{"type":"survey","doc_desc":{"title":"IV National Population Census","idno":"DDI_DOM_1960_PHC_v01_M_v7.5_A_IPUMS","producers":[{"name":"IPUMS","abbr":"IPUMS","affiliation":"University of Minnesota","role":"Integration Harmonization Documentation"}],"prod_date":"May 20, 2024","version_statement":{"version":"Version 7.5 October 2024. NEW FEATURES.\n\n--Historical data from NAPP project now available from IPUMS-International.\n--Historical census data from Canada, Denmark, the United Kingdom, Germany, Iceland, Norway, Sweden, and the United States for the period 1703 to 1911 are now available from IPUMS-International. The complete count and sample datasets were previously disseminated by the North Atlantic Population Project (NAPP). Where possible, the data have been integrated into existing IPUMS-International variable coding schema. Some new variables have been created that are available only for these pre-1960 datasets. NAPP data users should note that many NAPP variables are available from IPUMS-International by different names. For a complete list of NAPP variables that have been renamed in IPUMS-Interational, refer to the crosswalk.\n--Individual country shapefiles for the third-level administrative level of geography are now available for a few IPUMS samples.\n--New spatially harmonized previous-residence variables at the second administrative level of geography are available for several samples in this data release. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables.\n--IPUMS now hosts the Census Mosaic data collection. Census Mosaic identifies, gathers, harmonizes, and distributes surviving historical census microdata from regions of Continental Europe where complete centralized records are not available. The Mosaic project was founded by a consortium of historical social scientists in Europe. Data can be downloaded as static files from the Census Mosaic website. Although the data are not yet integrated fully into IPUMS International, variables have been standardized and harmonized to be roughly compatible with IPUMS coding structures.\n\nNEW SAMPLES.\n\n--Full-count datasets for Great Britain 1851, 1861, 1871 (Scotland only), 1891, and 1901. \n--Full-count dataset for Sweden 1910. Denmark (1845, 1880, and 1885) \n--Labor force surveys from Spain and eight new labor force surveys from Italy added to the series.\n\nNewly added countries: \nBenin, Cote d'Ivoire, Finland, Guatemala, Honduras, Laos, Lesotho, Mauritius, Myanmar, Papua New Guinea, Russia, Slovak Republic, Suriname, Togo, and Zimbabwe\n\nNew samples for: \nBolivia, Cambodia, Cambodia, Chile, Cuba, Cote d'Ivoire, Egypt (1848 and 1868, historical samples), Fiji, Guinea, Ireland, Israel, Italy, Lao PDR, Mexico, Morocco, Nepal, Netherlands, Palestine, Peru, Philippines, Puerto Rico, Rwanda, Senegal, Sierra Leone, South Africa, Switzerland, Uganda, United States, United Kingdom, United States, Vietnam, and Zimbabwe\n\nSUPPLEMENTAL DATA.\n\nData from censuses from Benin and Lesotho that record individual fertility and\/or mortality events were made available in IPUMS-International. These files can be downloaded and linked to data produced by the extract system.\n\nNEW VARIABLES.\n\n--IPUMS-International now provides harmonized and year-specific geography variables for all countries including 13 new samples from Dominican Republic, Germany, Indonesia, Israel, Malaysia, Mongolia, Nicaragua, Nigeria, Palestine, Paraguay, Thailand, United Kingdom, and Uruguay. First-level and second-level year specific geography variables are also available for all countries. IPUMS provides corresponding, downloadable GIS boundary files for all harmonized and year specific geography variables. More information about IPUMS geography variables is available here.\n--IPUMS International now provides spatially harmonized previous-residence variables at the first administrative level of geography. The codes for the spatially harmonized previous-residence variables match the spatially harmonized place of current residence. More information is available here.\n--IPUMS International provides spatially harmonized previous-residence variables at the first administrative level of geography for all samples; previously available country-specific migration variables at the first administrative level that were not fully harmonized spatially have been phased out. Spatially harmonized previous-residence variables at the second administrative level of geography are available for selected samples. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables.\n--IPUMS International now provides spatially harmonized previous-residence variables at the first administrative level of geography for all samples. Spatially harmonized previous-residence variables at the second administrative level of geography are available for several samples in this data release. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables.\n--Lower (third) level geography codes and GIS files have been added for Bangladesh, China, Ethiopia, Mali, Rwanda, and Zimbabwe. Some geography codes and labels might have changed for these countries to accommodate the newer lower level geography.\n--Added more detailed 3-digit industry and occupation variables for China 2000.\n\nEDITED SAMPLES.\n\n--Revised full-count data for Great Britain 1881\n--Revised full-count datasets for Sweden 1890 and 1900. The revision includes the following changes that improve comparability across Sweden datasets:\n--Revisions to certain ethnicity and work variables (and the underlying source data): ORIGIN, LABFORCE, OCCHISCO, OCRELATE, OCSTATUS.\n--Revisions to unharmonized source variables: SE1890A_HISCOSE, SE1890A_HISCRELSE, SE1890A_HISCSTATSE, SE1890A_OCCMULTISE, SE1900A_HISCOSE, SE1900A_HISCRELSE, SE1900A_HISCSTATSE, SE1900A_OCCMULTISE.\n--A new United States 1850 full-count dataset now matches the corresponding dataset distributed by the USA IPUMS data project. The source variable US1850A_0502 (HISTID) provides a linking key to match person records to the USA version of the data. The IPUMS International version of the data contains names, which the USA version cannot distribute.\n\nEDITED VARIABLES.\n\nAn error affecting HHWT for South Africa 2007 was corrected. The existing values were adjusted by a factor of 0.01.\n\nAGEMARR was edited to add data for Hungary 1980 and 1990.\n\nHarmonized and year-specific geography variables for Brazil and Colombia have been edited to accommodate for the availability of refined municipal boundaries. Users should be aware that codes and labels have changed in all harmonized and year specific geography varaibles for these two countries.\nErrors affecting BPLSE2 (formerly BPLPARSE) for Sweden 1890 and the underlying source variable were corrected. Several thousand cases were incorrectly coded as 258101000. These cases have been updated with the correct code: 258171000.\n\nHarmonized geography variables for Italy, Philippines, Rwanda, and United States have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year specific geography varaibles for these countries. More information about IPUMS geography variables is available here.\nThe codes for the source variable RW2002A_0419 were corrected to include 0 and 8 as possible responses, which were previously identified as 'unknown years' within primary education.\n\nErrors affecting EDUCFJ for Fiji 2006 were corrected.\nA problem with PERWT for Tanzania 2012 was corrected. The previous weights were adjusted to properly reflect population totals.\n\nMOMLOC, POPLOC, and PARRULE were updated for the United States 2010 and 2015 samples to include additional information on subfamilies. Prior to this correction, persons above age 17 were not receiving links to their co-resident mothers and fathers.\n\nAn error affecting codes for the URBAN variable in Egypt 1986 for Cairo, Alexandria, Port-Said, and Suez was corrected.\n\nAn error in INCEARN affecting Venezuela 2001 was corrected. Earned income in the source variable VE2001A_0440 is interpreted as a monthly amount, thus adjustments previously applied to convert data from daily or weekly income were supressed.\n\nAll the six Brazil samples in IPUMS International were replaced with higher density samples.\n\nAn edited version of the Chile 2017 sample was introduced to correct an error in household breaks.\n\nErrors affecting codes for GEO1_ZA in South Africa 2011 and ENUTS1 in United Kingdom 1991 were corrected.\n\nHarmonized geography variables for Cambodia, Fiji, and Nepal have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography varaibles for these countries. More information about IPUMS geography variables is available here.\nAn error in PERWT affecting Nepal 2001 was corrected.\nErrors affecting a code in GQ for Brazil 2010 and Indonesia 2010 were corrected. Both census samples now identify 1-person units created by splitting a large household.\n\nAn error in MARRNUM affecting Indonesia 1976 was corrected. Some codes for GEO1_EG2006 and GEO2_EG2006 were edited.\n\nHarmonized geography variables for Bolivia, Cuba, Guinea, Ireland, Morocco, Palestine, Senegal, South Africa, and Uganda have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here.\nAn error in INCEARN affecting Brazil 1980 was corrected.\nAn error in EDATTAIN affecting Ireland 1971 and 1981 was corrected.\n\nA small proportion of person records in Mexico 1960 were re-classified in MIGRATEP based on information about their current and previous residence. These were previously coded to 'different major administrative unit', even though their place of residence suggests that their last move was within the same major administrative unit.\nThe second-level technician (higher) degrees for Spain 1991, 2001, and 2011 were re-classified into post-secondary technical education in EDATTAIN.\nAn error affecting codes for SEX for Egypt 1848 and 1868 was corrected. The values for male and female had been reversed.\n\nA problem with HHWT and PERWT for Canada 2011 was corrected. The previous weights were adjusted to properly reflect population totals.\nHarmonized geography variables for Cambodia, Lao PDR, Mexico, Peru, Switzerland, Vietnam, Puerto Rico, United Kingdom, and United States have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here.\n\nHarmonized geography variables for Chile and Sierra Leone have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here.\nAn error affecting codes for COMPUTER for Senegal 2013 was corrected.\nAn error affecting labels available in IND for Peru 1993 was corrected.\nAn error affecting codes for persons previously residing abroad for MIG1_5_BO in Bolivia 2001 and 2012 was corrected.\nEDUCAR, EDATTAIN, and YRSCHOOL were adjusted in the Argentina samples to incorporate information on completion of education levels in the data harmonization.\nHHWT and PERWT were calibrated in Kenya 1979 to properly reflect the population distribution by province.\nIn GQ (group quarters status), persons residing in hospitals of all types were reclassified to 'institutional group quarters' from 'other group quarters,' making their treatment consistent with GQTYPE.\n\nErrors affecting codes for BPLBJ2 in Benin 1979, 1992, and 2002 were corrected.\nErrors affecting codes for GEO2_BR1970 in Brazil 1970 were corrected."}},"study_desc":{"title_statement":{"idno":"DOM_1960_PHC_v01_M_v7.5_A_IPUMS","title":"IV National Population Census - IPUMS Subset","alternate_title":"PHC Dominican Republic 1960 (IPUMS Harmonized Subset)"},"authoring_entity":[{"name":"Oficina Nacional de Estad\u00edstica (ONE)","affiliation":""},{"name":"IPUMS","affiliation":"University of Minnesota"}],"production_statement":{"copyright":"(c) Copyright 1960, Oficina Nacional de Estad\u00edstica (ONE) and Minnesota Population Center"},"distribution_statement":{"contact":[{"name":"Oficina Nacional de Estad\u00edstica (ONE)","affiliation":"","email":"","uri":""}],"deposit_date":"","distribution_date":""},"series_statement":{"series_name":"Population and Housing Census [hh\/popcen] IPUMS International","series_info":"DOI:10.18128\/D020.V7.5"},"version_statement":{"version":"Version 7.5. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database.","version_date":"2024-10-05"},"bib_citation_format":"","study_authorization":{"date":""},"study_info":{"topics":[{"topic":"Demographic Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Geography: Global Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Work Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Technical Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Education Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Geography: A-E Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Group Quarters Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Nativity and Birthplace Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Technical Person Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Other Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Work: Occupation Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Work: Industry Variables -- PERSON","vocab":"IPUMS","uri":""}],"time_periods":[{"start":"1960-08-07","end":"1960-08-07","cycle":""}],"coll_dates":[{"start":"1960-08-07","end":"1960-08-07","cycle":""}],"nation":[{"name":"Dominican Republic","abbreviation":"DOM"}],"geog_unit":"Municipality","analysis_unit":"Persons  Persons not organized into households\n        \nUNITS IDENTIFIED:\n- Dwellings: no\n- Vacant Units: no\n- Households: no\n- Individuals: yes\n- Group quarters: no\n\nUNIT DESCRIPTIONS:\n- Dwellings: A structurally separate and independent place or building that has been constructed, built, converted, or made available as a permanent or temporary place of lodging. This includes any kind of shelter, fixed or mobile, occupied as a place of lodging at the time of the census.\n- Households: A private census household is made up of all of the occupants of a private dwelling. It can be made up of one person who is the only occupant of the dwelling. In cases where there is more than one occupant in the dwelling, the private census household is made up of the relatives, guests, renters, and domestic employees of the person considered to be the head of the family, as well as by all other occupants.\n- Group quarters: A place of lodging for a group of persons who are usually not related and who generally live together for reasons of discipline, health, education, religious life, military training, work, etc. Examples include: reformatories, military bases, jails, hospitals, sanatoriums, nursing homes for the elderly, boarding schools, convents, orphanages, worker\u2019s camps, hotels, hostels, hospices, and other similar places of lodging.","universe":"All persons who spent the night of August 6th to August 7th, 1960 in the dwelling. Usual residents who were absent the night of August 6th to August 7th, 1960 due to work, or due to accidental reasons (a party, wake, etc.) were also enumerated. Foreign diplomats and their families were not enumerated.","data_kind":"Population and Housing Census [hh\/popcen]","notes":"Additional notes on a sample that is part of this study:  Dominican Republic 1960\n            Note: Persons not organized into households","ex_post_evaluation":{"completion_date":"","type":""}},"method":{"data_collection":{"sampling_procedure":"MICRODATA SOURCE: Oficina Nacional de Estad\u00edstica (ONE)\n\nSAMPLE SIZE (person records): 201556.\n\nSAMPLE DESIGN: Sample method unknown","sample_frame":{"frame_unit":{"is_primary":"","num_of_units":""}},"coll_mode":["Face-to-face [f2f]"],"research_instrument":"Single enumeration form that requested information on dwellings, households, and individuals.","instru_development_type":"","sources":[{"name":"","origin":"","characteristics":""}],"coll_situation":"de facto, CENSUS DAY: August 7, 1960","weight":"Self-weighting. Expansion factor = 15"}},"data_access":{"dataset_availability":{"access_place":"","access_place_url":""},"dataset_use":{"conf_dec":[{"txt":"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.\n\nTo gain access to the data, a researcher must agree to the following:\n\n(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.\n\n(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.\n\n(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.\n\n(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.\n\nOnce 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.\n\nThese 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.\n\nIPUMS 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:\n\n(1) Swapping an undisclosed fraction of records from one administrative district to another to make positive identification of individuals impossible.\n\n(2) Randomizing the placement of households within districts to disguise the order in which individuals were enumerated or the data processed.\n\n(3) Aggregating codes of sensitive characteristics (e.g., grouping together very small ethnic categories)\n\n(4) Top- and bottom-coding continuous variables to prevent identification of extreme cases.\n\nThe 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.","required":"yes","form_no":"","form_uri":""}],"contact":[{"name":"Oficina Nacional de Estad\u00edstica (ONE)","affiliation":"","email":"","uri":""}],"cit_req":"Steven Ruggles, Lara Cleveland, Rodrigo Lovaton, Sula Sarkar, Matthew Sobek, Derek Burk, Dan Ehrlich, Quinn Heimann, Jane Lee. Integrated Public Use Microdata Series, International: Version 7.5 [dataset]. Minneapolis, MN: IPUMS, 2024. https:\/\/doi.org\/10.1 [dataset]. Minneapolis, MN: IPUMS, 2024. https:\/\/doi.org\/10.18128\/D020.V7.5\n\nResearchers should also acknowledge the statistical agency that originally produced the data: Dominican Republic, Oficina Nacional de Estad\u00edstica (ONE). IV National Population Census\n\n\nThe 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.\n\nCopies of such materials are also gratefully received at ipums@umn.edu.\n\nPrinted matter should be sent to:\nIPUMS International\nMinnesota Population Center\nUniversity of Minnesota\n50 Willey Hall\n225 19th Avenue South\nMinneapolis, MN 55455","conditions":"An adapted version of the dataset, harmonized for international comparability, is available from IPUMS International (https:\/\/international.ipums.org\/international\/) under the following conditions:\n\nIPUMS 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:\n\n(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.\n\n(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.\n\n(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.\n\n(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.\n\nOnce 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.\n\nThese 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.","disclaimer":"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."}}},"schematype":"survey","data_files":[{"file_id":"H","file_name":"DOM1960_PHC-H-H","description":"Household records","case_count":"0","var_count":"23","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"P","file_name":"DOM1960_PHC-P-H","description":"Person records","case_count":"201556","var_count":"39","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null}],"variables":[{"file_id":"H","vid":"RECTYPE","name":"RECTYPE","var_intrvl":"contin","var_dcml":null,"var_wgt":null,"var_is_wgt":null,"loc_start_pos":"1","loc_end_pos":"1","loc_width":"1","loc_rec_seg_no":null,"labl":"Record type","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"RECTYPE identifies the type of record for the case: household or person.\n\nNOTE: 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.","var_catgry":[{"value":"H","labl":"Household","is_missing":null,"stats":[]},{"value":"P","labl":"Person","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":null,"vocab":null,"uri":null}],"var_format":{"type":"character","schema":null,"category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"COUNTRY","name":"COUNTRY","var_intrvl":"discrete","var_dcml":null,"var_wgt":null,"var_is_wgt":null,"loc_start_pos":"2","loc_end_pos":"4","loc_width":"3","loc_rec_seg_no":null,"labl":"Country","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"COUNTRY gives the country from which the sample was drawn.  The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization).","var_catgry":[{"value":"032","labl":"Argentina","is_missing":null,"stats":[]},{"value":"051","labl":"Armenia","is_missing":null,"stats":[]},{"value":"040","labl":"Austria","is_missing":null,"stats":[]},{"value":"050","labl":"Bangladesh","is_missing":null,"stats":[]},{"value":"112","labl":"Belarus","is_missing":null,"stats":[]},{"value":"204","labl":"Benin","is_missing":null,"stats":[]},{"value":"068","labl":"Bolivia","is_missing":null,"stats":[]},{"value":"072","labl":"Botswana","is_missing":null,"stats":[]},{"value":"076","labl":"Brazil","is_missing":null,"stats":[]},{"value":"854","labl":"Burkina Faso","is_missing":null,"stats":[]},{"value":"116","labl":"Cambodia","is_missing":null,"stats":[]},{"value":"120","labl":"Cameroon","is_missing":null,"stats":[]},{"value":"124","labl":"Canada","is_missing":null,"stats":[]},{"value":"152","labl":"Chile","is_missing":null,"stats":[]},{"value":"156","labl":"China","is_missing":null,"stats":[]},{"value":"170","labl":"Colombia","is_missing":null,"stats":[]},{"value":"188","labl":"Costa Rica","is_missing":null,"stats":[]},{"value":"192","labl":"Cuba","is_missing":null,"stats":[]},{"value":"208","labl":"Denmark","is_missing":null,"stats":[]},{"value":"214","labl":"Dominican Republic","is_missing":null,"stats":[]},{"value":"218","labl":"Ecuador","is_missing":null,"stats":[]},{"value":"818","labl":"Egypt","is_missing":null,"stats":[]},{"value":"222","labl":"El Salvador","is_missing":null,"stats":[]},{"value":"231","labl":"Ethiopia","is_missing":null,"stats":[]},{"value":"242","labl":"Fiji","is_missing":null,"stats":[]},{"value":"246","labl":"Finland","is_missing":null,"stats":[]},{"value":"250","labl":"France","is_missing":null,"stats":[]},{"value":"276","labl":"Germany","is_missing":null,"stats":[]},{"value":"288","labl":"Ghana","is_missing":null,"stats":[]},{"value":"300","labl":"Greece","is_missing":null,"stats":[]},{"value":"320","labl":"Guatemala","is_missing":null,"stats":[]},{"value":"324","labl":"Guinea","is_missing":null,"stats":[]},{"value":"332","labl":"Haiti","is_missing":null,"stats":[]},{"value":"340","labl":"Honduras","is_missing":null,"stats":[]},{"value":"348","labl":"Hungary","is_missing":null,"stats":[]},{"value":"352","labl":"Iceland","is_missing":null,"stats":[]},{"value":"356","labl":"India","is_missing":null,"stats":[]},{"value":"360","labl":"Indonesia","is_missing":null,"stats":[]},{"value":"364","labl":"Iran","is_missing":null,"stats":[]},{"value":"368","labl":"Iraq","is_missing":null,"stats":[]},{"value":"372","labl":"Ireland","is_missing":null,"stats":[]},{"value":"376","labl":"Israel","is_missing":null,"stats":[]},{"value":"380","labl":"Italy","is_missing":null,"stats":[]},{"value":"384","labl":"Ivory Coast","is_missing":null,"stats":[]},{"value":"388","labl":"Jamaica","is_missing":null,"stats":[]},{"value":"400","labl":"Jordan","is_missing":null,"stats":[]},{"value":"404","labl":"Kenya","is_missing":null,"stats":[]},{"value":"417","labl":"Kyrgyz 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More information on IPUMS-International geography can be found here.","var_catgry":[{"value":"001","labl":"National district","is_missing":null,"stats":[]},{"value":"002","labl":"La Altagracia","is_missing":null,"stats":[]},{"value":"003","labl":"Azua","is_missing":null,"stats":[]},{"value":"004","labl":"Bahoruco","is_missing":null,"stats":[]},{"value":"005","labl":"Barahona","is_missing":null,"stats":[]},{"value":"006","labl":"Benefactor","is_missing":null,"stats":[]},{"value":"007","labl":"Duarte","is_missing":null,"stats":[]},{"value":"008","labl":"Espaillat","is_missing":null,"stats":[]},{"value":"010","labl":"Julia Molina","is_missing":null,"stats":[]},{"value":"011","labl":"Libertador","is_missing":null,"stats":[]},{"value":"012","labl":"Monte Cristi","is_missing":null,"stats":[]},{"value":"013","labl":"Pedernales, Independencia","is_missing":null,"stats":[]},{"value":"014","labl":"Puerto Plata","is_missing":null,"stats":[]},{"value":"015","labl":"Salcedo","is_missing":null,"stats":[]},{"value":"016","labl":"Saman\u00e1","is_missing":null,"stats":[]},{"value":"017","labl":"San Pedro de Macor\u00eds","is_missing":null,"stats":[]},{"value":"018","labl":"San Rafael","is_missing":null,"stats":[]},{"value":"019","labl":"S\u00e1nchez Ram\u00edrez","is_missing":null,"stats":[]},{"value":"020","labl":"Santiago","is_missing":null,"stats":[]},{"value":"021","labl":"Santiago Rodr\u00edguez","is_missing":null,"stats":[]},{"value":"022","labl":"El Seibo","is_missing":null,"stats":[]},{"value":"023","labl":"Trujillo","is_missing":null,"stats":[]},{"value":"024","labl":"Trujillo Valdez","is_missing":null,"stats":[]},{"value":"025","labl":"Valverde","is_missing":null,"stats":[]},{"value":"026","labl":"La Vega","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":null,"vocab":null,"uri":null}],"var_format":{"type":"numeric","schema":null,"category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"GEO2_DO","name":"GEO2_DO","var_intrvl":"discrete","var_dcml":null,"var_wgt":null,"var_is_wgt":null,"loc_start_pos":"125","loc_end_pos":"133","loc_width":"9","loc_rec_seg_no":null,"labl":"Dominican Republic, Municipality 1960 - 2010 [Level 2; consistent boundaries, GIS]","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"GEO2_ DO identifies the household's municipality within Dominican Republic in all sample years, except 2002. 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More information on IPUMS-International geography can be found here.","var_catgry":[{"value":"214001001","labl":"Santo Domingo de Guzman, Santo Domingo Este, Santo Domingo oeste, Santo Domingo Norte, Boca Chica, San Antonio de Guerra, Los Alcarrizos, Pedro Brand","is_missing":null,"stats":[]},{"value":"214002001","labl":"Las Charcas, Las Yayas de Viajama, Padre las Casas, Peralta, Sabana Yegua, Pueblo Viejo, T\u00e1bara Arriba, Guayabal, Esteban\u00eda, Azua","is_missing":null,"stats":[]},{"value":"214003001","labl":"Neiba, Galvan","is_missing":null,"stats":[]},{"value":"214003002","labl":"Tamayo, Vicente Noble","is_missing":null,"stats":[]},{"value":"214003003","labl":"Villa Jaragua, Los R\u00edos, Postrer R\u00edo","is_missing":null,"stats":[]},{"value":"214003004","labl":"Barahona, El Pe\u00f1on, La Cienaga, Fundaci\u00f3n, Jaquimeyes","is_missing":null,"stats":[]},{"value":"214003005","labl":"Cabral, Las Salinas, Duverg\u00e9, Crist\u00f3bal, 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More information on IPUMS-International geography can be found here.","var_catgry":[{"value":"001001","labl":"National district","is_missing":null,"stats":[]},{"value":"002001","labl":"Hig\u00fcey, San Rafael del Yuma","is_missing":null,"stats":[]},{"value":"002002","labl":"La Romana","is_missing":null,"stats":[]},{"value":"003001","labl":"Azua, Puerto Viejo","is_missing":null,"stats":[]},{"value":"003002","labl":"Padre Las Casas","is_missing":null,"stats":[]},{"value":"004001","labl":"Neiba","is_missing":null,"stats":[]},{"value":"004002","labl":"Tamayo, Vicente Noble","is_missing":null,"stats":[]},{"value":"004003","labl":"Jose Trujillo Valdez","is_missing":null,"stats":[]},{"value":"005001","labl":"Barahona","is_missing":null,"stats":[]},{"value":"005002","labl":"Enriquillo, Cabral, Para\u00edso","is_missing":null,"stats":[]},{"value":"006001","labl":"El Cercado","is_missing":null,"stats":[]},{"value":"006002","labl":"San 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More information on IPUMS-International geography can be found here.","var_catgry":[{"value":"01","labl":"Cibao Norte","is_missing":null,"stats":[]},{"value":"02","labl":"Cibao Sur","is_missing":null,"stats":[]},{"value":"03","labl":"Cibao Nordeste","is_missing":null,"stats":[]},{"value":"04","labl":"Cibao Noroeste","is_missing":null,"stats":[]},{"value":"05","labl":"Valdesia","is_missing":null,"stats":[]},{"value":"06","labl":"Enriquillo","is_missing":null,"stats":[]},{"value":"07","labl":"El Valle","is_missing":null,"stats":[]},{"value":"08","labl":"Yuma and Higuamo","is_missing":null,"stats":[]},{"value":"10","labl":"Ozama","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":null,"vocab":null,"uri":null}],"var_format":{"type":"numeric","schema":null,"category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"DO1960A_DWNUM","name":"DO1960A_DWNUM","var_intrvl":"contin","var_dcml":null,"var_wgt":null,"var_is_wgt":null,"loc_start_pos":"142","loc_end_pos":"148","loc_width":"7","loc_rec_seg_no":null,"labl":"Dwelling number","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":"Dominican Republic 1960: All records [discrepancies: none]","var_universe_clusion":null,"var_sumstat":[],"var_txt":"This variable is an identifying number unique to each dwelling in the sample.","var_catgry":[],"var_codinstr":"This is a 7-digit numeric variable with 0 implied decimal places","var_concept":[{"title":null,"vocab":null,"uri":null}],"var_format":{"type":"numeric","schema":null,"category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"DO1960A_PERN","name":"DO1960A_PERN","var_intrvl":"discrete","var_dcml":null,"var_wgt":null,"var_is_wgt":null,"loc_start_pos":"149","loc_end_pos":"149","loc_width":"1","loc_rec_seg_no":null,"labl":"Number of persons in household","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":"Dominican Republic 1960:","var_universe_clusion":null,"var_sumstat":[],"var_txt":"This variable 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).","var_catgry":[{"value":"1","labl":"1","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":null,"vocab":null,"uri":null}],"var_format":{"type":"numeric","schema":null,"category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"DO1960A_FBIG_NH","name":"DO1960A_FBIG_NH","var_intrvl":"discrete","var_dcml":null,"var_wgt":null,"var_is_wgt":null,"loc_start_pos":"150","loc_end_pos":"150","loc_width":"1","loc_rec_seg_no":null,"labl":"Number of persons in large household before it was split","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":"Dominican Republic 1960: All records [discrepancies: none]","var_universe_clusion":null,"var_sumstat":[],"var_txt":"This variable indicates the number of persons in the large household before it was split if the dwelling was created by splitting apart a large household.","var_catgry":[{"value":null,"labl":"Not split","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":null,"vocab":null,"uri":null}],"var_format":{"type":"numeric","schema":null,"category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"DO1960A_URBAN","name":"DO1960A_URBAN","var_intrvl":"discrete","var_dcml":null,"var_wgt":null,"var_is_wgt":null,"loc_start_pos":"151","loc_end_pos":"151","loc_width":"1","loc_rec_seg_no":null,"labl":"Urban-rural status","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h1\">A. 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The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others.\n\nEmployment status is sometimes referred to in other sources as \"activity status\".","var_catgry":[{"value":"000","labl":"NIU (not in universe)","is_missing":null,"stats":[]},{"value":"100","labl":"Employed, not specified","is_missing":null,"stats":[]},{"value":"110","labl":"At work","is_missing":null,"stats":[]},{"value":"111","labl":"At work, and 'student'","is_missing":null,"stats":[]},{"value":"112","labl":"At work, and 'housework'","is_missing":null,"stats":[]},{"value":"113","labl":"At work, and 'seeking work'","is_missing":null,"stats":[]},{"value":"114","labl":"At work, and 'retired'","is_missing":null,"stats":[]},{"value":"115","labl":"At work, and 'no work'","is_missing":null,"stats":[]},{"value":"116","labl":"At work, and other situation","is_missing":null,"stats":[]},{"value":"117","labl":"At work, family holding, not specified","is_missing":null,"stats":[]},{"value":"118","labl":"At work, family holding, not agricultural","is_missing":null,"stats":[]},{"value":"119","labl":"At work, family holding, agricultural","is_missing":null,"stats":[]},{"value":"120","labl":"Have job, not at work in reference period","is_missing":null,"stats":[]},{"value":"130","labl":"Armed forces","is_missing":null,"stats":[]},{"value":"131","labl":"Armed forces, at work","is_missing":null,"stats":[]},{"value":"132","labl":"Armed forces, not at work in reference period","is_missing":null,"stats":[]},{"value":"133","labl":"Military trainee","is_missing":null,"stats":[]},{"value":"140","labl":"Marginally employed","is_missing":null,"stats":[]},{"value":"200","labl":"Unemployed, not specified","is_missing":null,"stats":[]},{"value":"201","labl":"Unemployed 6 or more months","is_missing":null,"stats":[]},{"value":"202","labl":"Worked fewer than 6 months, permanent job","is_missing":null,"stats":[]},{"value":"203","labl":"Worked fewer than 6 months, temporary job","is_missing":null,"stats":[]},{"value":"210","labl":"Unemployed, experienced worker","is_missing":null,"stats":[]},{"value":"220","labl":"Unemployed, new worker","is_missing":null,"stats":[]},{"value":"230","labl":"No work available","is_missing":null,"stats":[]},{"value":"240","labl":"Inactive unemployed","is_missing":null,"stats":[]},{"value":"300","labl":"Inactive (not in labor force)","is_missing":null,"stats":[]},{"value":"310","labl":"Housework","is_missing":null,"stats":[]},{"value":"320","labl":"Unable to work, disabled or health reasons","is_missing":null,"stats":[]},{"value":"321","labl":"Permanent disability","is_missing":null,"stats":[]},{"value":"322","labl":"Temporary illness","is_missing":null,"stats":[]},{"value":"323","labl":"Disabled or imprisoned","is_missing":null,"stats":[]},{"value":"330","labl":"In school","is_missing":null,"stats":[]},{"value":"340","labl":"Retirees and living on rent","is_missing":null,"stats":[]},{"value":"341","labl":"Living on rents","is_missing":null,"stats":[]},{"value":"342","labl":"Living on rents or pension","is_missing":null,"stats":[]},{"value":"343","labl":"Retirees\/pensioners","is_missing":null,"stats":[]},{"value":"344","labl":"Retired","is_missing":null,"stats":[]},{"value":"345","labl":"Pensioner","is_missing":null,"stats":[]},{"value":"346","labl":"Non-retirement pension","is_missing":null,"stats":[]},{"value":"347","labl":"Disability pension","is_missing":null,"stats":[]},{"value":"348","labl":"Retired without benefits","is_missing":null,"stats":[]},{"value":"350","labl":"Elderly","is_missing":null,"stats":[]},{"value":"351","labl":"Elderly or disabled","is_missing":null,"stats":[]},{"value":"360","labl":"Institutionalized","is_missing":null,"stats":[]},{"value":"361","labl":"Prisoner","is_missing":null,"stats":[]},{"value":"370","labl":"Intermittent worker","is_missing":null,"stats":[]},{"value":"371","labl":"Not working, seasonal worker","is_missing":null,"stats":[]},{"value":"372","labl":"Not working, occasional worker","is_missing":null,"stats":[]},{"value":"380","labl":"Other income recipient","is_missing":null,"stats":[]},{"value":"390","labl":"Inactive, other reasons","is_missing":null,"stats":[]},{"value":"391","labl":"Too young to work","is_missing":null,"stats":[]},{"value":"392","labl":"Dependent","is_missing":null,"stats":[]},{"value":"999","labl":"Unknown\/missing","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":null,"vocab":null,"uri":null}],"var_format":{"type":"numeric","schema":null,"category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"LABFORCE","name":"LABFORCE","var_intrvl":"discrete","var_dcml":null,"var_wgt":null,"var_is_wgt":null,"loc_start_pos":"74","loc_end_pos":"74","loc_width":"1","loc_rec_seg_no":null,"labl":"Labor force participation","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"LABFORCE is a dichotomous variable identifying whether a person participated in the labor force.  Labor force participation generally means working or seeking work within a specified reference period.\n\nFor 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.","var_catgry":[{"value":"1","labl":"No, not in the labor force","is_missing":null,"stats":[]},{"value":"2","labl":"Yes, in the labor force","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":null,"vocab":null,"uri":null}],"var_format":{"type":"numeric","schema":null,"category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"OCCISCO","name":"OCCISCO","var_intrvl":"discrete","var_dcml":null,"var_wgt":null,"var_is_wgt":null,"loc_start_pos":"75","loc_end_pos":"76","loc_width":"2","loc_rec_seg_no":null,"labl":"Occupation, ISCO general","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money.","var_catgry":[{"value":"01","labl":"Legislators, senior officials and managers","is_missing":null,"stats":[]},{"value":"02","labl":"Professionals","is_missing":null,"stats":[]},{"value":"03","labl":"Technicians and associate professionals","is_missing":null,"stats":[]},{"value":"04","labl":"Clerks","is_missing":null,"stats":[]},{"value":"05","labl":"Service workers and shop and market sales","is_missing":null,"stats":[]},{"value":"06","labl":"Skilled agricultural and fishery workers","is_missing":null,"stats":[]},{"value":"07","labl":"Crafts and related trades workers","is_missing":null,"stats":[]},{"value":"08","labl":"Plant and machine operators and assemblers","is_missing":null,"stats":[]},{"value":"09","labl":"Elementary occupations","is_missing":null,"stats":[]},{"value":"10","labl":"Armed forces","is_missing":null,"stats":[]},{"value":"11","labl":"Other occupations, unspecified or n.e.c.","is_missing":null,"stats":[]},{"value":"97","labl":"Response suppressed","is_missing":null,"stats":[]},{"value":"98","labl":"Unknown","is_missing":null,"stats":[]},{"value":"99","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":null,"vocab":null,"uri":null}],"var_format":{"type":"numeric","schema":null,"category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"OCC","name":"OCC","var_intrvl":"contin","var_dcml":null,"var_wgt":null,"var_is_wgt":null,"loc_start_pos":"77","loc_end_pos":"80","loc_width":"4","loc_rec_seg_no":null,"labl":"Occupation, unrecoded","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census.\n\nTo 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.","var_catgry":[],"var_codinstr":"OCC is a 4-digit numeric variable.\n\nSome samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes.\n\n\nCodesArgentina 1970 - Spanish\nArgentina 1980 - Spanish\nArgentina 1991 - Spanish\nArgentina 2001 - Spanish\nArmenia 2011\nAustria 1971-2001 - German\nBelarus 1999 - Russian\nBelarus 2009\nBenin 1979\nBenin 1992\nBenin 2002\nBenin 2013\nBolivia 1976\nBolivia 1992\nBolivia 2001\nBolivia 2012\nBotswana 1981\nBotswana 1991\nBotswana 2001\nBotswana 2011\nBrazil 1960 - Portuguese\nBrazil 1970 - Portuguese\nBrazil 1980 - Portuguese\nBrazil 1991 - Portuguese\nBrazil 2000 - Portuguese\nBrazil 2010\nBurkina Faso 1985\nBurkina Faso 1996\nCambodia 1998\nCambodia 2004\nCambodia 2008\nCambodia 2013\nCambodia 2019\nCameroon 1976\nCameroon 2005\nCanada 1971\nCanada 1981-1991\nCanada 2001\nCanada 2011\nChile 1960 \nChile 1970 \nChile 1982 \nChile 1992 \nChile 2002 \nChina 1982\nChina 1990\nChina 2000\nColombia 1964\nColombia 1973 - Spanish\nCosta Rica 1973 \nCosta Rica 1984 \nCosta Rica 2000 \nCosta Rica 2011\nCote d'Ivoire 1988\nCote d'Ivoire 1998\nCuba 2002\nCuba 2012\nDenmark 1845\nDenmark 1880\nDenmark 1885\nDominican Republic 1960\nDominican Republic 1970\nDominican Republic 1981\nDominican Republic 2002\nDominican Republic 2010\nEcuador 1962\nEcuador 1974\nEcuador 1982\nEcuador 1990\nEcuador 2001\nEcuador 2010\nEgypt 1986\nEgypt 2006\nEl Salvador 1992\nEl Salvador 2007\nEthiopia 1984\nEthiopia 1994\nFiji 1976\nFiji 1986\nFiji 1996\nFiji 2007\nFiji 2014\nFinland 2010\nFrance 1962-1990 - French\nFrance 1999\nFrance 2006\nFrance 2011\nGermany 1970\nGermany 1981\nGermany 1987\nGhana 1984\nGhana 2000\nGhana 2010\nGreece 1971-1991  - Greek\nGreece 2001  - Greek\nGreece 2011\nGuatemala 1964\nGuatemala 1973\nGuatemala 1981\nGuatemala 1994\nGuatemala 2002\nGuinea 1983\nGuinea 1996\nGuinea 2014\nHaiti 1982\nHaiti 2003\nHonduras 1961\nHonduras 1974\nHonduras 1988\nHonduras 2001\nHungary 1970-1990\nHungary 2001\nHungary 2011\nIndia 1983-2004\nIndia 2009\nIndonesia 1971\nIndonesia 1976\nIndonesia 1980\nIndonesia 1985\nIndonesia 1990\nIndonesia 1995\nIndonesia 2005\nIran 2006\nIran 2011\nIraq 1997\nIreland 1901\nIreland 1911\nIreland 1971\nIreland 1981\nIreland 1986\nIreland 1991\nIreland 1996\nIreland 2002\nIreland 2006\nIreland 2011\nIreland 2016\nIsrael 1972\nIsrael 1983\nIsrael 1995\nIsrael 2008\nItaly 2001\nItaly 2011\nItaly Surveys 2011-2020\nJamaica 1982\nJamaica 1991\nJamaica 2001\nJordan 2004\nKenya 1989\nKyrgyz Republic 1999\nLaos 1995\nLesotho 1996\nLesotho 2006\nLiberia 1974\nLiberia 2008\nMalawi 1987\nMalawi 1998\nMalawi 2008\nMalaysia 1970\nMalaysia 1980-1991\nMalaysia 2000\nMali 1987\n Mali 1998\nMali 2009\nMauritius 1990\nMauritius 2000\nMauritius 2011\nMexico 1960 - Spanish\nMexico 1970 - Spanish\nMexico 1990 - Spanish\nMexico 1995 - Spanish\nMexico 2000 - Spanish\nMexico 2010\nMexico 2015\nMexico 2020\nMexico Surveys 2005-2020\nMongolia 2000\nMorocco 1982\nMorocco 1994\nMorocco 2004\nMorocco 2014\nMozambique 1997\nMozambique 2007\nMyanmar 2014\nNepal 2001\nNepal 2011\nNetherlands 1960\nNetherlands 1971\nNetherlands 2001\nNetherlands 2011\nNicaragua 1971\nNicaragua 1995\nNicaragua 2005\nNigeria 2008\nNigeria 2009\nNigeria 2010\nPakistan 1973\nPalestine 1997\nPalestine 2007\nPalestine 2017\nPanama 1960 - Spanish\nPanama 1970 - Spanish\nPanama 1980 - Spanish\nPanama 1990 - Spanish\nPanama 2000 - Spanish\nPanama 2010\nPapua New Guinea 1980\nPapua New Guinea 1990\nPapua New Guinea 2000\nParaguay 1962\nParaguay 1972\nParaguay 1982\nParaguay 1992\nParaguay 2002\nPeru 1993\nPeru 2007\nPeru 2017\nPhilippines 1990\nPhilippines 2000 \nPhilippines 2010 \nPoland 1978\nPoland 1988\nPoland 2002\nPortugal 1981 - Portuguese\nPortugal 1991 - Portuguese\nPortugal 2001 - Portuguese\nPortugal 2011\nPuerto Rico 1970\nPuerto Rico 1980\nPuerto Rico 1990\nPuerto Rico 2000-2005\nPuerto Rico 2010\nPuerto Rico 2015\nPuerto Rico 2020\nRomania 1977\nRomania 1992 \nRomania 2002\nRomania 2011\nRwanda 2002 - French\nRwanda 2012\nSaint Lucia 1991\nSenegal 1988\nSenegal 2002\nSenegal 2013\nSlovak Republic 1991\n Slovak Republic 2001\n Slovak Republic 2011\nSierra Leone 2004\nSierra Leone 2015\nSlovenia 2002\nSouth Africa 1996 \nSouth Africa 2001 \nSouth Africa 2007\nSouth Sudan 2008\nSpain 1981 - Spanish\nSpain 1991 - Spanish\nSpain 2001 - Spanish\nSpain 2011 \nSpain Surveys 2005-2020 \nSudan 2008\nSuriname 2004\nSuriname 2012\nSwitzerland 1970\nSwitzerland 1980\nSwitzerland 1990\nSwitzerland 2000\nSwitzerland 2011\nTanzania 1988\nTanzania 2002\nTanzania 2012\nThailand 1970\nThailand 1980\nThailand 1990\nThailand 2000\nTogo 1960\nTogo 1970\nTogo 2010\nTrinidad and Tobago 1990\nTrinidad and Tobago 2000\nTrinidad and Tobago 2011\nTurkey 1985\nTurkey 1990\nTurkey 2000\nUganda 1991\nUganda 2002\nUganda 2014\nUnited Kingdom 1961\nUnited Kingdom 1971\nUnited Kingdom 1991\nUnited Kingdom 2001\nUnited States 1960\nUnited States 1970\nUnited States 1980\nUnited States 1990\nUnited States 2000-2005\nUnited States 2010\nUnited States 2015\nUnited States 2020\nUruguay 1963\nUruguay 1975\nUruguay 1996\nUruguay 2006\nVenezuela 1981 \nVenezuela 1990 \nVenezuela 2001 - Spanish\nVietnam 1989\nVietnam 1999\nVietnam 2009\nVietnam 2019\nZambia 1990\nZambia 2000\nZambia 2010\nZimbabwe 2012","var_concept":[{"title":null,"vocab":null,"uri":null}],"var_format":{"type":"numeric","schema":null,"category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"INDGEN","name":"INDGEN","var_intrvl":"discrete","var_dcml":null,"var_wgt":null,"var_is_wgt":null,"loc_start_pos":"81","loc_end_pos":"83","loc_width":"3","loc_rec_seg_no":null,"labl":"Industry, general recode","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples.\n\n\"Industry\" refers to the activity or product of the establishment or sector in which a person worked.","var_catgry":[{"value":"000","labl":"NIU (not in universe)","is_missing":null,"stats":[]},{"value":"010","labl":"Agriculture, fishing, and forestry","is_missing":null,"stats":[]},{"value":"020","labl":"Mining and extraction","is_missing":null,"stats":[]},{"value":"030","labl":"Manufacturing","is_missing":null,"stats":[]},{"value":"040","labl":"Electricity, gas, water and waste management","is_missing":null,"stats":[]},{"value":"050","labl":"Construction","is_missing":null,"stats":[]},{"value":"060","labl":"Wholesale and retail trade","is_missing":null,"stats":[]},{"value":"070","labl":"Hotels and restaurants","is_missing":null,"stats":[]},{"value":"080","labl":"Transportation, storage, and communications","is_missing":null,"stats":[]},{"value":"090","labl":"Financial services and insurance","is_missing":null,"stats":[]},{"value":"100","labl":"Public administration and defense","is_missing":null,"stats":[]},{"value":"110","labl":"Services, not specified","is_missing":null,"stats":[]},{"value":"111","labl":"Business services and real estate","is_missing":null,"stats":[]},{"value":"112","labl":"Education","is_missing":null,"stats":[]},{"value":"113","labl":"Health and social work","is_missing":null,"stats":[]},{"value":"114","labl":"Other services","is_missing":null,"stats":[]},{"value":"120","labl":"Private household services","is_missing":null,"stats":[]},{"value":"130","labl":"Other industry, n.e.c.","is_missing":null,"stats":[]},{"value":"998","labl":"Response suppressed","is_missing":null,"stats":[]},{"value":"999","labl":"Unknown","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":null,"vocab":null,"uri":null}],"var_format":{"type":"numeric","schema":null,"category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"IND","name":"IND","var_intrvl":"contin","var_dcml":null,"var_wgt":null,"var_is_wgt":null,"loc_start_pos":"84","loc_end_pos":"88","loc_width":"5","loc_rec_seg_no":null,"labl":"Industry, unrecoded","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"\"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.","var_catgry":[],"var_codinstr":"IND is a 5-digit numeric variable.\n\nSome samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes.\n\n\nCodesArgentina 1970 - Spanish\nArgentina 1980 - Spanish\nArgentina 1991 - Spanish\nArgentina 2001 - Spanish\nArmenia 2001\nArmenia 2011\nAustria 1971-2001 - German\nAustria 2011\nBangladesh 1991\nBangladesh 2001\nBangladesh 2011\nBelarus 2009\nBenin 1979\nBenin 1992\nBenin 2002\nBenin 2013\nBolivia 1976\nBolivia 1992\nBolivia 2001\nBolivia 2012\nBotswana 1981\nBotswana 1991\nBotswana 2001\nBotswana 2011\nBrazil 1960 - Portuguese\nBrazil 1970 - Portuguese\nBrazil 1980 - Portuguese\nBrazil 1991 - Portuguese\nBrazil 2000 - Portuguese\nBrazil 2010\nBurkina Faso 1996\nCambodia 1998\nCambodia 2004\nCambodia 2008\nCambodia 2013\nCambodia 2019\nCameroon 2005\nCanada 1971\nCanada 1981\nCanada 1991-2001\nCanada 2011\nChile 1960 \nChile 1970 \nChile 1982 \nChile 1992 \nChile 2002 \nChile 2017 \nChina 1982\nChina 1990\nChina 2000\nColombia 1964 - Spanish\nColombia 1973 - Spanish\nColombia 1993 - Spanish\nColombia 2005 - Spanish\nCosta Rica 1963 \nCosta Rica 1973 \nCosta Rica 1984 \nCosta Rica 2000 \nCosta Rica 2011\nCote d\u2019Ivoire 1988\nCote d\u2019Ivoire 1998\nCuba 2002\nCuba 2012\nDominican Republic 1960\nDominican Republic 1970\nDominican Republic 1981\nDominican Republic 2002\nDominican Republic 2010\nEcuador 1962 \nEcuador 1982 \nEcuador 1990 \nEcuador 2001 \nEcuador 2010\nEgypt 1986\nEgypt 1996\nEgypt 2006\nEl Salvador 1992\nEl Salvador 2007\nEthiopia 1984\nEthiopia 1994\nFiji 1966\nFiji 1976\nFiji 1986\nFiji 1996\nFiji 2007\nFiji 2014\nFinland 2010\nFrance 1962-1968 - French\nFrance 1975-1982 - French\nFrance 1990 - French\nFrance 1999\nFrance 2006\nFrance 2011\nGermany 1970\nGermany 1971\nGermany 1981\nGermany 1987\nGhana 1984\nGhana 2000\nGhana 2010\nGreece 1971\nGreece 1981\nGreece 1991-2001\nGreece 2011\nGuatemala 1964\nGuatemala 1973\nGuatemala 1981\nGuatemala 1994\nGuatemala 2002\nGuinea 1983\nGuinea 2014\nHaiti 1971\nHaiti 1982\nHaiti 2003\nHonduras 1961\nHonduras 1974\nHonduras 2001\nHungary 2001\nHungary 2011\nIndia 1983\nIndia 1987\nIndia 1993\nIndia 1999\nIndia 2004\nIndia 2009\nIndonesia 1971\nIndonesia 1976\nIndonesia 1980\nIndonesia 1985\nIndonesia 1990\nIndonesia 1995\nIndonesia 2000\nIndonesia 2005\nIndonesia 2010\nIran 2006\nIran 2011\nIraq 1997\nIreland 1971\nIreland 1981\nIreland 1986\nIreland 1991\nIreland 1996\nIreland 2002\nIreland 2006\nIreland 2011\nIreland 2016\nIsrael 1972\nIsrael 1983\nIsrael 1995\nIsrael 2008\nItaly 2001\nItaly 2011\nItaly Surveys 2011-2013\nItaly Surveys 2014-2020\nJamaica 1982\nJamaica 1991\nJamaica 2001\nJordan 2004\nKyrgyz Republic 1999\nKyrgyz Republic 2009\nLaos 1995\nLaos 2005\nLaos 2015\nLesotho 2006\nLiberia 1974\nLiberia 2008\nMalawi 1987\nMalawi 1998\nMalawi 2008\nMalaysia 1970\nMalaysia 1980-1991\nMalaysia 2000\nMali 1987\nMali 1998\nMali 2009\nMauritius 1990\nMauritius 2000\nMauritius 2011\nMexico 1960 - Spanish\nMexico 1970 - Spanish\nMexico 1990 - Spanish\nMexico 1995 - Spanish\nMexico 2000 - Spanish\nMexico 2010\nMexico 2015\nMexico 2020\nMexico surveys 2005-2019\nMorocco 1982\nMorocco 1994\nMorocco 2004\nMorocco 2014\nMozambique 1997\nMozambique 2007\nMyanmar 2014\nNepal 2001\nNepal 2011\nNetherlands 1960\nNetherlands 1971\nNetherlands 2001\nNetherlands 2011\nNicaragua 1971\nNicaragua 1995\nNicaragua 2005\nNigeria 2006\nNigeria 2007\nNigeria 2008\nNigeria 2009\nNigeria 2010\nPakistan 1973\nPalestine 1997\nPalestine 2007\nPalestine 2017\nPanama 1960 - Spanish\nPanama 1970-1980 - Spanish\nPanama 1990-2000 - Spanish\nPanama 2010\nPapua New Guinea 1980\nPapua New Guinea 2000\nParaguay 1962\nParaguay 1972\nParaguay 1982\nParaguay 1992\nParaguay 2002\nPeru 1993\nPeru 2007\nPeru 2017\nPhilippines 1990\nPhilippines 1995\nPhilippines 2000\nPhilippines 2010\nPoland 1978\nPoland 2002\nPortugal 1981 - Portuguese\nPortugal 1991-2001 - Portuguese\nPortugal 2011\nPuerto Rico 1970-2005\nPuerto Rico 2010\nPuerto Rico 2015\nPuerto Rico 2020\nRomania 1977\nRomania 1992\nRomania 2002\nRomania 2011\nRwanda 2002 - French\nRwanda 2012\nSaint Lucia 1991\nSenegal 1988\nSenegal 2013\nSierra Leone 2004\nSouth Africa 1996 \nSouth Africa 2001-2007\nSouth Sudan 2008\nSpain 1981 - Spanish\nSpain 1991 - Spanish\nSpain 2001 - Spanish\nSpain 2011\nSpain Surveys 2005-2020 \nSudan 2008\nSuriname 2004\nSuriname 2012\nSwitzerland 1970-2000\nSwitzerland 2011\nTanzania 2002\nTanzania 2012\nThailand 1970\nThailand 1980\nThailand 1990\nThailand 2000\nTogo 1970\nTogo 2010\nTrinidad and Tobago 1980\nTrinidad and Tobago 1990\nTrinidad and Tobago 2000\nTurkey 1985\nTurkey 1990\nTurkey 2000\nUganda 2002\nUnited Kingdom 1961\nUnited Kingdom 1971\nUnited Kingdom 1991\nUnited Kingdom 2001\nUnited States 1960\nUnited States 1970\nUnited States 1980\nUnited States 1990\nUnited States 2000-2005\nUnited States 2010\nUnited States 2015\nUnited States 2020\nUruguay 1963\nUruguay 1985\nUruguay 1996\nUruguay 2006\nVenezuela 1981 \nVenezuela 1990 \nVenezuela 2001 - Spanish\nVietnam 1989\nVietnam 1999\nVietnam 2009\nVietnam 2019\nZambia 1990\nZambia 2000\nZambia 2010","var_concept":[{"title":null,"vocab":null,"uri":null}],"var_format":{"type":"numeric","schema":null,"category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"CLASSWK","name":"CLASSWK","var_intrvl":"discrete","var_dcml":null,"var_wgt":null,"var_is_wgt":null,"loc_start_pos":"89","loc_end_pos":"89","loc_width":"1","loc_rec_seg_no":null,"labl":"Status in employment (class of worker) [general version]","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"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. 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Able to read and write?\n<br \/>Write yes or no.<\/p>\n<div class=\"i1\">____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":"Dominican Republic 1960: All persons [discrepancies: none]","var_universe_clusion":null,"var_sumstat":[],"var_txt":"This variable indicates whether or not the individual is capable of reading and writing a simple paragraph in any language.","var_catgry":[{"value":"1","labl":"Literate","is_missing":null,"stats":[]},{"value":"2","labl":"Illiterate","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":null,"vocab":null,"uri":null}],"var_format":{"type":"numeric","schema":null,"category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"DO1960A_SCHOOL","name":"DO1960A_SCHOOL","var_intrvl":"discrete","var_dcml":null,"var_wgt":null,"var_is_wgt":null,"loc_start_pos":"100","loc_end_pos":"100","loc_width":"1","loc_rec_seg_no":null,"labl":"Currently attending school","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"13. School attendance (For those 5 years of age and older.)\n<br \/>The year underway or just completed, followed by the letter P, S or U. Write U.A. for those who attend a literacy center.<\/p>\n<div class=\"i1\">____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":"Dominican Republic 1960: All persons [discrepancies: none]","var_universe_clusion":null,"var_sumstat":[],"var_txt":"This variable indicates whether or not the individual was registered and attending a regular public or private educational institution at the time of enumeration.","var_catgry":[{"value":"1","labl":"Attending","is_missing":null,"stats":[]},{"value":"2","labl":"Not attending","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":null,"vocab":null,"uri":null}],"var_format":{"type":"numeric","schema":null,"category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"DO1960A_EDLEV","name":"DO1960A_EDLEV","var_intrvl":"discrete","var_dcml":null,"var_wgt":null,"var_is_wgt":null,"loc_start_pos":"101","loc_end_pos":"102","loc_width":"2","loc_rec_seg_no":null,"labl":"Highest education level completed","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"12. Last year of schooling completed.\n<br \/>Add the letter P when the last year corresponds to primary, the letter S when secondary, the letter U when university. <\/p>\n<div class=\"i1\">____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":"Dominican Republic 1960: All persons [discrepancies: none]","var_universe_clusion":null,"var_sumstat":[],"var_txt":"This variable indicates the last academic level fully completed by the individual for individuals attending school at the time of enumeration and for individuals who attended school sometime before enumeration.","var_catgry":[{"value":"00","labl":"None","is_missing":null,"stats":[]},{"value":"11","labl":"Primary, year 1","is_missing":null,"stats":[]},{"value":"12","labl":"Primary, year 2","is_missing":null,"stats":[]},{"value":"13","labl":"Primary, year 3","is_missing":null,"stats":[]},{"value":"14","labl":"Primary, year 4","is_missing":null,"stats":[]},{"value":"15","labl":"Primary, year 5","is_missing":null,"stats":[]},{"value":"16","labl":"Primary, year 6","is_missing":null,"stats":[]},{"value":"17","labl":"Primary, year 7","is_missing":null,"stats":[]},{"value":"19","labl":"Primary, year unknown","is_missing":null,"stats":[]},{"value":"21","labl":"Secondary, year 1","is_missing":null,"stats":[]},{"value":"22","labl":"Secondary, year 2","is_missing":null,"stats":[]},{"value":"23","labl":"Secondary, year 3","is_missing":null,"stats":[]},{"value":"24","labl":"Secondary, year 4","is_missing":null,"stats":[]},{"value":"31","labl":"University, year 1","is_missing":null,"stats":[]},{"value":"32","labl":"University, year 2","is_missing":null,"stats":[]},{"value":"33","labl":"University, year 3","is_missing":null,"stats":[]},{"value":"34","labl":"University, year 4","is_missing":null,"stats":[]},{"value":"35","labl":"University, year 5","is_missing":null,"stats":[]},{"value":"36","labl":"University, year 6","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":null,"vocab":null,"uri":null}],"var_format":{"type":"numeric","schema":null,"category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"DO1960A_ECONACT","name":"DO1960A_ECONACT","var_intrvl":"discrete","var_dcml":null,"var_wgt":null,"var_is_wgt":null,"loc_start_pos":"103","loc_end_pos":"104","loc_width":"2","loc_rec_seg_no":null,"labl":"Economic activity","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":"Dominican Republic 1960: All persons [discrepancies: none]","var_universe_clusion":null,"var_sumstat":[],"var_txt":"This variable identifies the type of economic activity of the individual during the reference period: January 1st to August 7th, 1960.  Persons who worked for pay or as an unpaid family worker for one continuous week at any time during the reference period are categorized as employed, even if they were not working at the time of enumeration.","var_catgry":[{"value":"11","labl":"Employed or unpaid family worker","is_missing":null,"stats":[]},{"value":"21","labl":"Homemaker","is_missing":null,"stats":[]},{"value":"22","labl":"Student","is_missing":null,"stats":[]},{"value":"23","labl":"Retiree","is_missing":null,"stats":[]},{"value":"24","labl":"Rentier","is_missing":null,"stats":[]},{"value":"25","labl":"Disabled or prisoner","is_missing":null,"stats":[]},{"value":"26","labl":"Other not included above","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":null,"vocab":null,"uri":null}],"var_format":{"type":"numeric","schema":null,"category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"DO1960A_CLASSWKR","name":"DO1960A_CLASSWKR","var_intrvl":"discrete","var_dcml":null,"var_wgt":null,"var_is_wgt":null,"loc_start_pos":"105","loc_end_pos":"105","loc_width":"1","loc_rec_seg_no":null,"labl":"Status in employment","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"em\">For those individuals 10 years of age and older <\/span>\n<br \/>[Applies to questions 14 - 18]<\/p>\n\n<p>17. Occupational category.<\/p>\n<div class=\"i1\">E = employer, T. P. = self-employed, A = salaried employee, T. F. = family worker<br \/>____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":"Dominican Republic 1960: Persons age 10+ who were employed during the reference period [discrepancies: none]","var_universe_clusion":null,"var_sumstat":[],"var_txt":"This variable refers to the status of an employed person with respect to his or her employment during the reference period: January 1st to August 7th, 1960.  The variable indicates whether a person was an employer, was self-employed, or worked for someone else, either for pay or as an unpaid family worker.","var_catgry":[{"value":"1","labl":"Employer","is_missing":null,"stats":[]},{"value":"2","labl":"Self employed","is_missing":null,"stats":[]},{"value":"3","labl":"Salaried or waged employee","is_missing":null,"stats":[]},{"value":"4","labl":"Unpaid family worker","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":null,"vocab":null,"uri":null}],"var_format":{"type":"numeric","schema":null,"category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"DO1960A_OCC","name":"DO1960A_OCC","var_intrvl":"discrete","var_dcml":null,"var_wgt":null,"var_is_wgt":null,"loc_start_pos":"106","loc_end_pos":"109","loc_width":"4","loc_rec_seg_no":null,"labl":"Occupation","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"em\">For those individuals 10 years of age and older <\/span>\n<br \/>[Applies to questions 14 - 18]<\/p>\n\n<p>15. Profession, position or occupation.<\/p>\n<div class=\"i1\">The profession, position or occupation performing or performed this year. <br \/>____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":"Dominican Republic 1960: Persons age 10+ who were employed during the reference period [discrepancies: none]","var_universe_clusion":null,"var_sumstat":[],"var_txt":"This variable records the person's primary occupation during the reference period: January 1st to August 7th, 1960.  The groupings roughly conform to the first version of the International Standard Classification of Occupations, ISCO-58. For persons with two or more occupations at the time of enumeration, the occupation that the person considered to be the most important or that which earned more income was recorded. For persons who were not working at the time of enumeration but who did work during the reference period, the last occupation was recorded.","var_catgry":[{"value":"0101","labl":"Architects, engineers, surveyors, and related occupations","is_missing":null,"stats":[]},{"value":"0102","labl":"Chemists, pharmacists, geologists, physicists, and related occupations","is_missing":null,"stats":[]},{"value":"0104","labl":"Physicians, surgeons and dentists","is_missing":null,"stats":[]},{"value":"0106","labl":"Nurses and midwives","is_missing":null,"stats":[]},{"value":"0107","labl":"Teachers and professors","is_missing":null,"stats":[]},{"value":"0109","labl":"Lawyers, judges, and related occupations","is_missing":null,"stats":[]},{"value":"0110","labl":"Artists, writers, entertainers, and related occupations","is_missing":null,"stats":[]},{"value":"0111","labl":"Clergy, members of religious orders, and other religious and social welfare workers","is_missing":null,"stats":[]},{"value":"0112","labl":"Professionals and technicians not elsewhere classified","is_missing":null,"stats":[]},{"value":"0201","labl":"Administrators and executive officials, government","is_missing":null,"stats":[]},{"value":"0202","labl":"Directors and managers, wholesale and retail trade","is_missing":null,"stats":[]},{"value":"0203","labl":"Directors, managers, and working proprietors not elsewhere classified","is_missing":null,"stats":[]},{"value":"0301","labl":"Accountants","is_missing":null,"stats":[]},{"value":"0302","labl":"Assistant accountants, bookkeepers, debt collectors, and related occupations","is_missing":null,"stats":[]},{"value":"0303","labl":"Stenographers and typists","is_missing":null,"stats":[]},{"value":"0306","labl":"Postmen and messengers","is_missing":null,"stats":[]},{"value":"0307","labl":"Telephone, telegraph, and related telecommunications operators","is_missing":null,"stats":[]},{"value":"0308","labl":"Workers in transport and communication occupations not elsewhere classified","is_missing":null,"stats":[]},{"value":"0309","labl":"Clerical workers not elsewhere classified","is_missing":null,"stats":[]},{"value":"0401","labl":"Working proprietors, wholesale and retail trade","is_missing":null,"stats":[]},{"value":"0402","labl":"Shop assistants, vendors, and related workers","is_missing":null,"stats":[]},{"value":"0404","labl":"Commercial travelers and manufacturers' agents","is_missing":null,"stats":[]},{"value":"0405","labl":"Other merchants and related workers not elsewhere classified","is_missing":null,"stats":[]},{"value":"0501","labl":"Farmers, ranchers, and farm managers","is_missing":null,"stats":[]},{"value":"0502","labl":"Farm and garden workers","is_missing":null,"stats":[]},{"value":"0503","labl":"Fishermen and related workers","is_missing":null,"stats":[]},{"value":"0505","labl":"Loggers, rubber workers, and related workers","is_missing":null,"stats":[]},{"value":"0601","labl":"Coal and metal miners","is_missing":null,"stats":[]},{"value":"0605","labl":"Other coal and metal extraction occupations","is_missing":null,"stats":[]},{"value":"0610","labl":"Other extractive occupations","is_missing":null,"stats":[]},{"value":"0701","labl":"Chauffeurs, cart drivers, coachmen, and drivers of other vehicles","is_missing":null,"stats":[]},{"value":"0702","labl":"Railway engineers and stokers","is_missing":null,"stats":[]},{"value":"0704","labl":"Barge crew and boatmen","is_missing":null,"stats":[]},{"value":"0708","labl":"Transportation occupations not elsewhere classified","is_missing":null,"stats":[]},{"value":"0801","labl":"Spinners, weavers, knitters, dyers, and related workers","is_missing":null,"stats":[]},{"value":"0802","labl":"Tailors, cutters, furriers, and related workers","is_missing":null,"stats":[]},{"value":"0803","labl":"Shoemakers, shoe repairers, and leather-product makers","is_missing":null,"stats":[]},{"value":"0804","labl":"Carpenters, joiners, cabinetmakers, coopers, and related workers","is_missing":null,"stats":[]},{"value":"0805","labl":"Bricklayers, stonemasons, tile setters, and related workers","is_missing":null,"stats":[]},{"value":"0806","labl":"Painters and paperhangers","is_missing":null,"stats":[]},{"value":"0807","labl":"Plumbers, pipe fitters, riveters, and iron fitters","is_missing":null,"stats":[]},{"value":"0808","labl":"Electricians, radio and television repairers, and related electrical workers","is_missing":null,"stats":[]},{"value":"0809","labl":"Mechanics repairmen, machine and tool operators, and related workers","is_missing":null,"stats":[]},{"value":"0810","labl":"Precision instrument makers, watchmakers, jewelers, and related workers","is_missing":null,"stats":[]},{"value":"0811","labl":"Operators of stationary engines and excavating and lifting equipment and related workers","is_missing":null,"stats":[]},{"value":"0812","labl":"Compositors, pressmen, engravers, bookbinders and related workers","is_missing":null,"stats":[]},{"value":"0901","labl":"Smelters, rollers, blacksmiths, forgemen, and related workers","is_missing":null,"stats":[]},{"value":"0902","labl":"Potters, kilnmen, glass and clay formers, and related workers","is_missing":null,"stats":[]},{"value":"0903","labl":"Cookers, roasters, crushers, distillers, and other chemical industry workers","is_missing":null,"stats":[]},{"value":"0904","labl":"Meat cutters, butchers, bakers, millers, and related food and beverage workers","is_missing":null,"stats":[]},{"value":"0905","labl":"Cigar makers and tobacco product makers","is_missing":null,"stats":[]},{"value":"0909","labl":"Manufacturing workers and related occupations not elsewhere classified","is_missing":null,"stats":[]},{"value":"0910","labl":"Bottlers, packers, labelers, and related workers","is_missing":null,"stats":[]},{"value":"1001","labl":"Construction workers and day laborers","is_missing":null,"stats":[]},{"value":"1002","labl":"Longshoremen and related freight handlers","is_missing":null,"stats":[]},{"value":"1003","labl":"Launderers, dry cleaners and pressers in dry cleaning establishments","is_missing":null,"stats":[]},{"value":"1004","labl":"Laborers not elsewhere classified","is_missing":null,"stats":[]},{"value":"1101","labl":"Fire fighters, policemen, guards, and related workers","is_missing":null,"stats":[]},{"value":"1102","labl":"Housekeepers, cooks, maids in private households and related workers","is_missing":null,"stats":[]},{"value":"1103","labl":"Cooks, waiters, and managers not in private households","is_missing":null,"stats":[]},{"value":"1104","labl":"Private home launderers","is_missing":null,"stats":[]},{"value":"1105","labl":"Self employed launderers","is_missing":null,"stats":[]},{"value":"1107","labl":"Waiters, bartenders, and related workers","is_missing":null,"stats":[]},{"value":"1108","labl":"Barbers, hairdressers, beauticians, and related workers","is_missing":null,"stats":[]},{"value":"1109","labl":"Doormen, janitors, elevator operators, and related workers","is_missing":null,"stats":[]},{"value":"1110","labl":"Athletes, sportsmen, and related workers","is_missing":null,"stats":[]},{"value":"1111","labl":"Photographers and related camera operators","is_missing":null,"stats":[]},{"value":"1113","labl":"Other service workers","is_missing":null,"stats":[]},{"value":"1201","labl":"Members of the armed forces","is_missing":null,"stats":[]},{"value":"1204","labl":"Seeking first job","is_missing":null,"stats":[]},{"value":"2000","labl":"Other occupation, response suppressed","is_missing":null,"stats":[]},{"value":"9998","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9999","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":null,"vocab":null,"uri":null}],"var_format":{"type":"numeric","schema":null,"category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"DO1960A_IND","name":"DO1960A_IND","var_intrvl":"discrete","var_dcml":null,"var_wgt":null,"var_is_wgt":null,"loc_start_pos":"110","loc_end_pos":"111","loc_width":"2","loc_rec_seg_no":null,"labl":"Industry","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"em\">For those individuals 10 years of age and older <\/span>\n<br \/>[Applies to questions 14 - 18]<\/p>\n\n<p>16. Place of work.<\/p>\n<div class=\"i1\">Write the type of business, industry, commercial establishment, etc. where performing this occupation. <br \/>____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":"Dominican Republic 1960: Persons age 10+ who were employed during the reference period [discrepancies: none]","var_universe_clusion":null,"var_sumstat":[],"var_txt":"This variable refers to the activity of the establishment or sector in which a person worked during the reference period: January 1st to August 7th, 1960.  The groupings roughly conform to the first revision of the International Standard Industrial Classification of All Economic Activities (ISIC) issued in 1958.","var_catgry":[{"value":"01","labl":"Agriculture","is_missing":null,"stats":[]},{"value":"02","labl":"Forestry and logging","is_missing":null,"stats":[]},{"value":"04","labl":"Fishing","is_missing":null,"stats":[]},{"value":"12","labl":"Metal mining","is_missing":null,"stats":[]},{"value":"19","labl":"Other non metallic mining and quarrying","is_missing":null,"stats":[]},{"value":"20","labl":"Food manufacturing industries, except beverage industries","is_missing":null,"stats":[]},{"value":"21","labl":"Beverage industries","is_missing":null,"stats":[]},{"value":"22","labl":"Tobacco industries","is_missing":null,"stats":[]},{"value":"23","labl":"Manufacture of textiles","is_missing":null,"stats":[]},{"value":"24","labl":"Manufacture of footwear, wearing apparel, and other made up textile goods","is_missing":null,"stats":[]},{"value":"25","labl":"Manufacture of wood and cork, except manufacture of furniture","is_missing":null,"stats":[]},{"value":"26","labl":"Manufacture of furniture and fixtures","is_missing":null,"stats":[]},{"value":"27","labl":"Manufacture of paper and paper products","is_missing":null,"stats":[]},{"value":"28","labl":"Printing, publishing, and allied industries","is_missing":null,"stats":[]},{"value":"29","labl":"Manufacture of leather, leather products, and fur products, except footwear and other wearing apparel","is_missing":null,"stats":[]},{"value":"30","labl":"Manufacture of rubber products","is_missing":null,"stats":[]},{"value":"31","labl":"Manufacture of chemicals and chemical products","is_missing":null,"stats":[]},{"value":"32","labl":"Manufacture of petroleum and coal products","is_missing":null,"stats":[]},{"value":"34","labl":"Basic metals industries","is_missing":null,"stats":[]},{"value":"36","labl":"Manufacture of machinery, except electrical machinery","is_missing":null,"stats":[]},{"value":"37","labl":"Manufacture of electrical machinery, apparatus, appliances and supplies","is_missing":null,"stats":[]},{"value":"38","labl":"Manufacture of transport equipment","is_missing":null,"stats":[]},{"value":"40","labl":"Construction","is_missing":null,"stats":[]},{"value":"51","labl":"Electricity, gas, and steam","is_missing":null,"stats":[]},{"value":"52","labl":"Water and sanitary services","is_missing":null,"stats":[]},{"value":"61","labl":"Wholesale and retail trade","is_missing":null,"stats":[]},{"value":"62","labl":"Banks and other financial institutions","is_missing":null,"stats":[]},{"value":"63","labl":"Insurance","is_missing":null,"stats":[]},{"value":"64","labl":"Real estate","is_missing":null,"stats":[]},{"value":"71","labl":"Transport","is_missing":null,"stats":[]},{"value":"73","labl":"Communication","is_missing":null,"stats":[]},{"value":"81","labl":"Government services","is_missing":null,"stats":[]},{"value":"82","labl":"Community services","is_missing":null,"stats":[]},{"value":"83","labl":"Business services","is_missing":null,"stats":[]},{"value":"84","labl":"Recreation services","is_missing":null,"stats":[]},{"value":"85","labl":"Personal services","is_missing":null,"stats":[]},{"value":"90","labl":"Other industry, response suppressed","is_missing":null,"stats":[]},{"value":"98","labl":"Unknown","is_missing":null,"stats":[]},{"value":"99","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":null,"vocab":null,"uri":null}],"var_format":{"type":"numeric","schema":null,"category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"DO1960A_BPL","name":"DO1960A_BPL","var_intrvl":"discrete","var_dcml":null,"var_wgt":null,"var_is_wgt":null,"loc_start_pos":"112","loc_end_pos":"112","loc_width":"1","loc_rec_seg_no":null,"labl":"Born in different province or country","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h3\">Place of birth <\/span>[Applies to questions 8 and 9]<\/p>\n\n<p>8. For those born in the Dominican Republic, the name of the municipality. For foreigners, the name of the country.<\/p>\n<div class=\"i1\">____<\/div><p>9. (Only for those born in the Dominican Republic) For those born in a city, the name of the city. For those born in a section, its name.<\/p>\n<div class=\"i1\">____<\/div><p>10. Nationality (Only for those born abroad). Write the current nationality of the informant. <\/p>\n<div class=\"i1\">____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":"Dominican Republic 1960: All persons [discrepancies: none]","var_universe_clusion":null,"var_sumstat":[],"var_txt":"This variable indicates whether the person's birthplace is different from the province of residence at the time of enumeration.","var_catgry":[{"value":"1","labl":"In another province","is_missing":null,"stats":[]},{"value":"2","labl":"In another country","is_missing":null,"stats":[]},{"value":"9","labl":"Unknown","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":null,"vocab":null,"uri":null}],"var_format":{"type":"numeric","schema":null,"category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"}],"variable_groups":[]}