1990 Census of Population and HousingDDI_PRI_1990_PHC_v01_M_v7.6_A_IPUMSIPUMS
Integrated Public Use Microdata Series (IPUMS) International
IPUMSApril 1, 2025IPUMS, 50 Willey Hall, 225 - 19th Avenue South, Minneapolis, MN 55455Organization for Economic Co-operation and Development, Development Co-operation DirectorateJADE#:60525;MEHLB(2010)12IPUMSVersion 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.
1990 Census of Population and Housing - IPUMS SubsetPHC pr1990a (IPUMS Harmonized Subset)PRI_1990_PHC_v01_M_v7.6_A_IPUMSU.S. Census BureauIPUMS(c) Copyright 1990, U.S. Census Bureau and Minnesota Population CenterU.S. Census BureauPopulation and Housing Census [hh/popcen]IPUMS InternationalDOI:10.18128/D020.V7.6Version 7.6. The datasets contain selected variables from the original microdata plus harmonized variables from the IPUMS-International database.Demographic Variables -- PERSONDwelling Characteristics Variables -- HOUSEHOLDAppliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDNativity and Birthplace Variables -- PERSONFertility and Mortality Variables -- PERSONWork Variables -- PERSONTechnical Household Variables -- HOUSEHOLDDisability Variables -- PERSONEducation Variables -- PERSONConstructed Family Interrelationship Variables -- PERSONUtilities Variables -- HOUSEHOLDGeography: O-Z Variables -- HOUSEHOLDGroup Quarters Variables -- HOUSEHOLDConstructed Household Variables -- HOUSEHOLDIncome Variables -- PERSONMigration: Global Variables -- PERSONHousehold Economic Variables -- HOUSEHOLDTechnical Person Variables -- PERSONGeography: Global Variables -- HOUSEHOLDEthnicity and Language Variables -- PERSONTechnical Household Variables -- HOUSEHOLDTechnical Person Variables -- PERSONGeography: O-Z Variables -- HOUSEHOLDGroup Quarters Variables -- HOUSEHOLDHousehold Economic Variables -- HOUSEHOLDOther Household Variables -- HOUSEHOLDDwelling Characteristics Variables -- HOUSEHOLDUtilities Variables -- HOUSEHOLDAppliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDConstructed Household Variables -- HOUSEHOLDHousehold Imputation Flags Variables -- HOUSEHOLDHousehold Imputation Flags Variables -- HOUSEHOLDTechnical Person Variables -- PERSONConstructed Family Interrelationship Variables -- PERSONDemographic Variables -- PERSONNativity and Birthplace Variables -- PERSONEthnicity and Language Variables -- PERSONEducation Variables -- PERSONWork Variables -- PERSONWork: Occupation Variables -- PERSONWork: Industry Variables -- PERSONIncome Variables -- PERSONMigration: Global Variables -- PERSONDisability Variables -- PERSONOther Person Variables -- PERSONPerson Imputation Flags Variables -- PERSONPerson Imputation Flags Variables -- PERSONWork Variables -- PERSONIncome Variables -- PERSONWork: Occupation Variables -- PERSONDemographic Variables -- PERSONOther Person Variables -- PERSONMigration: Global Variables -- PERSONEducation Variables -- PERSONEthnicity and Language Variables -- PERSONNativity and Birthplace Variables -- PERSONFertility and Mortality Variables -- PERSONApril 1, 1990Puerto RicoPUMAS (Public Use Microdata Areas (PUMAs) containing 100,000 or more residentsPersons, households, and dwellings
UNITS IDENTIFIED:
- Dwellings: yes
- Vacant Units: Yes
- Households: yes
- Individuals: yes
- Group quarters: yes
UNIT DESCRIPTIONS:
- Dwellings: No
- Households: Dwelling places with fewer than ten persons unrelated to a household head, excluding institutions and transient quarters.
- Group quarters: Institutions, transient quarters, and dwelling places with ten or more persons unrelated to a household head.Residents of Puerto Rico Population and Housing Census [hh/popcen]Additional notes on a sample that is part of this study: Puerto Rico 1990
MICRODATA SOURCE: U.S. Census Bureau
SAMPLE SIZE (person records): 177655.
SAMPLE DESIGN: 1-in-20 national random sample of the population drawn by the U.S. Census Bureau
Face-to-face [f2f]The 1990 census used a single long-form questionnaire completed by one-half of persons in places with a population under 2,500, one-sixth of persons in other tracts and block numbering areas with fewer than 2,000 housing units, and one-eighth of all other areas. Overall, about one-sixth of housing units completed a long form.de jure, CENSUS DAY: April 1, 1990Weights 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 BureauSteven 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. 1990 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 pr1990a, 2025PRI1990_PHC-H-H.datHousehold records61,698asciiMinnesota Population CenterVersion 7.5, IPUMS samplePRI1990_PHC-P-H.datPerson records177655asciiMinnesota Population CenterVersion 7.5, IPUMS sampleRecord typeRECTYPE 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.HHouseholdPPersonTechnical Household Variables -- HOUSEHOLDCountryCOUNTRY 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).032Argentina051Armenia040Austria050Bangladesh112Belarus204Benin068Bolivia072Botswana076Brazil854Burkina Faso116Cambodia120Cameroon124Canada152Chile156China170Colombia188Costa Rica192Cuba208Denmark214Dominican Republic218Ecuador818Egypt222El Salvador231Ethiopia242Fiji246Finland250France276Germany288Ghana300Greece320Guatemala324Guinea332Haiti340Honduras348Hungary352Iceland356India360Indonesia364Iran368Iraq372Ireland376Israel380Italy384Côte d'Ivoire388Jamaica400Jordan404Kenya417Kyrgyz Republic418Laos426Lesotho430Liberia454Malawi458Malaysia466Mali480Mauritius484Mexico496Mongolia504Morocco508Mozambique104Myanmar524Nepal528Netherlands558Nicaragua566Nigeria578Norway586Pakistan275Palestine591Panama598Papua New Guinea600Paraguay604Peru608Philippines616Poland620Portugal630Puerto Rico642Romania643Russia646Rwanda662Saint Lucia686Senegal694Sierra Leone703Slovak Republic705Slovenia710South Africa728South Sudan724Spain729Sudan740Suriname752Sweden756Switzerland834Tanzania764Thailand768Togo780Trinidad and Tobago792Turkey800Uganda804Ukraine826United Kingdom840United States858Uruguay862Venezuela704Vietnam894Zambia716ZimbabweTechnical Household Variables -- HOUSEHOLDYearYEAR 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.170317031729172917871787180118011819181918451845184818481850185018511851185218521860186018611861186518651868186818701870187118711875187518801880188118811885188518901890189118911900190019011901191019101911191119601960196119611962196219631963196419641966196619681968196919691970197019711971197219721973197319741974197519751976197619771977197819781979197919801980198119811982198219831983198419841985198519861986198719871989198919901990199119911992199219931993199419941995199519961996199719971998199819991999200020002001200120022002200320032004200420052005200620062007200720082008200920092010201020112011201220122013201320142014201520152016201620172017201820182019201920202020Technical Household Variables -- HOUSEHOLDIPUMS sample identifierSAMPLE 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).
032197001Argentina 1970032198001Argentina 1980032199101Argentina 1991032200101Argentina 2001032201001Argentina 2010051200101Armenia 2001051201101Armenia 2011040197101Austria 1971040198101Austria 1981040199101Austria 1991040200101Austria 2001040201101Austria 2011050199101Bangladesh 1991050200101Bangladesh 2001050201101Bangladesh 2011112199901Belarus 1999112200901Belarus 2009204197901Benin 1979204199201Benin 1992204200201Benin 2002204201301Benin 2013068197601Bolivia 1976068199201Bolivia 1992068200101Bolivia 2001068201201Bolivia 2012072198101Botswana 1981072199101Botswana 1991072200101Botswana 2001072201101Botswana 2011076196001Brazil 1960076197001Brazil 1970076198001Brazil 1980076199101Brazil 1991076200001Brazil 2000076201001Brazil 2010854198501Burkina Faso 1985854199601Burkina Faso 1996854200601Burkina Faso 2006116199801Cambodia 1998116200401Cambodia 2004116200801Cambodia 2008116201301Cambodia 2013116201901Cambodia 2019120197601Cameroon 1976120198701Cameroon 1987120200501Cameroon 2005124185201Canada 1852124187101Canada 1871124188101Canada 1881124189101Canada 1891124190101Canada 1901124191101Canada 1911124197101Canada 1971124198101Canada 1981124199101Canada 1991124200101Canada 2001124201101Canada 2011152196001Chile 1960152197001Chile 1970152198201Chile 1982152199201Chile 1992152200201Chile 2002152201701Chile 2017156198201China 1982156199001China 1990156200001China 2000170196401Colombia 1964170197301Colombia 1973170198501Colombia 1985170199301Colombia 1993170200501Colombia 2005188196301Costa Rica 1963188197301Costa Rica 1973188198401Costa Rica 1984188200001Costa Rica 2000188201101Costa Rica 2011192200201Cuba 2002192201201Cuba 2012208178701Denmark 1787208180101Denmark 1801208184501Denmark 1845208188001Denmark 1880208188501Denmark 1885214196001Dominican Republic 1960214197001Dominican Republic 1970214198101Dominican Republic 1981214200201Dominican Republic 2002214201001Dominican Republic 2010218196201Ecuador 1962218197401Ecuador 1974218198201Ecuador 1982218199001Ecuador 1990218200101Ecuador 2001218201001Ecuador 2010818184801Egypt 1848818186801Egypt 1868818198601Egypt 1986818199601Egypt 1996818200601Egypt 2006222199201El Salvador 1992222200701El Salvador 2007231198401Ethiopia 1984231199401Ethiopia 1994231200701Ethiopia 2007242196601Fiji 1966242197601Fiji 1976242198601Fiji 1986242199601Fiji 1996242200701Fiji 2007242201401Fiji 2014246201001Finland 2010250196201France 1962250196801France 1968250197501France 1975250198201France 1982250199001France 1990250199901France 1999250200601France 2006250201101France 2011276181901Germany 1819 (Mecklenburg)276197001Germany 1970 (West)276197101Germany 1971 (East)276198101Germany 1981 (East)276198701Germany 1987 (West)288198401Ghana 1984288200001Ghana 2000288201001Ghana 2010300197101Greece 1971300198101Greece 1981300199101Greece 1991300200101Greece 2001300201101Greece 2011320196401Guatemala 1964320197301Guatemala 1973320198101Guatemala 1981320199401Guatemala 1994320200201Guatemala 2002324198301Guinea 1983324199601Guinea 1996324201401Guinea 2014332197101Haiti 1971332198201Haiti 1982332200301Haiti 2003340196101Honduras 1961340197401Honduras 1974340198801Honduras 1988340200101Honduras 2001340201301Honduras 2013348197001Hungary 1970348198001Hungary 1980348199001Hungary 1990348200101Hungary 2001348201101Hungary 2011352170301Iceland 1703352172901Iceland 1729352180101Iceland 1801352190101Iceland 1901352191001Iceland 1910356198341India 1983356198741India 1987356199341India 1993356199941India 1999356200441India 2004356200941India 2009360197101Indonesia 1971360197601Indonesia 1976360198001Indonesia 1980360198501Indonesia 1985360199001Indonesia 1990360199501Indonesia 1995360200001Indonesia 2000360200501Indonesia 2005360201001Indonesia 2010364200601Iran 2006364201101Iran 2011368199701Iraq 1997372190101Ireland 1901372191101Ireland 1911372197101Ireland 1971372197901Ireland 1979372198101Ireland 1981372198601Ireland 1986372199101Ireland 1991372199601Ireland 1996372200201Ireland 2002372200601Ireland 2006372201101Ireland 2011372201601Ireland 2016376197201Israel 1972376198301Israel 1983376199501Israel 1995376200801Israel 2008380200101Italy 2001380201101Italy 2011380201121Italy 2011 Q1 LFS380201221Italy 2012 Q1 LFS380201321Italy 2013 Q1 LFS380201421Italy 2014 Q1 LFS380201521Italy 2015 Q1 LFS380201621Italy 2016 Q1 LFS380201721Italy 2017 Q1 LFS380201821Italy 2018 Q1 LFS380201921Italy 2019 Q1 LFS380202021Italy 2020 Q1 LFS384198801Côte d'Ivoire 1988384199801Côte d'Ivoire 1998388198201Jamaica 1982388199101Jamaica 1991388200101Jamaica 2001400200401Jordan 2004404196901Kenya 1969404197901Kenya 1979404198901Kenya 1989404199901Kenya 1999404200901Kenya 2009404201901Kenya 2019417199901Kyrgyz Republic 1999417200901Kyrgyz Republic 2009418199501Laos 1995418200501Laos 2005418201501Laos 2015426199601Lesotho 1996426200601Lesotho 2006430197401Liberia 1974430200801Liberia 2008454198701Malawi 1987454199801Malawi 1998454200801Malawi 2008454201801Malawi 2018458197001Malaysia 1970458198001Malaysia 1980458199101Malaysia 1991458200001Malaysia 2000466198701Mali 1987466199801Mali 1998466200901Mali 2009480199001Mauritius 1990480200001Mauritius 2000480201101Mauritius 2011484196001Mexico 1960484197001Mexico 1970484199001Mexico 1990484199501Mexico 1995484200001Mexico 2000484200501Mexico 2005484201001Mexico 2010484201501Mexico 2015484202001Mexico 2020484200521Mexico 2005 Q1 LFS484200522Mexico 2005 Q2 LFS484200523Mexico 2005 Q3 LFS484200524Mexico 2005 Q4 LFS484200621Mexico 2006 Q1 LFS484200622Mexico 2006 Q2 LFS484200623Mexico 2006 Q3 LFS484200624Mexico 2006 Q4 LFS484200721Mexico 2007 Q1 LFS484200722Mexico 2007 Q2 LFS484200723Mexico 2007 Q3 LFS484200724Mexico 2007 Q4 LFS484200821Mexico 2008 Q1 LFS484200822Mexico 2008 Q2 LFS484200823Mexico 2008 Q3 LFS484200824Mexico 2008 Q4 LFS484200921Mexico 2009 Q1 LFS484200922Mexico 2009 Q2 LFS484200923Mexico 2009 Q3 LFS484200924Mexico 2009 Q4 LFS484201021Mexico 2010 Q1 LFS484201022Mexico 2010 Q2 LFS484201023Mexico 2010 Q3 LFS484201024Mexico 2010 Q4 LFS484201121Mexico 2011 Q1 LFS484201122Mexico 2011 Q2 LFS484201123Mexico 2011 Q3 LFS484201124Mexico 2011 Q4 LFS484201221Mexico 2012 Q1 LFS484201222Mexico 2012 Q2 LFS484201223Mexico 2012 Q3 LFS484201224Mexico 2012 Q4 LFS484201321Mexico 2013 Q1 LFS484201322Mexico 2013 Q2 LFS484201323Mexico 2013 Q3 LFS484201324Mexico 2013 Q4 LFS484201421Mexico 2014 Q1 LFS484201422Mexico 2014 Q2 LFS484201423Mexico 2014 Q3 LFS484201424Mexico 2014 Q4 LFS484201521Mexico 2015 Q1 LFS484201522Mexico 2015 Q2 LFS484201523Mexico 2015 Q3 LFS484201524Mexico 2015 Q4 LFS484201621Mexico 2016 Q1 LFS484201622Mexico 2016 Q2 LFS484201623Mexico 2016 Q3 LFS484201624Mexico 2016 Q4 LFS484201721Mexico 2017 Q1 LFS484201722Mexico 2017 Q2 LFS484201723Mexico 2017 Q3 LFS484201724Mexico 2017 Q4 LFS484201821Mexico 2018 Q1 LFS484201822Mexico 2018 Q2 LFS484201823Mexico 2018 Q3 LFS484201824Mexico 2018 Q4 LFS484201921Mexico 2019 Q1 LFS484201922Mexico 2019 Q2 LFS484201923Mexico 2019 Q3 LFS484201924Mexico 2019 Q4 LFS484202021Mexico 2020 Q1 LFS484202023Mexico 2020 Q3 LFS496198901Mongolia 1989496200001Mongolia 2000496201001Mongolia 2010496202001Mongolia 2020504198201Morocco 1982504199401Morocco 1994504200401Morocco 2004504201401Morocco 2014508199701Mozambique 1997508200701Mozambique 2007508201701Mozambique 2017104201401Myanmar 2014524200101Nepal 2001524201101Nepal 2011528196001Netherlands 1960528197101Netherlands 1971528200101Netherlands 2001528201101Netherlands 2011558197101Nicaragua 1971558199501Nicaragua 1995558200501Nicaragua 2005566200621Nigeria 2006566200721Nigeria 2007566200821Nigeria 2008566200921Nigeria 2009566201021Nigeria 2010578180101Norway 1801578186501Norway 1865578187501Norway 1875578190001Norway 1900578191001Norway 1910586197301Pakistan 1973586198101Pakistan 1981586199801Pakistan 1998275199701Palestine 1997275200701Palestine 2007275201701Palestine 2017591196001Panama 1960591197001Panama 1970591198001Panama 1980591199001Panama 1990591200001Panama 2000591201001Panama 2010598198001Papua New Guinea 1980598199001Papua New Guinea 1990598200001Papua New Guinea 2000600196201Paraguay 1962600197201Paraguay 1972600198201Paraguay 1982600199201Paraguay 1992600200201Paraguay 2002604199301Peru 1993604200701Peru 2007604201701Peru 2017608199721Philippines 1997 Q1 LFS608199722Philippines 1997 Q2 LFS608199723Philippines 1997 Q3 LFS608199724Philippines 1997 Q4 LFS608199821Philippines 1998 Q1 LFS608199822Philippines 1998 Q2 LFS608199823Philippines 1998 Q3 LFS608199824Philippines 1998 Q4 LFS608199921Philippines 1999 Q1 LFS608199922Philippines 1999 Q2 LFS608199923Philippines 1999 Q3 LFS608199924Philippines 1999 Q4 LFS608200021Philippines 2000 Q1 LFS608200022Philippines 2000 Q2 LFS608200023Philippines 2000 Q3 LFS608200024Philippines 2000 Q4 LFS608200121Philippines 2001 Q1 LFS608200122Philippines 2001 Q2 LFS608200123Philippines 2001 Q3 LFS608200124Philippines 2001 Q4 LFS608200221Philippines 2002 Q1 LFS608200222Philippines 2002 Q2 LFS608200223Philippines 2002 Q3 LFS608200224Philippines 2002 Q4 LFS608200321Philippines 2003 Q1 LFS608200322Philippines 2003 Q2 LFS608200323Philippines 2003 Q3 LFS608200324Philippines 2003 Q4 LFS608200421Philippines 2004 Q1 LFS608200422Philippines 2004 Q2 LFS608200423Philippines 2004 Q3 LFS608200424Philippines 2004 Q4 LFS608200521Philippines 2005 Q1 LFS608200522Philippines 2005 Q2 LFS608200523Philippines 2005 Q3 LFS608200524Philippines 2005 Q4 LFS608200621Philippines 2006 Q1 LFS608200622Philippines 2006 Q2 LFS608200623Philippines 2006 Q3 LFS608200624Philippines 2006 Q4 LFS608200721Philippines 2007 Q1 LFS608200722Philippines 2007 Q2 LFS608200723Philippines 2007 Q3 LFS608200724Philippines 2007 Q4 LFS608200821Philippines 2008 Q1 LFS608200822Philippines 2008 Q2 LFS608200823Philippines 2008 Q3 LFS608200824Philippines 2008 Q4 LFS608200921Philippines 2009 Q1 LFS608200922Philippines 2009 Q2 LFS608200923Philippines 2009 Q3 LFS608200924Philippines 2009 Q4 LFS608201021Philippines 2010 Q1 LFS608201022Philippines 2010 Q2 LFS608201023Philippines 2010 Q3 LFS608201024Philippines 2010 Q4 LFS608201121Philippines 2011 Q1 LFS608201122Philippines 2011 Q2 LFS608201123Philippines 2011 Q3 LFS608201124Philippines 2011 Q4 LFS608201221Philippines 2012 Q1 LFS608201222Philippines 2012 Q2 LFS608201223Philippines 2012 Q3 LFS608201224Philippines 2012 Q4 LFS608201321Philippines 2013 Q1 LFS608201322Philippines 2013 Q2 LFS608201323Philippines 2013 Q3 LFS608201324Philippines 2013 Q4 LFS608201421Philippines 2014 Q1 LFS608201422Philippines 2014 Q2 LFS608201423Philippines 2014 Q3 LFS608201424Philippines 2014 Q4 LFS608201521Philippines 2015 Q1 LFS608201522Philippines 2015 Q2 LFS608201523Philippines 2015 Q3 LFS608201524Philippines 2015 Q4 LFS608201621Philippines 2016 Q1 LFS608201622Philippines 2016 Q2 LFS608201623Philippines 2016 Q3 LFS608201624Philippines 2016 Q4 LFS608201721Philippines 2017 Q1 LFS608201722Philippines 2017 Q2 LFS608201723Philippines 2017 Q3 LFS608201724Philippines 2017 Q4 LFS608201821Philippines 2018 Q1 LFS608201822Philippines 2018 Q2 LFS608201823Philippines 2018 Q3 LFS608201824Philippines 2018 Q4 LFS608201921Philippines 2019 Q1 LFS608201922Philippines 2019 Q2 LFS608201923Philippines 2019 Q3 LFS608199001Philippines 1990608199501Philippines 1995608200001Philippines 2000608201001Philippines 2010616197801Poland 1978616198801Poland 1988616200201Poland 2002616201101Poland 2011620198101Portugal 1981620199101Portugal 1991620200101Portugal 2001620201101Portugal 2011630197001Puerto Rico 1970630198001Puerto Rico 1980630199001Puerto Rico 1990630200001Puerto Rico 2000630200501Puerto Rico 2005630201001Puerto Rico 2010630201501Puerto Rico 2015630202001Puerto Rico 2020642197701Romania 1977642199201Romania 1992642200201Romania 2002642201101Romania 2011643200201Russia 2002643201001Russia 2010646199101Rwanda 1991646200201Rwanda 2002646201201Rwanda 2012662198001Saint Lucia 1980662199101Saint Lucia 1991686198801Senegal 1988686200201Senegal 2002686201301Senegal 2013694200401Sierra Leone 2004694201501Sierra Leone 2015703199101Slovak Republic 1991703200101Slovak Republic 2001703201101Slovak Republic 2011705200201Slovenia 2002710199601South Africa 1996710200101South Africa 2001710200701South Africa 2007710201101South Africa 2011710201601South Africa 2016728200801South Sudan 2008724198101Spain 1981724199101Spain 1991724200101Spain 2001724201101Spain 2011724200521Spain 2005 Q1 LFS724200522Spain 2005 Q2 LFS724200523Spain 2005 Q3 LFS724200524Spain 2005 Q4 LFS724200621Spain 2006 Q1 LFS724200622Spain 2006 Q2 LFS724200623Spain 2006 Q3 LFS724200624Spain 2006 Q4 LFS724200721Spain 2007 Q1 LFS724200722Spain 2007 Q2 LFS724200723Spain 2007 Q3 LFS724200724Spain 2007 Q4 LFS724200821Spain 2008 Q1 LFS724200822Spain 2008 Q2 LFS724200823Spain 2008 Q3 LFS724200824Spain 2008 Q4 LFS724200921Spain 2009 Q1 LFS724200922Spain 2009 Q2 LFS724200923Spain 2009 Q3 LFS724200924Spain 2009 Q4 LFS724201021Spain 2010 Q1 LFS724201022Spain 2010 Q2 LFS724201023Spain 2010 Q3 LFS724201024Spain 2010 Q4 LFS724201121Spain 2011 Q1 LFS724201122Spain 2011 Q2 LFS724201123Spain 2011 Q3 LFS724201124Spain 2011 Q4 LFS724201221Spain 2012 Q1 LFS724201222Spain 2012 Q2 LFS724201223Spain 2012 Q3 LFS724201224Spain 2012 Q4 LFS724201321Spain 2013 Q1 LFS724201322Spain 2013 Q2 LFS724201323Spain 2013 Q3 LFS724201324Spain 2013 Q4 LFS724201421Spain 2014 Q1 LFS724201422Spain 2014 Q2 LFS724201423Spain 2014 Q3 LFS724201424Spain 2014 Q4 LFS724201521Spain 2015 Q1 LFS724201522Spain 2015 Q2 LFS724201523Spain 2015 Q3 LFS724201524Spain 2015 Q4 LFS724201621Spain 2016 Q1 LFS724201622Spain 2016 Q2 LFS724201623Spain 2016 Q3 LFS724201624Spain 2016 Q4 LFS724201721Spain 2017 Q1 LFS724201722Spain 2017 Q2 LFS724201723Spain 2017 Q3 LFS724201724Spain 2017 Q4 LFS724201821Spain 2018 Q1 LFS724201822Spain 2018 Q2 LFS724201823Spain 2018 Q3 LFS724201824Spain 2018 Q4 LFS724201921Spain 2019 Q1 LFS724201922Spain 2019 Q2 LFS724201923Spain 2019 Q3 LFS724201924Spain 2019 Q4 LFS724202021Spain 2020 Q1 LFS724202022Spain 2020 Q2 LFS724202023Spain 2020 Q3 LFS724202024Spain 2020 Q4 LFS729200801Sudan 2008740200401Suriname 2004740201201Suriname 2012752188001Sweden 1880752189001Sweden 1890752190001Sweden 1900752191001Sweden 1910756197001Switzerland 1970756198001Switzerland 1980756199001Switzerland 1990756200001Switzerland 2000756201101Switzerland 2011834198801Tanzania 1988834200201Tanzania 2002834201201Tanzania 2012764197001Thailand 1970764198001Thailand 1980764199001Thailand 1990764200001Thailand 2000768196001Togo 1960768197001Togo 1970768201001Togo 2010780197001Trinidad and Tobago 1970780198001Trinidad and Tobago 1980780199001Trinidad and Tobago 1990780200001Trinidad and Tobago 2000780201101Trinidad and Tobago 2011792198501Turkey 1985792199001Turkey 1990792200001Turkey 2000800199101Uganda 1991800200201Uganda 2002800201401Uganda 2014804200101Ukraine 2001826185101United Kingdom 1851 (England and Wales)826185102United Kingdom 1851 (Scotland)826185103United Kingdom 1851 (2% sample)826186101United Kingdom 1861 (England and Wales)826186102United Kingdom 1861 (Scotland)826187101United Kingdom 1871 (Scotland)826188101United Kingdom 1881 (England and Wales)826188102United Kingdom 1881 (Scotland)826189101United Kingdom 1891 (England and Wales)826189102United Kingdom 1891 (Scotland)826190101United Kingdom 1901 (England and Wales)826190102United Kingdom 1901 (Scotland)826191101United Kingdom 1911 (England and Wales)826196101United Kingdom 1961826197101United Kingdom 1971826199101United Kingdom 1991826200101United Kingdom 2001840185001United States 1850 (100%)840185002United States 1850 (1%)840186001United States 1860 (1%)840187001United States 1870 (1%)840188001United States 1880 (100%)840188002United States 1880 (10%)840190001United States 1900 (5%)840191001United States 1910 (1%)840196001United States 1960840197001United States 1970840198001United States 1980840199001United States 1990840200001United States 2000840200501United States 2005840201001United States 2010840201501United States 2015840202001United States 2020858196301Uruguay 1963858196302Uruguay 1963 (full count)858197501Uruguay 1975858197502Uruguay 1975 (full count)858198501Uruguay 1985858198502Uruguay 1985 (full count)858199601Uruguay 1996858199602Uruguay 1996 (full count)858200621Uruguay 2006858201101Uruguay 2011858201102Uruguay 2011 (full count)862197101Venezuela 1971862198101Venezuela 1981862199001Venezuela 1990862200101Venezuela 2001704198901Vietnam 1989704199901Vietnam 1999704200901Vietnam 2009704201901Vietnam 2019894199001Zambia 1990894200001Zambia 2000894201001Zambia 2010716201201Zimbabwe 2012Technical Household Variables -- HOUSEHOLDHousehold serial numberSERIAL 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 -- HOUSEHOLDNumber of person records in the householdPERSONS 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 -- HOUSEHOLDHousehold weightHHWT 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 -- HOUSEHOLDSubsample numberSUBSAMP 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.001st 1% subsample012nd 1% subsample023rd 1% subsample034th 1% subsample045th 1% subsample056th 1% subsample067th 1% subsample078th 1% subsample089th 1% subsample0910th 1% subsample1011th 1% subsample1112th 1% subsample1213th 1% subsample1314th 1% subsample1415th 1% subsample1516th 1% subsample1617th 1% subsample1718th 1% subsample1819th 1% subsample1920th 1% subsample2021st 1% subsample2122nd 1% subsample2223rd 1% subsample2324th 1% subsample2425th 1% subsample2526th 1% subsample2627th 1% subsample2728th 1% subsample2829th 1% subsample2930th 1% subsample3031st 1% subsample3132nd 1% subsample3233rd 1% subsample3334th 1% subsample3435th 1% subsample3536th 1% subsample3637th 1% subsample3738th 1% subsample3839th 1% subsample3940th 1% subsample4041st 1% subsample4142nd 1% subsample4243rd 1% subsample4344th 1% subsample4445th 1% subsample4546th 1% subsample4647th 1% subsample4748th 1% subsample4849th 1% subsample4950th 1% subsample5051st 1% subsample5152nd 1% subsample5253rd 1% subsample5354th 1% subsample5455th 1% subsample5556th 1% subsample5657th 1% subsample5758th 1% subsample5859th 1% subsample5960th 1% subsample6061st 1% subsample6162nd 1% subsample6263rd 1% subsample6364th 1% subsample6465th 1% subsample6566th 1% subsample6667th 1% subsample6768th 1% subsample6869th 1% subsample6970th 1% subsample7071st 1% subsample7172nd 1% subsample7273rd 1% subsample7374th 1% subsample7475th 1% subsample7576th 1% subsample7677th 1% subsample7778th 1% subsample7879th 1% subsample7980th 1% subsample8081st 1% subsample8182nd 1% subsample8283rd 1% subsample8384th 1% subsample8485th 1% subsample8586th 1% subsample8687th 1% subsample8788th 1% subsample8889th 1% subsample8990th 1% subsample9091st 1% subsample9192nd 1% subsample9293rd 1% subsample9394th 1% subsample9495th 1% subsample9596th 1% subsample9697th 1% subsample9798th 1% subsample9899th 1% subsample99100th 1% subsampleTechnical Household Variables -- HOUSEHOLDGroup quarters (collective dwelling) statusGQ 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.00Vacant10Households20Group quarters (collective), n.s.21Institutions22Other group quarters291-person unit created by splitting large household99Unknown/group quarters not identifiedGroup Quarters Variables -- HOUSEHOLDGroup quarters typeGQTYPE 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.100Institutional110Prisons, reformatories, or correctional institutions120Hospital, nursing home, hospice, or instutions for persons with disabilities121Institutions for persons with disabilities122Sanatorium or mental institutions130Homes for the elderly or orphanage131Retirement home132Orphanage, children's home140Shelter for homeless, youth, or others150Military or police institution160Boarding school or student housing170Religious institution, monastery, seminary, or convent199Other institutional n.e.c.200Non-institutional210Camps (refugees, workers, or others)220Hotel, pension, lodging, or boarding house230Floating population299Other non-institutional n.e.c.300Other group quarters3991-person unit created by splitting large household998Unknown999NIU (not in universe)Group Quarters Variables -- HOUSEHOLDNumber of unrelated personsUNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE.00112233445566778899+Group Quarters Variables -- HOUSEHOLDContinent and region of countryREGIONW identifies the continent and region of each country.11Eastern Africa12Middle Africa13Northern Africa14Southern Africa15Western Africa21Caribbean22Central America23North America24South America31Central Asia32Eastern Asia33Southern Asia34South-Eastern Asia35Western Asia41Eastern Europe42Northern Europe43Southern Europe44Western Europe51Australia and New Zealand52Melanesia53Micronesia54PolynesiaGeography: Global Variables -- HOUSEHOLDPuerto 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.630101G7201001630104G7201002, G7201003, G7201004630110G7201100630180G7201800630200G7200100, G7200200, G7200300, G7200400, G7200500, G72000700, G7201200, G7201300, G7201400, G7201500, G7201600, G7201700, G7201900, G7202000, G7202100, G7202200, G7202300, G7202400, G7202600, G7200600, G7200801, G7200802, G7200900630250G7202500Geography: O-Z Variables -- HOUSEHOLDPuerto Rico, PUMAs 1990 [Level 1, GIS]GEO1_PR1990 identifies the household's Public Use Microdata Area (PUMA) in Puerto Rico in 1990. PUMAs are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_PR1990 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.010110101021020103103010410402012010202202030030004004000500500060060007007000800800090090010001000110011001200120013001300140014001500150016001600170017001800180019001900200020002100210022002200230023002400240025002500Geography: O-Z Variables -- HOUSEHOLDPuerto Rico, Metropolitan AreaMETROPR 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.0Not identifiable or not in a metro area1Aguadilla2Arecibo3Caguas4Mayagüez5Ponce6San Juan-BayamonGeography: O-Z Variables -- HOUSEHOLDOwnership 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.0NIU (not in universe)1Owned2Not owned9UnknownHousehold Economic Variables -- HOUSEHOLDOwnership 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.000NIU (not in universe)100Owned110Owned, already paid120Owned, still paying130Owned, constructed140Owned, inherited190Owned, other191Owned, house192Owned, condominium193Apartment proprietor194Shared ownership200Not owned210Renting, not specified211Renting, government212Renting, local authority213Renting, parastatal214Renting, private215Renting, private company216Renting, individual217Renting, collective218Renting, joint state and individual219Renting, public subsidized220Renting, private subsidized221Renting, co-tenant222Renting, relative of tenant223Renting, cooperative224Renting, with a job or business225Renting, loan-backed habitation226Renting, mixed contract227Furnished dwelling228Sharecropping230Subletting231Rent to own239Renting, other240Occupied de facto/squatting250Free/usufruct (no cash rent)251Free, provided by employer252Free, without work or services253Free, provided by family or friend254Free, private255Free, public256Free, condemned257Free, other260Endowment, Waqf (Egypt historical)290Not owned, other999UnknownHousehold Economic Variables -- HOUSEHOLDWater supplyWATSUP describes the physical means by which the housing unit receives its water. The primary distinction is whether or not the household had piped (running) water.00NIU (not in universe)10Yes, piped water11Piped inside dwelling12Piped, exclusively to this household13Piped, shared with other households14Piped outside the dwelling15Piped outside dwelling, in building16Piped within the building or plot of land17Piped outside the building or lot18Have access to public piped water20No piped water99UnknownUtilities Variables -- HOUSEHOLDSewageSEWAGE indicates whether the household has access to a sewage system or septic tank.00NIU (not in universe)10Connected to sewage system or septic tank11Sewage system (public sewage disposal)12Septic tank (private sewage disposal)20Not connected to sewage disposal system99UnknownUtilities Variables -- HOUSEHOLDCooking fuelFUELCOOK indicates the predominant type of fuel or energy used for cooking.00NIU (not in universe)10None20Electricity30Petroleum gas, unspecified31Gas -- piped/utility32Gas -- tanked or bottled33Propane34Liquefied petroleum gas35Gas -- piped and bottled40Petroleum liquid41Oil, kerosene, and other liquid fuels42Kerosene/paraffin43Kerosene or oil44Kerosene or gasoline45Gasoline46Cocinol47Diesel50Wood, coal, and other solid fuels51Wood and other plant fuels52Non-wood plant materials53Coal or charcoal54Charcoal55Coal56Wood or charcoal60Multiple fuels61Bottled gas and wood62Propane and electricity63Propane, kerosene, and electricity64Propane and kerosene65Kerosene and electrictiy66Other combinations70Other71Alcohol72Biogas73Discarded or waste material74Dung/manure75Other combined organic waste materials76Solar energy77Candle99Unknown/missingUtilities Variables -- HOUSEHOLDTelephone availabilityPHONE indicates the availability of a telephone in the dwelling.0NIU (not in universe)1No2Yes9Unknown/missingUtilities Variables -- HOUSEHOLDAutomobiles availableAUTOS records whether a member of the household owned or had use of a vehicle and, in many samples, the number of such vehicles.0No autos11 auto22 autos33 autos44 autos55 autos66+ autos7Have auto, number unspecified8Unknown9NIU (not in universe)Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDHot water heaterHOTWATER indicates whether the housing unit had a water heater.0NIU (not in universe)1No2Yes9Unknown/missingAppliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDNumber of roomsROOMS indicates the number of rooms occupied by the housing unit.00Part of a room; no rooms011022033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030+98Unknown99NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDNumber of bedroomsBEDROOMS indicates the number of rooms available to members of the household for sleeping.00No bedrooms01102203304405506607708809910101111121213131414151516161717181819192020+98Unknown99NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDKitchen or cooking facilitiesKITCHEN indicates whether the household had a kitchen, cooking facilities, or room dedicated to food preparation.00NIU (not in universe)10No kitchen11Food is prepared in a non-kitchen room13Does not prepare food in the dwelling20Yes, have a kitchen21Kitchen located inside the dwelling22Indoor kitchen, exclusive use23Indoor kitchen, shared use24Exclusive use of kitchen (indoor/outdoor status not specified)25Shared use of kitchen with another household (indoor/outdoor status not specified)26Kitchen located outside the dwelling27Outdoor kitchen, exclusive use28Outdoor kitchen, shared use99Unknown/missingDwelling Characteristics Variables -- HOUSEHOLDToiletTOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation.00NIU (not in universe)10No toilet11No flush toilet20Have toilet, type not specified21Flush toilet22Non-flush, latrine23Non-flush, other and unspecified99UnknownDwelling Characteristics Variables -- HOUSEHOLDNumber of bathroomsBATHROOMS indicates the number of bathrooms in the dwelling available for use by the household.00No bathrooms (or half bathroom)011 bathroom022 bathrooms033 bathrooms044 bathrooms055 bathrooms066 bathrooms077 bathrooms088 bathrooms099 bathrooms1010 bathrooms98Unknown99NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDBathing facilitiesBATH indicates whether the household had access to bathing facilities and, in most cases, whether it had exclusive access.0NIU (not in universe)1No bathing facility2Have bathing facility, exclusivity not specified3Have bathing facility, exclusive use4Have bathing facility, shared use9UnknownDwelling Characteristics Variables -- HOUSEHOLDWall or building materialThis variable indicates the primary material used in the construction of the dwelling, particularly the dwelling's exterior walls.000NIU (not in universe)100No walls200Cardboard, scrap, and miscellaneous materials201Waste, scrap, or discarded material202Fabric or discarded material203Zinc, fabric, cardboard, tins, and waste material204Cardboard sheet205Plastic sheeting, cardboard206Makeshift, salvaged, or improvised materials207Reused materials300Wood310Rough wood320Wood, fibercement or plywood330Wood, formica, and other340Wood or bamboo350Wood or straw400Other plant-based materials401Plantain leaves and similar material402Bamboo or cane403Bamboo, sawali, cogon, nipa404Straw or bamboo405Grass, straw or reed406Reed, bamboo, or palm407Cane, palm leaves, logs408Palm leaves or palm planks409Bark, sticks, or cane500Masonry, stone, cement, adobe, metal, glass, and other fabricated materials (sometimes mixed with wood)501Brick, block, stone, or cement502Brick, stone, concrete503Brick, stone, or substitutes (dividing panels made of reinforced concrete)504Brick, stone, or substitutes (dividing panels made of wood)505Brick or tile506Brick or stone507Brick or cement block508Brick with plaster exterior509Brick without plaster exterior510Burnt or stabilized brick511Covered brick512Brick513Unburnt brick514Unburnt brick with cement515Unburnt brick with mud516Concrete517Landcrete, sandcrete518Cement blocks519Cement blocks or brick520Cement blocks or brick, unfinished521Cement and adobe bricks522Cement and stone block523Cement and tiles524Reinforced concrete, pre-cast concrete panels, or steel skeleton framed concrete525Concrete, reinforced concrete, blocks, panels526Fibercement527Adobe528Adobe walls with plaster exterior529Adobe walls without plaster exterior530Adobe with cement exterior531Wood and earth adobe532Wood and cement adobe533Mud or adobe534Pressed dirt535Clay536Coated clay/mud with sticks/cane537Clay or clay-covered sticks538Netted bamboo or cane with mud539Bundle of mud, straw, other materials540Mud with wood/wattle541Pole and mud542Mud with cement543Unfinished lathe and plaster, stucco, etc.544Stone545Hand-laid stone546Quarried stone547Cut stone and concrete548Cemented stone549Stone with clay550Blocks of light material551Prefabricated material552Asbestos553Metal or asbestos sheet554Metal or iron sheet555Metal or fibercement sheeting556Galvanized iron or aluminum557Tin558Glass559Cloth560Covintec panels561Mixed material562Mixed material: part wood; part concrete, brick, or stone563Wood plastered with clay, adobe, other materials; wood pressed panels; rolled mud bricks; etc.564Mixed material: wood or galvanized metal570Mainly permanent materials600Other material601Partition wall, lined with wood or steel602Partition wall, unlined999Unknown/missingDwelling Characteristics Variables -- HOUSEHOLDAge of structure, coded from intervalsAGESTRUCT2 gives the estimated age of the structure.000Less than 1 year old0011 year0022 years0033004400550066007700880099010100111101212013130141401515016160171701818019190202002121022220232302424025250262602727028280292903030031310323203333034340353503636037370383803939040400414104242043430444404545046460474704848049490505005151052520535305454055550565605757058580595906060061610626206363064640656506666067670686806969070700717107272073730747407575076760777707878079790808008181082820838308484085850868608787088880898909090091910929209393094940959509696097970989809999100100101101102102103103104104105105106106107107108108109109110110111111112112113113114114115115116116117117118118119119120120121121122122123123124124125125126126127127128128129129130130131131132132133133134134135135136136137137138138139139140140141141142142143143144144145145146146147147148148149149150150151151152152153153154154155155156156157157158158159159160160161161162162163163164164165165166166167167168168169169170170171171172172173173174174175175176176177177178178179179180180181181182182183183184184185185186186187187188188189189190190191191192192193193194194195195196196197197198198199199200200+997Under construction998Unknown999NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDHousehold classificationHHTYPE 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.00Vacant household01One-person household02Married/cohab couple, no children03Married/cohab couple with children04Single-parent family05Polygamous family06Extended family, relatives only07Composite household, family and non-relatives08Non-family household09Unclassified subfamily10Other relative or non-relative household11Group quarters99UnclassifiableConstructed Household Variables -- HOUSEHOLDNumber of families in householdNFAMS 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.0Vacant household11 family22 families33 families44 families55 families66 families77 families88 families99 or more familiesConstructed Household Variables -- HOUSEHOLDNumber of married couples in householdNCOUPLES 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).0No married couples in household11 couple22 couples33 couples44 couples55 couples66 couples77 couples88 couples99 or more couplesConstructed Household Variables -- HOUSEHOLDNumber of mothers in householdNMOTHERS 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).0No mothers in household11 mother22 mothers33 mothers44 mothers55 mothers66 mothers77 mothers88 mothers99 or more mothers in householdConstructed Household Variables -- HOUSEHOLDNumber of fathers in householdNFATHERS 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).0No fathers in household11 father22 fathers33 fathers44 fathers55 fathers66 fathers77 fathers88 fathers99 or more fathers in householdConstructed Household Variables -- HOUSEHOLDHead's location in householdHEADLOC 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 -- HOUSEHOLDDwelling numberPuerto Rico 1990: All householdsThis variable indicates the dwelling number.This is a 5-digit numeric variable with 0 implied decimal placesTechnical Household Variables -- HOUSEHOLDNumber of persons in householdPuerto Rico 1990: All householdsThis variable indicates the number of persons in the household.0000110220330440550660770880991010111112121313141415151616Technical Household Variables -- HOUSEHOLDSubsample numberPuerto Rico 1990: All householdsThis variable allocates each household to one of 100 subsample replicates, randomly numbered from 0 to 99.00First 1% subsample012nd 1% subsample022033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030313132323333343435353636373738383939404041414242434344444545464647474848494950505151525253535454555556565757585859596060616162626363646465656666676768686969707071717272737374747575767677777878797980808181828283838484858586868787888889899090919192929393949495959696979798989999Technical Household Variables -- HOUSEHOLDHousehold weightPuerto Rico 1990: All householdsThis 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 placesTechnical Household Variables -- HOUSEHOLDMetropolitan areaPuerto Rico 1990: All householdsThis variable indicates the metropolitan area where the household was enumerated, if that metropolitan area was large enough to meet confidentiality requirements.0000Not identifiable or not in an MSA0060Aguadilla0470Arecibo1330Caguas4840Mayaguez6360Ponce7440San Juan-BayamonGeography: O-Z Variables -- HOUSEHOLDGroup quarters statusPuerto Rico 1990: All householdsThis variable indicates group quarters status, whether it is a household or group quarters.0Vacant unit1Households 2Additional households 3Institutions4Other group quarters Group Quarters Variables -- HOUSEHOLDGroup quarters typePuerto Rico 1990: Occupied, collective dwellings [discrepancies: none]This variable indicates the type of group quarters, whether it is institutional or non-institutional.000NIU (not in universe)100Institution500Non-institutional group quartersGroup Quarters Variables -- HOUSEHOLDFarm statusPuerto Rico 1990: All householdsThis variable indicates farm status of the household.1Non-farm2FarmHousehold Economic Variables -- HOUSEHOLDSales of farm products<svar v="PR90A029" a="all"><span class="em">H10b. In 1989, what were the actual sales of all agricultural products from this property?</span><br /><div class="i1">[ ] 1 None<br />[ ] 2 $1 to $99<br />[ ] 3 $100 to $499<br />[ ] 4 $500 to $999<br />[ ] 5 $1,000 to $2,499<br />[ ] 6 $2,500 or more</div><br /></svar>Puerto Rico 1990: Private, occupied, single unit dwellings, with lots 3 cuerdas or more [discrepancies: none]This variable indicates the previous year's gross sales of farm produce in contemporary dollars.0NIU (not in universe)1None2$1 - $993$100 - $4994$500 - $9995$1,000 - $2,4996$2,500 or moreHousehold Economic Variables -- HOUSEHOLDOwnership of dwelling<svar v="PR90A030" a="all"><span class="em">H6. Is this (house or apartment) </span>--<br /><div class="i1">[] 1 Owned by you or someone in this household with a mortgage or loan?<br />[] 2 Owned by you or someone in this household free and clear (without a mortgage)?<br />[] 3 Rented for cash rent?<br />[] 4 Occupied without payment of cash rent?</div><br /></svar>Puerto Rico 1990: Occupied private dwellings [discrepancies: none]This variable indicates whether the dwelling was owned or rented by its inhabitants.00NIU (not in universe)12Owned free and clear13Owned with mortgage or loan21No cash rent22With cash rentHousehold Economic Variables -- HOUSEHOLDMortgage status<svar v="PR90A041 PR90A040 PR90A031 PR90A033 PR90A038 PR90A039 PR90A032 PR90A068 PR90A043"><span class="em">Interviewer Instruction</span>: Ask questions H25 through H29, if this is a one-family house, a condominium, or a mobile home that someone in this household owns or is buying; otherwise, go to H30.<br /></svar></p>
<p><svar v="PR90A031" a="all"><span class="em">H27a. Is there a mortgage, deed of trust, contract to purchase, or similar debt on this property? </span><br /><div class="i1">[] 1 Yes, mortgage, deed of trust, or similar debt -- Go to H27b<br />[] 2 Yes, contract to purchase -- Go on to question H27b<br />[] 3 No -- Skip to H28a</div><br /></svar>Puerto Rico 1990: Owner-occupied single-unit houses, mobile homes, and condominiums [discrepancies: none]This variable indicates whether an owner-occupied dwelling was owned free and clear or was encumbered by a mortgage, loan, or other type of debt.0NIU (not in universe)1No, owned free and clear3Yes, mortgaged/ deed of trust or similar debt4Yes, contract to purchaseHousehold Economic Variables -- HOUSEHOLDSecond mortgage status<svar v="PR90A041 PR90A040 PR90A031 PR90A033 PR90A038 PR90A039 PR90A032 PR90A068 PR90A043"><span class="em">Interviewer Instruction</span>: Ask questions H25 through H29, if this is a one-family house, a condominium, or a mobile home that someone in this household owns or is buying; otherwise, go to H30.<br /></svar></p>
<p><svar v="PR90A032" a="all"><span class="em">H28a. Is there a second or junior mortgage or a home equity loan on this property? </span><br /><br /><div class="i1">[] 1 Yes<br />[] 2 No -- Skip to H29</div><br /></svar>Puerto Rico 1990: Owner-occupied single-unit houses, mobile homes, and condominiums [discrepancies: none]This variable indicates whether owner-occupied housing units with a first mortgage were encumbered by a second mortgage or home equity loan.0NIU (not in universe)1No2YesHousehold Economic Variables -- HOUSEHOLDFirst mortgage monthly payment<svar v="PR90A041 PR90A040 PR90A031 PR90A033 PR90A038 PR90A039 PR90A032 PR90A068 PR90A043"><span class="em">Interviewer Instruction</span>: Ask questions H25 through H29, if this is a one-family house, a condominium, or a mobile home that someone in this household owns or is buying; otherwise, go to H30.<br /></svar></p>
<p><svar v="PR90A033" a="all"><span class="em">H27b. 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">$_______________ .00 Monthly amount -- Dollars</div><br />or<br /><div class="i1">[] 0 No regular payment required -- [Go on to question H24a]</div><br /></svar>Puerto Rico 1990: Households with mortgage [discrepancies: none]This variable indicates the household's first mortgage monthly payment obligations, if any.This is a 5-digit numeric variable with 0 implied decimal placesHousehold Economic Variables -- HOUSEHOLDHouse value<svar v="PR90A034" a="all"><span class="em">H8. </span>Ask only if someone in this household owns or is buying this house or apartment --<br /><br /><span class="em">What is the value of this property; that is, how much do you think this house and lot or condominium unit would sell for if it were for sale? </span><br /><div class="i1">[] 1 Less than $10,000<br />[] 2 $10,000 to $14,999<br />[] 3 $15,000 to $19,999<br />[] 4 $20,000 to $24,999<br />[] 5 $25,000 to $29,999<br />[] 6 $30,000 to $34,999<br />[] 7 $35,000 to $39,999<br />[] 8 $40,000 to $44,999<br />[] 9 $45,000 to $49,999<br />[] 10 $50,000 to $54,999<br />[] 11 $55,000 to $59,999<br />[] 12 $60,000 to $64,999<br />[] 13 $65,000 to $69,999<br />[] 14 $70,000 to $74,999<br />[] 15 $75,000 to $79,999<br />[] 16 $80,000 to $89,999<br />[] 17 $90,000 to $99,999<br />[] 18 $100,000 to $124,999<br />[] 19 $125,000 to $149,999<br />[] 20 $150,000 to $174,999<br />[] 21 $175,000 to $199,999<br />[] 22 $200,000 to $249,999<br />[] 23 $250,000 to $299,999<br />[] 24 $300,000 to $399,999<br />[] 25 $400,000 to $499,999<br />[] 26 $500,000 or more</div><br /></svar>Puerto Rico 1990: Owner-occupied or vacant-for-sale housing units; not group quarters [discrepancies: none]This variable indicates the value of owner-occupied or vacant-for-sale housing units in contemporary dollars.005000Less than $10,000012500$10,000-14,999017500$15,000-19,999022500$20,000-24,999027500$25,000-29,999032500$30,000-34,999037500$35,000-39,999042499$40,000-44,999047500$45,000-49,999052500$50,000-54,999057500$55,000-59,999062500$60,000-64,999067500$65,000-69,999 072500$70,000-74,999077500$75,000-79,999085000$80,000-89,999095000$90,000-99,999112500$100,000-124,999137500$125,000-149,999162500$150,000-174,999187500$175,000-199,999225000$200,000-249,999275000$250,000-299,999350000$300,000-399,999400000$400,000+999999NIU (not in universe)Household Economic Variables -- HOUSEHOLDCommercial use<svar v="PR90A035 PR90A037"><span class="em">[Ask question 7 if this is a one-family house]</span><br /></svar></p>
<p><svar v="PR90A035" a="all"><span class="em">H7b. Is any part of the property used as:</span><br /><br />1. A commercial establishment?<br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar>Puerto Rico 1990: Private, occupied or vacant, single-family houses or mobile homes [discrepancies: none]This variable indicates whether a dwelling has a business (such as a store/barber shop) or medical/dental office on the property.0NIU (not in universe)1No commerical use2Yes, used commerciallyHousehold Economic Variables -- HOUSEHOLDAcreage of property<svar v="PR90A036" a="all"><span class="em">H10a. Is this house on --</span><br /><div class="i1">[ ] 1 Less than 3 <span class="lang">cuerdas</span><br />[ ] 2 3 to 9 <span class="lang">cuerdas</span><br />[ ] 3 10 or more <span class="lang">cuerdas</span></div><br /></svar>Puerto Rico 1990: Private, occupied or vacant, single-family houses or mobile homes [discrepancies: none]This variable indicates the number of acres in which the housing unit was located.0NIU (not in universe)4Less than 3 cuerdas 63 to 10 cuerdas810+ cuerdasHousehold Economic Variables -- HOUSEHOLDHouse acreage<svar v="PR90A035 PR90A037"><span class="em">[Ask question 7 if this is a one-family house]</span><br /></svar></p>
<p><svar v="PR90A037" a="all"><span class="em">H7a. Is this house on a 3 or more <span class="lang">cuerdas</span>? </span><br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar>Puerto Rico 1990: Private, occupied or vacant, single-family houses or mobile homes [discrepancies: none]This variable indicates whether the acreage on which the housing unit was located is three or more cuerdas or less than three cuerdas.0NIU (not in universe)3House on less than 3 cuerdas 4House on 3+ cuerdas Household Economic Variables -- HOUSEHOLDMortgage payment includes property taxes [not verifiable]<svar v="PR90A041 PR90A040 PR90A031 PR90A033 PR90A038 PR90A039 PR90A032 PR90A068 PR90A043"><span class="em">Interviewer Instruction</span>: Ask questions H25 through H29, if this is a one-family house, a condominium, or a mobile home that someone in this household owns or is buying; otherwise, go to H30.<br /></svar></p>
<p><svar v="PR90A038" a="all"><span class="em">H27c. Does your regular monthly mortgage payment include payments for real estate taxes on this property? </span><br /><div class="i1">[] 1 Yes, taxes included in payment<br />[] 2 No, taxes paid separately or taxes not required</div><br /></svar>Puerto Rico 1990: Households with a regular mortgage payment [discrepancies: type I none; type II 0.3%]This variable indicates whether or not the household's monthly mortgage payment includes property taxes.0NIU (not in universe)1No2Yes9UnknownHousehold Economic Variables -- HOUSEHOLDMortgage payment includes property insurance<svar v="PR90A041 PR90A040 PR90A031 PR90A033 PR90A038 PR90A039 PR90A032 PR90A068 PR90A043"><span class="em">Interviewer Instruction</span>: Ask questions H25 through H29, if this is a one-family house, a condominium, or a mobile home that someone in this household owns or is buying; otherwise, go to H30.<br /></svar></p>
<p><svar v="PR90A039" a="all"><span class="em">H27d. Does your regular monthly mortgage payment include payments for fire, hazard, or flood insurance on this property? </span><br /><div class="i1">[] 1 Yes, insurance included in payment<br />[] 2 No, insurance paid separately or no insurance</div><br /></svar>Puerto Rico 1990: Households with a regular mortgage payment [discrepancies: type I none; type II 0.3%]This variable indicates whether or not the household's monthly mortgage payment includes property insurance.0NIU (not in universe)1No2Yes, payment includes insurance premiums9UnknownHousehold Economic Variables -- HOUSEHOLDAnnual property insurance cost<svar v="PR90A041 PR90A040 PR90A031 PR90A033 PR90A038 PR90A039 PR90A032 PR90A068 PR90A043"><span class="em">Interviewer Instruction</span>: Ask questions H25 through H29, if this is a one-family house, a condominium, or a mobile home that someone in this household owns or is buying; otherwise, go to H30.<br /></svar></p>
<p><svar v="PR90A040" a="all"><span class="em">H26. What was the annual payment for fire, hazard, and flood insurance on this property? </span><br /><div class="i1">$_____________ .00 Yearly amount -- Dollars</div><br />or<br /><div class="i1">[] 0 None</div><br /></svar>Puerto Rico 1990: Single-unit, owner-occupied houses, condominiums, and mobile homes [discrepancies: none]This variable indicates the household's annual property (fire, hazard, flood) insurance cost.This is a 4-digit numeric variable.
Codes0 = NIU (not in universe).
1461 = Top code: 99.5th percentile within the country (Higher values are the state means of all cases above these cutoffs.)Household Economic Variables -- HOUSEHOLDAnnual property taxes<svar v="PR90A041 PR90A040 PR90A031 PR90A033 PR90A038 PR90A039 PR90A032 PR90A068 PR90A043"><span class="em">Interviewer Instruction</span>: Ask questions H25 through H29, if this is a one-family house, a condominium, or a mobile home that someone in this household owns or is buying; otherwise, go to H30.<br /></svar></p>
<p><svar v="PR90A041" a="all"><span class="em">H25. What were the real estate taxes on this property last year? </span><br /><div class="i1">$_____________ .00 Yearly amount -- Dollars</div><br />or<br /><div class="i1">[] 0 None</div><br /></svar>Puerto Rico 1990: Single-unit, owner-occupied houses, condominiums, and mobile homes [discrepancies: none]This variable indicates the total annual real estate tax costs (state, local and other) for the previous year.00NIU (not in universe)01None02$1-49 03$50-9904$100-14905$150-19906$200-24907$250-29908$300-34909$350-39910$400-44911$450-49912$500-54913$550-59914$600-64915$650-69916$700-74917$750-79918$800-84919$850-89920$900-94921$950-99922$1000-109923$1100-119924$1200-129925$1300-139926$1400-149927$1500-159928$1600-169929$1700-179930$1800-189931$1900-199933$2199+Household Economic Variables -- HOUSEHOLDMonthly contract rent<svar v="PR90A042" a="all">Ask only if rent is paid for this house or apartment.<br /><br /><span class="em">H9. What is the monthly rent? </span><br />If rent is not paid by the month, see your job instructions on how to figure out a monthly rent.<br /><div class="i1">[] 1 Less than $60<br />[] 2 $60 to $79<br />[] 3 $80 to $99<br />[] 4 $100 to $124<br />[] 5 $125 to $149<br />[] 6 $150 to $174<br />[] 7 $175 to $199<br />[] 8 $200 to $224<br />[] 9 $225 to $249<br />[] 10 $250 to $274<br />[] 11 $275 to $299<br />[] 12 $300 to $324<br />[] 13 $325 to $349<br />[] 14 $350 to $374<br />[] 15 $375 to $399<br />[] 16 $400 to $424<br />[] 17 $425 to $449<br />[] 18 $450 to $474<br />[] 19 $475 to $499<br />[] 20 $500 to $549<br />[] 21 $550 to $599<br />[] 22 $600 to $649<br />[] 23 $650 to $699<br />[] 24 $700 to $749<br />[] 25 $750 to $999<br />[] 26 $1,000 or more</div><br /></svar>Puerto Rico 1990: Renter-occupied or vacant-to-rent units [discrepancies: none]This variable indicates the amount of the household's monthly contract rent payment.This is a 4-digit numeric variable.
Codes0 = NIU (not in universe).
1000 = Top code: 99.5th percentile within the country (Higher values are the state means of all cases above these cutoffs.)Household Economic Variables -- HOUSEHOLDMonthly condominium fee<svar v="PR90A041 PR90A040 PR90A031 PR90A033 PR90A038 PR90A039 PR90A032 PR90A068 PR90A043"><span class="em">Interviewer Instruction</span>: Ask questions H25 through H29, if this is a one-family house, a condominium, or a mobile home that someone in this household owns or is buying; otherwise, go to H30.<br /></svar></p>
<p><svar v="PR90A043" a="all"><span class="em">H29. Answer only if this is a condominium.<br /><br />What is the monthly condominium fee?</span><br /><div class="i1">$________________ .00 Monthly amount -- Dollars</div><br /></svar>Puerto Rico 1990: Owner-occupied condominiums [discrepancies: none]This variable indicates the condominium's unit assigned monthly condominium fee.This is a 3-digit numeric variable.
Codes0 = NIU (not in universe).
981 = Top code: 99.5th percentile within the country (Higher values are the state means of all cases above these cutoffs.)Household Economic Variables -- HOUSEHOLDCondominium status<svar v="PR90A044" a="all"><span class="em">H5. Is this (house/apartment) part of a condominium? </span><br />A condominium is a building or development with individually owned apartments or houses, having commonly owned areas and grounds.<br /><div class="i1">[ ] 1 Yes<br />[ ] 2 No</div><br /></svar>Puerto Rico 1990: Private, occupied or vacant dwellings [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.0NIU (not in universe)1Not a condominium unit2Condominium unitHousehold Economic Variables -- HOUSEHOLDAnnual electricity cost<svar v="PR90A045" a="all"><span class="em">H24a. What is the average monthly cost for electricity for this house or apartment? </span><br /><br /><div class="i1">$__________ .00 Average monthly cost</div><br />or<br /><div class="i1">[] 1 Included in rent or in condominium fee<br />[] 2 No charge or electricity not used</div><br /></svar>Puerto Rico 1990: Private occupied dwellings [discrepancies: none]This variable indicates the annual electricity cost for each dwelling (rented or owned), excluding amounts included in contract rent or other types of payments.This is a 4-digit numeric variable.
Codes0 = NIU (not in universe).
990 = Top code.
9993 = No charge or none used.
9997 = Included in rent or in condo fee.Household Economic Variables -- HOUSEHOLDAnnual gas cost<svar v="PR90A046" a="all"><span class="em">H24b. What is the average monthly cost for gas for this house or apartment? </span><br /><div class="i1">$__________ .00 Average monthly cost</div><br />or<br /><div class="i1">[] 1 Included in rent or in condominium fee<br />[] 2 No charge or electricity not used</div><br /></svar>Puerto Rico 1990: Private occupied dwellings [discrepancies: none]This variable indicates the annual gas cost of each dwelling (rented or owned), excluding amounts included in contract rent or other types of payments.This is a 4-digit numeric variable.
Codes0 = NIU (not in universe).
990 = Top code.
9993 = No charge or none used.
9997 = Included in rent or in condo fee.Household Economic Variables -- HOUSEHOLDAnnual water cost<svar v="PR90A047" a="all"><span class="em">H24c. What is the average monthly cost for water for this house or apartment? </span><br /><div class="i1">$__________ .00 Average monthly cost</div><br />or<br /><div class="i1">[] 1 Included in rent or in condominium fee<br />[] 2 No charge or electricity not used</div><br /></svar>Puerto Rico 1990: Private occupied dwellings [discrepancies: none]This variable indicates the rented or owned dwelling's annual water cost, excluding amounts included in contract rent or other types of payments.This is a 4-digit numeric variable.
Codes0 = NIU (not in universe).
990 = Top code.
9993 = No charge or none used.
9997 = Included in rent or in condo fee.Household Economic Variables -- HOUSEHOLDAnnual home heating fuel cost<svar v="PR90A048" a="all"><span class="em">H24d. What is the average monthly cost for oil, charcoal, kerosene, wood, etc. for this house or apartment? </span><br /><div class="i1">$__________ .00 Average monthly cost</div><br />or<br /><div class="i1">[] 1 Included in rent or in condominium fee<br />[] 2 No charge or electricity not used</div><br /></svar>Puerto Rico 1990: Private occupied dwellings with heating [universe not verifiable]This variable indicates each rented or owned dwelling's annual fuel cost, excluding amounts included in contract rent or other types of payments.This is a 4-digit numeric variable.
Codes0 = NIU (not in universe).
144 = Top code.
9993 = No charge or none used.
9997 = Included in rent or in condo fee.Household Economic Variables -- HOUSEHOLDTotal family incomePuerto Rico 1990: Private occupied dwellings [discrepancies: none]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.
Codes72322 = Top code.
72323+ = 72323 or more (median of top-coded values).
999999 = NIU (not in universe).Household Economic Variables -- HOUSEHOLDVacancy status<svar v="PR90A050 PR90A052 PR90A053">For enumerator use<br /></svar></p>
<p><svar v="PR90A050" a="all"><span class="em">C1. Vacancy Status </span><br /><div class="i1">[ ] 1 For rent<br />[ ] 2 For sale only<br />[ ] 3 Rented or sold, not occupied<br />[ ] 4 For seasonal, recreational or other occasional use<br />[ ] 5 For migrant workers<br />[ ] 6 Other vacant</div><br /></svar>Puerto Rico 1990: Vacant dwellings [discrepancies: none]This variable indicates if a dwelling was vacant and reports the reason for the vacancy.0NIU (not in universe)1For rent2For sale only3Rented or sold but not (yet) occupied4For seasonal, recreational or other occasional use7For migratory workers9Other vacantOther Household Variables -- HOUSEHOLDVacant, usual home elsewherePuerto Rico 1990: Not group quarters, only units occupied by people with usual homes elsewhere [not verifiable]This variable indicates if a dwelling did not house permanent residents but were temporarily occupied at the time of enumeration.0NIU (not in universe)2Usual home elsewhere, owns unit presently occupied3Usual home elsewhere, rents unit presently occupied4Usual home elsewhere, ownership undeterminedOther Household Variables -- HOUSEHOLDBoarded-up status<svar v="PR90A050 PR90A052 PR90A053">For enumerator use<br /></svar></p>
<p><svar v="PR90A052" a="all"><span class="em">C2. Is this unit boarded up? </span><br /><div class="i1">[ ] 1 Yes<br />[ ] 2 No</div><br /></svar>Puerto Rico 1990: Vacant dwellings [discrepancies: none]This variable indicates whether or not the vacant unit was boarded up-that is, with windows and doors sealed to protect the interior and prevent illegal entry.0NIU (not in universe)1No, not boarded up2Yes, boarded upOther Household Variables -- HOUSEHOLDDuration of vacancy<svar v="PR90A050 PR90A052 PR90A053">For enumerator use<br /></svar></p>
<p><svar v="PR90A053" a="all"><span class="em">D. Months vacant </span><br /><div class="i1">[ ] 1 Less than 1<br />[ ] 2 1 up to 2<br />[ ] 3 2 up to 6<br />[ ] 4 6 up to 12<br />[ ] 5 12 up to 24<br />[ ] 6 24 or more</div><br /></svar>Puerto Rico 1990: Vacant dwellings [discrepancies: none]This variable indicates the time elapsed, in months, since the last occupants moved out of the vacant dwelling.0NIU (not in universe)1Less than 1 month21-2 months32-6 months46-12 months512-24 months6More than 24 monthsOther Household Variables -- HOUSEHOLDTotal household incomePuerto Rico 1990: Private occupied dwellings [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.
Codes72322 = Top code.
72323+ = 72323 or more (median of top-coded values).
999999 = NIU (not in universe).Household Economic Variables -- HOUSEHOLDKitchen or cooking facilities<svar v="PR90A055" a="all"><span class="em">H20. Do you have complete kitchen facilities; that is, a sink with piped water, a range or cookstove, and a refrigerator?</span><br /><div class="i1">[ ] 1 Yes<br />[ ] 2 No</div><br /></svar>Puerto Rico 1990: Private dwellings [discrepancies: none]This variable indicates whether or not the dwelling contained kitchen or cooking facilities.0NIU (not in universe)1No4Yes (shared or exclusive use)Dwelling Characteristics Variables -- HOUSEHOLDNumber of rooms<svar v="PR90A056" a="all"><span class="em">H3. How many rooms do you have in this house or apartment? </span><br /><br />Count living rooms, dining rooms, kitchens, and bedrooms, but do not count bathrooms, balconies, foyers, halls, or halls.<br /><div class="i1">[] 1 1 room<br />[] 2 2 rooms<br />[] 3 3 rooms<br />[] 4 4 rooms<br />[] 5 5 rooms<br />[] 6 6 rooms<br />[] 7 7 rooms<br />[] 8 8 rooms<br />[] 9 9 or more rooms</div><br /></svar>Puerto Rico 1990: Private dwellings [discrepancies: none]This variable indicates the number of whole rooms used for living purposes that are contained in the dwelling.0NIU (not in universe)11 room2233445566778899 or moreDwelling Characteristics Variables -- HOUSEHOLDHot and cold piped water<svar v="PR90A057" a="all"><span class="em">H4a . Is there hot and cold piped water in this (house/apartment)? </span><br /><div class="i1">[ ] 1 Yes, hot and cold piped water<br />[ ] 2 No, only cold piped water<br />[ ] 3 No piped water -- Skip to H4d</div><br /></svar>Puerto Rico 1990: Private dwellings [discrepancies: none]This variable indicates whether or not the dwelling contained piped water. If the dwelling contained piped water, the variable indicates if the dwelling contained only cold or hot and cold piped water.0NIU (not in universe)1No piped water2Cold piped water only3Hot and cold piped waterDwelling Characteristics Variables -- HOUSEHOLDBathtub or shower<svar v="PR90A058" a="all"><span class="em">H4b . Is there a bathtub or shower in this (house/apartment)? </span><br /><div class="i1">[ ] 1 Yes<br />[ ] 2 No bathtub or shower</div><br /></svar>Puerto Rico 1990: Private dwellings with piped water [discrepancies: none]This variable indicates whether or not the dwelling contained a bathtub or shower.0NIU (not in universe)1No, no bathtub or shower4Yes (exclusive or shared use)Dwelling Characteristics Variables -- HOUSEHOLDFlush toilet<svar v="PR90A059 PR90A121" a=" PR90A059"><span class="em">H4c. Is there a flush toilet in this (house/apartment)? </span><br /><div class="i1">[ ] 1 Yes -- Skip to H5<br />[ ] 2 No -- Go to H4d</div><br /></svar>Puerto Rico 1990: Private dwellings with piped water [discrepancies: none]This variable indicates whether or not the dwelling contained an indoor flush toilet.0NIU (not in universe)1No, no indoor flush toilet4Yes, shared or exclusive useDwelling Characteristics Variables -- HOUSEHOLDAge of structure<svar v="PR90A060" a="all"><span class="em">H12. About when was this building first built? </span><br /><div class="i1">[] 1 1989 or 1990<br />[] 2 1985 to 1988<br />[] 3 1980 to 1984<br />[] 4 1970 to 1979<br />[] 5 1960 to 1969<br />[] 6 1950 to 1959<br />[] 7 1940 to 1949<br />[] 8 1939 or earlier<br />[] 9 Don't know</div><br /></svar>Puerto Rico 1990: Private dwellings [discrepancies: none]This variable indicates the estimated age of structure in years.0NIU (not in universe)10-1 year old22-5 years36-10 years411-20 years521-30 years631-40 years 741-50 years851+Dwelling Characteristics Variables -- HOUSEHOLDCondition of housing<svar v="PR90A061" a="all"><span class="em">H30.</span>Mark from observation.<br /><br /><span class="em">Condition of this housing unit</span><br /></svar>Puerto Rico 1990: Private dwellings [discrepancies: none]This variable indicates the condition of the housing unit (both occupied and vacant).0NIU (not in universe)1Sound2Deteriorating3Dilapidated4Original construction inadequateDwelling Characteristics Variables -- HOUSEHOLDUnits in structure<svar v="PR90A062" a="all"><span class="em">H2. Which best describes this building? </span>Include all apartments, flats, etc., even if vacant.<br /><div class="i1">[] 1 A mobile home or trailer<br />[] 2 A one-family house detached from any other house<br />[] 3 A one-family house attached to one or more houses<br />[] 4 A building with 2 apartments<br />[] 5 A building with 3 or 4 apartments<br />[] 6 A building with 5 to 9 apartments<br />[] 7 A building with 10 to 19 apartments<br />[] 8 A building with 20 to 49 apartments<br />[] 9 A building with 50 or more apartments<br />[] 10 Other</div><br /></svar>Puerto Rico 1990: Private dwellings [discrepancies: none]This variable indicates the number of dwellings (both occupied and vacant) in the structure containing the household.00NIU (not in universe)01Mobile home or trailer02Boat, tent, van, other031-family house, detached041-family house, attached052-family building063-4 family building075-9 family building0810-19 family building0920-49 family building1050+ family buildingDwelling Characteristics Variables -- HOUSEHOLDSource of water<svar v="PR90A063" a="all"><span class="em">H14. Do you get water from --</span><br /><div class="i1">1 [ ] A public system?<br />2 [ ] An individual well?<br />3 [ ] A cistern, tanks, or drums?<br />4 [ ] A spring or some other source, such as a river, irrigation canal, etc.?</div><br /></svar>Puerto Rico 1990: Private dwellings [discrepancies: none]This variable indicates the source of the dwelling's water supply, and whether the unit supplied its own water via an individual well or was attached to a larger public or private system.0NIU (not in universe)1Public system or private company3Individual well, drilled6Cistern, tanks, or drums 8Spring or other Utilities Variables -- HOUSEHOLDSewage disposal<svar v="PR90A064" a="all"><span class="em">H15. Is this building connected to a public sewer?</span><br /><div class="i1">[ ] 1 Yes<br />[ ] 2 No, connected to septic tank or cesspool<br />[ ] 3 No use other means</div><br /></svar>Puerto Rico 1990: Private dwellings [discrepancies: none]This variable indicates each dwelling's method of sewage disposal: by a public system, a septic tank or cesspool, or another method.0NIU (not in universe)1Public sewer2Septic tank or cesspool3Other meansUtilities Variables -- HOUSEHOLDNumber of bathrooms<svar v="PR90A065" a="all"><span class="em">H17. How many bathrooms do you have? </span><br />A complete bathroom is a room with flush toilet, bathtub or shower, and wash basin with piped water. A half bathroom has a flush toilet and a wash basin with piped water.<br /><div class="i1">[ ] 1 None<br />[ ] 2 Only half bathrooms<br />[ ] 3 1 complete bathroom<br />[ ] 4 1 complete bathroom, plus half bath(s)<br />[ ] 5 2 or more complete bathrooms</div><br /></svar>Puerto Rico 1990: Private dwellings [discrepancies: none]This variable indicates the number of bathrooms (both half and complete) for each dwelling.0NIU (not in universe)20 baths 3Only half bathrooms 41 complete bathroom51 complete bathroom plus 1/2 bath(s)62+ complete bathrooms Dwelling Characteristics Variables -- HOUSEHOLDNumber of bedrooms<svar v="PR90A066" a="all"><span class="em">H16. How many bedrooms do you have; that is, how many bedrooms would you list if this (house/apartment) were on the market for sale or rent?</span><br /><div class="i1">[ ] 1 No bedroom<br />[ ] 2 1 bedroom<br />[ ] 3 2 bedrooms<br />[ ] 4 3 bedrooms<br />[ ] 5 4 bedrooms<br />[ ] 6 5 or more bedrooms</div><br /></svar>Puerto Rico 1990: Private dwellings [discrepancies: none]This variable indicates the number of bedrooms within the dwelling.9NIU (not in universe)0No bedrooms1122334455+ Dwelling Characteristics Variables -- HOUSEHOLDTelephone availability<svar v="PR90A067" a="all"><span class="em">H22. Do you have a telephone in this (house/apartment)?</span><br /><div class="i1">[ ] 1 Yes<br />[ ] 2 No</div><br /></svar>Puerto Rico 1990: Private dwellings [discrepancies: none]This variable indicates whether or not the residents of the household had telephone access.0NIU (not in universe)1No, no phone available2Yes, phone availableUtilities Variables -- HOUSEHOLDSecond mortgage monthly payment<svar v="PR90A041 PR90A040 PR90A031 PR90A033 PR90A038 PR90A039 PR90A032 PR90A068 PR90A043"><span class="em">Interviewer Instruction</span>: Ask questions H25 through H29, if this is a one-family house, a condominium, or a mobile home that someone in this household owns or is buying; otherwise, go to H30.<br /></svar></p>
<p><svar v="PR90A068" a="all"><span class="em">H28b. How much is the regular monthly payment on all second or junior mortgages and all home equity loans?</span><br /><div class="i1">$_______________ .00 Monthly amount -- Dollars<br /><br />Or<br /><br /> [] No regular payment required</div><br /></svar>Puerto Rico 1990: Households with second mortgage [discrepancies: none]This variable indicates the household's second mortgage monthly payment obligation, if any.This is a 4-digit numeric variable with 0 implied decimal placesHousehold Economic Variables -- HOUSEHOLDCooking fuel<svar v="PR90A069" a="all"><span class="em">H19. Which fuel is used for cooking? </span><br /><div class="i1">[] 1 Electricity<br />[] 2 Gas<br />[] 3 Other</div><br /></svar>Puerto Rico 1990: Private occupied dwellings [discrepancies: none]This variable indicates whether or not the household used fuel for cooking and type of fuel used.0NIU (not in universe)1No fuel used4Gas, type not specified5ElectricityUtilities Variables -- HOUSEHOLDVehicles available<svar v="PR90A070" a="all"><span class="em">H23. How many vans or trucks are kept at home for use by members of your household?</span><br /><div class="i1">[ ] 1 None<br />[ ] 2 1<br />[ ] 3 2<br />[ ] 4 3<br />[ ] 5 4 or more</div><br /></svar>Puerto Rico 1990: Private occupied dwellings [discrepancies: none]This variable indicates the number of cars, vans, and trucks of one-tone capacity or less kept at home for use by household members.9NIU (not in universe)11 available223344+0No vehicles availableAppliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDNumber of families in householdPuerto Rico 1990: Occupied dwellings [discrepancies: none]This variable indicates the number of families in the dwelling.0NIU (not in universe)11 family or group quarters22 families334455667788Constructed Household Variables -- HOUSEHOLDNumber of married couples in householdPuerto Rico 1990: Private occupied dwellings [discrepancies: none]This variable indicates the number of married couples in the household.00 couples1122339NIU (not in universe)Constructed Household Variables -- HOUSEHOLDNumber of mothers in householdPuerto Rico 1990: Private occupied dwellings [discrepancies: none]This variable indicates the number of women who are identified as residing with their children in the household.00 mothers1122339NIU (not in universe)Constructed Household Variables -- HOUSEHOLDNumber of fathers in householdPuerto Rico 1990: Private occupied dwellings [discrepancies: none]This variable indicates the number of men who are identified as residing with their children in the household.00 fathers1122339NIU (not in universe)Constructed Household Variables -- HOUSEHOLDFlag for acreage of housePuerto Rico 1990: All householdsThis variable is a data quality flag for ACREHOUS (acreage of house).0Not allocated or N/A4Allocated, hot deckHousehold Imputation Flags Variables -- HOUSEHOLDFlag for acreage of propertyPuerto Rico 1990: All householdsThis variable is a data quality flag for ACREPROP, FARM (acreage of property and farm status).0Not allocated4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDFlag for air conditionerPuerto Rico 1990: All householdsThis variable is a data quality flag for AIRCON ( air conditioner).0Not allocated4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDFlag for first mortgage monthly paymentPuerto Rico 1990: All householdsThis variable is a data quality flag MORTAMT1 (first mortgage monthly payment).0Not allocated4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDFlag for mortgage payment includes property insurancePuerto Rico 1990: All householdsThis variable is a data quality flag for INSINCL (mortgage payment includes property insurance).0Not allocated4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDFlag for second mortgage monthly paymentPuerto Rico 1990: All householdsThis variable is a data quality flag for MORTAMT2 (second monthly mortgage payment).0Not allocated4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDFlag for number of bedroomsPuerto Rico 1990: All householdsThis is data quality flag for BEDROOMS (number of bedrooms).0Not allocated4Allocated, hot deckHousehold Imputation Flags Variables -- HOUSEHOLDFlag for age of structurePuerto Rico 1990: All householdsThis variable is a data quality flag for BUILTYR (age of structure).0Not allocated5Cold deck allocation (select variables)6Don't KnowHousehold Imputation Flags Variables -- HOUSEHOLDFlag for commercial usePuerto Rico 1990: All householdsThis variable is a data quality flag for COMMUSE (commercial use).0Not allocated4Allocated, hot deckHousehold Imputation Flags Variables -- HOUSEHOLDFlag for condominium statusPuerto Rico 1990: All householdsThis variable is a data quality flag for CONDO (condominium status).0Not allocated4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDFlag for second mortgage statusPuerto Rico 1990: All householdsThis variable is a data quality flag for MORTGAG2 ( second mortgage status).0Not allocated4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDFlag for annual electricity costPuerto Rico 1990: All householdsThis variable is a data quality flag for COSTELEC (annual electricity cost).0Not allocated4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDFlag for mortgage status (qmortgag)Puerto Rico 1990: All householdsThis variable is a data quality flag for MORTGAGE ( mortgage status).0Not allocated3Allocated, direct4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDFlag for annual home heating fuel costPuerto Rico 1990: All householdsThis variable is a data quality flag for COSTFUEL (annual home heating fuel cost).0Not allocated4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDFlag for annual gas costPuerto Rico 1990: All householdsThis variable is a data quality flag for COSTGAS (annual gas cost).0Not allocated4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDFlag for annual property insurance costPuerto Rico 1990: All householdsThis variable is a data quality flag for PROPINSR (annual property insurance cost).0Not allocated4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDFlag for annual water costPuerto Rico 1990: All householdsThis variable is a data quality flag for COSTWAT (annual water cost).0Not allocated4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDFlag for annual real estate taxes, 1990Puerto Rico 1990: All householdsThis variable is a data quality flag for PROPTX99 (annual real estate taxes, 1990).0Not allocated4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDFlag for sales of farm products and farm statusPuerto Rico 1990: All householdsThis variable is a data quality flag for FARMPROD, FARM (sales of farm products and farm status).0Not allocated4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDFlag for duration of vacancyPuerto Rico 1990: All householdsThis variable is a data quality flag for VACDUR (duration of vacancy).0Not allocated4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDFlag for cooking fuel Puerto Rico 1990: All householdsThis variable is a data quality flag for FUELCOOK (cooking fuel).0Not allocated4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDFlag for heating water fuelPuerto Rico 1990: All householdsThis variable is a data quality flag for FUELWATR (heating water fuel).0Not allocated4Allocated, hot deckHousehold Imputation Flags Variables -- HOUSEHOLDFlag for hot waterPuerto Rico 1990: All householdsThis variable is a data quality flag for HOTWATER (hot water).0Not allocated3Allocated, directHousehold Imputation Flags Variables -- HOUSEHOLDFlag for kitchenPuerto Rico 1990: All householdsThis variable is a data quality flag for KITCHEN ( kitchen).0Not allocated4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDFlag for ownership of dwellingPuerto Rico 1990: All householdsThis variable is a data quality flag for OWNERSHP (ownership of dwelling).0Original entry or inapplicable (not in universe)4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDFlag for phone availabilityPuerto Rico 1990: All householdsThis variable is a data quality flag for PHONE (phone availability).0Not allocated4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDFlag for monthly contract rentPuerto Rico 1990: All householdsThis variable is a data quality flag FOR RENT, RENT30 (monthly contract rent).0Original entry or Inapplicable (not in universe)4Allocated (method not specified)Household Imputation Flags Variables -- HOUSEHOLDFlag for number of roomsPuerto Rico 1990: All householdsThis variable is a data quality flag for ROOMS (number of rooms).0Not allocated4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDFlag for sewage disposalPuerto Rico 1990: All householdsThis variable is a data quality flag for SEWAGE (sewage disposal).0Not allocated4Allocated, hot deckHousehold Imputation Flags Variables -- HOUSEHOLDFlag for substituted householdPuerto Rico 1990: All householdsThis variable is a data quality flag for substituted household.0Not allocated, substituted6Allocated, substitutedHousehold Imputation Flags Variables -- HOUSEHOLDFlag for boarded-up statusPuerto Rico 1990: All householdsThis variable is a data quality flag for VACBOARD (boarded-up status).0Not allocated4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDFlag for water sourcePuerto Rico 1990: All householdsThis variable is a data quality flag for watersrc (water source).0Not allocated4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDFlag for units in structurePuerto Rico 1990: All householdsThis variable is a data quality flag for UNITSSTR (units in structure).0Not allocated4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDFlag for vacancy statusPuerto Rico 1990: All householdsThis variable is a data quality flag for VACANCY (vacancy status).0Not allocated4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDFlag for house valuePuerto Rico 1990: All householdsThis variable is a data quality flag for VALUEH (house value).0Original entry or inapplicable (not in universe)4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDFlag for monthly condominium feePuerto Rico 1990: All householdsThis variable is a data quality flag for CONDOFEE (condo fee).0Not allocated4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDFlag for mortgage payment including real estate taxesPuerto Rico 1990: All householdsThis variable is a data quality flag for TAXINCL (mortagage payment includes real estate taxes).0Not allocated4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDHousehold typePuerto Rico 1990: Private occupied dwellings [discrepancies: none]This variable indicates the household type.0NIU (not in universe)1Married-couple family household2Male householder, no wife present3Female householder, no husband present4Male householder, living alone5Male householder, not living alone6Female householder, living alone7Female householder, not living aloneConstructed Household Variables -- HOUSEHOLDType and location of toilet facilities<svar v="PR90A059 PR90A121" a=" PR90A059"><span class="em">H4c. Is there a flush toilet in this (house/apartment)? </span><br /><div class="i1">[ ] 1 Yes -- Skip to H5<br />[ ] 2 No -- Go to H4d</div><br /></svar></p>
<p><svar v="PR90A121" a="all"><span class="em">H4d. What type of toilet facilities do you have? </span><br /><div class="i1">[ ] 1 Privy<br />[ ] 2 Other or none</div><br /></svar>Puerto Rico 1990: Private, occupied and vacant dwellings [discrepancies: none]This variable indicates the type and location of toilet facilities used by the dwelling.0NIU (not in universe)2Privy3No flush toilet or privy4Yes, in this house/apartmentDwelling Characteristics Variables -- HOUSEHOLDType of construction material<svar v="PR90A122" a="all"><span class="em">H13. Which best describes the construction material of this building?</span><br />Read categories and mark (X) only ONE box.<br />Concrete walls (poured concrete, concrete blocks, stone, etc.)<br /><div class="i1">[ ] 1 With concrete slab roof<br />[ ] 2 With wood frame roof</div><br />Wood frame walls<br /><div class="i1">[ ] 3 With concrete foundation, poured concrete, etc.<br />[ ] 4 With wood stilt foundation<br />[ ] 5 Mixed concrete and wood walls<br />[ ] 6 Other type of construction material</div><br /></svar>Puerto Rico 1990: Private, occupied and vacant dwellings [discrepancies: none]This variable indicates the type of materials used in the construction of the dwelling.0NIU (not in universe)1Masonry or concrete walls - concrete slab roof2Masonry or concrete walls - wood frame roof3Wood frame walls - masonry foundation4Wood frame walls - wood base or wood stilt foundation5Mixed concrete and wood walls6Other type of constructionDwelling Characteristics Variables -- HOUSEHOLDType of water heater<svar v="PR90A123" a="all"><span class="em">H18. What type of water heater do you have in this (house/apartment)?</span><br /><div class="i1">[ ] 1 Electric<br />[ ] 2 Shower<br />[ ] 3 Solar<br />[ ] 4 Other<br />[ ] 5 None</div><br /></svar>Puerto Rico 1990: Private occupied dwellings[discrepancies: none]This variable indicates the type of water heater used in the dwelling.0NIU (not in universe)1None / No tank type water heater2Electric, tank type3Shower4Solar5OtherUtilities Variables -- HOUSEHOLDMedical, professional or other office use of propertyPuerto Rico 1990: Private, occupied or vacant single-family houses or mobile homes [discrepancies: none]This variable indicates if there is a medical or other professional office use on the property where the dwelling is located.0NIU (not in universe)1No medical or other office use2Medical office only3Other type of office only4Both medical and other offices on propertyHousehold Economic Variables -- HOUSEHOLDData quality flag for CONSTYPR (Type of construction materials)Puerto Rico 1990: All householdsThis variable is a data quality flag for CONSTYPR (Type of construction materials).0Not allocated4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDData quality flag for HOUSQUAL (condition of housing)Puerto Rico 1990: All householdsThis variable is a data quality flag for HOUSQUAL (condition of housing).0Not allocatedHousehold Imputation Flags Variables -- HOUSEHOLDData quality flag for OFFICEPR (medical or other professional office use of property)Puerto Rico 1990: All householdsThis variable is a data quality flag for OFFICEPR (medical or other professional office use of property).0Not allocated1Allocated, assigned: medical office only2Allocated, assigned: other office use only3Allocated, assigned: both medical/other office useHousehold Imputation Flags Variables -- HOUSEHOLDData quality flag for BATHRPR2 (number of bathrooms, Puerto Rico)Puerto Rico 1990: All householdsThis variable is a data quality flag for BATHRPR2 (number of bathrooms, Puerto Rico).0Not allocated4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDData quality flag for TOILETPR (flush toilet, Puerto Rico)Puerto Rico 1990: All householdsThis variable is a data quality flag for TOILETPR (flush toilet, Puerto Rico).0Not allocated3Allocated, directHousehold Imputation Flags Variables -- HOUSEHOLDData quality flag for VEHICLE (vehicles available)Puerto Rico 1990: All householdsThis variable is a data quality flag for VEHICLE (vehicles available).0Not allocated4AllocatedHousehold Imputation Flags Variables -- HOUSEHOLDData quality flag for SHOWER (shower, Puerto Rico)Puerto Rico 1990: All householdsThis variable is a data quality flag for SHOWER (bathtub or shower, Puerto Rico).0Not allocated4Allocated, method not specifiedHousehold Imputation Flags Variables -- HOUSEHOLDPerson numberPERNUM 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 -- PERSONPerson weightPERWT 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 -- PERSONMother's location in householdMOMLOC 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 motherConstructed Family Interrelationship Variables -- PERSONFather's location in householdPOPLOC 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 fatherConstructed Family Interrelationship Variables -- PERSONSpouse's location in householdSPLOC 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 spouseConstructed Family Interrelationship Variables -- PERSONRule for linking parentPARRULE 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.00No parent of person in household11Link to head or spouse, unambiguous12Link to head or spouse, ambiguous21Child-Grandchild, within empirical child cap22Child-Grandchild, within constructed child cap23Child-Grandchild, exceeds child cap31Specified Other Relatives, within empirical child cap32Specified Other Relatives, within constructed child cap33Specified Other Relatives, exceeds child cap41Other Relatives, within empirical child cap42Other Relatives, within constructed child cap51Non-Relatives, within empirical child cap52Non-Relatives, within constructed child capConstructed Family Interrelationship Variables -- PERSONRule for linking spouseSPRULE 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.00No spouse present01Rule 1: strong relationship pairing, couple adjacent02Rule 2: strong relationship pairing, couple not adjacent03Rule 3: weak relationship pairing, couple adjacent04Rule 4: weak relationship pairing, couple not adjacent05Rule 5: weak consensual union pairings06Rule 6: sample-specific rules (usually child-to-child)Constructed Family Interrelationship Variables -- PERSONProbable stepmotherSTEPMOM 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.0Biological mother or no mother present1Mother has no children born or surviving2Child reports mother is deceased3Explicitly identified step relationship4Mother reports no children in the home5Age difference implausible6Child exceeds known fertility of motherConstructed Family Interrelationship Variables -- PERSONProbable stepfatherSTEPPOP 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.0Biological father or no father present1Child reports father is deceased2Explicitly identified step relationship3Age difference implausible4Spouse of mother5Identified as adopted6Surname difference -- male child or never-married femaleConstructed Family Interrelationship Variables -- PERSONMan with more than one wife linkedPOLYMAL 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.0No more than one wife linked via SPLOC1More than one wife linked via SPLOCConstructed Family Interrelationship Variables -- PERSONWoman is second or higher order wifePOLY2ND 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.0Person is not the 2nd or higher order wife linked via SPLOC1Person is the 2nd or higher order wife linked via SPLOCConstructed Family Interrelationship Variables -- PERSONFamily unit membershipFAMUNIT 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 -- PERSONNumber of own family members in householdFAMSIZE 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).00011 family member present00022 family members present00033 family members present000440005500066000770008800099001010001111001212001313001414001515001616001717001818001919002020002121002222002323002424002525002626002727002828002929003030003131003232003333003434003535003636003737003838003939004040004141004242004343004444004545004646004747004848004949005050005151005252005353005454005555005656005757005858005959006060006161006262006363006464006565006666006767006868006969007070007171007272007373007474007575007676007777007878007979008080008181008282008383008484008585008686008787008888008989009090009191009292009393009494009595009696009797009898009999 or more personsConstructed Family Interrelationship Variables -- PERSONNumber of own children in householdNCHILD 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.000011022033044055066077088099 or more children in householdConstructed Family Interrelationship Variables -- PERSONNumber of own children under age 5 in householdNCHLT5 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.000011022033044055066077088099 or more own children under age 5 in household98One or more children have unknown ageConstructed Family Interrelationship Variables -- PERSONAge of eldest own child in householdELDCH 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.00001102203304405506607708809910101111121213131414151516161717181819192020212122222323242425252626272728282929303031313232333334343535363637373838393940404141424243434444454546464747484849495050 or older98One or more children have unknown age99No own child in householdConstructed Family Interrelationship Variables -- PERSONAge of youngest own child in householdYNGCH 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.00001102203304405506607708809910101111121213131414151516161717181819192020212122222323242425252626272728282929303031313232333334343535363637373838393940404141424243434444454546464747484849495050 or older98One or more children have unknown age99No own child in householdConstructed Family Interrelationship Variables -- PERSONRelationship to household head [general version]RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person).1Head2Spouse/partner3Child4Other relative5Non-relative6Other relative or non-relative9UnknownDemographic Variables -- PERSONRelationship to household head [detailed version]RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person).1000Head2000Spouse/partner2100Spouse2200Unmarried partner2210Civil union2300Same-sex spouse/partner3000Child3100Biological child3200Adopted child3300Stepchild3400Child/child-in-law3500Child/child-in-law/grandchild3600Child of unmarried partner4000Other relative4100Grandchild4110Grandchild or great grandchild4120Great grandchild4130Great-great grandchild4200Parent/parent-in-law4210Parent4211Stepparent4220Parent-in-law4300Child-in-law4301Daughter-in-law4302Spouse/partner of child4310Unmarried partner of child4400Sibling/sibling-in-law4410Sibling4420Stepsibling4430Sibling-in-law4431Sibling of spouse/partner4432Spouse/partner of sibling4500Grandparent4510Great grandparent4600Parent/grandparent/ascendant4700Aunt/uncle4800Other specified relative4810Nephew/niece4820Cousin4830Sibling's sibling-in-law4900Other relative, not elsewhere classified4910Other relative with same family name4920Other relative with different family name4930Other relative, not specified (secondary family)5000Non-relative5100Friend/guest/visitor/partner5110Partner/friend5111Friend5112Partner/roommate5113Housemate/roommate5120Visitor5130Ex-spouse5140Godparent5150Godchild5200Employee5210Domestic employee5220Relative of employee, n.s.5221Spouse of servant5222Child of servant5223Other relative of servant5300Roomer/boarder/lodger/foster child5310Boarder5311Boarder or guest5320Lodger5330Foster child5340Tutored/foster child5350Tutored child5400Employee, boarder, or guest5500Other specified non-relative5510Agregado5520Temporary resident, guest5600Group quarters5610Group quarters, non-inmates5620Institutional inmates5900Non-relative, n.e.c.6000Other relative or non-relative9999UnknownDemographic Variables -- PERSONAgeAGE gives age in years as of the person's last birthday prior to or on the day of enumeration.000Less than 1 year0011 year0022 years0033004400550066007700880099010100111101212013130141401515016160171701818019190202002121022220232302424025250262602727028280292903030031310323203333034340353503636037370383803939040400414104242043430444404545046460474704848049490505005151052520535305454055550565605757058580595906060061610626206363064640656506666067670686806969070700717107272073730747407575076760777707878079790808008181082820838308484085850868608787088880898909090091910929209393094940959509696097970989809999100100+999Not reported/missingDemographic Variables -- PERSONAge, grouped into intervalsAGE2 gives computed years of age grouped into intervals.010 to 4025 to 90310 to 140415 to 19050 to 5066 to 100710 to 150811 to 140915 to 171016 to 191118 to 241220 to 241325 to 291430 to 341535 to 391640 to 441745 to 491850 to 541955 to 592060 to 642165 to 692270 to 742375 to 792480 to 842585+98UnknownDemographic Variables -- PERSONSexSEX reports the sex (gender) of the respondent.1Male2Female9UnknownDemographic Variables -- PERSONMarital 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.0NIU (not in universe)1Single/never married2Married/in union3Separated/divorced/spouse absent4Widowed9Unknown/missingDemographic Variables -- PERSONMarital 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.000NIU (not in universe)100Single/never married110Engaged111Never married and never cohabited200Married or consensual union210Married, formally211Married, civil212Married, religious213Married, civil and religious214Married, civil or religious215Married, traditional/customary216Married, monogamous217Married, polygamous219Married, spouse absent (historical samples)220Consensual union300Separated/divorced/spouse absent310Separated or divorced320Separated or annulled330Separated331Separated legally332Separated de facto333Separated from marriage334Separated from consensual union335Separated from consensual union or marriage340Annulled350Divorced400Widowed410Widowed or divorced411Widowed from consensual union or marriage412Widowed from marriage413Widowed from consensual union420Widowed, divorced, or separated999Unknown/missingDemographic Variables -- PERSONConsensual unionCONSENS indicates whether the respondent was in a consensual union -- a de facto marriage.1Yes, in consensual union2No, married8Unknown9NIU (not in universe)Demographic Variables -- PERSONChildren ever bornCHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living.00No children011 child022 children033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030+98Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONNativity statusNATIVITY indicates whether the person was native-born or foreign-born.0NIU (not in universe)1Native-born2Foreign-born9Unknown/missingNativity and Birthplace Variables -- PERSONCountry of birthBPLCOUNTRY indicates the person's country of birth.00000NIU (not in universe)10000Africa11000Eastern Africa11005British Indian Ocean Territory11010Burundi11020Comoros11030Djibouti11040Eritrea11050Ethiopia11051Ethiopia (including Eritrea)11060Kenya11070Madagascar11080Malawi11090Mauritius11100Mozambique11110Reunion11120Rwanda11130Seychelles11140Somalia11150South Sudan11160Uganda11170Tanzania11180Zambia11190Zimbabwe11999Eastern Africa, other or n.s.12000Middle Africa12010Angola12020Cameroon12030Central African Republic12040Chad12050Congo (Republic of)12060Democratic Republic of Congo12070Equatorial Guinea12080Gabon12090Sao Tome and Principe12999Middle Africa, other or n.s.13000Northern Africa13010Algeria13011Algeria/Tunisia13020Egypt13021Egypt/Sudan13030Libya13040Morocco13050Sudan13060Tunisia13070Western Sahara13999Northern Africa, other or n.s.14000Southern Africa14010Botswana14020Lesotho14030Namibia14040South Africa14050Swaziland14999Southern Africa, other or n.s.15000Western Africa15010Benin15020Burkina Faso15021Upper Volta15030Cape Verde15040Ivory Coast15050Gambia15060Ghana15070Guinea15080Guinea-Bissau15081Guinea-Bissau and Cape Verde15090Liberia15100Mali15110Mauritania15120Niger15130Nigeria15140St. Helena and Ascension15150Senegal15160Sierra Leone15170Togo15180Canary Islands15999West Africa, other or n.s.19999Africa, other or n.s.20000Americas21000Caribbean21010Anguilla21020Antigua-Barbuda21030Aruba21040Bahamas21050Barbados21060British Virgin Islands21070Cayman Isles21080Cuba21090Dominica21100Dominican Republic21110Grenada21120Guadeloupe21130Haiti21140Jamaica21150Martinique21160Montserrat21170Netherlands Antilles21180Puerto Rico21190St. Kitts-Nevis21200St. Croix21210St. John21220St. Lucia21230St Thomas21240St. Vincent21250Trinidad and Tobago21260Turks and Caicos21270U.S. Virgin Islands21991Caribbean commonwealth, n.s.21999Caribbean, other or n.s.22000Central America22010Belize/British Honduras22020Costa Rica22030El Salvador22040Guatemala22050Honduras22060Mexico22070Nicaragua22080Panama22081Panama Canal Zone22999Central America, other or n.s.23000South America23010Argentina23020Bolivia23030Brazil23040Chile23050Colombia23060Ecuador23070Falkland Islands23080French Guiana23090Guyana/British Guiana23100Paraguay23110Peru23120Suriname23130Uruguay23140Venezuela23999South America, other or n.s.24000North America24010Bermuda24020Canada24030Greenland24040United States24999North America, other or n.s.29999Americas, other or n.s.30000Asia31000Eastern Asia31010China31011Hong Kong31012Macau31013Taiwan31020Japan31030Korea31031Korea, DPR (North)31032Korea, RO (South)31040Mongolia31999Eastern Asia, other or n.s.32000South-Central Asia32010Afghanistan32020Bangladesh32030Bhutan32040India32041India/Pakistan32042India/Pakistan/Bangladesh/Sri Lanka32050Iran32060Kazakhstan32070Kyrgyzstan32080Maldives32090Nepal32100Pakistan32101Pakistan/Bangladesh32110Sri Lanka (Ceylon)32120Tajikistan32130Turkmenistan32140Uzbekistan32999South-Central Asia, other or n.s.33000South-Eastern Asia33010Brunei33020Cambodia (Kampuchea)33030East Timor33040Indonesia33050Laos33060Malaysia33070Myanmar (Burma)33080Philippines33090Singapore33100Thailand33110Vietnam33999South-Eastern Asia, other or n.s.34000Western Asia34010Armenia34020Azerbaijan34030Bahrain34040Cyprus34050Georgia34051Abkhazia34052South Ossetia34060Iraq34070Israel34071Israel/Palestine34080Jordan34090Kuwait34100Lebanon34110Palestine34111West Bank34112Gaza Strip34120Oman34130Qatar34140Saudi Arabia34150Syria34151Syria/Lebanon34160Turkey34170United Arab Emirates34180Yemen34991Middle East34999Western Asia, other or n.s.39999Asia, other or n.s.40000Europe41000Eastern Europe41010Belarus41020Bulgaria41021Bulgaria/Greece41030Czech Republic/Czechoslovakia41040Hungary41050Poland41060Moldova41070Romania41080Russia/USSR41090Slovakia41100Ukraine41991Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia41992Central-Eastern Europe41999Eastern Europe, other or n.s.42000Northern Europe42010Denmark42020Estonia42030Faroe Islands42040Finland42050Iceland42060Ireland42070Latvia42080Lithuania42090Norway42100Svalbard and Jan Mayen Islands42110Sweden42120United Kingdom42999Northern Europe, other or n.s.43000Southern Europe43010Albania43020Andorra43030Bosnia and Herzegovina43040Croatia43050Gibraltar43060Greece43070Italy43071Vatican City43080Malta43090Portugal43100San Marino43110Slovenia43120Spain43121Spain/Portugal43130Macedonia43140Yugoslavia43141Montenegro43142Serbia43143Kosovo43144Serbia and Montenegro43991Gibraltar/Malta43992Portugal/Greece43993Italy, Holy See, San Marino43999Southern Europe, other or n.s.44000Western Europe44010Austria44020Belgium44021Belgium/Luxemburg44022Belgium/Netherlands/Luxemburg44030France44040Germany44042West Germany44043Germany/Austria44044Mecklenburg-Schwerin44050Liechtenstein44060Luxembourg44070Monaco44080Netherlands44090Switzerland44991Belgium, Denmark, Luxembourg, Netherlands44999Western Europe, other or n.s.49992European Union49993European Union (original 15)49994Other European Union (not original 15)49999Europe, other or n.s.50000Oceania51000Australia and New Zealand51010Australia51020New Zealand51030Norfolk Islands51999Australia and New Zealand, n.s.52000Melanesia52010Fiji52020New Caledonia52030Papua New Guinea52040Solomon Islands52050Vanuatu (New Hebrides)52999Melanesia, n.s.53000Micronesia53010Kiribati53020Marshall Islands53030Nauru53040Northern Mariana Isls.53050Palau53060Federated States of Micronesia53999Micronesia, other or n.s.54000Polynesia54010Cook Islands54020French Polynesia54030Niue54040Pitcairn Island54050Western Samoa54060Eastern Samoa54070Tokelau54080Tonga54090Tuvalu54100Wallis and Futuna Isls.54999Polynesia, other or n.s.55000U.S. Pacific Possessions55010American Samoa55020Baker Island55030Guam55040Howland Island55050Johnston Atoll55060Kingman Reef55070Midway Islands55080Wake Island55999US Pacific, other or n.s.59999Oceania, other or n.s.80000AT SEA90000Other countries n.s.99999UnknownNativity and Birthplace Variables -- PERSONCitizenshipCITIZEN indicates the person's citizenship status within the country in which they were enumerated.1Citizen, not specified2Citizen by birth3Naturalized citizen4Not a citizen5Without citizenship, stateless8Unknown9NIU (not in universe)Nativity and Birthplace Variables -- PERSONYear of immigration, categorizedYRIMM2 indicates the calendar year that a foreign-born person came to live in their country of residence, categorized into intervals.000NIU (not in universe)0011885 to 18890021890 to 18940031895 to 18990041900 to 19040051900 to 19170061905 to 19090071910 to 19140081915 to 1919009Before 19180101918 to 19440111920 to 19240121925 to 19290131930 to 1934014Before 19310151931 to 19400161935 to 1939017Before 19430181940 to 19440191941 to 1950020Before 19460211943 to 19460221945 to 19490231945 to 19610241946 to 19550251946 to 19600261947 to 1953027Before 19480281948 to 19550291948 to 1964030Before 1950031Before 19510321950 to 19540331950 to 19590341951 to 19600351954 to 19580361955 to 19590371955 to 19600381959 to 1960039Before 1960040Before 19610411960 to 19640421961 to 19630431961 to 19640441961 to 19700451961 to 19710461962 to 19740471964 to 19650481964 to 19660491965 to 19690501965 to 1971051196505219660531966 to 19680541967 to 19690551967056196805719690581969 to 19700591970 to 19710601970 to 19720611970 to 197406219700631971 to 198006419710651972 to 19740661972 to 19790671972 to 19830681975 to 19790691975 to 19800701975 to 19810711980 to 19810721980 to 19890731981 to 19850741981 to 19860751981 to 19900761982 to 19840771982 to 19890781985 to 198607919860801986 to 199108119870821987 to 1990083198808419890851990 to 19910861990 to 19980871991 to 19940881991 to 19950891991 to 19960901991 to 20000911992 to 19950921992 to 20080931995 to 19980941996 to 20020951999 to 20010961999 to 20060971999 to 20110982001 to 20060992001 to 2011998UnknownNativity and Birthplace Variables -- PERSONU.S. state of birth, Puerto RicoBPLPR indicates the person's United States state of birth for residents of Puerto Rico.01Alabama02Alaska AK04Arizona AZ05Arkansas AR06California CA08Colorado CO09Connecticut CT10Delaware DE11District of Columbia DC12Florida FL13Georgia GA15Hawaii HI17Illinois IL18Indiana IN19Iowa IA20Kansas KS21Kentucky KY22Louisiana LA23Maine ME24Maryland MD25Massachusetts MA26Michigan MI27Minnesota MN28Mississippi MS29Missouri MO30Montana MT31Nebraska NE32Nevada NV33New Hampshire NH34New Jersey NJ35New Mexico NM36New York NY37North Carolina NC38North Dakota ND39Ohio OH40Oklahoma OK41Oregon OR42Pennsylvania PA44Rhode Island RI45South Carolina SC46South Dakota SD47Tennessee TN48Texas TX49Utah UT50Vermont VT51Virginia VA53Washington WA54West Virginia WV55Wisconsin WI57Wyoming WY72Puerto Rico90Other US, Outlying Areas and Territories97Foreign country98UnknownNativity and Birthplace Variables -- PERSONSpeaks EnglishSPEAKENG indicates whether the respondent could speak English or if English was the respondent's language of literacy.1Yes2No7Does not speak8Unknown9NIU (not in universe)Ethnicity and Language Variables -- PERSONSchool attendanceSCHOOL 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.0NIU (not in universe)1Yes2No, not specified3No, attended in the past4No, never attended9Unknown/missingEducation Variables -- PERSONLiteracyLIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both.0NIU (not in universe)1No, illiterate2Yes, literate9Unknown/missingEducation Variables -- PERSONEducational 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.0NIU (not in universe)1Less than primary completed2Primary completed3Secondary completed4University completed9UnknownEducation Variables -- PERSONEducational 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.000NIU (not in universe)100Less than primary completed (n.s.)110No schooling120Some primary completed130Primary (4 yrs) completed211Primary (5 yrs) completed212Primary (6 yrs) completed221Lower secondary general completed222Lower secondary technical completed311Secondary, general track completed312Some college completed320Secondary or post-secondary technical completed321Secondary, technical track completed322Post-secondary technical education400University completed999Unknown/missingEducation Variables -- PERSONEducational attainment, Puerto RicoEDUCPR indicates the person's educational attainment in Puerto Rico in terms of the level of schooling completed.000NIU (not in universe)100None110Nursery school120Kindergarten200Primary210Primary, grade 1 to 4211Primary, grade 1212Primary, grade 2213Primary, grade 3214Primary, grade 4220Primary, grade 5 to 8221Primary, grade 5222Primary, grade 6223Primary, grade 7224Primary, grade 8300High School (secondary)301High school, grade 9302High school, grade 10303High school, grade 11305High school, grade 12306High school graduate307High school graduate, regular diploma308High school graduate, GED or alternative credential400Post-secondary401Post-secondary, year 1402Post-secondary, year 2403Post-secondary, year 3404Post-secondary, year 4405Post-secondary, year 5406Post-secondary, year 6410Some college, no degree420University / College degree421Associate degree, type not specified422Associate degree, occupational423Associate degree, academic program424Bachelor's degree425Master's degree426Professional degree427Doctorate degreeEducation Variables -- PERSONActivity 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".0NIU (not in universe)1Employed2Unemployed3Inactive9Unknown/missingWork Variables -- PERSONActivity 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".000NIU (not in universe)100Employed, not specified110At work111At work, and 'student'112At work, and 'housework'113At work, and 'seeking work'114At work, and 'retired'115At work, and 'no work'116At work, and other situation117At work, family holding, not specified118At work, family holding, not agricultural119At work, family holding, agricultural120Have job, not at work in reference period130Armed forces131Armed forces, at work132Armed forces, not at work in reference period133Military trainee140Marginally employed200Unemployed, not specified201Unemployed 6 or more months202Worked fewer than 6 months, permanent job203Worked fewer than 6 months, temporary job210Unemployed, experienced worker220Unemployed, new worker230No work available240Inactive unemployed300Inactive (not in labor force)301Unavailable jobseekers302Available potential jobseekers310Housework320Health reasons, unable to work, or disabled321Permanent disability322Temporary illness323Disabled or imprisoned330In school340Retirees and living on rent341Living on rents342Living on rents or pension343Retirees/pensioners344Retired345Pensioner346Non-retirement pension347Disability pension348Retired without benefits350Elderly351Elderly or disabled360Institutionalized361Prisoner370Intermittent worker371Not working, seasonal worker372Not working, occasional worker380Other income recipient390Inactive, other reasons391Too young to work392Dependent999Unknown/missingWork Variables -- PERSONLabor force participationLABFORCE 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.1No, not in the labor force2Yes, in the labor force8Unknown9NIU (not in universe)Work Variables -- PERSONOccupation, ISCO generalOCCISCO 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.01Legislators, senior officials and managers02Professionals03Technicians and associate professionals04Clerks05Service workers and shop and market sales06Skilled agricultural and fishery workers07Crafts and related trades workers08Plant and machine operators and assemblers09Elementary occupations10Armed forces11Other occupations, unspecified or n.e.c.97Response suppressed98Unknown99NIU (not in universe)Work Variables -- PERSONOccupation, unrecodedOCC 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 -- PERSONIndustry, general recodeINDGEN 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.000NIU (not in universe)010Agriculture, fishing, and forestry020Mining and extraction030Manufacturing040Electricity, gas, water and waste management050Construction060Wholesale and retail trade070Hotels and restaurants080Transportation, storage, and communications090Financial services and insurance100Public administration and defense110Services, not specified111Business services and real estate112Education113Health and social work114Other services120Private household services130Other industry, n.e.c.998Response suppressed999UnknownWork Variables -- PERSONIndustry, 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 -- PERSONStatus 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.0NIU (not in universe)1Self-employed2Wage/salary worker3Unpaid worker4Other9Unknown/missingWork Variables -- PERSONStatus 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.000NIU (not in universe)100Self-employed101Self-employed, unincorporated102Self-employed, incorporated110Employer111Sharecropper, employer120Working on own account121Own account, agriculture122Domestic worker, self-employed123Subsistence worker, own consumption124Own account, other125Own account, without temporary/unpaid help126Own account, with temporary/unpaid help130Member of cooperative140Sharecropper141Sharecropper, self-employed142Sharecropper, employee150Kibbutz member199Self-employed, not specified200Wage/salary worker201Management202Non-management203White collar (non-manual)204Blue collar (manual)205White or blue collar206Day laborer207Employee, with a permanent job208Employee, occasional, temporary, contract209Employee without legal contract210Wage/salary worker, private employer211Apprentice212Religious worker213Wage/salary worker, non-profit, NGO214White collar, private215Blue collar, private216Paid family worker217Cooperative employee220Wage/salary worker, government or public sector221Federal, government employee222State government employee223Local government employee224White collar, public225Blue collar, public226Public companies227Civil servants, local collectives230Domestic worker (work for private household)240Seasonal migrant241Seasonal migrant, no broker242Seasonal migrant, uses broker250Other wage and salary251Canal zone/commission employee252Government employment/training program253Mixed state/private enterprise/parastatal254Government public work program255State enterprise employee256Coordinated and continuous collaboration job300Unpaid worker310Unpaid family worker320Apprentice, unpaid or unspecified330Trainee340Apprentice or trainee350Works for others without wage400Other999Unknown/missingWork Variables -- PERSONMonths worked last yearWRKMTHS gives the number of months that the respondent worked for profit, pay, or as an unpaid family worker during the previous year.00Less than one month011 month022 months033 months044 months055 months066 months077 months088 months099 months1010 months1111 months1212 months98Not reported/unknown99NIU (not in universe)Work Variables -- PERSONHours worked per weekHRSWORK1 indicates the number of hours the respondent worked per week at all jobs.0000 hours0011 hour0022 hours0033 hours0044 hours0055 hours0066 hours0077 hours0088 hours0099 hours01010 hours01111 hours01212 hours01313 hours01414 hours01515 hours01616 hours01717 hours01818 hours01919 hours02020 hours02121 hours02222 hours02323 hours02424 hours02525 hours02626 hours02727 hours02828 hours02929 hours03030 hours03131 hours03232 hours03333 hours03434 hours03535 hours03636 hours03737 hours03838 hours03939 hours04040 hours04141 hours04242 hours04343 hours04444 hours04545 hours04646 hours04747 hours04848 hours04949 hours05050 hours05151 hours05252 hours05353 hours05454 hours05555 hours05656 hours05757 hours05858 hours05959 hours06060 hours06161 hours06262 hours06363 hours06464 hours06565 hours06666 hours06767 hours06868 hours06969 hours07070 hours07171 hours07272 hours07373 hours07474 hours07575 hours07676 hours07777 hours07878 hours07979 hours08080 hours08181 hours08282 hours08383 hours08484 hours08585 hours08686 hours08787 hours08888 hours08989 hours09090 hours09191 hours09292 hours09393 hours09494 hours09595 hours09696 hours09797 hours09898 hours09999 hours100100 hours101101 hours102102 hours103103 hours104104 hours105105 hours106106 hours107107 hours108108 hours109109 hours110110 hours111111 hours112112 hours113113 hours114114 hours115115 hours116116 hours117117 hours118118 hours119119 hours120120 hours121121 hours122122 hours123123 hours124124 hours125125 hours126126 hours127127 hours128128 hours129129 hours130130 hours131131 hours132132 hours133133 hours134134 hours135135 hours136136 hours137137 hours138138 hours139139 hours140140+ hours998Unknown999NIU (not in universe)Work Variables -- PERSONHours worked per week, categorizedHRSWORK2 indicates the number of hours the respondent worked per week at all jobs, categorized into intervals.0None11 to 14 hours (except tt1980, tt1990 and tt2000)215 to 29 hours (except de1970, ps2017, tt1980, tt1990, tt2000, and ve1971)330 to 39 hours (except de1970, ps2017, tt1980, tt1990, tt2000, and ve1971)440-48 hours (except il1972, tt1980, tt1990, and tt2000)549 hours or more (except il1972 and tt2000)8Unknown9NIU (not in universe)Work Variables -- PERSONUsual hours worked per weekHRSUSUAL1 indicates the usual number of hours the respondent works in a typical week across all jobs or in their main job.0000 hours0011 hour0022 hours0033004400550066007700880099010100111101212013130141401515016160171701818019190202002121022220232302424025250262602727028280292903030031310323203333034340353503636037370383803939040400414104242043430444404545046460474704848049490505005151052520535305454055550565605757058580595906060061610626206363064640656506666067670686806969070700717107272073730747407575076760777707878079790808008181082820838308484085850868608787088880898909090091910929209393094940959509696097970989809999100100101101102102103103104104105105106106107107108108109109110110111111112112113113114114115115116116117117118118119119120120121121122122123123124124125125126126127127128128129129130130131131132132133133134134135135136136137137138138139139140140+ hours997Inconsistent or irregular work schedule998Unknown999NIU (Not in universe)Work Variables -- PERSONUsual hours worked per week, categorizedHRSUSUAL2 indicates the usual number of hours the respondent worked per week at all jobs or in their main job, categorized into intervals.0None11 to 14 hours (except ca1971)215 to 29 hours (except de1970, ca1971)330 to 39 hours (except de1970)440-48 hours (except il1972-1995, ca1971, pt1991-2011)549 hours or more (except il1972 and ca1971)7Inconsistent or irregular work schedule8Unknown9NIU (not in universe)Work Variables -- PERSONAvailable to workWRKAVAIL indicates whether a person is available to work (readiness) within a short period of time.1Yes2No8Unknown9NIU (Not in universe)Work Variables -- PERSONMeans of transportation to work or schoolTRNWRK 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.00NIU (not in universe)10None, does not travel to work or school20Walking21Walks or bicycle22Walks, bicycle, or motorcycle30Private vehicle31Auto, truck, van32Auto (driver)33Auto (passenger)34Auto, motorcycle, moped35Motorcycle, moped, or scooter36Bicycle37Bicycle or motorcycle/moped38Boat40Public transportation41Bus or trolley bus42Bus or streetcar43Streetcar or trolley car44Railroad or train45Subway or elevated train46Other public transportation50Other51Taxicab52Ferryboat53Special transportation (company coach, school bus, etc.)54Hired transport55Shared private transport56Horse or animal-drawn vehicle57Other, not elsewhere classified60Combination of several means99Unknown/missingWork Variables -- PERSONTotal incomeINCTOT 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: -20,000Income Variables -- PERSONEarned incomeINCEARN 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: -9,900Income Variables -- PERSONWage and salary incomeINCWAGE 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 -- PERSONSelf-employment incomeINCSELF 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: -9,999Income Variables -- PERSONIncome from anti-poverty or welfare programsINCWEL 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 -- PERSONRetirement or pension incomeINCRET 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 -- PERSONCountry of residence 5 years agoMIGCTRY5 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.00000NIU (not in universe)10000Africa11000Eastern Africa11010Burundi11020Comoros11030Djibouti11040Eritrea11050Ethiopia11060Kenya11070Madagascar11080Malawi11090Mauritius11100Mozambique11110Reunion11120Rwanda11130Seychelles11140Somalia11150South Sudan11160Uganda11170Tanzania11180Zambia11190Zimbabwe11999Eastern Africa, n.s.12000Middle Africa12010Angola12020Cameroon12030Central African Republic12040Chad12050Congo12060Democratic Republic of Congo12070Equatorial Guinea12080Gabon12090Sao Tome and Principe12999Middle Africa, n.s.13000Northern Africa13010Algeria13020Egypt/United Arab Rep.13030Libya13040Morocco13050Sudan13060Tunisia13070Western Sahara13999Northern Africa, n.s.14000Southern Africa14010Botswana14020Lesotho14030Namibia14040South Africa14050Swaziland14999Southern Africa, n.s.15000Western Africa15010Benin15020Burkina Faso15030Cape Verde15040Ivory Coast15050Gambia15060Ghana15070Guinea15080Guinea-Bissau15090Liberia15100Mali15110Mauritania15120Niger15130Nigeria15140St. Helena and Ascension15150Senegal15160Sierra Leone15170Togo15999Western Africa, n.s.19999Africa, n.s.20000Americas21000Caribbean21010Anguilla21020Antigua-Barbuda21030Aruba21040Bahamas21050Barbados21060British Virgin Islands21070Cayman Isles21080Cuba21090Dominica21100Dominican Republic21110Grenada21120Guadeloupe21130Haiti21140Jamaica21150Martinique21160Montserrat21170Netherlands Antilles21180Puerto Rico21190St. Kitts-Nevis21200St. Croix21210St. John21220St. Lucia21230St. Thomas21240St. Vincent21250Trinidad and Tobago21260Turks and Caicos21270U.S. Virgin Islands21280Curacao21290Sint Maarten21999Caribbean, n.s.22000Central America22010Belize/British Honduras22020Costa Rica22030El Salvador22040Guatemala22050Honduras22060Mexico22070Nicaragua22080Panama22081Panama Canal Zone22990Central America, n.s.22991Central America and Caribbean23000South America23010Argentina23020Bolivia23030Brazil23040Chile23050Colombia23060Ecuador23070Falkland Islands23080French Guiana23090Guyana/British Guiana23100Paraguay23110Peru23120Suriname23130Uruguay23140Venezuela23999South America, n.s.24000North America24010Bermuda24020Canada24030Greenland24040United States24041U.S. Outlying Areas and Territories24999North or Central America, n.s.29999Americas, n.s.30000Asia31000Eastern Asia31010China31011Hong Kong31012Macau31013Taiwan31020Japan31030Korea31031Korea, DPR (North)31032Korea, RO (South)31040Mongolia32000South-Central Asia32010Afghanistan32020Bangladesh32030Bhutan32040India32050Iran32060Kazakhstan32070Kyrgyzstan32080Maldives32090Nepal32100Pakistan32110Sri Lanka (Ceylon)32120Tajikistan32130Turkmenistan32140Uzbekistan32900South Asia, not specified33000South-Eastern Asia33010Brunei33020Cambodia (Kampuchea)33030East Timor33040Indonesia33050Laos33060Malaysia33070Myanmar (Burma)33080Philippines33090Singapore33100Thailand33110Vietnam33900South-Eastern Asia, not specified34000Western Asia34010Armenia34020Azerbaijan34030Bahrain34040Cyprus34050Georgia34060Iraq34070Israel34080Jordan34090Kuwait34100Lebanon34110Palestine34120Oman34130Qatar34140Saudi Arabia34150Syria34151Syria/Lebanon34160Turkey34170United Arab Emirates34180Yemen34999Middle East, n.e.c.39999Asia, n.s.40000Europe41000Eastern Europe41010Belarus41020Bulgaria41030Czech Republic41040Hungary41050Poland41060Moldova41070Romania41080Russia/USSR41090Slovakia41100Ukraine41999Eastern Europe, n.e.c.42000Northern Europe42010Denmark42020Estonia42030Faroe Islands42040Finland42050Iceland42060Ireland42070Latvia42080Lithuania42090Norway42110Sweden42120United Kingdom42199Scandinavia42999Northern Europe, n.e.c.43000Southern Europe43010Albania43020Andorra43030Bosnia43040Croatia43050Gibraltar43060Greece43070Italy43080Malta43090Portugal43100San Marino43110Slovenia43120Spain43130Macedonia43140Yugoslavia43141Montenegro43142Serbia43143Kosovo43999Southern Europe, n.s.44000Western Europe44010Austria44020Belgium44021Belgium/Luxembourg44022Benelux (Belgium/Netherlands/Luxembourg)44030France44040Germany44050Liechtenstein44060Luxembourg44070Monaco44080Netherlands44090Switzerland44999Western Europe, n.e.c.49999Europe, n.s.50000Oceania51000Australia and New Zealand51010Australia51020New Zealand51030Norfolk Islands51999Australia and New Zealand, n.s.52000Melanesia52010Fiji52020New Caledonia52030Papua New Guinea52040Solomon Islands52050Vanuatu (New Hebrides)52999Melanesia, n.e.c.53000Micronesia53010Kiribati53020Marshall Islands53030Nauru53040Northern Mariana Isls.53050Palau53999Micronesia, n.e.c.54000Polynesia54010Cook Islands54020French Polynesia54030Niue54040Pitcairn Island54050Samoa54060Tokelau54070Tonga54080Tuvalu54090Wallis and Futuna Isls.54999Polynesia, n.e.c.59999Oceania, n.s.60000Other60010Other Arab country90000Non-migrants (international)99998Response suppressed99999UnknownMigration: Global Variables -- PERSONYears residing in current dwellingMIGYRS2 indicates the number of years that the respondent has lived in his/her current dwelling.00Less than 1 year011 year022 years03304405506607708809910101111121213131414151516161717181819192020212122222323242425252626272728282929303031313232333334343535363637373838393940404141424243434444454546464747484849495050515152525353545455555656575758585959606061616262636364646565666667676868696970707171727273737474757576767777787879798080818182828383848485858686878788888989909091919292939394949595 or more98Unknown99NIU (not in universe)Migration: Global Variables -- PERSONPersonal care limitationDISCARE indicates whether the respondent had any permanent condition that made it difficult for him/her to take care of their personal needs.0NIU (not in universe)1Yes, personal care limitation2No personal care limitation9UnknownDisability Variables -- PERSONIndependent mobility difficultyDISINDEP 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.0NIU (not in universe)1Mobility limited2No mobility limitation8UnknownDisability Variables -- PERSONWork disabilityDISWORK 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.0NIU (not in universe)1No disability that affects work2Disability causes difficulty or limits work3Disability prevents work4UnknownDisability Variables -- PERSONPerson number (within household)Puerto Rico 1990: All personsThis variable indicates the person number (within household).00Household record0110220330440550660770880991010111112121313141415151616Technical Person Variables -- PERSONPerson number in sample unitPuerto Rico 1990: All personsThis variable indicates all persons within each household consecutively in the order in which they appear on the original census or survey form.0110220330440550660770880991010111112121313141415151616Technical Person Variables -- PERSONPerson weightPuerto Rico 1990: All personsThis variable indicates how many persons in the U.S. population are represented by a given person in an IPUMS sample.This is a 4-digit numeric variable with 0 implied decimal placesTechnical Person Variables -- PERSONMother's location in the householdPuerto Rico 1990: All personsThis variable indicates whether the person's mother lived in the same household and, if so, gives the person number of the mother.0000110220330440550660770880991010111112121313Constructed Family Interrelationship Variables -- PERSONProbable step/adopted motherPuerto Rico 1990: All personsThis variable indicates whether a person's mother is likely to be the person's stepmother or adoptive mother.0No stepmother present1Improbable age difference2Spouse of father3Identified stepmotherConstructed Family Interrelationship Variables -- PERSONRule for linking motherPuerto Rico 1990: All personsThis variable indicates why the IPUMS variable MOMLOC linked the person to a probable mother.0No mother link1Unambiguous mother link2Daughter/grandchild link3Preceding female (no intervening person)7Spouse of father becomes stepmotherConstructed Family Interrelationship Variables -- PERSONFather's location in the householdPuerto Rico 1990: All personsThis variable indicates whether the person's father lived in the same household and, if so, gives the person number of the father.000011022033044055066077088099101011111212Constructed Family Interrelationship Variables -- PERSONProbable step/adopted fatherPuerto Rico 1990: All personsThis variable indicates whether a person's father is likely to be the person's stepfather or adoptive father.0No stepfather present1Improbable age difference2Spouse of mother3Identified stepfatherConstructed Family Interrelationship Variables -- PERSONRule for linking fatherPuerto Rico 1990: All personsThis variable indicates the reason why the IPUMS variable POPLOC linked the person to a probable father.0No father link1Unambiguous father link2Son/granchild link3Preceding male (no intervening person)7Husband of mother becomes stepfatherConstructed Family Interrelationship Variables -- PERSONSpouse's location in householdPuerto Rico 1990: All personsThis variable indicates whether the person's spouse lived in the same household and, if so, gives the person number of the spouse.0000110220330440550660770880991010111112121313Constructed Family Interrelationship Variables -- PERSONRule for linking spousePuerto Rico 1990: All personsThis variable indicates the reason why the IPUMS variable POPLOC linked the person to a probable spouse.0No spouse link1Wife follows husband2Wife precedes husband3Non-adjacent links -- consistent relationship to head/age differences4Adjacent links (wife follows husband -- no age, other relative conflicts)5Adjacent links (wife precedes husband -- no age, other relative conflicts)Constructed Family Interrelationship Variables -- PERSONNumber of own family members in householdPuerto Rico 1990: All personsThis variable indicates the number of own family members residing with each individual, including the person her/himself.011 family member present022 family members present033 family members present044 family members present055 family members present066 family members present077 family members present088 family members present099 family members present1010 family members present1111 family members present1212 family members present1313 family members present1414 family members present1515 family members present1616 family members presentConstructed Family Interrelationship Variables -- PERSONNumber of own children in the householdPuerto Rico 1990: All personsThis variable indicates the number of own children (of any age or marital status) residing with each individual.00 children present11 child present2233445566778899+Constructed Family Interrelationship Variables -- PERSONNumber of own children under age 5 in householdPuerto Rico 1990: All personsThis variable indicates the number of own children age 4 and under residing with each individual.0No children under age 511 child under age 522334455Constructed Family Interrelationship Variables -- PERSONFamily unit membershipPuerto Rico 1990: All personsThis variable indicates which family within the housing unit each person belongs to.11st family in household or group quarters22nd family in household or group quarters33rd44th55th66th77th88thConstructed Family Interrelationship Variables -- PERSONAge of youngest own child in householdPuerto Rico 1990: Persons in private, occupied dwellings with children in the household [discrepancies: none]This variable indicates the age of the youngest own child (if any) residing with each individual, regardless of the child's age or marital status.00Less than 1 year old0110220330440550660770880991010111112121313141415151616171718181919202021212222232324242525262627272828292930303131323233333434353536363737383839394040414142424343444445454646474748484949505051515252535354545555565657575858595960606161626263636464656566666767686869697070717172727373747475757676787880808181828299NIU (not in universe)Constructed Family Interrelationship Variables -- PERSONNumber of own siblings in householdPuerto Rico 1990: All personsThis variable indicates the number of own siblings (including half-siblings, step-siblings, and adopted siblings) residing with each individual.00 siblings11 sibling22 siblings33 siblings44 siblings55 siblings66 siblings77 siblings88 siblings99 or more siblingsConstructed Family Interrelationship Variables -- PERSONRelationship to household headPuerto Rico 1990: All personsThis variable indicates an individual's relationship to the head of the household or householder.0101Head/householder0201Spouse0301Child0303Stepchild0401Child-in-law0501Parent0601Parent-in-law0701Sibling0801Sibling-in-law0901Grandchild1001Other relatives, n.s.1011Grandparent1021Aunt or uncle1031Nephew, niece1041Cousin1061Other relatives, n.e.c.1114Unmarried partner1115Housemate/roommate1240Roomer/boarders/lodgers and foster children1260Other non-relatives 1270Non-inmate (includes military, students, employees, boarders)1301Institutional inmatesDemographic Variables -- PERSONAge<svar v="PR90A418" a="all"><span class="em">4. Age and year of birth</span><br /><br /><div class="i1">a. Age _ _ _<br /><br />b. Year of birth 1_ _ _ _</div><br /></svar>Puerto Rico 1990: All personsThis variable indicates person's age in years.00Less than 1 year old011022033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030313132323333343435353636373738383939404041414242434344444545464647474848494950505151525253535454555556565757585859596060616162626363646465656666676768686969707071717272737374747575767677777878797980808181828283838484858586868787888889899090+Demographic Variables -- PERSONSex<svar v="PR90A419" a="all"><span class="em">3. Is [respondent] male or female? </span><br /><br />Mark (X) one for each person.<br /><div class="i1">[] 1 Male<br />[] 2 Female</div><br /></svar>Puerto Rico 1990: All personsThis variable indicates the sex of the individual.1Male2FemaleDemographic Variables -- PERSONMarital status<svar v="PR90A420 PR90A560" a="all"><span class="em">5. Marital status</span><br /><br />Mark (X) one box.<br /><br /><div class="i1">[] 1 Now married<br />[] 2 Consensually married<br />[] 3 Widowed<br />[] 4 Divorced<br />[] 5 Separated<br />[] 6 Never married</div><br /></svar>Puerto Rico 1990: All personsThis variable indicates the marital status of the individual.1Married, spouse present2Married, spouse absent3Separated4Divorced5Widowed6Never married/singleDemographic Variables -- PERSONChildren ever bornPuerto Rico 1990: Females, age 15+This variable indicates the number of children, whether or not the children were still living, ever born to each woman (excluding stillbirths, adopted children, and stepchildren).000011022033044055066077088099101011111212 or more99NIU (not in universe)Fertility and Mortality Variables -- PERSONBirthplace<svar v="PR90A421 PR90A424" a="PR90A421"><span class="em">6. Where was [respondent] born?</span><br /><br />Mark (X) the appropriate box and print the name of municipio, State, or foreign country.<br /><br /><div class="i1">[] 1 Puerto Rico --> print name of municipio ____<br />[] 2 United States --> print name of U.S. State ____<br />[] 3 Elsewhere --> print name of foreign country ____</div><br /></svar>Puerto Rico 1990: All personsThis variable indicates the state or country of birth of the individual.00100Alabama00200Alaska00400Arizona00500Arkansas00600California00800Colorado00900Connecticut01000Delaware01100District of Columbia01200Florida01300Georgia01500Hawaii01600Idaho01610Idaho territory01700Illinois01800Indiana01900Iowa02000Kansas02100Kentucky02200Louisiana02300Maine02400Maryland02500Massachusetts02600Michigan02700Minnesota02800Mississippi02900Missouri03000Montana03100Nebraska03200Nevada03300New Hampshire03400New Jersey03500New Mexico03600New York03700North Carolina03800North Dakota03900Ohio04000Oklahoma04100Oregon04200Pennsylvania04400Rhode Island04500South Carolina04600South Dakota04700Tennessee04800Texas04900Utah05000Vermont05100Virginia05300Washington05400West Virginia05500Wisconsin05600Wyoming11000Puerto Rico11500U.S. Virgin Islands12020Midway Islands12051Baker Island12054Kingman Reef15000Canada16010Bermuda20000Mexico21010Belize/British Honduras21020Costa Rica21030El Salvador21040Guatemala21050Honduras21060Nicaragua21070Panama25000Cuba26010Dominican Republic26020Haiti26030Jamaica26043Bahamas26044Barbados26045British Virgin Islands26053Cayman Isles26054Dominica26056Montserrat26057St. Kitts-Nevis26058St. Lucia26059St. Vincent26060Trinidad and Tobago26071Aruba26072Netherlands Antilles26081Guadeloupe26090Antilles, n.s.26094West Indies, n.s.30005Argentina30010Bolivia30015Brazil30020Chile30025Colombia30030Ecuador30040Guyana/British Guiana30050Peru30060Uruguay30065Venezuela30090South America, n.s.40400Norway41000England41300United Kingdom, n.s./ n.e.c.42000Belgium42100France42500Netherlands42600Switzerland43100Andorra43300Greece43400Italy43500Malta43600Portugal43800Spain45000Austria45300Germany45310West Germany, n.e.c.45400Hungary45500Poland45600Romania45700Yugoslavia46000Estonia46500Other USSR/"Russia"49900Europe, n.s.50000China50010Hong Kong50100Japan50200Korea50210North Korea50220South Korea51300Laos51500Philippines51700Thailand51800Vietnam52100India52140Pakistan53200Iraq53400Israel/Palestine53420Palestine53500Jordan53700Lebanon53800Oman54000Saudi Arabia54100Syria60024Guinea60099Africa, n.s./n.e.c.70020New Zealand71010New Caledonia71025Western Samoa71047Northern Mariana Islands90010Abroad, n.s.Nativity and Birthplace Variables -- PERSONMother's birthplace<svar v="PR90A422" a="all"><span class="em">11b. Where was [respondent's] mother born?</span><br /><div class="i1">[] 1 Puerto Rico<br />[] 2 United States<br />[] 3 Elsewhere -- Print name of foreign country: ____</div><br /></svar>Puerto Rico 1990: All personsThis variable indicates individual's mother state or country of birth.09900United States, n.s.11000Puerto Rico11500U.S. Virgin Islands12000Other U.S. possessions12054Kingman Island15000Canada19900North America, n.s.20000Mexico21010Belize/British Honduras21020Costa Rica21030El Salvador21040Guatemala21050Honduras21060Nicaragua21070Panama25000Cuba26010Dominican Republic26020Haiti26030Jamaica26042Antigua-Barbuda26044Barbados26045British Virgin Islands, n.e.c.26053Cayman Isles26054Dominica26056Montserrat26057St. Kitts-Nevis26058St. Lucia26059St. Vincent26060Trinidad and Tobago26072Netherlands Antilles26082Martinique26090Antilles, n.s.26091Caribbean, n.s. / n.e.c.26093Leeward Islands, n.s.26094West Indies, n.s.30005Argentina30010Bolivia30015Brazil30020Chile30025Colombia30030Ecuador30040Guyana/British Guiana30050Peru30060Uruguay30065Venezuela40100Finland40400Norway41000England41300United Kingdom, n.s.41400Ireland42000Belgium42100France42500Netherlands42600Switzerland43000Albania43300Greece43400Italy43500Malta43600Portugal43620Madeira Islands43700San Marino43800Spain44000Southern Europe, n.s.45000Austria45300Germany45343East Berlin45400Hungary45500Poland45600Romania45700Yugoslavia46000Estonia46590USSR, n.s./n.e.c.49900Europe, n.e.c./n.s.50000China50010Hong Kong50100Japan50200Korea50210North Korea50220South Korea51300Laos51500Philippines51700Thailand51800Vietnam52100India52200Iran53400Israel/Palestine53420Palestine53500Jordan53700Lebanon53800Oman54000Saudi Arabia54100Syria60013Libya60099Africa, n.s./n.e.c.70020New Zealand71025Western Samoa90010Abroad, n.s.Nativity and Birthplace Variables -- PERSONFather's birthplace<svar v="PR90A423" a="all"><span class="em">11a. Where was [respondent's] father born?</span><br /><div class="i1">[] 1 Puerto Rico<br />[] 2 United States<br />[] 3 Elsewhere -- Print name of foreign country: ____</div><br /></svar>Puerto Rico 1990: All personsThis variable indicates individual's father state or country of birth.09900United States, n.s.11000Puerto Rico11500U.S. Virgin Islands12000Other U.S. possessions15000Canada19900North America, n.s.20000Mexico21010Belize/British Honduras21020Costa Rica21030El Salvador21040Guatemala21050Honduras21060Nicaragua21070Panama25000Cuba26010Dominican Republic26020Haiti26030Jamaica26041Anguilla26042Antigua-Barbuda26044Barbados26045British Virgin Islands26053Cayman Isles26054Dominica26056Montserrat26057St. Kitts-Nevis26058St. Lucia26059St. Vincent26060Trinidad and Tobago26061Turks and Caicos26071Aruba26072Netherlands Antilles26081Guadeloupe26090Antilles, n.s.26094West Indies, n.s.30005Argentina30010Bolivia30015Brazil30020Chile30025Colombia30030Ecuador30035French Guiana30040Guyana/British Guiana30045Paraguay30050Peru30060Uruguay30065Venezuela30090South America, n.s.40000Denmark40010Faroe Islands40100Finland40400Norway40500Sweden41000England41011Guernsey41100Scotland41300United Kingdom, n.s.41400Ireland42000Belgium42100France42500Netherlands42600Switzerland43300Greece43400Italy43500Malta43600Portugal43610Azores43800Spain45000Austria45300Germany45340East Germany45343East Berlin45400Hungary45500Poland45600Romania46200Lithuania46590USSR, n.s.49900Europe, n.e.c./n.s.50000China50010Hong Kong50040Taiwan50100Japan50200Korea50210North Korea50220South Korea51300Laos51500Philippines51700Thailand51800Vietnam52100India52140Pakistan52200Iran53200Iraq53400Israel/Palestine53420Palestine53500Jordan53700Lebanon54000Saudi Arabia54100Syria54200Turkey60013Libya60099Africa, n.s./n.e.c.70020New Zealand90010Abroad, n.s.Nativity and Birthplace Variables -- PERSONCitizenship status<svar v="PR90A421 PR90A424" a="PR90A421"><span class="em">6. Where was [respondent] born?</span><br /><br />Mark (X) the appropriate box and print the name of municipio, State, or foreign country.<br /><br /><div class="i1">[] 1 Puerto Rico --> print name of municipio ____<br />[] 2 United States --> print name of U.S. State ____<br />[] 3 Elsewhere --> print name of foreign country ____</div><br /></svar></p>
<p><svar v="PR90A424" a="all">If the answer to question 6 appears in one of the first two "Yes" categories listed below, mark (X) the appropriate "Yes" category. Otherwise, ask<br /><br /><span class="em">7. Is [respondent] a citizen of the United States? That is does [respondent] have at least one American parent or is [respondent] a citizen by naturalization? </span><br /><div class="i1">[] 1 Yes, born in Puerto Rico -- Skip to 9<br />[] 2 Yes, born in the United States, Guam, the U.S. Virgin Islands, or Northern Marianas<br />[] 3 Yes, born abroad of American parent or parents<br />[] 4 Yes, U.S. citizen by naturalization<br />[] 5 No, not a citizen of the United States</div><br /></svar>Puerto Rico 1990: Foreign-born persons [discrepancies: none]This variable indicates the citizenship status of the indvidual, distinguishing between naturalized citizens and non-citizens.0NIU (not in universe)1Born abroad of American parents2Naturalized citizen3Not a citizenNativity and Birthplace Variables -- PERSONSpeaks English<svar v="PR90A425" a="all"><span class="em">15b. Can [respondent] speak English? If "Yes", does [respondent] speak English easily or with difficulty?</span><br /><div class="i1">[] 1 Yes, easily<br />[] 2 Yes, with difficulty<br />[] 3 No</div><br /></svar>Puerto Rico 1990: Persons age 5+ [discrepancies: none]This variable indicates if the responsent was able to speak English.0NIU (not in universe)1Does not speak English5Yes, speaks well6Yes, but not wellEthnicity and Language Variables -- PERSONSchool attendance<svar v="PR90A426" a="all"><span class="em">9. At any time since February 1, 1990, has [respondent] attended regular school or college?</span><br /><br />Include only pre-kindergarten, kindergarten, elementary school, and schooling which leads to a high school diploma or a college degree.<br /><br />If "Yes," ask -- Public or private?<br /><br /><div class="i1">[] 1 No, has not attended since February 1<br />[] 2 Yes, public school, public college<br />[] 3 Yes, private school, private college</div><br /></svar>Puerto Rico 1990: Persons age 3+ [discrepancies: none]This variable indicates whether the respondent attended school during a specified period (last two months).0NIU (not in universe)1No, not in school2Yes, in schoolEducation Variables -- PERSONEducational attainment<svar v="PR90A427 PR90A428" a="all"><span class="em">10. How much school has [respondent] completed?</span><br /><br />Read categories if person is unsure. Mark (X) one box for the highest level completed or degree received. If currently enrolled, mark the previous grade attended or highest degree received.<br /><div class="i1">[] 30 No school completed<br />[] 31 Pre-kindergarten<br />[] 32 Kindergarten<br /><br />Grades 1 - 11<br />[] 1 1st<br />[] 2 2nd<br />[] 3 3rd<br />[] 4 4th<br />[] 5 5th<br />[] 6 6th<br />[] 7 7th<br />[] 8 8th<br />[] 9 9th<br />[] 10 10th<br />[] 11 11th<br />[] 12 12th grade, no diploma<br />[] 13 High school graduate -- high school diploma or the equivalent (for example: GED)<br />[] 14 Some college but no degree<br />[] 15 Associate degree in college -- Occupational program<br />[] 16 Associate degree in college -- Academic program<br />[] 17 Bachelor's degree (for example: BA, AB, BS)<br />[] 18 Master's degree (for example: MA, MS, MEng, MEd, MSW, MBA)<br />[] 19 Professional school degree (for example: MD, DDS, DVM, LLB, JD)<br />[] 20 Doctorate degree (for example: PhD, EdD)</div><br /></svar>Puerto Rico 1990: Persons age 3+ [discrepancies: none]This variable indicates the respondent's highest level of educational attainment.00NIU (not in universe)01No school completed02Nursery school03Kindergarten041st-4th grade055th-8th grade069th grade0710th grade0811th grade0912th grade, no diploma10High school graduate, or GED11Some college, no degree12Associate degree, occupational program13Associate degree, academic program14Bachelor's degree15Master's degree16Professional degree17Doctorate degreeEducation Variables -- PERSONEducational attainment recode<svar v="PR90A427 PR90A428" a="all"><span class="em">10. How much school has [respondent] completed?</span><br /><br />Read categories if person is unsure. Mark (X) one box for the highest level completed or degree received. If currently enrolled, mark the previous grade attended or highest degree received.<br /><div class="i1">[] 30 No school completed<br />[] 31 Pre-kindergarten<br />[] 32 Kindergarten<br /><br />Grades 1 - 11<br />[] 1 1st<br />[] 2 2nd<br />[] 3 3rd<br />[] 4 4th<br />[] 5 5th<br />[] 6 6th<br />[] 7 7th<br />[] 8 8th<br />[] 9 9th<br />[] 10 10th<br />[] 11 11th<br />[] 12 12th grade, no diploma<br />[] 13 High school graduate -- high school diploma or the equivalent (for example: GED)<br />[] 14 Some college but no degree<br />[] 15 Associate degree in college -- Occupational program<br />[] 16 Associate degree in college -- Academic program<br />[] 17 Bachelor's degree (for example: BA, AB, BS)<br />[] 18 Master's degree (for example: MA, MS, MEng, MEd, MSW, MBA)<br />[] 19 Professional school degree (for example: MD, DDS, DVM, LLB, JD)<br />[] 20 Doctorate degree (for example: PhD, EdD)</div><br /></svar>Puerto Rico 1990: Persons age 3+ [discrepancies: none]This variable indicates a recoded combination of two separate IPUMS variables, HIGRADE and EDUC99, that measure educational attainment in different ways.0NIU (not in universe)1None or preschool2Grade 1, 2, 3, or 43Grade 5, 6, 7, or 84Grade 95Grade 106Grade 117Grade 1281 to 3 years of college94+ years of collegeEducation Variables -- PERSONEmployment status<svar v="PR90A429" a="all"><span class="em">22a. Did [respondent] work at any time last week, either full time or part time?</span><br /><br />Work includes part-time work such as delivering papers, or helping without pay in a family business or farm; it also includes active duty in the U.S. Armed Forces. Work does NOT include own housework, school work, or volunteer work.<br /><br /><div class="i1">[] 1 Yes<br />[] 2 No -- Skip to 26.</div><br /></svar></p>
<p><svar v="PR90A429 PR90A444" a="PR90A444"><span class="em">26. Was [respondent] on layoff from a job or business last week?</span><br />If "No," ask -- Was [respondent] temporarily absent or on vacation from a job or business last week?<br /><div class="i1">[] 1 Yes, on layoff<br />[] 2 Yes, on vacation, temporary illness, labor dispute, etc.<br />[] 3 No</div><br /></svar></p>
<p><svar v="PR90A429 PR90A445" a="PR90A445"><span class="em">27a. Has [respondent] been looking for work during the last 4 weeks?</span><br /><div class="i1">[] 1 Yes<br />[] 2 No -- Skip to 28</div><br /></svar></p>
<p><svar v="PR90A429 PR90A446" a="PR90A446"><span class="em">27b. Could [respondent] have taken a job last week if one had been offered?</span><br />If "No," ask -- For what reason?<br /><div class="i1">[] 1 No, already has a job<br />[] 2 No, temporarily ill<br />[] 3 No, other reasons (in school, etc.)<br />[] 4 Yes, could have taken job</div><br /></svar>Puerto Rico 1990: Persons age 16+ [discrepancies: none]This varibale indicates whether the respondent was a part of the labor force - working or seeking work - and, if so, whether the person was currently unemployed00NIU (not in universe)10At work12Has job, not working14Armed forces--at work15Armed forces--with job but not at work20Unemployed30Not in labor forceWork Variables -- PERSONOccupation, 1950 basis<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A430 PR90A431 PR90A435 PR90A436">29-31. The following questions ask about the job worked last week. If [respondent] had more than one job, describe the one [respondent] worked the most hours. If [respondent] didn't work, the questions refer to the most recent job or business since 1985.<br /></svar></p>
<p><svar v=" PR90A430 PR90A431" a="all"><span class="em">30a. What kind of work was [respondent] doing? </span><br /><div class="i1">____</div><br />(For example: registered nurse, personnel manager, supervisor of order department,<br />cake icer)<br /><br /></svar>Puerto Rico 1990: Persons age 16+ who had worked within the previous five years [discrepancies: none]This variable indicates the 1950 Census Bureau ocupational classification system to the occupation activity of the individual, referring to the job hold during last week or the most recent.000Accountants and auditors001Actors and actresses002Airplane pilots and navigators003Architects004Artists and art teachers005Athletes006Authors007Chemists008Chiropractors009Clergymen010College presidents and deans012Professors and instructors, agricultural sciences013Professors and instructors, biological sciences014Professors and instructors, chemistry015Professors and instructors, economics016Professors and instructors, engineering017Professors and instructors, geology and geophysics018Professors and instructors, mathematics019Professors and instructors, medical sciences023Professors and instructors, physics024Professors and instructors, psychology025Professors and instructors, statistics026Professors and instructors, natural science (n.e.c.)027Professors and instructors, social sciences (n.e.c.)028Professors and instructors, nonscientific subjects029Professors and instructors, subject not specified031Dancers and dancing teachers032Dentists033Designers034Dieticians and nutritionists035Draftsmen036Editors and reporters041Engineers, aeronautical042Engineers, chemical043Engineers, civil044Engineers, electrical045Engineers, industrial046Engineers, mechanical047Engineers, metallurgical, metallurgists048Engineers, mining049Engineers (n.e.c.)051Entertainers (n.e.c.)052Farm and home management advisors053Foresters and conservationists054Funeral directors and embalmers055Lawyers and judges056Librarians057Musicians and music teachers058Nurses, professional059Nurses, student professional061Agricultural scientists062Biological scientists063Geologists and geophysicists067Mathematicians068Physicists069Miscellaneous natural scientists070Optometrists071Osteopaths072Personnel and labor relations workers073Pharmacists074Photographers075Physicians and surgeons076Radio operators077Recreation and group workers078Religious workers079Social and welfare workers, except group081Economists082Psychologists083Statisticians and actuaries084Miscellaneous social scientists091Sports instructors and officials092Surveyors093Teachers (n.e.c.)094Technicians, medical and dental095Technicians, testing096Technicians (n.e.c.)097Therapists and healers (n.e.c.)098Veterinarians099Professional, technical and kindred workers (n.e.c.)100Farmers (owners and tenants)123Farm managers200Buyers and department heads, store201Buyers and shippers, farm products203Conductors, railroad204Credit men205Floormen and floor managers, store210Inspectors, public administration230Managers and superintendents, building240Officers, pilots, pursers and engineers, ship250Officials and administrators (n.e.c.), public administration260Officials, lodge, society, union, etc.270Postmasters280Purchasing agents and buyers (n.e.c.)290Managers, officials, and proprietors (n.e.c.)300Agents (n.e.c.)301Attendants and assistants, library302Attendants, physician's and dentist's office304Baggagemen, transportation305Bank tellers310Bookkeepers320Cashiers321Collectors, bill and account322Dispatchers and starters, vehicle325Express messengers and railway mail clerks335Mail carriers340Messengers and office boys341Office machine operators342Shipping and receiving clerks350Stenographers, typists, and secretaries360Telegraph messengers365Telegraph operators370Telephone operators380Ticket, station, and express agents390Clerical and kindred workers (n.e.c.)400Advertising agents and salesmen410Auctioneers420Demonstrators430Hucksters and peddlers450Insurance agents and brokers460Newsboys470Real estate agents and brokers480Stock and bond salesmen490Salesmen and sales clerks (n.e.c.)500Bakers501Blacksmiths502Bookbinders503Boilermakers504Brickmasons, stonemasons, and tile setters505Cabinetmakers510Carpenters511Cement and concrete finishers512Compositors and typesetters513Cranemen, derrickmen, and hoistmen514Decorators and window dressers515Electricians520Electrotypers and stereotypers521Engravers, except photoengravers522Excavating, grading, and road machinery operators523Foremen (n.e.c.)524Forgemen and hammermen525Furriers530Glaziers531Heat treaters, annealers, temperers532Inspectors, scalers, and graders, log and lumber533Inspectors (n.e.c.)534Jewelers, watchmakers, goldsmiths, and silversmiths535Job setters, metal540Linemen and servicemen, telegraph, telephone, and power541Locomotive engineers542Locomotive firemen543Loom fixers544Machinists545Mechanics and repairmen, airplane550Mechanics and repairmen, automobile551Mechanics and repairmen, office machine552Mechanics and repairmen, radio and television553Mechanics and repairmen, railroad and car shop554Mechanics and repairmen (n.e.c.)555Millers, grain, flour, feed, etc.560Millwrights561Molders, metal562Motion picture projectionists563Opticians and lens grinders and polishers564Painters, construction and maintenance565Paperhangers570Pattern and model makers, except paper571Photoengravers and lithographers572Piano and organ tuners and repairmen573Plasterers574Plumbers and pipe fitters575Pressmen and plate printers, printing580Rollers and roll hands, metal581Roofers and slaters582Shoemakers and repairers, except factory583Stationary engineers584Stone cutters and stone carvers585Structural metal workers590Tailors and tailoresses591Tinsmiths, coppersmiths, and sheet metal workers592Tool makers, and die makers and setters593Upholsterers594Craftsmen and kindred workers (n.e.c.)595Members of the armed services600Apprentice auto mechanics601Apprentice bricklayers and masons602Apprentice carpenters603Apprentice electricians604Apprentice machinists and toolmakers605Apprentice mechanics, except auto610Apprentice plumbers and pipe fitters611Apprentices, building trades (n.e.c.)612Apprentices, metalworking trades (n.e.c.)613Apprentices, printing trades614Apprentices, other specified trades615Apprentices, trade not specified620Asbestos and insulation workers621Attendants, auto service and parking622Blasters and powdermen623Boatmen, canalmen, and lock keepers624Brakemen, railroad625Bus drivers630Chainmen, rodmen, and axmen, surveying631Conductors, bus and street railway632Deliverymen and routemen633Dressmakers and seamstresses, except factory634Dyers635Filers, grinders, and polishers, metal640Fruit, nut, and vegetable graders, and packers, except factory641Furnacemen, smeltermen and pourers642Heaters, metal643Laundry and dry cleaning operatives644Meat cutters, except slaughter and packing house645Milliners650Mine operatives and laborers660Motormen, mine, factory, logging camp, etc.661Motormen, street, subway, and elevated railway662Oilers and greaser, except auto670Painters, except construction or maintenance671Photographic process workers672Power station operators673Sailors and deck hands674Sawyers675Spinners, textile680Stationary firemen681Switchmen, railroad682Taxicab drivers and chauffers683Truck and tractor drivers684Weavers, textile685Welders and flame cutters690Operative and kindred workers (n.e.c.)700Housekeepers, private household710Laundressses, private household720Private household workers (n.e.c.)730Attendants, hospital and other institution731Attendants, professional and personal service (n.e.c.)732Attendants, recreation and amusement740Barbers, beauticians, and manicurists750Bartenders751Bootblacks752Boarding and lodging house keepers753Charwomen and cleaners754Cooks, except private household760Counter and fountain workers761Elevator operators762Firemen, fire protection763Guards, watchmen, and doorkeepers764Housekeepers and stewards, except private household770Janitors and sextons771Marshals and constables772Midwives773Policemen and detectives780Porters781Practical nurses782Sheriffs and bailiffs783Ushers, recreation and amusement784Waiters and waitresses785Watchmen (crossing) and bridge tenders790Service workers, except private household (n.e.c.)810Farm foremen820Farm laborers, wage workers830Farm laborers, unpaid family workers840Farm service laborers, self-employed910Fishermen and oystermen920Garage laborers and car washers and greasers930Gardeners, except farm, and groundskeepers940Longshoremen and stevedores950Lumbermen, raftsmen, and woodchoppers960Teamsters970Laborers (n.e.c.)999NIU (not in universe)Work: Occupation Variables -- PERSONOccupation<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A430 PR90A431 PR90A435 PR90A436">29-31. The following questions ask about the job worked last week. If [respondent] had more than one job, describe the one [respondent] worked the most hours. If [respondent] didn't work, the questions refer to the most recent job or business since 1985.<br /></svar></p>
<p><svar v=" PR90A430 PR90A431" a="all"><span class="em">30a. What kind of work was [respondent] doing? </span><br /><div class="i1">____</div><br />(For example: registered nurse, personnel manager, supervisor of order department,<br />cake icer)<br /><br /></svar>Puerto Rico 1990: Persons age 16+ who had worked within the previous five years, and persons seeking work who last worked more than 5 years ago [discrepancies: none]This variable indicates the respondent's primary occupation during last week or the most recent, coded into a contemporary census classification scheme.000NIU003Legislators004Chief executives and general administrators, public administration005Administrators and officials, public administration006Administrators, protective services007Financial managers008Personnel and labor relations managers009Purchasing managers013Managers, marketing, advertising, and public relations014Administrators, education and related fields015Managers, medicine and health016Postmasters and mail superintendents017Managers, food serving and lodging establishments018Managers, properties and real estate019Funeral directors021Managers, service organizations, n.e.c.022Managers and administrators, n.e.c.023Accountants and auditors024Underwriters025Other financial officers026Management analysts027Personnel, training, and labor relations specialists028Purchasing agents and buyers, farm products029Buyers, wholesale and retail trade, except farm products033Purchasing agents and buyers, n.e.c.034Business and promotion agents035Construction inspectors036Inspectors and compliance officers, except construction037Management related occupations, n.e.c.043Architects044Engineers, aerospace045Engineers, metallurgical and materials047Engineers, petroleum048Engineers, chemical049Engineers, nuclear053Engineers, civil055Engineers, electrical and electronic056Engineers, industrial057Engineers, mechanical059Engineers, n.e.c.063Surveyors and mapping scientists064Computer systems analysts and scientists065Operations and systems researchers and analysts067Statisticians068Mathematical scientists, n.e.c.069Physicists and astronomers073Chemists, except biochemists074Atmospheric and space scientists075Geologists and geodesists076Physical scientists, n.e.c.077Agricultural and food scientists078Biological and life scientists079Forestry and conservation scientists083Medical scientists084Physicians085Dentists087Optometrists089Health diagnosing practitioners, n.e.c.095Registered nurses096Pharmacists097Dietitians098Respiratory therapists099Occupational therapists103Physical therapists104Speech therapists105Therapists, n.e.c.106Physicians' assistants114Biological science teachers115Chemistry teachers116Physics teachers118Psychology teachers119Economics teachers123History teachers125Sociology teachers126Social science teachers, n.e.c.127Engineering teachers128Mathematical science teachers129Computer science teachers133Medical science teachers134Health specialties teachers135Business, commerce, and marketing teachers136Agriculture and forestry teachers137Art, drama, and music teachers138Physical education teachers139Education teachers143English teachers144Foreign language teachers145Law teachers146Social work teachers147Theology teachers148Trade and industrial teachers149Home economics teachers153Teachers, postsecondary, n.e.c.154Postsecondary teachers, subject n.s.155Teachers, prekindergarten and kindergarten156Teachers, elementary school157Teachers, secondary school158Teachers, special education159Teachers, n.e.c.163Counselors, educational and vocational164Librarians165Archivists and curators166Economists167Psychologists168Sociologists169Social scientists, n.e.c.173Urban planners174Social workers175Recreation workers176Clergy177Religious workers, n.e.c.178Lawyers179Judges183Authors184Technical writers185Designers186Musicians and composers187Actors and directors188Painters, sculptors, craft-artists, and artist printmakers189Photographers193Dancers194Artists, performers, and related workers, n.e.c.195Editors and reporters197Public relations specialists198Announcers199Athletes203Clinical laboratory technologists and technicians204Dental hygienists205Health record technologists and technicians206Radiologic technicians207Licensed practical nurses208Health technologists and technicians, n.e.c.213Electrical and electronic technicians214Industrial engineering technicians215Mechanical engineering technicians216Engineering technicians, n.e.c.217Drafting occupations218Surveying and mapping technicians223Biological technicians224Chemical technicians225Science technicians n.e.c.226Airplane pilots and navigators227Air traffic controllers228Broadcast equipment operators229Computer programmers233Tool programmers, numerical control234Legal assistants235Technician, n.e.c.243Supervisors and proprietors, sales occupations253Insurance sales occupations254Real estate sales occupations255Securities and financial services sales occupations256Advertising and related sales occupations257Sales occupations, other business services258Sales engineers259Sales representatives, mining, manufacturing, and wholesale263Sales workers, motor vehicles and boats264Sales workers, apparel265Sales workers, shoes266Sales workers, furniture and home furnishings267Sales workers, radio, TV, hi-fi, and appliances268Sales workers, hardware and building supplies269Sales workers, parts274Sales workers, other commodities275Sales counter clerks276Cashiers277Street and door-to-door sales workers278News vendors283Demonstrators, promoters and models, sales284Auctioneers285Sales support occupations, n.e.c.303Supervisors, general office304Supervisors, computer equipment operators305Supervisors, financial records processing306Chief communications operators307Supervisors; distribution, scheduling, and adjusting clerks308Computer operators309Peripheral equipment operators313Secretaries314Stenographers315Typists316Interviewers317Hotel clerks318Transportation ticket and reservation agents319Receptionists323Information clerks, n.e.c.325Classified-ad clerks326Correspondence clerks327Order clerks328Personnel clerks, except payroll and timekeeping329Library clerks335File clerks336Records clerks337Bookkeepers, accounting, and auditing clerks338Payroll and timekeeping clerks339Billing clerks343Cost and rate clerks344Billing, posting, and calculating machine operators345Duplicating machine operators346Mail preparing and paper handling machine operators347Office machine operators, n.e.c.348Telephone operators353Communications equipment operators, n.e.c.354Postal clerks except mail carriers355Mail carriers, postal service356Mail clerks, except postal service357Messengers359Dispatchers363Production coordinators364Traffic, shipping, and receiving clerks365Stock and inventory clerks366Meter readers368Weighers, measurers, checkers, and samplers373Expediters374Material recording, scheduling, and distributing clerks, n.e.c.375Insurance adjusters, examiners, and investigators376Investigators and adjusters, except insurance377Eligibility clerks, social welfare378Bill and account collectors379General office clerks383Bank tellers384Proofreaders385Data-entry keyers386Statistical clerks387Teachers' aides389Administrative support occupations, n.e.c.403Launderers and ironers404Cooks, private household405Housekeepers and butlers406Child care workers, private household407Private household cleaners and servants413Supervisors, firefighting and fire prevention occupations414Supervisors, police and detectives415Supervisors, guards416Fire inspection and fire prevention occupations417Firefighting occupations418Police and detectives, public service423Sheriffs, bailiffs, and other law enforcement officers424Correctional institution officers425Crossing guards426Guards and police, except public service427Protective service occupations, n.e.c.433Supervisors, food preparation and service occupations434Bartenders435Waiters and waitresses436Cooks438Food counter, fountain and related occupations439Kitchen workers, food preparation443Waiters'/waitresses' assistants444Miscellaneous food preparation occupations445Dental assistants446Health aides, except nursing447Nursing aides, orderlies, and attendants448Supervisors, cleaning and building service workers449Maids and housemen453Janitors and cleaners454Elevator operators455Pest control occupations456Supervisors, personal service occupations457Barbers458Hairdressers and cosmetologists459Attendants, amusement and recreation facilities461Guides462Ushers463Public transportation attendants464Baggage porters and bellhops465Welfare service aides466Family child care providers467Early childhood teachers' assistants468Child care workers, n.e.c.469Personal service occupations, n.e.c.473Farmers, except horticultural474Horticultural specialty farmers475Managers, farms, except horticultural476Managers, horticultural specialty farms477Supervisors, farm workers479Farm workers483Marine life cultivation workers484Nursery workers485Supervisors, related agricultural occupations486Groundskeepers and gardeners, except farm487Animal caretakers, except farm488Graders and sorters, agricultural products489Inspectors, agricultural products494Supervisors, forestry, and logging workers495Forestry workers except logging496Timber cutting and logging occupations498Fishers499Hunters and trappers503Supervisors, mechanics and repairers505Automobile mechanics506Automobile mechanic apprentices507Bus, truck, and stationary engine mechanics508Aircraft engine mechanics509Small engine repairers514Automobile body and related repairers515Aircraft mechanics, except engine516Heavy equipment mechanics517Farm equipment mechanics518Industrial machinery repairers519Machinery maintenance occupations523Electronic repairers, communications and industrial equipment525Data processing equipment repairers526Household appliance and power tool repairers527Telephone line installers and repairers529Telephone installers and repairers533Misc. electrical and electronic equipment repairers534Heating, air conditioning, and refrigeration mechanics535Camera, watch, and musical instrument repairers536Locksmiths and safe repairers538Office machine repairers539Mechanical controls and valve repairers543Elevator installers and repairers544Millwrights547Mechanics and repairers, n.e.c.549Mechanics and repairers, n.s.553Supervisors, brickmasons, stonemasons, and tile setters554Supervisors, carpenters and related workers555Supervisors, electricians and power transmission installers556Supervisors, painters, paperhangers, and plasterers557Supervisors, plumbers, pipefitters, and steamfitters558Supervisors, construction, n.e.c.563Brickmasons and stonemasons565Tile setters, hard and soft566Carpet installers567Carpenters569Carpenter apprentices575Electricians576Electrician apprentices577Electrical power installers and repairers579Painters, construction and maintenance583Paperhangers584Plasterers585Plumbers, pipefitters, and steamfitters588Concrete and terrazzo finishers589Glaziers593Insulation workers594Paving, surfacing, and tamping equipment operators595Roofers596Sheetmetal duct installers597Structural metal workers598Drillers, earth599Construction trades, n.e.c.613Supervisors, extractive occupations614Drillers, oil well615Explosives workers616Mining machine operators617Mining occupations, n.e.c.628Supervisors, production occupations634Tool and die makers635Tool and die maker apprentices636Precision assemblers, metal637Machinists644Precision grinders, filers, and tool sharpeners646Lay-out workers647Precious stones and metals workers (jewelers)649Engravers, metal653Sheet metal workers655Miscellaneous precision metal workers657Cabinet makers and bench carpenters658Furniture and wood finishers659Miscellaneous precision woodworkers666Dressmakers667Tailors668Upholsterers669Shoe repairers674Miscellaneous precision apparel and fabric workers675Hand molders and shapers, except jewelers676Patternmakers, lay-out workers, and cutters677Optical goods workers678Dental laboratory and medical appliance technicians679Bookbinders683Electrical and electronic equipment assemblers684Miscellaneous precision workers, n.e.c.686Butchers and meat cutters687Bakers688Food batchmakers689Inspectors, testers, and graders693Adjusters and calibrators694Water and sewage treatment plant operators695Power plant operators696Stationary engineers699Miscellaneous plant and system operators703Lathe and turning machine set-up operators704Lathe and turning machine operators705Milling and planing machine operators706Punching and stamping press machine operators707Rolling machine operators708Drilling and boring machine operators709Grinding, abrading, buffing, and polishing machine operators713Forging machine operators714Numerical control machine operators715Miscellaneous metal, plastic, stone, and glass working machine operators717Fabricating machine operators, n.e.c.719Molding and casting machine operators723Metal plating machine operators724Heat treating equipment operators725Miscellaneous metal and plastic processing machine operators726Wood lathe, routing, and planing machine operators727Sawing machine operators728Shaping and joining machine operators733Miscellaneous woodworking machine operators734Printing press operators735Photoengravers and lithographers736Typesetters and compositors737Miscellaneous printing machine operators738Winding and twisting machine operators739Knitting, looping, taping, and weaving machine operators743Textile cutting machine operators744Textile sewing machine operators745Shoe machine operators747Pressing machine operators748Laundering and dry cleaning machine operators749Miscellaneous textile machine operators753Cementing and gluing machine operators754Packaging and filling machine operators755Extruding and forming machine operators756Mixing and blending machine operators757Separating, filtering, and clarifying machine operators758Compressing and compacting machine operators759Painting and paint spraying machine operators763Roasting and baking machine operators, food764Washing, cleaning, and pickling machine operators765Folding machine operators766Furnace, kiln, and oven operators, except food768Crushing and grinding machine operators769Slicing and cutting machine operators773Motion picture projectionists774Photographic process machine operators777Miscellaneous machine operators, n.e.c.779Machine operators, n.s.783Welders and cutters784Solderers and brazers785Assemblers786Hand cutting and trimming occupations787Hand molding, casting, and forming occupations789Hand painting, coating, and decorating occupations793Hand engraving and printing occupations795Miscellaneous hand working occupations796Production inspectors, checkers, and examiners797Production testers798Production samplers and weighers799Graders and sorters, except agricultural803Supervisors, motor vehicle operators804Truck drivers806Driver-sales workers808Bus drivers809Taxicab drivers and chauffeurs813Parking lot attendants814Motor transportation occupations, n.e.c.823Railroad conductors and yardmasters824Locomotive operating occupations828Ship captains and mates, except fishing boats829Sailors and deckhands833Marine engineers834Bridge, lock, and lighthouse tenders843Supervisors, material moving equipment operators844Operating engineers845Longshore equipment operators848Hoist and winch operators849Crane and tower operators853Excavating and loading machine operators855Grader, dozer, and scraper operators856Industrial truck and tractor equipment operators859Miscellaneous material moving equipment operators864Supervisors, handlers, equipment cleaners, and laborers, n.e.c.865Helpers, mechanics and repairers866Helpers, construction trades867Helpers, surveyor868Helpers, extractive occupations869Construction laborers874Production helpers875Garbage collectors876Stevedores877Stock handlers and baggers878Machine feeders and offbearers883Freight, stock, and material handlers, n.e.c.885Garage and service station related occupations887Vehicle washers and equipment cleaners888Hand packers and packagers889Laborers, except construction903Commissioned Officers and Warrant Officers904Non-commissioned Officers and Other Enlisted Personnel905Military occupation, rank not specified909Last worked 1984 or earlierWork: Occupation Variables -- PERSONOccupational income scorePuerto Rico 1990: Persons age 16+ who had worked within the previous five years [discrepancies: none]This variable indicates occupational income scores to each occupation.00NIU (not in universe)03304405506607708809910101111121213131414151516161717181819192020212122222323242425252626272728282929303031313232333334343535363637373838393940404141424243434444454546464747484849495050525254545858606061616262636379798080Work Variables -- PERSONDuncan Socioeconomic IndexPuerto Rico 1990: Persons age 16+ who had worked within the previous five years [discrepancies: none]This variable indicates the Duncan Socioeconomic Index (SEI) score to each occupation.00NIU (not in universe)0330440550660770880991010111112121313141415151616171718181919202021212222232324242525262627272828292930303131323233333434353536363737383839394040414142424343444445454646474748484949505051515252535354545555565658585959606061616262636364646565666667676868696972727373747475757676777778787979808081818282838384848585868687879090929293939696Work Variables -- PERSONIndustry, 1950 basisPuerto Rico 1990: Persons age 16+ who had worked within the previous five years, not new workers [discrepancies: none]This variable indicates the respondent's job industry code according to the 1950 Census Bureau industrial classification system.000NIU (not in universe)105Agriculture116Forestry126Fisheries206Metal mining216Coal mining226Crude petroleum and natural gas extraction236Nonmetallic mining and quarrying, except fuel239Mining, not specified246Construction306Logging307Sawmills, planing mills, and mill work308Miscellaneous wood products309Furniture and fixtures316Glass and glass products317Cement, concrete, gypsum and plaster products318Structural clay products319Pottery and related products326Miscellaneous nonmetallic mineral and stone products336Blast furnaces, steel works, and rolling mills337Other primary iron and steel industries338Primary nonferrous industries346Fabricated steel products347Fabricated nonferrous metal products348Not specified metal industries356Agricultural machinery and tractors357Office and store machines and devices358Miscellaneous machinery367Electrical machinery, equipment, and supplies376Motor vehicles and motor vehicle equipment377Aircraft and parts378Ship and boat building and repairing379Railroad and miscellaneous transportation equipment386Professional equipment and supplies387Photographic equipment and supplies388Watches, clocks, and clockwork-operated devices399Miscellaneous manufacturing industries406Meat products407Dairy products408Canning and preserving fruits, vegetables, and seafoods409Grain-mill products416Bakery products417Confectionery and related products418Beverage industries419Miscellaneous food preparations and kindred products426Not specified food industries429Tobacco manufactures436Knitting mills437Dyeing and finishing textiles, except knit goods438Carpets, rugs, and other floor coverings439Yarn, thread, and fabric mills446Miscellaneous textile mill products448Apparel and accessories449Miscellaneous fabricated textile products456Pulp, paper, and paperboard mills457Paperboard containers and boxes458Miscellaneous paper and pulp products459Printing, publishing, and allied industries466Synthetic fibers467Drugs and medicines468Paints, varnishes, and related products469Miscellaneous chemicals and allied products476Petroleum refining477Miscellaneous petroleum and coal products478Rubber products487Leather: tanned, curried, and finished488Footwear, except rubber489Leather products, except footwear499Not specified manufacturing industries506Railroads and railway express service516Street railways and bus lines526Trucking service527Warehousing and storage536Taxicab service546Water transportation556Air transportation567Petroleum and gasoline pipe lines568Services incidental to transportation578Telephone579Telegraph586Electric light and power587Gas and steam supply systems588Electric-gas utilities596Water supply597Sanitary services598Other and not specified utilities606Motor vehicles and equipment607Drugs, chemicals, and allied products608Dry goods apparel609Food and related products616Electrical goods, hardware, and plumbing equipment617Machinery, equipment, and supplies618Petroleum products619Farm products--raw materials626Miscellaneous wholesale trade627Not specified wholesale trade636Food stores, except dairy products637Dairy products stores and milk retailing646General merchandise stores647Five and ten cent stores656Apparel and accessories stores, except shoe657Shoe stores658Furniture and house furnishing stores659Household appliance and radio stores667Motor vehicles and accessories retailing668Gasoline service stations669Drug stores679Eating and drinking places686Hardware and farm implement stores687Lumber and building material retailing688Liquor stores689Retail florists696Jewelry stores697Fuel and ice retailing698Miscellaneous retail stores699Not specified retail trade716Banking and credit agencies726Security and commodity brokerage and investment companies736Insurance746Real estate756Real estate-insurance-law offices806Advertising807Accounting, auditing, and bookkeeping services808Miscellaneous business services816Auto repair services and garages817Miscellaneous repair services826Private households836Hotels and lodging places846Laundering, cleaning, and dyeing services847Dressmaking shops848Shoe repair shops849Miscellaneous personal services856Radio broadcasting and television857Theaters and motion pictures858Bowling alleys, and billiard and pool parlors859Miscellaneous entertainment and recreation services868Medical and other health services, except hospitals869Hospitals879Legal services888Educational services896Welfare and religious services897Nonprofit membership organizations898Engineering and architectural services899Miscellaneous professional and related services906Postal service916Federal public administration926State public administration936Local public administrationWork: Industry Variables -- PERSONIndustry<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A430 PR90A431 PR90A435 PR90A436">29-31. The following questions ask about the job worked last week. If [respondent] had more than one job, describe the one [respondent] worked the most hours. If [respondent] didn't work, the questions refer to the most recent job or business since 1985.<br /></svar></p>
<p><svar v="PR90A435" a="all"><span class="em">29b. What kind of business or industry was this?</span><br />Describe the activity at location where employed.<br /><div class="i1">____</div><br />(For example: hospital, newspaper publishing, mail order house, retail bakery)<br /><br /><span class="em">29c. Is this mainly manufacturing, wholesale trade, retail trade, or something else?</span><br /><div class="i1">[] 1 Manufacturing<br />[] 2 Wholesale trade<br />[] 3 Retail trade<br />[] 4 Other (agriculture, construction, service, government, etc.)</div><br /></svar>Puerto Rico 1990: Persons age 16+ who had worked within the previous five years, and persons seeking work who last worked more than 5 years ago [discrepancies: none]This variable indicates the type of industry in which the person performed an occupation.000NIU (not in universe)010Agricultural production, crops011Agricultural production, livestock012Veterinary services020Landscape and horticultural services030Agricultural services, n.e.c.031Forestry032Fishing, hunting, and trapping040Metal mining041Coal mining042Oil and gas extraction050Nonmetallic mining and quarrying, except fuels060All construction100Meat products101Dairy products102Canned, frozen, and preserved fruits and vegetables110Grain mill products111Bakery products112Sugar and confectionery products120Beverage industries121Misc. food preparations and kindred products122Food industries, n.s.130Tobacco manufactures132Knitting mills140Dyeing and finishing textiles, except wool and knit goods141Carpets and rugs142Yarn, thread, and fabric mills150Miscellaneous textile mill products151Apparel and accessories, except knit152Miscellaneous fabricated textile products160Pulp, paper, and paperboard mills161Miscellaneous paper and pulp products162Paperboard containers and boxes171Newspaper publishing and printing172Printing, publishing, and allied industries, except newspapers180Plastics, synthetics, and resins181Drugs182Soaps and cosmetics190Paints, varnishes, and related products191Agricultural chemicals192Industrial and miscellaneous chemicals200Petroleum refining201Miscellaneous petroleum and coal products210Tires and inner tubes211Other rubber products, and plastics footwear and belting212Miscellaneous plastics products220Leather tanning and finishing221Footwear, except rubber and plastic222Leather products, except footwear230Logging231Sawmills, planing mills, and millwork241Miscellaneous wood products242Furniture and fixtures250Glass and glass products251Cement, concrete, gypsum, and plaster products252Structural clay products261Pottery and related products262Misc. nonmetallic mineral and stone products270Blast furnaces, steelworks, rolling and finishing mills272Primary aluminum industries280Other primary metal industries281Cutlery, hand tools, and general hardware282Fabricated structural metal products290Screw machine products291Metal forgings and stampings292Ordnance300Miscellaneous fabricated metal products301Metal industries, n.s.310Engines and turbines311Farm machinery and equipment312Construction and material handling machines320Metalworking machinery321Office and accounting machines322Computers and related equipment331Machinery, except electrical, n.e.c.332Machinery, n.s.340Household appliances341Radio, TV, and communication equipment342Electrical machinery, equipment, and supplies, n.e.c.350Electrical machinery, equipment, and supplies, n.s.351Motor vehicles and motor vehicle equipment352Aircraft and parts360Ship and boat building and repairing361Railroad locomotives and equipment362Guided missiles, space vehicles, and parts371Scientific and controlling instruments372Medical, dental, and optical instruments and supplies380Photographic equipment and supplies381Watches, clocks, and clockwork operated devices390Toys, amusement, and sporting goods391Miscellaneous manufacturing industries392Manufacturing industries, n.s.400Railroads401Bus service and urban transit402Taxicab service410Trucking service411Warehousing and storage412U.S. Postal Service420Water transportation421Air transportation422Pipe lines, except natural gas432Services incidental to transportation440Radio and television broadcasting and cable441Telephone communications442Telegraph and miscellaneous communications services450Electric light and power451Gas and steam supply systems452Electric and gas, and other combinations470Water supply and irrigation471Sanitary services472Utilities, n.s.500Motor vehicles and equipment501Furniture and home furnishings502Lumber and construction materials510Professional and commercial equipment and supplies511Metals and minerals, except petroleum512Electrical goods521Hardware, plumbing and heating supplies530Machinery, equipment, and supplies531Scrap and waste materials532Miscellaneous wholesale, durable goods540Paper and paper products541Drugs, chemicals, and allied products542Apparel, fabrics, and notions550Groceries and related products551Farm-product raw materials552Petroleum products560Alcoholic beverages561Farm supplies562Miscellaneous wholesale, nondurable goods571Wholesale trade, n.s.580Lumber and building material retailing581Hardware stores582Retail nurseries and garden stores590Mobile home dealers591Department stores592Variety stores600Miscellaneous general merchandise stores601Grocery stores602Dairy products stores610Retail bakeries611Food stores, n.e.c.612Motor vehicle dealers620Auto and home supply stores621Gasoline service stations622Miscellaneous vehicle dealers623Apparel and accessory stores, except shoe630Shoe stores631Furniture and home furnishings stores632Household appliance stores633Radio, TV, and computer stores640Music stores641Eating and drinking places642Drug stores650Liquor stores651Sporting goods, bicycles, and hobby stores652Book and stationery stores660Jewelry stores661Gift, novelty, and souvenir shops662Sewing, needlework, and piece goods stores663Catalog and mail order houses670Vending machine operators671Direct selling establishments672Fuel dealers681Retail florists682Miscellaneous retail stores691Retail trade, n.s.700Banking701Savings institutions, including credit unions702Credit agencies, n.e.c.710Security, commodity brokerage, and investment companies711Insurance712Real estate, including real estate-insurance offices721Advertising722Services to dwellings and other buildings731Personnel supply services732Computer and data processing services740Detective and protective services741Business services, n.e.c.742Automotive rental and leasing, without drivers750Automobile parking and carwashes751Automotive repair and related services752Electrical repair shops760Miscellaneous repair services761Private households762Hotels and motels770Lodging places, except hotels and motels771Laundry, cleaning, and garment services772Beauty shops780Barber shops781Funeral service and crematories782Shoe repair shops790Dressmaking shops791Miscellaneous personal services800Theaters and motion pictures801Video tape rental802Bowling centers810Miscellaneous entertainment and recreation services812Offices and clinics of physicians820Offices and clinics of dentists822Offices and clinics of optometrists830Offices and clinics of health practitioners, n.e.c.831Hospitals832Nursing and personal care facilities840Health services, n.e.c.841Legal services842Elementary and secondary schools850Colleges and universities851Vocational schools852Libraries860Educational services, n.e.c.861Job training and vocational rehabilitation services862Child day care services863Family child care homes870Residential care facilities, without nursing871Social services, n.e.c.872Museums, art galleries, and zoos873Labor unions880Religious organizations881Membership organizations, n.e.c.882Engineering, architectural, and surveying services890Accounting, auditing, and bookkeeping services891Research, development, and testing services892Management and public relations services893Miscellaneous professional and related services900Executive and legislative offices901General government, n.e.c.910Justice, public order, and safety921Public finance, taxation, and monetary policy922Administration of human resources programs930Administration of environmental quality and housing programs931Administration of economic programs932National security and international affairs940Army941Air Force942Navy950Marines951Coast Guard952Armed Forces, branch not specified960Military Reserves or National Guard992Last worked 1984 or earlierWork: Industry Variables -- PERSONClass of worker<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A430 PR90A431 PR90A435 PR90A436">29-31. The following questions ask about the job worked last week. If [respondent] had more than one job, describe the one [respondent] worked the most hours. If [respondent] didn't work, the questions refer to the most recent job or business since 1985.<br /></svar></p>
<p><svar v="PR90A436" a="all"><span class="em">31. Was [respondent] </span><br />Read list. Mark (X) one box.<br /><div class="i1">[] 1 Employee of a private for profit company or business or of an individual, for wages, salary, or commissions<br />[] 2 Employee of a private not-for-profit, tax-exempt, or charitable organization<br />[] 3 Municipal government employee (city, municipio, etc.)<br />[] 4 Commonwealth government employee<br />[] 5 Federal government employee<br />[] 6 Self-employed in own not incorporated business, professional practice, or farm<br />[] 7 Self-employed in own incorporated business, professional practice, or farm<br />[] 8 Working without pay in family business or farm</div><br /></svar>Puerto Rico 1990: Persons age 16+ who had worked within the previous five years [discrepancies: none]This variable indicates whether respondents worked for their own enterprise(s) or for someone else as employees.00NIU (not in universe)13Self-employed, not incorporated14Self-employed, incorporated22Wage/salary, private23Wage/salary at non-profit25Federal government employee27State government employee 28Local government employee29Unpaid family workerWork Variables -- PERSONWeeks worked last year<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A437 PR90A438" a="all"><span class="em">32b. How many weeks did [respondent] work in 1989? </span><br />Count paid vacation, paid sick leave, and military service.<br /><div class="i1">____ Weeks</div><br /></svar>Puerto Rico 1990: Persons age 16+ worked last year [discrepancies: none]This variable indicates the number of weeks that the respondent worked for profit, pay, or as an unpaid family worker during the previous year.00NIU (not in universe)0110220330440550660770880991010111112121313141415151616171718181919202021212222232324242525262627272828292930303131323233333434353536363737383839394040414142424343444445454646474748484949505051515252Work Variables -- PERSONWeeks worked last year, intervalled<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A437 PR90A438" a="all"><span class="em">32b. How many weeks did [respondent] work in 1989? </span><br />Count paid vacation, paid sick leave, and military service.<br /><div class="i1">____ Weeks</div><br /></svar>Puerto Rico 1990: Persons age 16+ worked last year [discrepancies: none]This variable indicates the number of weeks that the respondent worked for profit, pay, or as an unpaid family worker during the previous year.0NIU (not in universe)11-13 weeks214-26 weeks327-39 weeks440-47 weeks548-49 weeks650-52 weeksWork Variables -- PERSONHours worked last week<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A439 PR90A440" a="all"><span class="em">22b. How many hours did [respondent] work last week (at all jobs)? </span><br />Subtract any time off; add overtime or extra hours worked.<br /><div class="i1">____ Hours</div><br /></svar>Puerto Rico 1990: Persons age 16+ who were at work last week [discrepancies: none]This variable indicates the total number of hours the respondent was at work during the previous week.000NIU (not in universe)001100220033004400550066007700880099010100111101212013130141401515016160171701818019190202002121022220232302424025250262602727028280292903030031310323203333034340353503636037370383803939040400414104242043430444404545046460474704848049490505005151052520535305454055550565605757058580595906060061610626206363064640656506666067670686806969070700717107272073730747407575076760777707878079790808008181082820848408585086860878708888089890909009191092920949409595096960989809999999UnknownWork Variables -- PERSONHours worked last week, intervalled<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A439 PR90A440" a="all"><span class="em">22b. How many hours did [respondent] work last week (at all jobs)? </span><br />Subtract any time off; add overtime or extra hours worked.<br /><div class="i1">____ Hours</div><br /></svar>Puerto Rico 1990: Persons age 16+ who were at work last week [discrepancies: none]This variable indicates the total number of hours the respondent was at work during the previous week.0NIU (not in universe)11-14 hours215-29 hours330-34 hours435-39 hours540 hours641-48 hours749-59 hours860+ hours9UnknownWork Variables -- PERSONUsual hours worked per week<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A441" a="all"><span class="em">32c. During the weeks worked in 1989, how many hours did [respondent] usually work each week? </span><br /><div class="i1">____ Hours</div><br /></svar>Puerto Rico 1990: Persons age 16+ who worked last year [discrepancies: none]This variable indicates the number of hours per week that the repsondent usually worked, if the person worked during the previous year.00NIU (not in universe)011022033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030313132323333343435353636373738383939404041414242434344444545464647474848494950505151525253535454555556565757585859596060626263636464656566666767686869697070727273737575767677777878797980808282848485858686878788889090919192929696979798989999Work Variables -- PERSONYear last worked<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A442" a="all"><span class="em">28. When did [respondent] last work, even for a few days?</span><br /><div class="i1">[] 1 1990 -- Go to 29<br />[] 2 1989 -- Go to 29<br />[] 3 1988 -- Go to 29<br />[] 4 1985 to 1987 -- Go to 29<br />[] 5 1980 to 1984 -- Skip to 33<br />[] 6 1979 or earlier -- Skip to 33<br />[] 7 Never worked -- Skip to 33</div><br /></svar>Puerto Rico 1990: Persons age 16+ [discrepancies: none]This variable indicates the year in which the respondent last worked for profit, pay, or as unpaid family worker.00NIU (not in universe)10Worked current year20Worked previous year31Worked 2 years prior33Worked 3-5 years ago35Worked 6-10 years ago40Worked more than 10 years ago50Never workedWork Variables -- PERSONWorked last year<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar>Puerto Rico 1990: Persons age 16+ [discrepancies: none]This variable indicates whether the person had worked at all for profit, pay, or as unpaid family worker during the previous year.0NIU (not in universe)1No2YesWork Variables -- PERSONAbsent from work last week<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A429 PR90A444" a="PR90A444"><span class="em">26. Was [respondent] on layoff from a job or business last week?</span><br />If "No," ask -- Was [respondent] temporarily absent or on vacation from a job or business last week?<br /><div class="i1">[] 1 Yes, on layoff<br />[] 2 Yes, on vacation, temporary illness, labor dispute, etc.<br />[] 3 No</div><br /></svar>Puerto Rico 1990: Persons age 16+ who were not at work last week [discrepancies: type I none ; type II 2.6%]This variable indicates whether persons who did not work during the previous week had a job or business from which they were temporarily absent, and if so, whether they were absent due to a layoff or for some other reason.0NIU (not in universe)1No2Yes, laid off3Yes, other reason (vacation, illness, labor dispute, etc.)Work Variables -- PERSONLooking for work<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A429 PR90A445" a="PR90A445"><span class="em">27a. Has [respondent] been looking for work during the last 4 weeks?</span><br /><div class="i1">[] 1 Yes<br />[] 2 No -- Skip to 28</div><br /></svar>Puerto Rico 1990: Persons age 15+ who were not at work last week [discrepancies: type I none ; type II 2.1%]This variable indicates whether or not the person who did not work during the previous week had actively sought a job or pursued opening their own business or professional practice within the past four weeks.0NIU (not in universe)1No, did not look for work2Yes, looked for workWork Variables -- PERSONAvailable for work<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A429 PR90A446" a="PR90A446"><span class="em">27b. Could [respondent] have taken a job last week if one had been offered?</span><br />If "No," ask -- For what reason?<br /><div class="i1">[] 1 No, already has a job<br />[] 2 No, temporarily ill<br />[] 3 No, other reasons (in school, etc.)<br />[] 4 Yes, could have taken job</div><br /></svar>Puerto Rico 1990: Persons age 15+ who were not at work last week and were actively looking for work [discrepancies: type I trace; type II trace]This variable indicates whether or not persons who did not work during the previous week and were actively seeking a job or planning to open their own business or professional practice were currently available to take any work they might find.0NIU (not in universe)1No, already has job2No, temporarily ill3No, other reason(s)4Yes, available for workWork Variables -- PERSONTotal personal income<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522"><span class="em">33. The following questions are about income received during 1989</span><br /><br />If an exact amount is not known, accept a best estimate. If net income in b, c, d or question 34 was a loss, write "Loss" above the dollar amount.<br /></svar></p>
<p><svar v="PR90A447 PR90A455" a="all"><span class="em">34. Do not ask this question if 33a through 33h are complete. Instead, sum these entries and enter the amount below.<br /><br />What was [respondent's] total income in 1989? </span><br /><br /><div class="i1">[] None</div><br />or<br /><div class="i2">____ Annual amount -- Dollars</div><br /></svar>Puerto Rico 1990: All personsThis variable indicates each respondent's total pre-tax personal income or losses from all sources for the previous year.This is a 6-digit numeric variable.
Codes72322 = Top code.
72323+ = 72323 or more (median of top-coded values).
999999 = NIU (not in universe).Income Variables -- PERSONWage and salary income<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522"><span class="em">33. The following questions are about income received during 1989</span><br /><br />If an exact amount is not known, accept a best estimate. If net income in b, c, d or question 34 was a loss, write "Loss" above the dollar amount.<br /></svar></p>
<p><svar v="PR90A448" a="all"><span class="em">33a. Did [respondent] earn income from wages, salary, commissions, bonuses, or tips? </span>-- Report amount before deductions for taxes, bonds, dues, or other items.<br /><div class="i1">[] 1 Yes-- How much from all jobs?</div><br /><div class="i2">____ Annual amount -- Dollars</div><br /><div class="i1">[] 2 No</div><br /></svar>Puerto Rico 1990: Persons age 16+ [discrepancies: none]This variable indicates each respondent's total pre-tax wage and salary income for the previous year.This is a 6-digit numeric variable.
Codes72322 = Top code.
999999 = NIU (not in universe).Income Variables -- PERSONPoverty statusPuerto Rico 1990: Persons in private, occupied and vacant dwellings [discrepancies: none]This variable indicates each family's total income for the previous year as a percentage of the poverty thresholds established by the Social Security Administration in 1964 and subsequently revised in 1980, adjusted for inflation.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 -- PERSONNon-farm business income<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522"><span class="em">33. The following questions are about income received during 1989</span><br /><br />If an exact amount is not known, accept a best estimate. If net income in b, c, d or question 34 was a loss, write "Loss" above the dollar amount.<br /></svar></p>
<p><svar v="PR90A450" a="all"><span class="em">33b. Did [respondent] earn income from (his/her) own nonfarm business, proprietorship or partnership --</span><br />Report net income after business expenses.<br /><div class="i1">[] 1 Yes-- How much?</div><br /><div class="i2">____ Annual amount -- Dollars</div><br /><div class="i1">[] 2 No</div><br /></svar>Puerto Rico 1990: Persons age 16+ [discrepancies: none]This variable indicates the respondent's net pre-income-tax non-farm business and/or professional practice income for the previous year.This is a 6-digit numeric variable.
Codes64146 = Top code.
999999 = NIU (not in universe).Income Variables -- PERSONFarm income<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522"><span class="em">33. The following questions are about income received during 1989</span><br /><br />If an exact amount is not known, accept a best estimate. If net income in b, c, d or question 34 was a loss, write "Loss" above the dollar amount.<br /></svar></p>
<p><svar v="PR90A451" a="all"><span class="em">33c. Did [respondent] earn income from (his/her) own farm business? </span>-- Include earnings as a tenant farmer or sharecropper. Report net income after operating expenses.<br /><div class="i1">[] 1 Yes-- How much?</div><br /><div class="i2">____ Annual amount -- Dollars</div><br /><div class="i1">[] 2 No</div><br /></svar>Puerto Rico 1990: Persons age 16+ [discrepancies: none]This variable indicates the respondent's net pre-income-tax earnings as a tenant farmer, sharecropper, or operator of his/her own farm during the previous calendar year. This is the amount earned after subtracting farming expenses from gross receipts. Gross receipts include not only the value of farm products sold, but also those from government programs, renting out farm equipment, and the sale of any products from the farmland itself (such as gravel, sand, or wood). It excludes non-cash benefits (such as the free consumption of one's own farm products) and any income earned as an employee.This is a 6-digit numeric variable.
Codes30000 = Top code.
999999 = NIU (not in universe).Income Variables -- PERSONSocial Security income<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522"><span class="em">33. The following questions are about income received during 1989</span><br /><br />If an exact amount is not known, accept a best estimate. If net income in b, c, d or question 34 was a loss, write "Loss" above the dollar amount.<br /></svar></p>
<p><svar v="PR90A452" a="all"><span class="em">33e. Did [respondent] receive any Social Security or Railroad Retirement payments? </span> Include payments as a retired worker, dependent, or disabled worker.<br /><div class="i1">[] 1 Yes-- How much?</div><br /><div class="i2">____ Annual amount -- Dollars</div><br /><div class="i1">[] 2 No</div><br /></svar>Puerto Rico 1990: Persons age 15+ [discrepancies: none]This variable indicates how much pre-tax income (if any) the respondent received from Social Security pensions, survivor benefits, or permanent disability insurance, as well as U.S. government Railroad retirement insurance payments, during the previous year.This is a 5-digit numeric variable.
Codes20731 = Top code.
99999 = NIU (not in universe).Income Variables -- PERSONWelfare (public assistance) income<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522"><span class="em">33. The following questions are about income received during 1989</span><br /><br />If an exact amount is not known, accept a best estimate. If net income in b, c, d or question 34 was a loss, write "Loss" above the dollar amount.<br /></svar></p>
<p><svar v="PR90A453" a="all"><span class="em">33f. Did [respondent] receive any income from government programs for Supplemental Security Income (SSI), Aid to Families with Dependent Children (AFDC), food stamps, or other public assistance or public welfare payments. </span><br /><div class="i1">[] 1 Yes-- How much?</div><br /><div class="i2">____ Annual amount -- Dollars</div><br /><div class="i1">[] 2 No</div><br /></svar>Puerto Rico 1990: Persons age 15+ [discrepancies: none]This variable indicates how much pre-tax income (if any) the respondent received during the previous year from various public assistance programs commonly referred to as "welfare".This is a 5-digit numeric variable.
Codes15490 = Top code.
99999 = NIU (not in universe).Income Variables -- PERSONInterest, dividend, and rental income<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522"><span class="em">33. The following questions are about income received during 1989</span><br /><br />If an exact amount is not known, accept a best estimate. If net income in b, c, d or question 34 was a loss, write "Loss" above the dollar amount.<br /></svar></p>
<p><svar v="PR90A454" a="all"><span class="em">33d. Did [respondent] receive any interest, dividends, net rental or royalty income, or income from estates and trusts? </span><br />Include payments as a retired worker, dependent, or disabled worker.<br /><div class="i1">[] 1 Yes-- How much?</div><br /><div class="i2">____ Annual amount -- Dollars</div><br /><div class="i1">[] 2 No</div><br /></svar>Puerto Rico 1990: Persons age 15+ [discrepancies: none]This variable indicates how much pre-tax money the respondent received or lost during the previous year in the form of income from estate or trust, interest, dividends, royalties, and rents received.This is a 6-digit numeric variable.
Codes39917 = Top code.
999999 = NIU.Income Variables -- PERSONTotal personal earned income<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522"><span class="em">33. The following questions are about income received during 1989</span><br /><br />If an exact amount is not known, accept a best estimate. If net income in b, c, d or question 34 was a loss, write "Loss" above the dollar amount.<br /></svar></p>
<p><svar v="PR90A447 PR90A455" a="all"><span class="em">34. Do not ask this question if 33a through 33h are complete. Instead, sum these entries and enter the amount below.<br /><br />What was [respondent's] total income in 1989? </span><br /><br /><div class="i1">[] None</div><br />or<br /><div class="i2">____ Annual amount -- Dollars</div><br /></svar>Puerto Rico 1990: All personsThis variable indicates total income earned from wages or a person's own business or farm for the previous year.This is a 6-digit numeric variable.
Codes72322 = Top code.
72323+ = 72323 or more (median of top-coded values).
999999 = NIU (not in universe).Income Variables -- PERSONOther income<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522"><span class="em">33. The following questions are about income received during 1989</span><br /><br />If an exact amount is not known, accept a best estimate. If net income in b, c, d or question 34 was a loss, write "Loss" above the dollar amount.<br /></svar></p>
<p><svar v="PR90A456" a="all"><span class="em">33h. Did [respondent] receive any income from Veterans' (VA) payments, unemployment compensation, child support, or alimony, or any other regular source of income? </span>-- Do not include lump-sum payments such as money from an inheritance or the sale of a home.<br /><div class="i1">[] 1 Yes-- How much?</div><br /><div class="i2">____ Annual amount -- Dollars</div><br /><div class="i1">[] 2 No</div><br /><br /></svar>Puerto Rico 1990: All personsThis variable indicates how much of each respondent's total money income (or losses) came from sources not included in the other IPUM person-record income variables.This is a 5-digit numeric variable.
Codes20636 = Top code.
99999 = NIU (not in universe).Income Variables -- PERSONMigration status, 5 years<svar v="PR90A457 PR90A458"><span class="em">12a. If person was born after April 1, 1985, mark (X) that box without asking 12a, and go to the next person. </span><br /></svar></p>
<p><svar v="PR90A457" a="all"><span class="em">Did you live at the address reported in question 2b 5 years ago (on April 1, 1985)?</span><br /><br /><div class="i1">[] Yes -- Skip to 13a<br />[] No</div><br /></svar>Puerto Rico 1990: Persons age 5+ [discrepancies: none]This variable indicates whether a person age 5+ had changed residence since a reference point 5 years ago.00NIU (not in universe)10Same house20Moved, place not reportedMigration: Global Variables -- PERSONState or country of residence 5 years ago<svar v="PR90A457 PR90A458"><span class="em">12a. If person was born after April 1, 1985, mark (X) that box without asking 12a, and go to the next person. </span><br /></svar></p>
<p><svar v="PR90A458" a="all"><span class="em">12 b. Where did [respondent] live 5 years ago (on April 1, 1985)?</span><br /><br /><div class="i1">1) Print Puerto Rico or the name of U.S. State or foreign country</div><br /><div class="i2">____</div><br /><div class="i1">2) Print the name of the municipality in Puerto Rico or the name of the county in the U.S.</div><br /><div class="i2">____</div><br /><div class="i1">3) Print the name of city, town or village</div><br /><div class="i2">____</div><br /></svar>Puerto Rico 1990: Persons age 5+ who lived in a different country 5 years ago [discrepancies: type I 0.1%; type II 0.1%]This variable indicates the U.S. state or the foreign country where the respondent was living 5 years ago.000NIU (not in universe)001Alabama002Alaska004Arizona005Arkansas006California008Colorado009Connecticut010Delaware011District of Columbia012Florida013Georgia015Hawaii016Idaho017Illinois018Indiana019Iowa020Kansas021Kentucky022Louisiana023Maine024Maryland025Massachusetts026Michigan027Minnesota028Mississippi029Missouri030Montana031Nebraska032Nevada033New Hampshire034New Jersey035New Mexico036New York037North Carolina038North Dakota039Ohio040Oklahoma041Oregon042Pennsylvania044Rhode Island045South Carolina046South Dakota047Tennessee048Texas049Utah050Vermont051Virginia053Washington054West Virginia055Wisconsin056Wyoming061Maine-New Hampshire-Vermont062Massachusetts-Rhode Island063Minnesota-Iowa-Missouri-Kansas-Nebraska-Dakotas064Maryland-Delaware065Montana-Idaho-Wyoming066Utah-Nevada067Arizona-New Mexico068Alaska-Hawaii099United States, not specified or state confidential100Americana Samoa105Guam110Puerto Rico115Virgin Islands119U.S. outlying area120Other U.S. possessions150Canada151English Canada152French Canada155St Pierre and Miquelon160Atlantic Islands199North America200Mexico211Belize/British Honduras212Costa Rica213El Salvador214Guatemala215Honduras216Nicaragua217Panama218Canal Zone219Central America, n.e.c.250Cuba260West Indies261Dominican Republic262Haiti263Jamaica264British West Indies266Trinidad and Tobago267Other West Indies305Argentina310Bolivia315Brazil320Chile325Colombia330Ecuador345Paraguay350Peru360Uruguay365Venezuela370North or Central America, n.s. 390South America, n.e.c.400Denmark401Finland402Iceland404Norway405Sweden410England411Scotland412Wales413United Kingdom414Ireland415Northern Ireland420Belgium421France422Liechtenstein423Luxembourg424Monaco425Netherlands426Switzerland430Albania431Andorra432Gibraltar433Greece434Dodecanese Islands435Italy436Portugal437Azores438Spain439Vatican City440Malta450Austria451Bulgaria452Czechoslovakia453Germany999UnknownMigration: Global Variables -- PERSONWhen occupant moved into residence<svar v="PR90A459" a="all"><span class="em">H11. When did the person listed in column 1 on page 2 move into this house or apartment? </span><br /><div class="i1">[] 1 1989 or 1990<br />[] 2 1985 to 1988<br />[] 3 1980 to 1984<br />[] 4 1970 to 1979<br />[] 5 1960 to 1969<br />[] 6 1959 or earlier</div><br /></svar>Puerto Rico 1990: Head of the household in private, occupied and vacant dwellings [discrepancies: none]This variable indicates the number of years ago that the houseolder moved into the dwelling unit.0NIU (not in universe)1This year or last year22 years ago53 -10 611-20721-30831+Migration: Global Variables -- PERSONPlace of work<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A460 PR90A461" a="all"><span class="em">23a. Where did [respondent] usually work last week?</span><br /><br />If [respondent] worked at more than one location, ask--<br />Where did [respondent] work most last week?<br /><div class="i1">[] 1 In U.S. State or foreign country -- Skip to 23d<br />[] 2 In Puerto Rico -- Continue with 23b.</div><br /><br /><span class="em">23b. What is the name of the city, town or village? </span><br /><div class="i1">____</div><br /><br /><span class="em">23c. What is the name of the municipio? </span><br /><div class="i1">____</div><br /><br /><span class="em">23d. What is the name of the U.S. State or foreign country? </span><br /><div class="i1">____</div><br /></svar>Puerto Rico 1990: Persons age 16+ who were at work last week [discrepancies: type I trace; type II trace]This variable indicates the location of respondent's primary workplace, whether it was in the U.S., Puerto Rico, or other country.00NIU (not in universe)01Alabama02Alaska04Arizona05Arkansas06California08Colorado09Connecticut10Delaware11District of Columbia12Florida13Georgia15Hawaii16Idaho17Illinois18Indiana19Iowa20Kansas21Kentucky22Louisiana23Maine24Maryland25Massachusetts26Michigan27Minnesota28Mississippi29Missouri30Montana31Nebraska32Nevada33New Hampshire34New Jersey35New Mexico36New York37North Carolina38North Dakota39Ohio40Oklahoma41Oregon42Pennsylvania44Rhode island45South Carolina46South Dakota47Tennessee48Texas49Utah50Vermont51Virginia53Washington54West Virginia55Wisconsin56Wyoming61Maine-New Hampshire-Vermont62Massachusetts-Rhode Island63Minnesota-Iowa-Missouri-Kansas-Nebraska-S.Dakota-N.Dakota64Maryland-Delaware65Montana-Idaho-Wyoming66Utah-Nevada67Arizona-New Mexico68Alaska-Hawaii72Puerto Rico73U.S. outlying area74United States 80Abroad81Europe82Eastern Asia83Other Asia, n.s.; South Central, South East, and Western Asia 84Mexico85Other Americas86Other, n.e.c.87IraqWork Variables -- PERSONWork disability<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A462" a="all"><span class="em">19. Does [respondent] have a physical, mental, or other health condition that has lasted for 6 or more months and which --<br /><br />19a. Limits the kind or amount of work [respondent] can do at a job? </span><br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /><br /><span class="em">19b. Prevents [respondent] from working at a job?</span><br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar>Puerto Rico 1990: Persons age 16+ [discrepancies: none]This variable indicates whether respondents have any lasting physical or mental health condition that causes difficulty working, limits the amount or type of work they can do, or prevent them from working altogether.0NIU (not in universe)1No disability that affects work2Disability limits but does not prevent work3Disability prevents workWork Variables -- PERSONDisability limiting mobility<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A463 PR90A464"><span class="em">20. Because of a health condition that has lasted for 6 or more months, does [respondent] have any difficulty --</span><br /></svar></p>
<p><svar v="PR90A463" a="all"><span class="em">20a. Going outside the home alone, for example, to a shop or visit a doctor's office?</span><br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar>Puerto Rico 1990: Persons age 15+ [discrepancies: none]This variable indicates whether the respondent has any physical or mental health condition that has lasted 6 or more months and that makes it difficult or impossible to go outside the home alone.0NIU (not in universe)1No mobility limitation2Yes, mobility is limitedDisability Variables -- PERSONPersonal care limitation<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A463 PR90A464"><span class="em">20. Because of a health condition that has lasted for 6 or more months, does [respondent] have any difficulty --</span><br /></svar></p>
<p><svar v="PR90A464" a="all"><span class="em">20b. Taking care of his or her own personal needs, such as bathing, dressing, or getting around inside the home?</span><br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar>Puerto Rico 1990: Persons age 15+ [discrepancies: none]This variable indicates whether respondents have any physical or mental health condition that has lasted at least 6 months and makes it difficult for them to take care of their own personal needs, such as bathing, dressing or getting around inside the home.0NIU (not in universe)1No personal care limitation2Yes, personal care limitationDisability Variables -- PERSONVeteran status<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A465" a="all"><span class="em">18a. Has [respondent] ever been on active-duty military service in the Armed Forces of the United States or ever been in the United States military Reserves or the National Guard?</span><br />"Active duty" does not include training for the military Reserves or National Guard.<br /><div class="i1">[] 1 Yes, now on active duty<br />[] 2 Yes, on active duty in past, but not now<br />[] 3 Yes, service in Reserves or National Guard only -- Skip to 19<br />[] 4 No -- Skip to 19</div><br /></svar>Puerto Rico 1990: Persons age 16+ [discrepancies: none]This variable indicates whether individuals served in the military forces of the United States in time of war or peace.0NIU (not in universe)1No Service2YesOther Person Variables -- PERSONVeteran, served 1980 to 1990<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A469" a="all"><span class="em">18c. In total, how many years of active-duty military service have you had?</span><br /><div class="i1">____ Years</div><br /></svar>Puerto Rico 1990: Persons age 17+ [discrepancies: none]This variable indicates whether persons were engaged in active-duty military service in the armed forces of the United States between September, 1980 and July, 1990.0NIU (not in universe)1No 2Yes, served this periodOther Person Variables -- PERSONVeteran, served 1975 to 1980<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A469" a="all"><span class="em">18c. In total, how many years of active-duty military service have you had?</span><br /><div class="i1">____ Years</div><br /></svar>Puerto Rico 1990: Persons age 17+ [discrepancies: none]This variable indicates whether persons were engaged in active-duty military service in the armed forces of the United States between May, 1975 and August, 1980.0NIU (not in universe)1No 2Yes, served this periodOther Person Variables -- PERSONVeteran, served during Vietnam era<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A469" a="all"><span class="em">18c. In total, how many years of active-duty military service have you had?</span><br /><div class="i1">____ Years</div><br /></svar>Puerto Rico 1990: Persons age 17+ [discrepancies: none]This variable indicates whether persons were engaged in active-duty military service in the armed forces of the United States during the Vietnam era.0NIU (not in universe)1No 2Yes, Vietnam-era veteranOther Person Variables -- PERSONYears of active-duty military service<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar>Puerto Rico 1990: Persons age 16+ currently or formely in the armed forces [discrepancies: none]This variable indicates the total years of active-duty military service for veterans and those currently on active duty.00NIU (not in universe)011 year of service or less022 years033 years044 years055 years066 years077 years088 years099 years1010 years1111 years1212 years1313 years1414 years1515 years1616 years1717 years1818 years1919 years2020 years2121 years2222 years2323 years2424 years2525 years2626 years2727 years2828 years2929 years3030 years3131 yearsOther Person Variables -- PERSONVeteran, served 1955 to 1964<svar v="PR90A570" a="all"><span class="em">13a. During the last 10 years, did [respondent] live in the United States at any time for a period of 6 or more consecutive months?</span><br /><div class="i1">[] 1 Yes<br />[] 2 No -- Skip to 14</div><br /></svar></p>
<p><svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A469" a="all"><span class="em">18c. In total, how many years of active-duty military service have you had?</span><br /><div class="i1">____ Years</div><br /></svar>Puerto Rico 1990: Persons age 17+ [discrepancies: none]This variable indicates whether persons were engaged in active-duty military service in the armed forces of the United States between February, 1955 and July, 1964.0NIU (not in universe)1No 2Yes, served this periodOther Person Variables -- PERSONVeteran, served during Korean conflict era<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A469" a="all"><span class="em">18c. In total, how many years of active-duty military service have you had?</span><br /><div class="i1">____ Years</div><br /></svar>Puerto Rico 1990: Persons age 17+ [discrepancies: none]This variable indicates whether persons were engaged in active-duty military service in the armed forces of the United States during the Korean conflict era.0NIU (not in universe)1No 2Yes, served this periodOther Person Variables -- PERSONVeteran, served during WWII era<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A469" a="all"><span class="em">18c. In total, how many years of active-duty military service have you had?</span><br /><div class="i1">____ Years</div><br /></svar>Puerto Rico 1990: Persons age 17+ [discrepancies: none]This variable indicates whether persons were engaged in active-duty military service in the armed forces of the United States during the World War II era.0NIU (not in universe)1No 2Yes, served this periodOther Person Variables -- PERSONVeteran of other period<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar>Puerto Rico 1990: Persons age 17+ [discrepancies: none]This variable indicates whether persons were engaged in active-duty military service in the armed forces of the United States during periods of service not identified in other variables.0NIU (not in universe)1No 2Yes, served this period(s)Other Person Variables -- PERSONMeans of transportation to work<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A474" a="all"><span class="em">24a. What type of transportation did [respondent] usually use to get to work last week?</span> If more than one method of transportation usually was used during the trip, mark (X) the box of the one used for most of the distance.<br /><div class="i1">[] 1 Car, truck, or van<br />[] 2 Bus<br />[] 3 <span class="lang">Publico</span><br />[] 4 Ferryboat<br />[] 5 Taxicab<br />[] 6 Motorcycle<br />[] 7 Bicycle<br />[] 8 Walked<br />[] 9 Worked at home -- Skip to 29<br />[] 10 Other method</div><br /></svar>Puerto Rico 1990: Persons age 16+ who were at work last week [discrepancies: none]This variable indicates the respondent's primary means of transportation to work on the most recent day worked, or over the course of the previous week.00NIU (not in universe)10Auto, truck, or van20Motorcycle31Bus or trolley bus32Streetcar or trolley car 35Taxicab36Ferryboat (launch in Puerto Rico)40Bicycle50Walked only60Other70Worked at homeWork Variables -- PERSONVehicle occupancy<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A475" a="all"><span class="em">24b. Ask only if "car, truck, or van" is marked in 24a.</span><br /><span class="em">How many people, including [respondent], usually rode together last week?</span><br /><div class="i1">[] 1 Drove alone<br />[] 2 2 people<br />[] 3 3 people<br />[] 4 4 people<br />[] 5 5 people<br />[] 6 6 people<br />[] 7 7 to 9 people<br />[] 8 10 or more people</div><br /></svar>Puerto Rico 1990: Persons age 16+ who worked last week and used their own car [discrepancies: none]This variable indicates how many people (including the respondent) usually rode to work in the vehicle that the respondent took to work during the previous week.0NIU (not in universe)1Drives alone22 people3344556687 to 9910 or moreWork Variables -- PERSONTravel time to work<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A476" a="all"><span class="em">25b. How many minutes did it usually take [respondent] to get from home to work last week?</span><br /><div class="i1">____ Minutes -- Skip to 29</div><br /></svar>Puerto Rico 1990: Persons age 16+ who worked outside the home last week [discrepancies: none]This variable indicates the total amount of time, in minutes, that it usually took the respondent to get from home to work last week.00NIU (not in universe)0110220330440550660770880991010111112121313141415151616171718181919202021212222232325252626272728282929303031313232353536363838393940404242454546464848505053535454555556565858595960606262636365656767686870707171727273737474757580808585909095959999Work Variables -- PERSONTime of departure for work<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A477" a="all"><span class="em">25a. What time did [respondent] usually leave home to go to work last week?</span><br />"Usually" means on most days last week.<br /><div class="i1">____</div><br /><div class="i2">[] 1 a.m.<br />[] 2 p.m.</div><br /></svar>Puerto Rico 1990: Persons age 16+ who worked outside the home last week [discrepancies: none]This variable indicates the time that respondent usually left home for work last week0000NIU (not in universe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ork Variables -- PERSONFlag for augmented personPuerto Rico 1990: All personsThis variable is a data quality flag for all persons.0Unaltered case4All person variables allocatedPerson Imputation Flags Variables -- PERSONFlag for agePuerto Rico 1990: All personsThis variable is a data quality flag for AGE.0Entered as written4AllocatedPerson Imputation Flags Variables -- PERSONFlag for time of departure for workPuerto Rico 1990: All personsThis variable is a data quality flag for DEPARTS (Time of departure for work).0Not allocated4AllocatedPerson Imputation Flags Variables -- PERSONFlag for birthplacePuerto Rico 1990: All personsThis variable is a data quality flag for BPL (Birthplace).0Entered as written4AllocatedPerson Imputation Flags Variables -- PERSONFlag for children ever bornPuerto Rico 1990: All personsThis variable is a data quality flag for CHBORN (Children ever born).0Original entry or Inapplicable (not in universe)4Allocated, original entry failed editPerson Imputation Flags Variables -- PERSONFlag for citizenship statusPuerto Rico 1990: All personsThis variable is a data quality flag for CITIZEN (Citizenship).0Original entry or Inapplicable (not in universe)4AllocatedPerson Imputation Flags Variables -- PERSONFlag for class of workerPuerto Rico 1990: All personsThis variable is a data quality flag for CLASSWKR (Class of worker).0Original entry or Inapplicable (not in universe)4AllocatedPerson Imputation Flags Variables -- PERSONFlag for work disabilityPuerto Rico 1990: All personsThis variable is a data quality flag for DISABWRK (Disability limiting and/or preventing work).0Not allocated4Allocated, hot deckPerson Imputation Flags Variables -- PERSONFlag for employment status and labor force statusPuerto Rico 1990: All personsThis variable is a data quality flag for EMPSTAT and LABFORCE (Employment status and labor force).0Original entry or Inapplicable (not in universe)4AllocatedPerson Imputation Flags Variables -- PERSONFlag for educational attainmentPuerto Rico 1990: All personsThis variable is a data quality flag for EDUCREC, HIGRADE, and EDUC99 (Educational attainment).0Original entry or Inapplicable (not in universe)4Consistency editPerson Imputation Flags Variables -- PERSONFlag for hours worked last weekPuerto Rico 1990: All personsThis variable is a data quality flag for HRSWORK1 and HRSWORK2 (Hours worked, categorized).0Original entry or Inapplicable (not in universe)4AllocatedPerson Imputation Flags Variables -- PERSONFlag for non-farm business, total, and total earned incomePuerto Rico 1990: All personsThis variable is a data quality flag for INCBUS, INCTOT, and INCEARN (Non-farm business income, total income, and total earned income).0Not allocated3Allocated, consistency edit4AllocatedPerson Imputation Flags Variables -- PERSONFlag for farm, total, and total earned incomePuerto Rico 1990: All personsThis variable is a data quality flag for INCFARM, INCTOT, and INCEARN (Farm income, total income, and total earned income).0Not allocated3Allocated, consistency edit4AllocatedPerson Imputation Flags Variables -- PERSONFlag for interest, dividend and rental, total, and total earned incomePuerto Rico 1990: All personsThis variable is a data quality flag for INCINVST and INCTOT (Interest, dividend and rental income, total income, and total earned income).0Not allocated or N/A3Allocated, consistency edit4AllocatedPerson Imputation Flags Variables -- PERSONFlag for other, total, and total earned incomePuerto Rico 1990: All personsThis variable is a data quality flag for INCOTHER and INCTOT (Other income, total income and total earned income).0Original entry or Inapplicable (not in universe)3Missing4AllocatedPerson Imputation Flags Variables -- PERSONFlag for Social Security, total, and total earned incomePuerto Rico 1990: All personsThis variable is a data quality flag for INCSS and INCTOT (Social security income, total income and total earned income).0Not allocated3Allocated, consistency edit4AllocatedPerson Imputation Flags Variables -- PERSONFlag for wage and salary, total, and total earned incomePuerto Rico 1990: All personsThis variable is a data quality flag for INCWAGE, INCTOT, and INCEARN (Wage, and salary income, total income and total earned income).0Original entry or Inapplicable (not in universe)3Missing4AllocatedPerson Imputation Flags Variables -- PERSONFlag for welfare (public assistance), total, and total earned incomePuerto Rico 1990: All personsThis variable is a data quality flag for INCWELFR and INCTOT (Welfare (public assistance), total income and total earned income).0Not allocated3Allocated, consistency edit4AllocatedPerson Imputation Flags Variables -- PERSONFlag for industryPuerto Rico 1990: All personsThis variable is a data quality flag for IND and IND1950 (Industry).0Original entry or Inapplicable (not in universe)4AllocatedPerson Imputation Flags Variables -- PERSONFlag for disability limiting mobilityPuerto Rico 1990: All personsThis variable is a data quality flag for DISABMOB (Disability limiting mobility).0Not allocated4AllocatedPerson Imputation Flags Variables -- PERSONFlag for personal care limitationPuerto Rico 1990: All personsThis variable is a data quality flag for PERSCARE (Personal care limitation).0Not allocated4AllocatedPerson Imputation Flags Variables -- PERSONFlag for place of workPuerto Rico 1990: All personsThis variable is a data quality flag for PWSTATE2 (Place of work: state).0Not allocated4AllocatedPerson Imputation Flags Variables -- PERSONFlag for marital statusPuerto Rico 1990: All personsThis variable is a data quality flag for MARST (Marital status).0Entered as written4AllocatedPerson Imputation Flags Variables -- PERSONFlag for retirement, total, and total earned incomePuerto Rico 1990: All personsThis variable is a data quality flag for INCRETIR and INCTOT (Retirement income, total income and total earned income).0Not allocated3Not allocated, derived4AllocatedPerson Imputation Flags Variables -- PERSONFlag for place of residence 5 years agoPuerto Rico 1990: All personsThis variable is a data quality flag for MIGPLAC5, MIGMET5, MIGCITY5, MIGTYPE5, and MIGTYP00 (Place of residence 5 years ago).0Original entry or Inapplicable (not in universe)4AllocatedPerson Imputation Flags Variables -- PERSONFlag for migration status, 5 yearsPuerto Rico 1990: All personsThis variable is a data quality flag for MIGRATE5 (Migration status, 5 years) .0Original entry or Inapplicable (not in universe)4AllocatedPerson Imputation Flags Variables -- PERSONFlag for years of active-duty military servicePuerto Rico 1990: All personsThis variable is a data quality flag for VETYRS (Years of military service).0Not allocated4AllocatedPerson Imputation Flags Variables -- PERSONFlag for occupant moved into residencePuerto Rico 1990: All personsThis variable is a data quality flag for MOVEDIN (When occupant moved in).0Not allocated4AllocatedPerson Imputation Flags Variables -- PERSONFlag for occupationPuerto Rico 1990: All personsFlag for OCC, OCC1950, SEI, OCCSCORE, OCCSOC and LABFORCE (Occupation, Duncan Socialeconomic Index, occupational income score, and labor force).0Entered as written4AllocatedPerson Imputation Flags Variables -- PERSONFlag for relationship to household headPuerto Rico 1990: All personsThis variable is a data quality flag for RRELATE (Relationship to household head).0Entered as written4AllocatedPerson Imputation Flags Variables -- PERSONFlag for vehicle occupancyPuerto Rico 1990: All personsThis variable is a data quality flag for RIDERS (Vehicle occupancy).0Not allocated4AllocatedPerson Imputation Flags Variables -- PERSONFlag for school attendance and typePuerto Rico 1990: All personsThis variable is a data quality flag for SCHOOL and SCHLTYPE (School attendance and type).0Original entry or Inapplicable (not in universe)4AllocatedPerson Imputation Flags Variables -- PERSONFlag for sexPuerto Rico 1990: All personsThis variable is a data quality flag for sex.0Entered as written4AllocatedPerson Imputation Flags Variables -- PERSONFlag for speaks EnglishPuerto Rico 1990: All personsThis variable is a data quality flag for SPEAKENG (Speaks English).0Not allocated4Allocated, hot deckPerson Imputation Flags Variables -- PERSONFlag for travel time to workPuerto Rico 1990: All personsThis variable is a data quality flag for TRANTIME (Travel time to work).0Not allocated4AllocatedPerson Imputation Flags Variables -- PERSONFlag for means of transportation to workPuerto Rico 1990: All personsThis variable is a data quality flag for TRANWORK (Means of transportation to work).0Not allocated4AllocatedPerson Imputation Flags Variables -- PERSONFlag for usual hours worked per weekPuerto Rico 1990: All personsThis variable is a data quality flag for UHRSWORK (Usual hours worked per week).0Not allocated4AllocatedPerson Imputation Flags Variables -- PERSONFlag for various periods of military servicePuerto Rico 1990: All personsThis variable is a data quality flag for VETPER, VETSTAT, VET55X64, VET75X80, VET80X90, VET90X95, VET95X00, VETKOREA, VETOTHER, VETVIETN, VETWWI, VETWWII, VET01LTR, VET47X50, VET90X01 (Veteran status and periods of military service).0Original entry or Inapplicable (not in universe)4AllocatedPerson Imputation Flags Variables -- PERSONFlag for various periods of military servicePuerto Rico 1990: All personsThis variable is a data quality flag for VETSTAT, VET55X64, VET75X80, VET80X90, VET90X95, VETKOREA, VETOTHER, VETVIETN, VETWWI, VETWWII, VET01LTR, VET47X50, VET90X01 (Veteran status and periods of military service).0Original entry or Inapplicable (not in universe)4AllocatedPerson Imputation Flags Variables -- PERSONFlag for weeks worked last yearPuerto Rico 1990: All personsThis variable is a data quality flag for WKSWORK1 and WKSWORK2 (Weeks worked last year).0Original entry or Inapplicable (not in universe)4Allocated, pre-editPerson Imputation Flags Variables -- PERSONFlag for worked last yearPuerto Rico 1990: All personsFlag for WORKEDY (worked last year).0Not allocated4AllocatedPerson Imputation Flags Variables -- PERSONFlag for year of immigration and years in the U.S.Puerto Rico 1990: All personsFlag for YRIMMIG, YRSUSA1, YRSUSA2 (year of immigration and years in the U.S.).0Fields OK as written4Allocated, hot deckPerson Imputation Flags Variables -- PERSONFlag for year last workedPuerto Rico 1990: All personsThis variable is a data quality flag for YRLASTWK (Year last worked).0Not allocated4AllocatedPerson Imputation Flags Variables -- PERSONWorked last weekPuerto Rico 1990: Persons age 16+ [discrepancies: none]This variable indicates whether or not respondent worked last week.0NIU (not in universe)1Did not work2Worked3Not ReportedWork Variables -- PERSONRetirement income<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522"><span class="em">33. The following questions are about income received during 1989</span><br /><br />If an exact amount is not known, accept a best estimate. If net income in b, c, d or question 34 was a loss, write "Loss" above the dollar amount.<br /></svar></p>
<p><svar v="PR90A522" a="all"><span class="em">33g. Did [respondent] receive any income from retirement, survivor, or disability pensions? </span><br />Include payments from companies, unions, Federal, State, and local governments, and the U.S. military. Do not include Social Security.<br /><div class="i1">[] 1 Yes-- How much?</div><br /><div class="i2">____ Annual amount -- Dollars</div><br /><div class="i1">[] 2 No</div><br /></svar>Puerto Rico 1990: Persons age 15+ [discrepancies: none]This variable indicates how much pre-tax retirement, survivor, and disability pension income, other than Social Security, the respondent received during the previous year.This is a 6-digit numeric variable.
Codes20897 = Top code.
999999 = NIU (not in universe).Income Variables -- PERSONOccupation, 2000 basisPuerto Rico 1990: Persons age 16+ who had worked within the previous five years, and persons seeking work who last worked more than 5 years ago [discrepancies: none]This variable indicates person's occupation, 2000 modal category assignment.000NIU (not in universe)001Chief executives002General and operations managers003Legislators004Advertising and promotions managers005Marketing and sales managers006Public relations managers010Administrative services managers011Computer and information systems managers012Financial managers013Human resources managers014Industrial production managers015Purchasing managers016Transportation, storage, and distribution managers020Farm, ranch, and other agricultural managers021Farmers and ranchers022Construction managers023Education administrators030Engineering managers031Food service managers032Funeral directors033Gaming managers034Lodging managers035Medical and health services managers036Natural sciences managers040Postmasters and mail superintendents041Property, real estate, and community association managers042Social and community service managers043Managers, all other050Agents and business managers of artists, performers, and athletes051Purchasing agents and buyers, farm products052Wholesale and retail buyers, except farm products053Purchasing agents, except wholesale, retail, and farm products054Claims adjusters, appraisers, examiners, and investigators056Compliance officers, except agriculture, construction, health and safety, and transportation060Cost estimators062Human resources, training, and labor relations specialists070Logisticians071Management analysts072Meeting and convention planners073Other business operations specialists080Accountants and auditors081Appraisers and assessors of real estate082Budget analysts083Credit analysts084Financial analysts085Personal financial advisors086Insurance underwriters090Financial examiners091Loan counselors and officers093Tax examiners, collectors, and revenue agents094Tax preparers095Financial specialists, all other100Computer scientists and systems analysts101Computer programmers102Computer software engineers104Computer support specialists106Database administrators110Network and computer systems administrators111Network systems and data communications analysts120Actuaries121Mathematicians122Operations research analysts123Statisticians124Miscellaneous mathematical science occupations130Architects, except naval131Surveyors, cartographers, and photogrammetrists132Aerospace engineers133Agricultural engineers134Biomedical engineers135Chemical engineers136Civil engineers140Computer hardware engineers141Electrical and electronic engineers142Environmental engineers143Industrial engineers, including health and safety144Marine engineers and naval architects145Materials engineers146Mechanical engineers150Mining and geological engineers, including mining safety engineers151Nuclear engineers152Petroleum engineers153Engineers, all other154Drafters155Engineering technicians, except drafters156Surveying and mapping technicians160Agricultural and food scientists161Biological scientists164Conservation scientists and foresters165Medical scientists170Astronomers and physicists171Atmospheric and space scientists172Chemists and materials scientists174Environmental scientists and geoscientists176Physical scientists, all other180Economists181Market and survey researchers182Psychologists183Sociologists184Urban and regional planners186Miscellaneous social scientists and related workers190Agricultural and food science technicians191Biological technicians192Chemical technicians193Geological and petroleum technicians194Nuclear technicians196Other life, physical, and social science technicians200Counselors201Social workers202Miscellaneous community and social service specialists204Clergy205Directors, religious activities and education206Religious workers, all other210Lawyers211Judges, magistrates, and other judicial workers214Paralegals and legal assistants215Miscellaneous legal support workers220Postsecondary teachers230Preschool and kindergarten teachers231Elementary and middle school teachers232Secondary school teachers233Special education teachers234Other teachers and instructors240Archivists, curators, and museum technicians243Librarians244Library Technicians254Teacher assistants255Other education, training, and library workers260Artists and related workers263Designers270Actors271Producers and directors272Athletes, coaches, umpires, and related workers274Dancers and choreographers275Musicians, singers, and related workers276Entertainers and performers, sports and related workers, all other280Announcers281News analysts, reporters and correspondents282Public relations specialists283Editors284Technical writers285Writers and authors286Miscellaneous media and communication workers290Broadcast and sound engineering technicians and radio operators291Photographers292Television, video, and motion picture camera operators and editors296Media and communication equipment workers, all other300Chiropractors301Dentists303Dietitians and nutritionists304Optometrists305Pharmacists306Physicians and surgeons311Physician assistants312Podiatrists313Registered nurses314Audiologists315Occupational therapists316Physical therapists320Radiation therapists321Recreational therapists322Respiratory therapists323Speech-language pathologists324Therapists, all other325Veterinarians326Health diagnosing and treating practitioners, all other330Clinical laboratory technologists and technicians331Dental hygienists332Diagnostic related technologists and technicians340Emergency medical technicians and paramedics341Health diagnosing and treating practitioner support technicians350Licensed practical and licensed vocational nurses351Medical records and health information technicians352Opticians, dispensing353Miscellaneous health technologists and technicians354Other healthcare practitioners and technical occupations360Nursing, psychiatric, and home health aides361Occupational therapist assistants and aides362Physical therapist assistants and aides363Massage therapists364Dental assistants365Medical assistants and other healthcare support occupations370First-line supervisors/managers of correctional officers371First-line supervisors/managers of police and detectives372First-line supervisors/managers of fire fighting and prevention workers373Supervisors, protective service workers, all other374Fire fighters375Fire inspectors380Bailiffs, correctional officers, and jailers382Detectives and criminal investigators383Fish and game wardens384Parking enforcement workers385Police and sheriff's patrol officers386Transit and railroad police390Animal control workers391Private detectives and investigators392Security guards and gaming surveillance officers394Crossing guards395Lifeguards and other protective service workers400Chefs and head cooks401First-line supervisors/managers of food preparation and serving workers402Cooks403Food preparation workers404Bartenders405Combined food preparation and serving workers, including fast food406Counter attendants, cafeteria, food concession, and coffee shop411Waiters and waitresses412Food servers, nonrestaurant413Dining room and cafeteria attendants and bartender helpers414Dishwashers415Hosts and hostesses, restaurant, lounge, and coffee shop416Food preparation and serving related workers, all other420First-line supervisors/managers of housekeeping and janitorial workers421First-line supervisors/managers of landscaping, lawn service, and groundskeeping workers422Janitors and building cleaners423Maids and housekeeping cleaners424Pest control workers425Grounds maintenance workers430First-line supervisors/managers of gaming workers432First-line supervisors/managers of personal service workers434Animal trainers435Nonfarm animal caretakers440Gaming services workers441Motion picture projectionists442Ushers, lobby attendants, and ticket takers443Miscellaneous entertainment attendants and related workers446Funeral service workers450Barbers451Hairdressers, hairstylists, and cosmetologists452Miscellaneous personal appearance workers453Baggage porters, bellhops, and concierges454Tour and travel guides455Transportation attendants460Child care workers461Personal and home care aides462Recreation and fitness workers464Residential advisors465Personal care and service workers, all other470First-line supervisors/managers of retail sales workers471First-line supervisors/managers of non-retail sales workers472Cashiers474Counter and rental clerks475Parts salespersons476Retail salespersons480Advertising sales agents481Insurance sales agents482Securities, commodities, and financial services sales agents483Travel agents484Sales representatives, services, all other485Sales representatives, wholesale and manufacturing490Models, demonstrators, and product promoters492Real estate brokers and sales agents493Sales engineers494Telemarketers495Door-to-door sales workers, news and street vendors, and related workers496Sales and related workers, all other500First-line supervisors/managers of office and administrative support workers501Switchboard operators, including answering service502Telephone operators503Communications equipment operators, all other510Bill and account collectors511Billing and posting clerks and machine operators512Bookkeeping, accounting, and auditing clerks513Gaming cage workers514Payroll and timekeeping clerks515Procurement clerks516Tellers520Brokerage clerks521Correspondence clerks522Court, municipal, and license clerks523Credit authorizers, checkers, and clerks524Customer service representatives525Eligibility interviewers, government programs526File Clerks530Hotel, motel, and resort desk clerks531Interviewers, except eligibility and loan532Library assistants, clerical533Loan interviewers and clerks534New accounts clerks535Order clerks536Human resources assistants, except payroll and timekeeping540Receptionists and information clerks541Reservation and transportation ticket agents and travel clerks542Information and record clerks, all other550Cargo and freight agents551Couriers and messengers552Dispatchers553Meter readers, utilities554Postal service clerks555Postal service mail carriers556Postal service mail sorters, processors, and processing machine operators560Production, planning, and expediting clerks561Shipping, receiving, and traffic clerks562Stock clerks and order fillers563Weighers, measurers, checkers, and samplers, recordkeeping570Secretaries and administrative assistants580Computer operators581Data entry keyers582Word processors and typists583Desktop publishers584Insurance claims and policy processing clerks585Mail clerks and mail machine operators, except postal service586Office clerks, general590Office machine operators, except computer591Proofreaders and copy markers592Statistical assistants593Office and administrative support workers, all other600First-line supervisors/managers of farming, fishing, and forestry workers601Agricultural inspectors602Animal breeders604Graders and sorters, agricultural products605Miscellaneous agricultural workers610Fishers and related fishing workers611Hunters and trappers612Forest and conservation workers613Logging workers620First-line supervisors/managers of construction trades and extraction workers621Boilermakers622Brickmasons, blockmasons, and stonemasons623Carpenters624Carpet, floor, and tile installers and finishers625Cement masons, concrete finishers, and terrazzo workers626Construction laborers630Paving, surfacing, and tamping equipment operators631Pile-driver operators632Operating engineers and other construction equipment operators633Drywall installers, ceiling tile installers, and tapers635Electricians636Glaziers640Insulation workers642Painters, construction and maintenance643Paperhangers644Pipelayers, plumbers, pipefitters, and steamfitters646Plasterers and stucco masons650Reinforcing iron and rebar workers651Roofers652Sheet metal workers653Structural iron and steel workers660Helpers, construction trades666Construction and building inspectors670Elevator installers and repairers671Fence erectors672Hazardous materials removal workers673Highway maintenance workers674Rail-track laying and maintenance equipment operators675Septic tank servicers and sewer pipe cleaners676Miscellaneous construction and related workers680Derrick, rotary drill, and service unit operators, oil, gas, and mining682Earth drillers, except oil and gas683Explosives workers, ordnance handling experts, and blasters684Mining machine operators691Roof bolters, mining692Roustabouts, oil and gas693Helpers--extraction workers694Other extraction workers700First-line supervisors/managers of mechanics, installers, and repairers701Computer, automated teller, and office machine repairers702Radio and telecommunications equipment installers and repairers703Avionics technicians704Electric motor, power tool, and related repairers705Electrical and electronics installers and repairers, transportation equipment710Electrical and electronics repairers, industrial and utility711Electronic equipment installers and repairers, motor vehicles712Electronic home entertainment equipment installers and repairers713Security and fire alarm systems installers714Aircraft mechanics and service technicians715Automotive body and related repairers716Automotive glass installers and repairers720Automotive service technicians and mechanics721Bus and truck mechanics and diesel engine specialists722Heavy vehicle and mobile equipment service technicians and mechanics724Small engine mechanics726Miscellaneous vehicle and mobile equipment mechanics, installers, and repairers730Control and valve installers and repairers731Heating, air conditioning, and refrigeration mechanics and installers732Home appliance repairers733Industrial and refractory machinery mechanics734Maintenance and repair workers, general735Maintenance workers, machinery736Millwrights741Electrical power-line installers and repairers742Telecommunications line installers and repairers743Precision instrument and equipment repairers751Coin, vending, and amusement machine servicers and repairers752Commercial divers754Locksmiths and safe repairers755Manufactured building and mobile home installers756Riggers760Signal and track switch repairers761Helpers--installation, maintenance, and repair workers762Other installation, maintenance, and repair workers770First-line supervisors/managers of production and operating workers771Aircraft structure, surfaces, rigging, and systems assemblers772Electrical, electronics, and electromechanical assemblers773Engine and other machine assemblers774Structural metal fabricators and fitters775Miscellaneous assemblers and fabricators780Bakers781Butchers and other meat, poultry, and fish processing workers783Food and tobacco roasting, baking, and drying machine operators and tenders784Food batchmakers785Food cooking machine operators and tenders790Computer control programmers and operators792Extruding and drawing machine setters, operators, and tenders, metal and plastic793Forging machine setters, operators, and tenders, metal and plastic794Rolling machine setters, operators, and tenders, metal and plastic795Cutting, punching, and press machine setters, operators, and tenders, metal and plastic796Drilling and boring machine tool setters, operators, and tenders, metal and plastic800Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic801Lathe and turning machine tool setters, operators, and tenders, metal and plastic802Milling and planing machine setters, operators, and tenders, metal and plastic803Machinists804Metal furnace and kiln operators and tenders806Model makers and patternmakers, metal and plastic810Molders and molding machine setters, operators, and tenders, metal and plastic812Multiple machine tool setters, operators, and tenders, metal and plastic813Tool and die makers814Welding, soldering, and brazing workers815Heat treating equipment setters, operators, and tenders, metal and plastic816Lay-out workers, metal and plastic820Plating and coating machine setters, operators, and tenders, metal and plastic821Tool grinders, filers, and sharpeners822Metalworkers and plastic workers, all other823Bookbinders and bindery workers824Job printers825Prepress technicians and workers826Printing machine operators830Laundry and dry-cleaning workers831Pressers, textile, garment, and related materials832Sewing machine operators833Shoe and leather workers and repairers834Shoe machine operators and tenders835Tailors, dressmakers, and sewers836Textile bleaching and dyeing machine operators and tenders840Textile cutting machine setters, operators, and tenders841Textile knitting and weaving machine setters, operators, and tenders842Textile winding, twisting, and drawing out machine setters, operators, and tenders843Extruding and forming machine setters, operators, and tenders, synthetic and glass fibers844Fabric and apparel patternmakers845Upholsterers846Textile, apparel, and furnishings workers, all other850Cabinetmakers and bench carpenters851Furniture finishers852Model makers and patternmakers, wood853Sawing machine setters, operators, and tenders, wood854Woodworking machine setters, operators, and tenders, except sawing855Woodworkers, all other860Power plant operators, distributors, and dispatchers861Stationary engineers and boiler operators862Water and liquid waste treatment plant and system operators863Miscellaneous plant and system operators864Chemical processing machine setters, operators, and tenders865Crushing, grinding, polishing, mixing, and blending workers871Cutting workers872Extruding, forming, pressing, and compacting machine setters, operators, and tenders873Furnace, kiln, oven, drier, and kettle operators and tenders874Inspectors, testers, sorters, samplers, and weighers875Jewelers and precious stone and metal workers876Medical, dental, and ophthalmic laboratory technicians880Packaging and filling machine operators and tenders881Painting workers883Photographic process workers and processing machine operators884Semiconductor processors885Cementing and gluing machine operators and tenders886Cleaning, washing, and metal pickling equipment operators and tenders890Cooling and freezing equipment operators and tenders891Etchers and engravers892Molders, shapers, and casters, except metal and plastic893Paper goods machine setters, operators, and tenders894Tire builders895Helpers--production workers896Production workers, all other900Supervisors, transportation and material moving workers903Aircraft pilots and flight engineers904Air traffic controllers and airfield operations specialists911Ambulance drivers and attendants, except emergency medical technicians912Bus drivers913Driver/sales workers and truck drivers914Taxi drivers and chauffeurs915Motor vehicle operators, all other920Locomotive engineers and operators923Railroad brake, signal, and switch operators924Railroad conductors and yardmasters926Subway, streetcar, and other rail transportation workers930Sailors and marine oilers931Ship and boat captains and operators933Ship engineers934Bridge and lock tenders935Parking lot attendants936Service station attendants941Transportation inspectors942Other transportation workers950Conveyor operators and tenders951Crane and tower operators952Dredge, excavating, and loading machine operators956Hoist and winch operators960Industrial truck and tractor operators961Cleaners of vehicles and equipment962Laborers and freight, stock, and material movers, hand963Machine feeders and offbearers964Packers and packagers, hand965Pumping station operators972Refuse and recyclable material collectors973Shuttle car operators974Tank car, truck, and ship loaders975Material moving workers, all other980Military officer special and tactical operations leaders/managers981First-line enlisted military supervisors/managers982Military enlisted tactical operations and air/weapons specialists and crew members983Military, rank not specified992Unemployed, not classified by occupation998Nonclassifiable999Occupation illegible/missing/unknownWork: Occupation Variables -- PERSONOccupation, 1990 basisPuerto Rico 1990: Persons age 16+ who had worked within the previous five years, and persons seeking work who last worked more than 5 years ago [discrepancies: none]This variable indicates person's occupation, 1990 modal category assignment.000NIU (not in universe)003Legislators004Chief executives and general administrators, public administration005Administrators and officials, public administration006Administrators, protective services007Financial managers008Personnel and labor relations managers009Purchasing managers013Managers, marketing, advertising, and public relations014Administrators, education and related fields015Managers, medicine and health016Postmasters and mail superintendents017Managers, food serving and lodging establishments018Managers, properties and real estate019Funeral directors021Managers, service organizations, n.e.c.022Managers and administrators, n.e.c.023Accountants and auditors024Underwriters025Other financial officers026Management analysts027Personnel, training, and labor relations specialists028Purchasing agents and buyers, farm products029Buyers, wholesale and retail trade, except farm products033Purchasing agents and buyers, n.e.c.034Business and promotion agents035Construction inspectors036Inspectors and compliance officers, except construction037Management related occupations, n.e.c.043Architects044Aerospace engineers045Metallurgical and materials engineers046Mining engineers047Petroleum engineers048Chemical engineers049Nuclear engineers053Civil engineers054Agricultural engineers055Electrical and electronic engineers056Industrial engineers057Mechanical engineers058Marine and naval architects059Engineers, n.e.c.063Surveyors and mapping scientists064Computer systems analysts and scientists065Operations and systems researchers and analysts066Actuaries067Statisticians068Mathematical scientists, n.e.c.069Physicists and astronomers073Chemists, except biochemists074Atmospheric and space scientists075Geologists and geodesists076Physical scientists, n.e.c.077Agricultural and food scientists078Biological and life scientists079Forestry and conservation scientists083Medical scientists084Physicians085Dentists086Veterinarians087Optometrists088Podiatrists089Health diagnosing practitioners, n.e.c.095Registered nurses096Pharmacists097Dietitians098Respiratory therapists099Occupational therapists103Physical therapists104Speech therapists105Therapists, n.e.c.106Physicians' assistants113Earth, environmental, and marine science teachers114Biological science teachers115Chemistry teachers116Physics teachers117Natural science teachers, n.e.c.118Psychology teachers119Economics teachers123History teachers124Political science teachers125Sociology teachers126Social science teachers, n.e.c.127Engineering teachers128Mathematical science teachers129Computer science teachers133Medical science teachers134Health specialties teachers135Business, commerce, and marketing teachers136Agriculture and forestry teachers137Art, drama, and music teachers138Physical education teachers139Education teachers143English teachers144Foreign language teachers145Law teachers146Social work teachers147Theology teachers148Trade and industrial teachers149Home economics teachers153Teachers, postsecondary, n.e.c.154Postsecondary teachers, subject n.s.155Teachers, prekindergarten and kindergarten156Teachers, elementary school157Teachers, secondary school158Teachers, special education159Teachers, n.e.c.163Counselors, educational and vocational164Librarians165Archivists and curators166Economists167Psychologists168Sociologists169Social scientists, n.e.c.173Urban planners174Social workers175Recreation workers176Clergy177Religious workers, n.e.c.178Lawyers179Judges183Authors184Technical writers185Designers186Musicians and composers187Actors and directors188Painters, sculptors, craft-artists, and artist printmakers189Photographers193Dancers194Artists, performers, and related workers, n.e.c.195Editors and reporters197Public relations specialists198Announcers199Athletes203Clinical laboratory technologists and technicians204Dental hygienists205Health record technologists and technicians206Radiologic technicians207Licensed practical nurses208Health technologists and technicians, n.e.c.213Electrical and electronic technicians214Industrial engineering technicians215Mechanical engineering technicians216Engineering technicians, n.e.c.217Drafting occupations218Surveying and mapping technicians223Biological technicians224Chemical technicians225Science technicians n.e.c.226Airplane pilots and navigators227Air traffic controllers228Broadcast equipment operators229Computer programmers233Tool programmers, numerical control234Legal assistants235Technician, n.e.c.243Supervisors and proprietors, sales occupations253Insurance sales occupations254Real estate sales occupations255Securities and financial services sales occupations256Advertising and related sales occupations257Sales occupations, other business services258Sales engineers259Sales representatives, mining, manufacturing, and wholesale263Sales workers, motor vehicles and boats264Sales workers, apparel265Sales workers, shoes266Sales workers, furniture and home furnishings267Sales workers, radio, TV, hi-fi, and appliances268Sales workers, hardware and building supplies269Sales workers, parts274Sales workers, other commodities275Sales counter clerks276Cashiers277Street and door-to-door sales workers278News vendors283Demonstrators, promoters and models, sales284Auctioneers285Sales support occupations, n.e.c.290Sales workers -- allocated303Supervisors, general office304Supervisors, computer equipment operators305Supervisors, financial records processing306Chief communications operators307Supervisors; distribution, scheduling, and adjusting clerks308Computer operators309Peripheral equipment operators313Secretaries314Stenographers315Typists316Interviewers317Hotel clerks318Transportation ticket and reservation agents319Receptionists323Information clerks, n.e.c.325Classified-ad clerks326Correspondence clerks327Order clerks328Personnel clerks, except payroll and timekeeping329Library clerks335File clerks336Records clerks337Bookkeepers, accounting, and auditing clerks338Payroll and timekeeping clerks339Billing clerks343Cost and rate clerks344Billing, posting, and calculating machine operators345Duplicating machine operators346Mail preparing and paper handling machine operators347Office machine operators, n.e.c.348Telephone operators353Communications equipment operators, n.e.c.354Postal clerks except mail carriers355Mail carriers, postal service356Mail clerks, except postal service357Messengers359Dispatchers363Production coordinators364Traffic, shipping, and receiving clerks365Stock and inventory clerks366Meter readers368Weighers, measurers, checkers, and samplers373Expediters374Material recording, scheduling, and distributing clerks, n.e.c.375Insurance adjusters, examiners, and investigators376Investigators and adjusters, except insurance377Eligibility clerks, social welfare378Bill and account collectors379General office clerks383Bank tellers384Proofreaders385Data-entry keyers386Statistical clerks387Teachers' aides389Administrative support occupations, n.e.c. 390Professional, technical, and kindred workers -- allocated391Clerical and kindred workers -- allocated403Launderers and ironers404Cooks, private household405Housekeepers and butlers406Child care workers, private household407Private household cleaners and servants408Private household workers -- allocated413Supervisors, firefighting and fire prevention occupations414Supervisors, police and detectives415Supervisors, guards416Fire inspection and fire prevention occupations417Firefighting occupations418Police and detectives, public service423Sheriffs, bailiffs, and other law enforcement officers424Correctional institution officers425Crossing guards426Guards and police, except public service427Protective service occupations, n.e.c.433Supervisors, food preparation and service occupations434Bartenders435Waiters and waitresses436Cooks438Food counter, fountain and related occupations439Kitchen workers, food preparation443Waiters'/waitresses' assistants444Miscellaneous food preparation occupations445Dental assistants446Health aides, except nursing447Nursing aides, orderlies, and attendants448Supervisors, cleaning and building service workers449Maids and housemen453Janitors and cleaners454Elevator operators455Pest control occupations456Supervisors, personal service occupations457Barbers458Hairdressers and cosmetologists459Attendants, amusement and recreation facilities461Guides462Ushers463Public transportation attendants464Baggage porters and bellhops465Welfare service aides466Family child care providers467Early childhood teachers' assistants468Child care workers, n.e.c.469Personal service occupations, n.e.c.473Farmers, except horticultural474Horticultural specialty farmers475Managers, farms, except horticultural476Managers, horticultural specialty farms477Supervisors, farm workers479Farm workers480Farm laborers and farm foreman -- allocated483Marine life cultivation workers484Nursery workers485Supervisors, related agricultural occupations486Groundskeepers and gardeners, except farm487Animal caretakers, except farm488Graders and sorters, agricultural products489Inspectors, agricultural products494Supervisors, forestry, and logging workers495Forestry workers except logging496Timber cutting and logging occupations497Captains and other officers, fishing vessels498Fishers499Hunters and trappers503Supervisors, mechanics and repairers505Automobile mechanics506Automobile mechanic apprentices507Bus, truck, and stationary engine mechanics508Aircraft engine mechanics509Small engine repairers514Automobile body and related repairers515Aircraft mechanics, except engine516Heavy equipment mechanics517Farm equipment mechanics518Industrial machinery repairers519Machinery maintenance occupations523Electronic repairers, communications and industrial equipment525Data processing equipment repairers526Household appliance and power tool repairers527Telephone line installers and repairers529Telephone installers and repairers533Misc. electrical and electronic equipment repairers534Heating, air conditioning, and refrigeration mechanics535Camera, watch, and musical instrument repairers536Locksmiths and safe repairers538Office machine repairers539Mechanical controls and valve repairers543Elevator installers and repairers544Millwrights547Mechanics and repairers, n.e.c.549Mechanics and repairers, n.s.553Supervisors, brickmasons, stonemasons, and tile setters554Supervisors, carpenters and related workers555Supervisors, electricians and power transmission installers556Supervisors, painters, paperhangers, and plasterers557Supervisors, plumbers, pipefitters, and steamfitters558Supervisors, construction, n.e.c.563Brickmasons and stonemasons564Brickmason and stonemason apprentices565Tile setters, hard and soft566Carpet installers567Carpenters569Carpenter apprentices573Drywall installers575Electricians576Electrician apprentices577Electrical power installers and repairers579Painters, construction and maintenance583Paperhangers584Plasterers585Plumbers, pipefitters, and steamfitters587Plumber, pipe fitter, and steamfitter apprentices588Concrete and terrazzo finishers589Glaziers593Insulation workers594Paving, surfacing, and tamping equipment operators595Roofers596Sheetmetal duct installers597Structural metal workers598Drillers, earth599Construction trades, n.e.c.613Supervisors, extractive occupations614Drillers, oil well615Explosives workers616Mining machine operators617Mining occupations, n.e.c.628Supervisors, production occupations634Tool and die makers635Tool and die maker apprentices636Precision assemblers, metal637Machinists639Machinist apprentices643Boilermakers644Precision grinders, filers, and tool sharpeners645Patternmakers and model makers, metal646Lay-out workers647Precious stones and metals workers (jewelers)649Engravers, metal653Sheet metal workers654Sheet metal worker apprentices655Miscellaneous precision metal workers656Patternmakers and model makers, wood657Cabinet makers and bench carpenters658Furniture and wood finishers659Miscellaneous precision woodworkers666Dressmakers667Tailors668Upholsterers669Shoe repairers674Miscellaneous precision apparel and fabric workers675Hand molders and shapers, except jewelers676Patternmakers, lay-out workers, and cutters677Optical goods workers678Dental laboratory and medical appliance technicians679Bookbinders683Electrical and electronic equipment assemblers684Miscellaneous precision workers, n.e.c.686Butchers and meat cutters687Bakers688Food batchmakers689Inspectors, testers, and graders693Adjusters and calibrators694Water and sewage treatment plant operators695Power plant operators696Stationary engineers699Miscellaneous plant and system operators703Lathe and turning machine set-up operators704Lathe and turning machine operators705Milling and planing machine operators706Punching and stamping press machine operators707Rolling machine operators708Drilling and boring machine operators709Grinding, abrading, buffing, and polishing machine operators713Forging machine operators714Numerical control machine operators715Miscellaneous metal, plastic, stone, and glass working machine operators717Fabricating machine operators, n.e.c.719Molding and casting machine operators723Metal plating machine operators724Heat treating equipment operators725Miscellaneous metal and plastic processing machine operators726Wood lathe, routing, and planing machine operators727Sawing machine operators728Shaping and joining machine operators729Nailing and tacking machine operators733Miscellaneous woodworking machine operators734Printing press operators735Photoengravers and lithographers736Typesetters and compositors737Miscellaneous printing machine operators738Winding and twisting machine operators739Knitting, looping, taping, and weaving machine operators743Textile cutting machine operators744Textile sewing machine operators745Shoe machine operators747Pressing machine operators748Laundering and dry cleaning machine operators749Miscellaneous textile machine operators753Cementing and gluing machine operators754Packaging and filling machine operators755Extruding and forming machine operators756Mixing and blending machine operators757Separating, filtering, and clarifying machine operators758Compressing and compacting machine operators759Painting and paint spraying machine operators763Roasting and baking machine operators, food764Washing, cleaning, and pickling machine operators765Folding machine operators766Furnace, kiln, and oven operators, except food768Crushing and grinding machine operators769Slicing and cutting machine operators773Motion picture projectionists774Photographic process machine operators777Miscellaneous machine operators, n.e.c.779Machine operators, n.s.783Welders and cutters784Solderers and brazers785Assemblers786Hand cutting and trimming occupations787Hand molding, casting, and forming occupations789Hand painting, coating, and decorating occupations793Hand engraving and printing occupations795Miscellaneous hand working occupations796Production inspectors, checkers, and examiners797Production testers798Production samplers and weighers799Graders and sorters, except agricultural803Supervisors, motor vehicle operators804Truck drivers806Driver-sales workers808Bus drivers809Taxicab drivers and chauffeurs813Parking lot attendants814Motor transportation occupations, n.e.c.815Transport equipment operatives -- allocated823Railroad conductors and yardmasters824Locomotive operating occupations825Railroad brake, signal, and switch operators826Rail vehicle operators, n.e.c.828Ship captains and mates, except fishing boats829Sailors and deckhands833Marine engineers834Bridge, lock, and lighthouse tenders843Supervisors, material moving equipment operators844Operating engineers845Longshore equipment operators848Hoist and winch operators849Crane and tower operators853Excavating and loading machine operators855Grader, dozer, and scraper operators856Industrial truck and tractor equipment operators859Miscellaneous material moving equipment operators864Supervisors, handlers, equipment cleaners, and laborers, n.e.c.865Helpers, mechanics and repairers866Helpers, construction trades867Helpers, surveyor868Helpers, extractive occupations869Construction laborers874Production helpers875Garbage collectors876Stevedores877Stock handlers and baggers878Machine feeders and offbearers883Freight, stock, and material handlers, n.e.c.885Garage and service station related occupations887Vehicle washers and equipment cleaners888Hand packers and packagers889Laborers, except construction890Laborers, except farm -- allocated903Commissioned Officers and Warrant Officers904Non-commissioned Officers and Other Enlisted Personnel905Military occupation, rank not specified909Last worked 1984 or earlier999Occupation illegible/missing/unknownWork: Occupation Variables -- PERSONConsensual marriage<svar v="PR90A420 PR90A560" a="all"><span class="em">5. Marital status</span><br /><br />Mark (X) one box.<br /><br /><div class="i1">[] 1 Now married<br />[] 2 Consensually married<br />[] 3 Widowed<br />[] 4 Divorced<br />[] 5 Separated<br />[] 6 Never married</div><br /></svar>Puerto Rico 1990: Persons age 15+ who are now married [discrepancies: none]This variable indicates whether a married respondent is consensually married or not. Consensual marriage refers to a marital union that is not prescribed by a legal, civil contract.0NIU (not in universe)1Not consensually married, or not reported2Consensually marriedDemographic Variables -- PERSONData quality flag for SPEAKSPA (speaks Spanish)Puerto Rico 1990: All personsThis variable is a data quality flag for SPEAKSPA (speaks Spanish).0Not allocated4AllocatedPerson Imputation Flags Variables -- PERSONData quality flag for activity while in U.S.Puerto Rico 1990: All personsThis variable is a data quality flag for activity while in U.S.0Not allocated4AllocatedPerson Imputation Flags Variables -- PERSONData quality flag for USADURR (length of stay in the U.S.)Puerto Rico 1990: All personsThis variable is a data quality flag for USADURR (Length of stay in the U.S.).0Not allocated4AllocatedPerson Imputation Flags Variables -- PERSONData quality flag for USARESID (Residence in the United States for 6 months or more)Puerto Rico 1990: All personsThis variable is a data quality flag for USARESID (Residence in the United States for 6 months or more).0Not allocated4AllocatedPerson Imputation Flags Variables -- PERSONData quality flag for USAYRRET (Year of return to Puerto Rico from U.S.)Puerto Rico 1990: All personsThis variable is a data quality flag for USAYRRET (Year of return to Puerto Rico from U.S.).0Not allocated4AllocatedPerson Imputation Flags Variables -- PERSONData quality flag for VOCSCTYP (Type of vocational school)Puerto Rico 1990: All personsThis variable is a data quality flag for VOCSCTYP (Type of vocational school attended).0Not allocated4AllocatedPerson Imputation Flags Variables -- PERSONData quality flag for VOCTRAIN (Completion of vocational training)Puerto Rico 1990: All personsThis is a data quality flag for VOCTRAIN (Completion of vocational training).0Not allocated4AllocatedPerson Imputation Flags Variables -- PERSONMain activity in U.S. during stay<svar v="PR90A568" a="all"><span class="em">13d. During the last period [respondent] lived in the United States for 6 or more months, what was [respondent's] main activity?</span><br /><div class="i1">[] 1 In the U.S. Armed Forced<br />[] 2 Working at a job or business (either full or part-time)<br />[] 3 Attending school or college<br />[] 4 Something else</div><br /></svar>Puerto Rico 1990: Persons age 5+ who lived in the U.S for 6 months or more within the last 10 years[discrepancies: none]This variable indicates respondent's main activity in U.S. during stay of 6 months or more.0NIU (not in universe)1In U.S. Armed Forces2Working at job or business (part or full time)3Attending school or college4Activity other than U.S. Armed Forces, working at job/business, or attending school/collegeOther Person Variables -- PERSONLength of last stay in U.S.<svar v="PR90A569" a="all"><span class="em">13b. How long did [respondent] live in the United States during the last period of 6 or more months?</span><br /><div class="i1">[] 1 6 months to a year<br />[] 2 1 to 2 years<br />[] 3 3 to 4 years<br />[] 4 5 years<br />[] 5 6 to 9 years<br />[] 6 10 or more years</div><br /></svar>Puerto Rico 1990: Persons age 5+ who lived in the U.S for 6 months or more within the last 10 years [discrepancies: none]This variable indicates respondent's length of last stay in the United States if the respondent resided in the United States for 6 months or more during the last five or ten years.0NIU (not in universe)16 months to 1 year21 to 2 years33 to 4 years45 years 56 to 9 years610 or more yearsOther Person Variables -- PERSONResidence in the United States for 6 months or morePuerto Rico 1990: Persons age 5+ [discrepancies: none]This variable indicates whether or not the respondent had lived in the United States for the duration of 6 months or more during the last 10 years.0NIU (not in universe)1Yes, within the last 10 years 2No, not within the last 10 years Migration: Global Variables -- PERSONYear of return to Puerto Rico from U.S.<svar v="PR90A571" a="all"><span class="em">13c. When did [respondent] come or return to Puerto Rico after that period in the U.S.? </span><br /><div class="i1">[] 1 1990<br />[] 2 1989<br />[] 3 1988<br />[] 4 1987<br />[] 5 1986<br />[] 6 1985<br />[] 7 1984<br />[] 8 1983<br />[] 9 1980 to 1982</div><br /></svar>Puerto Rico 1990: Persons age 5+ who lived in the U.S for 6 months or more within the last 10 years[discrepancies: none]This variable indicates the respondent's year of return to Puerto Rico from the United States, if respondent had lived in the United States for 6 months or more during the preceding ten years period and had subsequently returned to live in Puerto Rico at the time of the census enumeration.0NIU (not in universe)1This year 2Previous year32 years ago43 years ago54 years ago65 years ago76 years ago87 years ago98 to 10 years agoMigration: Global Variables -- PERSONType of vocational school<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A572" a="all"><span class="em">21b. At which kind of school was the training received?</span><br /><div class="i1">[ ] 1 Business school, trade school or junior college<br />[ ] 2 High school vocational program<br />[ ] 3 Training program at place of work<br />[ ] 4 Other school -- Specify --> ____</div><br /></svar>Puerto Rico 1990: Persons age 15+ who completed vocational training [discrepancies: none]This variable indicates the type of vocational school attended by respondent, if respondent completed some type of vocational training.0NIU (not in universe)1Business/trade school/junior college2High school vocational program3Training program at place of work4Other schoolEducation Variables -- PERSONCompletion of vocational training<svar v="PR90A580 PR90A465 PR90A466 PR90A467 PR90A468 PR90A471 PR90A472 PR90A473 PR90A469 PR90A462 PR90A464 PR90A463 PR90A573 PR90A572 PR90A439 PR90A440 PR90A460 PR90A461 PR90A474 PR90A475 PR90A477 PR90A476 PR90A444 PR90A445 PR90A446 PR90A442 PR90A430 PR90A431 PR90A435 PR90A436 PR90A443 PR90A437 PR90A438 PR90A441 PR90A447 PR90A448 PR90A450 PR90A451 PR90A452 PR90A453 PR90A454 PR90A455 PR90A456 PR90A522 PR90A470">[Questions 17 through 34 are for individuals aged 15 and over]<br /></svar></p>
<p><svar v="PR90A573" a="all"><span class="em">21a. Has [respondent] completed the requirements for a vocational training program at a trade school, business school, hospital or some other kind of school for occupational training? </span><br /><br />Do not include academic college courses.<br /><div class="i1">[ ] 1 Yes<br />[ ] 2 No - Skip to 22b</div><br /></svar>Puerto Rico 1990: Persons age 15+ [discrepancies: none]This variable indicates whether or not respondent completed vocational training.0NIU (not in universe)1Yes2NoEducation Variables -- PERSONLiteracy<svar v="PR90A574" a="all"><span class="em">14. Does [respondent] know how to read and write (in any language)?</span><br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar>Puerto Rico 1990: Persons age 5+ [discrepancies: none]This variable indicates whether the respondent could read and write in any language.0NIU (not in universe)1No, illiterate (cannot read or write)2Yes, literate in any language (reads and writes)Education Variables -- PERSONFlag for prlit (Literacy)Puerto Rico 1990: All personsThis variable is a data quality flag for PRLIT (Literacy).0Not allocated4AllocatedPerson Imputation Flags Variables -- PERSONFlag for fbpl (Father's birthplace)Puerto Rico 1990: All personsThis variable is a data quality flag for FBPL (Father's birthplace).0Not allocated4AllocatedPerson Imputation Flags Variables -- PERSONFlag for mbpl (Mother's birthplace)Puerto Rico 1990: All personsThis variable is a data quality flag for MBPL (Mother's birthplace).0Not allocated4AllocatedPerson Imputation Flags Variables -- PERSONSpeaks Spanish<svar v="PR90A578" a="all"><span class="em">15a. Can [respondent] speak Spanish?</span><br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar>Puerto Rico 1990: Persons age 5+ [discrepancies: none]This variable indicates if respondent speaks Spanish.0NIU (not in universe)1Does not speak Spanish2Yes, speaks SpanishEthnicity and Language Variables -- PERSONYear of immigration to Puerto Rico<svar v="PR90A579" a="all"><span class="em">8. When did [respondent] come to Puerto Rico to stay?</span><br /><br />If entered country more than once, ask -- What is the latest year?<br /><br /><div class="i1">[] 0 1987 to 1990<br />[] 1 1985 or 1986<br />[] 2 1982 to 1984<br />[] 3 1980 or 1981<br />[] 4 1975 to 1979<br />[] 5 1970 to 1974<br />[] 6 1965 to 1969<br />[] 7 1960 to 1964<br />[] 8 1950 to 1959<br />[] 9 Before 1950</div><br /></svar>Puerto Rico 1990: Persons born outside of Puerto Rico [discrepancies: none]This variable indicates the year in which a foreign-born person came to Puerto Rico to stay.000NIU (not in universe)9901987 to 19909861985 to 19869841982 to 19849811980 to 19819791975 to 19799741970 to 19749691965 to 19699641960 to 19649591950 to 19599491949 or earlierNativity and Birthplace Variables -- PERSON