bookkeeping, accounting, and auditing clerks 513 Gaming cage workers 514 Payroll and timekeeping clerks 515 Procurement clerks 516 Tellers 520 Brokerage clerks 521 Correspondence clerks 522 Court, municipal, and license clerks 523 Credit authorizers, checkers, and clerks 524 Customer service representatives 525 Eligibility interviewers, government programs 526 File Clerks 530 Hotel, motel, and resort desk clerks 531 Interviewers, except eligibility and loan 532 Library assistants, clerical 533 Loan interviewers and clerks 534 New accounts clerks 535 Order clerks 536 Human resources assistants, except payroll and timekeeping 540 Receptionists and information clerks 541 Reservation and transportation ticket agents and travel clerks 542 Information and record clerks, all other 550 Cargo and freight agents 551 Couriers and messengers 552 Dispatchers 553 Meter readers, utilities 554 Postal service clerks 555 Postal service mail carriers 556 Postal service mail sorters, processors, and processing machine operators 560 Production, planning, and expediting clerks 561 Shipping, receiving, and traffic clerks 562 Stock clerks and order fillers 563 Weighers, measurers, checkers, and samplers, recordkeeping 570 Secretaries and administrative assistants 580 Computer operators 581 Data entry keyers 582 Word processors and typists 583 Desktop publishers 584 Insurance claims and policy processing clerks 585 Mail clerks and mail machine operators, except postal service 586 Office clerks, general 590 Office machine operators, except computer 591 Proofreaders and copy markers 592 Statistical assistants 593 Office and administrative support workers, all other 600 First-line supervisors/managers of farming, fishing, and forestry workers 601 Agricultural inspectors 602 Animal breeders 604 Graders and sorters, agricultural products 605 Miscellaneous agricultural workers 610 Fishers and related fishing workers 611 Hunters and trappers 612 Forest and conservation workers 613 Logging workers 620 First-line supervisors/managers of construction trades and extraction workers 621 Boilermakers 622 Brickmasons, blockmasons, and stonemasons 623 Carpenters 624 Carpet, floor, and tile installers and finishers 625 Cement masons, concrete finishers, and terrazzo workers 626 Construction laborers 630 Paving, surfacing, and tamping equipment operators 631 Pile-driver operators 632 Operating engineers and other construction equipment operators 633 Drywall installers, ceiling tile installers, and tapers 635 Electricians 636 Glaziers 640 Insulation workers 642 Painters, construction, and maintenance 643 Paperhangers 644 Pipelayers, plumbers, pipefitters, and steamfitters 646 Plasterers and stucco masons 650 Reinforcing iron and rebar workers 651 Roofers 652 Sheet metal workers 653 Structural iron and steel workers 660 Helpers, construction trades 666 Construction and building inspectors 670 Elevator installers and repairers 671 Fence erectors 672 Hazardous materials removal workers 673 Highway maintenance workers 674 Rail-track laying and maintenance equipment operators 675 Septic tank servicers and sewer pipe cleaners 676 Miscellaneous construction and related workers 680 Derrick, rotary drill, and service unit operators, oil, gas, and mining 682 Earth drillers, except oil and gas 683 Explosives workers, ordnance handling experts, and blasters 684 Mining machine operators 691 Roof bolters, mining 692 Roustabouts, oil and gas 693 Helpers--extraction workers 694 Other extraction workers 700 First-line supervisors/managers of mechanics, installers, and repairers 701 Computer, automated teller, and office machine repairers 702 Radio and telecommunications equipment installers and repairers 703 Avionics technicians 704 Electric motor, power tool, and related repairers 705 Electrical and electronics installers and repairers, transportation equipment 710 Electrical and electronics repairers, industrial and utility 711 Electronic equipment installers and repairers, motor vehicles 712 Electronic home entertainment equipment installers and repairers 713 Security and fire alarm systems installers 714 Aircraft mechanics and service technicians 715 Automotive body and related repairers 716 Automotive glass installers and repairers 720 Automotive service technicians and mechanics 721 Bus and truck mechanics and diesel engine specialists 722 Heavy vehicle and mobile equipment service technicians and mechanics 724 Small engine mechanics 726 Miscellaneous vehicle and mobile equipment mechanics, installers, and repairers 730 Control and valve installers and repairers 731 Heating, air conditioning, and refrigeration mechanics and installers 732 Home appliance repairers 733 Industrial and refractory machinery mechanics 734 Maintenance and repair workers, general 735 Maintenance workers, machinery 736 Millwrights 741 Electrical power-line installers and repairers 742 Telecommunications line installers and repairers 743 Precision instrument and equipment repairers 751 Coin, vending, and amusement machine servicers and repairers 752 Commercial divers 754 Locksmiths and safe repairers 755 Manufactured building and mobile home installers 756 Riggers 760 Signal and track switch repairers 761 Helpers--installation, maintenance, and repair workers 762 Other installation, maintenance, and repair workers 770 First-line supervisors/managers of production and operating workers 771 Aircraft structure, surfaces, rigging, and systems assemblers 772 Electrical, electronics, and electromechanical assemblers 773 Engine and other machine assemblers 774 Structural metal fabricators and fitters 775 Miscellaneous assemblers and fabricators 780 Bakers 781 Butchers and other meat, poultry, and fish processing workers 783 Food and tobacco roasting, baking, and drying machine operators and tenders 784 Food batchmakers 785 Food cooking machine operators and tenders 790 Computer control programmers and operators 792 Extruding and drawing machine setters, operators, and tenders, metal and plastic 793 Forging machine setters, operators, and tenders, metal and plastic 794 Rolling machine setters, operators, and tenders, metal and plastic 795 Cutting, punching, and press machine setters, operators, and tenders, metal and plastic 796 Drilling and boring machine tool setters, operators, and tenders, metal and plastic 800 Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic 801 Lathe and turning machine tool setters, operators, and tenders, metal and plastic 802 Milling and planing machine setters, operators, and tenders, metal and plastic 803 Machinists 804 Metal furnace and kiln operators and tenders 806 Model makers and patternmakers, metal and plastic 810 Molders and molding machine setters, operators, and tenders, metal and plastic 812 Multiple machine tool setters, operators, and tenders, metal and plastic 813 Tool and die makers 814 Welding, soldering, and brazing workers 815 Heat treating equipment setters, operators, and tenders, metal and plastic 816 Lay-out workers, metal and plastic 820 Plating and coating machine setters, operators, and tenders, metal and plastic 821 Tool grinders, filers, and sharpeners 822 Metalworkers and plastic workers, all other 823 Bookbinders and bindery workers 824 Job printers 825 Prepress technicians and workers 826 Printing machine operators 830 Laundry and dry-cleaning workers 831 Pressers, textile, garment, and related materials 832 Sewing machine operators 833 Shoe and leather workers and repairers 834 Shoe machine operators and tenders 835 Tailors, dressmakers, and sewers 836 Textile bleaching and dyeing machine operators and tenders 840 Textile cutting machine setters, operators, and tenders 841 Textile knitting and weaving machine setters, operators, and tenders 842 Textile winding, twisting, and drawing out machine setters, operators, and tenders 843 Extruding and forming machine setters, operators, and tenders, synthetic and glass fibers 844 Fabric and apparel patternmakers 845 Upholsterers 846 Textile, apparel, and furnishings workers, all other 850 Cabinetmakers and bench carpenters 851 Furniture finishers 852 Model makers and patternmakers, wood 853 Sawing machine setters, operators, and tenders, wood 854 Woodworking machine setters, operators, and tenders, except sawing 855 Woodworkers, all other 860 Power plant operators, distributors, and dispatchers 861 Stationary engineers and boiler operators 862 Water and liquid waste treatment plant and system operators 863 Miscellaneous plant and system operators 864 Chemical processing machine setters, operators, and tenders 865 Crushing, grinding, polishing, mixing, and blending workers 871 Cutting workers 872 Extruding, forming, pressing, and compacting machine setters, operators, and tenders 873 Furnace, kiln, oven, drier, and kettle operators and tenders 874 Inspectors, testers, sorters, samplers, and weighers 875 Jewelers and precious stone and metal workers 876 Medical, dental, and ophthalmic laboratory technicians 880 Packaging and filling machine operators and tenders 881 Painting workers 883 Photographic process workers and processing machine operators 884 Semiconductor processors 885 Cementing and gluing machine operators and tenders 886 Cleaning, washing, and metal pickling equipment operators and tenders 890 Cooling and freezing equipment operators and tenders 891 Etchers and engravers 892 Molders, shapers, and casters, except metal and plastic 893 Paper goods machine setters, operators, and tenders 894 Tire builders 895 Helpers--production workers 896 Production workers, all other 900 Supervisors, transportation, and material moving workers 903 Aircraft pilots and flight engineers 904 Air traffic controllers and airfield operations specialists 911 Ambulance drivers and attendants, except emergency medical technicians 912 Bus drivers 913 Driver/sales workers and truck drivers 914 Taxi drivers and chauffeurs 915 Motor vehicle operators, all other 920 Locomotive engineers and operators 923 Railroad brake, signal, and switch operators 924 Railroad conductors and yardmasters 926 Subway, streetcar, and other rail transportation workers 930 Sailors and marine oilers 931 Ship and boat captains and operators 933 Ship engineers 934 Bridge and lock tenders 935 Parking lot attendants 936 Service station attendants 941 Transportation inspectors 942 Other transportation workers 950 Conveyor operators and tenders 951 Crane and tower operators 952 Dredge, excavating, and loading machine operators 956 Hoist and winch operators 960 Industrial truck and tractor operators 961 Cleaners of vehicles and equipment 962 Laborers and freight, stock, and material movers, hand 963 Machine feeders and offbearers 964 Packers and packagers, hand 965 Pumping station operators 972 Refuse and recyclable material collectors 973 Shuttle car operators 974 Tank car, truck, and ship loaders 975 Material moving workers, all other 980 Military officer special and tactical operations leaders/managers 981 First-line enlisted military supervisors/managers 982 Military enlisted tactical operations and air/weapons specialists and crew members 983 Military, rank not specified 992 Unemployed, not classified by occupation 999 NIU (not in universe) Work: Occupation Variables -- PERSON Industry, 2000 basis <svar v="PR00A438 PR00A441 PR00A442 PR00A443 PR00A586 PR00A588 PR00A590 PR00A592"><span class="em">27. Industry or Employer </span>- 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 the information for his/her last job or business since 1995.<br /></svar></p> <p><svar v="PR00A442 PR00A441 PR00A586 PR00A588 PR00A590 PR00A592" a="all"><span class="em">27.a. For whom did this person work? </span>If now on active duty in the Armed Forces, mark [X] this box [] <br />and print the branch of the Armed Forces _____<br />Name of company, business, or other employer<br /><div class="i1">____<br />____<br />____</div><br /><span class="em">27.b. What kind of business or industry was this? </span><br />Describe the activity at location where employed. (For example: hospital, newspaper publishing, mail order house, auto repair shop, bank)<br /><div class="i1">____<br />____<br />____</div><br /><span class="em">27.c. Is this mainly </span>- Mark [X] one box.<br /><div class="i1">[] Manufacturing<br />[] Wholesale trade<br />[] Retail trade<br />[] Other (agriculture, construction, service, government, etc.)</div><br /></svar> Puerto Rico 2000: Persons age 16+ who had worked within the previous five years; not new workers [discrepancies: none] This variable indicates a person's industry, 2000 basis, modal category assignment. 017 Crop production 018 Animal production 019 Forestry except logging 027 Logging 028 Fishing, hunting, and trapping 029 Support activities for agriculture and forestry 037 Oil and gas extraction 038 Coal mining 039 Metal ore mining 047 Nonmetallic mineral mining and quarrying 048 Not specified type of mining 049 Support activities for mining 057 Electric power generation, transmission and distribution 058 Natural gas distribution 059 Electric and gas, and other combinations 067 Water, steam, air conditioning, and irrigation systems 068 Sewage treatment facilities 069 Not specified utilities 077 Construction 107 Animal food, grain, and oilseed milling 108 Sugar and confectionery products 109 Fruit and vegetable preserving and specialty food manufacturing 117 Dairy product manufacturing 118 Animal slaughtering and processing 119 Retail bakeries 127 Bakeries, except retail 128 Seafood and other miscellaneous foods, n.e.c. 129 Not specified food industries 137 Beverage manufacturing 139 Tobacco manufacturing 147 Fiber, yarn, and thread mills 148 Fabric mills, except knitting 149 Textile and fabric finishing and coating mills 157 Carpets and rugs manufacturing 159 Textile product mills except carpets and rugs 167 Knitting mills 168 Cut and sew apparel manufacturing 169 Apparel accessories and other apparel manufacturing 177 Footwear manufacturing 179 Leather tanning and products, except footwear manufacturing 187 Pulp, paper, and paperboard mills 188 Paperboard containers and boxes 189 Miscellaneous paper and pulp products 199 Printing and related support activities 207 Petroleum refining 209 Miscellaneous petroleum and coal products 217 Resin, synthetic rubber and fibers, and filaments manufacturing 218 Agricultural chemical manufacturing 219 Pharmaceutical and medicine manufacturing 227 Paint, coating, and adhesives manufacturing 228 Soap, cleaning compound, and cosmetic manufacturing 229 Industrial and miscellaneous chemicals 237 Plastics product manufacturing 238 Tire manufacturing 239 Rubber products, except tires, manufacturing 247 Pottery, ceramics, and related products manufacturing 248 Structural clay product manufacturing 249 Glass and glass product manufacturing 257 Cement, concrete, lime, and gypsum product manufacturing 259 Miscellaneous nonmetallic mineral product manufacturing 267 Iron and steel mills and steel product manufacturing 268 Aluminum production and processing 269 Nonferrous metal, except aluminum, production and processing 277 Foundries 278 Metal forgings and stampings 279 Cutlery and hand tool manufacturing 287 Structural metals and tank and shipping container manufacturing 288 Machine shops, turned product, screw, nut, and bolt manufacturing 289 Coating, engraving, heat treating and allied activities 297 Ordnance 298 Miscellaneous fabricated metal products manufacturing 299 Not specified metal industries 307 Agricultural implement manufacturing 308 Construction mining and oil field machinery manufacturing 309 Commercial and service industry machinery manufacturing 317 Metalworking machinery manufacturing 318 Engines, turbines, and power transmission equipment manufacturing 319 Machinery manufacturing, n.e.c. 329 Not specified machinery manufacturing 336 Computer and peripheral equipment manufacturing 337 Communications, audio, and video equipment manufacturing 338 Navigational, measuring, electromedical, and control instruments manufacturing 339 Electronic component and product manufacturing, n.e.c. 347 Household appliance manufacturing 349 Electrical lighting, equipment, and supplies manufacturing, n.e.c. 357 Motor vehicles and motor vehicle equipment manufacturing 358 Aircraft and parts manufacturing 359 Aerospace product and parts manufacturing 367 Railroad rolling stock manufacturing 368 Ship and boat building 369 Other transportation equipment manufacturing 377 Sawmills and wood preservation 378 Veneer, plywood, and engineered wood products 379 Prefabricated wood buildings and mobile homes 387 Miscellaneous wood products 389 Furniture and related products manufacturing 396 Medical equipment and supplies manufacturing 397 Toys, amusement, and sporting goods manufacturing 398 Miscellaneous manufacturing, n.e.c. 399 Not specified manufacturing industries 407 Motor vehicles, parts and supplies 408 Furniture and home furnishings 409 Lumber and other construction materials 417 Professional and commercial equipment and supplies 418 Metals and minerals, except petroleum 419 Electrical goods 426 Hardware, plumbing and heating equipment, and supplies 427 Machinery, equipment, and supplies 428 Recyclable material 429 Miscellaneous durable goods 437 Paper and paper product wholesalers 438 Drugs, sundries, and chemical and allied product wholesalers 439 Apparel, fabrics, and notions wholesalers 447 Groceries and related product wholesalers 448 Farm product raw material wholesalers 449 Petroleum and petroleum product wholesalers 456 Alcoholic beverage wholesalers 457 Farm supplies wholesalers 458 Miscellaneous nondurable goods wholesalers 459 Not specified wholesale trade 467 Automobile dealers 468 Other motor vehicle dealers 469 Auto parts, accessories, and tire stores 477 Furniture and home furnishings stores 478 Household appliance stores 479 Radio, TV, and computer stores 487 Building material and supplies dealers 488 Hardware stores 489 Lawn and garden equipment and supplies stores 497 Grocery stores 498 Specialty food stores 499 Beer, wine, and liquor stores 507 Pharmacies and drug stores 508 Health and personal care, except drug stores 509 Gasoline stations 517 Clothing and accessories, except shoe stores 518 Shoe stores 519 Jewelry, luggage, and leather goods stores 527 Sporting goods, camera, and hobby and toy stores 528 Sewing, needlework and piece goods stores 529 Music stores 537 Book stores and news dealers 538 Department stores 539 Miscellaneous general merchandise stores 547 Retail florists 548 Office supplies and stationary stores 549 Used merchandise stores 557 Gift, novelty, and souvenir shops 558 Miscellaneous retail stores 559 Electronic shopping and mail-order houses 567 Vending machine operators 568 Fuel dealers 569 Other direct selling establishments 579 Not specified retail trade 607 Air transportation 608 Rail transportation 609 Water transportation 617 Truck transportation 618 Bus service and urban transit 619 Taxi and limousine service 627 Pipeline transportation 628 Scenic and sightseeing transportation 629 Services incidental to transportation 637 Postal Service 638 Couriers and messengers 639 Warehousing and storage 647 Newspaper publishers 648 Publishing, except newspapers and software 649 Software publishing 657 Motion pictures and video industries 659 Sound recording industries 667 Radio and television broadcasting and cable 668 Wired telecommunications carriers 669 Other telecommunication services 677 Libraries and archives 678 Other information services 679 Data processing services 687 Banking and related activities 688 Savings institutions, including credit unions 689 Non-depository credit and related activities 697 Securities, commodities, funds, trusts, and other financial investments 699 Insurance carriers and related activities 707 Real estate 708 Automotive equipment rental and leasing 717 Video tape and disk rental 718 Other consumer goods rental 719 Commercial, industrial, and other intangible assets rental and leasing 727 Legal services 728 Accounting, tax preparation, bookkeeping and payroll services 729 Architectural, engineering, and related services 737 Specialized design services 738 Computer systems design and related services 739 Management, scientific and technical consulting services 746 Scientific research and development services 747 Advertising and related services 748 Veterinary services 749 Other professional, scientific and technical services 757 Management of companies and enterprises 758 Employment services 759 Business support services 767 Travel arrangements and reservation services 768 Investigation and security services 769 Services to buildings and dwellings 777 Landscaping services 778 Other administrative, and other support services 779 Waste management and remediation services 786 Elementary and secondary schools 787 Colleges and universities, including junior colleges 788 Business, technical, and trade schools and training 789 Other schools, instruction, and educational services 797 Offices of physicians 798 Offices of dentists 799 Office of chiropractors 807 Offices of optometrists 808 Offices of other health practitioners 809 Outpatient care centers 817 Home health care services 818 Other health care services 819 Hospitals 827 Nursing care facilities 829 Residential care facilities, without nursing 837 Individual and family services 838 Community food and housing, and emergency services 839 Vocational rehabilitation services 847 Child day care services 856 Independent artists, performing arts, spectator sports, and related industries 857 Museums, art galleries, historical sites, and similar institutions 858 Bowling centers 859 Other amusement, gambling, and recreation industries 866 Traveler accommodation 867 Recreational vehicle parks and camps, and rooming and boarding houses 868 Restaurants and other food services 869 Drinking places, alcoholic beverages 877 Automotive repair and maintenance 878 Car washes 879 Electronic and precision equipment repair and maintenance 887 Commercial and industrial machinery and equipment repair and maintenance 888 Personal and household goods repair and maintenance 889 Footwear and leather goods repair 897 Barber shops 898 Beauty salons 899 Nail salons and other personal care services 907 Dry cleaning and laundry services 908 Funeral homes, cemeteries, and crematories 909 Other personal services 916 Religious organizations 917 Civic, social, advocacy organizations, and grantmaking and giving services 918 Labor unions 919 Business, professional, political, and similar organizations 929 Private households 937 Executive offices and legislative bodies 938 Public finance activities 939 Other general government and support 947 Justice, public order, and safety activities 948 Administration of human resource programs 949 Administration of environmental quality and housing programs 957 Administration of economic programs and space research 959 National security and international affairs 967 U.S. Army 968 U.S. Air Force 969 U.S. Navy 977 U.S. Marines 978 U.S. Coast Guard 979 U.S. Armed Forces, branch not specified 987 Military reserves or National Guard 992 Unemployed, with no work experience since 1995 999 NIU (not in universe) Work: Industry Variables -- PERSON Industry, 1990 basis <svar v="PR00A438 PR00A441 PR00A442 PR00A443 PR00A586 PR00A588 PR00A590 PR00A592"><span class="em">27. Industry or Employer </span>- 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 the information for his/her last job or business since 1995.<br /></svar></p> <p><svar v="PR00A442 PR00A441 PR00A586 PR00A588 PR00A590 PR00A592" a="all"><span class="em">27.a. For whom did this person work? </span>If now on active duty in the Armed Forces, mark [X] this box [] <br />and print the branch of the Armed Forces _____<br />Name of company, business, or other employer<br /><div class="i1">____<br />____<br />____</div><br /><span class="em">27.b. What kind of business or industry was this? </span><br />Describe the activity at location where employed. (For example: hospital, newspaper publishing, mail order house, auto repair shop, bank)<br /><div class="i1">____<br />____<br />____</div><br /><span class="em">27.c. Is this mainly </span>- Mark [X] one box.<br /><div class="i1">[] Manufacturing<br />[] Wholesale trade<br />[] Retail trade<br />[] Other (agriculture, construction, service, government, etc.)</div><br /></svar> Puerto Rico 2000: Persons age 16+ who worked in the last five years; and persons seeking work who last worked more than 5 years ago [discrepancies: none] This variable indicates a person's industry. 010 Agricultural production, crops 011 Agricultural production, livestock 012 Veterinary services 020 Landscape and horticultural services 030 Agricultural services, n.e.c. 031 Forestry 032 Fishing, hunting, and trapping 040 Metal mining 041 Coal mining 042 Oil and gas extraction 050 Nonmetallic mining and quarrying, except fuels 060 All construction 100 Meat products 101 Dairy products 102 Canned, frozen, and preserved fruits and vegetables 110 Grain mill products 111 Bakery products 112 Sugar and confectionery products 120 Beverage industries 121 Misc. food preparations and kindred products 122 Food industries, n.s. 130 Tobacco manufactures 132 Knitting mills 140 Dyeing and finishing textiles, except wool and knit goods 141 Carpets and rugs 142 Yarn, thread, and fabric mills 150 Miscellaneous textile mill products 151 Apparel and accessories, except knit 152 Miscellaneous fabricated textile products 160 Pulp, paper, and paperboard mills 161 Miscellaneous paper and pulp products 162 Paperboard containers and boxes 171 Newspaper publishing and printing 172 Printing, publishing, and allied industries, except newspapers 180 Plastics, synthetics, and resins 181 Drugs 182 Soaps and cosmetics 190 Paints, varnishes, and related products 191 Agricultural chemicals 192 Industrial and miscellaneous chemicals 200 Petroleum refining 201 Miscellaneous petroleum and coal products 210 Tires and inner tubes 211 Other rubber products, and plastics footwear and belting 212 Miscellaneous plastics products 220 Leather tanning and finishing 221 Footwear, except rubber and plastic 222 Leather products, except footwear 230 Logging 231 Sawmills, planing mills, and millwork 232 Wood buildings and mobile homes 241 Miscellaneous wood products 242 Furniture and fixtures 250 Glass and glass products 251 Cement, concrete, gypsum, and plaster products 252 Structural clay products 261 Pottery and related products 262 Misc. nonmetallic mineral and stone products 270 Blast furnaces, steelworks, rolling and finishing mills 271 Iron and steel foundries 272 Primary aluminum industries 280 Other primary metal industries 281 Cutlery, handtools, and general hardware 282 Fabricated structural metal products 290 Screw machine products 291 Metal forgings and stampings 292 Ordnance 300 Miscellaneous fabricated metal products 301 Metal industries, n.s. 310 Engines and turbines 311 Farm machinery and equipment 312 Construction and material handling machines 320 Metalworking machinery 321 Office and accounting machines 322 Computers and related equipment 331 Machinery, except electrical, n.e.c. 332 Machinery, n.s. 340 Household appliances 341 Radio, TV, and communication equipment 342 Electrical machinery, equipment, and supplies, n.e.c. 350 Electrical machinery, equipment, and supplies, n.s. 351 Motor vehicles and motor vehicle equipment 352 Aircraft and parts 360 Ship and boat building and repairing 361 Railroad locomotives and equipment 362 Guided missiles, space vehicles, and parts 370 Cycles and miscellaneous transportation equipment 371 Scientific and controlling instruments 372 Medical, dental, and optical instruments and supplies 380 Photographic equipment and supplies 381 Watches, clocks, and clockwork operated devices 390 Toys, amusement, and sporting goods 391 Miscellaneous manufacturing industries 392 Manufacturing industries, n.s. 400 Railroads 401 Bus service and urban transit 402 Taxicab service 410 Trucking service 411 Warehousing and storage 412 U.S. Postal Service 420 Water transportation 421 Air transportation 422 Pipe lines, except natural gas 432 Services incidental to transportation 440 Radio and television broadcasting and cable 441 Telephone communications 442 Telegraph and miscellaneous communications services 450 Electric light and power 451 Gas and steam supply systems 452 Electric and gas, and other combinations 470 Water supply and irrigation 471 Sanitary services 472 Utilities, n.s. 500 Motor vehicles and equipment 501 Furniture and home furnishings 502 Lumber and construction materials 510 Professional and commercial equipment and supplies 511 Metals and minerals, except petroleum 512 Electrical goods 521 Hardware, plumbing, and heating supplies 530 Machinery, equipment, and supplies 531 Scrap and waste materials 532 Miscellaneous wholesale, durable goods 540 Paper and paper products 541 Drugs, chemicals, and allied products 542 Apparel, fabrics, and notions 550 Groceries and related products 551 Farm-product raw materials 552 Petroleum products 560 Alcoholic beverages 561 Farm supplies 562 Miscellaneous wholesale, nondurable goods 571 Wholesale trade, n.s. 580 Lumber and building material retailing 581 Hardware stores 582 Retail nurseries and garden stores 590 Mobile home dealers 591 Department stores 592 Variety stores 600 Miscellaneous general merchandise stores 601 Grocery stores 602 Dairy products stores 610 Retail bakeries 611 Food stores, n.e.c. 612 Motor vehicle dealers 620 Auto and home supply stores 621 Gasoline service stations 622 Miscellaneous vehicle dealers 623 Apparel and accessory stores, except shoe 630 Shoe stores 631 Furniture and home furnishings stores 632 Household appliance stores 633 Radio, TV, and computer stores 640 Music stores 641 Eating and drinking places 642 Drug stores 650 Liquor stores 651 Sporting goods, bicycles, and hobby stores 652 Book and stationery stores 660 Jewelry stores 661 Gift, novelty, and souvenir shops 662 Sewing, needlework, and piece goods stores 663 Catalog and mail order houses 670 Vending machine operators 671 Direct selling establishments 672 Fuel dealers 681 Retail florists 682 Miscellaneous retail stores 691 Retail trade, n.s. 700 Banking 701 Savings institutions, including credit unions 702 Credit agencies, n.e.c. 710 Security, commodity brokerage, and investment companies 711 Insurance 712 Real estate, including real estate-insurance offices 721 Advertising 722 Services to dwellings and other buildings 731 Personnel supply services 732 Computer and data processing services 740 Detective and protective services 741 Business services, n.e.c. 742 Automotive rental and leasing, without drivers 750 Automobile parking and carwashes 751 Automotive repair and related services 752 Electrical repair shops 760 Miscellaneous repair services 761 Private households 762 Hotels and motels 770 Lodging places, except hotels and motels 771 Laundry, cleaning, and garment services 772 Beauty shops 780 Barber shops 781 Funeral service and crematories 782 Shoe repair shops 790 Dressmaking shops 791 Miscellaneous personal services 800 Theaters and motion pictures 801 Video tape rental 802 Bowling centers 810 Miscellaneous entertainment and recreation services 812 Offices and clinics of physicians 820 Offices and clinics of dentists 821 Offices and clinics of chiropractors 822 Offices and clinics of optometrists 830 Offices and clinics of health practitioners, n.e.c. 831 Hospitals 832 Nursing and personal care facilities 840 Health services, n.e.c. 841 Legal services 842 Elementary and secondary schools 850 Colleges and universities 851 Vocational schools 852 Libraries 860 Educational services, n.e.c. 861 Job training and vocational rehabilitation services 862 Child day care services 863 Family child care homes 870 Residential care facilities, without nursing 871 Social services, n.e.c. 872 Museums, art galleries, and zoos 873 Labor unions 880 Religious organizations 881 Membership organizations, n.e.c. 882 Engineering, architectural, and surveying services 890 Accounting, auditing, and bookkeeping services 891 Research, development, and testing services 892 Management and public relations services 893 Miscellaneous professional and related services 900 Executive and legislative offices 901 General government, n.e.c. 910 Justice, public order, and safety 921 Public finance, taxation, and monetary policy 922 Administration of human resources programs 930 Administration of environmental quality and housing programs 931 Administration of economic programs 932 National security and international affairs 940 Army 941 Air Force 942 Navy 950 Marines 951 Coast Guard 952 Armed Forces, branch not specified 960 Military Reserves or National Guard 992 Last worked 1984 or earlier 999 NIU (not in universe) Work: Industry Variables -- PERSON Flag for Hispan Puerto Rico 2000: All persons This variable indicates a flag for Hispan. 0 Not allocated 4 Allocated Person Imputation Flags Variables -- PERSON Race: Single race identification Puerto Rico 2000: All persons This variable indicates a person's race: Single race identification. 0 Undocumented Ethnicity and Language Variables -- PERSON Occupation, 1990 basis <svar v="PR00A438 PR00A585 PR00A587 PR00A589 PR00A591 PR00A600" a="all"><span class="em">28. Occupation</span><br /><span class="em">28.a. What kind of work was this person doing?</span> (For example: registered nurse, personnel manager, supervisor of order department, auto mechanic, accountant)<br /><div class="i1">____<br />____<br />____</div><br /><span class="em">28.b. What were this person's most important activities or duties?</span> (For example, patient care, directing hiring policies, supervising order clerks, repairing automobiles, reconciling financial records)<br /><div class="i1">____<br />____<br />____</div><br /></svar> Puerto Rico 2000: Persons age 16+ who worked in the last five years; and persons seeking work who last worked more than 5 years ago [discrepancies: none] This variable indicates a person's occupation. 003 Legislators 004 Chief executives and public administrators 007 Financial managers 008 Human resources and labor relations managers 013 Managers and specialists in marketing, advertising, and public relations 014 Managers in education and related fields 015 Managers of medicine and health occupations 016 Postmasters and mail superintendents 017 Managers of food-serving and lodging establishments 018 Managers of properties and real estate 019 Funeral directors 021 Managers of service organizations, n.e.c. 022 Managers and administrators, n.e.c. 023 Accountants and auditors 024 Insurance underwriters 025 Other financial specialists 026 Management analysts 027 Personnel, HR, training, and labor relations specialists 028 Purchasing agents and buyers, of farm products 029 Buyers, wholesale and retail trade 033 Purchasing managers, agents and buyers, n.e.c. 034 Business and promotion agents 035 Construction inspectors 036 Inspectors and compliance officers, outside construction 037 Management support occupations 043 Architects 044 Aerospace engineer 045 Metallurgical and materials engineers, variously phrased 047 Petroleum, mining, and geological engineers 048 Chemical engineers 053 Civil engineers 055 Electrical engineer 056 Industrial engineers 057 Mechanical engineers 059 Not-elsewhere-classified engineers 064 Computer systems analysts and computer scientists 065 Operations and systems researchers and analysts 066 Actuaries 067 Statisticians 068 Mathematicians and mathematical scientists 069 Physicists and astronomers 073 Chemists 074 Atmospheric and space scientists 075 Geologists 076 Physical scientists, n.e.c. 077 Agricultural and food scientists 078 Biological scientists 079 Foresters and conservation scientists 083 Medical scientists 084 Physicians 085 Dentists 086 Veterinarians 087 Optometrists 088 Podiatrists 089 Other health and therapy 095 Registered nurses 096 Pharmacists 097 Dietitians and nutritionists 098 Respiratory therapists 099 Occupational therapists 103 Physical therapists 104 Speech therapists 105 Therapists, n.e.c. 106 Physicians' assistants 113 Earth, environmental, and marine science instructors 114 Biological science instructors 115 Chemistry instructors 116 Physics instructors 118 Psychology instructors 119 Economics instructors 123 History instructors 125 Sociology instructors 127 Engineering instructors 128 Math instructors 139 Education instructors 145 Law instructors 147 Theology instructors 149 Home economics instructors 150 Humanities profs/instructors, college, nec 154 Subject instructors (HS/college) 155 Kindergarten and earlier school teachers 156 Primary school teachers 157 Secondary school teachers 158 Special education teachers 159 Teachers , n.e.c. 163 Vocational and educational counselors 164 Librarians 165 Archivists and curators 166 Economists, market researchers, and survey researchers 167 Psychologists 168 Sociologists 169 Social scientists, n.e.c. 173 Urban and regional planners 174 Social workers 175 Recreation workers 176 Clergy and religious workers 178 Lawyers 179 Judges 183 Writers and authors 184 Technical writers 185 Designers 186 Musician or composer 187 Actors, directors, producers 188 Art makers: painters, sculptors, craft-artists, and print-makers 189 Photographers 193 Dancers 194 Art/entertainment performers and related 195 Editors and reporters 198 Announcers 199 Athletes, sports instructors, and officials 200 Professionals, n.e.c. 203 Clinical laboratory technologies and technicians 204 Dental hygenists 205 Health record tech specialists 206 Radiologic tech specialists 207 Licensed practical nurses 208 Health technologists and technicians, n.e.c. 213 Electrical and electronic (engineering) technicians 214 Engineering technicians, n.e.c. 215 Mechanical engineering technicians 217 Drafters 218 Surveyors, cartographers, mapping scientists and technicians 223 Biological technicians 224 Chemical technicians 225 Other science technicians 226 Airplane pilots and navigators 227 Air traffic controllers 228 Broadcast equipment operators 229 Computer software developers 233 Programmers of numerically controlled machine tools 234 Legal assistants, paralegals, legal support, etc 235 Technicians, n.e.c. 243 Supervisors and proprietors of sales jobs 253 Insurance sales occupations 254 Real estate sales occupations 255 Financial services sales occupations 256 Advertising and related sales jobs 258 Sales engineers 274 Salespersons, n.e.c. 275 Retail sales clerks 276 Cashiers 277 Door-to-door sales, street sales, and news vendors 283 Sales demonstrators / promoters / models 290 Sales workers--allocated 303 Office supervisors 308 Computer and peripheral equipment operators 313 Secretaries 314 Stenographers 315 Typists 316 Interviewers, enumerators, and surveyors 317 Hotel clerks 318 Transportation ticket and reservation agents 319 Receptionists 323 Information clerks, nec 326 Correspondence and order clerks 328 Human resources clerks, except payroll and timekeeping 329 Library assistants 335 File clerks 336 Records clerks 337 Bookkeepers and accounting and auditing clerks 338 Payroll and timekeeping clerks 343 Cost and rate clerks (financial records processing) 344 Billing clerks and related financial records processing 345 Duplication machine operators / office machine operators 346 Mail and paper handlers 347 Office machine operators, n.e.c. 348 Telephone operators 349 Other telecom operators 354 Postal clerks, excluding mail carriers 355 Mail carriers for postal service 356 Mail clerks, outside of post office 357 Messengers 359 Dispatchers 361 Inspectors, n.e.c. 364 Shipping and receiving clerks 365 Stock and inventory clerks 366 Meter readers 368 Weighers, measurers, and checkers 373 Material recording, scheduling, production, planning, and expediting clerks 375 Insurance adjusters, examiners, and investigators 376 Customer service reps, investigators and adjusters, except insurance 377 Eligibility clerks for government programs; social welfare 378 Bill and account collectors 379 General office clerks 383 Bank tellers 384 Proofreaders 385 Data entry keyers 386 Statistical clerks 387 Teacher's aides 389 Administrative support jobs, n.e.c. 390 Professional, technical, and kindred workers--allocated (1990 internal census) 391 Clerical and kindred workers--allocated (1990 internal census) 405 Housekeepers, maids, butlers, stewards, and lodging quarters cleaners 407 Private household cleaners and servants 408 Private household workers--allocated (1990 internal census) 415 Supervisors of guards 417 Fire fighting, prevention, and inspection 418 Police, detectives, and private investigators 423 Other law enforcement: sheriffs, bailiffs, correctional institution officers 425 Crossing guards and bridge tenders 426 Guards, watchmen, doorkeepers 427 Protective services, n.e.c. 434 Bartenders 435 Waiter/waitress 436 Cooks, variously defined 438 Food counter and fountain workers 439 Kitchen workers 443 Waiter's assistant 444 Misc food prep workers 445 Dental assistants 446 Health aides, except nursing 447 Nursing aides, orderlies, and attendants 448 Supervisors of cleaning and building service 453 Janitors 454 Elevator operators 455 Pest control occupations 456 Supervisors of personal service jobs, n.e.c. 457 Barbers 458 Hairdressers and cosmetologists 459 Recreation facility attendants 461 Guides 462 Ushers 463 Public transportation attendants and inspectors 464 Baggage porters 465 Welfare service aides 468 Child care workers 469 Personal service occupations, n.e.c. 473 Farmers (owners and tenants) 474 Horticultural specialty farmers 475 Farm managers, except for horticultural farms 476 Managers of horticultural specialty farms 479 Farm workers 480 Farm laborers and farm foreman--allocated (1990 internal census) 483 Marine life cultivation workers 484 Nursery farming workers 485 Supervisors of agricultural occupations 486 Gardeners and groundskeepers 487 Animal caretakers except on farms 488 Graders and sorters of agricultural products 489 Inspectors of agricultural products 496 Timber, logging, and forestry workers 498 Fishers, hunters, and kindred 503 Supervisors of mechanics and repairers 505 Automobile mechanics 507 Bus, truck, and stationary engine mechanics 508 Aircraft mechanics 509 Small engine repairers 514 Auto body repairers 516 Heavy equipment and farm equipment mechanics 518 Industrial machinery repairers 519 Machinery maintenance occupations 523 Repairers of industrial electrical equipment 525 Repairers of data processing equipment 526 Repairers of household appliances and power tools 527 Telecom and line installers and repairers 533 Repairers of electrical equipment, n.e.c. 534 Heating, air conditioning, and refigeration mechanics 535 Precision makers, repairers, and smiths 536 Locksmiths and safe repairers 538 Office machine repairers and mechanics 539 Repairers of mechanical controls and valves 543 Elevator installers and repairers 544 Millwrights 549 Mechanics and repairers, n.e.c. 558 Supervisors of construction work 563 Masons, tilers, and carpet installers 567 Carpenters 573 Drywall installers 575 Electricians 577 Electric power installers and repairers 579 Painters, construction and maintenance 583 Paperhangers 584 Plasterers 585 Plumbers, pipe fitters, and steamfitters 588 Concrete and cement workers 589 Glaziers 593 Insulation workers 594 Paving, surfacing, and tamping equipment operators 595 Roofers and slaters 596 Sheet metal duct installers 597 Structural metal workers 598 Drillers of earth 599 Construction trades, n.e.c. 614 Drillers of oil wells 615 Explosives workers 616 Miners 617 Other mining occupations 628 Production supervisors or foremen 634 Tool and die makers and die setters 637 Machinists 643 Boilermakers 644 Precision grinders and filers 645 Patternmakers and model makers 646 Lay-out workers 649 Engravers 653 Tinsmiths, coppersmiths, and sheet metal workers 657 Cabinetmakers and bench carpenters 658 Furniture and wood finishers 659 Other precision woodworkers 666 Dressmakers and seamstresses 667 Tailors 668 Upholsterers 669 Shoe repairers 674 Other precision apparel and fabric workers 675 Hand molders and shapers, except jewelers 677 Optical goods workers 678 Dental laboratory and medical appliance technicians 679 Bookbinders 684 Other precision and craft workers 686 Butchers and meat cutters 687 Bakers 688 Batch food makers 693 Adjusters and calibrators 694 Water and sewage treatment plant operators 695 Power plant operators 696 Plant and system operators, stationary engineers 699 Other plant and system operators 703 Lathe, milling, and turning machine operatives 706 Punching and stamping press operatives 707 Rollers, roll hands, and finishers of metal 708 Drilling and boring machine operators 709 Grinding, abrading, buffing, and polishing workers 713 Forge and hammer operators 717 Fabricating machine operators, n.e.c. 719 Molders, and casting machine operators 723 Metal platers 724 Heat treating equipment operators 726 Wood lathe, routing, and planing machine operators 727 Sawing machine operators and sawyers 728 Shaping and joining machine operator (woodworking) 729 Nail and tacking machine operators (woodworking) 733 Other woodworking machine operators 734 Printing machine operators, n.e.c. 735 Photoengravers and lithographers 736 Typesetters and compositors 738 Winding and twisting textile/apparel operatives 739 Knitters, loopers, and toppers textile operatives 743 Textile cutting machine operators 744 Textile sewing machine operators 745 Shoemaking machine operators 747 Pressing machine operators (clothing) 748 Laundry workers 749 Misc textile machine operators 753 Cementing and gluing 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 765 Paper folding machine operators 766 Furnace, kiln, and oven operators, apart from food 768 Crushing and grinding machine operators 769 Slicing and cutting machine operators 773 Motion picture projectionists 774 Photographic process workers 779 Machine operators, n.e.c. 783 Welders and metal cutters 784 Solderers 785 Assemblers of electrical equipment 789 Hand painting, coating, and decorating occupations 796 Production checkers and inspectors 799 Graders and sorters in manufacturing 803 Supervisors of motor vehicle transportation 804 Truck, delivery, and tractor drivers 808 Bus drivers 809 Taxi cab drivers and chauffeurs 813 Parking lot attendants 815 Transport equipment operatives--allocated 823 Railroad conductors and yardmasters 824 Locomotive operators (engineers and firemen) 825 Railroad brake, coupler, and switch operators 829 Ship crews and marine engineers 834 Water transport infrastructure tenders and crossing guards 844 Operating engineers of construction equipment 848 Crane, derrick, winch, and hoist operators 853 Excavating and loading machine operators 859 Misc material moving occupations 865 Helpers, constructions 866 Helpers, surveyors 869 Construction laborers 874 Production helpers 875 Garbage and recyclable material collectors 876 Materials movers: stevedores and longshore workers 877 Stock handlers 878 Machine feeders and offbearers 883 Freight, stock, and materials handlers 885 Garage and service station related occupations 887 Vehicle washers and equipment cleaners 888 Packers and packagers by hand 889 Laborers outside construction 890 Laborers, except farm--allocated 905 Military 991 Unemployed 999 NIU (not in universe) Work: Occupation Variables -- PERSON Tribe Puerto Rico 2000: Persons belonging to an american indian tribe [discrepancies: none] This variable indicates a person's tribe. 000000 NIU (not in universe) 100200 Alaska Native 200800 Blackfoot 201900 Cherokee 204700 Iroquois 205701 Central American Indian 207500 Navajo 209600 Pueblo 213200 American Indian, tribe not elsewhere classified 213400 All other specified American Indian tribe combinations Ethnicity and Language Variables -- PERSON Year of immigration to Puerto Rico <svar v="PR00A622" a="all"><span class="em">14. When did this person come to live in Puerto Rico? </span>Print numbers in boxes.<br /><div class="i1">_ _ _ _ Year</div><br /></svar> Puerto Rico 2000: Foreign-born persons [discrepancies: none] This variable represents the year a person immigrated to Puerto Rico. 0000 NIU (not in universe) 1910 1910 or earlier 1912 1911-1914 1917 1915-1919 1922 1922 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1932 1930-1934 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 Nativity and Birthplace Variables -- PERSON